CAL10K (Computer Audition Lab 10000)
Introduced by Tingle et al. in Exploring automatic music annotation with “acoustically-objectiv” tags
The CAL10K dataset (introduced as Swat10k) contains 10,870 songs that are weakly-labelled using a tag vocabulary of 475 acoustic tags and 153 genre tags. The tags have all been harvested from Pandora’s website and result from song annotations performed by expert musicologists involved with the Music Genome Project.
Source: Exploring automatic music annotation with “acoustically-objectiv” tagsPapers
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