Update rsna-atd.py

rsna-atd.py

@@ -2,6 +2,7 @@ import datasets
 import numpy as np
 import pandas as pd
 import hickle as hkl
+from pathlib import Path
 
 _CITATION = """\
 @InProceedings{huggingface:dataset,
@@ -62,7 +63,7 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         train_images = dl_manager.download_and_extract(f"{_DATA}images.tar.gz")
-        train_masks = dl_manager.download(f"{_DATA}masks.tar.gz")
+        train_masks = dl_manager.download_and_extract(f"{_DATA}masks.tar.gz")
 
         metadata = dl_manager.download(f"{_DATA}metadata.csv")
         train_images = dl_manager.iter_archive(train_images)
@@ -81,16 +82,19 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, images, masks, metadata):
         df = pd.read_csv(metadata)
-        yield 0, {
-                "test": images
-            }
-        return
+        # yield 0, {
+        #         "test": images
+        #     }
+        # return
         for i, image in enumerate(images):
+            image_path = Path(image_path).name
+            test = hkl.load(image_path)
             yield i, {
-                "test": image
+                "test": image_path
             }
         return
-        for idx, (data, (image_path, image_obj), (mask_path, mask_obj)) in enumerate(zip(df.to_numpy(), images, masks)):
+        for idx, (data, (image_path), (mask_path)) in enumerate(zip(df.to_numpy(), images, masks)):
+            image_path = Path(image_path)
             image, mask = [hkl.load(image_obj)], [hkl.load(mask_obj)]
             (
                 patient_id,