The purpose of the annotations is to help develop research in source separation methods for polyphonic audio music mixtures containing drums. We provide a dataset that contains annotations for 22 excerpts of songs taken from different multi-track audio datasets publicly available for research purposes. These multi-track excerpts range from several genres including Rock, Reggae, electronic, Indie and Metal. The excerpts have a duration of 10 seconds each in average. This annotations dataset is divided into four folders, each of which contains the annotations of a given audio source separation dataset. The audio datasets that have been annotated are: bss_oracle : http://bass-db.gforge.inria.fr/bss_oracle/ mass: https://www.web/mtg/audio-signal-separation sisec: http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings Please Acknowledge DREANSS in Academic Research Using this dataset When the DREANSS dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the DREANSS dataset cite the following publication: Ricard Marxer, Jordi Janer, "Study of Regularizations and Constraints in NMF-Based Drums Monaural Separation", Proc. of the 7th Int. Conference on Digital Audio Effects (DAFx’13). Maynooth, Ireland, 2013. We are interested in knowing if you find our datasets useful! If you use our dataset please email us at mtg-info@upf.edu and tell us about your research. https://www.upf.edu/web/mtg/dreanss