dataset_types.md

Dataset types for training

• Type 1 (MUSDB): different folders. Each folder contains all needed stems in format < stem name >.wav. The same as in MUSDBHQ18 dataset. In latest code releases it's possible to use flac instead of wav.

Example:

--- Song 1:
------ vocals.wav  
------ bass.wav 
------ drums.wav
------ other.wav
--- Song 2:
------ vocals.wav  
------ bass.wav 
------ drums.wav
------ other.wav
--- Song 3:
...........

• Type 2 (Stems): each folder is "stem name". Folder contains wav files which consists only of required stem.

--- vocals:
------ vocals_1.wav
------ vocals_2.wav
------ vocals_3.wav
------ vocals_4.wav
------ ...
--- bass:
------ bass_1.wav
------ bass_2.wav
------ bass_3.wav
------ bass_4.wav
------ ...
...........

• Type 3 (CSV file):

You can provide CSV-file (or list of CSV-files) with following structure:

instrum,path
vocals,/path/to/dataset/vocals_1.wav
vocals,/path/to/dataset2/vocals_v2.wav
vocals,/path/to/dataset3/vocals_some.wav
...
drums,/path/to/dataset/drums_good.wav
...

• Type 4 (MUSDB Aligned):

The same as Type 1, but during training all instruments will be from the same position of song.

Dataset for validation

• The validation dataset must be the same structure as type 1 datasets (regardless of what type of dataset you're using for training), but also each folder must include mixture.wav for each song. mixture.wav - is the sum of all stems for song.

Example:

--- Song 1:
------ vocals.wav  
------ bass.wav 
------ drums.wav
------ other.wav
------ mixture.wav
--- Song 2:
------ vocals.wav  
------ bass.wav 
------ drums.wav
------ other.wav
------ mixture.wav
--- Song 3:
...........