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id (string)sentence_A (string)sentence_B (string)label (class label)relatedness_score (float)entailment_AB (string)entailment_BA (string)sentence_A_original (string)sentence_B_original (string)sentence_A_dataset (string)sentence_B_dataset (string)
1
A group of kids is playing in a yard and an old man is standing in the background
A group of boys in a yard is playing and a man is standing in the background
1 (neutral)
4.5
A_neutral_B
B_neutral_A
A group of children playing in a yard, a man in the background.
A group of children playing in a yard, a man in the background.
FLICKR
FLICKR
2
A group of children is playing in the house and there is no man standing in the background
A group of kids is playing in a yard and an old man is standing in the background
1 (neutral)
3.2
A_contradicts_B
B_neutral_A
A group of children playing in a yard, a man in the background.
A group of children playing in a yard, a man in the background.
FLICKR
FLICKR
3
The young boys are playing outdoors and the man is smiling nearby
The kids are playing outdoors near a man with a smile
0 (entailment)
4.7
A_entails_B
B_entails_A
The children are playing outdoors, while a man smiles nearby.
The children are playing outdoors, while a man smiles nearby.
FLICKR
FLICKR
5
The kids are playing outdoors near a man with a smile
A group of kids is playing in a yard and an old man is standing in the background
1 (neutral)
3.4
A_neutral_B
B_neutral_A
A group of children playing in a yard, a man in the background.
The children are playing outdoors, while a man smiles nearby.
FLICKR
FLICKR
9
The young boys are playing outdoors and the man is smiling nearby
A group of kids is playing in a yard and an old man is standing in the background
1 (neutral)
3.7
A_neutral_B
B_neutral_A
A group of children playing in a yard, a man in the background.
The children are playing outdoors, while a man smiles nearby.
FLICKR
FLICKR
12
Two dogs are fighting
Two dogs are wrestling and hugging
1 (neutral)
4
A_neutral_B
B_neutral_A
Two dogs wrestle or hug.
Two dogs wrestle or hug.
FLICKR
FLICKR
14
A brown dog is attacking another animal in front of the man in pants
Two dogs are fighting
1 (neutral)
3.5
A_neutral_B
B_neutral_A
A brown dog is jumping up at another dog in front of the man in jeans.
Two dogs wrestle or hug.
FLICKR
FLICKR
18
A brown dog is attacking another animal in front of the man in pants
Two dogs are wrestling and hugging
1 (neutral)
3.2
A_neutral_B
B_neutral_A
A brown dog is jumping up at another dog in front of the man in jeans.
Two dogs wrestle or hug.
FLICKR
FLICKR
25
Nobody is riding the bicycle on one wheel
A person in a black jacket is doing tricks on a motorbike
1 (neutral)
2.8
A_contradicts_B
B_neutral_A
A person rides their bicycle onto a rock and balances on one wheel.
A person in a black jacket doing tricks on a motorbike.
FLICKR
FLICKR
26
A person is riding the bicycle on one wheel
A man in a black jacket is doing tricks on a motorbike
1 (neutral)
3.7
A_neutral_B
B_neutral_A
A person in a black jacket doing tricks on a motorbike.
A person rides their bicycle onto a rock and balances on one wheel.
FLICKR
FLICKR
28
A person on a black motorbike is doing tricks with a jacket
A person is riding the bicycle on one wheel
1 (neutral)
3.4
A_neutral_B
B_neutral_A
A person rides their bicycle onto a rock and balances on one wheel.
A person in a black jacket doing tricks on a motorbike.
FLICKR
FLICKR
30
A man with a jersey is dunking the ball at a basketball game
The ball is being dunked by a man with a jersey at a basketball game
0 (entailment)
4.9
A_entails_B
B_entails_A
A man with jersey 23 is dunking the ball at a basket ball game.
A man with jersey 23 is dunking the ball at a basket ball game.
FLICKR
FLICKR
35
A man with a jersey is dunking the ball at a basketball game
A man who is playing dunks the basketball into the net and a crowd is in background
1 (neutral)
3.6
A_neutral_B
B_neutral_A
A man with jersey 23 is dunking the ball at a basket ball game.
