Delete files lb_data_test/ with huggingface_hub

lb_data_test/lb_data_test.py

@@ -1,79 +0,0 @@
-from typing import Tuple
-from typing import Generator
-
-import datasets
-from datasets import Value
-
-_DESCRIPTION = """\
-...
-"""
-
-_URL = "..."
-
-
-class LaboASRConfig(datasets.BuilderConfig):
-
-    def __init__(
-        self,
-        do_stuff: bool = False,
-        **kwargs,
-    ):
-        super(LaboASRConfig, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs)
-        self.do_stuff = do_stuff
-
-
-class LaboASR(datasets.GeneratorBasedBuilder):
-
-    CORTI_DATASET_NAME = "labo"
-    DEFAULT_WRITER_BATCH_SIZE = 256
-    DEFAULT_CONFIG_NAME = "default"
-    BUILDER_CONFIG_CLASS = LaboASRConfig
-
-    BUILDER_CONFIGS = [
-        LaboASRConfig(
-            name="default",
-            description="Default config.",
-        ),
-    ]
-
-    def _info(self):
-        features = {
-            "transcript": Value("string"),
-            "id": Value("string"),
-        }
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(features),
-            homepage=_URL,
-        )
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "paths": ["1", "2", "3"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "paths": ["4", "5", "6"],
-                },
-            ),
-        ]
-
-    def _generate_examples(
-        self,
-        paths: list[str],
-    ) -> Generator[Tuple[int, dict], None, None]:
-
-        for i, p in enumerate(paths):
-
-            # Yield example
-            example = {
-                "transcript": "Hello, world!",
-                "id": "0000" + p,
-            }
-
-            yield i, example