README.md

---
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:

```json
{
  "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:

```json
{
  "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