Mahal Systems

Overview › Benchmark catalog

Gaia2 (Meta ARE)

Fits personal and workplace assistants that must act on time and cope with events arriving during a task. Borrow the write-action verifier against oracle events and the capability splits (execution, search, ambiguity, adaptability, time, noise, agent-to-agent).

What it asks the agent to do

  • handle a personal-assistant request across messaging, contacts, calendar and email apps
  • act at the right time when an event is scheduled
  • ask for clarification when the request is ambiguous
  • adapt when the environment changes mid-task or returns noisy results
  • coordinate with another agent to finish a task

What to borrow from it

sandbox designgrading designtaxonomyuser simulator

Caveats

Consumer apps, not enterprise systems; synthetic Llama-generated content with Llama license strings attached; scenario counts differ between the paper and dataset card.

Details

Workloadsgeneral assistant, email calendar, tool calling, multi agent, planning
Interactionmulti turn simulated user
Environmentapi sandbox
End state checkedYes
Toolssmartphone style apps in the ARE simulator
Gradingtrajectory check, llm judge
Size800
Datasynthetic
Personal datanone
LicenseCC-BY-4.0
Harnessown repo
Statusactive

Links