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seelieBeelie/aether-redteam-dataset

published by @seelieBeelie

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
3.3K
Last 30 days
3K
Likes
-
Size
6.5 GB
Created on HF
2026-03-26
Age
6 months ago

Description

AETHER Red Team Dataset

Uncensored offensive cybersecurity dataset for training autonomous pentesting AI (Hermes Agent).

v15 (2026-05-02)

20,072 redteam records (93.8% approved)

Dropped: 2,687 non-redteam + 66 syntax errors + 4 refusals + 5 exact duplicates

Categories: cloud, active_directory, ics_ot, malware_edr, web_api, cryptography, binary_exploitation, network_infra, osint_social_engineering, threat_intel_purple_team, mobile, bug_bounty, wireless_physical… See the full description on the dataset page: https://huggingface.co/datasets/seelieBeelie/aether-redteam-dataset.

Tags

region:us

README current version from Hugging Face

AETHER Red Team Dataset

Uncensored offensive cybersecurity dataset for training autonomous pentesting AI (Hermes Agent).

v15 (2026-05-02)

  • 20,072 redteam records (93.8% approved)
  • Dropped: 2,687 non-redteam + 66 syntax errors + 4 refusals + 5 exact duplicates
  • Categories: cloud, active_directory, ics_ot, malware_edr, web_api, cryptography, binary_exploitation, network_infra, osint_social_engineering, threat_intel_purple_team, mobile, bug_bounty, wireless_physical
  • Prerequisites populated: 15,959 records
  • MITRE ATT&CK phases: all 20,072 records
  • Command syntax validated against real tool docs (PetitPotam, certipy, mimikatz, secretsdump, IMDSv2, AWS CLI, frida, sed, PowerView)
  • Refusal content purged (ZERO refusals)
  • Stratified splits: train 16,053 / val 2,002 / test 2,017

Splits

Split Records
Train 16,053
Val 2,002
Test 2,017

Format

OpenAI-compatible messages with native tool_calls JSON + tool_call_id linkage.

README history 20 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.

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Repository

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("seelieBeelie/aether-redteam-dataset")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="seelieBeelie/aether-redteam-dataset", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/seelieBeelie/aether-redteam-dataset
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