Remove unnecessary table operations

app.py

@@ -167,16 +167,6 @@ def select_columns(df: pd.DataFrame, columns: list) -> pd.DataFrame:
             unique_columns.append(c)
             seen.add(c)
 
-    # 'Model' カラムにリンクを含む形式で再構築
-    if "Model" in df.columns:
-        df["Model"] = df["Model"].apply(
-            lambda x: (
-                f'[{x.split(">")[-2].split("<")[0]}]({x.split("href=")[1].split(chr(34))[1]})'
-                if isinstance(x, str) and "href=" in x
-                else x
-            )
-        )
-
     # フィルタリングされたカラムでデータフレームを作成
     filtered_df = df[unique_columns]
     return filtered_df
@@ -278,19 +268,6 @@ initial_columns = ["T"] + [
 ]
 leaderboard_df_filtered = select_columns(leaderboard_df, initial_columns)
 
-# Model列のリンク形式を修正
-leaderboard_df_filtered["Model"] = leaderboard_df_filtered["Model"].apply(
-    lambda x: (
-        f'[{x.split(">")[-2].split("<")[0]}]({x.split("href=")[1].split(chr(34))[1]})'
-        if isinstance(x, str) and "href=" in x
-        else x
-    )
-)
-
-# 数値データを文字列に変換
-for col in leaderboard_df_filtered.columns:
-    if col not in ["T", "Model"]:
-        leaderboard_df_filtered[col] = leaderboard_df_filtered[col].astype(str)
 
 # Leaderboard demo
 

src/populate.py

@@ -36,8 +36,6 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]
 
-    df["Model"] = df["Model"].apply(lambda x: f'[{x.split("/")[-1]}]({x})' if isinstance(x, str) else x)
-
     return df