Update app.py

app.py

@@ -65,7 +65,7 @@ def load_leaderboard_table_csv(filename, add_hyperlink=True):
 
 def get_arena_table(model_table_df):
     # sort by rating
-    model_table_df = model_table_df.sort_values(by=["Final Score"], ascending=False)
+    model_table_df = model_table_df.sort_values(by=["Average Score"], ascending=False)
     values = []
     for i in range(len(model_table_df)):
         row = []
@@ -87,23 +87,35 @@ def get_arena_table(model_table_df):
         )
 
         row.append(
-            model_table_df["Scene Text-Centric VQA"].values[model_key]
+            model_table_df["Text Referring"].values[model_key]
         )
 
         row.append(
-            model_table_df["Doc-Oriented VQA"].values[model_key]
+            model_table_df["Text Spotting"].values[model_key]
         )
 
         row.append(
-            model_table_df["KIE"].values[model_key]
+            model_table_df["Relation Extraction"].values[model_key]
         )
 
         row.append(
-            model_table_df["HMER"].values[model_key]
+            model_table_df["Element Parsing"].values[model_key]
         )
 
         row.append(
-            model_table_df["Final Score"].values[model_key]
+            model_table_df["Mathematical Calculation"].values[model_key]
+        )
+
+        row.append(
+            model_table_df["Visual Text Understanding"].values[model_key]
+        )
+
+        row.append(
+            model_table_df["Knowledge Reasoning"].values[model_key]
+        )
+        
+        row.append(
+            model_table_df["Average Score"].values[model_key]
         )
         values.append(row)
     return values
@@ -130,11 +142,14 @@ def build_leaderboard_tab(leaderboard_table_file, show_plot=False):
                         "Language Model",
                         "Open Source",
                         "Text Recognition",
-                        "Scene Text-Centric VQA",
-                        "Doc-Oriented VQA",
-                        "KIE",
-                        "HMER",
-                        "Final Score",
+                        "Text Referring",
+                        "Text Spotting",
+                        "Relation Extraction",
+                        "Element Parsing",
+                        "Mathematical Calculation",
+                        "Visual Text Understanding"
+                        "Knowledge Reasoning",
+                        "Average Score",
                     ],
                     datatype=[
                         "str",
@@ -147,11 +162,14 @@ def build_leaderboard_tab(leaderboard_table_file, show_plot=False):
                         "number",
                         "number",
                         "number",
+                        "number",
+                        "number",
+                        "number",
                     ],
                     value=arena_table_vals,
                     elem_id="arena_leaderboard_dataframe",
                     height=700,
-                    column_widths=[60, 120,150,100, 150, 200, 180, 80, 80, 160],
+                    column_widths=[60, 120,150,100, 150, 200, 180, 150, 150, 150, 80, 80, 160],
                     wrap=True,
                 )
     else: