premise
stringlengths 7
402
| hypothesis
stringlengths 1
295
| label
int64 -1
2
| probability
float64 -100
1
| explanation_1
stringlengths 0
917
| explanation_2
stringclasses 1
value | explanation_3
stringclasses 1
value | premise_logic
stringlengths 3
2.12k
| hypothesis_logic
stringlengths 3
2.09k
| id
stringlengths 36
36
|
|---|---|---|---|---|---|---|---|---|---|
A woman is walking across the street eating a banana, while a man is following with his briefcase.
|
the woman is a seductress
| 1
| 0.011402
|
The woman's actions to not imply any personal information about her. Now it is known that she is a seductress.
|
exists e1 e2 p1 x1 x2 x3 x5.(n_briefcase(x5) & of(x5,x2) & n_male(x2) & n_street(x2) & for(e1,e2) & exists e3 x4.(with(e3,x5) & Actor(e3,x4) & v_follow(e3) & n_man(x4)) & while(e2,p1) & Theme(e2,x3) & Actor(e2,x1) & v_eat(e2) & n_banana(x3) & across(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_woman(x1))
|
exists p1 x1.(n_woman(x1) & exists x2.((x1 = x2) & n_seductress(x2)))
|
4976171a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A woman is walking across the street eating a banana, while a man is following with his briefcase.
|
a woman sits for lunch
| 2
| -100
|
One cannot walks and sits at the same time.
|
(-x)
|
(-x)
|
49761bd4-e4c8-11ec-9cdd-0242ac1c0002
|
||
A woman is walking across the street eating a banana, while a man is following with his briefcase.
|
the woman is having coffee at the cafe
| 2
| 0.00004
|
one cannot have coffee and banana at the same time.
|
exists e1 e2 p1 x1 x2 x3 x5.(n_briefcase(x5) & of(x5,x2) & n_male(x2) & n_street(x2) & for(e1,e2) & exists e3 x4.(with(e3,x5) & Actor(e3,x4) & v_follow(e3) & n_man(x4)) & while(e2,p1) & Theme(e2,x3) & Actor(e2,x1) & v_eat(e2) & n_banana(x3) & across(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_woman(x1))
|
exists e1 x1 x2 x3.(n_cafe(x3) & n_woman(x1) & at(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_have(e1) & n_coffee(x2))
|
4976203e-e4c8-11ec-9cdd-0242ac1c0002
|
||
A woman is walking across the street eating a banana, while a man is following with his briefcase.
|
The woman is eating a banana.
| 0
| -100
|
The woman is eating the banana while she walks across the street.
|
(-x)
|
(-x)
|
4976248a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A woman is walking across the street eating a banana, while a man is following with his briefcase.
|
the woman is outside
| 0
| 1
|
You have to be outside to be walking across the street.
|
exists e1 e2 p1 x1 x2 x3 x5.(n_briefcase(x5) & of(x5,x2) & n_male(x2) & n_street(x2) & for(e1,e2) & exists e3 x4.(with(e3,x5) & Actor(e3,x4) & v_follow(e3) & n_man(x4)) & while(e2,p1) & Theme(e2,x3) & Actor(e2,x1) & v_eat(e2) & n_banana(x3) & across(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_woman(x1))
|
exists s1 x1.(n_woman(x1) & Theme(s1,x1) & a_outside(s1))
|
497628ea-e4c8-11ec-9cdd-0242ac1c0002
|
||
A skier slides along a metal rail.
|
A skier is near the rail looking down.
| 1
| -100
|
Sentence 1: A skier slides along a metal rail. Sentence 2: A skier is near the rail looking down.
|
(-x)
|
(-x)
|
49762d5e-e4c8-11ec-9cdd-0242ac1c0002
|
||
A skier slides along a metal rail.
|
A skier is near the rail.
| 0
| -100
|
The skier would have to be near the rail to slide along the metal rail.
|
(-x)
|
(-x)
|
497631d2-e4c8-11ec-9cdd-0242ac1c0002
|
||
A skier slides along a metal rail.
|
A skier is away from the rail.
| 2
| -100
|
A slider can slide along or away from the rail.
|
(-x)
|
(-x)
|
49763628-e4c8-11ec-9cdd-0242ac1c0002
|
||
A person on skis on a rail at night.
|
The woman eats a car
| 2
| -100
|
A person can be man or woman.
|
(-x)
|
(-x)
|
49763ab0-e4c8-11ec-9cdd-0242ac1c0002
|
||
A person on skis on a rail at night.
|
The person skiis
| 0
| -100
|
If the person skiis, then a person is on skis.
|
(-x)
|
(-x)
|
49763fba-e4c8-11ec-9cdd-0242ac1c0002
|
||
A person on skis on a rail at night.
|
They are fantastic skiiers
| 1
| -100
|
Sentence 1: A person on skis on a rail at night. Sentence 2: They are fantastic skiiers
|
(-x)
|
(-x)
|
4976442e-e4c8-11ec-9cdd-0242ac1c0002
|
||
A skier in electric green on the edge of a ramp made of metal bars.
|
The skier was on the edge of the ramp.
| 1
| -100
|
Sentence 1: A skier in electric green on the edge of a ramp made of metal bars. Sentence 2: The skier was on the edge of the ramp.
|
(-x)
|
(-x)
|
49764884-e4c8-11ec-9cdd-0242ac1c0002
|
||
A skier in electric green on the edge of a ramp made of metal bars.
|
The brightly dressed skier slid down the race course.
| 0
| -100
|
If a skier is wearing electric green, then they are brightly dressed. It is logical that a skier slid down down something. A ramp is found at a race course.
|
(-x)
|
(-x)
|
49764cda-e4c8-11ec-9cdd-0242ac1c0002
|
||
A skier in electric green on the edge of a ramp made of metal bars.
|
The jogger ran through the streets.
| 2
| -100
|
A jogger and a skier are two different types of people.
|
(-x)
|
(-x)
|
49765144-e4c8-11ec-9cdd-0242ac1c0002
|
||
A yellow uniformed skier is performing a trick across a railed object.
|
A snowboarder is riding a ski lift.
| 2
| -100
|
A snowboarder and skier are two different types of people. Someone cannot be performing a trick and riding on something simultaneously.
|
(-x)
|
(-x)
|
497656da-e4c8-11ec-9cdd-0242ac1c0002
|
||
A yellow uniformed skier is performing a trick across a railed object.
|
A skier is competing in a competition.
| 1
| -100
|
Sentence 1: A yellow uniformed skier is performing a trick across a railed object. Sentence 2: A skier is competing in a competition.
|
(-x)
|
(-x)
|
49765c7a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A yellow uniformed skier is performing a trick across a railed object.
|
Somebody is engaging in winter sports.
| 0
| -100
|
If a skier is performing a trick, then they are engaging in winter sports.
|
(-x)
|
(-x)
|
4976610c-e4c8-11ec-9cdd-0242ac1c0002
|
||
A blond man is drinking from a public fountain.
|
The man is drinking water.
| 0
| -100
|
Water is what a public fountain contains.
|
(-x)
|
(-x)
|
497666ca-e4c8-11ec-9cdd-0242ac1c0002
|
||
A blond man is drinking from a public fountain.
|
The man is very thirsty.
| 1
| -100
|
Sentence 1: A blond man is drinking from a public fountain. Sentence 2: The man is very thirsty.
|
(-x)
|
(-x)
|
49766b66-e4c8-11ec-9cdd-0242ac1c0002
|
||
A blond man is drinking from a public fountain.
|
The man is drinking coffee.
| 2
| -100
|
A public fountain contains water, which is different than coffee.
|
(-x)
|
(-x)
|
49766fd0-e4c8-11ec-9cdd-0242ac1c0002
|
||
Wet brown dog swims towards camera.
|
The dog is sleeping in his bed.
| 2
| -100
|
A dog cannot be sleeping while he swims.
|
(-x)
|
(-x)
|
49767a70-e4c8-11ec-9cdd-0242ac1c0002
|
||
Wet brown dog swims towards camera.
|
A dog is playing fetch in a pond.
| 1
| -100
|
Sentence 1: Wet brown dog swims towards camera. Sentence 2: A dog is playing fetch in a pond.
|
(-x)
|
(-x)
|
4976843e-e4c8-11ec-9cdd-0242ac1c0002
|
||
Wet brown dog swims towards camera.
|
A dog is in the water.
| 0
| -100
|
If a dog swims, then he is in the water.
|
(-x)
|
(-x)
|
49768f06-e4c8-11ec-9cdd-0242ac1c0002
|
||
Closeup image of a dog swimming.
