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Zia-Data-Labs/PenetrationTesting200M

published by @Zia-Data-Labs

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.2K
Last 30 days
39
Likes
2
Size
11.6 GB
Created on HF
2026-06-06
Age
4 months ago

Description

Zia Penetration Testing — 200M Synthetic Records

Dataset Description

A production-grade synthetic dataset containing 200,000,000 rows of high-fidelity web application penetration testing findings. Generated by Zia Data Labs for machine learning engineers, cybersecurity researchers, and application security teams.

Massive Scale: 200M rows across 10 Parquet files (~12 GB total, Snappy compression). Simulates a full enterprise vulnerability management pipeline at… See the full description on the dataset page: https://huggingface.co/datasets/Zia-Data-Labs/PenetrationTesting200M.

Tags

task_categories:tabular-classificationtask_categories:tabular-regressionlanguage:enlicense:othersize_categories:100M<n<1Bformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:uscybersecuritysyntheticpenetration-testingweb-application-securityvulnerability-managementowaspcvssappsecred-teamsecurity-analyticsparquetlarge-scalesimulationsocgrc

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 · 1 open · 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. 2026-06-08[bot] Conversion to Parquetopen1 💬#1
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Metadata

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Repository

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("Zia-Data-Labs/PenetrationTesting200M")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Zia-Data-Labs/PenetrationTesting200M", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Zia-Data-Labs/PenetrationTesting200M
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