---
language:
- en
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': aircraft_carrier
          '1': alarm_clock
          '2': ant
          '3': anvil
          '4': asparagus
          '5': axe
          '6': banana
          '7': basket
          '8': bathtub
          '9': bear
          '10': bee
          '11': bird
          '12': blackberry
          '13': blueberry
          '14': bottlecap
          '15': broccoli
          '16': bus
          '17': butterfly
          '18': cactus
          '19': cake
          '20': calculator
          '21': camel
          '22': camera
          '23': candle
          '24': cannon
          '25': canoe
          '26': carrot
          '27': castle
          '28': cat
          '29': ceiling_fan
          '30': cell_phone
          '31': cello
          '32': chair
          '33': chandelier
          '34': coffee_cup
          '35': compass
          '36': computer
          '37': cow
          '38': crab
          '39': crocodile
          '40': cruise_ship
          '41': dog
          '42': dolphin
          '43': dragon
          '44': drums
          '45': duck
          '46': dumbbell
          '47': elephant
          '48': eyeglasses
          '49': feather
          '50': fence
          '51': fish
          '52': flamingo
          '53': flower
          '54': foot
          '55': fork
          '56': frog
          '57': giraffe
          '58': goatee
          '59': grapes
          '60': guitar
          '61': hammer
          '62': helicopter
          '63': helmet
          '64': horse
          '65': kangaroo
          '66': lantern
          '67': laptop
          '68': leaf
          '69': lion
          '70': lipstick
          '71': lobster
          '72': microphone
          '73': monkey
          '74': mosquito
          '75': mouse
          '76': mug
          '77': mushroom
          '78': onion
          '79': panda
          '80': peanut
          '81': pear
          '82': peas
          '83': pencil
          '84': penguin
          '85': pig
          '86': pillow
          '87': pineapple
          '88': potato
          '89': power_outlet
          '90': purse
          '91': rabbit
          '92': raccoon
          '93': rhinoceros
          '94': rifle
          '95': saxophone
          '96': screwdriver
          '97': sea_turtle
          '98': see_saw
          '99': sheep
          '100': shoe
          '101': skateboard
          '102': snake
          '103': speedboat
          '104': spider
          '105': squirrel
          '106': strawberry
          '107': streetlight
          '108': string_bean
          '109': submarine
          '110': swan
          '111': table
          '112': teapot
          '113': teddy-bear
          '114': television
          '115': the_Eiffel_Tower
          '116': the_Great_Wall_of_China
          '117': tiger
          '118': toe
          '119': train
          '120': truck
          '121': umbrella
          '122': vase
          '123': watermelon
          '124': whale
          '125': zebra
  splits:
  - name: train
    num_bytes: 1730250067.782
    num_examples: 55697
  download_size: 2035709306
  dataset_size: 1730250067.782
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---