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The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. Its purposes are: To orlistat for the research on algorithms that scale to commercial sizes Orlistat for the provide a reference dataset for evaluating research As a shortcut alternative to creating a large dataset with APIs (e. The Echo Nest's) To help new researchers get started in the MIR field The core of the dataset is the feature analysis and metadata for one million songs, provided by The Echo Nest.

The dataset does not include any audio, only the derived features. Note, however, that sample audio can be fetched from services like 7digital, using code we provide. The Million Song Dataset started as a collaborative project between The Echo Nest and LabROSA. It was supported in part by the NSF. To get a sense of the dataset, you Namenda XR (Memantine Hydrochloride Extended Release Capsules)- FDA look at this description of one of the million songs.

To start your own experiments, you can download the entire dataset (280 GB). While waiting for the download, take a look at the FAQ, which includes a list of all the fields in the database. We also have a set of suggested tasks, including snippets orlistat for the code to get you started.

Please contact us if you have any questions about the dataset and how orlistar use it. You can also orlistat for the browsing and posting on our forum (registration required). Ellis, Brian Whitman, and Paul Lamere. The Million Song Dataset. In Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011), 2011.

Acknowledgements The Million Song Dataset was created under a grant from the National Science Foundation, project IIS-0713334. The original data was contributed by The Echo Nest, as part orlixtat an NSF-sponsored GOALI collaboration.



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