Datasets:
AsphyXIA
/
sugarcrepepp

Dataset card Data Studio Files
xet
Community
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[ "A knit item sitting on a laptop on a desk." ]
[ "A knit item is positioned on top of a laptop, which is placed on a desk." ]
[ "A laptop sitting on a knit item on a desk." ]
data_swap_obj
[ [ "item", "is", "knit" ], [ "item", "sit on", "laptop" ], [ "laptop", "on", "desk" ] ]
[ [ "item", "is", "knit" ], [ "item", "on top of", "laptop" ], [ "laptop", "place on", "desk" ] ]
[ [ "item", "is", "knit" ], [ "item", "on", "desk" ], [ "laptop", "sit on", "item" ] ]
[ "A banana sitting on top of oranges and other fruit." ]
[ "The oranges and other fruit are positioned underneath the banana." ]
[ "Oranges sitting on top of a banana and other fruit." ]
data_swap_obj
[ [ "banana", "sit on top of", "fruit" ], [ "banana", "sit on top of", "oranges" ] ]
[ [ "fruit", "under", "banana" ], [ "oranges", "under", "banana" ] ]
[ [ "oranges", "sit on top of", "banana" ], [ "oranges", "sit on top of", "fruit" ] ]
[ "A table with five red cups, a pineapple and some oranges on a plate" ]
[ "A plate with some oranges, five red cups, and a pineapple are placed on a table." ]
[ "A plate with five red cups, a pineapple and some oranges on a table." ]
data_swap_obj
[ [ "cups", "is", "5" ], [ "cups", "is", "red" ], [ "cups", "on", "table" ], [ "oranges", "on", "table" ] ]
[ [ "cups", "is", "5" ], [ "cups", "is", "red" ], [ "oranges", "on", "plate" ], [ "plate", "place on", "table" ], [ "plate", "with", "cups" ] ]
[ [ "cups", "is", "5" ], [ "cups", "is", "red" ], [ "oranges", "on", "plate" ], [ "plate", "on", "table" ], [ "plate", "with", "cups" ] ]
[ "An adult standing behind a little child while holding an umbrella." ]
[ "An adult holding an umbrella stands behind a little child." ]
[ "A little child standing behind an adult while holding an umbrella." ]
data_swap_obj
[ [ "adult", "hold", "umbrella" ], [ "adult", "stand behind", "child" ], [ "child", "is", "little" ] ]
[ [ "adult", "hold", "umbrella" ], [ "adult", "stand behind", "child" ], [ "child", "is", "little" ] ]
[ [ "child", "hold", "umbrella" ], [ "child", "is", "little" ], [ "child", "stand behind", "adult" ] ]
[ "A sculpture of two persons stting on a bench with their purses on the ground while people standing in a line behind them. " ]
[ "A bench contains a sculpture of two persons sitting on it with their purses on the ground, while people stand in a line behind them." ]
[ "A sculpture of people standing in a line on a bench with their purses on the ground while two persons sit behind them." ]
data_swap_obj
[ [ "person", "is", "2" ], [ "person", "sit on", "bench" ], [ "person", "stand behind", "person" ], [ "person", "stand in", "line" ], [ "purses", "on", "ground" ] ]
[ [ "bench", "contain", "sculpture" ], [ "person", "sit on", "bench" ], [ "person", "stand behind", "person" ], [ "person", "stand in", "line" ], [ "purses", "on", "ground" ] ]
[ [ "people", "is", "2" ], [ "people", "on", "bench" ], [ "people", "stand in", "line" ], [ "persons", "sit behind", "people" ], [ "purses", "on", "ground" ] ]
[ "A vase with red flowers on it next to a map." ]
[ "A map adjacent to a vase with red flowers on it." ]
[ "A vase with a map on it next to red flowers." ]
data_swap_obj
[ [ "flowers", "is", "red" ], [ "vase", "next to", "map" ], [ "vase", "with", "flowers" ] ]
[ [ "flowers", "is", "red" ], [ "map", "next to", "vase" ], [ "map", "with", "flowers" ] ]
[ [ "flowers", "is", "red" ], [ "map", "on", "vase" ], [ "vase", "next to", "flowers" ] ]
[ "Outside view of the MGM Grand in Las Vegas with people sitting and walking." ]
[ "The MGM Grand in Las Vegas is visible from an outside perspective, with individuals sitting and walking around." ]
[ "Outside view of the people in Las Vegas with the MGM Grand sitting and walking." ]
data_swap_obj
[ [ "MGM Grand", "in", "Las Vegas" ], [ "people", "is", "sitting" ], [ "people", "is", "walking" ] ]
[ [ "MGM", "in", "Las Vegas" ], [ "people", "is", "outside" ], [ "people", "is", "sitting" ], [ "people", "is", "walking" ] ]
[ [ "people", "in", "Las Vegas" ], [ "people", "is", "sitting" ], [ "people", "is", "walking" ] ]
[ "a person standing on cement lift their leg over a brief case" ]
[ "A person elevates their leg over a briefcase while standing on a cement." ]
[ "a person standing on a briefcase lifts their leg over cement." ]
data_swap_obj
[ [ "leg", "over", "brief case" ], [ "person", "lift", "leg" ], [ "person", "stand on", "cement" ] ]
[ [ "leg", "over", "briefcase" ], [ "person", "have", "leg" ], [ "person", "stand on", "cement" ] ]
[ [ "leg", "over", "cement" ], [ "person", "lift", "leg" ], [ "person", "stand on", "briefcase" ] ]
[ "A couple of guys are sitting with their luggage bag as a lady walks on. " ]
[ "A lady walks on while a couple of guys are sitting with their luggage bag." ]
[ "A lady is sitting with her luggage bag as a couple of guys walk on." ]
data_swap_obj
[ [ "lady", "walk on", "luggage bag" ], [ "people", "sit with", "luggage bag" ] ]
[ [ "lady", "sit with", "luggage bag" ], [ "lady", "walk on", "people" ], [ "people", "sit with", "luggage bag" ] ]
[ [ "lady", "sit with", "luggage bag" ], [ "people", "walk on", "luggage bag" ] ]
[ "A baseball player throws a pitch while others watch from the dugout." ]
[ "People watch from the dugout while a baseball player throws a pitch." ]
[ "Others throw a pitch while a baseball player watches from the dugout." ]
data_swap_obj
[ [ "baseball player", "throw", "pitch" ], [ "baseball player", "watch from", "dugout" ] ]
[ [ "baseball player", "throw", "pitch" ], [ "people", "watch from", "dugout" ] ]
[ [ "baseball player", "watch from", "dugout" ], [ "others", "throw", "pitch" ] ]
[ "A person stands on a fishing boat as the tide rolls in from the shore on a desolate beach." ]
[ "The tide comes in from the shore on an empty beach with a person on a fishing boat." ]
[ "A person stands on the shore as the tide rolls in from a fishing boat on a desolate beach." ]
data_swap_obj
[ [ "beach", "is", "desolate" ], [ "person", "on", "beach" ], [ "person", "stand on", "fishing boat" ], [ "tide", "roll in from", "shore" ] ]
[ [ "beach", "is", "empty" ], [ "beach", "on", "beach" ], [ "person", "on", "fishing boat" ], [ "tide", "come from", "shore" ] ]
[ [ "beach", "is", "desolate" ], [ "person", "on", "beach" ], [ "person", "stand on", "shore" ], [ "tide", "roll in from", "fishing boat" ] ]
[ "Four people play a game of mixed doubles tennis while another person looks on." ]
[ "while a person observes, four other individuals engage in a game of mixed doubles tennis." ]
[ "A person plays a game of mixed doubles tennis while another four people look on." ]
data_swap_obj
[ [ "people", "is", "4" ], [ "people", "play", "tennis" ], [ "person", "look on", "person" ], [ "tennis", "is", "mixed doubles" ] ]
