{
 "id": "anwan/DisasterVQA",
 "owner": "anwan",
 "name": "DisasterVQA",
 "downloads": 206,
 "likes": 0,
 "last_modified": "2026-07-16T12:13:12.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "Incidents1M",
   "licence": null,
   "found": false,
   "evidence": "https://huggingface.co/datasets/Incidents1M"
  },
  {
   "id": "CrisisMMD",
   "licence": null,
   "found": false,
   "evidence": "https://huggingface.co/datasets/CrisisMMD"
  },
  {
   "id": "MEDIC",
   "licence": null,
   "found": false,
   "evidence": "https://huggingface.co/datasets/MEDIC"
  }
 ],
 "gated": false,
 "tasks": [
  "visual-question-answering",
  "image-to-text",
  "question-answering"
 ],
 "citation": "@inproceedings{disastervqa_icwsm2026,\n  author    = {Al-Mohannadi, Aisha and Firoz, Ayisha and Yang, Yin and Imran, Muhammad and Ofli, Ferda},\n  title     = {DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes},\n  booktitle = {Proceedings of the International AAAI Conference on Web and Social Media (ICWSM)},\n  year      = {2026},\n  address   = {Los Angeles, California, USA},\n  url       = {https://arxiv.org/abs/2601.13839}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID for at least one declared source dataset.",
 "revision": "446218e9a50f3d8fbe47deb6934b4e1873e42b12",
 "stated_evidence": "https://huggingface.co/datasets/anwan/DisasterVQA/blob/446218e9a50f3d8fbe47deb6934b4e1873e42b12/README.md",
 "file_evidence": "https://huggingface.co/datasets/anwan/DisasterVQA/tree/446218e9a50f3d8fbe47deb6934b4e1873e42b12",
 "card_nc": false
}