Update NYC_Motor_Vehicle_Collisions_and_Weather_Dataset.py

NYC_Motor_Vehicle_Collisions_and_Weather_Dataset.py

@@ -10,7 +10,7 @@ from botocore import UNSIGNED
 _CITATION = """\
 @misc{ny_motor_vehicle_collisions_weather_dataset,
   title={New York City Motor Vehicle Collisions and Weather Dataset},
-  author={XX103},
+  author={Xingzhi Xie},
   year={2024},
   url={https://huggingface.co/datasets/xx103/NYC_Motor_Vehicle_Collisions_and_Weather_Dataset},
 }
@@ -26,6 +26,12 @@ _HOMEPAGE = "https://huggingface.co/datasets/xx103/NYC_Motor_Vehicle_Collisions_
 
 _LICENSE = "Apache License 2.0"
 
+# The dataset is stored in AWS S3 bucket
+_BUCKET_NAME = 'sta663data1'
+_FILE_KEY = 'NYC_Motor_Vehicle_Collisions_and_Weather_Dataset.json'
+_LOCAL_FILE_NAME = 'NYC_Motor_Vehicle_Collisions_and_Weather_Dataset.json'
+
+
 class NYCMotorVehicleCollisionsWeatherDataset(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
 
@@ -59,13 +65,7 @@ class NYCMotorVehicleCollisionsWeatherDataset(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         s3 = boto3.client('s3', config=Config(signature_version=UNSIGNED))
-
-        bucket_name = 'sta663data1'
-        file_key = 'NYC_Motor_Vehicle_Collisions_and_Weather_Dataset.json'
-        local_file_name = 'NYC_Motor_Vehicle_Collisions_and_Weather_Dataset.json'
-        
-        s3.download_file(bucket_name, file_key, local_file_name)
-
+        s3.download_file(_BUCKET_NAME, _FILE_KEY, _LOCAL_FILE_NAME)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,