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