fix table bug

app.py

@@ -10,6 +10,8 @@ from src.about import (
     EVALUATION_QUEUE_TEXT,
     INTRODUCTION_TEXT,
     LLM_BENCHMARKS_TEXT,
+    LLM_BENCHMARKS_TEXT2,
+    TABLE_TEXT,
     TITLE,
     EVALUATION_METRIC_TEXT,
 )
@@ -429,7 +431,8 @@ with demo:
             gr.Markdown(EVALUATION_METRIC_TEXT, elem_classes="markdown-text")
         with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
             gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
-
+            gr.HTML(TABLE_TEXT)
+            gr.Markdown(LLM_BENCHMARKS_TEXT2, elem_classes="markdown-text")
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):

src/about.py

@@ -176,7 +176,9 @@ Planning
 我们对上述10个数据集的数据进行了能力维度划分，归纳出具身智能场景需要的4大能力维度空间理解，感知，预测，规划。并按照能力维度，采样出一个样本数为2042的优质子集，能力维度定义和各维度的数据量如下：
 
 We have categorized the data of the above 10 datasets by capability dimensions, and summarized four major capability dimensions required for embodied intelligence scenarios: spatial reasoning, perception, prediction, and planning. According to the capability dimensions, a high-quality subset with 2,042 samples was sampled. The definitions of the capability dimensions and the data volume of each dimension are as follows:
+"""
 
+TABLE_TEXT = """
 <table>
     <thead>
         <tr>
@@ -263,7 +265,9 @@ We have categorized the data of the above 10 datasets by capability dimensions,
         </tr>
     </tbody>
 </table>
+"""
 
+LLM_BENCHMARKS_TEXT2 = """
 ## EmbodiedVerse Tool - FlagEvalMM
 
 FlagEvalMM是一个开源评估框架，旨在全面评估多模态模型，其提供了一种标准化的方法来评估跨各种任务和指标使用多种模式（文本、图像、视频）的模型。