Million Song Dataset is a collection of audio features and metadata for a million contemporary popular music tracks.
The dataset contains real users - play counts from undisclosed partners, all songs already matched to the MSD. If you were looking for the right collaborative filtering dataset with audio features, this might be for you!
Feedback type: Implicit (play count)
Total dataset: 500 MB
No. of users: 1.1 million
No. of songs: 384k
No. of plays: 48 million
This dataset represents a snapshot of the Yahoo! Music community's preferences for various musical artists. The dataset contains over ten million ratings of musical artists given by Yahoo! Music users over the course of a one month period sometime prior to March 2004.
Users are represented as anonymous numbers so that no identifying information is revealed. The dataset may be used by researchers to validate recommender systems or collaborative filtering algorithms.
Feedback type: Explicit
Around March 2004
Total dataset: 423 MB
No. of artists: 97.8k
No. of ratings: 11.5 million
This dataset contains social networking, tagging, and music artist listening information
from a set of 2K users from Last.fm online music system.
Feedback type: Implicit (Listen counts)
Total dataset: 13.3 MB
No. of users: 1.9k
No. of artists: 17.6k
No. of listens: 92.8k