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arpandeepk/swe-zero-free-v2

SWE-ZERO-Free, 12M agentic coding trajectories made without an LLM SWE-ZERO-12M showed you can generate agentic SWE data without Docker, just by sticking to shell commands that need no setup. We took that idea and asked whether you even need the model. You don't. So this is SWE-ZERO, but free. This dataset has 12,177,154 mini-swe-agent trajectories across ~121,800 real GitHub PRs. Same source and same format as SWE-ZERO. The only difference is how they get made. SWE-ZERO samples… See the full description on the dataset page: https://huggingface.co/datasets/arpandeepk/swe-zero-free-v2.

Author / organizationarpandeepk
License (as declared)apache-2.0
Downloads302 (as reported by Hugging Face)
Likes0
Created7 June 2026
Last updated at source7 June 2026
swecodeagenticpre-trainingexecution-freesynthetic
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