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- data/.DS_Store +0 -0
- data/files.zip +3 -0
- data/metadata.zip +3 -0
- testing.py +57 -0
.DS_Store
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Binary file (6.15 kB). View file
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data/.DS_Store
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Binary file (6.15 kB). View file
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data/files.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:eef1883310f1e0395ee1e281f80a48acda6e5b768172b9926d8421b700a1fb95
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size 616441
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data/metadata.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f0370148620408f520f39c454fe343845701644537bee790360741efa10d6ae
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size 2379
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testing.py
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import os
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import datasets
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import pandas as pd
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_DESCRIPTION = """\
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This dataset is collected from Commonvoice for testing purposes.
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"""
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_CITATION = "Some citation"
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_data_dir = "data"
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class ASRTesting(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"path": datasets.Value("string"),
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"audio": datasets.Audio(sampling_rate=16_000),
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"transcript": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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download_dir = dl_manager.download_and_extract(
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{
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"files": os.path.join(_data_dir, "files.zip"),
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"metadata": os.path.join(_data_dir, "metadata.zip")
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}
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)
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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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"split": datasets.Split.TRAIN,
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"data_dir": os.path.join(download_dir["files"], "files"),
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"metapath": os.path.join(download_dir["metadata"], "metadata", "dataset.tsv"),
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},
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)
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]
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def _generate_examples(self, data_dir, metapath, split):
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metadata = pd.read_csv(metapath)
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for key, row in metadata.iterrows():
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audio_path = os.path.join(data_dir, row["audio"])
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yield key, {
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"audio": audio_path,
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"transcript": row["transcript"],
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"path": audio_path,
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}
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