benjamin-paine commited on
Commit
1bd0400
1 Parent(s): 394b587

Upload dataset

Browse files
Files changed (46) hide show
  1. README.md +1083 -40
  2. data/test-00000-of-00003.parquet +3 -0
  3. data/test-00001-of-00003.parquet +3 -0
  4. data/test-00002-of-00003.parquet +3 -0
  5. data/train-00000-of-00040.parquet +3 -0
  6. data/train-00001-of-00040.parquet +3 -0
  7. data/train-00002-of-00040.parquet +3 -0
  8. data/train-00003-of-00040.parquet +3 -0
  9. data/train-00004-of-00040.parquet +3 -0
  10. data/train-00005-of-00040.parquet +3 -0
  11. data/train-00006-of-00040.parquet +3 -0
  12. data/train-00007-of-00040.parquet +3 -0
  13. data/train-00008-of-00040.parquet +3 -0
  14. data/train-00009-of-00040.parquet +3 -0
  15. data/train-00010-of-00040.parquet +3 -0
  16. data/train-00011-of-00040.parquet +3 -0
  17. data/train-00012-of-00040.parquet +3 -0
  18. data/train-00013-of-00040.parquet +3 -0
  19. data/train-00014-of-00040.parquet +3 -0
  20. data/train-00015-of-00040.parquet +3 -0
  21. data/train-00016-of-00040.parquet +3 -0
  22. data/train-00017-of-00040.parquet +3 -0
  23. data/train-00018-of-00040.parquet +3 -0
  24. data/train-00019-of-00040.parquet +3 -0
  25. data/train-00020-of-00040.parquet +3 -0
  26. data/train-00021-of-00040.parquet +3 -0
  27. data/train-00022-of-00040.parquet +3 -0
  28. data/train-00023-of-00040.parquet +3 -0
  29. data/train-00024-of-00040.parquet +3 -0
  30. data/train-00025-of-00040.parquet +3 -0
  31. data/train-00026-of-00040.parquet +3 -0
  32. data/train-00027-of-00040.parquet +3 -0
  33. data/train-00028-of-00040.parquet +3 -0
  34. data/train-00029-of-00040.parquet +3 -0
  35. data/train-00030-of-00040.parquet +3 -0
  36. data/train-00031-of-00040.parquet +3 -0
  37. data/train-00032-of-00040.parquet +3 -0
  38. data/train-00033-of-00040.parquet +3 -0
  39. data/train-00034-of-00040.parquet +3 -0
  40. data/train-00035-of-00040.parquet +3 -0
  41. data/train-00036-of-00040.parquet +3 -0
  42. data/train-00037-of-00040.parquet +3 -0
  43. data/train-00038-of-00040.parquet +3 -0
  44. data/train-00039-of-00040.parquet +3 -0
  45. data/validation-00000-of-00002.parquet +3 -0
  46. data/validation-00001-of-00002.parquet +3 -0
README.md CHANGED
@@ -7,11 +7,8 @@ language:
7
  - en
8
  license:
9
  - other
10
- license_details: imagenet-agreement
11
  multilinguality:
12
  - monolingual
13
- paperswithcode_id: imagenet-1k-1
14
- pretty_name: ImageNet
15
  size_categories:
16
  - 1M<n<10M
17
  source_datasets:
@@ -20,47 +17,1093 @@ task_categories:
20
  - image-classification
21
  task_ids:
22
  - multi-class-image-classification
23
- extra_gated_prompt: >-
24
- By clicking on “Access repository” below, you also agree to ImageNet Terms of
25
- Access:
26
-
27
- [RESEARCHER_FULLNAME] (the "Researcher") has requested permission to use the
28
- ImageNet database (the "Database") at Princeton University and Stanford
29
- University. In exchange for such permission, Researcher hereby agrees to the
30
- following terms and conditions:
31
-
32
- 1. Researcher shall use the Database only for non-commercial research and
33
- educational purposes.
34
-
35
- 2. Princeton University, Stanford University and Hugging Face make no
36
- representations or warranties regarding the Database, including but not
37
- limited to warranties of non-infringement or fitness for a particular purpose.
38
-
39
- 3. Researcher accepts full responsibility for his or her use of the Database
40
- and shall defend and indemnify the ImageNet team, Princeton University,
41
- Stanford University and Hugging Face, including their employees, Trustees,
42
- officers and agents, against any and all claims arising from Researcher's use
43
- of the Database, including but not limited to Researcher's use of any copies
44
- of copyrighted images that he or she may create from the Database.
45
-
46
- 4. Researcher may provide research associates and colleagues with access to
47
- the Database provided that they first agree to be bound by these terms and
48
- conditions.
49
-
50
- 5. Princeton University, Stanford University and Hugging Face reserve the
51
- right to terminate Researcher's access to the Database at any time.
52
-
53
- 6. If Researcher is employed by a for-profit, commercial entity, Researcher's
54
- employer shall also be bound by these terms and conditions, and Researcher
55
- hereby represents that he or she is fully authorized to enter into this
56
- agreement on behalf of such employer.
57
-
58
- 7. The law of the State of New Jersey shall apply to all disputes under this
59
- agreement.
60
  tags:
61
  - imagenet
62
  - imagenet-1k
63
  - ilsvrc-2012
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
  ---
65
 
66
  # Repack Information
 
7
  - en
8
  license:
9
  - other
 
10
  multilinguality:
11
  - monolingual
 
 
12
  size_categories:
13
  - 1M<n<10M
14
  source_datasets:
 
17
  - image-classification
18
  task_ids:
19
  - multi-class-image-classification
20
+ paperswithcode_id: imagenet-1k-1
21
+ pretty_name: ImageNet
22
+ license_details: imagenet-agreement
23
+ extra_gated_prompt: 'By clicking on “Access repository” below, you also agree to ImageNet
24
+ Terms of Access:
25
+
26
+ [RESEARCHER_FULLNAME] (the "Researcher") has requested permission to use the ImageNet
27
+ database (the "Database") at Princeton University and Stanford University. In exchange
28
+ for such permission, Researcher hereby agrees to the following terms and conditions:
29
+
30
+ 1. Researcher shall use the Database only for non-commercial research and educational
31
+ purposes.
32
+
33
+ 2. Princeton University, Stanford University and Hugging Face make no representations
34
+ or warranties regarding the Database, including but not limited to warranties of
35
+ non-infringement or fitness for a particular purpose.
36
+
37
+ 3. Researcher accepts full responsibility for his or her use of the Database and
38
+ shall defend and indemnify the ImageNet team, Princeton University, Stanford University
39
+ and Hugging Face, including their employees, Trustees, officers and agents, against
40
+ any and all claims arising from Researcher''s use of the Database, including but
41
+ not limited to Researcher''s use of any copies of copyrighted images that he or
42
+ she may create from the Database.
43
+
44
+ 4. Researcher may provide research associates and colleagues with access to the
45
+ Database provided that they first agree to be bound by these terms and conditions.
46
+
47
+ 5. Princeton University, Stanford University and Hugging Face reserve the right
48
+ to terminate Researcher''s access to the Database at any time.
