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_41066_428923 | A baby in a high chair is sitting at a dining table. | datasets/COCO/train2014/COCO_train2014_000000098413.jpg | [
"baby",
"high chair",
"dining table"
] | [
{
"positive": "baby",
"negative": "child",
"change_type": "attribute_change"
},
{
"positive": "baby",
"negative": "adult",
"change_type": "attribute_change"
},
{
"positive": "high chair",
"negative": "high table",
"change_type": "attribute_change"
},
{
"positive":... | [{"subject": "baby", "relation_type": "is sitting in", "object": "high chair", "negatives": [{"subject": "baby", "relation_type": "is standing in", "object": "high chair", "change_type": "antonym"}, {"subject": "baby", "relation_type": "is not sitting in", "object": "high chair", "change_type": "negation"}]}, {"subject... | [
"A high in a dining baby is sitting at a chair table .",
"in baby sitting a high chair at A . a dining table is",
"baby in A chair a high is sitting at a dining table .",
"is sitting at A baby in a dining table . a high chair"
] |
coco_41067_296664 | A bowl of food placed alongside a plate of broccoli and carrots. | datasets/COCO/train2014/COCO_train2014_000000571885.jpg | [
"bowl of food",
"plate of broccoli and carrots"
] | [
{
"positive": "bowl of food",
"negative": "plate of food",
"change_type": "object_change"
},
{
"positive": "bowl of food",
"negative": "bowl of fruit",
"change_type": "attribute_change"
},
{
"positive": "plate of broccoli and carrots",
"negative": "plate of chicken and rice",... | [{"subject": "bowl of food", "relation_type": "is placed alongside", "object": "plate of broccoli and carrots", "negatives": [{"subject": "bowl of food", "relation_type": "is placed apart from", "object": "plate of broccoli and carrots", "change_type": "antonym"}, {"subject": "bowl of food", "relation_type": "is not pl... | [
"A food of carrots placed alongside a plate of bowl and broccoli .",
"A bowl alongside food of a placed plate . broccoli and carrots of",
"of bowl A placed alongside food plate of a and broccoli carrots .",
"food placed alongside broccoli and carrots . a plate of A bowl of"
] |
coco_41067_297135 | A glass casserole dish filled with food sits next to bowls of broccoli, cauliflower and carrot strips. | datasets/COCO/train2014/COCO_train2014_000000571885.jpg | [
"glass casserole dish",
"food",
"bowls of broccoli",
"cauliflower",
"carrot strips"
] | [
{
"positive": "glass casserole dish",
"negative": "ceramic casserole dish",
"change_type": "attribute_change"
},
{
"positive": "glass casserole dish",
"negative": "glass baking tray",
"change_type": "object_change"
},
{
"positive": "bowls of broccoli",
"negative": "bowls of c... | [{"subject": "glass casserole dish", "relation_type": "is filled with", "object": "food", "negatives": [{"subject": "glass casserole dish", "relation_type": "is empty of", "object": "food", "change_type": "antonym"}, {"subject": "glass casserole dish", "relation_type": "is not filled with", "object": "food", "change_ty... | [
"A food strips bowls filled with glass sits next to carrot of broccoli , casserole and dish cauliflower .",
". glass casserole dish with , food A and to bowls filled broccoli of cauliflower sits carrot strips next",
"glass casserole A filled with dish next sits food bowls to of , cauliflower broccoli and strips... |
coco_41067_298161 | A cooked dish of some kind sitting on a table with two bowls of fresh vegetables next to it. | datasets/COCO/train2014/COCO_train2014_000000571885.jpg | [
"a cooked dish of some kind",
"table",
"two bowls of fresh vegetables"
] | [
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
{
"positive": "two bowls of fresh vegetables",
"negative": "two plates of fresh fruits",
"change_type": "object_change"
}
] | [{"subject": "a cooked dish of some kind", "relation_type": "is sitting on", "object": "table", "negatives": [{"subject": "a cooked dish of some kind", "relation_type": "is standing on", "object": "table", "change_type": "antonym"}, {"subject": "a cooked dish of some kind", "relation_type": "is under", "object": "table... | [
"A cooked dish of some bowls sitting on a vegetables with two table of kind fresh next to it .",
"of next dish a on kind with it sitting table cooked to bowls two fresh vegetables A of some .",
"A dish cooked of kind some sitting on a with two table bowls fresh of vegetables next to . it",
"A cooked dish vege... |
coco_41067_298842 | A casserole with vegetables as a side dish. | datasets/COCO/train2014/COCO_train2014_000000571885.jpg | [
"casserole",
"vegetables"
] | [
{
"positive": "casserole",
"negative": "salad",
"change_type": "object_change"
},
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_change"
}
] | [{"subject": "casserole", "relation_type": "has", "object": "vegetables", "negatives": [{"subject": "casserole", "relation_type": "is without", "object": "vegetables", "change_type": "antonym"}, {"subject": "casserole", "relation_type": "does not have", "object": "vegetables", "change_type": "negation"}]}] | [
"A side with casserole as a dish vegetables .",
"with casserole a vegetables . A side dish as",
"A with casserole a as vegetables dish . side",
"A casserole with vegetables as a side dish ."
] |
coco_41067_298959 | A meat casserole sitting beside bowls of broccoli and carrots. | datasets/COCO/train2014/COCO_train2014_000000571885.jpg | [
"meat casserole",
"bowls of broccoli",
"carrots"
] | [
{
"positive": "meat casserole",
"negative": "vegetable casserole",
"change_type": "object_change"
},
{
"positive": "meat casserole",
"negative": "meat lasagna",
"change_type": "object_change"
},
{
"positive": "meat casserole",
"negative": "chicken casserole",
"change_type... | [{"subject": "meat casserole", "relation_type": "is sitting beside", "object": "bowls of broccoli", "negatives": [{"subject": "meat casserole", "relation_type": "is away from", "object": "bowls of broccoli", "change_type": "antonym"}, {"subject": "meat casserole", "relation_type": "is not sitting beside", "object": "bo... | [
"A casserole bowls sitting beside broccoli of carrots and meat .",
"and meat casserole A beside bowls . broccoli of carrots sitting",
"A meat casserole sitting beside bowls broccoli of and . carrots",
"of broccoli and carrots . A meat casserole sitting beside bowls"
] |
coco_41068_442349 | Three plates of food on a table with tablecloth. | datasets/COCO/train2014/COCO_train2014_000000310049.jpg | [
"three plates of food",
"table with tablecloth"
] | [
{
"positive": "three plates of food",
"negative": "two plates of food",
"change_type": "attribute_change"
},
{
"positive": "three plates of food",
"negative": "three bowls of food",
"change_type": "object_change"
}
] | [{"subject": "three plates of food", "relation_type": "are on", "object": "table with tablecloth", "negatives": [{"subject": "three plates of food", "relation_type": "are under", "object": "table with tablecloth", "change_type": "antonym"}, {"subject": "three plates of food", "relation_type": "are beside", "object": "t... | [
"Three food of table on a tablecloth with plates .",
"a plates with food Three . table of tablecloth on",
"Three of plates food a on tablecloth with table .",
"Three plates of food on a . table with tablecloth"
] |
coco_41068_443009 | Some plates of different food on a table. | datasets/COCO/train2014/COCO_train2014_000000310049.jpg | [
"some plates of different food",
"table"
] | [
{
"positive": "some plates of different food",
"negative": "some plates of different drinks",
"change_type": "object_change"
},
{
"positive": "some plates of different food",
"negative": "some bowls of different food",
"change_type": "attribute_change"
},
{
"positive": "table",
... | [{"subject": "some plates of different food", "relation_type": "are on", "object": "table", "negatives": [{"subject": "some plates of different food", "relation_type": "are under", "object": "table", "change_type": "antonym"}, {"subject": "some plates of different food", "relation_type": "are beside", "object": "table"... | [
"Some table of different food on a plates .",
". plates on different food a of table Some",
"of plates Some different on food . table a",
"different food on Some plates of a table ."
] |
coco_41068_445355 | There are three plates with food next to each other. | datasets/COCO/train2014/COCO_train2014_000000310049.jpg | [
"three plates with food"
] | [
{
"positive": "three plates with food",
"negative": "one plate with food",
"change_type": "attribute_change"
},
{
"positive": "three plates with food",
"negative": "three bowls with food",
"change_type": "object_change"
}
] | [] | [
"There are three food with other next to each plates .",
"each to . plates three food next with There other are",
"three There are plates food with each to next other .",
"plates with food There are three next to each other ."
] |
coco_41068_447029 | a close up of a plate of food with broccoli | datasets/COCO/train2014/COCO_train2014_000000310049.jpg | [
"close up",
"plate of food",
"broccoli"
] | [
{
"positive": "plate of food",
"negative": "plate of vegetables",
"change_type": "attribute_change"
},
{
"positive": "plate of food",
"negative": "plate of fruit",
"change_type": "object_change"
},
{
"positive": "broccoli",
"negative": "carrot",
"change_type": "object_cha... | [{"subject": "plate of food", "relation_type": "contains", "object": "broccoli", "negatives": [{"subject": "plate of food", "relation_type": "is empty of", "object": "broccoli", "change_type": "antonym"}, {"subject": "plate of food", "relation_type": "does not contain", "object": "broccoli", "change_type": "negation"}]... | [
"a food up of a plate of broccoli with close",
"with close a a of plate of food up broccoli",
"close a up of a plate food with of broccoli",
"of a plate of food with a close up broccoli"
] |
coco_41068_448322 | Three dishes of food are sitting on a table. | datasets/COCO/train2014/COCO_train2014_000000310049.jpg | [
"three dishes of food",
"table"
] | [
{
"positive": "three dishes of food",
"negative": "one dish of food",
"change_type": "attribute_change"
},
{
"positive": "three dishes of food",
"negative": "three books",
"change_type": "object_change"
},
{
"positive": "table",
"negative": "three chairs",
"change_type": ... | [{"subject": "three dishes of food", "relation_type": "are sitting on", "object": "table", "negatives": [{"subject": "three dishes of food", "relation_type": "are standing on", "object": "table", "change_type": "antonym"}, {"subject": "three dishes of food", "relation_type": "are under", "object": "table", "change_type... | [
"Three food of dishes are sitting on a table .",
"a dishes sitting food of on Three are table .",
"dishes Three of sitting food are on table a .",
"food are sitting Three dishes of . on a table"
] |
coco_41069_505496 | A table that has three plates of food on it | datasets/COCO/train2014/COCO_train2014_000000234749.jpg | [
"table",
"three plates of food"
] | [
{
"positive": "table",
"negative": "chair",
"change_type": "object_change"
},
{
"positive": "three plates of food",
"negative": "two plates of food",
"change_type": "attribute_change"
},
{
"positive": "three plates of food",
"negative": "three bowls of food",
"change_type... | [{"subject": "table", "relation_type": "has", "object": "three plates of food", "negatives": [{"subject": "table", "relation_type": "is without", "object": "three plates of food", "change_type": "antonym"}, {"subject": "table", "relation_type": "does not have", "object": "three plates of food", "change_type": "negation... | [
"A table that has three food of plates on it",
"has table on that three plates A food of it",
"table that A has three plates food of on it",
"of food on it has three plates A table that"
] |
coco_41069_506615 | A meal with soup and salad for lunch. | datasets/COCO/train2014/COCO_train2014_000000234749.jpg | [
"meal",
"soup",
"salad",
"lunch"
] | [
{
"positive": "meal",
"negative": "snack",
"change_type": "object_change"
},
{
"positive": "salad",
"negative": "fruit platter",
"change_type": "object_change"
},
{
"positive": "lunch",
"negative": "dinner",
"change_type": "object_change"
},
{
"positive": "lunch",... | [{"subject": "meal", "relation_type": "includes", "object": "soup", "negatives": [{"subject": "meal", "relation_type": "excludes", "object": "soup", "change_type": "antonym"}, {"subject": "meal", "relation_type": "is not including", "object": "soup", "change_type": "negation"}]}, {"subject": "meal", "relation_type": "i... | [
"A lunch with meal and salad for soup .",
". meal with soup A salad and lunch for",
"A meal with salad and soup lunch . for",
"for lunch . soup and salad A meal with"
] |
coco_41069_506714 | The plate of soup has sides of meat and vegetables. | datasets/COCO/train2014/COCO_train2014_000000234749.jpg | [
"plate of soup",
"sides of meat",
"vegetables"
] | [
{
"positive": "plate of soup",
"negative": "plate of salad",
"change_type": "object_change"
},
{
"positive": "sides of meat",
"negative": "sides of chicken",
"change_type": "attribute_change"
},
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_chan... | [{"subject": "plate of soup", "relation_type": "has", "object": "sides of meat", "negatives": []}, {"subject": "plate of soup", "relation_type": "has", "object": "vegetables", "negatives": []}] | [
"The soup of plate has sides of vegetables and meat .",
". plate The soup of sides and meat of vegetables has",
"plate The of soup sides has of and meat . vegetables",
"soup has sides vegetables . The plate of of meat and"
] |
coco_41069_508922 | A plate and two bowls filled with lots of food. | datasets/COCO/train2014/COCO_train2014_000000234749.jpg | [
"plate",
"two bowls",
"lots of food"
] | [
{
"positive": "lots of food",
"negative": "few food items",
"change_type": "attribute_change"
},
{
"positive": "lots of food",
"negative": "lots of drinks",
"change_type": "object_change"
}
] | [{"subject": "plate", "relation_type": "is filled with", "object": "lots of food", "negatives": [{"subject": "plate", "relation_type": "is empty of", "object": "lots of food", "change_type": "antonym"}, {"subject": "plate", "relation_type": "is not filled with", "object": "lots of food", "change_type": "negation"}]}, {... | [
"A lots and two bowls filled with food of plate .",
"of plate A with bowls . and lots two food filled",
"plate A and filled two bowls lots with of . food",
"food . A plate and two bowls filled with lots of"
] |
coco_41069_509807 | very well made food and salad besides it | datasets/COCO/train2014/COCO_train2014_000000234749.jpg | [
"very well made food",
"salad"
] | [
{
"positive": "very well made food",
"negative": "very well made cake",
"change_type": "object_change"
},
{
"positive": "salad",
"negative": "soup",
"change_type": "object_change"
},
{
"positive": "salad",
"negative": "steak",
"change_type": "object_change"
}
] | [{"subject": "very well made food", "relation_type": "is besides", "object": "salad", "negatives": [{"subject": "very well made food", "relation_type": "is away from", "object": "salad", "change_type": "antonym"}, {"subject": "very well made food", "relation_type": "is not besides", "object": "salad", "change_type": "n... | [
"very it besides food and salad well made",
"very made well and salad food it besides",
"food and salad very well made besides it"
] |
coco_41070_792798 | A group of Fuji Apples with Oriental writing on them. | datasets/COCO/train2014/COCO_train2014_000000434084.jpg | [
"group of Fuji Apples",
"Oriental writing"
] | [
{
"positive": "group of Fuji Apples",
"negative": "group of Honeycrisp Apples",
"change_type": "object_change"
},
{
"positive": "group of Fuji Apples",
"negative": "group of Fuji Oranges",
"change_type": "attribute_change"
},
{
"positive": "Oriental writing",
"negative": "Wes... | [{"subject": "group of Fuji Apples", "relation_type": "has", "object": "Oriental writing", "negatives": [{"subject": "group of Fuji Apples", "relation_type": "is without", "object": "Oriental writing", "change_type": "antonym"}, {"subject": "group of Fuji Apples", "relation_type": "does not have", "object": "Oriental w... | [
"A Apples of Oriental group with Fuji writing on them .",
"on group of Fuji Apples them Oriental writing A . with",
"of group A with Fuji Apples on writing Oriental them .",
"A group of Fuji Apples with Oriental writing on them ."
] |
coco_41070_798894 | A bunch of apples wrapped in cloth for sale. | datasets/COCO/train2014/COCO_train2014_000000434084.jpg | [
"a bunch of apples",
"cloth"
] | [
{
"positive": "a bunch of apples",
"negative": "a bunch of bananas",
"change_type": "object_change"
},
{
"positive": "a bunch of apples",
"negative": "a bunch of grapes",
"change_type": "object_change"
},
{
"positive": "a bunch of apples",
"negative": "a bunch of oranges",
... | [{"subject": "a bunch of apples", "relation_type": "is wrapped in", "object": "cloth", "negatives": [{"subject": "a bunch of apples", "relation_type": "is unwrapped from", "object": "cloth", "change_type": "antonym"}, {"subject": "a bunch of apples", "relation_type": "is not wrapped in", "object": "cloth", "change_type... | [
"A bunch of apples wrapped in sale for cloth .",
"wrapped bunch of apples . in cloth for sale A",
"A of bunch wrapped in apples sale for cloth .",
"cloth for sale apples wrapped in A bunch of ."
] |
coco_41070_806220 | A pile of Fuji apples for sale at a fruit vendor. | datasets/COCO/train2014/COCO_train2014_000000434084.jpg | [
"pile of Fuji apples",
"fruit vendor"
] | [
{
"positive": "pile of Fuji apples",
"negative": "pile of Granny Smith apples",
"change_type": "object_change"
},
{
"positive": "pile of Fuji apples",
"negative": "pile of oranges",
"change_type": "object_change"
},
{
"positive": "pile of Fuji apples",
"negative": "pile of re... | [{"subject": "pile of Fuji apples", "relation_type": "is for sale at", "object": "fruit vendor", "negatives": [{"subject": "pile of Fuji apples", "relation_type": "is not for sale at", "object": "fruit vendor", "change_type": "negation"}, {"subject": "pile of Fuji apples", "relation_type": "is not available at", "objec... | [
"A sale of Fuji vendor for apples at a fruit pile .",
". pile of Fuji apples A sale at a fruit vendor for",
"of pile A apples Fuji for sale a at . vendor fruit",
"Fuji apples for fruit vendor . sale at a A pile of"
] |
coco_41070_807126 | A display filled with lots of apples with Japanese symbols painted on them. | datasets/COCO/train2014/COCO_train2014_000000434084.jpg | [
"display",
"lots of apples",
"Japanese symbols"
] | [
{
"positive": "lots of apples",
"negative": "few oranges",
"change_type": "object_change"
},
{
"positive": "lots of apples",
"negative": "lots of bananas",
"change_type": "object_change"
},
{
"positive": "lots of apples",
"negative": "few apples",
"change_type": "attribut... | [{"subject": "display", "relation_type": "is filled with", "object": "lots of apples", "negatives": [{"subject": "display", "relation_type": "is empty of", "object": "lots of apples", "change_type": "antonym"}, {"subject": "display", "relation_type": "is not filled with", "object": "lots of apples", "change_type": "neg... | [
"A symbols filled with Japanese of apples with lots display painted on them .",
"on display them of lots with apples . Japanese symbols filled A with painted",
"display A filled with of lots with apples Japanese symbols painted on them .",
"with lots of symbols painted on apples with Japanese A display filled... |
coco_41070_807678 | A pile of apples that have some words in a foreign language on them. | datasets/COCO/train2014/COCO_train2014_000000434084.jpg | [
"pile of apples",
"words in a foreign language"
] | [
{
"positive": "pile of apples",
"negative": "pile of oranges",
"change_type": "object_change"
},
{
"positive": "pile of apples",
"negative": "pile of bananas",
"change_type": "object_change"
},
{
"positive": "words in a foreign language",
"negative": "words in a common langua... | [{"subject": "pile of apples", "relation_type": "have", "object": "words in a foreign language", "negatives": [{"subject": "pile of apples", "relation_type": "do not have", "object": "words in a foreign language", "change_type": "negation"}, {"subject": "pile of apples", "relation_type": "are without", "object": "words... | [
"A pile of apples that have some words in a foreign language on them .",
"a pile A apples of in . words have that foreign language on some them",
"A of pile that have apples words some in language foreign a . them on",
"apples that have on them . a foreign language A pile of some words in"
] |
coco_41071_35636 | A white plate filled with rice noodles meat and vegetables. | datasets/COCO/train2014/COCO_train2014_000000049851.jpg | [
"white plate",
"rice noodles meat and vegetables"
] | [
{
"positive": "white plate",
"negative": "black plate",
"change_type": "attribute_change"
},
{
"positive": "white plate",
"negative": "white bowl",
"change_type": "object_change"
},
{
"positive": "rice noodles meat and vegetables",
"negative": "rice noodles chicken and fruits... | [{"subject": "white plate", "relation_type": "is filled with", "object": "rice noodles meat and vegetables", "negatives": [{"subject": "white plate", "relation_type": "is empty of", "object": "rice noodles meat and vegetables", "change_type": "antonym"}, {"subject": "white plate", "relation_type": "is not filled with",... | [
"A plate noodles filled with rice vegetables white and meat .",
"A white plate filled . rice noodles meat with vegetables and",
"A plate white rice with filled and meat noodles . vegetables",
"filled with rice A white plate noodles meat and vegetables ."
] |
coco_41071_40139 | A plate of food with broccoli, noodles and meat. | datasets/COCO/train2014/COCO_train2014_000000049851.jpg | [
"plate of food",
"broccoli",
"noodles",
"meat"
] | [
{
"positive": "plate of food",
"negative": "plate of vegetables",
"change_type": "object_change"
},
{
"positive": "plate of food",
"negative": "plate of pasta",
"change_type": "object_change"
},
{
"positive": "plate of food",
"negative": "plate of fruit",
"change_type": "... | [{"subject": "plate of food", "relation_type": "contains", "object": "broccoli", "negatives": [{"subject": "plate of food", "relation_type": "is empty of", "object": "broccoli", "change_type": "antonym"}, {"subject": "plate of food", "relation_type": "is not containing", "object": "broccoli", "change_type": "negation"}... | [
"A food of plate with noodles , broccoli and meat .",
"A plate of food . broccoli , noodles and meat with",
"of A plate broccoli food with , and noodles meat .",
"food with broccoli meat . A plate of , noodles and"
] |
coco_41071_41306 | A very colorful dish meant to be eaten with chopsticks. | datasets/COCO/train2014/COCO_train2014_000000049851.jpg | [
"very colorful dish",
"chopsticks"
] | [
{
"positive": "very colorful dish",
"negative": "plain white plate",
"change_type": "object_change"
},
{
"positive": "very colorful dish",
"negative": "very colorful painting",
"change_type": "object_change"
},
{
"positive": "very colorful dish",
"negative": "very colorful cu... | [{"subject": "very colorful dish", "relation_type": "is meant to be eaten with", "object": "chopsticks", "negatives": [{"subject": "very colorful dish", "relation_type": "is not meant to be eaten with", "object": "chopsticks", "change_type": "negation"}, {"subject": "very colorful dish", "relation_type": "is meant to b... | [
"A very chopsticks dish meant to be eaten with colorful .",
". very colorful dish with meant to A eaten chopsticks be",
"A very colorful meant dish to eaten with be chopsticks .",
"dish meant to A very colorful be eaten with chopsticks ."
] |
coco_41071_42338 | This is an Asian dish with vegetables to be eaten with chopsticks. | datasets/COCO/train2014/COCO_train2014_000000049851.jpg | [
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"chopsticks"
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},
{
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{
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] |
coco_41071_44525 | A plate of curry chicken with a side of broccoli | datasets/COCO/train2014/COCO_train2014_000000049851.jpg | [
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"side of broccoli"
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{
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coco_41072_762374 | a plate of pasta with some chicken and broccoli mixed in with it | datasets/COCO/train2014/COCO_train2014_000000329004.jpg | [
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"chicken",
"broccoli"
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{
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coco_41072_766709 | A bowl of chicken and broccoli alfredo on fettuccine. | datasets/COCO/train2014/COCO_train2014_000000329004.jpg | [
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"fettuccine"
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{
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coco_41072_767342 | A bowl of noodles with chicken chunks and broccoli | datasets/COCO/train2014/COCO_train2014_000000329004.jpg | [
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"chicken chunks",
"broccoli"
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{
"positive": "chicken chunks",
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coco_41072_767675 | A dish of pasta with chicken, broccoli and cheese. | datasets/COCO/train2014/COCO_train2014_000000329004.jpg | [
"dish of pasta with chicken, broccoli and cheese"
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"positive": "dish of pasta with chicken, broccoli and cheese",
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coco_41072_772043 | THIS IS A UP CLOSE PHOTO OF A PLATE OF FOOD | datasets/COCO/train2014/COCO_train2014_000000329004.jpg | [
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] | [
{
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{
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] | [] | [
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"IS THIS A CLOSE UP PHOTO OF A PLATE OF FOOD",
"OF FOOD UP CLOSE PHOTO THIS IS A OF A PLATE"
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coco_41073_595253 | A skater grabs his board while jumping in the air. | datasets/COCO/train2014/COCO_train2014_000000157588.jpg | [
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"board"
] | [
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},
{
"positive": "board",
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}
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coco_41073_744563 | A professional skater in the air with his board. | datasets/COCO/train2014/COCO_train2014_000000157588.jpg | [
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{
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}
] | [{"subject": "professional skater", "relation_type": "is holding", "object": "board", "negatives": [{"subject": "professional skater", "relation_type": "is dropping", "object": "board", "change_type": "antonym"}, {"subject": "professional skater", "relation_type": "is not holding", "object": "board", "change_type": "ne... | [
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coco_41073_745835 | A person jumping out of a halfpipe on a skateboard. | datasets/COCO/train2014/COCO_train2014_000000157588.jpg | [
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"skateboard"
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{
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coco_41073_746894 | A man that is doing a trick on his skateboard. | datasets/COCO/train2014/COCO_train2014_000000157588.jpg | [
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coco_41073_747182 | a young man performing a jump at a skatepark | datasets/COCO/train2014/COCO_train2014_000000157588.jpg | [
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"skatepark"
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{
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}
] | [{"subject": "young man", "relation_type": "is performing", "object": "jump", "negatives": [{"subject": "young man", "relation_type": "is not performing", "object": "jump", "change_type": "negation"}, {"subject": "young man", "relation_type": "is falling", "object": "jump", "change_type": "antonym"}]}, {"subject": "you... | [
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coco_41074_33732 | Two young people pose while skiing in the snow. | datasets/COCO/train2014/COCO_train2014_000000230160.jpg | [
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"skiing in the snow"
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{
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{
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},
{
"positive": "skiing in the snow",
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coco_41074_38280 | two people posing in the snow while on skis | datasets/COCO/train2014/COCO_train2014_000000230160.jpg | [
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coco_41074_39327 | Two skiers pose beside each other on a slope. | datasets/COCO/train2014/COCO_train2014_000000230160.jpg | [
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"slope"
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},
{
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}
] | [{"subject": "two skiers", "relation_type": "are posing beside", "object": "slope", "negatives": [{"subject": "two skiers", "relation_type": "are not posing beside", "object": "slope", "change_type": "negation"}, {"subject": "two skiers", "relation_type": "are posing away from", "object": "slope", "change_type": "anton... | [
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". skiers beside each a other pose on slope Two",
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". on a slope Two skiers pose beside each other"
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coco_41074_39462 | Tow women posing in the snow with skis. | datasets/COCO/train2014/COCO_train2014_000000230160.jpg | [
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"skis"
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{
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{
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coco_41074_40302 | People posing atop a mountain while on skis. | datasets/COCO/train2014/COCO_train2014_000000230160.jpg | [
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"skis"
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{
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},
{
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coco_41075_311237 | a person jumping a skate board in the air | datasets/COCO/train2014/COCO_train2014_000000330436.jpg | [
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{
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coco_41075_314213 | This skateboarder is riding the side of his skateboard in the air. | datasets/COCO/train2014/COCO_train2014_000000330436.jpg | [
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coco_41075_316262 | The young man is riding his skateboard practicing his moves. | datasets/COCO/train2014/COCO_train2014_000000330436.jpg | [
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coco_41075_325535 | A skateboarder is airborne in front of a wall covered in graffiti. | datasets/COCO/train2014/COCO_train2014_000000330436.jpg | [
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coco_41075_326747 | A person jumping in the air on a skateboard. | datasets/COCO/train2014/COCO_train2014_000000330436.jpg | [
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"skateboard"
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coco_41076_313616 | A pasta noodle dish with chicken and vegetables | datasets/COCO/train2014/COCO_train2014_000000249141.jpg | [
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coco_41076_314123 | White bowl full of noodles, egg and broccoli. | datasets/COCO/train2014/COCO_train2014_000000249141.jpg | [
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coco_41076_315464 | A pasta dish with some green onion, broccoli and a wedge of lime. | datasets/COCO/train2014/COCO_train2014_000000249141.jpg | [
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"green onion",
"broccoli",
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{
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"change_type": "object_chang... | [{"subject": "pasta dish", "relation_type": "has", "object": "green onion", "negatives": [{"subject": "pasta dish", "relation_type": "does not have", "object": "green onion", "change_type": "negation"}, {"subject": "pasta dish", "relation_type": "is without", "object": "green onion", "change_type": "antonym"}]}, {"subj... | [
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"A pasta dish of with green onion , broccoli some . wedge a lime and",
"A pasta dish green some with , broccoli onion wedge and a . lime of",
"of lime . and a wedge A pasta dish with some green onion , broccoli"
] |
coco_41076_317519 | Delicious looking pasta with a variety of noodles | datasets/COCO/train2014/COCO_train2014_000000249141.jpg | [
"Delicious looking pasta",
"a variety of noodles"
] | [
{
"positive": "Delicious looking pasta",
"negative": "delicious looking pizza",
"change_type": "object_change"
},
{
"positive": "Delicious looking pasta",
"negative": "delicious looking soup",
"change_type": "object_change"
},
{
"positive": "a variety of noodles",
"negative":... | [{"subject": "Delicious looking pasta", "relation_type": "is with", "object": "a variety of noodles", "negatives": [{"subject": "Delicious looking pasta", "relation_type": "is without", "object": "a variety of noodles", "change_type": "antonym"}, {"subject": "Delicious looking pasta", "relation_type": "is not with", "o... | [
"pasta looking noodles with a variety of Delicious",
"Delicious of pasta looking with variety a noodles",
"looking Delicious pasta a with variety noodles of",
"with a variety Delicious looking pasta of noodles"
] |
coco_41076_319115 | Pasta with chicken and vegetables on a plate. | datasets/COCO/train2014/COCO_train2014_000000249141.jpg | [
"Pasta with chicken and vegetables",
"plate"
] | [
{
"positive": "Pasta with chicken and vegetables",
"negative": "Pasta with beef and vegetables",
"change_type": "object_change"
},
{
"positive": "Pasta with chicken and vegetables",
"negative": "Pasta with chicken and fruit",
"change_type": "object_change"
},
{
"positive": "plate... | [{"subject": "Pasta with chicken and vegetables", "relation_type": "is on", "object": "plate", "negatives": [{"subject": "Pasta with chicken and vegetables", "relation_type": "is under", "object": "plate", "change_type": "antonym"}, {"subject": "Pasta with chicken and vegetables", "relation_type": "is not on", "object"... | [
"Pasta with chicken and vegetables on a plate .",
"Pasta and chicken . vegetables with on plate a",
"Pasta chicken with on and vegetables a plate .",
"and vegetables on Pasta with chicken a plate ."
] |
coco_41077_300373 | a group of people riding up on a ski lift. | datasets/COCO/train2014/COCO_train2014_000000276749.jpg | [
"group of people",
"ski lift"
] | [
{
"positive": "ski lift",
"negative": "ski slope",
"change_type": "object_change"
},
{
"positive": "ski lift",
"negative": "ski resort",
"change_type": "object_change"
}
] | [{"subject": "group of people", "relation_type": "is riding on", "object": "ski lift", "negatives": [{"subject": "group of people", "relation_type": "is not riding on", "object": "ski lift", "change_type": "negation"}, {"subject": "group of people", "relation_type": "is walking towards", "object": "ski lift", "change_t... | [
"a ski of group riding up on a people lift .",
"of group . people a up a on ski lift riding",
"a of group people riding up ski on a . lift",
"lift . on a ski people riding up a group of"
] |
coco_41077_302749 | People is zip-lining in the air over the snow. | datasets/COCO/train2014/COCO_train2014_000000276749.jpg | [
"people",
"zip-lining",
"air",
"snow"
] | [
{
"positive": "zip-lining",
"negative": "skiing",
"change_type": "object_change"
},
{
"positive": "air",
"negative": "water",
"change_type": "object_change"
},
{
"positive": "air",
"negative": "land",
"change_type": "object_change"
},
{
"positive": "snow",
"ne... | [{"subject": "people", "relation_type": "is zip-lining in", "object": "air", "negatives": [{"subject": "people", "relation_type": "is not zip-lining in", "object": "air", "change_type": "negation"}]}, {"subject": "people", "relation_type": "is over", "object": "snow", "negatives": [{"subject": "people", "relation_type"... | [
"snow is People - zip in the air over the lining .",
"People the zip over lining - in air is . snow the",
"is People zip-lining the in air snow the over .",
"in the air . over the snow People is zip-lining"
] |
coco_41077_307519 | A lot of people riding ski lifts and standing on a ski slope. | datasets/COCO/train2014/COCO_train2014_000000276749.jpg | [
"a lot of people",
"ski lifts",
"ski slope"
] | [
{
"positive": "a lot of people",
"negative": "a few people",
"change_type": "attribute_change"
},
{
"positive": "a lot of people",
"negative": "a lot of skiers",
"change_type": "object_change"
},
{
"positive": "ski lifts",
"negative": "ski poles",
"change_type": "object_c... | [{"subject": "a lot of people", "relation_type": "are riding", "object": "ski lifts", "negatives": [{"subject": "a lot of people", "relation_type": "are not riding", "object": "ski lifts", "change_type": "negation"}, {"subject": "a lot of people", "relation_type": "are walking towards", "object": "ski lifts", "change_t... | [
"A ski of ski riding lifts lot and standing on a people slope .",
"riding lot and people a ski lifts of A . standing ski slope on",
"lot A of riding people ski standing lifts and a on ski slope .",
"people riding ski on a ski A lot of slope . lifts and standing"
] |
coco_41077_308083 | People packed in the seat of a ski lift while others are on the hill. | datasets/COCO/train2014/COCO_train2014_000000276749.jpg | [
"people",
"seat of a ski lift",
"others",
"hill"
] | [
{
"positive": "seat of a ski lift",
"negative": "seat of a bus",
"change_type": "object_change"
},
{
"positive": "hill",
"negative": "beach",
"change_type": "object_change"
},
{
"positive": "hill",
"negative": "mountain",
"change_type": "object_change"
}
] | [{"subject": "people", "relation_type": "are packed in", "object": "seat of a ski lift", "negatives": [{"subject": "people", "relation_type": "are not packed in", "object": "seat of a ski lift", "change_type": "negation"}, {"subject": "people", "relation_type": "are standing on", "object": "seat of a ski lift", "change... | [
"People packed in the seat of a hill lift while others are on the ski .",
"People on are the seat while in ski lift of others packed the . hill a",
"in packed People of the seat ski lift a are while others hill the on .",
"a ski lift while others are on the hill . People packed in the seat of"
] |
coco_41077_312004 | A bunch of skiers on a very steep snowy hill near a lift. | datasets/COCO/train2014/COCO_train2014_000000276749.jpg | [
"a bunch of skiers",
"very steep snowy hill",
"lift"
] | [
{
"positive": "a bunch of skiers",
"negative": "a group of hikers",
"change_type": "object_change"
},
{
"positive": "very steep snowy hill",
"negative": "flat sandy beach",