Player number 23 dunks the basketball into the net with a crowd in the background.
FLICKR
FLICKR
40
The player is dunking the basketball into the net and a crowd is in background
A man with a jersey is dunking the ball at a basketball game
1 (neutral)
3.8
A_neutral_B
B_neutral_A
A man with jersey 23 is dunking the ball at a basket ball game.
Player number 23 dunks the basketball into the net with a crowd in the background.
FLICKR
FLICKR
42
Two people are kickboxing and spectators are not watching
Two people are kickboxing and spectators are watching
2 (contradiction)
3.4
A_contradicts_B
B_contradicts_A
Two people kick boxing, with others spectating.
Two people kick boxing, with others spectating.
FLICKR
FLICKR
44
Two young women are sparring in a kickboxing fight
Two women are sparring in a kickboxing match
0 (entailment)
4.9
A_entails_B
B_entails_A
Two woman spar in a kickboxing match.
Two woman spar in a kickboxing match.
FLICKR
FLICKR
45
Two young women are not sparring in a kickboxing fight
Two women are sparring in a kickboxing match
1 (neutral)
3.9
A_contradicts_B
B_neutral_A
Two woman spar in a kickboxing match.
Two woman spar in a kickboxing match.
FLICKR
FLICKR
47
Two people are kickboxing and spectators are watching
Two young women are not sparring in a kickboxing fight
1 (neutral)
3.415
A_neutral_B
B_neutral_A
Two people kick boxing, with others spectating.
Two woman spar in a kickboxing match.
FLICKR
FLICKR
49
Two women are sparring in a kickboxing match
Two people are kickboxing and spectators are not watching
1 (neutral)
3.7
A_neutral_B
B_neutral_A
Two woman spar in a kickboxing match.
Two people kick boxing, with others spectating.
FLICKR
FLICKR
55
Three boys are jumping in the leaves
Three kids are jumping in the leaves
0 (entailment)
4.4
A_entails_B
B_neutral_A
Three kids jumping in leaves.
Three kids jumping in leaves.
FLICKR
FLICKR
56
Three kids are sitting in the leaves
Three kids are jumping in the leaves
1 (neutral)
3.8
A_contradicts_B
B_neutral_A
Three kids jumping in leaves.
Three kids jumping in leaves.
FLICKR
FLICKR
58
Children in red shirts are playing in the leaves
Three kids are sitting in the leaves
1 (neutral)
3.5
A_neutral_B
B_neutral_A
Children in red shirts play in the leaves.
Three kids jumping in leaves.
FLICKR
FLICKR
62
Children in red shirts are playing in the leaves
Three kids are jumping in the leaves
1 (neutral)
4
A_neutral_B
B_neutral_A
Children in red shirts play in the leaves.
Three kids jumping in leaves.
FLICKR
FLICKR
65
Two angels are making snow on the lying children
Two children are lying in the snow and are making snow angels
1 (neutral)
2.9
A_neutral_B
B_neutral_A
Two children lying in the snow making snow angels
Two children lying in the snow making snow angels
FLICKR
FLICKR
70
Two children are lying in the snow and are drawing angels
Two people in snowsuits are lying in the snow and making snow angels
1 (neutral)
4.1
A_neutral_B
B_neutral_A
Two people in snowsuits laying in the snow making snow angels
Two children lying in the snow making snow angels
FLICKR
FLICKR
72
Two people in snowsuits are lying in the snow and making snow angels
Two angels are making snow on the lying children
1 (neutral)
2.5
A_neutral_B
B_neutral_A
Two people in snowsuits laying in the snow making snow angels
Two children lying in the snow making snow angels
FLICKR
FLICKR
73
Two children are lying in the snow and are making snow angels
Two people in snowsuits are lying in the snow and making snow angels
1 (neutral)
4.2
A_neutral_B
B_neutral_A
Two children lying in the snow making snow angels
Two people in snowsuits laying in the snow making snow angels
FLICKR
FLICKR
77
People wearing costumes are gathering in a forest and are looking in the same direction
Masked people are looking in the same direction in a forest
0 (entailment)
4.4
A_entails_B
B_neutral_A
People with costumes are gathered in a wooded area looking the same direction.
People with costumes are gathered in a wooded area looking the same direction.
