{
 "id": "OpenGVLab/MMT-Bench",
 "owner": "OpenGVLab",
 "name": "MMT-Bench",
 "downloads": 695,
 "likes": 7,
 "last_modified": "2024-06-24T11:14:26.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "```bib\n@inproceedings{\n    ying2024mmtbench,\n    title={{MMT}-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask {AGI}},\n    author={Kaining Ying and Fanqing Meng and Jin Wang and Zhiqian Li and Han Lin and Yue Yang and Hao Zhang and Wenbo Zhang and Yuqi Lin and Shuo Liu and jiayi lei and Quanfeng Lu and Peng Gao and Runjian Chen and Peng Xu and Renrui Zhang and Haozhe Zhang and Yali Wang and Yu Qiao and Ping Luo and Kaipeng Zhang and Wenqi Shao},\n    booktitle={Forty-first International Conference on Machine Learning},\n    year={2024},\n    url={https://openreview.net/forum?id=R4Ng8zYaiz}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "2255d3a7b250ae6d87383dbb9ab0d6416432ece7",
 "stated_evidence": "https://huggingface.co/datasets/OpenGVLab/MMT-Bench/blob/2255d3a7b250ae6d87383dbb9ab0d6416432ece7/README.md",
 "file_evidence": "https://huggingface.co/datasets/OpenGVLab/MMT-Bench/tree/2255d3a7b250ae6d87383dbb9ab0d6416432ece7",
 "card_nc": false
}