sample_id stringlengths 13 18 | original_caption stringlengths 20 250 | image_path stringlengths 55 55 | entities listlengths 1 16 | entity_foils listlengths 0 32 | relations_json stringlengths 2 3.58k | swap_negatives listlengths 1 4 |
|---|---|---|---|---|---|---|
coco_59878_230292 | Man wiping his face with a towel on a tennis court with a racket in his other hand. | datasets/COCO/train2014/COCO_train2014_000000265135.jpg | [
"man",
"towel",
"tennis court",
"racket"
] | [
{
"positive": "towel",
"negative": "shirt",
"change_type": "object_change"
},
{
"positive": "tennis court",
"negative": "golf course",
"change_type": "object_change"
},
{
"positive": "racket",
"negative": "bat",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is wiping his face with", "object": "towel", "negatives": [{"subject": "man", "relation_type": "is not wiping his face with", "object": "towel", "change_type": "negation"}, {"subject": "man", "relation_type": "is drying his face with", "object": "towel", "change_type": "antonym"}]}... | [
"tennis wiping his face with a Man on a court towel with a racket in his other hand .",
"Man his with face . a towel a with tennis court wiping his racket in a other hand on",
"his Man wiping a face with a on towel court tennis with a in racket other hand his .",
"a racket in Man wiping his . tennis court wit... |
coco_59878_232194 | A tennis player is drinking and taking a break. | datasets/COCO/train2014/COCO_train2014_000000265135.jpg | [
"tennis player"
] | [
{
"positive": "tennis player",
"negative": "golfer",
"change_type": "object_change"
}
] | [] | [
"A player tennis is drinking and taking a break .",
"is tennis player . taking a and drinking break A",
"A player tennis and is drinking a break taking .",
". taking a break is drinking and A tennis player"
] |
coco_59879_351052 | A man standing on a tennis court holding a tennis racquet. | datasets/COCO/train2014/COCO_train2014_000000432683.jpg | [
"man",
"tennis court",
"tennis racquet"
] | [
{
"positive": "tennis court",
"negative": "golf course",
"change_type": "object_change"
},
{
"positive": "tennis racquet",
"negative": "baseball bat",
"change_type": "object_change"
},
{
"positive": "tennis racquet",
"negative": "tennis ball",
"change_type": "object_chang... | [{"subject": "man", "relation_type": "is standing on", "object": "tennis court", "negatives": [{"subject": "man", "relation_type": "is sitting on", "object": "tennis court", "change_type": "antonym"}, {"subject": "man", "relation_type": "is under", "object": "tennis court", "change_type": "antonym"}, {"subject": "man",... | [
"A tennis standing on a man racquet holding a court tennis .",
"a man . on holding tennis court a A tennis racquet standing",
"A man standing tennis a on holding court a racquet tennis .",
"court holding a A man standing on a tennis tennis racquet ."
] |
coco_59879_352435 | One guy abiut to serve the ball and the other waits to return the volley. | datasets/COCO/train2014/COCO_train2014_000000432683.jpg | [
"one guy",
"the other",
"the ball",
"the volley"
] | [
{
"positive": "one guy",
"negative": "two guys",
"change_type": "attribute_change"
},
{
"positive": "one guy",
"negative": "one girl",
"change_type": "object_change"
},
{
"positive": "the ball",
"negative": "the racket",
"change_type": "object_change"
},
{
"positi... | [{"subject": "one guy", "relation_type": "is about to serve", "object": "the ball", "negatives": [{"subject": "one guy", "relation_type": "is not about to serve", "object": "the ball", "change_type": "negation"}, {"subject": "one guy", "relation_type": "is holding", "object": "the ball", "change_type": "antonym"}]}, {"... | [
"One other waits to serve the ball and the volley guy to return the abiut .",
"serve guy abiut and to One ball the to other waits the . return volley the",
"abiut One guy the to serve and the ball waits to other volley return the .",
". to serve the ball and the other waits to return the volley One guy abiut"... |
coco_59879_353125 | Two men play doubles on a tennis court. | datasets/COCO/train2014/COCO_train2014_000000432683.jpg | [
"two men",
"doubles",
"tennis court"
] | [
{
"positive": "two men",
"negative": "two women",
"change_type": "attribute_change"
},
{
"positive": "two men",
"negative": "two players",
"change_type": "attribute_change"
},
{
"positive": "doubles",
"negative": "singles",
"change_type": "attribute_change"
},
{
"... | [{"subject": "two men", "relation_type": "are playing", "object": "doubles", "negatives": []}, {"subject": "two men", "relation_type": "are on", "object": "tennis court", "negatives": [{"subject": "two men", "relation_type": "are not on", "object": "tennis court", "change_type": "negation"}, {"subject": "two men", "rel... | [
"Two tennis play men on a doubles court .",
". men a doubles Two play tennis court on",
"men Two play a on doubles court tennis .",
"doubles on a tennis court . Two men play"
] |
coco_59879_357355 | A tennis player grips his racket and looks out over the court. | datasets/COCO/train2014/COCO_train2014_000000432683.jpg | [
"tennis player",
"racket",
"court"
] | [
{
"positive": "tennis player",
"negative": "golfer",
"change_type": "object_change"
},
{
"positive": "racket",
"negative": "bat",
"change_type": "object_change"
},
{
"positive": "court",
"negative": "field",
"change_type": "object_change"
}
] | [{"subject": "tennis player", "relation_type": "is gripping", "object": "racket", "negatives": [{"subject": "tennis player", "relation_type": "is dropping", "object": "racket", "change_type": "antonym"}, {"subject": "tennis player", "relation_type": "is not gripping", "object": "racket", "change_type": "negation"}]}, {... | [
"A court tennis grips his player and looks out over the racket .",
"over tennis player out looks racket A grips the and . court his",
"player tennis A his grips racket looks out and court the over .",
". A tennis player grips his racket over the court and looks out"
] |
coco_59879_359851 | A couple of men on a court with a tennis racket. | datasets/COCO/train2014/COCO_train2014_000000432683.jpg | [
"a couple of men",
"court",
"tennis racket"
] | [
{
"positive": "a couple of men",
"negative": "a couple of women",
"change_type": "attribute_change"
},
{
"positive": "a couple of men",
"negative": "a group of children",
"change_type": "object_change"
},
{
"positive": "court",
"negative": "field",
"change_type": "object_... | [{"subject": "a couple of men", "relation_type": "are on", "object": "court", "negatives": [{"subject": "a couple of men", "relation_type": "are under", "object": "court", "change_type": "antonym"}, {"subject": "a couple of men", "relation_type": "are not on", "object": "court", "change_type": "negation"}, {"subject": ... | [
"A tennis of couple on a men with a court racket .",
"A couple on men with a court . a tennis racket of",
"couple A of a on men a with court . racket tennis",
"men on a tennis racket . court with a A couple of"
] |
coco_59880_73003 | Two men standing on a tennis court playing a game of tennis. | datasets/COCO/train2014/COCO_train2014_000000336935.jpg | [
"two men",
"tennis court",
"game of tennis"
] | [
{
"positive": "two men",
"negative": "two women",
"change_type": "attribute_change"
},
{
"positive": "two men",
"negative": "two children",
"change_type": "object_change"
},
{
"positive": "tennis court",
"negative": "basketball court",
"change_type": "object_change"
},
... | [{"subject": "two men", "relation_type": "are standing on", "object": "tennis court", "negatives": [{"subject": "two men", "relation_type": "are sitting on", "object": "tennis court", "change_type": "antonym"}, {"subject": "two men", "relation_type": "are not standing on", "object": "tennis court", "change_type": "nega... | [
"Two men standing on a court tennis playing a game of tennis .",
"a men on Two a tennis court of playing game standing tennis .",
"men Two standing a tennis on a playing court of tennis game .",
"Two men standing on a tennis court playing a . game of tennis"
] |
coco_59880_77536 | Two male tennis players are playing in a tennis game, they are both wearing white. | datasets/COCO/train2014/COCO_train2014_000000336935.jpg | [
"two male tennis players",
"tennis game",
"white"
] | [
{
"positive": "two male tennis players",
"negative": "two female tennis players",
"change_type": "attribute_change"
},
{
"positive": "two male tennis players",
"negative": "two male basketball players",
"change_type": "object_change"
},
{
"positive": "tennis game",
"negative"... | [{"subject": "two male tennis players", "relation_type": "are playing in", "object": "tennis game", "negatives": [{"subject": "two male tennis players", "relation_type": "are not playing in", "object": "tennis game", "change_type": "negation"}, {"subject": "tennis game", "relation_type": "are playing in", "object": "tw... | [
"Two tennis male tennis are playing in a players game , they are both wearing white .",
"wearing male tennis players they both playing are tennis game in , . are a white Two",
"tennis male Two are playing players a in tennis game they , both are wearing . white",
"in a tennis Two male tennis game , they playe... |
coco_59880_80497 | Two men in white play a tennis match. | datasets/COCO/train2014/COCO_train2014_000000336935.jpg | [
"two men in white",
"tennis match"
] | [
{
"positive": "two men in white",
"negative": "two women in white",
"change_type": "attribute_change"
},
{
"positive": "two men in white",
"negative": "two men in black",
"change_type": "attribute_change"
},
{
"positive": "tennis match",
"negative": "basketball game",
"ch... | [{"subject": "two men in white", "relation_type": "are playing", "object": "tennis match", "negatives": [{"subject": "two men in white", "relation_type": "are not playing", "object": "tennis match", "change_type": "negation"}, {"subject": "tennis match", "relation_type": "are playing", "object": "two men in white", "ch... | [
"Two tennis in men play a white match .",
"in men a white play . tennis match Two",
"in Two men white play a tennis match .",
"white play a tennis match . Two men in"
] |
coco_59880_80797 | Two opposing tennis players are mirroring movements in race for the ball. | datasets/COCO/train2014/COCO_train2014_000000336935.jpg | [
"two opposing tennis players",
"ball"
] | [
{
"positive": "two opposing tennis players",
"negative": "two opposing soccer players",
"change_type": "object_change"
},
{
"positive": "two opposing tennis players",
"negative": "one tennis player",
"change_type": "attribute_change"
},
{
"positive": "ball",
"negative": "rack... | [{"subject": "two opposing tennis players", "relation_type": "are mirroring movements in race for", "object": "ball", "negatives": [{"subject": "two opposing tennis players", "relation_type": "are not mirroring movements in race for", "object": "ball", "change_type": "negation"}, {"subject": "two opposing tennis player... | [
"Two opposing race tennis are mirroring ball in players for the movements .",
"are mirroring tennis players the . movements Two race in for ball opposing",
"Two tennis opposing mirroring are players movements in race the for ball .",
"Two opposing tennis movements in race . for the ball players are mirroring"... |
