NeuralMetrics/DocumentVQA
Neural Metrics · Asking documents questions, and grading the answers. Document visual question answering: given a page image and a natural-language question, produce the answer. It measures whether a model genuinely read the layout or merely pattern-matched the text. We use it for: evaluating question-answering over extracted documents - catching models that read text but misread structure. Attribution This is an unmodified fork of… See the full description on the dataset page: https://huggingface.co/datasets/NeuralMetrics/DocumentVQA.
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