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int64
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probability
float64
-100
1
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explanation_3
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premise_logic
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2.12k
hypothesis_logic
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36
36
prediction
sequence
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A crowd of girls stand together.
0
-100
When girls congregate it is the same as a crowd of girls stand together.
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 p1 x1 x2.(exists s1.(Theme(s1,x1) & a_together(s1)) & Topic(e1,p1) & Actor(e1,x1) & v_stand(e1) & of(x1,x2) & n_girl(x2) & n_crowd(x1))
7c0c5b58-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9607697129249573, 0.036537837237119675, 0.0026924144476652145 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A young girl drinks cement.
2
-100
The girl can't drink cement from a straw. One can't drink cement.
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_cement(x1) & of(x1,x3) & n_drink(x3) & of(x1,x2) & n_girl(x2) & a_young(s1) & Theme(s1,x1))
7c0c6558-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004267864394932985, 0.08460363745689392, 0.9111284017562866 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
w girl wears jumpers
0
-100
A girl wearing a white jumper implies she wears jumpers.
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.(Theme(e1,x3) & Actor(e1,x1) & v_wear(e1) & n_jumper(x3) & n_girl(x1) & of(x1,x2) & n_w(x2))
7c0c84d4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8731929063796997, 0.11916626989841461, 0.007640771567821503 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A young girl is drinking something.
0
-100
When one drinks from a straw they are drinking something.
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 s1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_drink(e1) & n_thing(x2) & n_girl(x1) & a_young(s1) & Theme(s1,x1))
7c0c9064-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9442322254180908, 0.0549812950193882, 0.0007864223443903029 ]
A young girl wearing a white jumper drinks from a straw while other girls congregate behind her.
A girl wearing yellow drinks soda
2
0.000002
The girl either has white or yellow on.
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 s1 x1 x2 x3 x4.(a_topic(x1) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & Time(x3,x4) & n_soda(x4) & n_drink(x3) & a_yellow(s1) & Theme(s1,x3) & (x1 = x2) & n_girl(x1))
7c0c9f14-e4c8-11ec-9cdd-0242ac1c0002
[ 0.002282068133354187, 0.08470078557729721, 0.9130171537399292 ]
Kids walking on the street, one blond girl wearing a white outfit drinking from a straw, one brown-haired girl in white shorts and dark top, turned around, holding her cellphone.
Two older girls are walking down a suburban street.
1
-100
Walking on the street does not provide enough information to inter the type of community (urban, suburban, or rural). Kids does not imply age, sentence 2 provides more information (older).
exists e1 e4 e2 e3 p1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13.(n_cellphone(x13) & of(x13,x3) & n_female(x3) & n_street(x3) & for(e3,e4) & Theme(e4,x13) & Actor(e4,x1) & v_hold(e4) & exists s6.(Theme(s6,x1) & a_around(s6)) & Topic(e3,p1) & Actor(e3,x1) & v_turn(e3) & on(e1,x3) & rel(x3,x4) & Theme(e2,x6) & Actor(e2,x5) & v_wear(e2) & from(x6,x8) & rel(x8,x9) & subset_of(x12,x9) & n_top(x12) & a_dark(s5) & Theme(s5,x12) & subset_of(x10,x9) & in(x10,x11) & n_shorts(x11) & a_white(s4) & Theme(s4,x11) & n_girl(x10) & a_brown-haired(s3) & Theme(s3,x10) & card_eq_1(x10) & n_straw(x8) & n_drinking(x6) & of(x6,x7) & n_outfit(x7) & a_white(s2) & Theme(s2,x6) & (x4 = x5) & n_girl(x4) & a_blond(s1) & Theme(s1,x4) & card_eq_1(x4) & Actor(e1,x2) & v_walk(e1) & (x1 = x2) & n_kid(x1))
exists e1 s1 s2 s3 x1 x2.(a_down(s3) & Manner(e1,s3) & Theme(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_street(x2) & a_suburban(s2) & Theme(s2,x2) & n_girl(x1) & r_more(s1) & a_older(s1) & Theme(s1,x1) & card_eq_2(x1))
7c0ca90a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.06170698255300522, 0.8468002080917358, 0.09149280935525894 ]
Kids walking on the street, one blond girl wearing a white outfit drinking from a straw, one brown-haired girl in white shorts and dark top, turned around, holding her cellphone.
Two boys are playing in the dirt.
2
-100
They can't play in the street if they are playing in dirt.
exists e4 e2 e3 e1 p1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13.(n_cellphone(x13) & of(x13,x3) & n_female(x3) & n_street(x3) & for(e3,e4) & Theme(e4,x13) & Actor(e4,x1) & v_hold(e4) & exists s6.(Theme(s6,x1) & a_around(s6)) & Topic(e3,p1) & Actor(e3,x1) & v_turn(e3) & on(e1,x3) & rel(x3,x4) & Theme(e2,x6) & Actor(e2,x5) & v_wear(e2) & from(x6,x8) & rel(x8,x9) & subset_of(x12,x9) & n_top(x12) & a_dark(s5) & Theme(s5,x12) & subset_of(x10,x9) & in(x10,x11) & n_shorts(x11) & a_white(s4) & Theme(s4,x11) & n_girl(x10) & a_brown-haired(s3) & Theme(s3,x10) & card_eq_1(x10) & n_straw(x8) & n_drinking(x6) & of(x6,x7) & n_outfit(x7) & a_white(s2) & Theme(s2,x6) & (x4 = x5) & n_girl(x4) & a_blond(s1) & Theme(s1,x4) & card_eq_1(x4) & Actor(e1,x2) & v_walk(e1) & (x1 = x2) & n_kid(x1))
exists e1 x1 x2.(n_dirt(x2) & in(e1,x2) & Actor(e1,x1) & v_play(e1) & n_boy(x1) & card_eq_2(x1))
7c0cb422-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00015211464778985828, 0.0007378748850896955, 0.9991100430488586 ]
Kids walking on the street, one blond girl wearing a white outfit drinking from a straw, one brown-haired girl in white shorts and dark top, turned around, holding her cellphone.
Some children are walking on the street.
