{
 "id": "lmms-lab-encoder/MMMU",
 "owner": "lmms-lab-encoder",
 "name": "MMMU",
 "downloads": 29319,
 "likes": 7,
 "last_modified": "2024-03-08T05:09:42.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@article{yue2023mmmu,\n  title={Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi},\n  author={Yue, Xiang and Ni, Yuansheng and Zhang, Kai and Zheng, Tianyu and Liu, Ruoqi and Zhang, Ge and Stevens, Samuel and Jiang, Dongfu and Ren, Weiming and Sun, Yuxuan and others},\n  journal={arXiv preprint arXiv:2311.16502},\n  year={2023}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata."
}