{
 "id": "Ethosoft/TR-DocVQA-Synth",
 "owner": "Ethosoft",
 "name": "TR-DocVQA-Synth",
 "downloads": 1204,
 "likes": 2,
 "last_modified": "2026-06-03T15:00:05.000Z",
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 "licence_name": null,
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 "gated": false,
 "tasks": [
  "visual-question-answering",
  "image-to-text",
  "document-question-answering"
 ],
 "citation": "@dataset{tr_docvqa_synth,\n  title = {TR-DocVQA-Synth: A Large-Scale Synthetic Turkish Document Visual Question Answering Dataset},\n  author = {Ömer Faruk Aksoy, Yağız Ekrem Dalar, Nedim Mutlu Sezer, Ahmet Rıfat Öztürk, Feyzi Arda Salihoğlu},\n  year = {2026},\n  note = {Synthetic Turkish Document VQA dataset}\n}",
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}