49
+
50
+ 6. If Researcher is employed by a for-profit, commercial entity, Researcher''s employer
51
+ shall also be bound by these terms and conditions, and Researcher hereby represents
52
+ that he or she is fully authorized to enter into this agreement on behalf of such
53
+ employer.
54
+
55
+ 7. The law of the State of New Jersey shall apply to all disputes under this agreement.'
 
56
  tags:
57
  - imagenet
58
  - imagenet-1k
59
  - ilsvrc-2012
60
+ dataset_info:
61
+ features:
62
+ - name: image
63
+ dtype: image
64
+ - name: label
65
+ dtype:
66
+ class_label:
67
+ names:
68
+ '0': tench, Tinca tinca
69
+ '1': goldfish, Carassius auratus
70
+ '2': great white shark, white shark, man-eater, man-eating shark, Carcharodon
71
+ carcharias
72
+ '3': tiger shark, Galeocerdo cuvieri
73
+ '4': hammerhead, hammerhead shark
74
+ '5': electric ray, crampfish, numbfish, torpedo
75
+ '6': stingray
76
+ '7': cock
77
+ '8': hen
78
+ '9': ostrich, Struthio camelus
79
+ '10': brambling, Fringilla montifringilla
80
+ '11': goldfinch, Carduelis carduelis
81
+ '12': house finch, linnet, Carpodacus mexicanus
82
+ '13': junco, snowbird
83
+ '14': indigo bunting, indigo finch, indigo bird, Passerina cyanea
84
+ '15': robin, American robin, Turdus migratorius
85
+ '16': bulbul
86
+ '17': jay
87
+ '18': magpie
88
+ '19': chickadee
89
+ '20': water ouzel, dipper
90
+ '21': kite
91
+ '22': bald eagle, American eagle, Haliaeetus leucocephalus
92
+ '23': vulture
93
+ '24': great grey owl, great gray owl, Strix nebulosa
94
+ '25': European fire salamander, Salamandra salamandra
95
+ '26': common newt, Triturus vulgaris
96
+ '27': eft
97
+ '28': spotted salamander, Ambystoma maculatum
98
+ '29': axolotl, mud puppy, Ambystoma mexicanum
99
+ '30': bullfrog, Rana catesbeiana
100
+ '31': tree frog, tree-frog
101
+ '32': tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui
102
+ '33': loggerhead, loggerhead turtle, Caretta caretta
103
+ '34': leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea
104
+ '35': mud turtle
105
+ '36': terrapin
106
+ '37': box turtle, box tortoise
107
+ '38': banded gecko
108
+ '39': common iguana, iguana, Iguana iguana
109
+ '40': American chameleon, anole, Anolis carolinensis
110
+ '41': whiptail, whiptail lizard
111
+ '42': agama
112
+ '43': frilled lizard, Chlamydosaurus kingi
113
+ '44': alligator lizard
114
+ '45': Gila monster, Heloderma suspectum
115
+ '46': green lizard, Lacerta viridis
116
+ '47': African chameleon, Chamaeleo chamaeleon
117
+ '48': Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus
118
+ komodoensis
119
+ '49': African crocodile, Nile crocodile, Crocodylus niloticus
120
+ '50': American alligator, Alligator mississipiensis
121
+ '51': triceratops
122
+ '52': thunder snake, worm snake, Carphophis amoenus
123
+ '53': ringneck snake, ring-necked snake, ring snake
124
+ '54': hognose snake, puff adder, sand viper
125
+ '55': green snake, grass snake
126
+ '56': king snake, kingsnake
127
+ '57': garter snake, grass snake
128
+ '58': water snake
129
+ '59': vine snake
130
+ '60': night snake, Hypsiglena torquata
131
+ '61': boa constrictor, Constrictor constrictor
132
+ '62': rock python, rock snake, Python sebae
133
+ '63': Indian cobra, Naja naja
134
+ '64': green mamba
135
+ '65': sea snake
136
+ '66': horned viper, cerastes, sand viper, horned asp, Cerastes cornutus
137
+ '67': diamondback, diamondback rattlesnake, Crotalus adamanteus
138
+ '68': sidewinder, horned rattlesnake, Crotalus cerastes
139
+ '69': trilobite
140
+ '70': harvestman, daddy longlegs, Phalangium opilio
141
+ '71': scorpion
142
+ '72': black and gold garden spider, Argiope aurantia
143
+ '73': barn spider, Araneus cavaticus
144
+ '74': garden spider, Aranea diademata
145
+ '75': black widow, Latrodectus mactans
146
+ '76': tarantula
147
+ '77': wolf spider, hunting spider
148
+ '78': tick
149
+ '79': centipede
150
+ '80': black grouse
151
+ '81': ptarmigan
152
+ '82': ruffed grouse, partridge, Bonasa umbellus
153
+ '83': prairie chicken, prairie grouse, prairie fowl
154
+ '84': peacock
155
+ '85': quail
156
+ '86': partridge
157
+ '87': African grey, African gray, Psittacus erithacus
158
+ '88': macaw
159
+ '89': sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita
160
+ '90': lorikeet
161
+ '91': coucal
162
+ '92': bee eater
163
+ '93': hornbill
164
+ '94': hummingbird
165
+ '95': jacamar
166
+ '96': toucan
167
+ '97': drake
168
+ '98': red-breasted merganser, Mergus serrator
169
+ '99': goose
170
+ '100': black swan, Cygnus atratus
171
+ '101': tusker
172
+ '102': echidna, spiny anteater, anteater
173
+ '103': platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus
174
+ anatinus
175
+ '104': wallaby, brush kangaroo
176
+ '105': koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus
177
+ '106': wombat
178
+ '107': jellyfish
179
+ '108': sea anemone, anemone
180
+ '109': brain coral
181
+ '110': flatworm, platyhelminth
182
+ '111': nematode, nematode worm, roundworm
183
+ '112': conch
184
+ '113': snail
185
+ '114': slug
186
+ '115': sea slug, nudibranch
187
+ '116': chiton, coat-of-mail shell, sea cradle, polyplacophore
188
+ '117': chambered nautilus, pearly nautilus, nautilus
189
+ '118': Dungeness crab, Cancer magister
190
+ '119': rock crab, Cancer irroratus
191
+ '120': fiddler crab
192
+ '121': king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes
193
+ camtschatica
194
+ '122': American lobster, Northern lobster, Maine lobster, Homarus americanus
195
+ '123': spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish
196
+ '124': crayfish, crawfish, crawdad, crawdaddy
197
+ '125': hermit crab
198
+ '126': isopod
199
+ '127': white stork, Ciconia ciconia
200
+ '128': black stork, Ciconia nigra
201
+ '129': spoonbill
202
+ '130': flamingo
203
+ '131': little blue heron, Egretta caerulea
204
+ '132': American egret, great white heron, Egretta albus
205
+ '133': bittern
206
+ '134': crane
207
+ '135': limpkin, Aramus pictus
208
+ '136': European gallinule, Porphyrio porphyrio
209
+ '137': American coot, marsh hen, mud hen, water hen, Fulica americana
210
+ '138': bustard
211
+ '139': ruddy turnstone, Arenaria interpres
212
+ '140': red-backed sandpiper, dunlin, Erolia alpina
213
+ '141': redshank, Tringa totanus
214
+ '142': dowitcher
215
+ '143': oystercatcher, oyster catcher
216
+ '144': pelican
217
+ '145': king penguin, Aptenodytes patagonica
218
+ '146': albatross, mollymawk
219
+ '147': grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius
220
+ robustus
221
+ '148': killer whale, killer, orca, grampus, sea wolf, Orcinus orca
222
+ '149': dugong, Dugong dugon
223
+ '150': sea lion
224
+ '151': Chihuahua
225
+ '152': Japanese spaniel
226
+ '153': Maltese dog, Maltese terrier, Maltese
227
+ '154': Pekinese, Pekingese, Peke
228
+ '155': Shih-Tzu
229
+ '156': Blenheim spaniel
230
+ '157': papillon
231
+ '158': toy terrier
232
+ '159': Rhodesian ridgeback
233
+ '160': Afghan hound, Afghan
234
+ '161': basset, basset hound
235
+ '162': beagle
236
+ '163': bloodhound, sleuthhound
237
+ '164': bluetick
238
+ '165': black-and-tan coonhound
239
+ '166': Walker hound, Walker foxhound
240
+ '167': English foxhound
241
+ '168': redbone
242
+ '169': borzoi, Russian wolfhound
243
+ '170': Irish wolfhound
244
+ '171': Italian greyhound
245
+ '172': whippet
246
+ '173': Ibizan hound, Ibizan Podenco
247
+ '174': Norwegian elkhound, elkhound
248
+ '175': otterhound, otter hound
249
+ '176': Saluki, gazelle hound
250
+ '177': Scottish deerhound, deerhound
251
+ '178': Weimaraner
252
+ '179': Staffordshire bullterrier, Staffordshire bull terrier
253
+ '180': American Staffordshire terrier, Staffordshire terrier, American pit
254
+ bull terrier, pit bull terrier
255
+ '181': Bedlington terrier
256
+ '182': Border terrier
257
+ '183': Kerry blue terrier
258
+ '184': Irish terrier
259
+ '185': Norfolk terrier
260
+ '186': Norwich terrier
261
+ '187': Yorkshire terrier
262
+ '188': wire-haired fox terrier
263
+ '189': Lakeland terrier
264
+ '190': Sealyham terrier, Sealyham
265
+ '191': Airedale, Airedale terrier
266
+ '192': cairn, cairn terrier
267
+ '193': Australian terrier
268
+ '194': Dandie Dinmont, Dandie Dinmont terrier
269
+ '195': Boston bull, Boston terrier
270
+ '196': miniature schnauzer
271
+ '197': giant schnauzer
272
+ '198': standard schnauzer
273
+ '199': Scotch terrier, Scottish terrier, Scottie
274
+ '200': Tibetan terrier, chrysanthemum dog
275
+ '201': silky terrier, Sydney silky
276
+ '202': soft-coated wheaten terrier
277
+ '203': West Highland white terrier
278
+ '204': Lhasa, Lhasa apso
279
+ '205': flat-coated retriever
280
+ '206': curly-coated retriever
281
+ '207': golden retriever
282
+ '208': Labrador retriever
283
+ '209': Chesapeake Bay retriever
284
+ '210': German short-haired pointer
285
+ '211': vizsla, Hungarian pointer
286
+ '212': English setter
287
+ '213': Irish setter, red setter
288
+ '214': Gordon setter
289
+ '215': Brittany spaniel
290
+ '216': clumber, clumber spaniel
291
+ '217': English springer, English springer spaniel
292
+ '218': Welsh springer spaniel
293
+ '219': cocker spaniel, English cocker spaniel, cocker
294
+ '220': Sussex spaniel
295
+ '221': Irish water spaniel
296
+ '222': kuvasz
297
+ '223': schipperke
298
+ '224': groenendael
299
+ '225': malinois
300
+ '226': briard
301
+ '227': kelpie
302
+ '228': komondor
303
+ '229': Old English sheepdog, bobtail
304
+ '230': Shetland sheepdog, Shetland sheep dog, Shetland
305
+ '231': collie
306
+ '232': Border collie
307
+ '233': Bouvier des Flandres, Bouviers des Flandres
308
+ '234': Rottweiler
309
+ '235': German shepherd, German shepherd dog, German police dog, alsatian
310
+ '236': Doberman, Doberman pinscher
311
+ '237': miniature pinscher
312
+ '238': Greater Swiss Mountain dog
313
+ '239': Bernese mountain dog
314
+ '240': Appenzeller
315
+ '241': EntleBucher
316
+ '242': boxer
317
+ '243': bull mastiff
318
+ '244': Tibetan mastiff
319
+ '245': French bulldog
320
+ '246': Great Dane
321
+ '247': Saint Bernard, St Bernard
322
+ '248': Eskimo dog, husky
323
+ '249': malamute, malemute, Alaskan malamute
324
+ '250': Siberian husky
325
+ '251': dalmatian, coach dog, carriage dog
326
+ '252': affenpinscher, monkey pinscher, monkey dog
327
+ '253': basenji
328
+ '254': pug, pug-dog
329
+ '255': Leonberg
330
+ '256': Newfoundland, Newfoundland dog
331
+ '257': Great Pyrenees
332
+ '258': Samoyed, Samoyede
333
+ '259': Pomeranian
334
+ '260': chow, chow chow
335
+ '261': keeshond
336
+ '262': Brabancon griffon
337
+ '263': Pembroke, Pembroke Welsh corgi
338
+ '264': Cardigan, Cardigan Welsh corgi
339
+ '265': toy poodle
340
+ '266': miniature poodle
341
+ '267': standard poodle
342
+ '268': Mexican hairless
343
+ '269': timber wolf, grey wolf, gray wolf, Canis lupus
344
+ '270': white wolf, Arctic wolf, Canis lupus tundrarum
345
+ '271': red wolf, maned wolf, Canis rufus, Canis niger
346
+ '272': coyote, prairie wolf, brush wolf, Canis latrans
347
+ '273': dingo, warrigal, warragal, Canis dingo
348
+ '274': dhole, Cuon alpinus
349
+ '275': African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
350
+ '276': hyena, hyaena
351
+ '277': red fox, Vulpes vulpes
352
+ '278': kit fox, Vulpes macrotis
353
+ '279': Arctic fox, white fox, Alopex lagopus
354
+ '280': grey fox, gray fox, Urocyon cinereoargenteus
355
+ '281': tabby, tabby cat
356
+ '282': tiger cat
357
+ '283': Persian cat
358
+ '284': Siamese cat, Siamese
359
+ '285': Egyptian cat
360
+ '286': cougar, puma, catamount, mountain lion, painter, panther, Felis concolor
361
+ '287': lynx, catamount
362
+ '288': leopard, Panthera pardus
363
+ '289': snow leopard, ounce, Panthera uncia
364
+ '290': jaguar, panther, Panthera onca, Felis onca
365
+ '291': lion, king of beasts, Panthera leo
366
+ '292': tiger, Panthera tigris
367
+ '293': cheetah, chetah, Acinonyx jubatus
368
+ '294': brown bear, bruin, Ursus arctos
369
+ '295': American black bear, black bear, Ursus americanus, Euarctos americanus
370
+ '296': ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus
371
+ '297': sloth bear, Melursus ursinus, Ursus ursinus
372
+ '298': mongoose
373
+ '299': meerkat, mierkat
374
+ '300': tiger beetle
375
+ '301': ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
376
+ '302': ground beetle, carabid beetle
377
+ '303': long-horned beetle, longicorn, longicorn beetle
378
+ '304': leaf beetle, chrysomelid
379
+ '305': dung beetle
380
+ '306': rhinoceros beetle
381
+ '307': weevil
382
+ '308': fly
383
+ '309': bee
384
+ '310': ant, emmet, pismire
385
+ '311': grasshopper, hopper
386
+ '312': cricket
387
+ '313': walking stick, walkingstick, stick insect
388
+ '314': cockroach, roach
389
+ '315': mantis, mantid
390
+ '316': cicada, cicala
391
+ '317': leafhopper
392
+ '318': lacewing, lacewing fly
393
+ '319': dragonfly, darning needle, devil's darning needle, sewing needle,
394
+ snake feeder, snake doctor, mosquito hawk, skeeter hawk
395
+ '320': damselfly
396
+ '321': admiral
397
+ '322': ringlet, ringlet butterfly
398
+ '323': monarch, monarch butterfly, milkweed butterfly, Danaus plexippus
399
+ '324': cabbage butterfly
400
+ '325': sulphur butterfly, sulfur butterfly
401
+ '326': lycaenid, lycaenid butterfly
402
+ '327': starfish, sea star
403
+ '328': sea urchin
404
+ '329': sea cucumber, holothurian
405
+ '330': wood rabbit, cottontail, cottontail rabbit
406
+ '331': hare
407
+ '332': Angora, Angora rabbit
408
+ '333': hamster
409
+ '334': porcupine, hedgehog
410
+ '335': fox squirrel, eastern fox squirrel, Sciurus niger
411
+ '336': marmot
412
+ '337': beaver
413
+ '338': guinea pig, Cavia cobaya
414
+ '339': sorrel
415
+ '340': zebra
416
+ '341': hog, pig, grunter, squealer, Sus scrofa
417
+ '342': wild boar, boar, Sus scrofa
418
+ '343': warthog
419
+ '344': hippopotamus, hippo, river horse, Hippopotamus amphibius
420
+ '345': ox
421
+ '346': water buffalo, water ox, Asiatic buffalo, Bubalus bubalis
422
+ '347': bison
423
+ '348': ram, tup
424
+ '349': bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain
425
+ sheep, Ovis canadensis
426
+ '350': ibex, Capra ibex
427
+ '351': hartebeest
428
+ '352': impala, Aepyceros melampus
429
+ '353': gazelle
430
+ '354': Arabian camel, dromedary, Camelus dromedarius
431
+ '355': llama
432
+ '356': weasel
433
+ '357': mink
434
+ '358': polecat, fitch, foulmart, foumart, Mustela putorius
435
+ '359': black-footed ferret, ferret, Mustela nigripes
436
+ '360': otter
437
+ '361': skunk, polecat, wood pussy
438
+ '362': badger
439
+ '363': armadillo
440
+ '364': three-toed sloth, ai, Bradypus tridactylus
441
+ '365': orangutan, orang, orangutang, Pongo pygmaeus
442
+ '366': gorilla, Gorilla gorilla
443
+ '367': chimpanzee, chimp, Pan troglodytes
444
+ '368': gibbon, Hylobates lar
445
+ '369': siamang, Hylobates syndactylus, Symphalangus syndactylus
446
+ '370': guenon, guenon monkey
447
+ '371': patas, hussar monkey, Erythrocebus patas
448
+ '372': baboon
449
+ '373': macaque
450
+ '374': langur
451
+ '375': colobus, colobus monkey
452
+ '376': proboscis monkey, Nasalis larvatus
453
+ '377': marmoset
454
+ '378': capuchin, ringtail, Cebus capucinus
455
+ '379': howler monkey, howler
456
+ '380': titi, titi monkey
457
+ '381': spider monkey, Ateles geoffroyi
458
+ '382': squirrel monkey, Saimiri sciureus
459
+ '383': Madagascar cat, ring-tailed lemur, Lemur catta
460
+ '384': indri, indris, Indri indri, Indri brevicaudatus
461
+ '385': Indian elephant, Elephas maximus
462
+ '386': African elephant, Loxodonta africana
463
+ '387': lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens
464
+ '388': giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca
465
+ '389': barracouta, snoek
466
+ '390': eel
467
+ '391': coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus
468
+ kisutch
469
+ '392': rock beauty, Holocanthus tricolor
470
+ '393': anemone fish
471
+ '394': sturgeon
472
+ '395': gar, garfish, garpike, billfish, Lepisosteus osseus
473
+ '396': lionfish
474
+ '397': puffer, pufferfish, blowfish, globefish
475
+ '398': abacus
476
+ '399': abaya
477
+ '400': academic gown, academic robe, judge's robe
478
+ '401': accordion, piano accordion, squeeze box
479
+ '402': acoustic guitar
480
+ '403': aircraft carrier, carrier, flattop, attack aircraft carrier
481
+ '404': airliner
482
+ '405': airship, dirigible
483
+ '406': altar
484
+ '407': ambulance
485
+ '408': amphibian, amphibious vehicle
486
+ '409': analog clock
487
+ '410': apiary, bee house
488
+ '411': apron
489
+ '412': ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin,
490
+ dustbin, trash barrel, trash bin
491
+ '413': assault rifle, assault gun
492
+ '414': backpack, back pack, knapsack, packsack, rucksack, haversack
493
+ '415': bakery, bakeshop, bakehouse
494
+ '416': balance beam, beam
495
+ '417': balloon
496
+ '418': ballpoint, ballpoint pen, ballpen, Biro
497
+ '419': Band Aid
498
+ '420': banjo
499
+ '421': bannister, banister, balustrade, balusters, handrail
500
+ '422': barbell
501
+ '423': barber chair
502
+ '424': barbershop
503
+ '425': barn
504
+ '426': barometer
505
+ '427': barrel, cask
506
+ '428': barrow, garden cart, lawn cart, wheelbarrow
507
+ '429': baseball
508
+ '430': basketball
509
+ '431': bassinet
510
+ '432': bassoon
511
+ '433': bathing cap, swimming cap
512
+ '434': bath towel
513
+ '435': bathtub, bathing tub, bath, tub
514
+ '436': beach wagon, station wagon, wagon, estate car, beach waggon, station
515
+ waggon, waggon
516
+ '437': beacon, lighthouse, beacon light, pharos
517
+ '438': beaker
518
+ '439': bearskin, busby, shako
519
+ '440': beer bottle
520
+ '441': beer glass
521
+ '442': bell cote, bell cot
522
+ '443': bib
523
+ '444': bicycle-built-for-two, tandem bicycle, tandem
524
+ '445': bikini, two-piece
525
+ '446': binder, ring-binder
526
+ '447': binoculars, field glasses, opera glasses
527
+ '448': birdhouse
528
+ '449': boathouse
529
+ '450': bobsled, bobsleigh, bob
530
+ '451': bolo tie, bolo, bola tie, bola
531
+ '452': bonnet, poke bonnet
532
+ '453': bookcase
533
+ '454': bookshop, bookstore, bookstall
534
+ '455': bottlecap
535
+ '456': bow
536
+ '457': bow tie, bow-tie, bowtie
537
+ '458': brass, memorial tablet, plaque
538
+ '459': brassiere, bra, bandeau
539
+ '460': breakwater, groin, groyne, mole, bulwark, seawall, jetty
540
+ '461': breastplate, aegis, egis
541
+ '462': broom
542
+ '463': bucket, pail
543
+ '464': buckle
544
+ '465': bulletproof vest
545
+ '466': bullet train, bullet
546
+ '467': butcher shop, meat market
547
+ '468': cab, hack, taxi, taxicab
548
+ '469': caldron, cauldron
549
+ '470': candle, taper, wax light
550
+ '471': cannon
551
+ '472': canoe
552
+ '473': can opener, tin opener
553
+ '474': cardigan
554
+ '475': car mirror
555
+ '476': carousel, carrousel, merry-go-round, roundabout, whirligig
556
+ '477': carpenter's kit, tool kit
557
+ '478': carton
558
+ '479': car wheel
559
+ '480': cash machine, cash dispenser, automated teller machine, automatic
560
+ teller machine, automated teller, automatic teller, ATM
561
+ '481': cassette
562
+ '482': cassette player
563
+ '483': castle
564
+ '484': catamaran
565
+ '485': CD player
566
+ '486': cello, violoncello
567
+ '487': cellular telephone, cellular phone, cellphone, cell, mobile phone
568
+ '488': chain
569
+ '489': chainlink fence
570
+ '490': chain mail, ring mail, mail, chain armor, chain armour, ring armor,
571
+ ring armour
572
+ '491': chain saw, chainsaw
573
+ '492': chest
574
+ '493': chiffonier, commode
575
+ '494': chime, bell, gong
576
+ '495': china cabinet, china closet
577
+ '496': Christmas stocking
578
+ '497': church, church building
579
+ '498': cinema, movie theater, movie theatre, movie house, picture palace
580
+ '499': cleaver, meat cleaver, chopper
581
+ '500': cliff dwelling
582
+ '501': cloak
583
+ '502': clog, geta, patten, sabot
584
+ '503': cocktail shaker
585
+ '504': coffee mug
586
+ '505': coffeepot
587
+ '506': coil, spiral, volute, whorl, helix
588
+ '507': combination lock
589
+ '508': computer keyboard, keypad
590
+ '509': confectionery, confectionary, candy store
591
+ '510': container ship, containership, container vessel
592
+ '511': convertible
593
+ '512': corkscrew, bottle screw
594
+ '513': cornet, horn, trumpet, trump
595
+ '514': cowboy boot
596
+ '515': cowboy hat, ten-gallon hat
597
+ '516': cradle
598
+ '517': crane2
599
+ '518': crash helmet
600
+ '519': crate
601
+ '520': crib, cot
602
+ '521': Crock Pot
603
+ '522': croquet ball
604
+ '523': crutch
605
+ '524': cuirass
606
+ '525': dam, dike, dyke
607
+ '526': desk
608
+ '527': desktop computer
609
+ '528': dial telephone, dial phone
610
+ '529': diaper, nappy, napkin
611
+ '530': digital clock
612
+ '531': digital watch
613
+ '532': dining table, board
614
+ '533': dishrag, dishcloth
615
+ '534': dishwasher, dish washer, dishwashing machine
616
+ '535': disk brake, disc brake
617
+ '536': dock, dockage, docking facility
618
+ '537': dogsled, dog sled, dog sleigh
619
+ '538': dome
620
+ '539': doormat, welcome mat
621
+ '540': drilling platform, offshore rig
622
+ '541': drum, membranophone, tympan
623
+ '542': drumstick
624
+ '543': dumbbell
625
+ '544': Dutch oven
626
+ '545': electric fan, blower
627
+ '546': electric guitar
628
+ '547': electric locomotive
629
+ '548': entertainment center
630
+ '549': envelope
631
+ '550': espresso maker
632
+ '551': face powder
633
+ '552': feather boa, boa
634
+ '553': file, file cabinet, filing cabinet
635
+ '554': fireboat
636
+ '555': fire engine, fire truck
637
+ '556': fire screen, fireguard
638
+ '557': flagpole, flagstaff
639
+ '558': flute, transverse flute
640
+ '559': folding chair
641
+ '560': football helmet
642
+ '561': forklift
643
+ '562': fountain
644
+ '563': fountain pen
645
+ '564': four-poster
646
+ '565': freight car
647
+ '566': French horn, horn
648
+ '567': frying pan, frypan, skillet
649
+ '568': fur coat
650
+ '569': garbage truck, dustcart
651
+ '570': gasmask, respirator, gas helmet
652
+ '571': gas pump, gasoline pump, petrol pump, island dispenser
653
+ '572': goblet
654
+ '573': go-kart
655
+ '574': golf ball
656
+ '575': golfcart, golf cart
657
+ '576': gondola
658
+ '577': gong, tam-tam
659
+ '578': gown
660
+ '579': grand piano, grand
661
+ '580': greenhouse, nursery, glasshouse
662
+ '581': grille, radiator grille
663
+ '582': grocery store, grocery, food market, market
664
+ '583': guillotine
665
+ '584': hair slide
666
+ '585': hair spray
667
+ '586': half track
668
+ '587': hammer
669
+ '588': hamper
670
+ '589': hand blower, blow dryer, blow drier, hair dryer, hair drier
671
+ '590': hand-held computer, hand-held microcomputer
672
+ '591': handkerchief, hankie, hanky, hankey
673
+ '592': hard disc, hard disk, fixed disk
674
+ '593': harmonica, mouth organ, harp, mouth harp
675
+ '594': harp
676
+ '595': harvester, reaper
677
+ '596': hatchet
678
+ '597': holster
679
+ '598': home theater, home theatre
680
+ '599': honeycomb
681
+ '600': hook, claw
682
+ '601': hoopskirt, crinoline
683
+ '602': horizontal bar, high bar
684
+ '603': horse cart, horse-cart
685
+ '604': hourglass
686
+ '605': iPod
687
+ '606': iron, smoothing iron
688
+ '607': jack-o'-lantern
689
+ '608': jean, blue jean, denim
690
+ '609': jeep, landrover
691
+ '610': jersey, T-shirt, tee shirt
692
+ '611': jigsaw puzzle
693
+ '612': jinrikisha, ricksha, rickshaw
694
+ '613': joystick
695
+ '614': kimono
696
+ '615': knee pad
697
+ '616': knot
698
+ '617': lab coat, laboratory coat
699
+ '618': ladle
700
+ '619': lampshade, lamp shade
701
+ '620': laptop, laptop computer
702
+ '621': lawn mower, mower
703
+ '622': lens cap, lens cover
704
+ '623': letter opener, paper knife, paperknife
705
+ '624': library
706
+ '625': lifeboat
707
+ '626': lighter, light, igniter, ignitor
708
+ '627': limousine, limo
709
+ '628': liner, ocean liner
710
+ '629': lipstick, lip rouge
711
+ '630': Loafer
712
+ '631': lotion
713
+ '632': loudspeaker, speaker, speaker unit, loudspeaker system, speaker system
714
+ '633': loupe, jeweler's loupe
715
+ '634': lumbermill, sawmill
716
+ '635': magnetic compass
717
+ '636': mailbag, postbag
718
+ '637': mailbox, letter box
719
+ '638': maillot
720
+ '639': maillot, tank suit
721
+ '640': manhole cover
722
+ '641': maraca
723
+ '642': marimba, xylophone
724
+ '643': mask
725
+ '644': matchstick
726
+ '645': maypole
727
+ '646': maze, labyrinth
728
