Million Song Dataset | scaling MIR research. 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 encourage research on algorithms that scale to commercial sizesTo provide a reference dataset for evaluating researchAs a shortcut alternative to creating a large dataset with APIs (e.g.
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 Million Song Dataset is also a cluster of complementary datasets contributed by the community: The Million Song Dataset started as a collaborative project between The Echo Nest and LabROSA.
How to get started To get a sense of the dataset, you can look at this description of one of the million songs. To start your own experiments, you can download the entire dataset (280 GB). We also have a set of suggested tasks, including snippets of code to get you started.
Taller tesis I. Daniel Cassany - Libros y obras del autor, biografía y bibliografía. Universidad Nacional del Nordeste. Tesis Electrónicas UACh. TDX Home. ECI 2012. Infovis. Many Eyes.