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docs: enhance table structure and content for backend features and system requirements in index.md

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4 ändrade filer med 14 tillägg och 14 borttagningar
  1. 4 4
      README.md
  2. 3 3
      README_zh-CN.md
  3. 4 4
      docs/en/quick_start/index.md
  4. 3 3
      docs/zh/quick_start/index.md

+ 4 - 4
README.md

@@ -678,10 +678,10 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
     </tbody>
 </table>
  
-<sup>1</sup> Accuracy metric is the End-to-End Evaluation Overall score of OmniDocBench (v1.5)  
-<sup>2</sup> Linux supports only distributions released in 2019 or later  
-<sup>3</sup> Requires macOS 13.5 or later  
-<sup>4</sup> Windows vLLM support via WSL2  
+<sup>1</sup> Accuracy metric is the End-to-End Evaluation Overall score of OmniDocBench (v1.5), tested on the latest `MinerU` version.   
+<sup>2</sup> Linux supports only distributions released in 2019 or later.  
+<sup>3</sup> MLX requires macOS 13.5 or later.  
+<sup>4</sup> Windows vLLM support via WSL2.  
 <sup>5</sup> Servers compatible with the OpenAI API, such as `vLLM`/`SGLang`/`LMDeploy`, etc.
 
 

+ 3 - 3
README_zh-CN.md

@@ -665,10 +665,10 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
     </tbody>
 </table> 
 
-<sup>1</sup> 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数  
+<sup>1</sup> 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数,基于`MinerU`最新版本测试  
 <sup>2</sup> Linux仅支持2019年及以后发行版  
-<sup>3</sup> 需macOS 13.5及以上版本  
-<sup>4</sup> 通过WSL2实现Windows vLLM支持  
+<sup>3</sup> MLX需macOS 13.5及以上版本支持  
+<sup>4</sup> Windows vLLM通过WSL2实现支持  
 <sup>5</sup> 兼容OpenAI API的服务器,如`vLLM`/`SGLang`/`LMDeploy`等
 
 > [!TIP]

+ 4 - 4
docs/en/quick_start/index.md

@@ -85,10 +85,10 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
     </tbody>
 </table>
  
-<sup>1</sup> Accuracy metric is the End-to-End Evaluation Overall score of OmniDocBench (v1.5)  
-<sup>2</sup> Linux supports only distributions released in 2019 or later  
-<sup>3</sup> Requires macOS 13.5 or later  
-<sup>4</sup> Windows vLLM support via WSL2  
+<sup>1</sup> Accuracy metric is the End-to-End Evaluation Overall score of OmniDocBench (v1.5), tested on the latest `MinerU` version.   
+<sup>2</sup> Linux supports only distributions released in 2019 or later.  
+<sup>3</sup> MLX requires macOS 13.5 or later.  
+<sup>4</sup> Windows vLLM support via WSL2.  
 <sup>5</sup> Servers compatible with the OpenAI API, such as `vLLM`/`SGLang`/`LMDeploy`, etc.
 
 ### Install MinerU

+ 3 - 3
docs/zh/quick_start/index.md

@@ -85,10 +85,10 @@
     </tbody>
 </table> 
 
-<sup>1</sup> 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数  
+<sup>1</sup> 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数,基于`MinerU`最新版本测试  
 <sup>2</sup> Linux仅支持2019年及以后发行版  
-<sup>3</sup> 需macOS 13.5及以上版本  
-<sup>4</sup> 通过WSL2实现Windows vLLM支持  
+<sup>3</sup> MLX需macOS 13.5及以上版本支持  
+<sup>4</sup> Windows vLLM通过WSL2实现支持  
 <sup>5</sup> 兼容OpenAI API的服务器,如`vLLM`/`SGLang`/`LMDeploy`等
 
 > [!TIP]