0
-100
Kids and children are the same. So to say kids or children are walking on the street is the same.
exists e4 e3 e2 e1 p1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13.(n_cellphone(x13) & of(x13,x3) & n_female(x3) & n_street(x3) & for(e3,e4) & Theme(e4,x13) & Actor(e4,x1) & v_hold(e4) & exists s6.(Theme(s6,x1) & a_around(s6)) & Topic(e3,p1) & Actor(e3,x1) & v_turn(e3) & on(e1,x3) & rel(x3,x4) & Theme(e2,x6) & Actor(e2,x5) & v_wear(e2) & from(x6,x8) & rel(x8,x9) & subset_of(x12,x9) & n_top(x12) & a_dark(s5) & Theme(s5,x12) & subset_of(x10,x9) & in(x10,x11) & n_shorts(x11) & a_white(s4) & Theme(s4,x11) & n_girl(x10) & a_brown-haired(s3) & Theme(s3,x10) & card_eq_1(x10) & n_straw(x8) & n_drinking(x6) & of(x6,x7) & n_outfit(x7) & a_white(s2) & Theme(s2,x6) & (x4 = x5) & n_girl(x4) & a_blond(s1) & Theme(s1,x4) & card_eq_1(x4) & Actor(e1,x2) & v_walk(e1) & (x1 = x2) & n_kid(x1))
exists e1 x1 x2.(n_street(x2) & on(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_child(x1))
7c0cbfee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9532002210617065, 0.04615616798400879, 0.0006436217809095979 ]
Four girls are walking down the sidewalk.
Four girls walk down a sidewalk.
0
-100
To say are walking is the same as saying they walk.
exists e1 x1 x2.(n_sidewalk(x2) & down(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & card_eq_4(x1))
exists e1 x1 x2.(down(e1,x2) & n_sidewalk(x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & card_eq_4(x1))
7c0ccaac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9825376868247986, 0.016707781702280045, 0.000754545268137008 ]
Four girls are walking down the sidewalk.
Four girls happily walk down a sidewalk.
1
-100
Walking down the sidewalk does not necessarily mean you are doing it happily.
exists e1 x1 x2.(n_sidewalk(x2) & down(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & card_eq_4(x1))
exists e1 s1 s2 x1 x2.(a_happily(s2) & Manner(e1,s2) & a_down(s1) & Manner(e1,s1) & Theme(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_sidewalk(x2) & n_girl(x1) & card_eq_4(x1))
7c0cd4d4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010654270648956299, 0.9878693222999573, 0.0014763984363526106 ]
Four girls are walking down the sidewalk.
Four girls roll under a sidewalk.
2
-100
Walking is not rolling.
exists e1 x1 x2.(n_sidewalk(x2) & down(e1,x2) & Actor(e1,x1) & v_walk(e1) & n_girl(x1) & card_eq_4(x1))
exists x1 x2 x3.(a_topic(x1) & under(x1,x3) & n_sidewalk(x3) & n_roll(x1) & of(x1,x2) & n_girl(x2) & card_eq_4(x1))
7c0ce014-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0003652125014923513, 0.007021046243607998, 0.9926137924194336 ]
A woman is using a shovel to move grains.
A woman is moving grain with a shovel.
0
-100
Grain can be moved with a shovel.
exists e1 p1 x1 x2.(Theme(e1,p1) & Recipient(e1,x2) & Actor(e1,x1) & v_use(e1) & exists e2 x3.(Theme(e2,x3) & Actor(e2,x1) & v_move(e2) & n_grain(x3)) & n_shovel(x2) & n_woman(x1))
exists e1 x1 x2 x3.(with(e1,x3) & n_shovel(x3) & Theme(e1,x2) & Actor(e1,x1) & v_move(e1) & n_grain(x2) & n_woman(x1))
7c0cea96-e4c8-11ec-9cdd-0242ac1c0002
[ 0.983648419380188, 0.015607185661792755, 0.0007443659123964608 ]
A woman is using a shovel to move grains.
A woman is moving water with a spoon.
2
-100
Spoon is different than shovel.
exists e1 p1 x1 x2.(Theme(e1,p1) & Recipient(e1,x2) & Actor(e1,x1) & v_use(e1) & exists e2 x3.(Theme(e2,x3) & Actor(e2,x1) & v_move(e2) & n_grain(x3)) & n_shovel(x2) & n_woman(x1))
exists e1 x1 x2 x3.(with(e1,x3) & n_spoon(x3) & Theme(e1,x2) & Actor(e1,x1) & v_move(e1) & n_water(x2) & n_woman(x1))
7c0cf676-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000053607174777425826, 0.00037896103458479047, 0.999567449092865 ]
A woman is using a shovel to move grains.
A farmer is working with grain.
1
-100
Not every woman is a farmer.
exists e1 p1 x1 x2.(Theme(e1,p1) & Recipient(e1,x2) & Actor(e1,x1) & v_use(e1) & exists e2 x3.(Theme(e2,x3) & Actor(e2,x1) & v_move(e2) & n_grain(x3)) & n_shovel(x2) & n_woman(x1))
exists e1 x1 x2.(with(e1,x2) & n_grain(x2) & Actor(e1,x1) & v_work(e1) & n_farmer(x1))
7c0d01fc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.10388097167015076, 0.891838788986206, 0.004280286841094494 ]
Two men, one bare-chested while the other wears a hat and blue shirt, in a canoe on water.
leopard in field
2
-100
Men are not a leopard.
exists e2 e1 p1 x1 x2 x3 x4.(n_other(x4) & for(e1,e2) & Theme(e2,x2) & Pivot(e2,x1) & r_more(e2) & v_bare-chested(e2) & rel(x2,x3) & n_thing(x3) & card_eq_1(x3) & n_man(x2) & card_eq_2(x2) & exists e3 s1 x5 x6 x7 x8 x9.(in(e3,x8) & on(x8,x9) & n_water(x9) & n_canoe(x8) & Theme(e3,x5) & Actor(e3,x4) & v_wear(e3) & n_shirt(x7) & a_blue(s1) & Theme(s1,x7) & n_hat(x6) & subset_of(x7,x5) & subset_of(x6,x5)) & while(e1,p1) & Actor(e1,x1) & v_event(e1) & n_thing(x1))
exists x1 x2.(a_topic(x1) & in(x1,x2) & n_field(x2) & n_leopard(x1))
7c0d0f12-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006712880916893482, 0.00295662390999496, 0.9903304576873779 ]
Two men, one bare-chested while the other wears a hat and blue shirt, in a canoe on water.
men on canoe vacation
1
-100
The men could be in a canoe for a number of reasons, not necessarily on vacation.
