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alpha-one-index/ai-red-teaming-index

published by @alpha-one-index

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
421
Last 30 days
51
Likes
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Size
9 KB
Created on HF
2026-03-04
Age
7 months ago

Description

AI Red Teaming Index

A curated index of AI red teaming benchmarks, datasets, and evaluation frameworks for testing LLM safety and robustness.

Overview

This dataset catalogs major red teaming resources including RedBench, AIRTBench, HarmBench, AdvBench, TruthfulQA, WMDP, SafetyBench, and XSTest.

Dataset Structure

Each entry contains: name, samples, categories, focus, source_type, and url fields.

Use Cases

Selecting appropriate red… See the full description on the dataset page: https://huggingface.co/datasets/alpha-one-index/ai-red-teaming-index.

Tags

language:enlicense:mitregion:usred-teamingai-safetybenchmark

README current version from Hugging Face

license: mit
language:

  • en
    tags:
  • red-teaming
  • ai-safety
  • benchmark
    pretty_name: AI Red Teaming Index
    size_categories:
  • 1K-10K

AI Red Teaming Index

A curated index of AI red teaming benchmarks, datasets, and evaluation frameworks for testing LLM safety and robustness.

Overview

This dataset catalogs major red teaming resources including RedBench, AIRTBench, HarmBench, AdvBench, TruthfulQA, WMDP, SafetyBench, and XSTest.

Dataset Structure

Each entry contains: name, samples, categories, focus, source_type, and url fields.

Use Cases

  • Selecting appropriate red teaming benchmarks
  • Comparing coverage across safety testing frameworks
  • Planning comprehensive AI safety assessments

Source

Maintained by alpha-one-index. See the GitHub repository.

README history 6 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-03-05Add dataset card with metadata and documentation2b24ce0881 B
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  2. 2026-03-05Create README.mdb14051d113 B
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  3. 2026-03-04Add benchmarks dataf1b19ff0 B
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  4. 2026-03-04Add vulnerability leaderboard data562451a0 B
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  5. 2026-03-04Add red team tools data10426dd0 B
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  6. 2026-03-04initial commit2c2343c0 B
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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 (evaluation)
4 rules on judges, benchmarks, and reporting.
Reference-set drift over time
Why the same benchmark means different things across model generations.
How we label the method for each model
The 12 classification rules that assign M1-M8 to every model.
Non-English abliteration communities
The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License
mit

Repository

DIR data 3 files FILE .gitattributes FILE README.md

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

Download the dataset

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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("alpha-one-index/ai-red-teaming-index")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="alpha-one-index/ai-red-teaming-index", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/alpha-one-index/ai-red-teaming-index
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