| dataset_info: | |
| dataset_name: LineVul Dataset Splits | |
| description: | | |
| This dataset contains splits (train, validation, test) of the LineVul dataset, originally designed for transformer-based line-level vulnerability prediction in C/C++ code. It includes processed functions, vulnerability labels, and fixed versions of vulnerable functions. | |
| version: 1.0.0 | |
| license: MIT | |
| splits: | |
| - name: train | |
| description: Training split of the LineVul dataset. | |
| - name: validation | |
| description: Validation split of the LineVul dataset. | |
| - name: test | |
| description: Test split of the LineVul dataset. | |
| features: | |
| - name: processed_func | |
| dtype: string | |
| description: The original function written in C/C++. | |
| - name: target | |
| dtype: int | |
| description: Function-level label (1 for vulnerable, 0 for non-vulnerable). | |
| - name: vul_func_with_fix | |
| dtype: string | |
| description: The fixed function with added/deleted lines labeled. | |
| # LineVul Dataset Splits | |
| This dataset provides the train, validation, and test splits of the LineVul dataset, originally introduced in the paper "LineVul: A Transformer-based Line-Level Vulnerability Prediction" by Michael Fu and Chakkrit Tantithamthavorn. The dataset is designed for predicting software vulnerabilities at the line level in C/C++ code using transformer-based models. It was sourced from the LineVul replication package available at [https://github.com/awsm-research/LineVul](https://github.com/awsm-research/LineVul). | |
| ## Dataset Description | |
| The LineVul dataset consists of C/C++ functions with associated vulnerability labels and fixed versions. Each split (train, validation, test) contains 39 columns, but the key columns used for vulnerability prediction are: | |
| - **processed_func** (string): The original function written in C/C++. | |
| - **target** (int): A binary label indicating whether the function is vulnerable (1) or not (0). | |
| - **vul_func_with_fix** (string): The fixed version of the function, with added and deleted lines labeled. | |
| The dataset is intended for training and evaluating models that predict vulnerabilities in software code, particularly at the line level. | |
| ## Citation | |
| The original dataset and methodology are detailed in the following paper: | |
| ```bibtex | |
| @inproceedings{fu2022linevul, | |
| title={LineVul: A Transformer-based Line-Level Vulnerability Prediction}, | |
| author={Fu, Michael and Tantithamthavorn, Chakkrit}, | |
| booktitle={2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR)}, | |
| year={2022}, | |
| organization={IEEE} | |
| } | |
| ``` | |
| Please cite this paper if you use this dataset in your research. | |
| ## License | |
| The dataset is released under the [MIT License](https://opensource.org/licenses/MIT), consistent with the original LineVul replication package. | |