[ [ "individuals", "is", "4" ], [ "individuals", "is", "observes" ], [ "individuals", "play", "tennis" ], [ "tennis", "is", "doubles" ] ]
[ [ "people", "is", "4" ], [ "people", "look on", "person" ], [ "person", "play", "tennis" ], [ "tennis", "is", "mixed doubles" ] ]
[ "Two persons are on a bicycle and a third is on a scooter." ]
[ "A person is on a scooter while two other individuals are on a bike." ]
[ "A third person is on a bicycle and two are on a scooter." ]
data_swap_obj
[ [ "persons", "is", "2" ], [ "persons", "is", "3" ], [ "persons", "on", "bicycle" ], [ "persons", "on", "scooter" ] ]
[ [ "individuals", "is", "2" ], [ "individuals", "on", "bike" ], [ "person", "on", "scooter" ] ]
[ [ "person", "is", "third" ], [ "person", "on", "bicycle" ], [ "person", "on", "scooter" ] ]
[ "An orange train engine moves down the track with one train car behind it." ]
[ "The train car follows the orange train engine moving down the track." ]
[ "One orange train car moves down the track with a train engine behind it." ]
data_swap_obj
[ [ "train car", "behind", "train engine" ], [ "train engine", "is", "orange" ], [ "train engine", "move down", "track" ] ]
[ [ "train car", "follow", "train engine" ], [ "train engine", "is", "orange" ], [ "train engine", "move down", "track" ] ]
[ [ "train car", "is", "orange" ], [ "train car", "move down", "track" ], [ "train engine", "behind", "train car" ] ]
[ "A red stop sign with two green street signs on top of it." ]
[ "two green street signs are positioned on top of a red stop sign." ]
[ "Two green street signs with a red stop sign on top of them." ]
data_swap_obj
[ [ "stop sign", "is", "red" ], [ "street signs", "is", "2" ], [ "street signs", "is", "green" ], [ "street signs", "on top of", "stop sign" ] ]
[ [ "stop sign", "is", "red" ], [ "street signs", "is", "2" ], [ "street signs", "is", "green" ], [ "street signs", "on top of", "stop sign" ] ]
[ [ "stop sign", "is", "red" ], [ "stop sign", "on top of", "street signs" ], [ "street signs", "is", "2" ], [ "street signs", "is", "green" ] ]
[ "A person wearing red playing tennis on a blue and green court." ]
[ "A person wearing red is on a green and blue court playing tennis ." ]
[ "A person wearing blue and green playing tennis on a red court." ]
data_swap_obj
[ [ "court", "is", "blue" ], [ "court", "is", "green" ], [ "person", "play", "tennis" ], [ "person", "wear", "red" ] ]
[ [ "court", "is", "blue" ], [ "court", "is", "green" ], [ "person", "play", "tennis" ], [ "person", "wear", "red" ] ]
[ [ "clothes", "is", "blue" ], [ "clothes", "is", "green" ], [ "court", "is", "red" ], [ "person", "play", "tennis" ], [ "person", "wear", "clothes" ] ]
[ "A bus loads and unloads passengers next to a plane." ]
[ "A bus is loading and unloading passengers adjacent to a plane." ]
[ "A plane loads and unloads passengers next to a bus." ]
data_swap_obj
[ [ "bus", "load", "passengers" ], [ "passengers", "next to", "plane" ] ]
[ [ "bus", "load", "passengers" ], [ "passengers", "is", "unloading" ], [ "passengers", "next to", "plane" ] ]
[ [ "passengers", "next to", "bus" ], [ "plane", "load", "passengers" ] ]
[ "There is a cream colored couch behind the oval coffee table." ]
[ "The oval coffee table is positioned in front of the cream-colored couch." ]
[ "There is an oval cream colored coffee table behind the couch." ]
data_swap_obj
[ [ "coffee table", "is", "oval" ], [ "couch", "behind", "coffee table" ], [ "couch", "is", "cream colored" ] ]
[ [ "coffee table", "in front of", "couch" ], [ "coffee table", "is", "oval" ], [ "couch", "is", "cream-colored" ] ]
[ [ "coffee table", "behind", "couch" ], [ "coffee table", "is", "cream colored" ], [ "coffee table", "is", "oval" ] ]
[ "A room with a tv in the background and a laptop screen in the foreground " ]
[ "The room featuring a laptop screen in the foreground and a TV in the background." ]
[ "A room with a laptop screen in the background and a tv screen in the foreground." ]
data_swap_obj
[ [ "room", "with", "screen" ], [ "room", "with", "tv" ], [ "screen", "is", "laptop" ], [ "tv", "in", "background" ], [ "tv", "in", "fore" ] ]
[ [ "room", "feature", "laptop" ], [ "room", "feature", "screen" ], [ "screen", "in", "background" ], [ "screen", "in", "foreground" ], [ "screen", "is", "laptop" ] ]
[ [ "room", "with", "laptop" ], [ "room", "with", "screen" ], [ "screen", "in", "background" ], [ "screen", "in", "foreground" ], [ "screen", "is", "laptop" ] ]
[ "a girl holds a baby eating a bagel with a boy standing next to them" ]
[ "A baby holding a bagel is being held by a girl, with a boy standing next to them." ]
[ "A boy holds a baby eating a bagel with a girl standing next to them." ]
data_swap_obj
[ [ "baby", "eat", "bagel" ], [ "boy", "stand next to", "girl" ], [ "girl", "hold", "baby" ] ]
[ [ "baby", "hold", "bagel" ], [ "boy", "stand next to", "baby" ], [ "girl", "hold", "bagel" ] ]
[ [ "baby", "eat", "bagel" ], [ "boy", "hold", "baby" ], [ "girl", "stand next to", "boy" ] ]
[ "A person on a motorcycle driving past a group of people behind a fence." ]
[ "A person is driving a motorcycle past a group of individuals who are behind a fence." ]
[ "A group of people on motorcycles driving past a person behind a fence." ]
data_swap_obj
[ [ "people", "behind", "fence" ], [ "people", "is", "group of" ], [ "person", "drive past", "people" ], [ "person", "on", "motorcycle" ] ]
[ [ "individuals", "behind", "fence" ], [ "individuals", "is", "group of" ], [ "person", "drive", "motorcycle" ] ]
[ [ "people", "drive past", "person" ], [ "people", "is", "group of" ], [ "people", "on", "motorcycles" ], [ "person", "behind", "fence" ] ]
[ "A white plate topped with broccoli and a dumpling." ]
[ "The broccoli and a dumpling are placed on top of a white plate." ]
[ "A dumpling topped with broccoli and a white plate." ]
data_swap_obj
[ [ "plate", "is", "white" ], [ "plate", "top with", "broccoli" ], [ "plate", "top with", "dumpling" ] ]
[ [ "broccoli", "on top of", "plate" ], [ "dumpling", "on top of", "plate" ], [ "plate", "is", "white" ] ]
[ [ "dumpling", "top with", "broccoli" ], [ "dumpling", "top with", "plate" ], [ "plate", "is", "white" ] ]
[ "A man sitting at a bar being served by a woman" ]
[ "A woman is serving a man who is sitting at a bar." ]
[ "A woman sitting at a bar being served by a man." ]
data_swap_obj
[ [ "man", "sit at", "bar" ], [ "woman", "serve", "man" ] ]
[ [ "man", "sit at", "bar" ], [ "woman", "serve", "man" ] ]
[ [ "man", "serve", "woman" ], [ "woman", "sit at", "bar" ] ]
[ "A young child standing in front of a plate of food." ]
[ "A plate filled with food is positioned in front of a small child." ]
[ "A plate of food standing in front of a young child." ]
data_swap_obj
[ [ "child", "is", "young" ], [ "child", "stand in front of", "plate" ], [ "plate", "have", "food" ] ]
[ [ "child", "is", "small" ], [ "plate", "fill with", "food" ], [ "plate", "in front of", "child" ] ]
[ [ "child", "is", "young" ], [ "plate", "have", "food" ], [ "plate", "stand in front of", "child" ] ]
[ "A green park bench underneath a tree in a park." ]
[ "The green park bench is positioned in the park underneath the tree" ]
[ "A tree underneath a green park bench in a park." ]
data_swap_obj
[ [ "bench", "in", "park" ], [ "bench", "is", "green" ], [ "bench", "under", "tree" ] ]
[ [ "park bench", "in", "park" ], [ "park bench", "is", "green" ], [ "park bench", "under", "tree" ] ]
[ [ "park bench", "in", "park" ], [ "park bench", "is", "green" ], [ "tree", "under", "park bench" ] ]
[ "Donuts in a box and a type of meat on a plate." ]
[ "a type of meat is on a plate along with donuts in a box." ]
[ "A type of meat in a box and donuts on a plate." ]
data_swap_obj
[ [ "donuts", "in", "box" ], [ "donuts", "on", "plate" ], [ "meat", "on", "plate" ] ]
[ [ "donuts", "in", "box" ], [ "meat", "on", "plate" ], [ "plate", "alongside", "donuts" ] ]
[ [ "donuts", "on", "plate" ], [ "meat", "in", "box" ], [ "meat", "on", "plate" ] ]
[ "plates with sandwiches next to a can of spam" ]
[ "A can of spam is adjacent to the plates with sandwiches." ]
[ "A can of spam with sandwiches next to plates." ]
data_swap_obj
[ [ "plates", "next to", "can" ], [ "sandwiches", "next to", "can" ], [ "sandwiches", "with", "sandwiches" ] ]
[ [ "can", "is", "spam" ], [ "can", "next to", "plates" ], [ "plates", "with", "sandwiches" ] ]
[ [ "can", "have", "sandwiches" ], [ "can", "next to", "plates" ] ]
[ "A person sitting in front of several glasses, talking on their phone. " ]
[ "A person conversing on their phone is seated in front of several glasses." ]
[ "Several glasses sitting in front of a person, talking on their phone." ]
data_swap_obj
[ [ "person", "sit in front of", "glasses" ], [ "person", "talk on", "phone" ] ]
[ [ "person", "converse on", "phone" ], [ "person", "sit in front of", "glasses" ] ]
[ [ "glasses", "sit in front of", "person" ], [ "person", "talk on", "phone" ] ]
[ "a white mug showing pirate skull and bones and a large knife on a counter top." ]
[ "A large knife and a white mug displaying a pirate skull and bones are positioned on a countertop." ]
[ "A large knife showing pirate skull and bones on a counter top next to a white mug." ]
data_swap_obj
[ [ "knife", "is", "large" ], [ "mug", "is", "white" ], [ "mug", "on", "countertop" ], [ "mug", "show", "bones" ], [ "skull", "is", "pirate" ], [ "skull", "on", "mug" ] ]
[ [ "knife", "is", "large" ], [ "knife", "on", "countertop" ], [ "mug", "display", "bones" ], [ "mug", "display", "skull" ], [ "mug", "is", "white" ] ]
[ [ "knife", "is", "large" ], [ "knife", "next to", "mug" ], [ "knife", "on", "countertop" ], [ "knife", "show", "bones" ], [ "knife", "show", "skull" ], [ "mug", "is", "white" ] ]
[ "A small pizza with olives is placed on a stack of plates." ]
[ "A small pizza topped with olives is placed on top of a stack of plates." ]
[ "A stack of plates with olives is placed on a small pizza." ]
data_swap_obj
[ [ "olives", "place on", "plates" ], [ "pizza", "is", "small" ], [ "pizza", "place on", "plates" ] ]
[ [ "olives", "on top of", "pizza" ], [ "olives", "on top of", "plates" ], [ "pizza", "is", "small" ] ]
[ [ "pizza", "is", "small" ], [ "plates", "is", "stack" ], [ "plates", "place on", "pizza" ], [ "plates", "with", "olives" ] ]
[ "A ham sandwich on a white plate with a kale garnish." ]
[ "A white plate with a ham sandwich on top and a kale garnish on the side." ]
[ "A kale garnish on a white plate with a ham sandwich." ]
data_swap_obj
[ [ "ham sandwich", "on", "plate" ], [ "kale", "on", "plate" ], [ "plate", "is", "white" ] ]
[ [ "ham sandwich", "on top of", "plate" ], [ "kale", "on side of", "plate" ], [ "plate", "is", "white" ] ]
[ [ "kale", "on", "plate" ], [ "plate", "is", "white" ], [ "plate", "with", "sandwich" ] ]
[ "Two cows in a meadow with a historic structure in the background." ]
[ "In a meadow, two cows are grazing while a historic structure is visible in the background." ]
[ "A historic structure in a meadow with two cows in the background." ]
data_swap_obj
[ [ "cows", "in", "meadow" ], [ "cows", "is", "2" ], [ "structure", "in", "background" ], [ "structure", "is", "historic" ] ]
[ [ "cows", "graze in", "meadow" ], [ "cows", "is", "2" ], [ "structure", "in", "background" ], [ "structure", "is", "historic" ] ]
[ [ "cows", "in", "background" ], [ "cows", "is", "2" ], [ "structure", "in", "meadow" ], [ "structure", "is", "historic" ] ]
[ "A light that is sitting underneath a umbrella." ]
[ "The umbrella is positioned above the light." ]
[ "An umbrella that is sitting underneath a light." ]
data_swap_obj
[ [ "light", "sit under", "umbrella" ] ]
[ [ "umbrella", "place above", "light" ] ]
[ [ "umbrella", "sit under", "light" ] ]
[ "A large orbital vase sits next to a candle on a table." ]
[ "A large orbital vase is positioned next to a candle on a table." ]
[ "A large orbital candle sits next to a vase on a table." ]
data_swap_obj
[ [ "candle", "on", "table" ], [ "vase", "is", "large" ], [ "vase", "is", "orbital" ], [ "vase", "sit next to", "candle" ] ]
[ [ "vase", "is", "large" ], [ "vase", "is", "orbital" ], [ "vase", "next to", "candle" ], [ "vase", "on", "table" ] ]
[ [ "candle", "is", "large" ], [ "candle", "is", "orbital" ], [ "candle", "sit next to", "vase" ], [ "vase", "on", "table" ] ]
[ "A room with a desktop computer and a picture of a mummy. " ]
[ "A desktop computer and a picture of the mummy are positioned in a room." ]
[ "A room with a mummy and a picture of a desktop computer." ]
data_swap_obj
[ [ "computer", "is", "desktop" ], [ "picture", "have", "mummy" ], [ "room", "with", "computer" ] ]
[ [ "computer", "in", "room" ], [ "computer", "is", "desktop" ], [ "picture", "display", "mummy" ], [ "picture", "in", "room" ] ]
[ [ "computer", "is", "desktop" ], [ "room", "with", "mummy" ], [ "room", "with", "picture" ] ]
[ "a small television in front of a bookshelf" ]
[ "The bookshelf is positioned behind the small television." ]
[ "A bookshelf in front of a small television." ]
data_swap_obj
[ [ "television", "in front of", "bookshelf" ], [ "television", "is", "small" ] ]
[ [ "bookshelf", "behind", "television" ], [ "television", "is", "small" ] ]
[ [ "bookshelf", "in front of", "television" ], [ "television", "is", "small" ] ]
[ "A person cuts a pizza to serve with salad and wine." ]
[ "A person slices a pizza to serve alongside wine and a salad." ]
[ "A person cuts a salad to serve with pizza and wine." ]
data_swap_obj
[ [ "person", "cut", "pizza" ], [ "person", "serve with", "salad" ], [ "person", "serve with", "wine" ] ]
[ [ "person", "serve alongside", "salad" ], [ "person", "serve alongside", "wine" ], [ "person", "slice", "pizza" ] ]
[ [ "person", "cut", "salad" ], [ "person", "serve with", "pizza" ], [ "person", "serve with", "wine" ] ]
[ "A bowl full of food sitting on a table next to a fork that rests on top of a circular disk." ]
[ "A circular disk is below a fork that is positioned adjacent to a bowl full of food that is situated on a table." ]
[ "A fork full of food sitting on a table next to a bowl that rests on top of a circular disk." ]
data_swap_obj
[ [ "bowl", "have", "food" ], [ "bowl", "sit on", "table" ], [ "plate", "is", "circular" ], [ "plate", "next to", "fork" ], [ "table", "next to", "fork" ] ]
[ [ "bowl", "have", "food" ], [ "disk", "is", "circular" ], [ "disk", "under", "fork" ], [ "fork", "is", "positioned" ], [ "fork", "is", "silver" ], [ "fork", "on", "table" ] ]
[ [ "disk", "is", "circular" ], [ "fork", "have", "food" ], [ "fork", "sit next to", "bowl" ], [ "fork", "sit on", "table" ], [ "table", "next to", "disk" ] ]
[ "A toilet with a black seat next to a shower." ]
[ "The shower is adjacent to the toilet with a black seat." ]
[ "A shower with a black seat next to a toilet." ]
data_swap_obj
[ [ "seat", "is", "black" ], [ "toilet", "next to", "shower" ], [ "toilet", "with", "seat" ] ]
[ [ "seat", "is", "black" ], [ "shower", "next to", "toilet" ], [ "toilet", "with", "seat" ] ]
[ [ "seat", "is", "black" ], [ "shower", "next to", "toilet" ], [ "shower", "with", "seat" ] ]
[ "A young kid hitting a baseball with a bat close to some chairs." ]
[ "A young child is swinging a bat to hit a baseball near some chairs." ]
[ "A young kid hitting a bat with a baseball close to some chairs." ]
data_swap_obj
[ [ "kid", "close to", "chairs" ], [ "kid", "hit", "baseball" ], [ "kid", "hit with", "bat" ], [ "kid", "is", "young" ] ]
[ [ "child", "hit", "baseball" ], [ "child", "is", "young" ], [ "child", "near", "chairs" ], [ "child", "swing", "bat" ] ]
[ [ "kid", "close to", "chairs" ], [ "kid", "hit", "bat" ], [ "kid", "hit with", "baseball" ], [ "kid", "is", "young" ] ]
[ "A white plate on top of a table topped with fruits and vegetables." ]
[ "The table has a white plate on top of it, with fruits and vegetables arranged on top of the plate." ]
[ "Fruits and vegetables on top of a table topped with a white plate." ]
data_swap_obj
[ [ "plate", "is", "white" ], [ "plate", "on top of", "table" ], [ "plate", "top with", "fruits" ], [ "plate", "top with", "vegetables" ] ]
[ [ "fruits", "on top of", "plate" ], [ "plate", "is", "white" ], [ "vegetables", "on top of", "plate" ] ]
[ [ "fruit", "on top of", "table" ], [ "plate", "is", "white" ], [ "table", "top with", "plate" ], [ "vegetables", "on top of", "table" ] ]
[ "A street light in front of a colorful train on a bridge." ]
[ "A colorful train is on a bridge with a street light in front of it." ]
[ "A colorful train in front of a street light on a bridge." ]
data_swap_obj
[ [ "street light", "in front of", "train" ], [ "train", "is", "colorful" ], [ "train", "on", "bridge" ] ]
[ [ "street light", "in front of", "train" ], [ "train", "is", "colorful" ], [ "train", "on", "bridge" ] ]
[ [ "street light", "on", "bridge" ], [ "train", "in front of", "street light" ], [ "train", "is", "colorful" ] ]
[ "A surfboard leaning on a wheelbarrow in a backyard. " ]
[ "A wheelbarrow with a surfboard leaning on it is positioned in a backyard." ]
[ "A wheelbarrow leaning on a surfboard in a backyard." ]
data_swap_obj
[ [ "surfboard", "lean on", "wheelbarrow" ], [ "wheelbarrow", "in", "backyard" ] ]
[ [ "wheelbarrow", "in", "backyard" ], [ "wheelbarrow", "lean on", "surfboard" ] ]
[ [ "wheelbarrow", "in", "backyard" ], [ "wheelbarrow", "lean on", "surfboard" ] ]
[ "Cow eating grass while a bull watches nearby" ]
[ "A bull close from close as a cow grazes on the grass." ]
[ "Bull eating grass while a cow watches nearby." ]
data_swap_obj
[ [ "bull", "watch", "cow" ], [ "cow", "eat", "grass" ] ]
[ [ "bull", "is", "close" ], [ "cow", "graze on", "grass" ] ]
[ [ "bull", "eat", "grass" ], [ "cow", "watch", "bull" ] ]
[ "A city street with a rainbow in the background " ]
[ "A rainbow visible in the background of a city street." ]
[ "A rainbow with a city street in the background." ]
data_swap_obj
[ [ "city street", "with", "rainbow" ], [ "rainbow", "in", "background" ] ]
[ [ "rainbow", "in", "city street" ] ]
[ [ "city street", "in", "background" ], [ "rainbow", "with", "city street" ] ]
[ "A person sitting in front of the Eiffel tower near pigeons." ]
[ "A person is surrounded by pigeons while sitting in front of the Eiffel tower, ." ]
[ "Pigeons sitting in front of the Eiffel tower near a person." ]
data_swap_obj
[ [ "person", "sit in front of", "Eiffel tower" ], [ "person", "sit near", "pigeons" ] ]
[ [ "person", "sit in front of", "Eiffel tower" ], [ "pigeons", "surround", "person" ] ]
[ [ "pigeons", "sit in front of", "tower" ], [ "pigeons", "sit near", "person" ], [ "tower", "is", "Eiffel" ] ]
[ "A pizza sitting on top of a pizza box covered in cheese." ]
[ "A pizza is positioned on top of a pizza box that is covered in cheese." ]
[ "A pizza box sitting on top of a pizza covered in cheese." ]
data_swap_obj
[ [ "cheese", "cover", "pizza box" ], [ "pizza", "sit on top of", "pizza box" ] ]
[ [ "cheese", "cover", "pizza box" ], [ "pizza", "on top of", "pizza box" ] ]
[ [ "cheese", "cover", "pizza" ], [ "pizza box", "sit on top of", "pizza" ] ]
[ "A baby holding a spoon looking at a cupcake and candle." ]
[ "A baby is looking at a cupcake and candle while holding a spoon." ]
[ "A baby holding a cupcake looking at a spoon and candle." ]
data_swap_obj
[ [ "baby", "hold", "spoon" ], [ "baby", "look at", "candle" ], [ "baby", "look at", "cupcake" ] ]
[ [ "baby", "hold", "spoon" ], [ "baby", "look at", "candle" ], [ "baby", "look at", "cupcake" ] ]
[ [ "baby", "hold", "cupcake" ], [ "baby", "look at", "candle" ], [ "baby", "look at", "spoon" ] ]
[ "A tall glass case with some fruits in it and some grass growing" ]
[ "A tall glass case with some grass growing inside it and with some fruits in it." ]
[ "Some fruits growing in grass with a tall glass case next to it." ]
data_swap_obj
[ [ "case", "is", "glass" ], [ "case", "is", "tall" ], [ "case", "with", "fruits" ], [ "case", "with", "grass" ] ]
[ [ "case", "is", "glass" ], [ "case", "is", "tall" ], [ "fruits", "in", "case" ], [ "grass", "grow inside", "case" ] ]
[ [ "case", "is", "glass" ], [ "case", "is", "tall" ], [ "case", "next to", "grass" ], [ "fruits", "grow in", "grass" ] ]
[ "Four persons playing Ultimate Frisbee in a park." ]
[ "Four persons are in a park playing Ultimate Frisbee." ]
[ "A park playing Ultimate Frisbee with four persons." ]
data_swap_obj
[ [ "persons", "in", "park" ], [ "persons", "is", "4" ], [ "persons", "play", "Ultimate frisbee" ] ]
[ [ "persons", "in", "park" ], [ "persons", "is", "4" ], [ "persons", "play", "Ultimate frisbee" ] ]
[ [ "park", "play", "Ultimate frisbee" ], [ "park", "play with", "persons" ], [ "persons", "is", "4" ] ]
[ "Clock tower with a bronze statue on top on a sunny day. " ]
[ "A bronze statue is positioned on top of a clock tower on a sunny day." ]
