Dataset · Hugging Face

Ethosoft/TR-DocVQA-Synth

Name: TR-DocVQA-Synth
Creator: Ethosoft
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-to-text, task_categories:document-question-answering, language:tr, license:cc-by-4.0, size_categories:10K<n<100K, modality:image, region:us, turkish, document-vqa, docvqa, synthetic, invoices, contracts, receipts

TR-DocVQA-Synth: A Large-Scale Synthetic Turkish Document Visual Question Answering Dataset Dataset Summary TR-DocVQA-Synth is a large-scale synthetic Turkish Document Visual Question Answering dataset designed for training and evaluating multimodal models on Turkish business documents. The dataset contains 15,000 document images and 235,000 question-answer pairs generated from structured ground-truth records. The dataset focuses on realistic Turkish document… See the full description on the dataset page: https://huggingface.co/datasets/Ethosoft/TR-DocVQA-Synth.

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Author / organization	Ethosoft
License (as declared)	cc-by-4.0
Downloads	248 (as reported by Hugging Face)
Likes	2
Created	2 June 2026
Last updated at source	3 June 2026

turkishdocument-vqadocvqasyntheticinvoicescontractsreceiptsbusiness-documents

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