Zia-Data-Labs/PenetrationTesting200M
Alignment dataset tracked in the /datasets sub-catalog.
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.
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Used by abliterated models
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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2026-06-08[bot] Conversion to Parquet
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Download the dataset
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.
from datasets import load_dataset
ds = load_dataset("Zia-Data-Labs/PenetrationTesting200M") from huggingface_hub import snapshot_download
snapshot_download(repo_id="Zia-Data-Labs/PenetrationTesting200M", repo_type="dataset") git clone https://huggingface.co/datasets/Zia-Data-Labs/PenetrationTesting200M