Cybersecurity-related Questions Dataset

该数据集包含了115个与网络安全相关的问题，这些问题源自行业面试题、学术练习以及实际问题解决任务。该数据集旨在评估CyberMentor框架的有效性。它覆盖了多种问题类型，确保对理论知识和技术技能进行全面的评估，并在不同类别中突显框架的表现。规模上，这115个问题跨越了三个领域：知识基础、密码学和编程。任务则是评估生成式大型语言模型在网络安全教育中的应用效果。

This dataset comprises 115 cybersecurity-related questions sourced from industry interview questions, academic exercises, and real-world problem-solving tasks. It is designed to evaluate the effectiveness of the CyberMentor framework. The dataset covers diverse question types to ensure comprehensive assessment of both theoretical knowledge and technical skills, while highlighting the framework's performance across different categories. These 115 questions span three distinct domains: foundational cybersecurity knowledge, cryptography, and programming. The core task of this dataset is to assess the application efficacy of generative large language models in cybersecurity education.