Upload lb_data_test.py with huggingface_hub

lb_data_test.py

@@ -0,0 +1,79 @@
+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