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adds dataset script

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  1. README.md +546 -0
  2. _bird-species-dataset.py → bird-species-dataset.py +14 -12
  3. data/test/ABBOTTS BABBLER/1.jpg +0 -3
  4. data/test/ABBOTTS BABBLER/2.jpg +0 -3
  5. data/test/ABBOTTS BABBLER/3.jpg +0 -3
  6. data/test/ABBOTTS BABBLER/4.jpg +0 -3
  7. data/test/ABBOTTS BABBLER/5.jpg +0 -3
  8. data/test/ABBOTTS BOOBY/1.jpg +0 -3
  9. data/test/ABBOTTS BOOBY/2.jpg +0 -3
  10. data/test/ABBOTTS BOOBY/3.jpg +0 -3
  11. data/test/ABBOTTS BOOBY/4.jpg +0 -3
  12. data/test/ABBOTTS BOOBY/5.jpg +0 -3
  13. data/test/ABYSSINIAN GROUND HORNBILL/1.jpg +0 -3
  14. data/test/ABYSSINIAN GROUND HORNBILL/2.jpg +0 -3
  15. data/test/ABYSSINIAN GROUND HORNBILL/3.jpg +0 -3
  16. data/test/ABYSSINIAN GROUND HORNBILL/4.jpg +0 -3
  17. data/test/ABYSSINIAN GROUND HORNBILL/5.jpg +0 -3
  18. data/test/AFRICAN CROWNED CRANE/1.jpg +0 -3
  19. data/test/AFRICAN CROWNED CRANE/2.jpg +0 -3
  20. data/test/AFRICAN CROWNED CRANE/3.jpg +0 -3
  21. data/test/AFRICAN CROWNED CRANE/4.jpg +0 -3
  22. data/test/AFRICAN CROWNED CRANE/5.jpg +0 -3
  23. data/test/AFRICAN EMERALD CUCKOO/1.jpg +0 -3
  24. data/test/AFRICAN EMERALD CUCKOO/2.jpg +0 -3
  25. data/test/AFRICAN EMERALD CUCKOO/3.jpg +0 -3
  26. data/test/AFRICAN EMERALD CUCKOO/4.jpg +0 -3
  27. data/test/AFRICAN EMERALD CUCKOO/5.jpg +0 -3
  28. data/test/AFRICAN FIREFINCH/1.jpg +0 -3
  29. data/test/AFRICAN FIREFINCH/2.jpg +0 -3
  30. data/test/AFRICAN FIREFINCH/3.jpg +0 -3
  31. data/test/AFRICAN FIREFINCH/4.jpg +0 -3
  32. data/test/AFRICAN FIREFINCH/5.jpg +0 -3
  33. data/test/AFRICAN OYSTER CATCHER/1.jpg +0 -3
  34. data/test/AFRICAN OYSTER CATCHER/2.jpg +0 -3
  35. data/test/AFRICAN OYSTER CATCHER/3.jpg +0 -3
  36. data/test/AFRICAN OYSTER CATCHER/4.jpg +0 -3
  37. data/test/AFRICAN OYSTER CATCHER/5.jpg +0 -3
  38. data/test/AFRICAN PIED HORNBILL/1.jpg +0 -3
  39. data/test/AFRICAN PIED HORNBILL/2.jpg +0 -3
  40. data/test/AFRICAN PIED HORNBILL/3.jpg +0 -3
  41. data/test/AFRICAN PIED HORNBILL/4.jpg +0 -3
  42. data/test/AFRICAN PIED HORNBILL/5.jpg +0 -3
  43. data/test/AFRICAN PYGMY GOOSE/1.jpg +0 -3
  44. data/test/AFRICAN PYGMY GOOSE/2.jpg +0 -3
  45. data/test/AFRICAN PYGMY GOOSE/3.jpg +0 -3
  46. data/test/AFRICAN PYGMY GOOSE/4.jpg +0 -3
  47. data/test/AFRICAN PYGMY GOOSE/5.jpg +0 -3
  48. data/test/ALBATROSS/1.jpg +0 -3
  49. data/test/ALBATROSS/2.jpg +0 -3
  50. data/test/ALBATROSS/3.jpg +0 -3
README.md CHANGED
@@ -11,6 +11,552 @@ task_ids:
11
  pretty_name: Bird Species
12
  tags:
13
  - biology
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  ---
15
 
16
  # Dataset Card for "Bird Species"
 
11
  pretty_name: Bird Species
12
  tags:
13
  - biology
14
+ dataset_info:
15
+ config_name: bird_species_dataset
16
+ features:
17
+ - name: image
18
+ dtype: image
19
+ - name: label
20
+ dtype:
21
+ class_label:
22
+ names:
23
+ '0': ABBOTTS BABBLER
24
+ '1': ABBOTTS BOOBY
25
+ '2': ABYSSINIAN GROUND HORNBILL
26
+ '3': AFRICAN CROWNED CRANE
27
+ '4': AFRICAN EMERALD CUCKOO
28
+ '5': AFRICAN FIREFINCH
29
+ '6': AFRICAN OYSTER CATCHER
30
+ '7': AFRICAN PIED HORNBILL
31
+ '8': AFRICAN PYGMY GOOSE
32
+ '9': ALBATROSS
33
+ '10': ALBERTS TOWHEE
34
+ '11': ALEXANDRINE PARAKEET
35
+ '12': ALPINE CHOUGH
36
+ '13': ALTAMIRA YELLOWTHROAT
37
+ '14': AMERICAN AVOCET
38
+ '15': AMERICAN BITTERN
39
+ '16': AMERICAN COOT
40
+ '17': AMERICAN DIPPER
41
+ '18': AMERICAN FLAMINGO
42
+ '19': AMERICAN GOLDFINCH
43
+ '20': AMERICAN KESTREL
44
+ '21': AMERICAN PIPIT
45
+ '22': AMERICAN REDSTART
46
+ '23': AMERICAN ROBIN
47
+ '24': AMERICAN WIGEON
48
+ '25': AMETHYST WOODSTAR
49
+ '26': ANDEAN GOOSE
50
+ '27': ANDEAN LAPWING
51
+ '28': ANDEAN SISKIN
52
+ '29': ANHINGA
53
+ '30': ANIANIAU
54
+ '31': ANNAS HUMMINGBIRD
55
+ '32': ANTBIRD
56
+ '33': ANTILLEAN EUPHONIA
57
+ '34': APAPANE
58
+ '35': APOSTLEBIRD
59
+ '36': ARARIPE MANAKIN
60
+ '37': ASHY STORM PETREL
61
+ '38': ASHY THRUSHBIRD
62
+ '39': ASIAN CRESTED IBIS
63
+ '40': ASIAN DOLLARD BIRD
64
+ '41': ASIAN GREEN BEE EATER
65
+ '42': ASIAN OPENBILL STORK
66
+ '43': AUCKLAND SHAQ
67
+ '44': AUSTRAL CANASTERO
68
+ '45': AUSTRALASIAN FIGBIRD
69
+ '46': AVADAVAT
70
+ '47': AZARAS SPINETAIL
71
+ '48': AZURE BREASTED PITTA
72
+ '49': AZURE JAY
73
+ '50': AZURE TANAGER
74
+ '51': AZURE TIT
75
+ '52': BAIKAL TEAL
76
+ '53': BALD EAGLE
77
+ '54': BALD IBIS
78
+ '55': BALI STARLING
79
+ '56': BALTIMORE ORIOLE
80
+ '57': BANANAQUIT
81
+ '58': BAND TAILED GUAN
82
+ '59': BANDED BROADBILL
83
+ '60': BANDED PITA
84
+ '61': BANDED STILT
85
+ '62': BAR-TAILED GODWIT
86
+ '63': BARN OWL
87
+ '64': BARN SWALLOW
88
+ '65': BARRED PUFFBIRD
89
+ '66': BARROWS GOLDENEYE
90
+ '67': BAY-BREASTED WARBLER
91
+ '68': BEARDED BARBET
92
+ '69': BEARDED BELLBIRD
93
+ '70': BEARDED REEDLING
94
+ '71': BELTED KINGFISHER
95
+ '72': BIRD OF PARADISE
96
+ '73': BLACK AND YELLOW BROADBILL
97
+ '74': BLACK BAZA
98
