update

app.py

@@ -105,7 +105,8 @@ def update_table(
     query: str,
 ):
     print("query", query)
-    filtered_df = filter_models(df=hidden_df, type_query=type_query, size_query=size_query, precision_query=precision_query, hide_models=hide_models)
+    #filtered_df = filter_models(df=hidden_df, type_query=type_query, size_query=size_query, precision_query=precision_query, hide_models=hide_models)
+    filtered_df = filter_models(df=hidden_df)
     filtered_df = filter_queries(query, filtered_df)
     df = select_columns(filtered_df, columns)
     return df

src/about.py

@@ -95,7 +95,7 @@ FlagEvalMM is an open-source evaluation framework designed to  comprehensively a
 - Extensive Model Support: The model_zoo provides  inference support for a wide range of popular multimodal models  including QWenVL and LLaVA. Additionally, it offers seamless integration  with API-based models such as GPT, Claude, and HuanYuan.
 - Extensible Design: Easily extendable to incorporate new models, benchmarks, and evaluation metrics.
 
-# Embodied verse
+# Embodied Verse
 EmbodiedVerse-Open是一个由10个数据集构成的用于全面评测模型在具身智能场景下的meta dataset，包括：
 
 - <a href="https://arxiv.org/pdf/2406.10721" target="_blank"> Where2Place </a>:  包含100张来自不同杂乱环境的真实世界图像，每张图像都标注了一句描述所需自由空间位置的语句和一个对应的掩码，用于评估基于空间关系的自由空间指代表达。