HackRep: A Large-Scale Dataset of GitHub Hackathon Projects

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Halmans, Sjoerd, Paganini, Lavinia, Serebrenik, Alexander, Nolte, Alexander
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911557717327872
author Halmans, Sjoerd
Paganini, Lavinia
Serebrenik, Alexander
Nolte, Alexander
author_facet Halmans, Sjoerd
Paganini, Lavinia
Serebrenik, Alexander
Nolte, Alexander
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_29672
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle HackRep: A Large-Scale Dataset of GitHub Hackathon Projects
Halmans, Sjoerd
Paganini, Lavinia
Serebrenik, Alexander
Nolte, Alexander
Software Engineering
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.
title HackRep: A Large-Scale Dataset of GitHub Hackathon Projects
topic Software Engineering
url https://arxiv.org/abs/2603.29672