exists e1 e2 p1 x1 x2 x3 x4.(n_other(x4) & for(e1,e2) & Theme(e2,x2) & Pivot(e2,x1) & r_more(e2) & v_bare-chested(e2) & rel(x2,x3) & n_thing(x3) & card_eq_1(x3) & n_man(x2) & card_eq_2(x2) & exists e3 s1 x5 x6 x7 x8 x9.(in(e3,x8) & on(x8,x9) & n_water(x9) & n_canoe(x8) & Theme(e3,x5) & Actor(e3,x4) & v_wear(e3) & n_shirt(x7) & a_blue(s1) & Theme(s1,x7) & n_hat(x6) & subset_of(x7,x5) & subset_of(x6,x5)) & while(e1,p1) & Actor(e1,x1) & v_event(e1) & n_thing(x1))
exists x1 x2 x3.(a_topic(x1) & on(x1,x2) & n_vacation(x2) & of(x2,x3) & n_canoe(x3) & n_man(x1))
7c0d1976-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003767726244404912, 0.9952524900436401, 0.0009797593811526895 ]
Two men, one bare-chested while the other wears a hat and blue shirt, in a canoe on water.
men in canoe
0
-100
Men in a canoe and men in canoe is the same.
exists e2 e1 p1 x1 x2 x3 x4.(n_other(x4) & for(e1,e2) & Theme(e2,x2) & Pivot(e2,x1) & r_more(e2) & v_bare-chested(e2) & rel(x2,x3) & n_thing(x3) & card_eq_1(x3) & n_man(x2) & card_eq_2(x2) & exists e3 s1 x5 x6 x7 x8 x9.(in(e3,x8) & on(x8,x9) & n_water(x9) & n_canoe(x8) & Theme(e3,x5) & Actor(e3,x4) & v_wear(e3) & n_shirt(x7) & a_blue(s1) & Theme(s1,x7) & n_hat(x6) & subset_of(x7,x5) & subset_of(x6,x5)) & while(e1,p1) & Actor(e1,x1) & v_event(e1) & n_thing(x1))
exists x1 x2.(a_topic(x1) & in(x1,x2) & n_canoe(x2) & n_man(x1))
7c0d243e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9602465033531189, 0.03849015384912491, 0.0012633190490305424 ]
Two guys are rowing a canoe on a lake.
Two men are in a boat on a body of water.
0
-100
Guys are also known as men. A canoe is a type of boat. Guys are rowing a canoe implies they are in a boat.
exists e1 x1 x2 x3.(Theme(e1,x2) & Actor(e1,x1) & v_row(e1) & on(x2,x3) & n_lake(x3) & n_canoe(x2) & n_guy(x1) & card_eq_2(x1))
exists p1 x1.(exists x2 x3 x4.(in(x1,x2) & on(x2,x3) & of(x3,x4) & n_water(x4) & n_body(x3) & n_boat(x2)) & n_man(x1) & card_eq_2(x1))
7c0d2f74-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9818555116653442, 0.017564617097377777, 0.0005798222264274955 ]
Two guys are rowing a canoe on a lake.
The men are at a public park on the lake.
1
-100
Not all lakes have public park.
exists e1 x1 x2 x3.(Theme(e1,x2) & Actor(e1,x1) & v_row(e1) & on(x2,x3) & n_lake(x3) & n_canoe(x2) & n_guy(x1) & card_eq_2(x1))
exists p1 x1 x3.(n_lake(x3) & n_man(x1) & exists s1 x2.(at(x1,x2) & on(x2,x3) & n_park(x2) & a_public(s1) & Theme(s1,x2)))
7c0d3ac8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.008435260504484177, 0.9897240400314331, 0.001840719603933394 ]
Two guys are rowing a canoe on a lake.
The men are diving into the water.
2
-100
Rowing isn't diving.
exists e1 x1 x2 x3.(Theme(e1,x2) & Actor(e1,x1) & v_row(e1) & on(x2,x3) & n_lake(x3) & n_canoe(x2) & n_guy(x1) & card_eq_2(x1))
exists e1 x1 x2.(n_water(x2) & n_man(x1) & into(e1,x2) & Actor(e1,x1) & v_dive(e1))
7c0d4630-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00013203574053477496, 0.003150874748826027, 0.9967170357704163 ]
A man in shades and a sweatshirt watches a girl stand in a recycling bin.
The girl is in the trash can looking for rats.
2
-100
A man isn't a girl.
exists e1 x1 x2 x3 x4 x5 x6 x7 x8.(in(e1,x7) & n_bin(x7) & of(x7,x8) & n_recycling(x8) & Theme(e1,x5) & Actor(e1,x1) & v_watch(e1) & n_stand(x5) & of(x5,x6) & n_girl(x6) & subset_of(x4,x1) & n_sweatshirt(x4) & subset_of(x2,x1) & in(x2,x3) & n_shades(x3) & n_man(x2))
exists p1 x1 x2.(n_trash(x2) & n_girl(x1) & exists e2 e1 x3 x4.(in(x1,x2) & for(e1,e2) & for(e2,x4) & n_rat(x4) & Actor(e2,x3) & v_look(e2) & Actor(e1,x3) & v_can(e1) & (x2 = x3)))
7c0d531e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00028452667174860835, 0.02639659494161606, 0.973318874835968 ]
A man in shades and a sweatshirt watches a girl stand in a recycling bin.
The man is cold, but the sun is out.
1
-100
Not all men are cold. The fact that a man watches a girl doesn't imply that the sun is out.
exists e1 x1 x2 x3 x4 x5 x6 x7 x8.(in(e1,x7) & n_bin(x7) & of(x7,x8) & n_recycling(x8) & Theme(e1,x5) & Actor(e1,x1) & v_watch(e1) & n_stand(x5) & of(x5,x6) & n_girl(x6) & subset_of(x4,x1) & n_sweatshirt(x4) & subset_of(x2,x1) & in(x2,x3) & n_shades(x3) & n_man(x2))
exists s1 s2 x1 x2.(n_sun(x2) & n_man(x1) & Theme(s2,x2) & a_out(s2) & Theme(s1,x1) & a_cold(s1))
7c0d5f62-e4c8-11ec-9cdd-0242ac1c0002
[ 0.016423873603343964, 0.970755398273468, 0.012820692732930183 ]
A man in shades and a sweatshirt watches a girl stand in a recycling bin.
The girl is standing in a strange place.
