A corpus of ~66k issue-solving trajectories collected with mini-swe-agent-plus on issues derived from SWE-smith. Each trajectory records the agent’s end-to-end process.
We training the Qwen3-8B model on different sizes of the training data. The results are shown in the figure, it could be observed that the solve rate on SWE-bench Verified improves approximately linearly with the logarithm of the data scale (1k → 66k… See the full description on the dataset page:
https://huggingface.co/datasets/Kwai-Klear/SWE-smith-mini_swe_agent_plus-trajectories-66k.