premise
stringlengths 7
402
| hypothesis
stringlengths 1
295
| label
class label 3
classes |
---|---|---|
A woman in a red and white dress standing next to a man in a pink shirt, purple vest, and brown hat.
|
A woman is with a man.
| 0entailment
|
A woman in a red and white dress standing next to a man in a pink shirt, purple vest, and brown hat.
|
They have never met each other, and she is not sure whether to talk to him or not.
| 1neutral
|
A woman in a red and white dress standing next to a man in a pink shirt, purple vest, and brown hat.
|
A man and woman are standing together at a ball.
| 1neutral
|
A woman in a red and white dress standing next to a man in a pink shirt, purple vest, and brown hat.
|
A man and a women wearing clothes stand near eachother.
| 0entailment
|
A woman in a red and white dress standing next to a man in a pink shirt, purple vest, and brown hat.
|
A woman and man are seeing each other from afar.
| 2contradiction
|
A woman in a red and white dress standing next to a man in a pink shirt, purple vest, and brown hat.
|
A man is dressed in multiple hues.
| 0entailment
|
A man in blue cap is holding the net.
|
The net belongs to the man
| 1neutral
|
A man in blue cap is holding the net.
|
A man is playing basketball
| 2contradiction
|
A man in blue cap is holding the net.
|
A man is wearing a blue cap
| 0entailment
|
A man in a purple shirt is holding a large fishing net.
|
A man takes a nap on a park bench.
| 2contradiction
|
A man in a purple shirt is holding a large fishing net.
|
A man holds up a fishing net.
| 0entailment
|
A man in a purple shirt is holding a large fishing net.
|
A man is excited about all of the fish in his net.
| 1neutral
|
A man in a blue hat standing with a large net in his hand.
|
A man is wearing a blue hat.
| 0entailment
|
A man in a blue hat standing with a large net in his hand.
|
A man is wearing a yellow hat.
| 2contradiction
|
A man in a blue hat standing with a large net in his hand.
|
A man is fishing.
| 1neutral
|
A man is holding a blue fishing net in front of some rocks.
|
A man is standing near a river.
| 1neutral
|
A man is holding a blue fishing net in front of some rocks.
|
A man is playing basketball.
| 2contradiction
|
A man is holding a blue fishing net in front of some rocks.
|
A man is outdoors.
| 0entailment
|
A group of women dressed for roller derby are standing and sitting in a group.
|
Roller derby team is congregating together.
| 0entailment
|
A group of women dressed for roller derby are standing and sitting in a group.
|
The roller derby team is dancing.
| 2contradiction
|
A group of women dressed for roller derby are standing and sitting in a group.
|
The roller derby team is planning game strategy.
| 1neutral
|
A photographer is taking photos of flowers.
|
A photographer has decided to never take another photo.
| 2contradiction
|
A photographer is taking photos of flowers.
|
A photographer is crafting his next book.
| 1neutral
|
A photographer is taking photos of flowers.
|
A photographer is taking photos of nature.
| 0entailment
|
Several girls are having a discussion after rollerskating.
|
Several girl monkeys are having a discussion
| 2contradiction
|
Several girls are having a discussion after rollerskating.
|
Several girls are having a loud discussion
| 1neutral
|
Several girls are having a discussion after rollerskating.
|
Several girls are having a discussion
| 0entailment
|
Female rollerskaters are taking a break and having a conversation.
|
Female rollerskaters in pink talk.
| 1neutral
|
Female rollerskaters are taking a break and having a conversation.
|
Female rollerskaters talk.
| 0entailment
|
Female rollerskaters are taking a break and having a conversation.
|
Male rollerskaters in pink talk.
| 2contradiction
|
A brunette photographer is kneeling down to take a photo.
|
The photographer is taking a picture of a child.
| 1neutral
|
A brunette photographer is kneeling down to take a photo.
|
The woman has a camera.
| 0entailment
|
A brunette photographer is kneeling down to take a photo.
|
A photographer is taking a nap.
| 2contradiction
|
Three children pose outdoors on a hike.
