Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
machine-generated
Annotations Creators:
machine-generated
Source Datasets:
original
ArXiv:
Tags:
document-ai
License:
DocBank / README.md
maveriq's picture
Updated README.md
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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 Description

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.