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@@ -42,6 +42,59 @@ dataset_info:
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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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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ - **Homepage:** https://ds4sd.github.io
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+ - **Paper:** https://arxiv.org/pdf/2305.03393
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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+
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+ ### Data Splits
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+
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+ The dataset provides three splits
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+ - `train`
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+ - `val`
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+
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+
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+ ## Additional Information
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+
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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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+
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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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+
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+
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+ ### Citation Information
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+
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+
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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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+ }```