|
Children go on their first big hike.
| 1neutral
|
Three children pose outdoors on a hike.
|
Children are outdoors.
| 0entailment
|
Three children pose outdoors on a hike.
|
Children play Xbox .
| 2contradiction
|
A woman leans over a rail to get a picture of flowers.
|
A woman leans over a rail to get a picture of plants.
| 1neutral
|
A woman leans over a rail to get a picture of flowers.
|
A man leans over a rail to get a picture of flowers.
| 2contradiction
|
A woman leans over a rail to get a picture of flowers.
|
A woman leans over a rail to get a photograph.
| 0entailment
|
Young woman making peculiar gestures with hand and arms.
|
The woman is not moving a muscle.
| 2contradiction
|
Young woman making peculiar gestures with hand and arms.
|
The woman is deaf.
| 1neutral
|
Young woman making peculiar gestures with hand and arms.
|
The woman is moving her arms.
| 0entailment
|
A man hanging out in a commercial kitchen.
|
A man standing in a commercial kitchen.
| 0entailment
|
A man hanging out in a commercial kitchen.
|
A man is making a bed.
| 2contradiction
|
A man hanging out in a commercial kitchen.
|
A man is in the room.
| 1neutral
|
A lesbian couple kiss while walking down a busy street.
|
Two lovers take time out of the busy day.
| 1neutral
|
A lesbian couple kiss while walking down a busy street.
|
Two women are kissing in a street
| 0entailment
|
A lesbian couple kiss while walking down a busy street.
|
A deer is running through an open field
| 2contradiction
|
A gray dog runs in a backyard terrace.
|
A gray dog sleeps in the sun.
| 2contradiction
|
A gray dog runs in a backyard terrace.
|
a gray dog fetches the ball.
| 1neutral
|
A gray dog runs in a backyard terrace.
|
A gray dog runs outside.
| 0entailment
|
Two people in black leather ride motorcycles.
|
A woman is jogging in the forest.
| 2contradiction
|
Two people in black leather ride motorcycles.
|
Two people are racing on their motorcycles.
| 1neutral
|
Two people in black leather ride motorcycles.
|
Two people are outside.
| 0entailment
|
An old Ford passes through the street.
|
An automobile drives down the road
| 0entailment
|
An old Ford passes through the street.
|
A new BMW races down the highway
| 2contradiction
|
An old Ford passes through the street.
|
An old Ford F-150 makes its way down the road
| 1neutral
|
Lady in a pink Tinkerbell jacket stands next to the railing and looks out at the water.
|
The lady in the pink jacket is in her car.
| 2contradiction
|
Lady in a pink Tinkerbell jacket stands next to the railing and looks out at the water.
|
The lady in the pink jacket is outside.
| 0entailment
|
Lady in a pink Tinkerbell jacket stands next to the railing and looks out at the water.
|
The lady in the pink jacket is looking for a dog.
| 1neutral
|
Ladies standing up on the side of a board for the Tuscany Sun Festival.
|
the ladies are laying on the beach
| 2contradiction
|
Ladies standing up on the side of a board for the Tuscany Sun Festival.
|
ladies are standing
| 0entailment
|
Ladies standing up on the side of a board for the Tuscany Sun Festival.
|
the ladies are hot
| 1neutral
|
Kids are playing in an oceanic tidal flat.
|
The kids are checking out a sea anemone.
| 1neutral
|
Kids are playing in an oceanic tidal flat.
|
The tide flats are being visited by some kids.
| 0entailment
|
Kids are playing in an oceanic tidal flat.
|
The adults are finding oysters.
| 2contradiction
|
A man holding a yellow balloon sitting on a bench next to a woman with a little girl in front of her and a little boy in green rain boots walking in front of them.
|
There are two little boys.
| 2contradiction
|
A man holding a yellow balloon sitting on a bench next to a woman with a little girl in front of her and a little boy in green rain boots walking in front of them.
|
The people are outside.