[ "A bronze statue with a clock tower on top on a sunny day." ]
data_swap_obj
[ [ "statue", "is", "bronze" ], [ "statue", "on top of", "clock tower" ] ]
[ [ "statue", "is", "bronze" ], [ "statue", "on top of", "clock tower" ] ]
[ [ "clock tower", "on top of", "statue" ], [ "statue", "is", "bronze" ] ]
[ "The rail trolley is driving in front of other automobiles. " ]
[ "the rail trolley is positioned ahead of other automobiles." ]
[ "Other automobiles are driving in front of the rail trolley." ]
data_swap_obj
[ [ "rail trolley", "drive in front of", "automobiles" ] ]
[ [ "trolley", "in front of", "automobiles" ], [ "trolley", "is", "rail" ] ]
[ [ "automobiles", "drive in front of", "rail trolley" ] ]
[ "Half an eclair on a plate and a coffee mug on wooden table." ]
[ "A coffee mug is on a wooden table and half of an eclair are positioned on a plate." ]
[ "A coffee mug on a plate and half an eclair on wooden table." ]
data_swap_obj
[ [ "coffee mug", "on", "table" ], [ "eclair", "is", "half" ], [ "eclair", "on", "plate" ], [ "table", "is", "wooden" ] ]
[ [ "coffee mug", "on", "table" ], [ "eclair", "on", "plate" ], [ "table", "is", "wooden" ] ]
[ [ "coffee mug", "on", "plate" ], [ "coffee mug", "on", "table" ], [ "eclair", "on", "table" ], [ "table", "is", "wooden" ] ]
[ "People sitting in the stands watching a person play tennis." ]
[ "The person is playing tennis while people are seated in the stands, observing the person." ]
[ "A person sitting in the stands watching people play tennis." ]
data_swap_obj
[ [ "people", "sit in", "stands" ], [ "people", "watch", "person" ], [ "person", "play", "tennis" ] ]
[ [ "people", "sit in", "stands" ], [ "people", "watch", "person" ], [ "person", "play", "tennis" ] ]
[ [ "people", "play", "tennis" ], [ "person", "sit in", "stands" ], [ "person", "watch", "people" ] ]
[ "A child is playing a game system while other kids look on." ]
[ "Other kids are observing a child playing a game system." ]
[ "Other kids are playing a game system while a child looks on." ]
data_swap_obj
[ [ "child", "play", "game system" ], [ "kids", "look on", "child" ] ]
[ [ "child", "play", "game system" ], [ "kids", "watch", "child" ] ]
[ [ "child", "look on", "kids" ], [ "kids", "play", "game system" ] ]
[ "Three Jack-O-Laturns of various shapes, one of which has flowers in it." ]
[ "Three Jack-o'-lanterns of different shapes are seen where one of them is filled with flowers." ]
[ "Flowers of various shapes, one of which has Three Jack-O-Lanterns in it." ]
data_swap_obj
[ [ "Jack-o-Laturns", "is", "3" ], [ "flowers", "in", "Jack-o-Laturns" ] ]
[ [ "lanterns", "fill with", "flowers" ], [ "lanterns", "is", "3" ], [ "lanterns", "is", "different shapes" ] ]
[ [ "Jack-o-lanterns", "is", "3" ], [ "flowers", "have", "Jack-o-lanterns" ], [ "flowers", "is", "various shapes" ] ]
[ "A close up of a sandwich with a drink in the back." ]
[ "A close-up photograph of a sandwich with a drink visible in the background." ]
[ "A close up of a drink with a sandwich in the back." ]
data_swap_obj
[ [ "drink", "in back of", "sandwich" ] ]
[ [ "drink", "in", "background" ], [ "photograph", "is", "close-up" ], [ "sandwich", "in", "photograph" ] ]
[ [ "sandwich", "in back of", "drink" ] ]
[ "An antique red car is positioned in front of an airplane. " ]
[ "An antique car, red in color, is parked in front of an airplane." ]
[ "An airplane is positioned in front of an antique red car." ]
data_swap_obj
[ [ "car", "in front of", "airplane" ], [ "car", "is", "antique" ], [ "car", "is", "red" ] ]
[ [ "car", "is", "antique" ], [ "car", "is", "red" ], [ "car", "park in front of", "airplane" ] ]
[ [ "airplane", "in front of", "car" ], [ "car", "is", "antique" ], [ "car", "is", "red" ] ]
[ "A school bus in the street behind other cars." ]
[ "A school bus is positioned behind other cars on the street." ]
[ "Other cars in the street behind a school bus." ]
data_swap_obj
[ [ "school bus", "behind", "cars" ], [ "school bus", "in", "street" ] ]
[ [ "cars", "on", "street" ], [ "school bus", "behind", "cars" ], [ "school bus", "on", "street" ] ]
[ [ "cars", "behind", "school bus" ], [ "cars", "in", "street" ] ]
[ "Two twin beds in a room with a picture of flowers above it." ]
[ "The room contains two twin beds, and a picture of flowers is positioned above them." ]
[ "A picture of twin flowers in a room with two beds above it." ]
data_swap_obj
[ [ "beds", "in", "room" ], [ "beds", "is", "2" ], [ "beds", "is", "twin" ], [ "flowers", "above", "beds" ] ]
[ [ "beds", "is", "2" ], [ "beds", "is", "twin" ], [ "flowers", "above", "beds" ], [ "room", "contain", "beds" ] ]
[ [ "beds", "is", "2" ], [ "flowers", "in", "picture" ], [ "flowers", "in", "room" ], [ "flowers", "is", "twin" ] ]
[ "a tub boat pulling a small barge through the water" ]
[ "A small barge is being pulled through the water by a tub boat." ]
[ "A small barge pulling a tub boat through the water." ]
data_swap_obj
[ [ "barge", "is", "small" ], [ "barge", "through", "water" ], [ "tub boat", "pull", "barge" ] ]
[ [ "barge", "is", "small" ], [ "barge", "pull through", "water" ], [ "tub boat", "pull", "barge" ] ]
[ [ "barge", "is", "small" ], [ "barge", "pull", "tub boat" ], [ "tub boat", "through", "water" ] ]
[ "A blue vase with an orange floral patters sits in front of a map." ]
[ "A map is positioned behind a blue vase with an orange floral pattern." ]
[ "A map with an orange floral pattern sits in front of a blue vase." ]
data_swap_obj
[ [ "patters", "is", "orange" ], [ "vase", "have", "patters" ], [ "vase", "is", "blue" ], [ "vase", "is", "floral" ], [ "vase", "sit in front of", "map" ] ]
[ [ "map", "behind", "vase" ], [ "pattern", "is", "floral" ], [ "pattern", "is", "orange" ], [ "vase", "is", "blue" ], [ "vase", "with", "pattern" ] ]
[ [ "map", "is", "floral" ], [ "map", "is", "orange" ], [ "map", "sit in front of", "vase" ], [ "vase", "is", "blue" ] ]
[ "A school bus waits in traffic behind a car." ]
[ "A car is in front of a school bus that is waiting in traffic." ]
[ "A car waits in traffic behind a school bus." ]
data_swap_obj
[ [ "school bus", "wait behind", "car" ], [ "school bus", "wait in", "traffic" ] ]
[ [ "car", "in front of", "school bus" ], [ "school bus", "wait in", "traffic" ] ]
[ [ "car", "wait behind", "school bus" ], [ "car", "wait in", "traffic" ] ]
[ "An attractive young person leads a grey horse through a paddock." ]
[ "A grey horse is led by an young person who looks attractive through a paddock." ]
[ "A grey horse leads an attractive young person through a paddock." ]
data_swap_obj
[ [ "horse", "is", "grey" ], [ "person", "is", "attractive" ], [ "person", "lead", "horse" ], [ "person", "lead through", "paddock" ] ]
[ [ "horse", "is", "grey" ], [ "person", "is", "attractive" ], [ "person", "is", "young" ], [ "person", "lead", "horse" ], [ "person", "through", "paddock" ] ]
