CMMLU
CMMLU is a comprehensive evaluation benchmark with 67 subjects, tailored to Chinese language and culture, helping researchers measure LLMs' Chinese knowledge and reasoning.
Tool overview
For research teams that need to deeply evaluate LLMs’ language mastery and knowledge retention in Chinese contexts, CMMLU provides a reference benchmark. However, given the scarcity of community benchmarks and practical testing, its completeness and effectiveness still require more validation; a combined approach with other evaluation suites is advisable.
CMMLU is a comprehensive Chinese LLM evaluation benchmark spanning 67 subjects and 11,528 multiple-choice questions. The benchmark covers humanities, social sciences, STEM, and China-specific cultural domains. Questions were intentionally sourced from non-public educational materials to reduce the risk of training data contamination. It allows researchers to objectively measure models’ knowledge recall, comprehension, and reasoning in Chinese, revealing gaps in localized knowledge.
The dataset is open and free; users can download it from GitHub at no cost. The main barrier is basic NLP evaluation know-how, such as familiarity with zero-shot/few-shot prompting and metric calculation. It best serves university labs, AI R&D teams, and model evaluation agencies.