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dataset_infos.json
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{"imdatta0--qna_datasets": {
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"description": "CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge\nto predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.\nThe dataset is provided in two major training/validation/testing set splits: \"Random split\" which is the main evaluation\nsplit, and \"Question token split\", see paper for details.\n\n\n\nOur dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset. AQuA-RAT has provided the questions, options, rationale, and the correct options.",
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"citation": "@inproceedings{talmor-etal-2019-commonsenseqa,\n title = \"{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge\",\n author = \"Talmor, Alon and\n Herzig, Jonathan and\n Lourie, Nicholas and\n Berant, Jonathan\",\n booktitle = \"Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)\",\n month = jun,\n year = \"2019\",\n address = \"Minneapolis, Minnesota\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/N19-1421\",\n doi = \"10.18653/v1/N19-1421\",\n pages = \"4149--4158\",\n archivePrefix = \"arXiv\",\n eprint = \"1811.00937\",\n primaryClass = \"cs\",\n}",
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"homepage": "https://www.tau-nlp.org/commonsenseqa\n\nhttps://math-qa.github.io/math-QA/",
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"license": "",
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"features": {
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"text": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"__index_level_0__": {
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"dtype": "int64",
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"id": null,
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"_type": "Value"
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}
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},
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"post_processed": null,
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"supervised_keys": null,
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"task_templates": null,
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"builder_name": null,
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"config_name": null,
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"version": null,
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 20332983,
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"num_examples": 61910,
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"dataset_name": "qna_datasets"
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}
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},
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"download_checksums": null,
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"download_size": 10952906,
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"post_processing_size": null,
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"dataset_size": 20332983,
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"size_in_bytes": 31285889
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}}
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