size_categories:n<1K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': American black bear
          '1': Angora
          '2': Appenzeller
          '3': Indian cobra
          '4': Newfoundland
          '5': Rhodesian ridgeback
          '6': Tibetan terrier
          '7': Weimaraner
          '8': Welsh springer spaniel
          '9': admiral
          '10': airship
          '11': apiary
          '12': apron
          '13': armadillo
          '14': ashcan
          '15': backpack
          '16': balloon
          '17': ballpoint
          '18': banana
          '19': basketball
          '20': bicycle-built-for-two
          '21': black grouse
          '22': bullet train
          '23': butternut squash
          '24': cairn
          '25': cannon
          '26': carbonara
          '27': cardoon
          '28': cassette player
          '29': cellular telephone
          '30': cougar
          '31': cricket
          '32': dam
          '33': dhole
          '34': dingo
          '35': dome
          '36': dragonfly
          '37': fiddler crab
          '38': fire engine
          '39': fox squirrel
          '40': geyser
          '41': golden retriever
          '42': goldfinch
          '43': hermit crab
          '44': horizontal bar
          '45': horse cart
          '46': howler monkey
          '47': iPod
          '48': indri
          '49': isopod
          '50': jellyfish
          '51': lionfish
          '52': maillot
          '53': mantis
          '54': minibus
          '55': minivan
          '56': missile
          '57': mixing bowl
          '58': mortarboard
          '59': ocarina
          '60': oil filter
          '61': orange
          '62': oscilloscope
          '63': ostrich
          '64': otterhound
          '65': paddle
          '66': pajama
          '67': partridge
          '68': pay-phone
          '69': pencil sharpener
          '70': pool table
          '71': pretzel
          '72': robin
          '73': sax
          '74': screwdriver
          '75': shoji
          '76': shopping cart
          '77': soft-coated wheaten terrier
          '78': sombrero
          '79': soup bowl
          '80': stupa
          '81': suit
          '82': terrapin
          '83': tick
          '84': toilet seat
          '85': toilet tissue
          '86': totem pole
          '87': tow truck
          '88': traffic light
          '89': tub
          '90': umbrella
          '91': velvet
          '92': vine snake
          '93': waffle iron
          '94': walking stick
          '95': wallaby
          '96': wallet
          '97': wolf spider
          '98': zucchini
  splits:
  - name: train
    num_bytes: 35920648.0
    num_examples: 200
  download_size: 34524071
  dataset_size: 35920648.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
