Datasets › MusicCrowd
MusicCrowd
A Crowdsourced Multi-Domain Music Dataset of Europeana Collections
The dataset is part of the paper entitled Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education presented at the 4th International Conference on Artificial Intelligence in Education Technology.
This audio dataset was derived from Europeana collections and includes 854 music tracks annotated across three basic musical domains: Genre, Emotion, and Instrument. It is a valuable resource for Music Information Retrieval (MIR) tasks, such as music audio tagging.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MusicCrowd
1 variant name, as the archive lists them.
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