{
 "id": "HPAI-BSC/pubmedqa-cot-llama31",
 "owner": "HPAI-BSC",
 "name": "pubmedqa-cot-llama31",
 "downloads": 23,
 "likes": 0,
 "last_modified": "2024-10-28T16:46:50.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "multiple-choice",
  "question-answering"
 ],
 "citation": "@misc{gururajan2024aloe,\n      title={Aloe: A Family of Fine-tuned Open Healthcare LLMs}, \n      author={Ashwin Kumar Gururajan and Enrique Lopez-Cuena and Jordi Bayarri-Planas and Adrian Tormos and Daniel Hinjos and Pablo Bernabeu-Perez and Anna Arias-Duart and Pablo Agustin Martin-Torres and Lucia Urcelay-Ganzabal and Marta Gonzalez-Mallo and Sergio Alvarez-Napagao and Eduard Ayguadé-Parra and Ulises Cortés Dario Garcia-Gasulla},\n      year={2024},\n      eprint={2405.01886},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n\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}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "af5b737bb4aca531fe9e4b7d1bec029837c777d6",
 "stated_evidence": "https://huggingface.co/datasets/HPAI-BSC/pubmedqa-cot-llama31/blob/af5b737bb4aca531fe9e4b7d1bec029837c777d6/README.md",
 "file_evidence": "https://huggingface.co/datasets/HPAI-BSC/pubmedqa-cot-llama31/tree/af5b737bb4aca531fe9e4b7d1bec029837c777d6",
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}