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 little boy swims underwater.
A boy floats on top of water.
2
-100
One can't be swiming underwater and float on top of it simultaneously.
(-x)
(-x)
498151b6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.10290329158306122, 0.031124241650104523, 0.8659725189208984 ]
A little boy swims underwater.
A little boy swimming at a beach.
1
-100
Not all little boys who swim underwater do so at a beach.
exists e1 s1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_swim(e1) & n_underwater(x2) & n_boy(x1) & a_little(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(a_topic(x1) & at(x1,x3) & n_beach(x3) & n_swimming(x1) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
49815652-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03600942716002464, 0.9587621688842773, 0.005228401627391577 ]
A little boy swims underwater.
A child swimming.
0
-100
A boy is swimming underwater.
exists e1 s1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_swim(e1) & n_underwater(x2) & n_boy(x1) & a_little(s1) & Theme(s1,x1))
exists x1 x2.(a_topic(x1) & n_swimming(x1) & of(x1,x2) & n_child(x2))
49815af8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9812203645706177, 0.018195493146777153, 0.0005842004320584238 ]
A driver is racing his Ford vehicle on a gravel track.
A man has parked his truck.
2
-100
A man cannot be racing in a parked vehicle.
exists e1 x1 x2 x3 x4 x5.(Theme(e1,x2) & Actor(e1,x1) & v_race(e1) & on(x2,x4) & n_track(x4) & of(x4,x5) & n_gravel(x5) & n_vehicle(x2) & (x2 = x3) & ne_per_ford(x3) & of(x2,x1) & n_male(x1) & n_driver(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_park(e1) & n_truck(x2) & of(x2,x1) & n_male(x1) & n_man(x1))
49816002-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0028947999235242605, 0.04481828957796097, 0.952286958694458 ]
A driver is racing his Ford vehicle on a gravel track.
A Ford is being driven on a track.
0
-100
A Ford driver is racing on a gravel track.
exists e1 x1 x2 x3 x4 x5.(Theme(e1,x2) & Actor(e1,x1) & v_race(e1) & on(x2,x4) & n_track(x4) & of(x4,x5) & n_gravel(x5) & n_vehicle(x2) & (x2 = x3) & ne_per_ford(x3) & of(x2,x1) & n_male(x1) & n_driver(x1))
exists e1 x1 x2.(on(e1,x2) & n_track(x2) & Theme(e1,x1) & v_drive(e1) & ne_org_ford(x1))
49816566-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9735856652259827, 0.025077279657125473, 0.0013370667584240437 ]
A driver is racing his Ford vehicle on a gravel track.
A man is racing his truck.
1
-100
You do not have to be a man to race a vehicle. Not all Ford vehicle's are trucks.
exists e1 x1 x2 x3 x4 x5.(Theme(e1,x2) & Actor(e1,x1) & v_race(e1) & on(x2,x4) & n_track(x4) & of(x4,x5) & n_gravel(x5) & n_vehicle(x2) & (x2 = x3) & ne_per_ford(x3) & of(x2,x1) & n_male(x1) & n_driver(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_race(e1) & n_truck(x2) & of(x2,x1) & n_male(x1) & n_man(x1))
49816a16-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7304521799087524, 0.264711856842041, 0.004835986997932196 ]
Three guys and a girl are all jumping in a pool together.
The people are all climbing out of the water.
2
-100
They can be either jumping into the pool or climbing out of the water.
exists e1 s1 s2 x1 x2 x3 x4.(a_all(s2) & Manner(e1,s2) & a_together(s1) & Manner(e1,s1) & in(e1,x4) & n_pool(x4) & Actor(e1,x1) & v_jump(e1) & subset_of(x3,x1) & n_girl(x3) & subset_of(x2,x1) & n_guy(x2) & card_eq_3(x2))
exists e1 s1 x1 x2.(n_water(x2) & n_people(x1) & a_all(s1) & Manner(e1,s1) & of(e1,x2) & r_out(e1) & Actor(e1,x1) & v_climb(e1))
49816ed0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.016635073348879814, 0.11376222223043442, 0.8696027398109436 ]
Three guys and a girl are all jumping in a pool together.
The people are all jumping into a body of water.
0
-100
People are jumping into the water together.
exists e1 s1 s2 x1 x2 x3 x4.(a_all(s2) & Manner(e1,s2) & a_together(s1) & Manner(e1,s1) & in(e1,x4) & n_pool(x4) & Actor(e1,x1) & v_jump(e1) & subset_of(x3,x1) & n_girl(x3) & subset_of(x2,x1) & n_guy(x2) & card_eq_3(x2))
exists e1 s1 x1 x2 x3.(n_people(x1) & a_all(s1) & Manner(e1,s1) & into(e1,x2) & of(x2,x3) & n_water(x3) & n_body(x2) & Actor(e1,x1) & v_jump(e1))
4981739e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.979824423789978, 0.019579287618398666, 0.0005962313152849674 ]
Three guys and a girl are all jumping in a pool together.
The people are all friends.
1
-100
Just because three people are jumping in the pool together does not make them friends.
exists e1 s1 s2 x1 x2 x3 x4.(a_all(s2) & Manner(e1,s2) & a_together(s1) & Manner(e1,s1) & in(e1,x4) & n_pool(x4) & Actor(e1,x1) & v_jump(e1) & subset_of(x3,x1) & n_girl(x3) & subset_of(x2,x1) & n_guy(x2) & card_eq_3(x2))
exists p1 x1.(n_people(x1) & all x2.(n_friend(x2) -> (x1 = x2)))
49817858-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010175985284149647, 0.9890332221984863, 0.0007907456019893289 ]
A little boy underwater in a pool, holding a plastic dinosaur.
The toy is waterproof.
1
-100
Not all plastic dinosaurs are waterproof.
exists e1 s1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & in(x1,x3) & Theme(e1,x5) & Actor(e1,x4) & v_hold(e1) & n_dinosaur(x5) & of(x5,x6) & n_plastic(x6) & (x3 = x4) & n_pool(x3) & n_underwater(x1) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
exists s1 x1.(n_toy(x1) & Theme(s1,x1) & a_waterproof(s1))
49817d12-e4c8-11ec-9cdd-0242ac1c0002
[ 0.10636625438928604, 0.7927268147468567, 0.10090700536966324 ]
A little boy underwater in a pool, holding a plastic dinosaur.
The Lone Ranger swims again.
2
-100
The Lone Ranger is a man, not a little boy.
exists e1 s1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & in(x1,x3) & Theme(e1,x5) & Actor(e1,x4) & v_hold(e1) & n_dinosaur(x5) & of(x5,x6) & n_plastic(x6) & (x3 = x4) & n_pool(x3) & n_underwater(x1) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
exists e1 s1 x1 x2.(ne_per_ranger(x1) & (x1 = x2) & ne_per_lone(x2) & a_again(s1) & Manner(e1,s1) & Actor(e1,x1) & v_swim(e1))
498181cc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010259618982672691, 0.1569593846797943, 0.8327810168266296 ]
A little boy underwater in a pool, holding a plastic dinosaur.
Small boy in pool holds toy.