+ '75': BLACK BREASTED PUFFBIRD
99
+ '76': BLACK COCKATO
100
+ '77': BLACK FACED SPOONBILL
101
+ '78': BLACK FRANCOLIN
102
+ '79': BLACK HEADED CAIQUE
103
+ '80': BLACK NECKED STILT
104
+ '81': BLACK SKIMMER
105
+ '82': BLACK SWAN
106
+ '83': BLACK TAIL CRAKE
107
+ '84': BLACK THROATED BUSHTIT
108
+ '85': BLACK THROATED HUET
109
+ '86': BLACK THROATED WARBLER
110
+ '87': BLACK VENTED SHEARWATER
111
+ '88': BLACK VULTURE
112
+ '89': BLACK-CAPPED CHICKADEE
113
+ '90': BLACK-NECKED GREBE
114
+ '91': BLACK-THROATED SPARROW
115
+ '92': BLACKBURNIAM WARBLER
116
+ '93': BLONDE CRESTED WOODPECKER
117
+ '94': BLOOD PHEASANT
118
+ '95': BLUE COAU
119
+ '96': BLUE DACNIS
120
+ '97': BLUE GRAY GNATCATCHER
121
+ '98': BLUE GROSBEAK
122
+ '99': BLUE GROUSE
123
+ '100': BLUE HERON
124
+ '101': BLUE MALKOHA
125
+ '102': BLUE THROATED PIPING GUAN
126
+ '103': BLUE THROATED TOUCANET
127
+ '104': BOBOLINK
128
+ '105': BORNEAN BRISTLEHEAD
129
+ '106': BORNEAN LEAFBIRD
130
+ '107': BORNEAN PHEASANT
131
+ '108': BRANDT CORMARANT
132
+ '109': BREWERS BLACKBIRD
133
+ '110': BROWN CREPPER
134
+ '111': BROWN HEADED COWBIRD
135
+ '112': BROWN NOODY
136
+ '113': BROWN THRASHER
137
+ '114': BUFFLEHEAD
138
+ '115': BULWERS PHEASANT
139
+ '116': BURCHELLS COURSER
140
+ '117': BUSH TURKEY
141
+ '118': CAATINGA CACHOLOTE
142
+ '119': CABOTS TRAGOPAN
143
+ '120': CACTUS WREN
144
+ '121': CALIFORNIA CONDOR
145
+ '122': CALIFORNIA GULL
146
+ '123': CALIFORNIA QUAIL
147
+ '124': CAMPO FLICKER
148
+ '125': CANARY
149
+ '126': CANVASBACK
150
+ '127': CAPE GLOSSY STARLING
151
+ '128': CAPE LONGCLAW
152
+ '129': CAPE MAY WARBLER
153
+ '130': CAPE ROCK THRUSH
154
+ '131': CAPPED HERON
155
+ '132': CAPUCHINBIRD
156
+ '133': CARMINE BEE-EATER
157
+ '134': CASPIAN TERN
158
+ '135': CASSOWARY
159
+ '136': CEDAR WAXWING
160
+ '137': CERULEAN WARBLER
161
+ '138': CHARA DE COLLAR
162
+ '139': CHATTERING LORY
163
+ '140': CHESTNET BELLIED EUPHONIA
164
+ '141': CHESTNUT WINGED CUCKOO
165
+ '142': CHINESE BAMBOO PARTRIDGE
166
+ '143': CHINESE POND HERON
167
+ '144': CHIPPING SPARROW
168
+ '145': CHUCAO TAPACULO
169
+ '146': CHUKAR PARTRIDGE
170
+ '147': CINNAMON ATTILA
171
+ '148': CINNAMON FLYCATCHER
172
+ '149': CINNAMON TEAL
173
+ '150': CLARKS GREBE
174
+ '151': CLARKS NUTCRACKER
175
+ '152': COCK OF THE ROCK
176
+ '153': COCKATOO
177
+ '154': COLLARED ARACARI
178
+ '155': COLLARED CRESCENTCHEST
179
+ '156': COMMON FIRECREST
180
+ '157': COMMON GRACKLE
181
+ '158': COMMON HOUSE MARTIN
182
+ '159': COMMON IORA
