metadata
annotations_creators:
- machine-generated
language:
- en
language_creators:
- machine-generated
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: DocBank
size_categories:
- 100K<n<1M
source_datasets:
- original
tags:
- document-ai
task_categories: []
task_ids: []
Dataset Card for DocBank
Table of Contents
- Dataset Card for DocBank
Dataset Description
- Homepage: https://doc-analysis.github.io/docbank-page/index.html
- Repository: https://github.com/doc-analysis/DocBank
- Paper: https://arxiv.org/abs/2006.01038
- Leaderboard:
- Point of Contact:
Dataset Summary
DocBank is a new large-scale dataset that is constructed using a weak supervision approach. It enables models to integrate both the textual and layout information for downstream tasks. The current DocBank dataset totally includes 500K document pages, where 400K for training, 50K for validation and 50K for testing.
Supported Tasks and Leaderboards
Document AI (text and layout)
Languages
English
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
dataset_info: features:
- name: image dtype: image
- name: token dtype: string
- name: bounding_box sequence: sequence: uint16
- name: color sequence: sequence: uint8
- name: font dtype: string
- name: label dtype: string
Data Splits
dataset_info: splits:
- name: train num_bytes: 80004043 num_examples: 400000
- name: validation num_bytes: 9995812 num_examples: 50000
- name: test num_bytes: 9995812 num_examples: 50000 download_size: 0 dataset_size: 99995667
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
Apache 2.0 License
Citation Information
title={DocBank: A Benchmark Dataset for Document Layout Analysis},
author={Minghao Li and Yiheng Xu and Lei Cui and Shaohan Huang and Furu Wei and Zhoujun Li and Ming Zhou},
year={2020},
eprint={2006.01038},
archivePrefix={arXiv},
primaryClass={cs.CL}
Contributions
Thanks to @doc-analysis for adding this dataset.