Delete dataset.py

dataset.py

@@ -1,73 +0,0 @@
-import datasets
-import json
-
-class SchemapileConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-
-class Schemapile(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        SchemapileConfig(name="default", version=datasets.Version("1.0.0"), description="Schemapile dataset"),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="Schemapile dataset",
-            features=datasets.Features({
-                "INFO": {
-                    "URL": datasets.Value("string"),
-                    "LICENSE": datasets.Value("string"),
-                    "PERMISSIVE": datasets.Value("bool"),
-                    "ID": datasets.Value("string"),
-                    "FILENAME": datasets.Value("string"),
-                },
-                "LICENSE": datasets.Value("string"),
-                "PERMISSIVE": datasets.Value("bool"),
-                "TABLES": datasets.Sequence({
-                    "TABLE_NAME": datasets.Value("string"),
-                    "COLUMNS": datasets.Sequence({
-                        "NAME": datasets.Value("string"),
-                        "TYPE": datasets.Value("string"),
-                        "NULLABLE": datasets.Value("bool"),
-                        "UNIQUE": datasets.Value("bool"),
-                        "DEFAULT": datasets.Value("string"),
-                        "CHECKS": datasets.Sequence(datasets.Value("string")),
-                        "IS_PRIMARY": datasets.Value("bool"),
-                        "IS_INDEX": datasets.Value("bool"),
-                        "VALUES": datasets.Value("string"),
-                    }),
-                    "PRIMARY_KEYS": datasets.Sequence(datasets.Value("string")),
-                    "FOREIGN_KEYS": datasets.Sequence({
-                        "COLUMNS": datasets.Sequence(datasets.Value("string")),
-                        "FOREIGN_TABLE": datasets.Value("string"),
-                        "REFERRED_COLUMNS": datasets.Sequence(datasets.Value("string")),
-                        "ON_DELETE": datasets.Value("string"),
-                        "ON_UPDATE": datasets.Value("string"),
-                    }),
-                    "CHECKS": datasets.Sequence(datasets.Value("string")),
-                    "INDEXES": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
-                }),
-            }),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        # Support both local and remote (Hub) loading
-        data_files = self.config.data_files if hasattr(self.config, "data_files") else None
-        if data_files:
-            data_path = dl_manager.download_and_extract(data_files["train"] if isinstance(data_files, dict) else data_files)
-        else:
-            # Default to data.jsonl in repo
-            data_path = dl_manager.download_and_extract("data.jsonl")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": data_path},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                data = json.loads(line)
-                yield idx, data