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 man is using his computer while seated at a desk.
A man searches the internet sitting down.
1
-100
Man using his computer does not imply he searches the internet.
(-x)
(-x)
498746ac-e4c8-11ec-9cdd-0242ac1c0002
[ 0.36042582988739014, 0.6364685893058777, 0.003105605486780405 ]
A man is using his computer while seated at a desk.
A woman drinks a beer at her desk.
2
-100
It is either a man or woman.
(-x)
(-x)
49874af8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000058681591326603666, 0.00032766221556812525, 0.9996137022972107 ]
A man is using his computer while seated at a desk.
A man sits at a desk.
0
-100
He can use a computer while he sits at a desk.
(-x)
(-x)
49874f4e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9899657964706421, 0.00931468978524208, 0.0007195374346338212 ]
A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.
Someone is filming.
0
-100
Women on a picnic at a park that have someone filming.
(-x)
(-x)
498755de-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9446283578872681, 0.05456794053316116, 0.0008037039078772068 ]
A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.
Everyone wearing formal clothes is inside.
2
-100
Park is not inside.
(-x)
(-x)
49875c0a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006176979513838887, 0.0009613115107640624, 0.9989769458770752 ]
A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.
Someone is operating a microphone.
1
-100
Camera crew filming does not imply someone is operating a microphone.
(-x)
(-x)
498760ec-e4c8-11ec-9cdd-0242ac1c0002
[ 0.036457862704992294, 0.7562549114227295, 0.20728717744350433 ]
man sitting down playing a game of chess alone
A guy playing a board game by himself.
0
-100
Chess is a board game and one who playing by himself is another way to say he is playing alone.
(-x)
(-x)
498765a6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9262681007385254, 0.07095668464899063, 0.0027751335874199867 ]
man sitting down playing a game of chess alone
The man taking a snooze.
2
-100
Taking a snooze is different than sitting down.
(-x)
(-x)
49876a74-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000056019936891971156, 0.0019602985121309757, 0.9979836940765381 ]
man sitting down playing a game of chess alone
A human sitting down playing one game of chess alone.
1
-100
You can not infer it's a human.
(-x)
(-x)
49876f24-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7319949269294739, 0.2660795748233795, 0.0019255273509770632 ]
Young woman running as two guys in the back try to catch up to her.
group of people running
0
-100
If the woman is running and the men are trying to catch up, it is implied they are also running so all the people in the group are running.
(-x)
(-x)
498774a6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9111833572387695, 0.08308578282594681, 0.005730831529945135 ]
Young woman running as two guys in the back try to catch up to her.
women runs for her life
1
-100
You can not infer she runs.
(-x)
(-x)
498779ce-e4c8-11ec-9cdd-0242ac1c0002
[ 0.037065938115119934, 0.9553515911102295, 0.007582481484860182 ]
Young woman running as two guys in the back try to catch up to her.
women has coffee with two guys
2
-100
Having coffee and running are two different things.
(-x)
(-x)
49877fb4-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000139058698550798, 0.0021150135435163975, 0.997745931148529 ]
A man in a blue shirt sits outside alone with a chessboard laid out in front of him.
A man in a blue shirt sitting outside behind a large wooden chessboard.
1
-100
All chessboard are not wooden.
(-x)
(-x)
4987854a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.030798301100730896, 0.9673303961753845, 0.0018712671007961035 ]
A man in a blue shirt sits outside alone with a chessboard laid out in front of him.
Someone sitting outside behind a chessboard.
0
-100
A man is ready to play chess at a chessboard.
(-x)
(-x)
49878a40-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8972717523574829, 0.09979533404111862, 0.00293291499838233 ]
A man in a blue shirt sits outside alone with a chessboard laid out in front of him.
Two elderly men playing Scrabble.
2
-100
Scrabble is different than chessboard.
(-x)
(-x)
49878f04-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00012420174607541412, 0.001246944535523653, 0.9986289739608765 ]
A man dressed in blue shirt and shorts sits at a table while playing black in chess.
Two men are playing chess
1
-100
A man playing chess does not imply two men are involved in playing.
(-x)
(-x)
498793e6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.12521062791347504, 0.3274822533130646, 0.5473071336746216 ]
A man dressed in blue shirt and shorts sits at a table while playing black in chess.
The man is jogging
2
-100
Sits is different than jogging.
(-x)
(-x)
498798be-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00005631090607494116, 0.0012971353717148304, 0.9986465573310852 ]
A man dressed in blue shirt and shorts sits at a table while playing black in chess.
A man is playing a game
0
-100
There is a man at the table playing a game of chess.
(-x)
(-x)
49879da0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9466456770896912, 0.05248543247580528, 0.0008687690715305507 ]
A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.
A man sits in front of a set up chess game.
0
-100
If the chess game is set up on the table the man is in front of, then he is in front of a set up chess game.
(-x)
(-x)
4987a354-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9826167225837708, 0.016461100429296494, 0.0009221190121024847 ]
A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.
A man is waiting for his chess opponent to arrive.
1
-100
You can not infer he is waiting on an opponent.
(-x)
(-x)
4987a87c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004705002065747976, 0.9929893016815186, 0.002305700909346342 ]
A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.
A grandma plays a game of connect four at the rotary club meeting.
2
-100
Connect four is different than chess. Young man is different gender than grandma.
(-x)
(-x)
4987ad5e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004294699465390295, 0.0005786954425275326, 0.9993784427642822 ]
A young Asian man sits behind a set chessboard waiting for the other player to arrive.
A young man is sitting.
0
-100
If he sits behind a chessboard, it is known that he is sitting.
(-x)
(-x)
4987b240-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9838238954544067, 0.015498010441660881, 0.0006780813564546406 ]
A young Asian man sits behind a set chessboard waiting for the other player to arrive.
A young man is on Mars.
2
-100
Mars and chessboard are two different things.
(-x)
(-x)
4987b70e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00004503729360294528, 0.0009235489415004849, 0.9990314245223999 ]
A young Asian man sits behind a set chessboard waiting for the other player to arrive.
A young man is indoors.
1
-100
You can not infer he is indoors.
(-x)
(-x)
4987bc0e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7801901698112488, 0.21750038862228394, 0.0023094573989510536 ]
Two young men drink beer, leaning on a graffitied wall.
The men are drinking.
0
-100
If they drink beer, we know they are drinking.
(-x)
(-x)
4987c078-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9737390279769897, 0.025018706917762756, 0.0012422484578564763 ]
Two young men drink beer, leaning on a graffitied wall.
The men are being sprayed with cans of paint while they are passes out drunk in the alley.
2
-100
Sprayed and drink are two different things.
(-x)
(-x)
4987c4d8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0016716306563466787, 0.3131600618362427, 0.6851683259010315 ]
Two young men drink beer, leaning on a graffitied wall.
The men are standing in urine.
1
-100
You can not infer they are in urine.
(-x)
(-x)
4987c988-e4c8-11ec-9cdd-0242ac1c0002
[ 0.009178074076771736, 0.33739256858825684, 0.6534294486045837 ]
A man being airlifted to safety after being in danger.
The helicopter is moving people in danger.
1
-100
Only one person can be in danger it doesn't have to be multiple people.
(-x)
(-x)
4987ceba-e4c8-11ec-9cdd-0242ac1c0002
[ 0.827070415019989, 0.1636776328086853, 0.009251924231648445 ]
A man being airlifted to safety after being in danger.
A man is being moved.
0
-100
Being airlifted involves being moved so the man was moved.
(-x)
(-x)
4987d31a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9857438206672668, 0.013449563644826412, 0.0008066318114288151 ]
A man being airlifted to safety after being in danger.
The helicopter is putting people in a dangerous area.
2
-100
Putting people in a dangerous area is not airlifting them to safety.
(-x)
(-x)
4987d77a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.10204463452100754, 0.07285480946302414, 0.8251006007194519 ]
People in a meeting setting paying attention to a speaker in an orange shirt.
The people are listening to music on their CD players.
2
-100
Paying attention to a speaker is different from listening to music.
(-x)
(-x)
4987dbc6-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004990051384083927, 0.13383734226226807, 0.8656636476516724 ]
People in a meeting setting paying attention to a speaker in an orange shirt.
