datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.cybersecurity-qa-v2
Cybersecurity Q&A Dataset v2 — 2.6M Examples
A large-scale cybersecurity Q&A dataset for fine-tuning LLMs on security topics.
2,621,468 examples covering vulnerabilities, attack techniques, weaknesses, and defensive strategies.
Statistics
Source
Examples
Description
NIST NVD CVE Database
~1,954,225
All CVEs (2002–2025): overview, severity, detection, remediation
AlicanKiraz0/All-CVE-Records-Training-Dataset
~297,441
Detailed CVE analysis with markdown… See the full description on the dataset page: https://huggingface.co/datasets/rezaduty/cybersecurity-qa-v2.cyber-security
Cybersecurity AI Knowledge Base — PhD-Level Dataset
Overview
This is the most comprehensive cybersecurity knowledge base ever assembled for AI training. It covers all domains of cybersecurity at PhD-level depth — from offensive red teaming and bug bounty exploitation to defensive SOC operations, digital forensics, and cutting-edge AI/LLM security.
Size: 16 GB | Files: 507 | Domains: 30+ | Sources: 15+ platforms
Purpose
Train the world's most… See the full description on the dataset page: https://huggingface.co/datasets/Vyber07/cyber-security.nist-cybersecurity-training
NIST Cybersecurity Training Dataset v1.1
The largest open-source NIST cybersecurity training dataset for fine-tuning LLMs
Version 1.1 Highlights
What's New in v1.1:
✅ Added CSWP (Cybersecurity White Papers) series - 23 new documents
✅ Fixed 6,150 broken DOI links via format normalization
✅ Removed 202 malformed DOIs (double URL prefixes)
✅ Validated and fixed 124,946 total links
✅ Cataloged 72,698 broken links for future recovery
✅ 0 broken link markers remaining in… See the full description on the dataset page: https://huggingface.co/datasets/ethanolivertroy/nist-cybersecurity-training.CyberSecurity-1M
CyberSecurity-1M
A large-scale, multi-source cybersecurity knowledge dataset containing 1.19M records across 16 categories, collected exclusively for academic, non-commercial research purposes. Last updated: 2026-05-27.
Disclaimer: This dataset is provided for academic research only. All content is aggregated from publicly available sources. The views, opinions, and information expressed in the dataset content do not represent the views or positions of the research team. The… See the full description on the dataset page: https://huggingface.co/datasets/WhitzardAgent/CyberSecurity-1M.cyber-security
Cybersecurity Instruction-Tuning Dataset
A large, cleaned, multi-domain cybersecurity chat dataset for LLM finetuning,
built from 198 distinct sources spanning offensive security, blue-team
operations, vulnerability intelligence, cloud/AWS security, malware analysis,
digital forensics, and more. Every record is normalized to the standard
messages chat format and deduplicated at both file and record level.
⚠️ Research use only. This dataset is provided exclusively for… See the full description on the dataset page: https://huggingface.co/datasets/oi-uae/cyber-security.cybersecurity-soc-threat-hunting-sft-dpo-2026
🛡️ Enterprise Cybersecurity AI, SOC Tier-3 & Threat Hunting SFT/DPO Dataset (2026)
High-precision multi-turn instruction tuning and preference optimization dataset with step-by-step SOC Tier-3 Chain-of-Thought (<thought>) kill-chain diagnostic trees for fine-tuning LLMs (Llama-3.3, Qwen-2.5-Coder, DeepSeek-R1-Distill, Mistral) into Senior SOC Threat Hunters, Incident Responders, and Red-Team Defense Architects.
📊 Dataset Architecture & Highlights… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/cybersecurity-soc-threat-hunting-sft-dpo-2026.cybersecurity_qa
Cybersecurity QA
This dataset contains instruction–response pairs focused on cybersecurity concepts.It can be used for instruction-tuned fine-tuning of LLMs
Dataset Structure
Format: JSONL (.jsonl)
Each line is a JSON object with fields:
instruction: the task or question
input: optional extra context (empty string in this dataset)
output: the expected answer
Example:
{"instruction": "What is cybersecurity's primary purpose?", "input": "", "output":… See the full description on the dataset page: https://huggingface.co/datasets/mariiazhiv/cybersecurity_qa.cybersecurity-questionaire
Dataset Card for cybersecurity-questionaire
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/MichaelPrimez/cybersecurity-questionaire/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/MichaelPrimez/cybersecurity-questionaire.cybersecurity-sft-100k
Cybersecurity SFT 100K
A synthetic supervised fine-tuning dataset of 100,000 high-quality cybersecurity conversations designed to train AI assistants for security operations, threat analysis, incident response, and defensive security engineering.
