FinTabNet_OTSL / README.md
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metadata
license: other
pretty_name: PubTabNet-OTSL
size_categories:
  - 10K<n<100K
tags:
  - table-structure-recognition
  - table-understanding
  - PDF
task_categories:
  - object-detection
  - table-to-text

Dataset Card for FinTabNet_OTSL

Dataset Description

Dataset Summary

This dataset is a conversion of the original FinTabNet into the OTSL format presented in our paper "Optimized Table Tokenization for Table Structure Recognition". The dataset includes the original annotations amongst new additions.

Dataset Structure

  • cells: origunal dataset cell groundtruth (content).
  • otsl: new reduced table structure token format
  • html: original dataset groundtruth HTML (structure).
  • html_restored: generated HTML from OTSL.
  • cols: grid column length.
  • rows: grid row length.
  • image: PIL image

Data Splits

The dataset provides three splits

  • train
  • val
  • test

Additional Information

Dataset Curators

The dataset is converted by the Deep Search team at IBM Research. You can contact us at deepsearch-core@zurich.ibm.com.

Curators:

Citation Information

@misc{lysak2023optimized,
      title={Optimized Table Tokenization for Table Structure Recognition}, 
      author={Maksym Lysak and Ahmed Nassar and Nikolaos Livathinos and Christoph Auer and Peter Staar},
      year={2023},
      eprint={2305.03393},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}```