Mahal Systems

Overview › Benchmark catalog

OSWorld-Human

Fits any desktop agent team that must report latency or cost, not just success. Borrow the weighted efficiency score that combines success with steps relative to a human.

What it asks the agent to do

  • score an OSWorld run against the human reference number of steps
  • measure end-to-end latency and wasted actions

What to borrow from it

grading design

Caveats

Not a new task set, only human trajectories and a scorer for OSWorld; the repo warns it must not be used for training; license not stated.

Details

Workloadscomputer use
Interactionsingle turn
Environmentdesktop
End state checkedYes
ToolsOSWorld result directories
Gradingtrajectory check
Size369
Datareal public
Personal datanone
Licenseunknown
Harnessown repo
Statusactive

Links