The people are listening to a speaker.
0
-100
If people are paying attention to a speaker, it is implied they are listening to a speaker.
(-x)
(-x)
4987e01c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9688346982002258, 0.030078371986746788, 0.0010868884855881333 ]
People in a meeting setting paying attention to a speaker in an orange shirt.
The speaker is the people's boss.
1
-100
You can not infer it's their boss.
(-x)
(-x)
4987e45e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0020696453284472227, 0.994293212890625, 0.003637208603322506 ]
A meeting of young people sitting at a conference table.
young people are at a party having fun
2
-100
The location is either a party or conference table.
(-x)
(-x)
4987e9ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0001124058835557662, 0.006138353142887354, 0.9937492609024048 ]
A meeting of young people sitting at a conference table.
young people are learning about politics
1
-100
The young people must not be learning about politics.
(-x)
(-x)
4987eefe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0009545314242132008, 0.9961292743682861, 0.002916209399700165 ]
A meeting of young people sitting at a conference table.
young people are gathered around a table
0
-100
the people gathered around the conference table are young
(-x)
(-x)
4987f5fc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9546582698822021, 0.04378547519445419, 0.0015562555054202676 ]
A woman in a red shirt is speaking at a table in a room where three other people are listening to her.
the woman is going to the park.
1
-100
A woman speaking does not imply she is going to the park.
(-x)
(-x)
4987fb60-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0002199523150920868, 0.032794609665870667, 0.9669854044914246 ]
A woman in a red shirt is speaking at a table in a room where three other people are listening to her.
the woman is swimming in the lake.
2
-100
Swimming is different than speaking.
(-x)
(-x)
49880042-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000041915816836990416, 0.00045187908108346164, 0.9995061159133911 ]
A woman in a red shirt is speaking at a table in a room where three other people are listening to her.
the woman is wearing a red shirt.
0
-100
There is a woman who is talking in a room has on a red shirt.
(-x)
(-x)
49880506-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9832131266593933, 0.01581784151494503, 0.0009690785664133728 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
A woman talks to others indoors.
0
-100
A woman talks to people in a another indoor office building.
(-x)
(-x)
498809de-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9875212907791138, 0.011400419287383556, 0.0010783200850710273 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
a woman in an office building talks to a group of three taking notes on a notepad
1
0.831157
A woman with two other women and a man does not make a group of three and just because they are having notepads does not imply they are taking notes.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists e1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & to(x1,x5) & of(x5,x6) & on(e1,x9) & n_notepad(x9) & Theme(e1,x8) & Actor(e1,x7) & v_take(e1) & n_note(x8) & (x6 = x7) & n_thing(x6) & card_eq_3(x6) & n_group(x5) & in(x1,x2) & n_talk(x2) & of(x2,x4) & n_building(x4) & of(x2,x3) & n_office(x3) & n_woman(x1))
49880ee8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.4929099678993225, 0.3561721742153168, 0.1509178876876831 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
a man talks to ducks in a pond
2
-100
Woman is different than man.
(-x)
(-x)
498813ca-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00006829631456639618, 0.0004122536047361791, 0.9995194673538208 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
the woman is white
1
0.719683
All woman are not white.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists s1 x1.(n_woman(x1) & Theme(s1,x1) & a_white(s1))
49881ac8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0004372152325231582, 0.9984758496284485, 0.001086947275325656 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
a woman in an office building talks to two other women and a man with notepads
0
-100
A woman talks to two other people with notepads in a different office building.
(-x)
(-x)
49881f64-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9823290705680847, 0.016711486503481865, 0.0009594027069397271 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
A woman talks to dogs inside an office building.
2
-100
Women and dogs are different.
(-x)
(-x)
498823ce-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0003426358161959797, 0.011499602347612381, 0.9881576895713806 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
the woman is asleep at home
2
-100
Talks is different than asleep.
(-x)
(-x)
49882824-e4c8-11ec-9cdd-0242ac1c0002
[ 0.000041611612687120214, 0.0006046327180229127, 0.99935382604599 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
The people are outside of the building looking inside.
2
0
Talks is different than looking inside.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists e2 e1 s1 x1 x2.(n_building(x2) & n_people(x1) & for(e1,e2) & a_inside(s1) & Manner(e2,s1) & Actor(e2,x1) & v_look(e2) & of(e1,x2) & r_outside(e1) & Actor(e1,x1) & v_be(e1))
49882c70-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01610408164560795, 0.08048863708972931, 0.9034072756767273 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
a woman is talking
0
-100
Two people are talking to woman with notepads in a office building.
(-x)
(-x)
498830d0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9796305894851685, 0.019726315513253212, 0.0006430841749534011 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
A woman talks to others indoors about lunch.
1
0.212319
People taking in an office building with large windows does not imply they are indoors and they need not talk about lunch.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists x1 x2 x3 x4 x5.(a_topic(x1) & about(x1,x5) & n_lunch(x5) & Time(x1,x4) & n_indoor(x4) & to(x1,x3) & -(x3 = x1) & n_person(x1) & n_person(x3) & n_talk(x1) & of(x1,x2) & n_woman(x2))
49883526-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004533151164650917, 0.994696855545044, 0.0007699171546846628 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
Four people stand near a wall speaking to each other.
0
-100
People talks with each other with notepads in a large windowed office.
(-x)
(-x)
49883968-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6732317209243774, 0.2759731411933899, 0.05079510435461998 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
A woman talks to three other women.
2
-100
Two is different than three.
(-x)
(-x)
49883e0e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010967107489705086, 0.01796419359743595, 0.9710686802864075 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
A woman happily talks to two other women.
1
0.513145
All talks are not necessarily done happily.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists e1 s1 x1 x2.(a_happily(s1) & Manner(e1,s1) & to(e1,x2) & -(x2 = x1) & n_woman(x1) & n_woman(x1) & n_woman(x2) & card_eq_2(x2) & Actor(e1,x1) & v_talk(e1))
498843ae-e4c8-11ec-9cdd-0242ac1c0002
[ 0.002506461925804615, 0.9967836141586304, 0.0007098987116478384 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
The group are discussing a project.
1
0.869362
All group talks need not be a discussion on a project.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists e1 x1 x2.(n_group(x1) & Theme(e1,x2) & Actor(e1,x1) & v_discuss(e1) & n_project(x2))
49884822-e4c8-11ec-9cdd-0242ac1c0002
[ 0.004059528466314077, 0.9954434633255005, 0.0004970090230926871 ]
A woman talks to two other women and a man with notepads in an office building with large windows.
A woman talks to two other women.
0
0.882253
There are women talking on notepads in an office building.
exists s1 x1 x2 x3 x4 x5 x6 x7 x8 x9.(a_topic(x1) & with(x1,x9) & n_window(x9) & a_large(s1) & Theme(s1,x9) & to(x1,x3) & subset_of(x5,x3) & with(x5,x6) & in(x6,x7) & n_building(x7) & of(x7,x8) & n_office(x8) & n_notepad(x6) & n_man(x5) & subset_of(x4,x3) & -(x4 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x4) & card_eq_2(x4) & n_talk(x1) & of(x1,x2))
exists x1 x2 x3.(a_topic(x1) & to(x1,x3) & -(x3 = x2) & n_woman(x2) & n_woman(x2) & n_woman(x3) & card_eq_2(x3) & n_talk(x1) & of(x1,x2))
49884ca0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.993257999420166, 0.006011598277837038, 0.0007304986356757581 ]
A classroom of students discussing lecture.
The students are running in P.E. class.
2
-100
Discussing lecture is different than running.
(-x)
(-x)
4988511e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00009208129631588235, 0.002264171838760376, 0.997643768787384 ]
A classroom of students discussing lecture.
A classroom is discussing the topics of the day.
0
-100
The topics of the day in a classroom setting are included in the lecture.
(-x)
(-x)
49885588-e4c8-11ec-9cdd-0242ac1c0002
[ 0.43957939743995667, 0.5532534718513489, 0.007167099043726921 ]
A classroom of students discussing lecture.
The students are discussing the lecture in history class.
1
-100
You can not infer they are in history class.
