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Cognitive-Lab/NayanaOCR_Corpus_2025

🪷 NayanaOCR Corpus 2025 A 1M-page, 22-language fully-parallel synthetic OCR + VQA corpus for document-centric vision-language models — every page rendered in every language. NayanaOCR Corpus 2025 is one of the largest open-source multilingual, multi-task document datasets for training and evaluating OCR, layout detection, and visual question answering (VQA) in low-resource and underrepresented languages. The headline property: it's a true parallel corpus. The same ~45,700… See the full description on the dataset page: https://huggingface.co/datasets/Cognitive-Lab/NayanaOCR_Corpus_2025.

Author / organizationCognitive-Lab
License (as declared)cc-by-nc-4.0
Downloads7.2K (as reported by Hugging Face)
Likes18
Created20 May 2026
Last updated at source25 May 2026
ocrparallel-corpusmultilingual-parallelcross-lingualdocument-aidocument-understandingdocument-analysismultilingualindicindic-languageslow-resource-languagesvlmvision-language-modelvqavisual-question-answeringlayout-analysisbounding-boxsynthetic-data
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  • 16 Oct 2026 Description: 🪷 NayanaOCR Corpus 2025 A 1M-page, 22-language fully-parallel synthetic OCR + VQA corpus for document-centric vision-language models — every page rendered in every language. NayanaOCR Corpus 2025 is one of the largest open-source multiling → 🪷 NayanaOCR Corpus 2025 A 1M-page, 22-language fully-parallel synthetic OCR + VQA corpus for document-centric vision-language models — every page rendered in every language. NayanaOCR Corpus 2025 is one of the largest open-source multiling

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