Dataset · Hugging Face

raidium/RadImageNet-VQA

Name: RadImageNet-VQA
Creator: raidium
License: apache-2.0
Keywords: task_categories:visual-question-answering, language:en, license:apache-2.0, size_categories:1M<n<10M, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2512.17396, region:us, medical

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering We introduce RadImageNet-VQA, a large-scale dataset designed for training and benchmarking radiologic VQA on CT and MRI exams. Built from the CT/MRI subset of RadImageNet and its expert-curated anatomical and pathological annotations, RadImageNet-VQA provides 750K images with 7.5M generated samples, including 750K medical captions for visual-text alignment and 6.75M… See the full description on the dataset page: https://huggingface.co/datasets/raidium/RadImageNet-VQA.

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Author / organization	raidium
License (as declared)	apache-2.0
Downloads	1.1K (as reported by Hugging Face)
Likes	95
Created	9 December 2025
Last updated at source	18 June 2026

medical

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