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
prediction
sequence
A foreign family is walking along a dirt path next to the water.
A family of foreigners walks by the water.
0
-100
The family is walking the dirt path next to the water.
(-x)
(-x)
497a92cc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9705707430839539, 0.028569934889674187, 0.0008593692327849567 ]
A foreign family is walking along a dirt path next to the water.
A family walks along a dirt path.
0
-100
If someone walks they are walking
(-x)
(-x)
497a9740-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9835092425346375, 0.01563858799636364, 0.0008521368727087975 ]
A foreign family is walking along a dirt path next to the water.
A family plays board games at their dinner table.
2
-100
They cannot be walking along a dirt path while at their dinner table, nor can it plays board games while walking.
(-x)
(-x)
497a9bb4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001022467331495136, 0.0003724372654687613, 0.9995253086090088 ]
A foreign family is walking along a dirt path next to the water.
There is a family taking a walk outside.
0
0.945579
The family is walking outside next to the water.
exists e1 s1 x1 x2 x3 x4 x5.(n_water(x5) & along(e1,x2) & to(x4,x5) & next(x2,x4) & n_thing(x4) & n_path(x2) & of(x2,x3) & n_dirt(x3) & Actor(e1,x1) & v_walk(e1) & n_family(x1) & a_foreign(s1) & Theme(s1,x1))
exists p1 x1 e1 s1 x2 x3 x4.((x1 = x2) & a_outside(s1) & Manner(e1,s1) & Theme(e1,x4) & Actor(e1,x3) & v_take(e1) & n_walk(x4) & (x2 = x3) & n_family(x2))
497aa028-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9716833233833313, 0.027785049751400948, 0.0005317179020494223 ]
A foreign family is walking along a dirt path next to the water.
A family walks along a dirt path in a forest by a pond.
1
0.566027
Sentence 1 does not indicate that the path is in a forest or that the water is a pond.
exists e1 s1 x1 x2 x3 x4 x5.(n_water(x5) & along(e1,x2) & to(x4,x5) & next(x2,x4) & n_thing(x4) & n_path(x2) & of(x2,x3) & n_dirt(x3) & Actor(e1,x1) & v_walk(e1) & n_family(x1) & a_foreign(s1) & Theme(s1,x1))
exists e1 x1 x2 x3 x4 x5.(along(e1,x2) & by(x2,x5) & n_pond(x5) & in(x2,x4) & n_forest(x4) & n_path(x2) & of(x2,x3) & n_dirt(x3) & Actor(e1,x1) & v_walk(e1) & n_family(x1))
497aa49c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010878445580601692, 0.9859150648117065, 0.00320649822242558 ]
A foreign family is walking along a dirt path next to the water.
A family of foreigners walks by the lake.
1
0.799228
no all water is a lake
exists e1 s1 x1 x2 x3 x4 x5.(n_water(x5) & along(e1,x2) & to(x4,x5) & next(x2,x4) & n_thing(x4) & n_path(x2) & of(x2,x3) & n_dirt(x3) & Actor(e1,x1) & v_walk(e1) & n_family(x1) & a_foreign(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(n_lake(x3) & by(e1,x3) & Actor(e1,x1) & v_walk(e1) & of(x1,x2) & n_foreigner(x2) & n_family(x1))
497aaa50-e4c8-11ec-9cdd-0242ac1c0002
[ 0.09007228910923004, 0.9052854776382446, 0.004642223007977009 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
People are looking at sculptures at a museum.
0
0.581911
A man and woman look at sculptures at the museum.
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
exists e1 x1 x2 x3.(at(e1,x2) & at(x2,x3) & n_museum(x3) & n_sculpture(x2) & Actor(e1,x1) & v_look(e1) & n_people(x1))
497ab04a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.07181572169065475, 0.9266466498374939, 0.00153764255810529 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
There are people next to sculptures.
0
-100
People like to stand next to sculptures.
(-x)
(-x)
497ab50e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9937596917152405, 0.005820290185511112, 0.00041990922181867063 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
A man and a woman are happily standing.
1
0.379069
A man and a woman are standing next to sculptures, talking are not necessarily happily standing.
