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