|
--- |
|
dataset_info: |
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features: |
|
- name: file_name |
|
dtype: int64 |
|
- name: vulnerable_line_numbers |
|
dtype: string |
|
- name: dataset_type |
|
dtype: string |
|
- name: commit_hash |
|
dtype: string |
|
- name: unique_id |
|
dtype: int64 |
|
- name: project |
|
dtype: string |
|
- name: target |
|
dtype: int64 |
|
- name: repo_url |
|
dtype: string |
|
- name: date |
|
dtype: string |
|
- name: code |
|
dtype: string |
|
- name: CVE |
|
dtype: string |
|
- name: CWE |
|
dtype: string |
|
- name: commit_link |
|
dtype: string |
|
- name: severity |
|
dtype: string |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 1440079604 |
|
num_examples: 128705 |
|
- name: test |
|
num_bytes: 1668696730 |
|
num_examples: 142214 |
|
download_size: 1076557341 |
|
dataset_size: 3108776334 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
--- |
|
### 🔎 Details |
|
This is a C++ vulnerability detection dataset following realistic settings. For details, please check our study [Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets (Partha _et al._, 2024)](https://arxiv.org/abs/2407.03093) |
|
|
|
The column names are self-describing. The most important two columns are, |
|
|
|
1. `target: int`: vulnerable to not. |
|
2. `code: str`: the code segment. |
|
|
|
|
|
|
|
## 📄 Citation Information |
|
|
|
```bibtex |
|
@article{Chakraborty2024, |
|
title = {Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets}, |
|
ISSN = {2326-3881}, |
|
url = {http://dx.doi.org/10.1109/TSE.2024.3423712}, |
|
DOI = {10.1109/tse.2024.3423712}, |
|
journal = {IEEE Transactions on Software Engineering}, |
|
publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, |
|
author = {Chakraborty, Partha and Arumugam, Krishna Kanth and Alfadel, Mahmoud and Nagappan, Meiyappan and McIntosh, Shane}, |
|
year = {2024}, |
|
pages = {1–15} |
|
} |
|
``` |
