LawBench
Fits Chinese-law question-answering or document-processing assistants. Borrow its three-level split (memorize, understand, apply) and its abstention-rate metric for answers that cannot be parsed.
What it asks the agent to do
- recall a statute article
- classify a case by charge or dispute type
- extract named entities or key facts from a judgment
- predict a sentence or penalty amount
- write a summary or answer a legal consultation
What to borrow from it
taxonomybaseline
Caveats
Chinese civil law only; 20 tasks of 500 examples each, no tools or multi-step work; model rankings date from 2023 (GPT-4 era) and the repo has not been refreshed; built from CAIL and JEC_QA public case data, so judgment text with party names appears.
Details
| Workloads | legal, knowledge qa, documents |
|---|---|
| Interaction | single turn |
| Environment | static |
| End state checked | No |
| Tools | none |
| Grading | exact match, programmatic check |
| Size | 20 |
| Data | real public |
| Personal data | possible |
| License | Apache-2.0 |
| Harness | own repo |
| Status | frozen |