Datasets:
cestwc
/
lsnli-full-uncertain

Dataset card Data Studio Files Community
premise
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7
402
hypothesis
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1
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label
int64
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probability
float64
-100
1
explanation_1
stringlengths
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explanation_2
stringclasses
1 value
explanation_3
stringclasses
1 value
premise_logic
stringlengths
3
2.12k
hypothesis_logic
stringlengths
3
2.09k
Tourists waiting at a train stop.
A group of tourist waiting for a train at a train station.
0
-100
A group of tourists waiting for a train must also be a at train station to depart.
(-x)
(-x)
A doctor in blue scrubs is performing an operation assisted by two men and a woman.
a old man was talking
0
-100
The doctor could be an old man and he has to talk to be assisted by the two men and the woman.
(-x)
(-x)
A doctor in blue scrubs is performing an operation assisted by two men and a woman.
the boys were angry
2
-100
If they are boys, they cannot be a doctor.
(-x)
(-x)
A doctor in blue scrubs is performing an operation assisted by two men and a woman.
the child was happy
1
-100
A doctor and his assistants can operate without a child being present or happy.
(-x)
(-x)
A woman with a black jacket walks past an outdoor movie poster.
A female is leaving a movie theatre.
1
-100
walking past an outdoor movie poster does not necessarily imply she is leaving a movie theatre.
(-x)
(-x)
A woman with a black jacket walks past an outdoor movie poster.
A woman walking outside.
0
-100
A woman walking outside explains how the woman could be walking past an outdoor movie poster.
(-x)
(-x)
A woman with a black jacket walks past an outdoor movie poster.
A woman is cleaning up.
2
-100
The woman cannot walk past and also be cleaning up.
(-x)
(-x)
A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.
A man stands.
0
-100
A man stands is a more general way of explaining a man is standing on the sidewalk.
(-x)
(-x)
A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.
My love's like a red, red wig.
2
-100
A hat and a wig are two separate items.
(-x)
(-x)
A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.
Others are nearby.
1
-100
others may refer to other men or women.
(-x)
(-x)
Indian lady and a guy in a blue suit dancing in the sunlight.
A woman eats a pickle.
2
-100
If a woman is dancing, then she is not eating.
(-x)
(-x)
Indian lady and a guy in a blue suit dancing in the sunlight.
Two people dancing outdoors.
0
-100
Two people dancing outdoors is a general way of saying an indian lady and a guy dancing in the sunlight.
(-x)
(-x)
Indian lady and a guy in a blue suit dancing in the sunlight.
Two people dancing while a band performs.
1
-100
Two people dancing in the sunlight does not imply a band performs.
(-x)
(-x)
Two older men are talking.
Two people are having a conversation.
0
-100
Two people having a conversation is one way of explaining two older men are talking.
(-x)
(-x)
Two older men are talking.
Men are exchanging ideas.
1
-100
two men are talking does not mean they are exchanging ideas they could be discussing about sports.
(-x)
(-x)
Two older men are talking.
A crowd is talking over each other.
2
-100
A crowd is more than two men.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
They are going fast.
1
0.053987
jumping a slope outdoors in a forest area does not imply going fast
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists e1 s1 x1.(n_thing(x1) & a_fast(s1) & Manner(e1,s1) & Actor(e1,x1) & v_go(e1))
A mountain biker jumping a slope outdoors in a forest area.
A biker is doing jumps by trees.
0
0.831598
A bikder doing jumps by trees is the same as saying a biker is jumping a slope in a forest area.
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists e1 x1 x2 x3.(by(e1,x3) & n_tree(x3) & Theme(e1,x2) & Actor(e1,x1) & v_do(e1) & n_jump(x2) & n_biker(x1))
A mountain biker jumping a slope outdoors in a forest area.
They aren't on bikes.
2
-100
If they the bikers are jumping a slope outdoors, then they would have to be on bikes.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
A person is trying to learn new tricks on their bike.
1
0.344117
jumping a slope outdoors in a forest area does not mean the person is trying to learn new tricks on their bike.
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists e1 p1 x1 x3.(Topic(e1,p1) & Actor(e1,x1) & v_try(e1) & exists e2 s1 x2.(on(e2,x3) & Theme(e2,x2) & Actor(e2,x1) & v_learn(e2) & n_trick(x2) & a_new(s1) & Theme(s1,x2)) & n_bike(x3) & of(x3,x1) & n_thing(x1) & n_person(x1))
A mountain biker jumping a slope outdoors in a forest area.
The biker is jumping into a hole.
0
-100
A moutain biker jumping and a biker jumping is the same action.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
A person rides a bike outdoors.
0
-100
A person rides a bike outdoors is one general way of saying a biker is jumping a slope outdoors.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
The biker can be a man or a woman
1
0.998297
there is no indication that the biker is a mountain biker
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists e1 p1 x1.(n_biker(x1) & exists p2.(exists x2.((x1 = x2) & n_man(x2)) | exists x3.((x1 = x3) & n_woman(x3))) & Topic(e1,p1) & Actor(e1,x1) & v_can(e1))
A mountain biker jumping a slope outdoors in a forest area.
There's a biker
0
-100
A biker is one way of saying a mountain biker.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
A biker is doing jumps in a wooded area.
1
0.915301
A biker is doing jumps in a wooded area may not necessarily be in a forest.
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists e1 s1 x1 x2 x3.(in(e1,x3) & n_area(x3) & a_wooded(s1) & Theme(s1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_do(e1) & n_jump(x2) & n_biker(x1))
A mountain biker jumping a slope outdoors in a forest area.
The biker is using a small bike to jump a hole.
1
0.000815
A hole and slope are not the same thing.
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists e1 p1 s1 x1 x2.(n_biker(x1) & Topic(e1,p1) & exists e2 x3.(Theme(e2,x3) & Actor(e2,x1) & v_jump(e2) & n_hole(x3)) & Theme(e1,x2) & Actor(e1,x1) & v_use(e1) & n_bike(x2) & a_small(s1) & Theme(s1,x2))
A mountain biker jumping a slope outdoors in a forest area.
They are avoiding trees.
0
-100
They are avoiding trees could be one way of saying a mountain biker is avoiding trees by jumping a slope outdoors.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
The mountain biker is going on a desert trail.
2
-100
A forest and a desert are two different locations.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
The biker is trying to jump over a volcano.
2
-100
You would not find a volcano in a forest area.
(-x)
(-x)
A mountain biker jumping a slope outdoors in a forest area.
He's indoors
2
0.000001
The biker cannot be outdoors and indoors simultaneously.
exists e1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & Theme(e1,x4) & Actor(e1,x3) & v_jump(e1) & in(x4,x6) & n_area(x6) & of(x6,x7) & n_forest(x7) & n_outdoors(x4) & of(x4,x5) & n_slope(x5) & (x1 = x3) & n_biker(x1) & of(x1,x2) & n_mountain(x2))
exists p1 x1.(n_male(x1) & exists x2.((x1 = x2) & n_indoor(x2)))
A mountain biker jumping a slope outdoors in a forest area.
A person is riding in a bobsled.
2
-100
A biker would be riding a bike, not a bobsled.
(-x)
(-x)
Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.
The old men are discussing the weather.
1
-100
There are many things the men may be talking about not necessarily discussing the weather.
(-x)
(-x)
Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.
Two old men in winter coats talk outside.
0
-100
if two older men in winter coats are talking outside then the two old men in winter coats are talking outside
(-x)
(-x)
Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.
The old men are wearing raincoats.
2
-100
Winter coats are different than raincoats.
(-x)
(-x)
Two elderly men having a conversation, snow covered grass in the background.
The men are drinking coffee and having some cookies
2
-100
Snow covered grass would be outside, men would drink coffee and have cookies inside.
(-x)
(-x)
Two elderly men having a conversation, snow covered grass in the background.
The men are sleeping
2
-100
If the men are having a conversation, then they would not be sleeping.
(-x)
(-x)
Two elderly men having a conversation, snow covered grass in the background.
There are two men outside in this picture
0
-100
The grass in the background implies the men are outside.
(-x)
(-x)
Two men are standing outside and snow is on the ground.
Two men preparing for a snowball fight.
1
-100
They can't be preparing for a snowball fight if they are just standing.
(-x)
(-x)
Two men are standing outside and snow is on the ground.
People are near snow.
0
-100
Two men can be rephrased to people. It is implied that since they are standing outside and snow is on the ground they must be near the snow.
(-x)
(-x)
Two men are standing outside and snow is on the ground.
Men making snow angels.
2
-100
The men are standing or making snow angels.
(-x)
(-x)
Two older men in coats are standing outside.
These men never wore coats.
2
-100
The men are either in coats or never wore the coats.
(-x)
(-x)
Two older men in coats are standing outside.
They are outside wearing coats.
0
-100
men in coats are outside
(-x)
(-x)
Two older men in coats are standing outside.
It is cold, but they went outside anyway.
1
-100
Just because Two older men in coats are standing outside doesn't mean it is cold.
(-x)
(-x)
A gentleman in a purple scarf and hat is looking at money while holding an accordion.