(-x)
(-x)
498859e8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0005875903880223632, 0.998764157295227, 0.0006482887547463179 ]
A man holds a clipboard and a pen as a woman looks at them.
The man is working
1
-100
You can not infer he is working.
(-x)
(-x)
49885e48-e4c8-11ec-9cdd-0242ac1c0002
[ 0.28186777234077454, 0.709699273109436, 0.008432895876467228 ]
A man holds a clipboard and a pen as a woman looks at them.
The woman is asleep
2
-100
A man and woman are different genders.
(-x)
(-x)
498862a8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00014489138266071677, 0.009873504750430584, 0.9899815917015076 ]
A man holds a clipboard and a pen as a woman looks at them.
A woman is looking at a man's possessions
0
-100
It is implied if the man holds a clipboard and pen they are his possessions and if a woman looks at them we know she is looking.
(-x)
(-x)
498868e8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.7135564684867859, 0.28456923365592957, 0.0018742342945188284 ]
A man with a bright green shirt is talking to a woman in a pink shirt.
A couple are eating dinner.
2
-100
A couple means more than a man.
(-x)
(-x)
49886dde-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0017608028138056397, 0.2632821202278137, 0.7349570989608765 ]
A man with a bright green shirt is talking to a woman in a pink shirt.
A couple is standing outside.
1
-100
A man and woman talking to each other does not make them a couple.
(-x)
(-x)
49887374-e4c8-11ec-9cdd-0242ac1c0002
[ 0.045710962265729904, 0.9437055587768555, 0.01058347336947918 ]
A man with a bright green shirt is talking to a woman in a pink shirt.
A couple is talking.
0
-100
The man and woman are a couple.
(-x)
(-x)
49887946-e4c8-11ec-9cdd-0242ac1c0002
[ 0.4853929579257965, 0.5104603171348572, 0.004146719351410866 ]
A man in a green shirt holds out a clipboard for a woman in pink's attention.
A man wants a woman to look at his clipboard
0
-100
That a man holds out a clipboard implies he wants someone to look at it.
(-x)
(-x)
49887e28-e4c8-11ec-9cdd-0242ac1c0002
[ 0.6499127149581909, 0.348636656999588, 0.001450573094189167 ]
A man in a green shirt holds out a clipboard for a woman in pink's attention.
a man is trying to get a woman to sign something
1
-100
The man may just want to women to read something on the clipboard and not to sign something.
(-x)
(-x)
49888300-e4c8-11ec-9cdd-0242ac1c0002
[ 0.08953066915273666, 0.9092163443565369, 0.001253053778782487 ]
A man in a green shirt holds out a clipboard for a woman in pink's attention.
A man takes off his shirt to get a womans attention
2
-100
Holds out a clipboard is different than takes off his shirt.
(-x)
(-x)
498887e2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.016264351084828377, 0.14522436261177063, 0.8385112881660461 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
A man is wearing a gold shirt
2
-100
A man was in a bright green shirt. And the is a man and a woman.
(-x)
(-x)
49888ddc-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00028518581530079246, 0.002645819913595915, 0.9970690608024597 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
A man shows his boss something on a clipboard.
1
0.180199
The women may not be his boss.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists e1 s1 x1 x2 x3.(on(e1,x3) & n_clipboard(x3) & a_something(s1) & Manner(e1,s1) & Theme(e1,x2) & Actor(e1,x1) & v_show(e1) & n_boss(x2) & of(x2,x1) & n_male(x1) & n_man(x1))
49889494-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0019859052263200283, 0.9962269067764282, 0.0017872045282274485 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
A man shows a woman something.
0
-100
Something on a clipboard is something.
(-x)
(-x)
498899b2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9879497289657593, 0.011483227834105492, 0.0005670734099112451 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
The man has something to tell the woman.
0
-100
That a man shows a woman something implies he has something to tell the woman.
(-x)
(-x)
49889e94-e4c8-11ec-9cdd-0242ac1c0002
[ 0.5311664938926697, 0.4646739959716797, 0.004159475211054087 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
Two people are looking at a clipboard.
0
-100
That a man shows something on a clipboard to someone implies that both are looking at the clipboard. A man and a woman are two people.
