| --- |
| dataset_info: |
| features: |
| - name: question_id |
| dtype: int64 |
| - name: category |
| dtype: string |
| - name: turns |
| sequence: string |
| - name: reference |
| sequence: string |
| - name: lang |
| dtype: string |
| - name: audio |
| sequence: audio |
| splits: |
| - name: test |
| num_bytes: 68325545.0 |
| num_examples: 80 |
| download_size: 67660778 |
| dataset_size: 68325545.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| license: apache-2.0 |
| --- |
| |
| ## License |
|
|
| Mt-bench is Apache 2.0 licensed by FastChat, making it suitable for both academic and commercial use. |
| https://github.com/lm-sys/FastChat/blob/main/LICENSE |
|
|
|
|
| ## Citation |
|
|
| ```text |
| @misc{zheng2023judging, |
| title={Judging LLM-as-a-judge with MT-Bench and Chatbot Arena}, |
| 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}, |
| year={2023}, |
| eprint={2306.05685}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| ``` |
|
|