+ '647': measuring cup
729
+ '648': medicine chest, medicine cabinet
730
+ '649': megalith, megalithic structure
731
+ '650': microphone, mike
732
+ '651': microwave, microwave oven
733
+ '652': military uniform
734
+ '653': milk can
735
+ '654': minibus
736
+ '655': miniskirt, mini
737
+ '656': minivan
738
+ '657': missile
739
+ '658': mitten
740
+ '659': mixing bowl
741
+ '660': mobile home, manufactured home
742
+ '661': Model T
743
+ '662': modem
744
+ '663': monastery
745
+ '664': monitor
746
+ '665': moped
747
+ '666': mortar
748
+ '667': mortarboard
749
+ '668': mosque
750
+ '669': mosquito net
751
+ '670': motor scooter, scooter
752
+ '671': mountain bike, all-terrain bike, off-roader
753
+ '672': mountain tent
754
+ '673': mouse, computer mouse
755
+ '674': mousetrap
756
+ '675': moving van
757
+ '676': muzzle
758
+ '677': nail
759
+ '678': neck brace
760
+ '679': necklace
761
+ '680': nipple
762
+ '681': notebook, notebook computer
763
+ '682': obelisk
764
+ '683': oboe, hautboy, hautbois
765
+ '684': ocarina, sweet potato
766
+ '685': odometer, hodometer, mileometer, milometer
767
+ '686': oil filter
768
+ '687': organ, pipe organ
769
+ '688': oscilloscope, scope, cathode-ray oscilloscope, CRO
770
+ '689': overskirt
771
+ '690': oxcart
772
+ '691': oxygen mask
773
+ '692': packet
774
+ '693': paddle, boat paddle
775
+ '694': paddlewheel, paddle wheel
776
+ '695': padlock
777
+ '696': paintbrush
778
+ '697': pajama, pyjama, pj's, jammies
779
+ '698': palace
780
+ '699': panpipe, pandean pipe, syrinx
781
+ '700': paper towel
782
+ '701': parachute, chute
783
+ '702': parallel bars, bars
784
+ '703': park bench
785
+ '704': parking meter
786
+ '705': passenger car, coach, carriage
787
+ '706': patio, terrace
788
+ '707': pay-phone, pay-station
789
+ '708': pedestal, plinth, footstall
790
+ '709': pencil box, pencil case
791
+ '710': pencil sharpener
792
+ '711': perfume, essence
793
+ '712': Petri dish
794
+ '713': photocopier
795
+ '714': pick, plectrum, plectron
796
+ '715': pickelhaube
797
+ '716': picket fence, paling
798
+ '717': pickup, pickup truck
799
+ '718': pier
800
+ '719': piggy bank, penny bank
801
+ '720': pill bottle
802
+ '721': pillow
803
+ '722': ping-pong ball
804
+ '723': pinwheel
805
+ '724': pirate, pirate ship
806
+ '725': pitcher, ewer
807
+ '726': plane, carpenter's plane, woodworking plane
808
+ '727': planetarium
809
+ '728': plastic bag
810
+ '729': plate rack
811
+ '730': plow, plough
812
+ '731': plunger, plumber's helper
813
+ '732': Polaroid camera, Polaroid Land camera
814
+ '733': pole
815
+ '734': police van, police wagon, paddy wagon, patrol wagon, wagon, black
816
+ Maria
817
+ '735': poncho
818
+ '736': pool table, billiard table, snooker table
819
+ '737': pop bottle, soda bottle
820
+ '738': pot, flowerpot
821
+ '739': potter's wheel
822
+ '740': power drill
823
+ '741': prayer rug, prayer mat
824
+ '742': printer
825
+ '743': prison, prison house
826
+ '744': projectile, missile
827
+ '745': projector
828
+ '746': puck, hockey puck
829
+ '747': punching bag, punch bag, punching ball, punchball
830
+ '748': purse
831
+ '749': quill, quill pen
832
+ '750': quilt, comforter, comfort, puff
833
+ '751': racer, race car, racing car
834
+ '752': racket, racquet
835
+ '753': radiator
836
+ '754': radio, wireless
837
+ '755': radio telescope, radio reflector
838
+ '756': rain barrel
839
+ '757': recreational vehicle, RV, R.V.
840
+ '758': reel
841
+ '759': reflex camera
842
+ '760': refrigerator, icebox
843
+ '761': remote control, remote
844
+ '762': restaurant, eating house, eating place, eatery
845
+ '763': revolver, six-gun, six-shooter
846
+ '764': rifle
847
+ '765': rocking chair, rocker
848
+ '766': rotisserie
849
+ '767': rubber eraser, rubber, pencil eraser
850
+ '768': rugby ball
851
+ '769': rule, ruler
852
+ '770': running shoe
853
+ '771': safe
854
+ '772': safety pin
855
+ '773': saltshaker, salt shaker
856
+ '774': sandal
857
+ '775': sarong
858
+ '776': sax, saxophone
859
+ '777': scabbard
860
+ '778': scale, weighing machine
861
+ '779': school bus
862
+ '780': schooner
863
+ '781': scoreboard
864
+ '782': screen, CRT screen
865
+ '783': screw
866
+ '784': screwdriver
867
+ '785': seat belt, seatbelt
868
+ '786': sewing machine
869
+ '787': shield, buckler
870
+ '788': shoe shop, shoe-shop, shoe store
871
+ '789': shoji
872
+ '790': shopping basket
873
+ '791': shopping cart
874
+ '792': shovel
875
+ '793': shower cap
876
+ '794': shower curtain
877
+ '795': ski
878
+ '796': ski mask
879
+ '797': sleeping bag
880
+ '798': slide rule, slipstick
881
+ '799': sliding door
882
+ '800': slot, one-armed bandit
883
+ '801': snorkel
884
+ '802': snowmobile
885
+ '803': snowplow, snowplough
886
+ '804': soap dispenser
887
+ '805': soccer ball
888
+ '806': sock
889
+ '807': solar dish, solar collector, solar furnace
890
+ '808': sombrero
891
+ '809': soup bowl
892
+ '810': space bar
893
+ '811': space heater
894
+ '812': space shuttle
895
+ '813': spatula
896
+ '814': speedboat
897
+ '815': spider web, spider's web
898
+ '816': spindle
899
+ '817': sports car, sport car
900
+ '818': spotlight, spot
901
+ '819': stage
902
+ '820': steam locomotive
903
+ '821': steel arch bridge
904
+ '822': steel drum
905
+ '823': stethoscope
906
+ '824': stole
907
+ '825': stone wall
908
+ '826': stopwatch, stop watch
909
+ '827': stove
910
+ '828': strainer
911
+ '829': streetcar, tram, tramcar, trolley, trolley car
912
+ '830': stretcher
913
+ '831': studio couch, day bed
914
+ '832': stupa, tope
915
+ '833': submarine, pigboat, sub, U-boat
916
+ '834': suit, suit of clothes
917
+ '835': sundial
918
+ '836': sunglass
919
+ '837': sunglasses, dark glasses, shades
920
+ '838': sunscreen, sunblock, sun blocker
921
+ '839': suspension bridge
922
+ '840': swab, swob, mop
923
+ '841': sweatshirt
924
+ '842': swimming trunks, bathing trunks
925
+ '843': swing
926
+ '844': switch, electric switch, electrical switch
927
+ '845': syringe
928
+ '846': table lamp
929
+ '847': tank, army tank, armored combat vehicle, armoured combat vehicle
930
+ '848': tape player
931
