Datasets › BiMed1.3M
BiMed1.3M
The dataset covers three types of medical interactions in both English and Arabic:
- Multiple-choice question answering (MCQA), focusing on specialized medical knowledge.
- Open question answering (QA), including real-world consumer questions.
- MCQA-Grounded multi-turn chat conversations for dynamic exchanges.
A semi-automated translation pipeline with human alignment was used to create high-quality Arabic versions. The BiMed1.3M dataset results from translating 444,995 English samples into Arabic and mixing Arabic and English in a 1:2 ratio.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
Variants archive 2025-07-28
- BiMed1.3M
1 variant name, as the archive lists them.
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