Dataset Description
This dataset covers real-world security scenarios across 9 cybersecurity domains. Each record follows the ShareGPT conversation format with a practitioner-level query and a detailed, structured… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/cybersecurity-sft-100k.cybersecurity-QA-with-negatives
Cybersecurity QA Dataset With Negatives
Description
This dataset was created by combining and processing the following publicly available cybersecurity question-answering datasets:
Rowden/CybersecurityQAA
sambanovasystems/attackqa
mariiazhiv/cybersecurity_qa
The resulting dataset is designed for training and evaluating retrieval, embedding, reranking, and contrastive learning models in the cybersecurity domain.
Dataset Structure
Each sample… See the full description on the dataset page: https://huggingface.co/datasets/jobby32/cybersecurity-QA-with-negatives.ai-cybersecurity-en
AI in Offensive and Defensive Cybersecurity - English Dataset
Description
Comprehensive bilingual dataset covering the use of Artificial Intelligence in cybersecurity, from both the offensive (attackers) and defensive (defenders) perspectives. This is the English version.
Articles Covered
This dataset synthesizes knowledge from the following articles:
Offensive AI: How Attackers Use LLMs - LLM-based attack techniques
AI Threat Detection - AI-augmented SIEM… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/ai-cybersecurity-en.cybersecurity-controls-instructions
Cybersecurity Controls Instructions
Security control, incident response and risk management guidance from NIST Special Publications, turned into instruction-following examples.
Splits
split
rows
source documents
train
13,106
56
validation
4,840
18
test
5,697
18
Splits are held out by source document. Every chunk yields several
instruction rows, so a random row-level split would place the same passage in
train and test; whole documents are held… See the full description on the dataset page: https://huggingface.co/datasets/nuhmanpk/cybersecurity-controls-instructions.cybersecurity-qa-v2
Cybersecurity Q&A Dataset v2 — 2.6M Examples
A large-scale cybersecurity Q&A dataset for fine-tuning LLMs on security topics.
2,621,468 examples covering vulnerabilities, attack techniques, weaknesses, and defensive strategies.
Statistics
Source
Examples
Description
NIST NVD CVE Database
~1,954,225
All CVEs (2002–2025): overview, severity, detection, remediation
AlicanKiraz0/All-CVE-Records-Training-Dataset
~297,441
Detailed CVE analysis with markdown… See the full description on the dataset page: https://huggingface.co/datasets/Nobody05/cybersecurity-qa-v2.NIST-CyberSecurity-Framework
# NIST Cybersecurity Framework 2.0 Question Answering Dataset
Dataset Summary
The NIST Cybersecurity Framework 2.0 Question Answering Dataset is a synthetic
instruction-style question-answering dataset derived from the NIST Cybersecurity
Framework (CSF) 2.0.
The dataset is designed to support training, fine-tuning, retrieval evaluation, and
domain-specific question-answering use cases related to cybersecurity risk management,
cybersecurity governance, enterprise risk management… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/NIST-CyberSecurity-Framework.Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum… See the full description on the dataset page: https://huggingface.co/datasets/Soban1234/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.ai-cybersecurity-fr
IA en Cybersecurite Offensive et Defensive - Dataset Francais
Description
Dataset complet et bilingue couvrant l'utilisation de l'Intelligence Artificielle en cybersecurite, tant du cote offensif (attaquants) que defensif (defenseurs). Ce dataset est la version francaise.
Articles couverts
Ce dataset synthetise les connaissances des articles suivants :
IA Offensive : Comment les Attaquants Utilisent les LLM - Techniques d'attaque basees sur les LLM
Detection… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/ai-cybersecurity-fr.Executive-Order-14144-Strengthening-and-Promoting-Innovation-in-Cybersecurity
Executive Order 14144 Cybersecurity Question Answering Dataset
Maintainer: Terry Eppler
Ownership: US Federal Government
Dataset Summary
The Executive Order 14144 Cybersecurity Question Answering Dataset is a
synthetic instruction-style question-answering dataset derived from Executive
Order 14144 of January 16, 2025, Strengthening and Promoting Innovation in the
Nation’s Cybersecurity.