0
-100
A recycling bin is a strange place for a girl to be standing.
exists e1 x1 x2 x3 x4 x5 x6 x7 x8.(in(e1,x7) & n_bin(x7) & of(x7,x8) & n_recycling(x8) & Theme(e1,x5) & Actor(e1,x1) & v_watch(e1) & n_stand(x5) & of(x5,x6) & n_girl(x6) & subset_of(x4,x1) & n_sweatshirt(x4) & subset_of(x2,x1) & in(x2,x3) & n_shades(x3) & n_man(x2))
exists e1 s1 x1 x2.(n_girl(x1) & in(e1,x2) & n_place(x2) & a_strange(s1) & Theme(s1,x2) & Actor(e1,x1) & v_stand(e1))
7c0d69f8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6100677847862244, 0.3830350339412689, 0.006897181738168001 ]
A man standing while filming.
A man sitting while filming.
2
-100
He can't be sitting and standing.
exists e2 e1 x1 x2.(a_topic(x1) & while(e1,e2) & Actor(e2,x2) & v_film(e2) & Actor(e1,x2) & v_stand(e1) & (x1 = x2) & n_man(x1))
exists e2 e1 x1 x2.(a_topic(x1) & while(e1,e2) & Actor(e2,x2) & v_film(e2) & Actor(e1,x2) & v_sit(e1) & (x1 = x2) & n_man(x1))
7c0d765a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00010466582898516208, 0.0003798136312980205, 0.9995155334472656 ]
A man standing while filming.
A man filming.
0
-100
the man filming is standing
exists e2 e1 x1 x2.(a_topic(x1) & while(e1,e2) & Actor(e2,x2) & v_film(e2) & Actor(e1,x2) & v_stand(e1) & (x1 = x2) & n_man(x1))
exists x1 x2.(a_topic(x1) & n_filming(x1) & of(x1,x2) & n_man(x2))
7c0d8122-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9798778891563416, 0.019247345626354218, 0.0008748234831728041 ]
A man standing while filming.
A man standing while filming other people.
1
-100
The fact that a man filming doesn't imply that filming other people.
exists e1 e2 x1 x2.(a_topic(x1) & while(e1,e2) & Actor(e2,x2) & v_film(e2) & Actor(e1,x2) & v_stand(e1) & (x1 = x2) & n_man(x1))
exists e1 e2 x1 x2 x3 x4.(n_people(x4) & a_topic(x1) & while(e1,e2) & Theme(e2,x3) & Actor(e2,x2) & v_film(e2) & -(x3 = x4) & n_people(x3) & Actor(e1,x2) & v_stand(e1) & (x1 = x2) & n_man(x1))
7c0d8c76-e4c8-11ec-9cdd-0242ac1c0002
[ 0.11834323406219482, 0.8751271963119507, 0.006529581267386675 ]
The couple pauses atop a rocky overlook.
The couple is on the floor.
2
-100
An overlook is not the floor.
exists e1 s1 x1 x2.(n_couple(x1) & atop(e1,x2) & n_overlook(x2) & a_rocky(s1) & Theme(s1,x2) & Actor(e1,x1) & v_pause(e1))
exists p1 x1 x2.(n_floor(x2) & n_couple(x1) & on(x1,x2))
7c0d99aa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008901723776943982, 0.002227616962045431, 0.9968822002410889 ]
The couple pauses atop a rocky overlook.
The couple is walking on a rockky overlook.
-1
-100
(x)
(x)
7c0da4fe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.38166993856430054, 0.5131880044937134, 0.10514204949140549 ]
The couple pauses atop a rocky overlook.
The couple is on top of a rock.
0
-100
The couple only stops on a rocky overlook.
exists e1 s1 x1 x2.(n_couple(x1) & atop(e1,x2) & n_overlook(x2) & a_rocky(s1) & Theme(s1,x2) & Actor(e1,x1) & v_pause(e1))
exists p1 x1.(n_couple(x1) & exists x2 x3.(on(x1,x2) & of(x2,x3) & n_rock(x3) & n_top(x2)))
7c0db174-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9447465538978577, 0.05277922749519348, 0.0024741501547396183 ]
A man wearing a hard hat is on a boat pulling in some sort of device using a rope.
A man is pulling in his anchor.
1
-100
Device doesn't imply anchor.
exists e1 p1 s1 x1 x2 x3.(exists e3 e2 x4 x5 x6 x7 x8.(on(x1,x4) & for(e2,e3) & Theme(e3,x8) & Actor(e3,x5) & v_use(e3) & n_rope(x8) & in(e2,x6) & of(x6,x7) & n_device(x7) & n_sort(x6) & Actor(e2,x5) & v_pull(e2) & (x4 = x5) & n_boat(x4)) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & a_hard(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
exists e1 x1 x2.(in(e1,x2) & n_anchor(x2) & of(x2,x1) & n_male(x1) & Actor(e1,x1) & v_pull(e1) & n_man(x1))
7c0dbc46-e4c8-11ec-9cdd-0242ac1c0002
[ 0.015390134416520596, 0.9801368713378906, 0.004473037086427212 ]
A man wearing a hard hat is on a boat pulling in some sort of device using a rope.
A man is on the ocean.
0
-100
boats are made to be in the ocean
exists e1 p1 s1 x1 x2 x3.(exists e2 e3 x4 x5 x6 x7 x8.(on(x1,x4) & for(e2,e3) & Theme(e3,x8) & Actor(e3,x5) & v_use(e3) & n_rope(x8) & in(e2,x6) & of(x6,x7) & n_device(x7) & n_sort(x6) & Actor(e2,x5) & v_pull(e2) & (x4 = x5) & n_boat(x4)) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & a_hard(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
exists p1 x1 x2.(n_ocean(x2) & on(x1,x2) & n_man(x1))
7c0dc79a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.13932766020298004, 0.8241105675697327, 0.03656185045838356 ]
A man wearing a hard hat is on a boat pulling in some sort of device using a rope.
No one is on a boat.
2
-100
A man is not no one.
exists e1 p1 s1 x1 x2 x3.(exists e2 e3 x4 x5 x6 x7 x8.(on(x1,x4) & for(e2,e3) & Theme(e3,x8) & Actor(e3,x5) & v_use(e3) & n_rope(x8) & in(e2,x6) & of(x6,x7) & n_device(x7) & n_sort(x6) & Actor(e2,x5) & v_pull(e2) & (x4 = x5) & n_boat(x4)) & Theme(e1,x3) & Actor(e1,x2) & v_wear(e1) & n_hat(x3) & a_hard(s1) & Theme(s1,x3) & (x1 = x2) & n_man(x1))
-exists p1 x1.(exists x2.(on(x1,x2) & n_boat(x2)) & n_one(x1))
7c0dceac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00008718384196981788, 0.0002514344232622534, 0.9996613264083862 ]
Men and women participate in marathon.
