BotHawk: GitHub Bot Account Detection Dataset

The "BotHawk: GitHub Bot Account Detection Dataset" is a specialized resource developed for the research and development community focused on identifying and understanding bot accounts within the GitHub ecosystem. This comprehensive dataset offers an in-depth look into the behaviors, contributions, and patterns of bot accounts, distinguishing them from human user activities on GitHub.

Designed to enhance the accuracy and efficiency of bot detection algorithms, the BotHawk Dataset encompasses a variety of features, including commit history, issue participation, pull request activities, and other interaction metrics specific to GitHub. It provides an invaluable foundation for developing machine learning models capable of distinguishing between bot-generated and human-generated activities, contributing to more secure and trustworthy interactions within the GitHub platform.

This dataset not only serves as a tool for academic research in cybersecurity, machine learning, and software engineering but also offers practical applications for developers and platform administrators seeking to improve the health of their projects by filtering out bot-based noise and manipulation. The BotHawk dataset is instrumental in advancing our comprehension of bot dynamics within the GitHub ecosystem, supporting the broader objective of fostering a secure, transparent, and collaborative open-source community.