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 woman in costume is marching with a large drum.
The drum lady drive a bus.
2
-100
A woman cannot be marching with a large drum and driving a bus at the same time.
(-x)
(-x)
49835b14-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004145697312196717, 0.0007952697342261672, 0.9991632699966431 ]
A woman in costume is marching with a large drum.
She plays in a band.
0
-100
If a woman wears a costume an marches with a large drum, she plays in a band.
(-x)
(-x)
49836208-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01277951430529356, 0.9853150844573975, 0.00190545164514333 ]
A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.
Someone is toting packages in an urban setting.
0
-100
Toting means carrying. Boxes are packages. Someone in the city streets is in an urban setting.
(-x)
(-x)
49836794-e4c8-11ec-9cdd-0242ac1c0002
[ 0.946877658367157, 0.052238114178180695, 0.0008841644739732146 ]
A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.
A young lad delivers groceries by bicycle in the city.
2
-100
Carrying a load on a car is not the same as delivering them by bicycle.
(-x)
(-x)
49836d48-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006295402534306049, 0.35468819737434387, 0.6390163898468018 ]
A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.
A man delivers groceries to shut-in seniors in the city.
1
-100
fresh direct boxes are not only groceries. Just because a man is carrying boxes does not mean he is delivering them to shut-in seniors.
(-x)
(-x)
49837234-e4c8-11ec-9cdd-0242ac1c0002
[ 0.001288107829168439, 0.981537938117981, 0.017173970118165016 ]
a motorcyclist does a nose wheelie.
A man doing a wheelie
0
-100
A motorcyclist is a man, a nose wheelie is a wheelie
(-x)
(-x)
49837702-e4c8-11ec-9cdd-0242ac1c0002
[ 0.23286482691764832, 0.7600420713424683, 0.00709307799115777 ]
a motorcyclist does a nose wheelie.
A man standing beside a crashed motorcycle
2
-100
A man cannot be doing a nose wheelie and standing beside a motorcycle at the same time.
(-x)
(-x)
49837bd0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007035535963950679, 0.0009819885017350316, 0.9989476799964905 ]
a motorcyclist does a nose wheelie.
A motorcyclist doing a wheelie
0
-100
A nose wheelie is a type of wheelie.
(-x)
(-x)
4983815c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.961474597454071, 0.03498697280883789, 0.003538450226187706 ]
A man sitting on a scooter on the curb.
A man is waiting for someone to fix his scooter.
1
-100
He may just be sitting. It is unlikely he is waiting for someone to fix his scooter.
(-x)
(-x)
49838724-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008040652028284967, 0.9976619482040405, 0.0015339854871854186 ]
A man sitting on a scooter on the curb.
A man is outside, near the street.
0
-100
One must have a street to have a curb. It is implied that since he is on the curb, he is outside.
(-x)
(-x)
49838c06-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9542233347892761, 0.045019350945949554, 0.0007572739850729704 ]
A man sitting on a scooter on the curb.
A man is relaxing at the bar.
2
-100
A man can't be sitting on a curb and relaxing at a bar at the same time.
(-x)
(-x)
498390ac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008282262133434415, 0.05059177428483963, 0.9485800266265869 ]
A man stopping on the sidewalk with his bike to have a smoke.
The man is playing basketball.
2
-100
A man cannot be playing basketball and having a smoke at the same time.
(-x)
(-x)
49839552-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005323840014170855, 0.0012676827609539032, 0.9986791014671326 ]
A man stopping on the sidewalk with his bike to have a smoke.
The man is standing.
0
-100
A man on the sidewalk with his bike is standing.
(-x)
(-x)
49839a66-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6602755188941956, 0.26310864090919495, 0.07661588490009308 ]
A man stopping on the sidewalk with his bike to have a smoke.
The man is lighting a cigarette.
1
-100
A man stopping to have a smoke is not necessarily lighting a cigarette; it could already be lit, or he could be smoking something else.
(-x)
(-x)
49839ebc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.055446211248636246, 0.9412257671356201, 0.0033279741182923317 ]
A man is sitting on a motorcycle on the sidewalk.
A man is sitting on a motorcycle.
0
-100
A man sitting on a motorcycle on the sidewalk is still on a motorcycle.
(-x)
(-x)
4983a312-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9795265793800354, 0.01879374496638775, 0.0016796041745692492 ]
A man is sitting on a motorcycle on the sidewalk.
A man is sitting on a motorcycle and drives away.
1
-100
A man sitting on a motorcycle on the sidewalk is not necessarily driving away.
(-x)
(-x)
4983a768-e4c8-11ec-9cdd-0242ac1c0002
[ 0.011416218243539333, 0.4965078830718994, 0.4920758605003357 ]
A man is sitting on a motorcycle on the sidewalk.
A man in black is playing with his cat on Sunday.
2
-100
A man cannot be sitting on a motorcycle and playing with his cat simultaneously.
(-x)
(-x)
4983acc2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00009897521522361785, 0.005154264159500599, 0.994746744632721 ]
Man smokes while sitting on a parked scooter.
A man smokes a cigarette while sitting on his scooter.
1
-100
A man can smoke something besides a cigarette.
(-x)
(-x)
4983b226-e4c8-11ec-9cdd-0242ac1c0002
[ 0.041576121002435684, 0.9573853015899658, 0.0010385675122961402 ]
Man smokes while sitting on a parked scooter.
The man drinks a beer while sitting in his car.
2
-100
A man cannot be sitting on a car and scooter at the same time. A man cannot be smoking and drinking a beer simultaneously.
(-x)
(-x)
4983b6e0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000046296700020320714, 0.0004052952863276005, 0.9995483756065369 ]
Man smokes while sitting on a parked scooter.
The man is smoking something while sitting on the scooter.
0
-100
If a man is smoking and sitting on scooter, it must be parked.
(-x)
(-x)
4983bb90-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8302686214447021, 0.16859005391597748, 0.001141352578997612 ]
Man on the sidewalk sitting on a motorcycle.
A man on the motorcycle
1
-100
None - all of the information can be inferred.
(-x)
(-x)
4983c02c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9137337803840637, 0.06974819302558899, 0.01651800610125065 ]
Man on the sidewalk sitting on a motorcycle.
Man sitting on a motorcycle on the sidewalk
0
-100
A man on the sidewalk sitting on a motorcycle is equivalent to a man sitting on a motorcycle on the sidewalk
(-x)
(-x)
4983c4f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9606340527534485, 0.0381774865090847, 0.0011884716805070639 ]
Man on the sidewalk sitting on a motorcycle.
A man driving his car
2
-100
A man cannot be sitting on a motorcycle and driving his car simultaneously.
(-x)
(-x)
4983c946-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00011717314919224009, 0.0011921602999791503, 0.998690664768219 ]
A couple, wearing black, burgundy, and white, dance.
The woman danced alone.
2
-100
A woman cannot dance alone and dance as part of a couple at the same time.
(-x)
(-x)
4983cd92-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00009829939517658204, 0.0006884865579195321, 0.9992132186889648 ]
A couple, wearing black, burgundy, and white, dance.
The couple danced.
0
-100
It is in their nature for a couple to dance.
(-x)
(-x)
4983d2b0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9789753556251526, 0.019516531378030777, 0.001507992623373866 ]
A couple, wearing black, burgundy, and white, dance.
The couple danced in the competition.
1
-100
Just because a couple is dancing does not mean that it is in a competition.
(-x)
(-x)
4983d76a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003270338987931609, 0.9916018843650818, 0.005127711687237024 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People are running for a charity.
1
0.121639
Not all races are for charity.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 x1 x2.(for(e1,x2) & n_charity(x2) & Actor(e1,x1) & v_run(e1) & n_people(x1))
4983dbe8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006228125188499689, 0.9929578304290771, 0.0008140225545503199 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
the runners waited to start the olympic race
1
0.000032
Not all races are olympic, and not all people in that clothing are runners.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 p1 s1 x1 x2.(n_race(x2) & a_olympic(s1) & Theme(s1,x2) & n_runner(x1) & Topic(e1,p1) & Actor(e1,x1) & v_wait(e1) & exists e2.(Theme(e2,x2) & Actor(e2,x1) & v_start(e2)))
4983e03e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0017788567347452044, 0.9963011741638184, 0.0019199105445295572 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People wearing pink and purple get ready for a race
2
-100
People are either wearing pink and purple, or they are wearing orange vests and blue pants with a yellow stripe.
(-x)
(-x)
4983e48a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00032307521905750036, 0.0024377338122576475, 0.9972391128540039 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People wearing their bright team uniforms await the pistol that signifies the start of their race
1
0.291523
Not all races start with the pistol.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7 x8.(n_start(x7) & n_pistol(x5) & Theme(e3,x5) & Actor(e3,x1) & v_await(e3) & Theme(e2,x7) & Actor(e2,x6) & v_signify(e2) & of(x7,x8) & n_race(x8) & of(x8,x1) & n_thing(x1) & n_thing(x1) & (x5 = x6) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_uniform(x3) & of(x3,x4) & n_team(x4) & a_bright(s1) & Theme(s1,x3) & of(x3,x1) & (x1 = x2) & n_people(x1))
4983e8ea-e4c8-11ec-9cdd-0242ac1c0002
[ 0.07216805219650269, 0.922427773475647, 0.0054041361436247826 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People are having a cook off.
2
-100
People would not have a cook off during a race
(-x)
(-x)
4983ed4a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005617730785161257, 0.2295084446668625, 0.7648738622665405 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People in orange vests await the beginning of a race to win first prize.
1
0.651397
Not everyone in a race necessarily wants to win first prize.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 p1 x1 x2 x3 x4 x5.(n_beginning(x4) & Theme(e1,x4) & Actor(e1,x1) & v_await(e1) & of(x4,x5) & Topic(x5,p1) & exists e2 s1 x6.(Theme(e2,x6) & Actor(e2,x5) & v_win(e2) & n_prize(x6) & a_first(s1) & Theme(s1,x6)) & n_race(x5) & in(x1,x2) & n_vest(x2) & of(x2,x3) & n_orange(x3) & n_people(x1))
4983f196-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004906574031338096, 0.9983394145965576, 0.0011699646711349487 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People wait for a race to begin.
0
0.973947
People have to wait before a race begins.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 p1 x1 x2.(for(e1,x2) & n_race(x2) & Topic(e1,p1) & Actor(e1,x1) & v_wait(e1) & exists e2.(Actor(e2,x1) & v_begin(e2)) & n_people(x1))
4983f600-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9811014533042908, 0.017980046570301056, 0.0009185036760754883 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
The people waiting are part of the race.
1
0.837958
Not everyone awaiting a race is part of the race.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 p1 x1 x2 x4.(n_race(x4) & n_people(x1) & exists x3.((x1 = x3) & of(x3,x4) & n_part(x3)) & Actor(e1,x2) & v_wait(e1) & (x1 = x2))
4983fc72-e4c8-11ec-9cdd-0242ac1c0002
[ 0.3941009044647217, 0.6027591824531555, 0.0031398662831634283 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
the athlete backflips off of a mountain
2
-100
There would be either people or A athlete.
(-x)
(-x)
4984019a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00021462005679495633, 0.008998303674161434, 0.9907870888710022 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People in orange vests are racing in a race that has started.
2
-100
Cannot be wiating to race and racing at the same time
(-x)
(-x)
49840622-e4c8-11ec-9cdd-0242ac1c0002
[ 0.1945721060037613, 0.44831618666648865, 0.35711175203323364 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People in orange vests await the beginning of a race.
0
-100
People wear orange vests before the beginning of a race.
(-x)
(-x)
49840a8c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.975569486618042, 0.021488836035132408, 0.002941583748906851 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People are wearing colorful clothes
0
-100
People wear colorful clothes before the beginning of a race.
(-x)
(-x)
49840ef6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8940015435218811, 0.1036832258105278, 0.0023151454515755177 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People are racing backwards through Hell.
2
0
People cannot await a race and be racing at the same time.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_beginning(x8) & n_bottom(x7) & Theme(e1,x8) & Actor(e1,x1) & v_await(e1) & of(x8,x9) & n_race(x9) & subset_of(x5,x1) & with(x5,x6) & at(x6,x7) & n_stripe(x6) & a_yellow(s2) & Theme(s2,x6) & n_pants(x5) & a_blue(s1) & Theme(s1,x5) & subset_of(x2,x1) & in(x2,x3) & n_vest(x3) & of(x3,x4) & n_orange(x4) & n_people(x2))
exists e1 x1 x2 x3.(ne_nam_hell(x3) & through(e1,x3) & Theme(e1,x2) & Actor(e1,x1) & v_race(e1) & n_backward(x2) & n_people(x1))
49841374-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0005866658757440746, 0.05696839094161987, 0.942444920539856 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
People are waiting for a race.
0
-100
await the beginning of a race is a rephrasing of waiting for a race
(-x)
(-x)
498417e8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9712042808532715, 0.027678877115249634, 0.0011168529745191336 ]
People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.
the runners waited to start the race
0
-100
runners have to wait before the beginning of a race.
(-x)
(-x)
49841c52-e4c8-11ec-9cdd-0242ac1c0002
[ 0.5553351044654846, 0.4331947863101959, 0.011470073834061623 ]
A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.
They movie is very loud in the background.
1
-100
Not every movie is very loud.
(-x)
(-x)
498424c2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.024439271539449692, 0.919762134552002, 0.05579862743616104 ]
A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.
The people dance on the sidewalk.
2
-100
There wouldn't be a carpeted floor where there'd be a sidewalk
(-x)
(-x)
49842d28-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003291219472885132, 0.02608136460185051, 0.9706274271011353 ]
A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.
The two people are dancing.
0
-100
the man and the lady are two people and they are dancing.
(-x)
(-x)
4984362e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9780639410018921, 0.020813513547182083, 0.0011226129718124866 ]
The skier is wearing a yellow jumpsuit and sliding across a yellow rail.
The skier is in a competition.
1
-100
Not every skier is in a competition.
(-x)
(-x)
49843bb0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0026022745296359062, 0.9967669248580933, 0.0006307701696641743 ]
The skier is wearing a yellow jumpsuit and sliding across a yellow rail.
The skier is wearing a jumpsuit.
0
-100
Both subjects are wearing
(-x)
(-x)
49844042-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9835774898529053, 0.014662865549325943, 0.001759555540047586 ]
The skier is wearing a yellow jumpsuit and sliding across a yellow rail.
The skateboard is wearing a blue jumpsuit.
2
-100
If you are a skiier you are skiing, if you are a skateboard you are a skateboard.
(-x)
(-x)
49844524-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00017184439639095217, 0.004450048319995403, 0.9953781366348267 ]
A track event held by J.P. Morgan Chase with security.
J.P. Morgan Chase held a track event.
0
-100
'J.P. Morgan Chase held a track event' is a rephrasing of 'A track event held by J.P. Morgan Chase'.
(-x)
(-x)
49844c40-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9944140911102295, 0.004571343306452036, 0.0010145073756575584 ]
A track event held by J.P. Morgan Chase with security.
The track event has no security.
2
-100
The event cannot simultaneously have security and have no security
(-x)
(-x)
498451ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0000931085814954713, 0.00048094053636305034, 0.9994258880615234 ]
A track event held by J.P. Morgan Chase with security.
Security guards are searching for weapons at a track event.
1
-100
We have no idea if they are searching for weapons they could be doing anything.
(-x)
(-x)
49845686-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0035962245892733335, 0.9810716509819031, 0.015332161448895931 ]
Two people dancing, wearing dance costumes.
The couple are dancing together.
1
-100
Not all dancers dance together.
(-x)
(-x)
49845b36-e4c8-11ec-9cdd-0242ac1c0002
[ 0.13133504986763, 0.8625333905220032, 0.006131563801318407 ]
Two people dancing, wearing dance costumes.
The people are moving.
0
-100
Dancing is moving.
(-x)
(-x)
498460ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9651252627372742, 0.034088149666786194, 0.0007865587831474841 ]
Two people dancing, wearing dance costumes.
Two people are eating dinner.
2
-100
People should not be eating and dancing at the same time.
(-x)
(-x)
4984661c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008976030221674591, 0.0004658977850340307, 0.9994444251060486 ]
An english farmer with a horse pulled wagon.
There is a farmer laying down outdoors
2
-100
The farmer would not be laying down while with a pulled wagon
(-x)
(-x)
49846aea-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03523930907249451, 0.28683415055274963, 0.6779265999794006 ]
An english farmer with a horse pulled wagon.
There is a farmer with a horse wagon
0
-100
Horse pulled horse wagons.
(-x)
(-x)
498471c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9738420248031616, 0.023574259132146835, 0.0025836722925305367 ]
An english farmer with a horse pulled wagon.
There is a farmer riding a wagon outdoors
1
-100
Not all wagons are outdoors.
(-x)
(-x)
4984771a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7561243176460266, 0.2393878996372223, 0.004487794358283281 ]
Children's soccer game being played while the sun sets in the background.
Old men playing soccer while the sun sets.
2
-100
Old Men wouldn't be playing soccer at a children's soccer Game
(-x)
(-x)
49847bde-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00012976647121831775, 0.002111161593347788, 0.9977591037750244 ]
Children's soccer game being played while the sun sets in the background.
Children playing soccer while the sun sets.
0
-100
Children soccer game implies that children are playing soccer. While the sun sets denotes that this activity is done while the sun is setting.
(-x)
(-x)
4984808e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9748685359954834, 0.024136453866958618, 0.0009950752137228847 ]
Children's soccer game being played while the sun sets in the background.
Girls playing soccer while the sun sets.
1
-100
Not all children are girls.
(-x)
(-x)
49848570-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00895714107900858, 0.962367832660675, 0.02867504209280014 ]
A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.
No one is playing soccer.
2
-100
A soccer game cannot be played by no one.
(-x)
(-x)
49848ac0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00012700374645646662, 0.0003406826581340283, 0.9995323419570923 ]
A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.
People are playing soccer for a competition.
1
-100
A game played dusk does not mean that the people are playing currently. A perfectly manicured field does not mean that the soccer match must be for a competition.
(-x)
(-x)
49848ffc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0052512758411467075, 0.9942810535430908, 0.00046768656466156244 ]
A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.
People are playing soccer.
0
-100
the word team denotes that People in the teams are playing a soccer game.
(-x)
(-x)
49849524-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9803271889686584, 0.01901327073574066, 0.000659408513456583 ]
Two soccer teams are competing on a soccer field.
Two skilled soccer teams are competing against one another for the championship.
1
-100
Not all soccer teams are considered skilled. Two teams competing does not mean that the game must be a championship.
(-x)
(-x)
49849c18-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004548267927020788, 0.9948447942733765, 0.0006069708615541458 ]
Two soccer teams are competing on a soccer field.
There is a soccer game.
0
-100
in order for soccer teams to compete it is assumed they are playing a soccer game.
(-x)
(-x)
4984a122-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9178948402404785, 0.0806354507803917, 0.0014696893049404025 ]
Two soccer teams are competing on a soccer field.
Two baseball teams are competing.
2
-100
There is either two soccer teams or two baseball teams.
(-x)
(-x)
4984a5fa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006856695108581334, 0.0007512136362493038, 0.9991801381111145 ]
Soccer teams play on a field as the sun sets behind a line of trees.
Soccer teams are competing outdoors.
0
-100
One must be outside to be behind a line of trees. One must play to compete.
(-x)
(-x)
4984aab4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7194204926490784, 0.2779686450958252, 0.0026108811143785715 ]
Soccer teams play on a field as the sun sets behind a line of trees.
A football team is playing hockey against a soccer team in an ice rink.
2
-100
A soccer team can't be playing another soccer team while also playing hockey against a football team.
(-x)
(-x)
4984af6e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000048433248593937606, 0.001023117103613913, 0.9989283680915833 ]
Soccer teams play on a field as the sun sets behind a line of trees.
A soccer team is about to win a soccer game.
1
-100
The soccer team may not be about to win; many games end in ties.
(-x)
(-x)
4984b414-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003700164146721363, 0.9953246116638184, 0.000975227914750576 ]
two men serving preparing food.
Two men riding bikes.
2
-100
The two men can either be preparing food or riding bikes.
(-x)
(-x)
4984b8ba-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00018451560754328966, 0.00029326052754186094, 0.9995222091674805 ]
two men serving preparing food.
Two men wearing aprons.
1
-100
The two mean can serve and prepare food without wearing aprons.
(-x)
(-x)
4984bf9a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.035430315881967545, 0.9602330923080444, 0.004336513113230467 ]
two men serving preparing food.
Two men serving food.
0
-100
two men serving prepared food, shows that the food is served by the two men.
(-x)
(-x)
4984c512-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9320506453514099, 0.05721961706876755, 0.010729668661952019 ]
A soccer game occurring at sunset.
a sports game is being played
0
-100
a soccer game is a sports game and when it is occurring one assumes the game is being played.
(-x)
(-x)
4984c9d6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9590480327606201, 0.03972940146923065, 0.0012225732207298279 ]
A soccer game occurring at sunset.
the world cup is being played
1
-100
Soccer games can be played at times other than the World Cup. Also occurring at sunset does not mean that the game is being played currently.
(-x)
(-x)
4984cea4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006569402758032084, 0.9956223368644714, 0.0037207058630883694 ]
A soccer game occurring at sunset.
a basketball game is ocurring at sunrise
2
-100
Either a soccer game or basketball game can be occurring. Also, the game cannot be at both sunset and sunrise.
(-x)
(-x)
4984d354-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008418000652454793, 0.0014043108094483614, 0.9985114932060242 ]
White small child wearing a brown and gray striped hoodie plays at park.
A small child is playing video games in his bedroom.
2
-100
The small child can't be playing video games while he also plays at the park.
(-x)
(-x)
4984d822-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007315169204957783, 0.0003714379563461989, 0.9995554089546204 ]
White small child wearing a brown and gray striped hoodie plays at park.
A child plays at a park.
0
-100
A small child is a type of child.
(-x)
(-x)
4984ddc2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9794113039970398, 0.01983809657394886, 0.000750575156416744 ]
White small child wearing a brown and gray striped hoodie plays at park.
A small boy is playing tag at a park with his friends.
1
-100
The child is not shown to be with anyone; he may not be playing tag with friends.
(-x)
(-x)
4984e2f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006226524128578603, 0.9982983469963074, 0.001079046749509871 ]
A little boy in brown pants is playing on ropes at a park.
There is a little boy in brown pants.
0
-100
the little boy in brown pants occurs in both sentences whatever he happens to be doing.
(-x)
(-x)
4984ea60-e4c8-11ec-9cdd-0242ac1c0002
[ 0.993127703666687, 0.006037579383701086, 0.0008348171249963343 ]
A little boy in brown pants is playing on ropes at a park.
There is a little girl in red pants.
2
-100
It must be either a litte girl or a little boy playing on the ropes at the park. The little child cannot be wearing both red pants and brown pants.
(-x)
(-x)
4984ef9c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006850259524071589, 0.0005088203470222652, 0.9994226694107056 ]
A little boy in brown pants is playing on ropes at a park.
There is a little boy who likes the color brown.
1
-100
The boy wearing brown pants does not mean that he likes the color brown necessarily.
(-x)
(-x)
4984f474-e4c8-11ec-9cdd-0242ac1c0002
[ 0.07488568127155304, 0.9215108156204224, 0.003603476332500577 ]
Toddler in striped sweatshirt plays on rope on playground.
A child takes a break from school.
1
-100
It is not necessarily true that the kids tries to break from school.
(-x)
(-x)
4984f942-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0021197297610342503, 0.9941962957382202, 0.0036839505191892385 ]
Toddler in striped sweatshirt plays on rope on playground.
A child is napping.
2
-100
A child cannot be napping while he plays.
(-x)
(-x)
4984fdfc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004573547630570829, 0.0004314403631724417, 0.9995228052139282 ]
Toddler in striped sweatshirt plays on rope on playground.
A child plays on a playground.
0
-100
Toddler and child are equivalent as part of the activity on the playground.
(-x)
(-x)
498502b6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9798250794410706, 0.019338248297572136, 0.0008367231348529458 ]
A woman wearing a pink hat is looking at a pink car with the truck open.
The woman is wearing clothes.
-1
-100
(x)
(x)
498507d4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.921872079372406, 0.07676071673631668, 0.0013672250788658857 ]
A woman wearing a pink hat is looking at a pink car with the truck open.
The woman is wondering if she left her car open.
1
-100
The woman looking at a pink car does not mean that she must be wondering about it. A pink car does not mean that the car must be her car.
(-x)
(-x)
49850e00-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004033451434224844, 0.9935072660446167, 0.0024592927657067776 ]
A woman wearing a pink hat is looking at a pink car with the truck open.
The woman is wearing a grocery bag to her car.
2
-100
The woman cannot be wearing both a pink hat and a grocery bag.
(-x)
(-x)
498513e6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0025093089789152145, 0.7475312948226929, 0.24995934963226318 ]
A man in a blue shirt is looking up.
A man in a blue shirt is looking up at a dog.
1
-100
A man looking up doesn't imply he is looking up at a dog.
(-x)
(-x)
49851896-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004521308292169124, 0.9986191987991333, 0.0009287049761041999 ]
A man in a blue shirt is looking up.
A man in a red shirt is looking up.
2
-100
the man can't be wearing a red shirt while also wearing a blue shirt.
(-x)
(-x)
49851d28-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007585229468531907, 0.0008368920534849167, 0.9990872144699097 ]
A man in a blue shirt is looking up.
A person looks up.
0
-100
A man is a person and is therefore looking up.
(-x)
(-x)
498521ec-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9893220663070679, 0.010301904752850533, 0.00037605149555020034 ]
Three girls on an amusement ride enjoying themselves.
There are three girls
0
-100
The three girls appear in both sentences whatever they happen to be doing
(-x)
(-x)
49852638-e4c8-11ec-9cdd-0242ac1c0002
[ 0.990562915802002, 0.008501969277858734, 0.0009350934997200966 ]
Three girls on an amusement ride enjoying themselves.
The girls are at home
2
-100
The three girls cannot be both on an amusement ride and be at home at the same time.
(-x)
(-x)
49852a8e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0000516922191309277, 0.0005463671986944973, 0.9994019269943237 ]
Three girls on an amusement ride enjoying themselves.
The girls like amusment parks
1
-100
Girls enjoying a particular ride at an amusement park does not mean that they like amusement parks as a whole.
(-x)
(-x)
49852f2a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.428377628326416, 0.568325936794281, 0.003296380862593651 ]
Woman at Walmart check-out having her groceries bagged by an employee.
The woman bought unhealthy food
1
-100
Not all food from Walmart is unhealthy food.
(-x)
(-x)
4985342a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0015162948984652758, 0.9892338514328003, 0.009249838069081306 ]
Woman at Walmart check-out having her groceries bagged by an employee.
The woman is in Target
2
-100
The woman must be at either Walmart or Target, but not both.
(-x)
(-x)
498538a8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004836633743252605, 0.00299827684648335, 0.9965181350708008 ]
Woman at Walmart check-out having her groceries bagged by an employee.
A woman is in Walmart
0
-100
the woman is in Walmart whatever she happens to be doing.
(-x)
(-x)
49853cf4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9790157079696655, 0.0198659710586071, 0.0011183209717273712 ]
Brown dog treads through water.
Brown dog is sleeping next to the water
2
-100
The brown dog must be either treading through water or sleeping next to the water.
(-x)
(-x)
49854140-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004940689177601598, 0.0009419646812602878, 0.9990085959434509 ]
Brown dog treads through water.
Brown dog treads through water as he is soaked in water
0
-100
There is a brown dog who treads through water in each sentence whatever else he my be doing or feeling.
(-x)
(-x)
49854690-e4c8-11ec-9cdd-0242ac1c0002
[ 0.1285001039505005, 0.8677467703819275, 0.0037531517446041107 ]
Brown dog treads through water.
Brown dog treads through water as he swims towards shore
1
-100
A brown dog can tread water at times other than when he swims towards shore.
(-x)
(-x)
49854b5e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005266313906759024, 0.9937957525253296, 0.00093789619859308 ]
A woman is waiting with children as she is checked out at Walmart.
A woman is standing at the counter at Target.
2
-100
The woman cannot be checked out at Walmart and standing at the counter at Target.
(-x)
(-x)
49854fa0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0003224884276278317, 0.0024062085431069136, 0.9972712397575378 ]
A woman is waiting with children as she is checked out at Walmart.
A woman has children with her at the check out counter.
0
-100
the woman and the children are at the check out counter.
(-x)
(-x)
498553e2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9675518870353699, 0.031203487887978554, 0.0012446463806554675 ]