1,000 music samples are provided as 30-second audio clips sourced from SoundCloud. Each clip is labeled for emotional content based on musical characteristics like tempo and key. The dataset was created by LaurenGurgiolo and last updated on December 16, 2025.
Use Cases
- Train audio classification models based on labeled emotional content.
- Analyze correlations between musical features like tempo and perceived emotion.
- Benchmark emotion recognition algorithms on a standardized set of music clips.
Strengths
- Dataset contains 1,000 distinct audio samples.
- Each sample is a standardized 30-second clip.
- Labels are derived from musical characteristics, providing a structured basis for supervised learning.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect source bias inherent to SoundCloud content.
Provenance
- Source
- SoundCloud
- Collection Method
- Sourced from publicly available SoundCloud content.
- Freshness
- Last updated 2025-12-16 18:06:47; freshness should be verified.