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+ ## Donut 🍩 : OFR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
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+ For more information, please visit https://github.com/clovaai/donut
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+ ![image](https://github.com/clovaai/donut/blob/master/misc/sample_synthdog.png?raw=true)
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+ The links to the SynthDoG-generated datasets are here:
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+ - [`synthdog-en`](https://huggingface.co/datasets/naver-clova-ix/synthdog-en): English, 0.5M.
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+ - [`synthdog-zh`](https://huggingface.co/datasets/naver-clova-ix/synthdog-zh): Chinese, 0.5M.
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+ - [`synthdog-ja`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ja): Japanese, 0.5M.
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+ - [`synthdog-ko`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ko): Korean, 0.5M.
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+ To generate synthetic datasets with our SynthDoG, please see `./synthdog/README.md` and [our paper](#how-to-cite) for details.
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+ ## How to Cite
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+ If you find this work useful to you, please cite:
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+ ```bibtex
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+ @inproceedings{kim2022donut,
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+ title = {OCR-Free Document Understanding Transformer},
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+ 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},
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+ booktitle = {European Conference on Computer Vision (ECCV)},
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+ year = {2022}
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+ }
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+ ```