[ [ "horse", "is", "grey" ], [ "horse", "lead", "person" ], [ "horse", "lead through", "paddock" ], [ "person", "is", "attractive" ], [ "person", "is", "young" ] ]
[ "A person surfing in the ocean with a sail boat behind the person." ]
[ "with a sail boat positioned in the background, a person is surfing in the ocean." ]
[ "A sail boat surfing in the ocean with a person behind it." ]
data_swap_obj
[ [ "person", "surf in", "ocean" ], [ "sail boat", "behind", "person" ] ]
[ [ "person", "surf in", "ocean" ], [ "sail boat", "in", "background" ] ]
[ [ "person", "behind", "sail boat" ], [ "sail boat", "surf in", "ocean" ] ]
[ "A picnic table in sand, underneath a tree." ]
[ "A tree is positioned above a picnic table that is situated in sand, underneath it." ]
[ "A tree in sand, underneath a picnic table." ]
data_swap_obj
[ [ "picnic table", "in", "sand" ], [ "picnic table", "under", "tree" ] ]
[ [ "sand", "under", "picnic table" ], [ "tree", "place above", "picnic table" ] ]
[ [ "tree", "in", "sand" ], [ "tree", "under", "picnic table" ] ]
[ "A little child sits on a bed with a chair next to it." ]
[ "A chair is positioned adjacent to a bed where a little child is seated." ]
[ "A chair sits on a bed with a little child next to it." ]
data_swap_obj
[ [ "chair", "next to", "bed" ], [ "child", "is", "little" ], [ "child", "sit on", "bed" ] ]
[ [ "chair", "next to", "bed" ], [ "child", "is", "little" ], [ "child", "sit on", "chair" ] ]
[ [ "chair", "sit on", "bed" ], [ "child", "is", "little" ], [ "child", "next to", "chair" ] ]
[ "A person carries his surfboard near incoming waves." ]
[ "The surfboard is carried by a person close to incoming waves." ]
[ "His surfboard carries a person near incoming waves." ]
data_swap_obj
[ [ "person", "carry", "surfboard" ], [ "person", "near", "waves" ], [ "waves", "is", "incoming" ] ]
[ [ "person", "carry", "surfboard" ], [ "person", "close to", "waves" ] ]
[ [ "person", "carry", "surfboard" ], [ "person", "near", "waves" ], [ "waves", "is", "incoming" ] ]
[ "The black and white photo shows a truck tilting a large cargo crate." ]
[ "The large cargo crate is being tilted by a truck in a monochrome photograph." ]
[ "The black and white photo shows a large cargo crate tilting a truck." ]
data_swap_obj
[ [ "crate", "is", "large" ], [ "photo", "is", "black" ], [ "photo", "is", "white" ], [ "truck", "tilt", "crate" ] ]
[ [ "crate", "is", "cargo" ], [ "crate", "is", "large" ], [ "truck", "tilt", "crate" ] ]
[ [ "crate", "is", "cargo" ], [ "crate", "is", "large" ], [ "crate", "tilt", "truck" ] ]
[ "A bed with stacked pillows is in a bedroom with a chair." ]
[ "The stacked pillows are on a bed in a bedroom featuring a chair." ]
[ "A chair with stacked pillows is in a bedroom with a bed." ]
data_swap_obj
[ [ "bed", "in", "bedroom" ], [ "bed", "with", "pillows" ], [ "bedroom", "with", "chair" ], [ "pillows", "is", "stacked" ] ]
[ [ "bed", "feature", "chair" ], [ "bed", "in", "bedroom" ], [ "pillows", "is", "stacked" ], [ "pillows", "on", "bed" ] ]
[ [ "bedroom", "with", "bed" ], [ "chair", "in", "bedroom" ], [ "chair", "with", "pillows" ], [ "pillows", "is", "stacked" ] ]
[ "What appears to be a beach-side eatery has an outdoor area with a metal railing and high stools, the whole of which rests on a tilted walkway with a sign and a bench with a logo on it. " ]
[ "The outdoor area of the beach-side eatery has a metal railing and high stools, which are positioned on a tilted walkway with a sign and a bench with a logo on it." ]
[ "What appears to be a beach-side eatery has an outdoor area with high stools and a tilted walkway with a sign and a bench with a logo on it, the whole of which rests on a metal railing." ]
data_swap_obj
[ [ "area", "is", "beach-side" ], [ "area", "is", "outdoor" ], [ "area", "rest on", "walkway" ], [ "area", "with", "railing" ], [ "area", "with", "stools" ], [ "logo", "on", "bench" ], [ "railing", "is", "metal" ], [ "stools", "is", "high" ], [ "stools", "on", "walkway" ], [ "walkway", "is", "tilted" ] ]
[ [ "area", "have", "railing" ], [ "area", "have", "stools" ], [ "area", "is", "beach-side" ], [ "area", "is", "outdoor" ], [ "logo", "on", "bench" ], [ "railing", "is", "metal" ], [ "railing", "on", "walkway" ], [ "stools", "is", "high" ], [ "stools", "on", "walkway" ], [ "walkway", "is", "tilted" ] ]
[ [ "area", "is", "beach-side" ], [ "area", "is", "outdoor" ], [ "area", "is", "tilted" ], [ "area", "rest on", "railing" ], [ "area", "with", "logo" ], [ "area", "with", "stools" ], [ "logo", "on", "bench" ], [ "railing", "is", "metal" ] ]
[ "A computer desk topped with two monitors and a laptop." ]
[ "a laptop and two monitors are positioned on top of a computer desk." ]
[ "Two monitors topped with a laptop on a computer desk." ]
data_swap_obj
[ [ "desk", "is", "computer" ], [ "desk", "top with", "laptop" ], [ "desk", "top with", "monitors" ], [ "monitors", "is", "2" ] ]
[ [ "desk", "is", "computer" ], [ "laptop", "on top of", "desk" ], [ "monitors", "is", "2" ], [ "monitors", "on top of", "desk" ] ]
[ [ "laptop", "on", "desk" ], [ "monitors", "is", "2" ], [ "monitors", "on", "desk" ] ]
[ "A horse pulling a wagon with a conductor down the road. " ]
[ "A wagon with a conductor is being pulled down the road by a horse." ]
[ "A conductor pulling a wagon with a horse down the road." ]
data_swap_obj
[ [ "conductor", "down", "road" ], [ "horse", "pull", "wagon" ] ]
[ [ "horse", "pull", "wagon" ], [ "wagon", "pull down", "road" ], [ "wagon", "with", "conductor" ] ]
[ [ "conductor", "pull", "wagon" ], [ "horse", "down", "road" ] ]
[ "A cat sitting on a table next to plants and a dog outside of a sliding glass door, looking in." ]
[ "a dog is situated outside of a sliding glass door, observing inside at a cat that is sitting on a table adjacent to plants." ]
[ "A dog sitting on a table next to plants and a cat outside of a sliding glass door, looking in." ]
data_swap_obj
[ [ "cat", "look in", "door" ], [ "cat", "sit on", "table" ], [ "door", "is", "glass" ], [ "door", "is", "sliding" ], [ "table", "next to", "plants" ] ]
[ [ "cat", "sit next to", "plants" ], [ "cat", "sit on", "table" ], [ "dog", "observe inside", "door" ], [ "dog", "sit outside", "door" ], [ "door", "is", "glass" ], [ "door", "is", "sliding" ] ]
[ [ "cat", "outside", "door" ], [ "dog", "is", "looking in" ], [ "dog", "sit on", "table" ], [ "door", "is", "sliding" ], [ "table", "next to", "plants" ] ]
[ "A plate on a wooden table full of bread." ]
[ "A wooden table has a plate full of bread on it." ]
[ "A wooden table with bread on it next to a plate." ]
data_swap_obj
[ [ "bread", "on", "plate" ], [ "plate", "on", "table" ], [ "table", "is", "wooden" ] ]
[ [ "bread", "on", "plate" ], [ "plate", "on", "table" ], [ "table", "is", "wooden" ] ]
[ [ "bread", "on", "table" ], [ "table", "is", "wooden" ], [ "table", "next to", "plate" ] ]
[ "There is a banana on a beach chair with a small umbrella" ]
