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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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README.md

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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).
+
+## 📂 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}
+}
+```

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