feat: DS4 and better infos

ornithoscope.py

@@ -90,7 +90,6 @@ class OrnithoscopeConfig(datasets.BuilderConfig):
 
     def __init__(
         self,
-        classes: list[str],
         train_json: str,
         validation_json: str,
         test_json: str,
@@ -106,11 +105,27 @@ class OrnithoscopeConfig(datasets.BuilderConfig):
             **kwargs: keyword arguments forwarded to super.
         """
         super().__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.classes = classes
+        self.classes = self._get_classes([
+            train_json,
+            validation_json,
+            test_json,
+        ])
         self.train_json = train_json
         self.validation_json = validation_json
         self.test_json = test_json
 
+    def _get_classes(self, paths: list[str]) -> list[str]:
+        """Get the classes from the paths."""
+        classes = []
+        for path in paths:
+            with open(path, 'r') as f:
+                file = json.load(f)
+                for value in file.values():
+                    for box in value['boxes']:
+                        if box['label'] not in classes:
+                            classes.append(box['label'])
+        return classes
+
 
 class Ornithoscope(datasets.GeneratorBasedBuilder):
 
@@ -119,28 +134,43 @@ class Ornithoscope(datasets.GeneratorBasedBuilder):
         OrnithoscopeConfig(
             name="DS3",
             description="The main dataset.",
-            classes=[],  # TODO
             train_json="sets/DS3_train.json",
             validation_json="sets/DS3_val.json",
             test_json="sets/DS3_test.json",
         ),
+        OrnithoscopeConfig(
+            name="DS4",
+            description="The new dataset.",
+            train_json="sets/DS4_train.json",
+            validation_json="sets/DS4_val.json",
+            test_json="sets/DS4_test.json",
+        ),
     ]
 
     def _info(self) -> datasets.DatasetInfo:
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
-            # features=datasets.Features(
-            #     {
-            #         "image": datasets.Image(),
-            #         "label": datasets.ClassLabel(names=self.config.classes),
-            #     }
-            # ),
+            features=datasets.Features(
+                {
+                    "id_path": datasets.Value("string"),
+                    "path": datasets.Value("string"),
+                    "boxes": datasets.Sequence(
+                        {
+                            "label": datasets.Value("string"),
+                            "xmin": datasets.Value("float32"),
+                            "xmax": datasets.Value("float32"),
+                            "ymin": datasets.Value("float32"),
+                            "ymax": datasets.Value("float32"),
+                        }
+                    ),
+                    "size": {
+                        "width": datasets.Value("int32"),
+                        "height": datasets.Value("int32"),
+                    },
+                },
+            ),
             homepage=_HOMEPAGE,
             citation=_CITATION,
-            # task_templates=[ImageClassification(
-            #     image_column="image",
-            #     label_column="label",
-            # )],
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> list[datasets.SplitGenerator]: