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-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.cyberseceval3-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.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.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.cybersecurity_full_question_answersCybersecurity-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
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.cybersec-chatml-vuln-patch-v1
Cybersecurity ChatML SFT Dataset (Detection + Patch + Multitask)
This dataset contains ChatML records for 2 security tasks:
Vulnerability detection (is_vulnerable, cwe, severity JSON output)
Secure patch generation (assistant returns patched code only)
Files
chatml_detection_train.jsonl
chatml_detection_val.jsonl
chatml_patch_train.jsonl
chatml_patch_val.jsonl
chatml_multitask_train.jsonl
chatml_multitask_val.jsonl
chatml_build_manifest.json… See the full description on the dataset page: https://huggingface.co/datasets/Kushalkhemka/cybersec-chatml-vuln-patch-v1.cybersec-master-dataset
Cybersecurity Master Instruction Dataset
Overview
A large-scale cybersecurity instruction-tuning dataset in ShareGPT conversational format,
assembled from multiple authoritative open sources and deduplicated.
At 1,807,941 deduplicated records, this appears to be one of the larger cybersecurity
LLM fine-tuning / instruction-style datasets on Hugging Face, and likely among the larger
broad vulnerability-intelligence corpora in conversational/instruction format. It is… See the full description on the dataset page: https://huggingface.co/datasets/Voidreaper2026/cybersec-master-dataset.Cybersecurity-LLM-CVE2025.06.07 Updated data code :https://github.com/Bouquets-ai/Data-Processing/blob/main/CVE-Data.py
Change 121 lines of code (keyword="CVE-2025") to obtain the required CVE time
93 lines of code (json record=) to change the required format
Cybersecurity-LLM-CVE Dataset Introduction 🚀
Overview 🛡️
An open-source cybersecurity vulnerability dataset designed for training/evaluating Large Language Models (LLMs) in security domains. Covers all public CVE IDs from January 1, 2021 to April 9, 2025… See the full description on the dataset page: https://huggingface.co/datasets/Bouquets/Cybersecurity-LLM-CVE.Cybersecurity-High-Quality-Dataset
Cybersecurity High-Quality Dataset (网络安全高质量数据集)
概述 | Overview
这是一个经过多次清洗和质量筛选的网络安全领域高质量中英文问答数据集，包含270,271条高质量数据。本数据集基于原始的大型网络安全数据集，使用 DataSanity 工具进行严格的数据清洗和质量评估，仅保留得分4.5分及以上的高质量数据，适用于网络安全领域的AI模型训练、知识图谱构建、智能问答系统开发等应用场景。
A high-quality Chinese-English cybersecurity Q&A dataset containing 270,271 carefully curated entries. This dataset is derived from a large-scale cybersecurity corpus and rigorously cleaned using the DataSanitytool, with only data scoring 4.5 or… See the full description on the dataset page: https://huggingface.co/datasets/hcnote/Cybersecurity-High-Quality-Dataset.cybersecurity-rules
Cybersecurity Detection Rules Dataset
This dataset contains a collection of 950 detection rules from official SIGMA, YARA, and Suricata repositories. Knowledge distillation was applied to generate questions for each rule and enrich the responses, using 0dAI-7.5B.
Contents
A set of detection rules for cybersecurity threat and intrusion detection in JSONL format (rules_dataset.jsonl). It contains the prompts and the associated responses.
The rules have been obtained from… See the full description on the dataset page: https://huggingface.co/datasets/jcordon5/cybersecurity-rules.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.CyberSecurityDataset
Dataset Card for Cyber Security Dataset
This dataset provides a collection of curated data points related to cybersecurity, focusing on penetration testing, known exploits, and vulnerability analysis. It is intended to aid researchers, educators, and developers in building AI tools for cybersecurity applications.
Dataset Details
Dataset Description
This dataset contains labeled information about exploits, vulnerabilities, and penetration testing techniques.… See the full description on the dataset page: https://huggingface.co/datasets/Chemically-motivated/CyberSecurityDataset.Cybersecurity-High-Quality-Dataset
Cybersecurity High-Quality Dataset (网络安全高质量数据集)
概述 | Overview
这是一个经过多次清洗和质量筛选的网络安全领域高质量中英文问答数据集，包含270,271条高质量数据。本数据集基于原始的大型网络安全数据集，使用 DataSanity 工具进行严格的数据清洗和质量评估，仅保留得分4.5分及以上的高质量数据，适用于网络安全领域的AI模型训练、知识图谱构建、智能问答系统开发等应用场景。
A high-quality Chinese-English cybersecurity Q&A dataset containing 270,271 carefully curated entries. This dataset is derived from a large-scale cybersecurity corpus and rigorously cleaned using the DataSanity tool, with only data scoring 4.5… See the full description on the dataset page: https://huggingface.co/datasets/atmike/Cybersecurity-High-Quality-Dataset.cybersec-eval
CyberSec-Eval
This dataset is a language-partitioned version of CS-Eval, a comprehensive evaluation toolkit for fundamental cybersecurity models or large language models' cybersecurity abilities.
The original dataset is split into English and Chinese subsets to facilitate targeted evaluation of models in specific language environments.
