TITLE: ASMD: an automatic framework for compiling multimodal datasets with audio and scores 

ABSTRACT: This paper describes an open-source Python framework for handling datasets
for music processing tasks, built with the aim of improving the reproducibility
of research projects in music computing and assessing the generalization
abilities of machine learning models. The framework enables the automatic
download and installation of several commonly used datasets for multimodal
music processing. Specifically, we provide a Python API to access the datasets
through Boolean set operations based on particular attributes, such as
intersections and unions of composers, instruments, and so on. The framework is
designed to ease the inclusion of new datasets and the respective ground-truth
annotations so that one can build, convert, and extend one's own collection as
well as distribute it by means of a compliant format to take advantage of the
API. All code and ground-truth are released under suitable open licenses.
This paper describes an open-source Python framework for handling datasets
for music processing tasks, built with the aim of improving the reproducibility
of research projects in music computing and assessing the generalization
abilities of machine learning models. The framework enables the automatic
download and installation of several commonly used datasets for multimodal
music processing. Specifically, we provide a Python API to access the datasets
through Boolean set operations based on particular attributes, such as
intersections and unions of composers, instruments, and so on. The framework is
designed to ease the inclusion of new datasets and the respective ground-truth
annotations so that one can build, convert, and extend one's own collection as
well as distribute it by means of a compliant format to take advantage of the
API. All code and ground-truth are released under suitable open licenses.
ASMD: an automatic framework for compiling multimodal datasets with audio and scores
http://arxiv.org/abs/2003.01958v2