fix: remove language suffix

src/populate.py

@@ -6,30 +6,6 @@ from src.display.utils import auto_eval_column_attrs
 from src.leaderboard.read_evals import get_raw_assessment_results
 
 
-def expand_multi_language_entries(df):
-    """Keep multi-language entries as single rows but create individual language columns for filtering"""
-    if df.empty or auto_eval_column_attrs.language.name not in df.columns:
-        return df
-    
-    # Get all unique individual languages
-    all_languages = set()
-    for value in df[auto_eval_column_attrs.language.name].unique():
-        if isinstance(value, str):
-            languages = [lang.strip() for lang in value.split("/")]
-            all_languages.update(languages)
-    
-    # Create individual language columns for filtering
-    for lang in sorted(all_languages):
-        if lang:  # Skip empty strings
-            safe_lang = lang.replace("+", "plus").replace("#", "sharp").replace(" ", "_").lower()
-            col_name = f"_lang_{safe_lang}"
-            df[col_name] = df[auto_eval_column_attrs.language.name].apply(
-                lambda x: lang in str(x) if x is not None else False
-            )
-    
-    return df
-
-
 def get_leaderboard_df(eval_results_path, eval_requests_path, cols, benchmark_cols):
     """Read all the runs in the folder and return a dataframe
     
@@ -50,9 +26,6 @@ def get_leaderboard_df(eval_results_path, eval_requests_path, cols, benchmark_co
             # Create dataframe from assessment results
             all_df = pd.DataFrame.from_records([r.to_dict() for r in assessment_results])
             
-            # Expand multi-language entries for OR filtering
-            all_df = expand_multi_language_entries(all_df)
-            
             # Ensure we have all the needed display columns
             all_columns = set(all_df.columns)
             for col in benchmark_cols: