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aurora-m/redteam

Name: aurora-m/redteam
Creator: aurora-m
Published: 2023-12-05T09:49:33
License: odc-by

published by @aurora-m

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

1.6K

Last 30 days

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Size

2.5 MB

Created on HF

2023-12-05

Age

2 years ago

Description

Aurora-M Redteam Dataset: A red-teaming dataset focusing on concerns in White House Executive Order 14110 (Now rescinded as of Jan 2025)

Dataset Description

PLEASE NOTE THAT THE EXECUTIVE ORDER HAS NOW BEEN RESCINDED AS OF JAN 2025 See here for more information on the order.

**PLEASE NOTE THAT THE EXAMPLES IN THIS DATASET CARD MAY BE TRIGGERING AND INCLUDE SENSITIVE SUBJECT MATTER.**

While building Large Language Models (LLMs), it is crucial to protect them… See the full description on the dataset page: https://huggingface.co/datasets/aurora-m/redteam.

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 2 threads · 2 open · 3 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.

2026-07-09Chaning License to ODC-Byopen2 💬#2
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2024-04-11[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

odc-by

Repository

FILE .gitattributes FILE .gitignore FILE adversarial_safety_data_120.jsonl FILE data.parquet 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("aurora-m/redteam")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="aurora-m/redteam", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/aurora-m/redteam

Browse repository on Hugging Face ->