index
int64
1
5.38k
promptID
int64
1
5.38k
pairID
int64
1
5.38k
genre
stringclasses
90 values
sentence1_binary_parse
float64
sentence2_binary_parse
float64
sentence1_parse
float64
sentence2_parse
float64
sentence1
stringlengths
11
233
sentence2
stringlengths
10
233
label1
float64
label2
float64
label3
float64
label4
float64
label5
float64
gold_label
stringclasses
2 values
401
401
401
crowd:upward_monotone
null
null
null
null
i bought a red small diary for my mom.
i bought a red diary.
null
null
null
null
null
entailment
402
402
402
crowd:upward_monotone
null
null
null
null
i bought a red diary.
i bought a red diary in the antique store.
null
null
null
null
null
neutral
403
403
403
crowd:upward_monotone
null
null
null
null
i bought a red diary in the antique store.
i bought a red diary.
null
null
null
null
null
entailment
404
404
404
crowd:upward_monotone
null
null
null
null
we stood on the brink of a cliff.
we stood on the brink of a red cliff.
null
null
null
null
null
neutral
405
405
405
crowd:upward_monotone
null
null
null
null
we stood on the brink of a red cliff.
we stood on the brink of a cliff.
null
null
null
null
null
entailment
406
406
406
crowd:upward_monotone
null
null
null
null
we stood on the brink of a cliff.
we stood on the brink of a sea mountain cliff.
null
null
null
null
null
neutral
407
407
407
crowd:upward_monotone
null
null
null
null
a rat chewed a hole in the wall.
a rat chewed a big hole.
null
null
null
null
null
neutral
408
408
408
crowd:upward_monotone
null
null
null
null
a rat chewed a big hole in the wall.
a rat chewed a hole.
null
null
null
null
null
entailment
409
409
409
crowd:upward_monotone:conjunction
null
null
null
null
he died from lack of oxygen.
he died from lack of oxygen and heart failure.
null
null
null
null
null
neutral
410
410
410
crowd:upward_monotone
null
null
null
null
he died from lack of oxygen.
he died from a lack of oxygen in the room.
null
null
null
null
null
neutral
411
411
411
crowd:upward_monotone
null
null
null
null
he died from lack of oxygen in the room.
he died from a lack of oxygen.
null
null
null
null
null
entailment
412
412
412
crowd:upward_monotone
null
null
null
null
he died from lack of oxygen.
he dies from the lack of oxygen in space.
null
null
null
null
null
neutral
413
413
413
crowd:upward_monotone
null
null
null
null
he died from lack of oxygen in space.
he dies from the lack of oxygen.
null
null
null
null
null
entailment
414
414
414
crowd:upward_monotone
null
null
null
null
i took a taxi from the station to the hotel.
i took a fast taxi from the station to the hotel.
null
null
null
null
null
neutral
415
415
415
crowd:upward_monotone
null
null
null
null
i took a fast taxi from the station to the hotel.
i took a taxi from the station to the hotel.
null
null
null
null
null
entailment
416
416
416
crowd:upward_monotone:lexical_knowledge
null
null
null
null
senator rosario ibarra is a human rights militant.
senator activist is a human rights militant.
null
null
null
null
null
neutral
417
417
417
crowd:upward_monotone:lexical_knowledge
null
null
null
null
senator rosario ibarra is a human rights militant.
senator poltician is a human rights militant.
null
null
null
null
null
neutral
418
418
418
crowd:upward_monotone:lexical_knowledge:conjunction
null
null
null
null
senator rosario ibarra is a human rights militant.
senator and the great political figure rosario ibarra is a human rights militant.
null
null
null
null
null
neutral
419
419
419
crowd:upward_monotone
null
null
null
null
we need to buy some dog food.
we need to buy some high protein dog food.
null
null
null
null
null
neutral
420
420
420
crowd:upward_monotone
null
null
null
null
we need to buy some high protain dog food.
we need to buy some dog food.
null
null
null
null
null
entailment
421
421
421
crowd:upward_monotone
null
null
null
null
tom sprinkled some sugar on the toast.
tom sprinkled some maple sirup on the toast.
null
null
null
null
null
neutral
422
422
422
crowd:upward_monotone
null
null
null
null
tom sprinkled some sugar on the toast.
tom sprinkled some powdered sugar on the toast.
null
null
null
null
null
neutral
423
423
423
crowd:upward_monotone
null
null
null
null
tom sprinkled some powdered sugar on the toast.
tom sprinkled some sugar on the toast.
null
null
null
null
null
entailment
424
424
424
crowd:upward_monotone
null
null
null
null
tom sprinkled some sugar on the toast.
tom sprinkled some brown sugar on the toast.
null
null
null
null
null
neutral
425
425
425
crowd:upward_monotone
null
null
null
null
tom sprinkled some brown sugar on the toast.
tom sprinkled some sugar on the toast.
null
null
null
null
null
entailment
426
426
426
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom goes jogging in the park every morning.
tom goes nudging in the park every morning.
null
null
null
null
null
neutral
427
427
427
crowd:upward_monotone:conjunction
null
null
null
null
tom goes jogging in the park every morning.
tom goes jogging and yoga in the park every morning.
null
null
null
null
null
neutral
428
428
428
crowd:upward_monotone:conjunction
null
null
null
null
tom goes jogging and yoga in the park every morning.
tom goes jogging in the park every morning.
null
null
null
null
null
entailment
429
429
429
crowd:upward_monotone
null
null
null
null
a violinist i know says that he owns a stradivarius.
a violinist i know says he owns a violin shop.
null
null
null
null
null
neutral
430
430
430
crowd:upward_monotone
null
null
null
null
she said that she takes a shower every morning.
she said that she takes a shower before going out every morning.
null
null
null
null
null
neutral
431
431
431
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he had all the attributes of a leader.
he had all the attributes of a professional.
null
null
null
null
null
neutral
432
432
432
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he had all the attributes of a leader.
he had all the attributes of a rock star.
null
null
null
null
null
neutral
433
433
433
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom wants to eat some apple pie.
tom wants to eat some icecream.
null
null
null
null
null
neutral
434
434
434
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a software engineer writes computer programs.
a software engineer writes computer datas.
null
null
null
null
null
neutral
435
435
435
crowd:upward_monotone:disjunction
null
null
null
null
a kilo of figs costs 2.50 €.
a kilo of figs, apples or pear costs 2.50 €.
null
null
null
null
null
neutral
436
436
436
crowd:upward_monotone:npi
null
null
null
null
that sentence does n't exist in any song.
that sentence about oranges does n't exist in any song.
null
null
null
null
null
neutral
437
437
437
crowd:upward_monotone:lexical_knowledge:conditionals
null
null
null
null
if only we had a garden !.
if only we had an apartment !.
null
null
null
null
null
neutral
438
438
438
crowd:upward_monotone:conjunction
null
null
null
null
we play football every saturday.
we play football and volleyball every saturday.
null
null
null
null
null
neutral
439
439
439
crowd:upward_monotone:conjunction
null
null
null
null
we play football and volleyball every saturday.
we play football every saturday.
null
null
null
null
null
entailment
440
440
440
crowd:upward_monotone
null
null
null
null
a doe is a female deer.
a doe is a female white deer.
null
null
null
null
null
neutral
441
441
441
crowd:upward_monotone
null
null
null
null
a doe is a female white deer.
a doe is a female deer.
null
null
null
null
null
entailment
442
442
442
crowd:upward_monotone:lexical_knowledge
null
null
null
null
chen is not a businessperson.
jamie is not a businessperson.
null
null
null
null
null
neutral
443
443
443
crowd:upward_monotone:lexical_knowledge
null
null
null
null
chen is not a businessperson.
claire is not a businessperson.
null
null
null
null
null
neutral
444
444
444
crowd:upward_monotone:lexical_knowledge
null
null
null
null
chen is not a businessperson.
rodger is not a businessperson.
null
null
null
null
null
neutral
445
445
445
crowd:upward_monotone:lexical_knowledge
null
null
null
null
dan did n't use a mobile.
dan's father did n't use a mobile.
null
null
null
null
null
neutral
446
446
446
crowd:upward_monotone:lexical_knowledge
null
null
null
null
dan did n't use a mobile.
nick did n't use a mobile.
null
null
null
null
null
neutral
447
447
447
crowd:upward_monotone:lexical_knowledge
null
null
null
null
dan did n't use a mobile.
alex did n't use a mobile.
null
null
null
null
null
neutral
448
448
448
crowd:upward_monotone:lexical_knowledge
null
null
null
null
that boy showed no fear.
that player giving a home run without fear showed no fear.
null
null
null
null
null
neutral
449
449
449
crowd:upward_monotone
null
null
null
null
words can not express it.
unwritten words can not express it.
null
null
null
null
null
neutral
450
450
450
crowd:upward_monotone
null
null
null
null
my father takes a walk every morning.
my father takes a 45 minute walk every morning.
null
null
null
null
null
neutral
451
451
451
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a poisoned cherry may kill a duke.
a poisoned pitted fruit may kill a duke.
null
null
null
null
null
neutral
452
452
452
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a poisoned cherry may kill a duke.
a poisoned small round fruit may kill a duke.
null
null
null
null
null
neutral
453
453
453
crowd:upward_monotone:reverse
null
null
null
null
winter does not look real without snow.
winter does not look real without snow stones.
null
null
null
null
null
neutral
454
454
454
crowd:upward_monotone:reverse
null
null
null
null
winter does not look real without snow stones.
winter does not look real without snow.
null
null
null
null
null
entailment
455
455
455
crowd:upward_monotone:reverse:lexical_knowledge
null
null
null
null
winter does not look real without snow.
winter does not look real without ice.
null
null
null
null
null
neutral
456
456
456
crowd:upward_monotone:reverse:lexical_knowledge
null
null
null
null
winter does not look real without snow.
winter does not look real without blizzard.
null
null
null
null
null
neutral
457
457
457
crowd:upward_monotone:lexical_knowledge
null
null
null
null
in germany ghosts do n't pay taxes.
in germany people do n't pay taxes.
null
null
null
null
null
neutral
458
458
458
crowd:upward_monotone:lexical_knowledge
null
null
null
null
in germany ghosts do n't pay taxes.
in germany apparitions do n't pay taxes.
null
null
null
null
null
neutral
459
459
459
crowd:upward_monotone:lexical_knowledge
null
null
null
null
optimism is merely a lack of information.
happiness is merely a lack of information.
null
null
null
null
null
neutral
460
460
460
crowd:upward_monotone:lexical_knowledge
null
null
null
null
optimism is merely a lack of information.
losing optimism is merely a lack of information.
null
null
null
null
null
neutral
461
461
461
crowd:upward_monotone:lexical_knowledge
null
null
null
null
all of them have independent means.
all of them have independent transport.
null
null
null
null
null
neutral
462
462
462
crowd:downward_monotone:lexical_knowledge
null
null
null
null
tom is n't good at math.
tom is not good at exact sciences.
null
null
null
null
null
neutral
463
463
463
crowd:upward_monotone:lexical_knowledge
null
null
null
null
women do n't take shits.
guys do n't take shits.
null
null
null
null
null
neutral
464
464
464
crowd:upward_monotone:lexical_knowledge
null
null
null
null
women do n't take shits.
boys do n't take shits.
null
null
null
null
null
neutral
465
465
465
crowd:upward_monotone:lexical_knowledge
null
null
null
null
women do n't take shits.
friends do n't take shits.
null
null
null
null
null
neutral
466
466
466
crowd:upward_monotone:lexical_knowledge
null
null
null
null
it is no use trying to play a trick on me.
it's no use trying to hurt me.
null
null
null
null
null
neutral
467
467
467
crowd:upward_monotone:conjunction
null
null
null
null
i made some bunny-shaped cookies.
i made some bunny-shaped cookies and cupcakes.
null
null
null
null
null
neutral
468
468
468
crowd:upward_monotone:conjunction
null
null
null
null
i made some bunny-shaped cookies and cupcakes.
i made some bunny-shaped cookies.
null
null
null
null
null
entailment
469
469
469
crowd:upward_monotone:lexical_knowledge:npi
null
null
null
null
i am anything but a liar.
i am anything but a thief.
null
null
null
null
null
neutral
470
470
470
crowd:upward_monotone:lexical_knowledge:npi
null
null
null
null
i am anything but a liar.
i am anything but a pauper.
null
null
null
null
null
neutral
471
471
471
crowd:upward_monotone:lexical_knowledge:npi
null
null
null
null
i am anything but a liar.
i am anything but a con.
null
null
null
null
null
neutral
472
472
472
crowd:upward_monotone
null
null
null
null
every one except tom was wearing a tie.
every one except tom was wearing a blue tie.
null
null
null
null
null
neutral
473
473
473
crowd:upward_monotone
null
null
null
null
every one except tom was wearing a blue tie.
