In this work, we suggest a slightly more difficult data-to-text generation task, and investigate how effective current approaches are on this task.
we introduce a new, large-scale corpus of data records paired with descriptive documents, propose a series of extractive evaluation methods for analyzing performance, and obtain baseline results using current neural generation methods.