Update aishell1.py
Browse files- aishell1.py +83 -71
aishell1.py
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@@ -137,77 +137,89 @@ class Aishell(datasets.GeneratorBasedBuilder):
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# meta_paths = dl_manager.download_and_extract(meta_urls)
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meta_paths = dl_manager.download(meta_urls)
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def _generate_examples(self, audio_archives_iterators, local_audio_archives_paths, meta_paths):
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# meta_paths = dl_manager.download_and_extract(meta_urls)
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meta_paths = dl_manager.download(meta_urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"audio_archives_iterators": [
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dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths[self.config.name]
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],
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"local_audio_archives_paths": local_audio_archives_paths[
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self.config.name] if local_audio_archives_paths else None,
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"meta_paths": meta_paths[self.config.name]
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},
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),
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]
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# if self.config.name not in {"dev", "test"}:
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# result = [
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# datasets.SplitGenerator(
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# name=datasets.Split.TRAIN,
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# gen_kwargs={
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# "audio_archives_iterators": [
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# dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["train"]
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# ],
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# "local_audio_archives_paths": local_audio_archives_paths[
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# "train"] if local_audio_archives_paths else None,
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# "meta_paths": meta_paths["train"]
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# },
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# )
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# ]
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# if 'dev' in audio_archives_paths:
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# result.append(datasets.SplitGenerator(
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# name=datasets.Split.VALIDATION,
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# gen_kwargs={
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# "audio_archives_iterators": [
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# dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["dev"]
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# ],
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# "local_audio_archives_paths": local_audio_archives_paths[
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# "dev"] if local_audio_archives_paths else None,
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# "meta_paths": meta_paths["dev"]
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# },
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# ))
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# if 'test' in audio_archives_paths:
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# result.append(datasets.SplitGenerator(
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# name=datasets.Split.TEST,
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# gen_kwargs={
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# "audio_archives_iterators": [
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# dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test"]
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# ],
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# "local_audio_archives_paths": local_audio_archives_paths[
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# "test"] if local_audio_archives_paths else None,
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# "meta_paths": meta_paths["test"]
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# },
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# ))
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# return result
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# if self.config.name == "dev":
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# return [
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# datasets.SplitGenerator(
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# name=datasets.Split.VALIDATION,
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# gen_kwargs={
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# "audio_archives_iterators": [
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# dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["dev"]
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# ],
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# "local_audio_archives_paths": local_audio_archives_paths[
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# "dev"] if local_audio_archives_paths else None,
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# "meta_paths": meta_paths["dev"]
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# },
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# ),
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# ]
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# if self.config.name == "test":
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# return [
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# datasets.SplitGenerator(
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# name=datasets.Split.TEST,
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# gen_kwargs={
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# "audio_archives_iterators": [
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# dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test"]
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# ],
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# "local_audio_archives_paths": local_audio_archives_paths[
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# "test"] if local_audio_archives_paths else None,
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# "meta_paths": meta_paths["test"]
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# },
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# ),
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# ]
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def _generate_examples(self, audio_archives_iterators, local_audio_archives_paths, meta_paths):
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