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_44561_601174 | A clear green vase filled with flowers and water. | datasets/COCO/train2014/COCO_train2014_000000353568.jpg | [
"clear green vase",
"flowers",
"water"
] | [
{
"positive": "clear green vase",
"negative": "white ceramic vase",
"change_type": "attribute_change"
},
{
"positive": "clear green vase",
"negative": "clear green bowl",
"change_type": "object_change"
},
{
"positive": "flowers",
"negative": "plants",
"change_type": "obje... | [{"subject": "clear green vase", "relation_type": "is filled with", "object": "flowers", "negatives": [{"subject": "clear green vase", "relation_type": "is empty of", "object": "flowers", "change_type": "antonym"}, {"subject": "clear green vase", "relation_type": "is not filled with", "object": "flowers", "change_type"... | [
"A green clear flowers filled with vase and water .",
"filled clear green vase . A flowers and water with",
"green A clear filled vase with and water flowers .",
"vase filled with A clear green flowers and water ."
] |
coco_44561_601681 | The vase is holding the budding flowers on the table. | datasets/COCO/train2014/COCO_train2014_000000353568.jpg | [
"vase",
"budding flowers",
"table"
] | [
{
"positive": "vase",
"negative": "bowl",
"change_type": "object_change"
},
{
"positive": "budding flowers",
"negative": "budding trees",
"change_type": "object_change"
},
{
"positive": "budding flowers",
"negative": "open flowers",
"change_type": "attribute_change"
},
... | [{"subject": "vase", "relation_type": "is holding", "object": "budding flowers", "negatives": [{"subject": "vase", "relation_type": "is dropping", "object": "budding flowers", "change_type": "antonym"}, {"subject": "vase", "relation_type": "is not holding", "object": "budding flowers", "change_type": "negation"}]}, {"s... | [
"The vase is holding the budding flowers on the table .",
"is vase holding . on the flowers budding the table The",
"The is vase the budding holding flowers the on table .",
"holding the budding flowers on the table . The vase is"
] |
coco_44562_592238 | A purple vase filled with purple and red flowers. | datasets/COCO/train2014/COCO_train2014_000000086916.jpg | [
"purple vase",
"purple and red flowers"
] | [
{
"positive": "purple vase",
"negative": "blue vase",
"change_type": "attribute_change"
},
{
"positive": "purple vase",
"negative": "purple bowl",
"change_type": "object_change"
},
{
"positive": "purple and red flowers",
"negative": "blue and yellow flowers",
"change_type... | [{"subject": "purple vase", "relation_type": "is filled with", "object": "purple and red flowers", "negatives": [{"subject": "purple vase", "relation_type": "is empty of", "object": "purple and red flowers", "change_type": "antonym"}, {"subject": "purple vase", "relation_type": "is not filled with", "object": "purple a... | [
"A purple purple filled with vase and red flowers .",
"A purple vase filled with purple . red flowers and",
"vase A purple with purple filled and red flowers .",
"A purple vase . filled with purple and red flowers"
] |
coco_44562_594983 | Fresh flowers and leaves in a tall vase | datasets/COCO/train2014/COCO_train2014_000000086916.jpg | [
"fresh flowers",
"leaves",
"tall vase"
] | [
{
"positive": "fresh flowers",
"negative": "dried flowers",
"change_type": "attribute_change"
},
{
"positive": "leaves",
"negative": "twigs",
"change_type": "object_change"
},
{
"positive": "tall vase",
"negative": "short vase",
"change_type": "attribute_change"
},
{
... | [{"subject": "fresh flowers", "relation_type": "are in", "object": "tall vase", "negatives": [{"subject": "fresh flowers", "relation_type": "are outside", "object": "tall vase", "change_type": "antonym"}, {"subject": "fresh flowers", "relation_type": "are not in", "object": "tall vase", "change_type": "negation"}]}, {"... | [
"vase flowers and Fresh in a leaves tall",
"Fresh flowers in leaves a and tall vase",
"Fresh flowers and a in leaves vase tall",
"tall vase leaves in a Fresh flowers and"
] |
coco_44562_744287 | A vase holding various pink and red flowers. | datasets/COCO/train2014/COCO_train2014_000000086916.jpg | [
"vase",
"various pink and red flowers"
] | [
{
"positive": "vase",
"negative": "pot",
"change_type": "object_change"
},
{
"positive": "various pink and red flowers",
"negative": "various blue and yellow flowers",
"change_type": "attribute_change"
},
{
"positive": "various pink and red flowers",
"negative": "various gree... | [{"subject": "vase", "relation_type": "is holding", "object": "various pink and red flowers", "negatives": [{"subject": "vase", "relation_type": "is dropping", "object": "various pink and red flowers", "change_type": "antonym"}, {"subject": "vase", "relation_type": "is not holding", "object": "various pink and red flow... | [
"A flowers holding various vase and pink red .",
"and vase . various pink A red flowers holding",
"holding vase A and various pink flowers red .",
"red flowers . various pink and A vase holding"
] |
coco_44562_744863 | A bouquet of different types of flowers and green leaves in a multicolored vase. | datasets/COCO/train2014/COCO_train2014_000000086916.jpg | [
"bouquet of different types of flowers and green leaves",
"multicolored vase"
] | [
{
"positive": "multicolored vase",
"negative": "white vase",
"change_type": "attribute_change"
},
{
"positive": "multicolored vase",
"negative": "multicolored bowl",
"change_type": "object_change"
}
] | [{"subject": "bouquet of different types of flowers and green leaves", "relation_type": "is in", "object": "multicolored vase", "negatives": [{"subject": "bouquet of different types of flowers and green leaves", "relation_type": "is outside", "object": "multicolored vase", "change_type": "antonym"}, {"subject": "bouque... | [
"A different of vase bouquet of leaves and flowers types in a multicolored green .",
"a bouquet of different types in flowers . green leaves and multicolored of vase A",
"A of bouquet types of different green and flowers a in leaves multicolored . vase",
"different types of leaves in a multicolored vase . flo... |
coco_44562_745055 | A vase sitting on a table, with purple flowers. | datasets/COCO/train2014/COCO_train2014_000000086916.jpg | [
"vase",
"table",
"purple flowers"
] | [
{
"positive": "vase",
"negative": "lamp",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
{
"positive": "purple flowers",
"negative": "red flowers",
"change_type": "attribute_change"
},
{
"positive": ... | [{"subject": "vase", "relation_type": "is sitting on", "object": "table", "negatives": [{"subject": "vase", "relation_type": "is standing on", "object": "table", "change_type": "antonym"}, {"subject": "vase", "relation_type": "is under", "object": "table", "change_type": "antonym"}, {"subject": "vase", "relation_type":... | [
"A table sitting on a flowers , with purple vase .",
", vase a . A table with on purple flowers sitting",
"A vase sitting a table on , with purple flowers .",
"on a table A vase sitting flowers . , with purple"
] |
coco_44563_62633 | A vase painted with the pattern of a tree sitting in a gallery. | datasets/COCO/train2014/COCO_train2014_000000352561.jpg | [
"vase",
"tree",
"gallery"
] | [
{
"positive": "tree",
"negative": "flower",
"change_type": "object_change"
},
{
"positive": "gallery",
"negative": "statue of a lion in a museum",
"change_type": "object_change"
}
] | [{"subject": "vase", "relation_type": "is painted with", "object": "tree", "negatives": [{"subject": "vase", "relation_type": "is not painted with", "object": "tree", "change_type": "negation"}, {"subject": "vase", "relation_type": "is detached from", "object": "tree", "change_type": "antonym"}]}, {"subject": "vase", "... | [
"A gallery painted with the tree of a vase sitting in a pattern .",
". vase sitting in with pattern A a tree a painted the gallery of",
"vase A painted pattern the with a of tree a sitting in gallery .",
"gallery . with the pattern of a tree sitting in a A vase painted"
] |
coco_44563_62687 | A yellow floral vase on display in a museum. | datasets/COCO/train2014/COCO_train2014_000000352561.jpg | [
"yellow floral vase",
"museum"
] | [
{
"positive": "yellow floral vase",
"negative": "blue ceramic vase",
"change_type": "attribute_change"
},
{
"positive": "yellow floral vase",
"negative": "yellow floral bowl",
"change_type": "object_change"
},
{
"positive": "museum",
"negative": "gallery",
"change_type": ... | [{"subject": "yellow floral vase", "relation_type": "is on display in", "object": "museum", "negatives": [{"subject": "yellow floral vase", "relation_type": "is not on display in", "object": "museum", "change_type": "negation"}, {"subject": "museum", "relation_type": "is on display in", "object": "yellow floral vase", ... | [
"A vase display floral on yellow in a museum .",
"on yellow floral vase in display a A museum .",
"floral yellow A on vase display museum a in .",
"A yellow floral in a museum . vase on display"
] |
coco_44563_64307 | A yellow vase sits on a shelf in the center of the room. | datasets/COCO/train2014/COCO_train2014_000000352561.jpg | [
"yellow vase",
"shelf",
"room"
] | [
{
"positive": "yellow vase",
"negative": "blue vase",
"change_type": "attribute_change"
},
{
"positive": "yellow vase",
"negative": "yellow bowl",
"change_type": "object_change"
},
{
"positive": "shelf",
"negative": "table",
"change_type": "object_change"
},
{
"po... | [{"subject": "yellow vase", "relation_type": "is sitting on", "object": "shelf", "negatives": [{"subject": "yellow vase", "relation_type": "is standing on", "object": "shelf", "change_type": "antonym"}, {"subject": "yellow vase", "relation_type": "is under", "object": "shelf", "change_type": "antonym"}, {"subject": "ye... | [
"A vase room sits on a center in the yellow of the shelf .",
"in yellow vase of the the shelf A a center on sits room .",
"A vase yellow a on sits in shelf the the center of room .",
"A yellow vase sits on a shelf in the center of the room ."
