--- 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")