MLoops: A Dataset for Music Loops

Authors: Xingxing Yang
Primary area: datasets and benchmarks
Keywords: loop, dataset, music

Abstract:
We present MLoops, an open-source dataset comprising 11,144 music loops with corresponding midi files, which is extended from the ComMu Dataset. This collection exhibits several characteristics. It furnishes multiple annotations for each loop, encompassing beat per minute (BPM), musical key, instrumentation, midi transcriptions, and more. Consequently, MLoops enables a diverse array of music information retrieval and processing applications, including but not limited to key detection, BPM detection, and music transcription, as well as cutting-edge techniques such as conditional modeling and multi-task learning. In this paper, we conduct an in-depth analysis of the MLoops dataset. Furthermore, we introduce three baseline systems leveraging this data resource, each tailored for a specific task: key identification, and BPM detection. Importantly, the MLoops dataset is freely available for academic research purposes, fostering collaborative efforts and advancements within the field. \footnote{Data, code, and evaluations are available at https://drive.google.com/drive/folders/1vB1qYev8yCLBMCPXFYkJHhVOgIGdwSKr?usp=sharing.

Decision: reject

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