Multilaps Competitions (00049)
This dataset contains elections generated from multi-lap sports competitions.
The underlying mylaps data contains the completion time of athletes in each lap of a multi-lap competition (specifically, speed skating and cycling competitions) crawled from results.sporthive.com. For each race, we created an election in which the athletes are the candidates and each vote corresponds to one lap and ranks the athletes by their completion time.
Each patch contains the raw election and a post-processed version where some candidates and voters are deleted to make the election complete.
This dataset is part of a larger study by Boehmer and Schaar (see this page for a more detailed description of the dataset, the post-processing, and pointers to similar datasets). If you have any questions, please contact: niclas.boehmer@tu-berlin.de.
Required citations: Niclas Boehmer and Nathan Schaar. Collecting, Classifying, Analyzing, and Using Real-World Elections. Arxiv.org/abs/2204.03589, 2022 (Bibtex).