FLICKR
FLICKR
78
People wearing costumes are gathering in a forest and are looking in the same direction
People wearing costumes are scattering in a forest and are looking in different directions
1 (neutral)
3.2
A_neutral_B
B_contradicts_A
People with costumes are gathered in a wooded area looking the same direction.
People with costumes are gathered in a wooded area looking the same direction.
FLICKR
FLICKR
79
People are looking at some costumes gathered in the vicinity of the forest
People wearing costumes are gathering in a forest and are looking in the same direction
1 (neutral)
3.635
A_neutral_B
B_neutral_A
People with costumes are gathered in a wooded area looking the same direction.
People with costumes are gathered in a wooded area looking the same direction.
FLICKR
FLICKR
81
A little girl is looking at a woman in costume
People wearing costumes are scattering in a forest and are looking in different directions
1 (neutral)
2.4
A_neutral_B
B_neutral_A
The back of a woman in costume ; little girl looks at her
People with costumes are gathered in a wooded area looking the same direction.
FLICKR
FLICKR
82
A little girl is looking at a woman in costume
People are looking at some costumes gathered in the vicinity of the forest
1 (neutral)
2.6
A_neutral_B
B_neutral_A
The back of a woman in costume ; little girl looks at her
People with costumes are gathered in a wooded area looking the same direction.
FLICKR
FLICKR
83
A young girl is looking at a woman in costume
People wearing costumes are gathering in a forest and are looking in the same direction
1 (neutral)
2.2
A_neutral_B
B_neutral_A
People with costumes are gathered in a wooded area looking the same direction.
The back of a woman in costume ; little girl looks at her
FLICKR
FLICKR
84
People wearing costumes are gathering in a forest and are looking in the same direction
The little girl is looking at a man in costume
1 (neutral)
3
A_neutral_B
B_neutral_A
People with costumes are gathered in a wooded area looking the same direction.
The back of a woman in costume ; little girl looks at her
FLICKR
FLICKR
85
People wearing costumes are gathering in a forest and are looking in the same direction
A little girl in costume looks like a woman
1 (neutral)
2
A_neutral_B
B_neutral_A
People with costumes are gathered in a wooded area looking the same direction.
The back of a woman in costume ; little girl looks at her
FLICKR
FLICKR
87
A lone biker is jumping in the air
A biker is jumping in the air, alone
0 (entailment)
5
A_entails_B
B_entails_A
a lone bicyclists jumping in the air over a ramp.
a lone bicyclists jumping in the air over a ramp.
FLICKR
FLICKR
88
There is no biker jumping in the air
A lone biker is jumping in the air
2 (contradiction)
4.2
A_contradicts_B
B_contradicts_A
a lone bicyclists jumping in the air over a ramp.
a lone bicyclists jumping in the air over a ramp.
FLICKR
FLICKR
90
A man is jumping into an empty pool
A man is jumping into a full pool
2 (contradiction)
3
A_contradicts_B
B_contradicts_A
A man does bike jumps in the dark in an empty pool.
A man does bike jumps in the dark in an empty pool.
FLICKR
FLICKR
91
A man is jumping into an empty pool
The man's jumper is in the empty pool
1 (neutral)
3.1
A_neutral_B
B_neutral_A
A man does bike jumps in the dark in an empty pool.
A man does bike jumps in the dark in an empty pool.
FLICKR
FLICKR
93
A lone biker is jumping in the air
A man is jumping into a full pool
1 (neutral)
1.7
A_neutral_B
B_neutral_A
A man does bike jumps in the dark in an empty pool.
a lone bicyclists jumping in the air over a ramp.
FLICKR
FLICKR
94
The man's jumper is in the empty pool
A lone biker is jumping in the air
1 (neutral)
1.4
A_neutral_B
B_neutral_A
a lone bicyclists jumping in the air over a ramp.
A man does bike jumps in the dark in an empty pool.
FLICKR
FLICKR
97
A lone biker is jumping in the air
A man is jumping into an empty pool
1 (neutral)
1.5
A_neutral_B
B_neutral_A
a lone bicyclists jumping in the air over a ramp.
