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beatsprom/ai-security-red-teaming-defense-2026

published by @beatsprom

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
92
Last 30 days
22
Likes
-
Size
196 KB
Created on HF
2026-08-17
Age
2 months ago

Description

🛡️ AI Security, Red Teaming & Model Defense Dataset (2023–2026)

Sample dataset of 30 audit-verified AI Security, Prompt Injection & Red Teaming research papers with 384d PyTorch embeddings.

🛒 Full 1,000 Paper B2B Dataset Available on Gumroad

Get the complete 3-year dataset (1,000 papers + GitHub Deep Audit + SQLite/CSV/Parquet + Quickstart Script) on Gumroad:

👉 Get Full 1,000 Dataset on Gumroad ($19 / $39 / $89)

Tags

task_categories:feature-extractiontask_categories:text-classificationlanguage:enlicense:cc-by-4.0size_categories:n<1Kformat:parquetmodality:tabularmodality:textmodality:timeserieslibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usai-securityred-teamingprompt-injectionembeddings

README current version from Hugging Face

license: cc-by-4.0
task_categories:

  • feature-extraction
  • text-classification
    language:
  • en
    tags:
  • ai-security
  • red-teaming
  • prompt-injection
  • embeddings
    pretty_name: AI Security, Red Teaming & Model Defense Dataset (2023-2026)

🛡️ AI Security, Red Teaming & Model Defense Dataset (2023–2026)

Sample dataset of 30 audit-verified AI Security, Prompt Injection & Red Teaming research papers with 384d PyTorch embeddings.

🛒 Full 1,000 Paper B2B Dataset Available on Gumroad

Get the complete 3-year dataset (1,000 papers + GitHub Deep Audit + SQLite/CSV/Parquet + Quickstart Script) on Gumroad:
👉 Get Full 1,000 Dataset on Gumroad ($19 / $39 / $89)

README history 3 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. 2026-08-17Update README.md7d7d741751 B
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  2. 2026-08-17Upload AI_SECURITY_RED_TEAMING_DEFENSE_2026_30_SAMPLE.parquet782088827 B
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  3. 2026-08-17initial commitea72c2927 B
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Used by abliterated models none yet

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Metadata

License
cc-by-4.0

Repository

FILE .gitattributes FILE AI_SECURITY_RED_TEAMING_DEFENSE_2026_30_SAMPLE.parquet FILE README.md

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

Download the dataset

0

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("beatsprom/ai-security-red-teaming-defense-2026")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="beatsprom/ai-security-red-teaming-defense-2026", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/beatsprom/ai-security-red-teaming-defense-2026
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