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).
This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).
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.
