HoneyTian commited on
Commit
6f80449
1 Parent(s): f8e194a
.gitattributes CHANGED
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README.md CHANGED
@@ -9,4 +9,4 @@ language:
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  size_categories:
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  - 100M<n<1B
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  ---
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- ## 国际语音,电话场景中的声音分类
 
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  size_categories:
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  - 100M<n<1B
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  ---
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+ ## 国际语音,电话场景中的声音分类
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main.py ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ #!/usr/bin/python3
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+ # -*- coding: utf-8 -*-
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+ from datasets import load_dataset
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+ from tqdm import tqdm
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+
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+
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+ def main():
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+ dataset = load_dataset(
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+ "vm_sound_classification.py",
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+ name="th-TH",
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+ split="train",
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+ trust_remote_code=True,
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+ )
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+ print(dataset)
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+
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+ for sample in tqdm(dataset):
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+ print(sample)
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+ return
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+
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+
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+ if __name__ == '__main__':
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+ main()
requirements.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ datasets
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+ librosa
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+ soundfile
vm_sound_classification.py ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ #!/usr/bin/python3
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+ # -*- coding: utf-8 -*-
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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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+
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+ import datasets
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+
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+
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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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+ }
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+
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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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+
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+
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+ _DESCRIPTION = """\
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+
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+ """
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+
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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+
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+ class VMSoundClassification(datasets.GeneratorBasedBuilder):
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+
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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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+
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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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+
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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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+
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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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+
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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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+ ),
89
+ ]
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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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+
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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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+
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+ label = filename.parts[-2]
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+ country = filename.parts[-4]
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+
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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(),
105
+ "audio": filename.as_posix(),
106
+
107
+ }
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+
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+
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+ if __name__ == '__main__':
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+ pass