Key facts
Contents & fields
The dataset contains MP3 audio files, JPG cover art, and a master CSV file (biblioteca_master.csv) with 32 columns of metadata. All metadata is keyed by Suno's UUID. Fields include:
- id——Suno-issued UUID, primary key
- title——Track title
- hoja_id_pipeline——Internal pipeline identifier
- major_model_version——Suno model family (e.g., v5.5)
- model_name——Specific model variant (e.g., chirp-fenix)
- status——Suno processing status
- duration——Track duration in seconds
- is_instrumental——Boolean for instrumental tracks
- tags——Free-form tag string at generation
- tax_radio_destino——Target radio/listener context label
- tax_suno_capability——Suno capability classification
- prompt——Exact text prompt used for generation
Research uses
This dataset is suitable for fine-grained audio classification, text-to-music conditioning experiments, music recommendation and similarity research, benchmarks for music tagging and auto-DJ systems, studies of AI music generator capabilities and failure modes, and training material for derivative music-generation models (subject to license terms).
Information comes from the source page. Please check that page for current details and terms.
Keywords
Why this is hard to get on your own
Obtain a high-quality, multi-genre AI-generated music dataset with detailed metadata for audio classification or text-to-music research.