| 0entailment
|
A man holding a yellow balloon sitting on a bench next to a woman with a little girl in front of her and a little boy in green rain boots walking in front of them.
|
The people on the bench are a family.
| 1neutral
|
Young man with red stains on face, with two women, posing in black clothing.
|
The young man is eating juicy strawberries.
| 1neutral
|
Young man with red stains on face, with two women, posing in black clothing.
|
They are all dressed in white.
| 2contradiction
|
Young man with red stains on face, with two women, posing in black clothing.
|
There are three people.
| 0entailment
|
Three people wear a lot of makeup and stand together.
|
Three people wearing ski masks rob a bank.
| 2contradiction
|
Three people wear a lot of makeup and stand together.
|
Three people wearing dark makeup stand at the club.
| 1neutral
|
Three people wear a lot of makeup and stand together.
|
Three people wearing makeup stand together
| 0entailment
|
Two women in Gothic makeup are posing next to a man in a leather jacket and red scarf.
|
The two women are asleep.
| 2contradiction
|
Two women in Gothic makeup are posing next to a man in a leather jacket and red scarf.
|
The two women are goths.
| 1neutral
|
Two women in Gothic makeup are posing next to a man in a leather jacket and red scarf.
|
The two women are with a man.
| 0entailment
|
Man with red marks around mouth standing with two women who are wearing black.
|
The people are standing.
| 0entailment
|
Man with red marks around mouth standing with two women who are wearing black.
|
A male vampire who has recently fed standing with his concubines.
| 1neutral
|
Man with red marks around mouth standing with two women who are wearing black.
|
Three people playing golf.
| 2contradiction
|
Two elegantly dressed women wearing white having there picture made on a city sidewalk.
|
They are getting their picture taken.
| 0entailment
|
Two elegantly dressed women wearing white having there picture made on a city sidewalk.
|
They are in a cave.
| 2contradiction
|
Two elegantly dressed women wearing white having there picture made on a city sidewalk.
|
They are outside taking pictures.
| 1neutral
|
A man and 2 women in dark clothing.
|
The man and 2 women are in bright yellow shirts.
| 2contradiction
|
A man and 2 women in dark clothing.
|
The man and 2 women have on matching dark clothing.
| 1neutral
|
A man and 2 women in dark clothing.
|
The man and 2 women have on clothes.
| 0entailment
|
A busy women in black and white color dress is crossing the road.
|
A woman walks on the sidewalk.
| 2contradiction
|
A busy women in black and white color dress is crossing the road.
|
A woman crosses the road.
| 0entailment
|
A busy women in black and white color dress is crossing the road.
|
A woman crosses the road on the way to work.
| 1neutral
|
A city street scene with the backs of a woman crossing the street and a bicyclist.
|
there was an accident, a female and a bicyclist identified
| 0entailment
|
A city street scene with the backs of a woman crossing the street and a bicyclist.
|
female took lift from bicyclist
| 2contradiction
|
A city street scene with the backs of a woman crossing the street and a bicyclist.
|
police officer was there
| 1neutral
|
A woman in a blue and white polka dotted dress is crossing the street in a busy city.
|
The woman is clothed.
| 0entailment
|
A woman in a blue and white polka dotted dress is crossing the street in a busy city.
|
The woman is asleep.
| 2contradiction
|
A woman in a blue and white polka dotted dress is crossing the street in a busy city.
|
The woman is going to work.
| 1neutral
|
A woman in blue dress in crossing the street while a person in bright yellow is riding their bike down it.
|
The woman is old
| 1neutral
|
A woman in blue dress in crossing the street while a person in bright yellow is riding their bike down it.
|
The woman is in blue
| 0entailment
|
A woman in blue dress in crossing the street while a person in bright yellow is riding their bike down it.
|
The woman is naked
| 2contradiction
|
Pedestrians busy walking and shopping.
|
One person is walking on an empty sidewalk.
| 2contradiction
|
Subsets and Splits
SQL Console for stanfordnlp/snli
Retrieves all samples from the test dataset where the label is -1, providing basic filtering with limited analytical value.