update

src/about.py

@@ -113,7 +113,7 @@ EmbodiedVerse-Open is a meta-dataset composed of 10 datasets for comprehensively
 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 understanding, 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:
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+```python
 Spatial Reasoning: 1085 53.13%
   Dynamic: 200 18.43%
   Relative direction: 200 18.43%
@@ -135,7 +135,7 @@ Prediction: 245 12.00%
 Planning: 264 12.93%
   Goal Decomposition: 200 75.76%
   Navigation: 64 24.24% 
-
+```
 ## Embodied Verse 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。