| ## Donut 🍩 : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets | |
| For more information, please visit https://github.com/clovaai/donut | |
|  | |
| The links to the SynthDoG-generated datasets are here: | |
| - [`synthdog-en`](https://huggingface.co/datasets/naver-clova-ix/synthdog-en): English, 0.5M. | |
| - [`synthdog-zh`](https://huggingface.co/datasets/naver-clova-ix/synthdog-zh): Chinese, 0.5M. | |
| - [`synthdog-ja`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ja): Japanese, 0.5M. | |
| - [`synthdog-ko`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ko): Korean, 0.5M. | |
| To generate synthetic datasets with our SynthDoG, please see `./synthdog/README.md` and [our paper](#how-to-cite) for details. | |
| ## How to Cite | |
| If you find this work useful to you, please cite: | |
| ```bibtex | |
| @inproceedings{kim2022donut, | |
| title = {OCR-Free Document Understanding Transformer}, | |
| author = {Kim, Geewook and Hong, Teakgyu and Yim, Moonbin and Nam, JeongYeon and Park, Jinyoung and Yim, Jinyeong and Hwang, Wonseok and Yun, Sangdoo and Han, Dongyoon and Park, Seunghyun}, | |
| booktitle = {European Conference on Computer Vision (ECCV)}, | |
| year = {2022} | |
| } | |
| ``` |