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Data · dataset · 2022

DocVQA - A Dataset for VQA on Document Images

Listed in Hugging Face Datasets

DocVQA: A Dataset for VQA on Document Images The DocVQA dataset can be downloaded from the challenge page in RRC portal ("Downloads" tab).

Description

Dataset Structure The DocVQA comprises 50, 000 questions framed on 12,767 images. The data is split randomly in an 80−10−10 ratio to train, validation and test splits.

Train split: 39,463 questions, 10,194 images Validation split: 5,349 questions and 1,286 images Test split has 5,188 questions and 1,287 images. Resources and… See the full description on the dataset page: huggingface.co/datasets/eliolio/docvqa.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetseliolio/docvqa14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0