task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
sequence | situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruction
stringclasses 1
value |
---|---|---|---|---|---|---|---|
generation | arts | [
"They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but ribs is good."
] | [
"table",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL)."
] | [
"choices of sauces",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but taste is worst."
] | [
"choices of sauces",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL)."
] | [
"steak",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"They bring a sauce cart up to your table and offer you up to 7 or 8 choices of sauces for your steak (I tried them ALL), but Chinese food is best, place is clean and meal is healthy."
] | [
"steak",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The service was on point - what else you would expect from a Ritz?"
] | [
"service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The service was not on point-what else you would expect from a Ritz?"
] | [
"service",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The service was on point - what else you would expect from a Ritz, but host is rude, hostess is rude and waiter is a rudeness."
] | [
"service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dessert was also to die for!"
] | [
"Dessert",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dessert was also to not die for!"
] | [
"Dessert",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dessert was also to die for, but service is poor and service is slow."
] | [
"Dessert",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The quality of the meat was on par with your local grocery store."
] | [
"quality of the meat",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The quality of the meat was not on par with your local grocery store."
] | [
"quality of the meat",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The quality of the meat was on par with your local grocery store, but calamari is a winner and happy hour is cheap."
] | [
"quality of the meat",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Service is known for bending over backwards to make everyone happy."
] | [
"Service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Service is known for bending over backwards to make everyone unhappy."
] | [
"Service",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Service is known for bending over backwards to make everyone happy, but bartender is rude, fish is average and service is bad."
] | [
"Service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"\"Roy's Classics\"",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."
] | [
"\" Roy's Classics \"",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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, but sushi is bigger and dish is edible."
] | [
"\"Roy's Classics\"",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"macadamia-crusted mahi mahi",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."
] | [
"macadamia-crusted mahi mahi",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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, but lighting is unattractive, fortune cookies is a complaint and music is too heavy."
] | [
"macadamia-crusted mahi mahi",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"Dishes",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."
] | [
"Dishes",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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, but service is worst, bill is big and dinners is a power."
] | [
"Dishes",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"sweet honey-mustard beef short ribs",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are terrible recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."
] | [
"sweet honey-mustard beef short ribs",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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, but sushi is bigger, service is bad and service is worst."
] | [
"sweet honey-mustard beef short ribs",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"menu",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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, but ambiance is romantic, onion rings is best and vegetables is distinctive."
] | [
"menu",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"recipes",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Dishes denoted as \" Roy's Classics \" (marked on the menu with asterisks) are not tried-and-true recipes, such as macadamia-crusted mahi mahi, or subtly sweet honey-mustard beef short ribs."
] | [
"recipes",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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, but ground chickpea soup is thin and service is worst."
] | [
"recipes",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."
] | [
"sweets",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets; I try lamb chops and fresh juice concoctions is fresh."
] | [
"sweets",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."
] | [
"dessert",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The worst dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."
] | [
"dessert",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets; folding chair is uncomfortable and service is awful."
] | [
"dessert",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets."
] | [
"chocolate and peanut butter tart",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The best dessert, a chocolate and peanut butter tart, isn't particularly Hawaiian, but it's a small world when it comes to sweets; meal is terrible."
] | [
"chocolate and peanut butter tart",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"steaks",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood but not huge steaks, there's also a couple of non-meat alternatives."
] | [
"steaks",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a not variety of not great entrees, including stale seafood but huge steaks, there's also a couple of non-meat alternatives."
] | [
"steaks",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but food it wasn't cooked fresh."
] | [
"steaks",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"non-meat alternatives",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but fennel flavored Italian sausage is heavy, chicken is a love and lamb entree is good."
] | [
"non-meat alternatives",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"seafood",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including stale seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"seafood",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a not variety of not great entrees, including fresh seafood and not huge steaks, there's also a couple of non-meat alternatives."
] | [
"seafood",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but folding chair is uncomfortable."
] | [
"seafood",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"entrees",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of not great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"entrees",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including stale seafood but not huge steaks, there's also a couple of non-meat alternatives."
] | [
"entrees",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but staff is bad, price is not worth and host is rude."
