extract 0 0 0

AYI-NEDJIMI/mitre-attack-en

published by @AYI-NEDJIMI

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.5K
Last 30 days
117
Likes
-
Size
2.4 MB
Created on HF
2026-02-11
Age
8 months ago

Description

MITRE ATT&CK Enterprise - Complete English Dataset

Comprehensive dataset of the MITRE ATT&CK Enterprise framework on Hugging Face. Data extracted automatically from official STIX 2.1 sources.

Description

This dataset covers the entire MITRE ATT&CK Enterprise framework:

14 tactics with full descriptions

691 techniques and sub-techniques (216 techniques + 475 sub-techniques)

44 mitigations with associated techniques

172 threat groups (APTs) with their known… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/mitre-attack-en.

Tags

task_categories:question-answeringtask_categories:text-classificationsource_datasets:originallanguage:enlicense:apache-2.0size_categories:n<1Kregion:uscybersecurityayinedjimi-consultantsenmitre-attackthreat-intelligenceattack-techniquesadversary-emulationenglishsecuritypentestred-teamblue-teamSOCCTIthreat-huntingincident-responsevulnerability-assessmentdevsecopsoffensive-securitydefensive-securitysecurity-trainingCTFOSCPCEH

README current version from Hugging Face


language:

  • en
    license: apache-2.0
    size_categories:
  • n<1K
    task_categories:
  • question-answering
  • text-classification
    tags:
  • cybersecurity
  • ayinedjimi-consultants
  • en
  • mitre-attack
  • threat-intelligence
  • attack-techniques
  • adversary-emulation
  • english
  • security
  • pentest
  • red-team
  • blue-team
  • SOC
  • CTI
  • threat-hunting
  • incident-response
  • vulnerability-assessment
  • devsecops
  • offensive-security
  • defensive-security
  • security-training
  • CTF
  • OSCP
  • CEH
    pretty_name: MITRE ATT&CK Framework (English)
    authors:
  • name: Ayi NEDJIMI
    url: https://ayinedjimi-consultants.fr/bio.html
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      source_datasets:
  • original
    dataset_info:
    dataset_size: null
    download_size: null

MITRE ATT&CK Enterprise - Complete English Dataset

Comprehensive dataset of the MITRE ATT&CK Enterprise framework on Hugging Face. Data extracted automatically from official STIX 2.1 sources.

Description

This dataset covers the entire MITRE ATT&CK Enterprise framework:

  • 14 tactics with full descriptions
  • 691 techniques and sub-techniques (216 techniques + 475 sub-techniques)
  • 44 mitigations with associated techniques
  • 172 threat groups (APTs) with their known techniques
  • 30 Q&A pairs covering ATT&CK concepts

Structure

1. tactics.json (14 entries)

id, name, description, shortname, url, techniques_count

2. techniques.json (691 entries)

id, name, description, tactic_ids, tactic_names, is_subtechnique, parent_id, platforms, detection, mitigation_ids, data_sources, url, created, modified

3. mitigations.json (44 entries)

id, name, description, technique_ids, url

4. groups.json (172 entries)

id, name, aliases, description, technique_ids, url

5. qa_dataset.json (30 entries)

id, question, answer, category, reference, difficulty, keywords

Usage

from datasets import load_dataset

ds = load_dataset("AYI-NEDJIMI/mitre-attack-en", data_files="data/techniques.json")
for tech in ds["train"]:
    print(f"{tech['id']} - {tech['name']}")

Use Cases

  • Threat Intelligence: Structured reference for threat analysis
  • SOC Training: Educational material for security analysts
  • Red Team: ATT&CK-based exercise planning
  • Detection Engineering: Mapping detection rules to ATT&CK techniques
  • RAG / Fine-tuning: Training specialized cybersecurity models

Other Datasets

Dataset Description Link
OWASP Top 10 FR OWASP Top 10 in French owasp-top10-fr
OWASP Top 10 EN OWASP Top 10 in English owasp-top10-en
ISO 27001:2022 FR ISO 27001 in French iso27001
ISO 27001:2022 EN ISO 27001 in English iso27001-en
MITRE ATT&CK FR ATT&CK in French mitre-attack-fr
AD Attacks FR AD Attacks in French ad-attacks-fr
AD Attacks EN AD Attacks in English ad-attacks-en

Interactive Explorer

Explore this dataset interactively: MITRE ATT&CK Explorer

Full Collection

This dataset is part of the Cybersecurity Datasets & Tools collection on HuggingFace.

Source

  • MITRE ATT&CK: Official STIX 2.1 data from attack-stix-data
  • Extraction: Automated with mitreattack-python

License

Apache 2.0 - MITRE ATT&CK data is under Apache 2.0.

Citation

@dataset{mitre_attack_en_2025,
  title={MITRE ATT&CK Enterprise - Complete English Dataset},
  author={AYI-NEDJIMI},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/AYI-NEDJIMI/mitre-attack-en}
}

Author & Resources

Ayi NEDJIMI - Senior Consultant in Offensive Cybersecurity & AI

Cybersecurity Articles

AI Articles

Networks

Author

Ayi NEDJIMI - Cybersecurity Consultant & Trainer | AI Expert

Related Articles

Free Cybersecurity Resources

Part of the Collection

This dataset is part of the Cybersecurity Datasets & Tools Collection by AYI-NEDJIMI Consultants.

README history 17 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. 2026-02-13Add schema.org SEO metadata to Dataset Cardb648a4b8.5 KB
    Loading...
  2. 2026-02-13Update README with deep backlinks to ayinedjimi-consultants.fr915c3d98.3 KB
    Loading...
  3. 2026-02-12Upload README.md with huggingface_hub1367da25.6 KB
    Loading...
  4. 2026-02-11Upload data/qa_dataset.parquet with huggingface_hub8cb95684.5 KB
    Loading...
  5. 2026-02-11Upload data/qa_dataset.json with huggingface_hubf26ee1e4.5 KB
    Loading...
  6. 2026-02-11Upload data/qa_dataset.parquet with huggingface_hub190bf064.5 KB
    Loading...
  7. 2026-02-11Upload data/qa_dataset.json with huggingface_hubb08f27a4.5 KB
    Loading...
  8. 2026-02-11Upload data/groups.parquet with huggingface_hubee333ef4.5 KB
    Loading...
  9. 2026-02-11Upload data/groups.json with huggingface_hub6daf18b4.5 KB
    Loading...
  10. 2026-02-11Upload data/mitigations.parquet with huggingface_hub316d69c4.5 KB
    Loading...
  11. 2026-02-11Upload data/mitigations.json with huggingface_hub38996284.5 KB
    Loading...
  12. 2026-02-11Upload data/techniques.parquet with huggingface_hub10af6d34.5 KB
    Loading...
  13. 2026-02-11Upload data/tactics.parquet with huggingface_hubea5b9684.5 KB
    Loading...
  14. 2026-02-11Upload data/techniques.json with huggingface_hub1f1443a4.5 KB
    Loading...
  15. 2026-02-11Upload data/tactics.json with huggingface_hub9c16edc4.5 KB
    Loading...
  16. 2026-02-11Upload README.md with huggingface_hub5ba21c64.5 KB
    Loading...
  17. 2026-02-11initial commit93dd84f0 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.

Related datasets same stage · extract

Read further

Metadata

License
apache-2.0

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("AYI-NEDJIMI/mitre-attack-en")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="AYI-NEDJIMI/mitre-attack-en", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/AYI-NEDJIMI/mitre-attack-en
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