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vcoco_text_label.py
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# vcoco_obj_text_label = [(0, 'a photo of a person and a person'), (1, 'a photo of a person and a bicycle'),
# (2, 'a photo of a person and a car'), (3, 'a photo of a person and a motorcycle'),
# (4, 'a photo of a person and an airplane'), (5, 'a photo of a person and a bus'),
# (6, 'a photo of a person and a train'), (7, 'a photo of a person and a truck'),
# (8, 'a photo of a person and a boat'), (9, 'a photo of a person and a traffic light'),
# (10, 'a photo of a person and a fire hydrant'), (11, 'a photo of a person and a stop sign'),
# (12, 'a photo of a person and a parking meter'), (13, 'a photo of a person and a bench'),
# (14, 'a photo of a person and a bird'), (15, 'a photo of a person and a cat'),
# (16, 'a photo of a person and a dog'), (17, 'a photo of a person and a horse'),
# (18, 'a photo of a person and a sheep'), (19, 'a photo of a person and a cow'),
# (20, 'a photo of a person and an elephant'), (21, 'a photo of a person and a bear'),
# (22, 'a photo of a person and a zebra'), (23, 'a photo of a person and a giraffe'),
# (24, 'a photo of a person and a backpack'), (25, 'a photo of a person and a umbrella'),
# (26, 'a photo of a person and a handbag'), (27, 'a photo of a person and a tie'),
# (28, 'a photo of a person and a suitcase'), (29, 'a photo of a person and a frisbee'),
# (30, 'a photo of a person and a skis'), (31, 'a photo of a person and a snowboard'),
# (32, 'a photo of a person and a sports ball'), (33, 'a photo of a person and a kite'),
# (34, 'a photo of a person and a baseball bat'),
# (35, 'a photo of a person and a baseball glove'),
# (36, 'a photo of a person and a skateboard'), (37, 'a photo of a person and a surfboard'),
# (38, 'a photo of a person and a tennis racket'), (39, 'a photo of a person and a bottle'),
# (40, 'a photo of a person and a wine glass'), (41, 'a photo of a person and a cup'),
# (42, 'a photo of a person and a fork'), (43, 'a photo of a person and a knife'),
# (44, 'a photo of a person and a spoon'), (45, 'a photo of a person and a bowl'),
# (46, 'a photo of a person and a banana'), (47, 'a photo of a person and an apple'),
# (48, 'a photo of a person and a sandwich'), (49, 'a photo of a person and an orange'),
# (50, 'a photo of a person and a broccoli'), (51, 'a photo of a person and a carrot'),
# (52, 'a photo of a person and a hot dog'), (53, 'a photo of a person and a pizza'),
# (54, 'a photo of a person and a donut'), (55, 'a photo of a person and a cake'),
# (56, 'a photo of a person and a chair'), (57, 'a photo of a person and a couch'),
# (58, 'a photo of a person and a potted plant'), (59, 'a photo of a person and a bed'),
# (60, 'a photo of a person and a dining table'), (61, 'a photo of a person and a toilet'),
# (62, 'a photo of a person and a tv'), (63, 'a photo of a person and a laptop'),
# (64, 'a photo of a person and a mouse'), (65, 'a photo of a person and a remote'),
# (66, 'a photo of a person and a keyboard'), (67, 'a photo of a person and a cell phone'),
# (68, 'a photo of a person and a microwave'), (69, 'a photo of a person and an oven'),
# (70, 'a photo of a person and a toaster'), (71, 'a photo of a person and a sink'),
# (72, 'a photo of a person and a refrigerator'), (73, 'a photo of a person and a book'),
# (74, 'a photo of a person and a clock'), (75, 'a photo of a person and a vase'),
# (76, 'a photo of a person and a scissors'), (77, 'a photo of a person and a teddy bear'),
# (78, 'a photo of a person and a hair drier'), (79, 'a photo of a person and a toothbrush'),
# (80, 'a photo of a person only'), (81, 'a photo of nothing')]
# vcoco_hoi_text_label = {(0, 41): 'a photo of a person holding a cup',
# (16, 80): 'a photo of a person cutting with something',
# (17, 53): 'a photo of a person cutting a pizza',
# (0, 53): 'a photo of a person holding a pizza', (2, 80): 'a photo of a person sitting',
# (8, 53): 'a photo of a person eating a pizza',
# (9, 80): 'a photo of a person eating with something',
# (23, 80): 'a photo of a person smiling', (21, 37): 'a photo of a person surfing a surfboard',
# (0, 73): 'a photo of a person holding a book',
# (2, 13): 'a photo of a person sitting a bench',
# (5, 73): 'a photo of a person looking at a book',
# (27, 73): 'a photo of a person reading a book', (1, 80): 'a photo of a person standing',
# (22, 36): 'a photo of a person skateboarding a skateboard',
# (20, 30): 'a photo of a person skiing a skis', (0, 80): 'a photo of a person holding',
# (8, 80): 'a photo of a person eating', (2, 56): 'a photo of a person sitting a chair',
# (5, 63): 'a photo of a person looking at a laptop',
# (19, 63): 'a photo of a person working on computer a laptop',
# (0, 40): 'a photo of a person holding a wine glass',
# (24, 40): 'a photo of a person drinking a wine glass',
# (5, 31): 'a photo of a person looking at a snowboard',
# (28, 31): 'a photo of a person snowboarding a snowboard',
# (0, 76): 'a photo of a person holding a scissors',
# (5, 80): 'a photo of a person looking at something',
# (5, 76): 'a photo of a person looking at a scissors',
# (16, 76): 'a photo of a person cutting with a scissors',
# (17, 80): 'a photo of a person cutting',
# (5, 37): 'a photo of a person looking at a surfboard',
# (2, 17): 'a photo of a person sitting a horse',
# (3, 17): 'a photo of a person riding a horse', (4, 80): 'a photo of a person walking',
# (5, 29): 'a photo of a person looking at a frisbee', (10, 80): 'a photo of a person jumping',
# (14, 29): 'a photo of a person throwing a frisbee', (18, 80): 'a photo of a person running',
# (5, 53): 'a photo of a person looking at a pizza',
# (0, 48): 'a photo of a person holding a sandwich',
# (8, 48): 'a photo of a person eating a sandwich',
# (0, 67): 'a photo of a person holding a cell phone',
# (19, 80): 'a photo of a person working on computer',
# (0, 24): 'a photo of a person holding a backpack',
# (13, 24): 'a photo of a person carrying a backpack', (11, 80): 'a photo of a person laying',
# (11, 57): 'a photo of a person laying a couch',
# (0, 17): 'a photo of a person holding a horse', (0, 15): 'a photo of a person holding a cat',
# (11, 59): 'a photo of a person laying a bed',
# (15, 29): 'a photo of a person catching a frisbee', (3, 80): 'a photo of a person riding',
# (12, 67): 'a photo of a person talking on phone a cell phone',
# (0, 31): 'a photo of a person holding a snowboard',
# (10, 31): 'a photo of a person jumping a snowboard',
# (5, 36): 'a photo of a person looking at a skateboard',
# (10, 36): 'a photo of a person jumping a skateboard',
# (0, 79): 'a photo of a person holding a toothbrush', (27, 80): 'a photo of a person reading',
# (0, 39): 'a photo of a person holding a bottle',
# (24, 39): 'a photo of a person drinking a bottle',
# (2, 59): 'a photo of a person sitting a bed',
# (5, 48): 'a photo of a person looking at a sandwich',
# (0, 30): 'a photo of a person holding a skis',
# (0, 38): 'a photo of a person holding a tennis racket',
# (5, 32): 'a photo of a person looking at a sports ball',
# (6, 38): 'a photo of a person hitting with a tennis racket',
# (7, 32): 'a photo of a person hitting a sports ball',
# (5, 0): 'a photo of a person looking at a person',
# (5, 17): 'a photo of a person looking at a horse',
# (0, 47): 'a photo of a person holding an apple',
# (5, 18): 'a photo of a person looking at a sheep',
# (8, 47): 'a photo of a person eating an apple',
# (25, 32): 'a photo of a person kicking a sports ball',
# (0, 44): 'a photo of a person holding a spoon',
# (5, 55): 'a photo of a person looking at a cake',
# (8, 55): 'a photo of a person eating a cake',
# (9, 44): 'a photo of a person eating with a spoon',
# (0, 63): 'a photo of a person holding a laptop',
# (6, 80): 'a photo of a person hitting with something',
# (2, 3): 'a photo of a person sitting a motorcycle',
# (3, 3): 'a photo of a person riding a motorcycle',
# (0, 43): 'a photo of a person holding a knife',
# (5, 43): 'a photo of a person looking at a knife',
# (16, 43): 'a photo of a person cutting with a knife',
# (17, 55): 'a photo of a person cutting a cake', (7, 80): 'a photo of a person hitting',
# (0, 34): 'a photo of a person holding a baseball bat',
# (6, 34): 'a photo of a person hitting with a baseball bat',
# (15, 80): 'a photo of a person catching', (2, 57): 'a photo of a person sitting a couch',
# (0, 77): 'a photo of a person holding a teddy bear',
# (13, 49): 'a photo of a person carrying an orange',
# (0, 42): 'a photo of a person holding a fork',
# (9, 42): 'a photo of a person eating with a fork',
# (5, 62): 'a photo of a person looking at a tv',
# (0, 28): 'a photo of a person holding a suitcase',
# (13, 28): 'a photo of a person carrying a suitcase',
# (2, 20): 'a photo of a person sitting an elephant',
# (3, 20): 'a photo of a person riding an elephant',
# (5, 15): 'a photo of a person looking at a cat',
# (0, 56): 'a photo of a person holding a chair',
# (5, 60): 'a photo of a person looking at a dining table',
# (24, 41): 'a photo of a person drinking a cup', (14, 80): 'a photo of a person throwing',
# (13, 26): 'a photo of a person carrying a handbag',
# (5, 16): 'a photo of a person looking at a dog',
# (0, 46): 'a photo of a person holding a banana',
# (13, 46): 'a photo of a person carrying a banana',
# (5, 28): 'a photo of a person looking at a suitcase',
# (9, 43): 'a photo of a person eating with a knife',
# (0, 37): 'a photo of a person holding a surfboard',
# (13, 37): 'a photo of a person carrying a surfboard',
# (8, 54): 'a photo of a person eating a donut',
# (0, 0): 'a photo of a person holding a person',
# (0, 35): 'a photo of a person holding a baseball glove',
# (0, 65): 'a photo of a person holding a remote',
# (0, 54): 'a photo of a person holding a donut',
# (0, 26): 'a photo of a person holding a handbag', (13, 80): 'a photo of a person carrying',
# (13, 0): 'a photo of a person carrying a person',
# (0, 32): 'a photo of a person holding a sports ball',
# (14, 32): 'a photo of a person throwing a sports ball',
# (5, 54): 'a photo of a person looking at a donut',
# (0, 1): 'a photo of a person holding a bicycle',
# (2, 1): 'a photo of a person sitting a bicycle',
# (3, 1): 'a photo of a person riding a bicycle',
# (5, 1): 'a photo of a person looking at a bicycle', (25, 80): 'a photo of a person kicking',
# (5, 67): 'a photo of a person looking at a cell phone',
# (5, 6): 'a photo of a person looking at a train',
# (0, 29): 'a photo of a person holding a frisbee',
# (0, 36): 'a photo of a person holding a skateboard',
# (3, 7): 'a photo of a person riding a truck',
# (26, 63): 'a photo of a person pointing a laptop',
# (0, 3): 'a photo of a person holding a motorcycle',
# (13, 30): 'a photo of a person carrying a skis',
# (0, 25): 'a photo of a person holding a umbrella',
# (5, 45): 'a photo of a person looking at a bowl',
# (17, 51): 'a photo of a person cutting a carrot',
# (0, 52): 'a photo of a person holding a hot dog',
# (8, 52): 'a photo of a person eating a hot dog',
# (0, 33): 'a photo of a person holding a kite',
# (5, 13): 'a photo of a person looking at a bench',
# (12, 80): 'a photo of a person talking on phone',
# (22, 80): 'a photo of a person skateboarding',
# (5, 35): 'a photo of a person looking at a baseball glove',
# (15, 32): 'a photo of a person catching a sports ball',
# (26, 80): 'a photo of a person pointing',
# (13, 25): 'a photo of a person carrying a umbrella',
# (5, 40): 'a photo of a person looking at a wine glass',
# (10, 37): 'a photo of a person jumping a surfboard',
# (5, 33): 'a photo of a person looking at a kite',
# (13, 33): 'a photo of a person carrying a kite',
# (3, 6): 'a photo of a person riding a train',
# (5, 44): 'a photo of a person looking at a spoon',
# (0, 20): 'a photo of a person holding an elephant', (21, 80): 'a photo of a person surfing',
# (5, 20): 'a photo of a person looking at an elephant',
# (3, 8): 'a photo of a person riding a boat',
# (5, 23): 'a photo of a person looking at a giraffe',
# (13, 67): 'a photo of a person carrying a cell phone',
# (11, 56): 'a photo of a person laying a chair',
# (5, 19): 'a photo of a person looking at a cow',
# (5, 42): 'a photo of a person looking at a fork',
# (0, 55): 'a photo of a person holding a cake',
# (13, 32): 'a photo of a person carrying