A structured software-engineering agent trajectory dataset derived from SWE-chat.
This dataset converts real-world coding-agent interaction traces into compact action-observation trajectories optimized for tool-use fine-tuning and autonomous software engineering agents.
The original SWE-chat dataset captures full coding sessions from real developers using coding agents such as Claude Code, Codex, Gemini CLI, Cursor, and others. :contentReference
This… See the full description on the dataset page:
https://huggingface.co/datasets/suhas9545/Multi_Turn_SWE_dataset.