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# CMMLU |
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### Paper |
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CMMLU: Measuring massive multitask language understanding in Chinese |
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https://arxiv.org/abs/2306.09212 |
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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. |
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CMMLU covers a wide range of subjects, comprising 67 topics that span from elementary to advanced professional levels. |
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Homepage: https://github.com/haonan-li/CMMLU |
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### Citation |
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```bibtex |
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@misc{li2023cmmlu, |
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title={CMMLU: Measuring massive multitask language understanding in Chinese}, |
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author={Haonan Li and Yixuan Zhang and Fajri Koto and Yifei Yang and Hai Zhao and Yeyun Gong and Nan Duan and Timothy Baldwin}, |
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year={2023}, |
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eprint={2306.09212}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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### Groups and Tasks |
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#### Groups |
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- `cmmlu`: All 67 subjects of the CMMLU dataset, evaluated following the methodology in MMLU's original implementation. |
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#### Tasks |
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The following tasks evaluate subjects in the CMMLU dataset using loglikelihood-based multiple-choice scoring: |
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- `cmmlu_{subject_english}` |
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### Checklist |
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* [x] Is the task an existing benchmark in the literature? |
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* [x] Have you referenced the original paper that introduced the task? |
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* [x] If yes, does the original paper provide a reference implementation? |
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* [x] Yes, original implementation contributed by author of the benchmark |
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If other tasks on this dataset are already supported: |
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* [x] Is the "Main" variant of this task clearly denoted? |
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* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates? |
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* [x] Have you noted which, if any, published evaluation setups are matched by this variant? |
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