Delete dataset_infos.py

dataset_infos.py

@@ -1,55 +0,0 @@
-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()