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OpenSWE

Type
dataset
Venue
GAIR / SII-GAIR-NLP (HuggingFace)
Year
2026
Source
huggingface
Access
restricted
Language
English, Python
Added
2026-07-17T20:18:03.753806+00:00
Verified
2026-07-17T20:18:03.753806+00:00

Summary

OpenSWE is the largest fully transparent framework for training software engineering (SWE) agents, comprising 45,320 executable Docker environments across 12.8k repositories with all Dockerfiles, evaluation scripts, and infrastructure open-sourced for reproducibility. Built via a multi-agent synthesis pipeline on a 64-node distributed cluster, it yields ~13,000 curated trajectories from ~9,000 quality-guaranteed environments and produces models (OpenSWE-32B/72B) achieving SOTA among SFT-based methods on SWE-bench Verified (62.4%/66.0%).

Keywords

software-engineering swe-agent code pull-request docker synthetic agent swe-bench

Topics

Code / Software Engineering

Research notes

  • Requires accepting conditions and sharing contact info to access. Construction cost ~$891K (environments) + $576K (trajectory sampling/curation). Associated arXiv papers: 2603.13023, 2505.20411, 2506.10954.