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 a dress hanging laundry up on a clothesline outside in her yard.
A woman is taking clothes off a clothesline.
2
-100
One is not hanging laundry up and taking clothes off a clothesline simultaneously.
(-x)
(-x)
7c0a0ae2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005989097524434328, 0.07254849374294281, 0.9214624166488647 ]
A woman in a dress hanging laundry up on a clothesline outside in her yard.
A woman is hanging up her unmentionables on a clothesline.
1
-100
A woman hanging laundry up on a clothesline is not necessarily hanging up her unmentionables.
(-x)
(-x)
7c0a0f92-e4c8-11ec-9cdd-0242ac1c0002
[ 0.04230997711420059, 0.9424641132354736, 0.015225974842905998 ]
A woman in a dress hanging laundry up on a clothesline outside in her yard.
A woman is drying clothes on a clothesline.
0
-100
The woman is hanging up laundry on a clothesline so she must be drying clothes.
(-x)
(-x)
7c0a1442-e4c8-11ec-9cdd-0242ac1c0002
[ 0.27407172322273254, 0.7167481184005737, 0.009180200286209583 ]
A woman is looking at the ceiling while taking off her hat.
Mike went home.
2
-100
A woman is not named Mike. If Mike went home he is on his way so he cannot be looking at a ceiling at the same time.
(-x)
(-x)
7c0a1988-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003693901700899005, 0.09052681922912598, 0.905779242515564 ]
A woman is looking at the ceiling while taking off her hat.
Gladys took off her hat while she was looking up at the ceiling.
0
-100
Gladys refers to a woman.
(-x)
(-x)
7c0a1e60-e4c8-11ec-9cdd-0242ac1c0002
[ 0.39454352855682373, 0.5987813472747803, 0.006675105541944504 ]
A woman is looking at the ceiling while taking off her hat.
Gladys took off her hat.
1
-100
Not all women are named Gladys.
(-x)
(-x)
7c0a245a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.1523064523935318, 0.8337596654891968, 0.01393391378223896 ]
A female swimmer in a blue cap swimming underwater.
The girl is a competitive swimmer.
1
-100
A girl is in a water competition
(-x)
(-x)
7c0a296e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003627401078119874, 0.9955325126647949, 0.0008400442311540246 ]
A female swimmer in a blue cap swimming underwater.
The girl is in the locker room drying her hair.
2
-100
if the girls are swimming underwater they are not drying their hair
(-x)
(-x)
7c0a2ebe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000053655861847801134, 0.00048104143934324384, 0.9994654059410095 ]
A female swimmer in a blue cap swimming underwater.
The girl is swimming.
0
-100
Both subjects are swimming
(-x)
(-x)
7c0a335a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9724288582801819, 0.026399463415145874, 0.0011716486187651753 ]
A woman in a dress raises her arm over her head.
A woman raises her arm above her head.
0
-100
arm over her head can also be said as arm above her head.
(-x)
(-x)
7c0a3800-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9826462268829346, 0.01625363714993, 0.001100231776945293 ]
A woman in a dress raises her arm over her head.
A man put his hand down to kill a fly.
2
-100
A woman is not a man. If a person raises their arm their hand cannot be down simultaneously.
(-x)
(-x)
7c0a3cc4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00009043385944096372, 0.0005432188045233488, 0.9993663430213928 ]
A woman in a dress raises her arm over her head.
A woman in class raised her hand to ask a question
1
-100
A woman raises her arm over her head not necessarily to ask a question.
(-x)
(-x)
7c0a439a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003910406958311796, 0.9913698434829712, 0.004719751421362162 ]
A woman looking upward with her hand above her head.
A woman is stargazing.
1
-100
A woman looking upward with her hand above her head is not necessarily stargazing.
(-x)
(-x)
7c0a48ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.009083772078156471, 0.9815588593482971, 0.009357425384223461 ]
A woman looking upward with her hand above her head.
A woman is looking up.
0
-100
woman looking upward can also be said as woman is looking up.
(-x)
(-x)
7c0a4dc2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9815705418586731, 0.0177187230437994, 0.0007107537239789963 ]
A woman looking upward with her hand above her head.
A woman is looking at the ground.
2
-100
Upward is not on the ground.
(-x)
(-x)
7c0a5268-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003312122542411089, 0.004857358057051897, 0.9918305277824402 ]
A baseball player is following through with an action nearby a teammate.
Two baseball players are cooperating.
0
-100
Cooperating and following through have similar meaning.
(-x)
(-x)
7c0a56f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.792500376701355, 0.19969910383224487, 0.007800515741109848 ]
A baseball player is following through with an action nearby a teammate.
Two players on the Twins make a double play.
1
-100
Players are enjoying a baseball
(-x)
(-x)
7c0a5b82-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003690303536131978, 0.9661798477172852, 0.030129864811897278 ]
A baseball player is following through with an action nearby a teammate.
There is only one player in todays baseball game.
2
-100
if the player has a teammate there must be more than one player
(-x)
(-x)
7c0a6118-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006997747696004808, 0.003865158883854747, 0.9954350590705872 ]
A woman in a brown shirt is singing into two microphones.
A woman is using two microphones while singing.
0
-100
woman is using two microphones shows that woman singing into two microphones.
(-x)
(-x)
7c0a6730-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9680142402648926, 0.03034971095621586, 0.0016360589070245624 ]
A woman in a brown shirt is singing into two microphones.
Both of the microphones are set at a low volume.
1
-100
A woman singing into two microphones not necessarily has microphones set at a low volume.
(-x)
(-x)
7c0a6c08-e4c8-11ec-9cdd-0242ac1c0002
[ 0.009249054826796055, 0.9788468480110168, 0.011904030106961727 ]
A woman in a brown shirt is singing into two microphones.
A woman is preaching about Jesus using a CB radio.
2
-100
One cannot be singing into microphones and preaching using a radio simultaneously.
(-x)
(-x)
7c0a709a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00047429921687580645, 0.06268875300884247, 0.9368368983268738 ]
A baby sleeping on pale blue bamboo-like mats, wearing a navy blue and green striped shirt and swaddled in a towel.
The baby is under one years old.
1
-100
A baby is rolled under a towel
(-x)
(-x)
7c0a768a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.40342727303504944, 0.5921916365623474, 0.004381127189844847 ]
A baby sleeping on pale blue bamboo-like mats, wearing a navy blue and green striped shirt and swaddled in a towel.
The infant is a walrus.
2
-100
a baby cannot be a walrus
(-x)
(-x)
7c0a7b80-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00035089513403363526, 0.016236821189522743, 0.9834122657775879 ]
A baby sleeping on pale blue bamboo-like mats, wearing a navy blue and green striped shirt and swaddled in a towel.
An infant is asleep.
0
-100
A baby and an infant are similar.
(-x)
(-x)
7c0a8062-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9749261736869812, 0.02418683096766472, 0.0008870312594808638 ]
Three men in white are painting the railing of the pier blue.
Three men are painting the pier.
0
-100
painting the railing of the pier is part of painting the pier.
(-x)
(-x)
7c0a8530-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9549570083618164, 0.04141363129019737, 0.0036293792072683573 ]
Three men in white are painting the railing of the pier blue.
Three men are vandalizing the pier.
1
-100
Men are painting the railing of the pier blue.
(-x)
(-x)
7c0a89fe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0016640146495774388, 0.1407376378774643, 0.8575983047485352 ]
Three men in white are painting the railing of the pier blue.
Three women are painting the pier.
2
-100
the people painting are either men or women
(-x)
(-x)
7c0a8fd0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0000653002571198158, 0.0006553199491463602, 0.9992794394493103 ]
A woman walks near a beach with a young child in her hand while someone sits nearby.
Three people are indoors playing board games.
2
-100
A beach is not indoors.
(-x)
(-x)
7c0a9480-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007436973100993782, 0.00032934918999671936, 0.9995962977409363 ]
A woman walks near a beach with a young child in her hand while someone sits nearby.
A husband, wife, and their child are together on the beach.
1
-100
A woman who walks with a young child while someone sits nearby is not necessarily a husband, wife, and their child.
(-x)
(-x)
7c0a996c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0104835731908679, 0.9755629301071167, 0.013953457586467266 ]
A woman walks near a beach with a young child in her hand while someone sits nearby.
A person is sitting on the beach.
0
-100
sitting on the beach can also be said as someone sits
(-x)
(-x)
7c0a9e26-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8881593942642212, 0.10814311355352402, 0.0036974626127630472 ]
A man with a plastic bag walks down the street, passing by apartment buildings.
A man is walking.
0
-100
walks down the street can also be said as walking.
(-x)
(-x)
7c0aa2b8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9915128350257874, 0.008096231147646904, 0.0003910137456841767 ]
A man with a plastic bag walks down the street, passing by apartment buildings.
A man has fruit in his bag.
1
-100
A man with a plastic bag not necessarily has fruit in his bag.
(-x)
(-x)
7c0aa740-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0005568820633925498, 0.9956491589546204, 0.003793906420469284 ]
A man with a plastic bag walks down the street, passing by apartment buildings.
A man is driving a car.
2
-100
One who walks is not driving simultaneously.
