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--- |
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license: other |
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pretty_name: PubTabNet-OTSL |
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size_categories: |
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- 10K<n<100K |
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tags: |
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- table-structure-recognition |
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- table-understanding |
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- PDF |
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task_categories: |
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- object-detection |
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- table-to-text |
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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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### OTSL Vocabulary: |
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**OTSL**: new reduced table structure token format |
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More information on the OTSL table structure format and its concepts can be read from our paper. |
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Format of this dataset extends work presented in a paper, and introduces slight modifications: |
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* "fcel" - cell that has content in it |
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* "ecel" - cell that is empty |
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* "lcel" - left-looking cell (to handle horizontally merged cells) |
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* "ucel" - up-looking cell (to handle vertically merged cells) |
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* "xcel" - 2d span cells, in this dataset - covers entire area of a merged cell |
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* "nl" - new line token |
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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 [deepsearch-core@zurich.ibm.com](mailto:deepsearch-core@zurich.ibm.com). |
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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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