0
-100
A boy in a pool holds his plastic dinosaur toy.
exists e1 s1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & in(x1,x3) & Theme(e1,x5) & Actor(e1,x4) & v_hold(e1) & n_dinosaur(x5) & of(x5,x6) & n_plastic(x6) & (x3 = x4) & n_pool(x3) & n_underwater(x1) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
exists e1 s1 x1 x2 x3.(Theme(e1,x3) & Actor(e1,x1) & v_hold(e1) & n_toy(x3) & in(x1,x2) & n_pool(x2) & n_boy(x1) & a_small(s1) & Theme(s1,x1))
498186cc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9041565656661987, 0.09478870034217834, 0.0010547665879130363 ]
A little boy swimming underwater with a toy in his hand.
A little boy is chasing a dog.
2
-100
A little boy can either be chasing a dog, or be swimming underwater.
exists s1 x1 x2 x3 x4 x5.(a_topic(x1) & with(x1,x4) & in(x4,x5) & n_hand(x5) & of(x5,x1) & n_male(x1) & n_toy(x4) & n_underwater(x1) & of(x1,x3) & n_swimming(x3) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
exists e1 s1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_chase(e1) & n_dog(x2) & n_boy(x1) & a_little(s1) & Theme(s1,x1))
49818d98-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00011764724331442267, 0.004651422146707773, 0.9952308535575867 ]
A little boy swimming underwater with a toy in his hand.
A little boy is holding a pool ring.
1
-100
A pool ring is not the only toy a little boy can swim with underwater.
exists s1 x1 x2 x3 x4 x5.(a_topic(x1) & with(x1,x4) & in(x4,x5) & n_hand(x5) & of(x5,x1) & n_male(x1) & n_toy(x4) & n_underwater(x1) & of(x1,x3) & n_swimming(x3) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
exists e1 s1 x1 x2 x3.(Theme(e1,x2) & Actor(e1,x1) & v_hold(e1) & n_ring(x2) & of(x2,x3) & n_pool(x3) & n_boy(x1) & a_little(s1) & Theme(s1,x1))
498192e8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005129796918481588, 0.9858556389808655, 0.009014612063765526 ]
A little boy swimming underwater with a toy in his hand.
A little boy is underwater.
0
-100
The little boy is swimming underwater so he would indeed be underwater.
exists s1 x1 x2 x3 x4 x5.(a_topic(x1) & with(x1,x4) & in(x4,x5) & n_hand(x5) & of(x5,x1) & n_male(x1) & n_toy(x4) & n_underwater(x1) & of(x1,x3) & n_swimming(x3) & of(x1,x2) & n_boy(x2) & a_little(s1) & Theme(s1,x1))
exists s1 s2 x1.(Theme(s2,x1) & a_underwater(s2) & n_boy(x1) & a_little(s1) & Theme(s1,x1))
498197ac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9849024415016174, 0.013860159553587437, 0.0012373911449685693 ]
A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.
A man is riding in his first rodeo.
1
-100
We don't know if it is his first rodeo; he may be experienced.
exists e1 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(in(e2,x9) & n_rodeo(x9) & Theme(e2,x7) & Actor(e2,x1) & v_ride(e2) & n_horse(x7) & of(x7,x8) & n_bucking(x8) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hate(x5) & n_shirt(x4) & of(x4,x6) & n_shire(x6) & subset_of(x5,x3) & subset_of(x4,x3) & a_white(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
exists e1 s1 x1 x2.(in(e1,x2) & n_rodeo(x2) & a_first(s1) & Theme(s1,x2) & of(x2,x1) & n_male(x1) & Actor(e1,x1) & v_ride(e1) & n_man(x1))
49819c7a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000353009847458452, 0.9992913007736206, 0.00035562607808969915 ]
A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.
A rodeo clown chases a bull.
2
-100
One can't be riding a bucking horse and chasing a bull at the same time,
exists e2 e1 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(in(e2,x9) & n_rodeo(x9) & Theme(e2,x7) & Actor(e2,x1) & v_ride(e2) & n_horse(x7) & of(x7,x8) & n_bucking(x8) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hate(x5) & n_shirt(x4) & of(x4,x6) & n_shire(x6) & subset_of(x5,x3) & subset_of(x4,x3) & a_white(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
exists e1 x1 x2 x3.(Theme(e1,x3) & Actor(e1,x1) & v_chase(e1) & n_bull(x3) & n_clown(x1) & of(x1,x2) & n_rodeo(x2))
4981a134-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0009451829828321934, 0.07335113734006882, 0.9257036447525024 ]
A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.
A man is being bucked on a horse.
0
-100
One must be riding a bucking horse to be bucked on a horse.
exists e1 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(in(e2,x9) & n_rodeo(x9) & Theme(e2,x7) & Actor(e2,x1) & v_ride(e2) & n_horse(x7) & of(x7,x8) & n_bucking(x8) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hate(x5) & n_shirt(x4) & of(x4,x6) & n_shire(x6) & subset_of(x5,x3) & subset_of(x4,x3) & a_white(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
exists e1 x1 x2.(on(e1,x2) & n_horse(x2) & Theme(e1,x1) & v_buck(e1) & n_man(x1))
4981a5ee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8976156711578369, 0.08158154040575027, 0.020802786573767662 ]
A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.
The man rides an animal.
0
-100
A man is a rider.
exists e1 e2 p1 x1 x2 x3 x4 x5 x6 x7 x8.(during(e2,x8) & n_ride(x8) & of(x8,x1) & n_male(x1) & n_male(x1) & Theme(e2,x7) & Actor(e2,x4) & v_keep(e2) & n_grip(x7) & of(x7,x1) & n_rider(x4) & of(x4,x6) & n_bronc(x6) & of(x4,x5) & n_saddle(x5) & exists e3.(of(e3,x2) & r_out(e3) & Theme(e3,x1) & v_lift(e3)) & n_saddle(x2) & n_saddle(x2) & Topic(e1,p1) & Actor(e1,x1) & v_get(e1) & n_rider(x1) & of(x1,x3) & n_bronc(x3) & of(x1,x2))
exists e1 x1 x2.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_ride(e1) & n_animal(x2))
4981aa9e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9466807246208191, 0.049914903938770294, 0.0034042983315885067 ]
A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.
The man is trying not to fall.
1
-100
There are more than one ways to fall.
exists e1 e2 p1 x1 x2 x3 x4 x5 x6 x7 x8.(during(e2,x8) & n_ride(x8) & of(x8,x1) & n_male(x1) & n_male(x1) & Theme(e2,x7) & Actor(e2,x4) & v_keep(e2) & n_grip(x7) & of(x7,x1) & n_rider(x4) & of(x4,x6) & n_bronc(x6) & of(x4,x5) & n_saddle(x5) & exists e3.(of(e3,x2) & r_out(e3) & Theme(e3,x1) & v_lift(e3)) & n_saddle(x2) & n_saddle(x2) & Topic(e1,p1) & Actor(e1,x1) & v_get(e1) & n_rider(x1) & of(x1,x3) & n_bronc(x3) & of(x1,x2))
exists x1.(n_man(x1) & -exists e1 p1.(Topic(e1,p1) & Actor(e1,x1) & v_try(e1) & exists e2.(Actor(e2,x1) & v_fall(e2))))
4981b098-e4c8-11ec-9cdd-0242ac1c0002
[ 0.13848990201950073, 0.8569130301475525, 0.004597081337124109 ]
A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.