] |
coco_44563_64979 | a yellow vase with a floral design painted on it. | datasets/COCO/train2014/COCO_train2014_000000352561.jpg | [
"a yellow vase with a floral design painted on it"
] | [
{
"positive": "a yellow vase with a floral design painted on it",
"negative": "a blue vase with a geometric design painted on it",
"change_type": "attribute_change"
}
] | [] | [
"a design floral with a vase yellow painted on it .",
"with yellow vase a a floral design it on painted .",
"yellow a vase a floral with design painted on it .",
"it . a yellow vase design painted on with a floral"
] |
coco_44563_68447 | A yellow floral vase is sitting on a table with more vase ware in shelves nearby. | datasets/COCO/train2014/COCO_train2014_000000352561.jpg | [
"yellow floral vase",
"table",
"more vase ware",
"shelves"
] | [
{
"positive": "yellow floral vase",
"negative": "blue ceramic vase",
"change_type": "attribute_change"
},
{
"positive": "yellow floral vase",
"negative": "yellow floral bowl",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "ob... | [{"subject": "yellow floral vase", "relation_type": "is sitting on", "object": "table", "negatives": [{"subject": "yellow floral vase", "relation_type": "is standing on", "object": "table", "change_type": "antonym"}, {"subject": "yellow floral vase", "relation_type": "is under", "object": "table", "change_type": "anton... | [
"A vase vase table is sitting on a more with shelves floral ware in yellow nearby .",
"is yellow floral vase . a A nearby table with more vase ware in shelves on sitting",
"yellow floral A sitting is vase a table on vase more with in shelves ware nearby .",
"A yellow floral with more vase nearby . ware in she... |
coco_44564_89792 | A guy stands beside several detailed, artsy vases in China. | datasets/COCO/train2014/COCO_train2014_000000056608.jpg | [
"guy",
"several detailed, artsy vases",
"China"
] | [
{
"positive": "several detailed, artsy vases",
"negative": "multiple simple, modern vases",
"change_type": "attribute_change"
},
{
"positive": "several detailed, artsy vases",
"negative": "several detailed, artsy bowls",
"change_type": "object_change"
},
{
"positive": "China",
... | [{"subject": "guy", "relation_type": "is standing beside", "object": "several detailed, artsy vases", "negatives": [{"subject": "guy", "relation_type": "is standing away from", "object": "several detailed, artsy vases", "change_type": "antonym"}, {"subject": "guy", "relation_type": "is not standing beside", "object": "... | [
"A several stands beside vases China , artsy guy in detailed .",
"stands guy beside in several detailed , artsy vases A China .",
"stands guy A beside detailed several vases , artsy . China in",
", artsy vases A guy stands in China . beside several detailed"
] |
coco_44564_94199 | a man standing by a selection of blue and white vases | datasets/COCO/train2014/COCO_train2014_000000056608.jpg | [
"man",
"selection of blue and white vases"
] | [
{
"positive": "selection of blue and white vases",
"negative": "selection of red and black vases",
"change_type": "attribute_change"
}
] | [{"subject": "man", "relation_type": "is standing by", "object": "selection of blue and white vases", "negatives": [{"subject": "man", "relation_type": "is not standing by", "object": "selection of blue and white vases", "change_type": "negation"}, {"subject": "man", "relation_type": "is away from", "object": "selectio... | [
"a blue standing by a selection of white and vases man",
"a man a and by selection of blue standing white vases",
"man standing a a selection by of blue and vases white",
"by a selection white vases of blue and a man standing"
] |
coco_44564_95192 | A man standing next to a very tall vase surrounded by smaller vase. | datasets/COCO/train2014/COCO_train2014_000000056608.jpg | [
"man",
"very tall vase",
"smaller vase"
] | [
{
"positive": "very tall vase",
"negative": "short vase",
"change_type": "attribute_change"
},
{
"positive": "very tall vase",
"negative": "very tall lamp",
"change_type": "object_change"
},
{
"positive": "smaller vase",
"negative": "larger vase",
"change_type": "attribut... | [{"subject": "man", "relation_type": "is standing next to", "object": "very tall vase", "negatives": [{"subject": "man", "relation_type": "is away from", "object": "very tall vase", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not standing next to", "object": "very tall vase", "change_type": "nega... | [
"A tall standing next to a very vase smaller surrounded by vase man .",
"A man . by surrounded very to tall vase a standing smaller vase next",
"standing A man a to next vase very tall by smaller surrounded vase .",
"surrounded by smaller next to a very tall vase vase . A man standing"
] |
coco_44564_96164 | A man standing next to a group of vases | datasets/COCO/train2014/COCO_train2014_000000056608.jpg | [
"man",
"group of vases"
] | [
{
"positive": "group of vases",
"negative": "group of bowls",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is standing next to", "object": "group of vases", "negatives": [{"subject": "man", "relation_type": "is away from", "object": "group of vases", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not standing next to", "object": "group of vases", "change_type": "nega... | [
"A vases standing next to a group of man",
"next man standing a of A group to vases",
"man standing A a to next vases group of",
"A man standing group of vases next to a"
] |
coco_44564_101783 | A man standing next to very large vases, some of which are taller than him. | datasets/COCO/train2014/COCO_train2014_000000056608.jpg | [
"man",
"very large vases"
] | [
{
"positive": "very large vases",
"negative": "very small vases",
"change_type": "attribute_change"
},
{
"positive": "very large vases",
"negative": "very large chairs",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is standing next to", "object": "very large vases", "negatives": [{"subject": "man", "relation_type": "is away from", "object": "very large vases", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not standing next to", "object": "very large vases", "change_type":... | [
"A vases standing next to very taller man , some of which are large than him .",
"him man which of next very large vases . , to A some taller are than standing",
"A standing man next to very vases large , of some which are taller than him .",
"him . large vases , are taller than some of which next to very A m... |
coco_44565_73163 | A woman standing in front of glass vases. | datasets/COCO/train2014/COCO_train2014_000000052634.jpg | [
"woman",
"glass vases"
] | [
{
"positive": "glass vases",
"negative": "ceramic vases",
"change_type": "attribute_change"
},
{
"positive": "glass vases",
"negative": "glass bottles",
"change_type": "object_change"
}
] | [{"subject": "woman", "relation_type": "is standing in front of", "object": "glass vases", "negatives": [{"subject": "woman", "relation_type": "is standing behind", "object": "glass vases", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not standing in front of", "object": "glass vases", "change_t... | [
"A glass standing in woman of vases front .",
". woman A in front standing glass vases of",
"A woman standing in of front glass . vases",
"glass vases . A woman standing in front of"
] |
coco_44565_76622 | Woman happy to find the biggest vase in the bunch | datasets/COCO/train2014/COCO_train2014_000000052634.jpg | [
"woman",
"biggest vase",
"bunch"
] | [
{
"positive": "biggest vase",
"negative": "smallest vase",
"change_type": "attribute_change"
},
{
"positive": "biggest vase",
"negative": "biggest bowl",
"change_type": "object_change"
},
{
"positive": "bunch",
"negative": "group",
"change_type": "object_change"
},
{
... | [{"subject": "woman", "relation_type": "is happy to find", "object": "biggest vase", "negatives": [{"subject": "woman", "relation_type": "is not happy to find", "object": "biggest vase", "change_type": "negation"}]}, {"subject": "biggest vase", "relation_type": "is in", "object": "bunch", "negatives": [{"subject": "big... | [
"happy biggest to find the Woman vase in the bunch",
"Woman happy in the to biggest vase the find bunch",
"happy Woman to biggest the find vase the in bunch",
"vase in the bunch find the biggest Woman happy to"
] |
coco_44565_77213 | A woman stands outside a store with many vases. | datasets/COCO/train2014/COCO_train2014_000000052634.jpg | [
"woman",
"store",
"many vases"
] | [
{
"positive": "woman",
"negative": "child",
"change_type": "object_change"
},
{
"positive": "store",
"negative": "restaurant",
"change_type": "object_change"
},
{
"positive": "many vases",
"negative": "few vases",
"change_type": "attribute_change"
},
{
"positive":... | [{"subject": "woman", "relation_type": "is outside", "object": "store", "negatives": [{"subject": "woman", "relation_type": "is inside", "object": "store", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not outside", "object": "store", "change_type": "negation"}, {"subject": "store", "relation_typ... | [
"A store stands outside a vases with many woman .",
"outside woman a stands with store . many vases A",
"stands woman A store outside a with many vases .",
"with many vases . outside a store A woman stands"
] |
coco_44565_77924 | A woman in front of a China shop posing with enormous vases. | datasets/COCO/train2014/COCO_train2014_000000052634.jpg | [
"woman",
"China shop",
"enormous vases"
] | [
{
"positive": "China shop",
"negative": "glass shop",
"change_type": "object_change"
},
{
"positive": "enormous vases",
"negative": "small vases",
"change_type": "attribute_change"
},
{
"positive": "enormous vases",
"negative": "enormous chairs",
"change_type": "object_ch... | [{"subject": "woman", "relation_type": "is in front of", "object": "China shop", "negatives": [{"subject": "woman", "relation_type": "is behind", "object": "China shop", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not in front of", "object": "China shop", "change_type": "negation"}, {"subject":... | [
"A front in vases of a China enormous posing with shop woman .",
"with woman . front of A China shop posing in enormous vases a",
"in woman A a of front posing shop China vases with enormous .",
"China shop posing A woman in with enormous vases front of a ."
