Add logger

NIH-Chest-X-ray-dataset.py

@@ -5,6 +5,8 @@ from datasets.tasks import ImageClassification
 
 from requests import get
 
+logger = datasets.logging.get_logger(__name__)
+
 
 _HOMEPAGE = "https://nihcc.app.box.com/v/ChestXray-NIHCC"
 
@@ -92,9 +94,10 @@ class XChest(datasets.GeneratorBasedBuilder):
 
 	def _split_generators(self, dl_manager):
 		# Get the image names that belong to the train-val dataset
+		logger.info("Downloading the train_val_list image names")
 		train_val_list = get(_URLS['train_val_list']).iter_lines()
 		train_val_list = set([x.decode('UTF8') for x in train_val_list])
-		print(train_val_list)
+		logger.info(f"Check train_val_list: {train_val_llist}")
 
 		# Create list for store the name of the images for each dataset
 		train_files = []
@@ -106,6 +109,7 @@ class XChest(datasets.GeneratorBasedBuilder):
 		# Iterate trought image folder and check if they belong to
 		# the trainset or testset
 		for batch in data_files:
+		  logger.info(f"Batch for data_files: {batch}")
 		  for img in dl_manager.download_and_extract(batch):
 		    if img in train_val_list:
 		      train_files.append(img)