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import os |
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import datasets |
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import typing as tp |
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from pathlib import Path |
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SAMPLE_RATE = 44_100 |
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EXTENSION = '.wav' |
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ESC50_LABELS = [ |
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"airplane", |
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"breathing", |
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"brushing_teeth", |
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"can_opening", |
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"car_horn", |
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"cat", |
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"chainsaw", |
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"chirping_birds", |
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"church_bells", |
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"clapping", |
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"clock_alarm", |
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"clock_tick", |
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"coughing", |
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"cow", |
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"crackling_fire", |
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"crickets", |
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"crow", |
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"crying_baby", |
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"dog", |
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"door_wood_creaks", |
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"door_wood_knock", |
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"drinking_sipping", |
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"engine", |
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"fireworks", |
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"footsteps", |
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"frog", |
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"glass_breaking", |
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"hand_saw", |
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"helicopter", |
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"hen", |
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"insects", |
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"keyboard_typing", |
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"laughing", |
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"mouse_click", |
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"pig", |
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"pouring_water", |
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"rain", |
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"rooster", |
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"sea_waves", |
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"sheep", |
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"siren", |
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"sneezing", |
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"snoring", |
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"thunderstorm", |
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"toilet_flush", |
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"train", |
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"vacuum_cleaner", |
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"washing_machine", |
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"water_drops", |
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"wind", |
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] |
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ESC50_LABEL2ID = { |
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"dog": 0, |
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"rooster": 1, |
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"pig": 2, |
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"cow": 3, |
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"frog": 4, |
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"cat": 5, |
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"hen": 6, |
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"insects": 7, |
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"sheep": 8, |
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"crow": 9, |
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"rain": 10, |
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"sea_waves": 11, |
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"crackling_fire": 12, |
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"crickets": 13, |
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"chirping_birds": 14, |
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"water_drops": 15, |
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"wind": 16, |
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"pouring_water": 17, |
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"toilet_flush": 18, |
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"thunderstorm": 19, |
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"crying_baby": 20, |
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"sneezing": 21, |
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"clapping": 22, |
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"breathing": 23, |
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"coughing": 24, |
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"footsteps": 25, |
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"laughing": 26, |
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"brushing_teeth": 27, |
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"snoring": 28, |
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"drinking_sipping": 29, |
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"door_wood_knock": 30, |
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"mouse_click": 31, |
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"keyboard_typing": 32, |
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"door_wood_creaks": 33, |
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"can_opening": 34, |
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"washing_machine": 35, |
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"vacuum_cleaner": 36, |
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"clock_alarm": 37, |
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"clock_tick": 38, |
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"glass_breaking": 39, |
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"helicopter": 40, |
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"chainsaw": 41, |
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"siren": 42, |
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"car_horn": 43, |
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"engine": 44, |
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"train": 45, |
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"church_bells": 46, |
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"airplane": 47, |
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"fireworks": 48, |
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"hand_saw": 49 |
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} |
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ESC50_ID2LABEL = {v:k for k, v in ESC50_LABEL2ID.items()} |
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class Esc50Config(datasets.BuilderConfig): |
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"""BuilderConfig for ESC50.""" |
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def __init__(self, features, **kwargs): |
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super(Esc50Config, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs) |
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self.features = features |
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class ESC50(datasets.GeneratorBasedBuilder): |
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""" |
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The ESC50 dataset |
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""" |
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BUILDER_CONFIGS = [ |
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Esc50Config( |
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features=datasets.Features( |
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{ |
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"file": datasets.Value("string"), |
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"audio": datasets.Audio(sampling_rate=SAMPLE_RATE), |
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"sound": datasets.Value("string"), |
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"label": datasets.ClassLabel(names=ESC50_LABELS), |
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} |
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), |
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name=f"fold{f}", |
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description='', |
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) for f in range(1, 6) |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description='Environmental sound classification dataset', |
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features=self.config.features, |
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) |
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def _split_generators(self, dl_manager): |
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data_dir = dl_manager.download_and_extract("ESC-50-master.zip") |
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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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"data_dir": data_dir, |
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"split": 'train' |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"data_dir": data_dir, |
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"split": 'test' |
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}, |
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), |
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] |
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def _generate_examples(self, data_dir, split): |
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_, _walker = fast_scandir(data_dir, [EXTENSION], recursive=True) |
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for idx, fileid in enumerate(_walker): |
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fold = default_find_fold(fileid) |
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test_fold = self.config.name |
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train_fold = [f'fold{f}' for f in range(1, 11)] |
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train_fold.remove(test_fold) |
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if split == 'train' and f'fold{fold}' in train_fold: |
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yield idx, { |
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'file': fileid, |
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'audio': fileid, |
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'sound': default_find_classes(fileid), |
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'label': default_find_classes(fileid) |
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} |
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elif split == 'test' and f'fold{fold}' in test_fold: |
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yield idx, { |
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'file': fileid, |
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'audio': fileid, |
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'sound': default_find_classes(fileid), |
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'label': default_find_classes(fileid) |
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} |
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def default_find_classes(audio_path): |
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id_ = Path(audio_path).stem.split('-')[-1] |
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return ESC50_ID2LABEL.get(int(id_)) |
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def default_find_fold(audio_path): |
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fold = Path(audio_path).stem.split('-')[0] |
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return int(fold) |
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def fast_scandir(path: str, exts: tp.List[str], recursive: bool = False): |
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subfolders, files = [], [] |
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try: |
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for f in os.scandir(path): |
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try: |
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if f.is_dir(): |
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subfolders.append(f.path) |
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elif f.is_file(): |
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if os.path.splitext(f.name)[1].lower() in exts: |
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files.append(f.path) |
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except Exception: |
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pass |
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except Exception: |
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pass |
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if recursive: |
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for path in list(subfolders): |
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sf, f = fast_scandir(path, exts, recursive=recursive) |
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subfolders.extend(sf) |
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files.extend(f) |
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return subfolders, files |
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