About this Dataset

Spotify Tracks Dataset (Updated Every Week)

Content

This is a dataset of Spotify tracks over a range of 60,000. This dataset will help you find songs in 6 different language - English, Hindi, Tamil, Telugu, Malayalam and Korean. Each track has audio features associated with it. The data is in CSV format which is tabular and can be loaded quickly.

Usage

The dataset can be used for:

Building Recommendation Systems: Recommend tracks based on user preferences or listening patterns.
Audio Feature Analysis: Classify or cluster tracks using their acoustic features, such as danceability, energy, and valence.
Cultural Music Studies: Explore patterns and trends in music for academic or industry insights.

Column Description

track_id: Spotify ID for the track.
track_name: Name of the track.
artist_name: The names of artists who performed the track, separated by commas if there are multiple artists.
year: The release year of the track.
popularity: A value between 0 and 100 indicating how popular a track is based on plays and recency.
artwork_url: URL of the album or track's artwork.
album_name: The album in which the track appears.
acousticness: A confidence measure from 0.0 to 1.0 of whether the track is acoustic.
danceability: A measure of how suitable a track is for dancing (0.0 = least danceable, 1.0 = most danceable).
duration_ms: Track length in milliseconds.
energy: A perceptual measure from 0.0 to 1.0 of intensity and activity.
key: The musical key of the track, using standard pitch class notation (e.g., 0 = C, 1 = C♯/D♭).
liveness: A measure of the likelihood that the track was recorded live (higher values indicate live performances).
loudness: The overall loudness of the track in decibels (dB).
mode: Indicates the modality of the track (1 = major, 0 = minor).
speechiness: Measures the presence of spoken words in a track (closer to 1.0 indicates more speech-like content).
tempo: The estimated tempo of the track in beats per minute (BPM).
time_signature: The number of beats per measure, ranging from 3 to 7.
valence: A measure from 0.0 to 1.0 indicating the track's musical positiveness (higher values are happier).
track_url: The Spotify URL for the track.
language: The language of the track (English, Tamil, Hindi, Telugu, Malayalam, Korean).

Note

Data for unavailable values are marked as -1

Tables

Spotify Tracks

@kaggle.gauthamvijayaraj_spotify_tracks_dataset_updated_every_week.spotify_tracks

6.62 MB
62317 rows
22 columns


CREATE TABLE spotify_tracks (
  "track_id" VARCHAR,
  "track_name" VARCHAR,
  "artist_name" VARCHAR,
  "year" BIGINT,
  "popularity" BIGINT,
  "artwork_url" VARCHAR,
  "album_name" VARCHAR,
  "acousticness" DOUBLE,
  "danceability" DOUBLE,
  "duration_ms" DOUBLE,
  "energy" DOUBLE,
  "instrumentalness" DOUBLE,
  "key" DOUBLE,
  "liveness" DOUBLE,
  "loudness" DOUBLE,
  "mode" DOUBLE,
  "speechiness" DOUBLE,
  "tempo" DOUBLE,
  "time_signature" DOUBLE,
  "valence" DOUBLE,
  "track_url" VARCHAR,
  "language" VARCHAR
);