MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation
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MediQAl is a French medical question answering dataset designed to evaluate the capabilities of language models in factual medical recall and clinical reasoning. It includes 32,603 questions sourced from French medical examinations across 41 medical subjects. The dataset contains three tasks: MCQU: Multiple-Choice Questions with a Unique correct answer MCQM: Multiple-Choice Questions with Multiple correct answers OEQ: Open-Ended Questions with Short Answers Each question is labeled as either "Understanding" or "Reasoning", enabling analysis of the cognitive capabilities of language models.
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Zenodo创建时间：
2026-01-12
