Readme updated
Browse files
README.md
CHANGED
@@ -48,3 +48,24 @@ configs:
|
|
48 |
- split: test
|
49 |
path: data/test-*
|
50 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
- split: test
|
49 |
path: data/test-*
|
50 |
---
|
51 |
+
### 🔎 Details
|
52 |
+
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/X.YZ)
|
53 |
+
|
54 |
+
The column names are self-describing. The most important two columns are,
|
55 |
+
|
56 |
+
1. `target: int`: vulnerable to not.
|
57 |
+
2. `code: str`: the code segment.
|
58 |
+
|
59 |
+
|
60 |
+
|
61 |
+
## 📄 Citation Information
|
62 |
+
|
63 |
+
```bibtex
|
64 |
+
@article{partha2024tse,
|
65 |
+
Author = {Partha Chakraborty and Krishna Kanth Arumugam and Mahmoud Alfadel and Meiyappan Nagappan and Shane McIntosh},
|
66 |
+
Title = {Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets},
|
67 |
+
Year = {2024},
|
68 |
+
Journal = {IEEE Transactions on Software Engineering},
|
69 |
+
Pages = {To appear}
|
70 |
+
}
|
71 |
+
```
|