coco_59880_83311 | two boys wearing white are competing in a tennis match | datasets/COCO/train2014/COCO_train2014_000000336935.jpg | [
"two boys wearing white",
"tennis match"
] | [
{
"positive": "two boys wearing white",
"negative": "two girls wearing white",
"change_type": "attribute_change"
},
{
"positive": "two boys wearing white",
"negative": "two boys wearing black",
"change_type": "attribute_change"
},
{
"positive": "tennis match",
"negative": "ba... | [{"subject": "two boys wearing white", "relation_type": "are competing in", "object": "tennis match", "negatives": [{"subject": "two boys wearing white", "relation_type": "are not competing in", "object": "tennis match", "change_type": "negation"}, {"subject": "tennis match", "relation_type": "are competing in", "objec... | [
"two tennis wearing white are competing in a boys match",
"a boys competing white wearing are two in tennis match",
"two wearing boys competing white are in tennis a match",
"in a tennis match white are competing two boys wearing"
] |
coco_59881_360082 | Four men cup hands over the net in a tennis court. | datasets/COCO/train2014/COCO_train2014_000000486606.jpg | [
"four men",
"net",
"tennis court"
] | [
{
"positive": "four men",
"negative": "three men",
"change_type": "attribute_change"
},
{
"positive": "four men",
"negative": "four women",
"change_type": "attribute_change"
},
{
"positive": "tennis court",
"negative": "golf course",
"change_type": "object_change"
}
] | [{"subject": "four men", "relation_type": "are cupping hands over", "object": "net", "negatives": [{"subject": "four men", "relation_type": "are not cupping hands over", "object": "net", "change_type": "negation"}, {"subject": "four men", "relation_type": "are spreading hands away from", "object": "net", "change_type":... | [
"Four tennis men hands over the court in a net cup .",
"Four men cup the . over net a in tennis court hands",
"cup men Four over hands the in net a court tennis .",
"net in a tennis court . hands over the Four men cup"
] |
coco_59881_360529 | Men's doubles tennis players shaking hands on the court | datasets/COCO/train2014/COCO_train2014_000000486606.jpg | [
"men's doubles tennis players",
"court"
] | [
{
"positive": "men's doubles tennis players",
"negative": "men's singles tennis players",
"change_type": "attribute_change"
},
{
"positive": "court",
"negative": "field",
"change_type": "object_change"
}
] | [{"subject": "men's doubles tennis players", "relation_type": "are shaking hands on", "object": "court", "negatives": [{"subject": "men's doubles tennis players", "relation_type": "are not shaking hands on", "object": "court", "change_type": "negation"}, {"subject": "court", "relation_type": "are shaking hands on", "ob... | [
"players 's doubles Men court shaking tennis on the hands",
"Men shaking 's tennis players doubles hands on the court",
"'s doubles Men players tennis shaking on the hands court",
"tennis players shaking Men 's doubles hands on the court"
] |
coco_59881_363184 | A group of tennis players shake hands over the net. | datasets/COCO/train2014/COCO_train2014_000000486606.jpg | [
"group of tennis players",
"net"
] | [
{
"positive": "group of tennis players",
"negative": "group of soccer players",
"change_type": "object_change"
},
{
"positive": "net",
"negative": "goal",
"change_type": "object_change"
}
] | [{"subject": "group of tennis players", "relation_type": "is shaking hands over", "object": "net", "negatives": [{"subject": "group of tennis players", "relation_type": "is not shaking hands over", "object": "net", "change_type": "negation"}, {"subject": "group of tennis players", "relation_type": "is shaking hands und... | [
"A tennis of hands players shake net over the group .",
"A group the tennis players . hands of over net shake",
"of A group tennis players shake hands over the . net",
"A group of hands over the net . tennis players shake"
] |
coco_59881_363577 | four tennis players on a field embracing each other | datasets/COCO/train2014/COCO_train2014_000000486606.jpg | [
"four tennis players",
"field"
] | [
{
"positive": "four tennis players",
"negative": "three tennis players",
"change_type": "attribute_change"
},
{
"positive": "four tennis players",
"negative": "four basketball players",
"change_type": "object_change"
}
] | [{"subject": "four tennis players", "relation_type": "are on", "object": "field", "negatives": [{"subject": "four tennis players", "relation_type": "are off", "object": "field", "change_type": "antonym"}, {"subject": "four tennis players", "relation_type": "are not on", "object": "field", "change_type": "negation"}, {"... | [
"four other tennis on a players embracing each field",
"each tennis players four embracing field a on other",
"tennis four players a field on other embracing each"
] |
coco_59881_363661 | Four male tennis players have a group handshake. | datasets/COCO/train2014/COCO_train2014_000000486606.jpg | [
"four male tennis players",
"group handshake"
] | [
{
"positive": "four male tennis players",
"negative": "three female tennis players",
"change_type": "attribute_change"
},
{
"positive": "four male tennis players",
"negative": "four male runners",
"change_type": "object_change"
},
{
"positive": "group handshake",
"negative": ... | [{"subject": "four male tennis players", "relation_type": "have", "object": "group handshake", "negatives": [{"subject": "four male tennis players", "relation_type": "do not have", "object": "group handshake", "change_type": "negation"}]}] | [
"Four tennis male group have a players handshake .",
"Four male tennis players . a group handshake have",
"Four male tennis a have players handshake . group",
"Four male tennis group handshake . players have a"
] |
coco_59882_310650 | A man reaching up with a tennis racket and swinging it. | datasets/COCO/train2014/COCO_train2014_000000455227.jpg | [
"man",
"tennis racket"
] | [
{
"positive": "tennis racket",
"negative": "golf club",
"change_type": "object_change"
},
{
"positive": "tennis racket",
"negative": "tennis ball",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is reaching up with", "object": "tennis racket", "negatives": [{"subject": "man", "relation_type": "is reaching down with", "object": "tennis racket", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not reaching up with", "object": "tennis racket", "change_type":... | [
"A man reaching up with a racket tennis and swinging it .",
"a man with A swinging reaching tennis racket and . it up",
"reaching man A a up with tennis and racket it . swinging",
"swinging it . tennis racket and A man reaching up with a"
] |
coco_59882_311358 | A man in white shirt and blue shorts playing a game of tennis. | datasets/COCO/train2014/COCO_train2014_000000455227.jpg | [
"man in white shirt and blue shorts",
"game of tennis"
] | [
{
"positive": "man in white shirt and blue shorts",
"negative": "man in black shirt and red shorts",
"change_type": "attribute_change"
}
] | [{"subject": "man in white shirt and blue shorts", "relation_type": "is playing", "object": "game of tennis", "negatives": [{"subject": "man in white shirt and blue shorts", "relation_type": "is not playing", "object": "game of tennis", "change_type": "negation"}, {"subject": "man in white shirt and blue shorts", "rela... | [
"A blue in game tennis and white man playing a shorts of shirt .",
"A man in white shirt of blue shorts and playing game . tennis a",
"A in man white shirt and blue shorts playing game of a tennis .",
"A man in white shirt and a game of tennis . blue shorts playing"
] |
coco_59882_311739 | A man swatting at a tennis ball with a racket. | datasets/COCO/train2014/COCO_train2014_000000455227.jpg | [
"man",
"tennis ball",
"racket"
] | [
{
"positive": "tennis ball",
"negative": "basketball",
"change_type": "object_change"
},
{
"positive": "racket",
"negative": "bat",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is swatting at", "object": "tennis ball", "negatives": [{"subject": "man", "relation_type": "is not swatting at", "object": "tennis ball", "change_type": "negation"}, {"subject": "man", "relation_type": "is avoiding", "object": "tennis ball", "change_type": "antonym"}]}, {"subject"... | [
"A racket swatting at a ball tennis with a man .",
"with man swatting a . tennis ball A a racket at",
"A man swatting at tennis a ball a with . racket",
"ball with a A man swatting at a tennis racket ."
] |
coco_59882_311787 | A man with a tennis racket at a tennis court. | datasets/COCO/train2014/COCO_train2014_000000455227.jpg | [
"man",
"tennis racket",
"tennis court"
] | [
{
"positive": "tennis racket",
"negative": "golf club",
"change_type": "object_change"
},
{
"positive": "tennis racket",
"negative": "tennis ball",
"change_type": "object_change"
},
{
"positive": "tennis court",
"negative": "golf course",
"change_type": "object_change"
... | [{"subject": "man", "relation_type": "is with", "object": "tennis racket", "negatives": [{"subject": "man", "relation_type": "is without", "object": "tennis racket", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not with", "object": "tennis racket", "change_type": "negation"}]}, {"subject": "man", ... | [
"A tennis with a tennis racket at a man court .",
"A man at a tennis racket with . tennis court a",
"A man with racket a tennis tennis at a . court",
"at a tennis A man with a tennis racket court ."
] |
coco_59882_313203 | The tennis player is swinging his racket during a serve. | datasets/COCO/train2014/COCO_train2014_000000455227.jpg | [
"tennis player",
"racket"
] | [
{
"positive": "tennis player",
"negative": "golfer",
"change_type": "object_change"
},
{
"positive": "racket",
"negative": "bat",
"change_type": "object_change"
}
] | [{"subject": "tennis player", "relation_type": "is swinging", "object": "racket", "negatives": [{"subject": "tennis player", "relation_type": "is not swinging", "object": "racket", "change_type": "negation"}, {"subject": "tennis player", "relation_type": "is dropping", "object": "racket", "change_type": "antonym"}]}] | [
"The racket tennis is swinging his serve during a player .",
"is tennis player his during a racket swinging . serve The",
"player The tennis is his swinging during a racket . serve",
"is swinging his racket during a serve . The tennis player"
] |
coco_59883_574462 | A vase filled with red roses sitting under an arch. | datasets/COCO/train2014/COCO_train2014_000000023177.jpg | [
"vase",
"red roses",
"arch"
] | [
{
"positive": "red roses",
"negative": "white roses",
"change_type": "attribute_change"
},
{
"positive": "red roses",
"negative": "red tulips",
"change_type": "object_change"
}
] | [{"subject": "vase", "relation_type": "is filled with", "object": "red roses", "negatives": [{"subject": "vase", "relation_type": "is empty of", "object": "red roses", "change_type": "antonym"}, {"subject": "vase", "relation_type": "is not filled with", "object": "red roses", "change_type": "negation"}]}, {"subject": "... | [
"A arch filled with roses red sitting under an vase .",
"sitting vase A under red roses filled with . arch an",
"A vase filled with roses red an under sitting arch .",
"A vase filled sitting under an with red roses arch ."
