Datasets:
AsphyXIA
/
sugarcrepepp

Dataset card Data Studio Files
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Community
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[ "A person feeding a little child french fries at a restaurant. " ]
[ "A little child is being fed French fries by a person at a restaurant." ]
[ "A little child feeding french fries to a person at a restaurant." ]
data_swap_obj
[ [ "child", "is", "little" ], [ "french fries", "at", "restaurant" ], [ "person", "at", "restaurant" ], [ "person", "feed", "child" ] ]
[ [ "child", "is", "little" ], [ "person", "at", "restaurant" ], [ "person", "feed", "french fries" ] ]
[ [ "child", "at", "restaurant" ], [ "child", "feed", "french fries" ], [ "child", "is", "little" ] ]
[ "A camera sits on a tripod connected to a laptop." ]
[ "The laptop is connected to a tripod with a camera positioned on top of it." ]
[ "A laptop sits on a tripod connected to a camera." ]
data_swap_obj
[ [ "camera", "sit on", "tripod" ], [ "tripod", "connect to", "laptop" ] ]
[ [ "camera", "on top of", "tripod" ], [ "laptop", "connect to", "tripod" ] ]
[ [ "laptop", "sit on", "tripod" ], [ "tripod", "connect to", "camera" ] ]
[ "A pole with multiple street signs in front of a tall building." ]
[ "A tall building is behind a pole containing multiple street signs." ]
[ "A tall building with multiple street signs in front of a pole." ]
data_swap_obj
[ [ "building", "is", "tall" ], [ "pole", "in front of", "building" ], [ "pole", "with", "street signs" ] ]
[ [ "building", "behind", "pole" ], [ "building", "is", "tall" ], [ "pole", "contain", "street signs" ] ]
[ [ "building", "is", "tall" ], [ "building", "with", "street signs" ], [ "street signs", "in front of", "pole" ] ]
[ "A faded stop sign with two street signs above, in a rural area." ]
[ "A stop sign that is faded with two street signs above, is positioned in a rural area." ]
[ "Two faded street signs with a stop sign above, in a rural area." ]
data_swap_obj
[ [ "stop sign", "in", "rural area" ], [ "stop sign", "is", "faded" ], [ "stop sign", "with", "street signs" ] ]
[ [ "area", "is", "rural" ], [ "stop sign", "above", "street signs" ], [ "stop sign", "is", "faded" ], [ "street signs", "is", "2" ] ]
[ [ "area", "is", "rural" ], [ "stop sign", "above", "street signs" ], [ "street signs", "in", "area" ], [ "street signs", "is", "2" ], [ "street signs", "is", "faded" ] ]
[ "There are two electronic devices on top of the laptop." ]
[ "There is a laptop that is positioned below two electronic devices." ]
[ "There is a laptop on top of two electronic devices." ]
data_swap_obj
[ [ "devices", "is", "2" ], [ "devices", "is", "electronic" ], [ "devices", "on top of", "laptop" ] ]
[ [ "electronic devices", "is", "2" ], [ "laptop", "under", "electronic devices" ] ]
[ [ "electronic devices", "is", "2" ], [ "laptop", "on top of", "electronic devices" ] ]
[ "A vase with purple iris's sitting next to a ceramic pitcher." ]
[ "A ceramic pitcher is positioned adjacent to a vase with purple iris's." ]
[ "A ceramic pitcher with purple iris's sitting next to a vase." ]
data_swap_obj
[ [ "iris", "is", "purple" ], [ "pitcher", "is", "ceramic" ], [ "vase", "sit next to", "pitcher" ], [ "vase", "with", "iris" ] ]
[ [ "iris", "is", "purple" ], [ "pitcher", "have", "iris" ], [ "pitcher", "is", "ceramic" ], [ "pitcher", "next to", "vase" ] ]
[ [ "iris", "is", "purple" ], [ "pitcher", "have", "iris" ], [ "pitcher", "is", "ceramic" ], [ "pitcher", "sit next to", "vase" ] ]
[ "A person is holding a baby with another young child beside the person." ]
[ "A young child is standing beside a person who is holding a baby." ]
[ "A young child is holding a baby with another person beside the child." ]
data_swap_obj
[ [ "child", "beside", "person" ], [ "child", "is", "young" ], [ "person", "hold", "baby" ], [ "person", "hold", "child" ] ]
