We randomly split our corpus into 80% training, 10% development, and 10% testing data, based on sentences.
turning to the differences between the random and Crúbadán approaches to query generation, for each number of queries, the Crúbadán approach gives many more documents than the random approach, while the number of tokens is not drastically different between the two approaches.