Note that we have removed duplicates, see this blog entry regarding the duplicates issue in the MSD.ġ TRVBGMW12903CBB920 (u'Deniece Williams', u'Let's Hear It For The Boy')Ġ.779581 TRUPEBD12903CCDB24 (u'Kenny Loggins', u'Danger Zone')Ġ.621877 TRCGAQU128F9364C33 (u'Starship', u'We Built This City')Ġ.599988 TRMKELO128F92FF72A (u'Michael Sembello', u'Maniac')Ġ.593485 TRFJBDW128F428AB32 (u'Starship', u'Nothing's Gonna Stop Us Now')Ġ.559087 TRHDJDB128F930527A (u'Survivor', u'Eye Of The Tiger')ower Of Love')Ġ.537466 TRKMBZN128F428E0C0 (u'Huey Lewis And The News', u'The Power Of Love')Ġ.488286 TRMVKSL128F14640E0 (u'Robert Palmer', u'Addicted To Love')Ġ.469828 TRCHXXE128F428547C (u'The Pointer Sisters', u'I'm So Excited')Ġ.467316 TRGVORX128F4291DF1 (u'Mr. The first number is a 'similarity measure'.

The graph lets you glance at the total (log) frequencies of the top 200K tags.īelow is the list of similar tracks for Kenny Loggins - Footloose (TRRQSYC128F92DF7C8). If you are familiar with the Last.fm API, it corresponds to the track methods 'getTopTags' and 'getSimilar'.īelow is a list of the top tags with their total frequencies in the dataset. The Last.fm dataset consists of two kinds of data at the song level: tags and similar songs.

584,897 tracks with at least one similar track.

All the data is associated with MSD tracks, which makes it easy to link it to other MSD resources: audio features, artist data, lyrics, etc.īefore you read the full description, you might want to know that the Last.fm dataset is big. The MSD team is proud to partner with Last.fm in order to bring you the largest research collection of song-level tags and precomputed song-level similarity. Welcome to the Last.fm dataset, the official song tag and song similarity dataset of the Million Song Dataset. We have the beginning of a fix, a list of song - track pairs that should not be trusted, get it here.

Last.fm data was matched using songs, so it is likely affected. WARNING: we found matching errors between songs and tracks, you can read about it in this blog post.

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