Last.fm Music Tracks with Genre and Mood Tags

320,000 songs were scraped from the Last.fm API. The data includes genre tags, mood labels, and popularity information. The author, organization, and specific update date are not provided.

Use Cases

• Train music genre classification models based on the provided genre tags.
• Analyze correlations between mood labels and track popularity.
• Build content-based music recommendation systems using track tags and labels.

Strengths

• Contains 320,000 music track records.
• Includes multiple annotation layers: genre tags, mood labels, and popularity.

Limitations

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

Provenance

Source

Last.fm API

Collection Method

Scraped

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null