The elderly people are in a marathon.
1
-100
Not all men and women are elderly.
exists e1 x1 x2 x3 x4.(in(e1,x4) & n_marathon(x4) & Actor(e1,x1) & v_participate(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1) & n_man(x2))
exists p1 s1 x1.(n_people(x1) & a_elderly(s1) & Theme(s1,x1) & exists x2.(in(x1,x2) & n_marathon(x2)))
7c0dd406-e4c8-11ec-9cdd-0242ac1c0002
[ 0.02399918995797634, 0.9543347358703613, 0.02166610397398472 ]
Men and women participate in marathon.
People are doing a marathon.
0
-100
People are consisted of men and women, that are allowed to participate in a marathon.
exists e1 x1 x2 x3 x4.(in(e1,x4) & n_marathon(x4) & Actor(e1,x1) & v_participate(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1) & n_man(x2))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_do(e1) & n_marathon(x2) & n_people(x1))
7c0dd8f2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9772379994392395, 0.021992336958646774, 0.0007696363609284163 ]
Men and women participate in marathon.
Nobody is participating in the marathon.
2
-100
Nobody is participating is not the same as men and women participate.
exists e1 x1 x2 x3 x4.(in(e1,x4) & n_marathon(x4) & Actor(e1,x1) & v_participate(e1) & subset_of(x3,x1) & n_woman(x3) & subset_of(x2,x1) & n_man(x2))
exists x2.(n_marathon(x2) & -exists e1 x1.(in(e1,x2) & Actor(e1,x1) & v_participate(e1) & n_person(x1)))
7c0dddc0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0000942905608098954, 0.00031065463554114103, 0.9995951056480408 ]
People are rowing a boat in the water.
A boat is in motion.
0
-100
a boat is meant to be on water
exists e1 x1 x2 x3.(n_water(x3) & Theme(e1,x2) & Actor(e1,x1) & v_row(e1) & in(x2,x3) & n_boat(x2) & n_people(x1))
exists p1 x1.(exists x2.(in(x1,x2) & n_motion(x2)) & n_boat(x1))
7c0de27a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9643322825431824, 0.0334748737514019, 0.0021927710622549057 ]
People are rowing a boat in the water.
A crew team is practicing.
1
-100
The fact that people are rowing doesn't imply a crew team is practicing.
exists e1 x1 x2 x3.(n_water(x3) & Theme(e1,x2) & Actor(e1,x1) & v_row(e1) & in(x2,x3) & n_boat(x2) & n_people(x1))
exists e1 x1 x2.(Actor(e1,x1) & v_practice(e1) & n_team(x1) & of(x1,x2) & n_crew(x2))
7c0de892-e4c8-11ec-9cdd-0242ac1c0002
[ 0.011815931648015976, 0.9867319464683533, 0.0014521118719130754 ]
People are rowing a boat in the water.
People are flying an airplane.
2
-100
Rowing isn't flying.
exists e1 x1 x2 x3.(n_water(x3) & Theme(e1,x2) & Actor(e1,x1) & v_row(e1) & in(x2,x3) & n_boat(x2) & n_people(x1))
exists e1 x1 x2.(Theme(e1,x2) & Actor(e1,x1) & v_fly(e1) & n_airplane(x2) & n_people(x1))
7c0dee96-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007076456677168608, 0.00039231873233802617, 0.9995368719100952 ]
One male lifting an item from the ocean while wearing a life vest and helmet.
The man is lifting an anchor up from the ocean.
1
-100
Lifting something does not imply lifting an anchor.
exists e2 e1 x1 x2 x3 x4 x5 x6 x7 x8.(n_ocean(x4) & a_topic(x1) & while(e1,e2) & Theme(e2,x5) & Actor(e2,x2) & v_wear(e2) & n_helmet(x8) & n_vest(x7) & subset_of(x8,x5) & subset_of(x7,x5) & of(x5,x6) & n_life(x6) & from(e1,x4) & Theme(e1,x3) & Actor(e1,x2) & v_lift(e1) & n_item(x3) & (x1 = x2) & n_male(x1) & card_eq_1(x1))
exists e1 x1 x2 x3 x4.(n_ocean(x4) & n_man(x1) & Theme(e1,x2) & Actor(e1,x1) & v_lift(e1) & from(x3,x4) & up(x2,x3) & n_thing(x3) & n_anchor(x2))
7c0df378-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004212995991110802, 0.9916322827339172, 0.004154771566390991 ]
One male lifting an item from the ocean while wearing a life vest and helmet.
The man is indoors.
2
-100
AN OCEAN IS NOT INDOORS
exists e1 e2 x1 x2 x3 x4 x5 x6 x7 x8.(n_ocean(x4) & a_topic(x1) & while(e1,e2) & Theme(e2,x5) & Actor(e2,x2) & v_wear(e2) & n_helmet(x8) & n_vest(x7) & subset_of(x8,x5) & subset_of(x7,x5) & of(x5,x6) & n_life(x6) & from(e1,x4) & Theme(e1,x3) & Actor(e1,x2) & v_lift(e1) & n_item(x3) & (x1 = x2) & n_male(x1) & card_eq_1(x1))
exists p1 x1.(n_man(x1) & exists x2.((x1 = x2) & n_indoor(x2)))
7c0df8be-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007627490413142368, 0.0004097373166587204, 0.9995139837265015 ]
One male lifting an item from the ocean while wearing a life vest and helmet.
The man is lifting something.
0
-100
A male is a man, and he was lifting an item.
(-x)
(-x)
7c0dfd78-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9747811555862427, 0.024671418592333794, 0.0005474279751069844 ]
A man is shaking hands with a mannequin.
The mannequin punches the guy.
2
-100
Shaking is not punching.
exists e1 x1 x2 x3.(with(e1,x3) & n_mannequin(x3) & Theme(e1,x2) & Actor(e1,x1) & v_shake(e1) & n_hand(x2) & n_man(x1))
exists e1 x1 x2.(n_guy(x2) & n_mannequin(x1) & Theme(e1,x2) & Actor(e1,x1) & v_punch(e1))
7c0e021e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0011481723049655557, 0.06798245757818222, 0.9308693408966064 ]
A man is shaking hands with a mannequin.