[ [ "child", "is", "young" ], [ "child", "stand beside", "person" ], [ "person", "hold", "baby" ] ]
[ [ "child", "hold", "baby" ], [ "child", "is", "young" ], [ "person", "beside", "child" ] ]
[ "Two brown horses pull a plow, steered by a person behind." ]
[ "The person steers two brown horses from behind that pull a plow." ]
[ "A person pulls a plow, steered by two brown horses in front." ]
data_swap_obj
[ [ "horses", "is", "2" ], [ "horses", "is", "brown" ], [ "horses", "pull", "plow" ], [ "person", "behind", "horses" ] ]
[ [ "horses", "is", "2" ], [ "horses", "is", "brown" ], [ "person", "pull", "plow" ], [ "person", "steer", "horses" ] ]
[ [ "horses", "in front of", "person" ], [ "horses", "is", "2" ], [ "horses", "is", "brown" ], [ "person", "pull", "plow" ] ]
[ "A person guiding a pony with a child riding on it." ]
[ "A child is riding on a pony, which is being guided by a person." ]
[ "A child guiding a pony with a person riding on it." ]
data_swap_obj
[ [ "child", "ride on", "pony" ], [ "person", "guide", "pony" ] ]
[ [ "child", "ride on", "pony" ], [ "person", "guide", "child" ] ]
[ [ "child", "guide", "pony" ], [ "person", "ride on", "pony" ] ]
[ "A car on a road passes a standing elephant." ]
[ "A standing elephant is positioned on the road, and a car on the road passes it." ]
[ "An elephant on a road passes a standing car." ]
data_swap_obj
[ [ "car", "on", "road" ], [ "car", "pass", "elephant" ], [ "elephant", "is", "standing" ] ]
[ [ "car", "on", "road" ], [ "car", "pass", "elephant" ], [ "elephant", "is", "standing" ], [ "elephant", "on", "road" ] ]
[ [ "car", "is", "standing" ], [ "elephant", "on", "road" ], [ "elephant", "pass", "car" ] ]
[ "A woman pinning a flower onto a man's blazer." ]
[ "A woman is attaching a flower to a man's blazer." ]
[ "A man pinning a flower onto a woman's blazer." ]
data_swap_obj
[ [ "flower", "on", "blazer" ], [ "man", "have", "blazer" ], [ "woman", "pin", "flower" ] ]
[ [ "flower", "attach to", "blazer" ], [ "man", "have", "blazer" ], [ "woman", "attach", "flower" ] ]
[ [ "flower", "on", "blazer" ], [ "man", "pin", "flower" ], [ "woman", "have", "blazer" ] ]
[ "A black and white cow stands in a paddock with firewood in the background." ]
[ "with firewood in the background, a white and black cow is positioned in a paddock." ]
[ "Firewood stands in a paddock with a black and white cow in the background." ]
data_swap_obj
[ [ "cow", "is", "black" ], [ "cow", "is", "white" ], [ "cow", "stand in", "paddock" ], [ "firewood", "in", "background" ] ]
[ [ "cow", "in", "paddock" ], [ "cow", "is", "black" ], [ "cow", "is", "white" ], [ "firewood", "in", "background" ] ]
[ [ "cow", "in", "background" ], [ "cow", "is", "black" ], [ "cow", "is", "white" ], [ "firewood", "stand in", "paddock" ] ]
[ "Small red plane flying next to motorcycle rider in urban area." ]
[ "A small plane that is red in color is flying next to the motorcycle rider in an urban area." ]
[ "Motorcycle rider flying next to small red plane in urban area." ]
data_swap_obj
[ [ "area", "is", "urban" ], [ "plane", "fly next to", "motorcycle rider" ], [ "plane", "is", "red" ], [ "plane", "is", "small" ] ]
[ [ "area", "is", "urban" ], [ "plane", "fly next to", "motorcycle rider" ], [ "plane", "is", "red" ], [ "plane", "is", "small" ] ]
[ [ "area", "is", "urban" ], [ "plane", "is", "red" ], [ "plane", "is", "small" ], [ "rider", "fly next to", "plane" ], [ "rider", "on", "motorcycle" ] ]
[ "Bread in a paper bag on top of french fries in paper container with a drink on the side." ]
[ "A paper bag containing bread is positioned on top of the paper container containing french fries, and a drink is located on the side." ]
[ "French fries in a paper bag on top of bread in paper container with a drink on the side." ]
data_swap_obj
[ [ "bag", "is", "paper" ], [ "bag", "on top of", "french fries" ], [ "bread", "in", "bag" ], [ "container", "is", "paper" ], [ "drink", "on side of", "container" ] ]
[ [ "bag", "contain", "bread" ], [ "bag", "is", "paper" ], [ "bag", "on top of", "container" ], [ "container", "contain", "french fries" ], [ "container", "is", "paper" ] ]
[ [ "bread", "in", "paper container" ], [ "french fries", "in", "paper bag" ], [ "paper bag", "on top of", "bread" ], [ "paper container", "with", "drink" ] ]
[ "A man is at bat ready is playing baseball while a woman watches." ]
[ "A man is positioned at bat, ready to play baseball while a woman observes." ]
[ "A woman is at bat ready is playing baseball while a man watches." ]
data_swap_obj
[ [ "man", "is", "ready" ], [ "man", "play", "baseball" ], [ "woman", "watch", "man" ] ]
[ [ "man", "at", "bat" ], [ "man", "is", "ready" ], [ "man", "play", "baseball" ], [ "woman", "watch", "baseball" ] ]
[ [ "man", "watch", "woman" ], [ "woman", "is", "ready" ], [ "woman", "play", "baseball" ] ]
[ "A person carrying a surfboard on the beach at sunset." ]
[ "At sunset, a person is on the beach carrying a surfboard." ]
[ "A surfboard carrying a person on the beach at sunset." ]
data_swap_obj
[ [ "person", "at", "sunset" ], [ "person", "carry", "surfboard" ], [ "person", "on", "beach" ] ]
[ [ "person", "carry", "surfboard" ], [ "person", "on", "beach" ] ]
[ [ "person", "at", "sunset" ], [ "person", "on", "beach" ], [ "surfboard", "carry", "person" ] ]
[ "A map of the Boston subway printed on a statue of a cow." ]
[ "A statue of a cow with a printed map of the Boston subway on it." ]
[ "A statue of a cow printed on a map of the Boston subway." ]
data_swap_obj
[ [ "map", "print on", "cow" ], [ "map", "print on", "map" ] ]
[ [ "cow", "have", "map" ], [ "cow", "is", "statue" ], [ "map", "is", "printed" ], [ "subway", "on", "map" ] ]
[ [ "cow", "is", "statue" ], [ "cow", "print on", "map" ], [ "subway", "is", "Boston" ] ]
[ "A boy getting ready to blow out birthday candles with a girl watching." ]
[ "A girl is watching a boy getting ready to blow out birthday candles." ]
[ "A girl getting ready to blow out birthday candles with a boy watching." ]
data_swap_obj
[ [ "boy", "blow out", "candles" ], [ "boy", "is", "ready" ], [ "candles", "is", "birthday" ], [ "girl", "is", "watching" ] ]
[ [ "boy", "blow out", "candles" ], [ "boy", "is", "ready" ], [ "girl", "watch", "boy" ] ]
[ [ "boy", "is", "watching" ], [ "candles", "is", "birthday" ], [ "girl", "blow out", "candles" ], [ "girl", "is", "ready" ] ]
[ "Three remotes sitting on top of a mattress." ]
[ "The three remotes are positioned on top of the mattress." ]
[ "A mattress sitting on top of three remotes." ]
data_swap_obj
[ [ "remotes", "is", "3" ], [ "remotes", "sit on top of", "mattress" ] ]
[ [ "remotes", "is", "3" ], [ "remotes", "on top of", "mattress" ] ]
[ [ "mattress", "sit on top of", "remotes" ], [ "remotes", "is", "3" ] ]
[ "A dog rests on a bed in a bedroom where one person is also sitting." ]
[ "A person is sitting where a dog also rests on a bed in a bedroom." ]
[ "One person rests on a bed in a bedroom where a dog is also sitting." ]
data_swap_obj
[ [ "dog", "rest on", "bed" ], [ "person", "sit in", "bedroom" ] ]
[ [ "dog", "rest on", "bed" ], [ "person", "sit in", "bedroom" ] ]
[ [ "dog", "sit on", "bed" ], [ "person", "in", "bedroom" ], [ "person", "rest on", "bed" ] ]
[ "A person holding a baby taking a picture." ]
[ "A person is taking a photograph while holding a baby ." ]
[ "A baby holding a person taking a picture." ]
data_swap_obj
[ [ "baby", "is", "taking photo" ], [ "person", "hold", "baby" ], [ "person", "is", "taking photo" ] ]
[ [ "person", "hold", "baby" ], [ "person", "is", "taking photo" ] ]
[ [ "baby", "hold", "person" ], [ "person", "is", "taking photo" ] ]
[ "A person is holding a baby who is wrapped in a towel and holding a toothbrush" ]
[ "The baby, who is wrapped in a towel and holding a toothbrush, is being held by a person." ]
[ "A person is holding a toothbrush while the baby wrapped in a towel looks on." ]
data_swap_obj
[ [ "baby", "wrap in", "towel" ], [ "person", "hold", "baby" ] ]
[ [ "baby", "hold", "toothbrush" ], [ "baby", "wrap in", "towel" ], [ "person", "hold", "baby" ], [ "person", "hold", "toothbrush" ] ]
[ [ "baby", "wrap in", "towel" ], [ "person", "hold", "toothbrush" ], [ "person", "look on", "baby" ] ]
[ "Two persons play the Nintendo Wii console while others watch" ]
[ "The Nintendo Wii console is being played by two persons while other people watch." ]
[ "Others play the Nintendo Wii console while two persons watch." ]
data_swap_obj
[ [ "console", "is", "Nintendo" ], [ "console", "is", "wii" ], [ "persons", "is", "2" ], [ "persons", "play", "console" ], [ "persons", "watch", "console" ] ]
[ [ "console", "is", "2" ], [ "console", "is", "Nintendo" ], [ "console", "is", "wii" ], [ "people", "watch", "console" ], [ "persons", "is", "2" ] ]
[ [ "Others", "play", "console" ], [ "console", "is", "Nintendo" ], [ "console", "is", "wii" ], [ "persons", "is", "2" ] ]
[ "This person is riding a skateboard behind a dog." ]
[ "The person is behind a dog, skateboarding." ]
[ "This dog is riding behind a person on a skateboard." ]
data_swap_obj
[ [ "person", "behind", "dog" ], [ "person", "ride", "skateboard" ] ]
[ [ "person", "behind", "dog" ], [ "person", "is", "skateboarding" ] ]
[ [ "dog", "ride behind", "person" ], [ "person", "on", "skateboard" ] ]
[ "a bunch of sheep are standing behind a fence" ]
[ "behind a fence, a group of sheep is standing." ]
[ "A fence is standing behind a bunch of sheep." ]
data_swap_obj
[ [ "sheep", "stand behind", "fence" ] ]
[ [ "sheep", "is", "group of" ], [ "sheep", "stand behind", "fence" ] ]
[ [ "fence", "stand behind", "sheep" ] ]
[ "A person preparing food on a large old oven." ]
[ "A person is preparing food on a large old oven." ]
[ "A large old oven preparing food with a person standing next to it." ]
data_swap_obj
[ [ "oven", "is", "large" ], [ "oven", "is", "old" ], [ "person", "on", "oven" ], [ "person", "prepare", "food" ] ]
[ [ "oven", "is", "large" ], [ "oven", "is", "old" ], [ "person", "prepare", "food" ] ]
[ [ "oven", "is", "large" ], [ "oven", "is", "old" ], [ "oven", "prepare", "food" ], [ "person", "stand next to", "oven" ] ]
[ "A city scape scene ." ]
[ "a train yard is visible in the foreground of a cityscape scene." ]
[ "A train yard scene with a city scape in the foreground." ]
data_swap_obj
[ [ "train yard", "in foreground of", "cityscape" ] ]
[ [ "cityscape", "have", "foreground" ], [ "train yard", "in", "foreground" ] ]
[ [ "cityscape", "in", "foreground" ], [ "train yard", "have", "cityscape" ] ]
[ "a close up of a dog with a car in the back" ]
[ "A car in the background of a close-up photo of a dog." ]
[ "A close up of a car with a dog in the back." ]
data_swap_obj
[ [ "car", "in back of", "dog" ] ]
[ [ "car", "in", "background" ], [ "dog", "in", "photo" ], [ "photo", "is", "close-up" ] ]
[ [ "dog", "in back of", "car" ] ]
[ "A white stove top oven with two tea pots on top of it." ]
[ "two tea pots are positioned on top of a stove top oven that is white in color." ]
[ "Two tea pots with a white stove top oven on top of them." ]
data_swap_obj
[ [ "oven", "is", "white" ], [ "tea pots", "is", "2" ], [ "tea pots", "on top of", "oven" ] ]
[ [ "oven", "is", "white" ], [ "tea pots", "is", "2" ], [ "tea pots", "on top of", "oven" ] ]
[ [ "oven", "is", "stove top" ], [ "oven", "is", "white" ], [ "oven", "on top of", "tea pots" ], [ "tea pots", "is", "2" ] ]
[ "A group of walkers are seen while passengers ride in a train." ]
[ "Passengers are riding in a train while a group of walkers is visible." ]
[ "A group of passengers are seen while walkers walk alongside the train." ]
data_swap_obj
[ [ "passengers", "ride in", "train" ], [ "walkers", "is", "group of" ] ]
[ [ "passengers", "ride in", "train" ], [ "walkers", "is", "group of" ] ]
[ [ "passengers", "is", "group of" ], [ "passengers", "walk alongside", "train" ] ]
[ "A porch with several wind catchers hung from hooks. " ]
[ "several wind catchers hanging from hooks on a porch." ]
[ "A porch with many hooks hung from several wind catchers." ]
data_swap_obj
[ [ "porch", "with", "wind catchers" ], [ "wind catchers", "hang from", "hooks" ] ]
[ [ "wind catchers", "hang from", "hooks" ], [ "wind catchers", "on", "porch" ] ]
[ [ "hooks", "hang from", "wind catchers" ], [ "porch", "with", "hooks" ] ]
[ "a couple is sitting on a statue of a horse and some plants" ]
[ "some plants are close to a couple that is sitting on a statue of a horse." ]
[ "Some plants are sitting on a statue of a horse and a couple." ]
data_swap_obj
[ [ "couple", "sit on", "plants" ], [ "couple", "sit on", "statue" ], [ "horse", "is", "statue" ] ]
[ [ "couple", "sit on", "horse" ], [ "plants", "close to", "couple" ] ]
[ [ "couple", "sit on", "horses" ], [ "horses", "is", "statue" ], [ "plants", "sit on", "horses" ] ]
[ "A sign with the word pub sits on a wall and underneath it on a table is a blender and three bottles of variety of alcohol and some flavoring." ]
[ "A pub sign is mounted on a wall, and below it on a table are three bottles of different types of alcohol, a blender and some flavorings." ]
[ "A sign with the word pub sits on a table and underneath it on a wall is a blender and three bottles of variety of alcohol and some flavoring." ]
data_swap_obj
[ [ "bottles", "is", "3" ], [ "bottles", "is", "alcohol" ], [ "sign", "on", "table" ], [ "sign", "sit on", "wall" ], [ "sign", "with", "words" ], [ "words", "on", "sign" ] ]
[ [ "bottles", "is", "3" ], [ "bottles", "is", "alcohol" ], [ "bottles", "on", "table" ], [ "sign", "is", "pub" ], [ "sign", "mount on", "wall" ] ]
[ [ "bottles", "is", "3" ], [ "bottles", "is", "alcohol" ], [ "sign", "on", "wall" ], [ "sign", "sit on", "table" ], [ "sign", "with", "flavoring" ], [ "sign", "with", "words" ], [ "words", "on", "sign" ] ]
[ "two people are playing a video game and another person is watching" ]
[ "A person is observing two other individuals that are engaged in a video game." ]
[ "A person is playing a video game and two people are watching." ]
data_swap_obj
[ [ "people", "is", "2" ], [ "people", "is", "watching" ], [ "people", "play", "video game" ] ]
[ [ "individuals", "is", "2" ], [ "individuals", "play", "video game" ], [ "person", "watch", "individuals" ] ]
[ [ "people", "is", "2" ], [ "people", "watch", "video game" ], [ "person", "play", "video game" ] ]
[ "A man standing next to a beautiful woman in a short blue skirt facing the crowd." ]
[ "A woman in a short blue skirt is standing next to a man facing the crowd." ]
[ "A beautiful woman standing far from a man in a short blue skirt facing the crowd." ]
data_swap_obj
[ [ "man", "face", "crowd" ], [ "man", "stand next to", "woman" ], [ "skirt", "is", "blue" ], [ "skirt", "is", "short" ], [ "woman", "in", "skirt" ], [ "woman", "is", "beautiful" ] ]
[ [ "man", "face", "crowd" ], [ "skirt", "is", "blue" ], [ "skirt", "is", "short" ], [ "woman", "stand next to", "man" ], [ "woman", "wear", "skirt" ] ]
[ [ "man", "face", "crowd" ], [ "man", "wear", "skirt" ], [ "skirt", "is", "blue" ], [ "skirt", "is", "short" ], [ "woman", "is", "beautiful" ], [ "woman", "stand far from", "man" ] ]
[ "A camera with a computer is set up on a tripod" ]
[ "A tripod is positioned beneath a camera with a computer." ]
[ "A computer with a camera is set up on a tripod." ]
data_swap_obj
[ [ "camera", "set on", "tripod" ], [ "camera", "with", "computer" ] ]
[ [ "camera", "with", "computer" ], [ "tripod", "under", "camera" ] ]
[ [ "computer", "set on", "tripod" ], [ "computer", "with", "camera" ] ]
[ "Girl looks back as she fixes flower on boy's suit" ]
[ "The girl glances back while adjusting the flower on the boy's suit." ]
[ "Boy looks back as he fixes flower on girl's suit." ]
data_swap_obj
[ [ "boy", "have", "suit" ], [ "flower", "on", "suit" ], [ "girl", "fix", "flower" ] ]
[ [ "boy", "have", "suit" ], [ "flower", "on", "suit" ], [ "girl", "adjust", "flower" ] ]
[ [ "boy", "fix", "flower" ], [ "flower", "on", "suit" ], [ "girl", "have", "suit" ] ]
[ "A train car is open and shows the door on the other side." ]
[ "The door on the other side of the train car is visible through the open door." ]
[ "The door is open and shows a train car on the other side." ]
data_swap_obj
[ [ "door", "on side of", "train car" ], [ "train car", "is", "open" ] ]
[ [ "door", "is", "open" ], [ "door", "on side of", "train car" ] ]
[ [ "door", "is", "open" ], [ "train car", "on side of", "door" ] ]
[ "Two stuffed animals are sitting on a broken wooden chair." ]
[ "The wooden chair that is broken has two stuffed animals sitting on it." ]
[ "A broken wooden chair is sitting on two stuffed animals." ]
data_swap_obj
[ [ "animals", "is", "2" ], [ "animals", "is", "stuffed" ], [ "animals", "sit on", "chair" ], [ "chair", "is", "broken" ], [ "chair", "is", "wooden" ] ]
[ [ "animals", "is", "2" ], [ "animals", "is", "stuffed" ], [ "animals", "sit on", "chair" ], [ "chair", "is", "broken" ], [ "chair", "is", "wooden" ] ]
[ [ "animals", "is", "2" ], [ "animals", "is", "stuffed" ], [ "chairs", "is", "broken" ], [ "chairs", "is", "wooden" ], [ "chairs", "sit on", "animals" ] ]
[ "Vegetable pieces and knife are kept on cutting board. Cabbage is on the table." ]
[ "Knife and vegetable pieces are positioned on the cutting board, while cabbage is located on the table." ]
[ "Vegetable pieces and knife are kept on table. Cabbage is on the cutting board." ]
data_swap_obj
[ [ "cabbage", "on", "table" ], [ "knife", "is", "piece" ], [ "knife", "on", "cutting board" ], [ "vegetables", "is", "pieces" ], [ "vegetables", "on", "cutting board" ] ]
[ [ "cabbage", "on", "cutting board" ], [ "knife", "on", "cutting board" ], [ "vegetable", "on", "cutting board" ] ]
[ [ "cabbage", "on", "cutting board" ], [ "knife", "on", "table" ], [ "vegetables", "is", "pieces" ], [ "vegetables", "on", "table" ] ]
[ "A child holds a spoon and looks at a cupcake." ]
[ "The child looks at a cupcake while holding a spoon." ]
[ "A child looks at a spoon and holds a cupcake." ]
data_swap_obj
[ [ "child", "hold", "spoon" ], [ "child", "look at", "cupcake" ] ]
[ [ "child", "hold", "spoon" ], [ "child", "look at", "cupcake" ] ]
[ [ "child", "hold", "cupcake" ], [ "child", "look at", "spoon" ] ]
[ "A woman walking next to a man riding a pink bike." ]
[ "A man is riding a pink bike while a woman is walking next to him." ]
[ "A man walking next to a woman riding a pink bike." ]
data_swap_obj
[ [ "bike", "is", "pink" ], [ "man", "ride", "bike" ], [ "woman", "walk next to", "man" ] ]
[ [ "bike", "is", "pink" ], [ "man", "ride", "bike" ], [ "woman", "walk next to", "man" ] ]
[ [ "bike", "is", "pink" ], [ "man", "walk next to", "woman" ], [ "woman", "ride", "bike" ] ]
[ "A snowboarder is flying in the air over snow." ]
[ "A person on skis above snow is flying in the air." ]
[ "Snow is flying in the air over a snowboarder." ]
data_swap_obj
[ [ "snowboarder", "fly in", "air" ], [ "snowboarder", "fly over", "snow" ] ]
[ [ "person", "fly above", "snow" ], [ "person", "on", "skis" ] ]
[ [ "snow", "fly in", "air" ], [ "snow", "fly over", "snowboarder" ] ]
[ "A truck is shown with another car in the back of it." ]
[ "TAnother car is positioned behind the truck in the image." ]
[ "Another car is shown with a truck in the back of it." ]
data_swap_obj
[ [ "car", "in back of", "truck" ] ]
