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Aikyam-Lab/CUREMED-BENCH

CUREMED-BENCH CUREMED-BENCH is a multilingual medical reasoning benchmark dataset, designed for evaluating and fine-tuning models on medical tasks across diverse languages. Data set Summary Languages: Spans 13 languages, including Amharic, Bengali, French, Hausa, Hindi, Japanese, Korean, Spanish, Swahili, Thai, Turkish, Vietnamese, and Yoruba. Splits: Includes train, test, and validation splits, each with separate CSV files per language. Usage: Intended for… See the full description on the dataset page: https://huggingface.co/datasets/Aikyam-Lab/CUREMED-BENCH.

Author / organizationAikyam-Lab
License (as declared)cc-by-4.0
Downloads149 (as reported by Hugging Face)
Likes1
Created16 January 2026
Last updated at source5 February 2026
medicalmultilingualbenchmarkLLM_Reasoning
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  • 16 Oct 2026 Description: CUREMED-BENCH CUREMED-BENCH is a multilingual medical reasoning benchmark dataset, designed for evaluating and fine-tuning models on medical tasks across diverse languages. Data set Summary Languages: Spans 13 languages, including Amharic, → CUREMED-BENCH CUREMED-BENCH is a multilingual medical reasoning benchmark dataset, designed for evaluating and fine-tuning models on medical tasks across diverse languages. Data set Summary Languages: Spans 13 languages, including Amharic,

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