a sports ball',
# (5, 30): 'a photo of a person looking at a skis',
# (13, 36): 'a photo of a person carrying a skateboard',
# (26, 67): 'a photo of a person pointing a cell phone',
# (5, 52): 'a photo of a person looking at a hot dog',
# (8, 46): 'a photo of a person eating a banana', (20, 80): 'a photo of a person skiing',
# (28, 80): 'a photo of a person snowboarding', (0, 14): 'a photo of a person holding a bird',
# (11, 60): 'a photo of a person laying a dining table',
# (0, 16): 'a photo of a person holding a dog',
# (0, 72): 'a photo of a person holding a refrigerator',
# (5, 72): 'a photo of a person looking at a refrigerator',
# (5, 7): 'a photo of a person looking at a truck',
# (5, 41): 'a photo of a person looking at a cup',
# (2, 61): 'a photo of a person sitting a toilet', (24, 80): 'a photo of a person drinking',
# (0, 27): 'a photo of a person holding a tie',
# (5, 27): 'a photo of a person looking at a tie',
# (17, 27): 'a photo of a person cutting a tie',
# (5, 10): 'a photo of a person looking at a fire hydrant',
# (26, 10): 'a photo of a person pointing a fire hydrant',
# (11, 13): 'a photo of a person laying a bench',
# (17, 18): 'a photo of a person cutting a sheep',
# (0, 64): 'a photo of a person holding a mouse',
# (5, 64): 'a photo of a person looking at a mouse',
# (5, 66): 'a photo of a person looking at a keyboard',
# (16, 42): 'a photo of a person cutting with a fork',
# (17, 0): 'a photo of a person cutting a person',
# (5, 5): 'a photo of a person looking at a bus', (3, 2): 'a photo of a person riding a car',
# (10, 30): 'a photo of a person jumping a skis',
# (5, 4): 'a photo of a person looking at an airplane',
# (5, 46): 'a photo of a person looking at a banana',
# (2, 28): 'a photo of a person sitting a suitcase',
# (13, 29): 'a photo of a person carrying a frisbee',
# (5, 26): 'a photo of a person looking at a handbag',
# (8, 50): 'a photo of a person eating a broccoli',
# (17, 46): 'a photo of a person cutting a banana',
# (0, 18): 'a photo of a person holding a sheep',
# (17, 48): 'a photo of a person cutting a sandwich',
# (26, 0): 'a photo of a person pointing a person',
# (5, 3): 'a photo of a person looking at a motorcycle',
# (5, 24): 'a photo of a person looking at a backpack',
# (0, 45): 'a photo of a person holding a bowl',
# (26, 27): 'a photo of a person pointing a tie',
# (0, 49): 'a photo of a person holding an orange',
# (8, 49): 'a photo of a person eating an orange',
# (5, 34): 'a photo of a person looking at a baseball bat',
# (13, 31): 'a photo of a person carrying a snowboard',
# (17, 54): 'a photo of a person cutting a donut',
# (5, 38): 'a photo of a person looking at a tennis racket',
# (8, 51): 'a photo of a person eating a carrot',
# (17, 47): 'a photo of a person cutting an apple',
# (13, 40): 'a photo of a person carrying a wine glass',
# (26, 48): 'a photo of a person pointing a sandwich',
# (26, 62): 'a photo of a person pointing a tv',
# (13, 74): 'a photo of a person carrying a clock',
# (5, 61): 'a photo of a person looking at a toilet',
# (26, 19): 'a photo of a person pointing a cow',
# (5, 65): 'a photo of a person looking at a remote',
# (26, 18): 'a photo of a person pointing a sheep',
# (0, 50): 'a photo of a person holding a broccoli',
# (0, 13): 'a photo of a person holding a bench',
# (26, 33): 'a photo of a person pointing a kite',
# (0, 7): 'a photo of a person holding a truck',
# (13, 41): 'a photo of a person carrying a cup',
# (24, 45): 'a photo of a person drinking a bowl',
# (13, 38): 'a photo of a person carrying a tennis racket',
# (13, 39): 'a photo of a person carrying a bottle',
# (5, 47): 'a photo of a person looking at an apple',
# (5, 56): 'a photo of a person looking at a chair',
# (2, 24): 'a photo of a person sitting a backpack',
# (26, 60): 'a photo of a person pointing a dining table',
# (0, 78): 'a photo of a person holding a hair drier',
# (5, 39): 'a photo of a person looking at a bottle',
# (26, 55): 'a photo of a person pointing a cake',
# (26, 66): 'a photo of a person pointing a keyboard',
# (26, 72): 'a photo of a person pointing a refrigerator',
