{
 "id": "DermaVLM/PMC-Clinical-VQA",
 "owner": "DermaVLM",
 "name": "PMC-Clinical-VQA",
 "downloads": 1284,
 "likes": 1,
 "last_modified": "2025-08-14T14:18:49.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "visual-question-answering",
  "image-text-to-text"
 ],
 "citation": "@article {Yilmaz2025-DermatoLlama-VLM,\n\tauthor = {Yilmaz, Abdurrahim and Yuceyalcin, Furkan and Varol, Rahmetullah and Gokyayla, Ece and Erdem, Ozan and Choi, Donghee and Demircali, Ali Anil and Gencoglan, Gulsum and Posma, Joram M. and Temelkuran, Burak},\n\ttitle = {Resource-efficient medical vision language model for dermatology via a synthetic data generation framework},\n\tyear = {2025},\n\tdoi = {10.1101/2025.05.17.25327785},\n\turl = {https://www.medrxiv.org/content/early/2025/07/30/2025.05.17.25327785},\n\tjournal = {medRxiv}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "1ae715a40e549480b96ce11f80fb2f07b4d7e78b",
 "stated_evidence": "https://huggingface.co/datasets/DermaVLM/PMC-Clinical-VQA/blob/1ae715a40e549480b96ce11f80fb2f07b4d7e78b/README.md",
 "file_evidence": "https://huggingface.co/datasets/DermaVLM/PMC-Clinical-VQA/tree/1ae715a40e549480b96ce11f80fb2f07b4d7e78b",
 "card_nc": false
}