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from glob import glob |
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import os |
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from pathlib import Path |
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import datasets |
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_URLS = { |
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"EarlyMedia-1": "data/wav_finished/EarlyMedia-1.zip", |
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"EarlyMedia-55": "data/wav_finished/EarlyMedia-55.zip", |
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"EarlyMedia-60": "data/wav_finished/EarlyMedia-60.zip", |
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"EarlyMedia-62": "data/wav_finished/EarlyMedia-62.zip", |
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"EarlyMedia-66": "data/wav_finished/EarlyMedia-66.zip", |
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"en-IN": "data/wav_finished/en-IN.zip", |
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"en-PH": "data/wav_finished/en-PH.zip", |
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"en-SG": "data/wav_finished/en-SG.zip", |
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"en-US": "data/wav_finished/en-US.zip", |
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"es-MX": "data/wav_finished/es-MX.zip", |
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"es-PE": "data/wav_finished/es-PE.zip", |
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"id-ID": "data/wav_finished/id-ID.zip", |
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"ja-JP": "data/wav_finished/ja-JP.zip", |
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"ko-KR": "data/wav_finished/ko-KR.zip", |
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"ms-MY": "data/wav_finished/ms-MY.zip", |
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"pt-BR": "data/wav_finished/pt-BR.zip", |
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"th-TH": "data/wav_finished/th-TH.zip", |
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"zh-TW": "data/wav_finished/zh-TW.zip", |
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} |
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_CITATION = """\ |
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@dataset{early_media, |
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author = {Xing Tian}, |
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title = {vm_sound_classification}, |
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month = aug, |
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year = 2024, |
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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 = """\ |
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""" |
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VERSION = datasets.Version("1.0.0") |
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class VMSoundClassification(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=name, version=VERSION, description=name) for name in _URLS.keys() |
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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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"country": datasets.Value("string"), |
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"label": datasets.Value("string"), |
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"path": datasets.Value("string"), |
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"audio": datasets.Audio(sampling_rate=8000), |
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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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url = _URLS[self.config.name] |
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dl_path = dl_manager.download_and_extract(url) |
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archive_path = os.path.join(dl_path, self.config.name) |
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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, "split": "train"}, |
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), |
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] |
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def _generate_examples(self, archive_path, split): |
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"""Yields examples.""" |
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archive_path = Path(archive_path) |
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filename_list = archive_path.glob("*/*/*.wav") |
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for idx, filename in enumerate(filename_list): |
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label = filename.parts[-2] |
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country = filename.parts[-4] |
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yield idx, { |
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"country": country, |
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"label": label, |
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"path": filename.as_posix(), |
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"audio": filename.as_posix(), |
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} |
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if __name__ == '__main__': |
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pass |
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