Song Feature Dataset with 3.3 Million Tracks

Kaggle hosts a dataset of 3.3 million songs with corresponding musical feature data. The description states all song feature fields are filled out. The author, organization, and last update date are not specified.

Use Cases

• Predict song popularity based on its musical features like tempo, key, and energy.
• Cluster songs into genres or moods using feature vectors of acoustic attributes.
• Train a model to recommend similar songs by analyzing patterns in the feature space.
• Analyze correlations between different musical features across a large catalog.

Strengths

• Contains data for 3.3 million songs.
• Description confirms all song feature fields are populated, suggesting completeness for the included features.

Limitations

• The specific features, columns, and data schema are unknown.
• Sample size and representativeness of the music catalog are unclear.

Provenance

Source

Kaggle