Create training & dev sets

In order to move forward with experiments, we need to split the available data into training and validation distributions.

Steps to complete the task might include the following:

• Coming up with a sampling (and potentially subsampling) method
• Develop solid reasoning behind splits
• Potentially create reproducible sampling methods

Additional data sets for validation purposes (last.fm, AOTM, etc.) will be added at later point.