A man does bike jumps in the dark in an empty pool.
FLICKR
FLICKR
98
Four kids are doing backbends in the park
Four children are doing backbends in the park
0 (entailment)
4.8
A_entails_B
B_entails_A
Four children do backbends in the park.
Four children do backbends in the park.
FLICKR
FLICKR
99
Four children are doing backbends in the gym
Four children are doing backbends in the park
1 (neutral)
3.8
A_neutral_B
B_neutral_A
Four children do backbends in the park.
Four children do backbends in the park.
FLICKR
FLICKR
100
Four girls are doing backbends and playing in the garden
Four girls are doing backbends and playing outdoors
0 (entailment)
4.1
A_entails_B
B_neutral_A
Four girls do backbends while playing outdoors.
Four girls do backbends while playing outdoors.
FLICKR
FLICKR
107
A man who is playing is running with the ball in his hands
A player is running with the ball
0 (entailment)
4.3
A_entails_B
B_neutral_A
A running back running with the football.
A running back running with the football.
FLICKR
FLICKR
112
Two groups of people are playing football
A player is running with the ball
1 (neutral)
2.1
A_neutral_B
B_neutral_A
A running back running with the football.
Two teams compete in football.
FLICKR
FLICKR
113
Two teams are competing in a baseball game
A player is running with the ball
1 (neutral)
3
A_neutral_B
B_neutral_A
A running back running with the football.
Two teams compete in football.
FLICKR
FLICKR
117
A player is running with the ball
Two teams are competing in a football match
1 (neutral)
2.6
A_neutral_B
B_neutral_A
A running back running with the football.
Two teams compete in football.
FLICKR
FLICKR
120
Five wooden stands are in front of each child's hut
Five children are standing in front of a wooden hut
1 (neutral)
3.2
A_neutral_B
B_neutral_A
Five children are standing in front of a wooden hut.
Five children are standing in front of a wooden hut.
FLICKR
FLICKR
122
Five kids are standing close together and one kid has a gun
Five kids are standing close together and none of the kids has a gun
2 (contradiction)
3.7
A_contradicts_B
B_contradicts_A
There are five kids standing next to each other, and the one in the red has a gun.
There are five kids standing next to each other, and the one in the red has a gun.
FLICKR
FLICKR
124
Five kids are standing close together and none of the kids has a gun
Five children are standing in front of a wooden hut
1 (neutral)
2.6
A_neutral_B
B_neutral_A
Five children are standing in front of a wooden hut.
There are five kids standing next to each other, and the one in the red has a gun.
FLICKR
FLICKR
126
Five children are standing in a wooden hut
Five kids are standing close together and one kid has a gun
1 (neutral)
2.7
A_neutral_B
B_neutral_A
There are five kids standing next to each other, and the one in the red has a gun.
Five children are standing in front of a wooden hut.
FLICKR
FLICKR
127
Five wooden stands are in front of each child's hut
Five kids are standing close together and one kid has a gun
1 (neutral)
2.3
A_neutral_B
B_neutral_A
There are five kids standing next to each other, and the one in the red has a gun.
Five children are standing in front of a wooden hut.
FLICKR
FLICKR
129
An old man is sitting in a field
A man is sitting in a field
0 (entailment)
4.4
A_entails_B
B_neutral_A
A man sitting cross-legged in a field
A man sitting cross-legged in a field
FLICKR
FLICKR
130
A man is sitting in a field
A man is running in a field
1 (neutral)
2.6
A_neutral_B
B_neutral_A
A man sitting cross-legged in a field
A man sitting cross-legged in a field
FLICKR
FLICKR
131
A person is wearing a hat and is sitting on the grass
A person is sitting in a field and is wearing a hat
1 (neutral)
4.1
A_neutral_B
B_neutral_A
A person wearing a hat sits on the grass with a mountain behind him.
A person wearing a hat sits on the grass with a mountain behind him.
FLICKR
FLICKR
133
A person is sitting and wearing a grass hat
A person is wearing a hat and is sitting on the grass
1 (neutral)
3.4
A_neutral_B
