diff --git "a/Generation/test.jsonl" "b/Generation/test.jsonl"
new file mode 100644--- /dev/null
+++ "b/Generation/test.jsonl"
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+{"task_type": "generation", "dataset": "towe", "input": ["Boot time is super fast , around anywhere from 35 seconds to 1 minute ."], "output": "['Boot', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["tech support would not fix the problem unless I bought your plan for $ 150 plus ."], "output": "['tech', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Set up was easy ."], "output": "['Set', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Did not enjoy the new Windows 8 and touchscreen functions ."], "output": "['Windows', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Did not enjoy the new Windows 8 and touchscreen functions ."], "output": "['touchscreen', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Other than not being a fan of click pads ( industry standard these days ) and the lousy internal speakers , it 's hard for me to find things about this notebook I do n't like , especially considering the $ 350 price tag ."], "output": "['internal', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No installation disk ( DVD ) is included ."], "output": "['installation', ['included']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's fast , light , and simple to use ."], "output": "['use', ['fast', 'light', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Works well , and I am extremely happy to be back to an apple OS ."], "output": "['Works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Works well , and I am extremely happy to be back to an apple OS ."], "output": "['apple', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sure it 's not light and slim but the features make up for it 100 % ."], "output": "['features', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am pleased with the fast log on , speedy WiFi connection and the long battery life ( > 6 hrs ) ."], "output": "['log', ['pleased', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am pleased with the fast log on , speedy WiFi connection and the long battery life ( > 6 hrs ) ."], "output": "['WiFi', ['pleased', 'speedy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am pleased with the fast log on , speedy WiFi connection and the long battery life ( > 6 hrs ) ."], "output": "['battery', ['pleased', 'long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Apple engineers have not yet discovered the delete key ."], "output": "['delete', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Made interneting ( part of my business ) very difficult to maintain ."], "output": "['interneting', ['difficult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Luckily , for all of us contemplating the decision , the Mac Mini is priced just right ."], "output": "['priced', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Only problem that I had was that the track pad was not very good for me , I only had a problem once or twice with it , But probably my computer was a bit defective ."], "output": "['track', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is super fast and has outstanding graphics ."], "output": "['graphics', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the mountain lion is just too slow ."], "output": "['mountain', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Strong build though which really adds to its durability ."], "output": "['durability', ['Strong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Strong build though which really adds to its durability ."], "output": "['build', ['Strong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery life is excellent -- 6-7 hours without charging ."], "output": "['battery', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had my computer for 2 weeks already and it works perfectly ."], "output": "['works', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And I may be the only one but I am really liking Windows 8 ."], "output": "['Windows', ['liking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The baterry is very longer ."], "output": "['baterry', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its size is ideal and the weight is acceptable ."], "output": "['size', ['ideal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its size is ideal and the weight is acceptable ."], "output": "['weight', ['acceptable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can say that I am fully satisfied with the performance that the computer has supplied ."], "output": "['performance', ['satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has so much more speed and the screen is very sharp ."], "output": "['speed', ['much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has so much more speed and the screen is very sharp ."], "output": "['screen', ['sharp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything I wanted and everything I needed and the price was great !"], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's not inexpensive but the Hardware performance is impressive for a computer this small ."], "output": "['Hardware', ['impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This thing is awesome , everything always works , everything is always easy to set up , everything is compatible , its literally everything I could ask for ."], "output": "['works', ['always']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This thing is awesome , everything always works , everything is always easy to set up , everything is compatible , its literally everything I could ask for ."], "output": "['set', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Keyboard responds well to presses ."], "output": "['Keyboard', ['responds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Lastly , Windows 8 is annoying ."], "output": "['Windows', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything is so easy and intuitive to setup or configure ."], "output": "['setup', ['easy', 'intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything is so easy and intuitive to setup or configure ."], "output": "['configure', ['easy', 'intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Biggest complaint is Windows 8 ."], "output": "['Windows', ['complaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Only 2 usb ports ... seems kind of ... limited ."], "output": "['usb', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard ."], "output": "['features', ['expected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard ."], "output": "['screen', ['wide']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has all the expected features and more +plus a wide screen and more than roomy keyboard ."], "output": "['keyboard', ['roomy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Amazing Performance for anything I throw at it ."], "output": "['Performance', ['Amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The receiver was full of superlatives for the quality and performance ."], "output": "['quality', ['superlatives']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The receiver was full of superlatives for the quality and performance ."], "output": "['performance', ['superlatives']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was extremely happy with the OS itself ."], "output": "['OS', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The new MBP offers great portability and gives us confidence that we are not going to need to purchase a new laptop in 18 months ."], "output": "['portability', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The criticism has waned , and now I 'd be the first to recommend an Air for truly portable computing ."], "output": "['portable', ['recommend', 'truly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["MS Office 2011 for Mac is wonderful , well worth it ."], "output": "['MS', ['wonderful', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the performance of Mac Mini is a huge disappointment ."], "output": "['performance', ['disappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They do n't just look good ; they deliver excellent performance ."], "output": "['look', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They do n't just look good ; they deliver excellent performance ."], "output": "['performance', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display ... this thing is Fast and clear as can be ."], "output": "['lit', ['love', 'Fast', 'clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display ... this thing is Fast and clear as can be ."], "output": "['screen', ['love', 'Fast', 'clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows ."], "output": "['Mountain', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows ."], "output": "['Microsoft', ['familiar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , I can refute that OSX is `` FAST '' ."], "output": "['OSX', ['FAST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Enjoy using Microsoft Office !"], "output": "['Microsoft', ['Enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Incredible graphics and brilliant colors ."], "output": "['graphics', ['Incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Incredible graphics and brilliant colors ."], "output": "['colors', ['brilliant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Built-in apps are purely amazing ."], "output": "['Built-in', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["From the speed to the multi touch gestures this operating system beats Windows easily ."], "output": "['operating', ['beats']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I really like the size and I 'm a fan of the ACERS ."], "output": "['size', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ( $ 1500-2000 ) which also support `` accidents '' like drops and spills that are NOT covered by AppleCare ."], "output": "['SquareTrade', ['support']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ( $ 1500-2000 ) which also support `` accidents '' like drops and spills that are NOT covered by AppleCare ."], "output": "['AppleCare', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's light and easy to transport ."], "output": "['transport', ['light', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Once you get past learning how to use the poorly designed Windows 8 Set-Up you may feel frustrated ."], "output": "['Windows', ['poorly', 'frustrated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The aluminum body sure makes it stand out ."], "output": "['aluminum', ['stand']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is very easy to integrate bluetooth devices , and USB devices are recognized almost instantly ."], "output": "['integrate', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is very easy to integrate bluetooth devices , and USB devices are recognized almost instantly ."], "output": "['USB', ['instantly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And the fact that Apple is driving the 13 '' RMBP with the Intel4000 graphic chip seems underpowered ( to me ."], "output": "['Intel4000', ['underpowered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple removed the DVD drive Firewire port ( will work with adapter ) and put the SDXC slot in a silly position on the back ."], "output": "['DVD', ['removed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple removed the DVD drive Firewire port ( will work with adapter ) and put the SDXC slot in a silly position on the back ."], "output": "['SDXC', ['silly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The durability of the laptop will make it worth the money ."], "output": "['durability', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Well designed and fast ."], "output": "['designed', ['Well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But I was completely wrong , this computer is UNBELIEVABLE amazing and easy to use ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Exactly as posted plus a great value ."], "output": "['value', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The specs are pretty good too ."], "output": "['specs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple is unmatched in product quality , aesthetics , craftmanship , and customer service ."], "output": "['product', ['unmatched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple is unmatched in product quality , aesthetics , craftmanship , and customer service ."], "output": "['aesthetics', ['unmatched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple is unmatched in product quality , aesthetics , craftmanship , and customer service ."], "output": "['craftmanship', ['unmatched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple is unmatched in product quality , aesthetics , craftmanship , and customer service ."], "output": "['customer', ['unmatched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is a great size and amazing windows 8 included !"], "output": "['size', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is a great size and amazing windows 8 included !"], "output": "['windows', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I do not like too much Windows 8 ."], "output": "['Windows', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Startup times are incredibly long : over two minutes ."], "output": "['Startup', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also stunning colors and speedy"], "output": "['colors', ['stunning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great price free shipping what else can i ask for ! !"], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great price free shipping what else can i ask for ! !"], "output": "['shipping', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This mouse is terrific ."], "output": "['mouse', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is really thick around the battery ."], "output": "['battery', ['thick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And windows 7 works like a charm ."], "output": "['windows', ['charm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": [": ) Great product , great price , great delivery , and great service ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": [": ) Great product , great price , great delivery , and great service ."], "output": "['delivery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": [": ) Great product , great price , great delivery , and great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": [": ] It arrived so fast and customer service was great ."], "output": "['customer', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["tried windows 8 and hated it ! ! !"], "output": "['windows', ['hated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The price is higher than most lab top out there ; however , he/she will get what they paid for , which is a great computer ."], "output": "['price', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Set up was a breeze ."], "output": "['Set', ['breeze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But I do NOT like Win8 ."], "output": "['Win8', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had the same reasons as most PC users : the price , the overbearing restrictions of OSX and lack of support for games ."], "output": "['OSX', ['overbearing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had the same reasons as most PC users : the price , the overbearing restrictions of OSX and lack of support for games ."], "output": "['support', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I wanted it for it 's mobility and man , this little bad boy is very nice ."], "output": "['mobility', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The investment of a new MacBook Pro came at a price , but totally worth it for a good piece of mind ."], "output": "['price', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I found the mini to be : Exceptionally easy to set up"], "output": "['set', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sound is nice and loud ; I do n't have any problems with hearing anything ."], "output": "['sound', ['nice', 'loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is very slim , the track pad is very much impressed with me ."], "output": "['track', ['slim', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The settings are not user-friendly either ."], "output": "['settings', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Thank goodness for OpenOffice !"], "output": "['OpenOffice', ['goodness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Awesome form factor , great battery life , wonderful UX ."], "output": "['form', ['Awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Awesome form factor , great battery life , wonderful UX ."], "output": "['battery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Awesome form factor , great battery life , wonderful UX ."], "output": "['UX', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i love the keyboard and the screen ."], "output": "['keyboard', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i love the keyboard and the screen ."], "output": "['screen', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , there are MAJOR issues with the touchpad which render the device nearly useless ."], "output": "['touchpad', ['issues', 'useless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've already upgraded o Mavericks and I am impressed with everything about this computer ."], "output": "['Mavericks', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not as fast as I would have expect for an i5 ."], "output": "['i5', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["thanks for great service and shipping !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["thanks for great service and shipping !"], "output": "['shipping', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The performance seems quite good , and built-in applications like iPhoto work great with my phone and camera ."], "output": "['performance', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The performance seems quite good , and built-in applications like iPhoto work great with my phone and camera ."], "output": "['built-in', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The performance seems quite good , and built-in applications like iPhoto work great with my phone and camera ."], "output": "['iPhoto', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I did swap out the hard drive for a Samsung 830 SSD which I highly recommend ."], "output": "['Samsung', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Yes , that 's a good thing , but it 's made from aluminum that scratches easily ."], "output": "['aluminum', ['scratches']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was also informed that the components of the Mac Book were dirty ."], "output": "['components', ['dirty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the hardware problems have been so bad , i ca n't wait till it completely dies in 3 years , TOPS !"], "output": "['hardware', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's so nice that the battery last so long and that this machine has the snow lion !"], "output": "['battery', ['nice', 'long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it 's exactly what i wanted , and it has all the new features and whatnot ."], "output": "['features', ['wanted', 'new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It feels cheap , the keyboard is not very sensitive ."], "output": "['keyboard', ['cheap', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Though please note that sometimes it crashes , and the sound quality isnt superb ."], "output": "['sound', ['isnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is very easy to navigate even for a novice ."], "output": "['navigate', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Does everything I need it to , has a wonderful battery life and I could n't be happier ."], "output": "['battery', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Performance and Quality ."], "output": "['Performance', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Performance and Quality ."], "output": "['Quality', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["One more thing , this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC 's , also the charging cables are made of the same cheap material as the iPhone/iPod touch cables ."], "output": "['material', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The new os is great on my macbook pro !"], "output": "['os', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had a little problem adjusting to the small screen but works fine as long as I remember to carry my glasses ."], "output": "['screen', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have experienced no problems , works as anticipated ."], "output": "['works', ['as']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["System is running great ."], "output": "['System', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Easy to customize setting and even create your own bookmarks ."], "output": "['customize', ['Easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Easy to customize setting and even create your own bookmarks ."], "output": "['create', ['Easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it has all the features that we expected and the price was good , working well so far ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it has all the features that we expected and the price was good , working well so far ."], "output": "['working', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The new operating system makes this computer into a super iPad ."], "output": "['operating', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Easy to set up and go !"], "output": "['set', ['Easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I ca n't believe how quiet the hard drive is and how quick this thing boots up ."], "output": "['hard', ['quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I ca n't believe how quiet the hard drive is and how quick this thing boots up ."], "output": "['boots', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's just what we were looking for and it works great ."], "output": "['works', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's so quick and responsive that it makes working / surfing on a computer so much more pleasurable !"], "output": "['working', ['pleasurable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's so quick and responsive that it makes working / surfing on a computer so much more pleasurable !"], "output": "['surfing', ['pleasurable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It works fine , and all the software seems to run pretty well ."], "output": "['works', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It works fine , and all the software seems to run pretty well ."], "output": "['software', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I wanted a computer that was quite , fast , and that had overall great performance ."], "output": "['performance', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Harddrive was in poor condition , had to replace it ."], "output": "['Harddrive', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The on/off switch is a bit obscure in the rear corner ."], "output": "['on/off', ['obscure']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My only complaint is the total lack of instructions that come with the mac mini ."], "output": "['instructions', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only task that this computer would not be good enough for would be gaming , otherwise the integrated Intel 4000 graphics work well for other tasks ."], "output": "['gaming', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only task that this computer would not be good enough for would be gaming , otherwise the integrated Intel 4000 graphics work well for other tasks ."], "output": "['integrated', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'm hoping the rest of the features will be the signature quality of apple ."], "output": "['features', ['signature']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I use it mostly for content creation ( Audio , video , photo editing ) and its reliable ."], "output": "['Audio', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I use it mostly for content creation ( Audio , video , photo editing ) and its reliable ."], "output": "['video', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I use it mostly for content creation ( Audio , video , photo editing ) and its reliable ."], "output": "['photo', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Screen is bright and gorgeous ."], "output": "['Screen', ['bright', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is robust , with a friendly use as all Apple products ."], "output": "['use', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is fast and easy to use ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And the fact that it comes with an i5 processor definitely speeds things up"], "output": "['i5', ['speeds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have been PC for years but this computer is intuitive and its built in features are a great help"], "output": "['built', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice screen , keyboard works great !"], "output": "['screen', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice screen , keyboard works great !"], "output": "['keyboard', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was amazed at how fast the delivery was ."], "output": "['delivery', ['amazed', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The memory was gone and it was not able to be used ."], "output": "['memory', ['gone', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It works great and I am so happy I bought it ."], "output": "['works', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the design and ease of use with the keyboard , plenty of ports ."], "output": "['design', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the design and ease of use with the keyboard , plenty of ports ."], "output": "['keyboard', ['like', 'ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the design and ease of use with the keyboard , plenty of ports ."], "output": "['ports', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it definitely beats my old mac and the service was great ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Web browsing is very quick with Safari browser ."], "output": "['Web', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Web browsing is very quick with Safari browser ."], "output": "['Safari', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the lighted screen at night ."], "output": "['lighted', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is really easy to use and it is quick to start up ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is really easy to use and it is quick to start up ."], "output": "['start', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've lived with the crashes and slow operation and restarts ."], "output": "['operation', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["USB3 Peripherals are noticably less expensive than the ThunderBolt ones ."], "output": "['USB3', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's fast , light , and is perfect for media editing , which is mostly why I bought it in the first place ."], "output": "['media', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery lasts as advertised ( give or take 15-20 minutes ) , and the entire user experience is very elegant ."], "output": "['user', ['elegant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Thanks for the fast shipment and great price ."], "output": "['shipment', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Thanks for the fast shipment and great price ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["! Excellent performance , usability , presentation and time response ."], "output": "['performance', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["! Excellent performance , usability , presentation and time response ."], "output": "['usability', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["! Excellent performance , usability , presentation and time response ."], "output": "['presentation', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["! Excellent performance , usability , presentation and time response ."], "output": "['time', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The smaller size was a bonus because of space restrictions ."], "output": "['size', ['smaller', 'bonus']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I blame the Mac OS ."], "output": "['Mac', ['blame']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the operating system ."], "output": "['operating', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the form factor ."], "output": "['form', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's fast at loading the internet ."], "output": "['loading', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["So much faster and sleeker looking ."], "output": "['looking', ['faster', 'sleeker']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Unfortunately , it runs XP and Microsoft is dropping support next April ."], "output": "['XP', ['Unfortunately']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Unfortunately , it runs XP and Microsoft is dropping support next April ."], "output": "['support', ['Unfortunately', 'dropping']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["First off , I really do like my MBP ... once used to the OS it is pretty easy to get around , and the overall build is great ... eg the keyboard is one of the best to type on ."], "output": "['OS', ['like', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["First off , I really do like my MBP ... once used to the OS it is pretty easy to get around , and the overall build is great ... eg the keyboard is one of the best to type on ."], "output": "['overall', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["First off , I really do like my MBP ... once used to the OS it is pretty easy to get around , and the overall build is great ... eg the keyboard is one of the best to type on ."], "output": "['keyboard', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is made of such solid construction and since I have never had a Mac using my iPhone helped me get used to the system a bit ."], "output": "['construction', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very nice unibody construction ."], "output": "['unibody', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This Macbook Pro is fast , powerful , and runs super quiet and cool ."], "output": "['runs', ['quiet', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's ok but does n't have a disk drive which I did n't know until after I bought it ."], "output": "['disk', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There is no HDMI receptacle , nor is there an SD card slot located anywhere on the device ."], "output": "['HDMI', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There is no HDMI receptacle , nor is there an SD card slot located anywhere on the device ."], "output": "['SD', ['nor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It came in brand new and works perfectly ."], "output": "['works', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It should n't happen like that , I do n't have any design app open or anything ."], "output": "['design', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["MY TRACKPAD IS NOT WORKING ."], "output": "['TRACKPAD', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It looks and feels solid , with a flawless finish ."], "output": "['finish', ['flawless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It looks and feels solid , with a flawless finish ."], "output": "['looks', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It looks and feels solid , with a flawless finish ."], "output": "['feels', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Price was higher when purchased on MAC when compared to price showing on PC when I bought this product ."], "output": "['Price', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Then the system would many times not power down without a forced power-off ."], "output": "['system', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Then the system would many times not power down without a forced power-off ."], "output": "['power', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The configuration is perfect for my needs ."], "output": "['configuration', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["and the speakers is the worst ever ."], "output": "['speakers', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its the best , its got the looks , super easy to use and love all you can do with the trackpad ! .."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its the best , its got the looks , super easy to use and love all you can do with the trackpad ! .."], "output": "['trackpad', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Web surfuring is smooth and seamless ."], "output": "['Web', ['smooth', 'seamless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'm overall pleased with the interface and the portability of this product ."], "output": "['interface', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'm overall pleased with the interface and the portability of this product ."], "output": "['portability', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This item is a beautiful piece , it works well , it is easy to carry and handle ."], "output": "['works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This item is a beautiful piece , it works well , it is easy to carry and handle ."], "output": "['carry', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This item is a beautiful piece , it works well , it is easy to carry and handle ."], "output": "['handle', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was also suffering from hardware ( keyboard ) issues , relatively slow performance and shortening battery lifetime ."], "output": "['performance', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was also suffering from hardware ( keyboard ) issues , relatively slow performance and shortening battery lifetime ."], "output": "['battery', ['shortening']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was also suffering from hardware ( keyboard ) issues , relatively slow performance and shortening battery lifetime ."], "output": "['hardware', ['suffering', 'issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Runs good and does the job , ca n't complain about that !"], "output": "['Runs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's silent and has a very small footprint on my desk ."], "output": "['footprint', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The exterior is absolutely gorgeous ."], "output": "['exterior', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has a very high performance , just for what I needed for ."], "output": "['performance', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple is aware of this issue and this is either old stock or a defective design involving the intel 4000 graphics chipset ."], "output": "['intel', ['defective']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple is aware of this issue and this is either old stock or a defective design involving the intel 4000 graphics chipset ."], "output": "['design', ['defective']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I just bought the new MacBook Pro , the 13 '' model , and I ca n't believe Apple keeps making the same mistake with regard to USB ports ."], "output": "['USB', ['mistake']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is the perfect size and speed for me ."], "output": "['size', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is the perfect size and speed for me ."], "output": "['speed', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE CUSTOMER SERVICE IS TERRIFIC ! !"], "output": "['CUSTOMER', ['TERRIFIC']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My last laptop was a 17 '' ASUS gaming machine , which performed admirably , but having since built my own desktop and really settling into the college life , I found myself wanting something smaller and less cumbersome , not to mention that the ASUS had been slowly developing problems ever since I bought it about 4 years ago ."], "output": "['performed', ['admirably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , it did not have any scratches , ZERO battery cycle count ( pretty surprised ) , and all the hardware seemed to be working perfectly ."], "output": "['battery', ['ZERO', 'surprised']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , it did not have any scratches , ZERO battery cycle count ( pretty surprised ) , and all the hardware seemed to be working perfectly ."], "output": "['hardware', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And as for all the fancy finger swipes -- I just gave up and attached a mouse ."], "output": "['finger', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I needed a laptop with big storage , a nice screen and fast so I can photoshop without any problem ."], "output": "['storage', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I needed a laptop with big storage , a nice screen and fast so I can photoshop without any problem ."], "output": "['screen', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $ 400 old HP laptop ."], "output": "['Mac', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like coming back to Mac OS but this laptop is lacking in speaker quality compared to my $ 400 old HP laptop ."], "output": "['speaker', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Shipped very quickly and safely ."], "output": "['Shipped', ['quickly', 'safely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The thunderbolt port is awesome !"], "output": "['thunderbolt', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The performance is definitely superior to any computer I 've ever put my hands on ."], "output": "['performance', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's great for streaming video and other entertainment uses ."], "output": "['streaming', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's great for streaming video and other entertainment uses ."], "output": "['entertainment', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the design and its features but there are somethings I think needs to be improved ."], "output": "['design', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the design and its features but there are somethings I think needs to be improved ."], "output": "['features', ['needs']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There were small problems with Mac office ."], "output": "['Mac', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I ordered my 2012 mac mini after being disappointed with spec of the new 27 '' Imacs ."], "output": "['spec', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its fast , easy to use and it looks great ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its fast , easy to use and it looks great ."], "output": "['looks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Performance is much much better on the Pro , especially if you install an SSD on it ."], "output": "['Performance', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Performance is much much better on the Pro , especially if you install an SSD on it ."], "output": "['SSD', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Note , however , that any existing MagSafe accessories you have will not work with the MagSafe 2 connection ."], "output": "['MagSafe', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Note , however , that any existing MagSafe accessories you have will not work with the MagSafe 2 connection ."], "output": "['MagSafe', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing I dislike is the touchpad , alot of the times its unresponsive and does things I dont want it too , I would recommend using a mouse with it ."], "output": "['touchpad', ['dislike', 'unresponsive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing I dislike is the touchpad , alot of the times its unresponsive and does things I dont want it too , I would recommend using a mouse with it ."], "output": "['mouse', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus and runs very quiet , actually the fans are n't audible unlike my old pc"], "output": "['runs', ['quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Mac mini is about 8x smaller than my old computer which is a huge bonus and runs very quiet , actually the fans are n't audible unlike my old pc"], "output": "['fans', ['are']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I thought the transition would be difficult at best and would take some time to fully familiarize myself with the new Mac ecosystem ."], "output": "['Mac', ['take']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's absolutely wonderful and worth the price !"], "output": "['price', ['wonderful', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am please with the products ease of use ; out of the box ready ; appearance and functionality ."], "output": "['use', ['please', 'ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am please with the products ease of use ; out of the box ready ; appearance and functionality ."], "output": "['appearance', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am please with the products ease of use ; out of the box ready ; appearance and functionality ."], "output": "['functionality', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Perfect for all my graphic design classes I 'm taking this year in college : - )"], "output": "['graphic', ['Perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I will not be using that slot again ."], "output": "['slot', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The OS is fast and fluid , everything is organized and it 's just beautiful ."], "output": "['OS', ['fast', 'fluid', 'organized', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They are simpler to use ."], "output": "['use', ['simpler']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["! so nice .. stable .. fast .. now i got my SSD !"], "output": "['SSD', ['nice', 'stable', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the quick start up ."], "output": "['start', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You just can not beat the functionality of an Apple device ."], "output": "['functionality', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Yet my mac continues to function properly ."], "output": "['function', ['properly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Graphics are much improved ."], "output": "['Graphics', ['improved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Here are the things that made me confident with my purchase : Build Quality - Seriously , you ca n't beat a unibody construction ."], "output": "['Build', ['confident']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Here are the things that made me confident with my purchase : Build Quality - Seriously , you ca n't beat a unibody construction ."], "output": "['unibody', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It provides much more flexibility for connectivity ."], "output": "['flexibility', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Mac tutorials do help ."], "output": "['Mac', ['help']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The technical support was not helpful as well ."], "output": "['technical', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I got the new adapter and there was no change ."], "output": "['adapter', ['new', 'no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Logic board utterly fried , cried , and laid down and died ."], "output": "['Logic', ['utterly', 'cried', 'laid', 'died']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sound was crappy even when you turn up the volume still the same results ."], "output": "['sound', ['crappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sound was crappy even when you turn up the volume still the same results ."], "output": "['volume', ['crappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["OSX Lion is a great performer..extremely fast and reliable ."], "output": "['OSX', ['great', 'fast', 'reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Having heard from friends and family about how reliable a Mac product is , I never expected to have an application crash within the first month , but I did ."], "output": "['application', ['crash']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Macbook pro 's physical form is wonderful ."], "output": "['physical', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Mini 's body has n't changed since late 2010- and for a good reason ."], "output": "['body', ['has', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The unibody construction really does feel lot more solid than Apple 's previous laptops ."], "output": "['unibody', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["3D rendering slows it down considerably ."], "output": "['3D', ['slows']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["fast , great screen , beautiful apps for a laptop ; priced at 1100 on the apple website ; amazon had it for 1098+ tax - plus i had a 10 % off coupon from amazon-cost me 998 plus tax- 1070- OTD !"], "output": "['screen', ['fast', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["fast , great screen , beautiful apps for a laptop ; priced at 1100 on the apple website ; amazon had it for 1098+ tax - plus i had a 10 % off coupon from amazon-cost me 998 plus tax- 1070- OTD !"], "output": "['apps', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All the ports are much needed since this is my main computer ."], "output": "['ports', ['much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Like New condition of the iMac MC309LL/A on Amazon is at $ 900+ level only , and it is a Quad-Core 2.5 GHz CPU ( similar to the $ 799 Mini ) , with Radeon HD 6750M 512MB graphic card ( this mini is integrated Intel 4000 card ) , and it even comes with wireless Apple Keyboard and Mouse , all put together in neat and nice package ."], "output": "['package', ['neat', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Put a cover on it and is a little better but that is my only complaint ."], "output": "['cover', ['a', 'complaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Within a few hours I was using the gestures unconsciously ."], "output": "['gestures', ['unconsciously']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This mac does come with an extender cable and I 'm using mine right now hoping the cable will stay nice for the many years I plan on using this mac ."], "output": "['cable', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The 2.9ghz dual-core i7 chip really out does itself ."], "output": "['2.9ghz', ['really']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is pretty snappy and starts up in about 30 seconds which is good enough for me ."], "output": "['starts', ['snappy', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["So noise is reduced at least 50 % and the heat is much better , now it does n't feel hot but warm ."], "output": "['heat', ['better', 'does', 'warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["So noise is reduced at least 50 % and the heat is much better , now it does n't feel hot but warm ."], "output": "['noise', ['reduced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not sure on Windows 8 ."], "output": "['Windows', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My one complaint is that there was no internal CD drive ."], "output": "['internal', ['complaint', 'no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This newer netbook has no hard drive or network lights ."], "output": "['hard', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This newer netbook has no hard drive or network lights ."], "output": "['network', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not too expense and has enough storage for most users and many ports ."], "output": "['storage', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not too expense and has enough storage for most users and many ports ."], "output": "['ports', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The audio volume is quite low and virtually unusable in a room with any background activity ."], "output": "['audio', ['low', 'unusable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is lightweight and the perfect size to carry to class ."], "output": "['size', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The MBP is beautiful has many wonderful capabilities ."], "output": "['capabilities', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I thought that it will be fine , if i do some settings ."], "output": "['settings', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Runs very smoothly ."], "output": "['Runs', ['smoothly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Boot-up slowed significantly after all Windows updates were installed ."], "output": "['Boot-up', ['slowed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Boot-up slowed significantly after all Windows updates were installed ."], "output": "['Windows', ['slowed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet , word processing , graphic design and gaming ."], "output": "['internet', ['powerful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet , word processing , graphic design and gaming ."], "output": "['word', ['powerful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet , word processing , graphic design and gaming ."], "output": "['graphic', ['powerful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was important that it was powerful enough to do all of the tasks he needed on the internet , word processing , graphic design and gaming ."], "output": "['gaming', ['powerful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the Mini Mac it was easy to setup and install , but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu ."], "output": "['setup', ['like', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the Mini Mac it was easy to setup and install , but I am learning as I go and could use a tutorial to learn how to use some of the features I was use to on the PC especially the right mouse click menu ."], "output": "['install', ['like', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Runs real quick ."], "output": "['Runs', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Since the machine 's slim profile is critical to me , that was a problem ."], "output": "['profile', ['slim', 'critical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["WiFi capability , disk drive and multiple USB ports to connect scale and printers was all that was required ."], "output": "['disk', ['required']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["WiFi capability , disk drive and multiple USB ports to connect scale and printers was all that was required ."], "output": "['USB', ['required']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["WiFi capability , disk drive and multiple USB ports to connect scale and printers was all that was required ."], "output": "['WiFi', ['required']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The SD card reader is slightly recessed and upside down ( the nail slot on the card can not be accessed ) , if this was a self ejecting slot this would not be an issue , but its not ."], "output": "['SD', ['recessed', 'upside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The SD card reader is slightly recessed and upside down ( the nail slot on the card can not be accessed ) , if this was a self ejecting slot this would not be an issue , but its not ."], "output": "['nail', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The SD card reader is slightly recessed and upside down ( the nail slot on the card can not be accessed ) , if this was a self ejecting slot this would not be an issue , but its not ."], "output": "['slot', ['issue']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Soft touch , anodized aluminum with laser cut precision and no flaws ."], "output": "['touch', ['Soft']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Soft touch , anodized aluminum with laser cut precision and no flaws ."], "output": "['anodized', ['precision', 'no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Simple details , crafted aluminium and real glass make this laptop blow away the other plastic ridden , bulky sticker filled laptops ."], "output": "['aluminium', ['crafted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Simple details , crafted aluminium and real glass make this laptop blow away the other plastic ridden , bulky sticker filled laptops ."], "output": "['glass', ['blow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["First of all yes this is a mac and it has that nice brushed aluminum ."], "output": "['aluminum', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No HDMI port ."], "output": "['HDMI', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Customization on mac is impossible ."], "output": "['Customization', ['impossible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly intuitive ."], "output": "['two', ['surprisingly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Plus two finger clicking as a replacement for the right click button is surprisingly intuitive ."], "output": "['right', ['intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The SuperDrive is quiet ."], "output": "['SuperDrive', ['quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery was completely dead , in fact it had grown about a quarter inch thick lump on the underside ."], "output": "['battery', ['dead']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["if yo like practicality this is the laptop for you ."], "output": "['practicality', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The OS is great ."], "output": "['OS', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["CONS : Price is a bit ridiculous , kinda heavy ."], "output": "['Price', ['ridiculous', 'heavy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Which it did not have , only 3 USB 2 ports ."], "output": "['USB', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No startup disk was not included but that may be my fault ."], "output": "['startup', ['No', 'not', 'fault']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There is no `` tools '' menu ."], "output": "['``', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is very fast and has everything that I need except for a word program ."], "output": "['word', ['except']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Needs a CD/DVD drive and a bigger power switch ."], "output": "['power', ['bigger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My laptop with Windows 7 crashed and I did not want Windows 8 ."], "output": "['Windows', ['crashed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My laptop with Windows 7 crashed and I did not want Windows 8 ."], "output": "['Windows', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Easy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi ."], "output": "['install', ['Easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Easy to install also small to leave anywhere at your bedroom also very easy to configure for ADSl cable or wifi ."], "output": "['configure', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The speakers could have been better but it was n't a deal breaker ... this is a great little laptop ... love it !"], "output": "['speakers', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice packing ."], "output": "['packing', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I switched to this because I wanted something different , even though I miss windows ."], "output": "['windows', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Apple no longer includes iDVD with the computer and furthermore , Apple does n't even offer it anymore !"], "output": "['iDVD', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I also wanted Windows 7 , which this one has ."], "output": "['Windows', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["At first , I feel a little bit uncomfortable in using the Mac system ."], "output": "['Mac', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It just works out of the box and you have a lot of cool software included with the OS ."], "output": "['works', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It just works out of the box and you have a lot of cool software included with the OS ."], "output": "['software', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It just works out of the box and you have a lot of cool software included with the OS ."], "output": "['OS', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["its as advertised on here ... .. it works great and is not a waste of money !"], "output": "['works', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Premium price for the OS more than anything else ."], "output": "['price', ['Premium']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Premium price for the OS more than anything else ."], "output": "['OS', ['Premium']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was a little concerned about the touch pad based on reviews , but I 've found it fine to work with ."], "output": "['touch', ['concerned', 'fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I bought this Mac book pro along with a new 27 '' iMac and while they are still light years more reliable than a PC I have noticed a decline in the reliability of my Mac computers ."], "output": "['reliability', ['decline']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sound as mentioned earlier is n't the best , but it can be solved with headphones ."], "output": "['sound', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The track pad is a bit squirrely at times- sometimes too sensitive , and sometimes a bit unresponsive , but it 's usable ."], "output": "['track', ['squirrely', 'sensitive', 'unresponsive', 'usable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , the experience was great since the OS does not become unstable and the application will simply shutdown and reopen ."], "output": "['OS', ['great', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery is not as shown in the product photos ."], "output": "['battery', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Shipping was quick and product described was the product sent and so much more ..."], "output": "['Shipping', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the retina display display make pictures i took years ago jaw dropping ."], "output": "['retina', ['dropping']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Mac Mini is probably the simplest example of compact computing out there ."], "output": "['compact', ['simplest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Additionally , there is barely a ventilation system in the computer , and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot , and in fact impossible to keep on lap ."], "output": "['ventilation', ['barely', 'hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Additionally , there is barely a ventilation system in the computer , and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot , and in fact impossible to keep on lap ."], "output": "['watching', ['simple', 'hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Additionally , there is barely a ventilation system in the computer , and even the simple activity of watching videos let alone playing steam games causes the laptop to get very very hot , and in fact impossible to keep on lap ."], "output": "['playing', ['hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Chatting with Acer support , I was advised the problem was corrupted operating system files ."], "output": "['operating', ['corrupted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's been a couple weeks since the purchase and I 'm struggle with finding the correct keys ( but that was expected ) ."], "output": "['keys', ['struggle']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Many people complain about the new OS , and it 's urgent for Apple to fix it asap !"], "output": "['OS', ['complain']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Now that I have upgraded to Lion I am much happier about MAC OS and have just bought an iMac for office ."], "output": "['Lion', ['upgraded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Now that I have upgraded to Lion I am much happier about MAC OS and have just bought an iMac for office ."], "output": "['MAC', ['happier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["User upgradeable RAM and HDD ."], "output": "['RAM', ['upgradeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["User upgradeable RAM and HDD ."], "output": "['HDD', ['upgradeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But I wanted the Pro for the CD/DVD player ."], "output": "['CD/DVD', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The RAM memory is good but should have splurged for 8Mb instead of 4Mb ."], "output": "['RAM', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was a little worry at first because I do n't have a lot of experience with os.x and windows has always been second nature to me after many years of using windows ."], "output": "['os.x', ['worry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["With the softwares supporting the use of other OS makes it much better ."], "output": "['OS', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["With the softwares supporting the use of other OS makes it much better ."], "output": "['softwares', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I then upgraded to Mac OS X 10.8 `` Mountain Lion '' ."], "output": "['Mac', ['upgraded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was considering buying the Air , but in reality , this one has a more powerful performance and seems much more convenient , even though it 's about .20 inch thicker and 2 lbs heavier ."], "output": "['performance', ['powerful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["At home and the office it gets plugged into an external 24 '' LCD screen , so built in screen size is not terribly important ."], "output": "['built', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Just beware no DVD slot so when I went to install software I had on CD I could n't ."], "output": "['DVD', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No Cd Rom in the new version there 's no way I 'm spending that kind of money on something has less features than the older version ."], "output": "['Cd', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No Cd Rom in the new version there 's no way I 'm spending that kind of money on something has less features than the older version ."], "output": "['features', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the volume is really low to low for a laptopwas not expectin t volume to be so lowan i hate that about this computer"], "output": "['volume', ['low', 'hate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the volume is really low to low for a laptopwas not expectin t volume to be so lowan i hate that about this computer"], "output": "['volume', ['low', 'hate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["and its not hard to accidentally bang it against something so i recommend getting a case to protect it ."], "output": "['case', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I got this at an amazing price from Amazon and it arrived just in time ."], "output": "['price', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Every time I log into the system after a few hours , there is this endlessly frustrating process that I have to go through ."], "output": "['log', ['frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Put a SSD and use a 21 '' LED screen , this set up is silky smooth !"], "output": "['set', ['silky']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The case is now slightly larger than the previous generation , but the lack of an external power supply justifies the small increase in size ."], "output": "['case', ['larger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The case is now slightly larger than the previous generation , but the lack of an external power supply justifies the small increase in size ."], "output": "['size', ['increase']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The case is now slightly larger than the previous generation , but the lack of an external power supply justifies the small increase in size ."], "output": "['external', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had to buy a wireless mouse to go with it , as I am old school and hate the pad , but knew that before I bought it , now it works great , need to get adjusted to the key board , as I am used to a bigger one and pounding ."], "output": "['pad', ['hate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had to buy a wireless mouse to go with it , as I am old school and hate the pad , but knew that before I bought it , now it works great , need to get adjusted to the key board , as I am used to a bigger one and pounding ."], "output": "['works', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Has all the other features I wanted including a VGA port , HDMI , ethernet and 3 USB ports ."], "output": "['features', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Has all the other features I wanted including a VGA port , HDMI , ethernet and 3 USB ports ."], "output": "['VGA', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Has all the other features I wanted including a VGA port , HDMI , ethernet and 3 USB ports ."], "output": "['HDMI', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Has all the other features I wanted including a VGA port , HDMI , ethernet and 3 USB ports ."], "output": "['ethernet', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Has all the other features I wanted including a VGA port , HDMI , ethernet and 3 USB ports ."], "output": "['USB', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing I dislike about this laptop are the rubber pads found on the bottom of the computer for grip ."], "output": "['rubber', ['dislike']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a decent computer for the price and hopefully it will last a long time ."], "output": "['price', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was really happy because it is a much better price on amazon.com than it was in the Mac store ."], "output": "['price', ['happy', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The nicest part is the low heat output and ultra quiet operation ."], "output": "['heat', ['nicest', 'low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The nicest part is the low heat output and ultra quiet operation ."], "output": "['operation', ['nicest', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["this Mac Mini does not have a built-in mic , and it would seem that its Mac OS 10.9 does not handle external microphones properly ."], "output": "['built-in', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["this Mac Mini does not have a built-in mic , and it would seem that its Mac OS 10.9 does not handle external microphones properly ."], "output": "['Mac', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A lot of features and shortcuts on the MBP that I was never exposed to on a normal PC ."], "output": "['features', ['lot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A lot of features and shortcuts on the MBP that I was never exposed to on a normal PC ."], "output": "['shortcuts', ['lot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Was n't sure if I was going to like it much less love it so I went to a local best buy and played around with the IOS system on a Mac Pro and it was totally unique and different ."], "output": "['IOS', ['unique', 'different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["air has higher resolution but the fonts are small ."], "output": "['resolution', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["air has higher resolution but the fonts are small ."], "output": "['fonts', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["working with Mac is so much easier , so many cool features ."], "output": "['working', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["working with Mac is so much easier , so many cool features ."], "output": "['features', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the brightness and adjustments ."], "output": "['brightness', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like the brightness and adjustments ."], "output": "['adjustments', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I only wish this mac had a CD/DVD player built in ."], "output": "['CD/DVD', ['wish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing I miss is that my old Alienware laptop had backlit keys ."], "output": "['backlit', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing I miss are the `` Home/End '' type keys and other things that I grew accustomed to after so long ."], "output": "['``', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["So happy with this purchase , I just wish it came with Microsoft Word ."], "output": "['Microsoft', ['wish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop ."], "output": "['memory', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has enough memory and speed to run my business with all the flexibility that comes with a laptop ."], "output": "['speed', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery life is excellent , the display is excellent , and downloading apps is a breeze ."], "output": "['battery', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery life is excellent , the display is excellent , and downloading apps is a breeze ."], "output": "['display', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The battery life is excellent , the display is excellent , and downloading apps is a breeze ."], "output": "['downloading', ['breeze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The screen , the software and the smoothness of the operating system ."], "output": "['operating', ['smoothness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But with this laptop , the bass is very weak and the sound comes out sounding tinny ."], "output": "['bass', ['weak']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But with this laptop , the bass is very weak and the sound comes out sounding tinny ."], "output": "['sound', ['tinny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The built quality is really good , I was so Happy and excited about this Product ."], "output": "['built', ['good', 'Happy', 'excited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am loving the fast performance also ."], "output": "['performance', ['loving', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Further , this Mac Mini has a sloppy Bluetooth interface ( courtesy of the Mac OS ) and the range is poor ."], "output": "['Bluetooth', ['sloppy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Further , this Mac Mini has a sloppy Bluetooth interface ( courtesy of the Mac OS ) and the range is poor ."], "output": "['Mac', ['courtesy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Further , this Mac Mini has a sloppy Bluetooth interface ( courtesy of the Mac OS ) and the range is poor ."], "output": "['range', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My only gripe would be the need to add more RAM ."], "output": "['RAM', ['gripe']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fine if you have a touch screen ."], "output": "['touch', ['Fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This by far beats any computer out on the market today built well , battery life AMAZING ."], "output": "['built', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This by far beats any computer out on the market today built well , battery life AMAZING ."], "output": "['battery', ['AMAZING']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The OS is easy , and offers all kinds of surprises ."], "output": "['OS', ['easy', 'surprises']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A veryimportant feature is Firewire 800 which in my experience works better then USB3 ( in PC enabled with USB3 ) I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7 ."], "output": "['Firewire', ['veryimportant', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A veryimportant feature is Firewire 800 which in my experience works better then USB3 ( in PC enabled with USB3 ) I was not originally sold on the MAC OS I felt it was inferior in many ways To Windows 7 ."], "output": "['MAC', ['inferior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like iTunes , the apparent security , the Mini form factor , all the nice graphics stuff ."], "output": "['iTunes', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like iTunes , the apparent security , the Mini form factor , all the nice graphics stuff ."], "output": "['security', ['apparent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I like iTunes , the apparent security , the Mini form factor , all the nice graphics stuff ."], "output": "['graphics', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["After replacing the spinning hard disk with an ssd drive , my mac is just flying ."], "output": "['ssd', ['flying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I know some people complained about HDMI issues but they released a firmware patch to address that issue ."], "output": "['HDMI', ['complained']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["With the needs of a professional photographer I generally need to keep up with the best specs ."], "output": "['specs', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["packing and everything was perfect"], "output": "['packing', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I called Toshiba where I gave them the serial number and they informed me that they were having issues with the mother boards ."], "output": "['mother', ['issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as faulty , related to the graphics card ."], "output": "['Mother', ['faulty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I seem to be having repeat problems as the Mother Board in this one is diagnosed as faulty , related to the graphics card ."], "output": "['graphics', ['faulty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It also comes with 4G of RAM but if you 're like me you want to max that out so I immediately put 8G of RAM in her and I 've never used a computer that performs better ."], "output": "['performs', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This computer is also awesome for my sons virtual home schooling ."], "output": "['virtual', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Cost is more as compared to other brands ."], "output": "['Cost', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["also ... - excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": "['operating', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["also ... - excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": "['size', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["also ... - excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": "['weight', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["also ... - excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": "['mobility', ['optimal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["also ... - excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": "['durability', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["also ... - excellent operating system -- size and weight for optimal mobility -- excellent durability of the battery -- the functions provided by the trackpad is unmatched by any other brand-"], "output": "['functions', ['unmatched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This hardware seems to be better than the iMac in that it is n't $ 1400 and smaller ."], "output": "['hardware', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had it for about 2 months now and found no issues with software or updates ."], "output": "['software', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had it for about 2 months now and found no issues with software or updates ."], "output": "['updates', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the latest version does not have a disc drive ."], "output": "['disc', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Screen - although some people might complain about low res which I think is ridiculous ."], "output": "['Screen', ['complain', 'ridiculous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Screen - although some people might complain about low res which I think is ridiculous ."], "output": "['res', ['low', 'ridiculous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bread is top notch as well ."], "output": "['bread', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have to say they have one of the fastest delivery times in the city ."], "output": "['delivery', ['fastest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is always fresh and hot ready to eat !"], "output": "['Food', ['fresh', 'hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Did I mention that the coffee is OUTSTANDING ?"], "output": "['coffee', ['OUTSTANDING']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Certainly not the best sushi in New York , however , it is always fresh , and the place is very clean , sterile ."], "output": "['sushi', ['not', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Certainly not the best sushi in New York , however , it is always fresh , and the place is very clean , sterile ."], "output": "['place', ['clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I trust the people at Go Sushi , it never disappoints ."], "output": "['people', ['trust']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Straight-forward , no surprises , very decent Japanese food ."], "output": "['Japanese', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["BEST spicy tuna roll , great asian salad ."], "output": "['asian', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["BEST spicy tuna roll , great asian salad ."], "output": "['spicy', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the rose roll ( not on menu ) ."], "output": "['rose', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the drinks , esp lychee martini , and the food is also VERY good ."], "output": "['drinks', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the drinks , esp lychee martini , and the food is also VERY good ."], "output": "['lychee', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the drinks , esp lychee martini , and the food is also VERY good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While there 's a decent menu , it should n't take ten minutes to get your drinks and 45 for a dessert pizza ."], "output": "['menu', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Once we sailed , the top-notch food and live entertainment sold us on a unforgettable evening ."], "output": "['food', ['top-notch']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Once we sailed , the top-notch food and live entertainment sold us on a unforgettable evening ."], "output": "['live', ['top-notch']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waiter was horrible ; so rude and disinterested ."], "output": "['waiter', ['horrible', 'rude', 'disinterested']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sangria 's - watered down ."], "output": "['sangria', ['watered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["menu - uneventful , small ."], "output": "['menu', ['uneventful', 'small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price ."], "output": "['sushi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price ."], "output": "['portions', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Anytime and everytime I find myself in the neighborhood I will go to Sushi Rose for fresh sushi and great portions all at a reasonable price ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food but the service was dreadful !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food but the service was dreadful !"], "output": "['service', ['dreadful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The portions of the food that came out were mediocre ."], "output": "['portions', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["From the beginning , we were met by friendly staff memebers , and the convenient parking at Chelsea Piers made it easy for us to get to the boat ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["From the beginning , we were met by friendly staff memebers , and the convenient parking at Chelsea Piers made it easy for us to get to the boat ."], "output": "['parking', ['convenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Desserts are almost incredible : my personal favorite is their Tart of the Day ."], "output": "['Desserts', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Desserts are almost incredible : my personal favorite is their Tart of the Day ."], "output": "['Tart', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was extremely tasty , creatively presented and the wine excellent ."], "output": "['food', ['tasty', 'creatively']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was extremely tasty , creatively presented and the wine excellent ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE LASAGNA WAS PROBABLY THE BEST I HAVE TASTED ."], "output": "['LASAGNA', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Harumi Sushi has the freshest and most delicious array of sushi in NYC ."], "output": "['array', ['freshest', 'most']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend it for not just its superb cuisine , but also for its friendly owners and staff ."], "output": "['cuisine', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend it for not just its superb cuisine , but also for its friendly owners and staff ."], "output": "['owners', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend it for not just its superb cuisine , but also for its friendly owners and staff ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're craving some serious indian food and desire a cozy ambiance , this is quiet and exquisite choice ."], "output": "['indian', ['serious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're craving some serious indian food and desire a cozy ambiance , this is quiet and exquisite choice ."], "output": "['ambiance', ['cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I definitely enjoyed the food as well ."], "output": "['food', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was pleasantly uncrowded , the service was delightful , the garden adorable , the food ( from appetizers to entrees ) was delectable ."], "output": "['service', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was pleasantly uncrowded , the service was delightful , the garden adorable , the food ( from appetizers to entrees ) was delectable ."], "output": "['garden', ['adorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was pleasantly uncrowded , the service was delightful , the garden adorable , the food ( from appetizers to entrees ) was delectable ."], "output": "['food', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was pleasantly uncrowded , the service was delightful , the garden adorable , the food ( from appetizers to entrees ) was delectable ."], "output": "['appetizers', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was pleasantly uncrowded , the service was delightful , the garden adorable , the food ( from appetizers to entrees ) was delectable ."], "output": "['entrees', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is surprisingly good , and the decor is nice ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is surprisingly good , and the decor is nice ."], "output": "['decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides power lunch and dinners !"], "output": "['lunch', ['power']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["How pretentious and inappropriate for MJ Grill to claim that it provides power lunch and dinners !"], "output": "['dinners', ['power']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Two wasted steaks -- what a crime !"], "output": "['steaks', ['wasted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff should be a bit more friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I think the meatball parm is good ."], "output": "['meatball', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you want good tasting , well seasoned latin food eat at Cabana and you ca n't go wrong ."], "output": "['latin', ['good', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Definitely try the taglierini with truffles - it was incredible ."], "output": "['taglierini', ['try', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also , the staff is very attentive and really personable ."], "output": "['staff', ['attentive', 'personable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The gnocchi literally melts in your mouth !"], "output": "['gnocchi', ['melts']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a great experience at Trio ... staff was pleasant ; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto ."], "output": "['staff', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a great experience at Trio ... staff was pleasant ; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a great experience at Trio ... staff was pleasant ; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto ."], "output": "['portion', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a great experience at Trio ... staff was pleasant ; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto ."], "output": "['portobello/gorgonzola/sausage', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a great experience at Trio ... staff was pleasant ; food was tasty and large in portion size - I would highly recommend the portobello/gorgonzola/sausage appetizer and the lobster risotto ."], "output": "['lobster', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is good , the teriyaki I recommend ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is good , the teriyaki I recommend ."], "output": "['teriyaki', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Meal was very expensive for what you get ."], "output": "['Meal', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the Peanut Butter Sorbet and the pizza with soy cheese !"], "output": "['Peanut', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the Peanut Butter Sorbet and the pizza with soy cheese !"], "output": "['pizza', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good food at the right price , what more can you ask for ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good food at the right price , what more can you ask for ."], "output": "['price', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is top notch , the service is attentive , and the atmosphere is great ."], "output": "['food', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is top notch , the service is attentive , and the atmosphere is great ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is top notch , the service is attentive , and the atmosphere is great ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great waitstaff , great atmosphere , and best of all GREAT beer !