The dataset is designed to support training, fine-tuning, retrieval… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/Executive-Order-14144-Strengthening-and-Promoting-Innovation-in-Cybersecurity.DoD-Instruction-8500-01-Cybersecurity
🛡️ DoD Cybersecurity Question-Answer Dataset
Source: DoD Instruction 8500.01
Source Effective Date: March 14, 2014
Change Incorporated: Change 1, effective October 7, 2019
Source Organization: Office of the DoD Chief Information Officer
Source Ownership: United States Department of Defense
📋 Overview
Dataset Summary
The DoD Cybersecurity Question-Answer Dataset is a structured, document-grounded natural-language dataset derived from DoD… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/DoD-Instruction-8500-01-Cybersecurity.Trendyol-Cybersecurity-Instruction-Tuning-Dataset-archive
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum… See the full description on the dataset page: https://huggingface.co/datasets/ChipHolmes/Trendyol-Cybersecurity-Instruction-Tuning-Dataset-archive.Cybersecurity-Dataset
Cybersecurity-Dataset
(Note: Replace the above with the actual URL of the uploaded image for the "智穹盾" poster. You can upload it to Hugging Face or another host like GitHub for embedding.)
Dataset Summary
The Cybersecurity-Dataset is a comprehensive collection of cybersecurity-related data designed for training and fine-tuning large language models (LLMs) in network security applications. It focuses on inner-network (offline) environments, addressing pain points such as… See the full description on the dataset page: https://huggingface.co/datasets/hcnote/Cybersecurity-Dataset.Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/ahmadkaab/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/andycoco1128/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.violentutf_cybersecurityBehavior
Dataset Card for Dataset Name
Large Language Models (LLMs) have the potential to enhance Agent-Based Modeling by better representing complex interdependent cybersecurity systems, improving cybersecurity threat modeling and risk management. Evaluating LLMs in this context is crucial for legal compliance and effective application development. Existing LLM evaluation frameworks often overlook the human factor and cognitive computing capabilities essential for interdependent… See the full description on the dataset page: https://huggingface.co/datasets/theResearchNinja/violentutf_cybersecurityBehavior.Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/ukcli/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.Executive-Order-14306-Strengthen-the-Nations-Cybersecurity
Executive Order 14306 Cybersecurity Amendments Dataset
Maintainer: Terry Eppler
Ownership: US Federal Government
Dataset Summary
The Executive Order 14306 Cybersecurity Amendments Question Answering Dataset
is a synthetic instruction-style question-answering dataset derived from
Executive Order 14306 of June 6, 2025, Sustaining Select Efforts To Strengthen
the Nation’s Cybersecurity and Amending Executive Order 13694 and Executive
Order 14144.
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/Executive-Order-14306-Strengthen-the-Nations-Cybersecurity.cybersecurity-qa-v2
Cybersecurity Q&A Dataset v2 — 2.6M Examples
A large-scale cybersecurity Q&A dataset for fine-tuning LLMs on security topics.
2,621,468 examples covering vulnerabilities, attack techniques, weaknesses, and defensive strategies.
Statistics
Source
Examples
Description
NIST NVD CVE Database
~1,954,225
All CVEs (2002–2025): overview, severity, detection, remediation
AlicanKiraz0/All-CVE-Records-Training-Dataset
~297,441
Detailed CVE analysis with markdown… See the full description on the dataset page: https://huggingface.co/datasets/Manusagents/cybersecurity-qa-v2.trendyol-cybersecurity-instruction
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/trendyol-cybersecurity-instruction.Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/invinciblejha01/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.DOD-Cybersecurity-Reciprocity-Playbook
DoD Cybersecurity Reciprocity Playbook Question-Answer Dataset
Maintainer: Terry Eppler
Owner: US Federal Government
Dataset Summary
This dataset contains 150 document-grounded question-and-answer records based on the Department of Defense Cybersecurity Reciprocity Playbook, Version 1.0, March 2024.
The source explains how Department of Defense organizations should apply cybersecurity reciprocity when assessing, authorizing, deploying, and maintaining… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/DOD-Cybersecurity-Reciprocity-Playbook.