] |
coco_44565_78314 | A woman is standing near a display of various pots. | datasets/COCO/train2014/COCO_train2014_000000052634.jpg | [
"woman",
"display of various pots"
] | [
{
"positive": "display of various pots",
"negative": "display of various plates",
"change_type": "object_change"
},
{
"positive": "display of various pots",
"negative": "display of various vases",
"change_type": "object_change"
},
{
"positive": "display of various pots",
"neg... | [{"subject": "woman", "relation_type": "is standing near", "object": "display of various pots", "negatives": [{"subject": "woman", "relation_type": "is far from", "object": "display of various pots", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not standing near", "object": "display of various p... | [
"A woman is standing near a various of display pots .",
"a woman of . is A display near various pots standing",
"is woman A near standing a display various of pots .",
"standing near a A woman is pots . display of various"
] |
coco_44566_649190 | TWO ELEGANT FLOWER HOLDERS SITTING ON A TABLE | datasets/COCO/train2014/COCO_train2014_000000350722.jpg | [
"TWO ELEGANT FLOWER HOLDERS",
"TABLE"
] | [
{
"positive": "TWO ELEGANT FLOWER HOLDERS",
"negative": "TWO SIMPLE FLOWER HOLDERS",
"change_type": "attribute_change"
},
{
"positive": "TWO ELEGANT FLOWER HOLDERS",
"negative": "TWO ELEGANT BOOKSTANDS",
"change_type": "object_change"
}
] | [{"subject": "TWO ELEGANT FLOWER HOLDERS", "relation_type": "are sitting on", "object": "TABLE", "negatives": [{"subject": "TWO ELEGANT FLOWER HOLDERS", "relation_type": "are standing on", "object": "TABLE", "change_type": "antonym"}, {"subject": "TWO ELEGANT FLOWER HOLDERS", "relation_type": "are under", "object": "TA... | [
"TWO ELEGANT HOLDERS FLOWER SITTING ON A TABLE",
"A ELEGANT FLOWER HOLDERS ON TWO SITTING TABLE",
"TWO ELEGANT FLOWER HOLDERS SITTING ON TABLE A",
"A TABLE HOLDERS SITTING ON TWO ELEGANT FLOWER"
] |
coco_44566_649532 | Two almost identical vases next to each other. | datasets/COCO/train2014/COCO_train2014_000000350722.jpg | [
"two almost identical vases",
"each other"
] | [
{
"positive": "two almost identical vases",
"negative": "two different vases",
"change_type": "attribute_change"
},
{
"positive": "two almost identical vases",
"negative": "two plates",
"change_type": "object_change"
}
] | [{"subject": "two almost identical vases", "relation_type": "are next to", "object": "each other", "negatives": [{"subject": "two almost identical vases", "relation_type": "are away from", "object": "each other", "change_type": "antonym"}, {"subject": "two almost identical vases", "relation_type": "are not next to", "o... | [
"Two almost vases identical next to each other .",
"almost next identical vases Two each to other .",
"almost Two identical to next vases other each .",
"vases next to each other . Two almost identical"
] |
coco_44566_650006 | Two large black and gold vases on a table | datasets/COCO/train2014/COCO_train2014_000000350722.jpg | [
"two large black and gold vases",
"table"
] | [
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
}
] | [{"subject": "two large black and gold vases", "relation_type": "are on", "object": "table", "negatives": [{"subject": "two large black and gold vases", "relation_type": "are under", "object": "table", "change_type": "antonym"}, {"subject": "two large black and gold vases", "relation_type": "are beside", "object": "tab... | [
"Two table vases and black gold on a large",
"a large black and gold vases Two on table",
"black large Two gold and vases table on a",
"and gold vases Two large black on a table"
] |
coco_44566_652181 | There are two ornate vases beside each other. | datasets/COCO/train2014/COCO_train2014_000000350722.jpg | [
"two ornate vases"
] | [
{
"positive": "two ornate vases",
"negative": "one ornate vase",
"change_type": "attribute_change"
},
{
"positive": "two ornate vases",
"negative": "two simple vases",
"change_type": "attribute_change"
},
{
"positive": "two ornate vases",
"negative": "two ornate chairs",
... | [] | [
"There are two ornate vases beside each other .",
"are . two ornate vases each There other beside",
"There two are beside vases ornate each other .",
"each other . There are two ornate vases beside"
] |
coco_44566_654821 | the vases are both the same height against a white wall | datasets/COCO/train2014/COCO_train2014_000000350722.jpg | [
"vases",
"white wall"
] | [
{
"positive": "vases",
"negative": "cups",
"change_type": "object_change"
},
{
"positive": "white wall",
"negative": "black wall",
"change_type": "attribute_change"
},
{
"positive": "white wall",
"negative": "white floor",
"change_type": "object_change"
}
] | [{"subject": "vases", "relation_type": "are against", "object": "white wall", "negatives": [{"subject": "vases", "relation_type": "are not against", "object": "white wall", "change_type": "negation"}, {"subject": "white wall", "relation_type": "are against", "object": "vases", "change_type": "subject_object_swap"}]}] | [
"the height are both the wall white against a vases same",
"the vases a the against same height are both white wall",
"are the vases both same the a height against wall white",
"height against a the vases are white wall both the same"
] |
coco_44567_69826 | A huge vase sits in a corner with scrolled window frames, ornamental walls and concrete wainscoting for a perfect match. | datasets/COCO/train2014/COCO_train2014_000000075415.jpg | [
"huge vase",
"corner",
"scrolled window frames",
"ornamental walls",
"concrete wainscoting"
] | [
{
"positive": "huge vase",
"negative": "small vase",
"change_type": "attribute_change"
},
{
"positive": "huge vase",
"negative": "huge bowl",
"change_type": "object_change"
},
{
"positive": "corner",
"negative": "center",
"change_type": "attribute_change"
},
{
"po... | [{"subject": "huge vase", "relation_type": "is sitting in", "object": "corner", "negatives": [{"subject": "huge vase", "relation_type": "is not sitting in", "object": "corner", "change_type": "negation"}, {"subject": "huge vase", "relation_type": "is standing in", "object": "corner", "change_type": "antonym"}]}, {"subj... | [
"A corner wainscoting sits in a huge with scrolled vase walls , match window and ornamental perfect for a concrete frames .",
"a huge vase . in A corner scrolled a window frames and ornamental walls with concrete wainscoting , for perfect match sits",
"vase A huge sits a in with scrolled corner , frames window ... |
coco_44567_71908 | A large Asian vase in the corner of a room. | datasets/COCO/train2014/COCO_train2014_000000075415.jpg | [
"large Asian vase",
"corner of a room"
] | [
{
"positive": "large Asian vase",
"negative": "small Asian vase",
"change_type": "attribute_change"
},
{
"positive": "large Asian vase",
"negative": "large European vase",
"change_type": "object_change"
},
{
"positive": "corner of a room",
"negative": "center of a room",
... | [{"subject": "large Asian vase", "relation_type": "is in", "object": "corner of a room", "negatives": [{"subject": "large Asian vase", "relation_type": "is outside", "object": "corner of a room", "change_type": "antonym"}, {"subject": "large Asian vase", "relation_type": "is not in", "object": "corner of a room", "chan... | [
"A large vase corner in the room of a Asian .",
". large Asian vase A of corner in a room the",
"large Asian A the vase in of a corner room .",
"corner of a room . vase in the A large Asian"
] |
coco_44567_73027 | Large oriental ceramic urn in the corner of an ornate room | datasets/COCO/train2014/COCO_train2014_000000075415.jpg | [
"Large oriental ceramic urn",
"ornate room"
] | [
{
"positive": "Large oriental ceramic urn",
"negative": "small western wooden chest",
"change_type": "object_change"
},
{
"positive": "Large oriental ceramic urn",
"negative": "large oriental ceramic vase",
"change_type": "attribute_change"
},
{
"positive": "ornate room",
"ne... | [{"subject": "Large oriental ceramic urn", "relation_type": "is in", "object": "ornate room", "negatives": [{"subject": "Large oriental ceramic urn", "relation_type": "is outside", "object": "ornate room", "change_type": "antonym"}, {"subject": "Large oriental ceramic urn", "relation_type": "is not in", "object": "orna... | [
"ornate room Large urn in the oriental of an corner ceramic",
"Large oriental ceramic urn the of corner an in ornate room",
"oriental Large ceramic urn the in an corner of room ornate",
"urn in the Large oriental ceramic corner of an ornate room"
] |
coco_44567_74626 | A large colorful vase sitting in a corner next to a window. | datasets/COCO/train2014/COCO_train2014_000000075415.jpg | [
"large colorful vase",
"corner",
"window"
] | [
{
"positive": "large colorful vase",
"negative": "small plain vase",
"change_type": "attribute_change"
},
{
"positive": "large colorful vase",
"negative": "large colorful bowl",
"change_type": "object_change"
},
{
"positive": "corner",
"negative": "center",
"change_type":... | [{"subject": "large colorful vase", "relation_type": "is sitting in", "object": "corner", "negatives": [{"subject": "large colorful vase", "relation_type": "is standing in", "object": "corner", "change_type": "antonym"}, {"subject": "large colorful vase", "relation_type": "is not sitting in", "object": "corner", "chang... | [
"A colorful window corner sitting in a large next to a vase .",
"sitting large colorful vase a to A corner . in next window a",
"A large colorful sitting in vase corner next a to window a .",
"A large colorful . a corner next to a window vase sitting in"
] |
coco_44567_74881 | a large ornate Chinese vase in the corner of a room | datasets/COCO/train2014/COCO_train2014_000000075415.jpg | [
"a large ornate Chinese vase",
"a room"
] | [
{
"positive": "a large ornate Chinese vase",
"negative": "a small simple ceramic bowl",
"change_type": "object_change"
},
{
"positive": "a large ornate Chinese vase",
"negative": "a large ornate Japanese lantern",
"change_type": "object_change"
},
{
"positive": "a room",
"neg... | [{"subject": "a large ornate Chinese vase", "relation_type": "is in", "object": "a room", "negatives": [{"subject": "a large ornate Chinese vase", "relation_type": "is outside", "object": "a room", "change_type": "antonym"}, {"subject": "a large ornate Chinese vase", "relation_type": "is not in", "object": "a room", "c... | [
"a large vase room corner in the ornate of a Chinese",
"the large ornate Chinese vase a of corner in a room",
"ornate large a Chinese vase in the of corner room a",
"a large ornate a room the corner of Chinese vase in"
] |
coco_44568_231602 | A vase filled with flowers on top of a table. | datasets/COCO/train2014/COCO_train2014_000000063476.jpg | [
"vase filled with flowers",
"table"
] | [
{
"positive": "vase filled with flowers",
"negative": "vase filled with leaves",
"change_type": "attribute_change"
},
{
"positive": "vase filled with flowers",
"negative": "bowl filled with flowers",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair"... | [{"subject": "vase filled with flowers", "relation_type": "is on top of", "object": "table", "negatives": [{"subject": "vase filled with flowers", "relation_type": "is under", "object": "table", "change_type": "antonym"}, {"subject": "vase filled with flowers", "relation_type": "is not on top of", "object": "table", "c... | [
"A table filled with vase on top of a flowers .",
"of vase with a flowers A top . filled table on",
"A vase filled flowers on with of top a . table",
"with flowers on top of a table . A vase filled"
] |
coco_44568_262379 | A vase containing multiple colorful flowers on a tablecloth. | datasets/COCO/train2014/COCO_train2014_000000063476.jpg | [
"vase",
"multiple colorful flowers",
"tablecloth"
] | [
{
"positive": "vase",
"negative": "bowl",
"change_type": "object_change"
},
{
"positive": "multiple colorful flowers",
"negative": "multiple colorful leaves",
"change_type": "object_change"
},
{
"positive": "multiple colorful flowers",
"negative": "single colorful flower",
