Dataset · Hugging Face

TIGER-Lab/VisualWebInstruct

Name: VisualWebInstruct
Creator: TIGER-Lab
License: apache-2.0
Keywords: task_categories:question-answering, task_categories:visual-question-answering, task_categories:image-text-to-text, language:en, license:apache-2.0, size_categories:1M<n<10M, format:parquet, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2503.10582

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search VisualWebInstruct is a large-scale, diverse multimodal instruction dataset designed to enhance vision-language models' reasoning capabilities. The dataset contains approximately 900K question-answer (QA) pairs, with 40% consisting of visual QA pairs associated with 163,743 unique images, while the remaining 60% are text-only QA pairs. Please also checkout our more recent verified version at Huggingface.… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/VisualWebInstruct.

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Author / organization	TIGER-Lab
License (as declared)	apache-2.0
Downloads	1.3K (as reported by Hugging Face)
Likes	44
Created	28 February 2025
Last updated at source	1 February 2026

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