HackRep: A Large-Scale Dataset of GitHub Hackathon Projects
This provides a resource for software engineering researchers to study hackathons more broadly, though it is incremental as it builds on existing case studies by offering a dataset.
The authors tackled the lack of large-scale data on hackathons by introducing HackRep, a dataset of 100,356 GitHub repositories from hackathon projects, and demonstrated its utility through preliminary analyses of project continuation, team composition, and geography.
Hackathons are time-bound collaborative events that often target software creation. Although hackathons have been studied in the past, existing work focused on in-depth case studies limiting our understanding of hackathons as a software engineering activity. To complement the existing body of knowledge, we introduce HackRep, a dataset of 100,356 hackathon GitHub repositories. We illustrate the ways HackRep can benefit software engineering researchers by presenting a preliminary investigation of hackathon project continuation, hackathon team composition, and an estimation of hackathon geography. We further display the opportunities of using this dataset, for instance showing the possibility of estimating hackathon durations based on commit timestamps.