Spotify Track Analysis Dataset General Description This dataset provides a large scale, research oriented analytical representation of Spotify music data. It is centered on tracks as musical recordings ( track id ), while preserving explicit artist attribution as defined by Spotify’s native credit model. Each row corresponds to a track–artist association, identified by: a Spotify track identifier ( track id ) a credited artist name ( artist name ) A single track may appear on multiple rows when it is associated with multiple artists (collaborations, featurings, compilations, collective works). This duplication is structural and intentional. All musical characteristics, album metadata, and popularity metrics are strictly invariant for a given track id . No intra track variation exists between rows sharing the same track id . For size reduction and analytical relevance purposes, only tracks with strictly positive popularity ( track popularity 0 ) have been retained. Tracks with no measurable exposure (zero popularity) were excluded upstream. Granularity and Data Model The dataset strictly follows the Spotify attribution model and must be interpreted across two distinct levels. Concep…
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