| --- |
| viewer: false |
| license: apache-2.0 |
| language: |
| - zh |
| - en |
| tags: |
| - Legal Intelligence |
| - LLM |
| - Agent |
| extra_gated_prompt: You agree to use the dataset to conduct experiments ONLY for research. |
| extra_gated_fields: |
| Affiliation: text |
| Country: country |
| Specific date: date_picker |
| I want to use this dataset for (please answer in detail): text |
| I agree to use this dataset for non-commercial use **ONLY**: checkbox |
| --- |
| |
| # Data Statistics of J1-Eval |
| | Level | Level I | | Level II | | Level III | | |
| |---------|---------------|-------------|-----------------------------------|--------------|---------------|--------------------------| |
| | Env. | KQ | LC | CD | DD | CI | CR | |
| | | 98 | 62 | 93 | 93 | 93 | 69 | |
| | Source | Legal Article | | Civil Judgment Document | | | Criminal Judgment Document | |
| | | 160 | | 93 | | | 69 | |
|
|
|
|
| # Citation |
| We are grateful if you find our work useful, and please cite our paper as follows: |
| ``` |
| @article{jia2025readyjuristonebenchmarking, |
| author = {Zheng Jia and Shengbin Yue and Wei Chen and Siyuan Wang and Yidong Liu and Yun Song and Zhongyu Wei}, |
| title = {Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments}, |
| year = {2025}, |
| journal = {arXiv preprint arXiv:2507.04037}, |
| url = {https://arxiv.org/abs/2507.04037} |
| } |
