cjj-table

app.py

@@ -299,8 +299,9 @@ 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]
-
-    st.dataframe(pd.DataFrame(df), use_container_width=True)
+    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.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()