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coco_44340_718238
A woman is sitting at a desk in a news station.
datasets/COCO/train2014/COCO_train2014_000000321495.jpg
[ "woman", "desk", "news station" ]
[ { "positive": "desk", "negative": "chair", "change_type": "object_change" }, { "positive": "news station", "negative": "radio station", "change_type": "object_change" }, { "positive": "news station", "negative": "tv studio", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is sitting at", "object": "desk", "negatives": [{"subject": "woman", "relation_type": "is standing at", "object": "desk", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not sitting at", "object": "desk", "change_type": "negation"}]}, {"subject": "desk", "rel...
[ "A station is sitting at a news in a desk woman .", "A woman at sitting is a desk a in news station .", "A woman is sitting at a in a desk station news .", "desk in a news station . sitting at a A woman is" ]
coco_44340_719456
A woman is sitting in front of a news back drop
datasets/COCO/train2014/COCO_train2014_000000321495.jpg
[ "woman", "news back drop" ]
[ { "positive": "news back drop", "negative": "studio back drop", "change_type": "object_change" }, { "positive": "news back drop", "negative": "news anchor desk", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is sitting in front of", "object": "news back drop", "negatives": [{"subject": "woman", "relation_type": "is sitting behind", "object": "news back drop", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not sitting in front of", "object": "news back drop", "ch...
[ "A woman is sitting in news of a drop back front", "a woman in sitting A front of is news back drop", "A woman is in front sitting news of a drop back", "of a news back drop A woman is sitting in front" ]
coco_44341_796856
a small pizza that is on a white plate
datasets/COCO/train2014/COCO_train2014_000000000194.jpg
[ "a small pizza", "a white plate" ]
[ { "positive": "a small pizza", "negative": "a large pizza", "change_type": "attribute_change" }, { "positive": "a small pizza", "negative": "a small burger", "change_type": "object_change" }, { "positive": "a white plate", "negative": "a black plate", "change_type": "attr...
[{"subject": "a small pizza", "relation_type": "is on", "object": "a white plate", "negatives": [{"subject": "a small pizza", "relation_type": "is under", "object": "a white plate", "change_type": "antonym"}, {"subject": "a small pizza", "relation_type": "is beside", "object": "a white plate", "change_type": "antonym"}...
[ "a pizza white that is on a plate small", "a small pizza a that is on white plate", "small pizza a that on is a plate white", "a white plate a small pizza that is on" ]
coco_44341_799817
Small pizza sitting on a white plate with different toppings on it.
datasets/COCO/train2014/COCO_train2014_000000000194.jpg
[ "small pizza", "white plate", "different toppings" ]
[ { "positive": "small pizza", "negative": "large pizza", "change_type": "attribute_change" }, { "positive": "small pizza", "negative": "small burger", "change_type": "object_change" }, { "positive": "white plate", "negative": "black plate", "change_type": "attribute_change...
[{"subject": "small pizza", "relation_type": "is sitting on", "object": "white plate", "negatives": [{"subject": "small pizza", "relation_type": "is standing on", "object": "white plate", "change_type": "antonym"}, {"subject": "small pizza", "relation_type": "is under", "object": "white plate", "change_type": "antonym"...
[ "toppings plate sitting on a different Small with white pizza on it .", "Small pizza a it sitting white plate with different toppings . on on", "pizza Small sitting on white a different with plate on it toppings .", "toppings on it plate with different . Small pizza sitting on a white" ]
coco_44341_803441
The pizza is loaded with lots of toppings.
datasets/COCO/train2014/COCO_train2014_000000000194.jpg
[ "pizza", "lots of toppings" ]
[ { "positive": "pizza", "negative": "burger", "change_type": "object_change" }, { "positive": "lots of toppings", "negative": "no toppings", "change_type": "attribute_change" }, { "positive": "lots of toppings", "negative": "few toppings", "change_type": "attribute_change"...
[{"subject": "pizza", "relation_type": "is loaded with", "object": "lots of toppings", "negatives": [{"subject": "pizza", "relation_type": "is empty of", "object": "lots of toppings", "change_type": "antonym"}, {"subject": "pizza", "relation_type": "is not loaded with", "object": "lots of toppings", "change_type": "neg...
[ "The toppings is loaded with lots of pizza .", "with pizza loaded The of lots . toppings is", "pizza The is with lots loaded toppings . of", "loaded with lots The pizza is of toppings ." ]
coco_44341_806042
A small personal sized pizza is shown on display.
datasets/COCO/train2014/COCO_train2014_000000000194.jpg
[ "small personal sized pizza" ]
[ { "positive": "small personal sized pizza", "negative": "large family sized pizza", "change_type": "attribute_change" }, { "positive": "small personal sized pizza", "negative": "small personal sized burger", "change_type": "object_change" } ]
[]
[ "A small sized personal pizza is shown on display .", "shown small personal sized pizza A on . display is", "A personal small is sized pizza display on shown .", "sized pizza is . A small personal shown on display" ]
coco_44341_806150
An exotic pizza sits on a plate, with cheese and bits of meat on top.
datasets/COCO/train2014/COCO_train2014_000000000194.jpg
[ "exotic pizza", "plate", "cheese", "bits of meat" ]
[ { "positive": "exotic pizza", "negative": "exotic burger", "change_type": "object_change" }, { "positive": "exotic pizza", "negative": "classic pizza", "change_type": "attribute_change" }, { "positive": "plate", "negative": "bowl", "change_type": "object_change" }, { ...
[{"subject": "exotic pizza", "relation_type": "is sitting on", "object": "plate", "negatives": [{"subject": "exotic pizza", "relation_type": "is standing on", "object": "plate", "change_type": "antonym"}, {"subject": "exotic pizza", "relation_type": "is under", "object": "plate", "change_type": "antonym"}, {"subject": ...
[ "An top exotic sits on a pizza , with bits and cheese of plate on meat .", "sits exotic pizza and of , plate . with cheese a bits on meat An top on", "pizza An exotic sits a on with , plate bits cheese and on meat of top .", "sits on a An exotic pizza of meat on cheese and bits top . plate , with" ]
coco_44342_434372
Three people are standing in the middle of a tennis court as a police officer watches.
datasets/COCO/train2014/COCO_train2014_000000127098.jpg
[ "three people", "tennis court", "police officer" ]
[ { "positive": "three people", "negative": "one person", "change_type": "attribute_change" }, { "positive": "three people", "negative": "three athletes", "change_type": "object_change" }, { "positive": "tennis court", "negative": "basketball court", "change_type": "object_...
[{"subject": "three people", "relation_type": "are standing in the middle of", "object": "tennis court", "negatives": [{"subject": "three people", "relation_type": "are not standing in the middle of", "object": "tennis court", "change_type": "negation"}, {"subject": "three people", "relation_type": "are standing on the...
[ "Three officer are standing in the court of a police middle as a people tennis watches .", "of people are a standing Three middle as the tennis court watches a police officer . in", "are people Three standing the in middle of a as tennis court a police officer watches .", "middle of a standing in the tennis c...
coco_44342_440354
Two tennis players on a green tennis court
datasets/COCO/train2014/COCO_train2014_000000127098.jpg
[ "two tennis players", "green tennis court" ]
[ { "positive": "two tennis players", "negative": "two basketball players", "change_type": "object_change" }, { "positive": "two tennis players", "negative": "one tennis player", "change_type": "attribute_change" }, { "positive": "green tennis court", "negative": "red tennis co...
[{"subject": "two tennis players", "relation_type": "are on", "object": "green tennis court", "negatives": [{"subject": "two tennis players", "relation_type": "are under", "object": "green tennis court", "change_type": "antonym"}, {"subject": "two tennis players", "relation_type": "are not on", "object": "green tennis ...
[ "Two players tennis on a green court tennis", "on tennis players a Two green tennis court", "Two tennis players green on a court tennis", "on a green tennis court Two tennis players" ]
coco_44342_441560
A group of men on a court with a tennis racket.
datasets/COCO/train2014/COCO_train2014_000000127098.jpg
[ "group of men", "court", "tennis racket" ]
[ { "positive": "group of men", "negative": "group of women", "change_type": "object_change" }, { "positive": "court", "negative": "field", "change_type": "object_change" }, { "positive": "tennis racket", "negative": "golf club", "change_type": "object_change" }, { ...
[{"subject": "group of men", "relation_type": "is on", "object": "court", "negatives": [{"subject": "group of men", "relation_type": "is under", "object": "court", "change_type": "antonym"}, {"subject": "group of men", "relation_type": "is not on", "object": "court", "change_type": "negation"}, {"subject": "court", "re...
[ "A racket of group on a court with a men tennis .", "on group . men a A court a of tennis racket with", "of group A men on a with a court . racket tennis", "A group of men on a court with a tennis racket ." ]
coco_44342_444605
The man is telling the tennis players something.
datasets/COCO/train2014/COCO_train2014_000000127098.jpg
[ "man", "tennis players" ]
[ { "positive": "tennis players", "negative": "golfers", "change_type": "object_change" } ]
[{"subject": "man", "relation_type": "is telling", "object": "tennis players", "negatives": [{"subject": "man", "relation_type": "is not telling", "object": "tennis players", "change_type": "negation"}, {"subject": "man", "relation_type": "is listening to", "object": "tennis players", "change_type": "antonym"}]}]
[ "The tennis is telling the players man something .", "telling man something The is tennis players the .", "man is The telling tennis the . something players", "players something . The man is telling the tennis" ]
coco_44342_447761
Two tennis players at the net with a guy.
datasets/COCO/train2014/COCO_train2014_000000127098.jpg
[ "two tennis players", "net", "guy" ]
[ { "positive": "two tennis players", "negative": "two basketball players", "change_type": "object_change" }, { "positive": "two tennis players", "negative": "three tennis players", "change_type": "attribute_change" }, { "positive": "guy", "negative": "girl", "change_type":...
[{"subject": "two tennis players", "relation_type": "are at", "object": "net", "negatives": [{"subject": "two tennis players", "relation_type": "are away from", "object": "net", "change_type": "antonym"}, {"subject": "two tennis players", "relation_type": "are not at", "object": "net", "change_type": "negation"}]}, {"s...
[ "Two tennis net at the players with a guy .", "with tennis players Two the net at a guy .", "tennis players Two net the at with a guy .", "Two tennis players with a guy at the net ." ]
coco_44343_18685
A smiling woman is holding an enourmous pizza.
datasets/COCO/train2014/COCO_train2014_000000567268.jpg
[ "smiling woman", "enourmous pizza" ]
[ { "positive": "smiling woman", "negative": "frowning woman", "change_type": "attribute_change" }, { "positive": "smiling woman", "negative": "smiling man", "change_type": "attribute_change" }, { "positive": "enourmous pizza", "negative": "small pizza", "change_type": "att...
[{"subject": "smiling woman", "relation_type": "is holding", "object": "enourmous pizza", "negatives": [{"subject": "smiling woman", "relation_type": "is dropping", "object": "enourmous pizza", "change_type": "antonym"}, {"subject": "smiling woman", "relation_type": "is not holding", "object": "enourmous pizza", "chang...
