add

app.py

@@ -62,8 +62,8 @@ def init_leaderboard(dataframe):
     if dataframe is None or dataframe.empty:
         raise ValueError("Leaderboard DataFrame is empty or None.")
 
-    # pdb.set_trace()
-    num_cols = dataframe.select_dtypes(include=['number']).columns
+    pdb.set_trace()
+    num_cols = dataframe.select_dtypes(include=['float']).columns
     styler = dataframe.style.format({col: "{:.1f}" for col in num_cols})
     return gr.components.Dataframe(
         value=styler,
@@ -109,10 +109,10 @@ with demo:
     gr.HTML(TITLE)
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
-    with gr.Tabs(elem_classes="tab-buttons") as tabs:
+    with gr.Tabs(elem_id="main-tabs", elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
             # leaderboard = init_leaderboard(LEADERBOARD_DF)
-            with gr.Tabs():
+            with gr.Tabs(elem_id="nested-tabs", elem_classes="nested-tab-buttons"):
                 with gr.TabItem("Overall", elem_id="overall", id=0):
                     leaderboard = init_leaderboard(LEADERBOARD_DF)
 

src/display/css_html_js.py

@@ -50,6 +50,18 @@ custom_css = """
     font-size: 20px;
 }
 
+/* 主 Tabs 样式 */
+#main-tabs .tab-buttons {
+    background-color: #f5f5f5; /* 设置背景颜色 */
+    border-bottom: 2px solid #ccc; /* 添加底部边框 */
+}
+
+/* 嵌套 Tabs 样式 */
+#nested-tabs .nested-tab-buttons {
+    background-color: #e0f7fa; /* 另一个背景颜色 */
+    border-bottom: 2px solid #007bff; /* 蓝色边框 */
+}
+
 #scale-logo {
     border-style: none !important;
     box-shadow: none;

src/leaderboard/read_evals.py

@@ -87,7 +87,10 @@ class EvalResult:
         for metric in Metrics:
             metric = metric.value
 
-            results[metric.short] = float(data["results"][task][metric.short])
+            if metric.short == "Tokens":
+                results[metric.short] = int(data["results"][task][metric.short])
+            else:
+                results[metric.short] = float(data["results"][task][metric.short])
 
         return self(
             eval_name=result_key,