# (5, 74): 'a photo of a person looking at a clock',
# (0, 8): 'a photo of a person holding a boat', (17, 45): 'a photo of a person cutting a bowl',
# (26, 23): 'a photo of a person pointing a giraffe',
# (5, 25): 'a photo of a person looking at a umbrella',
# (0, 66): 'a photo of a person holding a keyboard',
# (2, 26): 'a photo of a person sitting a handbag',
# (26, 52): 'a photo of a person pointing a hot dog',
# (2, 60): 'a photo of a person sitting a dining table',
# (13, 77): 'a photo of a person carrying a teddy bear',
# (0, 51): 'a photo of a person holding a carrot',
# (13, 34): 'a photo of a person carrying a baseball bat',
# (5, 2): 'a photo of a person looking at a car', (3, 5): 'a photo of a person riding a bus',
# (17, 50): 'a photo of a person cutting a broccoli',
# (5, 14): 'a photo of a person looking at a bird',
# (13, 73): 'a photo of a person carrying a book',
# (5, 50): 'a photo of a person looking at a broccoli'}
vcoco_obj_text_label = [(0, 'a photo of a person and a person'), (1, 'a photo of a person and a bicycle'),
(2, 'a photo of a person and a car'), (3, 'a photo of a person and a motorcycle'),
(4, 'a photo of a person and an airplane'), (5, 'a photo of a person and a bus'),
(6, 'a photo of a person and a train'), (7, 'a photo of a person and a truck'),
(8, 'a photo of a person and a boat'), (9, 'a photo of a person and a traffic light'),
(10, 'a photo of a person and a fire hydrant'), (11, 'a photo of a person and a stop sign'),
(12, 'a photo of a person and a parking meter'), (13, 'a photo of a person and a bench'),
(14, 'a photo of a person and a bird'), (15, 'a photo of a person and a cat'),
(16, 'a photo of a person and a dog'), (17, 'a photo of a person and a horse'),
(18, 'a photo of a person and a sheep'), (19, 'a photo of a person and a cow'),
(20, 'a photo of a person and an elephant'), (21, 'a photo of a person and a bear'),
(22, 'a photo of a person and a zebra'), (23, 'a photo of a person and a giraffe'),
(24, 'a photo of a person and a backpack'), (25, 'a photo of a person and a umbrella'),
(26, 'a photo of a person and a handbag'), (27, 'a photo of a person and a tie'),
(28, 'a photo of a person and a suitcase'), (29, 'a photo of a person and a frisbee'),
(30, 'a photo of a person and a skis'), (31, 'a photo of a person and a snowboard'),
(32, 'a photo of a person and a sports ball'), (33, 'a photo of a person and a kite'),
(34, 'a photo of a person and a baseball bat'),
(35, 'a photo of a person and a baseball glove'),
(36, 'a photo of a person and a skateboard'), (37, 'a photo of a person and a surfboard'),
(38, 'a photo of a person and a tennis racket'), (39, 'a photo of a person and a bottle'),
(40, 'a photo of a person and a wine glass'), (41, 'a photo of a person and a cup'),
(42, 'a photo of a person and a fork'), (43, 'a photo of a person and a knife'),
(44, 'a photo of a person and a spoon'), (45, 'a photo of a person and a bowl'),
(46, 'a photo of a person and a banana'), (47, 'a photo of a person and an apple'),
(48, 'a photo of a person and a sandwich'), (49, 'a photo of a person and an orange'),
(50, 'a photo of a person and a broccoli'), (51, 'a photo of a person and a carrot'),
(52, 'a photo of a person and a hot dog'), (53, 'a photo of a person and a pizza'),
(54, 'a photo of a person and a donut'), (55, 'a photo of a person and a cake'),
(56, 'a photo of a person and a chair'), (57, 'a photo of a person and a couch'),
(58, 'a photo of a person and a potted plant'), (59, 'a photo of a person and a bed'),
(60, 'a photo of a person and a dining table'), (61, 'a photo of a person and a toilet'),
(62, 'a photo of a person and a tv'), (63, 'a photo of a person and a laptop'),
(64, 'a photo of a person and a mouse'), (65, 'a photo of a person and a remote'),
(66, 'a photo of a person and a keyboard'), (67, 'a photo of a person and a cell phone'),
(68, 'a photo of a person and a microwave'), (69, 'a photo of a person and an oven'),
(70, 'a photo of a person and a toaster'), (71, 'a photo of a person and a sink'),
(72, 'a photo of a person and a refrigerator'), (73, 'a photo of a person and a book'),