every one except tom was wearing a tie.
null
null
null
null
null
entailment
474
474
474
crowd:upward_monotone
null
null
null
null
every one except tom was wearing a tie.
every one except tom was wearing a green tie.
null
null
null
null
null
neutral
475
475
475
crowd:upward_monotone
null
null
null
null
every one except tom was wearing a green tie.
every one except tom was wearing a tie.
null
null
null
null
null
entailment
476
476
476
crowd:upward_monotone
null
null
null
null
every one except tom was wearing a tie.
every one except tom was wearing a red tie.
null
null
null
null
null
neutral
477
477
477
crowd:upward_monotone
null
null
null
null
every one except tom was wearing a red tie.
every one except tom was wearing a tie.
null
null
null
null
null
entailment
478
478
478
crowd:upward_monotone
null
null
null
null
i drive to tokyo every day.
i drive to tokyo's historic downtown every day.
null
null
null
null
null
neutral
479
479
479
crowd:upward_monotone
null
null
null
null
i drive to tokyo every day.
i drive to central tokyo every day.
null
null
null
null
null
neutral
480
480
480
crowd:upward_monotone
null
null
null
null
i drive to central tokyo every day.
i drive to tokyo every day.
null
null
null
null
null
entailment
481
481
481
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she 's eating a pear.
she 's eating a apple.
null
null
null
null
null
neutral
482
482
482
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she 's eating a pear.
she 's eating a mango.
null
null
null
null
null
neutral
483
483
483
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she 's eating a pear.
she 's eating a peach.
null
null
null
null
null
neutral
484
484
484
crowd:upward_monotone
null
null
null
null
a man stole my purse.
a young man stole my purse.
null
null
null
null
null
neutral
485
485
485
crowd:upward_monotone
null
null
null
null
a young man stole my purse.
a man stole my purse.
null
null
null
null
null
entailment
486
486
486
crowd:upward_monotone
null
null
null
null
a man stole my purse.
a big man stole my purse.
null
null
null
null
null
neutral
487
487
487
crowd:upward_monotone
null
null
null
null
a big man stole my purse.
a man stole my purse.
null
null
null
null
null
entailment
488
488
488
crowd:upward_monotone
null
null
null
null
tom was wearing a cowboy hat.
tom was wearing a blue cowboyhat.
null
null
null
null
null
neutral
489
489
489
crowd:upward_monotone
null
null
null
null
tom was wearing a blue cowboy hat.
tom was wearing a cowboyhat.
null
null
null
null
null
entailment
490
490
490
crowd:upward_monotone:conjunction
null
null
null
null
tom was wearing a cowboy hat.
tom was wearing a cowboy hat and a revolver.
null
null
null
null
null
neutral
491
491
491
crowd:upward_monotone:conjunction
null
null
null
null
tom was wearing a cowboy hat and a revolver.
tom was wearing a cowboy hat.
null
null
null
null
null
entailment
492
492
492
crowd:upward_monotone
null
null
null
null
a goose is a water bird.
a goose is an aggresive water bird.
null
null
null
null
null
neutral
493
493
493
crowd:upward_monotone
null
null
null
null
a goose is an aggressive water bird.
a goose is an water bird.
null
null
null
null
null
entailment
494
494
494
crowd:upward_monotone
null
null
null
null
a goose is a water bird.
a goose is a grey water bird.
null
null
null
null
null
neutral
495
495
495
crowd:upward_monotone
null
null
null
null
a goose is a grey water bird.
a goose is a water bird.
null
null
null
null
null
entailment
496
496
496
crowd:upward_monotone:conjunction
null
null
null
null
there are some oranges on the table.
there are some oranges and clementines on the table.
null
null
null
null
null
neutral
497
497
497
crowd:upward_monotone:conjunction
null
null
null
null
there are some oranges and clementines on the table.
there are some oranges on the table.
null
null
null
null
null
entailment
498
498
498
crowd:upward_monotone
null
null
null
null
there are some oranges on the table.
there are some tasty oranges on the table.
null
null
null
null
null
neutral
499
499
499
crowd:upward_monotone
null
null
null
null
there are some tasty oranges on the table.
there are some oranges on the table.
null
null
null
null
null
entailment
500
500
500
crowd:upward_monotone
null
null
null
null
there are some oranges on the table.
there are some freshly picked oranges on the table.
null
null
null
null
null
neutral