(-x)
(-x)
4988a376-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9442410469055176, 0.05068361759185791, 0.005075281951576471 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
The woman is wearing blue.
2
-100
The woman is wearing a bright pink shirt.
(-x)
(-x)
4988a84e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0010072706500068307, 0.007920678704977036, 0.9910719990730286 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
A man is teaching a woman a concept
1
0.66347
The man may just be looking for a signature and not teaching.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists x1.(all x2.(n_concept(x2) -> exists e1 x3.(Theme(e1,x3) & Actor(e1,x1) & v_teach(e1) & for(x3,x2) & n_woman(x3))) & n_man(x1))
4988ad30-e4c8-11ec-9cdd-0242ac1c0002
[ 0.1129702776670456, 0.8847732543945312, 0.0022564101964235306 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
There is a man and a woman.
0
0.836639
That a man shows a woman something implies that there is both a man and a woman.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists p1 x1 x2 x3 x4.((x1 = x2) & subset_of(x4,x2) & n_woman(x4) & subset_of(x3,x2) & n_man(x3))
4988b280-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9909953474998474, 0.008183944970369339, 0.0008206364000216126 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
Two people are looking at notes on an electronic tablet.
2
0
The man and woman are looking at something on a clipboard.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists e1 s1 x1 x2 x3.(at(e1,x2) & on(x2,x3) & n_tablet(x3) & a_electronic(s1) & Theme(s1,x3) & n_note(x2) & Actor(e1,x1) & v_look(e1) & n_people(x1) & card_eq_2(x1))
4988b898-e4c8-11ec-9cdd-0242ac1c0002
[ 0.010543244890868664, 0.03804060444235802, 0.9514161944389343 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
The man is drinking a cup of coffee.
2
-100
The man is showing the woman something on the clipboard not drinking coffee.
(-x)
(-x)
4988bd8e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00017439226212445647, 0.016059426590800285, 0.9837661981582642 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
A man is wearing a bright green shirt
0
-100
"Man is wearing a shirt" is a rephrasing of "man in a shirt".
(-x)
(-x)
4988c25c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9772050976753235, 0.02105487510561943, 0.0017400272190570831 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
The man and the woman are employees at the same business.
1
0.76901
The man and the women may be strangers and not employees at the same business.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists p1 s1 x1 x2 x3 x5.(n_business(x5) & a_same(s1) & Theme(s1,x5) & n_woman(x3) & n_man(x2) & exists x4.((x1 = x4) & at(x4,x5) & n_employee(x4)) & subset_of(x3,x1) & subset_of(x2,x1))
4988c734-e4c8-11ec-9cdd-0242ac1c0002
[ 0.014811155386269093, 0.9821131825447083, 0.0030755966436117887 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
A man in a green shirt shows a woman his paychecks on a clipboard.
1
0.015443
The man may be showing a petition and not his paychecks on the clipboard.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists e1 s1 x1 x2 x3 x4 x5.(n_woman(x5) & Time(e1,x5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & on(x3,x4) & n_clipboard(x4) & n_paycheck(x3) & of(x3,x1) & n_male(x1) & in(x1,x2) & n_shirt(x2) & a_green(s1) & Theme(s1,x2) & n_man(x1))
4988cc84-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0021824415307492018, 0.9950789213180542, 0.002738650655373931 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
The woman shows the man a clipboard.
2
-100
The man shows the woman something on the clipboard not the woman.
(-x)
(-x)
4988d116-e4c8-11ec-9cdd-0242ac1c0002
[ 0.013814394362270832, 0.007506899535655975, 0.9786787629127502 ]
A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.
The clipboard has writting on it.
1
0.889431
The clipboard may have just a picture on it and no writting.
exists e1 s1 s2 s3 s4 s5 x1 x2 x3 x4 x5.(on(e1,x5) & n_clipboard(x5) & a_something(s5) & Manner(e1,s5) & Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & in(x3,x4) & n_shirt(x4) & a_pink(s4) & Theme(s4,x4) & a_bright(s3) & Theme(s3,x4) & n_woman(x3) & in(x1,x2) & n_shirt(x2) & a_green(s2) & Theme(s2,x2) & a_bright(s1) & Theme(s1,x2) & n_man(x1))
exists e2 e1 x1.(n_thing(x1) & n_clipboard(x1) & for(e1,e2) & on(e2,x1) & Actor(e2,x1) & v_writt(e2) & Actor(e1,x1) & v_have(e1))
4988d5da-e4c8-11ec-9cdd-0242ac1c0002
[ 0.061262521892786026, 0.917907178401947, 0.02083027921617031 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man is showing a woman a funny video on his tablet
1
0.587771
The man may be showing a document and not a funny video on the tablet.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists x1 x4.(all x2 s1.((n_video(x2) & a_funny(s1) & Theme(s1,x2)) -> exists e1 x3.(Theme(e1,x3) & Actor(e1,x1) & v_show(e1) & on(x3,x4) & for(x3,x2) & n_woman(x3))) & n_tablet(x4) & of(x4,x1) & n_male(x1) & n_man(x1))
4988db0c-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0008813895983621478, 0.9980337023735046, 0.001084931893274188 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
The tablet is turned on.
1
0.857121
The tablet may be off and not on.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists e1 s1 x1.(n_tablet(x1) & a_on(s1) & Manner(e1,s1) & Theme(e1,x1) & v_turn(e1))
4988e0a2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.04314703494310379, 0.9445155262947083, 0.012337450869381428 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
The man is on another street than the woman.
2
-100
A man holds some sort of tablet towards the woman so the had to me on the same street.
(-x)
(-x)
4988e57a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.24065403640270233, 0.1812479943037033, 0.578097939491272 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
The man and woman are outdoors.
0
-100
People being on a street implies that they are outdoors.
(-x)
(-x)
4988ea3e-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9811721444129944, 0.018045373260974884, 0.0007824719068594277 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man and a woman are outside.
0
-100
That people are on a street implies that they are outside.
(-x)
(-x)
4988eeee-e4c8-11ec-9cdd-0242ac1c0002
[ 0.98736971616745, 0.012100135907530785, 0.0005300790071487427 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man and a woman are eating in a resteraunt.
2
-100
The man was holding a tablet towards the woman so and not eating a restaurant.
(-x)
(-x)
4988f394-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00007654145156266168, 0.0019773575477302074, 0.9979462027549744 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man is stealing a woman's tablet
2
-100
A man did not steal a woman's tablet he holds out some sort of tablet towards the woman.
(-x)
(-x)
4988f858-e4c8-11ec-9cdd-0242ac1c0002
[ 0.002172136912122369, 0.8860033750534058, 0.11182454973459244 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A woman shows a cell phone to a person standing nearby.
2
-100
A man holds a tablet towards a woman. The woman didn't show a person a cell phone.
(-x)
(-x)
4988fcfe-e4c8-11ec-9cdd-0242ac1c0002
[ 0.12341751158237457, 0.20483987033367157, 0.6717426776885986 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A couple are using a tablet to watch a video on the street.
1
0.538988
The man and the woman may be strangers and not a couple. The may be reading a document and not using the tablet to watch a video.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists e1 p1 x1 x2 x4.(n_street(x4) & Theme(e1,p1) & Recipient(e1,x2) & Actor(e1,x1) & v_use(e1) & exists e2 x3.(Theme(e2,x3) & Actor(e2,x1) & v_watch(e2) & on(x3,x4) & n_video(x3)) & n_tablet(x2) & n_couple(x1))
49890212-e4c8-11ec-9cdd-0242ac1c0002
[ 0.01630495861172676, 0.9780312180519104, 0.005663844291120768 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A woman is shown a tablet by a man standing on the street.
0
-100
If there is a man on a street then it's implied the man is standing on the street.
(-x)
(-x)
4989078a-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9632571935653687, 0.03583165630698204, 0.0009111966355703771 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man having cell phone in his hand
1
0.053226
The tablet may not be a cell phone.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists e1 x1 x2 x3 x4 x5.(a_topic(x1) & in(e1,x5) & n_hand(x5) & of(x5,x1) & n_male(x1) & Theme(e1,x3) & Actor(e1,x2) & v_have(e1) & n_phone(x3) & of(x3,x4) & n_cell(x4) & (x1 = x2) & n_man(x1))
49890c58-e4c8-11ec-9cdd-0242ac1c0002
[ 0.5932187438011169, 0.2259378433227539, 0.18084339797496796 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man shows directions to a museum on a tablet to a woman nearby.
