---
license: apache-2.0
task_categories:
- text-generation
- text2text-generation
language:
- en
- code
tags:
- cybersecurity
- vulnerability-detection
- cve
- code-audit
- code-repair
size_categories:
- 1M<n<10M
---

# FineSec-1M Master Security Dataset

**FineSec-1M** is a high-precision, 1.11 GB cybersecurity dataset containing **1,000,000 training examples** (500,000 vulnerable code snippets + 500,000 safe control examples) designed for fine-tuning state-of-the-art security LLMs.

## Dataset Structure

1. **Server-Side Request Forgery (SSRF - CWE-918)**: 167,054 examples
2. **Unquoted Search Paths (CWE-428)**: 166,525 examples
3. **Insecure Randomness (CWE-330)**: 166,421 examples
4. **Safe Control Code Suite (N/A)**: 500,000 examples

## Class & Language Balance
- **Class Balance**: Exactly 50.0% Vulnerable | 50.0% Safe Controls (Guarantees zero false positives).
- **Languages**: Python (66.7%) & C/C++ (33.3%).

## Usage with Hugging Face Datasets

```python
from datasets import load_dataset

dataset = load_dataset('elsiddik/zz', split='train')
print(f'Total records: {len(dataset)}')
```