B_neutral_A
A person wearing a hat sits on the grass with a mountain behind him.
A person wearing a hat sits on the grass with a mountain behind him.
FLICKR
FLICKR
136
A person is sitting and wearing a grass hat
A man is sitting in a field
1 (neutral)
3.3
A_neutral_B
B_neutral_A
A man sitting cross-legged in a field
A person wearing a hat sits on the grass with a mountain behind him.
FLICKR
FLICKR
139
A man is sitting in a field
A person is wearing a hat and is sitting on the grass
1 (neutral)
3.8
A_neutral_B
B_neutral_A
A man sitting cross-legged in a field
A person wearing a hat sits on the grass with a mountain behind him.
FLICKR
FLICKR
140
The current is being ridden by a group of friends in a raft
A group of friends are riding the current in a raft
0 (entailment)
4.9
A_entails_B
B_entails_A
A group of friends ride the current in a raft.
A group of friends ride the current in a raft.
FLICKR
FLICKR
141
A group of friends are riding the current in a raft
A group is not riding the current in a raft
2 (contradiction)
3.7
A_contradicts_B
B_contradicts_A
A group of friends ride the current in a raft.
A group of friends ride the current in a raft.
FLICKR
FLICKR
146
The current is being ridden by a group of friends in a raft
This group of people is practicing water safety and wearing preservers
1 (neutral)
3.2
A_neutral_B
B_neutral_A
this group of people are practicing water safety by wearing preservers while in a raft on the river
A group of friends ride the current in a raft.
FLICKR
FLICKR
148
A group of friends are riding the current in a raft
This group of people is practicing water safety and wearing preservers
1 (neutral)
3.1
A_neutral_B
B_neutral_A
A group of friends ride the current in a raft.
this group of people are practicing water safety by wearing preservers while in a raft on the river
FLICKR
FLICKR
150
A deer is jumping over a fence
A deer isn't jumping over the fence
2 (contradiction)
3.9
A_contradicts_B
B_contradicts_A
A deer is jumping over a fence.
A deer is jumping over a fence.
FLICKR
FLICKR
159
People are walking inside a building that has many murals on it
People are walking outside a building that has many murals on it
1 (neutral)
3.4
A_neutral_B
B_neutral_A
People walk outside of a building that has many murals painted on it.
People walk outside of a building that has many murals painted on it.
FLICKR
FLICKR
161
Several people are in front of a colorful building
Nobody is in front of the colorful building
2 (contradiction)
3.5
A_contradicts_B
B_contradicts_A
Several people are in a front of a colorful painted building.
Several people are in a front of a colorful painted building.
FLICKR
FLICKR
163
People are walking outside a building that has many murals on it
Nobody is in front of the colorful building
1 (neutral)
3.6
A_contradicts_B
B_neutral_A
People walk outside of a building that has many murals painted on it.
Several people are in a front of a colorful painted building.
FLICKR
FLICKR
164
People are walking outside the building that has several murals on it
Several people are in front of a colorful building
0 (entailment)
3.6
A_entails_B
B_neutral_A
Several people are in a front of a colorful painted building.
People walk outside of a building that has many murals painted on it.
FLICKR
FLICKR
170
A family is watching a little boy who is hitting a baseball
A family is watching a little boy who is missing a baseball
1 (neutral)
3.9
A_contradicts_B
B_neutral_A
A little boy hits a baseball while his family watches
A little boy hits a baseball while his family watches
FLICKR
FLICKR
173
A child is hitting a baseball
A family is watching a little boy who is missing a baseball
1 (neutral)
3.015
A_neutral_B
B_neutral_A
A child hits a baseball.
A little boy hits a baseball while his family watches
FLICKR
FLICKR
176
A child is missing a baseball
A family is watching a little boy who is hitting a baseball
1 (neutral)
2.7
A_neutral_B
B_neutral_A
A little boy hits a baseball while his family watches
A child hits a baseball.