"change_type": "object_change"
},
{
"positive": "very steep snowy hill",
"negative": "very steep snowy ... | [{"subject": "a bunch of skiers", "relation_type": "is on", "object": "very steep snowy hill", "negatives": [{"subject": "a bunch of skiers", "relation_type": "is off", "object": "very steep snowy hill", "change_type": "antonym"}, {"subject": "a bunch of skiers", "relation_type": "is not on", "object": "very steep snow... | [
"A hill of steep on a very lift skiers bunch near a snowy .",
". bunch a skiers very a of steep snowy hill near on lift A",
"bunch of A a on skiers very snowy steep a near hill . lift",
"very steep snowy lift . skiers on a hill near a A bunch of"
] |
coco_41078_346425 | A girl is on skis while a dog stands behind her. | datasets/COCO/train2014/COCO_train2014_000000420939.jpg | [
"girl",
"skis",
"dog"
] | [
{
"positive": "girl",
"negative": "boy",
"change_type": "attribute_change"
},
{
"positive": "girl",
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},
{
"positive": "girl",
"negative": "man",
"change_type": "object_change"
},
{
"positive": "skis",
"nega... | [{"subject": "girl", "relation_type": "is on", "object": "skis", "negatives": [{"subject": "girl", "relation_type": "is under", "object": "skis", "change_type": "antonym"}, {"subject": "girl", "relation_type": "is not on", "object": "skis", "change_type": "negation"}]}, {"subject": "dog", "relation_type": "is behind", ... | [
"A girl is on skis while a dog stands behind her .",
"A girl her a skis is behind dog . on stands while",
"girl is A on while skis a stands dog her behind .",
"A girl is behind her . on skis while a dog stands"
] |
coco_41078_347835 | Small children in snow suits on skies, with a dog and an adult. | datasets/COCO/train2014/COCO_train2014_000000420939.jpg | [
"small children",
"snow suits",
"skies",
"dog",
"adult"
] | [
{
"positive": "small children",
"negative": "large children",
"change_type": "attribute_change"
},
{
"positive": "snow suits",
"negative": "swim suits",
"change_type": "object_change"
},
{
"positive": "snow suits",
"negative": "snow boots",
"change_type": "object_change"
... | [{"subject": "small children", "relation_type": "are wearing", "object": "snow suits", "negatives": [{"subject": "small children", "relation_type": "are not wearing", "object": "snow suits", "change_type": "negation"}, {"subject": "small children", "relation_type": "are taking off", "object": "snow suits", "change_type... | [
"skies suits in dog children on Small , with a adult and an snow .",
"Small children . snow suits in skies and an on dog a with adult ,",
"Small in children on suits snow skies with , dog and a an . adult",
"Small children in snow suits on a dog and an adult . skies , with"
] |
coco_41078_348366 | A young boy is playing on a pair of skis | datasets/COCO/train2014/COCO_train2014_000000420939.jpg | [
"young boy",
"pair of skis"
] | [
{
"positive": "young boy",
"negative": "young girl",
"change_type": "attribute_change"
},
{
"positive": "young boy",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "pair of skis",
"negative": "pair of snowboards",
"change_type": "object_change... | [{"subject": "young boy", "relation_type": "is playing on", "object": "pair of skis", "negatives": [{"subject": "young boy", "relation_type": "is not playing on", "object": "pair of skis", "change_type": "negation"}, {"subject": "young boy", "relation_type": "is away from", "object": "pair of skis", "change_type": "ant... | [
"A young boy on is playing a pair of skis",
"young boy A playing on is a of pair skis",
"is playing on a pair of A young boy skis"
] |
coco_41078_353184 | A young child riding skis in front of a dog. | datasets/COCO/train2014/COCO_train2014_000000420939.jpg | [
"young child",
"skis",
"dog"
] | [
{
"positive": "young child",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "young child",
"negative": "young woman",
"change_type": "attribute_change"
},
{
"positive": "skis",
"negative": "snowboard",
"change_type": "object_change"
},
{
... | [{"subject": "young child", "relation_type": "is riding", "object": "skis", "negatives": [{"subject": "young child", "relation_type": "is not riding", "object": "skis", "change_type": "negation"}, {"subject": "young child", "relation_type": "is walking", "object": "skis", "change_type": "antonym"}]}, {"subject": "young... | [
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"in young child riding skis . front of a dog A",
"child young A in skis riding front of a . dog",
"riding skis in A young child dog . front of a"
] |
coco_41078_356772 | A little dog is following a child on snow skis. | datasets/COCO/train2014/COCO_train2014_000000420939.jpg | [
"little dog",
"child",
"snow skis"
] | [
{
"positive": "little dog",
"negative": "big dog",
"change_type": "attribute_change"
},
{
"positive": "little dog",
"negative": "little cat",
"change_type": "object_change"
},
{
"positive": "child",
"negative": "adult",
"change_type": "attribute_change"
},
{
"posi... | [{"subject": "little dog", "relation_type": "is following", "object": "child", "negatives": [{"subject": "little dog", "relation_type": "is not following", "object": "child", "change_type": "negation"}, {"subject": "little dog", "relation_type": "is leading", "object": "child", "change_type": "antonym"}, {"subject": "c... | [
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"following little dog A is . child a snow skis on",
"little dog A is following a on child snow skis .",
"is following a A little dog child on snow skis ."
] |
coco_41079_621081 | A young man riding skis down a snow covered sidewalk. | datasets/COCO/train2014/COCO_train2014_000000303923.jpg | [
"young man",
"skis",
"snow covered sidewalk"
] | [
{
"positive": "young man",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "young man",
"negative": "young woman",
"change_type": "attribute_change"
},
{
"positive": "skis",
"negative": "snowboard",
"change_type": "object_change"
},
{
"po... | [{"subject": "young man", "relation_type": "is riding", "object": "skis", "negatives": [{"subject": "young man", "relation_type": "is not riding", "object": "skis", "change_type": "negation"}, {"subject": "young man", "relation_type": "is walking", "object": "skis", "change_type": "antonym"}]}, {"subject": "young man",... | [
"A young man riding sidewalk down a skis covered snow .",
"riding young man . skis down A snow covered sidewalk a",
"A young man down skis riding snow covered a . sidewalk",
"sidewalk . A young man riding skis down a snow covered"
] |
coco_41079_626733 | a little boy wearing a little pair of blue skis | datasets/COCO/train2014/COCO_train2014_000000303923.jpg | [
"a little boy",
"a little pair of blue skis"
] | [
{
"positive": "a little boy",
"negative": "a little girl",
"change_type": "attribute_change"
}
] | [{"subject": "a little boy", "relation_type": "is wearing", "object": "a little pair of blue skis", "negatives": [{"subject": "a little boy", "relation_type": "is not wearing", "object": "a little pair of blue skis", "change_type": "negation"}, {"subject": "a little boy", "relation_type": "is taking off", "object": "a ... | [
"a skis pair wearing a little little of boy blue",
"wearing little boy of a little pair a blue skis",
"little a boy a wearing little blue of pair skis",
"wearing a little pair of blue skis a little boy"
] |
coco_41079_627756 | A young skier tries out his skies near the building. | datasets/COCO/train2014/COCO_train2014_000000303923.jpg | [
"young skier",
"skies",
"building"
] | [
{
"positive": "young skier",
"negative": "old skier",
"change_type": "attribute_change"
},
{
"positive": "young skier",
"negative": "young cyclist",
"change_type": "object_change"
},
{
"positive": "skies",
"negative": "snowboard",
"change_type": "object_change"
},
{
... | [{"subject": "young skier", "relation_type": "is trying out", "object": "skies", "negatives": [{"subject": "young skier", "relation_type": "is not trying out", "object": "skies", "change_type": "negation"}]}, {"subject": "young skier", "relation_type": "is near", "object": "building", "negatives": [{"subject": "young s... | [
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"out young skier his the . skies near A building tries",
"A skier young out his tries near the skies building .",
"skies near the building . A young skier tries out his"
] |
coco_41079_628506 | A man, lady, and small boy in front of a cabin with the boy wearing skis. | datasets/COCO/train2014/COCO_train2014_000000303923.jpg | [
"man",
"lady",
"small boy",
"cabin",
"skis"
] | [
{
"positive": "man",
"negative": "child",
"change_type": "attribute_change"
},
{
"positive": "small boy",
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"change_type": "object_change"
},
{
"positive": "cabin",
"negative": "house",
"change_type": "object_change"
},
{
"positive": "skis"... | [{"subject": "small boy", "relation_type": "is wearing", "object": "skis", "negatives": []}, {"subject": "man", "relation_type": "is in front of", "object": "cabin", "negatives": []}, {"subject": "lady", "relation_type": "is in front of", "object": "cabin", "negatives": []}, {"subject": "small boy", "relation_type": "i... | [
"A boy , boy , and lady man in cabin of a small with the skis wearing front .",
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"cabin with the A man , front of a lady , and small boy in . boy weari... |
coco_41079_628629 | A man and woman smile near a child wearing skis and ski poles. | datasets/COCO/train2014/COCO_train2014_000000303923.jpg | [
"man",
"woman",
"child",
"skis",
"ski poles"
] | [
{
"positive": "child",
"negative": "adult",
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{
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"change_type": "object_change"
},
{
"positive": "ski poles",
"negative": "ski boots",
"change_type": "object_change"
},
{
"positive": "ski ... | [{"subject": "man", "relation_type": "is near", "object": "child", "negatives": [{"subject": "man", "relation_type": "is far from", "object": "child", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not near", "object": "child", "change_type": "negation"}]}, {"subject": "woman", "relation_type": "is ... | [
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"poles . a child wearing skis and ski A man and woman smile near"
] |
coco_41080_135194 | A person that is laying in the snow. | datasets/COCO/train2014/COCO_train2014_000000330187.jpg | [
"person",
"snow"
] | [
{
"positive": "snow",
"negative": "rain",
"change_type": "object_change"
}
] | [{"subject": "person", "relation_type": "is laying in", "object": "snow", "negatives": [{"subject": "person", "relation_type": "is standing in", "object": "snow", "change_type": "antonym"}, {"subject": "person", "relation_type": "is not laying in", "object": "snow", "change_type": "negation"}, {"subject": "snow", "rela... | [
"A person that is laying in the snow .",
"laying person in . the is A snow that",
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"A person that is laying in the snow ."
