Create datasets_infos.json

datasets_infos.json

@@ -0,0 +1,55 @@
+import json
+import datasets
+
+# Baca metadata dari file JSON
+with open("notes.json", "r") as json_file:
+    metadata = json.load(json_file)
+
+# Konfigurasi dataset
+class CustomDatasetConfig(datasets.BuilderConfig):
+    def __init__(self, metadata, **kwargs):
+        super(CustomDatasetConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.metadata = metadata
+
+# Kelas untuk membangun dataset
+class CustomDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        CustomDatasetConfig(metadata=metadata),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "image_id": datasets.Value("int64"),
+                "image": datasets.Image(),
+                "label": datasets.ClassLabel(names=self.config.metadata["classes"]),
+            }
+        )
+        return datasets.DatasetInfo(
+            features=features,
+            description=self.config.metadata["description"],
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data": self.config.metadata["data"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data):
+        for item in data:
+            yield item["image_id"], {
+                "image_id": item["image_id"],
+                "image": {"path": item["image_path"]},
+                "label": item["label"],
+            }
+
+# Usage example
+builder = CustomDataset()
+info = builder.info
+dataset = builder.as_dataset()