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Datasets:
dlfelps
/
cub2011-64

Tasks:
Unconditional Image Generation
Modalities:
Image
Formats:
parquet
Size:
10K - 100K
Libraries:
Datasets
pandas
Dataset card Data Studio Files
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dlfelps commited on
Commit
c11d793
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1 Parent(s): c3f291c

Upload dataset

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  1. README.md +221 -0
  2. data/train-00000-of-00001.parquet +3 -0
README.md ADDED
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+ ---
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': 001.Black_footed_Albatross
11
+ '1': 002.Laysan_Albatross
12
+ '2': 003.Sooty_Albatross
13
+ '3': 004.Groove_billed_Ani
14
+ '4': 005.Crested_Auklet
15
+ '5': 006.Least_Auklet
16
+ '6': 007.Parakeet_Auklet
17
+ '7': 008.Rhinoceros_Auklet
18
+ '8': 009.Brewer_Blackbird
19
+ '9': 010.Red_winged_Blackbird
20
+ '10': 011.Rusty_Blackbird
21
+ '11': 012.Yellow_headed_Blackbird
22
+ '12': 013.Bobolink
23
+ '13': 014.Indigo_Bunting
24
+ '14': 015.Lazuli_Bunting
25
+ '15': 016.Painted_Bunting
26
+ '16': 017.Cardinal
27
+ '17': 018.Spotted_Catbird
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+ '18': 019.Gray_Catbird
29
+ '19': 020.Yellow_breasted_Chat
30
+ '20': 021.Eastern_Towhee
31
+ '21': 022.Chuck_will_Widow
32
+ '22': 023.Brandt_Cormorant
33
+ '23': 024.Red_faced_Cormorant
34
+ '24': 025.Pelagic_Cormorant
35
+ '25': 026.Bronzed_Cowbird
36
+ '26': 027.Shiny_Cowbird
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+ '27': 028.Brown_Creeper
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+ '28': 029.American_Crow
39
+ '29': 030.Fish_Crow
40
+ '30': 031.Black_billed_Cuckoo
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+ '31': 032.Mangrove_Cuckoo
42
+ '32': 033.Yellow_billed_Cuckoo
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+ '33': 034.Gray_crowned_Rosy_Finch
44
+ '34': 035.Purple_Finch
45
+ '35': 036.Northern_Flicker
46
+ '36': 037.Acadian_Flycatcher
47
+ '37': 038.Great_Crested_Flycatcher
48
+ '38': 039.Least_Flycatcher
49
+ '39': 040.Olive_sided_Flycatcher
50
+ '40': 041.Scissor_tailed_Flycatcher
51
+ '41': 042.Vermilion_Flycatcher
52
+ '42': 043.Yellow_bellied_Flycatcher
53
+ '43': 044.Frigatebird
54
+ '44': 045.Northern_Fulmar
55
+ '45': 046.Gadwall
56
+ '46': 047.American_Goldfinch
57
+ '47': 048.European_Goldfinch
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+ '48': 049.Boat_tailed_Grackle
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+ '49': 050.Eared_Grebe
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+ '50': 051.Horned_Grebe
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+ '51': 052.Pied_billed_Grebe
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+ '52': 053.Western_Grebe
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+ '53': 054.Blue_Grosbeak
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+ '54': 055.Evening_Grosbeak
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+ '55': 056.Pine_Grosbeak
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+ '56': 057.Rose_breasted_Grosbeak
67
+ '57': 058.Pigeon_Guillemot
68
+ '58': 059.California_Gull
69
+ '59': 060.Glaucous_winged_Gull
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+ '60': 061.Heermann_Gull
71
+ '61': 062.Herring_Gull
72
+ '62': 063.Ivory_Gull
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+ '63': 064.Ring_billed_Gull
74
+ '64': 065.Slaty_backed_Gull
75
+ '65': 066.Western_Gull
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+ '66': 067.Anna_Hummingbird
77
+ '67': 068.Ruby_throated_Hummingbird
78
+ '68': 069.Rufous_Hummingbird
79
+ '69': 070.Green_Violetear
80
+ '70': 071.Long_tailed_Jaeger
81
+ '71': 072.Pomarine_Jaeger
82
+ '72': 073.Blue_Jay
83
+ '73': 074.Florida_Jay
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+ '74': 075.Green_Jay
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+ '75': 076.Dark_eyed_Junco
86
+ '76': 077.Tropical_Kingbird
87
+ '77': 078.Gray_Kingbird
88
+ '78': 079.Belted_Kingfisher
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+ '79': 080.Green_Kingfisher
90
+ '80': 081.Pied_Kingfisher
91
+ '81': 082.Ringed_Kingfisher
92
+ '82': 083.White_breasted_Kingfisher
93
+ '83': 084.Red_legged_Kittiwake
94
+ '84': 085.Horned_Lark
95
+ '85': 086.Pacific_Loon
96
+ '86': 087.Mallard
97
+ '87': 088.Western_Meadowlark
98
+ '88': 089.Hooded_Merganser
99
+ '89': 090.Red_breasted_Merganser
100
+ '90': 091.Mockingbird
101
+ '91': 092.Nighthawk
102
+ '92': 093.Clark_Nutcracker
103
+ '93': 094.White_breasted_Nuthatch
104
+ '94': 095.Baltimore_Oriole
105
+ '95': 096.Hooded_Oriole
106
+ '96': 097.Orchard_Oriole
107
+ '97': 098.Scott_Oriole
108
+ '98': 099.Ovenbird
109
+ '99': 100.Brown_Pelican
110
+ '100': 101.White_Pelican
111
+ '101': 102.Western_Wood_Pewee
112
+ '102': 103.Sayornis
113
+ '103': 104.American_Pipit
114
+ '104': 105.Whip_poor_Will
115
+ '105': 106.Horned_Puffin
116
+ '106': 107.Common_Raven
117
+ '107': 108.White_necked_Raven
118
+ '108': 109.American_Redstart
119
+ '109': 110.Geococcyx
120
+ '110': 111.Loggerhead_Shrike
121
+ '111': 112.Great_Grey_Shrike
122
+ '112': 113.Baird_Sparrow
123
+ '113': 114.Black_throated_Sparrow
124
+ '114': 115.Brewer_Sparrow
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+ '115': 116.Chipping_Sparrow
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+ '116': 117.Clay_colored_Sparrow
127
+ '117': 118.House_Sparrow
128
+ '118': 119.Field_Sparrow
129
+ '119': 120.Fox_Sparrow
130
+ '120': 121.Grasshopper_Sparrow
131
+ '121': 122.Harris_Sparrow
132
+ '122': 123.Henslow_Sparrow
133
+ '123': 124.Le_Conte_Sparrow
134
+ '124': 125.Lincoln_Sparrow
135
+ '125': 126.Nelson_Sharp_tailed_Sparrow
136
+ '126': 127.Savannah_Sparrow
137
+ '127': 128.Seaside_Sparrow
138
+ '128': 129.Song_Sparrow
139
+ '129': 130.Tree_Sparrow
140
+ '130': 131.Vesper_Sparrow
141
+ '131': 132.White_crowned_Sparrow
142
+ '132': 133.White_throated_Sparrow
143
+ '133': 134.Cape_Glossy_Starling
144
+ '134': 135.Bank_Swallow
145
+ '135': 136.Barn_Swallow
146
+ '136': 137.Cliff_Swallow
147
+ '137': 138.Tree_Swallow
148
+ '138': 139.Scarlet_Tanager
149
+ '139': 140.Summer_Tanager
150
+ '140': 141.Artic_Tern
151
+ '141': 142.Black_Tern
152
+ '142': 143.Caspian_Tern
153
+ '143': 144.Common_Tern
154
+ '144': 145.Elegant_Tern
155
+ '145': 146.Forsters_Tern
156
+ '146': 147.Least_Tern
157
+ '147': 148.Green_tailed_Towhee
158
+ '148': 149.Brown_Thrasher
159
+ '149': 150.Sage_Thrasher
160
+ '150': 151.Black_capped_Vireo
161
+ '151': 152.Blue_headed_Vireo
162
+ '152': 153.Philadelphia_Vireo
163
+ '153': 154.Red_eyed_Vireo
164
+ '154': 155.Warbling_Vireo
165
+ '155': 156.White_eyed_Vireo
166
+ '156': 157.Yellow_throated_Vireo
167
+ '157': 158.Bay_breasted_Warbler
168
+ '158': 159.Black_and_white_Warbler
169
+ '159': 160.Black_throated_Blue_Warbler
170
+ '160': 161.Blue_winged_Warbler
171
+ '161': 162.Canada_Warbler
172
+ '162': 163.Cape_May_Warbler
173
+ '163': 164.Cerulean_Warbler
174
+ '164': 165.Chestnut_sided_Warbler
175
+ '165': 166.Golden_winged_Warbler
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+ '166': 167.Hooded_Warbler
177
+ '167': 168.Kentucky_Warbler
178
+ '168': 169.Magnolia_Warbler
179
+ '169': 170.Mourning_Warbler
180
+ '170': 171.Myrtle_Warbler
181
+ '171': 172.Nashville_Warbler
182
+ '172': 173.Orange_crowned_Warbler
183
+ '173': 174.Palm_Warbler
184
+ '174': 175.Pine_Warbler
185
+ '175': 176.Prairie_Warbler
186
+ '176': 177.Prothonotary_Warbler
187
+ '177': 178.Swainson_Warbler
188
+ '178': 179.Tennessee_Warbler
189
+ '179': 180.Wilson_Warbler
190
+ '180': 181.Worm_eating_Warbler
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+ '181': 182.Yellow_Warbler
192
+ '182': 183.Northern_Waterthrush
193
+ '183': 184.Louisiana_Waterthrush
194
+ '184': 185.Bohemian_Waxwing
195
+ '185': 186.Cedar_Waxwing
196
+ '186': 187.American_Three_toed_Woodpecker
197
+ '187': 188.Pileated_Woodpecker
198
+ '188': 189.Red_bellied_Woodpecker
199
+ '189': 190.Red_cockaded_Woodpecker
200
+ '190': 191.Red_headed_Woodpecker
201
+ '191': 192.Downy_Woodpecker
202
+ '192': 193.Bewick_Wren
203
+ '193': 194.Cactus_Wren
204
+ '194': 195.Carolina_Wren
205
+ '195': 196.House_Wren
206
+ '196': 197.Marsh_Wren
207
+ '197': 198.Rock_Wren
208
+ '198': 199.Winter_Wren
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+ '199': 200.Common_Yellowthroat
210
+ splits:
211
+ - name: train
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+ num_bytes: 109200316.5
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+ num_examples: 11788
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+ download_size: 109118577
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+ dataset_size: 109200316.5
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+ configs:
217
+ - config_name: default
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+ data_files:
219
+ - split: train
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+ path: data/train-*
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+ ---
data/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99df83f3e7e9f9acb4a25c9bda171efb3df02237a5990175f1c444d5a4e91b18
3
+ size 109118577