datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cybergymcybergymarvo-cybergym-2000
ARVO CyberGym-format 2000-task dataset
This dataset is shaped to be loaded by Harbor's CyberGym adapter.
It combines jm-rt/arvo-cybergym-1000 with the second 1000-task
small-target ARVO batch built outside the original CyberGym set.
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-Dataset-Fenrir-v2.1
Cybersecurity Defense Instruction-Tuning Dataset (v2.1)
Created by Alican Kiraz
TL;DR
A ready-to-train dataset of 99,870 high-quality system / user / assistant triples for defensive, alignment-safe cybersecurity SFT training.
Apache-2.0 licensed and production-ready.
Scope: OWASP Top 10, MITRE ATT&CK, NIST CSF, CIS Controls, ASD Essential 8, modern authentication (OAuth 2 / OIDC / SAML), SSL / TLS, Cloud & DevSecOps, Cryptography, and AI Security.
1 What’s… See the full description on the dataset page: https://huggingface.co/datasets/AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.1.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.cybergymcyberseceval3-visual-prompt-injection
Dataset Card for CyberSecEval 3 - Visual Prompt Injection Benchmark
Dataset Details
Dataset Description
This dataset provides a multimodal benchmark for visual prompt injection, with text/image inputs. It is part of CyberSecEval 3, the third edition of Meta's flagship suite of security benchmarks for LLMs to measure cybersecurity risks and capabilities across multiple domains.
Language(s): English
License: MIT
Dataset Sources
Repository: Link… See the full description on the dataset page: https://huggingface.co/datasets/facebook/cyberseceval3-visual-prompt-injection.arvo-cybergym-2000
ARVO CyberGym-format 2000-task dataset
This dataset is shaped to be loaded by Harbor's CyberGym adapter.
It combines jm-rt/arvo-cybergym-1000 with the second 1000-task
small-target ARVO batch built outside the original CyberGym set.
kimi-cyber-reasoning
Kimi Cyber Reasoning
997 chain-of-thought records covering 13 cybersecurity disciplines and 4 systems engineering domains, distilled from the Kimi K3 reasoning model via API. Every record provides an explicit step-by-step <think> reasoning trace followed by a technical resolution, unified code diff fix, or structured tool invocation.
The dataset was curated as an anchor set for training, healing, and specializing compact reasoning models on systems security and tool calling… See the full description on the dataset page: https://huggingface.co/datasets/echel0nn1881/kimi-cyber-reasoning.cybergymCode_Vulnerability_Security_DPO
Cybernative.ai Code Vulnerability and Security Dataset
Dataset Description
The Cybernative.ai Code Vulnerability and Security Dataset is a dataset of synthetic Data Programming by Demonstration (DPO) pairs, focusing on the intricate relationship between secure and insecure code across a variety of programming languages. This dataset is meticulously crafted to serve as a pivotal resource for researchers, cybersecurity professionals, and AI developers who are keen on… See the full description on the dataset page: https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO.Cybersecurity_Reasoning_Dataset
Cybersecurity Reasoning Dataset (Model-Agnostic)
A model-agnostic re-architecture of the Cybersecurity Reasoning Dataset. The original
corpus was format-bound to the Mistral/Llama ### Instruction: / ### Response: template;
this dataset losslessly separates reasoning content from format, providing one
neutral canonical corpus plus four per-family rendered training variants
(Mistral/Llama, DeepSeek, ChatML, Gemma).
Why this exists. Identical content scored 88.1 on a… See the full description on the dataset page: https://huggingface.co/datasets/dpevzner/Cybersecurity_Reasoning_Dataset.Cyber-Conversational-Dataset-IndiccybergymCyber-Parallel-Dataset-IndicCabin-Human-Behavior-Dataset
全球最大的智能座舱多模态开源高质量数据集来啦！
一. 数据集摘要 (Dataset Summary)
「CyberData塞塔」智能座舱用户行为数据集是一个专为加速智能座舱感知算法开发而设计的高质量、程序化生成的图像数据集。随着 C-NCAP、EU GSR 等全球汽车安全法规对驾驶员监控系统 (DMS) 和乘客监控系统 (OMS) 提出更高要求，安全、合规、多样化的训练数据变得至关重要。本数据集通过合成方式，旨在解决真实世界数据采集面临的隐私风险、高昂成本和长尾场景覆盖不足等核心挑战。
该数据集包含 5,000 张 由 XAI Lab 自主研发的数据集生成引擎合成的高保真座舱内用户行为图像，每张图像都附带丰富的、100% 精确的标注信息。
核心特点:
丰富的场景多样性: 涵盖不同年龄、性别、种族和衣着风格的虚拟人模型，以及多种驾驶与乘坐行为（如使用手机、喝水、疲劳、手势）和面部表情。
专为座舱感知优化: 数据集可直接用于智能座舱端侧视觉模型，尤其是 DMS/OMS 算法的训练、微调与验证，帮助模型精准理解座舱内复杂的交互与状态。… See the full description on the dataset page: https://huggingface.co/datasets/XAILab-CyberSpark/Cabin-Human-Behavior-Dataset.cybergymcyberstrike-sft-120k
CyberStrike SFT 120K
The largest open-source offensive cybersecurity SFT dataset
121,422 expert-level red team instruction-response pairs across 15 security generators
Quick Start •
Why CyberStrike •
Domains •
Data Format •
Training Guide •
Benchmarks •
Contributing •
License
Why CyberStrike?
