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feat: update readme

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  **Acknowledgements**: 🔍 [Dingo](https://github.com/MigoXLab/dingo)
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- ScienceMetaBench is a benchmark dataset for evaluating the accuracy of metadata extraction from scientific literature PDF files. The dataset covers three major categories: academic papers, textbooks, and ebooks, and can be used to assess the performance of Large Language Models (LLMs) or other information extraction systems.
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  ## 📊 Dataset Overview
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  **Acknowledgements**: 🔍 [Dingo](https://github.com/MigoXLab/dingo)
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+ ScienceMetaBench is a benchmark dataset for evaluating the accuracy of metadata extraction from scientific literature PDF files. The dataset covers three major categories: academic papers, textbooks, and ebooks, and can be used to assess the performance of Vision Language Models (VLMs) or other information extraction systems.
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  ## 📊 Dataset Overview
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  **致谢**: 🔍 [Dingo](https://github.com/MigoXLab/dingo)
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- ScienceMetaBench 是一个用于评估从 PDF 文件中提取科学文献元数据准确性的基准测试数据集。该数据集涵盖学术论文、教材和电子书三大类别,可用于评估大语言模型(LLM)或其他信息提取系统的性能。
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  ## 📊 数据集概览
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  **致谢**: 🔍 [Dingo](https://github.com/MigoXLab/dingo)
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+ ScienceMetaBench 是一个用于评估从 PDF 文件中提取科学文献元数据准确性的基准测试数据集。该数据集涵盖学术论文、教材和电子书三大类别,可用于评估视觉模型(VLM)或其他信息提取系统的性能。
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  ## 📊 数据集概览
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