Update test_dataset.py

test_dataset.py

@@ -28,7 +28,8 @@ class HealthStatisticsDataset(datasets.GeneratorBasedBuilder):
                     "Year": datasets.Value("int32"),
                     "LocationAbbr": datasets.Value("string"),
                     "LocationDesc": datasets.Value("string"),
-                    "Geolocation": datasets.Features({"latitude": datasets.Value("float32"), "longitude": datasets.Value("float32")}),
+                    "Latitude": datasets.Value("float32"),
+                    "Longitude": datasets.Value("float32"),
                     "Disease_Type": datasets.Value("int32"),
                     "Data_Value_Type": datasets.Value("int32"),
                     "Data_Value": datasets.Value("float32"),
@@ -65,10 +66,8 @@ class HealthStatisticsDataset(datasets.GeneratorBasedBuilder):
                 "Year": year,
                 "LocationAbbr": row.get('LocationAbbr', None),
                 "LocationDesc": row.get('LocationDesc', None), 
-                "Geolocation": {
-                    "latitude": latitude,
-                    "longitude": longitude
-                },
+                "Latitude": latitude,
+                "Longitude": longitude,
                 "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,
@@ -155,4 +154,4 @@ class HealthStatisticsDataset(datasets.GeneratorBasedBuilder):
         data2.rename(columns={'Question':'Disease_Type'}, inplace=True)
         data2['Life_Expectancy'] = np.where(data2['Break_Out_Type'] == 0, data2['Life_Expectancy'], np.nan)
         data2 = data2.reset_index(drop=True)
-        return data2
+        return data2