| # 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). | |
| ## 📂 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. | |
| ## 🚀 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 | |
| ``` | |
| # 📜 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. | |
| # 📝 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} | |
| } | |
| ``` | |