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CMMLU

Paper

CMMLU: Measuring massive multitask language understanding in Chinese https://arxiv.org/abs/2306.09212

CMMLU is a comprehensive evaluation benchmark specifically designed to evaluate the knowledge and reasoning abilities of LLMs within the context of Chinese language and culture. CMMLU covers a wide range of subjects, comprising 67 topics that span from elementary to advanced professional levels.

Homepage: https://github.com/haonan-li/CMMLU

Citation

@misc{li2023cmmlu,
      title={CMMLU: Measuring massive multitask language understanding in Chinese},
      author={Haonan Li and Yixuan Zhang and Fajri Koto and Yifei Yang and Hai Zhao and Yeyun Gong and Nan Duan and Timothy Baldwin},
      year={2023},
      eprint={2306.09212},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Groups and Tasks

Groups

  • cmmlu: All 67 subjects of the CMMLU dataset, evaluated following the methodology in MMLU's original implementation.

Tasks

The following tasks evaluate subjects in the CMMLU dataset using loglikelihood-based multiple-choice scoring:

  • cmmlu_{subject_english}

Checklist

  • Is the task an existing benchmark in the literature?
    • Have you referenced the original paper that introduced the task?
    • If yes, does the original paper provide a reference implementation?
      • Yes, original implementation contributed by author of the benchmark

If other tasks on this dataset are already supported:

  • Is the "Main" variant of this task clearly denoted?
  • Have you provided a short sentence in a README on what each new variant adds / evaluates?
  • Have you noted which, if any, published evaluation setups are matched by this variant?