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It is very important to access a rich music dataset that is useful in a widevariety of applications. Currently, available datasets are mostly focused onstoring vocal or instrumental recording data and ignoring the requirement ofits visual representation and retrieval. This paper attempts to build anXML-based public dataset, called SANGEET, that stores comprehensive informationof Hindustani Sangeet (North Indian Classical Music) compositions written byfamous musicologist Pt. Vishnu Narayan Bhatkhande. SANGEET preserves all therequired information of any given composition including metadata, structural,notational, rhythmic, and melodic information in a standardized way for easyand efficient storage and extraction of musical information. The dataset isintended to provide the ground truth information for music information researchtasks, thereby supporting several data-driven analysis from a machine learningperspective. We present the usefulness of the dataset by demonstrating itsapplication on music information retrieval using XQuery, visualization throughOmenad rendering system. Finally, we propose approaches to transform thedataset for performing statistical and machine learning tasks for a betterunderstanding of Hindustani Sangeet. The dataset can be found athttps://github.com/cmisra/Sangeet.

SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet