--- dataset_info: - config_name: fold1 features: - name: file dtype: string - name: audio dtype: audio: sampling_rate: 44100 - name: sound dtype: string - name: label dtype: class_label: names: '0': airplane '1': breathing '2': brushing_teeth '3': can_opening '4': car_horn '5': cat '6': chainsaw '7': chirping_birds '8': church_bells '9': clapping '10': clock_alarm '11': clock_tick '12': coughing '13': cow '14': crackling_fire '15': crickets '16': crow '17': crying_baby '18': dog '19': door_wood_creaks '20': door_wood_knock '21': drinking_sipping '22': engine '23': fireworks '24': footsteps '25': frog '26': glass_breaking '27': hand_saw '28': helicopter '29': hen '30': insects '31': keyboard_typing '32': laughing '33': mouse_click '34': pig '35': pouring_water '36': rain '37': rooster '38': sea_waves '39': sheep '40': siren '41': sneezing '42': snoring '43': thunderstorm '44': toilet_flush '45': train '46': vacuum_cleaner '47': washing_machine '48': water_drops '49': wind splits: - name: train num_bytes: 705982089.2 num_examples: 1600 - name: test num_bytes: 176495233.0 num_examples: 400 download_size: 773452176 dataset_size: 882477322.2 - config_name: fold2 features: - name: file dtype: string - name: audio dtype: audio: sampling_rate: 44100 - name: sound dtype: string - name: label dtype: class_label: names: '0': airplane '1': breathing '2': brushing_teeth '3': can_opening '4': car_horn '5': cat '6': chainsaw '7': chirping_birds '8': church_bells '9': clapping '10': clock_alarm '11': clock_tick '12': coughing '13': cow '14': crackling_fire '15': crickets '16': crow '17': crying_baby '18': dog '19': door_wood_creaks '20': door_wood_knock '21': drinking_sipping '22': engine '23': fireworks '24': footsteps '25': frog '26': glass_breaking '27': hand_saw '28': helicopter '29': hen '30': insects '31': keyboard_typing '32': laughing '33': mouse_click '34': pig '35': pouring_water '36': rain '37': rooster '38': sea_waves '39': sheep '40': siren '41': sneezing '42': snoring '43': thunderstorm '44': toilet_flush '45': train '46': vacuum_cleaner '47': washing_machine '48': water_drops '49': wind splits: - name: train num_bytes: 705981938.8 num_examples: 1600 - name: test num_bytes: 176495401.0 num_examples: 400 download_size: 773443098 dataset_size: 882477339.8 - config_name: fold3 features: - name: file dtype: string - name: audio dtype: audio: sampling_rate: 44100 - name: sound dtype: string - name: label dtype: class_label: names: '0': airplane '1': breathing '2': brushing_teeth '3': can_opening '4': car_horn '5': cat '6': chainsaw '7': chirping_birds '8': church_bells '9': clapping '10': clock_alarm '11': clock_tick '12': coughing '13': cow '14': crackling_fire '15': crickets '16': crow '17': crying_baby '18': dog '19': door_wood_creaks '20': door_wood_knock '21': drinking_sipping '22': engine '23': fireworks '24': footsteps '25': frog '26': glass_breaking '27': hand_saw '28': helicopter '29': hen '30': insects '31': keyboard_typing '32': laughing '33': mouse_click '34': pig '35': pouring_water '36': rain '37': rooster '38': sea_waves '39': sheep '40': siren '41': sneezing '42': snoring '43': thunderstorm '44': toilet_flush '45': train '46': vacuum_cleaner '47': washing_machine '48': water_drops '49': wind splits: - name: train num_bytes: 705981788.0 num_examples: 1600 - name: test num_bytes: 176495546.0 num_examples: 400 download_size: 773620755 dataset_size: 882477334.0 - config_name: fold4 features: - name: file dtype: string - name: audio dtype: audio: sampling_rate: 44100 - name: sound dtype: string - name: label dtype: class_label: names: '0': airplane '1': breathing '2': brushing_teeth '3': can_opening '4': car_horn '5': cat '6': chainsaw '7': chirping_birds '8': church_bells '9': clapping '10': clock_alarm '11': clock_tick '12': coughing '13': cow '14': crackling_fire '15': crickets '16': crow '17': crying_baby '18': dog '19': door_wood_creaks '20': door_wood_knock '21': drinking_sipping '22': engine '23': fireworks '24': footsteps '25': frog '26': glass_breaking '27': hand_saw '28': helicopter '29': hen '30': insects '31': keyboard_typing '32': laughing '33': mouse_click '34': pig '35': pouring_water '36': rain '37': rooster '38': sea_waves '39': sheep '40': siren '41': sneezing '42': snoring '43': thunderstorm '44': toilet_flush '45': train '46': vacuum_cleaner '47': washing_machine '48': water_drops '49': wind splits: - name: train num_bytes: 705981748.0 num_examples: 1600 - name: test num_bytes: 176495574.0 num_examples: 400 download_size: 773327328 dataset_size: 882477322.0 - config_name: fold5 features: - name: file dtype: string - name: audio dtype: audio: sampling_rate: 44100 - name: sound dtype: string - name: label dtype: class_label: names: '0': airplane '1': breathing '2': brushing_teeth '3': can_opening '4': car_horn '5': cat '6': chainsaw '7': chirping_birds '8': church_bells '9': clapping '10': clock_alarm '11': clock_tick '12': coughing '13': cow '14': crackling_fire '15': crickets '16': crow '17': crying_baby '18': dog '19': door_wood_creaks '20': door_wood_knock '21': drinking_sipping '22': engine '23': fireworks '24': footsteps '25': frog '26': glass_breaking '27': hand_saw '28': helicopter '29': hen '30': insects '31': keyboard_typing '32': laughing '33': mouse_click '34': pig '35': pouring_water '36': rain '37': rooster '38': sea_waves '39': sheep '40': siren '41': sneezing '42': snoring '43': thunderstorm '44': toilet_flush '45': train '46': vacuum_cleaner '47': washing_machine '48': water_drops '49': wind splits: - name: train num_bytes: 705981754.4 num_examples: 1600 - name: test num_bytes: 176495582.0 num_examples: 400 download_size: 773463732 dataset_size: 882477336.4 configs: - config_name: fold1 data_files: - split: train path: fold1/train-* - split: test path: fold1/test-* - config_name: fold2 data_files: - split: train path: fold2/train-* - split: test path: fold2/test-* - config_name: fold3 data_files: - split: train path: fold3/train-* - split: test path: fold3/test-* - config_name: fold4 data_files: - split: train path: fold4/train-* - split: test path: fold4/test-* - config_name: fold5 data_files: - split: train path: fold5/train-* - split: test path: fold5/test-* ---