README.md

metadata

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:
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    data_files:
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        path: ar/train-*
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    data_files:
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        path: ch/train-*
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        path: de/train-*
  - config_name: default
    data_files:
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        path: data/train-*
  - config_name: eng
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        path: eng/train-*
  - config_name: es
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        path: es/train-*
  - config_name: fr
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  - config_name: ja
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  - config_name: ko
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        path: ko/train-*
  - config_name: pt
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  - config_name: ru
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      - name: es
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      - name: pt
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      - name: ja
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      - name: ko
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      - name: category
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      - name: category
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      - name: completion
        dtype: string
      - name: category
        dtype: string
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      - name: train
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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}}
}