ModelRefs / Global-MMLU Lite Methodology and Evidence
Global-MMLU Lite Methodology and Evidence
Culturally-balanced multilingual MMLU subset across 42 languages. Methodology, dataset provenance, and citation sources for Global-MMLU Lite.
Overview
Culturally-balanced multilingual MMLU subset across 42 languages.
How it is measured: Macro-average accuracy.
How this benchmark is scored
| Category | reasoning |
|---|---|
| Maximum score | 100 % accuracy |
| Direction | Higher is better |
Primary source: https://huggingface.co/datasets/CohereForAI/Global-MMLU-Lite
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Frequently asked questions
What does the Global-MMLU Lite benchmark measure?
Culturally-balanced multilingual MMLU subset across 42 languages.
What is the methodology?
Macro-average accuracy.