Create utm_dataset.py

utm_dataset.py

@@ -0,0 +1,51 @@
+import os
+from datasets import DatasetInfo, Features, ClassLabel, Image, GeneratorBasedBuilder, Split
+
+class UTM_Dataset(GeneratorBasedBuilder):
+    """UTM Dataset organized in train/validation/test splits with subfolders as classes."""
+
+    VERSION = "1.0.0"
+
+    def _info(self):
+        """Returns the dataset metadata, features, and supervised keys."""
+        return DatasetInfo(
+            description="UTM Dataset organized in train/validation/test with subfolders as classes",
+            features=Features(
+                {
+                    "image": Image(),  # images
+                    "label": ClassLabel(names=self._get_class_names())  # labels from subfolder names
+                }
+            ),
+            supervised_keys=("image", "label"),
+        )
+
+    def _get_class_names(self):
+        """Get class names from the train folder subdirectories."""
+        train_dir = os.path.join(self.config.data_dir, "train")
+        return sorted(
+            [d for d in os.listdir(train_dir) if os.path.isdir(os.path.join(train_dir, d))]
+        )
+
+    def _split_generators(self, dl_manager):
+        """Defines the splits and their corresponding folders."""
+        data_dir = self.config.data_dir
+
+        return [
+            Split.TRAIN: self._generate_examples(os.path.join(data_dir, "train")),
+            Split.VALIDATION: self._generate_examples(os.path.join(data_dir, "validation")),
+            Split.TEST: self._generate_examples(os.path.join(data_dir, "test")),
+        ]
+
+    def _generate_examples(self, path):
+        """Yields (id, example) tuples for each image in the folder."""
+        for class_name in sorted(os.listdir(path)):
+            class_dir = os.path.join(path, class_name)
+            if not os.path.isdir(class_dir):
+                continue
+            for fname in sorted(os.listdir(class_dir)):
+                if fname.lower().endswith((".png", ".jpg", ".jpeg")):
+                    # Unique id for each example
+                    yield f"{class_name}_{fname}", {
+                        "image": os.path.join(class_dir, fname),
+                        "label": class_name,
+                    }