Datasets:
Commit
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9f6d2ae
1
Parent(s):
0d68a0f
simple version of script
Browse files- voxpopuli.py +105 -0
voxpopuli.py
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import os
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import glob
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import datasets
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_LANGUAGES = sorted(
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[
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"en", "de", "fr", "es", "pl", "it", "ro", "hu", "cs", "nl", "fi", "hr",
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"sk", "sl", "et", "lt", "pt", "bg", "el", "lv", "mt", "sv", "da"
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]
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)
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_LANGUAGES_V2 = [f"{x}_v2" for x in _LANGUAGES]
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_YEARS = list(range(2009, 2020 + 1))
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_CONFIG_TO_LANGS = {
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"400k": _LANGUAGES,
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"100k": _LANGUAGES,
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"10k": _LANGUAGES,
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}
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_CONFIG_TO_YEARS = {
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"400k": _YEARS + [f"{y}_2" for y in _YEARS],
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"100k": _YEARS,
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"10k": [2019, 2020],
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# "asr": _YEARS
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}
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for lang in _LANGUAGES:
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_CONFIG_TO_YEARS[lang] = _YEARS
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_BASE_URL = "https://dl.fbaipublicfiles.com/voxpopuli/"
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_DATA_URL = _BASE_URL + "audios/{lang}_{year}.tar"
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_META_URL = _BASE_URL + "https://dl.fbaipublicfiles.com/voxpopuli/annotations/unlabelled_v2.tsv.gz"
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class Voxpopuli(datasets.GeneratorBasedBuilder):
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"""The Voxpopuli dataset."""
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VERSION = datasets.Version("1.0.0") # TODO ??
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name=name,
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# version=VERSION,
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description="", # TODO
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)
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for name in _LANGUAGES + ["10k", "100k", "400k"]
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]
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# DEFAULT_CONFIG_NAME = "400k"
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# DEFAULT_WRITER_BATCH_SIZE = 1
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def _info(self):
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features = datasets.Features(
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{
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"path": datasets.Value("string"),
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"language": datasets.ClassLabel(names=_LANGUAGES),
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"year": datasets.Value("int16"),
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"audio": datasets.Audio(sampling_rate=16_000),
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}
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)
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return datasets.DatasetInfo(
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# description=_DESCRIPTION,
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features=features,
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# homepage=_HOMEPAGE,
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# license=_LICENSE,
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# citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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# dl_manager.download_config.num_proc = len(_VOXPOPULI_AUDIO_URLS) # TODO
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# metadata_path = dl_manager.download_and_extract(_META_URL)
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languages = [self.config.name] if self.config.name in _LANGUAGES else _LANGUAGES
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years = _CONFIG_TO_YEARS[self.config.name]
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# urls = [_DATA_URL.format(lang=language, year=year) for language in ["hr", "et"] for year in [2020]]
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urls = [_DATA_URL.format(lang=language, year=year) for language in languages for year in years]
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langs_data_dirs = dl_manager.download_and_extract(urls)
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print(langs_data_dirs)
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print(glob.glob(f"{langs_data_dirs[0]}/**/*.ogg", recursive=True))
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_dirs": langs_data_dirs,
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}
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),
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]
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def _generate_examples(self, data_dirs):
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for data_dir in data_dirs:
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for file in glob.glob(f"{data_dir}/**/*.ogg", recursive=True):
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path_components = file.split(os.sep)
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language, year = path_components[-3:-1]
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with open(file) as f:
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yield file, {
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"path": file,
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"language": language,
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"year": year,
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"audio": {"path": file}
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}
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