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great waitstaff , great atmosphere , and best of all GREAT beer !"], "output": "['waitstaff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great waitstaff , great atmosphere , and best of all GREAT beer !"], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great waitstaff , great atmosphere , and best of all GREAT beer !"], "output": "['beer', ['best', 'GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good ( kimono shrimp special was excellent ) and has a great atmosphere ."], "output": "['food', ['inexpensive', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good ( kimono shrimp special was excellent ) and has a great atmosphere ."], "output": "['kimono', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["this is still one of my most favorite restaurants in the area the food is inexpensive but very good ( kimono shrimp special was excellent ) and has a great atmosphere ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu is interesting and quite reasonably priced ."], "output": "['menu', ['interesting', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu is interesting and quite reasonably priced ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was delicious and clearly fresh ingredients were used ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was delicious and clearly fresh ingredients were used ."], "output": "['ingredients', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This made it obvious that the food was n't cooked fresh ; it was obviously made before hand and then reheated ."], "output": "['food', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Appetizer are excellent here ; you can make a great ( and inexpensive ) meal out of them ."], "output": "['Appetizer', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Appetizer are excellent here ; you can make a great ( and inexpensive ) meal out of them ."], "output": "['meal', ['great', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The spicy mussels are a highlight ."], "output": "['spicy', ['highlight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also get the Onion Rings -- best we 've ever had ."], "output": "['Onion', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , being foodies , we were utterly disappointed with the food ."], "output": "['food', ['utterly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Huge portions , great and attentive service , and pretty good prices ."], "output": "['portions', ['Huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Huge portions , great and attentive service , and pretty good prices ."], "output": "['service', ['great', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Huge portions , great and attentive service , and pretty good prices ."], "output": "['prices', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was highly disappointed by their service and food ."], "output": "['service', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was highly disappointed by their service and food ."], "output": "['food', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I complained to the waiter and then to the manager , but the intensity of rudeness from them just went up ."], "output": "['waiter', ['rudeness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I complained to the waiter and then to the manager , but the intensity of rudeness from them just went up ."], "output": "['manager', ['rudeness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the milkshakes are even better !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the milkshakes are even better !"], "output": "['milkshakes', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the mushroom barley soup is amazing ."], "output": "['mushroom', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'm glad I did as the food was very good and the staff was friendly , courteous and efficient ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'm glad I did as the food was very good and the staff was friendly , courteous and efficient ."], "output": "['staff', ['friendly', 'courteous', 'efficient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Their duck here is also absolutely delicious ."], "output": "['duck', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While it was large and a bit noisy , the drinks were fantastic , and the food was superb ."], "output": "['drinks', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While it was large and a bit noisy , the drinks were fantastic , and the food was superb ."], "output": "['food', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["One caveat : Some of the curried casseroles can be a trifle harsh ."], "output": "['curried', ['harsh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was almost always EXCELLENT ."], "output": "['food', ['EXCELLENT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was pleasantly surprised at the taste ."], "output": "['taste', ['pleasantly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A nice space , as long as it does n't get too crowded and a singleminded devotion to its chosen cuisine make Mare a great choice for seafood lovers ."], "output": "['seafood', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A nice space , as long as it does n't get too crowded and a singleminded devotion to its chosen cuisine make Mare a great choice for seafood lovers ."], "output": "['space', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["they really provide a relaxing , laid-back atmosphere ."], "output": "['atmosphere', ['relaxing', 'laid-back']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This particular location certainly uses substandard meats ."], "output": "['meats', ['substandard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Management was less than accomodating ."], "output": "['Management', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The ambience is also more laid-back and relaxed ."], "output": "['ambience', ['laid-back', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the teas are great and all the sweets are homemade ."], "output": "['teas', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the teas are great and all the sweets are homemade ."], "output": "['sweets', ['homemade']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["mojitos and the service are the best part in there"], "output": "['mojitos', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["mojitos and the service are the best part in there"], "output": "['service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sandwiches , burgers and salads , like the lemon-dressed cobb , are classic successes ."], "output": "['Sandwiches', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sandwiches , burgers and salads , like the lemon-dressed cobb , are classic successes ."], "output": "['burgers', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sandwiches , burgers and salads , like the lemon-dressed cobb , are classic successes ."], "output": "['salads', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sandwiches , burgers and salads , like the lemon-dressed cobb , are classic successes ."], "output": "['lemon-dressed', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The design is very intimate and romantic ."], "output": "['design', ['intimate', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was wonderful and imaginative ."], "output": "['food', ['wonderful', 'imaginative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is very sharp and they look good too ."], "output": "['staff', ['sharp', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The worst though was the taste ."], "output": "['taste', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The fajita we tried was tasteless and burned and the mole sauce was way too sweet ."], "output": "['fajita', ['tasteless', 'burned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The fajita we tried was tasteless and burned and the mole sauce was way too sweet ."], "output": "['mole', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is warm , comfortable , artsy and sexy ."], "output": "['atmosphere', ['warm', 'artsy', 'sexy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great ( big selection , reasonable prices ) and the drinks are really good ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great ( big selection , reasonable prices ) and the drinks are really good ."], "output": "['selection', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great ( big selection , reasonable prices ) and the drinks are really good ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great ( big selection , reasonable prices ) and the drinks are really good ."], "output": "['drinks', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food did take a few extra minutes to come , but the cute waiters ' jokes and friendliness made up for it ."], "output": "['waiters', ['cute', 'friendliness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Most importantly , it is reasonably priced ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The selection of food is excellent ( I 'm not used to having much choice at restaurants ) , and the atmosphere is great ."], "output": "['selection', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The selection of food is excellent ( I 'm not used to having much choice at restaurants ) , and the atmosphere is great ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Only suggestion is that you skip the dessert , it was overpriced and fell short on taste ."], "output": "['dessert', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Only suggestion is that you skip the dessert , it was overpriced and fell short on taste ."], "output": "['taste', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food was decent , but not great ."], "output": "['Food', ['decent', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it is a hidden delight complete with a quaint bar and good food ."], "output": "['bar', ['quaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it is a hidden delight complete with a quaint bar and good food ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiters ALWAYS look angry and even ignore their high-tipping regulars ."], "output": "['waiters', ['angry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the atmosphere is very nice , and a welcome escape from the rest of the SI mall ."], "output": "['atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Yes , they 're a bit more expensive then typical , but then again , so is their food ."], "output": "['food', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can say that the wraps , burgers and salads were all fresh , tasty and the mango margareta at $ 9 was WELL WORTH the money ."], "output": "['wraps', ['fresh', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can say that the wraps , burgers and salads were all fresh , tasty and the mango margareta at $ 9 was WELL WORTH the money ."], "output": "['burgers', ['fresh', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can say that the wraps , burgers and salads were all fresh , tasty and the mango margareta at $ 9 was WELL WORTH the money ."], "output": "['salads', ['fresh', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can say that the wraps , burgers and salads were all fresh , tasty and the mango margareta at $ 9 was WELL WORTH the money ."], "output": "['mango', ['WELL']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service we experienced was friendly and good ."], "output": "['service', ['friendly', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waiter was friendly and it is a shame that he didnt have a supportive staff to work with ."], "output": "['waiter', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The folding chair I was seated at was uncomfortable ."], "output": "['folding', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was among the best I have ever had in NYC ."], "output": "['Service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The fettucino alfredo was amazing ."], "output": "['fettucino', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was very good and I was pleasantly surprised to see so many vegan options ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was very good and I was pleasantly surprised to see so many vegan options ."], "output": "['vegan', ['many']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the Smoked Trout ... Lamb Chops , Veal Chops , Rabbit , the potato gratin , on and on and on ..."], "output": "['Smoked', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the Smoked Trout ... Lamb Chops , Veal Chops , Rabbit , the potato gratin , on and on and on ..."], "output": "['Lamb', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the Smoked Trout ... Lamb Chops , Veal Chops , Rabbit , the potato gratin , on and on and on ..."], "output": "['Veal', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the Smoked Trout ... Lamb Chops , Veal Chops , Rabbit , the potato gratin , on and on and on ..."], "output": "['Rabbit', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the Smoked Trout ... Lamb Chops , Veal Chops , Rabbit , the potato gratin , on and on and on ..."], "output": "['potato', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Even when the chef is not in the house , the food and service are right on target ."], "output": "['food', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Even when the chef is not in the house , the food and service are right on target ."], "output": "['service', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty ."], "output": "['eggs', ['well', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty ."], "output": "['mussels', ['well', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty ."], "output": "['hamburger', ['well', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiters were very professional , courteous and attentive ."], "output": "['waiters', ['professional', 'courteous', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The falafal was rather over cooked and dried but the chicken was fine ."], "output": "['falafal', ['over', 'dried']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The falafal was rather over cooked and dried but the chicken was fine ."], "output": "['chicken', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the grand marnier shrimp , it 's insanely good ."], "output": "['grand', ['recommend', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We been there and we really enjoy the food , was areally great food , and the service was really good ."], "output": "['food', ['enjoy', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We been there and we really enjoy the food , was areally great food , and the service was really good ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was starving and the small portions were driving me crazy !"], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wait staff was loud and inconsiderate ."], "output": "['wait', ['loud', 'inconsiderate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , the food and service and dramatically lacking ."], "output": "['food', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , the food and service and dramatically lacking ."], "output": "['service', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi is cut in blocks bigger than my cell phone ."], "output": "['sushi', ['bigger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is great , my soup always arrives nice and hot ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is great , my soup always arrives nice and hot ."], "output": "['soup', ['great', 'hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It had been awhile and I forgot just how delicious crepes can be ."], "output": "['crepes', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Montparnasse 's desserts -- especially the silken creme brulee and paper -- thin apple tart -- are good enough on their own to make the restaurant worth the trip ."], "output": "['desserts', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Montparnasse 's desserts -- especially the silken creme brulee and paper -- thin apple tart -- are good enough on their own to make the restaurant worth the trip ."], "output": "['creme', ['silken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Montparnasse 's desserts -- especially the silken creme brulee and paper -- thin apple tart -- are good enough on their own to make the restaurant worth the trip ."], "output": "['apple', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i had a delicious shrimp creole ."], "output": "['shrimp', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken dinner was real good ."], "output": "['chicken', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["but the food was delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the ribs , sizzling beef and couple it with coconut rice ."], "output": "['ribs', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the ribs , sizzling beef and couple it with coconut rice ."], "output": "['beef', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The avocado salad is a personal fave ."], "output": "['avocado', ['fave']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And , the honey BBQ rib tips are yummy !"], "output": "['honey', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The BEST Chinese food Uptown !"], "output": "['Chinese', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service is known for bending over backwards to make everyone happy ."], "output": "['Service', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is attractive , but a little uncomfortable ."], "output": "['atmosphere', ['attractive', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is very friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Waiters are very friendly and the pasta is out of this world ."], "output": "['Waiters', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Waiters are very friendly and the pasta is out of this world ."], "output": "['pasta', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great wine list and great cocktail menu ."], "output": "['wine', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great wine list and great cocktail menu ."], "output": "['cocktail', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The crab cakes are delicious and the BBQ rib was perfect ."], "output": "['crab', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The crab cakes are delicious and the BBQ rib was perfect ."], "output": "['BBQ', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , artfully done and simply delicious ."], "output": "['food', ['wonderful', 'artfully', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Tiny restaurant with very fast service ."], "output": "['service', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sauce may not be for everyone , since it is distinctive ."], "output": "['sauce', ['distinctive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My husband and I have been there at least 6 times and we 've always been given the highest service and often free desserts ."], "output": "['service', ['highest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My husband and I have been there at least 6 times and we 've always been given the highest service and often free desserts ."], "output": "['desserts', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A beautiful atmosphere , perfect for drinks and/or appetizers ."], "output": "['atmosphere', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A beautiful atmosphere , perfect for drinks and/or appetizers ."], "output": "['drinks', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A beautiful atmosphere , perfect for drinks and/or appetizers ."], "output": "['appetizers', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They make the best pizza in New Jersey ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What a difference , the service was very comforting and the food was better than average , but what really standed out was such a dynamic and extensive beer list ."], "output": "['service', ['comforting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What a difference , the service was very comforting and the food was better than average , but what really standed out was such a dynamic and extensive beer list ."], "output": "['food', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What a difference , the service was very comforting and the food was better than average , but what really standed out was such a dynamic and extensive beer list ."], "output": "['beer', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not to be overlooked , the service is excellent ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["this without question is one of the worst hotdogs i have ever had ."], "output": "['hotdogs', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is unbelievably friendly , and I dream about their Saag gosht ... so good ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is unbelievably friendly , and I dream about their Saag gosht ... so good ."], "output": "['Saag', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I also recommend the garlic knots ."], "output": "['garlic', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Indian food I have ever eaten ."], "output": "['Indian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has the best pizza ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music which is sometimes a little too heavy for my taste ."], "output": "['music', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is excellent and always informative without an air ."], "output": "['service', ['excellent', 'informative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi is always fresh and yummy and the menu is pretty varied ."], "output": "['sushi', ['fresh', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi is always fresh and yummy and the menu is pretty varied ."], "output": "['menu', ['varied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was great - sushi was good , but the cooked food amazed us ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was great - sushi was good , but the cooked food amazed us ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was great - sushi was good , but the cooked food amazed us ."], "output": "['cooked', ['amazed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["their dinner specials are fantastic ."], "output": "['dinner', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great drinks , nice dining atmosphere ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great drinks , nice dining atmosphere ."], "output": "['drinks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , great drinks , nice dining atmosphere ."], "output": "['dining', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food portion was SMALL and below average ."], "output": "['Food', ['SMALL', 'below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sit back in one of those comfortable chairs ."], "output": "['chairs', ['comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My favs here are the Tacos Pastor and the Tostada de Tinga ..."], "output": "['Tacos', ['favs']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My favs here are the Tacos Pastor and the Tostada de Tinga ..."], "output": "['Tostada', ['favs']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back , all the while being trendy ."], "output": "['bartenders', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back , all the while being trendy ."], "output": "['managers', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bartenders and the managers are really nice and the decor is very comfy and laid-back , all the while being trendy ."], "output": "['decor', ['comfy', 'laid-back']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For a savory take on the soup and sandwich meal , try the hot and sour soup ."], "output": "['hot', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For a savory take on the soup and sandwich meal , try the hot and sour soup ."], "output": "['soup', ['savory']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This bar has it all - great drinks , cool atmosphere , excellent service and delicious food ."], "output": "['drinks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This bar has it all - great drinks , cool atmosphere , excellent service and delicious food ."], "output": "['atmosphere', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This bar has it all - great drinks , cool atmosphere , excellent service and delicious food ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This bar has it all - great drinks , cool atmosphere , excellent service and delicious food ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also , the chick peas with shrimp ( appetizer ) is divine ."], "output": "['chick', ['divine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Finally , I got sick of the bad service , obnoxious smirks , and snotty back talk ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We ordered lamb which was perfectly cooked and tasted awesome ."], "output": "['lamb', ['perfectly', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i especially like their soft shell crab sandwich with fries ."], "output": "['soft', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["if you 're looking for authentic hong kong-style food , look no further ."], "output": "['hong', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good food good wine that 's it ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good food good wine that 's it ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff was extremely friendly and pleasant ."], "output": "['staff', ['friendly', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While their kitchen food is delicious , their Sushi is out of this world ."], "output": "['kitchen', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While their kitchen food is delicious , their Sushi is out of this world ."], "output": "['Sushi', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["everything is scrumptious , from the excellent service by cute waitresses , to the extremely lush atmosphere ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["everything is scrumptious , from the excellent service by cute waitresses , to the extremely lush atmosphere ."], "output": "['waitresses', ['cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["everything is scrumptious , from the excellent service by cute waitresses , to the extremely lush atmosphere ."], "output": "['atmosphere', ['lush']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's traditional , simple italian food ."], "output": "['italian', ['traditional', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is all-around good , with the rolls usually excellent and the sushi/sashimi not quite on the same level ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is all-around good , with the rolls usually excellent and the sushi/sashimi not quite on the same level ."], "output": "['rolls', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["( The sashimi is cut a little thinly ."], "output": "['sashimi', ['thinly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In addition to great hot dogs , DOTP has wonderful breakfast sandwiches that feature , in addition to great things like tator tots and English muffins , a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham ."], "output": "['hot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In addition to great hot dogs , DOTP has wonderful breakfast sandwiches that feature , in addition to great things like tator tots and English muffins , a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham ."], "output": "['breakfast', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In addition to great hot dogs , DOTP has wonderful breakfast sandwiches that feature , in addition to great things like tator tots and English muffins , a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham ."], "output": "['tator', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In addition to great hot dogs , DOTP has wonderful breakfast sandwiches that feature , in addition to great things like tator tots and English muffins , a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham ."], "output": "['English', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In addition to great hot dogs , DOTP has wonderful breakfast sandwiches that feature , in addition to great things like tator tots and English muffins , a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham ."], "output": "['pork', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Well , it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks , and then tells us to chill out ."], "output": "['manager', ['graceless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Well , it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks , and then tells us to chill out ."], "output": "['bartender', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Well , it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks , and then tells us to chill out ."], "output": "['drinks', ['waiting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Well , it happened because of a graceless manager and a rude bartender who had us waiting 20 minutes for drinks , and then tells us to chill out ."], "output": "['waiting', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only is the service great , but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only is the service great , but forming conversation around a table is so easy beacuse the atmosphere can be both romantic and comfortable ."], "output": "['atmosphere', ['romantic', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["When the dish arrived it was blazing with green chillis , definitely not edible by a human ."], "output": "['green', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["When the dish arrived it was blazing with green chillis , definitely not edible by a human ."], "output": "['dish', ['edible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The absolute worst service I 've ever experienced and the food was below average ( when they actually gave people the meals they ordered ) ."], "output": "['service', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The absolute worst service I 've ever experienced and the food was below average ( when they actually gave people the meals they ordered ) ."], "output": "['food', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to accompany your food with one of their fresh juice concoctions ."], "output": "['fresh', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the prices are reasonable ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the prices are reasonable ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place is clean , and if you like soul food , then this is the place to be !"], "output": "['place', ['clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place is clean , and if you like soul food , then this is the place to be !"], "output": "['soul', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have a very good chicken with avocado and good tuna as well ."], "output": "['chicken', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have a very good chicken with avocado and good tuna as well ."], "output": "['tuna', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the meals were terrible ."], "output": "['meals', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My chicken was completely dried out and on the cold side and the sauce was not very flavorful ."], "output": "['chicken', ['dried']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My chicken was completely dried out and on the cold side and the sauce was not very flavorful ."], "output": "['sauce', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Malted Milk Ball Gelato - have you ever in your life heard of anything so ridiculously wonderful ?"], "output": "['Malted', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Way too much money for such a terrible meal ."], "output": "['meal', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , the service is absolutely horrible ."], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A con was the slow bar service ."], "output": "['bar', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dessert was also to die for !"], "output": "['Dessert', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["BTW , the service is very good ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The unattractive lighting made me want to gag , the food was overpriced , there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate ."], "output": "['lighting', ['unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The unattractive lighting made me want to gag , the food was overpriced , there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate ."], "output": "['food', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The unattractive lighting made me want to gag , the food was overpriced , there was the most awful disco pop duo performing-and my escargot looked like it might crawl off the plate ."], "output": "['disco', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it is a cozy place to go with a couple of friends ."], "output": "['place', ['cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is always great , and the owner walks around to make sure you enjoy ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food is delicious and highly recommended ."], "output": "['food', ['delicious', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["So for a filling and healthy meal give it a go ."], "output": "['meal', ['filling', 'healthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Since I cook for a living , I 'm very fussy about the food I eat in restaurants ."], "output": "['food', ['fussy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was outstanding ."], "output": "['service', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We always enjoy the pizza ."], "output": "['pizza', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is pretty good ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Yum , the chicken is great here ."], "output": "['chicken', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food here was great , a treat from beginning to end ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The host ( owner ) and servers are personable and caring ."], "output": "['host', ['personable', 'caring']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The host ( owner ) and servers are personable and caring ."], "output": "['servers', ['personable', 'caring']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's just everything ... the food , the atmosphere ... the incrediby kind and gracious hostess ."], "output": "['hostess', ['kind', 'gracious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is very good and the service is great ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is very good and the service is great ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were wondering why they were there to make our dining experience miserable ?"], "output": "['dining', ['miserable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has the best Indian food in New York , hands down ."], "output": "['Indian', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiters are very friendly and helpful and if you frequent they will remember you ."], "output": "['waiters', ['friendly', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Intimate but charming interior with extremely friendly and attentive service ."], "output": "['interior', ['charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Intimate but charming interior with extremely friendly and attentive service ."], "output": "['service', ['friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was as creative as the decor and both worked ."], "output": "['food', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was as creative as the decor and both worked ."], "output": "['decor', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu is great , with a good selection , and everything that I have tried is absolutely delicious ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu is great , with a good selection , and everything that I have tried is absolutely delicious ."], "output": "['selection', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sauce is zesty and flavorful and the crust is nice and crispy ."], "output": "['sauce', ['zesty', 'flavorful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sauce is zesty and flavorful and the crust is nice and crispy ."], "output": "['crust', ['nice', 'crispy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has the best sushi in the city ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have an excellent selection ( the rolls with crab are really great ) ."], "output": "['selection', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have an excellent selection ( the rolls with crab are really great ) ."], "output": "['rolls', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone who works there ( the host , the bartender , the servers ) is so helpful ."], "output": "['host', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone who works there ( the host , the bartender , the servers ) is so helpful ."], "output": "['bartender', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone who works there ( the host , the bartender , the servers ) is so helpful ."], "output": "['servers', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And the food is fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Favourites include : potato spinach gnocchi and the lamb ."], "output": "['potato', ['Favourites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Favourites include : potato spinach gnocchi and the lamb ."], "output": "['lamb', ['Favourites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But regulars know that the sandwiches are the real star here ."], "output": "['sandwiches', ['star']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the perfect Iberian ending ."], "output": "['port', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The skillfully chosen Portuguese cheese cart paired with quality port provides the perfect Iberian ending ."], "output": "['Portuguese', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My friend had a burger and I had these wonderful blueberry pancakes ."], "output": "['blueberry', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were so happy with our food and were even more thrilled when we saw the bill ."], "output": "['food', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were so happy with our food and were even more thrilled when we saw the bill ."], "output": "['bill', ['thrilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All toppings are so fresh you 'd think they had their own vegetable garden and the crust is so perfect , that one actually thinks of how it was made ."], "output": "['toppings', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All toppings are so fresh you 'd think they had their own vegetable garden and the crust is so perfect , that one actually thinks of how it was made ."], "output": "['crust', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We 've always gotten amazing service and we love the food ."], "output": "['service', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We 've always gotten amazing service and we love the food ."], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waitstaff is solicitous and friendly and always seems glad to see us , and the food is wonderful , if not stunningly creative ."], "output": "['waitstaff', ['solicitous', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waitstaff is solicitous and friendly and always seems glad to see us , and the food is wonderful , if not stunningly creative ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'm in love with the lobster ravioli !"], "output": "['lobster', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We came across this restaurant by accident while at a DUMBO art festival and thoroughly enjoyed our meal ."], "output": "['meal', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service is excellent , no wait , and you get a lot for the price ."], "output": "['Service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service is excellent , no wait , and you get a lot for the price ."], "output": "['wait', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I thought the food is n't cheap at all compared to Chinatown ."], "output": "['food', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Coffee is a better deal than overpriced Cosi sandwiches ."], "output": "['Coffee', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Coffee is a better deal than overpriced Cosi sandwiches ."], "output": "['Cosi', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": [") It 's not the best Japanese restaurant in the East Village , but it 's a pretty solid one for its modest prices , and worth repeat visits ."], "output": "['prices', ['modest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is so good and so popular that waiting can really be a nightmare ."], "output": "['food', ['good', 'popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is so good and so popular that waiting can really be a nightmare ."], "output": "['waiting', ['nightmare']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["First walking in the place seemed to have great ambience ."], "output": "['ambience', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Even for two very hungry people there is plenty of food left to be taken home ( it reheats really well also ) ."], "output": "['food', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Then they somehow made a dry and burnt crust , around a raw and cold inside ."], "output": "['crust', ['dry', 'burnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's just good food , nothing more and that 's all we want !"], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Average cake thats been courted by a LOT of hype ."], "output": "['cake', ['Average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My wife and I recently visited the bistro for dinner and had a wonderful experience ."], "output": "['dinner', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE SERVICE IS PERFECT TOO NOTHING WRONG IN THIS ITALIAN/FRENCH RESTAURANT"], "output": "['SERVICE', ['PERFECT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The $ 72 Delmonico steak had to be sent back because it was not cooked to order ."], "output": "['Delmonico', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is really fast and friendly , and the value is great ."], "output": "['service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is really fast and friendly , and the value is great ."], "output": "['value', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were very impressed with the food and value ."], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were very impressed with the food and value ."], "output": "['value', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You must try the garlic soup !"], "output": "['garlic', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Casablanca servces delicious falafel , tabouleh , humus and other Mediterranean delights , which are all very inexpensive ."], "output": "['falafel', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Casablanca servces delicious falafel , tabouleh , humus and other Mediterranean delights , which are all very inexpensive ."], "output": "['tabouleh', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Casablanca servces delicious falafel , tabouleh , humus and other Mediterranean delights , which are all very inexpensive ."], "output": "['humus', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Casablanca servces delicious falafel , tabouleh , humus and other Mediterranean delights , which are all very inexpensive ."], "output": "['Mediterranean', ['delicious', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza 's are made fresh , crispy , and ready to serve ."], "output": "['pizza', ['fresh', 'crispy', 'ready']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Staff is accomodating make sure you are satified ."], "output": "['Staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Reasonably priced with very fresh sushi ."], "output": "['sushi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Reasonably priced with very fresh sushi ."], "output": "['priced', ['Reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All of the apetizers are good and the Sangria is very good ."], "output": "['apetizers', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All of the apetizers are good and the Sangria is very good ."], "output": "['Sangria', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The one positive thing I can say is that the service was prompt , we got seated right away and the server was very friendly ."], "output": "['service', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The one positive thing I can say is that the service was prompt , we got seated right away and the server was very friendly ."], "output": "['server', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff greeted me warmly at the door and I was seated promptly and the food was excellent ."], "output": "['staff', ['warmly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff greeted me warmly at the door and I was seated promptly and the food was excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service is usually pretty good ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Host and Hostess was quite rude ."], "output": "['Host', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Host and Hostess was quite rude ."], "output": "['Hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the wait staff is very friendly , if your not rude or picky ... ... .our meal at Leon last weekend was great - ."], "output": "['wait', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the wait staff is very friendly , if your not rude or picky ... ... .our meal at Leon last weekend was great - ."], "output": "['meal', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I recommend any of their salmon dishes ... ..."], "output": "['salmon', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The foie gras was sweet and luscious ."], "output": "['foie', ['sweet', 'luscious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu , which changes seasonally , shows both regional and international influences ."], "output": "['menu', ['changes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["but their mac cheese was YUMMY !"], "output": "['mac', ['YUMMY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["jazz singer had a nice voice + she made us all get up to dance to shake some cals to eat some more ."], "output": "['jazz', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have very quick service which is great when you do n't have much time ."], "output": "['service', ['quick', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is average : breakfast food , soups , salads , sandwiches , etc ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is average : breakfast food , soups , salads , sandwiches , etc ."], "output": "['breakfast', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is average : breakfast food , soups , salads , sandwiches , etc ."], "output": "['soups', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is average : breakfast food , soups , salads , sandwiches , etc ."], "output": "['salads', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is average : breakfast food , soups , salads , sandwiches , etc ."], "output": "['sandwiches', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I WAS HIGHLY DISAPPOINTED BY THE FOOD ."], "output": "['FOOD', ['DISAPPOINTED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN , THE CRABCAKES ARE WAY OVER SALTED AND DO N'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE ."], "output": "['CRABCAKES', ['OVER']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN , THE CRABCAKES ARE WAY OVER SALTED AND DO N'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE ."], "output": "['MAC', ['GREASY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is arrogant , the prices are way high for Brooklyn ."], "output": "['staff', ['arrogant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is arrogant , the prices are way high for Brooklyn ."], "output": "['prices', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the service is prompt friendly ."], "output": "['service', ['prompt', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is literally a hot spot when it comes to the food ."], "output": "['food', ['hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The downstairs bar scene is very cool and chill ..."], "output": "['downstairs', ['cool', 'chill']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was definitely good , but when all was said and done , I just could n't justify it for the price ( including 2 drinks , $ 100/person ) ..."