test

app.py

@@ -12,11 +12,11 @@ abs_path = Path(__file__).parent
 leaderboard_df = jsonl_to_dataframe(str(abs_path / "leaderboard_data.jsonl"))
 
 
-all_columns = ["Model", "Average ⬆️", "Precision", "#Params (B)", "Part Multiple Choice", "ARC Easy", "ARC Challenge", "MMLU Pro", "GSM8k Persian", "Multiple Choice Persian"]
+all_columns = ["Model", "Average Accuracy", "Precision", "#Params (B)", "Part Multiple Choice", "ARC Easy", "ARC Challenge", "MMLU Pro", "GSM8k Persian", "Multiple Choice Persian"]
 columns_to_average = ["Part Multiple Choice", "ARC Easy", "ARC Challenge", "MMLU Pro", "GSM8k Persian", "Multiple Choice Persian"]
 
 
-leaderboard_df = add_average_column_to_df(leaderboard_df, columns_to_average, index=3)
+leaderboard_df = add_average_column_to_df(leaderboard_df, columns_to_average, index=3, average_column_name="Average Accuracy")
 
 leaderboard_df = apply_markdown_format_for_columns(df=leaderboard_df, model_column_name="Model")
 

utils.py

@@ -177,6 +177,7 @@ PART_LOGO = """
 <h1 style="font-size: 28px; margin-bottom: 2px;">Part DP AI</h1>
 """
 
+
 def load_jsonl(input_file):
     data = []
     with open(input_file, 'r') as f:
@@ -190,9 +191,9 @@ def jsonl_to_dataframe(input_file):
     return pd.DataFrame(data)
 
 
-def add_average_column_to_df(df,columns_to_average, index=3):
+def add_average_column_to_df(df,columns_to_average, index=3, average_column_name="Average Accuracy"):
     average_column = df[columns_to_average].mean(axis=1)
-    df.insert(index, "Average ⬆️", average_column)
+    df.insert(index, average_column_name, average_column)
     return df