cjj-table

app.py

@@ -299,9 +299,12 @@ This leaderboard is used to show the performance of the <strong>automatic evalua
             overall_total[k] += df[average_index][k]
 
     df["Average (all 4 datatsets)"] = [k / len(task) for k in overall_total]
+    
+    df = pd.DataFrame(df)
     for col in df.select_dtypes(include=['float64', 'int64']).columns:
         df[col] = df[col].apply(lambda x: f"{x:.4f}")
-    st.dataframe(pd.DataFrame(df))
+    st.dataframe(df)
+
     st.markdown("A baseline example can be found in the [baseline_example](https://huggingface.co/spaces/THUIR/AEOLLM/tree/main/baseline_example) folder.")
     # 获取北京时间
     time_placeholder = st.empty()