Spotify Tracks Database with 232,000 Songs and Audio Features

Spotify Tracks DB is a music database containing 232,000 tracks. The description indicates that key, mode, and time signature audio features have been cleaned. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown.

Use Cases

• Train music genre classification models based on cleaned audio features like key and mode.
• Analyze the distribution of musical time signatures across a large collection of tracks.
• Build content-based music recommendation systems using the provided audio attributes.
• Conduct statistical analysis on the relationship between different musical features in popular music.

Strengths

• Contains 232,000 music tracks, providing a substantial sample size for analysis.
• Specific audio features, including key, mode, and time signature, are noted as having been cleaned.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle