ai-for-good-lab/

Global-MMLU-Lite

Global MMLU-Lite is a multilingual evaluation benchmark for LLMs covering 18 languages. This dataset extends it with professional human translations for three additional low-resource languages that are not in the original: Chichewa (nya), Māori (mri), and Inuktitut (iku). Released as part of the BYOL: Bring Your Own Language Into LLMs project (paper).

The original Global MMLU-Lite by Cohere covers 18 languages: Arabic… See the full description on the dataset page: https://huggingface.co/datasets/ai-for-good-lab/Global-MMLU-Lite.