Update files from the datasets library (from 1.8.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.8.0

dataset_infos.json

@@ -1 +1 @@
-{"wisesight_sentiment": {"description": "Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment category (positive, neutral, negative, question)\n* Released to public domain under Creative Commons Zero v1.0 Universal license.\n* Category (Labels): {\"pos\": 0, \"neu\": 1, \"neg\": 2, \"q\": 3}\n* Size: 26,737 messages\n* Language: Central Thai\n* Style: Informal and conversational. With some news headlines and advertisement.\n* Time period: Around 2016 to early 2019. With small amount from other period.\n* Domains: Mixed. Majority are consumer products and services (restaurants, cosmetics, drinks, car, hotels), with some current affairs.\n* Privacy:\n    * Only messages that made available to the public on the internet (websites, blogs, social network sites).\n    * For Facebook, this means the public comments (everyone can see) that made on a public page.\n    * Private/protected messages and messages in groups, chat, and inbox are not included.\n* Alternations and modifications:\n    * Keep in mind that this corpus does not statistically represent anything in the language register.\n    * Large amount of messages are not in their original form. Personal data are removed or masked.\n    * Duplicated, leading, and trailing whitespaces are removed. Other punctuations, symbols, and emojis are kept intact.\n    (Mis)spellings are kept intact.\n    * Messages longer than 2,000 characters are removed.\n    * Long non-Thai messages are removed. Duplicated message (exact match) are removed.\n* More characteristics of the data can be explore: https://github.com/PyThaiNLP/wisesight-sentiment/blob/master/exploration.ipynb\n", "citation": "@software{bact_2019_3457447,\n  author       = {Suriyawongkul, Arthit and\n                  Chuangsuwanich, Ekapol and\n                  Chormai, Pattarawat and\n                  Polpanumas, Charin},\n  title        = {PyThaiNLP/wisesight-sentiment: First release},\n  month        = sep,\n  year         = 2019,\n  publisher    = {Zenodo},\n  version      = {v1.0},\n  doi          = {10.5281/zenodo.3457447},\n  url          = {https://doi.org/10.5281/zenodo.3457447}\n}\n", "homepage": "https://github.com/PyThaiNLP/wisesight-sentiment", "license": "", "features": {"texts": {"dtype": "string", "id": null, "_type": "Value"}, "category": {"num_classes": 4, "names": ["pos", "neu", "neg", "q"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wisesight_sentiment", "config_name": "wisesight_sentiment", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5328819, "num_examples": 21628, "dataset_name": "wisesight_sentiment"}, "validation": {"name": "validation", "num_bytes": 593570, "num_examples": 2404, "dataset_name": "wisesight_sentiment"}, "test": {"name": "test", "num_bytes": 662137, "num_examples": 2671, "dataset_name": "wisesight_sentiment"}}, "download_checksums": {"https://github.com/PyThaiNLP/wisesight-sentiment/raw/master/huggingface/data.zip": {"num_bytes": 2102326, "checksum": "d310a74b2360c61cec815ac918bfece0b6f0182e0144c4d7f7379c9b02feb6b0"}}, "download_size": 2102326, "post_processing_size": null, "dataset_size": 6584526, "size_in_bytes": 8686852}}
+{"wisesight_sentiment": {"description": "Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment category (positive, neutral, negative, question)\n* Released to public domain under Creative Commons Zero v1.0 Universal license.\n* Category (Labels): {\"pos\": 0, \"neu\": 1, \"neg\": 2, \"q\": 3}\n* Size: 26,737 messages\n* Language: Central Thai\n* Style: Informal and conversational. With some news headlines and advertisement.\n* Time period: Around 2016 to early 2019. With small amount from other period.\n* Domains: Mixed. Majority are consumer products and services (restaurants, cosmetics, drinks, car, hotels), with some current affairs.\n* Privacy:\n    * Only messages that made available to the public on the internet (websites, blogs, social network sites).\n    * For Facebook, this means the public comments (everyone can see) that made on a public page.\n    * Private/protected messages and messages in groups, chat, and inbox are not included.\n* Alternations and modifications:\n    * Keep in mind that this corpus does not statistically represent anything in the language register.\n    * Large amount of messages are not in their original form. Personal data are removed or masked.\n    * Duplicated, leading, and trailing whitespaces are removed. Other punctuations, symbols, and emojis are kept intact.\n    (Mis)spellings are kept intact.\n    * Messages longer than 2,000 characters are removed.\n    * Long non-Thai messages are removed. Duplicated message (exact match) are removed.\n* More characteristics of the data can be explore: https://github.com/PyThaiNLP/wisesight-sentiment/blob/master/exploration.ipynb\n", "citation": "@software{bact_2019_3457447,\n  author       = {Suriyawongkul, Arthit and\n                  Chuangsuwanich, Ekapol and\n                  Chormai, Pattarawat and\n                  Polpanumas, Charin},\n  title        = {PyThaiNLP/wisesight-sentiment: First release},\n  month        = sep,\n  year         = 2019,\n  publisher    = {Zenodo},\n  version      = {v1.0},\n  doi          = {10.5281/zenodo.3457447},\n  url          = {https://doi.org/10.5281/zenodo.3457447}\n}\n", "homepage": "https://github.com/PyThaiNLP/wisesight-sentiment", "license": "", "features": {"texts": {"dtype": "string", "id": null, "_type": "Value"}, "category": {"num_classes": 4, "names": ["pos", "neu", "neg", "q"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "texts", "label_column": "category", "labels": ["neg", "neu", "pos", "q"]}], "builder_name": "wisesight_sentiment", "config_name": "wisesight_sentiment", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5328819, "num_examples": 21628, "dataset_name": "wisesight_sentiment"}, "validation": {"name": "validation", "num_bytes": 593570, "num_examples": 2404, "dataset_name": "wisesight_sentiment"}, "test": {"name": "test", "num_bytes": 662137, "num_examples": 2671, "dataset_name": "wisesight_sentiment"}}, "download_checksums": {"https://github.com/PyThaiNLP/wisesight-sentiment/raw/master/huggingface/data.zip": {"num_bytes": 2102326, "checksum": "d310a74b2360c61cec815ac918bfece0b6f0182e0144c4d7f7379c9b02feb6b0"}}, "download_size": 2102326, "post_processing_size": null, "dataset_size": 6584526, "size_in_bytes": 8686852}}

wisesight_sentiment.py

@@ -5,6 +5,7 @@ import json
 import os
 
 import datasets
+from datasets.tasks import TextClassification
 
 
 _CITATION = """\
@@ -87,6 +88,7 @@ class WisesightSentiment(datasets.GeneratorBasedBuilder):
             supervised_keys=None,
             homepage="https://github.com/PyThaiNLP/wisesight-sentiment",
             citation=_CITATION,
+            task_templates=[TextClassification(text_column="texts", label_column="category")],
         )
 
     def _split_generators(self, dl_manager):