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These days, I'm much more excited about dataset releases than model releases. Models come and go and don't compose, whereas good datasets are more enduring and can be studied, used, revised to create better models more broadly. Excited about these 155K coding agent trajectories...just SFT'ing on this data improves SWE-bench Verified massively (23% -> 59.4%).
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"text": "We’re open-sourcing CoderForge-Preview — 258K test-verified coding-agent trajectories (155K pass | 103K fail).\n\nFine-tuning Qwen3-32B on the passing subset boosts SWE-bench Verified: 23.0% → 59.4% pass@1, and it ranks #1 among open-data models ≤32B parameters.\n\nThread on the data generation pipeline 🧵",
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