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
501
501
501
crowd:upward_monotone
null
null
null
null
there are some freshly picked oranges on the table.
there are some oranges on the table.
null
null
null
null
null
entailment
502
502
502
crowd:upward_monotone
null
null
null
null
tom is wearing a harvard sweatshirt.
tom is wearing a harvard emblem on the shirt.
null
null
null
null
null
neutral
503
503
503
crowd:upward_monotone
null
null
null
null
tom is wearing a harvard sweatshirt.
tom is wearing a harvard large size sweatshirt.
null
null
null
null
null
neutral
504
504
504
crowd:upward_monotone
null
null
null
null
tom is wearing a harvard large size sweatshirt.
tom is wearing a harvard sweatshirt.
null
null
null
null
null
entailment
505
505
505
crowd:upward_monotone:lexical_knowledge
null
null
null
null
all the students study english.
all the students study hindi.
null
null
null
null
null
neutral
506
506
506
crowd:upward_monotone:lexical_knowledge
null
null
null
null
all the students study english.
all the students study telugu.
null
null
null
null
null
neutral
507
507
507
crowd:upward_monotone
null
null
null
null
all the students study english.
all the students study english literature.
null
null
null
null
null
neutral
508
508
508
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a north wind is blowing.
a cold wind is blowing.
null
null
null
null
null
neutral
509
509
509
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a north wind is blowing.
a south wind is blowing.
null
null
null
null
null
neutral
510
510
510
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a north wind is blowing.
a winter wind is blowing.
null
null
null
null
null
neutral
511
511
511
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a north wind is blowing.
a west wind is blowing.
null
null
null
null
null
neutral
512
512
512
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a north wind is blowing.
a warm north wind is blowing.
null
null
null
null
null
neutral
513
513
513
crowd:upward_monotone
null
null
null
null
a north wind is blowing.
a dry north wind is blowing.
null
null
null
null
null
neutral
514
514
514
crowd:upward_monotone
null
null
null
null
a dry north wind is blowing.
a north wind is blowing.
null
null
null
null
null
entailment
515
515
515
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i bought a new pair of glasses.
i bought a new jacket.
null
null
null
null
null
neutral
516
516
516
crowd:upward_monotone
null
null
null
null
i bought a new pair of glasses.
i bought a new ball.
null
null
null
null
null
neutral
517
517
517
crowd:upward_monotone
null
null
null
null
i bought a new pair of glasses.
i bought a new group of products from the optic.
null
null
null
null
null
neutral
518
518
518
crowd:upward_monotone
null
null
null
null
i bought a new pair of glasses.
i bought a new pair of glasses because i need it.
null
null
null
null
null
neutral
519
519
519
crowd:upward_monotone
null
null
null
null
i bought a new pair of glasses because i need it.
i bought a new pair of glasses.
null
null
null
null
null
entailment
520
520
520
crowd:upward_monotone
null
null
null
null
i bought a new pair of glasses.
i bought a new pair of red glasses.
null
null
null
null
null
neutral
521
521
521
crowd:upward_monotone
null
null
null
null
i bought a new pair of red glasses.
i bought a new pair of glasses.
null
null
null
null
null
entailment
522
522
522
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i have borrowed a table.
i have borrowed a surface.
null
null
null
null
null
neutral
523
523
523
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i have borrowed a table.
i have borrowed a desk.
null
null
null
null
null
neutral
524
524
524
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i have borrowed a table.
i have borrowed a wooden.
null
null
null
null
null
neutral
525
525
525
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i have borrowed a table.
i have borrowed a metal.
null
null
null
null
null
neutral
526
526
526
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i have borrowed a table.
i have borrowed a dining.
null
null
null
null
null
neutral
527
527
527
crowd:upward_monotone:lexical_knowledge
null
null
null
null
this tire needs some air.
this tire needs some oxygen.
null
null
null
null
null
neutral
528
528
528
crowd:upward_monotone:lexical_knowledge
null
null
null
null
this tire needs some air.
this tire needs some of the spirit.
null
null
null
null
null
neutral
529
529
529
crowd:upward_monotone:conjunction
null
null
null
null
this tire needs some air.
this tire needs some work and some air.
null
null
null
null
null
neutral
530
530
530
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a lot of tobacco is grown in north carolina.
a lot of nightshade is grown in north carolina.
null
null
null
null
null
neutral
531
531
531
crowd:upward_monotone
null
null
null
null
he wiped his hands on a handkerchief.
he wiped his hands on a white handkerchief.
null
null
null
null
null
neutral
532
532
532
crowd:upward_monotone
null
null
null
null
he wiped his hands on a white handkerchief.
he wiped his hands on a handkerchief.
null
null
null
null
null
entailment
533
533
533
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a cold bath refreshed him.
a cold water refreshed him.
null
null
null
null
null
neutral
534
534
534
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a cold bath refreshed him.
a cold pool refreshed him.
null
null
null
null
null
neutral
535
535
535
crowd:upward_monotone
null
null
null
null
a cold bath refreshed him.
a cold bubbly bath refreshed him.
null
null
null
null
null
neutral
536
536
536
crowd:upward_monotone
null
null
null
null
a cold bubbly bath refreshed him.
a cold bath refreshed him.
null
null
null
null
null
neutral
537
537
537
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a cold bath refreshed him.
a cold jacuzzi refreshed him.
null
null
null
null
null
neutral
538
538
538
crowd:upward_monotone:conjunction
null
null
null
null
he spent a few months in scotland.
he spent a few months of june and july in scotland.
null
null
null
null
null
neutral
539
539
539
crowd:upward_monotone:conjunction
null
null
null
null
he spent a few months of june and july in scotland.
he spent a few months in scotland.
null
null
null
null
null
entailment
540
540
540
crowd:upward_monotone:conjunction
null
null
null
null
he spent a few months in scotland.
he spent a few months of december and january in scotland.
null
null
null
null
null
neutral
541
541
541
crowd:upward_monotone
null
null
null
null
he spent a few months in scotland.
he spent a few months this year in scotland.
null
null
null
null
null
neutral
542
542
542
crowd:upward_monotone
null
null
null
null
he spent a few months this year in scotland.
he spent a few months in scotland.
null
null
null
null
null
entailment
543
543
543
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom poured wine into a plastic cup and handed it to mary.
tom poured somontano wine into a plastic cup and handed it to mary.
null
null
null
null
null
neutral
544
544
544
crowd:upward_monotone
null
null
null
null
tom poured wine into a plastic cup and handed it to mary.
tom poured some red wine into a plastic cup and handed it to mary.
null
null
null
null
null
neutral
545
545
545
crowd:upward_monotone:conjunction
null
null
null
null
tom poured wine into a plastic cup and handed it to mary.
tom poured wine and water into a plastic cup and handed it to mary.
null
null
null
null
null
neutral
546
546
546
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a decapitated body was on the coroner 's table.
a decapitated corpse was buried on his dinning room.
null
null
null
null
null
neutral
547
547
547
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a decapitated body was on the coroner 's table.
a decapitated person hidden in his office was on the coroner 's table.
null
null
null
null
null
neutral
548
548
548
crowd:upward_monotone:lexical_knowledge
null
null
null
null
brian bought a lipstick for kate.
brian bought a spoon for kate.
null
null
null
null
null
neutral
549
549
549
crowd:upward_monotone:lexical_knowledge
null
null
null
null
brian bought a lipstick for kate.
brian bought a makeup kit for his girlfriend.
null
null
null
null
null
neutral
550
550
550
crowd:upward_monotone:lexical_knowledge
null
null
null
null
brian bought a lipstick for kate.
brian bought a lip's balsam for mary.
null
null
null
null
null
neutral
551
551
551
crowd:upward_monotone:lexical_knowledge
null
null
null
null
brian bought a lipstick for kate.
brian bought a rouge for kate.
null
null
null
null
null
neutral
552
552
552
crowd:upward_monotone
null
null
null
null
he is wearing a hat.
he is wearing a wide-brimmed hat.
