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README.md
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# Real5-OmniDocBench
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**Real5-OmniDocBench** is a brand-new benchmark oriented toward real-world scenarios, which we constructed based on the OmniDocBench v1.5 dataset. The dataset comprises five distinct scenarios: Scanning, Warping, Screen-Photography, Illumination, and Skew. Apart from the Scanning category, all images were manually acquired via handheld mobile devices to closely simulate real-world conditions. Each subset maintains a one-to-one correspondence with the original OmniDocBench, strictly adhering to its ground-truth annotations and evaluation protocols. Given its empirical and realistic nature, this dataset serves as a rigorous benchmark for assessing the robustness of document parsing models in practical applications.
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## Citation
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If you use Real5-OmniDocBench in your research, please cite our dataset and refer also to the original OmniDocBench paper.
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```
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@misc{zhou2026real5omnidocbenchfullscalephysicalreconstruction,
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# Real5-OmniDocBench
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<div align="center">
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[[📜 arXiv]](https://arxiv.org/pdf/2603.04205) | [[Dataset (🤗Hugging Face)]](https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench)
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</div>
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**Real5-OmniDocBench** is a brand-new benchmark oriented toward real-world scenarios, which we constructed based on the OmniDocBench v1.5 dataset. The dataset comprises five distinct scenarios: Scanning, Warping, Screen-Photography, Illumination, and Skew. Apart from the Scanning category, all images were manually acquired via handheld mobile devices to closely simulate real-world conditions. Each subset maintains a one-to-one correspondence with the original OmniDocBench, strictly adhering to its ground-truth annotations and evaluation protocols. Given its empirical and realistic nature, this dataset serves as a rigorous benchmark for assessing the robustness of document parsing models in practical applications.
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## Citation
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If you use Real5-OmniDocBench in your research, please cite our dataset paper and refer also to the original OmniDocBench paper.
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```
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@misc{zhou2026real5omnidocbenchfullscalephysicalreconstruction,
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