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
An elderly man selling magazines.
An old lady sell magazines.
2
-100
Lady is opposite of man.
exists e1 s1 x1 x2 x3.(a_topic(x1) & Theme(e1,x3) & Actor(e1,x2) & v_sell(e1) & n_magazine(x3) & (x1 = x2) & n_man(x1) & a_elderly(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(a_topic(x1) & n_magazine(x1) & of(x1,x3) & n_sell(x3) & of(x1,x2) & n_lady(x2) & a_old(s1) & Theme(s1,x1))
7c114b4a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00022310114582069218, 0.0011899641249328852, 0.9985870122909546 ]
An elderly man selling magazines.
An old man sell magazines.
0
-100
Elderly means old, trying to sell magazines.
exists e1 s1 x1 x2 x3.(a_topic(x1) & Theme(e1,x3) & Actor(e1,x2) & v_sell(e1) & n_magazine(x3) & (x1 = x2) & n_man(x1) & a_elderly(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(a_topic(x1) & n_magazine(x1) & of(x1,x3) & n_sell(x3) & of(x1,x2) & n_man(x2) & a_old(s1) & Theme(s1,x1))
7c11509a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9835777282714844, 0.015475193038582802, 0.0009470071527175605 ]
An elderly man selling magazines.
The salesman sell magazines.
0
-100
An elderly man selling means he's a salesman.
exists e1 s1 x1 x2 x3.(a_topic(x1) & Theme(e1,x3) & Actor(e1,x2) & v_sell(e1) & n_magazine(x3) & (x1 = x2) & n_man(x1) & a_elderly(s1) & Theme(s1,x1))
exists x1 x2 x3.(n_magazine(x1) & of(x1,x3) & n_sell(x3) & of(x1,x2) & n_salesman(x2) & a_topic(x1))
7c1155cc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7530166506767273, 0.24335944652557373, 0.0036239109467715025 ]
A man with a large feather in his hat rides a horse.
The man is riding a horse
0
-100
A horse is normally ridden by a man.
exists e1 s1 x1 x2 x3 x4.(Theme(e1,x4) & Actor(e1,x1) & v_ride(e1) & n_horse(x4) & with(x1,x2) & in(x2,x3) & n_hat(x3) & of(x3,x1) & n_male(x1) & n_feather(x2) & a_large(s1) & Theme(s1,x2) & n_man(x1))
exists e1 x1 x2.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_ride(e1) & n_horse(x2))
7c115b12-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9688857793807983, 0.029467346146702766, 0.0016468629473820329 ]
A man with a large feather in his hat rides a horse.
The man is in a horse ring
1
-100
horse doesn't always mean ring
exists e1 s1 x1 x2 x3 x4.(Theme(e1,x4) & Actor(e1,x1) & v_ride(e1) & n_horse(x4) & with(x1,x2) & in(x2,x3) & n_hat(x3) & of(x3,x1) & n_male(x1) & n_feather(x2) & a_large(s1) & Theme(s1,x2) & n_man(x1))
exists p1 x1.(n_man(x1) & exists x2 x3.(in(x1,x2) & n_ring(x2) & of(x2,x3) & n_horse(x3)))
7c115fae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03342943638563156, 0.9579366445541382, 0.0086339320987463 ]
A man with a large feather in his hat rides a horse.
The man is in a kitchen
2
-100
The man rides a horse so can't be in a kitchen.
exists e1 s1 x1 x2 x3 x4.(Theme(e1,x4) & Actor(e1,x1) & v_ride(e1) & n_horse(x4) & with(x1,x2) & in(x2,x3) & n_hat(x3) & of(x3,x1) & n_male(x1) & n_feather(x2) & a_large(s1) & Theme(s1,x2) & n_man(x1))
exists p1 x1.(n_man(x1) & exists x2.(in(x1,x2) & n_kitchen(x2)))
7c1164a4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00009612720168661326, 0.0003656749031506479, 0.9995381832122803 ]
a magazine stand with many multicolored magazines
a magazine stand with many people magazines
2
-100
Multicolored magazines aren't people magazines.
exists s1 x1 x2 x3.(a_topic(x1) & with(x1,x3) & n_magazine(x3) & a_multicolored(s1) & Theme(s1,x3) & n_quantity(x3) & n_stand(x1) & of(x1,x2) & n_magazine(x2))
exists x1 x2 x3 x4.(a_topic(x1) & with(x1,x3) & Time(x3,x4) & n_magazine(x4) & n_people(x3) & n_quantity(x3) & n_stand(x1) & of(x1,x2) & n_magazine(x2))
7c1169ea-e4c8-11ec-9cdd-0242ac1c0002
[ 0.1869315654039383, 0.6579593420028687, 0.15510913729667664 ]
a magazine stand with many multicolored magazines
the stand has many magazines
0
-100
Many multicolored magazines means they are many magazines.
exists s1 x1 x2 x3.(a_topic(x1) & with(x1,x3) & n_magazine(x3) & a_multicolored(s1) & Theme(s1,x3) & n_quantity(x3) & n_stand(x1) & of(x1,x2) & n_magazine(x2))
exists e1 x1 x2.(n_stand(x1) & Theme(e1,x2) & Actor(e1,x1) & v_have(e1) & n_magazine(x2) & n_quantity(x2))
7c116ecc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9464569687843323, 0.051775623112916946, 0.0017674091504886746 ]
a magazine stand with many multicolored magazines
the stand is over full
1
-100
stand doesn't always mean full
exists s1 x1 x2 x3.(a_topic(x1) & with(x1,x3) & n_magazine(x3) & a_multicolored(s1) & Theme(s1,x3) & n_quantity(x3) & n_stand(x1) & of(x1,x2) & n_magazine(x2))
exists s1 s2 x1.(n_stand(x1) & a_full(s2) & Manner(s1,s2) & Theme(s1,x1) & a_over(s1))
7c11748a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.026962071657180786, 0.952478289604187, 0.020559653639793396 ]
An elderly man sells magazines in a stand.
