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README.md
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| 1 |
+
---
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| 2 |
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dataset_info:
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| 3 |
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features:
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| 4 |
+
- name: img
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| 5 |
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dtype: image
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| 6 |
+
- name: fine_label
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| 7 |
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dtype:
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| 8 |
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class_label:
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| 9 |
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names:
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| 10 |
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'0': apple
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| 11 |
+
'1': aquarium_fish
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| 12 |
+
'2': baby
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| 13 |
+
'3': bear
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| 14 |
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'4': beaver
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| 15 |
+
'5': bed
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| 16 |
+
'6': bee
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| 17 |
+
'7': beetle
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| 18 |
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'8': bicycle
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| 19 |
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'9': bottle
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| 20 |
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'10': bowl
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| 21 |
+
'11': boy
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| 22 |
+
'12': bridge
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| 23 |
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'13': bus
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| 24 |
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'14': butterfly
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| 25 |
+
'15': camel
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| 26 |
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'16': can
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| 27 |
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'17': castle
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| 28 |
+
'18': caterpillar
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| 29 |
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'19': cattle
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| 30 |
+
'20': chair
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| 31 |
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'21': chimpanzee
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| 32 |
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'22': clock
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| 33 |
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'23': cloud
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| 34 |
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'24': cockroach
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| 35 |
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'25': couch
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| 36 |
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'26': cra
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| 37 |
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'27': crocodile
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| 38 |
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'28': cup
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| 39 |
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'29': dinosaur
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| 40 |
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'30': dolphin
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| 41 |
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'31': elephant
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| 42 |
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'32': flatfish
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| 43 |
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'33': forest
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| 44 |
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'34': fox
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| 45 |
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'35': girl
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| 46 |
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'36': hamster
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| 47 |
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'37': house
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| 48 |
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'38': kangaroo
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| 49 |
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'39': keyboard
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| 50 |
+
'40': lamp
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| 51 |
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'41': lawn_mower
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| 52 |
+
'42': leopard
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| 53 |
+
'43': lion
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| 54 |
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'44': lizard
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| 55 |
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'45': lobster
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| 56 |
+
'46': man
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| 57 |
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'47': maple_tree
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| 58 |
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'48': motorcycle
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| 59 |
+
'49': mountain
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| 60 |
+
'50': mouse
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| 61 |
+
'51': mushroom
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| 62 |
+
'52': oak_tree
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| 63 |
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'53': orange
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| 64 |
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'54': orchid
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| 65 |
+
'55': otter
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| 66 |
+
'56': palm_tree
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| 67 |
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'57': pear
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| 68 |
+
'58': pickup_truck
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| 69 |
+
'59': pine_tree
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| 70 |
+
'60': plain
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| 71 |
+
'61': plate
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| 72 |
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'62': poppy
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| 73 |
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'63': porcupine
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| 74 |
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'64': possum
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| 75 |
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'65': rabbit
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| 76 |
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'66': raccoon
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| 77 |
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'67': ray
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| 78 |
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'68': road
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| 79 |
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'69': rocket
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| 80 |
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'70': rose
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| 81 |
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'71': sea
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| 82 |
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'72': seal
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| 83 |
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'73': shark
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| 84 |
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'74': shrew
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| 85 |
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'75': skunk
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| 86 |
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'76': skyscraper
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| 87 |
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'77': snail
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| 88 |
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'78': snake
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| 89 |
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'79': spider
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| 90 |
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'80': squirrel
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| 91 |
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'81': streetcar
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| 92 |
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'82': sunflower
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| 93 |
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'83': sweet_pepper
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| 94 |
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'84': table
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| 95 |
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'85': tank
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| 96 |
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'86': telephone
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| 97 |
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'87': television
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| 98 |
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'88': tiger
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| 99 |
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'89': tractor
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| 100 |
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'90': train
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| 101 |
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'91': trout
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| 102 |
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'92': tulip
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| 103 |
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'93': turtle
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| 104 |
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'94': wardrobe
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| 105 |
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'95': whale
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| 106 |
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'96': willow_tree
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| 107 |
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'97': wolf
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| 108 |
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'98': woman
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| 109 |
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'99': worm
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| 110 |
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- name: coarse_label
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| 111 |
+
dtype:
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| 112 |
+
class_label:
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| 113 |
+
names:
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| 114 |
+
'0': aquatic_mammals
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| 115 |
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'1': fish
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| 116 |
+
'2': flowers
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| 117 |
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'3': food_containers
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| 118 |
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'4': fruit_and_vegetables
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| 119 |
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'5': household_electrical_devices
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| 120 |
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'6': household_furniture
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| 121 |
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'7': insects
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| 122 |
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'8': large_carnivores
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| 123 |
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'9': large_man-made_outdoor_things
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| 124 |
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'10': large_natural_outdoor_scenes
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| 125 |
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'11': large_omnivores_and_herbivores
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| 126 |
+
'12': medium_mammals
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| 127 |
+
'13': non-insect_invertebrates
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| 128 |
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'14': people
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| 129 |
+
'15': reptiles
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| 130 |
+
'16': small_mammals
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| 131 |
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'17': trees
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| 132 |
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'18': vehicles_1
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| 133 |
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'19': vehicles_2
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| 134 |
+
splits:
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| 135 |
+
- name: train
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| 136 |
+
num_bytes: 1125013.56
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| 137 |
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num_examples: 500
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| 138 |
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download_size: 1132520
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| 139 |
+
dataset_size: 1125013.56
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| 140 |
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---
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| 141 |
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# Dataset Card for "cifar_500"
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| 142 |
+
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| 143 |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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