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README.md
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download_size: 8864819995
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dataset_size: 12470536652.788
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---
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# Dataset Card for
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download_size: 8864819995
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dataset_size: 12470536652.788
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---
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# Dataset Card for PubTabNet_OTSL
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## Dataset Description
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- **Homepage:** https://ds4sd.github.io
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- **Paper:** https://arxiv.org/pdf/2305.03393
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### Dataset Summary
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This dataset is a conversion of the original [PubTabNet](https://developer.ibm.com/exchanges/data/all/pubtabnet/) into the OTSL format presented in our paper "Optimized Table Tokenization for Table Structure Recognition". The dataset includes the original annotations amongst new additions.
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### Dataset Structure
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* cells: origunal dataset cell groundtruth (content).
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* otsl: new reduced table structure token format
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* html: original dataset groundtruth HTML (structure).
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* html_restored: generated HTML from OTSL.
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* cols: grid column length.
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* rows: grid row length.
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* image: PIL image
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### Data Splits
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The dataset provides three splits
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- `train`
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- `val`
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## Additional Information
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### Dataset Curators
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The dataset is converted by the [Deep Search team](https://ds4sd.github.io/) at IBM Research.
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You can contact us at [[email protected]](mailto:[email protected]).
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Curators:
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- Maksym Lysak, [@ maxmnemonic](https://github.com/maxmnemonic)
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- Ahmed Nassar, [@nassarofficial](https://github.com/nassarofficial)
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- Christoph Auer, [@cau-git](https://github.com/cau-git)
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- Nikos Livathinos, [@nikos-livathinos](https://github.com/nikos-livathinos)
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- Peter Staar, [@PeterStaar-IBM](https://github.com/PeterStaar-IBM)
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### Citation Information
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```bib
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@misc{lysak2023optimized,
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title={Optimized Table Tokenization for Table Structure Recognition},
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author={Maksym Lysak and Ahmed Nassar and Nikolaos Livathinos and Christoph Auer and Peter Staar},
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year={2023},
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eprint={2305.03393},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}```
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