Real-time 2019 Portuguese Parliament Election Results Dataset
This provides a resource for researchers in political science or data science working on election prediction, but it is incremental as it focuses on a specific event without new methods.
The paper introduces a dataset tracking the 2019 Portuguese Parliament election results in 5-minute intervals over 4 hours and 25 minutes for 27 parties, designed for predictive modeling tasks like numerical forecasting.
This paper presents a data set describing the evolution of results in the Portuguese Parliamentary Elections of October 6$^{th}$ 2019. The data spans a time interval of 4 hours and 25 minutes, in intervals of 5 minutes, concerning the results of the 27 parties involved in the electoral event. The data set is tailored for predictive modelling tasks, mostly focused on numerical forecasting tasks. Regardless, it allows for other tasks such as ordinal regression or learn-to-rank.