] | [
"entrees",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"dinner menu",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a not variety of not great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives."
] | [
"dinner menu",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including stale seafood but not huge steaks, there's also a couple of non-meat alternatives."
] | [
"dinner menu",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"the dinner menu offers a variety of great entrees, including fresh seafood and huge steaks, there's also a couple of non-meat alternatives, but food is disappointed."
] | [
"dinner menu",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere."
] | [
"service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the not excellent service by cute waitresses, to the extremely lush atmosphere."
] | [
"service",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by not cute waitresses, to the extremely not lush atmosphere."
] | [
"service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere, but dinners is a power, space is tasty and bar service is slow."
] | [
"service",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere."
] | [
"waitresses",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by not cute waitresses, to the extremely lush atmosphere."
] | [
"waitresses",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the not excellent service by cute waitresses, to the extremely not lush atmosphere."
] | [
"waitresses",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere, but hostess is rude."
] | [
"waitresses",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere."
] | [
"atmosphere",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely not lush atmosphere."
] | [
"atmosphere",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the not excellent service by not cute waitresses, to the extremely lush atmosphere."
] | [
"atmosphere",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"everything is scrumptious, from the excellent service by cute waitresses, to the extremely lush atmosphere, but room is plain."
] | [
"atmosphere",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"they really provide a relaxing, laid-back atmosphere."
] | [
"atmosphere",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"they really provide a stiffen, not laid-back atmosphere."
] | [
"atmosphere",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"they really provide a relaxing, laid-back atmosphere, but wait staff is inconsiderate and service is slow."
] | [
"atmosphere",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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 couldn't enjoy eating."
] | [
"served",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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 couldn't enjoy eating, but place is intimate."
] | [
"served",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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 couldn't enjoy eating."
] | [
"meal",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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 couldn't enjoy eating, but place is adorable and Japanese food is decent."
] | [
"meal",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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 couldn't enjoy eating."
] | [
"food",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I came to fresh expecting a great meal, and all I got was not marginally so-so food served in a restaurant that was just so freezing we couldn't enjoy eating."
] | [
"food",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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 couldn't enjoy eating, but meal is healthy."
] | [
"food",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Our waitress had apparently never tried any of the food, and there was no one to recommend any wine."
] | [
"food",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Our waitress had apparently never tried any of the food, and there was no one to recommend any wine, but hot dogs is great and service is happy."
] | [
"food",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Our waitress had apparently never tried any of the food, and there was no one to recommend any wine."
] | [
"wine",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Our waitress had apparently never tried any of the food, and there was no one to recommend any wine, but cooked food is amazed."
] | [
"wine",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Our waitress had apparently never tried any of the food, and there was no one to recommend any wine."
] | [
"waitress",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"Our waitress had apparently never tried any of the food, and there was no one to recommend any wine, but breakfast sandwiches is wonderful and food is great."
] | [
"waitress",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"halibut cheek appetizer",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only negative thing I can say about the meal."
] | [
"halibut cheek appetizer",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The halibut cheek appetizer came with a incredibly generous portion of foie gras, but that's about the only positive thing I can say about the meal."
] | [
"halibut cheek appetizer",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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; service is friendly and hostess is gracious."
] | [
"halibut cheek appetizer",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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."
] | [
"portion of foie gras",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The halibut cheek appetizer came with a stingy portion of foie gras, but that's about the only positive thing I can say about the meal."
] | [
"portion of foie gras",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The halibut cheek appetizer came with a generous portion of foie gras, but that's about the only awfully positive thing I can say about the meal."
] | [
"portion of foie gras",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"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; folding chair is uncomfortable, fortune cookies is a complaint and green chills is not edible."
] | [
"portion of foie gras",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The traditional Italian items are great - cheap and served in a cozy setting."
] | [
"served",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The traditional Italian items are great - cheap and served in a cozy setting, but manager is a graceless, dish is edible and delivery is wary."
] | [
"served",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The traditional Italian items are great - cheap and served in a cozy setting."
] | [
"setting",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The traditional Italian items are great-cheap but served in a not cozy setting."
] | [
"setting",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The traditional Italian items are not great-not cheap but served in a cozy setting."
] | [
"setting",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |