Spotify Tracks Dataset (Updated every week)

About the Dataset

This dataset contains detailed information about 60,000 Spotify tracks, spanning six languages: English, Hindi, Tamil, Telugu, Malayalam, and Korean. Designed for researchers, developers, and music enthusiasts, this dataset offers a rich collection of audio features to enable advanced analyses and applications. The data is provided in CSV format, making it quick and easy to load into various data analysis tools.

Key Use Cases

This dataset is ideal for:

1. Music Recommendation Systems: Build algorithms to recommend tracks based on user preferences, genres, or listening patterns.
2. Audio Feature Analysis: Classify or cluster tracks using acoustic features like energy, danceability, or valence.
3. Cultural and Linguistic Music Studies: Analyze trends in music from diverse languages for academic, industrial, or cultural insights.
4. Machine Learning Models: Train AI models for audio classification, clustering, or regression tasks using track features.

Features and Column Descriptions

Each track in the dataset includes the following attributes:

• track_id: Unique Spotify identifier for the track.
• track_name: The title of the track.
• artist_name: The names of performing artists, separated by commas for multiple contributors.
• year: The year the track was released.
• popularity: A score (0–100) representing how popular the track is based on recent plays.
• artwork_url: URL linking to the album or track’s artwork on Spotify.
• album_name: The name of the album the track belongs to.
• acousticness: A value (0.0–1.0) indicating the likelihood that the track is acoustic.
• danceability: A score (0.0–1.0) measuring how suitable the track is for dancing.
• duration_ms: The track’s duration in milliseconds.
• energy: A measure (0.0–1.0) of the track’s intensity and activity level.
• key: The musical key of the track, represented in standard pitch class notation (e.g., 0 = C, 1 = C♯/D♭).
• liveness: A measure (0.0–1.0) estimating the likelihood the track was recorded live.
• loudness: The overall loudness of the track, measured in decibels (dB).
• mode: Indicates whether the track is in a major (1) or minor (0) key.
• speechiness: A measure (0.0–1.0) of the track’s spoken-word content.
• tempo: The track’s tempo, measured in beats per minute (BPM).
• time_signature: The number of beats per measure, ranging from 3 to 7.
• valence: A score (0.0–1.0) representing the positivity or happiness of the track’s mood.
• track_url: Direct URL to the track on Spotify.
• language: The primary language of the track (English, Hindi, Tamil, Telugu, Malayalam, Korean).