|
A cat reluctantly takes a bath.
| 2
| -100
|
A dog and a cat are two different animals. An animal cannot be swimming while it takes a bath.
|
(-x)
|
(-x)
|
49769992-e4c8-11ec-9cdd-0242ac1c0002
|
||
Closeup image of a dog swimming.
|
An underwater camera takes a photo of a puppy.
| 1
| -100
|
Sentence 1: Closeup image of a dog swimming. Sentence 2: An underwater camera takes a photo of a puppy.
|
(-x)
|
(-x)
|
4976a2a2-e4c8-11ec-9cdd-0242ac1c0002
|
||
Closeup image of a dog swimming.
|
A dog swims in a body of water.
| 0
| -100
|
If a dog swims, then he is swimming.
|
(-x)
|
(-x)
|
4976acc0-e4c8-11ec-9cdd-0242ac1c0002
|
||
The furry brown dog is swimming in the ocean.
|
A dog is chasing a fish.
| 1
| -100
|
Sentence 1: The furry brown dog is swimming in the ocean. Sentence 2: A dog is chasing a fish.
|
(-x)
|
(-x)
|
4976b832-e4c8-11ec-9cdd-0242ac1c0002
|
||
The furry brown dog is swimming in the ocean.
|
A dog is swimming.
| 0
| -100
|
"Swimming" is a less detailed restatement of "swimming in the ocean."
|
(-x)
|
(-x)
|
4976c3cc-e4c8-11ec-9cdd-0242ac1c0002
|
||
The furry brown dog is swimming in the ocean.
|
A dog is running around the yard.
| 2
| -100
|
A dog cannot be swimming and running simultaneously.
|
(-x)
|
(-x)
|
4976ccaa-e4c8-11ec-9cdd-0242ac1c0002
|
||
A big brown dog swims towards the camera.
|
A dog is chasing a stick.
| 2
| -100
|
A dog cannot be chasing something as he swims.
|
(-x)
|
(-x)
|
4976d790-e4c8-11ec-9cdd-0242ac1c0002
|
||
A big brown dog swims towards the camera.
|
A photographer is taking pictures of a dog.
| 1
| -100
|
Sentence 1: A big brown dog swims towards the camera. Sentence 2: A photographer is taking pictures of a dog.
|
(-x)
|
(-x)
|
4976e2c6-e4c8-11ec-9cdd-0242ac1c0002
|
||
A big brown dog swims towards the camera.
|
A dog swims towards the camera.
| 0
| -100
|
"A dog" is a less detailed restatement of a "big brown dog."
|
(-x)
|
(-x)
|
4976ece4-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.
|
The farmer wearing a gray hat is driving a horse-drawn cart.
| 1
| -100
|
Sentence 1: A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart. Sentence 2: The farmer wearing a gray hat is driving a horse-drawn cart.
|
(-x)
|
(-x)
|
4976f61c-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.
|
The man with the gray hat and pitchfork is directing the cart.
| 0
| -100
|
If a man is wearing a gray hat, then he is with the gray hat. If a man is holding a pitchfork, then he is with a pitchfork. "Directing the cart" is a less detailed restatement of "directs a horse-drawn cart."
|
(-x)
|
(-x)
|
49770030-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.
|
The woman in a blue dress is hitching a horse to a cart.
| 2
| -100
|
A man and a woman are two separate genders. A person cannot be hitching something while he directs. A horse-drawn cart already has a horse attached, so you cannot attach a horse to a cart simultaneously.
|
(-x)
|
(-x)
|
4977080a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man is leading a Clydesdale up a hay road, within a Old Country.
|
A man is walking with his horse up a country road.
| 0
| -100
|
A Clydesdale is a horse. A hay road within an Old Country would be a country road.
|
(-x)
|
(-x)
|
49770d3c-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man is leading a Clydesdale up a hay road, within a Old Country.
|
A woman in a gray business suit is drinking tea.
| 2
| -100
|
A man and a woman are two different genders. One cannot be leading a Clydesdale while drinking tea simultaneously.
|
(-x)
|
(-x)
|
4977146c-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man is leading a Clydesdale up a hay road, within a Old Country.
|
A man in a straw hat and overalls is walking with his horse up a country road.
