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---
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: 1072127723.952
num_examples: 24032
download_size: 1191827748
dataset_size: 1072127723.952
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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