+ '849': teapot
932
+ '850': teddy, teddy bear
933
+ '851': television, television system
934
+ '852': tennis ball
935
+ '853': thatch, thatched roof
936
+ '854': theater curtain, theatre curtain
937
+ '855': thimble
938
+ '856': thresher, thrasher, threshing machine
939
+ '857': throne
940
+ '858': tile roof
941
+ '859': toaster
942
+ '860': tobacco shop, tobacconist shop, tobacconist
943
+ '861': toilet seat
944
+ '862': torch
945
+ '863': totem pole
946
+ '864': tow truck, tow car, wrecker
947
+ '865': toyshop
948
+ '866': tractor
949
+ '867': trailer truck, tractor trailer, trucking rig, rig, articulated lorry,
950
+ semi
951
+ '868': tray
952
+ '869': trench coat
953
+ '870': tricycle, trike, velocipede
954
+ '871': trimaran
955
+ '872': tripod
956
+ '873': triumphal arch
957
+ '874': trolleybus, trolley coach, trackless trolley
958
+ '875': trombone
959
+ '876': tub, vat
960
+ '877': turnstile
961
+ '878': typewriter keyboard
962
+ '879': umbrella
963
+ '880': unicycle, monocycle
964
+ '881': upright, upright piano
965
+ '882': vacuum, vacuum cleaner
966
+ '883': vase
967
+ '884': vault
968
+ '885': velvet
969
+ '886': vending machine
970
+ '887': vestment
971
+ '888': viaduct
972
+ '889': violin, fiddle
973
+ '890': volleyball
974
+ '891': waffle iron
975
+ '892': wall clock
976
+ '893': wallet, billfold, notecase, pocketbook
977
+ '894': wardrobe, closet, press
978
+ '895': warplane, military plane
979
+ '896': washbasin, handbasin, washbowl, lavabo, wash-hand basin
980
+ '897': washer, automatic washer, washing machine
981
+ '898': water bottle
982
+ '899': water jug
983
+ '900': water tower
984
+ '901': whiskey jug
985
+ '902': whistle
986
+ '903': wig
987
+ '904': window screen
988
+ '905': window shade
989
+ '906': Windsor tie
990
+ '907': wine bottle
991
+ '908': wing
992
+ '909': wok
993
+ '910': wooden spoon
994
+ '911': wool, woolen, woollen
995
+ '912': worm fence, snake fence, snake-rail fence, Virginia fence
996
+ '913': wreck
997
+ '914': yawl
998
+ '915': yurt
999
+ '916': web site, website, internet site, site
1000
+ '917': comic book
1001
+ '918': crossword puzzle, crossword
1002
+ '919': street sign
1003
+ '920': traffic light, traffic signal, stoplight
1004
+ '921': book jacket, dust cover, dust jacket, dust wrapper
1005
+ '922': menu
1006
+ '923': plate
1007
+ '924': guacamole
1008
+ '925': consomme
1009
+ '926': hot pot, hotpot
1010
+ '927': trifle
1011
+ '928': ice cream, icecream
1012
+ '929': ice lolly, lolly, lollipop, popsicle
1013
+ '930': French loaf
1014
+ '931': bagel, beigel
1015
+ '932': pretzel
1016
+ '933': cheeseburger
1017
+ '934': hotdog, hot dog, red hot
1018
+ '935': mashed potato
1019
+ '936': head cabbage
1020
+ '937': broccoli
1021
+ '938': cauliflower
1022
+ '939': zucchini, courgette
1023
+ '940': spaghetti squash
1024
+ '941': acorn squash
1025
+ '942': butternut squash
1026
+ '943': cucumber, cuke
1027
+ '944': artichoke, globe artichoke
1028
+ '945': bell pepper
1029
+ '946': cardoon
1030
+ '947': mushroom
1031
+ '948': Granny Smith
1032
+ '949': strawberry
1033
+ '950': orange
1034
+ '951': lemon
1035
+ '952': fig
1036
+ '953': pineapple, ananas
1037
+ '954': banana
1038
+ '955': jackfruit, jak, jack
1039
+ '956': custard apple
1040
+ '957': pomegranate
1041
+ '958': hay
1042
+ '959': carbonara
1043
+ '960': chocolate sauce, chocolate syrup
1044
+ '961': dough
1045
+ '962': meat loaf, meatloaf
1046
+ '963': pizza, pizza pie
1047
+ '964': potpie
1048
+ '965': burrito
1049
+ '966': red wine
1050
+ '967': espresso
1051
+ '968': cup
1052
+ '969': eggnog
1053
+ '970': alp
1054
+ '971': bubble
1055
+ '972': cliff, drop, drop-off
1056
+ '973': coral reef
1057
+ '974': geyser
1058
+ '975': lakeside, lakeshore
1059
+ '976': promontory, headland, head, foreland
1060
+ '977': sandbar, sand bar
1061
+ '978': seashore, coast, seacoast, sea-coast
1062
+ '979': valley, vale
1063
+ '980': volcano
1064
+ '981': ballplayer, baseball player
1065
+ '982': groom, bridegroom
1066
+ '983': scuba diver
1067
+ '984': rapeseed
1068
+ '985': daisy
1069
+ '986': yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus,
1070
+ Cypripedium parviflorum
1071
+ '987': corn
1072
+ '988': acorn
1073
+ '989': hip, rose hip, rosehip
1074
+ '990': buckeye, horse chestnut, conker
1075
+ '991': coral fungus
1076
+ '992': agaric
1077
+ '993': gyromitra
1078
+ '994': stinkhorn, carrion fungus
1079
+ '995': earthstar
1080
+ '996': hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola
1081
+ frondosa
1082
+ '997': bolete
1083
+ '998': ear, spike, capitulum
1084
+ '999': toilet tissue, toilet paper, bathroom tissue
1085
+ '1000': none
1086
+ splits:
1087
+ - name: train
1088
+ num_bytes: 19891500949.711
1089
+ num_examples: 1281167
1090
+ - name: validation
1091
+ num_bytes: 708730650.0
1092
+ num_examples: 50000
1093
+ - name: test
1094
+ num_bytes: 1418148200.0
1095
+ num_examples: 100000
1096
+ download_size: 19759304051
1097
+ dataset_size: 22018379799.711
1098
+ configs:
1099
+ - config_name: default
1100
+ data_files:
1101
+ - split: train
1102
+ path: data/train-*
1103
+ - split: validation
1104
+ path: data/validation-*
1105
+ - split: test
1106
+ path: data/test-*
1107
  ---
1108
 
1109
  # Repack Information
data/test-00000-of-00003.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:479e408713a9e51cf4e03061a9145a83dac98a0ad5bb5457db0d0e21de284172
3
+ size 469051040
data/test-00001-of-00003.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc368724cde357e215217adaee72a542267b65e9308daa31b3084ac712ef38fb
3
+ size 468807894
data/test-00002-of-00003.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26750b4a13becf2bbd90683f7bd4838c9ac5bc77d0bb513082776a40884a8842
3
+ size 468453138
data/train-00000-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e39671153384c070d56fa42806b188390af4d8fe71bc8a685c6296aa0ea3a19e
3
+ size 412671982
data/train-00001-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d6eaa5c27c5219e4fb18a9673894942705e836b6cf4bf96b890d28b2ab4d993
3
+ size 502076482
data/train-00002-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a3522de1aee2a85a215bb0b02ab7bf596dd410a0e6166e734915324176fee97
