adding dataset changes

app.py

@@ -33,7 +33,7 @@ scheduler = CommitScheduler(
     repo_type="dataset",
     folder_path=PREDICTIONS_FOLDER,  # Local folder where predictions are saved temporarily
     path_in_repo="predictions",  # Path in dataset repo where predictions will be saved
-    every=5,  # Push every 240 minutes (4 hours)
+    every=10,  # Push every 240 minutes (4 hours)
 )
 
 # Initialize CommitScheduler
@@ -42,7 +42,7 @@ scheduler = CommitScheduler(
     repo_type="dataset",
     folder_path=USERS_FOLDER,  # Local folder where users are saved temporarily
     path_in_repo="leaders",  # Path in dataset repo where predictions will be saved
-    every=5,  # Push every 240 minutes (4 hours)
+    every=10,  # Push every 240 minutes (4 hours)
 )
 
 
@@ -347,11 +347,8 @@ with st.expander("Leaderboard 🏆"):
 ############################# Admin Panel ##################################
 ADMIN_PASSPHRASE = "admin123"
 
-def load_dataset_repo():
-    return load_dataset("Jay-Rajput/DIS_IPL_Dataset")
-
 def fetch_latest_predictions(match_id):
-    dataset = load_dataset_repo()
+    dataset = load_dataset("Jay-Rajput/DIS_IPL_Dataset", config_name="predictions")
     predictions = dataset['train'].filter(lambda example: example['match_id'] == match_id)
     return predictions
 
@@ -367,7 +364,7 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match):
     
     outcomes = load_data(OUTCOMES_JSON)  # Load existing match outcomes
     # Load existing match outcomes and user data from the test split
-    dataset = load_dataset_repo()
+    dataset = load_dataset("Jay-Rajput/DIS_IPL_Dataset", config_name="leaders")
     users = {item['user_name']: item for item in dataset['test']}
 
     # Directly update or add the match outcome

matches.json

@@ -36,7 +36,7 @@
     },
     {
         "match_id": "20240325_6",
-        "date": "2024-03-25",
+        "date": "2024-03-26",
         "time": "7:30 PM",
         "teams": ["RCB", "PBKS"],
         "venue": "Bengaluru"