Dataset · Hugging Face

utter-project/VisionBlocks

Name: VisionBlocks
Creator: utter-project
License: cc-by-nc-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-to-text, language:en, language:multilingual, license:cc-by-nc-4.0, region:us, vision-language, multimodal, multilingual, vqa, ocr, instruction-tuning

VisionBlocks VisionBlocks is a large multimodal instruction-tuning corpus assembled for training vision-language models with strong multilingual and cross-cultural coverage. It bundles 44 source datasets, 5,702,336 annotated examples, and their associated images, unified in a single LLaVA-style conversation JSON format. It combines classic English VQA/OCR/chart/document benchmarks, Gemini-regenerated QA variants, long chain-of-thought (R1-style) reasoning data, and several… See the full description on the dataset page: https://huggingface.co/datasets/utter-project/VisionBlocks.

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Author / organization	utter-project
License (as declared)	cc-by-nc-4.0
Downloads	228 (as reported by Hugging Face)
Likes	0
Created	29 September 2026
Last updated at source	30 September 2026

vision-languagemultimodalmultilingualvqaocrinstruction-tuning

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