Dataset Structure
The dataset contains two configurations:
en: Questions written in English (337 items).
zh: Questions written… See the full description on the dataset page: https://huggingface.co/datasets/iselabvn/cybersec-eval.cybersecurity-dataset-fenrir
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.… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/cybersecurity-dataset-fenrir.cybersecurity_news_telegram_dataset
Description in English:
Dataset collected from 30 Russian-language Telegram news channels on the topic Cybersecurity,
collected and marked up automatically using the Scoutie data collection and marking service.Try Scoutie and collect the same or another dataset using the link.
Dataset fields:
taskId - task identifier in the Scouti service. text - main text. url - link to the publication. sourceLink - link to Telegram. subSourceLink - link to the channel. views -… See the full description on the dataset page: https://huggingface.co/datasets/ScoutieAutoML/cybersecurity_news_telegram_dataset.Cybersecurity_QACybersecurity-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.… See the full description on the dataset page: https://huggingface.co/datasets/Machivelli/Cybersecurity-Dataset-Fenrir-v2.1.Cybersecurity-ShareGPT-ChineseEnglish
网络安全中文数据集 (ShareGPT 格式)
本数据集是一个关于网络安全的中文对话数据集，采用 ShareGPT 格式，适用于语言模型的训练和微调。该数据集包含多个与网络安全相关的对话，能够帮助语言模型在网络安全领域进行学习与优化。数据集以 json 和 jsonl 两种格式提供，便于用户灵活使用。
数据集内容
该数据集以网络安全为主题的对话数据为核心，旨在用于以下任务：
语言模型的训练与微调
对话生成任务
网络安全相关的对话系统构建
研究网络安全领域的自动化问答系统
数据格式
每个数据样本的格式遵循 ShareGPT 的对话格式，结构如下：
{
"conversations": [
{
"from": "system",
"value": "..."
},
{
"from": "human",
"value": "..."
}… See the full description on the dataset page: https://huggingface.co/datasets/ystemsrx/Cybersecurity-ShareGPT-Chinese.cybersec-qa-dataset-zh
Cybersecurity QA Dataset (zh) · 中文网络安全技术问答数据集
面向 防御与安全教育 的中文网络安全技术问答数据集，适用于 LLM 指令微调（SFT）。
21,799 条纯技术问答，零国家归因、零地缘内容，附可复现质检流水线与 CI 校验。
数据概览
总条数：21,799（149 批）
格式：JSONL，每行 {"user": ..., "assistant": ...}
平均答案长度：约 1,231 字，结构化分层（原理 → 攻击面 → 检测 → 缓解）
主题分布（按问题关键词约略归类）
主题
条数
二进制 / 漏洞利用
5186
Web 安全
4858
其他 / 综合
2730
密码学
1648
蓝队 / DFIR / 检测
1622
AD 域 / 内网 / 后渗透
1278
网络协议攻防
1151
云原生 / 容器
1133
移动 / IoT / 固件
837
恶意软件 / 逆向分析
764… See the full description on the dataset page: https://huggingface.co/datasets/uninhibited-scholar/cybersec-qa-dataset-zh.cybersec-jsonschemabench-cloudtrail-v6
CybersecJSONSchemaBench CloudTrail Attack Reconstruction v6
A 100-problem long-context cybersecurity reasoning benchmark over real flAWS CloudTrail logs with synthetically injected MITRE ATT&CK attack chains.
Each task gives the model 600 real CloudTrail records (280-380K tokens of JSON) containing a single hidden multi-step attack chain. The model must produce a structured answer identifying the attacking principal, the MITRE ATT&CK technique, the per-phase records that constitute… See the full description on the dataset page: https://huggingface.co/datasets/achinta3/cybersec-jsonschemabench-cloudtrail-v6.deer_sec-japanese-cybersecurity-chatml-v2
deer_sec-japanese-cybersecurity-chatml-v2.0
📊 Dataset Details
Total Rows: 83,562 件
File Size: 約 492.5 MB
Format: JSONL (ChatML形式)
Language: 日本語 (Japanese)
概要 (Overview)
本データセットは、高度なサイバー防御と脅威インテリジェンスに特化したインストラクション・チューニング用のデータセットです。AlicanKiraz0様によって公開された Cybersecurity-Dataset-Fenrir-v2.0 を元に構築されています。
元の膨大な英語データの中から約 99.5% （83,562件） を抽出し、翻訳特化モデルである translategemma:12b を用いて高品質な日本語へ翻訳しました。その後、LLMのファインチューニング（LoRA等）にそのまま利用できるよう、厳格なデータクレンジングと整形を行っています。
特徴… See the full description on the dataset page: https://huggingface.co/datasets/deer-sec/deer_sec-japanese-cybersecurity-chatml-v2.CyberSecurityDataset
Dataset Card for Cyber Security Dataset
This dataset provides a collection of curated data points related to cybersecurity, focusing on penetration testing, known exploits, and vulnerability analysis. It is intended to aid researchers, educators, and developers in building AI tools for cybersecurity applications.
Dataset Details
Dataset Description
This dataset contains labeled information about exploits, vulnerabilities, and penetration testing… See the full description on the dataset page: https://huggingface.co/datasets/ArkhAngelLifeJiggy/CyberSecurityDataset.