  Large, diachronic datasets of political discourse are hard to come across,
especially for resource-lean languages such as Greek. In this paper, we
introduce a curated dataset of the Greek Parliament Proceedings that extends
chronologically from 1989 up to 2020. It consists of more than 1 million
speeches with extensive metadata, extracted from 5,355 parliamentary record
files. We explain how it was constructed and the challenges that we had to
overcome. The dataset can be used for both computational linguistics and
political analysis-ideally, combining the two. We present such an application,
showing (i) how the dataset can be used to study the change of word usage
through time, (ii) between significant historical events and political parties,
(iii) by evaluating and employing algorithms for detecting semantic shifts.
