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Electronic-Music-Features---201802-BeatportTop100 - MaRDI portal

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Electronic-Music-Features---201802-BeatportTop100

From MaRDI portal
Dataset:6036785



OpenML43690MaRDI QIDQ6036785

OpenML dataset with id 43690

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102515/Electronic-Music-Features---201802-BeatportTop100.arff

Upload date: 24 March 2022



Dataset Characteristics

Number of features: 94 (numeric: 93, symbolic: 0 and in total binary: 0 )
Number of instances: 2,900
Number of instances with missing values: 0
Number of missing values: 0

Description

Context Electronic dance music (EDM) is a genre where thousands of new songs are released every week. The list of EDM subgenres considered is long, but it also evolves according to trends and musical tastes. With this in view, we have retrieved two sets of over 2,000 songs separated by more than a year. Songs belong to the top 100 list of an EDM website taxonomy of more than 20 subgenres that changed in the period considered. Content Each row is an electronic music song. The dataset contains 100 song for each genre among Beatport electronic music genres, they were the top (100) songs of their genres on November 2018. Columns are audio features extracted of a two random minutes sample of the file audio. These features have been extracted using pyAudioAnalysis (https://github.com/tyiannak/pyAudioAnalysis). Acknowledgements Special thanks to the people who made this possible. Javier Arroyo, Laura Prez-Molina y Jaime Snchez-Hernndez. Inspiration These datasets are used in this publication "Automatic subgenre classication in an electronic dance music taxonomy " where we test the effectiveness of automatic classification on these sets and delve into the results.






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