Datasets:
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: hq_img | |
| dtype: image | |
| - name: lq_img | |
| dtype: image | |
| - name: text | |
| sequence: string | |
| - name: bbox | |
| sequence: | |
| array2_d: | |
| shape: | |
| - 2 | |
| - 2 | |
| dtype: int32 | |
| - name: poly | |
| sequence: | |
| array2_d: | |
| shape: | |
| - 16 | |
| - 2 | |
| dtype: int32 | |
| splits: | |
| - name: test | |
| num_bytes: 55089874.0 | |
| num_examples: 847 | |
| download_size: 54622145 | |
| dataset_size: 55089874.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| language: | |
| - en | |
| size_categories: | |
| - 10M<n<100M | |
| task_categories: | |
| - image-to-image | |
| tags: | |
| - image-restoration | |
| - diffusion-models | |
| - text-recognition | |
| # Real-Text | |
| **Text-Aware Image Restoration with Diffusion Models** (arXiv:2506.09993) | |
| Real-world evaluation dataset for the TAIR task. | |
| - 📄 Paper: https://arxiv.org/abs/2506.09993 | |
| - 🌐 Project Page: https://cvlab-kaist.github.io/TAIR/ | |
| - 💻 GitHub: https://github.com/cvlab-kaist/TAIR | |
| - 🛠 Dataset Pipeline: https://github.com/paulcho98/text_restoration_dataset | |
| ## Dataset Description | |
| **Real-Text** is an evaluation dataset constructed from [RealSR](https://github.com/csjcai/RealSR) and [DrealSR](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution) using the same pipeline as SA-Text. It reflects **real-world degradation and distortion**, making it suitable for robust benchmarking. | |
| ## Notes | |
| - This dataset is designed for testing oour model, **TeReDiff**, under realistic settings. | |
| - Check [SA-text](https://huggingface.co/datasets/Min-Jaewon/SA-Text) for training dataset. | |
| - Please refer to our [dataset pipeline](https://github.com/paulcho98/text_restoration_dataset). | |
| ## Citation | |
| Please cite the following paper if you use this dataset: | |
| ``` | |
| { | |
| @article{min2024textaware, | |
| title={Text-Aware Image Restoration with Diffusion Models}, | |
| author={Min, Jaewon and Kim, Jin Hyeon and Cho, Paul Hyunbin and Lee, Jaeeun and Park, Jihye and Park, Minkyu and Kim, Sangpil and Park, Hyunhee and Kim, Seungryong}, | |
| journal={arXiv preprint arXiv:2506.09993}, | |
| year={2025} | |
| } | |
| ``` |