A synthetic instruction-tuning dataset that maps natural-language requests to correct
Bash — single commands, short pipelines, and multi-line scripts — for fine-tuning
small LLMs to turn plain requests into runnable shell code.
Each example is a chat conversation (system / user / assistant). Rows carry metadata
for slicing (category, utility) and for grouping equivalent answers to one request
(variant_group). This is the… See the full description on the dataset page:
https://huggingface.co/datasets/Frost2o24/bash-instruct-II-55k.
