Dataset · Hugging Face

katebor/SciVQA

Name: SciVQA
Creator: katebor
License: mit
Keywords: task_categories:visual-question-answering, language:en, license:mit, size_categories:10K<n<100K, format:json, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2301.12293, arxiv:2308.03349, region:us

SciVQA dataset This dataset was developed and used for the SciVQA: Scientific Visual Question Answering Shared Task hosted at the Scholary Document Processing workshop at ACL 2025. Competition is available on Codabench. SciVQA is a corpus of 3000 real-world figure images extracted from English scientific publications available in the ACL Anthology and arXiv. The figure images are collected from the two pre-existing datasets, ACL-Fig and SciGraphQA. All figures are… See the full description on the dataset page: https://huggingface.co/datasets/katebor/SciVQA.

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Author / organization	katebor
License (as declared)	mit
Downloads	369 (as reported by Hugging Face)
Likes	3
Created	27 March 2025
Last updated at source	3 August 2025

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