] |
coco_59883_574963 | An archway with a potted germanium in front of a window. | datasets/COCO/train2014/COCO_train2014_000000023177.jpg | [
"archway",
"potted germanium",
"window"
] | [
{
"positive": "archway",
"negative": "doorway",
"change_type": "object_change"
},
{
"positive": "potted germanium",
"negative": "potted fern",
"change_type": "object_change"
},
{
"positive": "potted germanium",
"negative": "potted cactus",
"change_type": "object_change"
... | [{"subject": "potted germanium", "relation_type": "is in front of", "object": "window", "negatives": [{"subject": "potted germanium", "relation_type": "is behind", "object": "window", "change_type": "antonym"}, {"subject": "potted germanium", "relation_type": "is not in front of", "object": "window", "change_type": "ne... | [
"An germanium with a window front in archway of a potted .",
"a archway in with potted germanium An front . a window of",
"archway An with potted a germanium front of in window . a",
"in front of a window . An archway with a potted germanium"
] |
coco_59883_578404 | A vase that is placed outside of a window. | datasets/COCO/train2014/COCO_train2014_000000023177.jpg | [
"vase",
"window"
] | [
{
"positive": "vase",
"negative": "pot",
"change_type": "object_change"
},
{
"positive": "window",
"negative": "door",
"change_type": "object_change"
}
] | [{"subject": "vase", "relation_type": "is placed outside of", "object": "window", "negatives": [{"subject": "vase", "relation_type": "is placed inside of", "object": "window", "change_type": "antonym"}, {"subject": "vase", "relation_type": "is not placed outside of", "object": "window", "change_type": "negation"}, {"su... | [
"A window that is placed outside of a vase .",
"a vase is placed outside of . A window that",
"that vase A placed is outside of a window .",
"is placed outside of a window . A vase that"
] |
coco_59883_578419 | a vase with some flowers in it is outside | datasets/COCO/train2014/COCO_train2014_000000023177.jpg | [
"vase",
"flowers",
"vase with some flowers"
] | [
{
"positive": "vase",
"negative": "pot",
"change_type": "object_change"
},
{
"positive": "flowers",
"negative": "plants",
"change_type": "object_change"
}
] | [{"subject": "vase with some flowers", "relation_type": "is outside", "object": "nothing", "negatives": [{"subject": "vase with some flowers", "relation_type": "is inside", "object": "nothing", "change_type": "antonym"}, {"subject": "vase with some flowers", "relation_type": "is not outside", "object": "nothing", "chan... | [
"a flowers with some vase in it is outside",
"is vase some in flowers it a with outside",
"with vase a some flowers in outside is it",
"some flowers in a vase with it is outside"
] |
coco_59883_579199 | Large white flower pot with red flowers displayed on ledge. | datasets/COCO/train2014/COCO_train2014_000000023177.jpg | [
"Large white flower pot",
"red flowers",
"ledge"
] | [
{
"positive": "Large white flower pot",
"negative": "Small black flower pot",
"change_type": "attribute_change"
},
{
"positive": "Large white flower pot",
"negative": "Large white birdcage",
"change_type": "object_change"
},
{
"positive": "red flowers",
"negative": "blue flow... | [{"subject": "Large white flower pot", "relation_type": "is displaying", "object": "red flowers", "negatives": [{"subject": "Large white flower pot", "relation_type": "is not displaying", "object": "red flowers", "change_type": "negation"}, {"subject": "Large white flower pot", "relation_type": "is hiding", "object": "... | [
"red flowers pot ledge with white Large displayed on flower .",
"Large white flower pot with red flowers . displayed ledge on",
"white flower Large with pot red flowers displayed on . ledge",
"pot with red flowers displayed on ledge . Large white flower"
] |
coco_59884_1934 | A lap top sits on a desk in front of a monitor while two other monitors are set up on the other side of the room. | datasets/COCO/train2014/COCO_train2014_000000044138.jpg | [
"lap top",
"desk",
"monitor",
"two other monitors",
"room"
] | [
{
"positive": "lap top",
"negative": "laptop",
"change_type": "attribute_change"
},
{
"positive": "lap top",
"negative": "tablet",
"change_type": "object_change"
},
{
"positive": "desk",
"negative": "table",
"change_type": "object_change"
},
{
"positive": "desk",
... | [{"subject": "lap top", "relation_type": "is sitting on", "object": "desk", "negatives": [{"subject": "lap top", "relation_type": "is standing on", "object": "desk", "change_type": "antonym"}, {"subject": "lap top", "relation_type": "is under", "object": "desk", "change_type": "antonym"}, {"subject": "lap top", "relati... | [
"A side top sits on a room in front of a monitor while two other other are set up on the lap monitors of the desk .",
"the lap top while the . desk are front sits two monitor set a other monitors on of up on of other side A a room in",
"A top lap on a sits front in desk a of monitor other while two set are moni... |
coco_59884_2831 | A set of computers and monitors in a living room. | datasets/COCO/train2014/COCO_train2014_000000044138.jpg | [
"set of computers",
"monitors",
"living room"
] | [
{
"positive": "set of computers",
"negative": "set of televisions",
"change_type": "object_change"
},
{
"positive": "monitors",
"negative": "televisions",
"change_type": "object_change"
},
{
"positive": "living room",
"negative": "kitchen",
"change_type": "object_change"
... | [{"subject": "set of computers", "relation_type": "is in", "object": "living room", "negatives": [{"subject": "set of computers", "relation_type": "is not in", "object": "living room", "change_type": "negation"}, {"subject": "set of computers", "relation_type": "is outside", "object": "living room", "change_type": "ant... | [
"A computers of room and monitors in a living set .",
"a set in computers and monitors A of living room .",
"set A of and monitors computers in living a . room",
"computers and monitors A set of in a living room ."
] |
coco_59884_4373 | A room filled with computers and laptops on a desk. | datasets/COCO/train2014/COCO_train2014_000000044138.jpg | [
"room",
"computers",
"laptops",
"desk"
] | [
{
"positive": "room",
"negative": "office",
"change_type": "object_change"
},
{
"positive": "computers",
"negative": "televisions",
"change_type": "object_change"
},
{
"positive": "laptops",
"negative": "tablets",
"change_type": "object_change"
},
{
"positive": "d... | [{"subject": "room", "relation_type": "is filled with", "object": "computers", "negatives": [{"subject": "room", "relation_type": "is empty of", "object": "computers", "change_type": "antonym"}, {"subject": "room", "relation_type": "is not filled with", "object": "computers", "change_type": "negation"}]}, {"subject": "... | [
"A room filled with computers and desk on a laptops .",
"A room a . computers and laptops filled on desk with",
"filled room A with computers and laptops a on . desk",
"with computers and A room filled desk . laptops on a"
] |
coco_59884_11201 | Man sitting in a chair in front of four computer screens. | datasets/COCO/train2014/COCO_train2014_000000044138.jpg | [
"man",
"chair",
"four computer screens"
] | [
{
"positive": "chair",
"negative": "bench",
"change_type": "object_change"
},
{
"positive": "four computer screens",
"negative": "two computer screens",
"change_type": "attribute_change"
},
{
"positive": "four computer screens",
"negative": "four televisions",
"change_typ... | [{"subject": "man", "relation_type": "is sitting in", "object": "chair", "negatives": [{"subject": "man", "relation_type": "is standing in", "object": "chair", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not sitting in", "object": "chair", "change_type": "negation"}, {"subject": "chair", "relatio... | [
"computer sitting in a Man in chair of four front screens .",
"Man in sitting of chair four front in . computer screens a",
"Man in sitting chair in a four front of . computer screens",
"front of four a chair in computer screens . Man sitting in"
] |
coco_59884_819883 | The man is using one computer while three other monitors are also turned on. | datasets/COCO/train2014/COCO_train2014_000000044138.jpg | [
"man",
"one computer",
"three other monitors"
] | [
{
"positive": "one computer",
"negative": "one laptop",
"change_type": "object_change"
},
{
"positive": "one computer",
"negative": "two computers",
"change_type": "attribute_change"
},
{
"positive": "three other monitors",
"negative": "two other monitors",
"change_type":... | [{"subject": "man", "relation_type": "is using", "object": "one computer", "negatives": [{"subject": "man", "relation_type": "is not using", "object": "one computer", "change_type": "negation"}, {"subject": "man", "relation_type": "is turning off", "object": "one computer", "change_type": "antonym"}]}, {"subject": "thr... | [
"The man is using one monitors while three other computer are also turned on .",
"while man one The . computer are using other monitors also is on three turned",
"man is The one computer using other while three monitors are also turned . on",
"using one computer while three other The man is turned on . monito... |
coco_59885_446219 | A woman talking on a cell phone while sitting outside on some stairs | datasets/COCO/train2014/COCO_train2014_000000452781.jpg | [
"woman",
"cell phone",
"stairs"
] | [
{
"positive": "cell phone",
"negative": "headphones",
"change_type": "object_change"
},
{
"positive": "stairs",
"negative": "bench",
"change_type": "object_change"
}
] | [{"subject": "woman", "relation_type": "is talking on", "object": "cell phone", "negatives": [{"subject": "woman", "relation_type": "is not talking on", "object": "cell phone", "change_type": "negation"}]}, {"subject": "woman", "relation_type": "is sitting on", "object": "stairs", "negatives": [{"subject": "woman", "re... | [
"A stairs talking on a phone woman while sitting outside on some cell",
"a woman some on on cell phone sitting A talking while outside stairs",
"A talking woman a cell on sitting while phone some outside on stairs",
"A woman talking on a cell outside on some stairs phone while sitting"
] |
coco_59885_447851 | A young woman is sitting on the steps in front of a building and talking on a cell phone. | datasets/COCO/train2014/COCO_train2014_000000452781.jpg | [
"young woman",
"steps",
"building",
"cell phone"
] | [
{
"positive": "young woman",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "young woman",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "building",
"negative": "bridge",
"change_type": "object_change"
},
{
... | [{"subject": "young woman", "relation_type": "is sitting on", "object": "steps", "negatives": [{"subject": "young woman", "relation_type": "is standing on", "object": "steps", "change_type": "antonym"}, {"subject": "young woman", "relation_type": "is not sitting on", "object": "steps", "change_type": "negation"}, {"sub... | [
"A cell building is sitting on the young in front of a steps and talking on a phone woman .",
"talking young woman is the sitting a steps A front in on building on . of a cell phone and",
"A woman young sitting on is steps the in front of a talking and building cell on a phone .",
"building and talking phone ... |
coco_59885_455504 | A woman that is sitting on stairs talking on the phone. | datasets/COCO/train2014/COCO_train2014_000000452781.jpg | [
"woman",
"stairs",
"phone"
] | [
{
"positive": "woman",
"negative": "child",
"change_type": "object_change"
},
{
"positive": "stairs",
"negative": "bench",
"change_type": "object_change"
},
{
"positive": "phone",
"negative": "laptop",
"change_type": "object_change"
},
{
"positive": "phone",
"... | [{"subject": "woman", "relation_type": "is sitting on", "object": "stairs", "negatives": [{"subject": "woman", "relation_type": "is standing on", "object": "stairs", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not sitting on", "object": "stairs", "change_type": "negation"}, {"subject": "stairs"... | [
"A phone that is sitting on stairs talking on the woman .",
". woman that A sitting is stairs the on on phone talking",
"A that woman on sitting is on stairs talking the phone .",
"the phone . is sitting on stairs talking on A woman that"
] |
coco_59885_458606 | A girl is sitting on some steps talking on a phone. | datasets/COCO/train2014/COCO_train2014_000000452781.jpg | [
"girl",
"steps",
"phone"
] | [
{
"positive": "girl",
"negative": "boy",
"change_type": "attribute_change"
},
{
"positive": "girl",
"negative": "man",
"change_type": "attribute_change"
},
{
"positive": "girl",
"negative": "woman",
"change_type": "attribute_change"
},
{
"positive": "phone",
"... | [{"subject": "girl", "relation_type": "is sitting on", "object": "steps", "negatives": [{"subject": "girl", "relation_type": "is standing on", "object": "steps", "change_type": "antonym"}, {"subject": "girl", "relation_type": "is under", "object": "steps", "change_type": "antonym"}, {"subject": "girl", "relation_type":... | [
"A phone is sitting on some girl talking on a steps .",
"talking girl A sitting a is steps some on . phone on",
"girl is A sitting some on steps talking on phone a .",
"sitting on some steps talking on A girl is a phone ."