183
+ '160': COMMON LOON
184
+ '161': COMMON POORWILL
185
+ '162': COMMON STARLING
186
+ '163': COPPERSMITH BARBET
187
+ '164': COPPERY TAILED COUCAL
188
+ '165': CRAB PLOVER
189
+ '166': CRANE HAWK
190
+ '167': CREAM COLORED WOODPECKER
191
+ '168': CRESTED AUKLET
192
+ '169': CRESTED CARACARA
193
+ '170': CRESTED COUA
194
+ '171': CRESTED FIREBACK
195
+ '172': CRESTED KINGFISHER
196
+ '173': CRESTED NUTHATCH
197
+ '174': CRESTED OROPENDOLA
198
+ '175': CRESTED SERPENT EAGLE
199
+ '176': CRESTED SHRIKETIT
200
+ '177': CRESTED WOOD PARTRIDGE
201
+ '178': CRIMSON CHAT
202
+ '179': CRIMSON SUNBIRD
203
+ '180': CROW
204
+ '181': CUBAN TODY
205
+ '182': CUBAN TROGON
206
+ '183': CURL CRESTED ARACURI
207
+ '184': D-ARNAUDS BARBET
208
+ '185': DALMATIAN PELICAN
209
+ '186': DARJEELING WOODPECKER
210
+ '187': DARK EYED JUNCO
211
+ '188': DAURIAN REDSTART
212
+ '189': DEMOISELLE CRANE
213
+ '190': DOUBLE BARRED FINCH
214
+ '191': DOUBLE BRESTED CORMARANT
215
+ '192': DOUBLE EYED FIG PARROT
216
+ '193': DOWNY WOODPECKER
217
+ '194': DUNLIN
218
+ '195': DUSKY LORY
219
+ '196': DUSKY ROBIN
220
+ '197': EARED PITA
221
+ '198': EASTERN BLUEBIRD
222
+ '199': EASTERN BLUEBONNET
223
+ '200': EASTERN GOLDEN WEAVER
224
+ '201': EASTERN MEADOWLARK
225
+ '202': EASTERN ROSELLA
226
+ '203': EASTERN TOWEE
227
+ '204': EASTERN WIP POOR WILL
228
+ '205': EASTERN YELLOW ROBIN
229
+ '206': ECUADORIAN HILLSTAR
230
+ '207': EGYPTIAN GOOSE
231
+ '208': ELEGANT TROGON
232
+ '209': ELLIOTS PHEASANT
233
+ '210': EMERALD TANAGER
234
+ '211': EMPEROR PENGUIN
235
+ '212': EMU
236
+ '213': ENGGANO MYNA
237
+ '214': EURASIAN BULLFINCH
238
+ '215': EURASIAN GOLDEN ORIOLE
239
+ '216': EURASIAN MAGPIE
240
+ '217': EUROPEAN GOLDFINCH
241
+ '218': EUROPEAN TURTLE DOVE
242
+ '219': EVENING GROSBEAK
243
+ '220': FAIRY BLUEBIRD
244
+ '221': FAIRY PENGUIN
245
+ '222': FAIRY TERN
246
+ '223': FAN TAILED WIDOW
247
+ '224': FASCIATED WREN
248
+ '225': FIERY MINIVET
249
+ '226': FIORDLAND PENGUIN
250
+ '227': FIRE TAILLED MYZORNIS
251
+ '228': FLAME BOWERBIRD
252
+ '229': FLAME TANAGER
253
+ '230': FOREST WAGTAIL
254
+ '231': FRIGATE
255
+ '232': FRILL BACK PIGEON
256
+ '233': GAMBELS QUAIL
257
+ '234': GANG GANG COCKATOO
258
+ '235': GILA WOODPECKER
259
+ '236': GILDED FLICKER
260
+ '237': GLOSSY IBIS
261
+ '238': GO AWAY BIRD
262
+ '239': GOLD WING WARBLER
263
+ '240': GOLDEN BOWER BIRD
264
+ '241': GOLDEN CHEEKED WARBLER
265
+ '242': GOLDEN CHLOROPHONIA
266
+ '243': GOLDEN EAGLE
267
+ '244': GOLDEN PARAKEET
268
+ '245': GOLDEN PHEASANT
269
+ '246': GOLDEN PIPIT
270
+ '247': GOULDIAN FINCH
271
+ '248': GRANDALA
272
+ '249': GRAY CATBIRD
273
+ '250': GRAY KINGBIRD
274
+ '251': GRAY PARTRIDGE
275
+ '252': GREAT ARGUS
276
+ '253': GREAT GRAY OWL
277
+ '254': GREAT JACAMAR
278
+ '255': GREAT KISKADEE
279
+ '256': GREAT POTOO
280
+ '257': GREAT TINAMOU
281
+ '258': GREAT XENOPS
282
+ '259': GREATER PEWEE
283
+ '260': GREATER PRAIRIE CHICKEN
284
+ '261': GREATOR SAGE GROUSE
285
+ '262': GREEN BROADBILL
286
+ '263': GREEN JAY
287
+ '264': GREEN MAGPIE
288
+ '265': GREEN WINGED DOVE
289
+ '266': GREY CUCKOOSHRIKE
290
+ '267': GREY HEADED CHACHALACA
291
+ '268': GREY HEADED FISH EAGLE
292
+ '269': GREY PLOVER
293
+ '270': GROVED BILLED ANI
294
+ '271': GUINEA TURACO
295
+ '272': GUINEAFOWL
296
+ '273': GURNEYS PITTA
297
+ '274': GYRFALCON
298
+ '275': HAMERKOP
299
+ '276': HARLEQUIN DUCK
300
+ '277': HARLEQUIN QUAIL
301
+ '278': HARPY EAGLE
302
+ '279': HAWAIIAN GOOSE
303
+ '280': HAWFINCH
304
+ '281': HELMET VANGA
305
+ '282': HEPATIC TANAGER
306
+ '283': HIMALAYAN BLUETAIL
307
+ '284': HIMALAYAN MONAL
308
+ '285': HOATZIN
309
+ '286': HOODED MERGANSER
310
+ '287': HOOPOES
311
+ '288': HORNED GUAN
312
+ '289': HORNED LARK
313
+ '290': HORNED SUNGEM
314
+ '291': HOUSE FINCH
315
+ '292': HOUSE SPARROW
316
+ '293': HYACINTH MACAW
317
+ '294': IBERIAN MAGPIE
318
+ '295': IBISBILL
319
+ '296': IMPERIAL SHAQ
320
+ '297': INCA TERN
321
+ '298': INDIAN BUSTARD
322
+ '299': INDIAN PITTA
323
+ '300': INDIAN ROLLER
324
+ '301': INDIAN VULTURE
325
+ '302': INDIGO BUNTING
326
+ '303': INDIGO FLYCATCHER
327
+ '304': INLAND DOTTEREL
328
+ '305': IVORY BILLED ARACARI
329
+ '306': IVORY GULL
330
+ '307': IWI
331
+ '308': JABIRU
332
+ '309': JACK SNIPE
333
+ '310': JACOBIN PIGEON
334
+ '311': JANDAYA PARAKEET
335
+ '312': JAPANESE ROBIN
336
+ '313': JAVA SPARROW
337
+ '314': JOCOTOCO ANTPITTA
338
+ '315': KAGU
339
+ '316': KAKAPO
340
+ '317': KILLDEAR
341
+ '318': KING EIDER
342
+ '319': KING VULTURE
343
+ '320': KIWI
344
+ '321': KNOB BILLED DUCK
345
+ '322': KOOKABURRA
346
+ '323': LARK BUNTING
347
+ '324': LAUGHING GULL
348
+ '325': LAZULI BUNTING
349
+ '326': LESSER ADJUTANT
350
+ '327': LILAC ROLLER
351
+ '328': LIMPKIN
352
+ '329': LITTLE AUK
353
+ '330': LOGGERHEAD SHRIKE
354
+ '331': LONG-EARED OWL
355
+ '332': LOONEY BIRDS
356
+ '333': LUCIFER HUMMINGBIRD
357
+ '334': MAGPIE GOOSE
358
+ '335': MALABAR HORNBILL
359
+ '336': MALACHITE KINGFISHER
