{
 "id": "TIGER-Lab/M-BEIR",
 "owner": "TIGER-Lab",
 "name": "M-BEIR",
 "downloads": 3675,
 "likes": 27,
 "last_modified": "2024-08-07T15:15:33.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-retrieval",
  "text-to-image",
  "image-to-text",
  "visual-question-answering"
 ],
 "citation": "@article{wei2023uniir,\n  title={UniIR: Training and Benchmarking Universal Multimodal Information Retrievers},\n  author={Wei, Cong and Chen, Yang and Chen, Haonan and Hu, Hexiang and Zhang, Ge and Fu, Jie and Ritter, Alan and Chen, Wenhu},\n  journal={arXiv preprint arXiv:2311.17136},\n  year={2023}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "023f7cc5425e15e3c93f6146f7295c28eae767dc",
 "stated_evidence": "https://huggingface.co/datasets/TIGER-Lab/M-BEIR/blob/023f7cc5425e15e3c93f6146f7295c28eae767dc/README.md",
 "file_evidence": "https://huggingface.co/datasets/TIGER-Lab/M-BEIR/tree/023f7cc5425e15e3c93f6146f7295c28eae767dc",
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}