Update rsna-atd.py

rsna-atd.py

@@ -36,8 +36,10 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
                     # "test": datasets.Value("string"),
                     "patient_id": datasets.Value("int64"),
                     "series_id": datasets.Value("int64"),
-                    "image": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
-                    "mask": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
+                    "image_path": datasets.Value("string"),
+                    "mask_path": datasets.Value("string"),
+                    # "image": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
+                    # "mask": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
                     "aortic_hu": datasets.Value("float64"),
                     "incomplete_organ": datasets.Value("int64"),
                     "bowel_healthy": datasets.Value("int64"),
@@ -95,7 +97,7 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
         # return
         for idx, (image_path, mask_path) in enumerate(zip(sorted(images), sorted(masks))):
             data = df.loc[df["path"] == Path(image_path).name].to_numpy()[0]
-            image, mask = [hkl.load(image_path)], [hkl.load(mask_path)]
+            # image, mask = [hkl.load(image_path)], [hkl.load(mask_path)]
             (
                 patient_id,
                 series_id,
@@ -120,8 +122,8 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
             yield idx, {
                 "patient_id": patient_id,
                 "series_id": series_id,
-                "image": image,
-                "mask": mask,
+                "image_path": image_path,
+                "mask_path": mask_path,
                 "aortic_hu": aortic_hu,
                 "incomplete_organ": incomplete_organ,
                 "bowel_healthy": bowel_healthy,