360
+ '337': MALAGASY WHITE EYE
361
+ '338': MALEO
362
+ '339': MALLARD DUCK
363
+ '340': MANDRIN DUCK
364
+ '341': MANGROVE CUCKOO
365
+ '342': MARABOU STORK
366
+ '343': MASKED BOBWHITE
367
+ '344': MASKED BOOBY
368
+ '345': MASKED LAPWING
369
+ '346': MCKAYS BUNTING
370
+ '347': MERLIN
371
+ '348': MIKADO PHEASANT
372
+ '349': MILITARY MACAW
373
+ '350': MOURNING DOVE
374
+ '351': MYNA
375
+ '352': NICOBAR PIGEON
376
+ '353': NOISY FRIARBIRD
377
+ '354': NORTHERN BEARDLESS TYRANNULET
378
+ '355': NORTHERN CARDINAL
379
+ '356': NORTHERN FLICKER
380
+ '357': NORTHERN FULMAR
381
+ '358': NORTHERN GANNET
382
+ '359': NORTHERN GOSHAWK
383
+ '360': NORTHERN JACANA
384
+ '361': NORTHERN MOCKINGBIRD
385
+ '362': NORTHERN PARULA
386
+ '363': NORTHERN RED BISHOP
387
+ '364': NORTHERN SHOVELER
388
+ '365': OCELLATED TURKEY
389
+ '366': OILBIRD
390
+ '367': OKINAWA RAIL
391
+ '368': ORANGE BREASTED TROGON
392
+ '369': ORANGE BRESTED BUNTING
393
+ '370': ORIENTAL BAY OWL
394
+ '371': ORNATE HAWK EAGLE
395
+ '372': OSPREY
396
+ '373': OSTRICH
397
+ '374': OVENBIRD
398
+ '375': OYSTER CATCHER
399
+ '376': PAINTED BUNTING
400
+ '377': PALILA
401
+ '378': PALM NUT VULTURE
402
+ '379': PARADISE TANAGER
403
+ '380': PARAKETT AUKLET
404
+ '381': PARUS MAJOR
405
+ '382': PATAGONIAN SIERRA FINCH
406
+ '383': PEACOCK
407
+ '384': PEREGRINE FALCON
408
+ '385': PHAINOPEPLA
409
+ '386': PHILIPPINE EAGLE
410
+ '387': PINK ROBIN
411
+ '388': PLUSH CRESTED JAY
412
+ '389': POMARINE JAEGER
413
+ '390': PUFFIN
414
+ '391': PUNA TEAL
415
+ '392': PURPLE FINCH
416
+ '393': PURPLE GALLINULE
417
+ '394': PURPLE MARTIN
418
+ '395': PURPLE SWAMPHEN
419
+ '396': PYGMY KINGFISHER
420
+ '397': PYRRHULOXIA
421
+ '398': QUETZAL
422
+ '399': RAINBOW LORIKEET
423
+ '400': RAZORBILL
424
+ '401': RED BEARDED BEE EATER
425
+ '402': RED BELLIED PITTA
426
+ '403': RED BILLED TROPICBIRD
427
+ '404': RED BROWED FINCH
428
+ '405': RED CROSSBILL
429
+ '406': RED FACED CORMORANT
430
+ '407': RED FACED WARBLER
431
+ '408': RED FODY
432
+ '409': RED HEADED DUCK
433
+ '410': RED HEADED WOODPECKER
434
+ '411': RED KNOT
435
+ '412': RED LEGGED HONEYCREEPER
436
+ '413': RED NAPED TROGON
437
+ '414': RED SHOULDERED HAWK
438
+ '415': RED TAILED HAWK
439
+ '416': RED TAILED THRUSH
440
+ '417': RED WINGED BLACKBIRD
441
+ '418': RED WISKERED BULBUL
442
+ '419': REGENT BOWERBIRD
443
+ '420': RING-NECKED PHEASANT
444
+ '421': ROADRUNNER
445
+ '422': ROCK DOVE
446
+ '423': ROSE BREASTED COCKATOO
447
