Omkar2118/datasets huggingface dataset:
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.

Introducing paper: BiMediX: Bilingual Medical Mixture of Experts LLM