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alucent/mirror-Exploit_Database_Dataset

published by @alucent

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
91
Last 30 days
5
Likes
-
Size
446 KB
Created on HF
2026-07-22
Age
3 months ago

Description

Exploit Database Dataset

Overview

This dataset contains 1400 curated entries of cybersecurity vulnerabilities, designed for training a Red Team GPT model.

It includes detailed records of vulnerabilities from 2021-2025, sourced from Exploit-DB, CVE details (nvd.nist.gov), and recent web sources (e.g., CISA KEV catalog, The Hacker News).

The dataset is structured to support AI-driven penetration testing, vulnerability research, and cybersecurity analysis.… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-Exploit_Database_Dataset.

Tags

language:enlicense:mitsize_categories:1K<n<10Kregion:uscybersecurity

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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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
mit

Repository

FILE .gitattributes FILE exploit_dataset.jsonl FILE README.md

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

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("alucent/mirror-Exploit_Database_Dataset")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="alucent/mirror-Exploit_Database_Dataset", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/alucent/mirror-Exploit_Database_Dataset
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