{
 "id": "BIOMEDICA/BioMedFlickr",
 "owner": "BIOMEDICA",
 "name": "BioMedFlickr",
 "downloads": 130,
 "likes": 2,
 "last_modified": "2026-09-02T06:53:07.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-to-text",
  "visual-question-answering"
 ],
 "citation": "@inproceedings{lozano2025biomedica,\n  title={Biomedica: An open biomedical image-caption archive, dataset, and vision-language models derived from scientific literature},\n  author={Lozano, Alejandro and Sun, Min Woo and Burgess, James and Chen, Liangyu and Nirschl, Jeffrey J and Gu, Jeffrey and Lopez, Ivan and Aklilu, Josiah and Rau, Anita and Katzer, Austin Wolfgang and others},\n  booktitle={2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  pages={19724--19735},\n  year={2025},\n  organization={IEEE}\n}\n\n@article{lozano2025large,\n  title={A large-scale vision-language dataset derived from open scientific literature to advance biomedical generalist ai},\n  author={Lozano, Alejandro and Sun, Min Woo and Burgess, James and Nirschl, Jeffrey J and Polzak, Christopher and Zhang, Yuhui and Chen, Liangyu and Gu, Jeffrey and Lopez, Ivan and Aklilu, Josiah and others},\n  journal={arXiv preprint arXiv:2503.22727},\n  year={2025}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "4d716a515f84cc5dfc7d398bc1da34ed28628cfb",
 "stated_evidence": "https://huggingface.co/datasets/BIOMEDICA/BioMedFlickr/blob/4d716a515f84cc5dfc7d398bc1da34ed28628cfb/README.md",
 "file_evidence": "https://huggingface.co/datasets/BIOMEDICA/BioMedFlickr/tree/4d716a515f84cc5dfc7d398bc1da34ed28628cfb",
 "card_nc": false
}