Update Integration.py

Integration.py

@@ -551,39 +551,57 @@ class Euro2020Dataset(GeneratorBasedBuilder):
 
     # Increase the maximum field size limit
     #csv.field_size_limit(sys.maxsize)
+
+    def process_nested_dict(d):
+    # Recursively process a nested dictionary
+    if not isinstance(d, dict):
+        return d
     
+    processed_dict = {}
+    for key, value in d.items():
+        if isinstance(value, dict):
+            processed_dict[key] = process_nested_dict(value)
+        else:
+            processed_dict[key] = value
+    return processed_dict
+
     def _generate_examples(self, filepath):
        
         table = pq.read_table(filepath)
         df = table.to_pandas()
         #df = pd.read_parquet(filepath)
         for id, row in df.iterrows():
-            MatchEvent_dict, TeamLineUps_dict, TeamStats_dict, PlayerStats_dict, PlayerPreMatchInfo_dict = {}, {}, {}, {}, {}
+            MatchEvent_dict = process_nested_dict(row.get("MatchEvent", {}))
+            TeamLineUps_dict = process_nested_dict(row.get("TeamLineUps", {}))
+            TeamStats_dict = process_nested_dict(row.get("TeamStats", {}))
+            PlayerStats_dict = process_nested_dict(row.get("PlayerStats", {}))
+            PlayerPreMatchInfo_dict = process_nested_dict(row.get("PlayerPreMatchInfo", {}))
+            #MatchEvent_dict, TeamLineUps_dict, TeamStats_dict, PlayerStats_dict, PlayerPreMatchInfo_dict = {}, {}, {}, {}, {}
 
-            if row.get("MatchEvent",{}) is not None:
-                MatchEvent = row.get("MatchEvent",{})
-                for key in MatchEvent.keys():
-                    MatchEvent_dict[key] = MatchEvent[key]
+            #if row.get("MatchEvent",{}) is not None:
+                #MatchEvent = row.get("MatchEvent",{})
+                #for key in MatchEvent.keys():
+                    #MatchEvent_dict[key] = MatchEvent[key]
         
-            if row.get("TeamLineUps",{}) is not None:
-                TeamLineUps = row.get("TeamLineUps",{})
-                for key in TeamLineUps.keys():
-                    TeamLineUps_dict[key] = TeamLineUps[key]
+            #if row.get("TeamLineUps",{}) is not None:
+                #TeamLineUps = row.get("TeamLineUps",{})
+                #for key in TeamLineUps.keys():
+                    #TeamLineUps_dict[key] = TeamLineUps[key]
         
-            if row.get("TeamStats",{}) is not None:
-                TeamStats = row.get("TeamStats",{})
-                for key in TeamStats.keys():
-                    TeamStats_dict[key] = TeamStats[key]
+            #if row.get("TeamStats",{}) is not None:
+                #TeamStats = row.get("TeamStats",{})
+                #for key in TeamStats.keys():
+                    #TeamStats_dict[key] = TeamStats[key]
 
-            if row.get("PlayerStats",{}) is not None:
-                PlayerStats = row.get("PlayerStats",{})
-                for key in PlayerStats.keys():
-                    PlayerStats_dict[key] = PlayerStats[key]
+            #if row.get("PlayerStats",{}) is not None:
+                #PlayerStats = row.get("PlayerStats",{})
+                #for key in PlayerStats.keys():
+                    #PlayerStats_dict[key] = PlayerStats[key]
 
-            if row.get("PlayerPreMatchInfo",{}) is not None:
-                PlayerPreMatchInfo = row.get("PlayerPreMatchInfo",{})
-                for key in PlayerPreMatchInfo.keys():
-                    PlayerPreMatchInfo_dict[key] = PlayerPreMatchInfo[key]
+            #if row.get("PlayerPreMatchInfo",{}) is not None:
+                #PlayerPreMatchInfo = row.get("PlayerPreMatchInfo",{})
+                #for key in PlayerPreMatchInfo.keys():
+                    #PlayerPreMatchInfo_dict[key] = PlayerPreMatchInfo[key]
             
         #'id' here is the index of the row in the DataFrame
         #'row' is a Pandas Series object representing the row data