Upload 2 files
Browse files- audio-text-demo.py +60 -0
- audios.tar.gz +3 -0
audio-text-demo.py
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import datasets
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_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {Small audio-text set},
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author={James Briggs},
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year={2022}
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}
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"""
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_DESCRIPTION = """\
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Demo dataset for testing or showing audio-text capabilities.
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"""
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##_HOMEPAGE = "https://huggingface.co/datasets/jamescalam/audio-text-demo"
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_HOMEPAGE = "https://huggingface.co/datasets/lucasjca/audio-files"
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_LICENSE = ""
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#_REPO = "https://huggingface.co/datasets/jamescalam/audio-text-demo"
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_REPO = "https://huggingface.co/datasets/lucasjca/audio-files"
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class audioSet(datasets.GeneratorBasedBuilder):
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"""Small sample of audio-text pairs"""
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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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'text': datasets.Value("string"),
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'audio': datasets.audio(),
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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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)
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def _split_generators(self, dl_manager):
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audios_archive = dl_manager.download(f"{_REPO}/resolve/main/audios.tgz")
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audio_iters = dl_manager.iter_archive(audios_archive)
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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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"audios": audio_iters
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}
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),
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]
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def _generate_examples(self, audios):
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""" This function returns the examples in the raw (text) form."""
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for idx, (filepath, audio) in enumerate(audios):
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description = filepath.split('/')[-1][:-4]
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description = description.replace('_', ' ')
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yield idx, {
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"audio": {"path": filepath, "bytes": audio.read()},
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"text": description,
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}
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audios.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:d99e7d81b4665107277e2a60c6b3ef5ae4a56edf8aaf680d1b004a552a8034ee
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size 191
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