Million Songs Taste Profile Subset

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)

Dataset Link

http://millionsongdataset.com/tasteprofile/ 

Date Range

NA

Data Size

Total dataset: 500 MB

Basic Statistics

No. of users: 1.1 million

No. of songs: 384k

No. of plays: 48 million 

Yahoo! Music User Ratings

Description

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

Rating Scale: 

Dataset Link

https://webscope.sandbox.yahoo.com/catalog.php?datatype=r 

Date Range

Around March 2004

Data Size

Total dataset: 423 MB

Basic Statistics

No. of artists: 97.8k 

No. of ratings: 11.5 million

Last.FM Dataset

Description

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)

Dataset Link:

https://grouplens.org/datasets/hetrec-2011/ 

Date Range

NA

Data Size

Total dataset: 13.3 MB

Basic Statistics

No. of users: 1.9k 

No. of artists: 17.6k

No. of listens: 92.8k


See instant AI recommendation results with caboom
Start with your data or a sample for instant results right away.
Request Access