MTL Music Representation, data underlying the publication: One deep music representation to rule them all? A comparative analysis of different representation learning strategies

The data used in the training consists of subset of the Million Song Dataset (MSD). The neural network architecture is based on the VGG architecture.

To host multiple learning sources, we adopted multi-task architecture where the task-specific layers branches out from the shared layer. Main dataset file consists of multiple directories, where the model checkpoint and the learning curve data is saved in two separate files. Each model parameter is saved in compressed binary file serialized by the `Pytorch` python package.