A guy touches a mannequin.
1
-100
Shaking hands doesn't imply touches.
(-x)
(-x)
7c0e06ce-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9814077019691467, 0.017390664666891098, 0.0012016426771879196 ]
A man is shaking hands with a mannequin.
A man touches an object.
0
-100
the most common way one touches is with ones hands
(-x)
(-x)
7c0e0b88-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9903777837753296, 0.009207578375935555, 0.0004145957645960152 ]
A man shakes hands with a mannequin and gives it a "thumbs up" sign.
The man is shopping
1
-100
The fact that man shakes hands with a mannequin doesn't imply he is shopping.
exists e1 e2 e3 s1 x1 x2 x3 x4 x5 x6 x7.(Recipient(e3,x1) & Theme(e3,x5) & Actor(e3,x4) & v_give(e3) & a_up(s1) & Manner(e2,s1) & Theme(e2,x7) & Actor(e2,x6) & v_thumb(e2) & (x1 = x7) & n_a(x6) & n_thing(x1) & n_sign(x5) & n_man(x4) & with(e1,x3) & n_mannequin(x3) & Theme(e1,x2) & Actor(e1,x1) & v_shake(e1) & n_hand(x2) & n_man(x1))
exists p1 x1.(n_man(x1) & exists x2.((x1 = x2) & n_shopping(x2)))
7c0e11f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.040925782173871994, 0.9164794683456421, 0.04259472340345383 ]
A man shakes hands with a mannequin and gives it a "thumbs up" sign.
The man is sleeping in bed
2
-100
He can't shake hands and be sleeping.
(-x)
(-x)
7c0e1830-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006478757131844759, 0.00036327738780528307, 0.9995718598365784 ]
A man shakes hands with a mannequin and gives it a "thumbs up" sign.
A man is standing by a mannequin
0
-100
if someone shakes hands they need to by standing by each other
exists e1 e3 e2 s1 x1 x2 x3 x4 x5 x6 x7.(Recipient(e3,x1) & Theme(e3,x5) & Actor(e3,x4) & v_give(e3) & a_up(s1) & Manner(e2,s1) & Theme(e2,x7) & Actor(e2,x6) & v_thumb(e2) & (x1 = x7) & n_a(x6) & n_thing(x1) & n_sign(x5) & n_man(x4) & with(e1,x3) & n_mannequin(x3) & Theme(e1,x2) & Actor(e1,x1) & v_shake(e1) & n_hand(x2) & n_man(x1))
exists e1 x1 x2.(by(e1,x2) & n_mannequin(x2) & Actor(e1,x1) & v_stand(e1) & n_man(x1))
7c0e1d9e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.877784788608551, 0.11154553294181824, 0.01066977996379137 ]
A guy shakes hands with a plastic dummy and gives the dummy a thumbs up with the other hand.
The dummy said "Congratulations" to the man.
2
-100
Shakes hands isn't saying something.
(-x)
(-x)
7c0e22b2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.018259165808558464, 0.8798297047615051, 0.10191114246845245 ]
A guy shakes hands with a plastic dummy and gives the dummy a thumbs up with the other hand.
A man shaking hand with a dummy is rather silly.
0
-100
shaking hands with a plastic dummy is indeed silly
(-x)
(-x)
7c0e2794-e4c8-11ec-9cdd-0242ac1c0002
[ 0.12473362684249878, 0.8663416504859924, 0.008924640715122223 ]
A guy shakes hands with a plastic dummy and gives the dummy a thumbs up with the other hand.
The man is doing this to be funny in front of his friends.
1
-100
The fact that a guy shakes hands with a plastic dummy and gives the dummy a thumbs up doesn't imply that he is doing it to be funny in front of his friends.
exists e1 x1 x2 x3 x4 x5.(all x6.(n_thumb(x6) -> exists e2 s1.(a_up(s1) & Manner(e2,s1) & with(e2,x2) & Theme(e2,x3) & Actor(e2,x5) & v_give(e2) & for(x3,x6))) & -(x2 = x2) & n_hand(x2) & n_hand(x2) & n_dummy(x3) & n_dummy(x3) & n_guy(x5) & with(e1,x3) & of(x3,x4) & n_plastic(x4) & Theme(e1,x2) & Actor(e1,x1) & v_shake(e1) & n_guy(x1))
exists e1 p1 x1 x2 x4.(n_friend(x4) & of(x4,x2) & n_male(x2) & n_thing(x2) & n_man(x1) & Topic(e1,p1) & exists s1 x3.(in(s1,x3) & of(x3,x4) & n_front(x3) & Theme(s1,x1) & a_funny(s1)) & Theme(e1,x2) & Actor(e1,x1) & v_do(e1))
7c0e2e6a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0006087536457926035, 0.9987174272537231, 0.000673786795232445 ]
Boy in yellow shirt getting picture taken surrounded by pigeons
A boy is near pigeons.
0
-100
if you are surrounded by pigeons then you are near pigeons
(-x)
(-x)
7c0e3932-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9790377616882324, 0.019935669377446175, 0.0010265512391924858 ]
Boy in yellow shirt getting picture taken surrounded by pigeons
A boy is feeding the pigeons.
1
-100
The fact that the boy is surrounded by pigeons doesn't imply that he is feeding them.
(-x)
(-x)
7c0e3ec8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003087144810706377, 0.8240021467208862, 0.17291073501110077 ]
Boy in yellow shirt getting picture taken surrounded by pigeons
A boy is feeding ducks.
2
-100
Getting picture taken isn't feeding.
(-x)
(-x)
7c0e440e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00018693730817176402, 0.019446883350610733, 0.9803661704063416 ]
A man in a black coat is setting up his camera to take pictures with.
A man is setting his camera up to take pictures of the presidents arrival.
1
-100
Just because a man is setting up his camera doesn't mean he is taking pictures of the presidents arrival.
(-x)
(-x)
7c0e48d2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00019827758660539985, 0.9967952370643616, 0.0030064701568335295 ]
A man in a black coat is setting up his camera to take pictures with.
A man is setting up his computer
2
-100
The man is either setting up his computer or setting up his camera.
(-x)
(-x)
7c0e4d82-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006785447476431727, 0.00040398401324637234, 0.9995282888412476 ]
A man in a black coat is setting up his camera to take pictures with.
