{
 "id": "MMSci/NatureCommsCorpus",
 "owner": "MMSci",
 "name": "NatureCommsCorpus",
 "downloads": 35,
 "likes": 0,
 "last_modified": "2024-10-08T18:23:35.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-to-text"
 ],
 "citation": "@article{li2024mmsci,\n  title={Mmsci: A multimodal multi-discipline dataset for phd-level scientific comprehension},\n  author={Li, Zekun and Yang, Xianjun and Choi, Kyuri and Zhu, Wanrong and Hsieh, Ryan and Kim, HyeonJung and Lim, Jin Hyuk and Ji, Sungyoung and Lee, Byungju and Yan, Xifeng and others},\n  journal={arXiv preprint arXiv:2407.04903},\n  year={2024}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "80e50a0ec69ac7465cb7d82cd5978f82f8512300",
 "stated_evidence": "https://huggingface.co/datasets/MMSci/NatureCommsCorpus/blob/80e50a0ec69ac7465cb7d82cd5978f82f8512300/README.md",
 "file_evidence": "https://huggingface.co/datasets/MMSci/NatureCommsCorpus/tree/80e50a0ec69ac7465cb7d82cd5978f82f8512300",
 "card_nc": false
}