[ "The small umbrella is positioned on a beach chair with a banana." ]
[ "There is a small umbrella on a beach chair with a banana." ]
data_swap_obj
[ [ "banana", "on", "beach chair" ], [ "beach chair", "with", "umbrella" ], [ "umbrella", "is", "small" ] ]
[ [ "umbrella", "is", "small" ], [ "umbrella", "on", "beach chair" ], [ "umbrella", "with", "banana" ] ]
[ [ "umbrella", "is", "small" ], [ "umbrella", "on", "beach chair" ], [ "umbrella", "with", "banana" ] ]
[ "a construction site sits in front of a stop sign " ]
[ "A stop sign is positioned behind a construction site." ]
[ "a stop site sits in front of a construction sign." ]
data_swap_obj
[ [ "construction site", "sit in front of", "stop sign" ] ]
[ [ "stop sign", "positioned behind", "construction site" ] ]
[ [ "sign", "is", "construction" ], [ "stop site", "sit in front of", "sign" ] ]
[ "a bright kitchen with tulips on the table and plants by the window " ]
[ "The kitchen is bright, with plants by the window and tulips placed on the table." ]
[ "A bright kitchen with plants on the table and tulips by the window." ]
data_swap_obj
[ [ "kitchen", "have", "table" ], [ "kitchen", "have", "tulips" ], [ "kitchen", "is", "bright" ], [ "plants", "by", "window" ], [ "tulips", "on", "table" ] ]
[ [ "kitchen", "is", "bright" ], [ "plants", "by", "window" ], [ "plants", "place on", "table" ], [ "tulips", "place on", "table" ] ]
[ [ "kitchen", "have", "plants" ], [ "kitchen", "is", "bright" ], [ "plants", "on", "table" ], [ "tulips", "by", "window" ] ]
[ "A person sitting on a laptop computer next to a cat." ]
[ "A cat is sitting adjacent to a person who is sitting on a laptop computer." ]
[ "A cat sitting on a laptop computer next to a person." ]
data_swap_obj
[ [ "computer", "is", "laptop" ], [ "computer", "next to", "cat" ], [ "person", "sit on", "computer" ] ]
[ [ "cat", "sit next to", "person" ], [ "computer", "is", "laptop" ], [ "person", "sit on", "computer" ] ]
[ [ "cat", "sit on", "computer" ], [ "computer", "is", "laptop" ], [ "computer", "next to", "person" ] ]
[ "A skier is posing for the camera while a young child is in the background. " ]
[ "A young child is positioned in the background while a skier is posing for the camera." ]
[ "A young child is posing for the camera while a skier is in the background." ]
data_swap_obj
[ [ "child", "in", "background" ], [ "child", "is", "young" ], [ "skier", "pose for", "camera" ], [ "skier", "pose in", "background" ] ]
[ [ "child", "in", "background" ], [ "child", "is", "young" ], [ "child", "pose for", "camera" ] ]
[ [ "child", "is", "young" ], [ "child", "pose for", "camera" ], [ "skier", "in", "background" ] ]
[ "A well-lit and well-decorated living room shows a glimpse of a glass front door through the corridor. " ]
[ "A glimpse of a glass front door can be seen through the corridor in a well-decorated and well-lit living room." ]
[ "A well-lit and well-decorated glass front door shows a glimpse of a living room through the corridor." ]
data_swap_obj
[ [ "door", "is", "glass" ], [ "door", "through", "corridor" ], [ "living room", "is", "well-decorated" ], [ "living room", "is", "well-lit" ], [ "living room", "show", "door" ] ]
[ [ "corridor", "in", "living room" ], [ "front door", "in", "living room" ], [ "front door", "is", "glass" ], [ "living room", "is", "well-decorated" ], [ "living room", "is", "well-lit" ] ]
[ [ "front door", "is", "glass" ], [ "front door", "is", "well-decorated" ], [ "front door", "is", "well-lit" ], [ "living room", "through", "corridor" ] ]
[ "The white bridge stretches out over the horizon as the transport train travels below it." ]
[ "The transport train travels below the white bridge that stretches out over the horizon." ]
[ "The transport train stretches out over the horizon as the white bridge travels below it." ]
data_swap_obj
[ [ "bridge", "is", "stretches" ], [ "bridge", "is", "white" ], [ "train", "travel under", "bridge" ] ]
[ [ "bridge", "is", "white" ], [ "bridge", "stretch over", "horizon" ], [ "transport train", "travel under", "bridge" ] ]
[ [ "bridge", "is", "white" ], [ "bridge", "travel under", "transport train" ], [ "transport train", "stretch over", "horizon" ] ]
[ "A truck loaded with cargo slowly creeps down the street." ]
[ "The truck that is loaded with cargo moves down the street." ]
[ "Cargo loaded with a truck slowly creeps down the street." ]
data_swap_obj
[ [ "truck", "creep down", "street" ], [ "truck", "load with", "cargo" ] ]
[ [ "truck", "load with", "cargo" ], [ "truck", "move down", "street" ] ]
[ [ "cargo", "load with", "truck" ], [ "truck", "creep down", "street" ] ]
[ "A little child sits on a bed with a chair next to it." ]
[ "A chair is positioned adjacent to a bed where a little child is seated." ]
[ "A little child sits on a chair with a bed next to it." ]
data_swap_obj
[ [ "chair", "next to", "bed" ], [ "child", "is", "little" ], [ "child", "sit on", "bed" ] ]
[ [ "chair", "next to", "bed" ], [ "child", "is", "little" ], [ "child", "sit on", "chair" ] ]
[ [ "bed", "next to", "chair" ], [ "child", "is", "little" ], [ "child", "sit on", "chair" ] ]
[ "A person sits on a bench as people walk down a sidewalk. " ]
[ "People walk down a sidewalk while a person sits on a bench." ]
[ "People sit on a bench as a person walks down a sidewalk." ]
data_swap_obj
[ [ "people", "walk down", "sidewalk" ], [ "person", "sit on", "bench" ] ]
[ [ "people", "walk down", "sidewalk" ], [ "person", "sit on", "bench" ] ]
[ [ "people", "sit on", "bench" ], [ "person", "walk down", "sidewalk" ] ]
[ "A group of people watching a person cutting a cake." ]
[ "A person is cutting a cake while a group of people watch the person." ]
[ "A person watching a group of people cutting a cake." ]
data_swap_obj
[ [ "people", "is", "group of" ], [ "people", "watch", "person" ], [ "person", "cut", "cake" ] ]
[ [ "people", "is", "group of" ], [ "people", "watch", "person" ], [ "person", "cut", "cake" ] ]
[ [ "people", "cut", "cake" ], [ "people", "is", "group of" ], [ "person", "watch", "people" ] ]
[ "A white plate topped with a fried egg next to a salad." ]
[ "A fried egg is on a white plate adjacent to a salad." ]
[ "A salad topped with a fried egg next to a white plate." ]
data_swap_obj
[ [ "egg", "is", "fried" ], [ "plate", "is", "white" ], [ "plate", "next to", "salad" ], [ "plate", "top with", "egg" ] ]
[ [ "egg", "is", "fried" ], [ "egg", "on", "plate" ], [ "plate", "is", "white" ], [ "plate", "next to", "salad" ] ]
[ [ "egg", "is", "fried" ], [ "plate", "is", "white" ], [ "salad", "top next to", "plate" ], [ "salad", "top with", "egg" ] ]
[ "Two clocks are hung on a wall behind a glass sign." ]
[ "A glass sign is positioned in front of the two clocks that are hung on a wall." ]
[ "A glass sign is hung on a wall behind two clocks." ]
data_swap_obj
[ [ "clocks", "behind", "sign" ], [ "clocks", "hang on", "wall" ], [ "clocks", "is", "2" ], [ "sign", "is", "glass" ] ]
