Update test_dataset.py

test_dataset.py

@@ -100,21 +100,27 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         with open(csvpath, encoding="utf-8") as f:
             reader = csv.DictReader(f)  
             for key, row in enumerate(reader):
+                year = int(row['Year']) if 'Year' in row else None
+                if 'Geolocation' in row and isinstance(row['Geolocation'], str):
+                    geo_str = row['Geolocation'].replace('(', '').replace(')', '')
+                    latitude, longitude = map(float, geo_str.split(', '))
+                else:
+                    latitude, longitude = None, None 
                 yield key, {
-                    "Year": int(row["Year"]),
-                    "Location_Abbr": row["LocationAbbr"],
-                    "Location_Desc": row["LocationDesc"],
+                    "Year": year,
+                    "Location_Abbr": row.get('LocationAbbr', None),
+                    "Location_Desc": row.get('LocationDesc', None), 
                     "Geolocation": {
-                        "latitude": float(row["latitude"]),
-                        "longitude": float(row["longitude"])
+                        "latitude": latitude,
+                        "longitude": longitude
                     },
-                    "Disease_Type": int(row["Disease_Type"]),
-                    "Data_Value_Type": int(row["Data_Value_Type"]),
-                    "Data_Value": float(row["Data_Value"]),
-                    "Break_Out_Category": row["Break_Out_Category"],
-                    "Break_Out_Details": row["Break_Out_Details"],
-                    "Break_Out_Type": int(row["Break_Out_Type"]),
-                    "Life_Expectancy": float(row["Life_Expectancy"]) if row["Life_Expectancy"] else None
+                    "Disease_Type": int(row["Disease_Type"]) if "Disease_Type" in row else None,
+                    "Data_Value_Type": int(row["Data_Value_Type"]) if "Data_Value_Type" in row else None,
+                    "Data_Value": float(row["Data_Value"]) if "Data_Value" in row else None,
+                    "Break_Out_Category": row.get("Break_Out_Category", None),
+                    "Break_Out_Details": row.get("Break_Out_Details", None),
+                    "Break_Out_Type": int(row["Break_Out_Type"]) if 'Break_Out_Type' in row else None,
+                    "Life_Expectancy": float(row["Life_Expectancy"]) if row.get("Life_Expectancy") else None
                 }
       
     @staticmethod