| 1
| -100
|
A man in a straw hat and overalls doesn't necessary to walking with his horse up a country road
|
(-x)
|
(-x)
|
49772056-e4c8-11ec-9cdd-0242ac1c0002
|
||
A farmer fertilizing his garden with manure with a horse and wagon.
|
The man is fertilizering his garden.
| 0
| -100
|
A man can be a farmer
|
(-x)
|
(-x)
|
49772b0a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A farmer fertilizing his garden with manure with a horse and wagon.
|
The man is on the city street with his horse and wagon.
| 2
| -100
|
The wagon is either in a garden or on a city street.
|
(-x)
|
(-x)
|
4977319a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A farmer fertilizing his garden with manure with a horse and wagon.
|
The man is in an open field with a horse and wagon.
| 1
| -100
|
A farmer in his garden is not the same as being in a field.
|
(-x)
|
(-x)
|
497737b2-e4c8-11ec-9cdd-0242ac1c0002
|
||
A white horse is pulling a cart while a man stands and watches.
|
A horse is hauling goods.
| 1
| -100
|
The cart does not necessarily have to be filled with goods, as it could be empty.
|
(-x)
|
(-x)
|
49773cf8-e4c8-11ec-9cdd-0242ac1c0002
|
||
A white horse is pulling a cart while a man stands and watches.
|
An animal is walking outside.
| 0
| -100
|
A horse is an animal, a horse must be walking when pulling a cart.
|
(-x)
|
(-x)
|
49774252-e4c8-11ec-9cdd-0242ac1c0002
|
||
A white horse is pulling a cart while a man stands and watches.
|
A man is watching a horse race.
| 2
| -100
|
a horse race is a different activity from a horse pulling a cart.
|
(-x)
|
(-x)
|
49774bd0-e4c8-11ec-9cdd-0242ac1c0002
|
||
A small group of church-goers watch a choir practice.
|
A group watches a practice.
| 0
| -100
|
church-goers is a group so the sentences are the same.
|
(-x)
|
(-x)
|
4977562a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A small group of church-goers watch a choir practice.
|
A choir performs in front of packed crowd.
| -1
| -100
|
(x)
|
(x)
|
49775cb0-e4c8-11ec-9cdd-0242ac1c0002
|
|||
A small group of church-goers watch a choir practice.
|
The pastor and elders watch the choir to make sure they are good.
| 1
| -100
|
The pastor and elders watch the choir they doesn't need to make it sure they are good
|
(-x)
|
(-x)
|
4977616a-e4c8-11ec-9cdd-0242ac1c0002
|
||
A dog drops a red disc on a beach.
|
a dog catch the ball on a beach
| 2
| -100
|
If a dog drops something, he cannot catch it at the same time. A disc and a ball are two different objects.
|
(-x)
|
(-x)
|
497765de-e4c8-11ec-9cdd-0242ac1c0002
|
||
A dog drops a red disc on a beach.
|
a dog drops a disc with a boy
| 1
| -100
|
a dog doesn't need a boy to drops a disc with
|
(-x)
|
(-x)
|
49776bec-e4c8-11ec-9cdd-0242ac1c0002
|
||
A dog drops a red disc on a beach.
|
a dog drops a red disc
| 0
| -100
|
On a beach is a description that can be left out without substantially changing the meaning.
|
(-x)
|
(-x)
|
497774fc-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man and a woman are walking on a street at the top of a hill.
|
A married couple walks atop a hill.
| 1
| -100
|
Anyone could walks a top of hill doesn't necessarily to be couple
|
(-x)
|
(-x)
|
49777e0c-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man and a woman are walking on a street at the top of a hill.
|
A man and woman walk on a street.
| 0
| -100
|
At the top of a hill is a description that does not change the meaning significantly.
|
(-x)
|
(-x)
|
49778686-e4c8-11ec-9cdd-0242ac1c0002
|
||
A man and a woman are walking on a street at the top of a hill.
|
Two men play catch on a hill.
| 2
| -100
|
A man and a woman is not the same as two men. Walking and playing catch is different.
|
(-x)
|
(-x)
|
49778e88-e4c8-11ec-9cdd-0242ac1c0002
|
||
An elderly man is drinking orange juice at a cafe.
|
An elderly man is drinking apple juice at a bar.
| 2
| -100
|
Drinking orange juice at a cafe is not the same as drinking apple juice at a bar. Two different drinks, two different locales.
