Nemotron-SWE-v1 is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 59k agent trajectories collected using the OpenHands framework. The trajectories were synthesized using state-of-the-art Qwen3-Coder-480B-A35B-Instruct and specifically curated for supervised fine-tuning (SFT), aiming to improve model performance on SWE-Bench style tasks. The issue statements are sourced from… See the full description on the dataset page:
https://huggingface.co/datasets/nvidia/Nemotron-SWE-v1.
