MUSDB18-HQ is the uncompressed version of the MUSDB18 dataset. It consists of a total of 150 full-track songs of different styles and includes both the stereo mixtures and the original sources, divided between a training subset and a test subset. Its purpose is to serve as a reference database for the design and the evaluation of source separation algorithms. The objective of such signal processing methods is to estimate one or more sources from a set of mixtures, e.g. for karaoke applications. It has been used as the official dataset in the professionally-produced music recordings task for SiSEC 2018, which is the international campaign for the evaluation of source separation algorithms. musdb18-hq contains two folders, a folder with a training set: “train”, composed of 100 songs, and a folder with a test set: “test”, composed of 50 songs. Supervised approaches should be trained on the training set and tested on both sets. All files from the musdb18-hq dataset are saved as uncompressed wav files. Within each track folder, the user finds mixture.wav drums.wav bass.wav, other.wav, vocals.wav All signals are stereophonic and encoded at 44.1kHz. If you use the MUSDB dataset for your research - Cite the MUSDB18 Dataset @misc{MUSDB18HQ, author = {Rafii, Zafar and Liutkus, Antoine and Fabian-Robert St{\"o}ter and Mimilakis, Stylianos Ioannis and Bittner, Rachel}, title = {{MUSDB18-HQ} - an uncompressed version of MUSDB18}, month = dec, year = 2019, doi = {10.5281/zenodo.3338373}, url = {https://doi.org/10.5281/zenodo.3338373} } If compare your results with SiSEC 2018 Participants - Cite the SiSEC 2018 LVA/ICA Paper @inproceedings{SiSEC18, author="St{\"o}ter, Fabian-Robert and Liutkus, Antoine and Ito, Nobutaka", title="The 2018 Signal Separation Evaluation Campaign", booktitle="Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Surrey, UK", year="2018", pages="293--305" }