3
+ size 498509409
data/train-00003-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef3b4060641e4dcd68c45a2c4e9124668de12ee0c61f8583fbc4e6d0ab56a51d
3
+ size 448171592
data/train-00004-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:410a023e8ca61db6c9a887ac8be36a7004af973c4588bd6f45da5b2eee34af4f
3
+ size 498650200
data/train-00005-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd8e6a967df4b3de7b4543c6572d13779438e889e97f2e41eda93cae0492da89
3
+ size 458216630
data/train-00006-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1bfab1948e5cd2c00d96c64be6ff09ce890766e00e1f4ef96970220ebd5fc71d
3
+ size 427770934
data/train-00007-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00a8ebe82fe7e042c7b6de0dc85a915b81aa0ad71f9e0ff578954b278c905c6f
3
+ size 453754507
data/train-00008-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92288c684115a27593cf592bc80d10f3826a24bee3a923d7c7353eb7bebfa7b9
3
+ size 450654416
data/train-00009-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d73e18ca932101de4de947444d7560214bc035904894226c2541db96bf7095e
3
+ size 450233226
data/train-00010-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53bda06fb9aae4f30de5cc3ba207de23c420bf958ee853da1e1b0c530cd75ec0
3
+ size 456340044
data/train-00011-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2db8203dfa96b35fd12829120220b7cdd9ede983c9af3449a19acb4f7d71d5c
3
+ size 496019835
data/train-00012-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8371cb152a6fe94e320ab304e2caa2c484e59e270b4c5c580f7ad028e95f722
3
+ size 413378733
data/train-00013-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66ab27802af0b6cbfa9b1191a9cc63b2f9e32f3859b392224c2afb5d78d84299
3
+ size 508571140
data/train-00014-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a992d45b104ef8c17ce97b2baf9c35dabe3049809d13b18a1e41e60b1c0b2c9f
3
+ size 491964587
data/train-00015-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c46f70f2df4c4dd071c0811ef6eb477df0dab0ff70cab683842a906bd3904e0
3
+ size 488278319
data/train-00016-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b8c3965b16211e1fb382d14ab930f082fea09bff47729f2c28a557ceea57845
3
+ size 417104097
data/train-00017-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33e7d4d69cd6267ea201536072ba8e7af454b23b4e634ce87d12245e6321e10d
3
+ size 424639869
data/train-00018-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32a691bb4ccc00e333ddf35ff119e9031130d46adb7f314be6cbed7be338e6ae
3
+ size 435866884
data/train-00019-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d83c4fa6ab3abab22db1b9f5b3f8eed0afa7c5db6512bc35ce5c676b58e1d94a
3
+ size 433776857
data/train-00020-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b531e7c4db37503b233077c6febb971ea88c3a4d91e519fc698997059a39812
3
+ size 416494219
data/train-00021-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da3186b265da61812cc6b7252fad3ee89af907ade7ffd32c3cab985c92494fc4
3
+ size 431546443
data/train-00022-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4dc2f2360e3fb9460cf62f6d93fe04d4b9807e93df01f09bee737c9e7f6f3546
3
+ size 414222900
data/train-00023-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b5a071f2f7dd332c5ba52e5f99232025a55380b830bd787be03ad6acc43a28f
3
+ size 437687988
data/train-00024-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef8fc22b561af3632f13e057de85ab9fe5798f124c8d1052b1bbdb1bf08d77fd
3
+ size 406779922
data/train-00025-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1af37c8a4d61720050b19bd90392e7a8956b383c6cdb875fb79d0a13e7eb467
3
+ size 418154373
data/train-00026-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95565ef2d9cd548cdee8ebf8222ba308563d1c67b8e46687aa630e27c0e6dee2
3
+ size 428675195
data/train-00027-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd4d6ec99b23ba12ea778c8811c3feb87b90196706c07ab22e6d6f86bca7a810
3
+ size 410881484
data/train-00028-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ded8137f220eadd72e25c4939f806257e586bfb2c9311bb9998b948cc2dacee
3
+ size 403364925
data/train-00029-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ea1d85adcd259575220cd185e9388e86cf43e40403659e11e80c8a97b751ee7
3
+ size 416389650
data/train-00030-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:536eee59751159ce16407d13c6c3d6258c826b63e12e2a4b22975ae672fd956e
3
+ size 413999601
data/train-00031-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12688e4da9b1ae3fbd4aa2dc4cd3ee04e60c8028ccde5b4a7a86a222995fc5a1
3
+ size 420469050
data/train-00032-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b48f20bc2ff297fa410d11afdaa27d2f2784c6f7eb0998f38ebbad946ed24592
3
+ size 433261993
data/train-00033-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c61dd29d661c138fef693ccd4e04dedd64daffdc043b3591c6c9eed6d27a86d2
3
+ size 412622002
data/train-00034-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7955fd0cb3e8c40cb439d185208afa4becd23eb13406aa245f78f680786a7cc9
3
+ size 453143611
data/train-00035-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca3fec2d560a13fbd7fe8990a9712bd733291ec5dc4a19ecd5ad59eb11f28727
3
+ size 408058872
data/train-00036-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:84e3e9d7934646d945820188c752243222da7e9cde020cbd2ed66529e808240a
3
+ size 425528409
data/train-00037-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69fccfc11d181f1c1362847efc2b1e3a4446c02592f0c31fb545576d038fccb9
3
+ size 436023339
data/train-00038-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0aa83ea1a01ec9bb36c7a510681c87b91dd53c7e45bba88ceba65783d1cce1f5
3
+ size 431730256
data/train-00039-of-00040.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a370bdbd11d33ef6c16d992f1519ccc7d9aa7554c865a3a795c811d32b42c0a0
3
+ size 464228199
data/validation-00000-of-00002.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:399ae54c309fa71f99b6f3c121ad4507ae3103f0205923e6695b6a6bac52c6eb
3
+ size 351766666
data/validation-00001-of-00002.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c665d47c5057e237be8c15348570466478e4a73b8d4ff913ed319cd8e3f16f7
3
+ size 351313139