... | [{"subject": "vase", "relation_type": "contains", "object": "multiple colorful flowers", "negatives": []}, {"subject": "vase", "relation_type": "is on", "object": "tablecloth", "negatives": []}] | [
"A flowers containing multiple colorful vase on a tablecloth .",
". vase on multiple colorful flowers a A tablecloth containing",
"containing A vase colorful flowers multiple on tablecloth a .",
"A vase containing multiple colorful flowers . on a tablecloth"
] |
coco_44568_265121 | A vase full of flowers on a carpet in a room | datasets/COCO/train2014/COCO_train2014_000000063476.jpg | [
"vase full of flowers",
"carpet",
"room"
] | [
{
"positive": "vase full of flowers",
"negative": "vase full of books",
"change_type": "object_change"
},
{
"positive": "vase full of flowers",
"negative": "empty vase",
"change_type": "attribute_change"
},
{
"positive": "room",
"negative": "kitchen",
"change_type": "obje... | [{"subject": "vase full of flowers", "relation_type": "is on", "object": "carpet", "negatives": [{"subject": "vase full of flowers", "relation_type": "is under", "object": "carpet", "change_type": "antonym"}, {"subject": "vase full of flowers", "relation_type": "is not on", "object": "carpet", "change_type": "negation"... | [
"A vase flowers of full on a carpet in a room",
"a vase full on flowers A a carpet of in room",
"A vase full flowers on of in carpet a room a",
"A vase full a carpet in a room of flowers on"
] |
coco_44568_265160 | a tall vase filled with roses in assorted colors | datasets/COCO/train2014/COCO_train2014_000000063476.jpg | [
"tall vase",
"roses in assorted colors"
] | [
{
"positive": "tall vase",
"negative": "short vase",
"change_type": "attribute_change"
},
{
"positive": "tall vase",
"negative": "tall bowl",
"change_type": "object_change"
},
{
"positive": "roses in assorted colors",
"negative": "roses in white color",
"change_type": "at... | [{"subject": "tall vase", "relation_type": "is filled with", "object": "roses in assorted colors", "negatives": [{"subject": "tall vase", "relation_type": "is empty of", "object": "roses in assorted colors", "change_type": "antonym"}, {"subject": "tall vase", "relation_type": "is not filled with", "object": "roses in a... | [
"a vase roses filled with tall in colors assorted",
"filled tall vase in with roses a assorted colors",
"tall a vase roses filled with in assorted colors",
"filled with roses a tall vase in assorted colors"
] |
coco_44568_265460 | Floral arrangement of roses and ferns in a vase. | datasets/COCO/train2014/COCO_train2014_000000063476.jpg | [
"Floral arrangement of roses and ferns",
"vase"
] | [
{
"positive": "Floral arrangement of roses and ferns",
"negative": "Floral arrangement of lilies and tulips",
"change_type": "object_change"
},
{
"positive": "vase",
"negative": "pot",
"change_type": "object_change"
}
] | [{"subject": "Floral arrangement of roses and ferns", "relation_type": "is in", "object": "vase", "negatives": [{"subject": "Floral arrangement of roses and ferns", "relation_type": "is outside", "object": "vase", "change_type": "antonym"}, {"subject": "Floral arrangement of roses and ferns", "relation_type": "is not i... | [
"ferns vase of Floral and arrangement in a roses .",
"Floral arrangement and roses in ferns of a vase .",
"of arrangement Floral and ferns roses vase in a .",
"roses and ferns Floral arrangement of . in a vase"
] |
coco_44569_342642 | A woman smiles as she holds scissors to a handmade sign. | datasets/COCO/train2014/COCO_train2014_000000101597.jpg | [
"woman",
"scissors",
"handmade sign"
] | [
{
"positive": "scissors",
"negative": "pliers",
"change_type": "object_change"
},
{
"positive": "handmade sign",
"negative": "store-bought sign",
"change_type": "attribute_change"
},
{
"positive": "handmade sign",
"negative": "handmade poster",
"change_type": "object_chan... | [{"subject": "woman", "relation_type": "is holding", "object": "scissors", "negatives": [{"subject": "woman", "relation_type": "is dropping", "object": "scissors", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not holding", "object": "scissors", "change_type": "negation"}]}, {"subject": "woman", ... | [
"A woman smiles as she holds scissors to a sign handmade .",
"holds woman to . smiles she scissors A as handmade sign a",
"woman smiles A she holds as scissors to a sign . handmade",
"as she holds handmade sign . A woman smiles scissors to a"
] |
coco_44569_343620 | a lady cutting some paper with some scissors. | datasets/COCO/train2014/COCO_train2014_000000101597.jpg | [
"lady",
"paper",
"scissors"
] | [
{
"positive": "paper",
"negative": "cardboard",
"change_type": "object_change"
},
{
"positive": "paper",
"negative": "metal sheet",
"change_type": "attribute_change"
},
{
"positive": "scissors",
"negative": "pliers",
"change_type": "object_change"
}
] | [{"subject": "lady", "relation_type": "is cutting", "object": "paper", "negatives": [{"subject": "lady", "relation_type": "is not cutting", "object": "paper", "change_type": "negation"}, {"subject": "lady", "relation_type": "is folding", "object": "paper", "change_type": "antonym"}]}, {"subject": "lady", "relation_type... | [
"a lady cutting some paper with some scissors .",
"some lady a some paper . with scissors cutting",
"cutting a lady with paper some some scissors .",
"a lady cutting some scissors . some paper with"
] |
coco_44569_343716 | a lady with a red shirt scissors cutting a paper | datasets/COCO/train2014/COCO_train2014_000000101597.jpg | [
"lady",
"red shirt scissors",
"paper"
] | [
{
"positive": "red shirt scissors",
"negative": "blue shirt scissors",
"change_type": "attribute_change"
},
{
"positive": "red shirt scissors",
"negative": "red pants scissors",
"change_type": "object_change"
},
{
"positive": "paper",
"negative": "cardboard",
"change_type... | [{"subject": "lady", "relation_type": "is wearing", "object": "red shirt scissors", "negatives": [{"subject": "lady", "relation_type": "is not wearing", "object": "red shirt scissors", "change_type": "negation"}, {"subject": "lady", "relation_type": "is detached from", "object": "red shirt scissors", "change_type": "an... | [
"a red with a scissors paper shirt cutting a lady",
"a lady a cutting red shirt scissors with a paper",
"with a lady a red shirt scissors a cutting paper",
"a red shirt scissors cutting a paper a lady with"
] |
coco_44569_346071 | A smiling woman with scissors cutting a sign | datasets/COCO/train2014/COCO_train2014_000000101597.jpg | [
"smiling woman",
"scissors",
"sign"
] | [
{
"positive": "smiling woman",
"negative": "frowning woman",
"change_type": "attribute_change"
},
{
"positive": "smiling woman",
"negative": "smiling man",
"change_type": "attribute_change"
},
{
"positive": "scissors",
"negative": "pliers",
"change_type": "object_change"
... | [{"subject": "smiling woman", "relation_type": "is with", "object": "scissors", "negatives": [{"subject": "smiling woman", "relation_type": "is without", "object": "scissors", "change_type": "antonym"}, {"subject": "smiling woman", "relation_type": "is not with", "object": "scissors", "change_type": "negation"}]}, {"su... | [
"A smiling woman with sign cutting a scissors",
"smiling a woman cutting scissors A with sign",
"A woman smiling with scissors cutting sign a",
"with scissors cutting A smiling woman a sign"
] |
coco_44569_347643 | A woman with scissors and a sign reading "we start cutting emissions." | datasets/COCO/train2014/COCO_train2014_000000101597.jpg | [
"woman",
"scissors",
"sign reading 'we start cutting emissions'"
] | [
{
"positive": "scissors",
"negative": "pliers",
"change_type": "object_change"
}
] | [{"subject": "woman", "relation_type": "is with", "object": "scissors", "negatives": [{"subject": "woman", "relation_type": "is without", "object": "scissors", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not with", "object": "scissors", "change_type": "negation"}]}, {"subject": "woman", "relati... | [
"A sign with scissors and a woman reading \" we start cutting emissions . \"",
"a woman \" scissors and \" sign . start reading with cutting emissions we A",
"woman with A and a scissors sign `` reading cutting start we '' emissions .",
"A woman with emissions . '' we start cutting scissors and a sign reading... |
coco_44570_672487 | A teddy bear and stuffed chick laying on a bed. | datasets/COCO/train2014/COCO_train2014_000000019238.jpg | [
"teddy bear",
"stuffed chick",
"bed"
] | [
{
"positive": "stuffed chick",
"negative": "stuffed bear",
"change_type": "object_change"
},
{
"positive": "stuffed chick",
"negative": "stuffed duck",
"change_type": "object_change"
},
{
"positive": "bed",
"negative": "sofa",
"change_type": "object_change"
}
] | [{"subject": "teddy bear", "relation_type": "is laying on", "object": "bed", "negatives": [{"subject": "teddy bear", "relation_type": "is standing on", "object": "bed", "change_type": "antonym"}, {"subject": "teddy bear", "relation_type": "is not laying on", "object": "bed", "change_type": "negation"}, {"subject": "bed... | [
"A bed chick and stuffed bear laying on a teddy .",
"stuffed teddy bear on A chick laying and . bed a",
"teddy A bear chick stuffed and on laying a bed .",
"and stuffed chick bed . A teddy bear laying on a"
] |
coco_44570_673210 | A teddy bear lies on a blanket holding a stuffed bear. | datasets/COCO/train2014/COCO_train2014_000000019238.jpg | [
"teddy bear",
"blanket",
"stuffed bear"
] | [
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
},
{
"positive": "blanket",
"negative": "pillow",
"change_type": "object_change"
}
] | [{"subject": "teddy bear", "relation_type": "is lying on", "object": "blanket", "negatives": [{"subject": "teddy bear", "relation_type": "is standing on", "object": "blanket", "change_type": "antonym"}, {"subject": "teddy bear", "relation_type": "is under", "object": "blanket", "change_type": "antonym"}, {"subject": "t... | [
"A blanket bear lies on a teddy holding a stuffed bear .",
"A teddy a . on holding blanket stuffed a lies bear bear",
"A teddy bear on lies a holding blanket a . bear stuffed",
"stuffed bear . A teddy bear lies on a blanket holding a"
] |
coco_44570_674437 | Stuffed bear hugging stuffed bird on a patterned bedspread | datasets/COCO/train2014/COCO_train2014_000000019238.jpg | [
"stuffed bear",
"stuffed bird",
"patterned bedspread"
] | [
{
"positive": "stuffed bear",
"negative": "stuffed elephant",
"change_type": "object_change"
},
{
"positive": "stuffed bird",
"negative": "stuffed cat",
"change_type": "object_change"
},
{
"positive": "patterned bedspread",
"negative": "striped bedspread",
"change_type": ... | [{"subject": "stuffed bear", "relation_type": "is hugging", "object": "stuffed bird", "negatives": [{"subject": "stuffed bear", "relation_type": "is dropping", "object": "stuffed bird", "change_type": "antonym"}, {"subject": "stuffed bear", "relation_type": "is not hugging", "object": "stuffed bird", "change_type": "ne... | [
"Stuffed bear hugging stuffed patterned on a bird bedspread",
"on bear a stuffed bird hugging Stuffed patterned bedspread",
"Stuffed bear hugging stuffed bird on a bedspread patterned"
] |
coco_44570_674530 | Brown teddy bear in bed holding a stuffed orange bird. | datasets/COCO/train2014/COCO_train2014_000000019238.jpg | [
"brown teddy bear",
"bed",
"stuffed orange bird"
] | [
{
"positive": "brown teddy bear",
"negative": "blue teddy bear",
"change_type": "attribute_change"
},
{
"positive": "brown teddy bear",
"negative": "brown stuffed rabbit",
"change_type": "object_change"
},
{
"positive": "bed",
"negative": "sofa",
"change_type": "object_ch... | [{"subject": "brown teddy bear", "relation_type": "is in", "object": "bed", "negatives": [{"subject": "brown teddy bear", "relation_type": "is outside", "object": "bed", "change_type": "antonym"}, {"subject": "brown teddy bear", "relation_type": "is not in", "object": "bed", "change_type": "negation"}, {"subject": "bed... | [
"bird Brown bear in teddy holding a stuffed orange bed .",
"Brown teddy stuffed a bed . holding in orange bird bear",
"Brown bear teddy in bed holding stuffed orange a bird .",
"a stuffed orange in bed holding Brown teddy bear bird ."
