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Devilishcode/Debian_Hacking_Networking

Name: Devilishcode/Debian_Hacking_Networking
Creator: Devilishcode
Published: 2026-03-04T21:23:22

published by @Devilishcode

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

118

Last 30 days

Likes

Size

2.0 MB

Created on HF

2026-03-04

Age

7 months ago

Description

To maximize the effectiveness of your model when using this dataset, consider training your LLM on:

Toxic Conversations.

Programming.

General Knowledge (including uncensored content).

This dataset is designed to enhance an LLM's ability to work with topics related to Debian Linux, Hacking, and Networking. While it won't transform the model into a professional hacker, it provides a foundation for tasks involving Retrieval-Augmented Generation (RAG) in these domains.

README current version from Hugging Face

language:

en
size_categories:
n<1K

To maximize the effectiveness of your model when using this dataset, consider training your LLM on:

Toxic Conversations.
Programming.
General Knowledge (including uncensored content).

This dataset is designed to enhance an LLM's ability to work with topics related to Debian Linux, Hacking, and Networking. While it won't transform the model into a professional hacker, it provides a foundation for tasks involving Retrieval-Augmented Generation (RAG) in these domains.

README history 1 revision

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.

2026-03-04Duplicate from ICEPVP8977/Debian_Hacking_Networking1e9e648539 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.

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Repository

FILE .gitattributes FILE Debian_Hacking_Networking.json FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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("Devilishcode/Debian_Hacking_Networking")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Devilishcode/Debian_Hacking_Networking", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Devilishcode/Debian_Hacking_Networking

Browse repository on Hugging Face ->