pretty_name: NoteSep ASO training data
license: other
license_name: notesep-source-licenses
license_link: >-
https://huggingface.co/datasets/ben2002chou/notesep-aso-data/blob/main/SOURCES.md
tags:
- music
- audio
- source-separation
ASO training data
Source-complete mixtures and their isolated notes for training NoteSep's ASO. Each crop contains every acoustically active source, including release tails.
synthetic/index.sqlite: mixture membership, note timing and train/validation splits.synthetic/shards/: original float32 mixture and note banks, distributed as gzip files.synthetic/AUTHORITY.json: measured acoustic endpoint definitions.synthetic/proposals.sqlite: the score queries used to generate NoteGrab estimates.recorded/: recorded mixtures and aligned isolated-note targets.manifest.json: download inventory and automatic path relocation.example/: one complete crop as ordinary float32 WAVs and note labels.
Run notesep download-data to verify and restore the original files. Then use
training/prepare_aso.py to generate NoteGrab estimates locally before training.
The estimates are not included in this dataset. Training uses only the train
and validation selections; the original index also records its internal test
selection, which is not admitted to training or proposal generation.
Download size: about 71 GB. Restored audio and metadata occupy about 470 GB. Allow roughly 550 GB of free disk space during setup. The example contains 11 aligned note waveforms whose sum reconstructs its mixture.
Sources and licenses
See SOURCES.md for instrument, score and recording credits, transformations and source-specific terms. Original notices are included in licenses/ and source information in sources/. Noncommercial and share-alike terms apply to the corresponding source material.