] |
coco_44570_676792 | A brown teddy bear holding a stuffed toy chicken. | datasets/COCO/train2014/COCO_train2014_000000019238.jpg | [
"brown teddy bear",
"stuffed toy chicken"
] | [
{
"positive": "brown teddy bear",
"negative": "blue teddy bear",
"change_type": "attribute_change"
},
{
"positive": "brown teddy bear",
"negative": "brown stuffed elephant",
"change_type": "object_change"
},
{
"positive": "stuffed toy chicken",
"negative": "stuffed toy duck",... | [{"subject": "brown teddy bear", "relation_type": "is holding", "object": "stuffed toy chicken", "negatives": [{"subject": "brown teddy bear", "relation_type": "is dropping", "object": "stuffed toy chicken", "change_type": "antonym"}, {"subject": "brown teddy bear", "relation_type": "is not holding", "object": "stuffed... | [
"A brown bear teddy holding a stuffed chicken toy .",
"a brown teddy bear holding A stuffed toy chicken .",
"A teddy brown bear holding a chicken stuffed toy .",
"A brown teddy bear holding a . stuffed toy chicken"
] |
coco_44571_719007 | A baby sitting in front of a teddy bear. | datasets/COCO/train2014/COCO_train2014_000000419467.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 sitting in front of", "object": "teddy bear", "negatives": [{"subject": "baby", "relation_type": "is sitting behind", "object": "teddy bear", "change_type": "antonym"}, {"subject": "baby", "relation_type": "is not sitting in front of", "object": "teddy bear", "change_type": "ne... | [
"A teddy sitting in bear of a baby front .",
". baby sitting a front A in teddy bear of",
"sitting baby A in of front teddy a bear .",
"a teddy bear A baby sitting . in front of"
] |
coco_44571_726657 | A child sitting in front of a stuffed teddy bear. | datasets/COCO/train2014/COCO_train2014_000000419467.jpg | [
"child",
"stuffed teddy bear"
] | [
{
"positive": "stuffed teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
},
{
"positive": "stuffed teddy bear",
"negative": "stuffed dinosaur",
"change_type": "object_change"
},
{
"positive": "stuffed teddy bear",
"negative": "stuffed elephant",
"c... | [{"subject": "child", "relation_type": "is sitting in front of", "object": "stuffed teddy bear", "negatives": [{"subject": "child", "relation_type": "is sitting behind", "object": "stuffed teddy bear", "change_type": "antonym"}, {"subject": "child", "relation_type": "is not sitting in front of", "object": "stuffed tedd... | [
"A bear sitting in teddy of a stuffed child front .",
"sitting child . A front a in stuffed teddy bear of",
"A child sitting front of in teddy stuffed a . bear",
"a stuffed teddy bear . in front of A child sitting"
] |
coco_44571_727347 | a black and white photo of a baby and a stuffed animal | datasets/COCO/train2014/COCO_train2014_000000419467.jpg | [
"black and white photo",
"baby",
"stuffed animal"
] | [
{
"positive": "baby",
"negative": "child",
"change_type": "attribute_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed bear",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed elephant",
"change_type": "object_change"
}... | [{"subject": "black and white photo", "relation_type": "contains", "object": "baby", "negatives": [{"subject": "black and white photo", "relation_type": "does not contain", "object": "baby", "change_type": "negation"}]}, {"subject": "black and white photo", "relation_type": "contains", "object": "stuffed animal", "nega... | [
"a photo and animal baby of a white and a stuffed black",
"and black a white photo a a baby of stuffed and animal",
"a and black of photo white a baby and stuffed a animal",
"white photo of a baby and a black and a stuffed animal"
] |
coco_44571_727401 | A baby sits in front of a teddy bear. | datasets/COCO/train2014/COCO_train2014_000000419467.jpg | [
"baby",
"teddy bear"
] | [
{
"positive": "baby",
"negative": "child",
"change_type": "attribute_change"
},
{
"positive": "baby",
"negative": "adult",
"change_type": "attribute_change"
},
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
}
] | [{"subject": "baby", "relation_type": "is sitting in front of", "object": "teddy bear", "negatives": [{"subject": "baby", "relation_type": "is sitting behind", "object": "teddy bear", "change_type": "antonym"}, {"subject": "baby", "relation_type": "is not sitting in front of", "object": "teddy bear", "change_type": "ne... | [
"A baby sits in bear of a teddy front .",
"A baby sits a front of in teddy bear .",
"sits baby A front in of teddy bear a .",
". A baby sits in front of a teddy bear"
] |
coco_44571_730104 | A black and white photo of a baby sitting in front of a plush bear. | datasets/COCO/train2014/COCO_train2014_000000419467.jpg | [
"black and white photo",
"baby",
"plush bear"
] | [
{
"positive": "black and white photo",
"negative": "color photo",
"change_type": "attribute_change"
},
{
"positive": "baby",
"negative": "child",
"change_type": "attribute_change"
},
{
"positive": "baby",
"negative": "toddler",
"change_type": "attribute_change"
},
{
... | [{"subject": "baby", "relation_type": "is sitting in front of", "object": "plush bear", "negatives": []}, {"subject": "black and white photo", "relation_type": "contains", "object": "baby", "negatives": []}, {"subject": "black and white photo", "relation_type": "contains", "object": "plush bear", "negatives": []}] | [
"A photo and baby black of a bear sitting in front of a plush white .",
"of black a white photo . a baby and in front A of plush bear sitting",
"black and A photo of white a baby sitting of in front plush a bear .",
". a baby sitting in front of a plush bear white photo of A black and"
] |
coco_44572_584597 | A large toy castle filled with lots of toys. | datasets/COCO/train2014/COCO_train2014_000000386253.jpg | [
"large toy castle",
"lots of toys"
] | [
{
"positive": "large toy castle",
"negative": "small toy castle",
"change_type": "attribute_change"
},
{
"positive": "large toy castle",
"negative": "large toy train",
"change_type": "object_change"
},
{
"positive": "lots of toys",
"negative": "few toys",
"change_type": "... | [{"subject": "large toy castle", "relation_type": "is filled with", "object": "lots of toys", "negatives": [{"subject": "large toy castle", "relation_type": "is empty of", "object": "lots of toys", "change_type": "antonym"}, {"subject": "large toy castle", "relation_type": "is not filled with", "object": "lots of toys"... | [
"A lots castle large filled with toy of toys .",
"A large toy castle filled . lots of toys with",
"A toy large with castle filled toys lots of .",
"lots of toys . castle filled with A large toy"
] |
coco_44572_588326 | A castle is filled with small stuffed toys. | datasets/COCO/train2014/COCO_train2014_000000386253.jpg | [
"castle",
"small stuffed toys"
] | [
{
"positive": "castle",
"negative": "museum",
"change_type": "object_change"
},
{
"positive": "small stuffed toys",
"negative": "large stuffed toys",
"change_type": "attribute_change"
},
{
"positive": "small stuffed toys",
"negative": "small action figures",
"change_type"... | [{"subject": "castle", "relation_type": "is filled with", "object": "small stuffed toys", "negatives": [{"subject": "castle", "relation_type": "is empty of", "object": "small stuffed toys", "change_type": "antonym"}, {"subject": "castle", "relation_type": "is not filled with", "object": "small stuffed toys", "change_ty... | [
"A castle is filled with toys stuffed small .",
"is castle stuffed . A small with toys filled",
"castle A is with small filled toys . stuffed",
"stuffed toys . filled with small A castle is"
] |
coco_44572_588416 | A bunch of stuffed toys inside of a homemade castle | datasets/COCO/train2014/COCO_train2014_000000386253.jpg | [
"a bunch of stuffed toys",
"homemade castle"
] | [
{
"positive": "a bunch of stuffed toys",
"negative": "a bunch of action figures",
"change_type": "object_change"
},
{
"positive": "homemade castle",
"negative": "store-bought dollhouse",
"change_type": "object_change"
},
{
"positive": "homemade castle",
"negative": "homemade ... | [{"subject": "a bunch of stuffed toys", "relation_type": "are inside of", "object": "homemade castle", "negatives": [{"subject": "a bunch of stuffed toys", "relation_type": "are outside of", "object": "homemade castle", "change_type": "antonym"}, {"subject": "a bunch of stuffed toys", "relation_type": "are not inside o... | [
"A homemade of stuffed bunch inside of a toys castle",
"of bunch stuffed inside toys of A a homemade castle",
"A of bunch stuffed toys inside homemade of a castle",
"A bunch of castle stuffed toys inside of a homemade"
] |
coco_44572_588467 | there are six bags filled with stuffed animals | datasets/COCO/train2014/COCO_train2014_000000386253.jpg | [
"six bags",
"stuffed animals"
] | [
{
"positive": "six bags",
"negative": "one bag",
"change_type": "attribute_change"
},
{
"positive": "six bags",
"negative": "six boxes",
"change_type": "object_change"
},
{
"positive": "stuffed animals",
"negative": "stuffed toys",
"change_type": "object_change"
},
{
... | [{"subject": "six bags", "relation_type": "are filled with", "object": "stuffed animals", "negatives": [{"subject": "six bags", "relation_type": "are empty of", "object": "stuffed animals", "change_type": "antonym"}, {"subject": "six bags", "relation_type": "are not filled with", "object": "stuffed animals", "change_ty... | [
"there are six animals filled with stuffed bags",
"with there six bags filled stuffed are animals",
"there six are bags with filled stuffed animals",
"there are six stuffed animals bags filled with"
] |
coco_44572_589529 | A castle is filled with little beanie animals | datasets/COCO/train2014/COCO_train2014_000000386253.jpg | [
"castle",
"little beanie animals"
] | [
{
"positive": "castle",
"negative": "mansion",
"change_type": "object_change"
},
{
"positive": "castle",
"negative": "palace",
"change_type": "object_change"
},
{
"positive": "little beanie animals",
"negative": "little beanie toys",
"change_type": "object_change"
},
... | [{"subject": "castle", "relation_type": "is filled with", "object": "little beanie animals", "negatives": [{"subject": "castle", "relation_type": "is empty of", "object": "little beanie animals", "change_type": "antonym"}, {"subject": "castle", "relation_type": "is not filled with", "object": "little beanie animals", "... | [
"A castle is filled with little animals beanie",
"with castle A filled is little beanie animals",
"castle A is little filled with animals beanie"
] |
coco_44573_168695 | A teddy bear is on the dashboard of the car. | datasets/COCO/train2014/COCO_train2014_000000364842.jpg | [
"teddy bear",
"dashboard of the car"
] | [
{
"positive": "teddy bear",
"negative": "stuffed rabbit",
"change_type": "object_change"
},
{
"positive": "dashboard of the car",
"negative": "dashboard of the bus",
"change_type": "object_change"
}
] | [{"subject": "teddy bear", "relation_type": "is on", "object": "dashboard of the car", "negatives": [{"subject": "teddy bear", "relation_type": "is under", "object": "dashboard of the car", "change_type": "antonym"}, {"subject": "teddy bear", "relation_type": "is beside", "object": "dashboard of the car", "change_type"... | [
"A teddy bear is on the dashboard of the car .",
"is teddy bear on the . dashboard A of car the",
"teddy bear A the on is the dashboard of car .",
"A teddy bear dashboard of the is on the car ."