The man is riding a motorcycle.
2
-100
A saddle bronc riders rides a horse, not a motorcycle
exists e2 e1 p1 x1 x2 x3 x4 x5 x6 x7 x8.(during(e2,x8) & n_ride(x8) & of(x8,x1) & n_male(x1) & n_male(x1) & Theme(e2,x7) & Actor(e2,x4) & v_keep(e2) & n_grip(x7) & of(x7,x1) & n_rider(x4) & of(x4,x6) & n_bronc(x6) & of(x4,x5) & n_saddle(x5) & exists e3.(of(e3,x2) & r_out(e3) & Theme(e3,x1) & v_lift(e3)) & n_saddle(x2) & n_saddle(x2) & Topic(e1,p1) & Actor(e1,x1) & v_get(e1) & n_rider(x1) & of(x1,x3) & n_bronc(x3) & of(x1,x2))
exists e1 x1 x2.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_ride(e1) & n_motorcycle(x2))
4981b5ac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004173702036496252, 0.003306388622149825, 0.9962762594223022 ]
a woman with a straw hat working on a strange machine with coconuts at her side.
A woman is using a machine to make coconut milk.
1
-100
We can't infer sne is there to make coconut milk.
exists e1 s1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & at(e1,x7) & n_side(x7) & of(x7,x1) & n_female(x1) & on(e1,x5) & with(x5,x6) & n_coconut(x6) & n_machine(x5) & a_strange(s1) & Theme(s1,x5) & Actor(e1,x4) & v_work(e1) & (x1 = x4) & with(x1,x2) & n_hat(x2) & of(x2,x3) & n_straw(x3) & n_woman(x1))
exists e1 p1 x1 x2.(Theme(e1,p1) & Recipient(e1,x2) & Actor(e1,x1) & v_use(e1) & exists e2 s1 x3.(Theme(e2,x3) & Actor(e2,x1) & v_make(e2) & n_milk(x3) & a_coconut(s1) & Theme(s1,x3)) & n_machine(x2) & n_woman(x1))
4981ba70-e4c8-11ec-9cdd-0242ac1c0002
[ 0.007324638310819864, 0.9893431663513184, 0.0033322095405310392 ]
a woman with a straw hat working on a strange machine with coconuts at her side.
A woman is sitting on the couch.
2
-100
A woman can be working or sitting on a couch.
exists e1 s1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & at(e1,x7) & n_side(x7) & of(x7,x1) & n_female(x1) & on(e1,x5) & with(x5,x6) & n_coconut(x6) & n_machine(x5) & a_strange(s1) & Theme(s1,x5) & Actor(e1,x4) & v_work(e1) & (x1 = x4) & with(x1,x2) & n_hat(x2) & of(x2,x3) & n_straw(x3) & n_woman(x1))
exists e1 x1 x2.(n_couch(x2) & on(e1,x2) & Actor(e1,x1) & v_sit(e1) & n_woman(x1))
4981bf20-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0000774364234530367, 0.0003204313397873193, 0.9996021389961243 ]
a woman with a straw hat working on a strange machine with coconuts at her side.
A woman is at a machine.
0
-100
A strange machine is a type of machine.
exists e1 s1 x1 x2 x3 x4 x5 x6 x7.(a_topic(x1) & at(e1,x7) & n_side(x7) & of(x7,x1) & n_female(x1) & on(e1,x5) & with(x5,x6) & n_coconut(x6) & n_machine(x5) & a_strange(s1) & Theme(s1,x5) & Actor(e1,x4) & v_work(e1) & (x1 = x4) & with(x1,x2) & n_hat(x2) & of(x2,x3) & n_straw(x3) & n_woman(x1))
exists p1 x1.(exists x2.(at(x1,x2) & n_machine(x2)) & n_woman(x1))
4981c3ee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.975117564201355, 0.02344188652932644, 0.0014405035180971026 ]
A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.
The man is boiling a pot of corn.
2
-100
A man can be either shucking corn or boiling a pot of corn.
exists e3 e1 e5 e2 e4 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12.(Actor(e5,x12) & n_tree(x12) & Theme(e5,x8) & v_surround(e5) & Theme(e4,x10) & Actor(e4,x9) & v_wear(e4) & n_hat(x10) & of(x10,x11) & n_rice(x11) & (x8 = x9) & n_man(x8) & for(e2,e3) & Theme(e3,x6) & Actor(e3,x1) & v_use(e3) & n_shucker(x6) & of(x6,x7) & n_corn(x7) & Theme(e2,x5) & Actor(e2,x1) & v_shuck(e2) & n_corn(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & of(x3,x4) & n_rice(x4) & (x1 = x2) & n_man(x1))
exists e1 x1 x2 x3.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_boil(e1) & of(x2,x3) & n_corn(x3) & n_pot(x2))
4981c8b2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008347037510247901, 0.0013002387713640928, 0.9986163377761841 ]
A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.
There is a person processing vegetables.
0
-100
Shucking corn using a corn shucker is a way to process vegetables.
exists e2 e3 e5 e1 e4 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12.(Actor(e5,x12) & n_tree(x12) & Theme(e5,x8) & v_surround(e5) & Theme(e4,x10) & Actor(e4,x9) & v_wear(e4) & n_hat(x10) & of(x10,x11) & n_rice(x11) & (x8 = x9) & n_man(x8) & for(e2,e3) & Theme(e3,x6) & Actor(e3,x1) & v_use(e3) & n_shucker(x6) & of(x6,x7) & n_corn(x7) & Theme(e2,x5) & Actor(e2,x1) & v_shuck(e2) & n_corn(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & of(x3,x4) & n_rice(x4) & (x1 = x2) & n_man(x1))
exists p1 x1 x2 x3.((x1 = x2) & n_processing(x2) & Time(x2,x3) & n_vegetable(x3) & n_person(x2))
4981ce52-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9153772592544556, 0.07971690595149994, 0.004905753303319216 ]
A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.
A man is shucking a large pile of corn.
1
-100
We don't know if it is a large pile or not.
exists e3 e2 e5 e4 e1 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12.(Actor(e5,x12) & n_tree(x12) & Theme(e5,x8) & v_surround(e5) & Theme(e4,x10) & Actor(e4,x9) & v_wear(e4) & n_hat(x10) & of(x10,x11) & n_rice(x11) & (x8 = x9) & n_man(x8) & for(e2,e3) & Theme(e3,x6) & Actor(e3,x1) & v_use(e3) & n_shucker(x6) & of(x6,x7) & n_corn(x7) & Theme(e2,x5) & Actor(e2,x1) & v_shuck(e2) & n_corn(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & of(x3,x4) & n_rice(x4) & (x1 = x2) & n_man(x1))
exists e1 s1 x1 x2 x3.(Theme(e1,x2) & Actor(e1,x1) & v_shuck(e1) & of(x2,x3) & n_corn(x3) & n_pile(x2) & a_large(s1) & Theme(s1,x2) & n_man(x1))
4981d38e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.06325652450323105, 0.934174120426178, 0.00256930710747838 ]
a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.
The woman is making jewelry at the park.
