|
--- |
|
dataset_info: |
|
features: |
|
- name: project |
|
dtype: string |
|
- name: commit_id |
|
dtype: string |
|
- name: CVE ID |
|
dtype: string |
|
- name: CWE ID |
|
dtype: string |
|
- name: func |
|
dtype: string |
|
- name: vul |
|
dtype: int8 |
|
splits: |
|
- name: train |
|
num_bytes: 299777443 |
|
num_examples: 239822 |
|
- name: test |
|
num_bytes: 63350463 |
|
num_examples: 51390 |
|
- name: validation |
|
num_bytes: 63678823 |
|
num_examples: 51392 |
|
download_size: 190857204 |
|
dataset_size: 426806729 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
- split: validation |
|
path: data/validation-* |
|
license: mit |
|
task_categories: |
|
- text-classification |
|
- feature-extraction |
|
tags: |
|
- Code |
|
- Vulnerability |
|
--- |
|
|
|
# Merged BigVul and PrimeVul Dataset |
|
|
|
**Dataset ID**: `mahdin70/merged_bigvul_primevul` |
|
|
|
This dataset is a merged and preprocessed combination of the **BigVul** (`bstee615/bigvul`) and **PrimeVul** (`colin/PrimeVul`, "default" configuration) datasets, designed for vulnerability analysis and machine learning tasks. The preprocessing ensures consistency in column names, data types, and formats, making it suitable for fine-tuning models. |
|
|
|
|
|
## Dataset Overview |
|
|
|
The dataset integrates vulnerability data from two sources: |
|
- **BigVul**: A dataset of real-world vulnerabilities from open-source C/C++ projects. |
|
- **Paper**: (https://doi.org/10.1145/3379597.3387501) |
|
- **Repository**: (https://github.com/ZeoVan/MSR_20_Code_vulnerability_CSV_Dataset) |
|
- **PrimeVul**: A vulnerability dataset with additional project-specific details. |
|
- **Paper**: (https://doi.org/10.48550/arXiv.2403.18624) |
|
- **Repository**:(https://github.com/DLVulDet/PrimeVul) |
|
|
|
The merged dataset retains key information about projects, commits, functions, and vulnerabilities, standardized for consistency. |
|
|
|
### Columns |
|
The dataset contains the following columns: |
|
- **`project`**: String - The name of the project (e.g., "qemu", "linux-2.6"). |
|
- **`commit_id`**: String - Unique identifier of the commit associated with the function. |
|
- **`func`**: String - The source code of the function before fixing (from `func_before` in BigVul). |
|
- **`vul`**: Int8 - Vulnerability label (1 = vulnerable, 0 = not vulnerable). |
|
- **`CVE ID`**: String - Common Vulnerabilities and Exposures identifier (e.g., `CVE-2007-1320`), or `NOT_APPLICABLE` if `vul = 0`. |
|
- **`CWE ID`**: String - Common Weakness Enumeration identifier (e.g., `CWE-20`), or `NOT_APPLICABLE` if `vul = 0`. |
|
|
|
### Splits |
|
- **Train**: Combined training data from BigVul and PrimeVul. |
|
- **Test**: Combined testing data from BigVul and PrimeVul. |
|
- **Validation**: Combined validation data from BigVul and PrimeVul. |
|
|
|
|
|
## Preprocessing Steps |
|
|
|
The dataset was preprocessed to ensure consistency and quality: |
|
|
|
### BigVul Preprocessing |
|
- **Source Columns**: |
|
- `project`, `commit_id`, `CVE ID`, `CWE ID`, `func_before`, `vul`. |
|
- **Transformations**: |
|
- Renamed `func_before` to `func`. |
|
- Kept `CWE ID` in its original format (`CWE-XXX`). |
|
- Converted `vul` to `int8`. |
|
|
|
### PrimeVul Preprocessing |
|
- **Source Columns**: |
|
- `project`, `commit_id`, `cve`, `cwe`, `func`, `target`. |
|
- **Transformations**: |
|
- Renamed `cve` to `CVE ID`, `cwe` to `CWE ID`, `target` to `vul`. |
|
- Standardized `CWE ID` by removing brackets from list format (e.g., `["CWE-XXX"]` → `CWE-XXX`), taking the first element if multiple CWEs exist. |
|
- Converted `vul` from `int64` to `int8`. |
|
|
|
### Merging and Final Preprocessing |
|
- **Merging**: Concatenated preprocessed BigVul and PrimeVul data for each split (`train`, `test`, `validation`). |
|
- **Final Steps**: |
|
- Removed rows with any null values. |
|
- Removed duplicates based on the `func` column. |
|
- For rows where `vul = 0`, replaced `CVE ID` and `CWE ID` with `"NOT_APPLICABLE`. |
|
|
|
|
|
## Dataset Statistics |
|
|
|
Below are the analysis results for the final merged dataset: |
|
|
|
### Train Split |
|
- **Number of rows**: 239,822 |
|
- **Unique CWE IDs (excluding `NOT_APPLICABLE`)**: 127 |
|
- **Unique commit IDs**: 7,559 |
|
- **Vulnerable functions (`vul = 1`)**: 9,037 |
|
|
|
### Test Split |
|
- **Number of rows**: 51,390 |
|
- **Unique CWE IDs (excluding `NOT_APPLICABLE`)**: 87 |
|
- **Unique commit IDs**: 6,032 |
|
- **Vulnerable functions (`vul = 1`)**: 1,911 |
|
|
|
|
|
### Validation Split |
|
- **Number of rows**: 51,392 |
|
- **Unique CWE IDs (excluding `NOT_APPLICABLE`)**: 91 |
|
- **Unique commit IDs**: 6,059 |
|
- **Vulnerable functions (`vul = 1`)**: 1,933 |
|
|
|
|
|
## Usage |
|
|
|
### Loading the Dataset |
|
```python |
|
from datasets import load_dataset |
|
|
|
dataset = load_dataset("mahdin70/merged_bigvul_primevul") |