fsdkaggle2019-demo / README.md
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metadata
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-*