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
exists e1 s1 x1 x2 x3.(a_happily(s1) & Manner(e1,s1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1) & n_man(x2))
497ab9d2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0314713791012764, 0.965112566947937, 0.0034160700161010027 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
People standing near sculptures
0
-100
People like to stand near sculptures.
(-x)
(-x)
497abe78-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9756861329078674, 0.023612702265381813, 0.0007010784465819597 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
Three people are looking at painting at a school fair.
2
-100
Sculptures are not the same thing as a painting and sculptures are usually not found at a school fair.
(-x)
(-x)
497ac328-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007224039873108268, 0.017800813540816307, 0.9814768433570862 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
Nobody is standing.
2
-100
If it says they are all standing, then it cannot be true that nobody is standing.
(-x)
(-x)
497ac7d8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00032383037614636123, 0.0010056400205940008, 0.9986705780029297 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
The sculptures are a recent creation.
1
0.522231
DOn;t assume the sculptures were recent
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
exists p1 x1.(n_sculpture(x1) & exists s1 x2.((x1 = x2) & n_creation(x2) & a_recent(s1) & Theme(s1,x2)))
497acc92-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005166913848370314, 0.9831199049949646, 0.011713267304003239 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
A man and a woman are standing.
0
-100
People like to stand next to sculptures.
(-x)
(-x)
497ad296-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9890608787536621, 0.010288769379258156, 0.0006503161275759339 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
Tall people standing
1
0.05057
Just because man and a woman are standing next to sculptures, talking while another man looks at other sculptures doesn't mean they are tall.
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
exists e1 x1 x2 x3.(a_topic(x1) & Actor(e1,x3) & v_stand(e1) & (x1 = x3) & n_people(x1) & (x1 = x2) & ne_nam_tall(x2))
497ad778-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0012041269801557064, 0.9979988932609558, 0.0007969129364937544 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
The is a single sculpture.
2
0.000002
other sculptures implies there are more than 1 sculpture
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
(-x)
497adbf6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004508900921791792, 0.01032166089862585, 0.9851694107055664 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
The man and woman are standing by a swimming pool.
2
-100
You cannot simultaneously look at sculptures and a swimming pool
(-x)
(-x)
497ae056-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006135402363725007, 0.011191117577254772, 0.9881954193115234 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
People are looking at scultures that were made by a famous artist.
1
0.578844
The sculptures may not be by a famous artist.
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
exists e1 e2 s1 x1 x2 x3 x4.(at(e1,x2) & Actor(e2,x4) & n_artist(x4) & a_famous(s1) & Theme(s1,x4) & Theme(e2,x3) & v_make(e2) & (x2 = x3) & n_sculture(x2) & Actor(e1,x1) & v_look(e1) & n_people(x1))
497ae4d4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0016752327792346478, 0.9962292313575745, 0.0020954653155058622 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
There are sculptures of people.
1
0.249833
Not all sculptures are sculptures of people.
exists e1 e2 p1 x1 x2 x3 x4.(for(e1,e2) & exists e3 x5 x6.(at(e3,x6) & -(x6 = x4) & n_sculpture(x6) & Actor(e3,x5) & v_look(e3) & n_man(x5) & -(x5 = x2)) & n_sculpture(x4) & n_sculpture(x4) & n_man(x2) & n_man(x2) & while(e2,p1) & Actor(e2,x1) & v_talk(e2) & to(e1,x4) & r_next(e1) & Actor(e1,x1) & v_stand(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1))
exists p1 x1 x2 x3.((x1 = x2) & of(x2,x3) & n_people(x3) & n_sculpture(x2))
497ae952-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0288341473788023, 0.9681792259216309, 0.0029866574332118034 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
There are scultupres nearby.
0
-100
There are sculptures next to the people.
(-x)
(-x)
497aedc6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6668809652328491, 0.30481451749801636, 0.02830450050532818 ]
A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.
A man and a woman are sitting.
2
-100
You cannot be standing and sitting at the same time
(-x)
(-x)
497af230-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000290766911348328, 0.001007814658805728, 0.9987014532089233 ]
Group of young women in dresses strolling on the sidewalk.
all the women are well dressed
1
-100
The women in dresses do not imply they are well dressed.
(-x)
(-x)
497af866-e4c8-11ec-9cdd-0242ac1c0002
[ 0.3026377558708191, 0.6899714469909668, 0.007390790153294802 ]
Group of young women in dresses strolling on the sidewalk.
all the young girls won the first prize
2
-100
Group of young women strolling on the sidewalk haven't won the first prize.
(-x)
(-x)
497afd98-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0029340912587940693, 0.6508262753486633, 0.3462396264076233 ]
Group of young women in dresses strolling on the sidewalk.
there are some groups one of them of young females are in dresses strolling for a ramp walk
0
-100
The group of women must be strolling in dresses because they are strolling on a sidewalk.
(-x)
(-x)
497b0220-e4c8-11ec-9cdd-0242ac1c0002
[ 0.38441962003707886, 0.5912259221076965, 0.024354439228773117 ]
A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.
a man is photographing a man skateboarding.
0
-100
skateboard trick shows that skateboarding
(-x)
(-x)
497b068a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9607014656066895, 0.03717488422989845, 0.0021236431784927845 ]
A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.
a man is riding his scooter alone
2
-100
A person cannot do a skateboard trick and be riding a scooter at the same time
(-x)
(-x)
497b0aea-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005667733057634905, 0.0003351981285959482, 0.9996080994606018 ]
A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.
tony hawks manager is photographing tony hawk skateboarding
1
-100
Just because man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him doesn't mean it is tony hawks manager.
(-x)
(-x)
497b1008-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0062763565219938755, 0.9854688048362732, 0.008254900574684143 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man is taking the picture of a skateboarder who is being taken by aliens.
2
-100
A person cnnot do a skateboarding kick flip and be taken by aliens at the same time
(-x)
(-x)
497b14ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008747005485929549, 0.09739375859498978, 0.9017314910888672 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
Photographers capture a male skateboarder performing tricks inside an abandoned building.
2
0.000011
A person cannot be above stairs outdoors and inside a building at the same time
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 e2 s1 s2 x1 x2 x3 x4 x5.(Theme(e2,x2) & Actor(e2,x1) & v_capture(e2) & Theme(e1,x4) & Actor(e1,x3) & v_perform(e1) & inside(x4,x5) & n_building(x5) & a_abandoned(s2) & Theme(s2,x5) & n_trick(x4) & (x2 = x3) & n_skateboarder(x2) & a_male(s1) & Theme(s1,x2) & n_photographer(x1))
497b1968-e4c8-11ec-9cdd-0242ac1c0002
[ 0.05679180845618248, 0.4997105002403259, 0.4434977173805237 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A woman is skateboarding with her boyfriend.
2
-100
It can either be a man or a woman skateboarding, not both
(-x)
(-x)
497b1ecc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004645340668503195, 0.06441869586706161, 0.9351167678833008 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man is taking the picture of a skateboarder who is performing a trick.
0
-100
Man is taking picture of another man doing skateboarding kick flip.
(-x)
(-x)
497b255c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9233191013336182, 0.07456919550895691, 0.00211162562482059 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man photographs a wedding.
2
-100
someone cannot photograph a skateboarding kick and a wedding at the same time
(-x)
(-x)
497b2b38-e4c8-11ec-9cdd-0242ac1c0002
[ 0.001073672203347087, 0.1492052525281906, 0.8497210741043091 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man is taking photos of his son doing tricks on the skateboard.
1
0.344117
Not all man has son.
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 e2 x1 x2 x3 x4 x5 x6.(n_skateboard(x6) & Theme(e2,x2) & Actor(e2,x1) & v_take(e2) & on(e1,x6) & Theme(e1,x5) & Actor(e1,x4) & v_do(e1) & n_trick(x5) & (x2 = x4) & of(x2,x3) & n_son(x3) & of(x3,x1) & n_male(x1) & n_photo(x2) & n_man(x1))
497b3006-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003748543793335557, 0.993443489074707, 0.0028080155607312918 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man photographs Tony Hawk skateboarding.
1
0.00166
Sentence 1 is missing Tony Hawk skateboarding.
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2 x3 x4.(Theme(e1,x2) & Actor(e1,x1) & v_photograph(e1) & n_skateboarding(x2) & (x2 = x4) & ne_per_hawk(x4) & (x2 = x3) & ne_per_tony(x3) & n_man(x1))
497b34c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010641279630362988, 0.9661872982978821, 0.023171458393335342 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man is taking photos of skateboarding tricks.
0
-100
There are many photographers who lare taking photos of skateboarding tricks.
(-x)
(-x)
497b3966-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8428736925125122, 0.15186245739459991, 0.005263837520033121 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
People take photos outdoors while a man performs exciting skateboarding tricks.
0
-100
People take photos of skateboarding tricks outdoors.
(-x)
(-x)
497b3e16-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7970255613327026, 0.2003318965435028, 0.0026426250115036964 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man is photographing another man.
0
0.981481
The photo shows another man in the photograph taking a photograph of his own.
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_photograph(e1) & n_man(x2) & -(x2 = x1) & n_man(x1) & n_man(x1))
497b42bc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9447150826454163, 0.051033250987529755, 0.004251684062182903 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A pro photographer is taking pictures of a pro skater.
1
0.758375
JUST BECAUSE THE MAN IS SQUATTING WHILE TAKING A PHOTOGRAPH DOES NOT MEAN HE IS A PRO.
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 s1 s2 x1 x2 x3.(Theme(e1,x2) & Actor(e1,x1) & v_take(e1) & of(x2,x3) & n_skater(x3) & a_pro(s2) & Theme(s2,x3) & n_picture(x2) & n_photographer(x1) & a_pro(s1) & Theme(s1,x1))
497b48de-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0039506335742771626, 0.9937708973884583, 0.0022784287575632334 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
Two men are going down a water slide.
2
-100
A person cannot take a photograph and go down a water slide at the same time
(-x)
(-x)
497b4dd4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007183116395026445, 0.001402530469931662, 0.9985256791114807 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man photographs a skateboarder doing tricks.
0
-100
A man squatting while taking a photograph of a man doing a skateboarding kick photographs a skateboarder doing tricks.
(-x)
(-x)
497b527a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.940626323223114, 0.05768495798110962, 0.001688753836788237 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A man tries to get the perfect picture of a skateboarder for a magazine.
1
0.590243
Taking a photograph does not imply it is to get the perfect picture or that it is for a magazine.
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 p1 s1 x1 x2.(n_picture(x2) & a_perfect(s1) & Theme(s1,x2) & Topic(e1,p1) & Actor(e1,x1) & v_try(e1) & exists e2 x3 x4.(Theme(e2,x2) & Actor(e2,x1) & v_get(e2) & of(x2,x3) & for(x3,x4) & n_magazine(x4) & n_skateboarder(x3)) & n_man(x1))
497bc516-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0025210680905729532, 0.996346652507782, 0.001132322708144784 ]
A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.
A male skateboarder performs tricks outdoors for professional photographers.
1
0.768604
Not all photographers are professional.
exists e4 e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14.(n_own(x6) & of(x6,x3) & n_male(x3) & n_foreground(x3) & a_topic(x1) & while(e1,e4) & Theme(e4,x5) & Actor(e4,x2) & v_take(e4) & of(x5,x6) & of(x6,x7) & above(e3,x12) & of(x12,x13) & n_outdoors(x13) & of(x13,x14) & n_stair(x14) & n_flight(x12) & a_short(s1) & Theme(s1,x12) & Theme(e3,x9) & Actor(e3,x8) & v_do(e3) & in(x9,x11) & n_midair(x11) & n_flip(x9) & of(x9,x10) & n_kick(x10) & Actor(e2,x9) & v_skateboard(e2) & (x7 = x8) & n_man(x7) & n_photograph(x5) & in(e1,x3) & of(x3,x4) & n_photograph(x4) & Actor(e1,x2) & v_squat(e1) & (x1 = x2) & n_man(x1))
exists e1 s1 s2 x1 x2 x3 x4.(Theme(e1,x2) & Actor(e1,x1) & v_perform(e1) & for(x2,x4) & n_photographer(x4) & a_professional(s2) & Theme(s2,x4) & n_outdoors(x2) & of(x2,x3) & n_trick(x3) & n_skateboarder(x1) & a_male(s1) & Theme(s1,x1))
497bd97a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0362851582467556, 0.9607593417167664, 0.0029555235523730516 ]
One biker is running with their bike while another is riding around them.
The people are driving cars
2
-100
A person cannot be running with a bike and driving cars at the same time
(-x)
(-x)
497be5c8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00014070229372009635, 0.001231906469911337, 0.9986274242401123 ]
One biker is running with their bike while another is riding around them.
The people are part of a club
1
-100
Not all bikers are part of a club.
(-x)
(-x)
497bf054-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0022270064800977707, 0.9955226182937622, 0.0022503724321722984 ]
One biker is running with their bike while another is riding around them.
People have bikes
0
-100
A biker rides bikes. Bikers are people. People have bikes.
(-x)
(-x)
497bfaae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9605607986450195, 0.037922054529190063, 0.001517077791504562 ]
Two people with bicycles, one in front running with a bike and one in back riding.
Two people eating ice cream cones at the mall.
2
-100
It's unlikely that one would be eating ice cream while also running with a bike or riding one, especially while in a mall.
(-x)
(-x)
497c0508-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004401476326165721, 0.0005428857984952629, 0.9994131326675415 ]
Two people with bicycles, one in front running with a bike and one in back riding.
Two people taking their bikes to the trail.
1
-100
Running and riding bikes does not imply it is to the trail.
(-x)
(-x)
497c130e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.018064601346850395, 0.966581404209137, 0.015354009345173836 ]
Two people with bicycles, one in front running with a bike and one in back riding.
One person running next to their bike with the person riding their bike behind them.
0
-100
People running with a bike and one riding a bike in back are a person running next to their bike with the person riding their bike behind them.
(-x)
(-x)
497c26fa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8966683745384216, 0.09151777625083923, 0.011813782155513763 ]
A young man doing a trick on a skateboard down the stairs while being photographed.
A young man roller blades across a ramp while being photographed.
2
-100
One cannot skateboard and roller blade at the same time. One cannot go down a ramp and the stairs at the same time.
(-x)
(-x)
497c3730-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00012111947580706328, 0.0012084360932931304, 0.9986704587936401 ]
A young man doing a trick on a skateboard down the stairs while being photographed.
A helmet-less young man does a trick on a skateboard while being photographed.
1
-100
Not all men are helmet-less.
(-x)
(-x)
497c4c3e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0013794038677588105, 0.9968265295028687, 0.0017940555699169636 ]
A young man doing a trick on a skateboard down the stairs while being photographed.
A man being photographed while he does a trick on his skateboard down the stairs.
0
-100
A man doing tricks while being photographed is a man being photographed while he does a trick on his skateboard down the stairs.
(-x)
(-x)
497c56ac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9683351516723633, 0.030054761096835136, 0.0016101336805149913 ]
A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.
A lady is about to propose to her boyfriend.
1
-100
Looking seriously does not imply being about to propose.
(-x)
(-x)
497c60de-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0003937779110856354, 0.9978851675987244, 0.0017210530349984765 ]
A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.
A lady with a serious face is standing with two guys in front of steps outside.
0
-100
A woman looking seriously has a serious face.
(-x)
(-x)
497c6f52-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9056018590927124, 0.09309373050928116, 0.00130438432097435 ]
A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.
Three guys are standing indoors with flowers in their hands.
2
-100
Either the lady is holding the flowers or the three guys are.
(-x)
(-x)
497c7876-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004437604919075966, 0.008280818350613117, 0.9872816205024719 ]
A man walking proudly down the street.
The man is in the theatre watching Avatar.
2
-100
One cannot be walking down the street while also in a theatre watching Avatar.
(-x)
(-x)
497c82d0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004718586933449842, 0.0004740700242109597, 0.9994787573814392 ]
A man walking proudly down the street.
The man is part of the gay pride parade.
1
-100
Walking proudly does not imply being part of the gay pride parade.
(-x)
(-x)
497c8bb8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006146910600364208, 0.9969646334648132, 0.0024206629022955894 ]
A man walking proudly down the street.
A man is outside.
0
-100
A street is outside.
(-x)
(-x)
497c96ee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9847835898399353, 0.0147237004712224, 0.0004927233676426113 ]
Four teenage boys are doing cannonballs into a swimming pool.
Four friends are having a competition to see who throws the most water out of a pool.
1
-100
Four teenage boys are not necessarily friends and it is not implied that they are competing to see who throws the most water out of a pool.
(-x)
(-x)
497ca5e4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006854481063783169, 0.9920129179954529, 0.0011326057137921453 ]
Four teenage boys are doing cannonballs into a swimming pool.
A group of young men are splashing a lot of water.
0
-100
Teenage boys are young men. Cannonballs are splashing a lot of water.
(-x)
(-x)
497cb55c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.821853518486023, 0.17569410800933838, 0.0024523858446627855 ]
Four teenage boys are doing cannonballs into a swimming pool.
Some boys are eating pizza in a restaurant.
2
-100
Doing cannonballs and eating pizza are different actions. A swimming pool and a restaurant are different locations.
(-x)
(-x)
497cbd72-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007767514762235805, 0.0003787922323681414, 0.9995434880256653 ]
Three men standing on grass by the water looking at something on a table.
The three men are by the lake.
1
-100
Standing on grass by water does not imply being by a lake.
(-x)
(-x)
497cc2fe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.039510078728199005, 0.9284985065460205, 0.03199142962694168 ]
Three men standing on grass by the water looking at something on a table.
The three men are outside.
0
-100
Grass by the water is outside.
(-x)
(-x)
497cc7d6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9772019982337952, 0.02201484516263008, 0.000783169933129102 ]
Three men standing on grass by the water looking at something on a table.
The three men are indoors playing Foosball.
2
-100
It's unlikely that the men are standing on grass by the water while being indoors at the same time.
(-x)
(-x)
497cccf4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000049043152102967724, 0.0006129459361545742, 0.9993379712104797 ]
A woman stands behind an outdoor grill with a blue basket of food in her hands.
A woman holding a blue basket full of food at a family cookout.
1
-100
Not all baskets are full of food and a family cookout is not implied.
(-x)
(-x)
497cd3e8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01609075628221035, 0.9831923842430115, 0.0007168439333327115 ]
A woman stands behind an outdoor grill with a blue basket of food in her hands.
A woman standing behind a grill outside with a blue basket of food in her hands.
0
-100
A woman who stands behind a grill outside with a blue basket of food in her hands is a woman standing behind a grill outside with a blue basket of food in her hands.
(-x)
(-x)
497cd8c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9805805683135986, 0.0183911994099617, 0.001028208527714014 ]
A woman stands behind an outdoor grill with a blue basket of food in her hands.
A woman holding a blue basket full of easter eggs outside of a church.
2
-100
Easter eggs, assuming they are are of the plastic variety and are empty, are not food.
(-x)
(-x)
497cdd3e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0003067521611228585, 0.04177812859416008, 0.957915186882019 ]
A Land Rover makes its way through a deep pond.
A car gets stuck in the water.
1
-100
Sentence 1: A Land Rover makes its way through a deep pond. Sentence 2: A car gets stuck in the water.
(-x)
(-x)
497ce19e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.020974956452846527, 0.7761056423187256, 0.2029193490743637 ]
A Land Rover makes its way through a deep pond.
A car is in the shop.
2
-100
Hopefully, there are no deep ponds inside of a shop.
(-x)
(-x)
497ce61c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00018592852575238794, 0.004912924952805042, 0.9949010610580444 ]
A Land Rover makes its way through a deep pond.
A car drives through the water.
0
-100
A Land Rover is a car. A deep bond is water.
(-x)
(-x)
497cea7c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.957273006439209, 0.04079044982790947, 0.001936498680151999 ]
many people relax in the yard.
A group of people are outside.
0
-100
Many people are a group of people. A yard is outside.
(-x)
(-x)
497ceee6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9842321872711182, 0.01527372095733881, 0.0004940186045132577 ]
many people relax in the yard.
A family enjoys the sunny day in their backyard.
1
-100
Sentence 1: many people relax in the yard. Sentence 2: A family enjoys the sunny day in their backyard.
(-x)
(-x)
497cf3aa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0030736117623746395, 0.9961200952529907, 0.0008063779678195715 ]
many people relax in the yard.
People watch tv in their living room.
2
-100
A yard and a living room are different locations.
(-x)
(-x)
497cf954-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008968359179561958, 0.00041199527913704515, 0.9994982481002808 ]
A car sinking in water.
A car is flooding.
0
-100
The car sinking in water is the same as flooding.
(-x)
(-x)
497cfd8c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.20921477675437927, 0.7812159657478333, 0.009569224901497364 ]
A car sinking in water.
A car has crashed into a large lake.
1
-100
It cannot be inferred that the car crashed or that the water is a large lake.
(-x)
(-x)
497d01b0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.002554601524025202, 0.9919881820678711, 0.005457222927361727 ]
A car sinking in water.
A truck drives down a country road in the sunshine.
2
-100
Car and truck are two different vehicles. when a vehicle is on road it can't be sinking in water.
(-x)
(-x)
497d0692-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00014238958829082549, 0.00036447783350013196, 0.9994931221008301 ]
A man wearing black is playing an electric guitar at a concert.
A man is playing the guitar.
0
-100
Playing the guitar is just rephrasing playing an electric guitar.
(-x)
(-x)
497d0ade-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9856329560279846, 0.01372430007904768, 0.0006426765467040241 ]
A man wearing black is playing an electric guitar at a concert.
A man is singing as he plays guitar.
1
-100
Playing an electric guitar does not imply that one is also singing.
(-x)
(-x)
497d0f2a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.015849793329834938, 0.9814565181732178, 0.0026936898939311504 ]
A man wearing black is playing an electric guitar at a concert.
A man is playing the piano.
2
-100
A guitar is not a piano.
(-x)
(-x)
497d1380-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008698415331309661, 0.0005000301171094179, 0.999413013458252 ]
A man with wild hair rocks a show playing a guitar center stage.
The bald man played the drums.
2
-100
The man cannot have wild hair if he is bald. The man cannot play guitar and drums simultaneously.
(-x)
(-x)
497d17d6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000054115342209115624, 0.00036971530062146485, 0.9995761513710022 ]
A man with wild hair rocks a show playing a guitar center stage.
A guy stands on stage with his guitar.
0
-100
A man is a guy. Someone playing guitar center stage means that person stands on stage. The guitar someone plays is his guitar.
(-x)
(-x)
497d1d26-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8931689262390137, 0.09442562609910965, 0.012405354529619217 ]
A man with wild hair rocks a show playing a guitar center stage.
One crazy looking man plays in a show.
1
-100
Just because a man has wild hair doesn't mean he is crazy looking.
(-x)
(-x)
497d21f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.535440981388092, 0.4597068727016449, 0.004852217622101307 ]
woman and child on trolley car labeled Powell and market and bay and taylor
The woman is carrying her child.
1
-100
Sentence 1: woman and child on trolley car labeled Powell and market and bay and taylor Sentence 2: The woman is carrying her child.
(-x)
(-x)
497d2604-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0667114108800888, 0.9002968668937683, 0.03299166262149811 ]
woman and child on trolley car labeled Powell and market and bay and taylor
The woman is on a trolley.
0
-100
A trolley car is a trolley.
(-x)
(-x)
497d2a14-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9717820286750793, 0.02487901970744133, 0.0033390133175998926 ]
woman and child on trolley car labeled Powell and market and bay and taylor
The woman and child are on a subway train.
2
-100
A trolley car and a subway train are different forms of transportation.
(-x)
(-x)
497d2e1a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005675165448337793, 0.019665734842419624, 0.9746590852737427 ]
Two female medical professionals, one african american& one white, looking over paperwork in a hospital.
Coworkers at at a monthly safety meeting.
1
-100
Sentence 1: Two female medical professionals, one african american& one white, looking over paperwork in a hospital. Sentence 2: Coworkers at at a monthly safety meeting.
(-x)
(-x)
497d3220-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003380995709449053, 0.9647676944732666, 0.031851284205913544 ]
Two female medical professionals, one african american& one white, looking over paperwork in a hospital.
Coworkers left work and are driving to lunch.
2
-100
The workers cannot be looking over paperwork while driving to lunch at the same time.
(-x)
(-x)
497d3630-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001365619245916605, 0.014630704186856747, 0.9852327108383179 ]
Two female medical professionals, one african american& one white, looking over paperwork in a hospital.
There are people at work.
0
-100
Two professionals are people. At work is a restatement of looking over paperwork.
(-x)
(-x)
497d3b9e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.928650438785553, 0.07001190632581711, 0.0013376728165894747 ]
Two ladies are reading through binders.
Two ladies are studying for their final exam.
1
-100
Sentence 1: Two ladies are reading through binders. Sentence 2: Two ladies are studying for their final exam.
(-x)
(-x)
497d40da-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006802404532209039, 0.9960015416145325, 0.003318148199468851 ]
Two ladies are reading through binders.
The girls are watching a movie.
2
-100
The females can't be reading through binders while also watching a movie at the same time.
(-x)
(-x)
497d465c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000054393574828282, 0.0005348594859242439, 0.9994107484817505 ]
Two ladies are reading through binders.
Some women are reading.
0
-100
Two ladies are some women.
(-x)
(-x)
497d4b52-e4c8-11ec-9cdd-0242ac1c0002
[ 0.835420548915863, 0.16341213881969452, 0.0011673095868900418 ]
A man in the distance is walking past a brick wall painted with words and graffiti.
A man walks away from a wall he has defaced.
1
-100
Sentence 1: A man in the distance is walking past a brick wall painted with words and graffiti. Sentence 2: A man walks away from a wall he has defaced.
(-x)
(-x)
497d50f2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004163623321801424, 0.9786918759346008, 0.017144475132226944 ]
A man in the distance is walking past a brick wall painted with words and graffiti.
A man sits and reads the graffiti on a wall.
2
-100
The man cannot be walking as he sits and reads simultaneously.
(-x)
(-x)
497d562e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0005832859897054732, 0.016323108226060867, 0.9830936193466187 ]
A man in the distance is walking past a brick wall painted with words and graffiti.
Grafffiti on a brick wall.
0
-100
On a brick wall is a restatement of a brick wall painted with.
(-x)
(-x)
497d5b1a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6669518351554871, 0.25753316283226013, 0.07551494240760803 ]
A woman and a child holding on to the railing while on trolley.
The people are not holding onto anything.
2
-100
The people are either holding the railing or not holding; they can't do both simultaneously.
(-x)
(-x)
497d5ff2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0002818387292791158, 0.000849803036544472, 0.9988683462142944 ]
A woman and a child holding on to the railing while on trolley.
The people are holding onto the rail.
0
-100
A woman and child are people. Rail is a restatement of railing.
(-x)
(-x)
497d64ca-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9684106111526489, 0.02997465804219246, 0.0016147186979651451 ]
A woman and a child holding on to the railing while on trolley.
The people are on a trolley in san Francisco.
1
-100
Sentence 1: A woman and a child holding on to the railing while on trolley. Sentence 2: The people are on a trolley in san Francisco.
(-x)
(-x)
497d6c68-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0035570617765188217, 0.9938982725143433, 0.002544618211686611 ]
A man in a striped polo shirt is pointing and smiling.
The man is swimming
2
-100
If the man is actively swimming, he is not pointing and smiling.
(-x)
(-x)
497d7230-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008581803413107991, 0.05258897691965103, 0.9465528726577759 ]
A man in a striped polo shirt is pointing and smiling.
The man is outside
1
-100
WE DON'T KNOW THAT THE MAN IS OUTSIDE.
(-x)
(-x)
497d7726-e4c8-11ec-9cdd-0242ac1c0002
[ 0.07429167628288269, 0.9147364497184753, 0.010971917770802975 ]
A man in a striped polo shirt is pointing and smiling.
The man seems happy
0
-100
If the man is smiling he must be happy.
(-x)
(-x)
497d7bf4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7643373608589172, 0.23450642824172974, 0.0011561538558453321 ]
A guy performing a bicycle jump trick for an audience.
a bmx pro is doing a triple backflip
1
-100
Sentence 1: A guy performing a bicycle jump trick for an audience. Sentence 2: a bmx pro is doing a triple backflip
(-x)
(-x)
497d80f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.001152228214778006, 0.9907956719398499, 0.008052123710513115 ]