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from pathlib import Path |
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import datasets |
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import librosa |
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_DATA_URL_MAP = { |
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"en-PH": "data/noise/en-PH.zip", |
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} |
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_CITATION = """\ |
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@dataset{nx_noise, |
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author = {Xing Tian}, |
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title = {nx noise}, |
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month = jan, |
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year = 2025, |
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publisher = {Xing Tian}, |
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version = {1.0}, |
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} |
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""" |
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_DESCRIPTION = """noise from user side in calling.""" |
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class NXNoise(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="en-PH", version=VERSION, description="noise from en-PH"), |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"audio": datasets.Audio(), |
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"duration": datasets.Value("float16"), |
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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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supervised_keys=None, |
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homepage="", |
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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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"""Returns SplitGenerators.""" |
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data_url = _DATA_URL_MAP.get(self.config.name) |
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if data_url is None: |
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raise AssertionError(f"subset {self.config.name} is not available.") |
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archive_path = dl_manager.download_and_extract(data_url) |
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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={"archive_path": archive_path, "dl_manager": dl_manager}, |
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), |
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] |
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def _generate_examples(self, archive_path, dl_manager): |
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"""Yields examples.""" |
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archive_path = Path(archive_path) |
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sample_idx = 0 |
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for filename in archive_path.glob("**/*.wav"): |
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y, sr = librosa.load(filename, sr=None) |
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yield sample_idx, { |
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"audio": filename.as_posix(), |
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"duration": round(librosa.get_duration(y=y, sr=sr), 4), |
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} |
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sample_idx += 1 |
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if __name__ == '__main__': |
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pass |
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