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Description
A human-curated, multi-genre audio dataset generated with Suno V5.5 (chirp-fenix), covering 100+ sub-sub-genres across electronic, hip-hop, Latin, jazz, world, rock, ambient, pop, reggae, and classical music. Each track includes full audio (MP3), cover art, the original generation prompt, and a 32-column metadata schema. The dataset was created by author Kukedlc and last updated on 2026-05 25.
Use Cases
Training or benchmarking AI music generation models based on the original generation prompts.
Conducting music genre classification research based on the 100+ sub-sub-genres covered.
Analyzing the relationship between text prompts and generated audio features for music-ML tasks.
Studying multimodal AI outputs using the combined audio, cover art, and metadata for each track.
Strengths
Human-curated collection covering 100+ music sub-sub-genres.
Each track includes audio, cover art, prompt, and a 32-column metadata schema.
Generated with a specific AI model version (Suno V5.5 chirp-fenix).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
huggingface
Collection Method
AI-generated music using Suno V5.5, human-curated.
Time Range
null
Freshness
Last updated 2026-05-25 01:56:46; freshness should be verified.
Geography
null
License is unknown; check the dataset page for terms before use.