In this work, we propose TOTTO, an opendomain table-to-text generation dataset that introduces a novel task design and annotation process to address the above challenges.
data-to-text tasks that are limited to verbalizing a fully specified meaning representation (Gardent et al., 2017b) do not test a model's ability to perform inference and thus remove a considerable amount of challenge from the task.