violent-python

该数据集包含了1,372个独特的Python编程语言编写的攻击性软件代码片段及其对应的自然语言描述。这些代码片段涵盖了进攻安全领域的多个方面，包括渗透测试、法医分析、网络流量分析、开源情报（OSINT）和社会工程学。此外，数据集还包含了不同粒度的描述（包括单行代码、代码块和函数），并且是对之前数据集（如Shellcode_IA32和EVIL）的有力补充。该数据集的规模为1,372个独特样本，其任务是为人工智能代码生成器生成攻击性代码片段的自然语言描述。

This dataset contains 1,372 unique offensive software code snippets written in the Python programming language, along with their corresponding natural language descriptions. These code snippets cover multiple domains in offensive security, including penetration testing, forensic analysis, network traffic analysis, open-source intelligence (OSINT), and social engineering. Additionally, the dataset includes descriptions at various granularities, spanning single-line code, code blocks, and functions. Furthermore, it serves as a robust complement to prior datasets such as Shellcode_IA32 and EVIL. Boasting 1,372 unique samples in total, this dataset is designed for the task of generating natural language descriptions for offensive code snippets using AI code generators.