premise
stringlengths 7
402
| hypothesis
stringlengths 1
295
| label
class label 3
classes |
---|---|---|
A person is standing at the top of a rocky cliff overlooking land.
|
A person is standing at the top of a rocky cliff, preparing to jump to their death.
| 2contradiction
|
A person is standing at the top of a rocky cliff overlooking land.
|
A person is standing at the top of a rocky cliff at the pacific ocean.
| 1neutral
|
A person is standing at the top of a rocky cliff overlooking land.
|
An eagle is training its chicks to fly.
| 1neutral
|
A person is standing at the top of a rocky cliff overlooking land.
|
A man is outdoors looking off a cliff.
| 0entailment
|
A person is standing at the top of a rocky cliff overlooking land.
|
A man swims in a river, coming close to a waterfall.
| 2contradiction
|
A person is standing at the top of a rocky cliff overlooking land.
|
A person is standing at the top of a rocky cliff surveying their surroundings.
| 0entailment
|
A person is standing at the top of a rocky cliff overlooking land.
|
A man has just climbed up a cliff, and is looking below.
| 1neutral
|
A person is standing at the top of a rocky cliff overlooking land.
|
An eagle is flying through the sky.
| 0entailment
|
A person is standing at the top of a rocky cliff overlooking land.
|
A woman is getting ready for her job interview.
| 2contradiction
|
A person is standing at the top of a rocky cliff overlooking land.
|
A man is going for a hike.
| 1neutral
|
A person is standing at the top of a rocky cliff overlooking land.
|
A guy is thinking about jumping off the cliff.
| 1neutral
|
A person is standing at the top of a rocky cliff overlooking land.
|
A human is perched on a rock.
| 0entailment
|
Woman and two kids walk in the street
|
A women and two kids lay in the street.
| 2contradiction
|
Woman and two kids walk in the street
|
A mother and kids walk in the street.
| 1neutral
|
Woman and two kids walk in the street
|
Three peopel walk in the street.
| 0entailment
|
A female swimmer swimming underwater with a nose clip and cap on her head.
|
A female swimming the State championship race.
| 1neutral
|
A female swimmer swimming underwater with a nose clip and cap on her head.
|
A female swimming.
| 0entailment
|
A female swimmer swimming underwater with a nose clip and cap on her head.
|
A female swimming above water.
| 2contradiction
|
Female performer wearing a striped shirt and black leather jacket singing on stage.
|
A singer performs on stage.
| 0entailment
|
Female performer wearing a striped shirt and black leather jacket singing on stage.
|
A female clown juggles for a group of children.
| 2contradiction
|
Female performer wearing a striped shirt and black leather jacket singing on stage.
|
A woman in a striped shirt performs in front of a large audience.
| 1neutral
|
A brown, shaggy dog has a plastic snowman toy in his mouth.
|
A shaggy dog is chewing on something.
| 1neutral
|
A brown, shaggy dog has a plastic snowman toy in his mouth.
|
A brown dog is playing with his snowman toy.
| 0entailment
|
A brown, shaggy dog has a plastic snowman toy in his mouth.
|
A hairless dog wanders into the alley.
| 2contradiction
|
A naked baby makes a face while helping someone stir food
|
The baby is wearing clothes.
| 2contradiction
|
A naked baby makes a face while helping someone stir food
|
The baby is sad.
| 1neutral
|
A naked baby makes a face while helping someone stir food
|
The baby is naked.
| 0entailment
|
A man talking on the phone and walking by a large poster.
|
Someone is talking to their friend
| 1neutral
|
A man talking on the phone and walking by a large poster.
|
The man is swimming
| 2contradiction
|
A man talking on the phone and walking by a large poster.
|
A person is communicating with another
| 0entailment
|
The racing dog with the "4" jersey surges ahead of the dog with the "5" jersey.
|
A dog racing another dog.
| 0entailment
|
The racing dog with the "4" jersey surges ahead of the dog with the "5" jersey.