the man was giving directions at the stand
1
-100
sells doesn't always mean giving directions
exists e1 s1 x1 x2 x3.(in(e1,x3) & n_stand(x3) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & a_elderly(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(n_stand(x3) & n_man(x1) & at(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_give(e1) & n_direction(x2))
7c117a34-e4c8-11ec-9cdd-0242ac1c0002
[ 0.013316047377884388, 0.853178083896637, 0.1335059255361557 ]
An elderly man sells magazines in a stand.
the man has magazines
0
-100
An elderly man is a man.
exists e1 s1 x1 x2 x3.(in(e1,x3) & n_stand(x3) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & a_elderly(s1) & Theme(s1,x1))
exists e1 x1 x2.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_have(e1) & n_magazine(x2))
7c117f70-e4c8-11ec-9cdd-0242ac1c0002
[ 0.931450605392456, 0.06637173146009445, 0.0021776175126433372 ]
An elderly man sells magazines in a stand.
the woman sells books at her store
2
-100
The man isn't a woman.
exists e1 s1 x1 x2 x3.(in(e1,x3) & n_stand(x3) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & a_elderly(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(n_store(x3) & of(x3,x1) & n_female(x1) & n_woman(x1) & at(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_book(x2))
7c11848e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00010078528430312872, 0.0004213752690702677, 0.9994778037071228 ]
An old man wearing a blue jean jacket is sitting at the counter of a magazine stand
An old man is wearing a jacket reading magazines.
1
-100
Sitting does not imply reading.
exists e2 e1 s1 s2 x1 x2 x3 x4 x5 x6 x7.(n_counter(x5) & at(e2,x5) & of(x5,x6) & n_stand(x6) & of(x6,x7) & n_magazine(x7) & Actor(e2,x1) & v_sit(e2) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_jacket(x3) & of(x3,x4) & n_jean(x4) & a_blue(s2) & Theme(s2,x3) & (x1 = x2) & n_man(x1) & a_old(s1) & Theme(s1,x1))
exists e1 s1 x1 x2 x3 x4.(Theme(e1,x2) & Actor(e1,x1) & v_wear(e1) & n_magazine(x2) & of(x2,x4) & n_reading(x4) & of(x2,x3) & n_jacket(x3) & n_man(x1) & a_old(s1) & Theme(s1,x1))
7c1189ac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.2520865797996521, 0.7429523468017578, 0.004961046855896711 ]
An old man wearing a blue jean jacket is sitting at the counter of a magazine stand
An old man is planning to sleep.
2
-100
Sitting and planning are not same.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6 x7.(n_counter(x5) & at(e2,x5) & of(x5,x6) & n_stand(x6) & of(x6,x7) & n_magazine(x7) & Actor(e2,x1) & v_sit(e2) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_jacket(x3) & of(x3,x4) & n_jean(x4) & a_blue(s2) & Theme(s2,x3) & (x1 = x2) & n_man(x1) & a_old(s1) & Theme(s1,x1))
exists e1 p1 s1 x1.(Topic(e1,p1) & Actor(e1,x1) & v_plan(e1) & exists e2.(Actor(e2,x1) & v_sleep(e2)) & n_man(x1) & a_old(s1) & Theme(s1,x1))
7c118eb6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0023712432011961937, 0.8498797416687012, 0.14774900674819946 ]
An old man wearing a blue jean jacket is sitting at the counter of a magazine stand
An old man is wearing a jacket and sitting down.
0
-100
Wearing a jacket and sitting down is the same as wearing a blue jean jacket and sitting at a counter.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6 x7.(n_counter(x5) & at(e2,x5) & of(x5,x6) & n_stand(x6) & of(x6,x7) & n_magazine(x7) & Actor(e2,x1) & v_sit(e2) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_jacket(x3) & of(x3,x4) & n_jean(x4) & a_blue(s2) & Theme(s2,x3) & (x1 = x2) & n_man(x1) & a_old(s1) & Theme(s1,x1))
exists e1 e2 s1 s2 s3 x1 x2 x3.(a_down(s3) & Manner(e2,s3) & Actor(e2,x3) & v_sit(e2) & n_man(x3) & a_old(s2) & Theme(s2,x3) & Theme(e1,x2) & Actor(e1,x1) & v_wear(e1) & n_jacket(x2) & n_man(x1) & a_old(s1) & Theme(s1,x1))
7c11967c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9566214680671692, 0.0424240306019783, 0.0009544912027195096 ]
An older man sells magazines at a magazine stand in Asia.
A man sells magazines at a magazine stand in Asia.
0
-100
in a both sentence a man sells magazine.
exists e1 s1 x1 x2 x3 x4 x5.(ne_geo_asia(x5) & at(e1,x3) & in(x3,x5) & n_stand(x3) & of(x3,x4) & n_magazine(x4) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & r_more(s1) & a_older(s1) & Theme(s1,x1))
exists e1 x1 x2 x3 x4 x5.(ne_geo_asia(x5) & at(e1,x3) & in(x3,x5) & n_stand(x3) & of(x3,x4) & n_magazine(x4) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1))
7c119c62-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9838413596153259, 0.0149757144972682, 0.001182897831313312 ]
An older man sells magazines at a magazine stand in Asia.
An older man sells magazines at a magazine stand in China.
1
-100
Not all of Asia is China.
exists e1 s1 x1 x2 x3 x4 x5.(ne_geo_asia(x5) & at(e1,x3) & in(x3,x5) & n_stand(x3) & of(x3,x4) & n_magazine(x4) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & r_more(s1) & a_older(s1) & Theme(s1,x1))
exists e1 s1 x1 x2 x3 x4 x5.(ne_geo_china(x5) & at(e1,x3) & in(x3,x5) & n_stand(x3) & of(x3,x4) & n_magazine(x4) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & r_more(s1) & a_older(s1) & Theme(s1,x1))
7c11a298-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0026161896530538797, 0.9958938360214233, 0.0014899628004059196 ]
An older man sells magazines at a magazine stand in Asia.