A man is setting up his camera.
0
-100
Setting up his camera is common
(-x)
(-x)
7c0e5214-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9875829815864563, 0.011539276689291, 0.000877617858350277 ]
Young man posing with a mannequin.
the man is young
0
-100
The man is described as young.
(-x)
(-x)
7c0e56b0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9361529350280762, 0.06256836652755737, 0.0012786603765562177 ]
Young man posing with a mannequin.
the man is small
1
-100
Not every man is small.
(-x)
(-x)
7c0e5b74-e4c8-11ec-9cdd-0242ac1c0002
[ 0.11265672743320465, 0.8745397329330444, 0.012803471647202969 ]
Young man posing with a mannequin.
the man is not posing
2
-100
Posing is opposite of not posing.
(-x)
(-x)
7c0e62cc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0026734003331512213, 0.0074628423899412155, 0.9898636937141418 ]
Woman in a black dress walking on the street.
A man in a pink dress is running on the street.
2
-100
A woman isn't a man.
(-x)
(-x)
7c0e6826-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005026264625485055, 0.0006434434908442199, 0.999306321144104 ]
Woman in a black dress walking on the street.
A woman in a black dress on the street is walking to the store.
1
-100
Woman walking on the street doesn't imply that she is walking to the store.
(-x)
(-x)
7c0e6de4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003359309397637844, 0.9958912134170532, 0.0007494438323192298 ]
Woman in a black dress walking on the street.
A woman in a black dress is going from one place to another.
0
-100
walking its a way of going somewhere
(-x)
(-x)
7c0e7302-e4c8-11ec-9cdd-0242ac1c0002
[ 0.752772331237793, 0.24628865718841553, 0.0009390420163981616 ]
A skateboarder is being photographed jumping off a step.
The skateboarder is eating tacos.
2
-100
Being photographed is not eating.
(-x)
(-x)
7c0e7802-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000039007136365398765, 0.0007791062816977501, 0.9991819262504578 ]
A skateboarder is being photographed jumping off a step.
The skateboarder knows how to ride a skateboard.
0
-100
if one is jumping on a skateboard one know how to ride it
(-x)
(-x)
7c0e7d2a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9585922360420227, 0.04013493284583092, 0.001272850320674479 ]
A skateboarder is being photographed jumping off a step.
The photographer is taking pictures for a magazine.
1
-100
the pictures are not necessarily for a magazine
(-x)
(-x)
7c0e823e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0005693656858056784, 0.9986977577209473, 0.0007328173378482461 ]
A man in a white hard hat pulls a sea probe that is hoisted over the side of the boat.
A man in a hard hat pulls a white thing hoisted over the side of the boat.
1
-100
the thing is not necessarily white
(-x)
(-x)
7c0e89d2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.45928388833999634, 0.533810019493103, 0.006906106602400541 ]
A man in a white hard hat pulls a sea probe that is hoisted over the side of the boat.
A hatless man pulls a white thing hoisted over the side of the boat.
2
-100
A man can't be in a hat and hatless.
(-x)
(-x)
7c0e8f7c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.012647045776247978, 0.012328919023275375, 0.9750239849090576 ]
A man in a white hard hat pulls a sea probe that is hoisted over the side of the boat.
A man in a hard hat pulls something hoisted over the side of the boat.
0
-100
man in a white hard hat pulls a sea probe is just as man in a hard hat pulls something
(-x)
(-x)
7c0e96c0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9746495485305786, 0.02455173060297966, 0.0007986471755430102 ]
Several people, one being a woman in a black dress, are outside, near a bike rack.
people outside near a bike rack getting ready to go for a ride
1
-100
Cant infer that the people are getting ready to go for a ride. They could just be standing by the bike rack
(-x)
(-x)
7c0e9b7a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.020418759435415268, 0.9782848954200745, 0.001296411151997745 ]
Several people, one being a woman in a black dress, are outside, near a bike rack.
people walking on the beach
2
-100
If the people are near a bike rack, then they cannot simultaneously be walking on the beach (there are no bike racks on beaches)
(-x)
(-x)
7c0ea0e8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0580575093626976, 0.7769807577133179, 0.1649617701768875 ]
Several people, one being a woman in a black dress, are outside, near a bike rack.
people outside near a bike rack
0
-100
A woman in a black dress is a person.
(-x)
(-x)
7c0ea688-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9831178188323975, 0.01625322550535202, 0.0006289394223131239 ]
A man chains his bike to a rack while a woman in black and red walks.
A man is entering his car
2
-100
A bike isn't a car.
(-x)
(-x)
7c0eab88-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007446912059094757, 0.0011770405108109117, 0.9987485408782959 ]
A man chains his bike to a rack while a woman in black and red walks.
A man is securing his bike
0
-100
man chains his bike to a rack simply means man is securing his bike
(-x)
(-x)
7c0eb1aa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8329964876174927, 0.16458208858966827, 0.0024213402066379786 ]
A man chains his bike to a rack while a woman in black and red walks.
A man is worried about thieves
1
-100
the man is not necessarily worried
(-x)
(-x)
7c0eb6e6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004887216724455357, 0.9930703043937683, 0.0020424562972038984 ]
A man in blue pants and no shirt is doing a skateboard trick while another man films it.
Man is sitting on a skateboard.
2
-100
Doing a trick is not sitting.
(-x)
(-x)
7c0ebc90-e4c8-11ec-9cdd-0242ac1c0002
[ 0.020471904426813126, 0.06576523929834366, 0.9137628674507141 ]
A man in blue pants and no shirt is doing a skateboard trick while another man films it.
Man is in the air with skateboard.
1
-100
the trick is not necessarily in the air
(-x)
(-x)
7c0ec1ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.533659040927887, 0.4571531414985657, 0.009187856689095497 ]
A man in blue pants and no shirt is doing a skateboard trick while another man films it.
Man is filming.
0
-100
If another man films it then a man is filming.
(-x)
(-x)
7c0ec6e0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9403281211853027, 0.0566750206053257, 0.00299684121273458 ]
The woman wearing a red bow walks past a bicycle.
A woman walking near a bicycle shop.
1
-100
the woman is not necessarily near a shop
(-x)
(-x)
7c0ecbfe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.029872601851820946, 0.9683594107627869, 0.0017679386073723435 ]
The woman wearing a red bow walks past a bicycle.
A woman with a bow walking near a bike.
