Datasets:
File size: 2,182 Bytes
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---
arxiv: 1801.01681
dataset_info:
features:
- name: functionSource
dtype: string
- name: fName
dtype: string
- name: oriFile
dtype: string
- name: startEndLine
dtype: string
- name: label
dtype: int64
- name: vulLine
dtype: int64
- name: cwe
dtype: string
splits:
- name: train
num_bytes: 114905147
num_examples: 128118
- name: validation
num_bytes: 14289221
num_examples: 16015
- name: test
num_bytes: 14618528
num_examples: 16015
download_size: 52698659
dataset_size: 143812896
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
task_categories:
- text-classification
tags:
- code
---
This is an unofficial HuggingFace version of "[VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
](https://arxiv.org/abs/1801.01681)" dataset.
***
Database of "VulDeePecker: A Deep Learning-Based System for Vulnerability Detection" (NDSS'18)
***
Code Gadget Database (CGD) focuses on two types of vulnerabilities in C/C++ programs, buffer error vulnerability (CWE-119) and resource management error vulnerability (CWE-399). Each code gadget is composed of a number of program statements (i.e., lines of code), which are related to each other according to the data flow associated to the arguments of some library/API function calls.
Based on the National Vulnerability Database (NVD) and the NIST Software Assurance Reference Dataset (SARD) project, we collect 520 open source software program files with corresponding diff files and 8,122 test cases for the buffer error vulnerability, and 320 open source software program files with corresponding diff files and 1,729 test cases for the resource management error vulnerability.
In total, the CGD database contains 61,638 code gadgets, including 17,725 code gadgets that are vulnerable and 43,913 code gadgets that are not vulnerable. Among the 17,725 code gadgets that vulnerable, 10,440 corresponds to buffer error vulnerabilities and the rest 7,285 corresponds to resource management error vulnerabilities. |