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naver-clova-ix/synthdog-ko

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Hugging Face2024-01-31 更新2024-03-04 收录
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https://hf-mirror.com/datasets/naver-clova-ix/synthdog-ko
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资源简介:
## Donut 🍩 : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets For more information, please visit https://github.com/clovaai/donut ![image](https://github.com/clovaai/donut/blob/master/misc/sample_synthdog.png?raw=true) 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} } ```

Donut 🍩:无光学字符识别(Optical Character Recognition,OCR)的文档理解Transformer(ECCV 2022)—— SynthDoG数据集 更多信息请访问 https://github.com/clovaai/donut ![image](https://github.com/clovaai/donut/blob/master/misc/sample_synthdog.png?raw=true) SynthDoG生成的数据集链接如下: - [`synthdog-en`](https://huggingface.co/datasets/naver-clova-ix/synthdog-en):英语语料,共计50万条样本 - [`synthdog-zh`](https://huggingface.co/datasets/naver-clova-ix/synthdog-zh):汉语语料,共计50万条样本 - [`synthdog-ja`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ja):日语语料,共计50万条样本 - [`synthdog-ko`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ko):韩语语料,共计50万条样本 若需使用SynthDoG生成合成数据集,请详见`./synthdog/README.md`及[我们的论文](#how-to-cite)获取详细信息。 ## 引用方式 若您的研究工作受益于本项目,请引用如下文献: 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} }
提供机构:
naver-clova-ix
原始信息汇总

数据集概述

数据集名称

  • SynthDoG datasets

数据集描述

  • 该数据集是为Donut模型(一种OCR-Free文档理解Transformer)开发的,用于ECCV 2022会议。

数据集链接

数据集生成

  • 可通过查看./synthdog/README.md文件和相关论文了解如何使用SynthDoG生成合成数据集。
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