Papers › FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain

FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain

9 Apr 2023LOUHI 2022 10arXiv:2304.04280archive 2025-07-28

Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud

This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain. It is composed of 3,105 questions taken from real exams of the French medical specialization diploma in pharmacy, mixing single and multiple answers. Each instance of the dataset contains an identifier, a question, five possible answers and their manual correction(s). We also propose first baseline models to automatically process this MCQA task in order to report on the current performances and to highlight the difficulty of the task. A detailed analysis of the results showed that it is necessary to have representations adapted to the medical domain or to the MCQA task: in our case, English specialized models yielded better results than generic French ones, even though FrenchMedMCQA is in French. Corpus, models and tools are available online.

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Tasks

Multiple Choice Question Answering (MCQA)Multiple-choiceQuestion Answering

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Multiple Choice Question Answering (MCQA) FrenchMedMCQA CamemBERT Exact Match Accuracy 16.55 #1 of 2 Archive leaderboard report
Multiple Choice Question Answering (MCQA) FrenchMedMCQA CamemBERT Hamming Score 36.24 #1 of 2 Archive leaderboard report
Multiple Choice Question Answering (MCQA) FrenchMedMCQA DrBERT Exact Match Accuracy 15.32 #2 of 2 Archive leaderboard report
Multiple Choice Question Answering (MCQA) FrenchMedMCQA DrBERT Hamming Score 37.37 #2 of 2 Archive leaderboard report

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