(-x)
(-x)
7c0aabdc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005706642696168274, 0.0007160669192671776, 0.9992269277572632 ]
A few people on a canoe in the water.
Some guys on a fishing trip.
1
-100
A canoe in the water does not imply being on a fishing trip.
(-x)
(-x)
7c0ab064-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00510117132216692, 0.9938675761222839, 0.0010312764206901193 ]
A few people on a canoe in the water.
The canoe is in the boathouse.
2
-100
the canoe isn't in the water if it is in the boathouse
(-x)
(-x)
7c0ab596-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008526319288648665, 0.0356520414352417, 0.9634953737258911 ]
A few people on a canoe in the water.
Some people are boating.
0
-100
boat and canoe are similar.
(-x)
(-x)
7c0aba64-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7941614985466003, 0.2012217789888382, 0.0046167392283678055 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
A man and woman are dancing.
0
-100
man and woman are dancing can also be said as woman is dancing with a man
(-x)
(-x)
7c0abf00-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9830039739608765, 0.01602856069803238, 0.0009675087057985365 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
The couple enjoys their date night out
1
0.606928
A woman dancing with a man are not necessarily a couple and not necessarily enjoys their date night out.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists e1 s1 x1 x2 x3.(n_date(x2) & of(x2,x1) & n_thing(x1) & n_couple(x1) & a_out(s1) & Manner(e1,s1) & Theme(e1,x2) & Actor(e1,x1) & v_enjoy(e1) & Time(x2,x3) & n_night(x3))
7c0ac446-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010563747026026249, 0.9880576133728027, 0.0013786399504169822 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
The man and woman are outside.
0
-100
woman is dancing with a man in a red cap in front of an outdoor implies that man and woman are outside.
(-x)
(-x)
7c0ac8ec-e4c8-11ec-9cdd-0242ac1c0002
[ 0.965302050113678, 0.03367264196276665, 0.001025277771987021 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
The man and woman are happy.
1
0.889713
Just because woman is dancing with a man doesn't imply man and woman are happy.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(n_woman(x3) & n_man(x2) & subset_of(x3,x1) & subset_of(x2,x1) & Theme(s1,x1) & a_happy(s1))
7c0acd88-e4c8-11ec-9cdd-0242ac1c0002
[ 0.09062185138463974, 0.9065574407577515, 0.0028207413852214813 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
The man and woman like the music.
1
0.837714
The fact that a woman is dancing with a man doesn't imply man and woman like the music.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(n_music(x3) & n_woman(x2) & n_man(x1) & subset_of(x2,s1) & subset_of(x1,s1) & a_topic(s1) & like(s1,x3))
7c0ad22e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.17163221538066864, 0.8261821269989014, 0.0021856671664863825 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
A man dances with a fiery-haired woman
0
-100
red-haired woman is dancing with a man is a rephrasing of man dances with a fiery-haired woman
(-x)
(-x)
7c0ad6b6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8120642304420471, 0.10980509966611862, 0.07813068479299545 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
A man and woman are outside.
0
0.949614
woman is dancing with a man in a red cap in front of an outdoor shows that man and woman are outside.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(Theme(s1,x1) & a_outside(s1) & n_woman(x3) & n_man(x2) & subset_of(x3,x1) & subset_of(x2,x1))
7c0add1e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9802985787391663, 0.01897275820374489, 0.0007286651525646448 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
A man and woman are touching.
1
0.002458
Dancing can be done without touching.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(Actor(e1,x1) & v_touch(e1) & n_woman(x3) & n_man(x2) & subset_of(x3,x1) & subset_of(x2,x1))
7c0ae28c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6732035875320435, 0.32053321599960327, 0.006263163406401873 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
There are two people dancing outdoors.
0
-100
woman is dancing with a man in a red cap in front of an outdoor shows that two people dancing outdoors.
(-x)
(-x)
7c0ae804-e4c8-11ec-9cdd-0242ac1c0002
[ 0.986943244934082, 0.012310340069234371, 0.0007464177906513214 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
They are dancing alone with no musical accompaniment.
2
-100
People are not dancing alone if a woman is with a man dancing. They cannot be in front of an orchestra with no musical accompaniment.
(-x)
(-x)
7c0aed5e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001366620563203469, 0.0017827789997681975, 0.9980804920196533 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
A man is sitting.
2
0.000036
There are either two people, or one person. One cannot be dancing and sitting at the same time.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists e1 x1.(Actor(e1,x1) & v_sit(e1) & n_man(x1))
7c0af204-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006216074689291418, 0.004877487663179636, 0.9945008754730225 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
The man and women are dancing in a ballroom.
2
-100
A ballroom is not usually outdoors.
(-x)
(-x)
7c0af6a0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006313747260719538, 0.13609938323497772, 0.8575869202613831 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
The music is coming from a stereo.
2
-100
A stereo is not an outdoors orchestra.
(-x)
(-x)
7c0afb28-e4c8-11ec-9cdd-0242ac1c0002
[ 0.005350334104150534, 0.186409592628479, 0.8082401156425476 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
Superman enjoys his date with Lois Lane
2
-100
Lois Lane does not have red hair.
(-x)
(-x)
7c0affba-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000236794920056127, 0.016246285289525986, 0.9835168719291687 ]
A red-haired woman is dancing with a man in a red cap in front of an outdoor orchestra and a Russian sign.
They are in Russia.
1
0.002371
Just because there is a Russian sign does not mean they are in Russia.
exists e1 s1 s2 s3 s4 x1 x2 x3 x4 x5 x6 x7.(in(e1,x4) & of(x4,x5) & subset_of(x7,x5) & n_sign(x7) & a_russian(s4) & Theme(s4,x7) & subset_of(x6,x5) & n_orchestra(x6) & a_outdoor(s3) & Theme(s3,x6) & n_front(x4) & in(e1,x3) & n_cap(x3) & a_red(s2) & Theme(s2,x3) & with(e1,x2) & n_man(x2) & Actor(e1,x1) & v_dance(e1) & n_woman(x1) & a_red-haired(s1) & Theme(s1,x1))
exists p1 x1 x2.(ne_geo_russia(x2) & n_thing(x1) & in(x1,x2))
7c0b055a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.17343364655971527, 0.8104512691497803, 0.01611514575779438 ]
two women next to a stage of people playing instruments
The people in the auditorium are sleeping in their chairs.
2
-100
the women wouldn't be sleeping if people are playing instruments
(-x)
(-x)
7c0b0a1e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000052987630624556914, 0.0010476120514795184, 0.9988993406295776 ]
two women next to a stage of people playing instruments
to women are next to people playing instruments on a stage
0
-100
Next to a stage and next to people have similar meaning.
(-x)
(-x)
7c0b0f0a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9562669396400452, 0.042418234050273895, 0.0013148199068382382 ]
two women next to a stage of people playing instruments
a group plays instruments while two women stand near the stage
0
-100
The stage is the same
(-x)
(-x)
7c0b13d8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9240736961364746, 0.0748317688703537, 0.0010945576941594481 ]
two women next to a stage of people playing instruments
to women are next to people playing instruments on a stage at a concert
1
0.652298
Playing on a stage does not imply it being a concert.
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists e1 s1 s2 x1 x2 x3 x4 x5 x6.(to(s2,x2) & at(e1,x6) & n_concert(x6) & on(e1,x5) & n_stage(x5) & Theme(e1,x4) & Actor(e1,x3) & v_play(e1) & n_instrument(x4) & (x2 = x3) & n_people(x2) & Theme(s2,x1) & a_next(s2) & n_woman(x1) & a_to(s1) & Theme(s1,x1))
7c0b187e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03016463667154312, 0.9688772559165955, 0.0009581068879924715 ]
two women next to a stage of people playing instruments
Two women are clapping.
1
0.328385
Just because the women are near a stage doe snot mean they are clapping.
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists e1 x1.(Actor(e1,x1) & v_clap(e1) & n_woman(x1) & card_eq_2(x1))
7c0b1d2e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004927807953208685, 0.8943580389022827, 0.10071410983800888 ]
two women next to a stage of people playing instruments
They are at a concert.
1
0.657332
Instruments aren't always played at a concert.
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists p1 x1.(n_thing(x1) & exists x2.(at(x1,x2) & n_concert(x2)))
7c0b21c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03362252190709114, 0.9652963876724243, 0.0010811517713591456 ]
two women next to a stage of people playing instruments
The instruments are being played by people and two people are next to them looking on.
1
0.976915
Just because women are next to a stage does not mean they are looking on.
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists e1 e2 s1 x1 x2 x3 x4 x5 x6.(n_thing(x1) & n_instrument(x1) & for(e1,e2) & Actor(e2,x3) & subset_of(x5,x3) & to(s1,x1) & Theme(s1,x6) & a_next(s1) & (x5 = x6) & n_people(x5) & card_eq_2(x5) & subset_of(x4,x3) & n_people(x4) & Theme(e2,x1) & v_play(e2) & on(e1,x2) & n_thing(x2) & Actor(e1,x1) & v_look(e1))
7c0b2652-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7165408730506897, 0.28070899844169617, 0.002750114304944873 ]
two women next to a stage of people playing instruments
The women are in a library during quiet hours.
2
-100
A library does not usually have a stage.