] |
coco_44573_170672 | A small brown teddy bear sitting on the dashboard of a car. | datasets/COCO/train2014/COCO_train2014_000000364842.jpg | [
"small brown teddy bear",
"dashboard of a car"
] | [
{
"positive": "small brown teddy bear",
"negative": "large blue teddy bear",
"change_type": "attribute_change"
},
{
"positive": "small brown teddy bear",
"negative": "small brown rabbit",
"change_type": "object_change"
},
{
"positive": "dashboard of a car",
"negative": "dashb... | [{"subject": "small brown teddy bear", "relation_type": "is sitting on", "object": "dashboard of a car", "negatives": [{"subject": "small brown teddy bear", "relation_type": "is standing on", "object": "dashboard of a car", "change_type": "antonym"}, {"subject": "small brown teddy bear", "relation_type": "is under", "o... | [
"A brown dashboard small bear sitting on the teddy of a car .",
"the small brown teddy sitting bear of a dashboard A . car on",
"small brown A bear sitting teddy the dashboard on a car of .",
"of a car teddy bear sitting A small brown . on the dashboard"
] |
coco_44573_173111 | A stuffed animal is sitting on a dash | datasets/COCO/train2014/COCO_train2014_000000364842.jpg | [
"stuffed animal",
"dash"
] | [
{
"positive": "stuffed animal",
"negative": "stuffed bird",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed bear",
"change_type": "object_change"
}
] | [{"subject": "stuffed animal", "relation_type": "is sitting on", "object": "dash", "negatives": [{"subject": "stuffed animal", "relation_type": "is standing on", "object": "dash", "change_type": "antonym"}, {"subject": "stuffed animal", "relation_type": "is under", "object": "dash", "change_type": "antonym"}, {"subject... | [
"A stuffed dash is sitting on a animal",
"A on animal stuffed a sitting is dash",
"A animal stuffed sitting on is dash a",
"a dash A stuffed animal is sitting on"
] |
coco_44573_179189 | A stuffed animal sitting in the back window of a car. | datasets/COCO/train2014/COCO_train2014_000000364842.jpg | [
"stuffed animal",
"back window",
"car"
] | [
{
"positive": "stuffed animal",
"negative": "stuffed bear",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed dinosaur",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed rabbit",
"change_type": "ob... | [{"subject": "stuffed animal", "relation_type": "is sitting in", "object": "back window", "negatives": [{"subject": "stuffed animal", "relation_type": "is standing in", "object": "back window", "change_type": "antonym"}, {"subject": "stuffed animal", "relation_type": "is not sitting in", "object": "back window", "chang... | [
"A stuffed back sitting in the window car of a animal .",
"A . animal of in stuffed back window the a car sitting",
"A stuffed animal the in sitting window back of a car .",
"a car . back window of A stuffed animal sitting in the"
] |
coco_44573_183389 | A stuffed animal sits on the dashboard and looks at the photographer. | datasets/COCO/train2014/COCO_train2014_000000364842.jpg | [
"stuffed animal",
"dashboard",
"photographer"
] | [
{
"positive": "stuffed animal",
"negative": "stuffed bear",
"change_type": "object_change"
},
{
"positive": "stuffed animal",
"negative": "stuffed dinosaur",
"change_type": "object_change"
},
{
"positive": "photographer",
"negative": "model",
"change_type": "object_change... | [{"subject": "stuffed animal", "relation_type": "is sitting on", "object": "dashboard", "negatives": [{"subject": "stuffed animal", "relation_type": "is standing on", "object": "dashboard", "change_type": "antonym"}, {"subject": "stuffed animal", "relation_type": "is under", "object": "dashboard", "change_type": "anton... | [
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"on sits animal at looks A dashboard the . the stuffed photographer and",
"stuffed animal A the sits on looks dashboard and at photographer the .",
". sits on the at the photographer A stuffed animal dashboard and looks"
] |
coco_44574_378914 | a number of stuffed animals sitting near each other | datasets/COCO/train2014/COCO_train2014_000000229131.jpg | [
"a number of stuffed animals"
] | [
{
"positive": "a number of stuffed animals",
"negative": "a number of toy cars",
"change_type": "object_change"
}
] | [] | [
"a animals of stuffed other sitting near each number",
"each number sitting a animals of stuffed near other",
"of number a sitting stuffed animals other near each",
"near each other stuffed animals sitting a number of"
] |
coco_44574_379631 | A line of stuffed toys is placed on the sidewalk. | datasets/COCO/train2014/COCO_train2014_000000229131.jpg | [
"line of stuffed toys",
"sidewalk"
] | [
{
"positive": "line of stuffed toys",
"negative": "row of action figures",
"change_type": "object_change"
},
{
"positive": "line of stuffed toys",
"negative": "line of stuffed animals",
"change_type": "attribute_change"
},
{
"positive": "sidewalk",
"negative": "park",
"ch... | [{"subject": "line of stuffed toys", "relation_type": "is placed on", "object": "sidewalk", "negatives": [{"subject": "line of stuffed toys", "relation_type": "is under", "object": "sidewalk", "change_type": "antonym"}, {"subject": "line of stuffed toys", "relation_type": "is not placed on", "object": "sidewalk", "chan... | [
"A line of stuffed sidewalk is placed on the toys .",
"A line of the toys on placed stuffed is sidewalk .",
"of A line stuffed is toys on placed the . sidewalk",
"stuffed toys is placed on the A line of sidewalk ."
] |
coco_44574_380615 | Some very cute stuffed bears sitting on a side walk. | datasets/COCO/train2014/COCO_train2014_000000229131.jpg | [
"some very cute stuffed bears",
"side walk"
] | [
{
"positive": "some very cute stuffed bears",
"negative": "some very cute stuffed rabbits",
"change_type": "object_change"
},
{
"positive": "side walk",
"negative": "park bench",
"change_type": "object_change"
},
{
"positive": "side walk",
"negative": "sidewalk with birds",
... | [{"subject": "some very cute stuffed bears", "relation_type": "are sitting on", "object": "side walk", "negatives": [{"subject": "some very cute stuffed bears", "relation_type": "are standing on", "object": "side walk", "change_type": "antonym"}, {"subject": "some very cute stuffed bears", "relation_type": "are under",... | [
"Some very cute stuffed bears sitting on a walk side .",
"sitting cute stuffed very bears . Some on side walk a",
"Some cute very stuffed sitting bears side on a walk .",
"walk . stuffed bears sitting on a side Some very cute"
] |
coco_44574_385667 | Four teddy bears outside sitting on chairs on a sidewalk. | datasets/COCO/train2014/COCO_train2014_000000229131.jpg | [
"four teddy bears",
"chairs",
"sidewalk"
] | [
{
"positive": "four teddy bears",
"negative": "two teddy bears",
"change_type": "attribute_change"
},
{
"positive": "four teddy bears",
"negative": "four dolls",
"change_type": "object_change"
},
{
"positive": "chairs",
"negative": "benches",
"change_type": "object_change... | [{"subject": "four teddy bears", "relation_type": "are sitting on", "object": "chairs", "negatives": [{"subject": "four teddy bears", "relation_type": "are standing on", "object": "chairs", "change_type": "antonym"}, {"subject": "four teddy bears", "relation_type": "are not sitting on", "object": "chairs", "change_type... | [
"Four sidewalk bears outside sitting on chairs on a teddy .",
". teddy a sitting Four on chairs outside bears sidewalk on",
"teddy bears Four outside on sitting a chairs on . sidewalk",
"sidewalk . chairs on a outside sitting on Four teddy bears"
] |
coco_44574_386252 | Four teddy bears that are sitting next to each other. | datasets/COCO/train2014/COCO_train2014_000000229131.jpg | [
"four teddy bears"
] | [
{
"positive": "four teddy bears",
"negative": "one teddy bear",
"change_type": "attribute_change"
},
{
"positive": "four teddy bears",
"negative": "four dolls",
"change_type": "object_change"
}
] | [] | [
"Four teddy other that are sitting next to each bears .",
"sitting teddy bears are Four that to . next other each",
"Four teddy bears are sitting that next each to other .",
"that are sitting other . next to each Four teddy bears"
] |
coco_44575_193861 | A couple of brown teddy bears laying next to a bag of trash. | datasets/COCO/train2014/COCO_train2014_000000579807.jpg | [
"a couple of brown teddy bears",
"bag of trash"
] | [
{
"positive": "a couple of brown teddy bears",
"negative": "a couple of brown rabbits",
"change_type": "object_change"
},
{
"positive": "bag of trash",
"negative": "bag of groceries",
"change_type": "object_change"
},
{
"positive": "bag of trash",
"negative": "bag of leaves",... | [{"subject": "a couple of brown teddy bears", "relation_type": "are laying next to", "object": "bag of trash", "negatives": [{"subject": "a couple of brown teddy bears", "relation_type": "are away from", "object": "bag of trash", "change_type": "antonym"}, {"subject": "a couple of brown teddy bears", "relation_type": "... | [
"A bears of teddy trash couple laying next to a bag of brown .",
"a couple A brown teddy bears of laying to next bag . trash of",
"couple A of bears teddy brown to next laying a of bag trash .",
"trash . laying next to A couple of a bag of brown teddy bears"
] |
coco_44575_206383 | Stuffed animals are placed on the side of the street. | datasets/COCO/train2014/COCO_train2014_000000579807.jpg | [
"stuffed animals",
"side of the street"
] | [
{
"positive": "stuffed animals",
"negative": "stuffed toys",
"change_type": "object_change"
},
{
"positive": "stuffed animals",
"negative": "stuffed bears",
"change_type": "attribute_change"
},
{
"positive": "side of the street",
"negative": "top of the mountain",
"change... | [{"subject": "stuffed animals", "relation_type": "are placed on", "object": "side of the street", "negatives": [{"subject": "stuffed animals", "relation_type": "are placed away from", "object": "side of the street", "change_type": "antonym"}, {"subject": "stuffed animals", "relation_type": "are not placed on", "object"... | [
"Stuffed side are placed on the animals of the street .",
"the animals . of Stuffed placed side are on street the",
"are animals Stuffed placed on the the of side street .",
"Stuffed animals are side of the placed on the street ."
