add

app.py

@@ -1723,7 +1723,7 @@ def get_leaderboard_data(vote_entry=None, use_cache=True):
                     "Elo Score": 2,
                     "Win Rate": 2,
                     "Conversation Efficiency Index": 2,
-                    "Consistency Index": 2,
+                    "Conversation Consistency Index": 2,
                     "Bradley-Terry Coefficient": 2,
                     "Eigenvector Centrality Value": 2,
                     "Newman Modularity Score": 2,
@@ -1746,7 +1746,7 @@ def get_leaderboard_data(vote_entry=None, use_cache=True):
         return pd.DataFrame(
             columns=[
                 "Rank", "Model", "Organization", "Elo Score", "Win Rate",
-                "Conversation Efficiency Index", "Consistency Index",
+                "Conversation Efficiency Index", "Conversation Consistency Index",
                 "Bradley-Terry Coefficient", "Eigenvector Centrality Value",
                 "Newman Modularity Score", "PageRank Score",
             ]
@@ -1874,7 +1874,7 @@ def get_leaderboard_data(vote_entry=None, use_cache=True):
             "Elo Score": elo_scores.values,
             "Win Rate": avr_scores.values,
             "Conversation Efficiency Index": cei_result.values,
-            "Consistency Index": mcs_result.values,
+            "Conversation Consistency Index": mcs_result.values,
             "Bradley-Terry Coefficient": bt_scores.values,
             "Eigenvector Centrality Value": eigen_scores.values,
             "Newman Modularity Score": newman_scores.values,
@@ -2149,14 +2149,14 @@ with gr.Blocks(title="SWE-Model-Arena", theme=gr.themes.Soft()) as app:
             value=get_leaderboard_data(use_cache=True),
             select_columns=[
                 "Rank", "Model", "Organization", "Elo Score",
-                "Conversation Efficiency Index", "Consistency Index",
+                "Conversation Efficiency Index", "Conversation Consistency Index",
             ],
             search_columns=["Model"],
             filter_columns=[
                 ColumnFilter("Elo Score", min=800, max=1600, default=[800, 1600], type="slider", label="Elo Score"),
                 ColumnFilter("Win Rate", min=0, max=1, default=[0, 1], type="slider", label="Win Rate"),
                 ColumnFilter("Conversation Efficiency Index", min=0, max=1, default=[0, 1], type="slider", label="Conversation Efficiency Index"),
-                ColumnFilter("Consistency Index", min=0, max=1, default=[0, 1], type="slider", label="Consistency Index"),
+                ColumnFilter("Conversation Consistency Index", min=0, max=1, default=[0, 1], type="slider", label="Conversation Consistency Index"),
             ],
             datatype=[
                 "number", "str", "str", "number", "number", "number",