EuroParlVote links European Parliament debate speeches to roll-call votes and MEP demographics (gender, age, country, political group) across up to 24 EU languages.
It supports two primary benchmark tasks:
Gender Classification – predict the MEP’s gender from a debate speech.
Vote Prediction – predict a FOR/AGAINST vote from the topic and speech (optionally with demographic context).
Curated by: Jinrui Yang, Xudong Han, Timothy Baldwin… See the full description on the dataset page:
https://huggingface.co/datasets/unimelb-nlp/EuroParlVote.
