Datasets:
Add dataset
Browse files- luna.py +69 -0
- metadata.tsv +0 -0
- wavs.tar.gz +3 -0
luna.py
ADDED
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# coding=utf-8
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"""LUNA Speech Dataset"""
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import pathlib
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import datasets
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_DESCRIPTION = """\
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TODO
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"""
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_HOMEPAGE = ""
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_CITATION = ""
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_LICENSE = "2-Clause BSD"
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class LUNA(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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"audio": datasets.Audio(sampling_rate=16_000),
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"transcript": datasets.Value("string"),
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"gender": datasets.Value("string"),
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"id": datasets.Value("string"),
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},
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),
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supervised_keys=None,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager):
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metadata_path = dl_manager.download_and_extract(
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"https://huggingface.co/datasets/czyzi0/luna/raw/main/metadata.tsv"
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)
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wavs_path = dl_manager.download_and_extract(
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"https://huggingface.co/datasets/czyzi0/luna/resolve/main/wavs.tar.gz"
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)
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return [
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datasets.SplitGenerator(
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name="train",
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gen_kwargs={"metadata_path": metadata_path, "wavs_path": wavs_path}
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)
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]
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def _generate_examples(self, metadata_path, wavs_path):
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wavs_path = pathlib.Path(wavs_path)
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with open(metadata_path, "r") as fh:
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header = next(fh).strip().split("\t")
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for item_idx, line in enumerate(fh):
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line = line.strip().split("\t")
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id_ = line[header.index("id")]
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transcript = line[header.index("transcript")]
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gender = line[header.index("gender")]
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wav_path = wavs_path / "wavs" / f"{id_}.wav"
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with open(wav_path, "rb") as fh_:
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item = {
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"audio": {"path": str(wav_path.absolute()), "bytes": fh_.read()},
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"transcript": transcript,
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"gender": gender,
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"id": id_,
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}
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yield item_idx, item
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metadata.tsv
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The diff for this file is too large to render.
See raw diff
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wavs.tar.gz
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:993a2c0b85c13acfc5d876a9c29222043de7aeffb1a8f5b0660a0a91f4d285cb
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size 917359323
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