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The original data was contributed by The Echo Nest, as part of an NSF-sponsored GOALI collaboration. The Million Song Dataset was created under a grant from the National Science Foundation, project IIS-0713334. All the information about these four items (track, song, release. Each file is for one track which corresponds to one song, one release and one artist. This encompasses both metadata and audio analysis features. In Proceedings of the 12th International Societyįor Music Information Retrieval Conference (ISMIR 2011), 2011. Principally, the dataset consists of almost all the information available through The Echo Nest API for one million popular tracks. Please cite the following paper : Thierry Bertin-Mahieux, Daniel P.W. You can also try browsing and posting on our forum (registration required).
#What is the million song dataset how to#
Please contact us if you have any questions about the dataset and how to use it.
#What is the million song dataset code#
We also have a set of suggested tasks, including snippets of code to get you started. While waiting for the download, take a look at the FAQ, which includes a list of all the fields in the database. We also provide a subset of 10,000 songs (1%, 1.8 GB compressed) for a quick taste. To start your own experiments, you can download the entire dataset (280 GB). To get a sense of the dataset, you can look at this description of one of the million songs. The Million Song Dataset started as a collaborative project between The Echo Nest and LabROSA. Last.fm dataset -> song-level tags and similarity.The Million Song Dataset is also a cluster of complementary datasets contributed by the community: Note, however, that sample audio can be fetched from services like 7digital, using code we provide. The dataset does not include any audio, only the derived features. The core of the dataset is the feature analysis and metadata for one million songs, provided by The Echo Nest. To help new researchers get started in the MIR field.
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