---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
          '2': '2'
          '3': '3'
          '4': '4'
          '5': '5'
          '6': '6'
          '7': '7'
          '8': '8'
          '9': '9'
          '10': '10'
          '11': '11'
          '12': '12'
          '13': '13'
          '14': '14'
          '15': '15'
          '16': '16'
          '17': '17'
          '18': '18'
          '19': '19'
          '20': '20'
          '21': '21'
          '22': '22'
          '23': '23'
          '24': '24'
          '25': '25'
          '26': '26'
          '27': '27'
          '28': '28'
          '29': '29'
          '30': '30'
          '31': '31'
          '32': '32'
          '33': '33'
          '34': '34'
          '35': '35'
          '36': '36'
          '37': '37'
          '38': '38'
          '39': '39'
          '40': '40'
          '41': '41'
          '42': '42'
          '43': '43'
          '44': '44'
          '45': '45'
          '46': '46'
          '47': '47'
          '48': '48'
          '49': '49'
          '50': '50'
          '51': '51'
          '52': '52'
          '53': '53'
          '54': '54'
          '55': '55'
          '56': '56'
          '57': '57'
          '58': '58'
          '59': '59'
          '60': '60'
          '61': '61'
          '62': '62'
          '63': '63'
          '64': '64'
          '65': '65'
          '66': '66'
          '67': '67'
          '68': '68'
          '69': '69'
          '70': '70'
          '71': '71'
          '72': '72'
          '73': '73'
          '74': '74'
          '75': '75'
          '76': '76'
          '77': '77'
          '78': '78'
          '79': '79'
          '80': '80'
          '81': '81'
          '82': '82'
          '83': '83'
          '84': '84'
          '85': '85'
          '86': '86'
          '87': '87'
          '88': '88'
          '89': '89'
          '90': '90'
          '91': '91'
          '92': '92'
          '93': '93'
          '94': '94'
          '95': '95'
          '96': '96'
          '97': '97'
          '98': '98'
          '99': '99'
  - name: label_text
    dtype:
      class_label:
        names:
          '0': boxing ring
          '1': car interior
          '2': bamboo forest
          '3': cockpit
          '4': auto showroom
          '5': phone booth
          '6': arena hockey
          '7': basketball court indoor
          '8': wind farm
          '9': bowling alley
          '10': waterfall
          '11': windmill
          '12': lighthouse
          '13': raft
          '14': volleyball court outdoor
          '15': carrousel
          '16': martial arts gym
          '17': raceway
          '18': rock arch
          '19': underwater ocean deep
          '20': veterinarians office
          '21': army base
          '22': bus station indoor
          '23': fire escape
          '24': florist shop indoor
          '25': baseball field
          '26': throne room
          '27': ball pit
          '28': landing deck
          '29': airplane cabin
          '30': gymnasium indoor
          '31': racecourse
          '32': sandbox
          '33': vineyard
          '34': arena rodeo
          '35': sauna
          '36': soccer field
          '37': synagogue outdoor
          '38': water tower
          '39': amusement arcade
          '40': bullring
          '41': escalator indoor
          '42': hangar indoor
          '43': nursery
          '44': orchestra pit
          '45': playground
          '46': rope bridge
          '47': swimming pool outdoor
          '48': cemetery
          '49': junkyard
          '50': kasbah
          '51': kennel outdoor
          '52': oilrig
          '53': shoe shop
          '54': stadium baseball
          '55': church indoor
          '56': corral
          '57': dam
          '58': iceberg
          '59': landfill
          '60': locker room
          '61': operating room
          '62': railroad track
          '63': bow window indoor
          '64': crevasse
          '65': grotto
          '66': jewelry shop
          '67': rice paddy
          '68': ski slope
          '69': swimming pool indoor
          '70': attic
          '71': bus interior
          '72': campsite
          '73': forest road
          '74': laundromat
          '75': pond
          '76': dining hall
          '77': stadium football
          '78': gift shop
          '79': restaurant
          '80': drugstore
          '81': artists loft
          '82': flea market indoor
          '83': museum outdoor
          '84': palace
          '85': arch
          '86': ocean
          '87': office building
          '88': house
          '89': coast
          '90': mountain
          '91': valley
          '92': building facade
          '93': cafeteria
          '94': desert sand
          '95': river
          '96': desert vegetation
          '97': desert road
          '98': field wild
          '99': field road
  splits:
  - name: train
    num_bytes: 6140271410.0
    num_examples: 100000
  - name: test
    num_bytes: 612257744.0
    num_examples: 10000
  download_size: 6752306001
  dataset_size: 6752529154.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---