GAIR/OpenSWE

OpenSWE: Efficient SWE Environment Synthesis at Scale OpenSWE is the largest fully transparent framework for SWE agent training in Python, comprising 45,320 executable Docker environments spanning over 12.8k repositories, with all Dockerfiles, evaluation scripts, and infrastructure fully open-sourced for reproducibility. OpenSWE is built through a multi-agent synthesis pipeline deployed across a 64-node distributed cluster, automating repository exploration, Dockerfile… See the full description on the dataset page: https://huggingface.co/datasets/GAIR/OpenSWE.

<iframe src="https://silytics.si/embed/item/92a86e30-41f0-40d5-90c6-0bdb7ae3f6e2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.