nvidia/SWE-Zero-openhands-trajectories

SWE-Zero Trajectories: Execution-free Fine-tuning for Software Engineering Agents Data Overview SWE-ZERO Trajectories is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 318k agent trajectories collected using the OpenHands framework. The trajectories were synthesized using Qwen3-Coder-480B-A35B-Instruct, specifically curated for supervised fine-tuning (SFT), aiming to improve model… See the full description on the dataset page: huggingface.co/datasets/nvidia/SWE-Zero-openhands-trajectories.