Mahal Systems

Overview › Benchmark catalog

AgentProcessBench

Fits teams building a step-level judge or process reward signal for a tool-using agent. Borrow the +1/0/-1 step labels with the error-propagation rule and the reported human agreement (89.1%).

What it asks the agent to do

  • judge each step of a tool-using trajectory as helpful, neutral or wrong
  • find the first step where a run went wrong
  • tell exploration that does no harm apart from actual errors

What to borrow from it

grading designtaxonomy

Caveats

Trajectories come from four public sets (HotpotQA, GAIA dev, BFCL, tau2), so judges may have seen the tasks; it grades judges, not agents; repo license not seen.

Details

Workloadstool calling, general assistant, knowledge qa
Interactionsingle turn
Environmentstatic
End state checkedNo
Toolsnone
Gradingexact match
Size1,000
Datareal public
Personal datanone
Licenseunknown
Harnessown repo
Statusactive

Links