Mahal Systems

Overview › Benchmark catalog

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

Workloadslegal, knowledge qa, documents
Interactionsingle turn
Environmentstatic
End state checkedNo
Toolsnone
Gradingexact match, programmatic check
Size20
Datareal public
Personal datapossible
LicenseApache-2.0
Harnessown repo
Statusfrozen

Links