[ [ "car", "behind", "truck" ], [ "car", "is", "positioned" ] ]
[ [ "truck", "in back of", "car" ] ]
[ "A young person swinging a baseball bat in front of a catcher." ]
[ "A young person is in front of a catcher swinging a baseball bat." ]
[ "A catcher swinging a baseball bat in front of a young person." ]
data_swap_obj
[ [ "person", "in front of", "catcher" ], [ "person", "is", "young" ], [ "person", "swing", "baseball bat" ] ]
[ [ "person", "in front of", "catcher" ], [ "person", "is", "young" ], [ "person", "swing", "baseball bat" ] ]
[ [ "catcher", "in front of", "person" ], [ "catcher", "swing", "baseball bat" ], [ "person", "is", "young" ] ]
[ "A sidewalk next to the outdoor sitting area of a restaurant." ]
[ "the restaurant's outdoor seating area is adjacent to the sidewalk." ]
[ "An outdoor sitting area next to the sidewalk of a restaurant." ]
data_swap_obj
[ [ "restaurant", "have", "sitting area" ], [ "sidewalk", "next to", "sitting area" ], [ "sitting area", "is", "outdoor" ] ]
[ [ "restaurant", "have", "seating area" ], [ "seating area", "adjacent to", "sidewalk" ], [ "seating area", "is", "outdoor" ] ]
[ [ "restaurant", "have", "sidewalk" ], [ "sitting area", "is", "outdoor" ], [ "sitting area", "next to", "sidewalk" ] ]
[ "A girl in a floral dress sitting next to a boy in a blue shirt eating food. " ]
[ "A girl in a floral dress sits beside a boy in a blue shirt as they eat." ]
[ "A boy in a floral dress sitting next to a girl in a blue shirt eating food." ]
data_swap_obj
[ [ "boy", "eat", "food" ], [ "boy", "wear", "shirt" ], [ "dress", "is", "floral" ], [ "girl", "sit next to", "boy" ], [ "girl", "wear", "dress" ], [ "shirt", "is", "blue" ] ]
[ [ "boy", "wear", "shirt" ], [ "girl", "sit beside", "boy" ], [ "girl", "sit beside", "girl" ], [ "girl", "wear", "dress" ], [ "shirt", "is", "blue" ] ]
[ [ "boy", "sit next to", "girl" ], [ "boy", "wear", "dress" ], [ "dress", "is", "floral" ], [ "girl", "eat", "food" ], [ "girl", "wear", "shirt" ], [ "shirt", "is", "blue" ] ]
[ "Two persons biting a surfboard with a shark on it." ]
[ "A couple of persons are biting a surfboard that has a shark on it." ]
[ "A shark biting a surfboard with two persons on it." ]
data_swap_obj
[ [ "persons", "bite", "surfboard" ], [ "persons", "is", "2" ], [ "shark", "on", "surfboard" ] ]
[ [ "persons", "bite", "surfboard" ], [ "persons", "is", "2" ], [ "shark", "on", "surfboard" ] ]
[ [ "persons", "is", "2" ], [ "persons", "on", "surfboard" ], [ "shark", "bite", "surfboard" ] ]
[ "A group of giraffes standing in dirt field with trees in background." ]
[ "with trees in the background, a group of giraffes are standing in a dirt field." ]
[ "A group of trees standing in dirt field with giraffes in background." ]
data_swap_obj
[ [ "field", "is", "dirt" ], [ "giraffes", "is", "group of" ], [ "giraffes", "stand in", "field" ], [ "trees", "in", "background" ] ]
[ [ "field", "is", "dirt" ], [ "giraffes", "is", "group of" ], [ "giraffes", "stand in", "field" ], [ "trees", "in", "background" ] ]
[ [ "field", "is", "dirt" ], [ "giraffes", "in", "background" ], [ "trees", "is", "group of" ], [ "trees", "stand in", "field" ] ]
[ "A cat looking at a tv monitor on a desk" ]
[ "The TV monitor is positioned on a desk, and a cat is looking at it." ]
[ "A tv monitor looking at a cat on a desk." ]
data_swap_obj
[ [ "cat", "look at", "monitor" ], [ "monitor", "is", "tv" ], [ "monitor", "on", "desk" ] ]
[ [ "cat", "look at", "monitor" ], [ "monitor", "is", "television" ], [ "monitor", "on", "desk" ] ]
[ [ "cat", "on", "desk" ], [ "monitor", "is", "tv" ], [ "monitor", "look at", "cat" ] ]
[ "A brown and black cat laying on laptop next to a chair." ]
[ "A cat, which is black and brown, is positioned on top of a laptop that is adjacent to a chair." ]
[ "A brown and black cat laying on a chair next to a laptop." ]
data_swap_obj
