{
      "@context":"https://schema.org/",
      "@type":"Dataset",
      "name":"DocVQA",
      "description":"The \"Document Visual Question Answering\" (DocVQA) challenge, focuses on a specific type of Visual Question Answering task, where visually understanding the information on a document image is necessary in order to provide an answer. This goes over and above passing a document image through OCR, and involves understanding all types of information conveyed by a document. Textual content (handwritten or typewritten), non-textual elements (marks, tick boxes, separators, diagrams), layout (page structure, forms, tables), and style (font, colours, highlighting), to mention just a few, are pieces of information that can be potentially necessary for responding to the question at hand.",
      "url":"https://rrc.cvc.uab.es/?ch=17",
      "citation": "https://arxiv.org/abs/2007.00398",
      "identifier": ["https://arxiv.org/abs/2007.00398"],
      "keywords":[
         "Document Understanding",
         "Document Visual Question Answering",
         "Question Answering"
      ],
      "license" : {
        "@type": "CreativeWork",
        "name": "Creative Commons",
        "url": "https://creativecommons.org/publicdomain/zero/1.0/"
      },
      "isAccessibleForFree" : true,
      "hasPart" : [
        {
          "@type": "Dataset",
          "name": "Train set"
        },
        {
          "@type": "Dataset",
          "name": "Dev set"
        },
        {
          "@type": "Dataset",
          "name": "Test set"
        }
      ],
      "version" : "1.0"
}
