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---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 860564
num_examples: 2601
download_size: 347041
dataset_size: 860564
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-classification
language:
- en
tags:
- security
- nvd
- vulnerability
- cwe
pretty_name: Vulnerability Descriptions & CWE Mappings
size_categories:
- 1K<n<10K
license: mit
---
# Vulnerability Descriptions & CWE Mappings
The "VulnDesc_CWE_Mapping" dataset is a resource for cybersecurity professionals, researchers, and developers focused on software vulnerabilities and their classifications. This dataset provides a mapping between detailed vulnerability descriptions and their corresponding Common Weakness Enumeration (CWE) categories.
## Dataset Details
### Key Features:
- Vulnerability Descriptions: Detailed textual descriptions of various software vulnerabilities, including specific examples and attack scenarios.
- CWE Mappings: Each vulnerability description is paired with its relevant CWE category, providing a standardized classification.
- Diverse Vulnerability Types: Covers a wide range of vulnerability types, including buffer overflows, cross-site scripting (XSS), SQL injection, and more.
- Real-world Examples: Includes references to actual software products and versions affected by these vulnerabilities.
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **NVD:** https://www.cve.org/Downloads
- **Demo:** https://dunateo.github.io/
## Uses
### Potential Applications:
- Training machine learning models for automated vulnerability classification
- Enhancing vulnerability management systems
- Educational resource for cybersecurity students and professionals
- Assisting in vulnerability assessment and penetration testing processes
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
```Python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Dunateo/VulnDesc_CWE_Mapping")
# Print basic information about the dataset
print(f"Number of rows: {len(dataset['train'])}")
```
## Dataset Structure
- Format: CSV file with semicolon (;) as the delimiter
- Columns:
- text: Detailed description of the vulnerability
- label: Corresponding CWE category |