] |
coco_59885_818950 | A woman sitting on concrete stairs talking on her cell phone. | datasets/COCO/train2014/COCO_train2014_000000452781.jpg | [
"woman",
"concrete stairs",
"cell phone"
] | [
{
"positive": "woman",
"negative": "child",
"change_type": "object_change"
},
{
"positive": "concrete stairs",
"negative": "wooden stairs",
"change_type": "attribute_change"
},
{
"positive": "concrete stairs",
"negative": "concrete bench",
"change_type": "object_change"
... | [{"subject": "woman", "relation_type": "is sitting on", "object": "concrete stairs", "negatives": [{"subject": "woman", "relation_type": "is standing on", "object": "concrete stairs", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is under", "object": "concrete stairs", "change_type": "antonym"}, {"s... | [
"A woman sitting on concrete stairs talking on her cell phone .",
". woman her sitting concrete stairs on A on cell phone talking",
"woman A sitting stairs concrete on talking on her cell phone .",
"A woman sitting cell phone . talking on her on concrete stairs"
] |
coco_59886_784690 | a big clock at the top of a stadium | datasets/COCO/train2014/COCO_train2014_000000111671.jpg | [
"big clock",
"stadium"
] | [
{
"positive": "big clock",
"negative": "small clock",
"change_type": "attribute_change"
},
{
"positive": "big clock",
"negative": "big tower",
"change_type": "object_change"
},
{
"positive": "stadium",
"negative": "mountain",
"change_type": "object_change"
}
] | [{"subject": "big clock", "relation_type": "is at the top of", "object": "stadium", "negatives": [{"subject": "big clock", "relation_type": "is at the bottom of", "object": "stadium", "change_type": "antonym"}, {"subject": "big clock", "relation_type": "is not at the top of", "object": "stadium", "change_type": "negati... | [
"a top clock at the stadium of a big",
"a big clock a of top the at stadium",
"clock big a at the top stadium of a"
] |
coco_59886_785068 | A clock sits upon a wall of iron grating. | datasets/COCO/train2014/COCO_train2014_000000111671.jpg | [
"clock",
"wall of iron grating"
] | [
{
"positive": "clock",
"negative": "mirror",
"change_type": "object_change"
},
{
"positive": "wall of iron grating",
"negative": "wall of wooden planks",
"change_type": "attribute_change"
},
{
"positive": "wall of iron grating",
"negative": "wall of concrete blocks",
"cha... | [{"subject": "clock", "relation_type": "is sitting on", "object": "wall of iron grating", "negatives": [{"subject": "clock", "relation_type": "is standing on", "object": "wall of iron grating", "change_type": "antonym"}, {"subject": "clock", "relation_type": "is under", "object": "wall of iron grating", "change_type": ... | [
"A grating sits upon a clock of wall iron .",
". clock upon sits a wall of iron grating A",
"A clock sits wall a upon iron grating of .",
"A clock sits . upon a wall of iron grating"
] |
coco_59886_785995 | An Baltimore Orioles clock during the daytime hours. | datasets/COCO/train2014/COCO_train2014_000000111671.jpg | [
"An Baltimore Orioles clock",
"daytime hours"
] | [
{
"positive": "An Baltimore Orioles clock",
"negative": "A Seattle Mariners clock",
"change_type": "object_change"
},
{
"positive": "An Baltimore Orioles clock",
"negative": "A Baltimore Orioles clock at night",
"change_type": "attribute_change"
},
{
"positive": "daytime hours",
... | [{"subject": "An Baltimore Orioles clock", "relation_type": "is during", "object": "daytime hours", "negatives": [{"subject": "An Baltimore Orioles clock", "relation_type": "is not during", "object": "daytime hours", "change_type": "negation"}, {"subject": "An Baltimore Orioles clock", "relation_type": "is during night... | [
"An clock Baltimore hours during the Orioles daytime .",
". Baltimore Orioles clock An the daytime hours during",
"Orioles Baltimore An clock the during daytime . hours",
"daytime hours . clock during the An Baltimore Orioles"
] |
coco_59886_790786 | The baseball marquee includes a very large clock. | datasets/COCO/train2014/COCO_train2014_000000111671.jpg | [
"baseball marquee",
"very large clock"
] | [
{
"positive": "baseball marquee",
"negative": "football marquee",
"change_type": "object_change"
},
{
"positive": "baseball marquee",
"negative": "baseball scoreboard",
"change_type": "attribute_change"
},
{
"positive": "very large clock",
"negative": "small clock",
"chan... | [{"subject": "baseball marquee", "relation_type": "includes", "object": "very large clock", "negatives": [{"subject": "baseball marquee", "relation_type": "excludes", "object": "very large clock", "change_type": "antonym"}, {"subject": "baseball marquee", "relation_type": "does not include", "object": "very large clock... | [
"The large baseball includes a very clock marquee .",
"very baseball marquee a . includes large clock The",
"The marquee baseball a includes very . large clock",
"large clock . The baseball marquee includes a very"
] |
coco_59886_791083 | A wrought iron gate with a message and a large clock. | datasets/COCO/train2014/COCO_train2014_000000111671.jpg | [
"wrought iron gate",
"message",
"large clock"
] | [
{
"positive": "wrought iron gate",
"negative": "wooden gate",
"change_type": "object_change"
},
{
"positive": "wrought iron gate",
"negative": "wrought iron fence",
"change_type": "object_change"
},
{
"positive": "message",
"negative": "a wooden gate with a sign and a small l... | [{"subject": "wrought iron gate", "relation_type": "has", "object": "message", "negatives": [{"subject": "wrought iron gate", "relation_type": "does not have", "object": "message", "change_type": "negation"}, {"subject": "wrought iron gate", "relation_type": "is without", "object": "message", "change_type": "antonym"}]... | [
"A wrought large message with a clock and a gate iron .",
"with wrought iron gate a and message . A large clock a",
"wrought iron A with gate a a and message . clock large",
"gate with a message and a large clock . A wrought iron"
] |
coco_59887_40377 | A large clock with "orioles" written above it. | datasets/COCO/train2014/COCO_train2014_000000117684.jpg | [
"large clock",
"orioles"
] | [
{
"positive": "large clock",
"negative": "small clock",
"change_type": "attribute_change"
},
{
"positive": "large clock",
"negative": "large mirror",
"change_type": "object_change"
},
{
"positive": "orioles",
"negative": "tigers",
"change_type": "object_change"
}
] | [{"subject": "large clock", "relation_type": "has", "object": "orioles", "negatives": [{"subject": "large clock", "relation_type": "is without", "object": "orioles", "change_type": "antonym"}, {"subject": "large clock", "relation_type": "does not have", "object": "orioles", "change_type": "negation"}]}] | [
"A orioles large with \" clock \" written above it .",
". large clock A written orioles \" it above with \"",
"clock large A orioles with `` written above '' it .",
"'' written above A large clock with `` orioles it ."
] |
coco_59887_41664 | A close up image of a large clock face. | datasets/COCO/train2014/COCO_train2014_000000117684.jpg | [
"close up image",
"large clock face"
] | [
{
"positive": "large clock face",
"negative": "small clock face",
"change_type": "attribute_change"
},
{
"positive": "large clock face",
"negative": "large calendar",
"change_type": "object_change"
}
] | [{"subject": "close up image", "relation_type": "is of", "object": "large clock face", "negatives": [{"subject": "close up image", "relation_type": "is not of", "object": "large clock face", "change_type": "negation"}, {"subject": "large clock face", "relation_type": "is of", "object": "close up image", "change_type": ... | [
"A close up image of a face large clock .",
"A close . image a of large clock face up",
"A up close of image a face large clock .",
"A close up . large clock face image of a"
] |
coco_59887_42090 | A large lighted clock for the Baltimore Orioles. | datasets/COCO/train2014/COCO_train2014_000000117684.jpg | [
"large lighted clock",
"Baltimore Orioles"
] | [
{
"positive": "large lighted clock",
"negative": "small lighted clock",
"change_type": "attribute_change"
},
{
"positive": "large lighted clock",
"negative": "large lighted fan",
"change_type": "object_change"
},
{
"positive": "Baltimore Orioles",
"negative": "Baltimore Raven... | [{"subject": "large lighted clock", "relation_type": "is for", "object": "Baltimore Orioles", "negatives": [{"subject": "large lighted clock", "relation_type": "is not for", "object": "Baltimore Orioles", "change_type": "negation"}, {"subject": "Baltimore Orioles", "relation_type": "is for", "object": "large lighted cl... | [
"A clock lighted large for the Baltimore Orioles .",
". large for clock lighted the Baltimore Orioles A",
"large A lighted for clock the Orioles . Baltimore",
"Baltimore Orioles . clock for the A large lighted"
] |
coco_59887_42627 | Photo of clock with the word Orioles above. | datasets/COCO/train2014/COCO_train2014_000000117684.jpg | [
"clock",
"Orioles"
] | [
{
"positive": "clock",
"negative": "watch",
"change_type": "object_change"
},
{
"positive": "clock",
"negative": "hourglass",
"change_type": "object_change"
},
{
"positive": "Orioles",
"negative": "Blue Jays",
"change_type": "object_change"
},
{
"positive": "Oriol... | [{"subject": "clock", "relation_type": "has", "object": "Orioles", "negatives": [{"subject": "clock", "relation_type": "is without", "object": "Orioles", "change_type": "antonym"}, {"subject": "clock", "relation_type": "does not have", "object": "Orioles", "change_type": "negation"}]}] | [
"clock of Orioles with the Photo word above .",
"Photo the clock of above word Orioles with .",
"clock of Photo the word with . above Orioles",
"Orioles above . with the word Photo of clock"
] |
coco_59887_47205 | A large clock with a red neon sign above it. | datasets/COCO/train2014/COCO_train2014_000000117684.jpg | [
"large clock",
"red neon sign"
] | [
{
"positive": "large clock",
"negative": "small clock",
"change_type": "attribute_change"
},
{
"positive": "large clock",
"negative": "large lamp",
"change_type": "object_change"
},
{
"positive": "red neon sign",
"negative": "blue neon sign",
"change_type": "attribute_cha... | [{"subject": "red neon sign", "relation_type": "is above", "object": "large clock", "negatives": [{"subject": "red neon sign", "relation_type": "is below", "object": "large clock", "change_type": "antonym"}, {"subject": "red neon sign", "relation_type": "is not above", "object": "large clock", "change_type": "negation"... | [
"A large clock with a red neon sign above it .",
"above large clock . A red neon sign with it a",
"large A clock with red a above neon sign . it",
"neon sign above with a red A large clock it ."
