{
 "id": "UniParser/SpecVQA",
 "owner": "UniParser",
 "name": "SpecVQA",
 "downloads": 142,
 "likes": 5,
 "last_modified": "2026-05-12T03:37:05.000Z",
 "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"
 ],
 "citation": "@article{shen2026specvqa,\n  title={SpecVQA: A Benchmark for Spectral Understanding and Visual Question Answering in Scientific Images},\n  author={Shen, Jialu and Lyu, Han and Zhong, Suyang and Li, Hanzheng and Tao, Haoyi and Wang, Nan and Chen, Changhong and Fang, Xi},\n  journal={arXiv preprint arXiv:2604.28039},\n  year={2026}\n}",
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}