SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation

Inside the SynthSOD-data folder, there is a folder for every one of the songs of the dataset and inside them, there is a folder called Tree with the signals synthesized for the Decca Tree (which provide a reasonable stereo mix with the original reverberation of the synthesizer) and a folder called Close Mic with the signals synthesized for the close mics of the instruments (which are the driest signals generated by the synthesizer and can be used as source signals if wanting to add custom reverberation). Inside these folders are the FLAC files of the instruments present in the mix, which should be at least two of the followings: Violin_1.flac, Violin_2.flac, Viola.flac, Cello.flac, Bass.flac, Flute.flac, Piccolo.flac, Clarinet.flac, Oboe.flac, coranglais.flac, Bassoon.flac, Horn.flac, Trumpet.flac, Trombone.flac, Tuba.flac, Harp.flac, Timpani.flac, and untunedpercussion.flac. The file SynthSOD_metadata_all.json contains information about the instruments present in the dataset and the activity time of every one of them and their combinations for the whole dataset and for every one of the songs as well as the ID of every song in the SOD. The files SynthSOD_metadata_train.json, SynthSOD_metadata_evaluation.json, and SynthSOD_metadata_test.json contain the same information but only for the songs in the official train, evaluation, and test partitions of the dataset. Note that the folder SynthSOD-data contains the songs for all the partitions without any splits, so the information about the partitions is only in the JSON files. You can find an example of a PyTorch dataloader for the dataset in the repository of the baseline model. The compressed file SynthSOD-sample.zip is just a subset of the full dataset with 10 pieces that can be downloaded to take a look/listen to the data before downloading the full dataset.