(-x)
(-x)
7c0b2ba2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005455810241983272, 0.0007425759686157107, 0.9992029070854187 ]
two women next to a stage of people playing instruments
They are listening to music.
0
-100
instruments create music
(-x)
(-x)
7c0b3052-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6597021818161011, 0.33615267276763916, 0.004145144019275904 ]
two women next to a stage of people playing instruments
Two women are jumping on the trampoline.
2
-100
One isn't usually next to a stage and jumping on a trampoline.
(-x)
(-x)
7c0b34f8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008445960702374578, 0.0008315446320921183, 0.9990839958190918 ]
two women next to a stage of people playing instruments
On the stage are performers playing their instruments while two women are right next to them.
0
-100
performers play on the same stage
(-x)
(-x)
7c0b3a0c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7708924412727356, 0.22720442712306976, 0.0019031519768759608 ]
two women next to a stage of people playing instruments
two women evaluate the sound of their orchestra
1
0.003132
Just because people are playing instruments does not mean it is an orchestra.
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists e1 x1 x2 x3.(n_orchestra(x3) & of(x3,x2) & n_thing(x2) & n_sound(x2) & Theme(e1,x2) & Actor(e1,x1) & v_evaluate(e1) & of(x2,x3) & n_woman(x1) & card_eq_2(x1))
7c0b3eb2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.02189658209681511, 0.967801570892334, 0.010301785543560982 ]
two women next to a stage of people playing instruments
Two women are listening to music.
0
0.910077
instruments produce music
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists e1 x1 x2.(to(e1,x2) & n_music(x2) & Actor(e1,x1) & v_listen(e1) & n_woman(x1) & card_eq_2(x1))
7c0b4344-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6307752132415771, 0.3655585050582886, 0.0036662810016423464 ]
two women next to a stage of people playing instruments
the chorus gets ready to sing a song
2
0.003593
People playing instruments aren't a chorus.
exists e1 x1 x2 x3 x4 x5 x6.(a_topic(x1) & to(x2,x3) & of(x3,x4) & Theme(e1,x6) & Actor(e1,x5) & v_play(e1) & n_instrument(x6) & (x4 = x5) & n_people(x4) & n_stage(x3) & next(x1,x2) & n_thing(x2) & n_woman(x1) & card_eq_2(x1))
exists e1 p1 x1.(n_chorus(x1) & exists p2 s1.(Topic(s1,p2) & Actor(s1,x1) & a_ready(s1) & exists e2 x2.(Theme(e2,x2) & Actor(e2,x1) & v_sing(e2) & n_song(x2))) & Topic(e1,p1) & Actor(e1,x1) & v_get(e1))
7c0b47e0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01363164372742176, 0.9332312941551208, 0.053137097507715225 ]
two women next to a stage of people playing instruments
to men are next to a person playing an instrument on a stage
2
-100
There can either be two women or two men.
(-x)
(-x)
7c0b4c72-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03307565674185753, 0.016626015305519104, 0.9502983093261719 ]
The band is playing music for the dancers.
A band is playing music for the Nutcracker.
1
-100
The dancers could be preforming anything, not necessarily the Nutcracker.
(-x)
(-x)
7c0b51a4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0022297888062894344, 0.9963654279708862, 0.0014047774020582438 ]
The band is playing music for the dancers.
A child is rolling down the hill.
2
-100
One cannot be rolling and playing music. A band is not a single person.
(-x)
(-x)
7c0b5762-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007946334080770612, 0.0015255111502483487, 0.9976798892021179 ]
The band is playing music for the dancers.
Some people are in a band playing music.
0
-100
dancers need music
(-x)
(-x)
7c0b5cc6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6474360823631287, 0.35132232308387756, 0.001241631107404828 ]
A yougn boy in a blue and white baseball uniform throwing a baseball while tucking his glove close to his body.
a boy warms up for a game
1
-100
The boy might just want to play catch, instead of getting ready for a game.
(-x)
(-x)
7c0b6202-e4c8-11ec-9cdd-0242ac1c0002
[ 0.028248736634850502, 0.9705854654312134, 0.0011658375151455402 ]
A yougn boy in a blue and white baseball uniform throwing a baseball while tucking his glove close to his body.
a boy throws a ball
0
-100
throwing a baseball is same as throws a ball
(-x)
(-x)
7c0b670c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9886295795440674, 0.010562844574451447, 0.0008075475343503058 ]
A yougn boy in a blue and white baseball uniform throwing a baseball while tucking his glove close to his body.
a boy sleeps in bed
2
-100
A boy throwing a baseball cannot be sleeping in bed.
(-x)
(-x)
7c0b6c20-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007339566946029663, 0.0003252410388085991, 0.999601423740387 ]
A bike rider in green jersey races along a road.