An older woman sells magazines at a magazine stand in Asia.
2
-100
The man isn't a woman.
exists e1 s1 x1 x2 x3 x4 x5.(ne_geo_asia(x5) & at(e1,x3) & in(x3,x5) & n_stand(x3) & of(x3,x4) & n_magazine(x4) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_man(x1) & r_more(s1) & a_older(s1) & Theme(s1,x1))
exists e1 s1 x1 x2 x3 x4 x5.(ne_geo_asia(x5) & at(e1,x3) & in(x3,x5) & n_stand(x3) & of(x3,x4) & n_magazine(x4) & Theme(e1,x2) & Actor(e1,x1) & v_sell(e1) & n_magazine(x2) & n_woman(x1) & r_more(s1) & a_older(s1) & Theme(s1,x1))
7c11a7b6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00015691468433942646, 0.0012941426830366254, 0.9985489249229431 ]
Man in black with a feathered hat sits atop a horse.
A man wearing a feathered hat sits at a table as a horse passes by.
2
-100
The man sits atop a horse so can't be sitting at a table.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 e2 p1 s1 x1 x2 x3 x4.(exists e3 s2 x5.(a_by(s2) & Manner(e3,s2) & Actor(e3,x5) & v_pass(e3) & n_horse(x5)) & as(e2,p1) & at(e2,x4) & n_table(x4) & Actor(e2,x1) & v_sit(e2) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & a_feathered(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
7c11ae0a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001046586548909545, 0.001080030226148665, 0.9988152980804443 ]
Man in black with a feathered hat sits atop a horse.
The man is standing next to the horse.
2
-100
The man sits atop a horse, not stands next to the horse.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2.(n_horse(x2) & n_man(x1) & to(e1,x2) & r_next(e1) & Actor(e1,x1) & v_stand(e1))
7c11b616-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00013102467346470803, 0.0005900883697904646, 0.9992788434028625 ]
Man in black with a feathered hat sits atop a horse.
A cowboy rides his horse out to work.
1
0.590673
Not all men on a horse is a cowboy.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 p1 s1 x1 x2 x3.(Topic(e1,p1) & exists e2.(Actor(e2,x1) & v_work(e2)) & a_out(s1) & Manner(e1,s1) & Theme(e1,x3) & Actor(e1,x2) & v_ride(e1) & n_horse(x3) & of(x3,x1) & n_male(x1) & n_cowboy(x2) & n_cowboy(x1))
7c11bf1c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.007196696475148201, 0.9888643026351929, 0.003939012065529823 ]
Man in black with a feathered hat sits atop a horse.
A man rides a horse.
0
-100
in a both sentence man in black house.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_ride(e1) & n_horse(x2) & n_man(x1))
7c11c5c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9469429850578308, 0.04084739461541176, 0.012209545820951462 ]
Man in black with a feathered hat sits atop a horse.
A woman wearing white watches a horse competition.
2
-100
The man isn't a woman. The man wears black, not white. The man sits atop a horse so may be in the competition instead of watching the competition.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists x1 x2.(a_topic(x1) & all x3 x4.((n_competition(x3) & of(x3,x4) & n_horse(x4)) -> exists e1 s1 x5.(Theme(e1,x5) & Actor(e1,x2) & v_wear(e1) & for(x5,x3) & n_watch(x5) & a_white(s1) & Theme(s1,x5))) & (x1 = x2) & n_woman(x1))
7c11caf2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007481138891307637, 0.0007075127796269953, 0.9992176294326782 ]
Man in black with a feathered hat sits atop a horse.
The man has been riding his horse all day.
1
0.588094
Just because the man is on his horse does not mean he has been riding his horse all day.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists x2 x3.(n_horse(x3) & of(x3,x2) & n_male(x2) & n_man(x2) & all x1.(n_day(x1) -> exists e1.(Time(e1,x1) & Theme(e1,x3) & Actor(e1,x2) & v_ride(e1))))
7c11cfca-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004332704935222864, 0.9904787540435791, 0.005188546609133482 ]
Man in black with a feathered hat sits atop a horse.
A man is sitting on a horse.
0
-100
in a both sentence man in horse.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2.(on(e1,x2) & n_horse(x2) & Actor(e1,x1) & v_sit(e1) & n_man(x1))
7c11d484-e4c8-11ec-9cdd-0242ac1c0002
[ 0.982848048210144, 0.01641467772424221, 0.000737291295081377 ]
Man in black with a feathered hat sits atop a horse.
A man poses on a horse before a horse show wearing a black feathered hat.
1
0.740653
Just because he is sitting on his horse does not mean he poses on it.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e2 e1 s1 s2 x1 x2 x3 x4 x5 x6.(before(e1,x3) & Theme(e2,x6) & Actor(e2,x5) & v_wear(e2) & n_hat(x6) & a_feathered(s2) & Theme(s2,x6) & a_black(s1) & Theme(s1,x6) & (x3 = x5) & n_show(x3) & of(x3,x4) & n_horse(x4) & on(e1,x2) & n_horse(x2) & Actor(e1,x1) & v_pose(e1) & n_man(x1))
7c11d93e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00307241128757596, 0.9963745474815369, 0.0005530205671675503 ]
Man in black with a feathered hat sits atop a horse.
A man ride his horse in a competition.
1
0.603552
Just because he sits on his horse does not mean he is going in a competition.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
(x)
7c11dde4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0024489962961524725, 0.9744135141372681, 0.023137463256716728 ]
Man in black with a feathered hat sits atop a horse.