null
null
null
null
null
neutral
553
553
553
crowd:upward_monotone
null
null
null
null
he is wearing a wide-brimmed hat.
he is wearing a hat.
null
null
null
null
null
entailment
554
554
554
crowd:upward_monotone:lexical_knowledge
null
null
null
null
some passengers complained about the service.
some mortals complained about the service.
null
null
null
null
null
neutral
555
555
555
crowd:upward_monotone:npi
null
null
null
null
bush never wanted to harm anyone.
former president never wanted to harm anyone.
null
null
null
null
null
neutral
556
556
556
crowd:upward_monotone:npi
null
null
null
null
bush never wanted to harm anyone.
united states president bush never wanted to harm anyone.
null
null
null
null
null
neutral
557
557
557
crowd:upward_monotone:npi
null
null
null
null
bush never wanted to harm anyone.
brave bush never wanted to harm anyone.
null
null
null
null
null
neutral
558
558
558
crowd:upward_monotone:lexical_knowledge
null
null
null
null
john inherited a large fortune.
john inherited a large house.
null
null
null
null
null
neutral
559
559
559
crowd:upward_monotone:lexical_knowledge
null
null
null
null
john inherited a large fortune.
john inherited a large horse.
null
null
null
null
null
neutral
560
560
560
crowd:upward_monotone:conjunction
null
null
null
null
john inherited a large fortune.
john inherited a large fortune and beauty jewerly.
null
null
null
null
null
neutral
561
561
561
crowd:upward_monotone:conjunction
null
null
null
null
john inherited a large fortune and beauty jewerly.
john inherited a large fortune.
null
null
null
null
null
entailment
562
562
562
crowd:upward_monotone:conjunction
null
null
null
null
john inherited a large fortune.
john inherited a large fortune and a nice car.
null
null
null
null
null
neutral
563
563
563
crowd:upward_monotone:conjunction
null
null
null
null
john inherited a large fortune and a nice car.
john inherited a large fortune.
null
null
null
null
null
entailment
564
564
564
crowd:upward_monotone
null
null
null
null
tom is facing a few serious problems.
tom is facing a few serious problems with the law.
null
null
null
null
null
neutral
565
565
565
crowd:upward_monotone
null
null
null
null
tom is facing a few serious problems with the law.
tom is facing a few serious problems.
null
null
null
null
null
entailment
566
566
566
crowd:upward_monotone
null
null
null
null
tom is facing a few serious problems.
tom is facing a few serious health problems.
null
null
null
null
null
neutral
567
567
567
crowd:upward_monotone
null
null
null
null
tom is facing a few serious health problems.
tom is facing a few serious problems.
null
null
null
null
null
entailment
568
568
568
crowd:upward_monotone
null
null
null
null
tom is facing a few serious problems.
tom is facing a few serious problems to face exams.
null
null
null
null
null
neutral
569
569
569
crowd:upward_monotone
null
null
null
null
tom is facing a few serious problems to face exams.
tom is facing a few serious problems.
null
null
null
null
null
entailment
570
570
570
crowd:upward_monotone
null
null
null
null
tom is facing a few serious problems.
tom is facing a few serious work problems.
null
null
null
null
null
neutral
571
571
571
crowd:upward_monotone
null
null
null
null
tom is facing a few serious work problems.
tom is facing a few serious problems.
null
null
null
null
null
neutral
572
572
572
crowd:upward_monotone
null
null
null
null
i want to buy a dozen bananas.
i want to buy a dozen tomatoes to make a pizza.
null
null
null
null
null
neutral
573
573
573
crowd:upward_monotone
null
null
null
null
i want to buy a dozen bananas.
i want to buy a dozen of cookies to give them away.
null
null
null
null
null
neutral
574
574
574
crowd:upward_monotone
null
null
null
null
she gave me a charming smile.
she gave me a charming smile because she loves me.
null
null
null
null
null
neutral
575
575
575
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she gave me a charming smile.
she gave me a charming surprise.
null
null
null
null
null
neutral
576
576
576
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she gave me a charming smile.
