restructured the splits
Browse files- librivox-indonesia.py +13 -22
librivox-indonesia.py
CHANGED
@@ -105,31 +105,26 @@ class LibriVoxIndonesia(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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dl_manager.download_config.ignore_url_params = True
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path_to_clips = "librivox-indonesia"
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return [
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datasets.SplitGenerator(
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name=
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gen_kwargs={
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"local_extracted_archive":
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"audio_files": dl_manager.iter_archive(
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"metadata_path": dl_manager.download_and_extract(
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"path_to_clips": path_to_clips,
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},
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)
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive_test,
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"audio_files": dl_manager.iter_archive(audio_test),
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"metadata_path": dl_manager.download_and_extract(_DATA_URL + "/metadata_test.csv.gz"),
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"path_to_clips": path_to_clips,
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},
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),
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]
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def _generate_examples(
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@@ -140,7 +135,6 @@ class LibriVoxIndonesia(datasets.GeneratorBasedBuilder):
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path_to_clips,
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):
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"""Yields examples."""
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# print(metadata_path)
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data_fields = list(self._info().features.keys())
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metadata = {}
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with open(metadata_path, "r", encoding="utf-8") as f:
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@@ -154,10 +148,7 @@ class LibriVoxIndonesia(datasets.GeneratorBasedBuilder):
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row[field] = ""
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metadata[row["path"]] = row
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id_ = 0
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# print("example length = %d" % len(metadata))
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# print(metadata)
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for path, f in audio_files:
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# print(path)
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if path in metadata:
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result = dict(metadata[path])
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# set the audio feature and the path to the extracted file
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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dl_manager.download_config.ignore_url_params = True
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audio = {}
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local_extracted_archive = {}
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metadata_path = {}
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splits = { "train": datasets.Split.TRAIN, "test": datasets.Split.TEST}
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for split in splits:
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audio[split] = dl_manager.download(f"{_DATA_URL}/audio_train.tgz")
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local_extracted_archive[split] = dl_manager.extract(audio[split]) if not dl_manager.is_streaming else None
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metadata_path[split] = dl_manager.download_and_extract(f"{_DATA_URL}/metadata_{split}.csv.gz")
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path_to_clips = "librivox-indonesia"
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return [
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datasets.SplitGenerator(
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name=splits[split],
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive[split],
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"audio_files": dl_manager.iter_archive(audio[split]),
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"metadata_path": dl_manager.download_and_extract(metadata_path[split]),
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"path_to_clips": path_to_clips,
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},
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) for split in splits
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]
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def _generate_examples(
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path_to_clips,
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):
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"""Yields examples."""
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data_fields = list(self._info().features.keys())
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metadata = {}
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with open(metadata_path, "r", encoding="utf-8") as f:
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row[field] = ""
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metadata[row["path"]] = row
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id_ = 0
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for path, f in audio_files:
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if path in metadata:
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result = dict(metadata[path])
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# set the audio feature and the path to the extracted file
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