[ [ "cat", "is", "black" ], [ "cat", "is", "brown" ], [ "cat", "lay on", "laptop" ], [ "laptop", "next to", "chair" ] ]
[ [ "cat", "is", "black" ], [ "cat", "is", "brown" ], [ "cat", "on top of", "laptop" ], [ "laptop", "next to", "chair" ] ]
[ [ "cat", "is", "black" ], [ "cat", "is", "brown" ], [ "cat", "lay on", "chair" ], [ "chair", "next to", "laptop" ] ]
[ "A statue is sitting on a bench and a person sits on a cement block." ]
[ "A person is sitting on a cement block while a statue is positioned on a bench." ]
[ "A person is sitting on a bench and a statue sits on a cement block." ]
data_swap_obj
[ [ "block", "is", "cement" ], [ "person", "sit on", "block" ], [ "statue", "sit on", "bench" ], [ "statue", "sit on", "block" ] ]
[ [ "block", "is", "cement" ], [ "person", "sit on", "block" ], [ "statue", "sit on", "bench" ] ]
[ [ "block", "is", "cement" ], [ "person", "sit on", "bench" ], [ "statue", "sit on", "block" ] ]
[ "a person films a skate boarder doing a trick " ]
[ "A skateboarder is being filmed by a person doing a trick." ]
[ "A skate boarder films a person doing a trick." ]
data_swap_obj
[ [ "person", "trick on", "skate boarder" ] ]
[ [ "person", "trick on", "skateboarder" ] ]
[ [ "person", "trick on", "skate boarder" ] ]
[ "A group of people in a park with a tall clock tower in the background." ]
[ "A tall clock tower is in the background of a group of people in a park." ]
[ "A tall clock tower in a park with a group of people in the background." ]
data_swap_obj
[ [ "clock tower", "is", "tall" ], [ "people", "in", "park" ], [ "people", "is", "group of" ] ]
[ [ "clock tower", "in", "park" ], [ "clock tower", "is", "tall" ], [ "people", "in", "park" ], [ "people", "is", "group of" ] ]
[ [ "clock tower", "in", "park" ], [ "clock tower", "is", "tall" ], [ "people", "in", "background" ], [ "people", "is", "group of" ] ]
[ "A person in uniform shows something on their cell phone to a group of children." ]
[ "A person wearing uniform is displaying something on their cell phone to a group of kids." ]
[ "A group of children in uniform show something on their cell phone to a person." ]
data_swap_obj
[ [ "people", "is", "group of" ], [ "person", "show something on", "cellphone" ], [ "person", "wear", "uniform" ] ]
[ [ "people", "is", "group of" ], [ "person", "display", "something" ], [ "person", "display on", "cellphone" ], [ "person", "wear", "uniform" ] ]
[ [ "children", "in", "uniform" ], [ "children", "is", "group of" ], [ "children", "show something on", "cellphone" ] ]
[ "The room is crowded with many things including chairs, a bicycle, and a table with cups on it." ]
[ "The room is filled with numerous items, including a bicycle, chairs and a table with cups on it." ]
[ "The room is crowded with many things including cups, a bicycle, and a table with chairs on it." ]
data_swap_obj
[ [ "chairs", "on", "table" ], [ "room", "have", "bicycle" ], [ "room", "have", "chairs" ], [ "room", "is", "crowded" ], [ "table", "with", "cups" ] ]
[ [ "chairs", "on", "table" ], [ "items", "is", "bicycle" ], [ "room", "fill with", "chairs" ], [ "room", "fill with", "items" ] ]
[ [ "chairs", "on", "table" ], [ "cups", "on", "table" ], [ "room", "is", "crowded" ] ]
[ "The woman in the diner and the man looking into the window are making eye contact." ]
[ "The man in the window is facing the woman in the diner, and they are making eye contact." ]
[ "The man in the diner and the woman looking into the window are making eye contact." ]
data_swap_obj
[ [ "man", "look into", "window" ], [ "man", "make", "eye contact" ], [ "woman", "in", "diner" ], [ "woman", "make", "eye contact" ] ]
[ [ "man", "face", "woman" ], [ "man", "in", "window" ], [ "woman", "in", "diner" ] ]
[ [ "man", "in", "diner" ], [ "man", "look into", "window" ], [ "man", "make", "eye contact" ], [ "woman", "look into", "window" ] ]