she gave me a charming family.
null
null
null
null
null
neutral
577
577
577
crowd:upward_monotone
null
null
null
null
there are a lot of eggs in the box.
there are a lot of large eggs in the box.
null
null
null
null
null
neutral
578
578
578
crowd:upward_monotone
null
null
null
null
there are a lot of large eggs in the box.
there are a lot of eggs in the box.
null
null
null
null
null
entailment
579
579
579
crowd:upward_monotone
null
null
null
null
there are a lot of eggs in the box.
there are a lot of white eggs in the box.
null
null
null
null
null
neutral
580
580
580
crowd:upward_monotone
null
null
null
null
there are a lot of white eggs in the box.
there are a lot of eggs in the box.
null
null
null
null
null
entailment
581
581
581
crowd:upward_monotone
null
null
null
null
a big spider was spinning a web.
a big spider was spinning an awesome web.
null
null
null
null
null
neutral
582
582
582
crowd:upward_monotone
null
null
null
null
a big spider was spinning a awesome web.
a big spider was spinning an web.
null
null
null
null
null
entailment
583
583
583
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a big spider was spinning a web.
a big spider was spinning a park.
null
null
null
null
null
neutral
584
584
584
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a big spider was spinning a web.
a big spider was spinning a light.
null
null
null
null
null
neutral
585
585
585
crowd:upward_monotone
null
null
null
null
she gave a cat some milk.
she gave a cat some milk from your glass.
null
null
null
null
null
neutral
586
586
586
crowd:upward_monotone
null
null
null
null
she gave a cat some milk from your glass.
she gave a cat some milk.
null
null
null
null
null
entailment
587
587
587
crowd:upward_monotone
null
null
null
null
she gave a cat some milk.
she gave a cat some milk in your house.
null
null
null
null
null
neutral
588
588
588
crowd:upward_monotone
null
null
null
null
she gave a cat some milk in your house.
she gave a cat some milk.
null
null
null
null
null
entailment
589
589
589
crowd:upward_monotone
null
null
null
null
there are a lot of factories in kawasaki.
there are a lot of electronic factories in kawasaki.
null
null
null
null
null
neutral
590
590
590
crowd:upward_monotone
null
null
null
null
there are a lot of electronic factories in kawasaki.
there are a lot of factories in kawasaki.
null
null
null
null
null
entailment
591
591
591
crowd:upward_monotone
null
null
null
null
there are a lot of factories in kawasaki.
there are a lot of shoe factories in kawasaki.
null
null
null
null
null
neutral
592
592
592
crowd:upward_monotone
null
null
null
null
there are a lot of shoe factories in kawasaki.
there are a lot of factories in kawasaki.
null
null
null
null
null
entailment
593
593
593
crowd:upward_monotone
null
null
null
null
there are a lot of factories in kawasaki.
there are a lot of food factories in kawasaki.
null
null
null
null
null
neutral
594
594
594
crowd:upward_monotone
null
null
null
null
there are a lot of food factories in kawasaki.
there are a lot of factories in kawasaki.
null
null
null
null
null
entailment
595
595
595
crowd:upward_monotone
null
null
null
null
susan made a dress for jill.
for the fashion show susan made a dress to show her wit.
null
null
null
null
null
neutral
596
596
596
crowd:upward_monotone
null
null
null
null
she is buying a toy for her child.
she is buying an expensive toy for her child.
null
null
null
null
null
neutral
597
597
597
crowd:upward_monotone:conjunction
null
null
null
null
there are some apples in the basket.
there are some apples and pears in the basket.
null
null
null
null
null
neutral
598
598
598
crowd:upward_monotone
null
null
null
null
there are some apples in the basket.
there are some red apples in the basket.
null
null
null
null
null
neutral
599
599
599
crowd:upward_monotone
null
null
null
null
there are some red apples in the basket.
there are some apples in the basket.
null
null
null
null
null
entailment
600
600
600
crowd:upward_monotone
null
null
null
null
susan made a dress for jill.
susan made a long dress for jill.
null
null
null
null
null
neutral