[ "A smiling woman is holding an pizza enourmous .", "holding smiling woman . is an enourmous pizza A", "A smiling woman holding is an pizza enourmous .", "enourmous pizza . A smiling woman is holding an" ]
coco_44343_20191
Woman showcasing a free form oven baked pizza.
datasets/COCO/train2014/COCO_train2014_000000567268.jpg
[ "woman", "free form oven baked pizza" ]
[ { "positive": "free form oven baked pizza", "negative": "wooden oven baked cake", "change_type": "object_change" }, { "positive": "free form oven baked pizza", "negative": "free form oven baked burger", "change_type": "object_change" }, { "positive": "free form oven baked pizza",...
[{"subject": "woman", "relation_type": "is showcasing", "object": "free form oven baked pizza", "negatives": [{"subject": "woman", "relation_type": "is hiding", "object": "free form oven baked pizza", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not showcasing", "object": "free form oven baked p...
[ "pizza showcasing a form free oven baked Woman .", "Woman oven . free form showcasing a pizza baked", "a Woman showcasing form oven free . baked pizza", "baked pizza . free form oven Woman showcasing a" ]
coco_44343_22903
A smiling woman shows off a gigantic pizza.
datasets/COCO/train2014/COCO_train2014_000000567268.jpg
[ "smiling woman", "gigantic pizza" ]
[ { "positive": "smiling woman", "negative": "frowning woman", "change_type": "attribute_change" }, { "positive": "smiling woman", "negative": "smiling man", "change_type": "attribute_change" }, { "positive": "gigantic pizza", "negative": "small pizza", "change_type": "attr...
[{"subject": "smiling woman", "relation_type": "is showing off", "object": "gigantic pizza", "negatives": [{"subject": "smiling woman", "relation_type": "is hiding", "object": "gigantic pizza", "change_type": "antonym"}, {"subject": "smiling woman", "relation_type": "is not showing off", "object": "gigantic pizza", "ch...
[ "A smiling pizza shows off a gigantic woman .", ". smiling woman A off shows gigantic pizza a", "woman smiling A a off shows . pizza gigantic", "gigantic pizza . A smiling woman shows off a" ]
coco_44343_23215
A woman holding up a fairly large pizza.
datasets/COCO/train2014/COCO_train2014_000000567268.jpg
[ "woman", "fairly large pizza" ]
[ { "positive": "fairly large pizza", "negative": "small pizza", "change_type": "attribute_change" }, { "positive": "fairly large pizza", "negative": "fairly large burger", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is holding", "object": "fairly large pizza", "negatives": [{"subject": "woman", "relation_type": "is dropping", "object": "fairly large pizza", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not holding", "object": "fairly large pizza", "change_type": "negat...
[ "A woman holding up a fairly pizza large .", "holding woman up fairly a A large pizza .", "A woman holding fairly up a . pizza large", "up a fairly large pizza . A woman holding" ]
coco_44343_23521
A women holding a very large whole pizza
datasets/COCO/train2014/COCO_train2014_000000567268.jpg
[ "women", "very large whole pizza" ]
[ { "positive": "very large whole pizza", "negative": "very small whole pizza", "change_type": "attribute_change" }, { "positive": "very large whole pizza", "negative": "very large whole burger", "change_type": "object_change" } ]
[{"subject": "women", "relation_type": "is holding", "object": "very large whole pizza", "negatives": [{"subject": "women", "relation_type": "is dropping", "object": "very large whole pizza", "change_type": "antonym"}, {"subject": "women", "relation_type": "is not holding", "object": "very large whole pizza", "change_t...
[ "A pizza holding a very whole women large", "holding women a very A large whole pizza", "holding women A large very a whole pizza", "whole pizza a very large A women holding" ]
coco_44344_707700
A person is taking a picture of a room with a closet and shelves.
datasets/COCO/train2014/COCO_train2014_000000114510.jpg
[ "person", "picture", "room", "closet", "shelves" ]
[ { "positive": "person", "negative": "man", "change_type": "attribute_change" }, { "positive": "person", "negative": "woman", "change_type": "attribute_change" }, { "positive": "person", "negative": "child", "change_type": "object_change" }, { "positive": "room", ...
[{"subject": "person", "relation_type": "is taking a picture of", "object": "room", "negatives": [{"subject": "person", "relation_type": "is not taking a picture of", "object": "room", "change_type": "negation"}, {"subject": "person", "relation_type": "is looking away from", "object": "room", "change_type": "antonym"}]...
[ "A person is taking a closet of a room with a shelves and picture .", "and person a of with picture . a room A taking closet a shelves is", "is A person picture taking a a room of with closet a . shelves and", "A person is of a room with a closet and shelves . taking a picture" ]
coco_44344_709314
A selfie shot in the mirrored door in a room.
datasets/COCO/train2014/COCO_train2014_000000114510.jpg
[ "selfie shot", "mirrored door", "room" ]
[ { "positive": "mirrored door", "negative": "open door", "change_type": "attribute_change" }, { "positive": "mirrored door", "negative": "mirrored window", "change_type": "object_change" }, { "positive": "room", "negative": "kitchen", "change_type": "object_change" } ]
[{"subject": "selfie shot", "relation_type": "is in", "object": "mirrored door", "negatives": [{"subject": "selfie shot", "relation_type": "is not in", "object": "mirrored door", "change_type": "negation"}, {"subject": "selfie shot", "relation_type": "is outside", "object": "mirrored door", "change_type": "antonym"}]},...
[ "A room shot in the mirrored selfie in a door .", "in selfie shot A the mirrored door . in room a", "A selfie shot the in mirrored door in a . room", "room . A selfie shot door in a in the mirrored" ]
coco_44344_710610
A woman taking a picture of a room with her reflection in the mirror.
datasets/COCO/train2014/COCO_train2014_000000114510.jpg
[ "woman", "picture", "room", "reflection", "mirror" ]
[ { "positive": "room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "mirror", "negative": "window", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is taking a picture of", "object": "room", "negatives": [{"subject": "woman", "relation_type": "is not taking a picture of", "object": "room", "change_type": "negation"}, {"subject": "woman", "relation_type": "is looking away from", "object": "room", "change_type": "antonym"}]}, ...
[ "A woman taking a room of a picture with her reflection in the mirror .", "taking woman A in picture a with room a the reflection of . mirror her", "taking woman A of picture a a room with her in reflection the mirror .", "A woman taking a picture of a room with the mirror . her reflection in" ]
coco_44344_714654
The person in the picture is taking a photo through a mirror.
datasets/COCO/train2014/COCO_train2014_000000114510.jpg
[ "person", "photo", "mirror" ]
[ { "positive": "mirror", "negative": "window", "change_type": "object_change" } ]
[{"subject": "person", "relation_type": "is taking a photo through", "object": "mirror", "negatives": [{"subject": "person", "relation_type": "is not taking a photo through", "object": "mirror", "change_type": "negation"}, {"subject": "person", "relation_type": "is looking away from", "object": "mirror", "change_type":...
[ "The photo in the picture is taking a mirror through a person .", "a person is in picture through a taking photo . The mirror the", "in The person is picture the photo taking a through mirror a .", "the picture is . The person in taking a photo through a mirror" ]
coco_44344_718596
A living room filled with furniture and a book shelf.
datasets/COCO/train2014/COCO_train2014_000000114510.jpg
[ "living room", "furniture", "book shelf" ]
[ { "positive": "living room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "living room", "negative": "bedroom", "change_type": "object_change" }, { "positive": "furniture", "negative": "electronics", "change_type": "object_change" }, { "p...
[{"subject": "living room", "relation_type": "is filled with", "object": "furniture", "negatives": [{"subject": "living room", "relation_type": "is empty of", "object": "furniture", "change_type": "antonym"}, {"subject": "living room", "relation_type": "is not filled with", "object": "furniture", "change_type": "negati...
[ "A living shelf filled with room and a book furniture .", "filled living room a . furniture and A book shelf with", "room living A filled furniture with a and book . shelf", "filled with furniture and a book shelf . A living room" ]
coco_44345_24579
A partly eaten pizza and a fork with wine on the table.
datasets/COCO/train2014/COCO_train2014_000000062608.jpg
[ "partly eaten pizza", "fork", "wine", "table" ]
[ { "positive": "partly eaten pizza", "negative": "partly eaten burger", "change_type": "object_change" }, { "positive": "partly eaten pizza", "negative": "whole pizza", "change_type": "attribute_change" }, { "positive": "fork", "negative": "spoon", "change_type": "object_c...
[{"subject": "partly eaten pizza", "relation_type": "is on", "object": "table", "negatives": [{"subject": "partly eaten pizza", "relation_type": "is under", "object": "table", "change_type": "antonym"}, {"subject": "partly eaten pizza", "relation_type": "is not on", "object": "table", "change_type": "negation"}, {"subj...
[ "A partly eaten wine and a pizza with table on the fork .", "eaten a the pizza partly with fork and wine . A table on", "partly A eaten pizza and a fork with wine the table on .", ". fork with wine A partly eaten on the table pizza and a" ]
coco_44345_25359
A homemade pizza resting on a table with a wine glass.
datasets/COCO/train2014/COCO_train2014_000000062608.jpg
[ "homemade pizza", "table", "wine glass" ]
[ { "positive": "homemade pizza", "negative": "store-bought pizza", "change_type": "attribute_change" }, { "positive": "homemade pizza", "negative": "homemade burger", "change_type": "object_change" }, { "positive": "table", "negative": "chair", "change_type": "object_chang...
[{"subject": "homemade pizza", "relation_type": "is resting on", "object": "table", "negatives": [{"subject": "homemade pizza", "relation_type": "is falling from", "object": "table", "change_type": "antonym"}, {"subject": "homemade pizza", "relation_type": "is not resting on", "object": "table", "change_type": "negatio...
[ "A wine glass resting on a pizza with a table homemade .", "with homemade pizza . a on table A a wine glass resting", "pizza homemade A a on resting with table a glass . wine", "table with a A homemade pizza resting on a wine glass ." ]
coco_44345_25944
A partially eaten pizza sits on a table with a wineglass.
datasets/COCO/train2014/COCO_train2014_000000062608.jpg
[ "partially eaten pizza", "table", "wineglass" ]
[ { "positive": "partially eaten pizza", "negative": "partially eaten burger", "change_type": "object_change" }, { "positive": "partially eaten pizza", "negative": "fully eaten pizza", "change_type": "attribute_change" }, { "positive": "table", "negative": "chair", "change_...
[{"subject": "partially eaten pizza", "relation_type": "is sitting on", "object": "table", "negatives": [{"subject": "partially eaten pizza", "relation_type": "is standing on", "object": "table", "change_type": "antonym"}, {"subject": "partially eaten pizza", "relation_type": "is not sitting on", "object": "table", "ch...
[ "A partially eaten wineglass sits on a pizza with a table .", "eaten . A pizza sits a with table partially on wineglass a", "eaten partially A sits pizza on a table with a . wineglass", "a wineglass . A partially eaten pizza sits on a table with" ]
coco_44345_26520
A table with a pizza on a plate being eaten.
datasets/COCO/train2014/COCO_train2014_000000062608.jpg
[ "table", "pizza", "plate" ]
[ { "positive": "table", "negative": "chair", "change_type": "object_change" }, { "positive": "pizza", "negative": "burger", "change_type": "object_change" }, { "positive": "plate", "negative": "bowl", "change_type": "object_change" } ]
[{"subject": "pizza", "relation_type": "is on", "object": "plate", "negatives": [{"subject": "pizza", "relation_type": "is off", "object": "plate", "change_type": "antonym"}, {"subject": "pizza", "relation_type": "is not on", "object": "plate", "change_type": "negation"}]}, {"subject": "plate", "relation_type": "is on"...
[ "A plate with a pizza on a table being eaten .", "being table . a pizza a with plate A eaten on", "A table with pizza a on plate a being eaten .", "eaten . A table with a pizza on a plate being" ]
coco_44345_27597
A partially eaten pizza on a white plate.
datasets/COCO/train2014/COCO_train2014_000000062608.jpg
[ "partially eaten pizza", "white plate" ]
[ { "positive": "partially eaten pizza", "negative": "partially eaten burger", "change_type": "object_change" }, { "positive": "partially eaten pizza", "negative": "whole pizza", "change_type": "attribute_change" }, { "positive": "white plate", "negative": "black plate", "c...
[{"subject": "partially eaten pizza", "relation_type": "is on", "object": "white plate", "negatives": [{"subject": "partially eaten pizza", "relation_type": "is under", "object": "white plate", "change_type": "antonym"}, {"subject": "partially eaten pizza", "relation_type": "is not on", "object": "white plate", "change...
[ "A partially eaten pizza on a white plate .", "on A partially pizza a eaten white plate .", "partially eaten A on pizza a plate white .", "white plate . A partially eaten pizza on a" ]
coco_44346_649062
A meal is shown with pizza, coffee, and water.
datasets/COCO/train2014/COCO_train2014_000000313015.jpg
[ "meal", "pizza", "coffee", "water" ]
[ { "positive": "meal", "negative": "snack", "change_type": "object_change" }, { "positive": "pizza", "negative": "burger", "change_type": "object_change" }, { "positive": "coffee", "negative": "tea", "change_type": "object_change" }, { "positive": "water", "neg...
[{"subject": "meal", "relation_type": "includes", "object": "pizza", "negatives": [{"subject": "meal", "relation_type": "excludes", "object": "pizza", "change_type": "antonym"}, {"subject": "meal", "relation_type": "is not including", "object": "pizza", "change_type": "negation"}]}, {"subject": "meal", "relation_type":...
[ "A meal is shown with water , coffee , and pizza .", "A meal . is shown pizza and coffee , , water with", "A meal is shown with pizza coffee , , . and water", ", coffee , shown with pizza and water . A meal is" ]
coco_44346_651102
Three inset pictures including bottled water, small pizza, and cup of coffee.
datasets/COCO/train2014/COCO_train2014_000000313015.jpg
[ "three inset pictures", "bottled water", "small pizza", "cup of coffee" ]
[ { "positive": "bottled water", "negative": "canned soda", "change_type": "object_change" }, { "positive": "bottled water", "negative": "bottled juice", "change_type": "attribute_change" }, { "positive": "small pizza", "negative": "large pizza", "change_type": "attribute_c...
[{"subject": "three inset pictures", "relation_type": "includes", "object": "bottled water", "negatives": [{"subject": "three inset pictures", "relation_type": "excludes", "object": "bottled water", "change_type": "antonym"}, {"subject": "three inset pictures", "relation_type": "does not include", "object": "bottled wa...
[ "Three pizza bottled including coffee inset , water cup , and pictures of small .", "and inset pictures , bottled water including small pizza Three . cup of coffee ,", "inset Three pictures bottled water including , small pizza cup and , of coffee .", "including bottled water of coffee . Three inset pictures ...
coco_44346_653412
A pizza, green bottled beverage and a cup of coffee.
datasets/COCO/train2014/COCO_train2014_000000313015.jpg
[ "pizza", "green bottled beverage", "cup of coffee" ]
[ { "positive": "pizza", "negative": "burger", "change_type": "object_change" }, { "positive": "green bottled beverage", "negative": "yellow bottled beverage", "change_type": "attribute_change" }, { "positive": "green bottled beverage", "negative": "green canned beverage", ...
[]
[ "A bottled , beverage green cup and a coffee of pizza .", ", pizza and green bottled beverage of a cup A coffee .", ", A pizza beverage green bottled a cup and of coffee .", "of coffee . A pizza , and a cup green bottled beverage" ]
coco_44346_653571
Some images of some assorted various food and drink items.
datasets/COCO/train2014/COCO_train2014_000000313015.jpg
[ "assorted various food and drink items" ]
[ { "positive": "assorted various food and drink items", "negative": "assorted various clothing items", "change_type": "object_change" }, { "positive": "assorted various food and drink items", "negative": "assorted various electronic items", "change_type": "object_change" } ]
[]
[ "Some items of some images assorted drink and food various .", "of images . and assorted various food Some drink items some", "images Some of assorted various some drink food and . items", "food and drink Some images of some assorted various items ." ]
coco_44346_657213
Three separate images: one of a bottle, one of a coffee cup, and one of a pizza.
datasets/COCO/train2014/COCO_train2014_000000313015.jpg
[ "three separate images", "bottle", "coffee cup", "pizza" ]
[ { "positive": "bottle", "negative": "bowl", "change_type": "object_change" }, { "positive": "pizza", "negative": "burger", "change_type": "object_change" } ]
[{"subject": "three separate images", "relation_type": "includes", "object": "bottle", "negatives": []}, {"subject": "three separate images", "relation_type": "includes", "object": "coffee cup", "negatives": []}, {"subject": "three separate images", "relation_type": "includes", "object": "pizza", "negatives": []}]
[ "Three cup images : one of a bottle , one of a pizza coffee , and one of a separate .", ", separate images of Three of one one bottle and a a coffee cup : , . one a pizza of", "Three images separate one of : a bottle , one of a cup , coffee and of one . pizza a", "one of a a pizza . Three separate images ...
coco_44347_448743
A cooked pizza on a tray has onion and mushroom topping.
datasets/COCO/train2014/COCO_train2014_000000067339.jpg
[ "cooked pizza", "tray", "onion", "mushroom topping" ]
[ { "positive": "cooked pizza", "negative": "raw pizza", "change_type": "attribute_change" }, { "positive": "cooked pizza", "negative": "cooked burger", "change_type": "object_change" }, { "positive": "tray", "negative": "plate", "change_type": "object_change" }, { ...
[{"subject": "cooked pizza", "relation_type": "is on", "object": "tray", "negatives": [{"subject": "cooked pizza", "relation_type": "is under", "object": "tray", "change_type": "antonym"}, {"subject": "cooked pizza", "relation_type": "is not on", "object": "tray", "change_type": "negation"}, {"subject": "tray", "relati...
[ "A cooked pizza on a topping has tray and mushroom onion .", ". A pizza cooked and tray has onion on mushroom topping a", "A pizza cooked on a tray has and onion topping mushroom .", "has onion and mushroom topping . on a tray A cooked pizza" ]
coco_44347_448821
Pizza covered in onions and garnish on a wooden table.
datasets/COCO/train2014/COCO_train2014_000000067339.jpg
[ "Pizza", "onions", "garnish", "wooden table" ]
[ { "positive": "Pizza", "negative": "Burger", "change_type": "object_change" }, { "positive": "onions", "negative": "mushrooms", "change_type": "object_change" }, { "positive": "garnish", "negative": "sauce", "change_type": "object_change" }, { "positive": "wooden ...
[{"subject": "Pizza", "relation_type": "is covered by", "object": "onions", "negatives": [{"subject": "Pizza", "relation_type": "is exposed", "object": "onions", "change_type": "antonym"}, {"subject": "Pizza", "relation_type": "is not covered by", "object": "onions", "change_type": "negation"}]}, {"subject": "Pizza", "...
[ "garnish covered in wooden and onions on a Pizza table .", "Pizza covered a onions in garnish . on wooden table and", "in covered Pizza and onions garnish wooden a on . table", "onions and garnish on a wooden table . Pizza covered in" ]
coco_44347_449727
Someone is about to serve a full pizza.
datasets/COCO/train2014/COCO_train2014_000000067339.jpg
[ "someone", "full pizza" ]
[ { "positive": "full pizza", "negative": "empty pizza", "change_type": "attribute_change" }, { "positive": "full pizza", "negative": "full burger", "change_type": "object_change" } ]
[{"subject": "someone", "relation_type": "is about to serve", "object": "full pizza", "negatives": [{"subject": "someone", "relation_type": "is not about to serve", "object": "full pizza", "change_type": "negation"}, {"subject": "someone", "relation_type": "is about to drop", "object": "full pizza", "change_type": "ant...
[ "Someone is full to serve a about pizza .", "Someone serve about is a to full pizza .", "is Someone about to serve a full pizza .", "to serve a Someone is about full pizza ." ]
coco_44347_453309
Pizza and pizza paddle laying on a plate
datasets/COCO/train2014/COCO_train2014_000000067339.jpg
[ "Pizza", "pizza paddle", "plate" ]
[ { "positive": "Pizza", "negative": "Burger", "change_type": "object_change" }, { "positive": "pizza paddle", "negative": "burger tray", "change_type": "object_change" }, { "positive": "plate", "negative": "bowl", "change_type": "object_change" } ]
[{"subject": "Pizza", "relation_type": "is laying on", "object": "plate", "negatives": [{"subject": "Pizza", "relation_type": "is not laying on", "object": "plate", "change_type": "negation"}, {"subject": "Pizza", "relation_type": "is under", "object": "plate", "change_type": "antonym"}, {"subject": "plate", "relation_...
[ "Pizza and plate paddle laying on a pizza", "Pizza on pizza paddle laying and a plate", "Pizza pizza and paddle on laying a plate", "paddle laying on Pizza and pizza a plate" ]
coco_44347_824090
Whole pizza with lots of toppings being served on a wood table.
datasets/COCO/train2014/COCO_train2014_000000067339.jpg
[ "whole pizza with lots of toppings", "wood table" ]
[ { "positive": "whole pizza with lots of toppings", "negative": "whole pizza with no toppings", "change_type": "attribute_change" }, { "positive": "wood table", "negative": "metal table", "change_type": "attribute_change" }, { "positive": "wood table", "negative": "wood chair"...
[{"subject": "whole pizza with lots of toppings", "relation_type": "is being served on", "object": "wood table", "negatives": [{"subject": "whole pizza with lots of toppings", "relation_type": "is being taken off", "object": "wood table", "change_type": "antonym"}, {"subject": "whole pizza with lots of toppings", "rela...
[ "table toppings with wood of lots being served on a pizza Whole .", "Whole pizza served lots of toppings . with being a wood table on", "with Whole pizza toppings of lots served being on a wood table .", ". Whole pizza with lots of toppings a wood table being served on" ]
coco_44348_372325
A small pizza is shown with green beans.
datasets/COCO/train2014/COCO_train2014_000000365034.jpg
[ "small pizza", "green beans" ]
[ { "positive": "small pizza", "negative": "large pizza", "change_type": "attribute_change" }, { "positive": "small pizza", "negative": "small burger", "change_type": "object_change" }, { "positive": "green beans", "negative": "red beans", "change_type": "attribute_change" ...
[{"subject": "small pizza", "relation_type": "is with", "object": "green beans", "negatives": [{"subject": "small pizza", "relation_type": "is without", "object": "green beans", "change_type": "antonym"}, {"subject": "small pizza", "relation_type": "is away from", "object": "green beans", "change_type": "antonym"}, {"s...
[ "A beans green is shown with pizza small .", "A small pizza shown is with green beans .", "A small pizza shown is with . green beans", "is shown with green beans . A small pizza" ]
coco_44348_373045
A thick crust pizza with asparagus, tomatoes , cheese and onions.
datasets/COCO/train2014/COCO_train2014_000000365034.jpg
[ "thick crust pizza", "asparagus", "tomatoes", "cheese", "onions" ]
[ { "positive": "thick crust pizza", "negative": "thin crust pizza", "change_type": "attribute_change" }, { "positive": "thick crust pizza", "negative": "thick crust burger", "change_type": "object_change" }, { "positive": "asparagus", "negative": "broccoli", "change_type":...
[{"subject": "thick crust pizza", "relation_type": "has", "object": "asparagus", "negatives": []}, {"subject": "thick crust pizza", "relation_type": "has", "object": "tomatoes", "negatives": []}, {"subject": "thick crust pizza", "relation_type": "has", "object": "cheese", "negatives": []}, {"subject": "thick crust pizz...
[ "A asparagus thick onions with tomatoes , crust , cheese and pizza .", "and thick crust pizza A asparagus . tomatoes , cheese with onions ,", "A thick crust asparagus with pizza , tomatoes , onions cheese and .", "pizza with asparagus . cheese and onions , tomatoes , A thick crust" ]
coco_44348_375418
A prepared pizza being served on a platter.
datasets/COCO/train2014/COCO_train2014_000000365034.jpg
[ "prepared pizza", "platter" ]
[ { "positive": "prepared pizza", "negative": "prepared burger", "change_type": "object_change" }, { "positive": "platter", "negative": "plate", "change_type": "object_change" }, { "positive": "platter", "negative": "tray", "change_type": "object_change" } ]
[{"subject": "prepared pizza", "relation_type": "is being served on", "object": "platter", "negatives": [{"subject": "prepared pizza", "relation_type": "is not being served on", "object": "platter", "change_type": "negation"}, {"subject": "prepared pizza", "relation_type": "is being removed from", "object": "platter", ...
[ "A platter pizza being served on a prepared .", ". prepared pizza served on being a platter A", "A prepared pizza served on being . a platter", "A prepared pizza a platter . being served on" ]
coco_44348_376333
A pizza is shown with various toppings on it.
datasets/COCO/train2014/COCO_train2014_000000365034.jpg
[ "pizza", "various toppings" ]
[ { "positive": "pizza", "negative": "burger", "change_type": "object_change" }, { "positive": "various toppings", "negative": "various vegetables", "change_type": "object_change" }, { "positive": "various toppings", "negative": "single topping", "change_type": "attribute_c...
[{"subject": "pizza", "relation_type": "has", "object": "various toppings", "negatives": [{"subject": "pizza", "relation_type": "is without", "object": "various toppings", "change_type": "antonym"}, {"subject": "pizza", "relation_type": "does not have", "object": "various toppings", "change_type": "negation"}]}]
[ "A pizza is shown with various toppings on it .", "on pizza it shown . various toppings is A with", "A is pizza shown various with it toppings on .", "toppings on it A pizza is shown with various ." ]
coco_44348_376693
A personal sized pizza with onions, asparagus, tomatoes, and chicken.
datasets/COCO/train2014/COCO_train2014_000000365034.jpg
[ "personal sized pizza", "onions", "asparagus", "tomatoes", "chicken" ]
[ { "positive": "personal sized pizza", "negative": "family sized pizza", "change_type": "attribute_change" }, { "positive": "personal sized pizza", "negative": "personal sized burger", "change_type": "object_change" }, { "positive": "onions", "negative": "peppers", "change...
[{"subject": "personal sized pizza", "relation_type": "has", "object": "onions", "negatives": []}, {"subject": "personal sized pizza", "relation_type": "has", "object": "asparagus", "negatives": []}, {"subject": "personal sized pizza", "relation_type": "has", "object": "tomatoes", "negatives": []}, {"subject": "persona...
[ "A sized tomatoes chicken with onions , personal , asparagus , and pizza .", "and personal sized pizza . onions , asparagus A tomatoes , with chicken ,", "personal A sized with pizza onions , , asparagus and tomatoes , . chicken", "A personal sized tomatoes , and chicken . pizza with onions , asparagus ," ]
coco_44349_770862
A woman holding a slice of pizza near her face.
datasets/COCO/train2014/COCO_train2014_000000360279.jpg
[ "woman", "slice of pizza" ]
[ { "positive": "slice of pizza", "negative": "slice of cake", "change_type": "object_change" }, { "positive": "slice of pizza", "negative": "slice of bread", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is holding", "object": "slice of pizza", "negatives": [{"subject": "woman", "relation_type": "is dropping", "object": "slice of pizza", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not holding", "object": "slice of pizza", "change_type": "negation"}, {"sub...
[ "A slice holding a face of pizza near her woman .", "near woman of holding slice a pizza A . face her", "woman holding A a of slice her near pizza . face", "A woman holding pizza near her a slice of face ." ]
coco_44349_774006
A women is eating a slice of pizza.
datasets/COCO/train2014/COCO_train2014_000000360279.jpg
[ "women", "slice of pizza" ]
[ { "positive": "women", "negative": "man", "change_type": "attribute_change" }, { "positive": "women", "negative": "woman drinking a soda", "change_type": "attribute_change" }, { "positive": "slice of pizza", "negative": "slice of cake", "change_type": "object_change" },...
[{"subject": "women", "relation_type": "is eating", "object": "slice of pizza", "negatives": [{"subject": "women", "relation_type": "is not eating", "object": "slice of pizza", "change_type": "negation"}]}]
[ "A slice is eating a pizza of women .", "of women . is A slice eating pizza a", "A is women slice eating a . of pizza", "eating a slice of pizza . A women is" ]
coco_44349_776049
a woman is eating a piece of pizza
datasets/COCO/train2014/COCO_train2014_000000360279.jpg
[ "woman", "piece of pizza" ]
[ { "positive": "piece of pizza", "negative": "slice of cake", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is eating", "object": "piece of pizza", "negatives": [{"subject": "woman", "relation_type": "is not eating", "object": "piece of pizza", "change_type": "negation"}]}]
[ "a woman is eating a pizza of piece", "a woman is of eating piece a pizza", "woman is a eating piece a pizza of", "of pizza a woman is eating a piece" ]
coco_44349_777006
A woman smiling eating a slice of pizza.
datasets/COCO/train2014/COCO_train2014_000000360279.jpg
[ "woman", "slice of pizza" ]
[ { "positive": "slice of pizza", "negative": "slice of cake", "change_type": "object_change" }, { "positive": "slice of pizza", "negative": "empty pizza box", "change_type": "attribute_change" } ]
[{"subject": "woman", "relation_type": "is eating", "object": "slice of pizza", "negatives": [{"subject": "woman", "relation_type": "is not eating", "object": "slice of pizza", "change_type": "negation"}, {"subject": "woman", "relation_type": "is dropping", "object": "slice of pizza", "change_type": "antonym"}]}]
[ "A woman smiling eating a pizza of slice .", "A woman . eating a slice of pizza smiling", "woman smiling A a slice eating of . pizza", "A woman smiling eating a slice of pizza ." ]
coco_44349_778464
A woman that is sitting down with a slice of pizza.
datasets/COCO/train2014/COCO_train2014_000000360279.jpg
[ "woman", "slice of pizza" ]
[ { "positive": "slice of pizza", "negative": "slice of cake", "change_type": "object_change" }, { "positive": "slice of pizza", "negative": "slice of bread", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is sitting with", "object": "slice of pizza", "negatives": [{"subject": "woman", "relation_type": "is sitting without", "object": "slice of pizza", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not sitting with", "object": "slice of pizza", "change_type": "...
[ "A woman that is sitting down with a slice of pizza .", "of woman that sitting A a is with slice . pizza down", "that woman A is sitting down slice a with of . pizza", "is sitting down with a slice of pizza . A woman that" ]
coco_44350_310767
A table with servings of pastries on trays.
datasets/COCO/train2014/COCO_train2014_000000209603.jpg
[ "table", "servings of pastries", "trays" ]
[ { "positive": "table", "negative": "chair", "change_type": "object_change" }, { "positive": "servings of pastries", "negative": "servings of fruits", "change_type": "object_change" }, { "positive": "trays", "negative": "plates", "change_type": "object_change" } ]
[{"subject": "servings of pastries", "relation_type": "are on", "object": "table", "negatives": [{"subject": "servings of pastries", "relation_type": "are under", "object": "table", "change_type": "antonym"}, {"subject": "servings of pastries", "relation_type": "are not on", "object": "table", "change_type": "negation"...
[ "A servings with table of trays on pastries .", "on table A servings of pastries . trays with", "table A with of servings pastries . trays on", "on trays . A table with servings of pastries" ]
coco_44350_311034
Bread arranged on a rubber mat with a camera hovering.
datasets/COCO/train2014/COCO_train2014_000000209603.jpg
[ "bread", "rubber mat", "camera" ]
[ { "positive": "rubber mat", "negative": "metal mat", "change_type": "attribute_change" }, { "positive": "camera", "negative": "microwave", "change_type": "object_change" } ]
[{"subject": "bread", "relation_type": "is arranged on", "object": "rubber mat", "negatives": [{"subject": "bread", "relation_type": "is under", "object": "rubber mat", "change_type": "antonym"}, {"subject": "bread", "relation_type": "is not arranged on", "object": "rubber mat", "change_type": "negation"}, {"subject": ...
[ "mat arranged on a camera Bread with a rubber hovering .", "Bread arranged on . rubber mat a with camera hovering a", "arranged Bread on a rubber mat camera with a hovering .", "with a camera a rubber mat hovering . Bread arranged on" ]
coco_44350_313632
Pieces of flat bread lay on pans on a wood table.
datasets/COCO/train2014/COCO_train2014_000000209603.jpg
[ "Pieces of flat bread", "pans", "wood table" ]
[ { "positive": "Pieces of flat bread", "negative": "Pieces of pizza", "change_type": "object_change" }, { "positive": "Pieces of flat bread", "negative": "Pieces of flat cake", "change_type": "attribute_change" }, { "positive": "pans", "negative": "plates", "change_type": ...
[{"subject": "Pieces of flat bread", "relation_type": "are on", "object": "pans", "negatives": [{"subject": "Pieces of flat bread", "relation_type": "are under", "object": "pans", "change_type": "antonym"}, {"subject": "Pieces of flat bread", "relation_type": "are not on", "object": "pans", "change_type": "negation"}]}...
[ "flat of pans Pieces lay on table on a bread wood .", "Pieces of flat bread . lay pans on on wood table a", "flat Pieces of bread lay on a on pans wood table .", "wood table . bread lay on pans on a Pieces of flat" ]
coco_44350_314133
Two black cooling rack shoaling pieces of pizza.
datasets/COCO/train2014/COCO_train2014_000000209603.jpg
[ "two black cooling rack shoaling pieces of pizza" ]
[ { "positive": "two black cooling rack shoaling pieces of pizza", "negative": "two black baking tray shoaling pieces of pizza", "change_type": "object_change" } ]
[]
[ "Two cooling black rack shoaling pizza of pieces .", ". black cooling rack Two pieces shoaling pizza of", "Two black cooling pieces shoaling rack . of pizza", "Two black cooling of pizza . rack shoaling pieces" ]
coco_44350_315498
A number of pizzaz sitting on a wood table
datasets/COCO/train2014/COCO_train2014_000000209603.jpg
[ "a number of pizzaz", "wood table" ]
[ { "positive": "a number of pizzaz", "negative": "a number of burgers", "change_type": "object_change" }, { "positive": "a number of pizzaz", "negative": "a number of pizzas", "change_type": "attribute_change" }, { "positive": "wood table", "negative": "metal table", "chan...
[{"subject": "a number of pizzaz", "relation_type": "is sitting on", "object": "wood table", "negatives": [{"subject": "a number of pizzaz", "relation_type": "is standing on", "object": "wood table", "change_type": "antonym"}, {"subject": "a number of pizzaz", "relation_type": "is under", "object": "wood table", "chang...
[ "A table of pizzaz sitting on a number wood", "of number a pizzaz sitting A on wood table", "of number A sitting pizzaz on table a wood", "pizzaz sitting on A number of a wood table" ]
coco_44351_414681
A living room with a small tv, couch, and hardwood floors.
datasets/COCO/train2014/COCO_train2014_000000045215.jpg
[ "living room", "small tv", "couch", "hardwood floors" ]
[ { "positive": "living room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "living room", "negative": "bedroom", "change_type": "object_change" }, { "positive": "small tv", "negative": "large tv", "change_type": "attribute_change" }, { "po...
[{"subject": "living room", "relation_type": "contains", "object": "small tv", "negatives": [{"subject": "living room", "relation_type": "does not contain", "object": "small tv", "change_type": "negation"}]}, {"subject": "living room", "relation_type": "contains", "object": "couch", "negatives": [{"subject": "living ro...
[ "A hardwood living with a small floors , room , and tv couch .", ", living room A , small tv with couch and a hardwood floors .", "A living room small a with couch , tv and hardwood , . floors", "with a small A living room floors . tv , couch , and hardwood" ]
coco_44351_415332
A living room has brown shiny wooden floors.
datasets/COCO/train2014/COCO_train2014_000000045215.jpg
[ "living room", "brown shiny wooden floors" ]
[ { "positive": "living room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "living room", "negative": "bedroom", "change_type": "object_change" }, { "positive": "brown shiny wooden floors", "negative": "white smooth tile floors", "change_type": "a...
[{"subject": "living room", "relation_type": "has", "object": "brown shiny wooden floors", "negatives": [{"subject": "living room", "relation_type": "is without", "object": "brown shiny wooden floors", "change_type": "antonym"}, {"subject": "living room", "relation_type": "does not have", "object": "brown shiny wooden ...
[ "A living brown has floors room wooden shiny .", "A living room . brown shiny wooden floors has", "A room living has brown shiny floors . wooden", "wooden floors . has brown shiny A living room" ]
coco_44351_418257
a living room area with wood floors and couch
datasets/COCO/train2014/COCO_train2014_000000045215.jpg
[ "living room area", "wood floors", "couch" ]
[ { "positive": "living room area", "negative": "kitchen area", "change_type": "object_change" }, { "positive": "living room area", "negative": "bedroom area", "change_type": "object_change" }, { "positive": "wood floors", "negative": "tile floors", "change_type": "object_c...
[{"subject": "living room area", "relation_type": "has", "object": "wood floors", "negatives": [{"subject": "living room area", "relation_type": "does not have", "object": "wood floors", "change_type": "negation"}, {"subject": "living room area", "relation_type": "is without", "object": "wood floors", "change_type": "a...
[ "a room living couch with wood area and floors", "with living room area and wood floors a couch", "room living a with area wood couch floors and", "area with wood a living room floors and couch" ]
coco_44351_424716
A living room area with hardwood floors and a television at the end of the room.
datasets/COCO/train2014/COCO_train2014_000000045215.jpg
[ "living room area", "hardwood floors", "television" ]
[ { "positive": "living room area", "negative": "kitchen area", "change_type": "object_change" }, { "positive": "living room area", "negative": "bedroom area", "change_type": "object_change" }, { "positive": "hardwood floors", "negative": "carpeted floors", "change_type": "...
[{"subject": "television", "relation_type": "is at the end of", "object": "living room area", "negatives": [{"subject": "television", "relation_type": "is in the middle of", "object": "living room area", "change_type": "antonym"}, {"subject": "television", "relation_type": "is not at the end of", "object": "living room...
[ "A end floors television with hardwood room and a area at the living of the room .", "of living room area and hardwood floors A the television . with end a the room at", "living room A with hardwood area floors a and the at television of end the room .", "end of the floors and a room . area with hardwood tele...
coco_44351_425883
A living room has a table, couch, chair and television.
datasets/COCO/train2014/COCO_train2014_000000045215.jpg
[ "living room", "table", "couch", "chair", "television" ]
[ { "positive": "living room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "living room", "negative": "bedroom", "change_type": "object_change" }, { "positive": "chair", "negative": "bench", "change_type": "object_change" }, { "positive": ...
[{"subject": "living room", "relation_type": "has", "object": "table", "negatives": [{"subject": "living room", "relation_type": "does not have", "object": "table", "change_type": "negation"}]}, {"subject": "living room", "relation_type": "has", "object": "couch", "negatives": [{"subject": "living room", "relation_type...
[ "A couch room has a chair , living , table and television .", ", living room , and table a couch A chair has television .", "room living A table has a , couch , chair television and .", ", couch , . A living room chair and television has a table" ]
coco_44352_315324
This desk has a computer and two laptops on it.
datasets/COCO/train2014/COCO_train2014_000000004575.jpg
[ "desk", "computer", "two laptops" ]
[ { "positive": "desk", "negative": "table", "change_type": "object_change" }, { "positive": "computer", "negative": "tablet", "change_type": "object_change" }, { "positive": "computer", "negative": "printer", "change_type": "object_change" }, { "positive": "compute...
[{"subject": "desk", "relation_type": "has", "object": "computer", "negatives": [{"subject": "desk", "relation_type": "does not have", "object": "computer", "change_type": "negation"}, {"subject": "desk", "relation_type": "is without", "object": "computer", "change_type": "antonym"}]}, {"subject": "desk", "relation_typ...
[ "This laptops has a desk and two computer on it .", "two desk . on computer This and laptops it a has", "desk has This and computer a on laptops two it .", "This desk has it . two laptops on a computer and" ]
coco_44352_319029
Three computers and a microphone on a desk.
datasets/COCO/train2014/COCO_train2014_000000004575.jpg
[ "three computers", "microphone", "desk" ]
[ { "positive": "three computers", "negative": "one computer", "change_type": "attribute_change" }, { "positive": "three computers", "negative": "three phones", "change_type": "object_change" }, { "positive": "microphone", "negative": "speaker", "change_type": "object_chang...
[{"subject": "three computers", "relation_type": "are on", "object": "desk", "negatives": [{"subject": "three computers", "relation_type": "are under", "object": "desk", "change_type": "antonym"}, {"subject": "three computers", "relation_type": "are not on", "object": "desk", "change_type": "negation"}, {"subject": "de...
[ "Three microphone and a desk on a computers .", "and computers Three on microphone a . desk a", "and computers Three on microphone a . desk a", "a desk . Three computers and a microphone on" ]
coco_44352_323982
A desk of computers and a microphone and mouse.
datasets/COCO/train2014/COCO_train2014_000000004575.jpg
[ "desk of computers", "microphone", "mouse" ]
[ { "positive": "desk of computers", "negative": "desk of books", "change_type": "object_change" }, { "positive": "desk of computers", "negative": "desk of plants", "change_type": "object_change" }, { "positive": "desk of computers", "negative": "desk of papers", "change_ty...
[{"subject": "desk of computers", "relation_type": "has", "object": "microphone", "negatives": [{"subject": "desk of computers", "relation_type": "does not have", "object": "microphone", "change_type": "negation"}, {"subject": "desk of computers", "relation_type": "is without", "object": "microphone", "change_type": "a...
[ "A desk of computers and a microphone and mouse .", "a desk of computers A and microphone . mouse and", "A of desk and computers a mouse microphone and .", "A desk of computers and a microphone and mouse ." ]
coco_44352_325116
A home computer setup with two laptops on a desk.
datasets/COCO/train2014/COCO_train2014_000000004575.jpg
[ "home computer setup", "two laptops", "desk" ]
[ { "positive": "home computer setup", "negative": "home office setup", "change_type": "object_change" }, { "positive": "two laptops", "negative": "one laptop", "change_type": "attribute_change" }, { "positive": "two laptops", "negative": "two tablets", "change_type": "obje...
[{"subject": "home computer setup", "relation_type": "includes", "object": "two laptops", "negatives": [{"subject": "home computer setup", "relation_type": "excludes", "object": "two laptops", "change_type": "antonym"}, {"subject": "home computer setup", "relation_type": "is not including", "object": "two laptops", "ch...
[ "A home computer laptops with two setup on a desk .", ". home computer setup two a laptops A on desk with", "home computer A with two setup a laptops on desk .", "laptops on a setup with two desk . A home computer" ]
coco_44352_326553
A pair of laptops by a monitor and a microphone.
datasets/COCO/train2014/COCO_train2014_000000004575.jpg
[ "a pair of laptops", "monitor", "microphone" ]
[ { "positive": "a pair of laptops", "negative": "a pair of tablets", "change_type": "object_change" }, { "positive": "monitor", "negative": "television", "change_type": "object_change" }, { "positive": "microphone", "negative": "speaker", "change_type": "object_change" }...
[{"subject": "a pair of laptops", "relation_type": "is by", "object": "monitor", "negatives": [{"subject": "a pair of laptops", "relation_type": "is away from", "object": "monitor", "change_type": "antonym"}, {"subject": "a pair of laptops", "relation_type": "is not by", "object": "monitor", "change_type": "negation"}]...
