Fixed DATA_DIR

AeroPath.py

@@ -82,10 +82,10 @@ class AeroPath(datasets.GeneratorBasedBuilder):
 
     DEFAULT_CONFIG_NAME = "zenodo"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
-    self.data_dir = None
+    DATA_DIR = None
 
     def get_data_paths(self):
-        return
+        return DATA_DIR
 
     def get_patient(self, patient_id):
         if (patient_id < 1) or (patiend_id > 27):
@@ -122,7 +122,7 @@ class AeroPath(datasets.GeneratorBasedBuilder):
         )
 
     def get_data_dir(self):
-        return self.data_dir
+        return DATA_DIR
     
     def _split_generators(self, dl_manager):
         # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
@@ -132,9 +132,9 @@ class AeroPath(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         urls = _URLS[self.config.name]
-        self.data_dir = dl_manager.download_and_extract(urls)
+        DATA_DIR = dl_manager.download_and_extract(urls)
 
-        print("data_dir:", self.data_dir)
+        print("data is downloaded to:", DATA_DIR)
 
         return [
             datasets.SplitGenerator(
@@ -150,8 +150,8 @@ class AeroPath(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, split):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        for patient_id in os.listdir(self.data_dir):
-            curr_path = os.path.join(self.data_dir, patient_id)
+        for patient_id in os.listdir(DATA_DIR):
+            curr_path = os.path.join(DATA_DIR, patient_id)
             yield patient_id, {
                 "ct": os.path.join(curr_path, patient_id, "_CT_HR.nii.gz"),
                 "airways": os.path.join(curr_path, patient_id, "_CT_HR_label_airways.nii.gz"),