Bike race in Grand Tour stage
1
-100
The riders could be participating in any race, not necessarily the Grand Tour stage.
(-x)
(-x)
7c0b712a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.007966587319970131, 0.9894515872001648, 0.002581879263743758 ]
A bike rider in green jersey races along a road.
Bi-cycle race
2
-100
A bi-cycle race is more than a single person.
(-x)
(-x)
7c0b7760-e4c8-11ec-9cdd-0242ac1c0002
[ 0.3238438069820404, 0.6363568902015686, 0.039799340069293976 ]
A bike rider in green jersey races along a road.
Road bike ride in green jersey
0
-100
rider needs road
(-x)
(-x)
7c0b7de6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7559478878974915, 0.23903639614582062, 0.0050156451761722565 ]
A bride with a tattoo, large earrings, and a red sash mingles with guests.
A bride with a tattoo of a frog, large earrings, and a red sash mingles with guests.
1
-100
The tattoo could be of anything, not necessarily a frog.
(-x)
(-x)
7c0b84da-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0009363745339214802, 0.9966145157814026, 0.0024491031654179096 ]
A bride with a tattoo, large earrings, and a red sash mingles with guests.
A bride with a tattoo, large earrings, and a red sash mingles with dogs.
2
-100
The bride wouldn't mingle with guests and dogs. Dogs wouldn't be at a wedding.
(-x)
(-x)
7c0b89bc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008347550756298006, 0.02836303599178791, 0.9708022475242615 ]
A bride with a tattoo, large earrings, and a red sash mingles with guests.
A tattooed woman talks with her wedding guests.
0
-100
the same woman can have the same guests
(-x)
(-x)
7c0b8e4e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8058556914329529, 0.19193552434444427, 0.00220881518907845 ]
two girls sit beside a river under a tree
The girls sat beside the river.
0
-100
tree can be next to river
(-x)
(-x)
7c0b92f4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.968387246131897, 0.029038893058896065, 0.0025739208795130253 ]
two girls sit beside a river under a tree
The girls sat beside the river reading a book.
1
-100
There is nothing to indicate the girls are reading a book.
(-x)
(-x)
7c0b97d6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0007932258304208517, 0.9981589913368225, 0.0010477618779987097 ]
two girls sit beside a river under a tree
The boys stood next to the river.
2
-100
It's either girls or boys. They can't sit if they stood.
(-x)
(-x)
7c0b9c36-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0038106285501271486, 0.0022871545515954494, 0.9939022064208984 ]
Two men in two canoes are sitting in a lake.
Men are in canoes.
0
-100
canoes are in a lake
(-x)
(-x)
7c0ba1c2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9867146611213684, 0.012559931725263596, 0.0007254261872731149 ]
Two men in two canoes are sitting in a lake.
Elton John is conservative.
2
-100
It's either Elton John or two men, not both.
(-x)
(-x)
7c0ba668-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0038007190451025963, 0.23569686710834503, 0.7605024576187134 ]
Two men in two canoes are sitting in a lake.
Water is nearby.
1
-100
You cannot assume who is present from sentence two, just because they are in a lake does not necessarily mean it has water in it (it may be dried up).
exists e1 x1 x2 x3.(in(e1,x3) & n_lake(x3) & Actor(e1,x1) & v_sit(e1) & in(x1,x2) & n_canoe(x2) & card_eq_2(x2) & n_man(x1) & card_eq_2(x1))
exists s1 x1.(ne_nam_water(x1) & Theme(s1,x1) & a_nearby(s1))
7c0bab40-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7337326407432556, 0.26026275753974915, 0.006004694849252701 ]
Three young girls walk down a sidewalk.
A young man walks by himself on an empty sidewalk
2
-100
It can't be a young man if it's three young girls.
exists e1 s1 x1 x2.(down(e1,x2) & n_sidewalk(x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & a_young(s1) & Theme(s1,x1) & card_eq_3(x1))
exists e1 s1 s2 x1 x2.(by(e1,x1) & n_male(x1) & on(e1,x2) & n_sidewalk(x2) & a_empty(s2) & Theme(s2,x2) & Actor(e1,x1) & v_walk(e1) & n_man(x1) & a_young(s1) & Theme(s1,x1))
7c0bafc8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00012094896374037489, 0.0003655668697319925, 0.9995135068893433 ]
Three young girls walk down a sidewalk.
Some people strolling along
0
-100
people usually strolling near sidewalk
exists e1 s1 x1 x2.(down(e1,x2) & n_sidewalk(x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & a_young(s1) & Theme(s1,x1) & card_eq_3(x1))
exists e1 s1 x1 x2.(a_topic(x1) & a_along(s1) & Manner(e1,s1) & Actor(e1,x2) & v_stroll(e1) & (x1 = x2) & n_people(x1))
7c0bb43c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6595050096511841, 0.3385038673877716, 0.0019911041017621756 ]
Three young girls walk down a sidewalk.
Several teenage girls walking to the mall
1
-100
Young girls could mean a wide range of ages, not just teenage girls. They could be heading anywhere on the sidewalk, not necessarily a mall.
exists e1 s1 x1 x2.(down(e1,x2) & n_sidewalk(x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & a_young(s1) & Theme(s1,x1) & card_eq_3(x1))
exists e1 s1 x1 x2 x3 x4.(n_mall(x4) & a_topic(x1) & to(e1,x4) & Actor(e1,x3) & v_walk(e1) & (x1 = x3) & n_girl(x1) & of(x1,x2) & n_teenage(x2) & a_several(s1) & Theme(s1,x1))
7c0bb8b0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006924245040863752, 0.9769701957702637, 0.016105610877275467 ]
A man in an orange hooded sweatshirt climbing a wall of ice with a forest in the background.
A man climbs a wall.
0
-100
As a man climbs a wall, it can be said that he is climbing a wall.
exists e2 e1 x1 x2 x3 x4 x5 x6 x7.(n_background(x7) & for(e1,e2) & in(e2,x7) & with(e2,x6) & n_forest(x6) & Theme(e2,x4) & Actor(e2,x1) & v_climb(e2) & of(x4,x5) & n_ice(x5) & n_wall(x4) & Theme(e1,x3) & Actor(e1,x1) & v_hood(e1) & n_sweatshirt(x3) & in(x1,x2) & n_orange(x2) & n_man(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_climb(e1) & n_wall(x2) & n_man(x1))
7c0bbd06-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9914214015007019, 0.007876547984778881, 0.0007020588382147253 ]
A man in an orange hooded sweatshirt climbing a wall of ice with a forest in the background.
A man in an red hooded sweatshirt climbing a wall of bricks.
2
-100
orange and red are different colors. The man cannot be climbing a wall of ice if the wall is made of bricks
exists e1 e2 x1 x2 x3 x4 x5 x6 x7.(n_background(x7) & for(e1,e2) & in(e2,x7) & with(e2,x6) & n_forest(x6) & Theme(e2,x4) & Actor(e2,x1) & v_climb(e2) & of(x4,x5) & n_ice(x5) & n_wall(x4) & Theme(e1,x3) & Actor(e1,x1) & v_hood(e1) & n_sweatshirt(x3) & in(x1,x2) & n_orange(x2) & n_man(x1))
exists e1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & in(x1,x2) & Theme(e1,x4) & Actor(e1,x3) & v_climb(e1) & of(x4,x5) & n_brick(x5) & n_wall(x4) & (x2 = x3) & n_sweatshirt(x2) & a_hooded(s2) & Theme(s2,x2) & a_red(s1) & Theme(s1,x2) & n_man(x1))
7c0bc170-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005405528281698935, 0.0005465193535201252, 0.9993994235992432 ]
A man in an orange hooded sweatshirt climbing a wall of ice with a forest in the background.
A man in an orange hooded sweatshirt climbing a wall of ice with a forest in the background and his friends watching him.
1
-100
A man climbing does not imply his friends are with him.
exists e2 e1 x1 x2 x3 x4 x5 x6 x7.(n_background(x7) & for(e1,e2) & in(e2,x7) & with(e2,x6) & n_forest(x6) & Theme(e2,x4) & Actor(e2,x1) & v_climb(e2) & of(x4,x5) & n_ice(x5) & n_wall(x4) & Theme(e1,x3) & Actor(e1,x1) & v_hood(e1) & n_sweatshirt(x3) & in(x1,x2) & n_orange(x2) & n_man(x1))
exists e2 e1 e3 x1 x2 x3 x4 x5 x6 x7 x8 x9.(n_male(x8) & n_male(x8) & n_friend(x9) & of(x9,x8) & n_background(x8) & for(e2,e3) & Theme(e3,x8) & Actor(e3,x1) & v_watch(e3) & for(e1,e2) & in(e2,x7) & subset_of(x9,x7) & subset_of(x8,x7) & with(e2,x6) & n_forest(x6) & Theme(e2,x4) & Actor(e2,x1) & v_climb(e2) & of(x4,x5) & n_ice(x5) & n_wall(x4) & Theme(e1,x3) & Actor(e1,x1) & v_hood(e1) & n_sweatshirt(x3) & in(x1,x2) & n_orange(x2) & n_man(x1))
7c0bc65c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0018454131204634905, 0.9972048401832581, 0.0009497611317783594 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A group of girls
0
0.978309
Girls congregating is the same as a group of girls.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists x1 x2.(a_topic(x1) & of(x1,x2) & n_girl(x2) & n_group(x1))
7c0bcaee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9602943658828735, 0.038415566086769104, 0.001290195737965405 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A monkey being launched into space.
2
-100
It can't be a monkey if it's a girl
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(a_topic(x1) & into(e1,x3) & n_space(x3) & Theme(e1,x2) & v_launch(e1) & (x1 = x2) & n_monkey(x1))
7c0bcf4e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00011554729280760512, 0.0003176231402903795, 0.9995667338371277 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A girl relaxing with her friends.
1
0.804367
You cannot infer the other girls are friends because they are near her, drinking from a straw does not necessarily imply relaxing.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(a_topic(x1) & with(e1,x3) & n_friend(x3) & of(x3,x1) & n_female(x1) & Actor(e1,x2) & v_relax(e1) & (x1 = x2) & n_girl(x1))
7c0bd5a2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.14833050966262817, 0.8493574261665344, 0.0023121030535548925 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A girl drinks juice from a straw
1
0.819396
You can drink many things with a straw (water, cola, etc.), you cannot infer she is drinking juice.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(from(e1,x3) & n_straw(x3) & Actor(e1,x1) & v_juice(e1) & n_drink(x1) & of(x1,x2) & n_girl(x2))
7c0bdade-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004868682473897934, 0.9928429126739502, 0.0022884784266352654 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
The girl in white is drinking from the rim of a bottle.
2
-100
The girl can't drink from a straw if she is drinking from the rim of a bottle.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists e1 x1 x2 x3 x4.(n_rim(x3) & n_girl(x1) & from(e1,x3) & of(x3,x4) & n_bottle(x4) & Actor(e1,x1) & v_drink(e1) & in(x1,x2) & n_white(x2))
7c0bdfd4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.03194378688931465, 0.08668331801891327, 0.8813729286193848 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
The girls are watching the girl with the straw.
1
0.972153
The girls behind her could be doing numerous things other than watching her drink.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists e1 x1 x2 x3.(n_straw(x3) & n_girl(x2) & n_girl(x1) & Theme(e1,x2) & Actor(e1,x1) & v_watch(e1) & with(x2,x3))
7c0be4b6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.24472099542617798, 0.7477885484695435, 0.007490429095923901 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A girl enjoying a drink froma straw.
0
-100
A girl drinks from a straw is the same as a girl enjoying a drink from a straw.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists e1 x1 x2 x3 x4 x5.(a_topic(x1) & Theme(e1,x3) & Actor(e1,x2) & v_enjoy(e1) & n_straw(x3) & of(x3,x5) & n_froma(x5) & of(x3,x4) & n_drink(x4) & (x1 = x2) & n_girl(x1))
7c0be9a2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.51888108253479, 0.4776867926120758, 0.003432110184803605 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A young girl drinks juice.
1
0.814153
You can drink many things with a straw (water, cola, etc.), you cannot infer she is drinking juice.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists s1 x1 x2 x3.(a_topic(x1) & n_juice(x1) & of(x1,x3) & n_drink(x3) & of(x1,x2) & n_girl(x2) & a_young(s1) & Theme(s1,x1))
7c0c24f8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01306625735014677, 0.9216783046722412, 0.06525541096925735 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
the girl is white
1
0.529801
Young girl does not imply ethnicity, she could be Hispanic, Black, Chinese, etc. You cannot infer she is white.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists s1 x1.(n_girl(x1) & Theme(s1,x1) & a_white(s1))
7c0c4a0a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0010759590659290552, 0.9940003156661987, 0.004923725500702858 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
the girl is alone at home
2
-100
The girl can't be alone if there are other girls behind her.
exists e1 p1 s1 s2 x1 x2 x3 x4 x5.(a_topic(x1) & exists e2 x6.(behind(e2,x1) & Actor(e2,x6) & v_congregate(e2) & -(x6 = x1) & n_girl(x6)) & n_female(x1) & n_girl(x1) & n_girl(x1) & while(e1,p1) & from(e1,x5) & n_straw(x5) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_drink(x3) & of(x3,x4) & n_jumper(x4) & a_white(s2) & Theme(s2,x3) & (x1 = x2) & a_young(s1) & Theme(s1,x1))
exists s1 x1 x2.(n_girl(x1) & at(s1,x2) & n_home(x2) & Theme(s1,x1) & a_alone(s1))
7c0c52fc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000044229960622033104, 0.001117115723900497, 0.9988387227058411 ]