Curated SFT corpus for training a terminal/bash agent. Derived from
nvidia/Nemotron-Terminal-Corpus
with a custom code-specific filter that recovers parse-error trajectories.
26,627 trajectories
~244M tokens (avg 36.7k chars/trajectory)
94.9%
endings (successful completion)
5.1% <give_up> endings (Nvidia-style informative failures)
81.7% multi-turn (≥6 turns), avg ~8.5 turns
Math-free (math.parquet dropped — 4B base already… See the full description on the dataset page: https://huggingface.co/datasets/prometheus04/microagent-train-v2.