[ [ "clocks", "hang on", "wall" ], [ "clocks", "is", "2" ], [ "sign", "in front of", "clocks" ], [ "sign", "is", "glass" ] ]
[ [ "clocks", "is", "2" ], [ "sign", "behind", "clocks" ], [ "sign", "hang on", "wall" ], [ "sign", "is", "glass" ] ]
[ "A street sign is pictured at the forefront with an ornate building in the background. " ]
[ "An ornate building is positioned in the background with a street sign shown in the foreground." ]
[ "An ornate building is pictured at the forefront with a street sign in the background." ]
data_swap_obj
[ [ "building", "in", "background" ], [ "building", "is", "ornate" ], [ "street sign", "in", "background" ] ]
[ [ "building", "in", "background" ], [ "building", "is", "ornate" ], [ "street sign", "in", "foreground" ] ]
[ [ "building", "in front of", "building" ], [ "building", "is", "ornate" ], [ "street sign", "in", "background" ] ]
[ "A person is in the ocean waves near their surfboard with a dog on it." ]
[ "The person is near their surfboard in the ocean waves with a dog positioned on it." ]
[ "A dog is in the ocean waves near its surfboard with a person on it." ]
data_swap_obj
[ [ "dog", "on", "surfboard" ], [ "person", "in", "waves" ], [ "person", "near", "surfboard" ], [ "waves", "is", "ocean" ] ]
[ [ "dog", "on", "surfboard" ], [ "person", "in", "waves" ], [ "person", "near", "surfboard" ], [ "waves", "is", "ocean" ] ]
[ [ "dog", "in", "waves" ], [ "dog", "near", "surfboard" ], [ "person", "on", "surfboard" ], [ "waves", "is", "ocean" ] ]
[ "a white horse pulling a carriage with a person on it." ]
[ "A person is riding in a carriage that is being pulled by a white horse." ]
[ "A person pulling a carriage with a white horse on it." ]
data_swap_obj
[ [ "horse", "is", "white" ], [ "horse", "pull", "carriage" ], [ "person", "on", "carriage" ] ]
[ [ "horse", "is", "white" ], [ "horse", "pull", "carriage" ], [ "person", "ride in", "carriage" ] ]
[ [ "horse", "is", "white" ], [ "horse", "on", "carriage" ], [ "person", "pull", "carriage" ] ]
[ "A person holds a carrot in their right hand with a beverage in the other." ]
[ "The person holds a beverage in their left hand and a carrot in their other hand." ]
[ "A person holds a beverage in their right hand with a carrot in the other." ]
data_swap_obj
[ [ "beverage", "in", "right hand" ], [ "carrot", "in", "right hand" ], [ "person", "have", "right hand" ], [ "person", "hold", "carrot" ] ]
[ [ "carrot", "in", "left hand" ], [ "person", "have", "left hand" ], [ "person", "hold", "beverage" ], [ "person", "hold", "carrot" ] ]
[ [ "beverage", "in", "right hand" ], [ "carrot", "in", "right hand" ], [ "person", "have", "right hand" ], [ "person", "hold", "beverage" ] ]
[ "the surfer is riding the wave sideways along the beach." ]
[ "The wave is being ridden by the surfer sideways along the beach." ]
[ "The wave is riding the surfer sideways along the beach." ]
data_swap_obj
[ [ "surfer", "ride", "wave" ], [ "wave", "along", "beach" ] ]
[ [ "surfer", "ride", "wave" ], [ "surfer", "ride along", "beach" ] ]
[ [ "surfer", "along", "beach" ], [ "wave", "ride on side of", "surfer" ] ]
[ "A group of kids holding teddy bears and looking happy." ]
[ "A group of children are looking joyful while each holding a teddy bear." ]
[ "A group of teddy bears holding kids and looking happy." ]
data_swap_obj
[ [ "kids", "hold", "teddy bears" ], [ "kids", "is", "group of" ], [ "kids", "is", "happy" ] ]
[ [ "children", "hold", "teddy bear" ], [ "children", "is", "group of" ], [ "children", "is", "joyful" ] ]
[ [ "teddy bears", "hold", "kids" ], [ "teddy bears", "is", "group of" ], [ "teddy bears", "is", "happy" ] ]
[ "Vase full of feathers sitting on a table next to a floral drape." ]
[ "The floral drape is positioned adjacent to the table, which has a vase full of feathers sitting on it." ]
[ "A floral drape full of feathers sitting on a table next to a vase." ]
data_swap_obj
[ [ "drape", "is", "floral" ], [ "vase", "have", "feathers" ], [ "vase", "sit next to", "drape" ], [ "vase", "sit on", "table" ] ]
[ [ "drape", "is", "floral" ], [ "drape", "is", "positioned" ], [ "feathers", "sit on", "vase" ], [ "vase", "sit on", "table" ] ]
[ [ "drape", "have", "feathers" ], [ "drape", "is", "floral" ], [ "drape", "sit on", "table" ], [ "table", "next to", "vase" ] ]
[ "A person standing behind a person holding a bat." ]
[ "The person is holding the bat while another person is standing behind them." ]
[ "A person holding a bat stands behind a person." ]
data_swap_obj
[ [ "person", "hold", "bat" ], [ "person", "stand behind", "person" ] ]
[ [ "person", "hold", "bat" ], [ "person", "stand behind", "person" ] ]
[ [ "person", "hold", "bat" ], [ "person", "stand behind", "person" ] ]
[ "A bluebery cake is on a plate and is topped with butter." ]
[ "The blueberry cake that is topped with butter is placed on a plate." ]
[ "Butter is on a plate and is topped with a blueberry cake." ]
data_swap_obj
[ [ "cake", "is", "bluebery" ], [ "cake", "on", "plate" ], [ "cake", "top with", "butter" ] ]
[ [ "butter", "on top of", "cake" ], [ "cake", "is", "blueberry" ], [ "cake", "place on", "plate" ] ]
[ [ "butter", "on", "plate" ], [ "butter", "top with", "cake" ], [ "cake", "is", "blueberry" ] ]
[ "A church with a clock stands behind a fence" ]
[ "behind a fence, a church with a clock is positioned." ]
[ "A fence with a clock stands behind a church." ]
data_swap_obj
[ [ "church", "stand behind", "fence" ], [ "church", "with", "clock" ] ]
[ [ "church", "behind", "fence" ], [ "church", "with", "clock" ] ]
[ [ "fence", "stand behind", "church" ], [ "fence", "with", "clock" ] ]
[ "A table topped with a cake covered in berries next to a plate of sandwiches." ]
[ "A cake covered in berries is positioned adjacent to a plate of sandwiches on top of a table." ]
[ "A table topped with a plate of sandwiches covered in berries next to a cake." ]
data_swap_obj
[ [ "berries", "cover", "cake" ], [ "berries", "next to", "plate" ], [ "cake", "on top of", "table" ], [ "plate", "have", "sandwiches" ] ]
[ [ "berries", "cover", "cake" ], [ "berries", "on", "plate" ], [ "cake", "on top of", "table" ], [ "sandwiches", "on top of", "table" ] ]
[ [ "berries", "cover", "plate" ], [ "cake", "next to", "plate" ], [ "sandwiches", "on", "plate" ], [ "table", "top with", "sandwiches" ] ]
[ "People watch a person delivering a lecture on a screen." ]
[ "The person delivering a lecture is on a screen, and people are watching him." ]
[ "A person watches people delivering a lecture on a screen." ]
data_swap_obj
[ [ "lecture", "on", "screen" ], [ "people", "watch", "person" ], [ "person", "deliver", "lecture" ] ]
[ [ "people", "watch", "person" ], [ "person", "deliver", "lecture" ], [ "person", "on", "screen" ] ]
[ [ "lectures", "on", "screen" ], [ "people", "deliver", "lectures" ], [ "person", "on", "screen" ], [ "person", "watch", "lectures" ] ]