Mahal Systems

Overview › Benchmark catalog

MedAgentGym

Fits code-writing agents for clinical data analysis and biomedical research support. Borrow the Docker sandbox with request-info, code and debug actions, the 12-source task taxonomy, and the split between exact-match coding tasks and accuracy-scored ML tasks.

What it asks the agent to do

  • write and run code to answer a question over EHR tables
  • perform a clinical calculation in code
  • solve a bioinformatics or biomedical data-science coding task
  • train or run a prediction model on clinical data
  • debug from execution feedback inside a sandbox

What to borrow from it

sandbox designbaselinetaxonomy

Caveats

Mainly a training environment (ICLR 2026) rather than a fixed benchmark; most preprocessed data is gated behind a PhysioNet data use agreement and an email request, and the MIMIC-III, eICU and EHRSHOT portions are excluded from the public download; no license file in the repo; task count is instances across train and test, not a curated test set.

Details

Workloadshealthcare, coding, data analysis, sql
Interactionautonomous long horizon
Environmentcontainers
End state checkedNo
ToolsPython sandbox, SQL, terminal, debug action
Gradingexact match, programmatic check
Size72,413
Datamixed
Personal datapossible
Licenseunknown
Harnessown repo
Statusactive

Links