[ "A microphone of laptops by a monitor and a pair .", "A pair by laptops a and monitor a . microphone of", "of A pair laptops a by monitor a and . microphone", "laptops by a monitor and a A pair of microphone ." ]
coco_44353_438360
A woman with a toothbrush in her mouth.
datasets/COCO/train2014/COCO_train2014_000000515102.jpg
[ "woman", "toothbrush" ]
[ { "positive": "toothbrush", "negative": "comb", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "toothpaste", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is holding", "object": "toothbrush", "negatives": [{"subject": "woman", "relation_type": "is dropping", "object": "toothbrush", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not holding", "object": "toothbrush", "change_type": "negation"}, {"subject": "toot...
[ "A mouth with a toothbrush in her woman .", "a woman A . toothbrush her with mouth in", "with A woman in a toothbrush her mouth .", "A woman with a toothbrush in her mouth ." ]
coco_44353_438870
A person standing with a toothbrush in their mouth.
datasets/COCO/train2014/COCO_train2014_000000515102.jpg
[ "person", "toothbrush" ]
[ { "positive": "toothbrush", "negative": "comb", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "toothpaste", "change_type": "object_change" } ]
[{"subject": "person", "relation_type": "is holding", "object": "toothbrush", "negatives": [{"subject": "person", "relation_type": "is dropping", "object": "toothbrush", "change_type": "antonym"}, {"subject": "person", "relation_type": "is not holding", "object": "toothbrush", "change_type": "negation"}]}]
[ "A mouth standing with a person in their toothbrush .", "a person with in their toothbrush A standing mouth .", "person A standing toothbrush a with their in mouth .", "with a toothbrush . A person standing in their mouth" ]
coco_44353_439671
A woman in orange shirt brushing her teeth with clear toothbrush.
datasets/COCO/train2014/COCO_train2014_000000515102.jpg
[ "woman in orange shirt", "clear toothbrush" ]
[ { "positive": "woman in orange shirt", "negative": "woman in blue shirt", "change_type": "attribute_change" }, { "positive": "woman in orange shirt", "negative": "woman in orange dress", "change_type": "attribute_change" }, { "positive": "clear toothbrush", "negative": "blue ...
[{"subject": "woman in orange shirt", "relation_type": "is brushing her teeth with", "object": "clear toothbrush", "negatives": [{"subject": "woman in orange shirt", "relation_type": "is not brushing her teeth with", "object": "clear toothbrush", "change_type": "negation"}, {"subject": "woman in orange shirt", "relatio...
[ "A clear in shirt teeth brushing her toothbrush with woman orange .", ". woman with orange shirt brushing her teeth A clear toothbrush in", "A woman in brushing shirt orange with her teeth . clear toothbrush", "orange shirt brushing clear toothbrush . A woman in her teeth with" ]
coco_44353_441258
a woman looking in a camera while brushing her teeth
datasets/COCO/train2014/COCO_train2014_000000515102.jpg
[ "woman", "camera", "toothbrush" ]
[ { "positive": "camera", "negative": "mirror", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "comb", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "toothpaste", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is looking at", "object": "camera", "negatives": [{"subject": "woman", "relation_type": "is not looking at", "object": "camera", "change_type": "negation"}, {"subject": "woman", "relation_type": "is looking away from", "object": "camera", "change_type": "antonym"}]}, {"subject": ...
[ "a teeth looking in a woman while brushing her camera", "while woman a her brushing camera a in looking teeth", "woman a looking in a camera while her brushing teeth", "in a camera a woman looking while brushing her teeth" ]
coco_44353_443991
Why is she looking scared while brushing her teeth?
datasets/COCO/train2014/COCO_train2014_000000515102.jpg
[ "she", "brushing her teeth" ]
[ { "positive": "brushing her teeth", "negative": "brushing her hair", "change_type": "object_change" }, { "positive": "brushing her teeth", "negative": "brushing her hands", "change_type": "object_change" } ]
[{"subject": "she", "relation_type": "is looking", "object": "scared", "negatives": []}, {"subject": "she", "relation_type": "is brushing", "object": "her teeth", "negatives": []}]
[ "Why is she looking teeth while brushing her scared ?", "brushing her Why looking scared while is ? teeth she", "she is Why looking while scared her teeth brushing ?", "? Why is she brushing her teeth looking scared while" ]
coco_44354_2147
A woman holding a Nintendo Wii controller and smiling.
datasets/COCO/train2014/COCO_train2014_000000276711.jpg
[ "woman", "Nintendo Wii controller" ]
[ { "positive": "Nintendo Wii controller", "negative": "Sony PlayStation controller", "change_type": "object_change" }, { "positive": "Nintendo Wii controller", "negative": "Nintendo Switch controller", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is holding", "object": "Nintendo Wii controller", "negatives": [{"subject": "woman", "relation_type": "is dropping", "object": "Nintendo Wii controller", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not holding", "object": "Nintendo Wii controller", "chang...
[ "A Wii holding a controller Nintendo woman and smiling .", "and woman . a Nintendo Wii controller A smiling holding", "A woman holding a Nintendo Wii and smiling controller .", "a Nintendo Wii controller and smiling . A woman holding" ]
coco_44354_4871
A lady at a party having a good time.
datasets/COCO/train2014/COCO_train2014_000000276711.jpg
[ "lady", "party" ]
[ { "positive": "lady", "negative": "man", "change_type": "object_change" } ]
[{"subject": "lady", "relation_type": "is at", "object": "party", "negatives": [{"subject": "lady", "relation_type": "is not at", "object": "party", "change_type": "negation"}, {"subject": "party", "relation_type": "is at", "object": "lady", "change_type": "subject_object_swap"}]}, {"subject": "lady", "relation_type": ...
[ "A party at a lady having a time good .", ". lady having a party A at good time a", "A at lady a party having time good a .", "a party having a good time A lady at ." ]
coco_44354_5963
Friends smile as they play video games together.
datasets/COCO/train2014/COCO_train2014_000000276711.jpg
[ "friends", "video games" ]
[ { "positive": "friends", "negative": "strangers", "change_type": "object_change" }, { "positive": "friends", "negative": "family members", "change_type": "object_change" } ]
[{"subject": "friends", "relation_type": "are playing", "object": "video games", "negatives": [{"subject": "friends", "relation_type": "are not playing", "object": "video games", "change_type": "negation"}, {"subject": "friends", "relation_type": "are watching", "object": "video games", "change_type": "antonym"}]}]
[ "video smile as they play Friends games together .", "Friends smile play . together video games they as", "smile as Friends they video play . together games", "games together . they play video Friends smile as" ]
coco_44354_6317
A group of people are playing with a Wii.
datasets/COCO/train2014/COCO_train2014_000000276711.jpg
[ "group of people", "Wii" ]
[ { "positive": "Wii", "negative": "Xbox", "change_type": "object_change" }, { "positive": "Wii", "negative": "PlayStation", "change_type": "object_change" } ]
[{"subject": "group of people", "relation_type": "are playing with", "object": "Wii", "negatives": [{"subject": "group of people", "relation_type": "are not playing with", "object": "Wii", "change_type": "negation"}, {"subject": "group of people", "relation_type": "are putting down", "object": "Wii", "change_type": "an...
[ "A Wii of people are playing with a group .", "a group with people playing of . are Wii A", "A group of people playing are with a Wii .", ". A group of people are playing with a Wii" ]
coco_44354_11534
A woman laughs while using a game controller.
datasets/COCO/train2014/COCO_train2014_000000276711.jpg
[ "woman", "game controller" ]
[ { "positive": "game controller", "negative": "remote control", "change_type": "object_change" }, { "positive": "game controller", "negative": "wireless keyboard", "change_type": "object_change" } ]
[{"subject": "woman", "relation_type": "is using", "object": "game controller", "negatives": [{"subject": "woman", "relation_type": "is not using", "object": "game controller", "change_type": "negation"}, {"subject": "woman", "relation_type": "is putting down", "object": "game controller", "change_type": "antonym"}]}]
[ "A woman laughs while using a game controller .", "using woman A . while laughs game controller a", "woman laughs A using while a game . controller", "game controller . A woman laughs while using a" ]
coco_44355_602773
A couple of women playing a game with remote controllers.
datasets/COCO/train2014/COCO_train2014_000000287233.jpg
[ "a couple of women", "remote controllers", "a game" ]
[ { "positive": "a couple of women", "negative": "a couple of men", "change_type": "attribute_change" }, { "positive": "a couple of women", "negative": "a group of women", "change_type": "attribute_change" }, { "positive": "remote controllers", "negative": "smartphones", "c...
[{"subject": "a couple of women", "relation_type": "are playing", "object": "a game", "negatives": []}, {"subject": "a couple of women", "relation_type": "are using", "object": "remote controllers", "negatives": []}]
[ "A controllers of game playing a women with couple remote .", "playing couple A women with . game a remote controllers of", "couple of A a playing women remote with game . controllers", "women playing a game with remote A couple of controllers ." ]
coco_44355_605932
two people standing in a living room playing nintendo wii
datasets/COCO/train2014/COCO_train2014_000000287233.jpg
[ "two people", "living room", "nintendo wii" ]
[ { "positive": "two people", "negative": "three people", "change_type": "attribute_change" }, { "positive": "living room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "living room", "negative": "garden", "change_type": "object_change" }, { ...
[{"subject": "two people", "relation_type": "are standing in", "object": "living room", "negatives": [{"subject": "two people", "relation_type": "are sitting in", "object": "living room", "change_type": "antonym"}, {"subject": "two people", "relation_type": "are not standing in", "object": "living room", "change_type":...
[ "two room standing in a living wii playing people nintendo", "a people playing in two living room standing nintendo wii", "people two standing in living a nintendo room playing wii", "in a living two people standing room playing nintendo wii" ]
coco_44355_611647
Various people are acknowledging life and having an unfathomable moment.
datasets/COCO/train2014/COCO_train2014_000000287233.jpg
[ "various people", "life", "unfathomable moment" ]
[ { "positive": "various people", "negative": "various animals", "change_type": "object_change" }, { "positive": "various people", "negative": "various trees", "change_type": "object_change" }, { "positive": "life", "negative": "death", "change_type": "object_change" }, ...
[{"subject": "various people", "relation_type": "are acknowledging", "object": "life", "negatives": [{"subject": "various people", "relation_type": "are not acknowledging", "object": "life", "change_type": "negation"}]}, {"subject": "various people", "relation_type": "are having", "object": "unfathomable moment", "nega...
[ "unfathomable life are acknowledging Various and having an people moment .", "Various people . are life having acknowledging an unfathomable moment and", "Various are people life acknowledging and having unfathomable an moment .", "having an unfathomable acknowledging life and Various people are moment ." ]
coco_44355_612667
A couple of women standing next to each other in a room
datasets/COCO/train2014/COCO_train2014_000000287233.jpg
[ "a couple of women", "room" ]
[ { "positive": "a couple of women", "negative": "a couple of men", "change_type": "attribute_change" }, { "positive": "a couple of women", "negative": "a group of women", "change_type": "attribute_change" }, { "positive": "room", "negative": "park", "change_type": "object_...
