correcting the release date of the new ranking

scripts/update_tools_accuracy.py

@@ -32,8 +32,16 @@ def update_tools_accuracy_same_model(
     ).astype(int)
     tools_non_error.columns = tools_non_error.columns.astype(str)
 
-    wins = tools_non_error.groupby(["tool", "win"]).size().unstack().fillna(0)
-    wins["tool_accuracy"] = (wins[1] / (wins[0] + wins[1])) * 100
+    # Modify the wins calculation to handle missing win categories
+    wins = tools_non_error.groupby(["tool", "win"]).size().unstack(fill_value=0)
+
+    # Ensure both 0 and 1 columns exist
+    if 0 not in wins.columns:
+        wins[0] = 0
+    if 1 not in wins.columns:
+        wins[1] = 0
+
+    wins["tool_accuracy"] = (wins[1] / (wins[0] + wins[1])).fillna(0) * 100
     wins.reset_index(inplace=True)
     wins["total_requests"] = wins[0] + wins[1]
     wins.columns = wins.columns.astype(str)
@@ -131,13 +139,13 @@ def update_tools_accuracy(
 ) -> pd.DataFrame:
     """To compute/update the latest accuracy information for the different mech tools but splitting by date 23rd of May 2025"""
 
-    # to compute the accuracy information up to the 23rd of May 2025
+    # to compute the accuracy information up to the 3rd of June
     tools_df["request_time"] = pd.to_datetime(tools_df["request_time"])
     tools_df["request_date"] = tools_df["request_time"].dt.date
     tools_df["request_date"] = pd.to_datetime(tools_df["request_date"])
     tools_df["request_date"] = tools_df["request_date"].dt.strftime("%Y-%m-%d")
-    # split the data into two parts: before and after 23rd of May 2025
-    split_date = pd.to_datetime("2025-05-23").tz_localize("UTC")
+    # split the data into two parts: before and after the 3rd of June
+    split_date = pd.to_datetime("2025-06-03").tz_localize("UTC")
     before_split = tools_df[tools_df["request_time"] < split_date]
     after_split = tools_df[tools_df["request_time"] >= split_date]
     print(f"Number of requests before {split_date}: {len(before_split)}")

tools_accuracy.csv

@@ -1,13 +1,13 @@
 tool,tool_accuracy,total_requests,min,max
-claude-prediction-offline,73.50130832328816,301,2025-05-25 10:30:10,2025-05-28 17:10:50
-claude-prediction-online,74.41176470588236,300,2025-05-25 00:00:15,2025-05-28 18:47:35
-prediction-offline,62.607408350335504,63315,2025-05-23 00:00:00,2025-06-02 23:38:25
-prediction-offline-sme,72.64971714675856,455,2025-05-23 06:29:10,2025-06-01 07:02:00
-prediction-online,59.56967257643545,2458,2025-05-23 00:10:05,2025-06-02 23:10:05
-prediction-online-sme,57.472765945033444,2441,2025-05-23 00:23:15,2025-06-02 22:36:55
-prediction-request-rag,79.09967845659165,300,2025-05-25 14:16:25,2025-05-28 15:37:10
-prediction-request-rag-claude,75.78289331419921,301,2025-05-25 13:21:55,2025-05-28 13:30:50
-prediction-request-reasoning,54.93694559440606,13516,2025-05-23 00:01:15,2025-06-02 23:19:40
-prediction-request-reasoning-claude,78.66951901180043,301,2025-05-25 13:48:00,2025-05-28 12:25:10
-prediction-url-cot-claude,72.86135693215338,300,2025-05-25 00:12:40,2025-05-28 15:21:20
-superforcaster,65.58770834464413,1130,2025-05-23 00:21:15,2025-06-02 21:40:15
+claude-prediction-offline,58.16137739988474,98911,2025-04-02 05:16:45,2025-05-28 03:56:15
+claude-prediction-online,60.45149131432317,48816,2025-04-02 00:01:00,2025-05-21 18:47:35
+prediction-offline,57.25305077475218,515197,2025-04-02 00:00:05,2025-06-02 23:38:25
+prediction-offline-sme,56.91160809371672,4695,2025-04-02 00:57:25,2025-06-01 07:02:00
+prediction-online,48.791164658634536,24900,2025-04-02 07:32:50,2025-06-02 23:10:05
+prediction-online-sme,49.207660533233195,13315,2025-04-02 07:33:25,2025-06-02 22:36:55
+prediction-request-rag,44.9438202247191,356,2025-04-02 14:01:55,2025-05-20 15:37:10
+prediction-request-rag-claude,49.13151364764268,403,2025-04-02 12:05:10,2025-05-27 18:42:00
+prediction-request-reasoning,52.46685168054271,220524,2025-04-02 07:03:25,2025-06-02 23:19:40
+prediction-request-reasoning-claude,62.76923076923077,325,2025-04-02 12:25:50,2025-05-28 09:25:40
+prediction-url-cot-claude,57.18562874251497,1336,2025-04-02 05:46:40,2025-05-20 15:21:20
+superforcaster,53.940940576011656,27430,2025-04-02 00:02:10,2025-06-02 21:40:15