] |
coco_59888_123328 | a black and red sign and a yellow clock | datasets/COCO/train2014/COCO_train2014_000000490598.jpg | [
"a black and red sign",
"a yellow clock"
] | [
{
"positive": "a black and red sign",
"negative": "a black and blue sign",
"change_type": "attribute_change"
},
{
"positive": "a black and red sign",
"negative": "a green and red flag",
"change_type": "object_change"
},
{
"positive": "a yellow clock",
"negative": "a blue cloc... | [] | [
"a red and black clock and a yellow sign",
"a black a red sign and and yellow clock",
"and black a sign red and clock yellow a"
] |
coco_59888_126346 | A large clock on top of a base | datasets/COCO/train2014/COCO_train2014_000000490598.jpg | [
"large clock",
"base"
] | [
{
"positive": "large clock",
"negative": "small clock",
"change_type": "attribute_change"
},
{
"positive": "large clock",
"negative": "large lamp",
"change_type": "object_change"
}
] | [{"subject": "large clock", "relation_type": "is on top of", "object": "base", "negatives": [{"subject": "large clock", "relation_type": "is under", "object": "base", "change_type": "antonym"}, {"subject": "large clock", "relation_type": "is not on top of", "object": "base", "change_type": "negation"}, {"subject": "bas... | [
"A top large on base of a clock",
"of large clock on top A a base",
"large A clock on of top a base",
"A large clock a base on top of"
] |
coco_59888_134797 | an iron building sign for The Sun with a clock on top | datasets/COCO/train2014/COCO_train2014_000000490598.jpg | [
"iron building sign for The Sun",
"clock"
] | [
{
"positive": "iron building sign for The Sun",
"negative": "wooden building sign for The Moon",
"change_type": "attribute_change"
},
{
"positive": "clock",
"negative": "lamp",
"change_type": "object_change"
}
] | [{"subject": "clock", "relation_type": "is on top of", "object": "iron building sign for The Sun", "negatives": [{"subject": "clock", "relation_type": "is below", "object": "iron building sign for The Sun", "change_type": "antonym"}, {"subject": "clock", "relation_type": "is not on top of", "object": "iron building sig... | [
"an building top sign for The iron with a clock on Sun",
"an iron building sign on The Sun for with clock a top",
"an iron building for sign The Sun a with top clock on",
"clock on top an iron building sign for The Sun with a"
] |
coco_59888_135514 | Baltimore Orioles stadium clock over steel girders during the day. | datasets/COCO/train2014/COCO_train2014_000000490598.jpg | [
"Baltimore Orioles stadium clock",
"steel girders",
"day"
] | [
{
"positive": "steel girders",
"negative": "wooden beams",
"change_type": "attribute_change"
},
{
"positive": "steel girders",
"negative": "concrete pillars",
"change_type": "object_change"
},
{
"positive": "day",
"negative": "night",
"change_type": "attribute_change"
}... | [{"subject": "Baltimore Orioles stadium clock", "relation_type": "is over", "object": "steel girders", "negatives": [{"subject": "Baltimore Orioles stadium clock", "relation_type": "is under", "object": "steel girders", "change_type": "antonym"}, {"subject": "Baltimore Orioles stadium clock", "relation_type": "is not o... | [
"girders day stadium Orioles over clock steel during the Baltimore .",
"Baltimore Orioles stadium clock . steel girders over during day the",
"stadium Baltimore Orioles clock steel over the during girders day .",
"Baltimore Orioles stadium day . clock over steel girders during the"
] |
coco_59888_136027 | A clock that is on top of a wall. | datasets/COCO/train2014/COCO_train2014_000000490598.jpg | [
"clock",
"wall"
] | [
{
"positive": "clock",
"negative": "mirror",
"change_type": "object_change"
},
{
"positive": "wall",
"negative": "floor",
"change_type": "object_change"
},
{
"positive": "wall",
"negative": "table",
"change_type": "object_change"
}
] | [{"subject": "clock", "relation_type": "is on top of", "object": "wall", "negatives": [{"subject": "clock", "relation_type": "is under", "object": "wall", "change_type": "antonym"}, {"subject": "clock", "relation_type": "is not on top of", "object": "wall", "change_type": "negation"}, {"subject": "wall", "relation_type... | [
"A wall that is on top of a clock .",
"a clock is . on top that of wall A",
"A clock that on is top wall a of .",
"of a wall A clock that . is on top"
] |
coco_59889_207905 | A man sitting in a chair holding an open laptop computer. | datasets/COCO/train2014/COCO_train2014_000000415548.jpg | [
"man",
"chair",
"open laptop computer"
] | [
{
"positive": "chair",
"negative": "bench",
"change_type": "object_change"
},
{
"positive": "open laptop computer",
"negative": "closed laptop computer",
"change_type": "attribute_change"
},
{
"positive": "open laptop computer",
"negative": "open tablet computer",
"change... | [{"subject": "man", "relation_type": "is sitting in", "object": "chair", "negatives": [{"subject": "man", "relation_type": "is standing on", "object": "chair", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not sitting in", "object": "chair", "change_type": "negation"}, {"subject": "chair", "relatio... | [
"A computer sitting in a chair holding an laptop open man .",
"in man a . holding chair A sitting open laptop computer an",
"A man sitting a in chair open an holding laptop . computer",
"holding an open A man sitting in a chair laptop computer ."
] |
coco_59889_220520 | a male holding a laptop with many stickers | datasets/COCO/train2014/COCO_train2014_000000415548.jpg | [
"male",
"laptop with many stickers"
] | [
{
"positive": "laptop with many stickers",
"negative": "laptop with no stickers",
"change_type": "attribute_change"
},
{
"positive": "laptop with many stickers",
"negative": "tablet with many stickers",
"change_type": "object_change"
}
] | [{"subject": "male", "relation_type": "is holding", "object": "laptop with many stickers", "negatives": [{"subject": "male", "relation_type": "is dropping", "object": "laptop with many stickers", "change_type": "antonym"}, {"subject": "male", "relation_type": "is not holding", "object": "laptop with many stickers", "ch... | [
"a laptop holding a many with stickers male",
"a male with holding laptop a many stickers",
"holding male a with laptop a many stickers",
"a laptop with many stickers a male holding"
] |
coco_59889_235745 | A man is holding a laptop covered with stickers. | datasets/COCO/train2014/COCO_train2014_000000415548.jpg | [
"man",
"laptop covered with stickers"
] | [
{
"positive": "laptop covered with stickers",
"negative": "laptop covered with paint",
"change_type": "attribute_change"
},
{
"positive": "laptop covered with stickers",
"negative": "tablet covered with stickers",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is holding", "object": "laptop covered with stickers", "negatives": [{"subject": "man", "relation_type": "is dropping", "object": "laptop covered with stickers", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not holding", "object": "laptop covered with stickers... | [
"A man is holding a laptop covered with stickers .",
"a man A with covered laptop is . stickers holding",
"A man is holding a laptop covered stickers with .",
"covered with stickers holding a laptop . A man is"
] |
coco_59889_237500 | A man smiles behind a laptop covered in stickers. | datasets/COCO/train2014/COCO_train2014_000000415548.jpg | [
"man",
"laptop",
"stickers"
] | [
{
"positive": "laptop",
"negative": "tablet",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is behind", "object": "laptop", "negatives": [{"subject": "man", "relation_type": "is in front of", "object": "laptop", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not behind", "object": "laptop", "change_type": "negation"}, {"subject": "laptop", "relation_ty... | [
"A stickers smiles behind a man covered in laptop .",
". man A in a laptop behind smiles stickers covered",
"man smiles A a behind laptop in stickers covered .",
". behind a laptop covered in stickers A man smiles"
] |
coco_59890_657229 | A home office with three desks and three children working with computers at these desks. | datasets/COCO/train2014/COCO_train2014_000000116831.jpg | [
"home office",
"three desks",
"three children",
"computers"
] | [
{
"positive": "home office",
"negative": "school classroom",
"change_type": "object_change"
},
{
"positive": "three desks",
"negative": "one desk",
"change_type": "attribute_change"
},
{
"positive": "three desks",
"negative": "three chairs",
"change_type": "object_change"... | [{"subject": "home office", "relation_type": "has", "object": "three desks", "negatives": [{"subject": "home office", "relation_type": "is without", "object": "three desks", "change_type": "antonym"}, {"subject": "home office", "relation_type": "is not having", "object": "three desks", "change_type": "negation"}]}, {"s... | [
"A office desks with three desks and three computers working with children at these home .",
"A home office working at desks and with children three with computers . these desks three",
"A office home desks with three three children and computers with working desks at these .",
"and three children at these de... |
coco_59890_658792 | three small boys are playing on their computers | datasets/COCO/train2014/COCO_train2014_000000116831.jpg | [
"three small boys",
"computers"
] | [
{
"positive": "three small boys",
"negative": "two tall men",
"change_type": "attribute_change"
},
{
"positive": "three small boys",
"negative": "three small girls",
"change_type": "attribute_change"
}
] | [{"subject": "three small boys", "relation_type": "are playing on", "object": "computers", "negatives": [{"subject": "three small boys", "relation_type": "are not playing on", "object": "computers", "change_type": "negation"}, {"subject": "three small boys", "relation_type": "are away from", "object": "computers", "cha... | [
"three computers small are playing on their boys",
"their small boys three are playing on computers",
"small three boys are on playing computers their",
"three small boys their computers are playing on"
] |
coco_59890_659518 | Three students at computers in a small room. | datasets/COCO/train2014/COCO_train2014_000000116831.jpg | [
"three students",
"computers",
"small room"
] | [
{
"positive": "three students",
"negative": "one student",
"change_type": "attribute_change"
},
{
"positive": "three students",
"negative": "three teachers",
"change_type": "object_change"
},
{
"positive": "computers",
"negative": "televisions",
"change_type": "object_cha... | [{"subject": "three students", "relation_type": "are at", "object": "computers", "negatives": [{"subject": "three students", "relation_type": "are not at", "object": "computers", "change_type": "negation"}, {"subject": "three students", "relation_type": "are away from", "object": "computers", "change_type": "antonym"}]... | [
"Three room at small in a students computers .",
"a students in computers Three . small room at",
"at students Three computers in a . small room",
"small room . computers in a Three students at"
] |
coco_59890_660397 | A group of kids in a room all on different computers. | datasets/COCO/train2014/COCO_train2014_000000116831.jpg | [
"group of kids",
"room",
"computers"
] | [
{
"positive": "group of kids",
"negative": "group of adults",
"change_type": "object_change"
},
{
"positive": "room",
"negative": "park",
"change_type": "object_change"
},
{
"positive": "computers",
"negative": "tablets",
"change_type": "object_change"
}
] | [{"subject": "group of kids", "relation_type": "is in", "object": "room", "negatives": [{"subject": "group of kids", "relation_type": "is outside", "object": "room", "change_type": "antonym"}, {"subject": "group of kids", "relation_type": "is not in", "object": "room", "change_type": "negation"}]}, {"subject": "group o... | [
"A room of group in a computers all on different kids .",
". group A kids all on room a of different computers in",
"of A group kids in a on all room . computers different",
"kids in a A group of different computers . room all on"
] |
coco_59890_664045 | a couple of kids are sitting at computers | datasets/COCO/train2014/COCO_train2014_000000116831.jpg | [
"a couple of kids",
"computers"
] | [
{
"positive": "a couple of kids",
"negative": "a couple of adults",
"change_type": "attribute_change"
},
{
"positive": "a couple of kids",
"negative": "a group of dogs",
"change_type": "object_change"
},
{
"positive": "computers",
"negative": "tablets",
"change_type": "ob... | [{"subject": "a couple of kids", "relation_type": "are sitting at", "object": "computers", "negatives": [{"subject": "a couple of kids", "relation_type": "are standing at", "object": "computers", "change_type": "antonym"}, {"subject": "a couple of kids", "relation_type": "are not sitting at", "object": "computers", "ch... | [
"a couple of computers are sitting at kids",
"of couple at kids sitting a are computers",
"a of couple kids sitting are at computers",
"at computers kids are sitting a couple of"
] |
coco_59891_588890 | a bunch of pencils that are all grouped up | datasets/COCO/train2014/COCO_train2014_000000176178.jpg | [
"a bunch of pencils"
] | [
{
"positive": "a bunch of pencils",
"negative": "a bunch of pens",
"change_type": "object_change"
},
{
"positive": "a bunch of pencils",
"negative": "a single pencil",
"change_type": "attribute_change"
}
] | [] | [
"a pencils of bunch that are all grouped up",
"grouped bunch up pencils are a of all that",
"of a bunch pencils are that all grouped up",
"pencils that are all grouped up a bunch of"
] |
coco_59891_594884 | A bunch of pencils, markers, scissors, and other items. | datasets/COCO/train2014/COCO_train2014_000000176178.jpg | [
"A bunch of pencils",
"markers",
"scissors",
"other items"
] | [
{
"positive": "A bunch of pencils",
"negative": "a bunch of erasers",
"change_type": "object_change"
}
] | [] | [
"A bunch of markers , items , other , and pencils scissors .",
", bunch of pencils , markers . scissors and , other items A",
"of bunch A , markers pencils , , scissors items other and .",
"and other items A bunch of . , scissors , pencils , markers"
] |
coco_59891_743996 | A catchall pencil container with assortment of useful tools. | datasets/COCO/train2014/COCO_train2014_000000176178.jpg | [
"catchall pencil container",
"assortment of useful tools"
] | [
{
"positive": "catchall pencil container",
"negative": "eraser holder",
"change_type": "object_change"
},
{
"positive": "catchall pencil container",
"negative": "catchall pen container",
"change_type": "attribute_change"
},
{
"positive": "assortment of useful tools",
"negativ... | [{"subject": "catchall pencil container", "relation_type": "contains", "object": "assortment of useful tools", "negatives": [{"subject": "catchall pencil container", "relation_type": "is empty of", "object": "assortment of useful tools", "change_type": "antonym"}, {"subject": "catchall pencil container", "relation_type... | [
"A useful catchall tools with pencil of assortment container .",
"of catchall pencil container . assortment A useful tools with",
"pencil catchall A container with assortment useful tools of .",
"A catchall pencil . of useful tools container with assortment"
] |
coco_59891_744095 | There are many pencils and pens all together. | datasets/COCO/train2014/COCO_train2014_000000176178.jpg | [
"many pencils",
"many pens"
] | [
{
"positive": "many pencils",
"negative": "few pencils",
"change_type": "attribute_change"
},
{
"positive": "many pens",
"negative": "one pen",
"change_type": "attribute_change"
}
] | [{"subject": "many pencils", "relation_type": "are with", "object": "many pens", "negatives": [{"subject": "many pencils", "relation_type": "are without", "object": "many pens", "change_type": "antonym"}, {"subject": "many pencils", "relation_type": "are not with", "object": "many pens", "change_type": "negation"}]}] | [
"There are pencils pens and many all together .",
"together are many pencils There pens and all .",
"many are There pens and pencils . all together",
"pencils and pens all together . There are many"
] |
coco_59892_19093 | A cluttered desk with a laptop and discs sitting on it. | datasets/COCO/train2014/COCO_train2014_000000075647.jpg | [
"cluttered desk",
"laptop",
"discs"
] | [
{
"positive": "cluttered desk",
"negative": "empty desk",
"change_type": "attribute_change"
},
{
"positive": "cluttered desk",
"negative": "cluttered table",
"change_type": "object_change"
},
{
"positive": "laptop",
"negative": "tablet",
"change_type": "object_change"
}... | [{"subject": "laptop", "relation_type": "is sitting on", "object": "cluttered desk", "negatives": [{"subject": "laptop", "relation_type": "is standing on", "object": "cluttered desk", "change_type": "antonym"}, {"subject": "laptop", "relation_type": "is under", "object": "cluttered desk", "change_type": "antonym"}, {"s... | [
"A laptop desk with a cluttered and discs sitting on it .",
"it cluttered desk A . laptop and discs sitting a on with",
"desk A cluttered laptop a with discs and sitting it on .",
"and discs sitting A cluttered desk with a laptop on it ."