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you are a Tequila fan you will not be disappointed ."], "output": "['Tequila', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great beer selection too , something like 50 beers ."], "output": "['beer', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great beer selection too , something like 50 beers ."], "output": "['beers', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not to sound too negative but be wary of the delivary ."], "output": "['delivary', ['wary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I found the food to be just as good as its owner , Da Silvano , just much less expensive ."], "output": "['food', ['good', 'much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I found the food to be just as good as its owner , Da Silvano , just much less expensive ."], "output": "['owner', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have homemade pastas of all kinds -- I recommend the gnocchi -- yum !"], "output": "['gnocchi', ['recommend', 'yum']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My vegetable risotto was burnt , and infused totally in a burnt flavor ."], "output": "['vegetable', ['burnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My vegetable risotto was burnt , and infused totally in a burnt flavor ."], "output": "['flavor', ['burnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The main draw of this place is the price ."], "output": "['price', ['draw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But dinner here is never disappointing , even if the prices are a bit over the top ."], "output": "['dinner', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But dinner here is never disappointing , even if the prices are a bit over the top ."], "output": "['prices', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only did they have amazing , sandwiches , soup , pizza etc , but their homemade sorbets are out of this world !"], "output": "['sandwiches', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only did they have amazing , sandwiches , soup , pizza etc , but their homemade sorbets are out of this world !"], "output": "['soup', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only did they have amazing , sandwiches , soup , pizza etc , but their homemade sorbets are out of this world !"], "output": "['pizza', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only did they have amazing , sandwiches , soup , pizza etc , but their homemade sorbets are out of this world !"], "output": "['homemade', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the homemade Guacamole , the unbelievable entree , and thee most amazing deserts ."], "output": "['homemade', ['unbelievable', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the homemade Guacamole , the unbelievable entree , and thee most amazing deserts ."], "output": "['entree', ['unbelievable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the homemade Guacamole , the unbelievable entree , and thee most amazing deserts ."], "output": "['deserts', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi is reasonably priced and fresh ."], "output": "['sushi', ['reasonably', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi is reasonably priced and fresh ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Save room for deserts - they 're to die for ."], "output": "['deserts', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The traditional Italian items are great - cheap and served in a cozy setting ."], "output": "['traditional', ['great', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The traditional Italian items are great - cheap and served in a cozy setting ."], "output": "['setting', ['cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was a bit slow and the portions are a bit small so if you are hungry and in a rush , this is not the place for you ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was a bit slow and the portions are a bit small so if you are hungry and in a rush , this is not the place for you ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The ambiance was pretty cool , but not worth the hassle ."], "output": "['ambiance', ['cool', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["El Nidos one of the best restaurants in New York which I 've ever been to , has a great variety of tasty , mouth watering pizza 's ."], "output": "['pizza', ['great', 'tasty', 'mouth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was pretty poor all around , the food was well below average relative to the cost , and outside there is a crazy bum who harasses every customer who leaves the place ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was pretty poor all around , the food was well below average relative to the cost , and outside there is a crazy bum who harasses every customer who leaves the place ."], "output": "['food', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the friendly staff a visit ."], "output": "['food', ['GREAT', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although I moved uptown I try to stop in as often as possible for the GREAT cheap food and to pay the friendly staff a visit ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Chef Vincenzo , always there if you need him , is a real talent and a real Roman ."], "output": "['Chef', ['talent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're looking to taste some great Indian food and want good service , definitely visit Curry Leaf ."], "output": "['Indian', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're looking to taste some great Indian food and want good service , definitely visit Curry Leaf ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You must try Odessa stew or Rabbit stew ; salads -all good ; and kompot is soo refreshing during the hot summer day ( they make it the way my mom does , reminds me of home a lot ) ."], "output": "['Odessa', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You must try Odessa stew or Rabbit stew ; salads -all good ; and kompot is soo refreshing during the hot summer day ( they make it the way my mom does , reminds me of home a lot ) ."], "output": "['Rabbit', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You must try Odessa stew or Rabbit stew ; salads -all good ; and kompot is soo refreshing during the hot summer day ( they make it the way my mom does , reminds me of home a lot ) ."], "output": "['salads', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You must try Odessa stew or Rabbit stew ; salads -all good ; and kompot is soo refreshing during the hot summer day ( they make it the way my mom does , reminds me of home a lot ) ."], "output": "['kompot', ['refreshing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My daughter and I left feeling satisfied ( not stuffed ) and it felt good to know we had a healthy lunch ."], "output": "['lunch', ['healthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The quality of the meat was on par with your local grocery store ."], "output": "['quality', ['on']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I recommend the black roasted codfish , it was the best dish of the evening ."], "output": "['black', ['recommend', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I recommend the black roasted codfish , it was the best dish of the evening ."], "output": "['dish', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The manager then told us we could order from whatever menu we wanted but by that time we were so annoyed with the waiter and the resturant that we let and went some place else ."], "output": "['waiter', ['annoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In mi burrito , here was nothing but dark chicken that had that cooked last week and just warmed up in a microwave taste ."], "output": "['taste', ['microwave']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In mi burrito , here was nothing but dark chicken that had that cooked last week and just warmed up in a microwave taste ."], "output": "['chicken', ['dark']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["during busy hrs , i recommend that you make a reservation ."], "output": "['reservation', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I went to Common Stock for brunch and I was so impressed ."], "output": "['brunch', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["now called nikki sushi , sushi is OK ."], "output": "['sushi', ['OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is also outstanding and is served quite quickly ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is also outstanding and is served quite quickly ."], "output": "['served', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is delicious and the bar has a great vibe ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is delicious and the bar has a great vibe ."], "output": "['bar', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is delicious and the bar has a great vibe ."], "output": "['vibe', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Simple healthy unglamorous food cheap ."], "output": "['food', ['Simple', 'healthy', 'unglamorous', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was such a fantastic dining experience , that I returned again the same week ."], "output": "['dining', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["To be fair , the food still is good and the service is quick and attentative even though its usually very busy ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["To be fair , the food still is good and the service is quick and attentative even though its usually very busy ."], "output": "['service', ['quick', 'attentative', 'busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place is absolutely adorable and the food is delicious ."], "output": "['place', ['adorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place is absolutely adorable and the food is delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had better Japanese food at a mall food court ."], "output": "['Japanese', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff members are extremely friendly and even replaced my drink once when I dropped it outside ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Cool atmosphere but such a let down ."], "output": "['atmosphere', ['Cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Sashimi portion are big enough to appease most people , but I did n't like the fact they used artifical lobster meat ."], "output": "['Sashimi', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Sashimi portion are big enough to appease most people , but I did n't like the fact they used artifical lobster meat ."], "output": "['artifical', ['did', 'artifical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have wheat crusted pizza made with really fresh and yummy ingredients ."], "output": "['ingredients', ['fresh', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a lovely dinner in this dedicated seafood joint , food was well-prepared and -presented and the service was pleasant and prompt ."], "output": "['dinner', ['lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a lovely dinner in this dedicated seafood joint , food was well-prepared and -presented and the service was pleasant and prompt ."], "output": "['food', ['well-prepared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a lovely dinner in this dedicated seafood joint , food was well-prepared and -presented and the service was pleasant and prompt ."], "output": "['service', ['pleasant', 'prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the icing MADE this cake , it was fluffy , not ultra sweet , creamy and light ."], "output": "['cake', ['fluffy', 'not', 'creamy', 'light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Finally let into the store 5 at a time , to buy expensive slices from a harried staff ."], "output": "['staff', ['harried']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Finally let into the store 5 at a time , to buy expensive slices from a harried staff ."], "output": "['slices', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We ended up having to just leave because we were essentially being ignored by the wait staff -- even though the rest of the restaurant was largely empty ."], "output": "['wait', ['ignored']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive , well priced and covers alot of regions ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive , well priced and covers alot of regions ."], "output": "['priced', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Go here if you want fresh and tasty salads of any type you can imagine ."], "output": "['salads', ['fresh', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything about this place is adorable - even the bathroom !"], "output": "['bathroom', ['adorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Speedy delivers , great food , decent prices , and friendly service combine to ensure an enjoyable repast ."], "output": "['delivers', ['Speedy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Speedy delivers , great food , decent prices , and friendly service combine to ensure an enjoyable repast ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Speedy delivers , great food , decent prices , and friendly service combine to ensure an enjoyable repast ."], "output": "['prices', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Speedy delivers , great food , decent prices , and friendly service combine to ensure an enjoyable repast ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Speedy delivers , great food , decent prices , and friendly service combine to ensure an enjoyable repast ."], "output": "['repast', ['enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["IT WAS OUR ONLY OPPORTUNITY TO VISIT AND WANTED AN AUTHENTIC ITALIAN MEAL ."], "output": "['ITALIAN', ['AUTHENTIC']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It took 100 years for Parisi to get around to making pizza ( at least I do n't think they ever made it before this year ) ... but it was worth the wait ."], "output": "['pizza', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I asked for a simple medium rare steak ."], "output": "['steak', ['simple', 'medium', 'rare']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Generously garnished , organic grilled burgers are the most popular dish , but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets , goat cheese and walnuts -- are equally scrumptious ."], "output": "['organic', ['Generously', 'popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Generously garnished , organic grilled burgers are the most popular dish , but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets , goat cheese and walnuts -- are equally scrumptious ."], "output": "['dish', ['popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Generously garnished , organic grilled burgers are the most popular dish , but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets , goat cheese and walnuts -- are equally scrumptious ."], "output": "['Jerusalem', ['equally']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Generously garnished , organic grilled burgers are the most popular dish , but the Jerusalem market-style falafel wraps and Mediterranean salads -- layered with beets , goat cheese and walnuts -- are equally scrumptious ."], "output": "['Mediterranean', ['equally']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Probably my worst dining experience in new york , and I 'm a former waiter so I know what I 'm talking about ."], "output": "['dining', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Result ( red velvet ) : Great texture , soft and velvety , nice hint of cocoa ."], "output": "['texture', ['Great', 'soft', 'velvety']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Result ( red velvet ) : Great texture , soft and velvety , nice hint of cocoa ."], "output": "['hint', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Their twist on pizza is healthy , but full of flavor ."], "output": "['flavor', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Their twist on pizza is healthy , but full of flavor ."], "output": "['twist', ['healthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lack of AC and the fact that there are a million swarming bodies ( although everyone is polite and no one is pushing ) is a slight turn off ."], "output": "['AC', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the Little Pie Company as much as anyone else who has written reviews , but must discourage anyone from visiting the Grand Central location due to their RUDE service from two sales people ."], "output": "['service', ['RUDE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the Little Pie Company as much as anyone else who has written reviews , but must discourage anyone from visiting the Grand Central location due to their RUDE service from two sales people ."], "output": "['sales', ['RUDE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Unfortunately , unless you live in the neighborhood , it 's not in a convenient location but is more like a hidden treasure ."], "output": "['location', ['convenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food -- though mostly deep-fried -- is simple and satisfying ."], "output": "['food', ['simple', 'satisfying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Glechik might be way too tiny for a restaurant by Russian standards , but it is cozy and the food is simply GREAT ."], "output": "['food', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent - authentic Italian cuisine made absolutely fresh ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent - authentic Italian cuisine made absolutely fresh ."], "output": "['Italian', ['authentic', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["At night the atmoshere changes turning into this hidden jewel that is waiting to be discovered ."], "output": "['atmoshere', ['changes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The other times I 've gone it 's romantic date heaven , you can walk in get a booth by the windows , be treated like a VIP in a not-crowded place , with great food and service ."], "output": "['place', ['not-crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The other times I 've gone it 's romantic date heaven , you can walk in get a booth by the windows , be treated like a VIP in a not-crowded place , with great food and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The other times I 've gone it 's romantic date heaven , you can walk in get a booth by the windows , be treated like a VIP in a not-crowded place , with great food and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I would only go for the coffee which is way better than Starbucks or the like ."], "output": "['coffee', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Somewhat disappointing wine list ( only new vintages ."], "output": "['wine', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be ! !"], "output": "['priced', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be ! !"], "output": "['food', ['nasty', 'high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["new hamburger with special sauce is ok - at least better than big mac !"], "output": "['new', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["new hamburger with special sauce is ok - at least better than big mac !"], "output": "['big', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Perfectly al dente pasta , not drowned in sauce -- generous portions ."], "output": "['pasta', ['Perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Perfectly al dente pasta , not drowned in sauce -- generous portions ."], "output": "['sauce', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Perfectly al dente pasta , not drowned in sauce -- generous portions ."], "output": "['portions', ['generous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was awful - mostly because staff were overwhelmed on a Saturday night ."], "output": "['Service', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was awful - mostly because staff were overwhelmed on a Saturday night ."], "output": "['staff', ['overwhelmed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["To the owners ; good job guys , this place is a keeper !"], "output": "['owners', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["and the owner is simply lovely and friendly ."], "output": "['owner', ['lovely', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This little place is wonderfully warm welcoming ."], "output": "['place', ['wonderfully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["perfect for a quick meal ."], "output": "['meal', ['perfect', 'quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Has the warmth of a family local yet it is a great place to watch sporting events ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was great , and they have a whole great deal for birthdays ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is 100 % Italian and the food is as authentic as it gets ."], "output": "['food', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My only complaint might be the fortune cookies - I 've never had a cookie predict bad luck for me before I visited Kar ."], "output": "['fortune', ['complaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good for a quick sushi lunch ."], "output": "['sushi', ['Good', 'quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was dreadfully slow ( the place was only half full ) and a smile would have been nice ..."], "output": "['service', ['dreadfully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I went this past Saturday and had a excellent meal of consisting of a braised lamb shank with mashed potatoes ."], "output": "['meal', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I reccomend the fried pork dumplings , the orange chicken/beef , and the fried rice ."], "output": "['fried', ['reccomend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I reccomend the fried pork dumplings , the orange chicken/beef , and the fried rice ."], "output": "['orange', ['reccomend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I reccomend the fried pork dumplings , the orange chicken/beef , and the fried rice ."], "output": "['fried', ['reccomend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You will not be dissapointed by any of the choices in the menu ."], "output": "['menu', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The french fries -- with the kalmata dip were terrific !"], "output": "['french', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The boutique selection of wines covers a wide variety without being imposeing ."], "output": "['boutique', ['wide']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They also have a great assortment of wraps if your not in the mood for traditional Mediterranean fare ."], "output": "['assortment', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They also have a great assortment of wraps if your not in the mood for traditional Mediterranean fare ."], "output": "['traditional', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['Fresh', ['Fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['middle', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['cheese', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['falafel', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['soup', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['fish', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['rice', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['root', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['rice', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['spinach', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['lamb', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['cheese', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious ."], "output": "['fooood', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Disappointingly , their wonderful Saketini has been taken off the bar menu ."], "output": "['Saketini', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Disappointingly , their wonderful Saketini has been taken off the bar menu ."], "output": "['bar', ['Disappointingly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I would definitely go back -- if only for some of those exotic martinis on the blackboard ."], "output": "['martinis', ['exotic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The happy hour is so cheap , but that does not reflect the service or the atmosphere ."], "output": "['happy', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["After waiting for almost an hour , the waiter brusquely told us he 'd forgotten to give the kitchen our order ."], "output": "['waiter', ['brusquely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step above in quaility and atmosphere ."], "output": "['quaility', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["With all the mundane or mediocre places on 8th avenue it is nice to have one that is a step above in quaility and atmosphere ."], "output": "['atmosphere', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A mix of students and area residents crowd into this narrow , barely there space for its quick , tasty treats at dirt-cheap prices ."], "output": "['space', ['quick', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A mix of students and area residents crowd into this narrow , barely there space for its quick , tasty treats at dirt-cheap prices ."], "output": "['prices', ['dirt-cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A mix of students and area residents crowd into this narrow , barely there space for its quick , tasty treats at dirt-cheap prices ."], "output": "['treats', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Give it a try , menu is typical French but varied ."], "output": "['menu', ['typical', 'varied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It gets crowded at lunchtime but there are lots of seats in back and everyone who works there is so nice ."], "output": "['seats', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they ca n't compete with Temple 's entire positive attitude about the proper way to treat their customers and deliver top quality food ."], "output": "['food', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the negative reviews on city search are probably from jealous competing restaurants who realize they ca n't compete with Temple 's entire positive attitude about the proper way to treat their customers and deliver top quality food ."], "output": "['attitude', ['positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Overall , this is a nice place to take a few friends to hang out at and the service is excellent ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Overall , this is a nice place to take a few friends to hang out at and the service is excellent ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is excellent quality for a good restaurant price ."], "output": "['Food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is excellent quality for a good restaurant price ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["for about eleven bucks you get a gigantic burrito ( or tacos ) , margarita , and dessert ."], "output": "['burrito', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["for about eleven bucks you get a gigantic burrito ( or tacos ) , margarita , and dessert ."], "output": "['tacos', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The space is traditional in feel ."], "output": "['space', ['traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining ."], "output": "['interior', ['small', 'average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food was mediocre to be kind - the interior is small and average - the owners are a tag-team of unpleasantries - so rude and snotty i actually let out a hearty guffaw whilst dining ."], "output": "['owners', ['unpleasantries', 'rude', 'snotty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good service , great food , good value , and never have to wait in line !"], "output": "['service', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good service , great food , good value , and never have to wait in line !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good service , great food , good value , and never have to wait in line !"], "output": "['value', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good service , great food , good value , and never have to wait in line !"], "output": "['wait', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast ."], "output": "['Egg', ['available']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Offerings like hot cakes and the Egg McMuffin sandwich are available for breakfast ."], "output": "['hot', ['available']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have been going to this restaurant for years , in the past the service was average and the food inconsistant ."], "output": "['service', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have been going to this restaurant for years , in the past the service was average and the food inconsistant ."], "output": "['food', ['inconsistant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music was fascinating , but left room for conversation , and the bartender made superb drinks ."], "output": "['music', ['fascinating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music was fascinating , but left room for conversation , and the bartender made superb drinks ."], "output": "['bartender', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music was fascinating , but left room for conversation , and the bartender made superb drinks ."], "output": "['drinks', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["rice dishes and noodle dishes rarely exceed $ 5 and add on a refreshing ice drink for $ 2 and you 're set for the night !"], "output": "['ice', ['refreshing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu ."], "output": "['dishes', ['Creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu ."], "output": "['king', ['Creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu ."], "output": "['fettuccine', ['unexpected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creative dishes like king crab salad with passion fruit vinaigrette and fettuccine with grilled seafood in a rosemary-orange sauce are unexpected elements on an otherwise predictable bistro menu ."], "output": "['bistro', ['unexpected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dishes denoted as `` Roy 's Classics '' ( marked on the menu with asterisks ) are tried-and-true recipes , such as macadamia-crusted mahi mahi , or subtly sweet honey-mustard beef short ribs ."], "output": "['Dishes', ['tried-and-true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dishes denoted as `` Roy 's Classics '' ( marked on the menu with asterisks ) are tried-and-true recipes , such as macadamia-crusted mahi mahi , or subtly sweet honey-mustard beef short ribs ."], "output": "['``', ['tried-and-true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dishes denoted as `` Roy 's Classics '' ( marked on the menu with asterisks ) are tried-and-true recipes , such as macadamia-crusted mahi mahi , or subtly sweet honey-mustard beef short ribs ."], "output": "['recipes', ['tried-and-true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dishes denoted as `` Roy 's Classics '' ( marked on the menu with asterisks ) are tried-and-true recipes , such as macadamia-crusted mahi mahi , or subtly sweet honey-mustard beef short ribs ."], "output": "['macadamia-crusted', ['tried-and-true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dishes denoted as `` Roy 's Classics '' ( marked on the menu with asterisks ) are tried-and-true recipes , such as macadamia-crusted mahi mahi , or subtly sweet honey-mustard beef short ribs ."], "output": "['sweet', ['tried-and-true', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The cold sesame noodles , which are a freebie when you order $ 10+ , are delectable ."], "output": "['cold', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I came to fresh expecting a great meal , and all I got was marginally so-so food served in a restaurant that was just so freezing we could n't enjoy eating ."], "output": "['food', ['marginally']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lone argentine chorizo appetizer at $ 8.95 was a heavy fennel flavored Italian sausage like the ones that sell for $ 2.99/lb at the store ."], "output": "['fennel', ['heavy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I went to Swiftys with some friends of the family and we had a very nice dinner , but nothing amazing ."], "output": "['dinner', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Chinese on the Upper East , prompt delivery , good value ."], "output": "['delivery', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Chinese on the Upper East , prompt delivery , good value ."], "output": "['value', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Most of the sandwiches are made with soy mayonaise which is actually pretty good ."], "output": "['sandwiches', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i went in one day asking for a table for a group and was greeted by a very rude hostess ."], "output": "['hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's worthwhile to take a cab to Chelsea just for an awesome dinner at My Chelsea ."], "output": "['dinner', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only is the food authentic , but the staff here are practically off-the-boat , they are young and hip and know what they are doing when it comes to food and wine ."], "output": "['food', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only is the food authentic , but the staff here are practically off-the-boat , they are young and hip and know what they are doing when it comes to food and wine ."], "output": "['staff', ['off-the-boat', 'young', 'hip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has good music , nice tapas , an interesting selection of wines ( primarily Spanish ) and a lowkey hip neighborhood clientele ."], "output": "['music', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has good music , nice tapas , an interesting selection of wines ( primarily Spanish ) and a lowkey hip neighborhood clientele ."], "output": "['tapas', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has good music , nice tapas , an interesting selection of wines ( primarily Spanish ) and a lowkey hip neighborhood clientele ."], "output": "['selection', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has good music , nice tapas , an interesting selection of wines ( primarily Spanish ) and a lowkey hip neighborhood clientele ."], "output": "['clientele', ['lowkey', 'hip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great , I love their dumplings , cold sesame noodles , chicken and shrimp dishs ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great , I love their dumplings , cold sesame noodles , chicken and shrimp dishs ."], "output": "['dumplings', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great , I love their dumplings , cold sesame noodles , chicken and shrimp dishs ."], "output": "['cold', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great , I love their dumplings , cold sesame noodles , chicken and shrimp dishs ."], "output": "['chicken', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great , I love their dumplings , cold sesame noodles , chicken and shrimp dishs ."], "output": "['shrimp', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's the conversations that make this a fun place to be ."], "output": "['place', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My gf 's duck confitte was very solid as well , although i have little base of reference ."], "output": "['duck', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list was superb , our tapas delightful , and the quiet atmosphere perfect for good conversation ."], "output": "['wine', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list was superb , our tapas delightful , and the quiet atmosphere perfect for good conversation ."], "output": "['tapas', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list was superb , our tapas delightful , and the quiet atmosphere perfect for good conversation ."], "output": "['atmosphere', ['quiet', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You can eat gourmet food at a fast food price ."], "output": "['food', ['gourmet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've eaten at all three locations and I always love , love the food , the service is always wonderful and the prices are really reasonable ."], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've eaten at all three locations and I always love , love the food , the service is always wonderful and the prices are really reasonable ."], "output": "['service', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've eaten at all three locations and I always love , love the food , the service is always wonderful and the prices are really reasonable ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not because I was