] |
coco_41080_138677 | A child is lying in there back with skies in the snow | datasets/COCO/train2014/COCO_train2014_000000330187.jpg | [
"child",
"back",
"skies",
"snow"
] | [
{
"positive": "child",
"negative": "adult",
"change_type": "object_change"
},
{
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},
{
"positive": "skies",
"negative": "stars",
"change_type": "object_change"
},
{
"positive": "snow",
"ne... | [{"subject": "child", "relation_type": "is lying on", "object": "back", "negatives": [{"subject": "child", "relation_type": "is standing on", "object": "back", "change_type": "antonym"}, {"subject": "child", "relation_type": "is not lying on", "object": "back", "change_type": "negation"}]}, {"subject": "skies", "relati... | [
"lying child with in back in there the skies A is snow",
"A is child lying there in with back skies the in snow",
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] |
coco_41080_141113 | a child wearing skis on its back on the ground | datasets/COCO/train2014/COCO_train2014_000000330187.jpg | [
"child",
"skis",
"ground"
] | [
{
"positive": "ground",
"negative": "sky",
"change_type": "object_change"
},
{
"positive": "ground",
"negative": "water",
"change_type": "object_change"
}
] | [{"subject": "child", "relation_type": "is wearing", "object": "skis", "negatives": [{"subject": "child", "relation_type": "is not wearing", "object": "skis", "change_type": "negation"}, {"subject": "child", "relation_type": "is carrying", "object": "skis", "change_type": "antonym"}]}, {"subject": "child", "relation_ty... | [
"a back wearing skis on its child on the ground",
"the child its skis on wearing back on a ground",
"child wearing a its on skis the back on ground",
"back on the ground a child wearing skis on its"
] |
coco_41080_143921 | There is a child on skis laying in the snow. | datasets/COCO/train2014/COCO_train2014_000000330187.jpg | [
"child on skis",
"snow"
] | [
{
"positive": "child on skis",
"negative": "child on a bike",
"change_type": "object_change"
},
{
"positive": "child on skis",
"negative": "adult on skis",
"change_type": "attribute_change"
},
{
"positive": "snow",
"negative": "sand",
"change_type": "object_change"
}
] | [{"subject": "child on skis", "relation_type": "is laying in", "object": "snow", "negatives": [{"subject": "child on skis", "relation_type": "is standing in", "object": "snow", "change_type": "antonym"}, {"subject": "child on skis", "relation_type": "is not laying in", "object": "snow", "change_type": "negation"}, {"su... | [
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". on in child There skis laying the is snow a",
"There a is skis child on laying in the . snow",
"child on skis snow . There is a laying in the"
] |
coco_41080_149537 | a young girl has fallen trying to ski in the snow | datasets/COCO/train2014/COCO_train2014_000000330187.jpg | [
"a young girl",
"ski",
"snow"
] | [
{
"positive": "a young girl",
"negative": "a young boy",
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{
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"change_type": "attribute_change"
},
{
"positive": "ski",
"negative": "swim",
"change_type": "object_change"
},
{
... | [{"subject": "a young girl", "relation_type": "has fallen trying to ski", "object": "ski", "negatives": [{"subject": "a young girl", "relation_type": "is standing up after skiing", "object": "ski", "change_type": "antonym"}, {"subject": "a young girl", "relation_type": "is not fallen trying to ski", "object": "ski", "c... | [
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"a girl young has trying fallen to ski in snow the",
"a young girl the snow to ski in has fallen trying"
] |
coco_41081_169689 | A man standing on a stage holding up a skateboard. | datasets/COCO/train2014/COCO_train2014_000000017566.jpg | [
"man",
"stage",
"skateboard"
] | [
{
"positive": "skateboard",
"negative": "bicycle",
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}
] | [{"subject": "man", "relation_type": "is standing on", "object": "stage", "negatives": [{"subject": "man", "relation_type": "is sitting on", "object": "stage", "change_type": "antonym"}, {"subject": "man", "relation_type": "is under", "object": "stage", "change_type": "antonym"}, {"subject": "man", "relation_type": "is... | [
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"skateboard . on a stage A man standing holding up a"
] |
coco_41081_176382 | A man standing on a stage and holding a skateboard in one hand. | datasets/COCO/train2014/COCO_train2014_000000017566.jpg | [
"man",
"stage",
"skateboard"
] | [
{
"positive": "skateboard",
"negative": "bicycle",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is standing on", "object": "stage", "negatives": [{"subject": "man", "relation_type": "is sitting on", "object": "stage", "change_type": "antonym"}, {"subject": "man", "relation_type": "is under", "object": "stage", "change_type": "antonym"}, {"subject": "man", "relation_type": "is... | [
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"A man holding on . stage one a a skateboard standing in hand and",
"A man standing on stage a holding a and one in skateboard . hand",
"and holding a A man standing on a stage skateboard in one hand ."
] |
coco_41081_178839 | A man holds a skateboard in his hand. | datasets/COCO/train2014/COCO_train2014_000000017566.jpg | [
"man",
"skateboard"
] | [
{
"positive": "skateboard",
"negative": "bicycle",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is holding", "object": "skateboard", "negatives": [{"subject": "man", "relation_type": "is dropping", "object": "skateboard", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not holding", "object": "skateboard", "change_type": "negation"}, {"subject": "skateboard... | [
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"in man A . skateboard holds his hand a",
"man holds A a in skateboard hand . his",
"A man holds his hand . a skateboard in"
] |
coco_41081_179154 | A man standing with a skateboard in his hand. | datasets/COCO/train2014/COCO_train2014_000000017566.jpg | [
"man",
"skateboard"
] | [
{
"positive": "skateboard",
"negative": "bicycle",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is holding", "object": "skateboard", "negatives": [{"subject": "man", "relation_type": "is dropping", "object": "skateboard", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not holding", "object": "skateboard", "change_type": "negation"}, {"subject": "skateboard... | [
"A man standing with a hand in his skateboard .",
". man A standing with skateboard his in hand a",
"A standing man a skateboard with hand in his .",
"with a skateboard A man standing in his hand ."
] |
coco_41081_179385 | A man in front of a projector holding a skateboard. | datasets/COCO/train2014/COCO_train2014_000000017566.jpg | [
"man",
"projector",
"skateboard"
] | [
{
"positive": "projector",
"negative": "television",
"change_type": "object_change"
},
{
"positive": "skateboard",
"negative": "rollerblades",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is in front of", "object": "projector", "negatives": [{"subject": "man", "relation_type": "is behind", "object": "projector", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not in front of", "object": "projector", "change_type": "negation"}, {"subject": "project... | [
"A skateboard in man of a front holding a projector .",
"a man A front in . projector of a skateboard holding",
"A in man of a front a projector holding skateboard .",
"front of a A man in projector holding a skateboard ."
] |
coco_41082_581406 | A boy and a girl sitting on a skateboard. | datasets/COCO/train2014/COCO_train2014_000000175118.jpg | [
"boy",
"girl",
"skateboard"
] | [
{
"positive": "skateboard",
"negative": "bike",
"change_type": "object_change"
}
] | [{"subject": "boy", "relation_type": "is sitting on", "object": "skateboard", "negatives": [{"subject": "boy", "relation_type": "is standing on", "object": "skateboard", "change_type": "antonym"}, {"subject": "boy", "relation_type": "is not sitting on", "object": "skateboard", "change_type": "negation"}, {"subject": "s... | [
"A boy and a skateboard sitting on a girl .",
". boy and on girl a A a skateboard sitting",
"and boy A girl sitting a on skateboard a .",
"on a skateboard A boy and . a girl sitting"
] |
coco_41082_584412 | a small girl and boy are sitting on a green skateboard | datasets/COCO/train2014/COCO_train2014_000000175118.jpg | [
"a small girl",
"a boy",
"a green skateboard"
] | [
{
"positive": "a small girl",
"negative": "a small woman",
"change_type": "object_change"
},
{
"positive": "a boy",
"negative": "a man",
"change_type": "attribute_change"
},
{
"positive": "a green skateboard",
"negative": "a red skateboard",
"change_type": "attribute_chan... | [{"subject": "a small girl", "relation_type": "is sitting on", "object": "a green skateboard", "negatives": [{"subject": "a small girl", "relation_type": "is standing on", "object": "a green skateboard", "change_type": "antonym"}, {"subject": "a small girl", "relation_type": "is not sitting on", "object": "a green skat... | [
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"are small girl on boy and a sitting a green skateboard",
"small girl a boy are and sitting on a skateboard green",
"and boy are a small girl green skateboard sitting on a"
] |
coco_41082_585024 | A boy and girl sitting on top of a skateboard. | datasets/COCO/train2014/COCO_train2014_000000175118.jpg | [
"boy",
"girl",
"skateboard"
] | [
{
"positive": "skateboard",
"negative": "bike",
"change_type": "object_change"
}
] | [{"subject": "boy", "relation_type": "is sitting on", "object": "skateboard", "negatives": [{"subject": "boy", "relation_type": "is standing on", "object": "skateboard", "change_type": "antonym"}, {"subject": "boy", "relation_type": "is not sitting on", "object": "skateboard", "change_type": "negation"}, {"subject": "s... | [
"A boy and skateboard sitting on girl of a top .",
"of boy a girl on . top sitting A skateboard and",
"A and boy girl on sitting a of top . skateboard",
"girl sitting on top of a A boy and skateboard ."
