Datasets:

missvector
/

linux-commands

license: apache-2.0
task_categories:
  - text-generation
language:
  - ru
  - ar
  - en
  - zh
  - de
  - fr
  - es
  - pt
  - ja
  - ko
tags:
  - linux
  - shell
  - commands
  - terminal
  - multilingual
  - development
  - system-administration
pretty_name: LinLM
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: ru
      dtype: string
    - name: ch
      dtype: string
    - name: eng
      dtype: string
    - name: de
      dtype: string
    - name: fr
      dtype: string
    - name: es
      dtype: string
    - name: pt
      dtype: string
    - name: ja
      dtype: string
    - name: ko
      dtype: string
    - name: ar
      dtype: string
    - name: completion
      dtype: string
    - name: category
      dtype: string
  splits:
    - name: train
      num_bytes: 328500
      num_examples: 910
  download_size: 160032
  dataset_size: 328500

LinLM Dataset

A curated synthetic dataset for Linux command inference

Natural language description -> shell commands

Features:

Supports 10+ languages
Arch Linux commands recognition
Fine-tune LLM for development, system administration, file operations, Git, Docker, and more

Usage

from datasets import load_dataset

dataset = load_dataset("missvector/linux-commands")

def format_for_training(example):
    return {
        "prompt": f"Convert to Linux command: {example['eng']}",
        "completion": example['completion']
    }

training_data = dataset['train'].map(format_for_training)

Out-of-Scope Use

Not for production deployment without additional validation
Commands should be reviewed before execution

Related Projects

llama-dynamic-context - command inference tool tested with this dataset

Citation

If you use this dataset in your research, please cite:

@misc{linuxcommands2025,
  author = {V. Firsanova},
  title = {LinLM Dataset},
  year = {2025},
  publisher = {Hugging Face Datasets},
  howpublished = {\url{https://huggingface.co/datasets/missvector/linux-commands}}
}