] |
coco_44575_207325 | two teddy bears are lying next to a gray plastic bag and a tree | datasets/COCO/train2014/COCO_train2014_000000579807.jpg | [
"two teddy bears",
"gray plastic bag",
"tree"
] | [
{
"positive": "two teddy bears",
"negative": "one teddy bear",
"change_type": "attribute_change"
},
{
"positive": "two teddy bears",
"negative": "two dolls",
"change_type": "object_change"
},
{
"positive": "gray plastic bag",
"negative": "black plastic bag",
"change_type"... | [{"subject": "two teddy bears", "relation_type": "are lying next to", "object": "gray plastic bag", "negatives": [{"subject": "two teddy bears", "relation_type": "are lying away from", "object": "gray plastic bag", "change_type": "antonym"}, {"subject": "two teddy bears", "relation_type": "are not lying next to", "obje... | [
"two bears teddy are lying next to a tree bag plastic and a gray",
"a teddy bears two are a next lying gray plastic bag to and tree",
"teddy two bears next are lying to gray a and bag plastic tree a",
"a tree plastic bag and to a gray are lying next two teddy bears"
] |
coco_44575_207964 | Two teddy bears left in the middle of the road | datasets/COCO/train2014/COCO_train2014_000000579807.jpg | [
"two teddy bears",
"middle of the road"
] | [
{
"positive": "two teddy bears",
"negative": "one teddy bear",
"change_type": "attribute_change"
},
{
"positive": "two teddy bears",
"negative": "two dolls",
"change_type": "object_change"
},
{
"positive": "middle of the road",
"negative": "middle of the park",
"change_ty... | [{"subject": "two teddy bears", "relation_type": "are in", "object": "middle of the road", "negatives": [{"subject": "two teddy bears", "relation_type": "are not in", "object": "middle of the road", "change_type": "negation"}, {"subject": "two teddy bears", "relation_type": "are outside", "object": "middle of the road"... | [
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"the teddy bears the in of middle Two left road",
"bears Two teddy left in the middle the of road",
"left in the Two teddy bears road middle of the"
] |
coco_44575_208447 | Two teddy bears are laying on the ground outside. | datasets/COCO/train2014/COCO_train2014_000000579807.jpg | [
"two teddy bears",
"ground",
"outside"
] | [
{
"positive": "two teddy bears",
"negative": "one teddy bear",
"change_type": "attribute_change"
},
{
"positive": "two teddy bears",
"negative": "two dolls",
"change_type": "object_change"
},
{
"positive": "ground",
"negative": "table",
"change_type": "object_change"
},... | [{"subject": "two teddy bears", "relation_type": "are laying on", "object": "ground", "negatives": [{"subject": "two teddy bears", "relation_type": "are standing on", "object": "ground", "change_type": "antonym"}, {"subject": "two teddy bears", "relation_type": "are not laying on", "object": "ground", "change_type": "n... | [
"Two bears teddy are laying on the ground outside .",
"are teddy bears laying on outside . ground the Two",
"Two bears teddy on laying are outside ground the .",
"Two teddy bears . the ground outside are laying on"
] |
coco_44576_430776 | A group of people eating food at a table. | datasets/COCO/train2014/COCO_train2014_000000121824.jpg | [
"group of people",
"food",
"table"
] | [
{
"positive": "food",
"negative": "people eating fruits",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
}
] | [{"subject": "group of people", "relation_type": "is eating", "object": "food", "negatives": [{"subject": "group of people", "relation_type": "is not eating", "object": "food", "change_type": "negation"}, {"subject": "group of people", "relation_type": "is dropping", "object": "food", "change_type": "antonym"}]}, {"sub... | [
"A people of food eating group at a table .",
"eating group at people A food . a table of",
"of group A food eating people table a at .",
"people eating food . at a table A group of"
] |
coco_44576_438975 | A group of people sitting at a table. | datasets/COCO/train2014/COCO_train2014_000000121824.jpg | [
"group of people",
"table"
] | [
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
}
] | [{"subject": "group of people", "relation_type": "is sitting at", "object": "table", "negatives": [{"subject": "group of people", "relation_type": "is standing at", "object": "table", "change_type": "antonym"}, {"subject": "group of people", "relation_type": "is not sitting at", "object": "table", "change_type": "negat... | [
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"group A of at sitting people . a table",
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] |
coco_44576_440457 | A large family gathering has breakfast before a fireplace decked with Christmas stockings. | datasets/COCO/train2014/COCO_train2014_000000121824.jpg | [
"large family gathering",
"breakfast",
"fireplace",
"Christmas stockings"
] | [
{
"positive": "large family gathering",
"negative": "small family gathering",
"change_type": "attribute_change"
},
{
"positive": "large family gathering",
"negative": "large group of friends gathering",
"change_type": "object_change"
},
{
"positive": "breakfast",
"negative": ... | [{"subject": "large family gathering", "relation_type": "has", "object": "breakfast", "negatives": [{"subject": "large family gathering", "relation_type": "does not have", "object": "breakfast", "change_type": "negation"}]}, {"subject": "fireplace", "relation_type": "is decked with", "object": "Christmas stockings", "n... | [
"A Christmas breakfast gathering has family before a fireplace decked with large stockings .",
"a large family gathering with breakfast decked before fireplace has . Christmas stockings A",
"large A family gathering breakfast has fireplace a before Christmas decked with . stockings",
"gathering has breakfast ... |
coco_44576_441381 | People are sitting around a table celebrating Christmas. | datasets/COCO/train2014/COCO_train2014_000000121824.jpg | [
"people",
"table"
] | [
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
}
] | [{"subject": "people", "relation_type": "are sitting around", "object": "table", "negatives": [{"subject": "people", "relation_type": "are standing around", "object": "table", "change_type": "antonym"}, {"subject": "people", "relation_type": "are not sitting around", "object": "table", "change_type": "negation"}, {"sub... | [
"People are sitting around a table celebrating Christmas .",
"People sitting a around are table . Christmas celebrating",
"People are sitting a table around . celebrating Christmas",
"People are sitting celebrating Christmas . around a table"
] |
coco_44576_442155 | A family is eating a holiday meal in front of the fire. | datasets/COCO/train2014/COCO_train2014_000000121824.jpg | [
"family",
"holiday meal",
"fire"
] | [
{
"positive": "family",
"negative": "friends",
"change_type": "object_change"
},
{
"positive": "family",
"negative": "a group of coworkers",
"change_type": "object_change"
},
{
"positive": "holiday meal",
"negative": "birthday cake",
"change_type": "object_change"
},
... | [{"subject": "family", "relation_type": "is eating", "object": "holiday meal", "negatives": [{"subject": "family", "relation_type": "is not eating", "object": "holiday meal", "change_type": "negation"}, {"subject": "family", "relation_type": "is preparing", "object": "holiday meal", "change_type": "antonym"}]}, {"subje... | [
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] |
coco_44577_421503 | A set table with breakfast foods and empty glasses. | datasets/COCO/train2014/COCO_train2014_000000165610.jpg | [
"set table",
"breakfast foods",
"empty glasses"
] | [
{
"positive": "set table",
"negative": "empty table",
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},
{
"positive": "set table",
"negative": "set bed",
"change_type": "object_change"
},
{
"positive": "breakfast foods",
"negative": "lunch foods",
"change_type": "object_change"
},
... | [{"subject": "set table", "relation_type": "has", "object": "breakfast foods", "negatives": [{"subject": "set table", "relation_type": "is without", "object": "breakfast foods", "change_type": "antonym"}, {"subject": "set table", "relation_type": "is not having", "object": "breakfast foods", "change_type": "negation"}]... | [
"A breakfast foods with set table and glasses empty .",
". set table with breakfast foods and empty glasses A",
"table set A with foods breakfast empty glasses and .",
". with breakfast foods A set table and empty glasses"
] |
coco_44577_422583 | A dinner set out at a table for four. | datasets/COCO/train2014/COCO_train2014_000000165610.jpg | [
"dinner set",
"table"
] | [
{
"positive": "dinner set",
"negative": "tea set",
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},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "bed",
"change_type": "object_change"
}
] | [{"subject": "dinner set", "relation_type": "is out at", "object": "table", "negatives": [{"subject": "dinner set", "relation_type": "is not out at", "object": "table", "change_type": "negation"}]}] | [
"A dinner set out at a table for four .",
"for dinner at A . four table set a out",
"set A dinner out a at for four table .",
"A dinner set out at a table for four ."
] |
coco_44577_423927 | A table of food on plates and some cups. | datasets/COCO/train2014/COCO_train2014_000000165610.jpg | [
"table of food",
"plates",
"cups"
] | [
{
"positive": "table of food",
"negative": "table of drinks",
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},
{
"positive": "table of food",
"negative": "table of fruits",
"change_type": "object_change"
},
{
"positive": "cups",
"negative": "bowls",
"change_type": "object_change"
}
] | [{"subject": "table of food", "relation_type": "is on", "object": "plates", "negatives": [{"subject": "table of food", "relation_type": "is under", "object": "plates", "change_type": "antonym"}, {"subject": "table of food", "relation_type": "is not on", "object": "plates", "change_type": "negation"}, {"subject": "plate... | [
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] |
coco_44577_428745 | a small table with food and drink on top | datasets/COCO/train2014/COCO_train2014_000000165610.jpg | [
"small table",
"food",
"drink"
] | [
{
"positive": "small table",
"negative": "large table",
"change_type": "attribute_change"
},
{
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"negative": "small chair",
"change_type": "object_change"
},
{
"positive": "drink",
"negative": "empty glass",
"change_type": "attribute_change"
}
] | [{"subject": "small table", "relation_type": "has", "object": "food", "negatives": [{"subject": "small table", "relation_type": "is without", "object": "food", "change_type": "antonym"}, {"subject": "small table", "relation_type": "is not having", "object": "food", "change_type": "negation"}]}, {"subject": "small table... | [
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"with small table a food on drink and top",
"small table a with food and top drink on",
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] |
coco_44577_432987 | Many dinner plates are around glasses and bread. | datasets/COCO/train2014/COCO_train2014_000000165610.jpg | [
"many dinner plates",
"glasses",
"bread"
] | [
{
"positive": "many dinner plates",
"negative": "few dinner plates",
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},
{
"positive": "many dinner plates",
"negative": "many soup bowls",
"change_type": "object_change"
},
{
"positive": "glasses",
"negative": "bowls",
"change_type": "obj... | [{"subject": "many dinner plates", "relation_type": "are around", "object": "glasses", "negatives": [{"subject": "many dinner plates", "relation_type": "are away from", "object": "glasses", "change_type": "antonym"}, {"subject": "many dinner plates", "relation_type": "are not around", "object": "glasses", "change_type"... | [
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"Many dinner plates . and glasses around bread are",
"Many dinner plates around glasses are bread and .",
"and bread . Many dinner plates are around glasses"
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coco_44578_170988 | Two adorable young women sitting at a table topped with food. | datasets/COCO/train2014/COCO_train2014_000000226442.jpg | [
"two adorable young women",
"table",
"food"
] | [
{
"positive": "two adorable young women",
"negative": "two adorable young men",
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},
{
"positive": "two adorable young women",
"negative": "two adorable young boys",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair",
... | [{"subject": "two adorable young women", "relation_type": "are sitting at", "object": "table", "negatives": [{"subject": "two adorable young women", "relation_type": "are standing at", "object": "table", "change_type": "antonym"}, {"subject": "two adorable young women", "relation_type": "are not sitting at", "object": ... | [
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"at adorable young women . a topped table with Two food sitting",
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"women sitting at a table topped with food . Two adorable young"
] |
coco_44578_184332 | two girls are smiling while having some soup | datasets/COCO/train2014/COCO_train2014_000000226442.jpg | [
"two girls",
"soup"
] | [
{
"positive": "two girls",
"negative": "one girl",
"change_type": "attribute_change"
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{
"positive": "two girls",
"negative": "two boys",
"change_type": "attribute_change"
},
{
"positive": "soup",
"negative": "salad",
"change_type": "object_change"
}
