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darkknight25/redteam_manualcommands

published by @darkknight25

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2025-05-17
Age
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Description

license: mit

size_categories:

n<1K

---# RTFM Manual Commands Dataset

A structured and machine-readable dataset extracted from the Red Team Field Manual (RTFM). This collection of categorized terminal commands is designed for use in cybersecurity tooling, AI fine-tuning, command recommendation engines, and red team automation systems.

πŸ“ Dataset Format

The dataset is provided in .jsonl (JSON Lines) format, where each line represents a command entry with the following fields:… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/redteam_manualcommands.

Tags

size_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: mit
size_categories:

  • n<1K
    ---# RTFM Manual Commands Dataset

A structured and machine-readable dataset extracted from the Red Team Field Manual (RTFM). This collection of categorized terminal commands is designed for use in cybersecurity tooling, AI fine-tuning, command recommendation engines, and red team automation systems.

πŸ“ Dataset Format

The dataset is provided in .jsonl (JSON Lines) format, where each line represents a command entry with the following fields:

  • category β€” The logical section from the manual (e.g., "LINUX NETWORK COMMANDS")
  • command β€” The exact command-line syntax
  • description β€” A brief explanation of the command’s function

πŸ” Example

{
  "category": "LINUX NETWORK COMMANDS",
  "command": "netstat -tulpn",
  "description": "Show all TCP/UDP connections"
}
This dataset is suitable for:

    Training/fine-tuning AI assistants or LLMs (e.g., GPT-style models)

    Building context-aware command suggestion engines

    Integrating into red team or blue team automation pipelines

    Creating cheat sheet generators or CLI reference bots

πŸ“Š Statistics

    Total entries: 696 

    Categories included:

        Linux Networking

        Windows System Information

        Powershell

        TCPDump

        Covering Tracks

        Firewall Bypass

        and many more

βš–οΈ License

This dataset is shared under the CC0 1.0 Universal License (Public Domain Dedication). You are free to use, modify, and redistribute it for any purpose, including commercial.

    Portions of this dataset are derived from the public content of the RTFM manual and restructured for machine learning research and educational use.

🀝 Contributions

Pull requests are welcome! If you'd like to expand this dataset, clean entries, or add new sections (e.g., Active Directory, web enumeration, etc.), feel free to fork or open an issue.

README history 3 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2025-05-17Update README.mdd3bf88a1.9 KB
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  2. 2025-05-17Upload rtfm_manual_commands.jsonle87ab6524 B
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  3. 2025-05-17initial commit714c12324 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread Β· 1 open Β· 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2025-05-18[bot] Conversion to Parquetopen1 πŸ’¬#1
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("darkknight25/redteam_manualcommands")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="darkknight25/redteam_manualcommands", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/darkknight25/redteam_manualcommands
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