extract gated 0 trending

oi-uae/cyber-security

published by @oi-uae

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
495
Last 30 days
495
Likes
19
Size
1.5 GB
Created on HF
2026-09-12
Age
14 days ago

Description

Cybersecurity Instruction-Tuning Dataset

A large, cleaned, multi-domain cybersecurity chat dataset for LLM finetuning,

built from 198 distinct sources spanning offensive security, blue-team

operations, vulnerability intelligence, cloud/AWS security, malware analysis,

digital forensics, and more. Every record is normalized to the standard

messages chat format and deduplicated at both file and record level.

⚠️ Research use only. This dataset is provided exclusively for… See the full description on the dataset page: https://huggingface.co/datasets/oi-uae/cyber-security.

Tags

task_categories:question-answeringtask_categories:text-generationlanguage:enlicense:othersize_categories:1M<n<10Mformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:uscybersecuritysecurityinstruction-tuningchatcvevulnerabilitymitre-attackred-teamblue-teamincident-response

Used by abliterated models 1 in catalog

Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.

Community discussions 2 threads · 1 open · 2 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. 2026-09-24PRVima1 💬#2
    Loading...
  2. 2026-09-13[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

Metadata

License
other

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("oi-uae/cyber-security")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="oi-uae/cyber-security", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/oi-uae/cyber-security
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.