|
Two dogs competing in a championship race.
| 1neutral
|
The racing dog with the "4" jersey surges ahead of the dog with the "5" jersey.
|
A dog resting on a bed.
| 2contradiction
|
A man standing on his cellphone next to a picture of a woman.
|
The man is sitting at home
| 2contradiction
|
A man standing on his cellphone next to a picture of a woman.
|
The cellphone is on the ground
| 0entailment
|
A man standing on his cellphone next to a picture of a woman.
|
A man on his phone as he looks at a picture of his wife.
| 1neutral
|
A man standing on his cellphone next to a picture of a woman.
|
An old man standing on his phone next to a picture.
| 1neutral
|
A man standing on his cellphone next to a picture of a woman.
|
A picture of a woman is beside a man.
| 0entailment
|
A man standing on his cellphone next to a picture of a woman.
|
He has a picture of his girlfriend
| 1neutral
|
A man standing on his cellphone next to a picture of a woman.
|
a man on the phone
| 0entailment
|
A man standing on his cellphone next to a picture of a woman.
|
A women is sitting next to a man.
| 2contradiction
|
A man standing on his cellphone next to a picture of a woman.
|
The man is on his phone.
| 1neutral
|
A man standing on his cellphone next to a picture of a woman.
|
the man is laying down
| 2contradiction
|
A man standing on his cellphone next to a picture of a woman.
|
A couple gets on a plane.
| 2contradiction
|
A man standing on his cellphone next to a picture of a woman.
|
A man on his phone.
| 0entailment
|
A man standing on his cellphone next to a picture of a woman.
|
A man is standing.
| 0entailment
|
A man standing on his cellphone next to a picture of a woman.
|
The man is sitting.
| 2contradiction
|
A man standing on his cellphone next to a picture of a woman.
|
the picture is mona lisa
| 1neutral
|
A man is on a cellphone standing in front of a movie poster.
|
A man on a phone is standing in front of a poster.
| 0entailment
|
A man is on a cellphone standing in front of a movie poster.
|
A man is sitting down in his seat.
| 2contradiction
|
A man is on a cellphone standing in front of a movie poster.
|
A man is standing on his phone in a theater lobby.
| 1neutral
|
A man talks on his cellphone in front of an advertisement.
|
A man is on his phone.
| 0entailment
|
A man talks on his cellphone in front of an advertisement.
|
A man talks on his cellphone in front of the ocean.
| 2contradiction
|
A man talks on his cellphone in front of an advertisement.
|
A man talks to his girlfriend on his cellphone in front of an advertisement.
| 1neutral
|
A man wearing black pants and a white shirt busily working in a restaurant kitchen with food and 3 wine bottles on the counter to his right, and dishes in the dishwasher to his left.
|
A man wearing black pants
| 0entailment
|
A man wearing black pants and a white shirt busily working in a restaurant kitchen with food and 3 wine bottles on the counter to his right, and dishes in the dishwasher to his left.
|
A man joyously wearing black pants
| 1neutral
|
A man wearing black pants and a white shirt busily working in a restaurant kitchen with food and 3 wine bottles on the counter to his right, and dishes in the dishwasher to his left.
|
A man not wearing black pants
| 2contradiction
|
A person in a wheelchair is on a sidewalk.
|
A man is sitting in a portable transport chair outside.
| 0entailment
|
A person in a wheelchair is on a sidewalk.
|
A woman is pushing an elderly person in a hospital bed.
| 2contradiction
|
A person in a wheelchair is on a sidewalk.
|
A man in a wheelchair is pushing himself down the street.
| 1neutral
|
A bunch of people at the beach.
|
One person is walking on the back alone.
| 2contradiction
|
A bunch of people at the beach.
|
A large group at the beach are celebrating the 4th of July.
| 1neutral
|
A bunch of people at the beach.
|
There is a large group of people at the beach.
| 0entailment
|
Man during sunny afternoon top of roof fixing light without shirt.
