The dataset contains 1572 documents in total, devided into Train (1102 docs, 32.7k questions), Dev (115 documents, 3.5k questions) and Test (355 documents, 10.5k questions) sets.
this supports our hypothesis that discourse information is required for generalizing to longer contexts.