pregnant , but the food here is always delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had a great meal there this weekend before heading to the movies !"], "output": "['meal', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We had a birthday party here recently and the food and service was amazing ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We had a birthday party here recently and the food and service was amazing ."], "output": "['service', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the dinner menu offers a variety of great entrees , including fresh seafood and huge steaks , there 's also a couple of non-meat alternatives ."], "output": "['dinner', ['variety', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the dinner menu offers a variety of great entrees , including fresh seafood and huge steaks , there 's also a couple of non-meat alternatives ."], "output": "['entrees', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the dinner menu offers a variety of great entrees , including fresh seafood and huge steaks , there 's also a couple of non-meat alternatives ."], "output": "['seafood', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the dinner menu offers a variety of great entrees , including fresh seafood and huge steaks , there 's also a couple of non-meat alternatives ."], "output": "['steaks', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has the strangest menu and the restaurants tries too hard to make fancy food ."], "output": "['menu', ['strangest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has the strangest menu and the restaurants tries too hard to make fancy food ."], "output": "['food', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The appetizers are ok , but the service is slow ."], "output": "['appetizers', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The appetizers are ok , but the service is slow ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food - not worth the price ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food - not worth the price ."], "output": "['price', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What can you say about a place where the waitress brings out the wrong entree , then verbally assaults your 80 year old grandmother and gives her lip about sending it back ( which she did politely , by the way ) ."], "output": "['entree', ['wrong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The prices are not terrible ."], "output": "['prices', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The halibut cheek appetizer came with a generous portion of foie gras , but that 's about the only positive thing I can say about the meal ."], "output": "['halibut', ['positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The halibut cheek appetizer came with a generous portion of foie gras , but that 's about the only positive thing I can say about the meal ."], "output": "['portion', ['generous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack ."], "output": "['Food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack ."], "output": "['empenadas', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack ."], "output": "['plaintains', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food is excellent and they also have empenadas and plaintains which are good for an afternoon snack ."], "output": "['afternoon', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Both a number of the appetizer and pasta specials were amazing ."], "output": "['pasta', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Both a number of the appetizer and pasta specials were amazing ."], "output": "['appetizer', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All-time favorites include the Big Mac , Chicken McNuggets , Filet-O-Fish sandwich and McDonald 's famous french fries ; lighter options like entree-sized salads are also available ."], "output": "['Big', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All-time favorites include the Big Mac , Chicken McNuggets , Filet-O-Fish sandwich and McDonald 's famous french fries ; lighter options like entree-sized salads are also available ."], "output": "['Chicken', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All-time favorites include the Big Mac , Chicken McNuggets , Filet-O-Fish sandwich and McDonald 's famous french fries ; lighter options like entree-sized salads are also available ."], "output": "['Filet-O-Fish', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All-time favorites include the Big Mac , Chicken McNuggets , Filet-O-Fish sandwich and McDonald 's famous french fries ; lighter options like entree-sized salads are also available ."], "output": "['McDonald', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All-time favorites include the Big Mac , Chicken McNuggets , Filet-O-Fish sandwich and McDonald 's famous french fries ; lighter options like entree-sized salads are also available ."], "output": "['entree-sized', ['lighter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although somewhat loud , the noise was minimally intrusive ."], "output": "['noise', ['loud', 'minimally']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a basic pizza joint , not much to look at , but the pizza is what I go for ."], "output": "['pizza', ['go']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Tables are close , so you better be comfortable bumping elbows with other patrons ."], "output": "['Tables', ['close']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not too much so , but enough that there 's a great scene ."], "output": "['scene', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Meat-phobes are in luck with the extraordinary veggie burger , made from a distinctive blend of chickpeas , carrots and other vegetables and spices ."], "output": "['veggie', ['extraordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Meat-phobes are in luck with the extraordinary veggie burger , made from a distinctive blend of chickpeas , carrots and other vegetables and spices ."], "output": "['chickpeas', ['distinctive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Meat-phobes are in luck with the extraordinary veggie burger , made from a distinctive blend of chickpeas , carrots and other vegetables and spices ."], "output": "['carrots', ['distinctive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Meat-phobes are in luck with the extraordinary veggie burger , made from a distinctive blend of chickpeas , carrots and other vegetables and spices ."], "output": "['vegetables', ['distinctive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Meat-phobes are in luck with the extraordinary veggie burger , made from a distinctive blend of chickpeas , carrots and other vegetables and spices ."], "output": "['spices', ['distinctive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["At peak times , the restaurant is overcrowded and tables are uncomfortably close ."], "output": "['tables', ['uncomfortably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was on point - what else you would expect from a Ritz ?"], "output": "['service', ['on']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Menus feature seasonal picks , like sweet corn-foie gras brulee ."], "output": "['Menus', ['seasonal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Innovations are just as assured , from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon , beautifully matched with a bright green spinach-vodka sauce ."], "output": "['Carinthia', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Innovations are just as assured , from the simple Carinthia cheese ravioli with wild mushrooms to the caviar-topped sturgeon , beautifully matched with a bright green spinach-vodka sauce ."], "output": "['green', ['bright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And these are not small , wimpy fast food type burgers - these are real , full sized patties ."], "output": "['burgers', ['small', 'wimpy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And these are not small , wimpy fast food type burgers - these are real , full sized patties ."], "output": "['patties', ['real', 'full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There restaurant is very casual , but perfect for lunch , and their delivery service is always very fast ."], "output": "['lunch', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There restaurant is very casual , but perfect for lunch , and their delivery service is always very fast ."], "output": "['delivery', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Chinatown definitely has better quality with cheaper prices ."], "output": "['quality', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Chinatown definitely has better quality with cheaper prices ."], "output": "['prices', ['cheaper']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Go with the specials , and stay away from the salmon ."], "output": "['specials', ['Go']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Go with the specials , and stay away from the salmon ."], "output": "['salmon', ['stay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pastas were pretty good ."], "output": "['pastas', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Atmosphere is a bore ."], "output": "['Atmosphere', ['bore']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wait staff was very attentive and polite ."], "output": "['wait', ['attentive', 'polite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great restaurant , and even greater food !"], "output": "['food', ['greater']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The dishes are remarkably tasty and such a cozy and intimate place !"], "output": "['dishes', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The dishes are remarkably tasty and such a cozy and intimate place !"], "output": "['place', ['cozy', 'intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the simplicity and respect which was given to the food , as well the staff was freindly and knowledgable ."], "output": "['food', ['love', 'simplicity', 'respect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the simplicity and respect which was given to the food , as well the staff was freindly and knowledgable ."], "output": "['staff', ['love', 'freindly', 'knowledgable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was good and so was the atmosphere ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was good and so was the atmosphere ."], "output": "['atmosphere', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["MY date and I both ordered the Branzini and both felt the fish was very average ."], "output": "['Branzini', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["MY date and I both ordered the Branzini and both felt the fish was very average ."], "output": "['fish', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the service prompt , and the price very reasonable ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the service prompt , and the price very reasonable ."], "output": "['service', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the service prompt , and the price very reasonable ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Wonderful menu , warm inviting ambiance , great service the FOOD keeps me coming back !"], "output": "['menu', ['Wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Wonderful menu , warm inviting ambiance , great service the FOOD keeps me coming back !"], "output": "['ambiance', ['warm', 'inviting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Wonderful menu , warm inviting ambiance , great service the FOOD keeps me coming back !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , good wine and an excellent host ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , good wine and an excellent host ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , good wine and an excellent host ."], "output": "['host', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Pizzas were excellent in addition to appetizers and main courses ."], "output": "['Pizzas', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Definitely try the calamari , any pasta , or even the Sliced steak entree ."], "output": "['calamari', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Definitely try the calamari , any pasta , or even the Sliced steak entree ."], "output": "['pasta', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Definitely try the calamari , any pasta , or even the Sliced steak entree ."], "output": "['Sliced', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The caeser salad was great ."], "output": "['caeser', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The fried calamari was even better !"], "output": "['fried', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was nice but it was a little too dark ."], "output": "['atmosphere', ['nice', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was good overall ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was outstanding and the service was tops ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was outstanding and the service was tops ."], "output": "['service', ['tops']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The portions are very large and the service is fantastic ! !"], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The portions are very large and the service is fantastic ! !"], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I recomend the chicken milanese ."], "output": "['chicken', ['recomend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["excellent tapas at great prices , romantic , small but not overly crowed , excellent"], "output": "['tapas', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["excellent tapas at great prices , romantic , small but not overly crowed , excellent"], "output": "['prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is a quite slow , but friendly ."], "output": "['service', ['slow', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chocolate raspberry cake is heavenly -- not too sweet , but full of flavor ."], "output": "['chocolate', ['heavenly', 'not', 'full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chocolate raspberry cake is heavenly -- not too sweet , but full of flavor ."], "output": "['flavor', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waiter was helpful and charming , the food was perfect , and the wine was good , too ."], "output": "['waiter', ['helpful', 'charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waiter was helpful and charming , the food was perfect , and the wine was good , too ."], "output": "['food', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waiter was helpful and charming , the food was perfect , and the wine was good , too ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best hot dogs in the tri-state area ."], "output": "['hot', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was very attentive and very generous ."], "output": "['service', ['attentive', 'generous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We had tons of great food , wine , and desserts ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We had tons of great food , wine , and desserts ."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We had tons of great food , wine , and desserts ."], "output": "['desserts', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Really Lovely dining experience in the midst of buzzing midtown area ."], "output": "['dining', ['Lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food really is n't very good and the service is terrible ."], "output": "['food', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food really is n't very good and the service is terrible ."], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only do they have the best escargot in town , they always try to accomodate our toddler ."], "output": "['escargot', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Deco and ambiance was really romantic ."], "output": "['Deco', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Deco and ambiance was really romantic ."], "output": "['ambiance', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Just go in and sample the greatest french food west of Daniel ."], "output": "['french', ['greatest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Finally a curry that I can eat , enjoy and not suffer from gastritis from 3 hours later ."], "output": "['curry', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All are GREAT - poori , naan , paratha all FRESH ."], "output": "['poori', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All are GREAT - poori , naan , paratha all FRESH ."], "output": "['naan', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All are GREAT - poori , naan , paratha all FRESH ."], "output": "['paratha', ['FRESH']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the homemade breads ."], "output": "['homemade', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has beautiful sushi , and it 's delicious CHEAP ."], "output": "['sushi', ['beautiful', 'delicious', 'CHEAP']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It also has lots of other Korean dishes that are affordable and just as yummy ."], "output": "['Korean', ['affordable', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only was the waiter efficient and courteous , but also extremely helpful ."], "output": "['waiter', ['efficient', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is classy , chic , the service is warm and hospitable , and the food is outstanding ."], "output": "['place', ['classy', 'chic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is classy , chic , the service is warm and hospitable , and the food is outstanding ."], "output": "['service', ['warm', 'hospitable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is classy , chic , the service is warm and hospitable , and the food is outstanding ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great burgers , grilled cheeses and french fries ."], "output": "['burgers', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great burgers , grilled cheeses and french fries ."], "output": "['grilled', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great burgers , grilled cheeses and french fries ."], "output": "['french', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Yellowfin Tuna and Calf 's liver are my favorites !"], "output": "['Yellowfin', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Yellowfin Tuna and Calf 's liver are my favorites !"], "output": "['Calf', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sushi so fresh that it crunches in your mouth ."], "output": "['Sushi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But make sure you have enough room on your credit card as the bill will leave a big dent in your wallet ."], "output": "['bill', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only was the sushi fresh , they also served other entrees allowed each guest something to choose from and we all left happy ( try the duck !"], "output": "['sushi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only was the sushi fresh , they also served other entrees allowed each guest something to choose from and we all left happy ( try the duck !"], "output": "['duck', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good variety but nothing surprising ."], "output": "['variety', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No green beans , no egg , no anchovy dressing , no nicoise olives , no red onion ."], "output": "['green', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No green beans , no egg , no anchovy dressing , no nicoise olives , no red onion ."], "output": "['egg', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No green beans , no egg , no anchovy dressing , no nicoise olives , no red onion ."], "output": "['anchovy', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No green beans , no egg , no anchovy dressing , no nicoise olives , no red onion ."], "output": "['nicoise', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["No green beans , no egg , no anchovy dressing , no nicoise olives , no red onion ."], "output": "['red', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Thick fries , meaty chili and stuffed baked potatoes round out a menu that includes a cool , ultra-thick chocolate Frosty ."], "output": "['fries', ['Thick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Thick fries , meaty chili and stuffed baked potatoes round out a menu that includes a cool , ultra-thick chocolate Frosty ."], "output": "['chocolate', ['cool', 'ultra-thick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good cake BUT : it was not the best cake i 've ever had , and definately not worth standing outside on the sidewalk being herded like cattle by indifferent and overworked employees ."], "output": "['cake', ['Good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The homage to India is most evident in the delectable roti canai appetizer , a fried pancake served with pungent curry dipping sauce , while the mango chicken offers a surprisingly sophisticated , fresh take on sweet-and-sour ."], "output": "['roti', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The homage to India is most evident in the delectable roti canai appetizer , a fried pancake served with pungent curry dipping sauce , while the mango chicken offers a surprisingly sophisticated , fresh take on sweet-and-sour ."], "output": "['mango', ['surprisingly', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thin ."], "output": "['ground', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The ground chickpea soup we sampled as a starter tasted somewhat thin ."], "output": "['starter', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service , however , is a peg or two below the quality of food ( horrible bartenders ) , and the clientele , for the most part , are rowdy , loud-mouthed commuters ( this could explain the bad attitudes from the staff ) getting loaded for an AC/DC concert or a Knicks game ."], "output": "['service', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service , however , is a peg or two below the quality of food ( horrible bartenders ) , and the clientele , for the most part , are rowdy , loud-mouthed commuters ( this could explain the bad attitudes from the staff ) getting loaded for an AC/DC concert or a Knicks game ."], "output": "['bartenders', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service , however , is a peg or two below the quality of food ( horrible bartenders ) , and the clientele , for the most part , are rowdy , loud-mouthed commuters ( this could explain the bad attitudes from the staff ) getting loaded for an AC/DC concert or a Knicks game ."], "output": "['clientele', ['rowdy', 'loud-mouthed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service , however , is a peg or two below the quality of food ( horrible bartenders ) , and the clientele , for the most part , are rowdy , loud-mouthed commuters ( this could explain the bad attitudes from the staff ) getting loaded for an AC/DC concert or a Knicks game ."], "output": "['staff', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're in the neighborhood , definitely stop by for a great meal ."], "output": "['meal', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although small , it has beautiful ambience , excellent food ( the catfish is delicious - if ya do n't mind it a lil salty ) and attentive service ."], "output": "['ambience', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although small , it has beautiful ambience , excellent food ( the catfish is delicious - if ya do n't mind it a lil salty ) and attentive service ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although small , it has beautiful ambience , excellent food ( the catfish is delicious - if ya do n't mind it a lil salty ) and attentive service ."], "output": "['catfish', ['delicious', 'salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Although small , it has beautiful ambience , excellent food ( the catfish is delicious - if ya do n't mind it a lil salty ) and attentive service ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Stick to the items the place does best , brisket , ribs , wings , cajun shrimp is good , not great ."], "output": "['brisket', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Stick to the items the place does best , brisket , ribs , wings , cajun shrimp is good , not great ."], "output": "['ribs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Stick to the items the place does best , brisket , ribs , wings , cajun shrimp is good , not great ."], "output": "['wings', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Stick to the items the place does best , brisket , ribs , wings , cajun shrimp is good , not great ."], "output": "['cajun', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Hip boutiques and bars on Ludlow add to the artsy , laid-back atmosphere at this Israeli-style takeout and eat-in burger joint ."], "output": "['atmosphere', ['artsy', 'laid-back']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['menu', ['impressive', 'creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['Japanese', ['modern', 'Westernized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['Foie', ['modern', 'Westernized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['Jap', ['modern', 'Westernized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['spicy', ['modern', 'Westernized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['black', ['modern', 'Westernized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My Chelsea 's impressive and creative menu includes modern , Westernized Japanese dishes such as Foie Gras Unagi Napolean , Jap style hamburger steak , spicy cod roe spaghetti , black cod with miso base , and rack of lamb in black truffle sauce , to name a few ."], "output": "['rack', ['modern', 'Westernized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["His food is excellent ( and not expensive by NYC standards- no entrees over $ 30 , most appetizers $ 12 to 14 ) ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["His food is excellent ( and not expensive by NYC standards- no entrees over $ 30 , most appetizers $ 12 to 14 ) ."], "output": "['appetizers', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is consistant and good but how it got name Best Diner In Manhattan is beyond me ."], "output": "['food', ['consistant', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pasta primavera was outstanding as well , lots of fresh veggies ."], "output": "['pasta', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pasta primavera was outstanding as well , lots of fresh veggies ."], "output": "['fresh', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["do n't get me wrong - sushi was good , just not fantastic ."], "output": "['sushi', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Been to the one in Brooklyn for over 25 years , now I dont have to go over the bridge for the best pizza ... .Hanx"], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had dinner here on a Friday and the food was great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We recently spent New Year 's Eve at the restaurant , and had a great experience , from the wine to the dessert menu ."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We recently spent New Year 's Eve at the restaurant , and had a great experience , from the wine to the dessert menu ."], "output": "['dessert', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Highly recommended ... As stated , I have n't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place ; also , the bar looks nice ."], "output": "['place', ['relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Highly recommended ... As stated , I have n't dined *in* the restaurant but stopped by there to pick up takeout and it seems a very relaxing place ; also , the bar looks nice ."], "output": "['bar', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The ambiance was fine , a little loud but still nice and romantic ."], "output": "['ambiance', ['fine', 'loud', 'nice', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["but , the filet mignon was not very good at all cocktail hour includes free appetizers ( nice non-sushi selection ) ."], "output": "['filet', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["but , the filet mignon was not very good at all cocktail hour includes free appetizers ( nice non-sushi selection ) ."], "output": "['non-sushi', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["but , the filet mignon was not very good at all cocktail hour includes free appetizers ( nice non-sushi selection ) ."], "output": "['appetizers', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Can be a bit busy around peak times because of the size ."], "output": "['size', ['busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was on jury duty , rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade ."], "output": "['chicken', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was on jury duty , rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade ."], "output": "['Hibiscus', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was on jury duty , rode my bike up Centre Street on my lunch break and came across this great little place with awesome chicken tacos and Hibiscus lemonade ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine ."], "output": "['place', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine ."], "output": "['soup', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good place to hang out during the day after shopping or to grab a simple soup or classic french dish over a glass of wine ."], "output": "['french', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very nice touch that very much fits the place ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , there is just something so great about being outdoors , in great landscaping , enjoying a casual drink that makes going to this place worthwhile ."], "output": "['casual', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , there is just something so great about being outdoors , in great landscaping , enjoying a casual drink that makes going to this place worthwhile ."], "output": "['outdoors', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The comments about fried foods is correct ( below ) but the other dishes , including the lamb entree and many of the salads ( avocado shrimp ) were quite good ."], "output": "['dishes', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The comments about fried foods is correct ( below ) but the other dishes , including the lamb entree and many of the salads ( avocado shrimp ) were quite good ."], "output": "['lamb', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The comments about fried foods is correct ( below ) but the other dishes , including the lamb entree and many of the salads ( avocado shrimp ) were quite good ."], "output": "['salads', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Slow service , but when you 're hanging around with groups of 10 or 20 , who really notices ?"], "output": "['service', ['Slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sauce is excellent ( very fresh ) with dabs of real mozzarella ."], "output": "['sauce', ['excellent', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Do n't ever bother - the drinks were awful , but it was the people who work there that really made this the worst experience at dining ."], "output": "['drinks', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Do n't ever bother - the drinks were awful , but it was the people who work there that really made this the worst experience at dining ."], "output": "['people', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Do n't ever bother - the drinks were awful , but it was the people who work there that really made this the worst experience at dining ."], "output": "['dining', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The room is a little plain , but it 's difficult to make such a small place exciting and I would not suggest that as a reason not to go ."], "output": "['room', ['plain']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Prices even outside of restaurant week were great ."], "output": "['Prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A small , outdoor eating area makes for a private , comfortable space to study alone or meet up with friends ."], "output": "['space', ['private', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A small , outdoor eating area makes for a private , comfortable space to study alone or meet up with friends ."], "output": "['outdoor', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And all the [ female ] servers are cute too , which is always nice ."], "output": "['[', ['cute', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The best dessert , a chocolate and peanut butter tart , is n't particularly Hawaiian , but it 's a small world when it comes to sweets ."], "output": "['dessert', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["for an appetizer , their calamari is a winner ."], "output": "['appetizer', ['winner']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["for an appetizer , their calamari is a winner ."], "output": "['calamari', ['winner']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The room is a gorgeous , bi-level space and the long bar perfect for a drink ."], "output": "['room', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The room is a gorgeous , bi-level space and the long bar perfect for a drink ."], "output": "['bi-level', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The room is a gorgeous , bi-level space and the long bar perfect for a drink ."], "output": "['long', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Two complaints- their appetizer selection stinks , it would be nice to get some mozzarella sticks on the menu ."], "output": "['appetizer', ['stinks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was especially impressed during the bday party when the waitstaff went above and beyond in helping me decorate and bring out a bday cake as well as offering prompt and friendly service to a 15 person party ."], "output": "['service', ['prompt', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken and falafel platters were nondescript combinations with fresh leaf salad ."], "output": "['chicken', ['nondescript']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken and falafel platters were nondescript combinations with fresh leaf salad ."], "output": "['fresh', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["several times and put up with the waiters ' bad manners , knowing that their job is n't easy ."], "output": "['waiters', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is great ( maybe even borderline nagging but at least you get attention ) , the desserts are excellent and the coffee is so very good ..."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is great ( maybe even borderline nagging but at least you get attention ) , the desserts are excellent and the coffee is so very good ..."], "output": "['desserts', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is great ( maybe even borderline nagging but at least you get attention ) , the desserts are excellent and the coffee is so very good ..."], "output": "['coffee', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They are served on Focacchia bread and are to die for ."], "output": "['Focacchia', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While the smoothies are a little big for me , the fresh juices are the best I have ever had !"], "output": "['smoothies', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While the smoothies are a little big for me , the fresh juices are the best I have ever had !"], "output": "['fresh', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is just OKAY , and it 's almost not worth going unless you 're getting the pialla , which is the only dish that 's really good ."], "output": "['food', ['OKAY', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is just OKAY , and it 's almost not worth going unless you 're getting the pialla , which is the only dish that 's really good ."], "output": "['pialla', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is just OKAY , and it 's almost not worth going unless you 're getting the pialla , which is the only dish that 's really good ."], "output": "['dish', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The guac is fresh , yet lacking flavor , we like to add our fresh salsa into it ."], "output": "['guac', ['fresh', 'lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The guac is fresh , yet lacking flavor , we like to add our fresh salsa into it ."], "output": "['flavor', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The new menu has a few creative items , they were smart enough to keep some of the old favorites ( but they raised the prices ) , the staff is friendly most of the time , but I must agree with the person that wrote about their favorite words : No , ca n't , sorry ... , boy , they wo n't bend the rules for anyone ."], "output": "['prices', ['raised']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The new menu has a few creative items , they were smart enough to keep some of the old favorites ( but they raised the prices ) , the staff is friendly most of the time , but I must agree with the person that wrote about their favorite words : No , ca n't , sorry ... , boy , they wo n't bend the rules for anyone ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The new menu has a few creative items , they were smart enough to keep some of the old favorites ( but they raised the prices ) , the staff is friendly most of the time , but I must agree with the person that wrote about their favorite words : No , ca n't , sorry ... , boy , they wo n't bend the rules for anyone ."], "output": "['new', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It ' only open for lunch but the food is so good !"], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["How can they survive serving mediocre food at exorbitant prices ? !"], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["How can they survive serving mediocre food at exorbitant prices ? !"], "output": "['prices', ['exorbitant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre and the service was severely slow ."], "output": "['service', ['severely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre and the service was severely slow ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i have eaten here on a different occasion - the food is mediocre for the prices ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter ."], "output": "['waiter', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sweet Irish bartender is always happy and able to bring a smile to my friends a my face ."], "output": "['bartender', ['Sweet', 'happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its good to go there for drinks if you do n't want to get drunk because you 'll be lucky if you can get one drink an hour the service is so bad ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Its good to go there for drinks if you do n't want to get drunk because you 'll be lucky if you can get one drink an hour the service is so bad ."], "output": "['drinks', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Anyway , the owner was fake ."], "output": "['owner', ['fake']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Owner is pleasant and entertaining ."], "output": "['Owner', ['pleasant', 'entertaining']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creamy appetizers -- taramasalata , eggplant salad , and Greek yogurt ( with cuccumber , dill , and garlic ) taste excellent when on warm pitas ."], "output": "['Creamy', ['Creamy', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creamy appetizers -- taramasalata , eggplant salad , and Greek yogurt ( with cuccumber , dill , and garlic ) taste excellent when on warm pitas ."], "output": "['warm', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creamy appetizers -- taramasalata , eggplant salad , and Greek yogurt ( with cuccumber , dill , and garlic ) taste excellent when on warm pitas ."], "output": "['taramasalata', ['Creamy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creamy appetizers -- taramasalata , eggplant salad , and Greek yogurt ( with cuccumber , dill , and garlic ) taste excellent when on warm pitas ."], "output": "['eggplant', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Creamy appetizers -- taramasalata , eggplant salad , and Greek yogurt ( with cuccumber , dill , and garlic ) taste excellent when on warm pitas ."], "output": "['Greek', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Love Al Di La"], "output": "['Al', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I recommend this place to everyone ."], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['pastas', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['risottos', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['sepia', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "['braised', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food here was mediocre at best ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was totally overpriced - fish and chips was about $ 15 ... ."], "output": "['fish', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Tasty Dog !"], "output": "['Dog', ['Tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["An awesome organic dog , and a conscious eco friendly establishment ."], "output": "['dog', ['organic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["An awesome organic dog , and a conscious eco friendly establishment ."], "output": "['establishment', ['eco']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the best pork souvlaki I ever had is the main thing ."], "output": "['pork', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Super YUMMY Pizza !"], "output": "['Pizza', ['YUMMY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was visiting New York City with a friend and we discovered this really warm and inviting restaurant ."], "output": "['restaurant', ['inviting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I LOOOVE their eggplant pizza , as well as their pastas !"], "output": "['eggplant', ['LOOOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I LOOOVE their eggplant pizza , as well as their pastas !"], "output": "['pastas', ['LOOOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We had half/half pizza , mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza !"], "output": "['half/half', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent food , although the interior could use some help ."], "output": "['food', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent food , although the interior could use some help ."], "output": "['interior', ['help']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I paid just about $ 60 for a good meal , though : )"], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great sake !"], "output": "['sake', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Reliable , Fresh Sushi"], "output": "['Sushi', ['Reliable', 'Fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sashimi is always fresh and the rolls are innovative and delicious ."], "output": "['sashimi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sashimi is always fresh and the rolls are innovative and delicious ."], "output": "['rolls', ['innovative', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Have never had a problem with service save a missing rice once ."], "output": "['service', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Delivery can be spot on or lacking depending on the weather and the day of the week ."], "output": "['Delivery', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Delivery guy sometimes get upset if you do n't tip more than 10 % ."], "output": "['Delivery', ['upset']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best . Sushi . Ever ."], "output": "['Sushi', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has ruined me for neighborhood sushi ."], "output": "['sushi', ['ruined']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent sashimi , and the millennium roll is beyond delicious ."], "output": "['sashimi', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent sashimi , and the millennium roll is beyond delicious ."], "output": "['millennium', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place is a bit hidden away , but once you get there , it 's all worth it ."], "output": "['place', ['hidden', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive , the food was delicious and the views of the city were great ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive , the food was delicious and the views of the city were great ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive , the food was delicious and the views of the city were great ."], "output": "['views', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great place to relax and enjoy your dinner"], "output": "['place', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good food : my favorite is the seafood spaghetti ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good food : my favorite is the seafood spaghetti ."], "output": "['seafood', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent food for great prices"], "output": "['food', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wait staff is very courteous and accomodating ."], "output": "['wait', ['courteous', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The space is limited so be prepared to wait up to 45 minutes - 1 hour , but be richly rewarded when you savor the delicious indo-chinese food ."], "output": "['space', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The space is limited so be prepared to wait up to 45 minutes - 1 hour , but be richly rewarded when you savor the delicious indo-chinese food ."], "output": "['indo-chinese', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["my favorite place lol"], "output": "['place', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i love their chicken pasta cant remember the name but is sooo good"], "output": "['chicken', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["im not necessarily fanatical about this place , but it was a fun time for low pirces ."], "output": "['place', ['fanatical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["lobster was good , nothing spectacular ."], "output": "['lobster', ['good', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["its just a fun place to go , not a five star restaraunt ."], "output": "['restaraunt', ['five']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I think the pizza is so overrated and was under cooked ."], "output": "['pizza', ['overrated', 'under']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had no flavor and the staff is rude and not attentive ."], "output": "['staff', ['rude', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love this place"], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was quick and friendly ."], "output": "['service', ['quick', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I thought the restaurant was nice and clean ."], "output": "['restaurant', ['nice', 'clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I ordered the vitello alla marsala and I was pretty impressed ."], "output": "['vitello', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The veal and the mushrooms were cooked perfectly ."], "output": "['veal', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The veal and the mushrooms were cooked perfectly ."], "output": "['mushrooms', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The potato balls were not dry at all ... in fact it was buttery ."], "output": "['potato', ['not', 'buttery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["WORST PLACE ON SMITH STREET IN BROOKLYN"], "output": "['PLACE', ['WORST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['bartender', ['immature']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['service', ['slowwwww']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "['waitresses', ['werent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I would never recommend this place to anybody even for a casual dinner ."], "output": "['place', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food is always fresh ..."], "output": "['food', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["overpriced japanese food with mediocre service"], "output": "['japanese', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["overpriced japanese food with mediocre service"], "output": "['service', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["food was luke warm ."], "output": "['food', ['luke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waitress was not attentive at all ."], "output": "['waitress', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent as well as service , however , I left The Four Seasons very dissappointed ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent as well as service , however , I left The Four Seasons very dissappointed ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was excellent as well as service , however , I left The Four Seasons very dissappointed ."], "output": "['The', ['dissappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Red Dragon Roll - my favorite thing to eat , of any food group - hands down"], "output": "['Red', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Seafood Dynamite is also otherworldly ."], "output": "['Seafood', ['otherworldly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Favorite Sushi in NYC"], "output": "['Sushi', ['Favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["An unpretentious spot in Park Slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "['spot', ['unpretentious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["An unpretentious spot in Park Slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["An unpretentious spot in Park Slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "['service', ['pleasant', 'effective', 'unassuming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In the summer months , the back garden area is really nice ."], "output": "['back', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food ."], "output": "['rolls', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food ."], "output": "['japanese', ['inventive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Dancing , White River and Millenium rolls are musts ."], "output": "['Dancing', ['musts']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I CAN EAT HERE EVERY DAY OF THE WEEK REALLY LOL LOVE THIS PLACE ... )"], "output": "['PLACE', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Gross food \u2013 Wow-"], "output": "['food', ['Gross']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And $ 11 for a plate of bland guacamole ?"], "output": "['guacamole', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Oh , and I never write reviews -- I just was so moved by how bad this place was , I felt it was my duty to spread the word ."], "output": "['place', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Indian Food !"], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the place was clean and affordable ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was good , the place was clean and affordable ."], "output": "['place', ['clean', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I noticed alot of indian people eatting there which is a great sign for an indian place !"], "output": "['indian', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is one of my favorite spot , very relaxing the food is great all the times , celebrated my engagement and my wedding here , it was very well organized ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is very good ."], "output": "['staff', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Love their drink menu ."], "output": "['drink', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend this beautiful place ."], "output": "['place', ['recommend', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice view of river and NYC ."], "output": "['view', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great survice"], "output": "['survice', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A beautifully designed dreamy Egyptian restaurant that gets sceney at night ."], "output": "['Egyptian', ['dreamy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Watch the talented belly dancers as you enjoy delicious baba ganoush that 's more lemony than smoky ."], "output": "['baba', ['enjoy', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Watch the talented belly dancers as you enjoy delicious baba ganoush that 's more lemony than smoky ."], "output": "['belly', ['talented']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Raymond the bartender rocks !"], "output": "['Raymond', ['rocks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Pacifico is a great place to casually hang out ."], "output": "['Pacifico', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The drinks are great , especially when made by Raymond ."], "output": "['drinks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The drinks are great , especially when made by Raymond ."], "output": "['Raymond', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The omlette for brunch is great ..."], "output": "['omlette', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the spinach is fresh , definately not frozen ..."], "output": "['spinach', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["quacamole at pacifico is yummy , as are the wings with chimmichuri ."], "output": "['quacamole', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["quacamole at pacifico is yummy , as are the wings with chimmichuri ."], "output": "['wings', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A weakness is the chicken in the salads ."], "output": "['chicken', ['weakness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also , I personally was n't a fan of the portobello and asparagus mole ."], "output": "['portobello', ['fan']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Overall , decent food at a good price , with friendly people ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Overall , decent food at a good price , with friendly people ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Indian Restaurant in the City"], "output": "['Indian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Decor needs to be upgraded but the food is amazing !"], "output": "['Decor', ['upgraded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Decor needs to be upgraded but the food is amazing !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This small Astoria souvlaki spot makes what many consider the best gyros in New York ."], "output": "['gyros', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['food', ['shine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['gyro', ['in-house']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['sausages', ['in-house']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["What really makes it shine is the food , which is aggressively seasoned with Cyrpriot spices , and all made in-house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "['ingredients', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All the various Greek and Cypriot dishes are excellent , but the gyro is the reason to come -- if you do n't eat one your trip was wasted ."], "output": "['Greek', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best restaurant in Brooklyn"], "output": "['restaurant', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , amazing service , this place is a class act ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , amazing service , this place is a class act ."], "output": "['service', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , amazing service , this place is a class act ."], "output": "['place', ['class']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The veal was incredible last night ."], "output": "['veal', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is a must visit !"], "output": "['place', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is all shared so we get to order together and eat together ."], "output": "['food', ['shared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've enjoyed 99 % of the dishes we 've ordered with the only exceptions being the occasional too-authentic-for-me dish ( I 'm a daring eater but not THAT daring ) ."], "output": "['dishes', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've enjoyed 99 % of the dishes we 've ordered with the only exceptions being the occasional too-authentic-for-me dish ( I 'm a daring eater but not THAT daring ) ."], "output": "['dish', ['too-authentic-for-me']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My daughter 's wedding reception at Water 's Edge received the highest compliments from our guests ."], "output": "['Water', ['highest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['atmosphere', ['raved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['rooms', ['elegant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['views', ['incomparable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "['food', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was wonderful ;"], "output": "['Service', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Paul , the maitre d ' , was totally professional and always on top of things ."], "output": "['Paul', ['professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service ok but unfriendly , filthy bathroom ."], "output": "['Service', ['ok', 'unfriendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service ok but unfriendly , filthy bathroom ."], "output": "['bathroom', ['filthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bar drinks were Eh , ok to say the least ."], "output": "['bar', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The stuff tilapia was horrid ... tasted like cardboard ."], "output": "['stuff', ['horrid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["oh speaking of bathroom , the mens bathroom was disgusting ."], "output": "['mens', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list was extensive - though the staff did not seem knowledgeable about wine pairings ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list was extensive - though the staff did not seem knowledgeable about wine pairings ."], "output": "['staff', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bread we received was horrible - rock hard and cold - and the `` free '' appetizer of olives was disappointing ."], "output": "['bread', ['horrible', 'rock', 'cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bread we received was horrible - rock hard and cold - and the `` free '' appetizer of olives was disappointing ."], "output": "['appetizer', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , our main course was wonderful ."], "output": "['main', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had fish and my husband had the filet - both of which exceeded our expectations ."], "output": "['fish', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had fish and my husband had the filet - both of which exceeded our expectations ."], "output": "['filet', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The dessert ( we had a pear torte ) was good - but , once again , the staff was unable to provide appropriate drink suggestions ."], "output": "['pear', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The dessert ( we had a pear torte ) was good - but , once again , the staff was unable to provide appropriate drink suggestions ."], "output": "['staff', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not what I would expect for the price and prestige of this location ."], "output": "['location', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All in all , I would return - as it was a beautiful restaurant - but I hope the staff pays more attention to the little details in the future ."], "output": "['restaurant', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["short and sweet \u2013 seating is great : it 's romantic , cozy and private ."], "output": "['seating', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The boths are not as small as some of the reviews make them out to look they 're perfect for 2 people ."], "output": "['boths', ['not', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was extremely fast and attentive ( thanks to the service button on your table ) but I barely understood 1 word when the waiter took our order ."], "output": "['service', ['fast', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was extremely fast and attentive ( thanks to the service button on your table ) but I barely understood 1 word when the waiter took our order ."], "output": "['service', ['thanks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was extremely fast and attentive ( thanks to the service button on your table ) but I barely understood 1 word when the waiter took our order ."], "output": "['waiter', ['barely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was ok and fair nothing to go crazy ."], "output": "['food', ['ok', 'fair']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Over all the looks of the place exceeds the actual meals ."], "output": "['looks', ['exceeds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Subtle food and service"], "output": "['food', ['Subtle']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Subtle food and service"], "output": "['service', ['Subtle']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Noodle pudding is exactly the type of service and food I enjoy ."], "output": "['service', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Noodle pudding is exactly the type of service and food I enjoy ."], "output": "['food', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Servers are all different , Greg is my favorite ."], "output": "['Greg', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I go out to eat and like my courses , servers are patient and never rush courses or force another drink ."], "output": "['servers', ['patient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["amazing fresh dogs but best of all endless toppings ! ! !"], "output": "['dogs', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["amazing fresh dogs but best of all endless toppings ! ! !"], "output": "['toppings', ['best', 'endless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["amazing fun for hot dog lovers of all ages PLEASE do yourself a favor and check this place out ! ! ! !"], "output": "['hot', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Stepping into Casa La Femme last night was a true experience unlike any other in New York !"], "output": "['Casa', ['true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Highly impressed from the decor to the food to the hospitality to the great night I had !"], "output": "['decor', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Highly impressed from the decor to the food to the hospitality to the great night I had !"], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The have a great cocktail with Citrus Vodka and lemon and lime juice and mint leaves that is to die for !"], "output": "['cocktail', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food took some time to prepare , all worth waiting for ."], "output": "['Food', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were drawn into the belly dancing show that captivated the crowd ."], "output": "['belly', ['captivated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I never write on these sites but this restaurant is def worth commending !"], "output": "['restaurant', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "['waiter', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have worked in restaurants and cook a lot , and there is no way a maggot should be able to get into well prepared food ."], "output": "['food', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For a restaurant with such a good reputation and that is usually so packed , there was no reason for such a lack of intelligent customer service ."], "output": "['restaurant', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For a restaurant with such a good reputation and that is usually so packed , there was no reason for such a lack of intelligent customer service ."], "output": "['customer', ['intelligent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great place , great value ."], "output": "['place', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is flavorful , plentiful and reasonably priced ."], "output": "['food', ['flavorful', 'plentiful', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is relaxed and casual ."], "output": "['atmosphere', ['relaxed', 'casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a great place to order from or sit-in ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Sushi experience was unbelievable with my fiance ."], "output": "['Sushi', ['unbelievable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good creative rolls !"], "output": "['rolls', ['Good', 'creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Yamato is an excellent place to go if youre not into sashimi , or if you have friends who doesnt like sushi much ."], "output": "['Yamato', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have great rolls , the triple color and norwegetan rolls , are awesome and filling ."], "output": "['rolls', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have great rolls , the triple color and norwegetan rolls , are awesome and filling ."], "output": "['triple', ['awesome', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["One special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "['dessert', ['save']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["One special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "['special', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["One special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "['regular', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have a delicious banana chocolate dessert , as well as a great green tea tempura ."], "output": "['banana', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have a delicious banana chocolate dessert , as well as a great green tea tempura ."], "output": "['green', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The appetizers are also delicious !"], "output": "['appetizers', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Amazing food ."], "output": "['food', ['Amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Mazing interior ."], "output": "['interior', ['Mazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had my fair share of modern Japanese and this spot delivers ."], "output": "['modern', ['delivers']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was pretty nice but had a bit lacking , which it tries to make up for with a crazy scheme of mirrors ."], "output": "['atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was pretty nice but had a bit lacking , which it tries to make up for with a crazy scheme of mirrors ."], "output": "['scheme', ['crazy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Despite the confusing mirrors this will likely be my go-to for modern Japanese food for the foreseeable future ."], "output": "['modern', ['go-to']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Despite the confusing mirrors this will likely be my go-to for modern Japanese food for the foreseeable future ."], "output": "['mirrors', ['confusing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Indo Chinese food , pretty good ..."], "output": "['Indo', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not a very fancy place but very good Chinese style Indian food ."], "output": "['place', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not a very fancy place but very good Chinese style Indian food ."], "output": "['Chinese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken lollipop is my favorite , most of the dishes ( I have to agree with a previous reviewer ) are quite oily and very spicy , espeically the Chilli Chicken ."], "output": "['chicken', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken lollipop is my favorite , most of the dishes ( I have to agree with a previous reviewer ) are quite oily and very spicy , espeically the Chilli Chicken ."], "output": "['dishes', ['oily', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken lollipop is my favorite , most of the dishes ( I have to agree with a previous reviewer ) are quite oily and very spicy , espeically the Chilli Chicken ."], "output": "['Chilli', ['oily', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My mom originally introduced me to this place , but even she ( being Indian ) feels the food can be somewhat over the top spicy and far too oily ."], "output": "['food', ['spicy', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was speechless by the horrible food ."], "output": "['food', ['speechless', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I attended a holiday dinner at the restaurant , and the food was majorly disappointing ."], "output": "['food', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is the MOST wonderful restaurant in all of New York City , not just Brooklyn ..."], "output": "['restaurant', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["for 7 years they have put out the most tasty , most delicious food and kept it that way ..."], "output": "['food', ['tasty', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["never swaying , never a bad meal , never bad service ..."], "output": "['meal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["never swaying , never a bad meal , never bad service ..."], "output": "['service', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great food , great wine list , great service in a great neighborhood ..."], "output": "['neighborhood', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Patsy 's Pizza = true love"], "output": "['Patsy', ['true']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Hands down the best pizza on the planet ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great hot dogs ."], "output": "['hot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside ."], "output": "['hot', ['juicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great toppings definitely a place you need to check out for late night munchies or a mid day boost !"], "output": "['toppings', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For me dishes a little oily , but overall dining experience good ."], "output": "['dishes', ['oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Helpful service and average price per dish $ 10 ."], "output": "['service', ['Helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing that strikes you is the decor ? ( not very pleasant ) ."], "output": "['decor', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great food"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has great indian chinese food ."], "output": "['indian', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be prepared to wait , because the place is pretty tiny ."], "output": "['place', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Even though the place is not beautiful , the food speaks for itself ."], "output": "['place', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Even though the place is not beautiful , the food speaks for itself ."], "output": "['food', ['speaks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Indian Chinese in the city , by far !"], "output": "['Indian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The martinis are amazing and very fairly priced ."], "output": "['martinis', ['amazing', 'fairly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE SERVICE IS AMAZING , i 've had different waiters and they were all nice , which is a rare thing in NYC ."], "output": "['SERVICE', ['AMAZING']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THE SERVICE IS AMAZING , i 've had different waiters and they were all nice , which is a rare thing in NYC ."], "output": "['waiters', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The DJ is awesome , I have been there for my birthday and a bunch of other times with friends and I keep going back ."], "output": "['DJ', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything on the menu is great ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This establishment is the real deal ."], "output": "['establishment', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Wish NY had more of these kind of places : intimate , superb food , homey , top notch all the way around , certainly worth the wait ."], "output": "['food', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Look , the appetizers were really good ."], "output": "['appetizers', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The entree was also very good ."], "output": "['entree', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Yes , the place is classy and beautiful , but they most certainly target the uber whealthy Not the common joe that wants to go all out every once in a while ."], "output": "['place', ['classy', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Vanison was good but not amazing ."], "output": "['Vanison', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Bison was quite excellent however ."], "output": "['Bison', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dessert : pure disaster ."], "output": "['Dessert', ['disaster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I read reviews that called the restaurant too expensive and I thought to myself , but may be it is worth it ."], "output": "['restaurant', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All in all , the food was great ( except for the dessserts ) ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts ."], "output": "['environment', ['upscale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you are going for the food , it will not be worth it ."], "output": "['food', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You would think they would make up for it with service , sadly , no ."], "output": "['service', ['sadly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was just ok , it is not what you 'd expect for $ 500 ."], "output": "['Service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I literally just got back home after visiting Casa La Femme and was so offended by my visit felt it necessary to try and warn other diners who value their money and time ."], "output": "['Casa', ['offended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place is beautiful !"], "output": "['place', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hostess was very pleasant ."], "output": "['hostess', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , our $ 14 drinks were were horrible !"], "output": "['drinks', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We asked for sides which the waiter than admitted that he forgot to put in that part of our order ."], "output": "['waiter', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My chicken was inedible as there were so many fatty lumps which i had to keep spitting out into my napkin ."], "output": "['chicken', ['inedible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["By the time we left our wallets were empy and so were our stomachs AND we missed the show we were supposed to see following our dinner , which would have been acceptable if we got to enjoy the experience of good food and belly dancers !"], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If it seemed possible to do so while there I would have fought my bill since my dinner portion of my meal was inedible !"], "output": "['meal', ['inedible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have never left a restaurant feeling as if i was abused , and wasted my hard earned money ."], "output": "['restaurant', ['abused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The menu is fairly simple without much descriptions ."], "output": "['menu', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There was no tap beer that evening , which was a disappointment ."], "output": "['beer', ['disappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not much of a selection of bottled beer either , we went with Brahma ."], "output": "['selection', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The appetizers we ordered were served quickly - an order of fried oysters and clams were delicious but a tiny portion ( maybe 3 of each ) ."], "output": "['fried', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lobster knuckles ( special of the day ) were ok , but pretty tasteless ."], "output": "['lobster', ['ok', 'tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had the Thai style Fried Sea Bass ... which was very good ."], "output": "['Thai', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone seemed generally happy with their food , except my brother who had the grilled Mahi Mahi , seemingly drenched in Grapfruit Juice !"], "output": "['food', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone seemed generally happy with their food , except my brother who had the grilled Mahi Mahi , seemingly drenched in Grapfruit Juice !"], "output": "['grilled', ['drenched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I heard the lobster roll was excellent ."], "output": "['lobster', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All in all the food was good - a little on the expensive side , but fresh ."], "output": "['food', ['good', 'expensive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service not the friendliest to our `` large party '' !"], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Indian food"], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food was amazing - I love Indian food and eat it quite regularly , but I can say this is one of the best I 've had ."], "output": "['Food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very `` normal Indian food '' , but done really well ."], "output": "['Indian', ['normal', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lunch buffet is expensive but is deff worth it ."], "output": "['lunch', ['expensive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We have gone for dinner only a few times but the same great quality and service is given ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We have gone for dinner only a few times but the same great quality and service is given ."], "output": "['dinner', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Bukhara is on my top 5 Indian places in NYC"], "output": "['Bukhara', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have never been so disgusted by both food an service ."], "output": "['food', ['disgusted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have never been so disgusted by both food an service ."], "output": "['service', ['disgusted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , once I received my predictably mediocre order of what Dokebi thinks passes as Korean fair , ( sometimes you have to settle when it 's your only option ) , I got through about half my kimchee before I found a piece of random lettuce accompanied by a far more disgusting , slimy , clearly bad piece of fish skin ."], "output": "['kimchee', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , once I received my predictably mediocre order of what Dokebi thinks passes as Korean fair , ( sometimes you have to settle when it 's your only option ) , I got through about half my kimchee before I found a piece of random lettuce accompanied by a far more disgusting , slimy , clearly bad piece of fish skin ."], "output": "['Korean', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My girlfriend , being slightly more aggressive , and having been equally disgusted causing her to throw out the remainder of her barely eaten meal , called back only to be informed that I was probably wrong and that it was most likely an oyster , and that we were also blacklisted from their restaurant ."], "output": "['meal', ['disgusted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was n't as if this restaurant had any major bragging points before hand , but now it 's simply repulsive ."], "output": "['restaurant', ['repulsive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Gorgeous place ideal for a romantic dinner"], "output": "['place', ['Gorgeous', 'ideal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot ."], "output": "['four', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot ."], "output": "['white', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing !"], "output": "['service', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing !"], "output": "['waiter', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I completely recommend Casa La Femme for any special occasion and to REALLY impress your date ."], "output": "['Casa', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bibimbap was average , but the stone bowl was n't even close to sizzling ."], "output": "['bibimbap', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bibimbap was average , but the stone bowl was n't even close to sizzling ."], "output": "['stone', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Too bad I had paid an extra $ 2 for the stone bowl ."], "output": "['stone', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The nakgi-bokum was horrible ."], "output": "['nakgi-bokum', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Easily the worst stir-fried squid I 've ever tasted ."], "output": "['stir-fried', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The side dishes were passable , and I did get a refill upon request ."], "output": "['side', ['passable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The real problem I had with this place was the complete lack of service ."], "output": "['service', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My wife had barely touched that mess of a dish ."], "output": "['dish', ['mess']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wife had the risotto which was amazing ."], "output": "['risotto', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The farro salad and the mashed yukon potatoes were also extremely tasty ."], "output": "['farro', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The farro salad and the mashed yukon potatoes were also extremely tasty ."], "output": "['mashed', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i love margherita pizza \u2013 i looove east village pizza"], "output": "['east', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i love margherita pizza \u2013 i looove east village pizza"], "output": "['margherita', ['looove']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Love this place , every time we are in the city this is one of the places we always go ."], "output": "['place', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A quintessential slice of NYC pizza ."], "output": "['slice', ['quintessential']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "['crust', ['great', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "['sauce', ['light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "['cheese', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Personally I like the margherita pizza better , but they are all good ."], "output": "['margherita', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Possibly the Most Romantic Restaurant in the City"], "output": "['Restaurant', ['Romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is undoubtedly my favorite modern Japanese brasserie ( that don \u2019 t serve sushi ) , and in my opinion , one of the most romantic restaurants in the city !"], "output": "['modern', ['favorite', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only is it an adventure getting to this somewhat hidden spot , once you enter the unmarked wooden doors , the zen and intimate d\u00e9cor will make you feel like you \u2019 re no longer in the city ."], "output": "['spot', ['hidden']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only is it an adventure getting to this somewhat hidden spot , once you enter the unmarked wooden doors , the zen and intimate d\u00e9cor will make you feel like you \u2019 re no longer in the city ."], "output": "['d\u00e9cor', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you \u2019 re planning to come here , make sure that your date is someone whom you really like since you \u2019 ll be ushered to private booths where there will be no people or food watching ( choose the ones on the ground level that have glass ceilings so you may see the stars in the sky ! ) ."], "output": "['private', ['ushered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My party had the BBE $ 29 fixe prix menu , which was such a wonderful deal since it also came with a flight of sake !"], "output": "['BBE', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We started off with a delightful sashimi amuse bouche ."], "output": "['sashimi', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I picked the Grilled Black Cod as my entree , which I absolutely devoured while someone commented that the Grilled Salmon dish was better ."], "output": "['Grilled', ['devoured']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I picked the Grilled Black Cod as my entree , which I absolutely devoured while someone commented that the Grilled Salmon dish was better ."], "output": "['Grilled', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sake \u2019 s complimented the courses very well and is successfully easing me into the sake world ."], "output": "['sake', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For desserts , we tried the frozen black sesame mousse ( interesting but not extraordinary ) and matcha ( powdered green tea ) and blueberry cheesecake , which was phenomenal ."], "output": "['frozen', ['interesting', 'extraordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For desserts , we tried the frozen black sesame mousse ( interesting but not extraordinary ) and matcha ( powdered green tea ) and blueberry cheesecake , which was phenomenal ."], "output": "['matcha', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Maybe it was the great company ( I had friends visiting from Philly \u2013 yes , it was not a date this time ) or the super reasonable price point , but I just can \u2019 t say enough good things about this brasserie ."], "output": "['brasserie', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service leaves much to be desired , from feeling like you are rushed the place your order , to being ignored the rest of the night ."], "output": "['service', ['leaves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They are extremely rude , not even apologizing for the horrible service we got and handing us a bill well over $ 500 for some drinks adn their pita bread !"], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Shabu Shabu"], "output": "['Shabu', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I tried a couple other dishes but was n't too impressed ."], "output": "['dishes', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['meat', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['sauces', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['kimchi', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "['salad', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos ."], "output": "['Korean', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos ."], "output": "['fusion', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos ."], "output": "['pork', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "['hot', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "['pork', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "['bun', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food tasted very good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The family seafood entree was very good ."], "output": "['family', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The main entree was also very good ."], "output": "['main', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Price is high but the food is good , so I would come back again ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has totally weird decor , stairs going up with mirrored walls - I am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional ..."], "output": "['decor', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place has totally weird decor , stairs going up with mirrored walls - I am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional ..."], "output": "['mirrored', ['dizzy', 'delusional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is not inviting and the food is totally weird ."], "output": "['place', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is not inviting and the food is totally weird ."], "output": "['food', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The concept of japanese tapas is newly created and clearly does n't work ."], "output": "['japanese', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food they serve is not comforting , not appetizing and uncooked ."], "output": "['food', ['not', 'not', 'uncooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good Food"], "output": "['Food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was great and tasty , but the sitting space was too small , I do n't like being cramp in a corner ."], "output": "['food', ['great', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was great and tasty , but the sitting space was too small , I do n't like being cramp in a corner ."], "output": "['sitting', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Over all it was a very nice romantic place ."], "output": "['place', ['nice', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A coworker and I tried Pacifico after work a few Fridays and loved it ."], "output": "['Pacifico', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was great ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food we ordered was excellent , although I would n't say the margaritas were anything to write home about ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waitress was n't mean , but not especially warm or attentive either ."], "output": "['waitress', ['was', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I must say I am surprised by the bad reviews of the restaurant earlier in the year , though ."], "output": "['restaurant', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The servers at Flatbush Farm appear to have perfected that ghastly technique of making you feel guilty and ashamed for deigning to attract their attention ."], "output": "['servers', ['perfected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A different server enhanced the fun , dumping our entrees in front of us halfway through our appetizer ( which was delicious ) ."], "output": "['server', ['enhanced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A different server enhanced the fun , dumping our entrees in front of us halfway through our appetizer ( which was delicious ) ."], "output": "['appetizer', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Overall the food quality was pretty good , though I hear the salmon is much better when it has n't sat cooling in front of the guest ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place has a nice fit-out , some attractive furnishings and , from what I could tell , a reasonable wine list ( I was given the food menu when I asked for the carte des vins )"], "output": "['fit-out', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place has a nice fit-out , some attractive furnishings and , from what I could tell , a reasonable wine list ( I was given the food menu when I asked for the carte des vins )"], "output": "['furnishings', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The place has a nice fit-out , some attractive furnishings and , from what I could tell , a reasonable wine list ( I was given the food menu when I asked for the carte des vins )"], "output": "['wine', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything was going good until we got our meals ."], "output": "['meals', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I took one look at the chicken and I was appalled ."], "output": "['chicken', ['appalled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was served with skin , over a bed of extremely undercooked spinach and mashed potatoes ."], "output": "['spinach', ['undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I took one bite from the $ 24 salmon , and I have never , in the 17 years I have been going to restaurants tasted salmon as fishy , as dry , and as bland as the one in Flatbush Farms ."], "output": "['salmon', ['fishy', 'dry', 'bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["So , I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again , but the spinach was so undercooked that I just could not bite through it ."], "output": "['was', ['undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is where it really really gets bad : the manager said , there is absolutely nothing we can do , it 's a matter of taste that she did n't like it , and I can not comp it ."], "output": "['manager', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The manager came to the table and said we can do what we want , so we paid for what we did enjoy , the drinks and appetizers , and walked out ."], "output": "['drinks', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The manager came to the table and said we can do what we want , so we paid for what we did enjoy , the drinks and appetizers , and walked out ."], "output": "['appetizers', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["THIS STAFF SHOULD BE FIRED ."], "output": "['STAFF', ['FIRED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["cirspy crust margherita pizza"], "output": "['margherita', ['cirspy', 'crust']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it was really good pizza ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )"], "output": "['crust', ['cooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )"], "output": "['pizza', ['fully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Single Worst Restaurant in Manhattan"], "output": "['Restaurant', ['Worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['decor', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['pita', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['hummus', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "['grilled', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is quite a spectacular scene i 'll give them that ."], "output": "['scene', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The decor however seems to be the distraction so you wo n't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME ! ! ! !"], "output": "['decor', ['distraction']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The decor however seems to be the distraction so you wo n't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME ! ! ! !"], "output": "['eggplant', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Hot Dogs !"], "output": "['Hot', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are top notch , and they 're Slamwich is amazing !"], "output": "['hot', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hot dogs are top notch , and they 're Slamwich is amazing !"], "output": "['Slamwich', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Going to Bark is always worth the train ride , and will make your tongue and belly very happy !"], "output": "['Bark', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But nonetheless -- great spot , great food ."], "output": "['spot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But nonetheless -- great spot , great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fabulous food - if the front of house staff do n't put you off \u2013"], "output": "['food', ['Fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return ."], "output": "['waiters', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return ."], "output": "['front', ['hideous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return ."], "output": "['fish', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["As BFC does n't take reservations you almost always have to wait by the bar - and be abused by the front of house staff until you are seated , which can be over an hour later !"], "output": "['front', ['abused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The frizzy retro girl ( with winged/ Dame Edna glasses ) will yell at you if you try to order a drink ."], "output": "['girl', ['frizzy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 'd be horrified if my staff were turning away customers so early and so rudely !"], "output": "['staff', ['horrified']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There 's another girl who I ca n't describe , she is about 5'6 '' with brown hair , who eavesdrops on your conversation and chimes in - except she only hears the last part of what you said , so her uninvited opinions are often out of context and nothing to do with what you 're *really* talking about ."], "output": "['girl', ['uninvited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Considering you will spend at least $ 60 a head , I expect better service ."], "output": "['service', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food and service were fine , however the maitre-D was incredibly unwelcoming and arrogant ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food and service were fine , however the maitre-D was incredibly unwelcoming and arrogant ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food and service were fine , however the maitre-D was incredibly unwelcoming and arrogant ."], "output": "['maitre-D', ['unwelcoming', 'arrogant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While finishing our meals which included a high-end bottle of wine , our son 's fiance joined us for a glass of wine and dessert ."], "output": "['bottle', ['high-end']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This guy refused to seat her and she left , followed shortly by the four of us , but not before I told him that in my 40 years of world travel , including Paris , that I had never seen such a display of bad behavior by a frontman in a restaurant ."], "output": "['frontman', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best meal in a long time !"], "output": "['meal', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Mussles and calamari were superb Saturday evening ."], "output": "['Mussles', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Mussles and calamari were superb Saturday evening ."], "output": "['calamari', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had the Lamb special which was perfect ."], "output": "['Lamb', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My father had the flank steak which was very good , and my mother had the swordfish ."], "output": "['flank', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Four Seasons restaurant is a great experience ."], "output": "['The', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the environment is even better ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and the environment is even better ."], "output": "['environment', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Here the hot dog is elevated to the level of a real entree with numerous variations available ."], "output": "['hot', ['elevated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Atmosphere"], "output": "['Atmosphere', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the fish tacos , everything else was ok ."], "output": "['fish', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Cool atmosphere , the fire place in the back really ads to it but needs a bit more heat throughout on a cold night ."], "output": "['atmosphere', ['Cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Poor service and management"], "output": "['service', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Poor service and management"], "output": "['management', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Had an awful experience at Casa la Femme on a Saturday dinner ."], "output": "['Casa', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The manager was rude and handled the situation extremely poorly ."], "output": "['manager', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Can \u2019 t believe how an expensive NYC restaurant can be so disrespectful to its clients ."], "output": "['restaurant', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is very good , but not outstanding ."], "output": "['food', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bread was stale , the salad was overpriced and empty ."], "output": "['bread', ['stale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bread was stale , the salad was overpriced and empty ."], "output": "['salad', ['overpriced', 'empty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pasta was well cooked , did n't have enough sauce though or flavor ."], "output": "['pasta', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The hostess was rude and I got a distinct feeling that they did not want to serve us ."], "output": "['hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only thing that my friend left out is that when we sat down at the bar the bartender disappeared ."], "output": "['bartender', ['disappeared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Shame on this place for the horrible rude staff and non-existent customer service ."], "output": "['staff', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Shame on this place for the horrible rude staff and non-existent customer service ."], "output": "['customer', ['non-existent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["bad staff"], "output": "['staff', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I generally like this place ."], "output": "['place', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The design of the space is good ."], "output": "['space', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the service is HORRID !"], "output": "['service', ['HORRID']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Serves really good sushi ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not the biggest portions but adequate ."], "output": "['portions', ['Not', 'adequate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Green Tea creme brulee is a must !"], "output": "['Green', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has great sushi and even better service ."], "output": "['sushi', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It has great sushi and even better service ."], "output": "['service', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The entire staff was extremely accomodating and tended to my every need ."], "output": "['staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The owner is belligerent to guests that have a complaint ."], "output": "['owner', ['belligerent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good food !"], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is a great place to get a delicious meal ."], "output": "['meal', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff is pretty friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The onion rings are great !"], "output": "['onion', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lemon chicken tasted like sticky sweet donuts and the honey walnut prawns , the few they actually give you ... ..were not good ."], "output": "['lemon', ['sticky', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lemon chicken tasted like sticky sweet donuts and the honey walnut prawns , the few they actually give you ... ..were not good ."], "output": "['honey', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice ambience , but highly overrated place ."], "output": "['ambience', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice ambience , but highly overrated place ."], "output": "['place', ['overrated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Worst Service I Ever Had"], "output": "['Service', ['Worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everyone that sat in the back outside agreed that it was the worst service we had ever received ."], "output": "['service', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our waiter was non-existent and after our food finally arrived over an hour after we ordered , we were not given any water or utensils ."], "output": "['waiter', ['non-existent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I complained to the manager , but he was not even apologetic ."], "output": "['manager', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fabulous Italian Food !"], "output": "['Italian', ['Fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I highly recommend Mioposto ."], "output": "['Mioposto', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I am so happy to have a wonderful Italian restaurant in my neighborhood ."], "output": "['Italian', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list is wonderful and the food reminds me of my recent trip to Italy ."], "output": "['wine', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love this restaurant"], "output": "['restaurant', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I will never forget the amazing meal , service , and ambiance I experience at this restaurant ."], "output": "['meal', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I will never forget the amazing meal , service , and ambiance I experience at this restaurant ."], "output": "['service', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I will never forget the amazing meal , service , and ambiance I experience at this restaurant ."], "output": "['ambiance', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list is incredible and extensive and diverse , the food is all incredible and the staff was all very nice , good at their jobs and cultured ."], "output": "['wine', ['incredible', 'extensive', 'diverse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list is incredible and extensive and diverse , the food is all incredible and the staff was all very nice , good at their jobs and cultured ."], "output": "['food', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The wine list is incredible and extensive and diverse , the food is all incredible and the staff was all very nice , good at their jobs and cultured ."], "output": "['staff', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was great !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 In a age of incremental cost cutting in restaurants , its nice to see a place that bucks that trend , and just plain delivers high quality food and good service , period ."], "output": "['food', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 In a age of incremental cost cutting in restaurants , its nice to see a place that bucks that trend , and just plain delivers high quality food and good service , period ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is the place to relax and enjoy the finest quality food the industry can offer ."], "output": "['place', ['relax']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This is the place to relax and enjoy the finest quality food the industry can offer ."], "output": "['food', ['finest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Caution - its real food for people who love the best ."], "output": "['food', ['real', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I liked the atmosphere very much but the food was not worth the price ."], "output": "['atmosphere', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I liked the atmosphere very much but the food was not worth the price ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I may not be a sushi guru but I can tell you that the food here is just okay and that there is not much else to it ."], "output": "['food', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Rice is too dry , tuna was n't so fresh either ."], "output": "['Rice', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Rice is too dry , tuna was n't so fresh either ."], "output": "['tuna', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have eaten here three times and have found the quality and variety of the fish to be excellent ."], "output": "['fish', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , the value and service are both severely lacking ."], "output": "['service', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Furthermore , while the fish is unquestionably fresh , rolls tend to be inexplicably bland ."], "output": "['fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Furthermore , while the fish is unquestionably fresh , rolls tend to be inexplicably bland ."], "output": "['rolls', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service ranges from mediocre to offensive ."], "output": "['service', ['mediocre', 'offensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["On a recent trip , our waiter was extremely dismissive , while no less than three staff members waited hand-and-foot on a pair of Japanese girls seated nearby ."], "output": "['waiter', ['dismissive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Freshest sushi \u2013 I love this restaurant ."], "output": "['sushi', ['Freshest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Freshest sushi \u2013 I love this restaurant ."], "output": "['restaurant', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They pay such detail to everything from miso soup to complex rolls ."], "output": "['rolls', ['complex']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sashimi was the freshest and most tender I have ever tasted ."], "output": "['sashimi', ['freshest', 'tender']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Their apps are all delicious ."], "output": "['apps', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only drawback is that this place is really expensive and the portions are on the small side ."], "output": "['place', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the space is small and lovely , and the service is helpful ."], "output": "['space', ['small', 'lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the space is small and lovely , and the service is helpful ."], "output": "['service', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The food was not great & the waiters were rude ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The food was not great & the waiters were rude ."], "output": "['waiters', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great service"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["my service was stellar !"], "output": "['service', ['stellar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["food was fine , with a some little-tastier-than-normal salsa ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food was great , the margaritas too but the waitress was too busy being nice to her other larger party than to take better care of my friend and me ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food was great , the margaritas too but the waitress was too busy being nice to her other larger party than to take better care of my friend and me ."], "output": "['margaritas', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the food was great , the margaritas too but the waitress was too busy being nice to her other larger party than to take better care of my friend and me ."], "output": "['waitress', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Mama Mia \u2013 I live in the neighborhood and feel lucky to live by such a great pizza place ."], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Sushi in town ."], "output": "['Sushi', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The best calamari in Seattle !"], "output": "['calamari', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 ... and the best summertime deck experience -- they will even bring you a blanket if you get cold in the Seattle evening weather ."], "output": "['deck', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["A perfect place to take out of town guests any time of the year ."], "output": "['place', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Endless fun , awesome music , great staff ! ! !"], "output": "['music', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Endless fun , awesome music , great staff ! ! !"], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 By far the best bar in the east village ..."], "output": "['bar', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great draft and bottle selection and the pizza rocks ."], "output": "['draft', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Definitely has one of the best jukebox 's i 've seen in a long long time ."], "output": "['jukebox', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great , the bartenders go that extra mile ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The owners are great fun and the beer selection is worth staying for ."], "output": "['owners', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The owners are great fun and the beer selection is worth staying for ."], "output": "['beer', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And the upstairs is a great place to hang out ."], "output": "['upstairs', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not alot of smoking places left in New York , but I have found my favorite smoking balconey in the city ."], "output": "['balconey', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi here is delicious !"], "output": "['sushi', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They have a wide variety of fish and they even list which oceans they come from ; Atlantic or Pacific ."], "output": "['fish', ['wide']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had the Jellyfish , Horse Mackerel , Blue Fin Tuna and the Sake Ikura roll among others , and they were all good ."], "output": "['Jellyfish', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had the Jellyfish , Horse Mackerel , Blue Fin Tuna and the Sake Ikura roll among others , and they were all good ."], "output": "['Horse', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had the Jellyfish , Horse Mackerel , Blue Fin Tuna and the Sake Ikura roll among others , and they were all good ."], "output": "['Blue', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've had the Jellyfish , Horse Mackerel , Blue Fin Tuna and the Sake Ikura roll among others , and they were all good ."], "output": "['Sake', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The decor is rustic , traditional Japanese ."], "output": "['decor', ['rustic', 'traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was courteous and attentive ."], "output": "['service', ['courteous', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Mediocre food"], "output": "['food', ['Mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The outside patio area has an abbreviated menu ."], "output": "['menu', ['abbreviated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My g/f and I both agreed the food was very mediocre especially considering the price ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We are locals , and get the feeling the only way this place survives with such average food is because most customers are probably one-time customer tourists ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was decent ."], "output": "['Service', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Drinks were good ."], "output": "['Drinks', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent food , nice ambience , fairly expensive"], "output": "['food', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Excellent food , nice ambience , fairly expensive"], "output": "['ambience', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I loved the pumpkin ravioli and the goat cheese gnocchi ( 5 big ones to a plate instead of 20 or so little gnocchis ) and my sister loved her filet mignon on top of spinach and mashed potatoes ."], "output": "['pumpkin', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I loved the pumpkin ravioli and the goat cheese gnocchi ( 5 big ones to a plate instead of 20 or so little gnocchis ) and my sister loved her filet mignon on top of spinach and mashed potatoes ."], "output": "['goat', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I loved the pumpkin ravioli and the goat cheese gnocchi ( 5 big ones to a plate instead of 20 or so little gnocchis ) and my sister loved her filet mignon on top of spinach and mashed potatoes ."], "output": "['filet', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The ambiance was a peaceful and relaxing break amongst all the kids running around in Downtown Disney ."], "output": "['ambiance', ['peaceful', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Indian food in L.A ."], "output": "['Indian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken curry and chicken tikka masala are my favorite meat dishes ."], "output": "['chicken', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chicken curry and chicken tikka masala are my favorite meat dishes ."], "output": "['chicken', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chana masala ( garbanzo beans ) are also excellent ."], "output": "['chana', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's located in a strip mall near the Beverly Center , not the greatest location , but the food keeps me coming back for more ."], "output": "['location', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Never too crowded and always great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can highly recommend their various saag and paneer and korma ."], "output": "['saag', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can highly recommend their various saag and paneer and korma ."], "output": "['paneer', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I can highly recommend their various saag and paneer and korma ."], "output": "['korma', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I appreciate their delivery too ."], "output": "['delivery', ['appreciate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nice food but no spice !"], "output": "['food', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I really enjoyed my meal here ."], "output": "['meal', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had yummy lamb korma , saag paneer , samosas , naan , etc ."], "output": "['lamb', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had yummy lamb korma , saag paneer , samosas , naan , etc ."], "output": "['saag', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had yummy lamb korma , saag paneer , samosas , naan , etc ."], "output": "['samosas', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had yummy lamb korma , saag paneer , samosas , naan , etc ."], "output": "['naan', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was all good but it was way too mild ."], "output": "['food', ['good', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The naan was some of the best I 've had and I really enjoyed the bhartha , not too tomatoey ."], "output": "['naan', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The naan was some of the best I 've had and I really enjoyed the bhartha , not too tomatoey ."], "output": "['bhartha', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Even the chickpeas , which I normally find too dry , were good ."], "output": "['chickpeas', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I do n't understand how I was a stranger to this place for so long ... the fajita salad , the colorado , the fajitas - EVERYTHING is delicious ."], "output": "['fajita', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I do n't understand how I was a stranger to this place for so long ... the fajita salad , the colorado , the fajitas - EVERYTHING is delicious ."], "output": "['colorado', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I do n't understand how I was a stranger to this place for so long ... the fajita salad , the colorado , the fajitas - EVERYTHING is delicious ."], "output": "['fajitas', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love the warm & cosy environment ."], "output": "['environment', ['warm', 'cosy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["best restaurant in the world , great decor , great customer service , friendly manager"], "output": "['restaurant', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["best restaurant in the world , great decor , great customer service , friendly manager"], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["best restaurant in the world , great decor , great customer service , friendly manager"], "output": "['customer', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["best restaurant in the world , great decor , great customer service , friendly manager"], "output": "['manager', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i am never disappointed with there food ."], "output": "['food', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the atmosphere is great ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great lunch spot"], "output": "['lunch', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Great financial district mexican spot ."], "output": "['mexican', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Always busy , but they are good at seating you promptly and have quick service ."], "output": "['service', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything I 've had here is good , taco salads , burritos , enchiladas i love this place ."], "output": "['taco', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything I 've had here is good , taco salads , burritos , enchiladas i love this place ."], "output": "['burritos', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything I 've had here is good , taco salads , burritos , enchiladas i love this place ."], "output": "['enchiladas', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything I 've had here is good , taco salads , burritos , enchiladas i love this place ."], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also have great margaritas !"], "output": "['margaritas', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is simply unforgettable !"], "output": "['food', ['unforgettable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff are friendly and the decor was ethic and colorful ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff are friendly and the decor was ethic and colorful ."], "output": "['decor', ['ethic', 'colorful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Holy Hummus !"], "output": "['Hummus', ['Holy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The food is here is incredible , though the quality is inconsistent during lunch ."], "output": "['food', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Dinners have always been excellent , in terms of food quality ."], "output": "['Dinners', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The side of potatoes is to die for , as is the labne ( yogurt dip ) ."], "output": "['side', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The side of potatoes is to die for , as is the labne ( yogurt dip ) ."], "output": "['labne', ['side']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also , they serve THE best hummus in America , with a drizzle of fragrant olive oil ( which , I believe is the traditional way ) !"], "output": "['hummus', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only drawback is the crowded seating and the slow service ."], "output": "['seating', ['crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only drawback is the crowded seating and the slow service ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["However , this place is a gem , and I wo n't stop going back ."], "output": "['place', ['gem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great beer"], "output": "['beer', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I swore never to return for a warm beer and mediocre meal ."], "output": "['beer', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I swore never to return for a warm beer and mediocre meal ."], "output": "['meal', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The band was very good and the service was attentive ."], "output": "['band', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The band was very good and the service was attentive ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We ordered a selection of the small plates , and the shoe string onions , goat cheese pizza , grilled asparagus and fried brie with fruit were all very good ."], "output": "['shoe', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We ordered a selection of the small plates , and the shoe string onions , goat cheese pizza , grilled asparagus and fried brie with fruit were all very good ."], "output": "['goat', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We ordered a selection of the small plates , and the shoe string onions , goat cheese pizza , grilled asparagus and fried brie with fruit were all very good ."], "output": "['grilled', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We ordered a selection of the small plates , and the shoe string onions , goat cheese pizza , grilled asparagus and fried brie with fruit were all very good ."], "output": "['fried', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Seattle 's BEST Winelist"], "output": "['Winelist', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sommelier is fantastic , down-to-earth , & extremely knowlegable ."], "output": "['sommelier', ['fantastic', 'down-to-earth', 'knowlegable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is not what it once was ( potions have seriously seen downsizing ) prices have gone up , and the service is the worst I have experienced anywhere ( including mainland Europe ) ."], "output": "['service', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Open & Cool Place with the Best Pizza and Coffee"], "output": "['Place', ['Cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Open & Cool Place with the Best Pizza and Coffee"], "output": "['Pizza', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Open & Cool Place with the Best Pizza and Coffee"], "output": "['Coffee', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Mioposto has a very creative & delicious pizza menu ."], "output": "['pizza', ['creative', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The coffe is very good , too ."], "output": "['coffe', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great open and friendly ambience ."], "output": "['ambience', ['Great', 'open', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["This place is charming and relaxing ."], "output": "['place', ['charming', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The servers behind the counter are always friendly and helpful ."], "output": "['servers', ['friendly', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a great place to enjoy food and meet friends ."], "output": "['food', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a great place to enjoy food and meet friends ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , spectacular location , and friendly service keep us coming back year after year ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , spectacular location , and friendly service keep us coming back year after year ."], "output": "['location', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , spectacular location , and friendly service keep us coming back year after year ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Enjoyed the food"], "output": "['food', ['Enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food was good and cheap ."], "output": "['Food', ['good', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had the kafta plate and I enjoyed it ."], "output": "['kafta', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Atmosphere was nice ."], "output": "['Atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Service was kind of slow , our waitress took forever to give us our check even though it was n't that busy ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Still I would recommend this place ."], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["WHAT ELSE CAN YOU SAY NICE PEOPLE AMAZING FOOD WOW"], "output": "['FOOD', ['AMAZING']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["WHAT ELSE CAN YOU SAY NICE PEOPLE AMAZING FOOD WOW"], "output": "['PEOPLE', ['NICE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food with an awesome atmosphere !