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
- Homepage: https://ds4sd.github.io
- Paper: https://arxiv.org/pdf/2305.03393
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:
- Maksym Lysak, @maxmnemonic
- Ahmed Nassar, @nassarofficial
- Christoph Auer, @cau-git
- Nikos Livathinos, @nikos-livathinos
- Peter Staar, @PeterStaar-IBM
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}
}```