extract 0 0 0

elementalsouls/Redteam-Operations-Datasets

published by @elementalsouls

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
333
Last 30 days
16
Likes
2
Size
1.2 MB
Created on HF
2025-08-17
Age
1 years ago

Description

Redteam-Operations-Datasets

A comprehensive dataset for training, benchmarking, and documenting offensive/red-team operations in Active Directory and hybrid environments.

Structure

datasets/ — All dataset files, organized by attack phase, tactic, and technique.

datasets/schema/record.schema.json — Canonical schema for dataset records.

datasets/*.jsonl — Task-specific datasets, each line is a JSON object.

Usage

For fine-tuning LLMs, benchmarking… See the full description on the dataset page: https://huggingface.co/datasets/elementalsouls/Redteam-Operations-Datasets.

Tags

size_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantregion:us

README current version from Hugging Face

Redteam-Operations-Datasets

A comprehensive dataset for training, benchmarking, and documenting offensive/red-team operations in Active Directory and hybrid environments.

Structure

  • datasets/ — All dataset files, organized by attack phase, tactic, and technique.
  • datasets/schema/record.schema.json — Canonical schema for dataset records.
  • datasets/*.jsonl — Task-specific datasets, each line is a JSON object.

Usage

  • For fine-tuning LLMs, benchmarking detection, or creating mindmaps/playbooks.
  • Each file is a JSONL (one record per line), see the example schema below.

Example Record

{"instruction": "Scan Network", "input": "nxc smb <ip_range>", "output": "NetExec-like tool invocation for SMB/LDAP/MSSQL and other probes."}
{"instruction": "NTLM relay > To LDAP(S)", "input": "ntlmrelayx.py -t ldaps://<dc_ip> --remove-mic -smb2support --interactive # connect to ldap_shell with nc 127.0.0.1 10111 #LDAP SHELL", "output": "Note or procedural step under 'NTLM relay > To LDAP(S)'."}
{"instruction": "Scan Network", "input": "nmap -Pn -sC -sV -p- -oA <output> <ip>", "output": "Network/service scan or enumeration command (Nmap) with specified options."}
{"instruction": "Kerberos ASREP ($krb5asrep$23...)", "input": "hashcat -m 18200 -a 0 hash.txt <rockyou.txt>", "output": "Tool or command referenced under 'Kerberos ASREP ($krb5asrep$23...)'."}

README history 8 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. 2025-08-17Update README.md17a84a21.4 KB
    Loading...
  2. 2025-08-17Update README.md194e1fd1.4 KB
    Loading...
  3. 2025-08-17Create README.md90569352.2 KB
    Loading...
  4. 2025-08-17Update ad_mindmap_technical.jsonl78332d80 B
    Loading...
  5. 2025-08-17Upload ad_mindmap_full_deep.jsonlb1dbf610 B
    Loading...
  6. 2025-08-17Upload ad_mindmap_scenarios.jsonlfa919de0 B
    Loading...
  7. 2025-08-17Upload ad_mindmap_technical.jsonl05a0cad0 B
    Loading...
  8. 2025-08-17initial commit91c9ade0 B
    Loading...

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.

  1. 2025-08-18[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

Repository

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("elementalsouls/Redteam-Operations-Datasets")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="elementalsouls/Redteam-Operations-Datasets", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/elementalsouls/Redteam-Operations-Datasets
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration