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TIGER-Lab/SWE-Next-SFT-Trajectories

SWE-Next: Scalable Real-World Software Engineering Tasks for Agents SWE-Next SFT Trajectories SWE-Next SFT Trajectories is the supervised fine-tuning dataset released with SWE-Next: Scalable Real-World Software Engineering Tasks for Agents. It contains 3,693 ShareGPT-style multi-turn training examples collected from expert agent rollouts on 2,308 execution-grounded SWE tasks synthesized from real merged pull requests. The dataset is designed for… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/SWE-Next-SFT-Trajectories.

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Author / organizationTIGER-Lab
License (as declared)mit
Downloads347 (as reported by Hugging Face)
Likes3
Created2 April 2026
Last updated at source13 April 2026
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  • 16 Oct 2026 Description: SWE-Next: Scalable Real-World Software Engineering Tasks for Agents SWE-Next SFT Trajectories SWE-Next SFT Trajectories is the supervised fine-tuning dataset released with SWE-Next: Scalable Real-World Software Engineering Tasks for Agents. → SWE-Next: Scalable Real-World Software Engineering Tasks for Agents SWE-Next SFT Trajectories SWE-Next SFT Trajectories is the supervised fine-tuning dataset released with SWE-Next: Scalable Real-World Software Engineering Tasks for Agents.

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