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--- |
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dataset_info: |
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features: |
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- name: question_id |
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dtype: int64 |
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- name: category |
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dtype: string |
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- name: turns |
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sequence: string |
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- name: reference |
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sequence: string |
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- name: lang |
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dtype: string |
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- name: audio |
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sequence: audio |
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splits: |
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- name: test |
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num_bytes: 68325545.0 |
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num_examples: 80 |
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download_size: 67660778 |
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dataset_size: 68325545.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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license: apache-2.0 |
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--- |
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## License |
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Mt-bench is Apache 2.0 licensed by FastChat, making it suitable for both academic and commercial use. |
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https://github.com/lm-sys/FastChat/blob/main/LICENSE |
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## Citation |
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```text |
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@misc{zheng2023judging, |
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title={Judging LLM-as-a-judge with MT-Bench and Chatbot Arena}, |
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author={Lianmin Zheng and Wei-Lin Chiang and Ying Sheng and Siyuan Zhuang and Zhanghao Wu and Yonghao Zhuang and Zi Lin and Zhuohan Li and Dacheng Li and Eric. P Xing and Hao Zhang and Joseph E. Gonzalez and Ion Stoica}, |
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year={2023}, |
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eprint={2306.05685}, |
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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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|