+ '424': ROSE BREASTED GROSBEAK
448
+ '425': ROSEATE SPOONBILL
449
+ '426': ROSY FACED LOVEBIRD
450
+ '427': ROUGH LEG BUZZARD
451
+ '428': ROYAL FLYCATCHER
452
+ '429': RUBY CROWNED KINGLET
453
+ '430': RUBY THROATED HUMMINGBIRD
454
+ '431': RUDDY SHELDUCK
455
+ '432': RUDY KINGFISHER
456
+ '433': RUFOUS KINGFISHER
457
+ '434': RUFOUS TREPE
458
+ '435': RUFUOS MOTMOT
459
+ '436': SAMATRAN THRUSH
460
+ '437': SAND MARTIN
461
+ '438': SANDHILL CRANE
462
+ '439': SATYR TRAGOPAN
463
+ '440': SAYS PHOEBE
464
+ '441': SCARLET CROWNED FRUIT DOVE
465
+ '442': SCARLET FACED LIOCICHLA
466
+ '443': SCARLET IBIS
467
+ '444': SCARLET MACAW
468
+ '445': SCARLET TANAGER
469
+ '446': SHOEBILL
470
+ '447': SHORT BILLED DOWITCHER
471
+ '448': SMITHS LONGSPUR
472
+ '449': SNOW GOOSE
473
+ '450': SNOW PARTRIDGE
474
+ '451': SNOWY EGRET
475
+ '452': SNOWY OWL
476
+ '453': SNOWY PLOVER
477
+ '454': SNOWY SHEATHBILL
478
+ '455': SORA
479
+ '456': SPANGLED COTINGA
480
+ '457': SPLENDID WREN
481
+ '458': SPOON BILED SANDPIPER
482
+ '459': SPOTTED CATBIRD
483
+ '460': SPOTTED WHISTLING DUCK
484
+ '461': SQUACCO HERON
485
+ '462': SRI LANKA BLUE MAGPIE
486
+ '463': STEAMER DUCK
487
+ '464': STORK BILLED KINGFISHER
488
+ '465': STRIATED CARACARA
489
+ '466': STRIPED OWL
490
+ '467': STRIPPED MANAKIN
491
+ '468': STRIPPED SWALLOW
492
+ '469': SUNBITTERN
493
+ '470': SUPERB STARLING
494
+ '471': SURF SCOTER
495
+ '472': SWINHOES PHEASANT
496
+ '473': TAILORBIRD
497
+ '474': TAIWAN MAGPIE
498
+ '475': TAKAHE
499
+ '476': TASMANIAN HEN
500
+ '477': TAWNY FROGMOUTH
501
+ '478': TEAL DUCK
502
+ '479': TIT MOUSE
503
+ '480': TOUCHAN
504
+ '481': TOWNSENDS WARBLER
505
+ '482': TREE SWALLOW
506
+ '483': TRICOLORED BLACKBIRD
507
+ '484': TROPICAL KINGBIRD
508
+ '485': TRUMPTER SWAN
509
+ '486': TURKEY VULTURE
510
+ '487': TURQUOISE MOTMOT
511
+ '488': UMBRELLA BIRD
512
+ '489': VARIED THRUSH
513
+ '490': VEERY
514
+ '491': VENEZUELIAN TROUPIAL
515
+ '492': VERDIN
516
+ '493': VERMILION FLYCATHER
517
+ '494': VICTORIA CROWNED PIGEON
518
+ '495': VIOLET BACKED STARLING
519
+ '496': VIOLET CUCKOO
520
+ '497': VIOLET GREEN SWALLOW
521
+ '498': VIOLET TURACO
522
+ '499': VISAYAN HORNBILL
523
+ '500': VULTURINE GUINEAFOWL
524
+ '501': WALL CREAPER
525
+ '502': WATTLED CURASSOW
526
+ '503': WATTLED LAPWING
527
+ '504': WHIMBREL
528
+ '505': WHITE BREASTED WATERHEN
529
+ '506': WHITE BROWED CRAKE
530
+ '507': WHITE CHEEKED TURACO
531
+ '508': WHITE CRESTED HORNBILL
532
+ '509': WHITE EARED HUMMINGBIRD