A woman is brushing her hair in her bedroom.
2
-100
There can either be a gentleman or a woman.
(-x)
(-x)
A gentleman in a purple scarf and hat is looking at money while holding an accordion.
A man is holding an accordian.
0
-100
A gentleman is a type of man.
(-x)
(-x)
A gentleman in a purple scarf and hat is looking at money while holding an accordion.
A man is looking at a hundreds of dollars.
1
-100
It doesn't say how much money there is; it may not be hundreds of dollars.
(-x)
(-x)
BMX biker jumps over a ravine.
ravine jumping is never easy
1
-100
The ravine might be small; we can't say it is never easy.
(-x)
(-x)
BMX biker jumps over a ravine.
there is a bmx biker who is perfect in ravine jumping
0
-100
"Ravine jumping" is a rephrasing of "jumps over a ravine."
(-x)
(-x)
BMX biker jumps over a ravine.
anybody can do ravine jumping
2
-100
There can either be a BMX biker or anybody can do a jump over a ravine.
(-x)
(-x)
A white bike is tied to a street sign.
the bike is tied to a stop sign
1
-100
A street sign could be any number of different signs, only one being a stop sign.
(-x)
(-x)
A white bike is tied to a street sign.
the car is parked at the sign
2
-100
It is either a white bike or a car.
(-x)
(-x)
A white bike is tied to a street sign.
the bike is tied to a sign
0
-100
tied to a sign implies that tied to a street sign.
(-x)
(-x)
A white bike is leaning against a post.
A bike is on the ground about to be reparied
2
-100
The bike cannot be both leaning against a post and on the ground at once.
(-x)
(-x)
A white bike is leaning against a post.
A bike with a flat tire is not being ridden
1
-100
It is not obvious from leaning against a post that the bike has a flat tire.
(-x)
(-x)
A white bike is leaning against a post.
A bike it outside
0
-100
The post is outside therefore the bike is outside.
(-x)
(-x)
The boy locked the cycle and went away.
A boy riding a bike.
2
-100
The bike is either locked up or he is riding it.
(-x)
(-x)
The boy locked the cycle and went away.
A boy walking away.
0
-100
If a boy is walking away he went away.
(-x)
(-x)
The boy locked the cycle and went away.
A bicycle chained up with a boy walking away.
1
-100
The fact that the boy locked the cycle and went away does not imply that a bicycle chained up with a boy walking away.
(-x)
(-x)
A crowded city during daytime.
A city filled with people in the middle of the daytime.
0
-100
"A city filled with people," is a rephrasing of "a crowded city."
(-x)
(-x)
A crowded city during daytime.
A abandoned city at the edge of the world.
2
-100
A crowded city cannot be abandoned.
(-x)
(-x)
A crowded city during daytime.
A crowded city filled with many cars on a warm summer day.
1
-100
you don't know what the city is filled with, so it may not be many cars. Also, we know it's daytime, but not that it is warm or sunny.
(-x)
(-x)
People walking around in a big city.
People are walking to the park.
1
-100
city is not the same as park.
(-x)
(-x)
People walking around in a big city.
People are outside.
0
-100
If people are walking around a big city, they are outside.
(-x)
(-x)
People walking around in a big city.
The people are asleep.
2
-100
Cannot be walking around and asleep at the same time.
(-x)
(-x)
A busy city that looks like New York City.
The city has a lot of people in it.
0
-100
A city that is busy has a lot of people in it.
(-x)
(-x)
A busy city that looks like New York City.
The city is very large.
1
-100
Many cities are very large and not just New York City.
(-x)
(-x)
A busy city that looks like New York City.
The city looks like Lawrence, Kansas.
2
-100
The city either looks like NYC or Lawrence, KS. It cannot resemble two such different cities.
(-x)
(-x)
A view of buildings and people walking across the streets in Times Square, New York City.
There is a city.
0
-100
Time Square is a city in New York.
(-x)
(-x)
A view of buildings and people walking across the streets in Times Square, New York City.
The field of poppies is perfectly still.
2
-100
It is either a view of buildings and people or a field of poppies.
(-x)
(-x)
A view of buildings and people walking across the streets in Times Square, New York City.
Times Square in New York City is full of people and bustling with noise and activity.
1
-100
The fact that people are walking across the street doesn't imply that there are full of people and they are bustling with noise and activity.
(-x)
(-x)
A woman is making a clay pot.
A man is painting a painting.
2
-100
Either a man or a woman. Cannot be painting and making a clay pot simultaneously.
(-x)
(-x)
A woman is making a clay pot.
A woman is making a flower pot.
1
-100
Sentence 1 is missing flower pot
(-x)
(-x)
A woman is making a clay pot.