FLICKR
FLICKR
183
A purple crowd of people is eating on various red lit restaurant tables
Various people are eating at red tables in a crowded restaurant with purple lights
1 (neutral)
3.3
A_neutral_B
B_neutral_A
Various people are eating at red tables in a crowded restaurant with purple lights.
Various people are eating at red tables in a crowded restaurant with purple lights.
FLICKR
FLICKR
184
A large group of Asian people is eating at a restaurant
Various customers are eating in a crowded restaurant with purple lights
1 (neutral)
2.9
A_neutral_B
B_neutral_A
A large group of asian people are eating at a restaurant.
Various people are eating at red tables in a crowded restaurant with purple lights.
FLICKR
FLICKR
186
A purple crowd of people is eating on various red lit restaurant tables
A large group of Asian people is eating at a restaurant
1 (neutral)
3.1
A_neutral_B
B_neutral_A
Various people are eating at red tables in a crowded restaurant with purple lights.
A large group of asian people are eating at a restaurant.
FLICKR
FLICKR
188
Various people are eating at red tables in a crowded restaurant with purple lights
A small group of people is waiting to eat in a restaurant
1 (neutral)
3.2
A_neutral_B
B_neutral_A
Various people are eating at red tables in a crowded restaurant with purple lights.
A large group of asian people are eating at a restaurant.
FLICKR
FLICKR
192
A motorcycle rider is standing up on the seat of a white motorcycle
No motorcycle rider is standing up on the seat of a motorcycle
2 (contradiction)
3.8
A_contradicts_B
B_contradicts_A
A motorcycle rider starts to sand up on the seat of his white motorcycle.
A motorcycle rider starts to sand up on the seat of his white motorcycle.
FLICKR
FLICKR
194
Nobody is on a motorcycle and is standing on the seat
Someone is on a black and white motorcycle and is standing on the seat
2 (contradiction)
3.7
A_contradicts_B
B_contradicts_A
Someone is on a black and white motorcycle and putting their feet on the seat.
Someone is on a black and white motorcycle and putting their feet on the seat.
FLICKR
FLICKR
200
A motorcyclist is riding a motorbike dangerously along a roadway
A motorcyclist is riding a motorbike along a roadway
0 (entailment)
4.6
A_entails_B
B_neutral_A
A motorcyclist is riding their sponsored car along a roadway that has recently turned.
A motorcyclist is riding their sponsored car along a roadway that has recently turned.
FLICKR
FLICKR
201
There is no motorcyclist riding a motorbike along a roadway
A motorcyclist is riding a motorbike along a roadway
2 (contradiction)
3.7
A_contradicts_B
B_contradicts_A
A motorcyclist is riding their sponsored car along a roadway that has recently turned.
A motorcyclist is riding their sponsored car along a roadway that has recently turned.
FLICKR
FLICKR
202
A man with a helmet painted red is riding a blue motorcycle down the road
A motorcyclist with a red helmet is riding a blue motorcycle down the road
0 (entailment)
4.8
A_entails_B
B_entails_A
A motorcyclist with a red helmet rides his blue motorcycle down the road.
A motorcyclist with a red helmet rides his blue motorcycle down the road.
FLICKR
FLICKR
205
A motorcyclist without a helmet is waiting on a blue motorcycle near the road
A motorcyclist is riding a motorbike along a roadway
1 (neutral)
3.3
A_neutral_B
B_neutral_A
A motorcyclist is riding their sponsored car along a roadway that has recently turned.
A motorcyclist with a red helmet rides his blue motorcycle down the road.
FLICKR
FLICKR
215
Two dogs are playing by a tree
A dog is catching a stick in the air and another is watching
1 (neutral)
3.7
A_neutral_B
B_neutral_A
Two dogs play by a tree.
A dog leaps high in the air while another watches.
FLICKR
FLICKR
216
Two dogs are playing by a tree
There is no dog leaping in the air
1 (neutral)
2.7
A_neutral_B
B_neutral_A
Two dogs play by a tree.
A dog leaps high in the air while another watches.
FLICKR
FLICKR
217
Two dogs are playing by a tree
A dog is leaping high in the air and another is watching
