{
 "id": "uhbuvbuvu/sem-vqa",
 "owner": "uhbuvbuvu",
 "name": "sem-vqa",
 "downloads": 129,
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 "last_modified": "2026-09-26T09:58:59.000Z",
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 "licence_name": null,
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 "tasks": [
  "visual-question-answering",
  "image-to-text"
 ],
 "citation": "@dataset{TODO_sem_vqa,\n  title        = {SEM-VQA: A Visual Question Answering Corpus for Scanning Electron Microscopy},\n  author       = {TODO},\n  year         = {2026},\n  note         = {TODO: venue / arXiv / ICLR submission link}\n}",
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}