license: apache-2.0
language:
- en
tags: - Cyber
size_categories: - 10K<n<100K
Cyber Security Instruction Dataset
Dataset Summary
Cyber Security Instruction Dataset is an instruction-following dataset created for fine-tuning Large Language Models (LLMs) in cybersecurity and penetration testing tasks.
The dataset focuses on high-quality question-answer pairs covering defensive security, ethical hacking, secure coding, AI security, and vulnerability assessment.
Features
- Instruction tuning format
- Multi-turn ready
- Human-readable responses
- LLM fine-tuning compatible
- PEFT / LoRA compatible
- Hugging Face Datasets compatible
Supported Topics
- Web Application Security
- Network Security
- API Security
- Mobile Security
- Cloud Security
- AI Security
- LLM Security
- Prompt Injection
- Jailbreak Attacks
- RAG Security
- Secure Coding
- Python Security
- Linux Security
- Windows Security
- Docker Security
- Kubernetes Security
- DevSecOps
- OWASP Top 10
- OWASP API Top 10
- MITRE ATT&CK
- MITRE ATLAS
- CVE Analysis
- CVSS
- Burp Suite
- Nmap
- SQLMap
- Metasploit
- Wireshark
- Nuclei
- Reconnaissance
- VAPT Reporting
Dataset Format
Each record follows the instruction tuning format.
Example:
{
"instruction": "What is SQL Injection?",
"input": "",
"output": "SQL Injection is a vulnerability that allows attackers to manipulate SQL queries by injecting malicious input..."
}
Chat format example:
{
"messages": [
{
"role": "user",
"content": "Explain Cross Site Scripting."
},
{
"role": "assistant",
"content": "Cross Site Scripting (XSS) allows attackers to inject malicious JavaScript into web pages..."
}
]
}
Intended Use
This dataset is intended for:
- Supervised Fine-Tuning (SFT)
- LoRA Training
- QLoRA Training
- DPO
- ORPO
- Instruction Tuning
- Research
- Educational Purposes
Data Sources
The dataset is curated from:
- Public cybersecurity documentation
- Official security standards
- Open educational resources
- Public vulnerability documentation
- Original human-written instruction-response pairs
Quality Control
The dataset is manually reviewed for:
- Formatting consistency
- Duplicate removal
- Instruction clarity
- Grammar
- Response quality
- Safety
Limitations
- May not contain the latest vulnerabilities.
- Should not replace official vendor documentation.
- Responses may require updates as cybersecurity evolves.
License
Apache License 2.0
Citation
If you use this dataset in your research or project, please cite this repository.
Maintainer
Nitin Saini
GitHub: https://github.com/
Hugging Face: https://huggingface.co/Nitinsaini077