533
+ '510': WHITE NECKED RAVEN
534
+ '511': WHITE TAILED TROPIC
535
+ '512': WHITE THROATED BEE EATER
536
+ '513': WILD TURKEY
537
+ '514': WILLOW PTARMIGAN
538
+ '515': WILSONS BIRD OF PARADISE
539
+ '516': WOOD DUCK
540
+ '517': WOOD THRUSH
541
+ '518': WOODLAND KINGFISHER
542
+ '519': WRENTIT
543
+ '520': YELLOW BELLIED FLOWERPECKER
544
+ '521': YELLOW BREASTED CHAT
545
+ '522': YELLOW CACIQUE
546
+ '523': YELLOW HEADED BLACKBIRD
547
+ '524': ZEBRA DOVE
548
+ splits:
549
+ - name: train
550
+ num_bytes: 1909727995
551
+ num_examples: 84635
552
+ - name: validation
553
+ num_bytes: 60546210
554
+ num_examples: 2625
555
+ - name: test
556
+ num_bytes: 60898170
557
+ num_examples: 2625
558
+ download_size: 0
559
+ dataset_size: 2031172375
560
  ---
561
 
562
  # Dataset Card for "Bird Species"
_bird-species-dataset.py → bird-species-dataset.py RENAMED
@@ -59,19 +59,21 @@ class BirdSpeciesDataset(datasets.GeneratorBasedBuilder):
59
  def _split_generators(self, dl_manager):
60
  data_dir = _DATA_DIR
61
  return [
62
- SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train")}),
63
- SplitGenerator(name=Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, "valid")}),
64
- SplitGenerator(name=Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test")}),
65
  ]
66
 
67
- def _generate_examples(self, filepath):
68
  """Yields examples."""
69
  idx = 0
70
- for label in os.listdir(filepath):
71
- for f in os.listdir(os.path.join(filepath, label)):
72
- record = {
73
- "image": os.path.join(filepath, label, f),
74
- "label": label,
75
- }
76
- yield idx, record
77
- idx += 1
 
 
 
59
  def _split_generators(self, dl_manager):
60
  data_dir = _DATA_DIR
61
  return [
62
+ SplitGenerator(name=Split.TRAIN, gen_kwargs={"split": "train", "files": dl_manager.iter_archive(os.path.join(data_dir, "train.tar.gz"))}),
63
+ SplitGenerator(name=Split.VALIDATION, gen_kwargs={"split": "valid", "files": dl_manager.iter_archive(os.path.join(data_dir, "valid.tar.gz"))}),
64
+ SplitGenerator(name=Split.TEST, gen_kwargs={"split": "test", "files": dl_manager.iter_archive(os.path.join(data_dir, "test.tar.gz"))}),
65
  ]
66
 
67
+ def _generate_examples(self, files, split):
68
  """Yields examples."""
69
  idx = 0
70
+ for path, fo in files:
71
+
72
+ label = os.path.basename(os.path.dirname(path))
73
+
74
+ record = {
75
+ "image": fo.read(),
76
+ "label": label,
77
+ }
78
+ yield idx, record
79
+ idx += 1
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