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s0000000
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"an old person kisses a young person",
"a young person kisses an old person"
] |
||
s0000001
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the taller person hugs the shorter person",
"the shorter person hugs the taller person"
] |
||
s0000002
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the masked wrestler hits the unmasked wrestler",
"the unmasked wrestler hits the masked wrestler"
] |
||
s0000003
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a person watches an animal",
"an animal watches a person"
] |
||
s0000004
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the person without earrings pays the person with earrings",
"the person with earrings pays the person without earrings"
] |
||
s0000005
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a bird eats a snake",
"a snake eats a bird"
] |
||
s0000006
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a plant was harmed by another organism, and that organism broke the plant into pieces",
"another organism was harmed by a plant, and that plant broke the organism into pieces"
] |
||
s0000007
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a bottle is in water",
"water is in a bottle"
] |
||
s0000008
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a tree smashed into a car",
"a car smashed into a tree"
] |
||
s0000009
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"people fall on the leaves",
"the leaves fall on people"
] |
||
s0000010
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the sail rests below the water",
"the water rests below the sail"
] |
||
s0000011
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there is a table below someone",
"there is someone below a table"
] |
||
s0000012
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the image shows a computer on top of books",
"the image shows books on top of a computer"
] |
||
s0000013
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a caterpillar with some plants",
"a plant with some caterpillars"
] |
||
s0000014
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there is a mug in some grass",
"there is some grass in a mug"
] |
||
s0000015
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there are more skiers than snowboarders",
"there are more snowboarders than skiers"
] |
||
s0000016
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there are fewer forks than spoons",
"there are fewer spoons than forks"
] |
||
s0000017
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there are more ladybugs than flowers",
"there are more flowers than ladybugs"
] |
||
s0000018
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there is less orange juice than milk",
"there is less milk than orange juice"
] |
||
s0000019
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there is more dirt than empty space in the jar",
"there is more empty space than dirt in the jar"
] |
||
s0000020
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"there is a bit less milk chocolate than white chocolate",
"there is a bit less white chocolate than milk chocolate"
] |
||
s0000021
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a person sits and a dog stands",
"a person stands and a dog sits"
] |
||
s0000022
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"The person with more facial hair lies awake while the other sleeps",
"The person with more facial hair sleeps while the other lies awake"
] |
||
s0000023
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the person in the middle is floating and some others are standing",
"the person in the middle is standing and some others are floating"
] |
||
s0000024
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the person closer to the camera weightlifts and the person farther from the camera runs",
"the person closer to the camera runs and the person farther from the camera weightlifts"
] |
||
s0000025
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the person with the white collared shirt waters the plant while the other holds it",
"the person with the white collared shirt holds the plant while the other waters it"
] |
||
s0000026
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the taller person chops food and the shorter person eats food",
"the taller person eats food and the shorter person chops food"
] |
||
s0000027
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the person with the ponytail packs stuff and other buys it",
"the person with the ponytail buys stuff and other packs it"
] |
||
s0000028
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a person walking in a field of yellow flowers with a red dress",
"a person walking in a field of red flowers with a yellow dress"
] |
||
s0000029
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a brown dog is on a white couch",
"a white dog is on a brown couch"
] |
||
s0000030
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a blue bird is next to a red berry",
"a red bird is next to a blue berry"
] |
||
s0000031
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"The red book is above the yellow book and below the blue book",
"The yellow book is above the blue book and below the red book"
] |
||
s0000032
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"astronauts in blue suits with a red planet in the background",
"astronauts in red suits with a blue planet in the background"
] |
||
s0000033
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the square table has a round base",
"the round table has a square base"
] |
||
s0000034
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"pointy bushes are behind rectangular bushes",
"rectangular bushes are behind pointy bushes"
] |
||
s0000035
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a circular sign is above a rectangular sign",
"a rectangular sign is above a circular sign"
] |
||
s0000036
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"a wood chess piece rests on metal objects",
"a metal chess piece rests on wood objects"
] |
||
s0000037
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"soft shoes are on a smooth floor",
"smooth shoes are on a soft floor"
] |
||
s0000038
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the happy person is on the right and the sad person is on the left",
"the sad person is on the right and the happy person is on the left"
] |
||
s0000039
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/0.tar
|
[
"the hurt person is on the left and the helpful person is on the right",
"the helpful person is on the left and the hurt person is on the right"
] |
||
s0000040
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the more content person has the healthier food and the less content person has the less healthy food",
"the less content person has the healthier food and the more content person has the less healthy food"
] |
||
s0000041
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the orange lollipop is sad and the red lollipop is surprised",
"the orange lollipop is surprised and the red lollipop is sad"
] |
||
s0000042
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the larger person wears yellow and the smaller person does not",
"the smaller person wears yellow and the larger person does not"
] |
||
s0000043
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"a big cat is next to a small dog",
"a small cat is next to a big dog"
] |
||
s0000044
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the heavy oncoming traffic is contrasted with the light outgoing traffic",
"the light oncoming traffic is contrasted with the heavy outgoing traffic"
] |
||
s0000045
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"a cold drink on a hot day",
"a hot drink on a cold day"
] |
||
s0000046
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"a person is drinking now and eating later",
"a person is drinking later and eating now"
] |
||
s0000047
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the sailboat sails close but the beach is far away",
"the sailboat sails far away but the beach is close"
] |
||
s0000048
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the passenger is riding inattentive to the road and the driver is driving attentive to the road",
"the passenger is riding attentive to the road and the driver is driving inattentive to the road"
] |
||
s0000049
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"it wears a hat but the person doesn't",
"the person wears a hat but it doesn't"
] |
||
s0000050
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the person with green legs is running quite slowly and the red legged one runs faster",
