  The automatic generation of medleys, i.e., musical pieces formed by different
songs concatenated via smooth transitions, is not well studied in the current
literature. To facilitate research on this topic, we make available a dataset
called Medley2K that consists of 2,000 medleys and 7,712 labeled transitions.
Our dataset features a rich variety of song transitions across different music
genres. We provide a detailed description of this dataset and validate it by
training a state-of-the-art generative model in the task of generating
transitions between songs.
