DocCVQA (Document Collection Visual Question Answering)
Introduced by Tito et al. in Document Collection Visual Question Answering
DocCVQA is a Document Visual Question Answering dataset, where the questions are posed over a whole collection of 14,362 scanned documents. Therefore, the task can be seen as a retrieval-style evidence seeking task where given a question, the aim is to identify and retrieve all the documents in a large document collection that are relevant to answering this question as well as provide the answer.
Papers
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