An artist is sculpting with clay.
0
-100
A woman who is an artist is making or sculpting clay.
(-x)
(-x)
A barber waiting for customers.
A barber is inside his shop standing in the front.
1
-100
he does not have to wait inside his shop
(-x)
(-x)
A barber waiting for customers.
A barber is at work.
0
-100
A barber who has customers is at work.
(-x)
(-x)
A barber waiting for customers.
The barber is closing the shop at the end of the day.
2
-100
He is either waiting or closing the store.
(-x)
(-x)
A man sitting in a barber shop.
There is an individual waiting indoors.
0
-100
A man is an individual at a indoors barber shop.
(-x)
(-x)
A man sitting in a barber shop.
A man is waiting to get his haircut.
1
-100
The man can be sitting in the barber ship without waiting to get a haircut - he could be the barber.
(-x)
(-x)
A man sitting in a barber shop.
A man is brushing his teeth.
2
-100
He is either sitting or brushing his teeth.
(-x)
(-x)
A woman preparing to glaze a bowl.
A woman happily preparing to glaze
1
-100
Just because the woman is preparing to glaze a bowl does not not mean that she is doing it happily.
(-x)
(-x)
A woman preparing to glaze a bowl.
A woman not preparing to glaze
2
-100
She is either preparing or not preparing to glaze a bowl.
(-x)
(-x)
A woman preparing to glaze a bowl.
A woman preparing to glaze
0
-100
A woman is preparing to use glaze.
(-x)
(-x)
A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.
A woman wearing gloves is washing dishes.
2
-100
The woman is wearing either an apron or gloves.
(-x)
(-x)
A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.
A woman wearing a red apron inspects a large black pot on a table filled with cups, bowls, pots and baskets of assorted size.
1
-100
Aprons do not have to be red. A pot can be any color, not just black.
(-x)
(-x)
A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.
A woman is wearing an apron.
0
-100
A woman wearing an apron puts a pot on a table.
(-x)
(-x)
A model posing to look as if she's a real female soccer player.
A man is modeling for a cooking show.
2
-100
A man cannot be female, nor would he be referred to as she. Modeling for a cooking show would look very different than modeling as a soccer player.
(-x)
(-x)
A model posing to look as if she's a real female soccer player.
A woman is trying to model for a sports magazine.
1
-100
A model trying to look like a soccer player is not necessarily posing for a sports magazine.
(-x)
(-x)
A model posing to look as if she's a real female soccer player.
A model is doing a shoot.
0
-100
The model is doing a photo shoot so she must be posing.
(-x)
(-x)
Firemen emerge from a subway station.
Firemen walking outside
0
-100
Firemen emerge outside from the station.
(-x)
(-x)
Firemen emerge from a subway station.
The station is empty
2
-100
The station can be either empty or with firemen inside.
(-x)
(-x)
Firemen emerge from a subway station.
The firemen are not working
1
-100
Just because firemen are coming out of the subway does not mean that they are not working.
(-x)
(-x)
Exhausted looking firemen are walking.
Firemen are walking.
0
-100
The firemen walking look exhausted.
(-x)
(-x)
Exhausted looking firemen are walking.
Exhausted looking firemen are walking back to the fire station to rest.
1
-100
Not all exhausted firemen who are walking are going back to the fire station to rest.
(-x)
(-x)
Exhausted looking firemen are walking.
Determined looking firemen are running into a burning building.
2
-100
One can't be walking and running at the same time.
(-x)
(-x)
Three firefighters, the nearest firefighter is holding a helmet in his left hand.
Three man are holding axes in their left hands.
2
-100
The nearest firefighter is either holding an axe or holding a helmet
(-x)
(-x)
Three firefighters, the nearest firefighter is holding a helmet in his left hand.
The three firefighters are discussing sports.
1
-100
Just because a one of the firefighters is holding a helmet does not mean that they are discussing sports.
(-x)
(-x)
Three firefighters, the nearest firefighter is holding a helmet in his left hand.
The firemen are gathered one is holding his helmet.
0
-100
One of the firefighters is holding a helmet in his hand.
(-x)
(-x)
A man walking along side a clean up crew.
The man directed the clean up crew where to go.
1
-100
Not all men who walk beside a clean up crew will direct the clean up crew where to go.
(-x)
(-x)
A man walking along side a clean up crew.
The woman jogged alongside the crew.
2
-100
If it's a man, it can't be a woman.
(-x)
(-x)
A man walking along side a clean up crew.
The man walked alongside the crew.
0
-100
The crew is a renaming of the clean up crew.
(-x)
(-x)