Million Song Dataset

doi:doi:10.57702/4gtshr3o

Million Song Dataset

Million Song Dataset is a collection of audio features and metadata for a million contemporary pop songs. Instead of storing any audio, the dataset consists of features derived from the audio, user-song profile data, and genres of songs. We extract L = 10k most popular songs from this dataset, as measured by the number of song-listening events; and m = 400k most active users, as measured by the number of song-listening events.

BibTex:

@dataset{Naoto_Ohsaka_and_Riku_Togashi_2024,
    abstract = {Million Song Dataset is a collection of audio features and metadata for a million contemporary pop songs. Instead of storing any audio, the dataset consists of features derived from the audio, user-song profile data, and genres of songs. We extract L = 10k most popular songs from this dataset, as measured by the number of song-listening events; and m = 400k most active users, as measured by the number of song-listening events.},
    author = {Naoto Ohsaka and Riku Togashi},
    doi = {10.57702/4gtshr3o},
    institution = {No Organization},
    keyword = {'Audio Features', 'Audio files', 'Collaborative Filtering', 'Genre classification', 'Large dataset', 'Million Song Dataset', 'Music', 'Music Information Retrieval', 'Music classification', 'Music recommendation', 'Song Metadata', 'Song Tracks', 'User Behavior', 'User Logs', 'audio', 'audio features', 'dataset', 'metadata', 'music', 'music information retrieval', 'music metadata', 'music recommendation', 'recommender systems', 'song features', 'user-item interactions'},
    month = {dec},
    publisher = {TIB},
    title = {Million Song Dataset},
    url = {https://service.tib.eu/ldmservice/dataset/million-song-dataset},
    year = {2024}
}