1 (neutral)
3
A_neutral_B
B_neutral_A
A dog leaps high in the air while another watches.
Two dogs play by a tree.
FLICKR
FLICKR
223
A girl in white is dancing
The dancer is dancing in front of the sound equipment
1 (neutral)
4
A_neutral_B
B_neutral_A
A girl in white dances.
The blonde girl is dancing on stage in front of the sound equipment.
FLICKR
FLICKR
224
A girl in white is dancing
The blond girl is dancing behind the sound equipment
1 (neutral)
3.3
A_neutral_B
B_neutral_A
A girl in white dances.
The blonde girl is dancing on stage in front of the sound equipment.
FLICKR
FLICKR
226
A girl is wearing white clothes and is dancing
The blond girl is dancing in front of the sound equipment
1 (neutral)
3.5
A_neutral_B
B_neutral_A
A girl in white dances.
The blonde girl is dancing on stage in front of the sound equipment.
FLICKR
FLICKR
227
The blond girl is dancing in front of the sound equipment
There is no girl in white dancing
1 (neutral)
3.3
A_neutral_B
B_neutral_A
The blonde girl is dancing on stage in front of the sound equipment.
A girl in white dances.
FLICKR
FLICKR
232
Three Asian kids are dancing and a man is looking
Three Asian kids are dancing and there is no man looking
2 (contradiction)
3.9
A_contradicts_B
B_contradicts_A
Three Asian kids dance while a man looks on.
Three Asian kids dance while a man looks on.
FLICKR
FLICKR
233
Three Asian kids are dancing and a man is looking
An Asian man is dancing and three kids are looking
1 (neutral)
3.7
A_neutral_B
B_neutral_A
Three Asian kids dance while a man looks on.
Three Asian kids dance while a man looks on.
FLICKR
FLICKR
234
The children of a family are playing and waiting
Three Asian kids are dancing and a serious man is looking
1 (neutral)
1.9
A_neutral_B
B_neutral_A
The children of a family play while they wait.
Three Asian kids dance while a man looks on.
FLICKR
FLICKR
237
The children of a family are patiently playing and waiting
Three Asian kids are dancing and a man is looking
1 (neutral)
2.3
A_neutral_B
B_neutral_A
Three Asian kids dance while a man looks on.
The children of a family play while they wait.
FLICKR
FLICKR
238
There are no children playing and waiting
Three Asian kids are dancing and a man is looking
1 (neutral)
1.6
A_neutral_B
B_neutral_A
Three Asian kids dance while a man looks on.
The children of a family play while they wait.
FLICKR
FLICKR
240
A woman is wearing an Egyptian hat on her head
A woman is wearing an Egyptian headdress
0 (entailment)
4.3
A_entails_B
B_entails_A
A woman wears an Egytian-like headdress.
A woman wears an Egytian-like headdress.
FLICKR
FLICKR
241
A woman is wearing an Egyptian headdress
A woman is wearing an Indian headdress
1 (neutral)
4
A_neutral_B
B_neutral_A
A woman wears an Egytian-like headdress.
A woman wears an Egytian-like headdress.
FLICKR
FLICKR
248
The black woman is wearing glasses over the headdress
A woman is wearing an Egyptian headdress
1 (neutral)
3.6
A_neutral_B
B_neutral_A
The woman in glasses is wearing a black head dress.
A woman wears an Egytian-like headdress.
FLICKR
FLICKR
249
A woman is wearing an Egyptian hat on her head
The woman is wearing glasses and a black headdress
1 (neutral)
2.5
A_neutral_B
B_neutral_A
The woman in glasses is wearing a black head dress.
A woman wears an Egytian-like headdress.
FLICKR
FLICKR
254
A hiker is on top of the mountain and is dancing
There is no hiker dancing on top of the mountain
2 (contradiction)
3.2
A_contradicts_B
B_contradicts_A
This hiker does a dance of joy on top of the mountain.
This hiker does a dance of joy on top of the mountain.
FLICKR
FLICKR
256
There is no man on a rock high above some trees standing in a strange position
A man is on a rock high above some trees and is standing in a strange position
2 (contradiction)
4.3
A_contradicts_B
B_contradicts_A
A man stands in a strange position on a rock high above some trees.
A man stands in a strange position on a rock high above some trees.
FLICKR
FLICKR
End of preview (truncated to 100 rows)