(74, 'a photo of a person and a clock'), (75, 'a photo of a person and a vase'),
(76, 'a photo of a person and a scissors'), (77, 'a photo of a person and a teddy bear'),
(78, 'a photo of a person and a hair drier'), (79, 'a photo of a person and a toothbrush'),
]
vcoco_hoi_text_label = {(0, 1): 'a photo of a person holding a person',
(3, 1): 'a photo of a person looking at a person',
(11, 1): 'a photo of a person carrying a person',
(15, 1): 'a photo of a person cutting a person',
(0, 2): 'a photo of a person holding a bicycle',
(1, 2): 'a photo of a person sitting on a bicycle',
(2, 2): 'a photo of a person riding a bicycle',
(3, 2): 'a photo of a person looking at a bicycle',
(11, 2): 'a photo of a person carrying a bicycle',
(2, 3): 'a photo of a person riding a car',
(3, 3): 'a photo of a person looking at a car',
(11, 3): 'a photo of a person carrying a car',
(0, 4): 'a photo of a person holding a motorcycle',
(1, 4): 'a photo of a person sitting on a motorcycle',
(2, 4): 'a photo of a person riding a motorcycle',
(3, 4): 'a photo of a person looking at a motorcycle',
(3, 5): 'a photo of a person looking at a airplane',
(2, 6): 'a photo of a person riding a bus',
(3, 6): 'a photo of a person looking at a bus',
(2, 7): 'a photo of a person riding a train',
(3, 7): 'a photo of aperson looking at a train',
(0, 8): 'a photo of a person holding a truck',
(2, 8): 'a photo of a person riding a truck', (3, 8): 'a photo of a person looking at a truck',
(0, 9): 'a photo of a person holding a boat', (2, 9): 'a photo of a person riding a boat',
(3, 9): 'a photo of a person looking at a boat',
(3, 10): 'a photo of a person looking at a traffic light',
(3, 11): 'a photo of a person looking at a fire hydrant',
(0, 14): 'a photo of a person holding a bench', (1, 14): 'a photo of a person sitting on a bench',
(3, 14): 'a photo of a person looking at a bench', (9, 14): 'a photo of a person laying on a bench',
(0, 15): 'aphoto of a person holding a bird', (3, 15): 'a photo of a person looking at a bird',
(0, 16): 'a photo of a person holding a cat', (3, 16): 'a photo of a person looking at a cat',
(0, 17): 'a photo of a person holding a dog', (3, 17): 'a photo of a personlooking at a dog',
(11, 17): 'a photo of a person carrying a dog',
(0, 18): 'a photo of a person holding a horse', (1, 18): 'a photo of a person sitting on a horse',
(2, 18): 'a photo of a person riding a horse', (3, 18): 'a photo of a person looking at a horse',
(0, 19): 'a photo of a person holding a sheep', (3, 19): 'a photo of a person looking at a sheep',
(11, 19): 'a photo of a person carrying a sheep', (15, 19): 'a photo of a person cutting a sheep',
(0, 20): 'a photo of a person holding a cow', (3,20): 'a photo of a person looking at a cow',
(0, 21): 'a photo of a person holding a elephant', (1, 21): 'a photo of a person sitting on a elephant',
(2, 21): 'a photo of a person riding a elephant', (3, 21): 'a photo of a person looking at a elephant',
(3, 24): 'a photo of a person looking at a giraffe',
(0, 25): 'a photo of a person holding a backpack', (1, 25): 'a photo of a person sitting on a backpack',
(3, 25): 'a photo of a person looking at a backpack',
(11, 25): 'a photo of a person carrying a backpack',
(0, 26): 'a photo of a person holding a umbrella', (3, 26): 'a photo of a person looking at a umbrella',
(11, 26): 'a photo of a person carrying a umbrella',
(0, 27): 'a photo of a person holding a handbag', (1, 27): 'a photo of a person sitting ona handbag',
(3, 27): 'a photo of a person looking at a handbag', (11, 27): 'a photo of a person carrying a handbag',
(0, 28): 'a photo of a person holding a tie', (3, 28): 'a photo of a person looking at a tie',
(15, 28): 'a photo of a person cutting a tie', (0, 29): 'a photo of a person holding a suitcase',
(1, 29): 'a photo of a person sitting on a suitcase', (3, 29): 'a photo of a person looking at a suitcase',
(11, 29): 'a photo of a person carrying a suitcase',
(0, 30): 'a photo of a person holding a frisbee',
(3, 30): 'a photo of a person looking at a frisbee',
(11, 30): 'a photo of a person carrying a frisbee',
(12, 30): 'a photo of a person throwing a frisbee',
