---
dataset_info:
- config_name: curated
  features:
  - name: file
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 44100
  - name: sound
    sequence: string
  - name: label
    sequence:
      class_label:
        names:
          '0': Accelerating_and_revving_and_vroom
          '1': Accordion
          '2': Acoustic_guitar
          '3': Applause
          '4': Bark
          '5': Bass_drum
          '6': Bass_guitar
          '7': Bathtub_(filling_or_washing)
          '8': Bicycle_bell
          '9': Burping_and_eructation
          '10': Bus
          '11': Buzz
          '12': Car_passing_by
          '13': Cheering
          '14': Chewing_and_mastication
          '15': Child_speech_and_kid_speaking
          '16': Chink_and_clink
          '17': Chirp_and_tweet
          '18': Church_bell
          '19': Clapping
          '20': Computer_keyboard
          '21': Crackle
          '22': Cricket
          '23': Crowd
          '24': Cupboard_open_or_close
          '25': Cutlery_and_silverware
          '26': Dishes_and_pots_and_pans
          '27': Drawer_open_or_close
          '28': Drip
          '29': Electric_guitar
          '30': Fart
          '31': Female_singing
          '32': Female_speech_and_woman_speaking
          '33': Fill_(with_liquid)
          '34': Finger_snapping
          '35': Frying_(food)
          '36': Gasp
          '37': Glockenspiel
          '38': Gong
          '39': Gurgling
          '40': Harmonica
          '41': Hi-hat
          '42': Hiss
          '43': Keys_jangling
          '44': Knock
          '45': Male_singing
          '46': Male_speech_and_man_speaking
          '47': Marimba_and_xylophone
          '48': Mechanical_fan
          '49': Meow
          '50': Microwave_oven
          '51': Motorcycle
          '52': Printer
          '53': Purr
          '54': Race_car_and_auto_racing
          '55': Raindrop
          '56': Run
          '57': Scissors
          '58': Screaming
          '59': Shatter
          '60': Sigh
          '61': Sink_(filling_or_washing)
          '62': Skateboard
          '63': Slam
          '64': Sneeze
          '65': Squeak
          '66': Stream
          '67': Strum
          '68': Tap
          '69': Tick-tock
          '70': Toilet_flush
          '71': Traffic_noise_and_roadway_noise
          '72': Trickle_and_dribble
          '73': Walk_and_footsteps
          '74': Water_tap_and_faucet
          '75': Waves_and_surf
          '76': Whispering
          '77': Writing
          '78': Yell
          '79': Zipper_(clothing)
  splits:
  - name: train
    num_bytes: 3368589578.44
    num_examples: 4970
  - name: test
    num_bytes: 4182017326.408
    num_examples: 4481
  download_size: 6845764813
  dataset_size: 7550606904.848
- config_name: noisy
  features:
  - name: file
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 44100
  - name: sound
    sequence: string
  - name: label
    sequence:
      class_label:
        names:
          '0': Accelerating_and_revving_and_vroom
          '1': Accordion
          '2': Acoustic_guitar
          '3': Applause
          '4': Bark
          '5': Bass_drum
          '6': Bass_guitar
          '7': Bathtub_(filling_or_washing)
          '8': Bicycle_bell
          '9': Burping_and_eructation
          '10': Bus
          '11': Buzz
          '12': Car_passing_by
          '13': Cheering
          '14': Chewing_and_mastication
          '15': Child_speech_and_kid_speaking
          '16': Chink_and_clink
          '17': Chirp_and_tweet
          '18': Church_bell
          '19': Clapping
          '20': Computer_keyboard
          '21': Crackle
          '22': Cricket
          '23': Crowd
          '24': Cupboard_open_or_close
          '25': Cutlery_and_silverware
          '26': Dishes_and_pots_and_pans
          '27': Drawer_open_or_close
          '28': Drip
          '29': Electric_guitar
          '30': Fart
          '31': Female_singing
          '32': Female_speech_and_woman_speaking
          '33': Fill_(with_liquid)
          '34': Finger_snapping
          '35': Frying_(food)
          '36': Gasp
          '37': Glockenspiel
          '38': Gong
          '39': Gurgling
          '40': Harmonica
          '41': Hi-hat
          '42': Hiss
          '43': Keys_jangling
          '44': Knock
          '45': Male_singing
          '46': Male_speech_and_man_speaking
          '47': Marimba_and_xylophone
          '48': Mechanical_fan
          '49': Meow
          '50': Microwave_oven
          '51': Motorcycle
          '52': Printer
          '53': Purr
          '54': Race_car_and_auto_racing
          '55': Raindrop
          '56': Run
          '57': Scissors
          '58': Screaming
          '59': Shatter
          '60': Sigh
          '61': Sink_(filling_or_washing)
          '62': Skateboard
          '63': Slam
          '64': Sneeze
          '65': Squeak
          '66': Stream
          '67': Strum
          '68': Tap
          '69': Tick-tock
          '70': Toilet_flush
          '71': Traffic_noise_and_roadway_noise
          '72': Trickle_and_dribble
          '73': Walk_and_footsteps
          '74': Water_tap_and_faucet
          '75': Waves_and_surf
          '76': Whispering
          '77': Writing
          '78': Yell
          '79': Zipper_(clothing)
  splits:
  - name: train
    num_bytes: 25639324897.28
    num_examples: 19815
  - name: test
    num_bytes: 4182017326.408
    num_examples: 4481
  download_size: 28944050138
  dataset_size: 29821342223.688
configs:
- config_name: curated
  data_files:
  - split: train
    path: curated/train-*
  - split: test
    path: curated/test-*
- config_name: noisy
  data_files:
  - split: train
    path: noisy/train-*
  - split: test
    path: noisy/test-*
---