language:
- en
size_categories:
- 100K<n<1M
Dataset Card for ReadingBank
Dataset Description
- Homepage:
- https://github.com/doc-analysis/ReadingBank
- Repository:
- https://github.com/doc-analysis/ReadingBank
- Paper:
- https://arxiv.org/pdf/2108.11591.pdf
- Leaderboard:
- Point of Contact:
- Raise github issue on mentioned repository for dataset related matters and contact @maveriq for huggingface dataset port.
Dataset Summary
ReadingBank is a benchmark dataset for reading order detection built with weak supervision from WORD documents, which contains 500K document images with a wide range of document types as well as the corresponding reading order information.
Supported Tasks and Leaderboards
Reading Order of documents
Languages
English
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
- src : text
- tgt : text
- bleu : float
- tgt_index : list of ints
- original_filename : str
- filename : str
- page_idx : int
- src_layout : Bounding boxes for src (list of list of ints)
- tgt_layout : Bounding boxes for tgt (list of list of ints)
Data Splits
train : 400,000 dev : 50,000 test : 50,000
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
[More Information Needed]
Citation Information
@misc{wang2021layoutreader, title={LayoutReader: Pre-training of Text and Layout for Reading Order Detection}, author={Zilong Wang and Yiheng Xu and Lei Cui and Jingbo Shang and Furu Wei}, year={2021}, eprint={2108.11591}, archivePrefix={arXiv}, primaryClass={cs.CL} }
Contributions
[More Information Needed]