] |
coco_59892_20983 | An open laptop computer sitting on a desk with two disk resting up against it. | datasets/COCO/train2014/COCO_train2014_000000075647.jpg | [
"open laptop computer",
"desk",
"two disk"
] | [
{
"positive": "open laptop computer",
"negative": "closed laptop computer",
"change_type": "attribute_change"
},
{
"positive": "open laptop computer",
"negative": "open tablet computer",
"change_type": "object_change"
},
{
"positive": "desk",
"negative": "table",
"change_... | [{"subject": "open laptop computer", "relation_type": "is sitting on", "object": "desk", "negatives": [{"subject": "open laptop computer", "relation_type": "is standing on", "object": "desk", "change_type": "antonym"}, {"subject": "open laptop computer", "relation_type": "is not sitting on", "object": "desk", "change_t... | [
"An laptop computer desk sitting on a disk with two open resting up against it .",
"sitting open laptop computer resting on it desk against up disk . two with An a",
"laptop open An on sitting computer desk with a two disk resting it up against .",
"two disk resting a desk with computer sitting on up against ... |
coco_59892_27835 | a laptop being operated on a wooden desk | datasets/COCO/train2014/COCO_train2014_000000075647.jpg | [
"laptop",
"wooden desk"
] | [
{
"positive": "wooden desk",
"negative": "metal desk",
"change_type": "attribute_change"
},
{
"positive": "wooden desk",
"negative": "wooden chair",
"change_type": "object_change"
}
] | [{"subject": "laptop", "relation_type": "is being operated on", "object": "wooden desk", "negatives": [{"subject": "laptop", "relation_type": "is being lifted from", "object": "wooden desk", "change_type": "antonym"}, {"subject": "laptop", "relation_type": "is not being operated on", "object": "wooden desk", "change_ty... | [
"a desk being operated on a laptop wooden",
"operated laptop a on a being wooden desk",
"being laptop a on operated a desk wooden"
] |
coco_59892_30127 | A computer on a desk with two cds lying on top of the keyboard. | datasets/COCO/train2014/COCO_train2014_000000075647.jpg | [
"computer",
"desk",
"two cds",
"keyboard"
] | [
{
"positive": "computer",
"negative": "laptop",
"change_type": "object_change"
},
{
"positive": "desk",
"negative": "table",
"change_type": "object_change"
},
{
"positive": "two cds",
"negative": "two books",
"change_type": "object_change"
},
{
"positive": "two cd... | [{"subject": "computer", "relation_type": "is on", "object": "desk", "negatives": [{"subject": "computer", "relation_type": "is under", "object": "desk", "change_type": "antonym"}, {"subject": "computer", "relation_type": "is not on", "object": "desk", "change_type": "negation"}, {"subject": "desk", "relation_type": "i... | [
"A keyboard on a computer with two top lying on cds of the desk .",
"A computer lying on desk a . cds with of top two the keyboard on",
"A on computer desk with a lying cds two on of top keyboard the .",
"two cds lying on top of A computer on the keyboard . a desk with"
] |
coco_59892_31087 | A lap top and cds sitting on an office desk | datasets/COCO/train2014/COCO_train2014_000000075647.jpg | [
"lap top",
"cds",
"office desk"
] | [
{
"positive": "lap top",
"negative": "laptop",
"change_type": "attribute_change"
},
{
"positive": "lap top",
"negative": "tablet",
"change_type": "object_change"
},
{
"positive": "cds",
"negative": "dvds",
"change_type": "object_change"
},
{
"positive": "office de... | [{"subject": "lap top", "relation_type": "is sitting on", "object": "office desk", "negatives": [{"subject": "lap top", "relation_type": "is standing on", "object": "office desk", "change_type": "antonym"}, {"subject": "lap top", "relation_type": "is under", "object": "office desk", "change_type": "antonym"}, {"subject... | [
"A cds top and lap sitting on an office desk",
"on lap top sitting cds A an and office desk",
"top lap A sitting cds and an office on desk",
"on an office desk A lap top and cds sitting"
] |
coco_59893_456468 | The Big Ben clock tower towering over the city of London. | datasets/COCO/train2014/COCO_train2014_000000266386.jpg | [
"Big Ben clock tower",
"city of London"
] | [
{
"positive": "Big Ben clock tower",
"negative": "Eiffel Tower",
"change_type": "object_change"
},
{
"positive": "city of London",
"negative": "Eiffel Tower in Paris",
"change_type": "object_change"
},
{
"positive": "city of London",
"negative": "Sydney Opera House in Sydney"... | [{"subject": "Big Ben clock tower", "relation_type": "is towering over", "object": "city of London", "negatives": [{"subject": "Big Ben clock tower", "relation_type": "is not towering over", "object": "city of London", "change_type": "negation"}, {"subject": "Big Ben clock tower", "relation_type": "is under", "object":... | [
"The clock Ben city London towering over the Big of tower .",
"of Big Ben clock tower . over The city towering London the",
"Ben Big The tower towering clock the over city of . London",
"clock tower towering of London . over the city The Big Ben"
] |
coco_59893_457926 | A picture of a big clock tower in a small town. | datasets/COCO/train2014/COCO_train2014_000000266386.jpg | [
"big clock tower",
"small town"
] | [
{
"positive": "big clock tower",
"negative": "small clock tower",
"change_type": "attribute_change"
},
{
"positive": "big clock tower",
"negative": "big church tower",
"change_type": "object_change"
},
{
"positive": "small town",
"negative": "big city",
"change_type": "ob... | [{"subject": "big clock tower", "relation_type": "is in", "object": "small town", "negatives": [{"subject": "big clock tower", "relation_type": "is outside", "object": "small town", "change_type": "antonym"}, {"subject": "big clock tower", "relation_type": "is not in", "object": "small town", "change_type": "negation"}... | [
"A town of a clock picture small in a tower big .",
". picture a A big clock tower a of small town in",
"of A picture clock a big a tower in town . small",
"A picture of a big clock small town . tower in a"
] |
coco_59893_458241 | there is a tall tower that has a clock at the top of it | datasets/COCO/train2014/COCO_train2014_000000266386.jpg | [
"tall tower",
"clock"
] | [
{
"positive": "tall tower",
"negative": "short tower",
"change_type": "attribute_change"
},
{
"positive": "tall tower",
"negative": "tall bridge",
"change_type": "object_change"
}
] | [{"subject": "tall tower", "relation_type": "has", "object": "clock", "negatives": [{"subject": "tall tower", "relation_type": "is without", "object": "clock", "change_type": "antonym"}, {"subject": "tall tower", "relation_type": "does not have", "object": "clock", "change_type": "negation"}, {"subject": "clock", "rela... | [
"there is a tower clock that has a top at the tall of it",
"is has a tall tower at there a clock of that top the it",
"a is there tall tower that clock a has top the at it of",
"there is a of it has a clock tall tower that at the top"
] |
coco_59893_460731 | a picture of big ben and a subway sign | datasets/COCO/train2014/COCO_train2014_000000266386.jpg | [
"Big Ben",
"subway sign"
] | [
{
"positive": "Big Ben",
"negative": "Eiffel Tower",
"change_type": "object_change"
},
{
"positive": "subway sign",
"negative": "subway map",
"change_type": "object_change"
}
] | [{"subject": "Big Ben", "relation_type": "is next to", "object": "subway sign", "negatives": [{"subject": "Big Ben", "relation_type": "is away from", "object": "subway sign", "change_type": "antonym"}, {"subject": "Big Ben", "relation_type": "is not next to", "object": "subway sign", "change_type": "negation"}, {"subje... | [
"a ben of subway big and a picture sign",
"a picture and big ben of a subway sign",
"of picture a ben big and subway a sign",
"big ben and a picture of a subway sign"
] |
coco_59893_821559 | a clock tower rises in the blue sky | datasets/COCO/train2014/COCO_train2014_000000266386.jpg | [
"clock tower",
"blue sky"
] | [
{
"positive": "clock tower",
"negative": "water tower",
"change_type": "object_change"
},
{
"positive": "blue sky",
"negative": "gray sky",
"change_type": "attribute_change"
},
{
"positive": "blue sky",
"negative": "blue ocean",
"change_type": "object_change"
}
] | [{"subject": "clock tower", "relation_type": "rises in", "object": "blue sky", "negatives": [{"subject": "clock tower", "relation_type": "is falling from", "object": "blue sky", "change_type": "antonym"}, {"subject": "clock tower", "relation_type": "is not rising in", "object": "blue sky", "change_type": "negation"}, {... | [
"a clock blue rises in the tower sky",
"rises clock tower a in the blue sky",
"clock a tower the rises in blue sky",
"rises in the a clock tower blue sky"
] |
coco_59894_681057 | A group of people standing around each other. | datasets/COCO/train2014/COCO_train2014_000000565211.jpg | [
"group of people"
] | [
{
"positive": "group of people",
"negative": "group of animals",
"change_type": "object_change"
}
] | [] | [
"A other of group standing around each people .",
"of group standing people . each A other around",
"A group of around people standing each other .",
"each other . A group of people standing around"
] |
coco_59894_682551 | a lady handing a teddy bear to a little girl and a lady holding a baby | datasets/COCO/train2014/COCO_train2014_000000565211.jpg | [
"lady",
"teddy bear",
"little girl",
"lady",
"baby"
] | [
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
},
{
"positive": "little girl",
"negative": "little boy",
"change_type": "attribute_change"
},
{
"positive": "little girl",
"negative": "young man",
"change_type": "attribute_change"
... | [{"subject": "lady", "relation_type": "is handing", "object": "teddy bear", "negatives": [{"subject": "lady", "relation_type": "is receiving", "object": "teddy bear", "change_type": "antonym"}, {"subject": "lady", "relation_type": "is not handing", "object": "teddy bear", "change_type": "negation"}, {"subject": "teddy ... | [
"a little handing a teddy bear to a lady lady and a girl holding a baby",
"and lady to bear teddy a a handing little girl holding a lady a a baby",
"handing lady a teddy bear a little a to girl and a lady holding a baby",
"lady holding a to a little a lady handing girl and a baby a teddy bear"
] |
coco_59894_685347 | A happy girl is receiving her teddy bear. | datasets/COCO/train2014/COCO_train2014_000000565211.jpg | [
"happy girl",
"teddy bear"
] | [
{
"positive": "happy girl",
"negative": "sad girl",
"change_type": "attribute_change"
},
{
"positive": "happy girl",
"negative": "happy boy",
"change_type": "attribute_change"
},
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