0
-100
woman wearing a red bow walks past a bicycle simply means woman with a bow walking near a bike
(-x)
(-x)
7c0ed19e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9753634929656982, 0.023729348555207253, 0.0009071202948689461 ]
The woman wearing a red bow walks past a bicycle.
A woman riding a fairy across a river.
2
-100
Wearing isn't riding.
(-x)
(-x)
7c0ed70c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0002473099739290774, 0.009999928995966911, 0.9897527694702148 ]
Surfers and families are at a beach on an overcast day.
There is an overcast at the beach.
0
-100
beach on an overcast day is just as there is an overcast at the beach.
(-x)
(-x)
7c0edc2a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9777876138687134, 0.020708009600639343, 0.0015043787425383925 ]
Surfers and families are at a beach on an overcast day.
Surfers and families are at a beach for a tournament.
1
-100
the people is not necessarily there for a tournament
(-x)
(-x)
7c0ee256-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000506488315295428, 0.9989587068557739, 0.0005348175182007253 ]
Surfers and families are at a beach on an overcast day.
It is sunny at the beach.
2
-100
Overcast isn't sunny.
(-x)
(-x)
7c0ee792-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003377714194357395, 0.011112721636891365, 0.9855095744132996 ]
A man riding a horse at a rodeo.
A man rides a horse.
0
-100
Riding and rides are the same words but in a different verb tense.
(-x)
(-x)
7c0eeca6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9898843765258789, 0.00945993047207594, 0.0006556767621077597 ]
A man riding a horse at a rodeo.
A man rides his favorite horse.
1
-100
A man can ride a horse that is not his favorite.
(-x)
(-x)
7c0ef1b0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0012863643933087587, 0.9983276724815369, 0.0003860116412397474 ]
A man riding a horse at a rodeo.
A man rides a bull.
2
-100
You can either ride a horse or a bull.
(-x)
(-x)
7c0ef6ce-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00020347326062619686, 0.0015495049301534891, 0.9982470273971558 ]
A group of people are gathered on the beach, one man is carrying a surfboard out of the water.
A group of people are watching a man surf.
1
-100
the man was not necessarily walking from the water after a surf session
(-x)
(-x)
7c0efcaa-e4c8-11ec-9cdd-0242ac1c0002
[ 0.134427011013031, 0.8419728875160217, 0.02360014244914055 ]
A group of people are gathered on the beach, one man is carrying a surfboard out of the water.
A group of people are at the beach.
0
-100
group of people are gathered on the beach simply means group of people are at the beach
(-x)
(-x)
7c0f01f0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9851642847061157, 0.014102736487984657, 0.0007329962681978941 ]
A group of people are gathered on the beach, one man is carrying a surfboard out of the water.
A group of people are gathered at an amusement park.
2
-100
An amusement park isn't a beach.
(-x)
(-x)
7c0f07ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001433647848898545, 0.002145217265933752, 0.9977114200592041 ]
A group of people walking on the surf, two of which are men holding their surfboards, one is blue and one is white.
The people are finding a good wave to surf on.
1
-100
the people are not necessarily looking for a good wave
(-x)
(-x)
7c0f0d12-e4c8-11ec-9cdd-0242ac1c0002
[ 0.029350344091653824, 0.9685057401657104, 0.0021438458934426308 ]
A group of people walking on the surf, two of which are men holding their surfboards, one is blue and one is white.
The people are surfing out in the ocean.
2
-100
It is stated that the people are walking on the surf, not surfing out in the ocean.
(-x)
(-x)
7c0f1244-e4c8-11ec-9cdd-0242ac1c0002
[ 0.23218481242656708, 0.4621010422706604, 0.30571413040161133 ]
A group of people walking on the surf, two of which are men holding their surfboards, one is blue and one is white.
There are people with surfboards in the water.
0
-100
people walking on the surf is same as people with surfboards
(-x)
(-x)
7c0f1780-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8726791143417358, 0.10553188621997833, 0.021788926795125008 ]
A man in football gear is running with the football with an opposing team member not far behind him going in for a tackle.
A group of people are playing football.
0
-100
man in football gear is running with the football with an opposing team member is just as group of people are playing football
(-x)
(-x)
7c0f1cb2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9412946701049805, 0.056493375450372696, 0.0022120401263237 ]
A man in football gear is running with the football with an opposing team member not far behind him going in for a tackle.
The football player is holding a ham because they lost the football.
2
-100
The football player can be running with either the football or the ham.
(-x)
(-x)
7c0f2450-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004979960503987968, 0.06254217028617859, 0.9369597434997559 ]
A man in football gear is running with the football with an opposing team member not far behind him going in for a tackle.
The player with the ball is running towards the end zone so he can score a touchdown.
1
-100
the player is not necessarily running towards the end zone
(-x)
(-x)
7c0f2a0e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.006709878332912922, 0.986855149269104, 0.006435001734644175 ]
A young man in a purple American football uniform is attempting to allude the tackle of another young man in a white uniform.
The people are competing in a football championship game.
1
-100
Attempting to allude does not imply competing in a championship game.
(-x)
(-x)
7c0f2fa4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0017893115291371942, 0.9956802129745483, 0.002530414843931794 ]
A young man in a purple American football uniform is attempting to allude the tackle of another young man in a white uniform.
The people are playing football.
0
-100
The American uniform the men were wearing indicated playing football.
(-x)
(-x)
7c0f34c2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9351057410240173, 0.06342156231403351, 0.001472623203881085 ]
A young man in a purple American football uniform is attempting to allude the tackle of another young man in a white uniform.
The people are playing tennis.
2
-100
Tennis is different than football.
(-x)
(-x)
7c0f39b8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004929078204440884, 0.00047048626584000885, 0.9994801878929138 ]
A football player in a blue, black, and gold uniform evading a player from an opposing team.
A football player in a blue, black, and gold uniform not evading a player
2
-100
The football player can either be evading a player from the opposing team, or not evading a player.
(-x)
(-x)
7c0f3eae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.003934300038963556, 0.011709964834153652, 0.9843557476997375 ]
A football player in a blue, black, and gold uniform evading a player from an opposing team.
A football player in a blue, black, and gold uniform evading a player
0
-100
football player in a blue, black, and gold uniform evading a player is same as football player in a blue, black, and gold uniform evading a player
(-x)
(-x)
7c0f4390-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9675947427749634, 0.03049786575138569, 0.0019073574803769588 ]