] |
coco_41082_586245 | A young girl and boy sitting on a skateboard and hugging. | datasets/COCO/train2014/COCO_train2014_000000175118.jpg | [
"young girl",
"boy",
"skateboard"
] | [
{
"positive": "young girl",
"negative": "old man",
"change_type": "attribute_change"
},
{
"positive": "boy",
"negative": "young man",
"change_type": "attribute_change"
},
{
"positive": "skateboard",
"negative": "bicycle",
"change_type": "object_change"
}
] | [{"subject": "young girl", "relation_type": "is sitting on", "object": "skateboard", "negatives": []}, {"subject": "boy", "relation_type": "is sitting on", "object": "skateboard", "negatives": []}, {"subject": "young girl", "relation_type": "is hugging", "object": "boy", "negatives": []}] | [
"A boy skateboard and girl sitting on a young and hugging .",
"sitting young girl hugging boy . a A skateboard on and and",
"A young girl sitting boy and skateboard on a . and hugging",
"and hugging . on a skateboard and boy sitting A young girl"
] |
coco_41082_587025 | A boy and a girl sitting on a skateboard in front a wall with graffiti on it. | datasets/COCO/train2014/COCO_train2014_000000175118.jpg | [
"boy",
"girl",
"skateboard",
"wall with graffiti"
] | [
{
"positive": "skateboard",
"negative": "rollerblades",
"change_type": "object_change"
},
{
"positive": "wall with graffiti",
"negative": "wall with paint",
"change_type": "attribute_change"
},
{
"positive": "wall with graffiti",
"negative": "wall with flowers",
"change_t... | [{"subject": "boy", "relation_type": "is sitting on", "object": "skateboard", "negatives": []}, {"subject": "girl", "relation_type": "is sitting on", "object": "skateboard", "negatives": []}, {"subject": "skateboard", "relation_type": "is in front of", "object": "wall with graffiti", "negatives": []}] | [
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"A boy and sitting girl a on skateboard a a front in with wall graffiti on . it",
"A boy and in front a a girl sitting on it . on a skateboard wal... |
coco_41083_83358 | A family posing for a picture in front of a wall with a painting. | datasets/COCO/train2014/COCO_train2014_000000080134.jpg | [
"family",
"wall",
"painting"
] | [
{
"positive": "family",
"negative": "group of friends",
"change_type": "object_change"
},
{
"positive": "wall",
"negative": "floor",
"change_type": "object_change"
},
{
"positive": "wall",
"negative": "ceiling",
"change_type": "object_change"
},
{
"positive": "pai... | [{"subject": "family", "relation_type": "is posing for a picture in front of", "object": "wall", "negatives": [{"subject": "family", "relation_type": "is not posing for a picture in front of", "object": "wall", "change_type": "negation"}, {"subject": "family", "relation_type": "is walking away from", "object": "wall", ... | [
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"a family with for of picture . front A posing wall in a painting a",
"posing family A picture for a front of in a with wall a painting .",
"in front of a painting . for a picture a wall with A family posing"
] |
coco_41083_85968 | the family is posing for an unusual picture. | datasets/COCO/train2014/COCO_train2014_000000080134.jpg | [
"family"
] | [
{
"positive": "family",
"negative": "group of friends",
"change_type": "object_change"
}
] | [] | [
"the picture is posing for an family unusual .",
"for family an is . posing unusual picture the",
"family is the for an posing unusual picture .",
"the family is unusual picture . posing for an"
] |
coco_41083_86133 | Two children sit on a skateboard together, their parents are behind them. | datasets/COCO/train2014/COCO_train2014_000000080134.jpg | [
"two children",
"skateboard",
"parents"
] | [
{
"positive": "two children",
"negative": "two adults",
"change_type": "object_change"
},
{
"positive": "two children",
"negative": "one child",
"change_type": "attribute_change"
},
{
"positive": "skateboard",
"negative": "bicycle",
"change_type": "object_change"
},
{... | [{"subject": "two children", "relation_type": "are sitting on", "object": "skateboard", "negatives": [{"subject": "two children", "relation_type": "are standing on", "object": "skateboard", "change_type": "antonym"}, {"subject": "two children", "relation_type": "are not sitting on", "object": "skateboard", "change_type... | [
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", children are together behind skateboard their Two sit parents them a on .",
"children Two sit on skateboard a , their together parents are behind them .",
"parents are behind Two children sit them . together , their on a skatebo... |
coco_41083_86745 | A man and a woman and two children sitting on a skateboard in front of graffiti. | datasets/COCO/train2014/COCO_train2014_000000080134.jpg | [
"man",
"woman",
"two children",
"skateboard",
"graffiti"
] | [
{
"positive": "two children",
"negative": "one child",
"change_type": "attribute_change"
},
{
"positive": "two children",
"negative": "two adults",
"change_type": "object_change"
},
{
"positive": "skateboard",
"negative": "bike",
"change_type": "object_change"
}
] | [{"subject": "man", "relation_type": "is sitting on", "object": "skateboard", "negatives": [{"subject": "man", "relation_type": "is standing on", "object": "skateboard", "change_type": "antonym"}, {"subject": "man", "relation_type": "is not sitting on", "object": "skateboard", "change_type": "negation"}]}, {"subject": ... | [
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". man a on woman and sitting children A of two skateboard and front a graffiti in",
"and man A and a woman two sitting children on skateboard a of front in graffiti .",
"A man and in front of two children sitting graffiti . ... |
coco_41083_87918 | a fmily sit on the ground in front of a wall with graffiti on it | datasets/COCO/train2014/COCO_train2014_000000080134.jpg | [
"a family",
"the ground",
"a wall",
"graffiti"
] | [
{
"positive": "a family",
"negative": "a group of friends",
"change_type": "object_change"
},
{
"positive": "the ground",
"negative": "the bed",
"change_type": "object_change"
},
{
"positive": "the ground",
"negative": "the grass",
"change_type": "object_change"
},
{
... | [{"subject": "a family", "relation_type": "is sitting on", "object": "the ground", "negatives": [{"subject": "a family", "relation_type": "is standing on", "object": "the ground", "change_type": "antonym"}, {"subject": "a family", "relation_type": "is not sitting on", "object": "the ground", "change_type": "negation"}]... | [
"a fmily graffiti on the ground in sit of a wall with front on it",
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"fmily sit a on the ground of front in with a wall on it graffiti",
"a wall with on the ground graffiti on it a fmily sit in front of"
] |
coco_41084_437457 | A couple of blue plastic containers filled with food. | datasets/COCO/train2014/COCO_train2014_000000395030.jpg | [
"a couple of blue plastic containers",
"food"
] | [
{
"positive": "a couple of blue plastic containers",
"negative": "a couple of red metal containers",
"change_type": "attribute_change"
}
] | [{"subject": "a couple of blue plastic containers", "relation_type": "are filled with", "object": "food", "negatives": [{"subject": "a couple of blue plastic containers", "relation_type": "are empty of", "object": "food", "change_type": "antonym"}, {"subject": "a couple of blue plastic containers", "relation_type": "ar... | [
"A plastic of couple containers food filled with blue .",
"of couple with blue plastic containers filled A food .",
"A couple of blue containers plastic with food filled .",
"filled with food A couple of blue plastic containers ."
] |
coco_41084_439827 | A meal with hello kitty in the plate behind the dish. | datasets/COCO/train2014/COCO_train2014_000000395030.jpg | [
"meal",
"hello kitty",
"plate",
"dish"
] | [
{
"positive": "meal",
"negative": "snack",
"change_type": "object_change"
},
{
"positive": "hello kitty",
"negative": "hello panda",
"change_type": "object_change"
},
{
"positive": "plate",
"negative": "bowl",
"change_type": "object_change"
},
{
"positive": "dish"... | [{"subject": "hello kitty", "relation_type": "is in", "object": "plate", "negatives": [{"subject": "hello kitty", "relation_type": "is outside", "object": "plate", "change_type": "antonym"}, {"subject": "hello kitty", "relation_type": "is not in", "object": "plate", "change_type": "negation"}]}, {"subject": "plate", "r... | [
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". meal behind A kitty in the plate hello with dish the",
"A with meal in hello kitty plate behind the . the dish",
"the plate behind A meal with the dish . hello kitty in"
] |
coco_41084_442446 | A lunchbox with food items are shown inside. | datasets/COCO/train2014/COCO_train2014_000000395030.jpg | [
"lunchbox",
"food items"
] | [
{
"positive": "lunchbox",
"negative": "shopping bag",
"change_type": "object_change"
}
] | [{"subject": "lunchbox", "relation_type": "contains", "object": "food items", "negatives": [{"subject": "lunchbox", "relation_type": "is empty of", "object": "food items", "change_type": "antonym"}, {"subject": "lunchbox", "relation_type": "does not contain", "object": "food items", "change_type": "negation"}, {"subjec... | [
"A lunchbox with items food are shown inside .",
"inside lunchbox . food items with shown A are",
"A lunchbox with food items are . inside shown",
"food items are A lunchbox with shown inside ."
