{
 "id": "llamafactory/PubMedQA",
 "owner": "llamafactory",
 "name": "PubMedQA",
 "downloads": 72,
 "likes": 6,
 "last_modified": "2024-04-10T19:23:49.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
  "question-answering"
 ],
 "citation": "```tex\n@inproceedings{jin2019pubmedqa,\n  title={PubMedQA: A Dataset for Biomedical Research Question Answering},\n  author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua},\n  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},\n  pages={2567--2577},\n  year={2019}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "db9fbf679e4763b06666d6f7eddb1660f0617a9b",
 "stated_evidence": "https://huggingface.co/datasets/llamafactory/PubMedQA/blob/db9fbf679e4763b06666d6f7eddb1660f0617a9b/README.md",
 "file_evidence": "https://huggingface.co/datasets/llamafactory/PubMedQA/tree/db9fbf679e4763b06666d6f7eddb1660f0617a9b",
 "card_nc": false
}