About this Dataset

Taylor Swift - All Songs & Albums

Taylor Swift

There are three main datasets:

The first is taylor_album_songs, which includes lyrics and audio features from the Spotify API for all songs on Taylor’s official studio albums. Notably this excludes singles released separately from an album (e.g., Only the Young, Christmas Tree Farm, etc.), and non-Taylor-owned albums that have a Taylor-owned alternative (e.g., Fearless is excluded in favor of Fearless (Taylor’s Version)). We stan artists owning their own songs.
You can access Taylor’s entire discography with taylor_all_songs. This includes all of the songs in taylor_album_songs plus EPs, individual singles, and the original versions of albums that have been re-released as Taylor’s Version.
Finally, there is a small data set, taylor_albums, summarizing Taylor’s album release history.

Information on the audio features in the dataset from Spotify are included in their API documentation.

Data Dictionary

`taylor_album_songs.csv`

variable	class	description
album_name	character	Album name
ep	logical	Is it an EP
album_release	double	Album release date
track_number	integer	Track number
track_name	character	Track name
artist	character	Artists
featuring	character	Artists featured
bonus_track	logical	Is it a bonus track
promotional_release	double	Date of promotional release
single_release	double	Date of single release
track_release	double	Date of track release
danceability	double	Spotify danceability score. A value of 0.0 is least danceable and 1.0 is most danceable.
energy	double	Spotify energy score. Energy is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity.
key	integer	The key the track is in.
loudness	double	Spotify loudness score. The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track.
mode	integer	Mode indicates the modality (major or minor) of a track, the type of scale from which its melodic content is derived. Major is represented by 1 and minor is 0.
speechiness	double	Spotify speechiness score. Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value.
acousticness	double	Spotify acousticness score. A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.
instrumentalness	double	Spotify instrumentalness score. Predicts whether a track contains no vocals. The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.
liveness	double	Spotify liveness score. Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live.
valence	double	Spotify valence score. A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).
tempo	double	The overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration.
time_signature	integer	An estimated time signature. The time signature (meter) is a notational convention to specify how many beats are in each bar (or measure). The time signature ranges from 3 to 7 indicating time signatures of "3/4", to "7/4".
duration_ms	integer	The duration of the track in milliseconds.
explicit	logical	Does the track have explicit lyrics.
key_name	character	The key the track is in. Integers map to pitches using standard Pitch Class notation. E.g. 0 = C, 1 = Câ™¯/Dâ™, 2 = D, and so on. If no key was detected, the value is -1.
mode_name	character	Modality of the track.
key_mode	character	The key of the track.
lyrics	list	Track lyrics.

`taylor_all_songs.csv`

variable	class	description
album_name	character	Album name
ep	logical	Is it an EP
album_release	double	Album release date
track_number	integer	Track number
track_name	character	Track name
artist	character	Artists
featuring	character	Artists featured
bonus_track	logical	Is it a bonus track
promotional_release	double	Date of promotional release
single_release	double	Date of single release
track_release	double	Date of track release
danceability	double	Spotify danceability score. A value of 0.0 is least danceable and 1.0 is most danceable.
energy	double	Spotify energy score. Energy is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity.
key	integer	The key the track is in.
loudness	double	Spotify loudness score. The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track.
mode	integer	Mode indicates the modality (major or minor) of a track, the type of scale from which its melodic content is derived. Major is represented by 1 and minor is 0.
speechiness	double	Spotify speechiness score. Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value.
acousticness	double	Spotify acousticness score. A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.
instrumentalness	double	Spotify instrumentalness score. Predicts whether a track contains no vocals. The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.
liveness	double	Spotify liveness score. Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live.
valence	double	Spotify valence score. A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).
tempo	double	The overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration.
time_signature	integer	An estimated time signature. The time signature (meter) is a notational convention to specify how many beats are in each bar (or measure). The time signature ranges from 3 to 7 indicating time signatures of "3/4", to "7/4".
duration_ms	integer	The duration of the track in milliseconds.
explicit	logical	Does the track have explicit lyrics.
key_name	character	The key the track is in. Integers map to pitches using standard Pitch Class notation. E.g. 0 = C, 1 = Câ™¯/Dâ™, 2 = D, and so on. If no key was detected, the value is -1.
mode_name	character	Modality of the track.
key_mode	character	The key of the track.
lyrics	list	Track lyrics.

`taylor_albums.csv`

variable	class	description
album_name	character	Album name
ep	logical	Is it an EP
album_release	double	Album release date
metacritic_score	integer	Metacritic score
user_score	double	User score

Tables

Taylor Albums

@kaggle.joebeachcapital_taylor_swift_all_songs_and_albums.taylor_albums

4.38 KB
14 rows
5 columns


CREATE TABLE taylor_albums (
  "album_name" VARCHAR,
  "ep" BOOLEAN,
  "album_release" TIMESTAMP,
  "metacritic_score" DOUBLE,
  "user_score" DOUBLE
);

Taylor Album Songs

@kaggle.joebeachcapital_taylor_swift_all_songs_and_albums.taylor_album_songs

36.87 KB
194 rows
29 columns


CREATE TABLE taylor_album_songs (
  "album_name" VARCHAR,
  "ep" BOOLEAN,
  "album_release" TIMESTAMP,
  "track_number" BIGINT,
  "track_name" VARCHAR,
  "artist" VARCHAR,
  "featuring" VARCHAR,
  "bonus_track" BOOLEAN,
  "promotional_release" TIMESTAMP,
  "single_release" TIMESTAMP,
  "track_release" TIMESTAMP,
  "danceability" DOUBLE,
  "energy" DOUBLE,
  "key" DOUBLE,
  "loudness" DOUBLE,
  "mode" DOUBLE,
  "speechiness" DOUBLE,
  "acousticness" DOUBLE,
  "instrumentalness" DOUBLE,
  "liveness" DOUBLE,
  "valence" DOUBLE,
  "tempo" DOUBLE,
  "time_signature" DOUBLE,
  "duration_ms" DOUBLE,
  "explicit" VARCHAR,
  "key_name" VARCHAR,
  "mode_name" VARCHAR,
  "key_mode" VARCHAR,
  "lyrics" VARCHAR
);

Taylor All Songs

@kaggle.joebeachcapital_taylor_swift_all_songs_and_albums.taylor_all_songs

43.21 KB
274 rows
29 columns


CREATE TABLE taylor_all_songs (
  "album_name" VARCHAR,
  "ep" VARCHAR,
  "album_release" TIMESTAMP,
  "track_number" DOUBLE,
  "track_name" VARCHAR,
  "artist" VARCHAR,
  "featuring" VARCHAR,
  "bonus_track" VARCHAR,
  "promotional_release" TIMESTAMP,
  "single_release" TIMESTAMP,
  "track_release" TIMESTAMP,
  "danceability" DOUBLE,
  "energy" DOUBLE,
  "key" DOUBLE,
  "loudness" DOUBLE,
  "mode" DOUBLE,
  "speechiness" DOUBLE,
  "acousticness" DOUBLE,
  "instrumentalness" DOUBLE,
  "liveness" DOUBLE,
  "valence" DOUBLE,
  "tempo" DOUBLE,
  "time_signature" DOUBLE,
  "duration_ms" DOUBLE,
  "explicit" VARCHAR,
  "key_name" VARCHAR,
  "mode_name" VARCHAR,
  "key_mode" VARCHAR,
  "lyrics" VARCHAR
);