] |
coco_41084_442656 | A very appealing Japanese bento lunch that's sitting on a table. | datasets/COCO/train2014/COCO_train2014_000000395030.jpg | [
"Japanese bento lunch",
"table"
] | [
{
"positive": "Japanese bento lunch",
"negative": "Italian pasta dish",
"change_type": "object_change"
},
{
"positive": "Japanese bento lunch",
"negative": "Japanese bento dinner",
"change_type": "attribute_change"
},
{
"positive": "table",
"negative": "chair",
"change_ty... | [{"subject": "Japanese bento lunch", "relation_type": "is sitting on", "object": "table", "negatives": [{"subject": "Japanese bento lunch", "relation_type": "is standing on", "object": "table", "change_type": "antonym"}, {"subject": "Japanese bento lunch", "relation_type": "is under", "object": "table", "change_type": ... | [
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"that very appealing Japanese bento lunch on 's a sitting . table A",
"very A appealing Japanese lunch bento sitting 's that a on table .",
"on a table Japanese bento lunch A very appealing . that 's sitting"
] |
coco_41084_442719 | Two cartons of food with some cute little characters. | datasets/COCO/train2014/COCO_train2014_000000395030.jpg | [
"two cartons of food",
"cute little characters"
] | [
{
"positive": "two cartons of food",
"negative": "two boxes of toys",
"change_type": "object_change"
},
{
"positive": "two cartons of food",
"negative": "three cartons of food",
"change_type": "attribute_change"
},
{
"positive": "cute little characters",
"negative": "scary mo... | [{"subject": "two cartons of food", "relation_type": "have", "object": "cute little characters", "negatives": [{"subject": "two cartons of food", "relation_type": "do not have", "object": "cute little characters", "change_type": "negation"}, {"subject": "two cartons of food", "relation_type": "are without", "object": "... | [
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"some cartons Two food of with cute little characters .",
"Two of cartons some with food little cute characters .",
"Two cartons of . cute little characters food with some"
] |
coco_41085_288530 | A blender filled with various vegetables that haven't been blended. | datasets/COCO/train2014/COCO_train2014_000000373511.jpg | [
"blender",
"various vegetables"
] | [
{
"positive": "blender",
"negative": "food processor",
"change_type": "object_change"
},
{
"positive": "various vegetables",
"negative": "different fruits",
"change_type": "object_change"
}
] | [{"subject": "blender", "relation_type": "is filled with", "object": "various vegetables", "negatives": [{"subject": "blender", "relation_type": "is empty of", "object": "various vegetables", "change_type": "antonym"}, {"subject": "blender", "relation_type": "is not filled with", "object": "various vegetables", "change... | [
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"blended blender n't with various vegetables been filled A that have .",
"blender filled A various vegetables with have that n't been . blended",
"A blender filled been blended . that have n't with various vegetables"
] |
coco_41085_288932 | A blender filled with many types of vegetables. | datasets/COCO/train2014/COCO_train2014_000000373511.jpg | [
"blender",
"many types of vegetables"
] | [
{
"positive": "blender",
"negative": "mixer",
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},
{
"positive": "many types of vegetables",
"negative": "many types of fruits",
"change_type": "object_change"
},
{
"positive": "many types of vegetables",
"negative": "few types of vegetables",
... | [{"subject": "blender", "relation_type": "is filled with", "object": "many types of vegetables", "negatives": [{"subject": "blender", "relation_type": "is empty of", "object": "many types of vegetables", "change_type": "antonym"}, {"subject": "blender", "relation_type": "is not filled with", "object": "many types of ve... | [
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"of blender . filled many types A vegetables with",
"blender filled A with many types vegetables . of",
"A blender filled of vegetables . with many types"
] |
coco_41085_289517 | Vegetables are cut up and put into a blender. | datasets/COCO/train2014/COCO_train2014_000000373511.jpg | [
"vegetables",
"blender"
] | [
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_change"
},
{
"positive": "blender",
"negative": "food processor",
"change_type": "object_change"
}
] | [{"subject": "vegetables", "relation_type": "are cut up and put into", "object": "blender", "negatives": [{"subject": "vegetables", "relation_type": "are not cut up and put into", "object": "blender", "change_type": "negation"}, {"subject": "vegetables", "relation_type": "are whole and taken out of", "object": "blender... | [
"blender are cut up and put into a Vegetables .",
"Vegetables are . into up a cut and blender put",
"are Vegetables cut put and up into a blender .",
". Vegetables are cut into a blender up and put"
] |
coco_41085_290576 | A blender full of vegetables is shown with ice. | datasets/COCO/train2014/COCO_train2014_000000373511.jpg | [
"blender",
"vegetables",
"ice"
] | [
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_change"
},
{
"positive": "ice",
"negative": "vegetable soup",
"change_type": "object_change"
}
] | [{"subject": "blender", "relation_type": "is full of", "object": "vegetables", "negatives": [{"subject": "blender", "relation_type": "is empty of", "object": "vegetables", "change_type": "antonym"}, {"subject": "blender", "relation_type": "is not full of", "object": "vegetables", "change_type": "negation"}]}, {"subject... | [
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"with blender full of vegetables . A is ice shown",
"full A blender vegetables of is with shown ice .",
"A blender full . shown with ice of vegetables is"
] |
coco_41085_293966 | A picture of vegetables in a blender waiting to be blended. | datasets/COCO/train2014/COCO_train2014_000000373511.jpg | [
"vegetables",
"blender"
] | [
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_change"
}
] | [{"subject": "vegetables", "relation_type": "are in", "object": "blender", "negatives": [{"subject": "vegetables", "relation_type": "are outside", "object": "blender", "change_type": "antonym"}, {"subject": "vegetables", "relation_type": "are not in", "object": "blender", "change_type": "negation"}, {"subject": "blende... | [
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"blended picture in vegetables waiting of blender A be a . to",
"of A picture vegetables a in blender to waiting blended . be",
"be blended . A picture of blender waiting to vegetables in a"
] |
coco_41086_378094 | Pink lunch box with compartments for all types of food | datasets/COCO/train2014/COCO_train2014_000000460408.jpg | [
"pink lunch box",
"compartments for all types of food"
] | [
{
"positive": "pink lunch box",
"negative": "blue lunch box",
"change_type": "attribute_change"
},
{
"positive": "pink lunch box",
"negative": "pink backpack",
"change_type": "object_change"
},
{
"positive": "compartments for all types of food",
"negative": "compartments for ... | [{"subject": "pink lunch box", "relation_type": "has", "object": "compartments for all types of food", "negatives": [{"subject": "pink lunch box", "relation_type": "is without", "object": "compartments for all types of food", "change_type": "antonym"}, {"subject": "pink lunch box", "relation_type": "does not have", "ob... | [
"lunch box Pink with food for all types of compartments",
"Pink lunch box for compartments with all types of food",
"Pink box lunch for with compartments of all types food",
"with compartments for food all types of Pink lunch box"
] |
coco_41086_381190 | A pink tray has compartments with different foods in it. | datasets/COCO/train2014/COCO_train2014_000000460408.jpg | [
"pink tray",
"compartments",
"different foods"
] | [
{
"positive": "pink tray",
"negative": "blue tray",
"change_type": "attribute_change"
},
{
"positive": "pink tray",
"negative": "pink bowl",
"change_type": "object_change"
},
{
"positive": "compartments",
"negative": "sections",
"change_type": "attribute_change"
},
{
... | [{"subject": "pink tray", "relation_type": "has", "object": "compartments", "negatives": [{"subject": "pink tray", "relation_type": "is without", "object": "compartments", "change_type": "antonym"}, {"subject": "pink tray", "relation_type": "is not having", "object": "compartments", "change_type": "negation"}]}, {"subj... | [
"A compartments pink has different with tray foods in it .",
"in pink tray has compartments A different foods . with it",
"pink A tray has with compartments different foods in it .",
"it . has compartments with different foods in A pink tray"
] |
coco_41086_389650 | A lunch box packed with mac and cheese, vegetables and a treat. | datasets/COCO/train2014/COCO_train2014_000000460408.jpg | [
"lunch box",
"mac and cheese",
"vegetables",
"treat"
] | [
{
"positive": "lunch box",
"negative": "snack bag",
"change_type": "object_change"
},
{
"positive": "mac and cheese",
"negative": "chicken nuggets",
"change_type": "object_change"
},
{
"positive": "vegetables",
"negative": "fruits",
"change_type": "object_change"
},
{... | [{"subject": "lunch box", "relation_type": "is packed with", "object": "mac and cheese", "negatives": [{"subject": "lunch box", "relation_type": "is empty of", "object": "mac and cheese", "change_type": "antonym"}, {"subject": "lunch box", "relation_type": "is not packed with", "object": "mac and cheese", "change_type"... | [
"A vegetables cheese packed with lunch and mac , box and a treat .",
"A lunch box and packed mac , cheese and vegetables with a treat .",
"box lunch A with mac packed , cheese and a and vegetables . treat",
"packed with mac and cheese , A lunch box treat . vegetables and a"
] |
coco_41086_389806 | The lunchbox has a container with food and some liquid in a bottle. | datasets/COCO/train2014/COCO_train2014_000000460408.jpg | [
"lunchbox",
"container",
"food",
"liquid",
"bottle"
] | [
{
"positive": "lunchbox",
"negative": "thermos",
"change_type": "object_change"
},
{
"positive": "container",
"negative": "basket",
"change_type": "object_change"
},
{
"positive": "food",
"negative": "clothing",
"change_type": "object_change"
},
{
"positive": "liq... | [{"subject": "lunchbox", "relation_type": "has", "object": "container", "negatives": [{"subject": "lunchbox", "relation_type": "does not have", "object": "container", "change_type": "negation"}]}, {"subject": "container", "relation_type": "has", "object": "food", "negatives": [{"subject": "container", "relation_type": ... | [
"The container has a bottle with food and some lunchbox in a liquid .",
"with lunchbox and some container in food The . liquid a has bottle a",
"has lunchbox The a container with and food some in liquid a bottle .",
"The lunchbox has food and some a container with bottle . liquid in a"
] |
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