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Imaging · dataset · 2024

opendatalab/OmniDocBench

Listed in Hugging Face Datasets

OmniDocBench English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics: Diverse Document Types: The evaluation set contains 1651 PDF pages, covering 10 document types, 5 layout types and 5 language types.

Description

Coverage includes academic literature, research and financial reports, newspapers, textbooks, exam papers, magazines, handwritten notes, historical documents, and more.

Rich Annotations:… See the full description on the dataset page: huggingface.co/datasets/opendatalab/OmniDocBench.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
image
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsopendatalab/OmniDocBench12 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].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
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