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Umranz/redteam-standardized-dataset

Name: Umranz/redteam-standardized-dataset
Creator: Umranz
Published: 2026-05-21T09:04:20
License: https://opensource.org/license/mit

published by @Umranz

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

Last 30 days

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Size

71.9 MB

Created on HF

2026-05-21

Age

5 months ago

Description

Red Team Standardized Dataset (Hard & Filtered Version)

A highly concentrated, professional adversarial/jailbreak training and evaluation dataset for AI safety research. This dataset combines three primary safety benchmarks, strictly pre-filtered to isolate high-intensity adversarial prompts and paired only with successful assistant completions (residual AI refusals, policy warnings, and preachy/moralizing warnings have been aggressively removed).

Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/Umranz/redteam-standardized-dataset.

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.

2026-05-22[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

mit

Repository

DIR data FILE .gitattributes 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("Umranz/redteam-standardized-dataset")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Umranz/redteam-standardized-dataset", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Umranz/redteam-standardized-dataset

Browse repository on Hugging Face ->