|
--- |
|
license: other |
|
pretty_name: FinTabNet-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](https://developer.ibm.com/exchanges/data/all/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 |
|
|
|
### OTSL Vocabulary: |
|
|
|
**OTSL**: new reduced table structure token format |
|
More information on the OTSL table structure format and its concepts can be read from our paper. |
|
Format of this dataset extends work presented in a paper, and introduces slight modifications: |
|
|
|
* "fcel" - cell that has content in it |
|
* "ecel" - cell that is empty |
|
* "lcel" - left-looking cell (to handle horizontally merged cells) |
|
* "ucel" - up-looking cell (to handle vertically merged cells) |
|
* "xcel" - 2d span cells, in this dataset - covers entire area of a merged cell |
|
* "nl" - new line token |
|
|
|
### Data Splits |
|
|
|
The dataset provides three splits |
|
- `train` |
|
- `val` |
|
- `test` |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
The dataset is converted by the [Deep Search team](https://ds4sd.github.io/) at IBM Research. |
|
You can contact us at [deepsearch-core@zurich.ibm.com](mailto:deepsearch-core@zurich.ibm.com). |
|
|
|
Curators: |
|
- Maksym Lysak, [@maxmnemonic](https://github.com/maxmnemonic) |
|
- Ahmed Nassar, [@nassarofficial](https://github.com/nassarofficial) |
|
- Christoph Auer, [@cau-git](https://github.com/cau-git) |
|
- Nikos Livathinos, [@nikos-livathinos](https://github.com/nikos-livathinos) |
|
- Peter Staar, [@PeterStaar-IBM](https://github.com/PeterStaar-IBM) |
|
|
|
|
|
### Citation Information |
|
|
|
|
|
```bib |
|
@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} |
|
}``` |
