Dataset · Hugging Face

pixparse/docvqa-single-page-questions

Name: docvqa-single-page-questions
Creator: pixparse
License: mit
Keywords: task_categories:question-answering, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2007.00398, arxiv:1905.13648, region:us

Dataset Card for DocVQA Dataset Dataset Summary DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images. Please visit the challenge page (https://rrc.cvc.uab.es/?ch=17) and paper (https://arxiv.org/abs/2007.00398) for further information. Usage This dataset can be used with current releases of Hugging Face datasets library. Here is an example using a custom collator… See the full description on the dataset page: https://huggingface.co/datasets/pixparse/docvqa-single-page-questions.

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Author / organization	pixparse
License (as declared)	mit
Downloads	3.4K (as reported by Hugging Face)
Likes	11
Created	23 January 2024
Last updated at source	29 March 2024

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17 Oct 2026 Description: Dataset Card for DocVQA Dataset Dataset Summary DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images. Please visit the challenge page (https://rrc.cvc.uab. → Dataset Card for DocVQA Dataset Dataset Summary DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images. Please visit the challenge page (https://rrc.cvc.uab.

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