Dataset · Hugging Face

li-lab/MultiMed-X

Name: MultiMed-X
Creator: li-lab
License: cc-by-4.0
Keywords: language:en, language:ja, language:zu, language:yo, language:zh, language:ko, language:th, language:sw, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars

MultiMed-X MultiMed-X is a multilingual benchmark for medical reasoning evaluation across natural language inference (NLI) and open-ended question answering (QA).The dataset is designed to assess reasoning quality, factual accuracy, and localization of large language models in non-English medical settings, with particular emphasis on low-resource languages. This dataset accompanies the paper: MED-COREASONER: Reducing Language Disparities in Medical Reasoning via Language-Informed… See the full description on the dataset page: https://huggingface.co/datasets/li-lab/MultiMed-X.

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Author / organization	li-lab
License (as declared)	cc-by-4.0
Downloads	128 (as reported by Hugging Face)
Likes	0
Created	21 January 2026
Last updated at source	4 February 2026

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