updated

test01.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Common Voice Dataset"""
+""" LibriVox-Indonesia Dataset"""
 
 
 import csv
@@ -83,7 +83,7 @@ class Test01(datasets.GeneratorBasedBuilder):
         total_languages = len(STATS["locales"])
         total_valid_hours = STATS["totalValidHrs"]
         description = (
-            "Common Voice is Mozilla's initiative to help teach machines how real people speak. "
+            "LibriVox-Indonesia is a speech dataset generated from LibriVox with only languages from Indonesia."
             f"The dataset currently consists of {total_valid_hours} validated hours of speech "
             f" in {total_languages} languages, but more voices and languages are always added."
         )
@@ -105,33 +105,15 @@ class Test01(datasets.GeneratorBasedBuilder):
             license=_LICENSE,
             citation=_CITATION,
             version=self.config.version,
-            # task_templates=[
-            #     AutomaticSpeechRecognition(audio_file_path_column="path", transcription_column="sentence")
-            # ],
         )
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        """
-        hf_auth_token = dl_manager.download_config.use_auth_token
-        if hf_auth_token is None:
-            raise ConnectionError(
-                "Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset"
-            )
-        """
-
-        bundle_url_template = STATS["bundleURLTemplate"]
-        bundle_version = bundle_url_template.split("/")[0]
         dl_manager.download_config.ignore_url_params = True
 
         archive_path = dl_manager.download(_AUDIO_URL)
         local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else None
-
-        if self.config.version < datasets.Version("5.0.0"):
-            path_to_data = ""
-        else:
-            path_to_data = ""
-        path_to_clips = "/".join([path_to_data, "audio"]) if path_to_data else "audio"
+        path_to_clips = "audio"
 
         return [
             datasets.SplitGenerator(
@@ -139,7 +121,7 @@ class Test01(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "local_extracted_archive": local_extracted_archive,
                     "archive_iterator": dl_manager.iter_archive(archive_path),
-                    "metadata_filepath": "/".join([path_to_data, "audio_transcription.csv"]) if path_to_data else "audio_transcription.csv",
+                    "metadata_filepath": "audio_transcription.csv",
                     "path_to_clips": path_to_clips,
                 },
             ),