(13, 30): 'a photo of a person catching a frisbee',
(0, 31): 'a photo of a person holdinga skis', (3, 31): 'a photo of a person looking at a skis',
(8, 31): 'a photo of a person jumping on a skis', (11, 31): 'a photoof a person carrying a skis',
(17, 31): 'a photo of a person skiing on a skis',
(0, 32): 'a photo of a person holding a snowboard',
(3, 32): 'a photo of a person looking at a snowboard',
(8, 32): 'a photo of a person jumping on a snowboard', (11, 32): 'a photo of a person carrying a snowboard',
(23, 32): 'a photo of a person snowboarding a snowboard',
(0, 33): 'a photo of a personholding a sports ball', (3, 33): 'a photo of a person looking at a sports ball',
(5, 33): 'a photo of a person hitting a sportsball',
(11, 33): 'a photo of a person carrying a sports ball',
(12, 33): 'a photo of a person throwing a sports ball',
(13, 33): 'a photo of a person catching a sports ball',
(21, 33): 'a photo of a person kicking a sports ball', (0, 34): 'a photo of a person holding a kite',
(3, 34): 'a photo of a person looking at a kite', (11, 34): 'a photo of a person carrying a kite',
(0, 35): 'a photo of a person holding a baseball bat',
(3, 35): 'a photo of a person looking at a baseball bat',
(4, 35): 'a photo of aperson hitting with a baseball bat', (11, 35): 'a photo of a person carrying a baseball bat',
(0, 36): 'a photo of a person holding a baseball glove', (3, 36): 'a photo of a person looking at a baseball glove',
(0, 37): 'a photo of a person holding a skateboard', (3, 37): 'a photo of a person looking at a skateboard',
(8, 37): 'a photo of a person jumping on a skateboard', (11, 37): 'a photo of a person carrying a skateboard',
(15, 37): 'a photo of a person cutting a skateboard', (19, 37): 'a photo of a person skateboarding a skateboard',
(0, 38): 'a photo of a person holding a surfboard', (3, 38): 'a photo of a person looking at asurfboard',
(8, 38): 'a photo of a person jumping on a surfboard', (11, 38): 'a photo of a person carrying a surfboard',
(18, 38): 'a photo of a person surfing a surfboard', (0, 39): 'a photo of a person holding a tennis racket',
(3, 39): 'a photo of a person looking at a tennis racket', (4, 39): 'a photo of a person hitting with a tennis racket',
(11, 39): 'a photo of a person carrying a tennis racket', (0, 40): 'a photo of a person holding a bottle',
(3, 40): 'a photo of a person looking at a bottle', (11, 40): 'a photo of a person carrying a bottle',
(20, 40): 'a photo of a person drinking with a bottle', (0, 41): 'a photo of a person holding a wine glass',
(3, 41): 'a photo of a person looking at a wine glass',
(11, 41): 'a photo of a person carrying a wine glass',
(20, 41): 'a photo of a person drinking with a wine glass',
(0, 42): 'a photo of a person holding a cup', (3, 42): 'a photo of a person looking at a cup',
(11, 42): 'a photo of a person carrying a cup', (20, 42): 'a photo of a person drinking with a cup',
(0, 43): 'a photo of a person holding a fork', (3, 43): 'a photo of a person looking at a fork',
(7, 43): 'a photo of a person eating with a fork', (14, 43): 'a photo of a person cutting with a fork',
(0, 44): 'a photo of a person holding a knife', (3, 44): 'a photo of a person looking at a knife',
(7, 44): 'a photo of a person eating with a knife', (14, 44): 'a photo of a person cutting with a knife',
(0, 45): 'a photo of a person holding a spoon', (3, 45): 'a photo of a person looking at a spoon',
(7, 45): 'a photo of a person eating with a spoon',
(0, 46): 'a photo of a person holding a bowl', (3, 46): 'a photo of a person looking at a bowl',
(15, 46): 'a photo of a person cutting a bowl', (20, 46): 'a photo of a person drinking with a bowl',
(0, 47): 'a photo of a person holding a banana', (3, 47): 'a photo of a person looking at a banana',
(6, 47): 'a photo of a person eating a banana', (11, 47): 'a photo of a person carrying a banana',
(15, 47): 'a photo of a person cutting a banana',
(0, 48): 'a photo of a person holding a apple', (3, 48): 'a photo of a person looking at a apple',
(6, 48): 'a photo of a person eating a apple', (15, 48): 'a photo of a person cutting a apple',
