  Current tasks and methods in Document Understanding aims to process documents
as single elements. However, documents are usually organized in collections
(historical records, purchase invoices), that provide context useful for their
interpretation. To address this problem, we introduce Document Collection
Visual Question Answering (DocCVQA) a new dataset and related task, where
questions are posed over a whole collection of document images and the goal is
not only to provide the answer to the given question, but also to retrieve the
set of documents that contain the information needed to infer the answer. Along
with the dataset we propose a new evaluation metric and baselines which provide
further insights to the new dataset and task.