Dataset Card for sick

Dataset Summary

Shared and internationally recognized benchmarks are fundamental for the development of any computational system. We aim to help the research community working on compositional distributional semantic models (CDSMs) by providing SICK (Sentences Involving Compositional Knowldedge), a large size English benchmark tailored for them. SICK consists of about 10,000 English sentence pairs that include many examples of the lexical, syntactic and semantic phenomena that CDSMs are expected to account for, but do not require dealing with other aspects of existing sentential data sets (idiomatic multiword expressions, named entities, telegraphic language) that are not within the scope of CDSMs. By means of crowdsourcing techniques, each pair was annotated for two crucial semantic tasks: relatedness in meaning (with a 5-point rating scale as gold score) and entailment relation between the two elements (with three possible gold labels: entailment, contradiction, and neutral). The SICK data set was used in SemEval-2014 Task 1, and it freely available for research purposes.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

The dataset is in English.

Dataset Structure

Data Instances

Example instance:

{
    "entailment_AB": "A_neutral_B",
    "entailment_BA": "B_neutral_A",
    "label": 1,
    "id": "1",
    "relatedness_score": 4.5,
    "sentence_A": "A group of kids is playing in a yard and an old man is standing in the background",
    "sentence_A_dataset": "FLICKR",
    "sentence_A_original": "A group of children playing in a yard, a man in the background.",
    "sentence_B": "A group of boys in a yard is playing and a man is standing in the background",
    "sentence_B_dataset": "FLICKR",
    "sentence_B_original": "A group of children playing in a yard, a man in the background."
}

Data Fields

  • pair_ID: sentence pair ID
  • sentence_A: sentence A
  • sentence_B: sentence B
  • label: textual entailment gold label: entailment (0), neutral (1) or contradiction (2)
  • relatedness_score: semantic relatedness gold score (on a 1-5 continuous scale)
  • entailment_AB: entailment for the A-B order (A_neutral_B, A_entails_B, or A_contradicts_B)
  • entailment_BA: entailment for the B-A order (B_neutral_A, B_entails_A, or B_contradicts_A)
  • sentence_A_original: original sentence from which sentence A is derived
  • sentence_B_original: original sentence from which sentence B is derived
  • sentence_A_dataset: dataset from which the original sentence A was extracted (FLICKR vs. SEMEVAL)
  • sentence_B_dataset: dataset from which the original sentence B was extracted (FLICKR vs. SEMEVAL)

Data Splits

Train Trial Test 4439 495 4906

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

[Needs More Information]

Citation Information

@inproceedings{marelli-etal-2014-sick,
    title = "A {SICK} cure for the evaluation of compositional distributional semantic models",
    author = "Marelli, Marco  and
      Menini, Stefano  and
      Baroni, Marco  and
      Bentivogli, Luisa  and
      Bernardi, Raffaella  and
      Zamparelli, Roberto",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/363_Paper.pdf",
    pages = "216--223",
}

Contributions

Thanks to @calpt for adding this dataset.

Update on GitHub
Papers with Code

Models trained or fine-tuned on sick