Most LLMs refuse or give surface-level answers to offensive security questions. Security professionals —… See the full description on the dataset page: https://huggingface.co/datasets/oyildirim/cyberstrike-sft-120k.CyberSecurityEvalCyberNative AI for CyberSecurity Q/A Evaluation | NOT FOR TRAINING
This is an evaluation dataset, please do not use for training.
Tested models:
CyberNative-AI/Colibri_8b_v0.1 | SCORE: 74/100 | Comments & code
cognitivecomputations/dolphin-2.9-llama3-8b | SCORE: 67/100
Hermes-2-Pro-Llama-3-8B | SCORE: 65/100
segolilylabs/Lily-Cybersecurity-7B-v0.2 | SCORE: 63/100 | Comments & code
cognitivecomputations/dolphin-2.9.1-llama-3-8b | FAILED TESTING (Gibberish)
CybersecurityQAA
Dataset Card for Cybersecurity Question-Answer-Assertion (QAA) Dataset
Dataset Summary
The Cybersecurity QAA dataset is designed to evaluate the capabilities of large language models (LLMs) in delivering cybersecurity advice and information, particularly for UK small and medium-sized enterprises (SMEs). The dataset comprises 1,563 question-answer-assertion triples across various cybersecurity topics, such as network security, data protection, and user access management.… See the full description on the dataset page: https://huggingface.co/datasets/Rowden/CybersecurityQAA.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.kin-cyber-dpo-v2
KIN Cybersecurity DPO v2 Preference Dataset
Empirically mined and zero-leak sanitized preference dataset for training cybersecurity and agentic code repair models.
Dataset Summary
Total DPO Pairs: 1,635 (Updated 2026-09-07)
Baseline v4 pairs: 1,495
Hermetic expansion (v5): +140 pairs (AST-invariant vulnerability repair, CWE-79 XSS guards, CWE-89 SQLi, CWE-22 Path Traversal, and supply chain integrity)
Format: Direct Preference Optimization (DPO) schema: {prompt… See the full description on the dataset page: https://huggingface.co/datasets/nyxspecter4/kin-cyber-dpo-v2.cybersecurity_full_question_answerscybergymCybersecurity-Dataset-Heimdall-v1.1
Cybersecurity Defense Instruction-Tuning Dataset (v1.1)
TL;DR
21 258 high‑quality system / user / assistant triples for training alignment‑safe, defensive‑cybersecurity LLMs. Curated from 100 000 + technical sources, rigorously cleaned and filtered to enforce strict ethical boundaries. Apache‑2.0 licensed.
1 What’s new in v1.1 (2025‑06‑21)
Change
v1.0
v1.1
Rows
2 500
21 258 (+760 %)
Covered frameworks
OWASP Top 10, NIST CSF
+ MITRE ATT&CK, ASD… See the full description on the dataset page: https://huggingface.co/datasets/AlicanKiraz0/Cybersecurity-Dataset-Heimdall-v1.1.Cybersecurity-ShareGPTConverted, deslopped, min-hash deduplicated, rejection filtered, grammar corrected using: https://github.com/The-Chaotic-Neutrals/ShareGPT-Formaxxing
IBCBench
IBCBench: Image Bundle Composition Benchmark
IBCBench is the benchmark introduced in Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching, accepted to the EMNLP 2026 Main Conference.
Paper | GitHub
Overview
Image Bundle Composition (IBC) shifts image retrieval from independently ranking images to dynamically composing a compact, cohesive bundle whose images jointly satisfy relational, temporal, spatial, or narrative… See the full description on the dataset page: https://huggingface.co/datasets/CyberDancer/IBCBench.Cabin-Human-ABNORMAL-Behavior-Dataset
全球最大的智能座舱多模态开源高质量数据集来啦！
一. 数据集摘要 (Dataset Summary)
「CyberData塞塔」智能座舱用户行为数据集是一个专为加速智能座舱感知算法开发而设计的高质量、程序化生成的图像数据集。随着 C-NCAP、EU GSR 等全球汽车安全法规对驾驶员监控系统 (DMS) 和乘客监控系统 (OMS) 提出更高要求，安全、合规、多样化的训练数据变得至关重要。本数据集通过合成方式，旨在解决真实世界数据采集面临的隐私风险、高昂成本和长尾场景覆盖不足等核心挑战。
该数据集包含 5,000 张 由 XAI Lab 自主研发的数据集生成引擎合成的高保真座舱内用户行为图像，每张图像都附带丰富的、100% 精确的标注信息。
数据格式
数据集以JSON格式提供，包含以下字段：
image_id: 图像ID
image_path: 图像路径
category: 行为类别
tags: 行为标签
behaviors: 包含左右乘客行为描述的对象
left_passenger: 左侧乘客行为描述… See the full description on the dataset page: https://huggingface.co/datasets/XAILab-CyberSpark/Cabin-Human-ABNORMAL-Behavior-Dataset.cyber-evidence-dataset
Cyber Security Evidence Dataset — MITRE ATT&CK Safe Reference
This repository contains a narrow, title-only reference configuration derived from the official MITRE ATT&CK Enterprise v19.2 STIX data. It is published separately from the broader Cyber Security Evidence Dataset project because the CISA-derived evidence layers remain private and are not included here.
Scope
The release contains 697 deterministic records. Each record provides an ATT&CK technique… See the full description on the dataset page: https://huggingface.co/datasets/frangelbarrera/cyber-evidence-dataset.