We split the data in this way in order to encourage our models to learn more domain independent features, that are applicable across the diverse set of controversial topics.
with this structure, we can identify indirect support/oppose relationships even between nodes without parent-child relationships if they (a) Number of controversial topics with the given predefined categories.