A collection of 28 datasets containing audio features and metadata for a million contemporary popular music tracks.
The collection represents a collaboration between LabROSA and The Echo Nest. More details, background, and instructions on how to use the datasets can be found at LabROSA’s site. The goal of sharing this data on Infochimps is to provide a large dataset for research and to encourage large-scale algorithms surrounding the data.
There is one dataset for each letter of the alphabet (A-Z) containing data for all songs that start with that letter, one dataset of additional files, and a small sample dataset.
Each of the datasets for each letter consists of song files in the HDF5 format.
Most of the data is licensed the same way as Echo Nest’s API. The code is under GNU public license.
Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
Every genre of American music is represented: rock; jazz; country; R&B; blues; new age; Broadway and Hollywood; bluegrass; folk; children's; comedy; Christmas, and more. No other collection in the world – publicly or privately held – even comes close.
ccMixter is a community music site featuring remixes licensed under Creative Commons where you can listen to, sample, mash-up, or interact with music in whatever way you want.
M. Jackson, S. Singh, J. Beekhuyzen, and J. Waycott. DRM '05: Proceedings of the 5th ACM workshop on Digital rights management, page 8--16. New York, NY, USA, ACM Press, (2005)