Since the WebNLG corpus only contains single-paragraph texts, this step will be only evaluated on sentence planning, being closer to the Aggregation task of the original architecture (Reiter and Dale, 2000).
in total, our Discourse Ordering data consists of 13,757, 1,730 and 3,839 ordered triple sets for 5,152, 644 and 1,408 training, development and test input triple sets, respectively.