README.md

---
license: mit
tags:
- security
- cwe
- vulnerability
- code-analysis
- software-security
- dataset
- machine-learning
- llm-finetuning
---

# 🔐 Code Vulnerability Dataset (CWE-Enriched)

## 📌 Overview

This dataset is built from the **bstee615/diversevul** dataset and enhanced with structured vulnerability intelligence from the **MITRE Common Weakness Enumeration (CWE)** database.

It provides a rich, machine-readable representation of software vulnerabilities, mapping raw vulnerable code samples to standardized CWE classifications.

The dataset is designed for research and development in:
- Vulnerability detection models
- Secure code generation
- LLM fine-tuning for cybersecurity tasks
- Static analysis and code understanding systems

---

## 🧠 Dataset Enrichment Process

Each sample in the dataset has been augmented using the MITRE CWE API to include structured security intelligence such as:

- CWE identifier (e.g., CWE-787)
- Vulnerability type (e.g., Out-of-bounds Write)
- Human-readable description
- Severity / exploit likelihood
- Impact categories (e.g., code execution, crash)
- Applicable programming languages
- Security classification metadata

---

## 📊 Data Structure

Each row in the dataset contains:

### 🔹 Original Fields
- `func` → Source code snippet
- `cwe` → Original CWE labels from DiverseVul dataset

### 🔹 Enriched Field
- `cwe_details` → JSON object containing structured CWE metadata:

```json
{
  "cwe_id": "CWE-787",
  "vulnerability_type": "Out-of-bounds Write",
  "description": "The product writes data past the end, or before the beginning, of the intended buffer.",
  "severity": "High",
  "category": "Memory Corruption",
  "impact": [
    "Modify Memory",
    "Execute Unauthorized Code",
    "Crash (DoS)"
  ],
  "languages": ["C", "C++"],
  "example": "Example not extracted"
}