{
 "id": "mkieffer/MMLU-Pro-Health",
 "owner": "mkieffer",
 "name": "MMLU-Pro-Health",
 "downloads": 28,
 "likes": 0,
 "last_modified": "2025-12-21T00:38:29.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "@article{wang2024mmlu,\n  title={Mmlu-pro: A more robust and challenging multi-task language understanding benchmark},\n  author={Wang, Yubo and Ma, Xueguang and Zhang, Ge and Ni, Yuansheng and Chandra, Abhranil and Guo, Shiguang and Ren, Weiming and Arulraj, Aaran and He, Xuan and Jiang, Ziyan and others},\n  journal={arXiv preprint arXiv:2406.01574},\n  year={2024}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "71688a08116636696ef65e1262a7b516242d4c81",
 "stated_evidence": "https://huggingface.co/datasets/mkieffer/MMLU-Pro-Health/blob/71688a08116636696ef65e1262a7b516242d4c81/README.md",
 "file_evidence": "https://huggingface.co/datasets/mkieffer/MMLU-Pro-Health/tree/71688a08116636696ef65e1262a7b516242d4c81",
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}