The man is outdoors.
0
-100
If someone sits atop a horse he is most likely outdoors.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists p1 x1.(n_man(x1) & exists x2.((x1 = x2) & n_outdoors(x2)))
7c11e35c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8949064612388611, 0.10423167794942856, 0.0008618797292001545 ]
Man in black with a feathered hat sits atop a horse.
A man wears a feathered hat while he's sitting on a horse.
0
0.967631
in a both sentence man in sitting on a horse.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 p1 s1 x1 x2.(exists e2 x3.(on(e2,x3) & n_horse(x3) & Actor(e2,x1) & v_sit(e2)) & n_male(x1) & while(e1,p1) & Theme(e1,x2) & Actor(e1,x1) & v_wear(e1) & n_hat(x2) & a_feathered(s1) & Theme(s1,x2) & n_man(x1))
7c11e80c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9698308110237122, 0.029410939663648605, 0.0007581400568597019 ]
Man in black with a feathered hat sits atop a horse.
A man drives his truck in the city.
2
-100
The man sits atop and rides a horse so isn't driving a truck.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2 x3.(n_city(x3) & in(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_drive(e1) & n_truck(x2) & of(x2,x1) & n_male(x1) & n_man(x1))
7c11ed8e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007054217712720856, 0.00037692722980864346, 0.9995525479316711 ]
Man in black with a feathered hat sits atop a horse.
A man rides a horse wearing a hat with a feather in it.
0
-100
in a both sentence man wearing a hat.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 e2 x1 x2 x3 x4 x5.(Theme(e2,x2) & Actor(e2,x1) & v_ride(e2) & Theme(e1,x4) & Actor(e1,x3) & v_wear(e1) & with(x4,x5) & in(x5,x1) & n_thing(x1) & n_feather(x5) & n_hat(x4) & (x2 = x3) & n_horse(x2) & n_man(x1))
7c11f36a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7467800378799438, 0.1934373378753662, 0.05978262424468994 ]
Man in black with a feathered hat sits atop a horse.
The man is holding on to the horse's reins.
1
0.825558
Just because they man is on his horse does not mean he is holding on to the horse's reins.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists e1 x1 x2 x3.(n_rein(x3) & of(x3,x2) & n_horse(x2) & n_man(x1) & r_on(e1) & to(e1,x3) & Actor(e1,x1) & v_hold(e1))
7c11f87e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.020497731864452362, 0.974202036857605, 0.005300299730151892 ]
Man in black with a feathered hat sits atop a horse.
The man is wearing all white clothing.
2
0.000001
The man in black isn't wearing any white clothing.
exists e1 s1 s2 x1 x2 x3 x4.(atop(e1,x4) & n_horse(x4) & Actor(e1,x1) & v_sit(e1) & with(x1,x3) & n_hat(x3) & a_feathered(s2) & Theme(s2,x3) & Theme(s1,x2) & a_black(s1) & (x1 = x2) & n_man(x1))
exists x1.(n_man(x1) & all x2 s1.((n_clothing(x2) & a_white(s1) & Theme(s1,x2)) -> exists e1.(Theme(e1,x2) & Actor(e1,x1) & v_wear(e1))))
7c11fd6a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00017604156164452434, 0.0032072702888399363, 0.9966166615486145 ]
Men and women at reception at a business conference
The business conference has men and women in attendance.
0
-100
in a both sentence the business at reception.
exists s1 x1 x2 x3 x4 x5.(a_topic(s1) & subset_of(x2,s1) & at(x2,x3) & at(x3,x4) & n_conference(x4) & of(x4,x5) & n_business(x5) & n_reception(x3) & n_woman(x2) & subset_of(x1,s1) & n_man(x1))
exists e1 x1 x2 x3 x4 x5 x6.(n_conference(x1) & of(x1,x2) & n_business(x2) & in(e1,x6) & n_attendance(x6) & Theme(e1,x3) & Actor(e1,x1) & v_have(e1) & n_woman(x5) & n_man(x4) & subset_of(x5,x3) & subset_of(x4,x3))
7c120256-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9491604566574097, 0.049499716609716415, 0.001339822425507009 ]
Men and women at reception at a business conference
The men and women are conversating at the reception.
1
-100
Just because they are at a business conference does not mean they are conversating.
exists s1 x1 x2 x3 x4 x5.(a_topic(s1) & subset_of(x2,s1) & at(x2,x3) & at(x3,x4) & n_conference(x4) & of(x4,x5) & n_business(x5) & n_reception(x3) & n_woman(x2) & subset_of(x1,s1) & n_man(x1))
exists e1 x1 x2 x3 x4.(n_reception(x4) & n_woman(x3) & n_man(x2) & subset_of(x3,x1) & subset_of(x2,x1) & at(e1,x4) & Actor(e1,x1) & v_conversate(e1))
7c1207e2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.323801726102829, 0.6740758419036865, 0.0021224787924438715 ]
Men and women at reception at a business conference
There is men and women at a circus event.
2
-100
The business conference is a very different event to a circus.
exists s1 x1 x2 x3 x4 x5.(a_topic(s1) & subset_of(x2,s1) & at(x2,x3) & at(x3,x4) & n_conference(x4) & of(x4,x5) & n_business(x5) & n_reception(x3) & n_woman(x2) & subset_of(x1,s1) & n_man(x1))
exists p1 x1 x2 x3.(at(p1,x2) & n_event(x2) & of(x2,x3) & n_circus(x3) & exists x4 x5 x6.((x1 = x4) & n_woman(x6) & n_man(x5) & subset_of(x6,x4) & subset_of(x5,x4)))
7c120d0a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00010754020331660286, 0.0010514762252569199, 0.9988409876823425 ]
A happy young couple having a glass of whine and talking.
Two people are talking while drinking wine.
0
-100
Two is a couple, and having a glass is for the purpose of drinking.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(a_topic(x1) & Theme(e2,x3) & Actor(e2,x2) & v_have(e2) & of(x3,x4) & subset_of(e1,x4) & Actor(e1,x6) & v_talking(e1) & n_thing(x6) & subset_of(x5,x4) & n_whine(x5) & n_glass(x3) & (x1 = x2) & n_couple(x1) & a_young(s2) & Theme(s2,x1) & a_happy(s1) & Theme(s1,x1))
exists e1 e2 x1 x2.(while(e1,e2) & Theme(e2,x2) & Actor(e2,x1) & v_drink(e2) & n_wine(x2) & Actor(e1,x1) & v_talk(e1) & n_people(x1) & card_eq_2(x1))
7c12120a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9773478507995605, 0.021305639296770096, 0.0013464504154399037 ]
A happy young couple having a glass of whine and talking.
A man is sitting alone in a bar.
2
-100
A young couple is not a man who is alone.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(a_topic(x1) & Theme(e2,x3) & Actor(e2,x2) & v_have(e2) & of(x3,x4) & subset_of(e1,x4) & Actor(e1,x6) & v_talking(e1) & n_thing(x6) & subset_of(x5,x4) & n_whine(x5) & n_glass(x3) & (x1 = x2) & n_couple(x1) & a_young(s2) & Theme(s2,x1) & a_happy(s1) & Theme(s1,x1))
exists e1 p1 x1 x2.(in(e1,x2) & n_bar(x2) & exists s1.(Theme(s1,x1) & a_alone(s1)) & Topic(e1,p1) & Actor(e1,x1) & v_sit(e1) & n_man(x1))
7c1217a0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007129138248274103, 0.0007164201233536005, 0.9992121458053589 ]
A happy young couple having a glass of whine and talking.
A couple is toasting a celebration.
1
-100
Just because they are drinking wine doesn't mean they are toasting a celebration. People drink wine for all sorts of reasons
exists e2 e1 s1 s2 x1 x2 x3 x4 x5 x6.(a_topic(x1) & Theme(e2,x3) & Actor(e2,x2) & v_have(e2) & of(x3,x4) & subset_of(e1,x4) & Actor(e1,x6) & v_talking(e1) & n_thing(x6) & subset_of(x5,x4) & n_whine(x5) & n_glass(x3) & (x1 = x2) & n_couple(x1) & a_young(s2) & Theme(s2,x1) & a_happy(s1) & Theme(s1,x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_toast(e1) & n_celebration(x2) & n_couple(x1))
7c121cfa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.029231231659650803, 0.9695374965667725, 0.0012313219485804439 ]
A man and a woman are talking to a man in a room filled with people.
The people are at a party
1
-100
Just because the room is filled with people does not mean they are at a party.
exists e1 e2 x1 x2 x3 x4 x5 x6 x7.(in(e1,x5) & with(e2,x7) & n_people(x7) & Theme(e2,x6) & v_fill(e2) & (x5 = x6) & n_room(x5) & to(e1,x4) & n_man(x4) & Actor(e1,x1) & v_talk(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1) & n_man(x2))
exists p1 x1.(n_people(x1) & exists x2.(at(x1,x2) & n_party(x2)))
7c1221b4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004731186665594578, 0.9933468103408813, 0.001922074006870389 ]
A man and a woman are talking to a man in a room filled with people.
Some people are talking
0
-100
in a both sentence people are talking to a man.
(-x)
(-x)
7c122646-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7757183313369751, 0.22266794741153717, 0.001613728003576398 ]
A man and a woman are talking to a man in a room filled with people.
The man and woman are driving home
2
-100
One cant be in a room and driving home simultaneously.
exists e1 e2 x1 x2 x3 x4 x5 x6 x7.(in(e1,x5) & with(e2,x7) & n_people(x7) & Theme(e2,x6) & v_fill(e2) & (x5 = x6) & n_room(x5) & to(e1,x4) & n_man(x4) & Actor(e1,x1) & v_talk(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1) & n_man(x2))
exists e1 x1 x2 x3 x4.(n_woman(x3) & n_man(x2) & subset_of(x3,x1) & subset_of(x2,x1) & Time(e1,x4) & n_home(x4) & Actor(e1,x1) & v_drive(e1))
7c122ad8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005470144242281094, 0.0018896689871326089, 0.9980555772781372 ]
A woman with a tote bag exchanges conversation with people at a trade show.
A woman is at a trade show.
0
-100
There is a woman at a trade show.
(-x)
(-x)
7c123122-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9831809401512146, 0.01601027138531208, 0.0008088539470918477 ]
A woman with a tote bag exchanges conversation with people at a trade show.
A woman with a tote bag exchanges conversation about her day with people at a trade show.
1
-100
Not all conversation is about someone's day.
(-x)
(-x)
7c12365e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.001325497287325561, 0.998420000076294, 0.00025455118156969547 ]
A woman with a tote bag exchanges conversation with people at a trade show.
A man with a tote bag exchanges conversation with people at a trade show.
2
-100
Woman and man are different.
exists s1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & at(x1,x6) & n_show(x6) & of(x6,x7) & n_trade(x7) & with(x1,x5) & n_people(x5) & Time(x1,x4) & n_conversation(x4) & with(x1,x2) & n_exchange(x2) & of(x2,x3) & n_bag(x3) & a_tote(s1) & Theme(s1,x2) & n_woman(x1))
exists s1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & with(x1,x2) & at(x2,x6) & n_show(x6) & of(x6,x7) & n_trade(x7) & with(x2,x5) & n_people(x5) & Time(x2,x4) & n_conversation(x4) & n_exchange(x2) & of(x2,x3) & n_bag(x3) & a_tote(s1) & Theme(s1,x2) & n_man(x1))
7c123b9a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0002508182660676539, 0.0012577049201354384, 0.9984915256500244 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
The couple are talking with the representative to understand their job better.
1
0.590028
Just because they are talking with a representative does not mean they want to understand their job better.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 p1 x1 x2 x3.(n_job(x3) & of(x3,x2) & n_thing(x2) & n_representative(x2) & n_couple(x1) & Topic(e1,p1) & exists e2 s1.(a_better(s1) & Manner(e2,s1) & Theme(e2,x3) & Actor(e2,x1) & v_understand(e2)) & with(e1,x2) & Actor(e1,x1) & v_talk(e1))
7c124068-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006781849078834057, 0.9925690293312073, 0.000649107969366014 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple throw rice at a wedding.
2
-100
One cant be attending a business event and at a wedding simultaneously.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 x1 x2 x3.(at(e1,x3) & n_wedding(x3) & Theme(e1,x2) & Actor(e1,x1) & v_throw(e1) & n_rice(x2) & n_couple(x1))
7c124518-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007827730587450787, 0.0005025703576393425, 0.9994192123413086 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple negotiates a deal with a representative at an event.
1
0.597706
Just because they are speaking to a representative does not mean they negotiates with him.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 x1 x2 x3 x4.(at(e1,x4) & n_event(x4) & Theme(e1,x2) & Actor(e1,x1) & v_negotiate(e1) & with(x2,x3) & n_representative(x3) & n_deal(x2) & n_couple(x1))
7c1249c8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.07014533132314682, 0.9283499121665955, 0.0015047803753986955 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
The couple are trying to buy something.
1
0.00127
Not all couple speaking to a representative are trying to buy something.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 p1 x1.(n_couple(x1) & Topic(e1,p1) & Actor(e1,x1) & v_try(e1) & exists e2 x2.(Theme(e2,x2) & Actor(e2,x1) & v_buy(e2) & n_thing(x2)))
7c124e6e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01010048110038042, 0.9886000752449036, 0.0012993818381801248 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple beats up a representative from a large corporation.
2
0.000034
One can not be speaking with and beats up someone simultaneously.
exists e2 e1 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 s1 s2 x1 x2 x3.(a_up(s2) & Manner(e1,s2) & Theme(e1,x2) & Actor(e1,x1) & v_beat(e1) & from(x2,x3) & n_corporation(x3) & a_large(s1) & Theme(s1,x3) & n_representative(x2) & n_couple(x1))
7c12531e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007320725126191974, 0.0025756664108484983, 0.9973510503768921 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
The couple are in a business center.
0
-100
in a both sentence the couple are indoor.
(-x)
(-x)
7c1259f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7171515822410583, 0.27875593304634094, 0.0040924809873104095 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple speak with a representative.
0
0.980526
in a both sentence a couple attending an business event.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 x1 x2.(with(e1,x2) & n_representative(x2) & Actor(e1,x1) & v_speak(e1) & n_couple(x1))
7c125ee0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9912821054458618, 0.008100096136331558, 0.0006177726900205016 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
Children are playing at daycare.
2
-100
Children would not be attending a business event.
(-x)
(-x)
7c1263f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0000854385580169037, 0.0006286572315730155, 0.9992859959602356 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
The couple are circus performers.
2
-100
Circus performers wouldnt go to a business event.
(-x)
(-x)
7c1268c2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0014658969594165683, 0.336113303899765, 0.6624208688735962 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple speak with a representative from a large corporation.
1
0.015172
Not all representative are from a large corporation.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 s1 x1 x2 x3.(with(e1,x2) & from(x2,x3) & n_corporation(x3) & a_large(s1) & Theme(s1,x3) & n_representative(x2) & Actor(e1,x1) & v_speak(e1) & n_couple(x1))
7c126d68-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01896304078400135, 0.9802040457725525, 0.0008329167030751705 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A representative is working at an indoor business event.
0
-100
A REPRESENTATIVE WORKING AT AN INDOOR BUSINESS EVENT IS SPEAKING TO A COUPLE ATTENDING IT.
(-x)
(-x)
7c1271fa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.633813202381134, 0.36078906059265137, 0.0053977640345692635 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple is asking questions to increase their business revenue.
1
0.001814
Howto increase business revenue is not the only question to ask a representative.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6.(in(e2,x6) & n_suit(x6) & a_nice(s2) & Theme(s2,x6) & with(e2,x5) & n_representative(x5) & Actor(e2,x1) & v_speak(e2) & Theme(e1,x3) & Actor(e1,x2) & v_attend(e1) & n_event(x3) & of(x3,x4) & n_business(x4) & a_indoor(s1) & Theme(s1,x3) & (x1 = x2) & n_couple(x1))
exists e1 p1 x1 x2 x3 x4.(Topic(e1,p1) & Recipient(e1,x2) & Actor(e1,x1) & v_ask(e1) & exists e2.(Theme(e2,x3) & Actor(e2,x2) & v_increase(e2)) & n_revenue(x3) & of(x3,x4) & n_business(x4) & of(x3,x1) & n_thing(x1) & n_question(x2) & n_couple(x1))
7c127696-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0011986674508079886, 0.9973223805427551, 0.0014789473498240113 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
The couple are together.
0
-100
THE COUPLE SPEAKING WITH THE REPRESENTATIVE ARE TOGETHER.
(-x)
(-x)
7c127cae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8930257558822632, 0.10444720834493637, 0.0025270560290664434 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
A couple talks with a representative at an event.
0
-100
A COUPLE IS TALKING WITH A REPRESENTATIVE AT AN EVENT THEY ARE ATTENDING.
(-x)
(-x)
7c128258-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9849079847335815, 0.014470257796347141, 0.0006217719055712223 ]
A couple attending an indoor business event are speaking with a representative in a nice suit.
The man is wearing a spacesuit and standing next to a time-machine.
2
-100
A spacesuit is not a nice suit for business.
(-x)
(-x)
7c128712-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006452684465330094, 0.00221994542516768, 0.9977154731750488 ]
A skier coming over a snowy hill while people look on.
The skier is pushing a snowmobile.
2
-100
A skier does not use a snowmobile.
(-x)
(-x)
7c128c30-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007760628941468894, 0.03647682070732117, 0.9627470970153809 ]
A skier coming over a snowy hill while people look on.
The skier has a number outside his clothing in his or her chest area.
1
-100
Not all skier has a number outside their clothing.
(-x)
(-x)
7c1290ea-e4c8-11ec-9cdd-0242ac1c0002
[ 0.10506270080804825, 0.8488360643386841, 0.046101268380880356 ]
A skier coming over a snowy hill while people look on.
At least some of the people are wearing coats.
0
-100
SOME PEOPLE WEARING COATS ARE LOOKING AT A SKIER COMING OVER A SNOWY HILL.
(-x)
(-x)
7c129590-e4c8-11ec-9cdd-0242ac1c0002
[ 0.46306219696998596, 0.5348038077354431, 0.0021339794620871544 ]
Three surfers walking on the beach
The surfers are wearing jeans and sitting around a table.
2
-100
One cant be walking on the beach and sitting around a table simultaneously.
(-x)
(-x)
7c129a22-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004414325667312369, 0.0007507753907702863, 0.9992050528526306 ]
Three surfers walking on the beach
The surfers are outside.
0
-100
THREE SURFERS ARE OUTSIDE WALKING ON THE BEACH.
(-x)
(-x)
7c129ebe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9686173796653748, 0.03040408343076706, 0.0009785570437088609 ]
Three surfers walking on the beach
The weather is nice outside.
1
-100
Surfers does not walk in the beach only when the weather is nice outside.
(-x)
(-x)
7c12a440-e4c8-11ec-9cdd-0242ac1c0002
[ 0.36773887276649475, 0.6293283700942993, 0.0029327645897865295 ]
Three surfers walking down a beach.
There are three surfers who are friends.
1
-100
It cannot be assumed that the group of surfers are friends.
(-x)
(-x)
7c12a922-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0018144166097044945, 0.997724711894989, 0.00046082871267572045 ]
Three surfers walking down a beach.
There are three surfers.
0
-100
The surfers are - they exist - because they are walking.
(-x)
(-x)
7c12adbe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9885164499282837, 0.010016319341957569, 0.0014672063989564776 ]
Three surfers walking down a beach.
There are four skateboarders.
2
-100
There can be either surfers or skateboarders.
(-x)
(-x)
7c12b2d2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001046459365170449, 0.00028386531630530953, 0.9996115565299988 ]
Three surfers are walking on the beach.
Three surfers are on the beach.
0
-100
THREE SURFERS ARE ON THE BEACH WALKING.
(-x)
(-x)
7c12b782-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9703822135925293, 0.027427444234490395, 0.0021903663873672485 ]
Three surfers are walking on the beach.
Three surfers are in the car.
2
-100
One cant be walking on the beach and in the car simultaneously.
(-x)
(-x)
7c12bc1e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005529558256966993, 0.0003214585885871202, 0.99962317943573 ]
Three surfers are walking on the beach.
They are about to go into the water.
1
-100
Not all surfers walking on the beach are about to go into the water.
(-x)
(-x)
7c12c0ba-e4c8-11ec-9cdd-0242ac1c0002
[ 0.04870692268013954, 0.9484667778015137, 0.0028262820560485125 ]
Three surfers walking down a beach with several large rocks in the sand.
There are three surfers.
0
-100
THREE SURFERS ARE WALKING DOWN A BEACH WITH SEVERAL LARGE ROCKS.
(-x)
(-x)
7c12c560-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9898650050163269, 0.008815833367407322, 0.001319155446253717 ]
Three surfers walking down a beach with several large rocks in the sand.
There are five surfers.
2
-100
Five is more than three.
(-x)
(-x)
7c12ca88-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0031656790524721146, 0.0066924914717674255, 0.9901418089866638 ]
Three surfers walking down a beach with several large rocks in the sand.
The surfers have surfboards.
1
-100
Not all surfers walking down a beach has surfboards.
(-x)
(-x)
7c12cf38-e4c8-11ec-9cdd-0242ac1c0002
[ 0.23009811341762543, 0.7653355002403259, 0.00456635607406497 ]
Three shortboarders are walking down the beach toward an outcropping of black boulders.
Three shortboarders are riding bikes on the beach.
2
-100
Either the shortboarders are walking or they are riding bikes. They cannot physically do both.
(-x)
(-x)
7c12d410-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008211205567931756, 0.0007109249709174037, 0.999207079410553 ]
Three shortboarders are walking down the beach toward an outcropping of black boulders.
Three shortboarders are getting ready to enter the water.
1
-100
Not all shortboarders walking down the beach are getting ready to enter the water.
(-x)
(-x)
7c12d8d4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.020474277436733246, 0.9654284715652466, 0.014097252860665321 ]
Three shortboarders are walking down the beach toward an outcropping of black boulders.
Three people are walking on the sand towards black rocks.
0
-100
THREE SHORTBOARDERS ARE WALKING TOWARDS BLACK ROCKS DOWN THE BEACH.
(-x)
(-x)
7c12dd3e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9135279059410095, 0.08144237846136093, 0.00502970302477479 ]
Young riders on an amusement park ride.
Young Children doing their homework
2
-100
Either the children are on a park ride or they are doing their homework, which they wouldn't do at an amusement park.
(-x)
(-x)
7c12e194-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006105087231844664, 0.0004881494678556919, 0.9994508624076843 ]
Young riders on an amusement park ride.
Young Riders riding an amusement park ride
0
-100
YOUNG RIDERS ARE RIDING ON A RIDE IN AN AMUSEMENT PARK.
(-x)
(-x)
7c12e5e0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9490352272987366, 0.047819796949625015, 0.0031449326779693365 ]
Young riders on an amusement park ride.
Young Riders riding an amusement park ride with parents
1
-100
Not all young riders riding an amusement park rides with their parents.
(-x)
(-x)
7c12ea40-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0040262434631586075, 0.9949167966842651, 0.0010570273734629154 ]
A girl is playing with toys inside of a tub of water.
A girl is taking a bath.
-1
-100
(x)
(x)
7c12ee82-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0391971617937088, 0.9325150847434998, 0.028287747874855995 ]
A girl is playing with toys inside of a tub of water.
A girl is lost at sea.
2
-100
Either the girl is laying inside a tub of water, or is completely lost at sea. She cannot be in both places at once.
(-x)
(-x)
7c12f38c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00035297905560582876, 0.07716722041368484, 0.9224798083305359 ]
A girl is playing with toys inside of a tub of water.
A girl is in water playing with toys.
0
-100
A tub of water is still water.
(-x)
(-x)
7c12f9e0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.968407154083252, 0.03045530803501606, 0.001137537183240056 ]
An older gentleman in a plaid shirt and glasses is smiling at the camera.
THe older gentleman is wearing a solid shirt and contacts.
2
-100
Either the gentleman is wearing a plaid shirt and glasses or a solid shirt and contacts. He cannot wear all of those simultaneously without issue.
(-x)
(-x)
7c12ff62-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004242300987243652, 0.006118732038885355, 0.9896389245986938 ]
An older gentleman in a plaid shirt and glasses is smiling at the camera.
The older guy has his eyes fixated on the camera.
0
-100
both are older
(-x)
(-x)
7c1304bc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.839190661907196, 0.15463052690029144, 0.006178786978125572 ]
An older gentleman in a plaid shirt and glasses is smiling at the camera.
THe older man has to wear glasses to improve his vision.
1
-100
Not all older men wear glasses.
(-x)
(-x)
7c1309d0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.22065013647079468, 0.7711144089698792, 0.00823547039180994 ]
A bald man is sitting on a rock next to a woman in a black jacket.
A man and a woman are sitting next to each other at the grand canyon.
1
-100
a rock doesn't always mean grand canyon.
(-x)
(-x)
7c130ee4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.014111419208347797, 0.9819186925888062, 0.003969832323491573 ]
A bald man is sitting on a rock next to a woman in a black jacket.
A man and a woman are cooking dinner in the kitchen
2
-100
Either the man and woman are sitting outside on a rock or they are cooking dinner in a kitchen. They cannot be in both locations at one time.
(-x)
(-x)
7c1313f8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00003968743476434611, 0.0005449047894217074, 0.999415397644043 ]
A bald man is sitting on a rock next to a woman in a black jacket.
A man and a woman are sitting next to each other.
0
-100
bot are sitting
(-x)
(-x)
7c1321f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9784001111984253, 0.020584864541888237, 0.0010149577865377069 ]
A pole vaulter leaving the pit with his pole.
The man left the pole.
2
-100
Either the vaulter is leaving the pit with his pole or he is leaving his pole as well as the pit.
(-x)
(-x)
7c1329ce-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8341450691223145, 0.1289377063512802, 0.0369173064827919 ]
A pole vaulter leaving the pit with his pole.
The pole vaulter left the pit with his pole to take it to be repaired.
1
-100
pole. doesn't always mean be repaired.
(-x)
(-x)
7c132faa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0009414883679710329, 0.9984434247016907, 0.0006150482804514468 ]
A pole vaulter leaving the pit with his pole.
The pole vaulter left the pit.
0
-100
both are leaving
(-x)
(-x)
7c1334be-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9840031266212463, 0.014130077324807644, 0.001866703387349844 ]
Four people looking at some cattle beside a barn.
Four people are studying cattle for a research project.
1
-100
looking at doesn't always mean studying
(-x)
(-x)
7c1339f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004596270446199924, 0.9990606904029846, 0.00047972743050195277 ]
Four people looking at some cattle beside a barn.
Four people are stargazing.
2
-100
Either the group are looking at some cattle, presumably during the day, or they are stargazing, which people usually do at night.
(-x)
(-x)
7c133ea0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007473009754903615, 0.051501691341400146, 0.9477510452270508 ]
Four people looking at some cattle beside a barn.
Cattle are beside a barn.
0
-100
in both sentences, cattle are beside a barn.
(-x)
(-x)
7c13447c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9752225875854492, 0.023514319211244583, 0.0012630925048142672 ]
Kids having fun in their house after an evening dinner.
Kids playing after finishing their pizza.
1
-100
dinner doesn't always mean pizza.
(-x)
(-x)
7c13494a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.002602136228233576, 0.9959657192230225, 0.0014321532798931003 ]
Kids having fun in their house after an evening dinner.
A man singing to a woman.
2
-100
Kids refers to multiple younger humans, either man or woman. Man and woman refer to grown male and grown female respectively. Either the group are having fun or one is singing to another.
(-x)
(-x)
7c134e7c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00046176312025636435, 0.0005262473132461309, 0.9990119934082031 ]
Kids having fun in their house after an evening dinner.
Kids playing after finishing their meal.
0
-100
having and playing can be the same action
(-x)
(-x)
7c135336-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8625642657279968, 0.13644172251224518, 0.0009940051240846515 ]
A dark-haired young in a red and white uniform is holding a vaulting pole.
A young person doing gymnastics.
2
-100
Either the person is holding a vaulting pole, about to pole vault, or they are doing gymnastics. They cannot do both at the same time.
(-x)
(-x)
7c1357c8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8886376619338989, 0.11000416427850723, 0.0013581729726865888 ]