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# Dataset for TFLOP

This repository contains the dataset used in the paper [**"TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism"**](https://www.ijcai.org/proceedings/2024/105), which is built upon the [PubTabNet dataset](https://github.com/ibm-aur-nlp/PubTabNet).

## ๐Ÿ“‚ Dataset Overview

This dataset includes:
1. **Filtered Images**: A subset of images from the original PubTabNet dataset, with erroneous samples removed.
2. **OCR Inference Results**: OCR (Optical Character Recognition) outputs corresponding to the included images.

The dataset has been prepared and refined to ensure high quality for the experiments in the paper.

## ๐Ÿš€ How to Use

You can access detailed usage instructions in the [TFLOP GitHub repository](https://github.com/UpstageAI/TFLOP).  

Simply clone the repository and follow the steps provided in the README there:
```bash
git clone https://github.com/UpstageAI/TFLOP
```


# ๐Ÿ“œ License
This dataset is distributed under the original [PubTabNet](https://github.com/ibm-aur-nlp/PubTabNet) license. Please refer to the license terms when using this dataset.

# ๐Ÿ“ Citation
If you use this dataset in your research, please cite both TFLOP and PubTabNet:
```css
@inproceedings{khang2024tflop,
  title={TFLOP: table structure recognition framework with layout pointer mechanism},
  author={Khang, Minsoo and Hong, Teakgyu},
  booktitle={Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence},
  pages={947--955},
  year={2024}
}
```
```css
@article{zhong2019image,
  title={Image-based table recognition: data, model, and evaluation},
  author={Zhong, Xu and ShafieiBavani, Elaheh and Yepes, Antonio Jimeno},
  journal={arXiv preprint arXiv:1911.10683},
  year={2019}
}
```