Neural Math Rock: 4,000 Full-Length Tracks for Multimodal Emotion Analysis

4,000 distinct full-length tracks form this large-scale multimodal emotion classification dataset for Music Information Retrieval. It focuses on complex musical genres like Math Rock and Midwest Emo and was created by author 'anggars'. The dataset page was last updated on 2026-06-19.

Use Cases

• Train multimodal emotion classifiers based on audio features and metadata.
• Analyze emotional patterns specific to Math Rock and Midwest Emo genres.
• Develop computational models for Music Information Retrieval tasks based on validated track metadata.

Strengths

• Contains exactly 4,000 distinct full-length tracks.
• Specifically developed for emotion analysis in complex musical genres.
• Structured from a validated metadata registry.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update is dated 2026-06-19.

Provenance

Source

huggingface

Collection Method

Structured directly from a validated metadata registry.

Freshness

Last updated 2026-06-19 21:02:24.