] | [{"subject": "two girls", "relation_type": "are smiling while having", "object": "soup", "negatives": [{"subject": "two girls", "relation_type": "are not smiling while having", "object": "soup", "change_type": "negation"}, {"subject": "two girls", "relation_type": "are frowning while having", "object": "soup", "change_... | [
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"having girls are while some two smiling soup",
"two girls are while smiling having some soup",
"some soup smiling while having two girls are"
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coco_44578_191829 | Two girls sit at a white table with a small basket of flowers on it. | datasets/COCO/train2014/COCO_train2014_000000226442.jpg | [
"two girls",
"white table",
"small basket of flowers"
] | [
{
"positive": "two girls",
"negative": "two boys",
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},
{
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"negative": "two women",
"change_type": "attribute_change"
},
{
"positive": "white table",
"negative": "black table",
"change_type": "attribute_change"
},
... | [{"subject": "two girls", "relation_type": "are sitting at", "object": "white table", "negatives": [{"subject": "two girls", "relation_type": "are standing at", "object": "white table", "change_type": "antonym"}, {"subject": "two girls", "relation_type": "are not sitting at", "object": "white table", "change_type": "ne... | [
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coco_44578_194040 | A pair of young girls eating soup at a table. | datasets/COCO/train2014/COCO_train2014_000000226442.jpg | [
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"soup",
"table"
] | [
{
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{
"positive": "a pair of young girls",
"negative": "a pair of old women",
"change_type": "attribute_change"
},
{
"positive": "a pair of young girls",
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] |
coco_44578_195807 | Two girls are sitting at a table eating | datasets/COCO/train2014/COCO_train2014_000000226442.jpg | [
"two girls",
"table"
] | [
{
"positive": "two girls",
"negative": "two boys",
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{
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"change_type": "attribute_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
}
] | [{"subject": "two girls", "relation_type": "are sitting at", "object": "table", "negatives": [{"subject": "two girls", "relation_type": "are standing at", "object": "table", "change_type": "antonym"}, {"subject": "two girls", "relation_type": "are not sitting at", "object": "table", "change_type": "negation"}, {"subjec... | [
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coco_44579_111011 | A woman and a girl sit at a table with food. | datasets/COCO/train2014/COCO_train2014_000000297104.jpg | [
"woman",
"girl",
"table",
"food"
] | [
{
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{
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"negative": "chair",
"change_type": "object_change"
},
{
"positive": "food",
"negative": "clothing",
"change_type": "object_change"
}
] | [{"subject": "woman", "relation_type": "is sitting at", "object": "table", "negatives": [{"subject": "woman", "relation_type": "is standing at", "object": "table", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not sitting at", "object": "table", "change_type": "negation"}]}, {"subject": "girl", "... | [
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"and woman A girl sit a at a table . with food",
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] |
coco_44579_112592 | Mother and daughter enjoying a sidewalk cafe meal | datasets/COCO/train2014/COCO_train2014_000000297104.jpg | [
"mother",
"daughter",
"sidewalk cafe meal"
] | [
{
"positive": "mother",
"negative": "father",
"change_type": "attribute_change"
},
{
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"negative": "sister",
"change_type": "object_change"
},
{
"positive": "daughter",
"negative": "son",
"change_type": "attribute_change"
},
{
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"Mother and meal enjoying a sidewalk daughter cafe",
"Mother and daughter a enjoying sidewalk cafe meal",
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] |
coco_44579_114551 | A woman has a large plate with a little food on it. | datasets/COCO/train2014/COCO_train2014_000000297104.jpg | [
"woman",
"large plate",
"little food"
] | [
{
"positive": "large plate",
"negative": "small plate",
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},
{
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"negative": "large bowl",
"change_type": "object_change"
},
{
"positive": "little food",
"negative": "large food",
"change_type": "attribute_change"
... | [{"subject": "woman", "relation_type": "has", "object": "large plate", "negatives": [{"subject": "woman", "relation_type": "is not having", "object": "large plate", "change_type": "negation"}, {"subject": "woman", "relation_type": "is without", "object": "large plate", "change_type": "antonym"}]}, {"subject": "large pl... | [
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] |
coco_44579_115415 | A woman and young girl sitting outside eating a meal. | datasets/COCO/train2014/COCO_train2014_000000297104.jpg | [
"woman",
"young girl",
"meal"
] | [
{
"positive": "woman",
"negative": "boy",
"change_type": "object_change"
},
{
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"change_type": "attribute_change"
},
{
"positive": "young girl",
"negative": "young boy",
"change_type": "attribute_change"
},
{
"positiv... | [{"subject": "woman", "relation_type": "is sitting with", "object": "young girl", "negatives": [{"subject": "woman", "relation_type": "is sitting apart from", "object": "young girl", "change_type": "antonym"}, {"subject": "woman", "relation_type": "is not sitting with", "object": "young girl", "change_type": "negation"... | [
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] |
coco_44580_114101 | A grilled fish on a table with bread and line wedges | datasets/COCO/train2014/COCO_train2014_000000012612.jpg | [
"grilled fish",
"table",
"bread",
"line wedges"
] | [
{
"positive": "grilled fish",
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{
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"negative": "grilled salmon",
"change_type": "attribute_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
... | [{"subject": "grilled fish", "relation_type": "is on", "object": "table", "negatives": [{"subject": "grilled fish", "relation_type": "is under", "object": "table", "change_type": "antonym"}, {"subject": "grilled fish", "relation_type": "is not on", "object": "table", "change_type": "negation"}, {"subject": "table", "re... | [
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coco_44580_141272 | A meal consists of cooked fish, lemon, and bread. | datasets/COCO/train2014/COCO_train2014_000000012612.jpg | [
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"cooked fish",
"lemon",
"bread"
] | [
{
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{
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"change_type": "object_change"
},
{
"positive": "lemon",
"negative": "orange",
"change_type": "object_change"
},
{
"positive": ... | [{"subject": "meal", "relation_type": "consists of", "object": "cooked fish", "negatives": [{"subject": "meal", "relation_type": "does not consist of", "object": "cooked fish", "change_type": "negation"}]}, {"subject": "meal", "relation_type": "consists of", "object": "lemon", "negatives": [{"subject": "meal", "relatio... | [
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coco_44580_143576 | A fish is being prepared next to a piece of bread. | datasets/COCO/train2014/COCO_train2014_000000012612.jpg | [
"fish",
"piece of bread"
] | [
{
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{
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"change_type": "object_change"
},
{
"positive": "piece of bread",
"negative": "piece of cake",
"change_type": "object_change"
},
... | [{"subject": "fish", "relation_type": "is being prepared next to", "object": "piece of bread", "negatives": [{"subject": "fish", "relation_type": "is being prepared away from", "object": "piece of bread", "change_type": "antonym"}, {"subject": "fish", "relation_type": "is not being prepared next to", "object": "piece o... | [
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coco_44580_156737 | an image of fish and other garnishment on display | datasets/COCO/train2014/COCO_train2014_000000012612.jpg | [
"fish",
"garnishment"
] | [
{
"positive": "fish",
"negative": "chicken",
"change_type": "object_change"
},
{
"positive": "garnishment",
"negative": "herb",
"change_type": "object_change"
}
] | [{"subject": "fish", "relation_type": "is with", "object": "garnishment", "negatives": [{"subject": "fish", "relation_type": "is without", "object": "garnishment", "change_type": "antonym"}, {"subject": "fish", "relation_type": "is away from", "object": "garnishment", "change_type": "antonym"}, {"subject": "fish", "rel... | [
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coco_44580_170516 | A meal of cooked fish with condiments and bread. | datasets/COCO/train2014/COCO_train2014_000000012612.jpg | [
"meal",
"cooked fish",
"condiments",
"bread"
] | [
{
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"negative": "snack",
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},
{
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"change_type": "object_change"
},
{
"positive": "condiments",
"negative": "vegetables",
"change_type": "object_change"
},
{
"po... | [{"subject": "meal", "relation_type": "includes", "object": "cooked fish", "negatives": [{"subject": "meal", "relation_type": "excludes", "object": "cooked fish", "change_type": "antonym"}, {"subject": "meal", "relation_type": "is not including", "object": "cooked fish", "change_type": "negation"}]}, {"subject": "meal"... | [
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coco_44581_136247 | A plate of food that is on a table. | datasets/COCO/train2014/COCO_train2014_000000338458.jpg | [
"plate of food",
"table"
] | [
{
"positive": "plate of food",
"negative": "plate of fruit",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
}
] | [{"subject": "plate of food", "relation_type": "is on", "object": "table", "negatives": [{"subject": "plate of food", "relation_type": "is under", "object": "table", "change_type": "antonym"}, {"subject": "plate of food", "relation_type": "is beside", "object": "table", "change_type": "antonym"}, {"subject": "plate of ... | [
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coco_44581_140102 | A blue and white plate holding rice and vegetables. | datasets/COCO/train2014/COCO_train2014_000000338458.jpg | [
"blue and white plate",
"rice",
"vegetables"
] | [
{
"positive": "blue and white plate",
"negative": "red and black bowl",
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},
{
"positive": "blue and white plate",
"negative": "blue and white cup",
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},
{
"positive": "rice",
"negative": "noodles",
"change_type... | [{"subject": "blue and white plate", "relation_type": "is holding", "object": "rice", "negatives": [{"subject": "blue and white plate", "relation_type": "is dropping", "object": "rice", "change_type": "antonym"}, {"subject": "blue and white plate", "relation_type": "is not holding", "object": "rice", "change_type": "ne... | [
"A rice and vegetables white holding blue and plate .",
"and blue and white plate . rice holding vegetables A",
"A and blue plate holding white vegetables rice and .",
". A blue and white plate holding rice and vegetables"
] |
coco_44581_142640 | A plate with mixed veggies and some kind of meat. | datasets/COCO/train2014/COCO_train2014_000000338458.jpg | [
"plate",
"mixed veggies",
"some kind of meat"
] | [
{
"positive": "plate",
"negative": "bowl",
"change_type": "object_change"
},
{
"positive": "mixed veggies",
"negative": "mixed fruits",
"change_type": "object_change"
},
{
"positive": "mixed veggies",
"negative": "grilled chicken",
"change_type": "object_change"
},
{
... | [{"subject": "plate", "relation_type": "has", "object": "mixed veggies", "negatives": [{"subject": "plate", "relation_type": "is empty of", "object": "mixed veggies", "change_type": "antonym"}, {"subject": "plate", "relation_type": "is not having", "object": "mixed veggies", "change_type": "negation"}]}, {"subject": "p... | [
"A plate with kind meat and some veggies of mixed .",
"some plate with mixed veggies of . kind and meat A",
"A with plate and mixed veggies kind of some . meat",
"some kind of A plate with mixed veggies and meat ."
] |
coco_44581_145148 | Vegetables, rice, and meat are on a decorated plate. | datasets/COCO/train2014/COCO_train2014_000000338458.jpg | [
"vegetables",
"rice",
"meat",
"decorated plate"
] | [
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_change"
},
{
"positive": "rice",
"negative": "broccoli",
"change_type": "object_change"
},
{
"positive": "meat",
"negative": "fruit",
"change_type": "object_change"
},
{
"positive": "decorate... | [{"subject": "vegetables", "relation_type": "are on", "object": "decorated plate", "negatives": [{"subject": "vegetables", "relation_type": "are under", "object": "decorated plate", "change_type": "antonym"}, {"subject": "vegetables", "relation_type": "are not on", "object": "decorated plate", "change_type": "negation"... | [
"meat , plate , and rice are on a decorated Vegetables .",
"Vegetables , rice and on meat . are , a plate decorated",
"Vegetables , rice and , meat are a on decorated . plate",
"are on a Vegetables , rice decorated plate . , and meat"
] |
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