|
A man is sunbathing on top of someones roof.
| 2contradiction
|
Man during sunny afternoon top of roof fixing light without shirt.
|
A man on top of a roof fixing a light has no shirt on during a sunny day.
| 0entailment
|
Man during sunny afternoon top of roof fixing light without shirt.
|
A construction worker is fixing someones roof light on a sunny day as he tans with no shirt on.
| 1neutral
|
Many people are standing outside of an airport with their luggage.
|
The people have boarded their plane.
| 2contradiction
|
Many people are standing outside of an airport with their luggage.
|
The people are about to fly to Australia.
| 1neutral
|
Many people are standing outside of an airport with their luggage.
|
A group of people stand outside the airport with their suitcases.
| 0entailment
|
People on the beach and a kite in the sky.
|
The kite is buried in mud.
| 2contradiction
|
People on the beach and a kite in the sky.
|
The people are flying a kite.
| 1neutral
|
People on the beach and a kite in the sky.
|
There are people outside near a body of water.
| 0entailment
|
A line of people carrying luggage on the side of the road.
|
Vacationers enjoy a day at the beach.
| 2contradiction
|
A line of people carrying luggage on the side of the road.
|
There are people standing by a road outside.
| 0entailment
|
A line of people carrying luggage on the side of the road.
|
Travelers wait for their bus with their suitcases.
| 1neutral
|
Long line of people on a sidewalk near a cruise ship.
|
There is a long line of people at the grocery store.
| 2contradiction
|
Long line of people on a sidewalk near a cruise ship.
|
The line of people are waiting to board a cruise ship.
| 1neutral
|
Long line of people on a sidewalk near a cruise ship.
|
There are a long line of people outdoors.
| 0entailment
|
An older man is playing a video arcade game.
|
The man is young
| 2contradiction
|
An older man is playing a video arcade game.
|
The game is Sunset Riders
| 1neutral
|
An older man is playing a video arcade game.
|
A man is playing a game
| 0entailment
|
A guy in a white shirt preparing food in a restaurant.
|
There is a male who prepares the food in a restaurant.
| 0entailment
|
A guy in a white shirt preparing food in a restaurant.
|
The guy who prepares the food, is the owner.
| 1neutral
|
A guy in a white shirt preparing food in a restaurant.
|
This restaurant does not serve food.
| 2contradiction
|
A man, who is wearing the tan coat, is gambling at a casino slot machine.
|
a man in a fedora is gambling
| 1neutral
|
A man, who is wearing the tan coat, is gambling at a casino slot machine.
|
a man is gambling at a slot machine
| 0entailment
|
A man, who is wearing the tan coat, is gambling at a casino slot machine.
|
a man is picking tomatoes in his garden
| 2contradiction
|
And older man is playing a slot machine at a casino type environment.
|
An old man is going to the movies.
| 2contradiction
|
And older man is playing a slot machine at a casino type environment.
|
A man is gambling.
| 0entailment
|
And older man is playing a slot machine at a casino type environment.
|
An old man is wasting his money.
| 1neutral
|
A town full of people shopping at night.
|
A town full of people shopping late in the day.
| 0entailment
|
A town full of people shopping at night.
|
A town full of people shopping while the stars are out.
| 0entailment
|
A town full of people shopping at night.
|
A town full of people at a concert.
| 2contradiction
|
An outside market is packed with people.
|
The people are buying flowers
| 1neutral
|
An outside market is packed with people.
|
The market is empty
| 2contradiction
|
An outside market is packed with people.
|
The market is packed
| 0entailment
|
People shopping at an outside food and clothing market.
|
People attempt to sell goods outdoors.
| 1neutral
|
People shopping at an outside food and clothing market.
|
Some people are looking at clothing.
| 0entailment
|
People shopping at an outside food and clothing market.
|
Some people can be seen protesting outdoors.
| 2contradiction
|
In this picture we see a man cooking in a kitchen.
|
An elderly man is making his dinner.
| 1neutral
|
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.