Update test_dataset.py

test_dataset.py

@@ -62,7 +62,7 @@ class HealthStatisticsDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data = pd.read_csv(dl_manager.download_and_extract("https://drive.google.com/file/d/1ktRNl7jg0Z83rkymD9gcsGLdVqVaFtd-/view?usp=drive_link"))
+        data = pd.read_csv(dl_manager.download_and_extract("https://docs.google.com/uc?export=download&id=1eChYmZ3RMq1v-ek1u6DD2m_dGIrz3sbi&confirm=t"))
         processed_data = self.preprocess_data(data)
         return [
             datasets.SplitGenerator(
@@ -98,7 +98,7 @@ class HealthStatisticsDataset(datasets.GeneratorBasedBuilder):
 
     @staticmethod
     def preprocess_data(data):
-        data = pd.read_csv("https://drive.google.com/file/d/1ktRNl7jg0Z83rkymD9gcsGLdVqVaFtd-/view?usp=drive_link")
+        data = pd.read_csv("https://docs.google.com/uc?export=download&id=1eChYmZ3RMq1v-ek1u6DD2m_dGIrz3sbi&confirm=t")
         data = data[['YearStart', 'LocationAbbr', 'LocationDesc', 'Geolocation', 'Topic', 'Question', 'Data_Value_Type', 'Data_Value', 'Data_Value_Alt', 
                      'Low_Confidence_Limit', 'High_Confidence_Limit', 'Break_Out_Category', 'Break_Out']]
         def convert_to_tuple(geo_str):
@@ -149,22 +149,22 @@ class HealthStatisticsDataset(datasets.GeneratorBasedBuilder):
         data.rename(columns={'Question':'Disease_Type', 'YearStart':'Year', 'Break_Out':'Break_Out_Details'}, inplace=True)
         data['Break_Out_Type'] = data['Break_Out_Type'].replace('Overall', 0)
       
-        lt2000 = pd.read_csv("https://drive.google.com/file/d/1ktRNl7jg0Z83rkymD9gcsGLdVqVaFtd-/view?usp=drive_link")
+        lt2000 = pd.read_csv("https://docs.google.com/uc?export=download&id=1ktRNl7jg0Z83rkymD9gcsGLdVqVaFtd-&confirm=t")
         lt2000 = lt2000[(lt2000['race_name'] == 'Total') & (lt2000['age_name'] == '<1 year')]
         lt2000 = lt2000[['location_name', 'val']]
         lt2000.rename(columns={'val':'Life_Expectancy'}, inplace=True)
       
-        lt2005 = pd.read_csv("https://drive.google.com/file/d/1xZqeOgj32-BkOhDTZVc4k_tp1ddnOEh7/view?usp=drive_link")
+        lt2005 = pd.read_csv("https://docs.google.com/uc?export=download&id=1xZqeOgj32-BkOhDTZVc4k_tp1ddnOEh7&confirm=t")
         lt2005 = lt2005[(lt2005['race_name'] == 'Total') & (lt2005['age_name'] == '<1 year')]
         lt2005 = lt2005[['location_name', 'val']]
         lt2005.rename(columns={'val':'Life_Expectancy'}, inplace=True)
       
-        lt2010 = pd.read_csv("https://drive.google.com/file/d/1ItqHBuuUa38PVytfahaAV8NWwbhHMMg8/view?usp=drive_link")
+        lt2010 = pd.read_csv("https://docs.google.com/uc?export=download&id=1ItqHBuuUa38PVytfahaAV8NWwbhHMMg8&confirm=t")
         lt2010 = lt2010[(lt2010['race_name'] == 'Total') & (lt2010['age_name'] == '<1 year')]
         lt2010 = lt2010[['location_name', 'val']]
         lt2010.rename(columns={'val':'Life_Expectancy'}, inplace=True)
       
-        lt2015 = pd.read_csv("https://drive.google.com/file/d/1rOgQY1RQiry2ionTKM_UWgT8cYD2E0vX/view?usp=drive_link")
+        lt2015 = pd.read_csv("https://docs.google.com/uc?export=download&id=1rOgQY1RQiry2ionTKM_UWgT8cYD2E0vX&confirm=t")
         lt2015 = lt2015[(lt2015['race_name'] == 'Total') & (lt2015['age_name'] == '<1 year')]
         lt2015 = lt2015[['location_name', 'val']]
         lt2015.rename(columns={'val':'Life_Expectancy'}, inplace=True)