}
... | [{"subject": "happy girl", "relation_type": "is receiving", "object": "teddy bear", "negatives": [{"subject": "happy girl", "relation_type": "is giving", "object": "teddy bear", "change_type": "antonym"}, {"subject": "happy girl", "relation_type": "is not receiving", "object": "teddy bear", "change_type": "negation"}, ... | [
"A teddy happy is receiving her girl bear .",
". happy girl A receiving her teddy bear is",
"A girl happy is her receiving bear . teddy",
"A happy girl teddy bear . is receiving her"
] |
coco_59894_686184 | A small child smiles as a woman hands her a teddy bear. | datasets/COCO/train2014/COCO_train2014_000000565211.jpg | [
"small child",
"woman",
"teddy bear"
] | [
{
"positive": "small child",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "small child",
"negative": "small dog",
"change_type": "object_change"
},
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
}
... | [{"subject": "woman", "relation_type": "is handing", "object": "teddy bear", "negatives": [{"subject": "woman", "relation_type": "is taking back", "object": "teddy bear", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not handing", "object": "teddy bear", "change_type": "negation"}, {"subject": "t... | [
"A small bear smiles as a teddy hands her a child woman .",
"smiles small child hands her as woman a a . teddy bear A",
"child small A a as smiles hands woman her teddy bear a .",
"smiles as a A small child . woman hands her a teddy bear"
] |
coco_59894_691575 | An indoor bazaar with people buying items from tables. | datasets/COCO/train2014/COCO_train2014_000000565211.jpg | [
"indoor bazaar",
"people",
"items",
"tables"
] | [
{
"positive": "indoor bazaar",
"negative": "outdoor market",
"change_type": "attribute_change"
},
{
"positive": "indoor bazaar",
"negative": "indoor library",
"change_type": "object_change"
},
{
"positive": "people",
"negative": "children",
"change_type": "attribute_chang... | [{"subject": "people", "relation_type": "are buying", "object": "items", "negatives": []}, {"subject": "items", "relation_type": "are on", "object": "tables", "negatives": []}, {"subject": "people", "relation_type": "are in", "object": "indoor bazaar", "negatives": []}, {"subject": "tables", "relation_type": "are in", ... | [
"An items indoor with tables buying bazaar from people .",
"buying indoor bazaar from people . items with tables An",
"bazaar indoor An people buying with tables items from .",
"An indoor bazaar with people buying items from tables ."
] |
coco_59895_154109 | A hipster holding a stuffed animal and wearing a nose ring. | datasets/COCO/train2014/COCO_train2014_000000371530.jpg | [
"hipster",
"stuffed animal",
"nose ring"
] | [
{
"positive": "hipster",
"negative": "gamer",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed bear",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed dinosaur",
"change_type": "object_change"
}... | [{"subject": "hipster", "relation_type": "is holding", "object": "stuffed animal", "negatives": [{"subject": "hipster", "relation_type": "is dropping", "object": "stuffed animal", "change_type": "antonym"}, {"subject": "hipster", "relation_type": "is not holding", "object": "stuffed animal", "change_type": "negation"}]... | [
"A animal holding a stuffed hipster and wearing a nose ring .",
"A hipster a stuffed . animal wearing and a nose ring holding",
"hipster A holding animal stuffed a wearing and a nose . ring",
"a stuffed animal and wearing a A hipster holding nose ring ."
] |
coco_59895_157493 | The young woman warmly holds her teddy bear. | datasets/COCO/train2014/COCO_train2014_000000371530.jpg | [
"young woman",
"teddy bear"
] | [
{
"positive": "young woman",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "young woman",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "teddy bear",
"negative": "plush rabbit",
"change_type": "object_change"
}
] | [{"subject": "young woman", "relation_type": "is holding", "object": "teddy bear", "negatives": [{"subject": "young woman", "relation_type": "is dropping", "object": "teddy bear", "change_type": "antonym"}, {"subject": "young woman", "relation_type": "is not holding", "object": "teddy bear", "change_type": "negation"},... | [
"The woman bear warmly holds her teddy young .",
"her young woman warmly The holds teddy bear .",
"young woman The her holds warmly bear . teddy",
"The young woman teddy bear . warmly holds her"
] |
coco_59895_160592 | A young woman cuddles an elephant stuffed animal. | datasets/COCO/train2014/COCO_train2014_000000371530.jpg | [
"young woman",
"elephant stuffed animal"
] | [
{
"positive": "young woman",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "young woman",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "elephant stuffed animal",
"negative": "bear stuffed animal",
"change_type": "... | [{"subject": "young woman", "relation_type": "is cuddling", "object": "elephant stuffed animal", "negatives": [{"subject": "young woman", "relation_type": "is pushing", "object": "elephant stuffed animal", "change_type": "antonym"}, {"subject": "young woman", "relation_type": "is not cuddling", "object": "elephant stuf... | [
"A elephant woman cuddles an animal stuffed young .",
"stuffed young woman an cuddles elephant A animal .",
"young A woman an cuddles elephant animal . stuffed",
"A young woman cuddles an elephant stuffed animal ."
] |
coco_59895_173051 | A blonde woman is cuddling a small stuffed animal. | datasets/COCO/train2014/COCO_train2014_000000371530.jpg | [
"blonde woman",
"small stuffed animal"
] | [
{
"positive": "blonde woman",
"negative": "brunette woman",
"change_type": "attribute_change"
},
{
"positive": "blonde woman",
"negative": "blonde man",
"change_type": "attribute_change"
},
{
"positive": "small stuffed animal",
"negative": "large stuffed animal",
"change_... | [{"subject": "blonde woman", "relation_type": "is cuddling", "object": "small stuffed animal", "negatives": [{"subject": "blonde woman", "relation_type": "is not cuddling", "object": "small stuffed animal", "change_type": "negation"}, {"subject": "blonde woman", "relation_type": "is pushing", "object": "small stuffed a... | [
"A animal small is cuddling a blonde stuffed woman .",
"stuffed blonde woman cuddling is a small . animal A",
"woman blonde A is cuddling a animal small stuffed .",
". is cuddling a A blonde woman small stuffed animal"
] |
coco_59895_184757 | A young woman is holding a stuffed animal. | datasets/COCO/train2014/COCO_train2014_000000371530.jpg | [
"young woman",
"stuffed animal"
] | [
{
"positive": "young woman",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "young woman",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed bear",
"change_type": "object_change"
... | [{"subject": "young woman", "relation_type": "is holding", "object": "stuffed animal", "negatives": [{"subject": "young woman", "relation_type": "is dropping", "object": "stuffed animal", "change_type": "antonym"}, {"subject": "young woman", "relation_type": "is not holding", "object": "stuffed animal", "change_type": ... | [
"A animal young is holding a stuffed woman .",
"a young woman holding is stuffed A animal .",
"young woman A a is holding animal stuffed .",
"is holding a stuffed animal . A young woman"
] |
coco_59896_724420 | a baby that is next to a teddy bear | datasets/COCO/train2014/COCO_train2014_000000291499.jpg | [
"baby",
"teddy bear"
] | [
{
"positive": "baby",
"negative": "child",
"change_type": "attribute_change"
},
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
}
] | [{"subject": "baby", "relation_type": "is next to", "object": "teddy bear", "negatives": [{"subject": "baby", "relation_type": "is away from", "object": "teddy bear", "change_type": "antonym"}, {"subject": "baby", "relation_type": "is not next to", "object": "teddy bear", "change_type": "negation"}, {"subject": "teddy ... | [
"a next that is bear to a baby teddy",
"a baby that to next is a teddy bear",
"baby a that next is to a bear teddy"
] |
coco_59896_724987 | A baby in a pink striped outfit lays on a teddy bear. | datasets/COCO/train2014/COCO_train2014_000000291499.jpg | [
"baby",
"pink striped outfit",
"teddy bear"
] | [
{
"positive": "pink striped outfit",
"negative": "blue polka dot outfit",
"change_type": "attribute_change"
},
{
"positive": "pink striped outfit",
"negative": "pink striped stroller",
"change_type": "object_change"
},
{
"positive": "teddy bear",
"negative": "plush rabbit",
... | [{"subject": "baby", "relation_type": "is wearing", "object": "pink striped outfit", "negatives": [{"subject": "baby", "relation_type": "is not wearing", "object": "pink striped outfit", "change_type": "negation"}, {"subject": "baby", "relation_type": "is without", "object": "pink striped outfit", "change_type": "anton... | [
"A lays in a baby teddy pink bear on a outfit striped .",
"on baby . a pink striped outfit lays in a teddy bear A",
"A baby in pink striped a on lays outfit bear a teddy .",
"outfit lays on A baby in . a pink striped a teddy bear"
] |
coco_59896_726742 | A child that is sitting next to a teddy bear. | datasets/COCO/train2014/COCO_train2014_000000291499.jpg | [
"child",
"teddy bear"
] | [
{
"positive": "child",
"negative": "man",
"change_type": "object_change"
},
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
}
] | [{"subject": "child", "relation_type": "is sitting next to", "object": "teddy bear", "negatives": [{"subject": "child", "relation_type": "is away from", "object": "teddy bear", "change_type": "antonym"}, {"subject": "child", "relation_type": "is not sitting next to", "object": "teddy bear", "change_type": "negation"}, ... | [
"A child that is sitting next to a bear teddy .",
"to child is A . that next a teddy bear sitting",
"that A child sitting is next a teddy to . bear",
"A child that to a teddy bear . is sitting next"
] |
coco_59896_726856 | A baby laying on a teddy bear next to her. | datasets/COCO/train2014/COCO_train2014_000000291499.jpg | [
"baby",
"teddy bear"
] | [
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
}
] | [{"subject": "baby", "relation_type": "is laying on", "object": "teddy bear", "negatives": [{"subject": "baby", "relation_type": "is standing on", "object": "teddy bear", "change_type": "antonym"}, {"subject": "baby", "relation_type": "is not laying on", "object": "teddy bear", "change_type": "negation"}, {"subject": "... | [
"A baby laying on a bear teddy next to her .",
"on baby . a her teddy bear next laying to A",
"A laying baby teddy on a bear next to her .",
"bear next to on a teddy A baby laying her ."
