Update LILA.py

LILA.py

@@ -106,43 +106,42 @@ class LILA(datasets.GeneratorBasedBuilder):
         # TODO: Use ClassLabel for categories...
         # TODO: Deal with 404s -> In my manual preprocessing, or in the datasets library?
 
-        match self.config.name:
-            case 'Caltech Camera Traps':
-                return datasets.Features({
-                    "id": datasets.Value("string"), "file_name": datasets.Value("string"),
-                    "width": datasets.Value("int32"), "height": datasets.Value("int32"),
-                    "seq_num_frames": datasets.Value("int32"),
-                    "date_captured": datasets.Value("date32"),
-                    "seq_id": datasets.Value("string"),
-                    "location": datasets.Value("string"),
-                    "rights_holder": datasets.Value("string"),
-                    "frame_num": datasets.Value("int32"),
-
-
-                    "annotations": datasets.Sequence({
-                        "id": datasets.Value("string"),
-                        "category_id": datasets.Value("int32"),
-                    }),
-
-                    "bboxes": datasets.Sequence({
-                        "id": datasets.Value("string"),
-                        "category_id": datasets.Value("int32"),
-                        "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
-                    }),
-
-                    "image": datasets.Image(decode=False),
-                })
-            case 'ENA24':
-                return datasets.Features({
-                    "id": datasets.Value("string"), "file_name": datasets.Value("string"),
-                    "width": datasets.Value("int32"), "height": datasets.Value("int32"),
-                    "annotations": datasets.Sequence({
-                        "id": datasets.Value("string"),
-                        "category_id": datasets.Value("int32"),
-                        "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
-                    }),
-                    "image": datasets.Image(decode=False),
-                })
+        if self.config.name == 'Caltech Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "seq_num_frames": datasets.Value("int32"),
+                "date_captured": datasets.Value("date32"),
+                "seq_id": datasets.Value("string"),
+                "location": datasets.Value("string"),
+                "rights_holder": datasets.Value("string"),
+                "frame_num": datasets.Value("int32"),
+
+
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                }),
+
+                "bboxes": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'ENA24':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
 
     def _info(self):
         features = self._get_features()