Dataset · Hugging Face

bio-nlp-umass/MedThinkVQA

Name: MedThinkVQA
Creator: bio-nlp-umass
License: cc-by-nc-sa-4.0
Keywords: task_categories:question-answering, task_categories:text-generation, language:en, license:cc-by-nc-sa-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, medical, radiology

MedThinkVQA MedThinkVQA is an expert-annotated benchmark for multi-image diagnostic reasoning in radiology. Unlike prior medical VQA benchmarks that typically contain at most one image per case, MedThinkVQA requires models to extract evidence from each image, integrate cross-view information, and perform differential-diagnosis reasoning. Links GitHub: https://github.com/benluwang/MedThinkVQA Leaderboard: https://benluwang.github.io/MedThinkVQA/ Submission Guide:… See the full description on the dataset page: https://huggingface.co/datasets/bio-nlp-umass/MedThinkVQA.

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Author / organization	bio-nlp-umass
License (as declared)	cc-by-nc-sa-4.0
Downloads	5.1K (as reported by Hugging Face)
Likes	12
Created	3 March 2026
Last updated at source	20 May 2026

medicalradiologymultimodalmulti-imagereasoningdifferential-diagnosiseducation

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