[{"subject": "a couple of women", "relation_type": "are standing next to", "object": "room", "negatives": [{"subject": "a couple of women", "relation_type": "are away from", "object": "room", "change_type": "antonym"}, {"subject": "a couple of women", "relation_type": "are not standing next to", "object": "room", "chan...
[ "A women of couple standing next to each other in a room", "next couple each women a A standing in other of to room", "of A couple next women standing each other to room in a", "to each other in a room A couple of women standing next" ]
coco_44355_614281
two women are playing a video game
datasets/COCO/train2014/COCO_train2014_000000287233.jpg
[ "two women", "video game" ]
[ { "positive": "two women", "negative": "one woman", "change_type": "attribute_change" }, { "positive": "two women", "negative": "two men", "change_type": "attribute_change" } ]
[{"subject": "two women", "relation_type": "are playing", "object": "video game", "negatives": [{"subject": "two women", "relation_type": "are not playing", "object": "video game", "change_type": "negation"}, {"subject": "two women", "relation_type": "are watching", "object": "video game", "change_type": "antonym"}]}]
[ "two video are playing a game women", "are women two playing a video game", "women two are a playing video game", "playing a video game two women are" ]
coco_44356_75210
A young boy brushing his teeth over a sink.
datasets/COCO/train2014/COCO_train2014_000000012873.jpg
[ "young boy", "sink" ]
[ { "positive": "young boy", "negative": "young girl", "change_type": "attribute_change" }, { "positive": "young boy", "negative": "old man", "change_type": "attribute_change" }, { "positive": "sink", "negative": "toilet", "change_type": "object_change" }, { "positi...
[{"subject": "young boy", "relation_type": "is brushing his teeth over", "object": "sink", "negatives": [{"subject": "young boy", "relation_type": "is not brushing his teeth over", "object": "sink", "change_type": "negation"}, {"subject": "young boy", "relation_type": "is away from", "object": "sink", "change_type": "a...
[ "A sink young brushing his boy over a teeth .", "A young boy his over teeth brushing a sink .", "A young boy teeth brushing his over sink a .", "over a sink A young boy . brushing his teeth" ]
coco_44356_77196
A toddler boy holding toothpaste in one hand and putting the toothbrush in his mouth with the other
datasets/COCO/train2014/COCO_train2014_000000012873.jpg
[ "toddler boy", "toothpaste", "toothbrush" ]
[ { "positive": "toddler boy", "negative": "toddler girl", "change_type": "attribute_change" }, { "positive": "toothbrush", "negative": "child holding comb", "change_type": "object_change" } ]
[{"subject": "toddler boy", "relation_type": "is holding", "object": "toothpaste", "negatives": [{"subject": "toddler boy", "relation_type": "is dropping", "object": "toothpaste", "change_type": "antonym"}, {"subject": "toddler boy", "relation_type": "is not holding", "object": "toothpaste", "change_type": "negation"}]...
[ "A hand toothbrush holding mouth in one boy and putting the toddler in his toothpaste with the other", "and toddler boy A toothpaste in with hand in the holding toothbrush one the mouth putting his other", "boy A toddler holding in toothpaste one hand and toothbrush putting the his mouth in other with the", "...
coco_44356_78699
A small child standing at a sink brushing their teeth.
datasets/COCO/train2014/COCO_train2014_000000012873.jpg
[ "small child", "sink", "toothbrush" ]
[ { "positive": "small child", "negative": "tall man", "change_type": "object_change" }, { "positive": "small child", "negative": "small dog", "change_type": "object_change" }, { "positive": "sink", "negative": "toilet", "change_type": "object_change" }, { "positive...
[{"subject": "small child", "relation_type": "is standing at", "object": "sink", "negatives": [{"subject": "small child", "relation_type": "is sitting at", "object": "sink", "change_type": "antonym"}, {"subject": "small child", "relation_type": "is not standing at", "object": "sink", "change_type": "negation"}, {"subje...
[ "A sink child standing at a small brushing their teeth .", "A small child a standing their sink . brushing teeth at", "child A small standing at a brushing sink their . teeth", "A small child sink brushing their standing at a teeth ." ]
coco_44356_79833
A very young child in his PJs is sticking something in his mouth.
datasets/COCO/train2014/COCO_train2014_000000012873.jpg
[ "very young child", "his PJs", "something" ]
[ { "positive": "very young child", "negative": "very young girl", "change_type": "attribute_change" }, { "positive": "very young child", "negative": "very young dog", "change_type": "object_change" }, { "positive": "his PJs", "negative": "his shirt", "change_type": "object...
[{"subject": "very young child", "relation_type": "is wearing", "object": "his PJs", "negatives": [{"subject": "very young child", "relation_type": "is not wearing", "object": "his PJs", "change_type": "negation"}, {"subject": "very young child", "relation_type": "is taking off", "object": "his PJs", "change_type": "an...
[ "A very PJs child in his young is sticking something in his mouth .", "is A young child in his PJs something . his in very mouth sticking", "young very A in his child PJs is sticking in something his mouth .", "mouth . PJs is sticking A very young something in his child in his" ]
coco_44356_81000
A young boy stands in front of the sink, brushing his teeth, with a tube of toothpaste in his hand.
datasets/COCO/train2014/COCO_train2014_000000012873.jpg
[ "young boy", "sink", "toothpaste tube" ]
[ { "positive": "young boy", "negative": "young girl", "change_type": "attribute_change" }, { "positive": "young boy", "negative": "old man", "change_type": "attribute_change" }, { "positive": "sink", "negative": "toilet", "change_type": "object_change" }, { "positi...
[{"subject": "young boy", "relation_type": "is standing in front of", "object": "sink", "negatives": [{"subject": "young boy", "relation_type": "is standing behind", "object": "sink", "change_type": "antonym"}, {"subject": "young boy", "relation_type": "is not standing in front of", "object": "sink", "change_type": "ne...
[ "A teeth tube stands in front of the boy , brushing his toothpaste , with a sink of young in his hand .", "his young boy of A front the stands sink with , his teeth in . in tube , toothpaste brushing a hand of", "young A boy in front stands of the sink , his brushing , with teeth tube a of his toothpaste in . h...
coco_44357_597667
A young adorable girl brushing her teeth in front of a doorway.
datasets/COCO/train2014/COCO_train2014_000000577399.jpg
[ "young adorable girl", "doorway" ]
[ { "positive": "young adorable girl", "negative": "young adorable boy", "change_type": "attribute_change" }, { "positive": "young adorable girl", "negative": "young adorable dog", "change_type": "object_change" }, { "positive": "doorway", "negative": "window", "change_type...
[{"subject": "young adorable girl", "relation_type": "is brushing teeth in front of", "object": "doorway", "negatives": [{"subject": "young adorable girl", "relation_type": "is not brushing teeth in front of", "object": "doorway", "change_type": "negation"}, {"subject": "young adorable girl", "relation_type": "is brush...
[ "A teeth young girl brushing her doorway in adorable of a front .", "a young adorable girl . her teeth in front A of doorway brushing", "A young adorable her brushing girl in front teeth a of doorway .", "teeth in front A young adorable of a doorway . girl brushing her" ]
coco_44357_598897
A girl is brushing g get teeth in the mirror at the hoysr
datasets/COCO/train2014/COCO_train2014_000000577399.jpg
[ "girl", "toothbrush", "teeth", "mirror", "hoysr" ]
[ { "positive": "girl", "negative": "boy", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "comb", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "toothpaste", "change_type": "object_change" }, { "positive": "teet...
[{"subject": "girl", "relation_type": "is brushing", "object": "teeth", "negatives": []}, {"subject": "girl", "relation_type": "is using", "object": "toothbrush", "negatives": []}, {"subject": "girl", "relation_type": "is looking at", "object": "mirror", "negatives": []}, {"subject": "girl", "relation_type": "is in", "...
[ "A teeth is brushing mirror get g in the hoysr at the girl", "brushing girl the at g A teeth get is mirror the in hoysr", "is A girl get g brushing in the teeth mirror the at hoysr", "mirror at the brushing g get A girl is teeth in the hoysr" ]
coco_44357_599401
Two girls brushing their teeth while another person is leaning over a counter.
datasets/COCO/train2014/COCO_train2014_000000577399.jpg
[ "two girls", "another person", "counter" ]
[ { "positive": "two girls", "negative": "two boys", "change_type": "attribute_change" }, { "positive": "two girls", "negative": "two women", "change_type": "attribute_change" }, { "positive": "another person", "negative": "another dog", "change_type": "object_change" }, ...
[{"subject": "two girls", "relation_type": "are brushing", "object": "their teeth", "negatives": []}, {"subject": "another person", "relation_type": "is leaning over", "object": "counter", "negatives": [{"subject": "another person", "relation_type": "is not leaning over", "object": "counter", "change_type": "negation"}...
[ "Two teeth brushing their girls while another counter is leaning over a person .", "another girls a their teeth Two while person brushing over leaning is counter .", "brushing Two girls teeth while their person another is a over leaning counter .", "counter . their teeth while another person is Two girls brus...
coco_44357_601762
Three children are in the bathroom brushing their teeth.
datasets/COCO/train2014/COCO_train2014_000000577399.jpg
[ "three children", "bathroom", "toothbrushes" ]
[ { "positive": "three children", "negative": "one child", "change_type": "attribute_change" }, { "positive": "three children", "negative": "three adults", "change_type": "object_change" }, { "positive": "bathroom", "negative": "kitchen", "change_type": "object_change" },...
[{"subject": "three children", "relation_type": "are in", "object": "bathroom", "negatives": [{"subject": "three children", "relation_type": "are outside", "object": "bathroom", "change_type": "antonym"}, {"subject": "three children", "relation_type": "are not in", "object": "bathroom", "change_type": "negation"}]}, {"...
[ "Three bathroom are in the children brushing their teeth .", "Three children the brushing in bathroom are . teeth their", "children are Three in the bathroom teeth brushing their .", ". Three children are brushing their teeth in the bathroom" ]
coco_44357_606736
Three girls brushing their teeth in a bathroom.
datasets/COCO/train2014/COCO_train2014_000000577399.jpg
[ "three girls", "bathroom" ]
[ { "positive": "three girls", "negative": "one girl", "change_type": "attribute_change" }, { "positive": "three girls", "negative": "three boys", "change_type": "attribute_change" }, { "positive": "three girls", "negative": "three men", "change_type": "attribute_change" ...
[{"subject": "three girls", "relation_type": "are in", "object": "bathroom", "negatives": [{"subject": "three girls", "relation_type": "are not in", "object": "bathroom", "change_type": "negation"}, {"subject": "three girls", "relation_type": "are outside", "object": "bathroom", "change_type": "antonym"}, {"subject": "...
