Update RDD_2020.py

RDD_2020.py

@@ -61,7 +61,7 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
                     "depth": datasets.Value("int32"),
                 }),
                 "image_path": datasets.Value("string"),
-                "pics_array": datasets.Array3D(shape=(None, None, 3), dtype="uint8"),
+                #"pics_array": datasets.Array3D(shape=(None, None, 3), dtype="uint8"),
                 "crack_type": datasets.Sequence(datasets.Value("string")),
                 "crack_coordinates": datasets.Sequence(datasets.Features({
                     "x_min": datasets.Value("int32"),
@@ -75,35 +75,36 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        """This method downloads/extracts the data and defines the splits."""
-        data_dir = dl_manager.download_and_extract(_URLS["dataset"])
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "train"),
-                    "annotations_dir": os.path.join(data_dir, "train", "annotations"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "test1"),
-                    "annotations_dir": os.path.join(data_dir, "test1", "annotations"),
-                    "split": "test1",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "test2"),
-                    "annotations_dir": os.path.join(data_dir, "test2", "annotations"),
-                    "split": "test2",
-                },
-            ),
-        ]
+    """This method downloads/extracts the data and defines the splits."""
+    data_dir = dl_manager.download_and_extract(_URLS["dataset"])
+
+    return [
+        datasets.SplitGenerator(
+            name=datasets.Split.TRAIN,
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "train"),
+                "annotations_dir": os.path.join(data_dir, "train", "annotations"),
+                "split": "train",
+            },
+        ),
+        datasets.SplitGenerator(
+            name="test1",  # Unique name for the first test split
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "test1"),
+                "annotations_dir": os.path.join(data_dir, "test1", "annotations"),
+                "split": "test1",
+            },
+        ),
+        datasets.SplitGenerator(
+            name="test2",  # Unique name for the second test split
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "test2"),
+                "annotations_dir": os.path.join(data_dir, "test2", "annotations"),
+                "split": "test2",
+            },
+        ),
+    ]
+
 
     def _generate_examples(self, images_dir, annotations_dir, split):
         """Yields examples as (key, example) tuples."""