(0, 49): 'a photo of a person holding a sandwich', (3, 49): 'a photo of a person looking at a sandwich',
(6, 49): 'a photo of a person eating a sandwich', (15, 49): 'a photo of a person cutting a sandwich',
(0, 50): 'a photo of a person holding a orange', (6, 50): 'a photo of a person eating a orange',
(11, 50): 'a photoof a person carrying a orange', (15, 50): 'a photo of a person cutting a orange',
(0, 51): 'a photo of a person holding a broccoli', (3, 51): 'a photo of a person looking at a broccoli',
(6, 51): 'a photo of a person eating a broccoli', (15, 51): 'a photoof a person cutting a broccoli',
(0, 52): 'a photo of a person holding a carrot', (6, 52): 'a photo of a person eating a carrot',
(15, 52): 'a photo of a person cutting a carrot',
(0, 53): 'a photo of a person holding a hot dog', (3, 53): 'a photo of a person looking at a hot dog',
(6, 53): 'a photo of a person eating a hot dog', (15, 53): 'a photo of a person cutting a hot dog',
(0, 54): 'a photo of a person holding a pizza', (3, 54): 'a photo of a person looking at a pizza',
(6, 54): 'a photo of a personeating a pizza', (15, 54): 'a photo of a person cutting a pizza',
(0, 55): 'a photo of a person holding a donut', (3, 55): 'a photo of a person looking at a donut',
(6, 55): 'a photo of a person eating a donut', (11, 55): 'a photo of a person carrying a donut',
(15, 55): 'a photo of a person cutting a donut', (0, 56): 'a photo of a person holding a cake',
(3, 56): 'a photo of a person looking at a cake', (6, 56): 'a photo of a person eating a cake',
(15, 56): 'a photo of a person cutting a cake',
(0, 57): 'a photo of a person holding a chair', (1, 57): 'a photo of a person sitting on a chair',
(3, 57): 'a photo of a person looking at a chair', (9, 57): 'a photo of a person laying on a chair',
(1, 58): 'a photo of a person sitting on a couch', (9, 58): 'a photo of a person laying on a couch',
(3, 59): 'a photo of a person looking at a potted plant', (0, 60): 'a photo of a person holding a bed',
(1, 60): 'a photo of a person sitting on a bed', (9, 60): 'a photo of a person laying on a bed',
(0, 61): 'a photo of a person holding a dining table', (1, 61): 'a photo of a person sitting on a dining table',
(3, 61): 'a photo of a person looking at a dining table', (9, 61): 'a photo of a person laying on a dining table',
(1, 62): 'a photo of a person sitting on a toilet', (3, 62): 'a photo of a person looking at a toilet',
(9, 62): 'a photo of a person laying on a toilet', (3, 63): 'a photo ofa person looking at a tv',
(0, 64): 'a photo of a person holding a laptop', (3, 64): 'a photo of a person looking at a laptop',
(11, 64): 'a photo of a person carrying a laptop', (15, 64): 'a photo of a person cutting a laptop',
(16, 64): 'a photo of a person working on a laptop', (0, 65): 'a photo of a person holding a mouse',
(3, 65): 'a photo of a person looking at a mouse', (0, 66): 'a photo of a person holding a remote',
(3, 66): 'a photo of a person looking at a remote', (0, 67): 'a photo of a personholding a keyboard',
(3, 67): 'a photo of a person looking at a keyboard', (0, 68): 'a photo of a person holding a cell phone',
(3, 68): 'a photo of a person looking at a cell phone', (10, 68): 'a photo of a person talking on a cell phone',
(11, 68): 'a photo of a person carrying a cell phone', (0, 73): 'a photo of a person holding a refrigerator',
(3, 73): 'a photo of a person looking at a refrigerator', (0, 74): 'a photo of a person holding a book',
(3, 74): 'a photo of a person looking at a book', (11, 74): 'a photo of a person carrying a book',
(15, 74): 'a photo of a person cutting a book', (22, 74): 'a photo of a person reading a book',
(3, 75): 'a photo of a person looking at a clock', (11, 75): 'a photo of a person carrying a clock',
(0, 77): 'a photo of a person holding a scissors', (3, 77): 'a photo of a person looking at a scissors',
(14, 77): 'a photo of a person cuttingwith a scissors', (0, 78): 'a photo of a person holding a teddy bear',
(11, 78): 'a photo of a person carrying a teddy bear', (0, 79): 'a photo of a person holding a hair drier',
(0, 80): 'a photo of a person holding a toothbrush'}