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import json |
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import datasets |
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class DsuDataset(datasets.GeneratorBasedBuilder): |
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"""Discrete Speech Units dataset""" |
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VERSION = datasets.Version("1.0.0") |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="Discrete Speech Units Dataset", |
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features=datasets.Features({ |
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"id": datasets.Value("string"), |
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"tokens": datasets.Sequence(datasets.Value("int32")), |
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"text": datasets.Value("string"), |
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"augmentation": datasets.Value("string") |
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}) |
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) |
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def _split_generators(self, dl_manager): |
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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={"filepath": "data/train.json"}, |
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) |
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] |
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def _generate_examples(self, filepath): |
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with open(filepath, encoding="utf-8") as f: |
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data = json.load(f) |
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for i, item in enumerate(data): |
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yield i, { |
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"id": item["id"], |
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"tokens": item["tokens"], |
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"text": item["text"], |
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"augmentation": item["augmentation"], |
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} |
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