|
(-x)
|
(-x)
|
49779612-e4c8-11ec-9cdd-0242ac1c0002
|
||
An elderly man is drinking orange juice at a cafe.
|
An older gentleman is enjoying his orange juice at a new cafe.
| 1
| -100
|
An older gentleman could enjoy anything at new cafe it doesn't has to be orange juice
|
(-x)
|
(-x)
|
49779ec8-e4c8-11ec-9cdd-0242ac1c0002
|
||
An elderly man is drinking orange juice at a cafe.
|
An old man is enjoying a beverage at a cafe.
| 0
| -100
|
Elderly is the same as old and orange juice is a beverage.
|
(-x)
|
(-x)
|
4977a738-e4c8-11ec-9cdd-0242ac1c0002
|
||
A couple holding hands walks down a street.
|
Two men hold hands while walking down the street.
| 1
| -100
|
Two men holds hands , walking down the street is unnecessary
|
(-x)
|
(-x)
|
4977b00c-e4c8-11ec-9cdd-0242ac1c0002
|
||
A couple holding hands walks down a street.
|
There are people sitting on the side of the road.
| 2
| -100
|
The couple can either be walking down a street or sitting at side of road, not both simultaneously.
|
(-x)
|
(-x)
|
4977b994-e4c8-11ec-9cdd-0242ac1c0002
|
||
A couple holding hands walks down a street.
|
People are holding hands and walking.
| 0
| -100
|
A couple are people.
|
(-x)
|
(-x)
|
4977c7e0-e4c8-11ec-9cdd-0242ac1c0002
|
||
A couple walk through a white brick town.
|
People are walking outdoors.
| 0
| -100
|
A white brick town is outdoors.
|
(-x)
|
(-x)
|
4977d0d2-e4c8-11ec-9cdd-0242ac1c0002
|
||
A couple walk through a white brick town.
|
A man and woman walk in a brown brick city.
| 2
| -100
|
The town or city can not be described as being built of white brick, then as being built of brown brick. It can be one color or the other, or a mix of bricks.
|
(-x)
|
(-x)
|
4977d618-e4c8-11ec-9cdd-0242ac1c0002
|
||
A couple walk through a white brick town.
|
A man and woman walk through a big city.
| 1
| -100
|
A man and woman walk , a big city is unnecessary
|
(-x)
|
(-x)
|
4977dabe-e4c8-11ec-9cdd-0242ac1c0002
|
||
Children going home from school.
|
The children are at the library.
| 2
| -100
|
If the children are going home and they cannot still be in library.
|
(-x)
|
(-x)
|
4977df46-e4c8-11ec-9cdd-0242ac1c0002
|
||
Children going home from school.
|
The school children head home.
| 0
| -100
|
The children headed home from school are also school children.
|
(-x)
|
(-x)
|
4977e3b0-e4c8-11ec-9cdd-0242ac1c0002
|
||
Children going home from school.
|
The children are walking in the afternooon.
| 1
| -100
|
It cannot be inferred that the children are walking or that it is afternoon.
|
(-x)
|
(-x)
|
4977e874-e4c8-11ec-9cdd-0242ac1c0002
|
||
People listening to a choir in a Catholic church.
|
People are listening to a metal band.
| 2
| -100
|
Music from a church choir is very different from metal band music.
|
(-x)
|
(-x)
|
4977ef0e-e4c8-11ec-9cdd-0242ac1c0002
|
||
People listening to a choir in a Catholic church.
|
Choir singing in mass.
| 0
| -100
|
People listening to a choir, who is singing in mass of a Catholic church.
|
(-x)
|
(-x)
|
4977f454-e4c8-11ec-9cdd-0242ac1c0002
|
||
People listening to a choir in a Catholic church.
|
People are in mass for a first communion
| 1
| -100
|
People are in mass they doesn't need to be in communion
|
(-x)
|
(-x)
|
4977f936-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
A bicyclist is sitting down having lunch at the mall.
| 2
| 0.000003
|
THE BICYCLIST IS EITHER SITTING DOWN HAVING LUNCH OR WAITING AT AN INTERSECTION.
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists e1 e2 s1 x1 x2 x3.(n_mall(x3) & for(e1,e2) & at(e2,x3) & Theme(e2,x2) & Actor(e2,x1) & v_have(e2) & n_lunch(x2) & a_down(s1) & Manner(e1,s1) & Actor(e1,x1) & v_sit(e1) & n_bicyclist(x1))
|
4977fe5e-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicyclists are outside.
| 0
| -100
|
An intersection is outside.
|
(-x)
|
(-x)
|
497802dc-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
Bicyclists waiting for a car to pass.
| 1
| 0.5099
|
You can not infer they are waiting for a car.
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists e1 p1 x1 x2 x3.(a_topic(x1) & for(e1,x3) & Topic(x3,p1) & exists e2.(Actor(e2,x3) & v_pass(e2)) & n_car(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
4978075a-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
A person on a bike is waiting while the light is green.
| 1
| 0.001633
|
A person is waiting while the light is green they doesn't need to be on bike
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists e1 p1 x1 x2 x3.(n_light(x3) & exists s1.(Theme(s1,x3) & a_green(s1)) & while(e1,p1) & Actor(e1,x1) & v_wait(e1) & on(x1,x2) & n_bike(x2) & n_person(x1))
|
49780be2-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicycles are on a road.
| 0
| 0.995864
|
An intersection is on a road.
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists p1 x1.(n_bicycle(x1) & exists x2.(on(x1,x2) & n_road(x2)))
|
497810a6-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
A person on a bike is near a street.
| 0
| -100
|
An intersection is part of a street.
|
(-x)
|
(-x)
|
49781722-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
Bikers stop and wait for traffic at the intersection.
| 0
| -100
|
Waiting implies that they stopped.
|
(-x)
|
(-x)
|
49781bbe-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicyclists ride through the mall on their bikes.
| 2
| -100
|
Cyclists cannot be immobile waiting and in motion riding simultaneously. There are no intersections at a mall.
|
(-x)
|
(-x)
|
49782032-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
Bicyclists waiting their turn to cross.
| 0
| -100
|
People cross at an intersection.
|
(-x)
|
(-x)
|
4978249c-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
Bicyclists riding along a freeway.
| 2
| -100
|
Cyclists cannot be immobile waiting and in motion riding simultaneously. There are no intersections on a freeway.
|
(-x)
|
(-x)
|
497828e8-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicyclists are dead.
| 2
| -100
|
To be described as waiting is to be assumed as being alive to be able to wait. Dead bicyclists do not wait.
|
(-x)
|
(-x)
|
49782d52-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicyclists are riding to the book store.
| 1
| 0.000133
|
The bicyclists are could be riding anywhere it doesn't has to be book store
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists e1 x1 x2 x3.(n_store(x2) & of(x2,x3) & n_book(x3) & n_bicyclist(x1) & to(e1,x2) & Actor(e1,x1) & v_ride(e1))
|
497831f8-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicyclists are in a race.
| 1
| 0.00068
|
No all bicyclists are in a race.
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists p1 x1.(n_bicyclist(x1) & exists x2.(in(x1,x2) & n_race(x2)))
|
497835fe-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
The bicyclists are at home.
| 2
| -100
|
There is no intersection in a home. The cyclist cannot be two places at once.
|
(-x)
|
(-x)
|
49783be4-e4c8-11ec-9cdd-0242ac1c0002
|
||
Bicyclists waiting at an intersection.
|
A group of bicyclists remain on the sidewalk at the intersection.
| 1
| 0.851325
|
Just because a bicyclists is waiting at an intersection doesn't imply that they are on a sidewalk.
|
exists e1 x1 x2 x3.(a_topic(x1) & at(e1,x3) & n_intersection(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_bicyclist(x1))
|
exists e1 x1 x2 x3 x4.(n_intersection(x4) & n_sidewalk(x3) & on(e1,x3) & at(x3,x4) & Actor(e1,x1) & v_remain(e1) & of(x1,x2) & n_bicyclist(x2) & n_group(x1))
|
4978406c-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
A bunch of friends are on a boat
| 2
| 0.000016
|
There are no stoplights on a boat.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists p1 x1 x2.(exists x3.(on(x1,x3) & n_boat(x3)) & of(x1,x2) & n_friend(x2) & n_bunch(x1))
|
497844c2-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
People with bikes.
| 0
| -100
|
With bikes is a restatement of on bikes.
|
(-x)
|
(-x)
|
4978490e-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
There are people on bikes at a light
| 1
| 0.897411
|
Not all people are waiting on bikes at a light .
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists p1 x1 x2 x3 x4.((x1 = x2) & on(x2,x3) & at(x3,x4) & n_light(x4) & n_bike(x3) & n_people(x2))
|
49784d78-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
The people are inside waiting.
| 2
| -100
|
People are not bikes.
|
(-x)
|
(-x)
|
497851ce-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
There are some people outside.
| 0
| -100
|
A light is outside.
|
(-x)
|
(-x)
|
4978561a-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
People are on their bikes.
| 0
| -100
|
On their bikes is a restatement of on bikes.
|
(-x)
|
(-x)
|
49785a52-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
The people are riding their bikes to the gym.
| 1
| 0.003866
|
Not all people waiting at lights are riding their bikes to get to the gym.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists e1 x1 x2 x3.(n_gym(x3) & n_bike(x2) & of(x2,x1) & n_thing(x1) & n_people(x1) & to(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_ride(e1))
|
49785f02-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
People biking through the city.
| 1
| 0.705015
|
Not a lights are only in the city.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists e1 x1 x2 x3.(n_city(x3) & a_topic(x1) & through(e1,x3) & Actor(e1,x2) & v_bike(e1) & (x1 = x2) & n_people(x1))
|
49786416-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
The people are on bikes.
| 0
| 0.996675
|
Are on bikes is a restatement of on bikes.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists p1 x1.(n_people(x1) & exists x2.(on(x1,x2) & n_bike(x2)))
|
4978688a-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
There is traffic next to the bikes.
| 1
| 0.683288
|
No all bikes waiting at lights have traffic next to them.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists p1 x1 x4.(n_bike(x4) & exists x2 x3.((x1 = x2) & to(x3,x4) & next(x2,x3) & n_thing(x3) & n_traffic(x2)))
|
49786cf4-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
The people are running a red light.
| 2
| -100
|
Waiting implies that one is in an area. Running implies leaving an area.
|
(-x)
|
(-x)
|
4978715e-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
People in a car race.
| 2
| -100
|
Bikes cannot be included in a car race.
|
(-x)
|
(-x)
|
497875a0-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
Men and women outside on a street corner.
| 0
| -100
|
Men and women are people.
|
(-x)
|
(-x)
|
497879ec-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
A ladybug has landed on a beautiful pink rose.
| 2
| -100
|
A ladybug cannot ride a bike.
|
(-x)
|
(-x)
|
49787e38-e4c8-11ec-9cdd-0242ac1c0002
|
||
People waiting at a light on bikes.
|
Men and women on their motorcycles, wearing helmets and protective jackets.
| 1
| 0.110858
|
Not all bikes are considered motorcycles. Not all people using bikes wear helmets and protective jackets.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & at(e1,x3) & on(x3,x4) & n_bike(x4) & n_light(x3) & Actor(e1,x2) & v_wait(e1) & (x1 = x2) & n_people(x1))
|
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7.(a_topic(s1) & subset_of(x2,s1) & on(x2,x3) & n_jacket(x7) & a_protective(s2) & Theme(s2,x7) & n_helmet(x6) & subset_of(x7,x5) & subset_of(x6,x5) & Actor(e1,x5) & v_wear(e1) & n_motorcycle(x4) & subset_of(x5,x3) & subset_of(x4,x3) & of(x3,x1) & n_thing(x1) & n_woman(x2) & subset_of(x1,s1) & n_man(x1))
|
4978828e-e4c8-11ec-9cdd-0242ac1c0002
|
||
People on bicycles waiting at an intersection.
|
The people are on skateboards.
| 2
| 0
|
The people are either on skateboards or bicycles.
|
exists e1 x1 x2 x3 x4.(a_topic(x1) & on(x1,x2) & at(e1,x4) & n_intersection(x4) & Actor(e1,x3) & v_wait(e1) & (x2 = x3) & n_bicycle(x2) & n_people(x1))
|
exists p1 x1.(n_people(x1) & exists x2.(on(x1,x2) & n_skateboard(x2)))
|
4978873e-e4c8-11ec-9cdd-0242ac1c0002
|
||
People on bicycles waiting at an intersection.
|
People are riding their bicycles.
| 0
| -100
|
PEOPLE ARE WAITING AT AN INTERSECTION,WHILE RIDING THEIR BICYCLES.
|
(-x)
|
(-x)
|
49788e78-e4c8-11ec-9cdd-0242ac1c0002
|
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