"the person with green legs is running faster and the red legged one runs quite slowly"
] |
||
s0000051
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"a person is in the water and close to the sand",
"a person is close to the water and in the sand"
] |
||
s0000052
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"a frog is above rocks which are under the water",
"a frog is under rocks which are above the water"
] |
||
s0000053
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"driving off the road and on the unpaved terrain",
"driving on the road and off the unpaved terrain"
] |
||
s0000054
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"someone is in a helicopter with a car",
"someone is with a helicopter in a car"
] |
||
s0000055
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the green one can fit inside the blue one and the blue one can fit outside the green one",
"the green one can fit outside the blue one and the blue one can fit inside the green one"
] |
||
s0000056
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"jumping away from the photographer and towards the others",
"jumping towards the photographer and away from the others"
] |
||
s0000057
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"someone bakes the dough before the dough is eaten",
"the dough is eaten before someone bakes the dough"
] |
||
s0000058
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"it hatched before it was eaten",
"it was eaten before it hatched"
] |
||
s0000059
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"there are three bananas and two apples",
"there are two bananas and three apples"
] |
||
s0000060
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"someone has loaded their plate with one of the toast slices and two of the eggs",
"someone has loaded their plate with two of the toast slices and one of the eggs"
] |
||
s0000061
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"there are three people and two windows",
"there are two people and three windows"
] |
||
s0000062
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"there are 50 stars on the right flag and 5 stars on the left flag",
"there are 5 stars on the right flag and 50 stars on the left flag"
] |
||
s0000063
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"no people wear blue shirts and six people wear white shirts",
"six people wear blue shirts and no people wear white shirts"
] |
||
s0000064
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the dog's leg is on the person's torso",
"the person's leg is on the dog's torso"
] |
||
s0000065
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the animal's eyes are bigger than the person's",
"the person's eyes are bigger than the animal's"
] |
||
s0000066
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the taller person's arm is around the shorter person's shoulder",
"the shorter person's arm is around the taller person's shoulder"
] |
||
s0000067
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the person in a brown coat looks back and the person in a black coat looks forward",
"the person in a black coat looks back and the person in a brown coat looks forward"
] |
||
s0000068
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"it ran away while they pursued",
"they ran away while it pursued"
] |
||
s0000069
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"almost everyone is in a boat and one is swimming",
"one is in a boat and almost everyone is swimming"
] |
||
s0000070
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the person with the lighter shoes is holding an emoji and the person with the darker shoes isn't",
"the person with the darker shoes is holding an emoji and the person with the lighter shoes isn't"
] |
||
s0000071
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the person wearing neutral colors poses and the person wearing brighter colors takes a picture",
"the person wearing brighter colors poses and the person wearing neutral colors takes a picture"
] |
||
s0000072
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"it's a fire truck",
"it's a truck fire"
] |
||
s0000073
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"watching the present",
"presenting the watch"
] |
||
s0000074
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"walking out on a rock",
"rocking out on a walk"
] |
||
s0000075
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the kid with the magnifying glass looks at them",
"the kid looks at them with the magnifying glass"
] |
||
s0000076
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the person with the kids is sitting",
"the person is sitting with the kids"
] |
||
s0000077
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the people with shoes are touching each other",
"the people are touching each other with shoes"
] |
||
s0000078
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"someone with an apple is hurt by a tree",
"someone is hurt by a tree with an apple"
] |
||
s0000079
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/1.tar
|
[
"the person that is on the table is eating the food",
"the person is eating the food that is on the table"
] |
||
s0000080
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"the watering can is larger than the pot",
"the pot is larger than the watering can"
] |
||
s0000081
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"they hold a suitcase handle with their left hand and they hold a passport with their right hand",
"they hold a passport with their left hand and they hold a suitcase handle with their right hand"
] |
||
s0000082
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"the person with the patterned shirt is curly-haired and the other is straight-haired",
"the person with the patterned shirt is straight-haired and the other is curly-haired"
] |
||
s0000083
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"a diagram showing movement from right to left",
"a diagram showing movement from left to right"
] |
||
s0000084
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"the flip flops are too big for these feet",
"the feet are too big for these flip flops"
] |
||
s0000085
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"the person who is wearing a crown is kissing a frog",
"the person is kissing a frog who is wearing a crown"
] |
||
s0000086
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"a dog sitting on a couch with a person lying on the floor",
"a person lying on a couch with a dog sitting on the floor"
] |
||
s0000087
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"The uncaged bird has an opened cage door",
"The caged bird has an unopened cage door"
] |
||
s0000088
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"meat with potatoes",
"potatoes with meat"
] |
||
s0000089
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"the person in pink was close to not winning",
"the person in pink was not close to winning"
] |
||
s0000090
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"two humans and one wheel",
"two wheels and one human"
] |
||
s0000091
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"clothing on lines",
"lines on clothing"
] |
||
s0000092
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"someone talks on the phone angrily while another person sits happily",
"someone talks on the phone happily while another person sits angrily"
] |
||
s0000093
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"two boats and one direction down the stream",
"one boat and two directions down the stream"
] |
||
s0000094
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"The dog rides without a visible tongue",
"The dog rides with a visible tongue out"
] |
||
s0000095
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"handing a hammer",
"hammering a hand"
] |
||
s0000096
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"leaves its shedding",
"shedding its leaves"
] |
||
s0000097
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"they are using no bait but still got fish",
"they are using bait but still got no fish"
] |
||
s0000098
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"someone on the ground is spraying water towards a vehicle",
"someone is on a vehicle spraying water towards the ground"
] |
||
s0000099
|
hf://datasets/haideraltahan/wds_winoground@519f87a699a40487d76e499cce318491ae3212ed/test/2.tar
|
[
"the dog wears as a hat what someone would normally bite",
"the dog bites what someone would normally wear as a hat"
] |
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