A collection of Spotify tracks across multiple genres paired with their specific audio features. The dataset is updated on a weekly basis to reflect current music trends and library additions.
Use Cases
- Build a genre classification model using audio features like acousticness and instrumentalness
- Analyze musical trends over time by tracking changes in valence and energy across weekly updates
- Develop a recommendation engine based on track similarity using the danceability and liveness columns
Strengths
- Includes standard Spotify audio features such as danceability, energy, and tempo
- Categorizes tracks across multiple musical genres
- Updated weekly to incorporate new track data and metadata