CASE← DuanYuan中文

AI coding evaluation task pack

Containerised tasks · hidden tests · real-run scoring

Problem

Comparing coding ability across models and agents by reading code does not reproduce. Tasks must run automatically and results must be judged automatically.

Approach

One directory per task: repository snapshot, visible tests, hidden tests, run script, reference patch. Scoring looks only at test results and timeouts, never at prose.

Details

Hidden and visible tests are separated to defeat hard-coding; runs happen in isolated containers with CPU and time limits; results are JSON for easy aggregation.

The same pack re-runs, compares and grades; swapping models only changes the runner.

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