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
```bibtex
@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
* [x] Is the task an existing benchmark in the literature?
* [x] Have you referenced the original paper that introduced the task?
* [x] If yes, does the original paper provide a reference implementation?
* [x] Yes, original implementation contributed by author of the benchmark
If other tasks on this dataset are already supported:
* [x] Is the "Main" variant of this task clearly denoted?
* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [x] Have you noted which, if any, published evaluation setups are matched by this variant?