] |
coco_59896_727036 | Baby with teddy bear against a black backdrop. | datasets/COCO/train2014/COCO_train2014_000000291499.jpg | [
"baby",
"teddy bear",
"black backdrop"
] | [
{
"positive": "baby",
"negative": "child with skateboard",
"change_type": "object_change"
},
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
},
{
"positive": "black backdrop",
"negative": "white backdrop",
"change_type": "attribute... | [{"subject": "baby", "relation_type": "is with", "object": "teddy bear", "negatives": [{"subject": "baby", "relation_type": "is without", "object": "teddy bear", "change_type": "antonym"}, {"subject": "baby", "relation_type": "is away from", "object": "teddy bear", "change_type": "antonym"}, {"subject": "baby", "relati... | [
"backdrop with bear Baby against a black teddy .",
"Baby a teddy bear with against black backdrop .",
"Baby teddy with a against bear backdrop black .",
"bear against a Baby with teddy black backdrop ."
] |
coco_59897_397965 | Some boys are on the street in front of old buildings. | datasets/COCO/train2014/COCO_train2014_000000227508.jpg | [
"some boys",
"street",
"old buildings"
] | [
{
"positive": "some boys",
"negative": "some girls",
"change_type": "attribute_change"
},
{
"positive": "some boys",
"negative": "some men",
"change_type": "attribute_change"
},
{
"positive": "street",
"negative": "forest",
"change_type": "object_change"
},
{
"pos... | [{"subject": "some boys", "relation_type": "are on", "object": "street", "negatives": [{"subject": "some boys", "relation_type": "are under", "object": "street", "change_type": "antonym"}, {"subject": "some boys", "relation_type": "are not on", "object": "street", "change_type": "negation"}]}, {"subject": "street", "re... | [
"Some street are on the buildings in boys of old front .",
"Some boys on are . street in front the old buildings of",
"Some are boys on the street in front of . buildings old",
"on the street in front of Some boys are old buildings ."
] |
coco_59897_399621 | Sepia-toned village scene with buildings, trees, and lamp posts. | datasets/COCO/train2014/COCO_train2014_000000227508.jpg | [
"sepia-toned village scene",
"buildings",
"trees",
"lamp posts"
] | [
{
"positive": "sepia-toned village scene",
"negative": "black-and-white cityscape",
"change_type": "attribute_change"
},
{
"positive": "sepia-toned village scene",
"negative": "sepia-toned forest scene",
"change_type": "object_change"
},
{
"positive": "lamp posts",
"negative"... | [] | [
"buildings - toned scene posts with Sepia , village , and lamp trees .",
"Sepia , and village scene with buildings . trees toned - lamp posts ,",
"Sepia-toned scene village buildings , with , trees and lamp . posts",
"with buildings , lamp posts . Sepia-toned village scene trees , and"
] |
coco_59897_514323 | A large building with a clock tower on a tree lined street. | datasets/COCO/train2014/COCO_train2014_000000227508.jpg | [
"large building",
"clock tower",
"tree lined street"
] | [
{
"positive": "large building",
"negative": "small building",
"change_type": "attribute_change"
},
{
"positive": "large building",
"negative": "large bridge",
"change_type": "object_change"
},
{
"positive": "clock tower",
"negative": "water tower",
"change_type": "object_... | [{"subject": "clock tower", "relation_type": "is on", "object": "large building", "negatives": [{"subject": "clock tower", "relation_type": "is under", "object": "large building", "change_type": "antonym"}, {"subject": "clock tower", "relation_type": "is not on", "object": "large building", "change_type": "negation"}, ... | [
"A street clock with a tower large on a tree lined building .",
"a large building . a clock tower with lined tree A street on",
"building large A with a clock on a tower street tree lined .",
"with a clock A large building tower on a . tree lined street"
] |
coco_59897_514632 | Group of three people walking in front of a building on a clear day. | datasets/COCO/train2014/COCO_train2014_000000227508.jpg | [
"group of three people",
"building",
"clear day"
] | [
{
"positive": "group of three people",
"negative": "group of two people",
"change_type": "attribute_change"
},
{
"positive": "group of three people",
"negative": "group of three dogs",
"change_type": "object_change"
},
{
"positive": "building",
"negative": "bridge",
"chan... | [{"subject": "group of three people", "relation_type": "is walking in front of", "object": "building", "negatives": [{"subject": "group of three people", "relation_type": "is walking behind", "object": "building", "change_type": "antonym"}, {"subject": "group of three people", "relation_type": "is not walking in front ... | [
"day of three front walking in building of a clear on a Group people .",
"Group of on people . in front of a building a three clear day walking",
"of three Group people in walking a of front a building on day clear .",
"building on a front of a Group of three clear day . people walking in"
] |
coco_59897_516630 | a huge building with rows of trees in front and people | datasets/COCO/train2014/COCO_train2014_000000227508.jpg | [
"huge building",
"rows of trees",
"people"
] | [
{
"positive": "huge building",
"negative": "small building",
"change_type": "attribute_change"
},
{
"positive": "huge building",
"negative": "huge bridge",
"change_type": "object_change"
},
{
"positive": "rows of trees",
"negative": "rows of flowers",
"change_type": "obje... | [{"subject": "huge building", "relation_type": "has", "object": "rows of trees", "negatives": [{"subject": "huge building", "relation_type": "is without", "object": "rows of trees", "change_type": "antonym"}, {"subject": "huge building", "relation_type": "is not having", "object": "rows of trees", "change_type": "negat... | [
"a huge people with front of rows in building and trees",
"in huge building a rows and trees with front of people",
"huge a building of with rows front in trees people and",
"trees in front with rows of and people a huge building"
] |
coco_59898_160192 | Salt and Peppers shakers are in between a flower vase, near a fork. | datasets/COCO/train2014/COCO_train2014_000000294353.jpg | [
"Salt and Peppers shakers",
"flower vase",
"fork"
] | [
{
"positive": "Salt and Peppers shakers",
"negative": "Sugar and Creamer shakers",
"change_type": "object_change"
},
{
"positive": "Salt and Peppers shakers",
"negative": "Salt and Peppers bottles",
"change_type": "attribute_change"
},
{
"positive": "flower vase",
"negative":... | [{"subject": "Salt and Peppers shakers", "relation_type": "are in between", "object": "flower vase", "negatives": [{"subject": "Salt and Peppers shakers", "relation_type": "are outside of", "object": "flower vase", "change_type": "antonym"}, {"subject": "Salt and Peppers shakers", "relation_type": "are not in between",... | [
"Peppers and vase Salt are in between a flower shakers , near a fork .",
"Salt in Peppers shakers a , near . flower vase a are between fork and",
"Salt Peppers and in are shakers a between flower , near vase fork a .",
"a fork . Salt and Peppers vase , near between a flower shakers are in"
] |
coco_59898_161899 | Purple flowers in a clear vase add embellishment to a table set with shakers and a fork. | datasets/COCO/train2014/COCO_train2014_000000294353.jpg | [
"purple flowers",
"clear vase",
"table",
"shakers",
"fork"
] | [
{
"positive": "purple flowers",
"negative": "red flowers",
"change_type": "attribute_change"
},
{
"positive": "purple flowers",
"negative": "purple leaves",
"change_type": "object_change"
},
{
"positive": "clear vase",
"negative": "white vase",
"change_type": "attribute_c... | [{"subject": "purple flowers", "relation_type": "are in", "object": "clear vase", "negatives": [{"subject": "purple flowers", "relation_type": "are outside", "object": "clear vase", "change_type": "antonym"}, {"subject": "purple flowers", "relation_type": "are not in", "object": "clear vase", "change_type": "negation"}... | [
"embellishment clear in a Purple table add fork to a shakers set with vase and a flowers .",
"Purple flowers to a clear vase a embellishment with in table add and shakers a set fork .",
"flowers Purple in vase clear a embellishment to add set table a and with shakers a . fork",
"a fork . add embellishment to ... |
coco_59898_163360 | A glass vase in the center of a table with purple flowers and two glasses upside down and a fork on a napkin. | datasets/COCO/train2014/COCO_train2014_000000294353.jpg | [
"glass vase",
"table",
"purple flowers",
"two glasses",
"fork",
"napkin"
] | [
{
"positive": "glass vase",
"negative": "ceramic vase",
"change_type": "attribute_change"
},
{
"positive": "glass vase",
"negative": "glass bowl",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
{
"po... | [{"subject": "glass vase", "relation_type": "is in the center of", "object": "table", "negatives": [{"subject": "glass vase", "relation_type": "is not in the center of", "object": "table", "change_type": "negation"}, {"subject": "glass vase", "relation_type": "is on the edge of", "object": "table", "change_type": "anto... | [
"A napkin table in the glasses of a flowers with vase purple and two glass upside down and a fork on a center .",
"on glass vase and of center down the table in purple flowers a A glasses upside two a . fork and a napkin with",
"glass A vase the center in of a table purple with flowers two and glasses upside do... |
coco_59898_168796 | The table is set with fork and napkin and purple plant in vase. | datasets/COCO/train2014/COCO_train2014_000000294353.jpg | [
"table",
"fork",
"napkin",
"purple plant in vase"
] | [
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
{
"positive": "fork",
"negative": "spoon",
"change_type": "object_change"
},
{
"positive": "napkin",
"negative": "plate",
"change_type": "object_change"
},
{
"positive": "purple plant in... | [{"subject": "table", "relation_type": "is set with", "object": "fork", "negatives": [{"subject": "table", "relation_type": "is not set with", "object": "fork", "change_type": "negation"}, {"subject": "table", "relation_type": "is empty of", "object": "fork", "change_type": "antonym"}]}, {"subject": "table", "relation_... | [
"The purple is set with plant and vase and fork napkin in table .",
"set table and is in fork The napkin and purple plant . vase with",
"The is table fork with set and napkin and purple plant in . vase",
"vase . purple plant in set with fork The table is and napkin and"
] |
coco_59898_172540 | Salt and pepper shakers, a vase, a fork and a napkin | datasets/COCO/train2014/COCO_train2014_000000294353.jpg | [
"Salt and pepper shakers",
"vase",
"fork",
"napkin"
] | [
{
"positive": "Salt and pepper shakers",
"negative": "Sugar and creamer jars",
"change_type": "object_change"
},
{
"positive": "vase",
"negative": "bowl",
"change_type": "object_change"
},
{
"positive": "fork",
"negative": "spoon",
"change_type": "object_change"
},
{
... | [] | [
"fork and vase pepper , a shakers , a napkin and a Salt",
"Salt and pepper shakers a , vase and a fork , a napkin",
"pepper and Salt shakers a , , a vase fork and a napkin",
"napkin vase , a Salt and pepper shakers , a fork and a"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.