premise
stringlengths
9
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hypothesis
stringlengths
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3 values
A man is riding a red motorcycle with a small child sitting in front of him.
A man rides his motorcyle with his won.
neutral
A man is riding a motorcycle with a small child sitting in front of him.
A man rides his motorcyle with his won.
entailment
A man is riding a red motorcycle with a small child sitting in front of him.
A man rides his car with his son.
contradiction
A man is riding a blue truck with a small child sitting in front of him.
A man rides his motorcyle with his won.
contradiction
A man is riding a red motorcycle with a small child sitting in front of him.
A man rides his motorcycle with a child.
entailment
In a martial arts demonstration a man with two swords faces a woman with a Chinese spear.
The woman is watching.
neutral
In a martial arts demonstration a man with two swords faces a woman with a Chinese spear.
The woman is with a Chinese spear.
entailment
In a martial arts demonstration a man with two swords faces a woman with a Chinese spear while the men watch.
The woman is watching.
contradiction
In a martial arts demonstration a man with two swords faces a woman with a Chinese spear while another woman watches.
The woman is watching.
entailment
In a martial arts demonstration a man with two swords faces a woman with a Chinese spear.
The woman is watching the man with a Japanese spear.
contradiction
A woman wearing a green shirt stands on the railroad tracks.
The woman is wearing a green shirt.
entailment
A woman wearing a green shirt stands on the railroad tracks.
A railroad employee stands on the train tracks.
neutral
A railroad employee wearing a green shirt stands on the railroad tracks.
A railroad employee stands on the train tracks.
entailment
A woman wearing a green shirt stands on the railroad tracks and waves on the railroad employee in the booth.
A railroad employee stands on the train tracks.
contradiction
A woman wearing a green shirt stands on the railroad tracks.
The woman is not standing on the railroad tracks.
contradiction
A blond woman speaking to a brunette woman with her arms crossed.
A woman is talking to another woman.
entailment
A blond man speaking to a brunette woman with her arms crossed.
A woman is talking to another woman.
contradiction
A blond woman speaking to another person with their arms crossed.
A woman is talking to another woman.
neutral
A blond woman speaking to a brunette woman with her arms crossed.
A woman is talking to a family member.
neutral
A blond woman speaking to a brunette woman with her arms crossed.
A woman is talking to a man.
contradiction
Students are outside for a lecture hall.
Students are indoors.
contradiction
Students are inside of a lecture hall.
Students are on the soccer field.
contradiction
Students are inside of a lecture hall.
Students are inside of the science lecture hall.
neutral
Students are attending a lecture.
Students are indoors.
neutral
Students are inside of a lecture hall.
Students are indoors.
entailment
A woman in a red polka-dot dress sings into a mic.
A woman is wearing a dress.
entailment
A man in a pink polka-dot dress sings into a mic.
A woman is wearing a dress.
contradiction
A tall woman in a red polka-dot dress sings into a mic.
A woman is wearing a dress.
neutral
A woman in a red polka-dot dress sings into a mic.
A woman is wearing a silk dress.
neutral
A woman in a red polka-dot dress sings into a mic.
A woman is wearing pants.
contradiction
Men playing a game in the park.
Some men are playing a game.
entailment
Men playing a game in the park.
Some women are playing a game.
contradiction
Men playing a game at the park.
some men play for money
entailment
Men playing a game in the park.
some men play for money
neutral
All men playing a game at the park for free.
some men play for money
contradiction
Three children are playing together in some water.
Three smart children are playing in water.
neutral
Three children are playing together at the park.
Three children are playing in water.
contradiction
Three children are playing together in some water.
Four adults are playing in sand.
contradiction
Three children are playing together in some water.
Three children are playing in water.
entailment
Children are playing together in some water.
Three children are playing in water.
neutral
A woman and a young child are making sculptures out of clay.
A child and woman with clay.
entailment
A woman and her son are painting on a canvas
A man and woman painting on canvas.
entailment
A woman and a young child are making sculptures out of clay.
A boy and woman make something.
neutral
A woman and a young child are doing art.
A man and woman painting on canvas.
neutral
A woman and a young child are making sculptures out of clay.
A man and woman painting on canvas.
contradiction
A man not wearing a shirt is pouring something out a can while sitting on sand in front of a orange and red tent.
A man is pouring orange juice outside a tent.
neutral
A man not wearing a shirt is pouring something out a can in front of a tent.
A man is walking down the trail.
neutral
A man not wearing a shirt is pouring something out a can while sitting on sand in front of a tent.
A man is walking down the trail.
entailment
A man not wearing a shirt is pouring something out a can while sitting on sand in front of a orange and red tent.
A man is walking down the trail.
contradiction
A man not wearing a shirt is pouring something out a can while sitting on sand in front of a orange and red tent.
A man is pouring outside a tent.
entailment
A football player wearing a number ten jersey is catching a football with both hands.
A sports player is catching a baseball.
contradiction
A football player wearing a number ten jersey is catching a football with one hand.
A huge player
contradiction
A giant player wearing a number ten jersey is catching a football with one hand.
A huge player
entailment
A football player wearing a number ten jersey is catching a football with both hands.
A sports player is catching a football.
entailment
A football player wearing a number ten jersey is catching a football with both hands.
A huge player
neutral
The back of a woman wearing blue jeans, black boots, and a blue and black shirt.
The back of someone in boots.
entailment
The back of a woman wearing blue jeans, and a shirt.
Someone in sandals walks away.
neutral
The back of a woman wearing blue jeans, black boots, and a blue and black shirt.
Someone walks away.
neutral
The back of a woman wearing blue jeans, sandals, and a shirt.
Someone in sandals walks away.
entailment
The back of a woman wearing blue jeans, black boots, and a blue and black shirt.
Someone in sandals walks away.
contradiction
A few kids wearing white and red are playing soccer.
Children are wearing their soccer uniform
entailment
Some kids wearing white and red are playing soccer.
Children are wearing their soccer uniform
neutral
Some kids wearing white and red are playing soccer.
Children are wearing their white and red clothes
entailment
Some kids wearing white and red are playing soccer.
Children are wearing their black uniform
contradiction
A few kids wearing white and red are playing rugby.
Children are wearing their soccer uniform
contradiction
A young lady is dressed in a blue top with black leotards and is in a dance pose.
The young lady is taking a break from exercising
contradiction
A young lady is dressed in a blue top with black leotards and is in a dance pose.
The young lady is about to dance.
entailment
A young lady is dressed in a top with black leotards and is in a dance pose after being exhausted from weightlifting.
The young lady is taking a break from exercising
entailment
A young lady is dressed in a top with black leotards.
The young lady is taking a break from exercising
neutral
A young lady is dressed in a blue top with black leotards and is in a dance pose.
The young lady is a professional dancer.
neutral
Four people trudge through the snow wearing snowshoes and using walking sticks.
Three crash survivors trying to reach civilization
contradiction
Three people trudge through the snow wearing snowshoes and using walking sticks.
Three people are in snow
entailment
Three people trudge through the snow wearing snowshoes and using walking sticks.
Six people are in mud
contradiction
Three people trudge through the snow to reach the city after emerging from a crashed airplane.
Three crash survivors trying to reach civilization
entailment
Three people trudge through the snow wearing snowshoes and using walking sticks.
Three crash survivors trying to reach civilization
neutral
Recked vehicle being towed by a large tow truck.
The firetruck was towed.
neutral
Recked ambulance being towed by a large tow truck.
The firetruck was towed.
contradiction
Recked ambulance being towed by a large tow truck.
The white ambulance was towed.
neutral
Recked ambulance being towed by a large tow truck.
The ambulance was towed.
entailment
Recked firetruck being towed by a large tow truck.
The firetruck was towed.
entailment
A man in a blue shirt is building a sand castle at the beach.
A man in a blue shirt is building a sand castle at the beach
entailment
A man in a blue shirt is at the beach.
A man in a blue shirt is building a sand castle at the beach
neutral
A man in a blue shirt is building a bank at the beach.
A man in a blue shirt is building a sand castle at the beach
contradiction
A man in a blue shirt is building a sand castle at the beach.
A man in a blue shirt is building nothing at the beach
contradiction
A man in a blue shirt is building a sand castle at the beach.
A man in a blue shirt is being forced to build a sand castle at the beach
neutral
An older man and woman sitting on a cement bench with frowns on their faces.
The man and woman are frowning.
entailment
An older man and woman sitting on a cement bench with frowns on their faces.
The man and woman are smiling.
contradiction
An older man and woman sitting on a cement bench with frowns on their faces.
The man and woman are arguing about money
neutral
An older man and woman sitting on a cement bench with frowns on their faces are arguing about their kids.
The man and woman are arguing about money
contradiction
An older man and woman sitting on a cement bench with frowns on their faces are arguing about money.
The man and woman are arguing about money
entailment
Two horse racing jockeys, one in checkered blue and red and the other in orange and brown, are racing against a blurry background.
Two horse racing jockeys are racing against a blurry background.
entailment
Two horse racing jockeys, one in checkered blue and red and the other in orange and brown, are racing against a blurry background, while two rodeo clowns are riding old sad-looking ponies.
Two rodeo clowns riding old sad-looking ponies
entailment
Two horse racing jockeys, one in checkered blue and red and the other in orange and brown, are racing against a blurry background, while two people were riding ponies near them.
Two rodeo clowns riding old sad-looking ponies
neutral
Two horse racing jockeys, one in checkered blue and red and the other in orange and brown, are racing against a blurry background.
Several horse racing jockeys are racing against a blurry background
neutral
Two horse racing jockeys, one in checkered blue and red and the other in orange and brown, are racing against a blurry background.
Two rodeo clowns riding old sad-looking ponies
contradiction
Several man in black tops sit silently.
People are playing music.
contradiction
Several man in black tops play the guitar.
People are playing music.
entailment
Several man in black tops play the guitar.
People are playing rock music.
neutral
Several man in black tops play the guitar.
People are playing baseball.
contradiction
Several man in black tops have guitars.
People are playing music.
neutral

Generalization of Counterfactually-Augmented NLI Data

@inproceedings{huang2020cnligeneralization,
 title={Counterfactually-Augmented {SNLI} Training Data Does Not Yield Better Generalization Than Unaugmented Data},
 author={William Huang and Haokun Liu and Samuel R. Bowman},
 booktitle = {Proceedings of the 2020 EMNLP Workshop on Insights from Negative Results in NLP},
 year={2020},
 publisher = {The Association for Computational Linguistics}
}
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