1.4M agent trajectories for ~$3,000: nanoswe open-sources its coding-agent training data
andersonbcdefg · x · 2026-10-13
rdolmedo released the training data behind their record-setting coding model on Hugging Face: using the same synthesis pipeline as before, built with SWE-smith and Nemotron 3.5 Lightning. 1k GitHub repos → 178k task instances → 1.4M trajectories, for roughly $3,000. Dataset (nanoswe/nanoswe-trajs-261002, MIT license) and model weights are both public.
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