Real-time 2019 Portuguese Parliament Election Results Dataset

TL;DR

This paper introduces a detailed dataset capturing the evolution of Portuguese parliamentary election results over 4 hours and 25 minutes, designed for predictive modeling and other analytical tasks.

Contribution

The paper provides a comprehensive, time-resolved dataset of election results, enabling advanced modeling and analysis of electoral dynamics.

Findings

Dataset covers 27 parties over 4 hours and 25 minutes.

Data is suitable for numerical forecasting, ordinal regression, and learn-to-rank.

Facilitates research in election prediction and analysis.

Abstract

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.