thientrangngv/SERA-KimiK3-Django-SWEAgent-Cliff32k-T2

SERA Kimi-K3 Django SWE-Agent — Cliff-chunked T2 (second rollout) 227 training records built from 137 Kimi-K3 SWE-agent trajectories on Django, split to fit a 32,768-token context with CliffCompaction instead of being truncated. Why chunked A 100+ step agent rollout does not fit a 32k training window — 27% of the source T2 trajectories exceed it. Truncating them throws away most of the supervision, and trains the model on a context format it never sees at… See the full description on the dataset page: https://huggingface.co/datasets/thientrangngv/SERA-KimiK3-Django-SWEAgent-Cliff32k-T2.