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food with an awesome atmosphere !"], "output": "['atmosphere', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Eggs , pancakes , potatoes , fresh fruit and yogurt -- everything they serve is delicious ."], "output": "['Eggs', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Eggs , pancakes , potatoes , fresh fruit and yogurt -- everything they serve is delicious ."], "output": "['pancakes', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Eggs , pancakes , potatoes , fresh fruit and yogurt -- everything they serve is delicious ."], "output": "['potatoes', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Eggs , pancakes , potatoes , fresh fruit and yogurt -- everything they serve is delicious ."], "output": "['fresh', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Eggs , pancakes , potatoes , fresh fruit and yogurt -- everything they serve is delicious ."], "output": "['yogurt', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great meal \u2013 the fish on the omikase platter was absolutely decadent -- there was none of the stringiness that sometimes accompanies fair sushi -- this fish was perfect ! ! ! !"], "output": "['meal', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great meal \u2013 the fish on the omikase platter was absolutely decadent -- there was none of the stringiness that sometimes accompanies fair sushi -- this fish was perfect ! ! ! !"], "output": "['fish', ['decadent', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["plus , i am allergic to rice , and the waitstaff was unbelievably accomodating -- did n't even bat an eye !"], "output": "['waitstaff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["and the waiter suggested a perfect sake ! !"], "output": "['sake', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Unbeatable sushi !"], "output": "['sushi', ['Unbeatable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Melt in your mouth nigiri and sashmi , and very tasty rolls too ."], "output": "['rolls', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the oyster roll ."], "output": "['oyster', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 How to describe the best sushi in NYC : hmmmm , delicious , amazing , fantastic , suculent , perfect , nah , all of the above ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The best Chuwam Mushi I have ever had ."], "output": "['Chuwam', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good Sushi , High Price"], "output": "['Sushi', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["One of the best Sushi place in town ."], "output": "['Sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The house special roll is really good ."], "output": "['house', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I ca n't believe Murphy 's has been around for over 25 years , amazing ."], "output": "['Murphy', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Brunch at Murphy 's is to die for , my specialty ... egg white omelet , the food is always freshly prepared ."], "output": "['food', ['freshly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's the perfect spot for a romantic date for 2 or a secret rendezvous !"], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Save room for scrumptious desserts ."], "output": "['desserts', ['scrumptious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The restaurant offers an extensive wine list and an ambiance you wo n't forget !"], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The restaurant offers an extensive wine list and an ambiance you wo n't forget !"], "output": "['ambiance', ['wo']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Best Mexican place for lunch in the financial district ."], "output": "['Mexican', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Love the enchiladas and chicken soup - and be sure to check out their specials ."], "output": "['enchiladas', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Love the enchiladas and chicken soup - and be sure to check out their specials ."], "output": "['chicken', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Can get busy on Fridays for a table but once seated , the service is so efficient you can be in and out of there quickly ."], "output": "['service', ['efficient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi was excellent and the wait staff was quick ."], "output": "['sushi', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi was excellent and the wait staff was quick ."], "output": "['wait', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was just okay ."], "output": "['atmosphere', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Space was limited , but the food made up for it ."], "output": "['Space', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We stood there for 10 minutes while employees walked back and forth ignoring us ."], "output": "['employees', ['ignoring']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The Caesar salad I ordered had so much lemon I could n't eat it ."], "output": "['Caesar', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , better Margaritas !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great food , better Margaritas !"], "output": "['Margaritas', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 This is one of my top lunch spots , huge portions , fast service and amazing margaritas ! !"], "output": "['portions', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 This is one of my top lunch spots , huge portions , fast service and amazing margaritas ! !"], "output": "['service', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 This is one of my top lunch spots , huge portions , fast service and amazing margaritas ! !"], "output": "['margaritas', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["it gets really busy , so get there on the early side so you can grab a seat , if you do have to wait , its not bad because the service is quick !"], "output": "['service', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Check out the art on the walls , very colorful !"], "output": "['art', ['colorful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i love this place !"], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 i have been eating at this place for over 8 years now and i have never had one bad meal ."], "output": "['meal', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The lunch menu is an awesome deal !"], "output": "['lunch', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["plenty of food , trust me ."], "output": "['food', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fresh ingrediants and super tasty ."], "output": "['ingrediants', ['Fresh', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best food , phenominal service"], "output": "['food', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best food , phenominal service"], "output": "['service', ['phenominal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For the finicky sushi eater and those who have sampled the best NYC has to offer , the fish is the freshest and the service is superb ."], "output": "['fish', ['freshest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For the finicky sushi eater and those who have sampled the best NYC has to offer , the fish is the freshest and the service is superb ."], "output": "['service', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only can the selection be innovative , but there 's a nice balance of traditional sushi as well ."], "output": "['selection', ['innovative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Not only can the selection be innovative , but there 's a nice balance of traditional sushi as well ."], "output": "['sushi', ['nice', 'traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The nicest waiters in town ."], "output": "['waiters', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 This place is unbelievably over-rated ."], "output": "['place', ['over-rated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If I want to stand in line on Sunday for an hour to get average brunch food , then I would put Murphy 's at the top of the list ."], "output": "['brunch', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The regular menu here is slightly above average that is not worth the snotty attitude that you receive ."], "output": "['regular', ['above', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Your a sushi fan , you love expertly cut fish , great sake , a killer SOHO location , and of course : Salmon , Tuna , Fluke , Yellow Tail , Cod , Mackeral , Jellyfish , Sea Urchin , Shrimp , Lobster , Sea Bream , Trout , Milk Fish , Blue Fin Tuna , Eel , Crab , Sardine , Monk Fish , Roe , Scallop , Oysters , and a varity of Toro ."], "output": "['fish', ['love', 'expertly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Your a sushi fan , you love expertly cut fish , great sake , a killer SOHO location , and of course : Salmon , Tuna , Fluke , Yellow Tail , Cod , Mackeral , Jellyfish , Sea Urchin , Shrimp , Lobster , Sea Bream , Trout , Milk Fish , Blue Fin Tuna , Eel , Crab , Sardine , Monk Fish , Roe , Scallop , Oysters , and a varity of Toro ."], "output": "['sake', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Your a sushi fan , you love expertly cut fish , great sake , a killer SOHO location , and of course : Salmon , Tuna , Fluke , Yellow Tail , Cod , Mackeral , Jellyfish , Sea Urchin , Shrimp , Lobster , Sea Bream , Trout , Milk Fish , Blue Fin Tuna , Eel , Crab , Sardine , Monk Fish , Roe , Scallop , Oysters , and a varity of Toro ."], "output": "['SOHO', ['killer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Bring your cell phone cause you may have to wait to get into the best sushi restaurant in the world : BLUE RIBBON SUSHI ."], "output": "['BLUE', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Hands down , the best tuna I have ever had ."], "output": "['tuna', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Blue Ribbon lives up to it 's fantastic reputation ."], "output": "['Blue', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great value sushi with high quality & nice setting ."], "output": "['sushi', ['Great', 'high', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great value sushi with high quality & nice setting ."], "output": "['setting', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the Chef 's Choice for sushi as the smoked yellowtail was incredible and the rolls were also tasty ."], "output": "['rolls', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the Chef 's Choice for sushi as the smoked yellowtail was incredible and the rolls were also tasty ."], "output": "['smoked', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Poor customer service / poor pizza ."], "output": "['customer', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Poor customer service / poor pizza ."], "output": "['pizza', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 As with most restaurants in Seattle , Mioposto 's service was bad and the food was overpriced ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 As with most restaurants in Seattle , Mioposto 's service was bad and the food was overpriced ."], "output": "['food', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I know many people have their favorite types of pizza and pizza places , but Mioposto 's pizza lacks quality and good taste ."], "output": "['pizza', ['lacks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["To be honest , I 've had better frozen pizza ."], "output": "['pizza', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The only positive thing about Mioposto is the nice location ."], "output": "['location', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I was frankly shocked when I read the bad reviews - this place is fantastic ; it has not let us down in any way , and we 've eaten here more than 10 times ."], "output": "['place', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is fantastic , and the waiting staff has been perfect every single time we 've been there ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is fantastic , and the waiting staff has been perfect every single time we 've been there ."], "output": "['waiting', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Seabass on lobster risotto was the best ."], "output": "['Seabass', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Caesar salad was superb ."], "output": "['Caesar', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great bottle of wine ."], "output": "['bottle', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was ok , but the service was so poor that the food was cold buy the time everyone in my party was served ."], "output": "['food', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was ok , but the service was so poor that the food was cold buy the time everyone in my party was served ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["AVOID THE PLACE"], "output": "['PLACE', ['AVOID']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["When I got there I sat up stairs where the atmosphere was cozy & the service was horrible !"], "output": "['atmosphere', ['cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["When I got there I sat up stairs where the atmosphere was cozy & the service was horrible !"], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We left without ever getting service ."], "output": "['service', ['without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Crab Cakes in Town"], "output": "['Crab', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great seasonal fish and seafood , with a classy waterfront setting ."], "output": "['seasonal', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great seasonal fish and seafood , with a classy waterfront setting ."], "output": "['seafood', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great seasonal fish and seafood , with a classy waterfront setting ."], "output": "['waterfront', ['classy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Pizza , Poor Service"], "output": "['Pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Pizza , Poor Service"], "output": "['Service', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Love their pizza , especially the mushroom pizza ."], "output": "['pizza', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Love their pizza , especially the mushroom pizza ."], "output": "['mushroom', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Also love their caeser salad ."], "output": "['caeser', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Prefer to order it and pick it up though because I do n't like the servers , one young woman in particular ."], "output": "['servers', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Prefer to order it and pick it up though because I do n't like the servers , one young woman in particular ."], "output": "['young', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Many people talk about the great pizza and poor service , so it ca n't just be the rantings of a few dissatisfied customers ."], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Many people talk about the great pizza and poor service , so it ca n't just be the rantings of a few dissatisfied customers ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a great little place with tons of potential to be a neighborhood joint if the service were n't so impersonal and corporate-like ."], "output": "['place', ['great', 'little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Breakfast"], "output": "['Breakfast', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and they make a mean bloody mary ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is great and they make a mean bloody mary ."], "output": "['bloody', ['mean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love breakfast here ."], "output": "['breakfast', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Their crab eggs benedict is addicting ."], "output": "['crab', ['addicting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["All their menu items are a hit , and they serve mimosas ."], "output": "['menu', ['hit']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["best chinese food i have tasted in a long time"], "output": "['chinese', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the ambiance of the restaurant was nice and good for fine dinning ."], "output": "['ambiance', ['nice', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the staff was very nice and courteous and obviously chinese ."], "output": "['staff', ['nice', 'courteous', 'chinese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["so about the prawns , they were fresh and had a slight crispiness about the batter ... soooo good ... the walnuts were cut in smaller pieces and very crunchy and tasty ."], "output": "['prawns', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["so about the prawns , they were fresh and had a slight crispiness about the batter ... soooo good ... the walnuts were cut in smaller pieces and very crunchy and tasty ."], "output": "['batter', ['crispiness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["so about the prawns , they were fresh and had a slight crispiness about the batter ... soooo good ... the walnuts were cut in smaller pieces and very crunchy and tasty ."], "output": "['walnuts', ['crunchy', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["best honey walnyt prawns that we have every tasted ."], "output": "['honey', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the brocollis were so fresh and tasty ."], "output": "['brocollis', ['fresh', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i would normally not finish the brocolli when i order these kinds of food but for the first time , every piece was as eventful as the first one ... the scallops and prawns was so fresh and nicely cooked ."], "output": "['scallops', ['fresh', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["i would normally not finish the brocolli when i order these kinds of food but for the first time , every piece was as eventful as the first one ... the scallops and prawns was so fresh and nicely cooked ."], "output": "['prawns', ['fresh', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Chintzy portions"], "output": "['portions', ['Chintzy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The sushi here is perfectly good , but for $ 5 a piece , either the slices of fish should be larger , or there should be no pretense that this is a moderately priced restaurant ( even for NYC ) ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The sushi here is perfectly good , but for $ 5 a piece , either the slices of fish should be larger , or there should be no pretense that this is a moderately priced restaurant ( even for NYC ) ."], "output": "['restaurant', ['moderately']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Terrible service , food ok , pricey"], "output": "['service', ['Terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Terrible service , food ok , pricey"], "output": "['food', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food wise , its ok but a bit pricey for what you get considering the restaurant is n't a fancy place ."], "output": "['Food', ['ok', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food wise , its ok but a bit pricey for what you get considering the restaurant is n't a fancy place ."], "output": "['restaurant', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Another plus is the open feel of the restaurant with glass walls on all sides ."], "output": "['feel', ['plus', 'open']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Amazing Spanish Mackeral special appetizer and perfect box sushi ( that eel with avodcao -- um um um ) ."], "output": "['Spanish', ['Amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Amazing Spanish Mackeral special appetizer and perfect box sushi ( that eel with avodcao -- um um um ) ."], "output": "['box', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["As usual the omikase did n't disappoint in freshness , although it scored low on creativity and selection ."], "output": "['omikase', ['did', 'scored']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Their specialty rolls are impressive , though I ca n't remember what we had ."], "output": "['specialty', ['impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great selection of sakes ."], "output": "['selection', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It is n't the cheapest sushi but has been worth it every time ."], "output": "['sushi', ['is', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Very poor customer service ."], "output": "['customer', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Schooner or Later 's charming location along the marina in Long Beach and average food does not , unfortunately , compensate for its very poor customer service ."], "output": "['customer', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While this diner had reasonably good food , the restaurant staff seemed completely indifferent to our presence , and this attitude was reflected in the lack of service ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While this diner had reasonably good food , the restaurant staff seemed completely indifferent to our presence , and this attitude was reflected in the lack of service ."], "output": "['restaurant', ['indifferent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["the fish was fresh , though it was cut very thin ."], "output": "['fish', ['fresh', 'thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good sake selection ."], "output": "['sake', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Ray 's is THE place to go for high quality seafood dinners ."], "output": "['seafood', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I love Dungeness crabs and at Ray 's you can get them served in about 6 different ways !"], "output": "['Dungeness', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We shared the family platter and I especially enjoyed the black cod in sake kasu ."], "output": "['black', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I ended the meal with the unusual dessert of a port and chocolate tasting ... yummy !"], "output": "['dessert', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["And the service was simply spendid - quite a delight ."], "output": "['service', ['spendid', 'delight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Great Breakfast"], "output": "['Breakfast', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu ."], "output": "['drinks', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu ."], "output": "['corn', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu ."], "output": "['coffee', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu ."], "output": "['B', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu ."], "output": "['menu', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is fantastic at this fun place ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is fantastic at this fun place ."], "output": "['place', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Best Neighborhood Standby ."], "output": "['Standby', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In Grammercy/Union Square/East Village this is my neighbors and my favorite spot ."], "output": "['spot', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music is great , no night better or worse , the bar tenders are generous with the pouring , and the lighthearted atmosphere will lifts you spirits ."], "output": "['music', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music is great , no night better or worse , the bar tenders are generous with the pouring , and the lighthearted atmosphere will lifts you spirits ."], "output": "['bar', ['generous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music is great , no night better or worse , the bar tenders are generous with the pouring , and the lighthearted atmosphere will lifts you spirits ."], "output": "['atmosphere', ['lighthearted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Oh , and the cheese fries are awesome !"], "output": "['cheese', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good Food , Great Service , Average Prices ( For the Strip )"], "output": "['Food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good Food , Great Service , Average Prices ( For the Strip )"], "output": "['Service', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["When I walked in , I was taken aback by their incredible wood decor ."], "output": "['wood', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The music playing was very hip , 20-30 something pop music , but the subwoofer to the sound system was located under my seat , which became annoying midway through dinner ."], "output": "['subwoofer', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I got the shellfish and shrimp appetizer and it was alright ."], "output": "['shellfish', ['alright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It was n't the freshest seafood ever , but the taste and presentation was OK ."], "output": "['seafood', ['was', 'OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I picked the asparagus , which turned out to be incredible and perfectly prepared ."], "output": "['asparagus', ['incredible', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The steak was done to my exact liking ( medium rare ) and was nice and juicy ."], "output": "['steak', ['nice', 'juicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It ? s served with either a peppercorn sauce or red wine reduction , though both were indistinguishable in taste ."], "output": "['peppercorn', ['indistinguishable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It ? s served with either a peppercorn sauce or red wine reduction , though both were indistinguishable in taste ."], "output": "['red', ['indistinguishable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The desert was the perfect ending to an almost perfect dinner ."], "output": "['desert', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The desert was the perfect ending to an almost perfect dinner ."], "output": "['dinner', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["But the servers were extremely attentive and very friendly ."], "output": "['servers', ['attentive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good sake , good food \u2013 i honestly do n't know much about japanese food at all ."], "output": "['sake', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["good sake , good food \u2013 i honestly do n't know much about japanese food at all ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Server made several sake suggestions which were very good ."], "output": "['sake', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["had many dishes but the BEST was the lobster 3 ways ."], "output": "['lobster', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiter was a bit unfriendly and the feel of the restaurant was crowded ."], "output": "['waiter', ['unfriendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiter was a bit unfriendly and the feel of the restaurant was crowded ."], "output": "['feel', ['crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Most importantly , we were so excited about the food after seeing the very creative menu ."], "output": "['menu', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["At best , the food was good and definately overpriced ."], "output": "['food', ['good', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My favortie pizza joint in Seattle"], "output": "['pizza', ['favortie']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the salads are fantastic ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the salads are fantastic ."], "output": "['salads', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I 've always found the wait staff and , if you sit at the bar , the cooks very friendly ."], "output": "['cooks', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I also really enjoy the simplicity of the decor and intimate feeling of a small restaurant ."], "output": "['decor', ['enjoy', 'simplicity']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I also really enjoy the simplicity of the decor and intimate feeling of a small restaurant ."], "output": "['feeling', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 My husband and I love eating at Mioposto Caf\u00e9 ."], "output": "['Mioposto', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We \u2019 re can \u2019 t say enough about their delicious gourmet pizza \u2019 s !"], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["You won \u2019 t be disappointed by their menu ."], "output": "['menu', ['won']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza \u2019 s are thin crust and the menu offers very creative combinations and toppings ."], "output": "['menu', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza \u2019 s are thin crust and the menu offers very creative combinations and toppings ."], "output": "['pizza', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza \u2019 s are light and scrumptious ."], "output": "['pizza', ['light', 'scrumptious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Try the Pizza Ensalata !"], "output": "['Pizza', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza \u2019 s are not huge and the crust is thin ... keep that in mind when you \u2019 re ordering ."], "output": "['pizza', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza \u2019 s are not huge and the crust is thin ... keep that in mind when you \u2019 re ordering ."], "output": "['crust', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is sinful ."], "output": "['food', ['sinful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The staff was really friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was great ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The specialty here is decadent pancakes , but I 've been back now four times , and I 've been wowed every time ."], "output": "['pancakes', ['decadent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Nothing on the menu is less than amazing ."], "output": "['menu', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Good eats ."], "output": "['eats', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have been to this place , folks and it is BAD ."], "output": "['place', ['BAD']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Maybe it is good for that one night once in a blue moon when the chefs decide to use fish that 's half-way decent ."], "output": "['fish', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have been here , spent tons of money on a chef special dinner and it was a major dissappointment ."], "output": "['chef', ['dissappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The atmosphere is great for any special occasion you might want to celebrate ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The best dish are the honwy walnut prawns -- just outstanding ."], "output": "['honwy', ['best', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service is really attentive and charming ."], "output": "['service', ['attentive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was excellent , the coffee was good even by starbucks standards and the food was outstanding ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was excellent , the coffee was good even by starbucks standards and the food was outstanding ."], "output": "['coffee', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was excellent , the coffee was good even by starbucks standards and the food was outstanding ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I recently had the pleasure of dining as this delightful restaurant on 2nd street and wow what a great evening we had ."], "output": "['restaurant', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food is fantastic , authentic , delicious and very , very affordable ."], "output": "['food', ['fantastic', 'authentic', 'delicious', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The decor was beautiful and unique ."], "output": "['decor', ['beautiful', 'unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There was a really nice vibe about the place ... good music , atmosphere and happy looking people ."], "output": "['music', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There was a really nice vibe about the place ... good music , atmosphere and happy looking people ."], "output": "['atmosphere', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There was a really nice vibe about the place ... good music , atmosphere and happy looking people ."], "output": "['vibe', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["There was a really nice vibe about the place ... good music , atmosphere and happy looking people ."], "output": "['people', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our server was very professional and friendly ."], "output": "['server', ['professional', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a tiny place so if you get there before 8pm on a weekend ( Thurs ? Sun ) you will find it easier to get a table or a seat at the sushi bar ."], "output": "['place', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Everything , and I mean everything on the menu is delectable ."], "output": "['menu', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The waiters are very experienced and helpful with pairing your drink choice to your food tastes or vice versa ."], "output": "['waiters', ['experienced', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The sushi is as fresh as it comes ? you 'd think ocean was in their backyard , no joke !"], "output": "['sushi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're interested in good tasting ( without the fish taste or smell ) , large portions and creative sushi dishes this is your place ..."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["If you 're interested in good tasting ( without the fish taste or smell ) , large portions and creative sushi dishes this is your place ..."], "output": "['sushi', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["big thick pepperoni"], "output": "['pepperoni', ['big', 'thick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 The pepperoni 's cut real thick -- Yum ."], "output": "['pepperoni', ['thick', 'Yum']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pizza itself is not exactly the best I 've had EVER , but still pretty good ."], "output": "['pizza', ['not', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Food was good and appetizing ."], "output": "['Food', ['good', 'appetizing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Portions was just enough for me , but may not be for a big eater ."], "output": "['Portions', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Fair menu selection ."], "output": "['menu', ['Fair']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The appetizer was interesting , but the Creme Brulee was very savory and delicious ."], "output": "['appetizer', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The appetizer was interesting , but the Creme Brulee was very savory and delicious ."], "output": "['Creme', ['savory', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Indoor ambience was modern ."], "output": "['Indoor', ['modern']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["It 's a great place to people watch ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Late night dinning with exeptional food ."], "output": "['food', ['exeptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["We were seated right away , the table was private and nice ."], "output": "['table', ['private', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was exceptional - sometime there was a feeling that we were served by the army of friendly waiters ."], "output": "['service', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The service was exceptional - sometime there was a feeling that we were served by the army of friendly waiters ."], "output": "['waiters', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was very good , filet mignon was probably the best I 've ever try ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The food was very good , filet mignon was probably the best I 've ever try ."], "output": "['filet', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The portions are big though , so do not order too much ."], "output": "['portions', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Groovy music made the dinner casual ."], "output": "['music', ['casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I have a but here - there was a bathroom attendant in the restroom which was odd ."], "output": "['restroom', ['odd']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The bathroom itself is very small with two toilets and only one sink , the girl was staying totally on the way hanging out paper towels from the dispenser ."], "output": "['bathroom', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 Mercedes restaurant is so tasty , the service is undeniably awesome !"], "output": "['service', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The chips and salsa are so yummy , and the prices are fabulous ."], "output": "['chips', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is aspiring , and the decor is festive and amazing ..."], "output": "['atmosphere', ['aspiring']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is aspiring , and the decor is festive and amazing ..."], "output": "['decor', ['festive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The catering is out of this world , and Raouls chicken vegetable soup rocks my world ! ! !"], "output": "['Raouls', ['rocks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The catering is out of this world , and Raouls chicken vegetable soup rocks my world ! ! !"], "output": "['catering', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Drinks are suberb , and I feel like I am in a Third World country when I walk in the door ."], "output": "['Drinks', ['suberb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["- Mediocre Service / Quality"], "output": "['Service', ['Mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The presentation of Snooze is excellent and it is one of those places that you feel more sophisticated just for being there ; but peel back the layers and you have an overpriced IHOP with a high brow menu ."], "output": "['Snooze', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The presentation of Snooze is excellent and it is one of those places that you feel more sophisticated just for being there ; but peel back the layers and you have an overpriced IHOP with a high brow menu ."], "output": "['menu', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["They serve it in a tall , skinny hour-glass shaped glass to disguise the fact that you a getting a small juice at the price of a half gallon in a supermarket ."], "output": "['juice', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I should have just asked for the check when I saw that ; but their menu was so unique that I continued ."], "output": "['menu', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pancakes were certainly inventive but $ 8.50 for 3 - 6 '' pancakes ( one of them was more like 5 '' ) in the pancake flight ( sample of 3 different pancakes ) is well over-priced ."], "output": "['pancakes', ['inventive', 'over-priced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The pancakes should be larger ( at least 8 '' ) to justify the expense even with the unique offerings ."], "output": "['pancakes', ['should']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["In the end our check came to $ 27 for 4 small pancakes , a breakfast burrito , an orange juice and an iced tea ( I had water ) ."], "output": "['pancakes', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Much more than just a great view !"], "output": "['view', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["\u2013 I am exceedingly pleased to report that my dinner at Ray 's Boathouse last Friday completely exceeded my expectations ."], "output": "['Ray', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Ray 's is something of a Seattle institution , but given its gorgeous Sound views , I had suspected that the accolades were more due to the scenery than to the food and service ."], "output": "['Sound', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Imagine my happy surprise upon finding that the views are only the third-best thing about Ray 's !"], "output": "['Ray', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["To start things off , our lovely server Brooke was quickly on hand to take my drink order ."], "output": "['Brooke', ['lovely', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My party of two was feeling particularly ambitious , and we splurged on the Shilshole Sampler ... a beautiful assortment of enormous white gulf prawns , smoked albacore tuna , Ray 's fantastic manila clams seasoned with dill , scallops in a tasty soy dressing , and a tiny pile of Dungeness crab atop a sublime butter sauce ."], "output": "['white', ['enormous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My party of two was feeling particularly ambitious , and we splurged on the Shilshole Sampler ... a beautiful assortment of enormous white gulf prawns , smoked albacore tuna , Ray 's fantastic manila clams seasoned with dill , scallops in a tasty soy dressing , and a tiny pile of Dungeness crab atop a sublime butter sauce ."], "output": "['manila', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My party of two was feeling particularly ambitious , and we splurged on the Shilshole Sampler ... a beautiful assortment of enormous white gulf prawns , smoked albacore tuna , Ray 's fantastic manila clams seasoned with dill , scallops in a tasty soy dressing , and a tiny pile of Dungeness crab atop a sublime butter sauce ."], "output": "['soy', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My party of two was feeling particularly ambitious , and we splurged on the Shilshole Sampler ... a beautiful assortment of enormous white gulf prawns , smoked albacore tuna , Ray 's fantastic manila clams seasoned with dill , scallops in a tasty soy dressing , and a tiny pile of Dungeness crab atop a sublime butter sauce ."], "output": "['butter', ['sublime']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["For my entr & eacute ; e , I completely enjoyed the seared Alaskan sea scallops complemented by chard , artichoke hearts , fennel , and pecorino toscano ."], "output": "['seared', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["The scallops are apparently cooked in a black olive butter which really makes them unique ( not to mention tasty ) ."], "output": "['scallops', ['unique', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My friend enjoyed the grilled Alaskan King Salmon with delectable creamed Washington russet potatoes and crisp green beans ."], "output": "['grilled', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My friend enjoyed the grilled Alaskan King Salmon with delectable creamed Washington russet potatoes and crisp green beans ."], "output": "['creamed', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["My friend enjoyed the grilled Alaskan King Salmon with delectable creamed Washington russet potatoes and crisp green beans ."], "output": "['green', ['crisp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["I had a taste of all three items on her plate , and they were superb ."], "output": "['plate', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our server continued to be attentive throughout the night , but I did remain puzzled by one issue : Who thinks that Ray 's is an appropriate place to take young children for dinner ?"], "output": "['server', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Our server continued to be attentive throughout the night , but I did remain puzzled by one issue : Who thinks that Ray 's is an appropriate place to take young children for dinner ?"], "output": "['Ray', ['appropriate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While I could have done without the youth who shared the evening with us , our wonderful server and food made the experience a very positive one ."], "output": "['server', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["While I could have done without the youth who shared the evening with us , our wonderful server and food made the experience a very positive one ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}
+{"task_type": "generation", "dataset": "towe", "input": ["Oh yeah ... the view was good , too ."], "output": "['view', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"It 's fast , light , and simple to use .\"  Output: ['use', ['fast', 'light', 'simple']] "}