| import os |
| import datasets |
| import typing as tp |
| from pathlib import Path |
|
|
| SAMPLE_RATE = 44_100 |
| EXTENSION = '.wav' |
|
|
|
|
| class Esc50Config(datasets.BuilderConfig): |
| """BuilderConfig for ESC50.""" |
| |
| def __init__(self, features, **kwargs): |
| super(Esc50Config, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs) |
| self.features = features |
|
|
|
|
| class ESC50(datasets.GeneratorBasedBuilder): |
| """ |
| The ESC50 dataset |
| """ |
|
|
| BUILDER_CONFIGS = [ |
| Esc50Config( |
| features=datasets.Features( |
| { |
| "file": datasets.Value("string"), |
| "audio": datasets.Audio(sampling_rate=SAMPLE_RATE), |
| "sound": datasets.Value("string"), |
| "label": datasets.ClassLabel(names=ESC50_LABELS), |
| } |
| ), |
| name="fold1", |
| description='', |
| ), |
| Esc50Config( |
| features=datasets.Features( |
| { |
| "file": datasets.Value("string"), |
| "audio": datasets.Audio(sampling_rate=SAMPLE_RATE), |
| "sound": datasets.Value("string"), |
| "label": datasets.ClassLabel(names=ESC50_LABELS), |
| } |
| ), |
| name="fold2", |
| description='', |
| ), |
| ] |
| |
| def _info(self): |
| return datasets.DatasetInfo( |
| description='Environmental sound classification dataset', |
| features=self.config.features, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| data_dir = dl_manager.download_and_extract("ESC-50-master.zip") |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={ |
| "data_dir": data_dir, |
| "split": 'train' |
| }, |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.TEST, |
| gen_kwargs={ |
| "data_dir": data_dir, |
| "split": 'test' |
| }, |
| ), |
| ] |
|
|
| def _generate_examples(self, data_dir, split): |
| _, _walker = fast_scandir(data_dir, [EXTENSION], recursive=True) |
|
|
| test_fold = self.config.name |
| train_fold = [f'fold{f}' for f in range(1, 11)] |
| train_fold.remove(test_fold) |
|
|
| for idx, fileid in enumerate(_walker): |
| fold = default_find_fold(fileid) |
| if split == 'train' and f'fold{fold}' in train_fold: |
| yield idx, { |
| 'file': fileid, |
| 'audio': fileid, |
| 'sound': default_find_classes(fileid), |
| 'label': default_find_classes(fileid) |
| } |
| elif split == 'test' and f'fold{fold}' in test_fold: |
| yield idx, { |
| 'file': fileid, |
| 'audio': fileid, |
| 'sound': default_find_classes(fileid), |
| 'label': default_find_classes(fileid) |
| } |
|
|
|
|
| def default_find_classes(audio_path): |
| id_ = Path(audio_path).stem.split('-')[-1] |
| return ESC50_ID2LABEL.get(int(id_)) |
|
|
|
|
| def default_find_fold(audio_path): |
| fold = Path(audio_path).stem.split('-')[0] |
| return int(fold) |
|
|
|
|
| def fast_scandir(path: str, exts: tp.List[str], recursive: bool = False): |
| |
| |
| subfolders, files = [], [] |
|
|
| try: |
| for f in os.scandir(path): |
| try: |
| if f.is_dir(): |
| subfolders.append(f.path) |
| elif f.is_file(): |
| if os.path.splitext(f.name)[1].lower() in exts: |
| files.append(f.path) |
| except Exception: |
| pass |
| except Exception: |
| pass |
|
|
| if recursive: |
| for path in list(subfolders): |
| sf, f = fast_scandir(path, exts, recursive=recursive) |
| subfolders.extend(sf) |
| files.extend(f) |
|
|
| return subfolders, files |
|
|
|
|
| ESC50_LABELS = [ |
| "airplane", |
| "breathing", |
| "brushing_teeth", |
| "can_opening", |
| "car_horn", |
| "cat", |
| "chainsaw", |
| "chirping_birds", |
| "church_bells", |
| "clapping", |
| "clock_alarm", |
| "clock_tick", |
| "coughing", |
| "cow", |
| "crackling_fire", |
| "crickets", |
| "crow", |
| "crying_baby", |
| "dog", |
| "door_wood_creaks", |
| "door_wood_knock", |
| "drinking_sipping", |
| "engine", |
| "fireworks", |
| "footsteps", |
| "frog", |
| "glass_breaking", |
| "hand_saw", |
| "helicopter", |
| "hen", |
| "insects", |
| "keyboard_typing", |
| "laughing", |
| "mouse_click", |
| "pig", |
| "pouring_water", |
| "rain", |
| "rooster", |
| "sea_waves", |
| "sheep", |
| "siren", |
| "sneezing", |
| "snoring", |
| "thunderstorm", |
| "toilet_flush", |
| "train", |
| "vacuum_cleaner", |
| "washing_machine", |
| "water_drops", |
| "wind", |
| ] |
|
|
| ESC50_LABEL2ID = { |
| "dog": 0, |
| "rooster": 1, |
| "pig": 2, |
| "cow": 3, |
| "frog": 4, |
| "cat": 5, |
| "hen": 6, |
| "insects": 7, |
| "sheep": 8, |
| "crow": 9, |
| "rain": 10, |
| "sea_waves": 11, |
| "crackling_fire": 12, |
| "crickets": 13, |
| "chirping_birds": 14, |
| "water_drops": 15, |
| "wind": 16, |
| "pouring_water": 17, |
| "toilet_flush": 18, |
| "thunderstorm": 19, |
| "crying_baby": 20, |
| "sneezing": 21, |
| "clapping": 22, |
| "breathing": 23, |
| "coughing": 24, |
| "footsteps": 25, |
| "laughing": 26, |
| "brushing_teeth": 27, |
| "snoring": 28, |
| "drinking_sipping": 29, |
| "door_wood_knock": 30, |
| "mouse_click": 31, |
| "keyboard_typing": 32, |
| "door_wood_creaks": 33, |
| "can_opening": 34, |
| "washing_machine": 35, |
| "vacuum_cleaner": 36, |
| "clock_alarm": 37, |
| "clock_tick": 38, |
| "glass_breaking": 39, |
| "helicopter": 40, |
| "chainsaw": 41, |
| "siren": 42, |
| "car_horn": 43, |
| "engine": 44, |
| "train": 45, |
| "church_bells": 46, |
| "airplane": 47, |
| "fireworks": 48, |
| "hand_saw": 49 |
| } |
| ESC50_ID2LABEL = {v:k for k, v in ESC50_LABEL2ID.items()} |