1
0.00826
We don't know if he's giving directions or not.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists e1 s1 x1 x2 x3 x4 x5.(a_nearby(s1) & Manner(e1,s1) & to(e1,x3) & on(x3,x4) & to(x4,x5) & n_woman(x5) & n_tablet(x4) & n_museum(x3) & Theme(e1,x2) & Actor(e1,x1) & v_show(e1) & n_direction(x2) & n_man(x1))
49891112-e4c8-11ec-9cdd-0242ac1c0002
[ 0.0022003736812621355, 0.9957538843154907, 0.0020457229111343622 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
There are some people in a street
0
-100
If a man and woman are on a street then there are some people on a street.
(-x)
(-x)
498915c2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.8999780416488647, 0.09836448729038239, 0.0016574145993217826 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
The man handover the cell phone to the woman
2
0.000062
A man holds out some sort of tablet towards the woman, he doesn't handover a cell phone.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists e1 x1 x2 x3 x4.(n_woman(x4) & n_phone(x2) & of(x2,x3) & n_cell(x3) & n_man(x1) & to(e1,x4) & Theme(e1,x2) & Actor(e1,x1) & v_handover(e1))
49891a72-e4c8-11ec-9cdd-0242ac1c0002
[ 0.014042899012565613, 0.1421005129814148, 0.8438565731048584 ]
A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.
A man is showing a woman something
0
0.950643
When he holds the tablet towards the woman he is showing her something.
exists e1 s1 s2 x1 x2 x3 x4 x5 x6 x7 x8 x9.(Theme(e1,x4) & Actor(e1,x1) & v_hold(e1) & towards(x4,x6) & subset_of(x9,x6) & n_shades(x9) & subset_of(x7,x6) & in(x7,x8) & n_t-shirt(x8) & a_pink(s2) & Theme(s2,x8) & n_woman(x7) & of(x4,x5) & n_tablet(x5) & n_sort(x4) & in(x1,x3) & n_t-shirt(x3) & a_bright(s1) & Theme(s1,x3) & on(x1,x2) & n_street(x2) & n_man(x1))
exists e1 s1 x1 x2.(a_something(s1) & Manner(e1,s1) & Theme(e1,x2) & Actor(e1,x1) & v_show(e1) & n_woman(x2) & n_man(x1))
49891f22-e4c8-11ec-9cdd-0242ac1c0002
[ 0.37282314896583557, 0.6253268718719482, 0.0018499766010791063 ]
A child with a yellow cup and milk all over his face.
The child spilled his milk.
1
-100
We don't know if the milk was spilled or poured on purpose.
(-x)
(-x)
498923c8-e4c8-11ec-9cdd-0242ac1c0002
[ 0.19767767190933228, 0.7961819171905518, 0.006140382494777441 ]
A child with a yellow cup and milk all over his face.
The child has a clean face.
2
-100
The child cannot have both a clean face and milk all over his face.
(-x)
(-x)
498928be-e4c8-11ec-9cdd-0242ac1c0002
[ 0.00040516385342925787, 0.0013020867481827736, 0.9982927441596985 ]
A child with a yellow cup and milk all over his face.
The child had milk all over his face.
0
-100
Child had milk all over his face it's another way of saying child with milk all over his face.
(-x)
(-x)
49892fb2-e4c8-11ec-9cdd-0242ac1c0002
[ 0.982150137424469, 0.016176503151655197, 0.001673335675150156 ]
Two barefoot men are playing on a green lawn outside a building with other people in the background.
Two men are barefoot on the lawn.
0
-100
The men must be barefoot on the lawn interested to be barefoot men playing on a lawn.
(-x)
(-x)
498934d0-e4c8-11ec-9cdd-0242ac1c0002
[ 0.9754775166511536, 0.023275049403309822, 0.0012473613023757935 ]