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  DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images.
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  ### Usage
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  This dataset can be used with current releases of Hugging Face `datasets` library.
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  ### Dataset Curators
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- Pablo Montalvo, Ross Wightman
 
 
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  ### Licensing Information
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  ### Citation Information
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- Mathew, Minesh, Dimosthenis Karatzas, and C. V. Jawahar. "Docvqa: A dataset for vqa on document images." Proceedings of the IEEE/CVF winter conference on applications of computer vision. 20
 
 
 
 
 
 
 
 
 
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  DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images.
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+ Please visit the challenge page (https://rrc.cvc.uab.es/?ch=17) and paper (https://arxiv.org/abs/2007.00398) for further information.
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  ### Usage
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  This dataset can be used with current releases of Hugging Face `datasets` library.
 
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  ### Dataset Curators
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+ For original authors of the dataset, see citation below.
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+ Hugging Face points of contact for this instance: Pablo Montalvo, Ross Wightman
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  ### Licensing Information
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  ### Citation Information
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+ ```bibtex
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+ @InProceedings{docvqa_wacv,
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+ author = {Mathew, Minesh and Karatzas, Dimosthenis and Jawahar, C.V.},
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+ title = {DocVQA: A Dataset for VQA on Document Images},
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+ booktitle = {WACV},
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+ year = {2021},
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+ pages = {2200-2209}
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+ }
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+ ```