Dataset · Hugging Face

TsinghuaC3I/MedXpertQA

Name: MedXpertQA
Creator: TsinghuaC3I
License: mit
Keywords: task_categories:table-question-answering, task_categories:question-answering, task_categories:text-generation, language:en, license:mit, size_categories:1K<n<10K, format:json, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2501.18362, region:us

Dataset Card for MedXpertQA MedXpertQA is a highly challenging and comprehensive benchmark designed to evaluate expert-level medical knowledge and advanced reasoning capabilities. It features both text-based and multimodal question-answering tasks, with the multimodal subset leveraging structured clinical information alongside images. Dataset Description MedXpertQA comprises 4,460 questions spanning diverse medical specialties, tasks, body systems, and image types. It… See the full description on the dataset page: https://huggingface.co/datasets/TsinghuaC3I/MedXpertQA.

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Author / organization	TsinghuaC3I
License (as declared)	mit
Downloads	11.1K (as reported by Hugging Face)
Likes	65
Created	8 February 2025
Last updated at source	9 July 2025

medicalquestion-answeringmultimodalreasoningexpert-level

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