Update space1

src/populate.py

@@ -2,7 +2,7 @@ import json
 import os
 
 import pandas as pd
-
+import numpy as np
 from src.display.formatting import has_no_nan_values, make_clickable_model
 from src.display.utils import AutoEvalColumn, EvalQueueColumn
 from src.leaderboard.read_evals import get_raw_eval_results
@@ -15,13 +15,16 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     print(all_data_json)
     df = pd.DataFrame.from_records(all_data_json)
     print(df)
+    df["Precision (%)"] = df["Precision (%)"].apply(lambda x: x[0] if len(x) > 0 else np.nan)
+    df["Title search rate (%)"] = df["Title search rate (%)"].apply(lambda x: x[0] if len(x) > 0 else np.nan)
     df = df.sort_values(by=["Precision (%)"], ascending=False)
 
+
     # 假设用 Precision (%) 和 Title search rate (%) 的平均值
-    df["Average ⬆️"] = df[["Precision (%)", "Title search rate (%)"]].mean(axis=1)
+    df["Average"] = df[["Precision (%)", "Title search rate (%)"]].mean(axis=1)
 
-    # 然后排序
-    df = df.sort_values(by=["Average ⬆️"], ascending=False)
+    # # 然后排序
+    df = df.sort_values(by=["Average"], ascending=False)
 
     # 再保留需要显示的列
     cols = [c for c in cols if c in df.columns]