[ "Three girls brushing their teeth in a bathroom .", ". girls brushing their teeth in Three bathroom a", "girls Three brushing teeth their in a . bathroom", "Three girls brushing their teeth in a bathroom ." ]
coco_44358_806766
A couple of young women standing next to each other.
datasets/COCO/train2014/COCO_train2014_000000076882.jpg
[ "a couple of young women" ]
[ { "positive": "a couple of young women", "negative": "a couple of young men", "change_type": "attribute_change" }, { "positive": "a couple of young women", "negative": "a group of young women", "change_type": "attribute_change" }, { "positive": "a couple of young women", "neg...
[]
[ "A other of women couple standing next to each young .", "next couple each young women A . of standing other to", "couple of A standing young women to each next other .", "next to each A couple of other . young women standing" ]
coco_44358_807732
Two people are placing toothpaste on a toothbrush.
datasets/COCO/train2014/COCO_train2014_000000076882.jpg
[ "two people", "toothpaste", "toothbrush" ]
[ { "positive": "two people", "negative": "one person", "change_type": "attribute_change" }, { "positive": "two people", "negative": "two dogs", "change_type": "object_change" }, { "positive": "toothpaste", "negative": "floss", "change_type": "object_change" }, { "p...
[{"subject": "two people", "relation_type": "are placing", "object": "toothpaste", "negatives": [{"subject": "two people", "relation_type": "are removing", "object": "toothpaste", "change_type": "antonym"}, {"subject": "two people", "relation_type": "are not placing", "object": "toothpaste", "change_type": "negation"}]...
[ "Two toothpaste are placing people on a toothbrush .", "on people are a toothpaste Two . toothbrush placing", "people are Two toothpaste on placing a toothbrush .", "placing toothpaste on Two people are a toothbrush ." ]
coco_44358_808656
One person putting toothpaste on another persons toothbrush.
datasets/COCO/train2014/COCO_train2014_000000076882.jpg
[ "person", "toothpaste", "another person's toothbrush" ]
[ { "positive": "toothpaste", "negative": "shampoo", "change_type": "object_change" }, { "positive": "another person's toothbrush", "negative": "my toothbrush", "change_type": "attribute_change" } ]
[{"subject": "person", "relation_type": "is putting", "object": "toothpaste on another person's toothbrush", "negatives": []}]
[ "One persons putting toothbrush on another toothpaste person .", "One person . toothpaste another on persons toothbrush putting", "person One putting toothpaste on another toothbrush . persons", "toothpaste on another One person putting persons toothbrush ." ]
coco_44358_809088
A man helps a woman to prepare a toothbrush outdoors.
datasets/COCO/train2014/COCO_train2014_000000076882.jpg
[ "man", "woman", "toothbrush", "outdoors" ]
[ { "positive": "toothbrush", "negative": "comb", "change_type": "object_change" }, { "positive": "toothbrush", "negative": "toothpaste", "change_type": "object_change" }, { "positive": "outdoors", "negative": "indoor", "change_type": "object_change" }, { "positive"...
[{"subject": "man", "relation_type": "is helping", "object": "woman", "negatives": [{"subject": "man", "relation_type": "is not helping", "object": "woman", "change_type": "negation"}]}, {"subject": "woman", "relation_type": "is preparing", "object": "toothbrush", "negatives": [{"subject": "woman", "relation_type": "is...
[ "A woman helps a toothbrush to prepare a man outdoors .", "helps man outdoors A woman a prepare . toothbrush a to", "A man helps woman a to a toothbrush prepare . outdoors", "prepare a toothbrush A man helps outdoors . a woman to" ]
coco_44358_809388
A man handing another man something in front of some trees.
datasets/COCO/train2014/COCO_train2014_000000076882.jpg
[ "man", "man", "something", "trees" ]
[ { "positive": "trees", "negative": "flowers", "change_type": "object_change" }, { "positive": "trees", "negative": "buildings", "change_type": "object_change" } ]
[{"subject": "man", "relation_type": "is handing", "object": "something", "negatives": [{"subject": "man", "relation_type": "is dropping", "object": "something", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not handing", "object": "something", "change_type": "negation"}]}, {"subject": "man", "rela...
[ "A front handing another trees something in man of some man .", ". man something another man of some front A handing trees in", "A man handing man something another of in front . trees some", "A man handing another man something in front of some trees ." ]
coco_44359_669287
A man in glasses and a woman are playing Wii.
datasets/COCO/train2014/COCO_train2014_000000301109.jpg
[ "man in glasses", "woman", "Wii" ]
[ { "positive": "man in glasses", "negative": "man without glasses", "change_type": "attribute_change" }, { "positive": "Wii", "negative": "Xbox", "change_type": "object_change" }, { "positive": "Wii", "negative": "PlayStation", "change_type": "object_change" } ]
[{"subject": "man in glasses", "relation_type": "is playing with", "object": "woman", "negatives": [{"subject": "man in glasses", "relation_type": "is not playing with", "object": "woman", "change_type": "negation"}, {"subject": "man in glasses", "relation_type": "is playing against", "object": "woman", "change_type": ...
[ "A glasses in Wii and a woman are playing man .", "playing man are glasses in a woman A and Wii .", "A man in and glasses a playing woman are . Wii", "glasses and a woman are playing Wii . A man in" ]
coco_44359_670142
A group of young people standing around a living room.
datasets/COCO/train2014/COCO_train2014_000000301109.jpg
[ "group of young people", "living room" ]
[ { "positive": "group of young people", "negative": "group of elderly people", "change_type": "attribute_change" }, { "positive": "group of young people", "negative": "group of children", "change_type": "attribute_change" }, { "positive": "group of young people", "negative": "...
[{"subject": "group of young people", "relation_type": "is standing around", "object": "living room", "negatives": [{"subject": "group of young people", "relation_type": "is not standing around", "object": "living room", "change_type": "negation"}, {"subject": "group of young people", "relation_type": "is inside", "obj...
[ "A people of group young standing around a room living .", "around group a young people standing . A living room of", "of group A standing people young around living a room .", "A group of young people standing room . around a living" ]
coco_44359_672977
a few people that have a wii remote in hand
datasets/COCO/train2014/COCO_train2014_000000301109.jpg
[ "a few people", "wii remote" ]
[ { "positive": "wii remote", "negative": "playstation controller", "change_type": "object_change" } ]
[{"subject": "a few people", "relation_type": "have", "object": "wii remote", "negatives": [{"subject": "a few people", "relation_type": "do not have", "object": "wii remote", "change_type": "negation"}, {"subject": "a few people", "relation_type": "are without", "object": "wii remote", "change_type": "antonym"}]}]
[ "a hand people that have a few remote in wii", "remote few people a a have wii that in hand", "few a people a that have in wii remote hand", "hand wii remote in that have a a few people" ]
coco_44359_673760
two people standing in a room holding remotes
datasets/COCO/train2014/COCO_train2014_000000301109.jpg
[ "two people", "room", "remotes" ]
[ { "positive": "two people", "negative": "three people", "change_type": "attribute_change" }, { "positive": "two people", "negative": "two dogs", "change_type": "object_change" } ]
[{"subject": "two people", "relation_type": "are standing in", "object": "room", "negatives": [{"subject": "two people", "relation_type": "are sitting in", "object": "room", "change_type": "antonym"}, {"subject": "two people", "relation_type": "are not standing in", "object": "room", "change_type": "negation"}, {"subje...
[ "two room standing in a people holding remotes", "a people two in holding room standing remotes", "standing two people in a room remotes holding", "in a room two people standing holding remotes" ]
coco_44359_674777
A group of people with remotes standing in a room.
datasets/COCO/train2014/COCO_train2014_000000301109.jpg
[ "group of people", "remotes", "room" ]
[ { "positive": "remotes", "negative": "phones", "change_type": "object_change" }, { "positive": "room", "negative": "garden", "change_type": "object_change" } ]
[{"subject": "group of people", "relation_type": "is with", "object": "remotes", "negatives": [{"subject": "group of people", "relation_type": "is without", "object": "remotes", "change_type": "antonym"}, {"subject": "group of people", "relation_type": "is not with", "object": "remotes", "change_type": "negation"}]}, {...
[ "A remotes of people with group standing in a room .", "with group a people of remotes . in standing room A", "group of A remotes with people a in standing room .", "people with remotes standing in a A group of room ." ]
coco_44360_153494
A living room with furniture and a flat screen TV.
datasets/COCO/train2014/COCO_train2014_000000495867.jpg
[ "living room", "furniture", "flat screen TV" ]
[ { "positive": "living room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "living room", "negative": "bedroom", "change_type": "object_change" }, { "positive": "furniture", "negative": "kitchen with appliances and a microwave", "change_type": "ob...
[{"subject": "living room", "relation_type": "contains", "object": "furniture", "negatives": [{"subject": "living room", "relation_type": "is empty of", "object": "furniture", "change_type": "antonym"}, {"subject": "living room", "relation_type": "is not containing", "object": "furniture", "change_type": "negation"}]},...
[ "A furniture room with flat and a screen living TV .", ". living room and furniture a A flat screen TV with", "A living room and furniture with screen a flat TV .", "with furniture and TV . a flat screen A living room" ]
coco_44360_186344
Two couches and a flat screen TV in a small room.
datasets/COCO/train2014/COCO_train2014_000000495867.jpg
[ "two couches", "flat screen TV", "small room" ]
[ { "positive": "two couches", "negative": "one couch", "change_type": "attribute_change" }, { "positive": "two couches", "negative": "two chairs", "change_type": "object_change" }, { "positive": "flat screen TV", "negative": "curved screen TV", "change_type": "attribute_ch...
[{"subject": "two couches", "relation_type": "are in", "object": "small room", "negatives": [{"subject": "two couches", "relation_type": "are not in", "object": "small room", "change_type": "negation"}, {"subject": "small room", "relation_type": "are in", "object": "two couches", "change_type": "subject_object_swap"}]}...
[ "Two TV and a small room couches in a screen flat .", "and couches in a flat screen TV . Two small room a", "couches and Two screen flat a TV a in room . small", "small room . TV in a a flat screen Two couches and" ]
coco_44360_194843
A room has two couches and a television on with no one watching.
datasets/COCO/train2014/COCO_train2014_000000495867.jpg
[ "room", "two couches", "television" ]
[ { "positive": "room", "negative": "kitchen", "change_type": "object_change" }, { "positive": "two couches", "negative": "one couch", "change_type": "attribute_change" }, { "positive": "two couches", "negative": "two chairs", "change_type": "object_change" }, { "po...
[{"subject": "room", "relation_type": "has", "object": "two couches", "negatives": [{"subject": "room", "relation_type": "does not have", "object": "two couches", "change_type": "negation"}, {"subject": "two couches", "relation_type": "has", "object": "room", "change_type": "subject_object_swap"}]}, {"subject": "room",...
[ "A television has two one and a room on with no watching couches .", ". room two with couches a on television A no has one watching and", "room A has and couches two on a television with one no . watching", "with no one two couches and watching . A room has a television on" ]