Multimodal Music Genre Dataset: GTZAN with Lyrics

A multimodal dataset combining audio and text data for music genre classification. It likely contains audio features from the GTZAN benchmark dataset paired with corresponding song lyrics. The dataset is published on Kaggle, but its specific creation date and author are unknown.

Use Cases

• Train a multimodal classifier for music genre recognition (inferred from domain, verify after download)
• Analyze the relationship between lyrical content and audio-based genre labels (inferred from domain, verify after download)
• Benchmark models for joint audio and text feature extraction (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for sharing datasets.
• Combines two distinct data modalities (audio and text) relevant to music analysis.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which limits suitability assessment.

Provenance

Source

kaggle