styling

app.py

@@ -62,8 +62,15 @@ LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS,
 def init_leaderboard(dataframe):
     #if dataframe is None or dataframe.empty:
         #raise ValueError("Leaderboard DataFrame is empty or None.")
+     styler = dataframe.style.apply(
+            lambda rows: [
+                "background-color: red;color:white" if (value >0) else "background-color: green;color:white" for value in rows
+            ],
+            subset=["Contamination Score"],
+        )
+        
      return gr.Dataframe(
-            value=dataframe[[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default]],
+            value=styler,
             datatype="markdown",
             wrap=True,
             show_fullscreen_button=False,

src/display/css_html_js.py

@@ -22,11 +22,11 @@ custom_css = """
 }
 
 #leaderboard-table {
-    margin-top: 15px
+    margin-top: 10px
 }
 
 #leaderboard-table-lite {
-    margin-top: 15px
+    margin-top: 10px
 }
 
 #search-bar-table-box > div:first-child {

src/leaderboard/read_evals.py

@@ -137,8 +137,8 @@ class EvalResult:
         for eval_dim in EvalDimensions:
             dimension_name = eval_dim.value.col_name
             dimension_value = self.results[eval_dim.value.metric]
-            if dimension_name == "Contamination Score":
-                dimension_value = make_contamination_red(dimension_value)
+            #if dimension_name == "Contamination Score":
+            #    dimension_value = make_contamination_red(dimension_value)
             data_dict[dimension_name] = dimension_value
 
         return data_dict