1
-100
There are more than one way of making jewelry in the park.
exists e2 e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8.(a_topic(x1) & Theme(e2,x3) & Actor(e2,x2) & v_wear(e2) & exists e3 p1 x9.(n_thing(x9) & in(e1,x9) & Topic(e3,p1) & Actor(e3,x9) & v_appear(e3) & exists p2 x10.((x9 = x10) & n_park(x10))) & Theme(e1,x6) & Actor(e1,x5) & v_operate(e1) & of(x6,x7) & n_machine(x7) & of(x7,x8) & n_steel(x8) & a_stainless(s2) & Theme(s2,x7) & n_sort(x6) & (x3 = x5) & n_hat(x3) & of(x3,x4) & n_straw(x4) & a_chinese(s1) & Theme(s1,x3) & (x1 = x2) & n_woman(x1))
exists e1 x1 x2 x3.(n_park(x3) & n_woman(x1) & at(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_make(e1) & n_jewelry(x2))
4981dab4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.007395449094474316, 0.8989850878715515, 0.09361949563026428 ]
a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.
The woman has a small child trapped in the machine who sews clothes.
2
-100
A woman can't be operating a machine and also have a child trapped in the machine.
exists e1 e2 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8.(a_topic(x1) & Theme(e2,x3) & Actor(e2,x2) & v_wear(e2) & exists e3 p1 x9.(n_thing(x9) & in(e1,x9) & Topic(e3,p1) & Actor(e3,x9) & v_appear(e3) & exists p2 x10.((x9 = x10) & n_park(x10))) & Theme(e1,x6) & Actor(e1,x5) & v_operate(e1) & of(x6,x7) & n_machine(x7) & of(x7,x8) & n_steel(x8) & a_stainless(s2) & Theme(s2,x7) & n_sort(x6) & (x3 = x5) & n_hat(x3) & of(x3,x4) & n_straw(x4) & a_chinese(s1) & Theme(s1,x3) & (x1 = x2) & n_woman(x1))
exists e3 e1 e2 s1 x1 x2 x3 x4 x5 x6.(n_machine(x4) & n_woman(x1) & Theme(e3,x2) & Actor(e3,x1) & v_have(e3) & in(e1,x4) & Theme(e2,x6) & Actor(e2,x5) & v_sew(e2) & n_clothes(x6) & (x4 = x5) & Theme(e1,x3) & v_trap(e1) & (x2 = x3) & n_child(x2) & a_small(s1) & Theme(s1,x2))
4981e054-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0020764805376529694, 0.37715908885002136, 0.620764434337616 ]
a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.
The woman is outdoors with a machine.
0
-100
A park imples being ourdoors.
exists e2 e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8.(a_topic(x1) & Theme(e2,x3) & Actor(e2,x2) & v_wear(e2) & exists e3 p1 x9.(n_thing(x9) & in(e1,x9) & Topic(e3,p1) & Actor(e3,x9) & v_appear(e3) & exists p2 x10.((x9 = x10) & n_park(x10))) & Theme(e1,x6) & Actor(e1,x5) & v_operate(e1) & of(x6,x7) & n_machine(x7) & of(x7,x8) & n_steel(x8) & a_stainless(s2) & Theme(s2,x7) & n_sort(x6) & (x3 = x5) & n_hat(x3) & of(x3,x4) & n_straw(x4) & a_chinese(s1) & Theme(s1,x3) & (x1 = x2) & n_woman(x1))
exists p1 x1.(n_woman(x1) & exists x2 x3.((x1 = x2) & with(x2,x3) & n_machine(x3) & n_outdoors(x2)))
4981e554-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9829660654067993, 0.016466230154037476, 0.0005677163717336953 ]
A woman on the side of a street is making food on her cart.
A child is wearing a bandana.
2
-100
A woman is not a child.
exists e1 x1 x2 x3 x4 x5.(n_cart(x5) & of(x5,x2) & n_female(x2) & n_side(x2) & on(e1,x5) & Theme(e1,x4) & Actor(e1,x1) & v_make(e1) & n_food(x4) & on(x1,x2) & of(x2,x3) & n_street(x3) & n_woman(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_wear(e1) & n_bandana(x2) & n_child(x1))
4981ea36-e4c8-11ec-9cdd-0242ac1c0002
[ 0.022838497534394264, 0.10635562986135483, 0.8708058595657349 ]
A woman on the side of a street is making food on her cart.
A person is cooking mexican food.
1
-100
Street vendors can produce food other than mexican food.
exists e1 x1 x2 x3 x4 x5.(n_cart(x5) & of(x5,x2) & n_female(x2) & n_side(x2) & on(e1,x5) & Theme(e1,x4) & Actor(e1,x1) & v_make(e1) & n_food(x4) & on(x1,x2) & of(x2,x3) & n_street(x3) & n_woman(x1))
exists e1 s1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_cook(e1) & n_food(x2) & a_mexican(s1) & Theme(s1,x2) & n_person(x1))
4981ef22-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004028687719255686, 0.9902536273002625, 0.005717679858207703 ]
A woman on the side of a street is making food on her cart.
A person is cooking.
0
-100
A woman is a person. Cooking is a way of making food.
exists e1 x1 x2 x3 x4 x5.(n_cart(x5) & of(x5,x2) & n_female(x2) & n_side(x2) & on(e1,x5) & Theme(e1,x4) & Actor(e1,x1) & v_make(e1) & n_food(x4) & on(x1,x2) & of(x2,x3) & n_street(x3) & n_woman(x1))
exists e1 x1.(Actor(e1,x1) & v_cook(e1) & n_person(x1))
4981f3f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9674568176269531, 0.03161780908703804, 0.0009253730531781912 ]
A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.
The man is wearing a blue shirt.
2
-100
A man can't be without a shirt and wearing a blue shirt.
exists e3 e1 e4 e2 s1 s2 s3 x1 x2 x3 x4 x5 x6 x7 x8.(n_ipod(x8) & of(x8,x7) & n_male(x7) & n_road(x6) & n_ipod(x4) & of(x4,x3) & n_male(x3) & n_road(x3) & while(e3,e4) & to(e4,x8) & Actor(e4,x5) & v_listen(e4) & a_down(s3) & Manner(e3,s3) & Theme(e3,x6) & Actor(e3,x5) & v_jog(e3) & -exists x9.(with(x5,x9) & n_shirt(x9)) & n_man(x5) & while(e1,e2) & to(e2,x4) & Actor(e2,x1) & v_listen(e2) & a_down(s2) & Manner(e1,s2) & Theme(e1,x3) & Actor(e1,x1) & v_jog(e1) & in(x1,x2) & n_shorts(x2) & a_blue(s1) & Theme(s1,x2) & n_man(x1))
exists e1 s1 x1 x2.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_wear(e1) & n_shirt(x2) & a_blue(s1) & Theme(s1,x2))
4981f8dc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000351001915987581, 0.003036763286218047, 0.9966122508049011 ]
A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.
The man is running.
0
-100
Jogging a kind of running.
exists e2 e3 e4 e1 s1 s2 s3 x1 x2 x3 x4 x5 x6 x7 x8.(n_ipod(x8) & of(x8,x7) & n_male(x7) & n_road(x6) & n_ipod(x4) & of(x4,x3) & n_male(x3) & n_road(x3) & while(e3,e4) & to(e4,x8) & Actor(e4,x5) & v_listen(e4) & a_down(s3) & Manner(e3,s3) & Theme(e3,x6) & Actor(e3,x5) & v_jog(e3) & -exists x9.(with(x5,x9) & n_shirt(x9)) & n_man(x5) & while(e1,e2) & to(e2,x4) & Actor(e2,x1) & v_listen(e2) & a_down(s2) & Manner(e1,s2) & Theme(e1,x3) & Actor(e1,x1) & v_jog(e1) & in(x1,x2) & n_shorts(x2) & a_blue(s1) & Theme(s1,x2) & n_man(x1))
exists e1 x1.(n_man(x1) & Actor(e1,x1) & v_run(e1))
49820016-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9832608103752136, 0.015559811145067215, 0.001179350889287889 ]
A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.
The man is wearing headphones.
1
-100
One can listen to one's iPod without headphones.
exists e3 e1 e2 e4 s1 s2 s3 x1 x2 x3 x4 x5 x6 x7 x8.(n_ipod(x8) & of(x8,x7) & n_male(x7) & n_road(x6) & n_ipod(x4) & of(x4,x3) & n_male(x3) & n_road(x3) & while(e3,e4) & to(e4,x8) & Actor(e4,x5) & v_listen(e4) & a_down(s3) & Manner(e3,s3) & Theme(e3,x6) & Actor(e3,x5) & v_jog(e3) & -exists x9.(with(x5,x9) & n_shirt(x9)) & n_man(x5) & while(e1,e2) & to(e2,x4) & Actor(e2,x1) & v_listen(e2) & a_down(s2) & Manner(e1,s2) & Theme(e1,x3) & Actor(e1,x1) & v_jog(e1) & in(x1,x2) & n_shorts(x2) & a_blue(s1) & Theme(s1,x2) & n_man(x1))
exists e1 x1 x2.(n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_wear(e1) & n_headphone(x2))
49820638-e4c8-11ec-9cdd-0242ac1c0002
[ 0.15034957230091095, 0.7823220491409302, 0.0673283040523529 ]
Women exercising one woman has a green mat and black outfit on.
The women are exercising.
0
-100
Women and exercising is repeated in both sentences.
exists e1 e2 s1 s2 s3 x1 x2 x3 x4 x5 x6.(a_on(s3) & Manner(e2,s3) & Theme(e2,x4) & Actor(e2,x1) & v_have(e2) & n_outfit(x6) & a_black(s2) & Theme(s2,x6) & n_mat(x5) & subset_of(x6,x4) & subset_of(x5,x4) & a_green(s1) & Theme(s1,x4) & Theme(e1,x3) & Actor(e1,x2) & v_exercise(e1) & n_woman(x3) & card_eq_1(x3) & (x1 = x2) & n_woman(x1))
exists e1 x1.(n_woman(x1) & Actor(e1,x1) & v_exercise(e1))
49820aac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9631754755973816, 0.03470049053430557, 0.0021240683272480965 ]
Women exercising one woman has a green mat and black outfit on.
The women are both dressing in green.
2
-100
A woman can't have a black outfit and be dressed in green.
exists e1 e2 s1 s2 s3 x1 x2 x3 x4 x5 x6.(a_on(s3) & Manner(e2,s3) & Theme(e2,x4) & Actor(e2,x1) & v_have(e2) & n_outfit(x6) & a_black(s2) & Theme(s2,x6) & n_mat(x5) & subset_of(x6,x4) & subset_of(x5,x4) & a_green(s1) & Theme(s1,x4) & Theme(e1,x3) & Actor(e1,x2) & v_exercise(e1) & n_woman(x3) & card_eq_1(x3) & (x1 = x2) & n_woman(x1))
exists e1 s1 x1 x2.(n_woman(x1) & a_both(s1) & Manner(e1,s1) & in(e1,x2) & n_green(x2) & Actor(e1,x1) & v_dress(e1))
49820f16-e4c8-11ec-9cdd-0242ac1c0002
[ 0.008913678117096424, 0.062342606484889984, 0.9287437796592712 ]
Women exercising one woman has a green mat and black outfit on.
The women are doing yoga.
1
-100
Women can exercise in ways other than yoga.
exists e2 e1 s1 s2 s3 x1 x2 x3 x4 x5 x6.(a_on(s3) & Manner(e2,s3) & Theme(e2,x4) & Actor(e2,x1) & v_have(e2) & n_outfit(x6) & a_black(s2) & Theme(s2,x6) & n_mat(x5) & subset_of(x6,x4) & subset_of(x5,x4) & a_green(s1) & Theme(s1,x4) & Theme(e1,x3) & Actor(e1,x2) & v_exercise(e1) & n_woman(x3) & card_eq_1(x3) & (x1 = x2) & n_woman(x1))
exists e1 x1 x2.(n_woman(x1) & Theme(e1,x2) & Actor(e1,x1) & v_do(e1) & n_yoga(x2))
4982138a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.07315240800380707, 0.9205233454704285, 0.006324190646409988 ]
Students practicing yoga in a class setting.
The students are taking a beginners' yoga class.
1
-100
There are other levels of yoga classes besides beginners'.
exists e1 x1 x2 x3 x4 x5.(a_topic(x1) & in(e1,x4) & n_setting(x4) & of(x4,x5) & n_class(x5) & Theme(e1,x3) & Actor(e1,x2) & v_practice(e1) & n_yoga(x3) & (x1 = x2) & n_student(x1))
exists e1 x1 x2 x3 x4.(n_student(x1) & Theme(e1,x3) & Actor(e1,x1) & v_take(e1) & n_class(x3) & of(x3,x4) & n_yoga(x4) & of(x3,x2) & n_beginner(x2))
498217fe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005146326031535864, 0.9935832619667053, 0.0012704420369118452 ]
Students practicing yoga in a class setting.
The students solve equations on the board.
2
-100
The students can't be practicing yoga and solving equations.
exists e1 x1 x2 x3 x4 x5.(a_topic(x1) & in(e1,x4) & n_setting(x4) & of(x4,x5) & n_class(x5) & Theme(e1,x3) & Actor(e1,x2) & v_practice(e1) & n_yoga(x3) & (x1 = x2) & n_student(x1))
exists e1 x1 x2 x3.(n_board(x3) & n_student(x1) & on(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_solve(e1) & n_equation(x2))
49821d4e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005486317604663782, 0.0008441747631877661, 0.999100923538208 ]
Students practicing yoga in a class setting.
A yoga class is in progress.
0
-100
Practicing implies class is in progress.
exists e1 x1 x2 x3 x4 x5.(a_topic(x1) & in(e1,x4) & n_setting(x4) & of(x4,x5) & n_class(x5) & Theme(e1,x3) & Actor(e1,x2) & v_practice(e1) & n_yoga(x3) & (x1 = x2) & n_student(x1))
exists p1 x1 x2.(exists x3.(in(x1,x3) & n_progress(x3)) & n_class(x1) & of(x1,x2) & n_yoga(x2))
49822244-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9228270053863525, 0.07577969133853912, 0.0013933345908299088 ]
People are stretching on yoga mats.
They stretched on yoga mats outside.
1
-100
People can stretch on yoga mats in places other than outside as well.
exists e1 x1 x2 x3.(on(e1,x2) & n_mat(x2) & of(x2,x3) & n_yoga(x3) & Actor(e1,x1) & v_stretch(e1) & n_people(x1))
exists e1 s1 x1 x2.(a_outside(s1) & Manner(e1,s1) & on(e1,x1) & n_mat(x1) & of(x1,x2) & n_yoga(x2) & Actor(e1,x1) & v_stretch(e1) & n_thing(x1))
49822d3e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.15787899494171143, 0.8376116752624512, 0.004509337712079287 ]
People are stretching on yoga mats.
The people stretched on yoga mats.
0
-100
People has to do stretching to be stretched.
exists e1 x1 x2 x3.(on(e1,x2) & n_mat(x2) & of(x2,x3) & n_yoga(x3) & Actor(e1,x1) & v_stretch(e1) & n_people(x1))
exists e1 x1 x2 x3.(n_people(x1) & on(e1,x2) & n_mat(x2) & of(x2,x3) & n_yoga(x3) & Actor(e1,x1) & v_stretch(e1))
498232c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9612388014793396, 0.0369122251868248, 0.0018489676294848323 ]
People are stretching on yoga mats.
They stretched on bikes.
2
-100
People can't stretch on yoga mats and bikes.
exists e1 x1 x2 x3.(on(e1,x2) & n_mat(x2) & of(x2,x3) & n_yoga(x3) & Actor(e1,x1) & v_stretch(e1) & n_people(x1))
exists e1 x1.(on(e1,x1) & n_bike(x1) & Actor(e1,x1) & v_stretch(e1) & n_thing(x1))
498237c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001708439231151715, 0.001698821084573865, 0.9981303811073303 ]
A group of people are doing yoga.
The people are doing yoga
0
-100
people implies a group.
exists e1 x1 x2 x3.(Theme(e1,x3) & Actor(e1,x1) & v_do(e1) & n_yoga(x3) & of(x1,x2) & n_people(x2) & n_group(x1))
exists e1 x1 x2.(n_people(x1) & Theme(e1,x2) & Actor(e1,x1) & v_do(e1) & n_yoga(x2))
49823c8e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9590108394622803, 0.03951755911111832, 0.0014715294819325209 ]
A group of people are doing yoga.
The people are working out
1
-100
People can be working out in other ways beside yoga.
exists e1 x1 x2 x3.(Theme(e1,x3) & Actor(e1,x1) & v_do(e1) & n_yoga(x3) & of(x1,x2) & n_people(x2) & n_group(x1))
exists e1 s1 x1.(n_people(x1) & a_out(s1) & Manner(e1,s1) & Actor(e1,x1) & v_work(e1))
49824148-e4c8-11ec-9cdd-0242ac1c0002
[ 0.5875659584999084, 0.4060641825199127, 0.006369882728904486 ]
A group of people are doing yoga.
The people are sleep.
2
-100
People can't do yoga and sleep.
exists e1 x1 x2 x3.(Theme(e1,x3) & Actor(e1,x1) & v_do(e1) & n_yoga(x3) & of(x1,x2) & n_people(x2) & n_group(x1))
exists p1 x1.(n_people(x1) & exists x2.((x1 = x2) & n_sleep(x2)))
49824616-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000048119862185558304, 0.0008336960454471409, 0.9991181492805481 ]
Motorcyclist performing while two men watch.
Two women are walking with strollers.
2
-100
Two men can't be two women. Walking with strollers isn't watching a motorcyclist perform.
exists e2 e1 s1 x1 x2 x3.(ne_nam_motorcyclist(s1) & a_topic(s1) & Theme(e2,x3) & Actor(e2,e1) & v_watch(e2) & (s1 = x3) & while(e1,x2) & n_man(x2) & card_eq_2(x2) & Actor(e1,x1) & v_perform(e1) & n_thing(x1))
exists e1 x1 x2.(with(e1,x2) & n_stroller(x2) & Actor(e1,x1) & v_walk(e1) & n_woman(x1) & card_eq_2(x1))
49824b34-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000284062756691128, 0.00027403736021369696, 0.999441921710968 ]
Motorcyclist performing while two men watch.
Men watching motorcyclist.
0
-100
two implies more than one
exists e2 e1 s1 x1 x2 x3.(ne_nam_motorcyclist(s1) & a_topic(s1) & Theme(e2,x3) & Actor(e2,e1) & v_watch(e2) & (s1 = x3) & while(e1,x2) & n_man(x2) & card_eq_2(x2) & Actor(e1,x1) & v_perform(e1) & n_thing(x1))
exists e1 x1 x2 x3.(a_topic(x1) & Theme(e1,x3) & Actor(e1,x2) & v_watch(e1) & n_motorcyclist(x3) & (x1 = x2) & n_man(x1))
498250b6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9585341811180115, 0.03995806723833084, 0.0015077362768352032 ]
Motorcyclist performing while two men watch.
Motorcylist performing in annual race.
1
-100
A motorcyclist can perform in races other than the annual race.
exists e2 e1 s1 x1 x2 x3.(ne_nam_motorcyclist(s1) & a_topic(s1) & Theme(e2,x3) & Actor(e2,e1) & v_watch(e2) & (s1 = x3) & while(e1,x2) & n_man(x2) & card_eq_2(x2) & Actor(e1,x1) & v_perform(e1) & n_thing(x1))
exists e1 s1 x1 x2.(ne_nam_motorcylist(x1) & in(e1,x2) & n_race(x2) & a_annual(s1) & Theme(s1,x2) & Actor(e1,x1) & v_perform(e1))
4982557a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0035051750019192696, 0.995189905166626, 0.001304964884184301 ]
The young man is waiting with others on the sidewalk.
The girls are climbing a tree
2
-100
A young man isn't girls. Waiting with others isn't climbing a tree.
exists e1 s1 x1 x2 x3 x4.(n_sidewalk(x4) & n_person(x3) & n_man(x1) & a_young(s1) & Theme(s1,x1) & on(e1,x4) & with(e1,x2) & -(x2 = x3) & n_person(x2) & Actor(e1,x1) & v_wait(e1))
exists e1 x1 x2.(n_girl(x1) & Theme(e1,x2) & Actor(e1,x1) & v_climb(e1) & n_tree(x2))
49825a2a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00027914714883081615, 0.0006296875071711838, 0.9990911483764648 ]
The young man is waiting with others on the sidewalk.
There is a young person talking with others near the bustop
1
-100
A person who is waiting is not necessarily talking. Not all sidewalks are near a bustop.
exists e1 s1 x1 x2 x3 x4.(n_sidewalk(x4) & n_person(x3) & n_man(x1) & a_young(s1) & Theme(s1,x1) & on(e1,x4) & with(e1,x2) & -(x2 = x3) & n_person(x2) & Actor(e1,x1) & v_wait(e1))
exists p1 x1 x5.(n_bustop(x5) & exists e1 s1 x2 x3 x4.((x1 = x2) & near(e1,x5) & with(e1,x4) & -(x4 = x2) & n_person(x2) & n_person(x4) & Actor(e1,x3) & v_talk(e1) & (x2 = x3) & n_person(x2) & a_young(s1) & Theme(s1,x2)))
49825eda-e4c8-11ec-9cdd-0242ac1c0002
[ 0.12429707497358322, 0.8673637509346008, 0.008339167572557926 ]
The young man is waiting with others on the sidewalk.
there is a group of people waiting outside
0
-100
others implies a group.
exists e1 s1 x1 x2 x3 x4.(n_sidewalk(x4) & n_person(x3) & n_man(x1) & a_young(s1) & Theme(s1,x1) & on(e1,x4) & with(e1,x2) & -(x2 = x3) & n_person(x2) & Actor(e1,x1) & v_wait(e1))
exists p1 x1 e1 s1 x2 x3 x4.((x1 = x2) & of(x2,x3) & a_outside(s1) & Manner(e1,s1) & Actor(e1,x4) & v_wait(e1) & (x3 = x4) & n_people(x3) & n_group(x2))
4982638a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9668212532997131, 0.03234352543950081, 0.0008351923897862434 ]
Two people pose for the camera.
People pose for a picture.
0
-100
People pose for a picture, because pictures are only taken with cameras.
exists e1 x1 x2.(n_camera(x2) & for(e1,x2) & Actor(e1,x1) & v_pose(e1) & n_people(x1) & card_eq_2(x1))
exists e1 x1 x2.(for(e1,x2) & n_picture(x2) & Actor(e1,x1) & v_pose(e1) & n_people(x1))
49826826-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9879232048988342, 0.011591935530304909, 0.0004848306125495583 ]
Two people pose for the camera.
People pose for a family picture.
1
-100
People posing for a photo are not necessarily family members.
exists e1 x1 x2.(n_camera(x2) & for(e1,x2) & Actor(e1,x1) & v_pose(e1) & n_people(x1) & card_eq_2(x1))
exists e1 x1 x2 x3.(for(e1,x2) & n_picture(x2) & of(x2,x3) & n_family(x3) & Actor(e1,x1) & v_pose(e1) & n_people(x1))
49826cd6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0010942368535324931, 0.9982690811157227, 0.00063662591855973 ]
Two people pose for the camera.
Two people are yelling.
2
-100
Two people can't pose for the camera and yell.
exists e1 x1 x2.(n_camera(x2) & for(e1,x2) & Actor(e1,x1) & v_pose(e1) & n_people(x1) & card_eq_2(x1))
exists e1 x1.(Actor(e1,x1) & v_yell(e1) & n_people(x1) & card_eq_2(x1))
49827712-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007492483709938824, 0.02362995222210884, 0.9756208062171936 ]
A man is sleeping on the grass.
The man is laying down to sleep
0
-100
A man usually lay down when they sleep.
(-x)
(-x)
49827e06-e4c8-11ec-9cdd-0242ac1c0002
[ 0.32980918884277344, 0.6651590466499329, 0.005031735636293888 ]
A man is sleeping on the grass.
The man is checking into a 4 star hotel
2
-100
if the man is checking in a 4 star hotel he is not sleeping on the grass.
exists e1 x1 x2.(n_grass(x2) & on(e1,x2) & Actor(e1,x1) & v_sleep(e1) & n_man(x1))
exists e1 x1 x2 x3.(n_man(x1) & into(e1,x2) & n_hotel(x2) & of(x2,x3) & n_star(x3) & n_date(x2) & a_date_day_04(x2) & a_date_day_04(x2) & Actor(e1,x1) & v_check(e1))
498282ca-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00011395305773476139, 0.009714326821267605, 0.9901717305183411 ]
A man is sleeping on the grass.
The man is sleeping on the grass because he is homeless
1
-100
Not all people sleeping on the grass are homeless.
(-x)
(-x)
49828784-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0002281073248013854, 0.9993842840194702, 0.0003875480324495584 ]
A white and brown dog is leaping through the air.
The white and brown dog is in the air.
0
-100
The dog is in the air, whether by leaping or other means.
(-x)
(-x)
49828c2a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9754230380058289, 0.023295072838664055, 0.0012818771647289395 ]
A white and brown dog is leaping through the air.
The dog is taking a nap.
2
-100
the dog is not leaping if it is taking a nap.
exists e1 s1 s2 x1 x2.(n_air(x2) & through(e1,x2) & Actor(e1,x1) & v_leap(e1) & n_dog(x1) & a_brown(s2) & Theme(s2,x1) & a_white(s1) & Theme(s1,x1))
exists e1 x1 x2.(n_dog(x1) & Theme(e1,x2) & Actor(e1,x1) & v_take(e1) & n_nap(x2))
498290c6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004358520163805224, 0.0005631360108964145, 0.9993932247161865 ]
A white and brown dog is leaping through the air.
The dog is catching a frisbee.
1
-100
Just because a dog is leaping doesn't mean he is catching a frisbee.
(-x)
(-x)
498297a6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0010161048267036676, 0.9815670251846313, 0.01741689257323742 ]
A row of legs and black boots with a boy sitting at the end of the row.
A young boy eats a sandwich.
2
-100
the boy may be sitting but it does not say he eats a sandwich.
exists e1 s1 x1 x2 x3 x4 x5 x6 x7.(n_end(x7) & a_topic(x1) & with(x1,x5) & at(e1,x7) & of(x7,x1) & n_row(x1) & n_row(x1) & Actor(e1,x6) & v_sit(e1) & (x5 = x6) & n_boy(x5) & of(x1,x2) & n_boot(x4) & a_black(s1) & Theme(s1,x4) & n_leg(x3) & subset_of(x4,x2) & subset_of(x3,x2))
exists e1 s1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_eat(e1) & n_sandwich(x2) & n_boy(x1) & a_young(s1) & Theme(s1,x1))
4982a02a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0016163160325959325, 0.3259681761264801, 0.6724154949188232 ]
A row of legs and black boots with a boy sitting at the end of the row.
A young boy sits on the ground in a family picture.
1
-100
A boy who is sitting isn't necessarily sitting on the ground. Not all pictures are a family picture.
(-x)
(-x)
4982a85e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.027131162583827972, 0.9455263614654541, 0.027342449873685837 ]
A row of legs and black boots with a boy sitting at the end of the row.
A boy sits at peoples feet.
0
-100
The boy is sitting at people's feet, because boots and legs imply people's feet.
(-x)
(-x)
4982ad72-e4c8-11ec-9cdd-0242ac1c0002
[ 0.49633321166038513, 0.41074103116989136, 0.09292580932378769 ]
A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.
A man is wearing blue.
0
-100
"A man is wearing blue " is a simpler explanation of the scene.
(x)
exists e1 p1 x1.(exists s1.(Theme(s1,x1) & a_blue(s1)) & Topic(e1,p1) & Actor(e1,x1) & v_wear(e1) & n_man(x1))
4982b240-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9840843081474304, 0.015337498858571053, 0.0005782007938250899 ]
A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.
The man is tired.
1
-100
Just because the man is lying down doesn't mean he is tired.
(-x)
(-x)
4982b6f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00814738217741251, 0.9904674887657166, 0.0013851295225322247 ]
A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.
The man is drinking a beer in a pub.
2
-100
if the man is drinking in a pub he can not lies on a patch of grass.
(-x)
(-x)
4982bbbe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00003994436337961815, 0.0012750778114423156, 0.9986849427223206 ]
Various people hanging around outside of a building.
The people are inside playing soccer.
2
-100
if the people are inside then they cannot be outside.
(-x)
(-x)
4982c208-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007844258652767166, 0.002393742324784398, 0.9975277781486511 ]
Various people hanging around outside of a building.
The people are on lunch break.
1
-100
Just because people are outside does not mean they are on lunch break.
(-x)
(-x)
4982c80c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000220301459194161, 0.9994751811027527, 0.0003045154153369367 ]
Various people hanging around outside of a building.
There are a group of people are standing outside.
0
-100
If they are outside a building, they are outside.
(-x)
(-x)
4982cd20-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9529585242271423, 0.04530870169401169, 0.0017327904934063554 ]
A little girl follows two guys with umbrellas down a path.
The people are outside.
0
-100
If they are going down a path, the girl and two guys are outside.
(-x)
(-x)
4982d1ee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.950616717338562, 0.048224322497844696, 0.0011589708738029003 ]
A little girl follows two guys with umbrellas down a path.
The little girl is riding a horse.
2
-100
the little girl can not follows two guys if she is riding a horse.
(-x)
(-x)
4982d694-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006936911377124488, 0.020326269790530205, 0.9789800643920898 ]
A little girl follows two guys with umbrellas down a path.
The people are walking home in the rain.
1
-100
People can walk places that are not home. Just because someone is holding an umbrella doesn't mean it's raining.
(-x)
(-x)
4982db3a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005076676607131958, 0.9935486912727356, 0.0013746771728619933 ]
A lady is on the floor packing a suitcase.
She is packing.
0
-100
She is a synonym for lady.
(-x)
(-x)
4982dfe0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9620121121406555, 0.03697560727596283, 0.001012295251712203 ]
A lady is on the floor packing a suitcase.
The girl is going on a trip.
1
-100
She may not be going on a trip, just packing for someone else.
(-x)
(-x)
4982e486-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0052848332561552525, 0.9930230379104614, 0.0016921202186495066 ]
A lady is on the floor packing a suitcase.
The woman is standing up unpacking.
2
-100
A woman can't be packing and unpacking at the same time.
(-x)
(-x)
4982ea6c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007071485160849988, 0.0022730992641299963, 0.9970197081565857 ]
Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.
A girl is running on the trail.
0
-100
A girl is running on the trail is a simpler explanation of the scene
(-x)
(-x)
4982ef4e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9842414259910583, 0.015103671699762344, 0.0006549095269292593 ]
Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.
A boy is hiking on the trail.
2
-100
if it is a little girl then it can not be a boy.
(-x)
(-x)
4982f3f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00015524259652011096, 0.0008344952366314828, 0.9990102052688599 ]
Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.
A girl is running downhill on the trail.
1
-100
A trail does not have to be downhill.
(-x)
(-x)
4982f8a4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.008283965289592743, 0.9900947213172913, 0.0016213031485676765 ]
Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.
3 people are walking along a path.
0
-100
3 people include the little girl, she walks along a grass path.
(-x)
(-x)
4982fd5e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9274805188179016, 0.059189409017562866, 0.01333011593669653 ]
Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.
2 people are on the path.
2
-100
A little girl behind two people means there is more than 2 people on the path.
(-x)
(-x)
4983020e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9475908875465393, 0.044892288744449615, 0.00751684233546257 ]
Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.
three people are walking along a path trying to get home before the storm hits.
1
-100
We have no idea if they are trying to get home or where they are doing. We have no idea if a storm hits or it could just be raining.
(-x)
(-x)
498306b4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003153196768835187, 0.9956211447715759, 0.0012257032794877887 ]
The blond woman is searching for medical supplies in a suitcase.
A blonde woman looks for things in a suitcase.
0
-100
Medical supplies are things
(-x)
(-x)
49830b50-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9756879806518555, 0.02323068119585514, 0.001081285998225212 ]
The blond woman is searching for medical supplies in a suitcase.
A blonde woman looks for medical supplies for work in a suitcase.
1
-100
A person looking for medical supplies may not need them for work.
(-x)
(-x)
49831136-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006930347997695208, 0.9925836324691772, 0.00048608172801323235 ]
The blond woman is searching for medical supplies in a suitcase.
A brunette woman checks her suitcase before boarding a plane.
2
-100
if the woman is blond then she can not be brunette.
(-x)
(-x)
4983160e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00010470388224348426, 0.002529625780880451, 0.9973656535148621 ]
Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.
A woman is packing for a trip.
1
-100
A person can fill a suitcase without it being for a trip.
(-x)
(-x)
49831ac8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.015233520418405533, 0.9837949275970459, 0.0009715348132885993 ]
Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.
A man is packing his golf clubs.
2
-100
if it is a woman then it cant be a man.
(-x)
(-x)
49831f78-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007803437620168552, 0.001711712102405727, 0.9982101917266846 ]
Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.
A woman is filling a suitcase.
0
-100
A woman is filling a suitcase is a simpler explanation of the scene
(-x)
(-x)
49832414-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9850150942802429, 0.014223390258848667, 0.0007614680216647685 ]
A young woman packs belongings into a black suitcase.
A young man packs belongings into a black trash bag.
2
-100
if it is a young woman then it can not be a young man.
(-x)
(-x)
498328ba-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006807452155044302, 0.000415115529904142, 0.9995168447494507 ]
A young woman packs belongings into a black suitcase.
A young woman distributes belongings into a black box.
1
-100
Not every suitcase is a box.
(-x)
(-x)
49832d56-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8629015684127808, 0.08868131786584854, 0.048417121171951294 ]
A young woman packs belongings into a black suitcase.
A young woman packs belongings into a black luggage carrier.
0
-100
A suitcase is a luggage carrier.
(-x)
(-x)
498331fc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9238927364349365, 0.0694487914443016, 0.006658427882939577 ]
People going for a long walk to the mountains.
The people are walking in a big group.
1
-100
People going for a long walk to the mountains are not necessarily in a big group.
(-x)
(-x)
498337a6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01056462898850441, 0.9875507950782776, 0.0018846009625121951 ]
People going for a long walk to the mountains.
The people are running towards the mountains.
2
-100
The people cannot be running and going for a walk simultaneously.
(-x)
(-x)
49833d78-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0016771956579759717, 0.020256759598851204, 0.9780660271644592 ]
People going for a long walk to the mountains.
The people are walking outdoors.
0
-100
The mountains are outdoors.
(-x)
(-x)
4983425a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9824801683425903, 0.01690838113427162, 0.0006114545394666493 ]
A man resting on a street.
A man sitting on a street.
1
-100
A man can rest on a street without sitting.
(-x)
(-x)
49834728-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8484317064285278, 0.14469870924949646, 0.006869615986943245 ]
A man resting on a street.
A man jogging on the street.
2
-100
A man cannot be resting and jogging at the same time.
(-x)
(-x)
49834c0a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00042400657548569143, 0.005883431527763605, 0.9936926364898682 ]
A man resting on a street.
A man resting on a street.
0
-100
It is the exact same sentence: a man resting on a street.
(-x)
(-x)
498350f6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9656809568405151, 0.032375309616327286, 0.0019436918664723635 ]
A woman in costume is marching with a large drum.
Highschool homcoming marching band is marching.
1
-100
A woman in costume marching with a large drum is not necessary part of a "highschool homcoming" marching band.
(-x)
(-x)
498355e2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003996721003204584, 0.9820730686187744, 0.013930186629295349 ]