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try wav
Browse files- gigaspeech2_metadata.py +0 -150
gigaspeech2_metadata.py
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import os
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from collections import OrderedDict
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from pathlib import Path
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import datasets
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import os
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class Gigaspeech2Config(datasets.BuilderConfig):
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"""BuilderConfig for Yodas."""
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def __init__(self, lang, version, **kwargs):
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self.language = lang
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self.base_data_path = f"data/{lang}"
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description = (
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f"Youtube speech to text dataset in {self.language}."
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)
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super(Gigaspeech2Config, self).__init__(
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name=lang,
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version=datasets.Version(version),
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description=description,
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**kwargs,
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)
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DEFAULT_CONFIG_NAME = "all"
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LANGS = ['id', 'th', 'vi']
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VERSION = "1.0.1"
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class Gigaspeech2(datasets.GeneratorBasedBuilder):
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"""Yodas dataset."""
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BUILDER_CONFIGS = [
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Gigaspeech2Config(lang, version=VERSION) for lang in LANGS
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]
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VERSION = datasets.Version("1.0.1")
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def _info(self):
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return datasets.DatasetInfo(
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description="Gigaspeech2",
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features=datasets.Features(
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OrderedDict(
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[
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# ("id", datasets.Value("string")),
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# ("utt_id", datasets.Value("string")),
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("audio", datasets.Audio(sampling_rate=16_000)),
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("text", datasets.Value("string")),
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]
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)
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),
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supervised_keys=None,
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homepage="", # TODO
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citation="", # TODO
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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# TODO
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# total_cnt = lang2shard_cnt[self.config.name]
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# idx_lst = [f"{i:08d}" for i in range(total_cnt)]
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# idx_lst = ["0-0", "0-1"]
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# audio_tar_files = dl_manager.download([f"{self.config.base_data_path}/test.tar.gz"])
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audio_tar_files = dl_manager.download([f"{self.config.base_data_path}/test.tar.gz"])
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# text_files = dl_manager.download([f"{self.config.base_data_path}/text/{i:08d}.txt" for i in range(total_cnt)])
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#duration_files = dl_manager.download([f"{self.config.base_data_path}/duration/{i:08d}.txt" for i in range(total_cnt)])
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if dl_manager.is_streaming:
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audio_archives = [dl_manager.iter_archive(audio_tar_file) for audio_tar_file in audio_tar_files]
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# text_archives = [dl_manager.extract(text_file) for text_file in text_files]
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else:
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print("extracting audio ...")
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extracted_audio_archives = dl_manager.extract(audio_tar_files)
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audio_archives = []
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text_archives = []
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# audio_archives.append(str(extracted_dir)+'/'+idx)
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# for idx, audio_tar_file, extracted_dir, text_file in zip(idx_lst, audio_tar_files, extracted_audio_archives, text_files):
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# audio_archives.append(str(extracted_dir)+'/'+idx)
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# text_archives.append(text_file)
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for extracted_dir in extracted_audio_archives:
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audio_archives.append(str(extracted_dir)+'/'+"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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"is_streaming": dl_manager.is_streaming,
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"audio_archives": audio_archives,
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# 'text_archives': text_archives,
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},
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),
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]
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def _generate_examples(self, is_streaming, audio_archives):
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"""Yields examples."""
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id_ = 0
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text_archives = ["asdf" for _ in audio_archives]
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if is_streaming:
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# for tar_file, text_file in zip(audio_archives, text_archives):
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for tar_file in audio_archives:
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utt2text = {}
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for path, audio_f in tar_file:
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path = Path(path)
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utt_id = path.stem
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result = {
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'id': id_,
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'utt_id': utt_id,
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'audio': {"path": None, "bytes": audio_f.read()},
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'text': "asdf",
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}
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yield id_, result
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id_ += 1
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else:
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for extracted_dir, text_file in zip(audio_archives, text_archives):
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utt2text = {}
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extract_root_dir = Path(extracted_dir).parent
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extracted_dir = list(extract_root_dir.glob('./*'))[0]
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with open(text_file) as f:
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for _, row in enumerate(f):
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row = row.strip().split(maxsplit=1)
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utt2text[row[0]] = row[1]
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for audio_file in list(Path(extracted_dir).glob('*')):
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utt_id = audio_file.stem
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if utt_id in utt2text:
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result = {
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'id': id_,
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'utt_id': utt_id,
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'audio': {"path": str(audio_file.absolute()), "bytes": open(audio_file, 'rb').read()},
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'text': utt2text[utt_id]
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}
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yield id_, result
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id_ += 1
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