fixes

app.py

@@ -72,13 +72,17 @@ def hide_skill_columns(dataframe, exceptions=[]):
 
 def perform_cell_formatting(dataframe):
     
-    return dataframe.style.format({'Contamination Score': "{:.2f}",'Speed (words/sec)': "{:.2f}"}).apply(
+    styler = dataframe.style.format(precision=2, decimal=".").apply(
         lambda rows: [
             "background-color: red;color: white !important" if (value >0) else "color: green !important;" for value in rows
         ],
         subset=["Contamination Score"],
+        axis=1 
     )
 
+    return styler
+        
+
 def make_column_bold(df_col):
     return df_col.apply(lambda x: "<b>"+str(x)+"</b>")
 
@@ -86,13 +90,15 @@ def init_leaderboard(dataframe):
 
     dataframe = hide_skill_columns(dataframe)
 
-    
-    dataframe["Benchmark Score (0-10)"] = make_column_bold(dataframe["Benchmark Score (0-10)"])
+
+    dataframe.loc[:,"Benchmark Score (0-10)"] = make_column_bold(dataframe["Benchmark Score (0-10)"])
+
      
     styler = perform_cell_formatting(dataframe)
 
 
 
+
     return gr.Dataframe(
             value=styler,
             datatype="markdown",
@@ -146,7 +152,7 @@ def init_size_leaderboard(dataframe):
 
     dataframe = hide_skill_columns(dataframe)
 
-    dataframe["Benchmark Score (0-10)"] = make_column_bold(dataframe["Benchmark Score (0-10)"])
+    dataframe.loc[:,"Benchmark Score (0-10)"] = make_column_bold(dataframe["Benchmark Score (0-10)"])
 
     size_keys = ["Large","Medium","Small","Nano"]
 

src/display/css_html_js.py

@@ -132,7 +132,9 @@ border-radius: 10px;
 
 
 .ddm-value{
-    color:#1000b6;
+    color:#4c78a8 !important;
+    font-weight:bold !important;
+    margin-top: 10px;
 }
 
 

src/populate.py

@@ -14,7 +14,7 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     all_data_json = [v.to_dict() for v in raw_data]
 
     df = pd.DataFrame.from_records(all_data_json)
-  
+    
     if not df.empty:
         df = df.sort_values(by=[AutoEvalColumn.average_score.name], ascending=False)
         
@@ -23,10 +23,20 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
         df = df[has_no_nan_values(df, benchmark_cols)]
 
         df.insert(0, "Rank", range(1, len(df) + 1))
-        df = df[cols].round(decimals=2)
+  
+        
+        ##round any float column 
+        for col in df.columns:
+            if df[col].dtype == "float64":
+                df[col] = df[col].round(2)
+
+        df["Benchmark Score (0-10)"] = df["Benchmark Score (0-10)"].astype(str)
+        print(df["Benchmark Score (0-10)"])
+
         print("###############\n\n\n\n\n\n###############")
 
         print(df)
+        print(df.info())
 
 
         return df