114000 Spotify Songs

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Spotify Tracks Dataset Description

This dataset contains information on Spotify tracks spanning 125 different genres. Each track is described by various audio features and metadata. The dataset can be utilized for:

• Building recommendation systems based on user preferences or inputs.
• Classification tasks based on audio features and genre categorization.

Columns Description:

• track_id: The unique Spotify ID for each track.
• artists: Names of the artists who performed the track, separated by ';'.
• album_name: The name of the album in which the track appears.
• track_name: The title of the track.
• popularity: A value between 0 and 100, indicating the track's popularity based on recent plays.
• duration_ms: The length of the track in milliseconds.
• explicit: Boolean indicating whether the track contains explicit content.
• danceability: Describes how suitable a track is for dancing (0.0 = least danceable, 1.0 = most danceable).
• energy: Represents the intensity and activity of a track (0.0 = low energy, 1.0 = high energy).
• key: The musical key of the track mapped using standard Pitch Class notation.
• loudness: Overall loudness of the track in decibels (dB).
• mode: Indicates the modality (major or minor) of the track.
• speechiness: Detects the presence of spoken words in the track.
• acousticness: Confidence measure of whether the track is acoustic (0.0 = not acoustic, 1.0 = highly acoustic).
• instrumentalness: Predicts whether a track contains vocals (0.0 = contains vocals, 1.0 = instrumental).
• liveness: Detects the presence of an audience in the recording (0.0 = studio recording, 1.0 = live performance).
• valence: Measures the musical positiveness conveyed by a track (0.0 = negative, 1.0 = positive).
• tempo: Estimated tempo of the track in beats per minute (BPM).
• time_signature: Estimated time signature of the track (3 to 7).

Each track is associated with a specific genre labeled under track_genre.

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