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README.md
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---
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language:
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- en
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for ReadingBank
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## Dataset Description
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- **Homepage:**
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- https://github.com/doc-analysis/ReadingBank
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- **Repository:**
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- https://github.com/doc-analysis/ReadingBank
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- **Paper:**
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- https://arxiv.org/pdf/2108.11591.pdf
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- **Leaderboard:**
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- **Point of Contact:**
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- Raise github issue on mentioned repository for dataset related matters and contact @maveriq for huggingface dataset port.
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### Dataset Summary
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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.
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### Supported Tasks and Leaderboards
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Reading Order of documents
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### Languages
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English
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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- src : text
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- tgt : text
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- bleu : float
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- tgt_index : list of ints
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- original_filename : str
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- filename : str
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- page_idx : int
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- src_layout : Bounding boxes for src (list of list of ints)
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- tgt_layout : Bounding boxes for tgt (list of list of ints)
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### Data Splits
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train : 400,000
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dev : 50,000
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test : 50,000
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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@misc{wang2021layoutreader,
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title={LayoutReader: Pre-training of Text and Layout for Reading Order Detection},
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author={Zilong Wang and Yiheng Xu and Lei Cui and Jingbo Shang and Furu Wei},
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year={2021},
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eprint={2108.11591},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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### Contributions
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[More Information Needed]
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