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
801
801
801
crowd:upward_monotone
null
null
null
null
men do n't read instructions.
innocent men do n't read instructions.
null
null
null
null
null
neutral
802
802
802
crowd:upward_monotone:reverse
null
null
null
null
my grandfather can not walk without a stick.
my grandfather can not walk without a wood.
null
null
null
null
null
neutral
803
803
803
crowd:upward_monotone:lexical_knowledge
null
null
null
null
life is n't all roses and sunshine.
love is n't all roses and sunshine.
null
null
null
null
null
neutral
804
804
804
crowd:upward_monotone:lexical_knowledge:npi
null
null
null
null
earthquakes may occur at any moment.
the storm may occur at any moment.
null
null
null
null
null
neutral
805
805
805
crowd:upward_monotone:lexical_knowledge:npi
null
null
null
null
earthquakes may occur at any moment.
a phenomenon may occur at any moment.
null
null
null
null
null
neutral
806
806
806
crowd:upward_monotone:lexical_knowledge
null
null
null
null
some consider language as a form of knowledge.
some consider the language as important knowledge.
null
null
null
null
null
neutral
807
807
807
crowd:upward_monotone:lexical_knowledge
null
null
null
null
it is not tea but coffee that i want.
it is not tea but glace that i want.
null
null
null
null
null
neutral
808
808
808
crowd:upward_monotone
null
null
null
null
it is not tea but coffee that i want.
it is not tea but coffee with milk that i want.
null
null
null
null
null
neutral
809
809
809
crowd:upward_monotone
null
null
null
null
it is not tea but coffee with milk that i want.
it is not tea but coffee that i want.
null
null
null
null
null
entailment
810
810
810
crowd:upward_monotone:lexical_knowledge
null
null
null
null
it is not tea but coffee that i want.
it is not tea but milk that i want.
null
null
null
null
null
neutral
811
811
811
crowd:upward_monotone:lexical_knowledge
null
null
null
null
it is not tea but coffee that i want.
it is not tea but beer that i want.
null
null
null
null
null
neutral
812
812
812
crowd:upward_monotone
null
null
null
null
some things that tom told me are n't true.
some things about my wife that tom told me are n't true.
null
null
null
null
null
neutral
813
813
813
crowd:upward_monotone
null
null
null
null
some things about my wife that tom told me are n't true.
some things that tom told me are n't true.
null
null
null
null
null
entailment
814
814
814
crowd:upward_monotone:conditionals
null
null
null
null
if you heard her speak english , you would take her for an american.
if you heard her speak english , you would take her for a native american.
null
null
null
null
null
neutral
815
815
815
crowd:upward_monotone:lexical_knowledge:conditionals
null
null
null
null
if you heard her speak english , you would take her for an american.
if you heard her speak english , you would take her for a scottish.
null
null
null
null
null
neutral
816
816
816
crowd:upward_monotone
null
null
null
null
all of my brothers have jobs.
all of my brothers have jobs that pay well.
null
null
null
null
null
neutral
817
817
817
crowd:upward_monotone
null
null
null
null
all of my brothers have jobs that pay well.
all of my brothers have jobs.
null
null
null
null
null
entailment
818
818
818
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a new oil tanker was launched.
a new truck was launched.
null
null
null
null
null
neutral
819
819
819
crowd:upward_monotone
null
null
null
null
he bought her some chocolates.
he bought her some russian chocolates.
null
null
null
null
null
neutral
820
820
820
crowd:upward_monotone
null
null
null
null
he bought her some russian chocolates.
he bought her some chocolates.
null
null
null
null
null
entailment
821
821
821
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a californian policeman pulled a car over and spoke to the driver.
a californian policeman pulled a truck over and spoke to the driver.
null
null
null
null
null
neutral
822
822
822
crowd:upward_monotone
null
null
null
null
a californian policeman pulled a car over and spoke to the driver.
a californian policeman pulled a dirty car over and spoke to the driver.
null
null
null
null
null
neutral
823
823
823
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i want to buy a dozen doughnuts.
i want to buy a bag doughnuts.
null
null
null
null
null
neutral
824
824
824
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i want to buy a dozen doughnuts.
i want to buy a box doughnuts.
null
null
null
null
null
neutral
825
825
825
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i want to buy a dozen doughnuts.
i want to buy a nine doughnuts.
null
null
null
null
null
neutral
826
826
826
crowd:upward_monotone:conjunction
null
null
null
null
a swarm of mosquitoes followed him.
a swarm of bees and mosquitoes followed him.
null
null
null
null
null
neutral
827
827
827
crowd:upward_monotone:conjunction
null
null
null
null
a swarm of bees and mosquitoes followed him.
a swarm of mosquitoes followed him.
null
null
null
null
null
entailment
828
828
828
crowd:upward_monotone
null
null
null
null
a u.s. soldier was sentenced to 90 years in jail.
a u.s. former soldier was sentenced to 90 years in jail.
null
null
null
null
null
neutral
829
829
829
crowd:upward_monotone
null
null
null
null
a u.s. former soldier was sentenced to 90 years in jail.
a u.s. soldier was sentenced to 90 years in jail.
null
null
null
null
null
entailment
830
830
830
crowd:upward_monotone:lexical_knowledge
null
null
null
null
the child cried for a toy car.
the child cried for a novelty car.
null
null
null
null
null
neutral
831
831
831
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a smell of lilies filled the room.
a whiff of lilies filled the room.
null
null
null
null
null
neutral
832
832
832
crowd:upward_monotone:lexical_knowledge
null
null
null
null
every ship needs an anchor.
every ship needs an grapnel.
null
null
null
null
null
neutral
833
833
833
crowd:upward_monotone:lexical_knowledge
null
null
null
null
every ship needs an anchor.
every ship needs an mooring line.
null
null
null
null
null
neutral
834
834
834
crowd:upward_monotone
null
null
null
null
there 's a radio in my room.
there 's a broken radio in my room.
null
null
null
null
null
neutral
835
835
835
crowd:upward_monotone
null
null
null
null
there 's a broken radio in my room.
there 's a radio in my room.
null
null
null
null
null
entailment
836
836
836
crowd:upward_monotone:conjunction
null
null
null
null
a tsunami hit the north-eastern coast of hokkaido.
a tsunami hit the north-eastern coast of hokkaido and sapporo.
null
null
null
null
null
neutral
837
837
837
crowd:upward_monotone:conjunction
null
null
null
null
a tsunami hit the north-eastern coast of hokkaido and sapporo.
a tsunami hit the north-eastern coast of hokkaido.
null
null
null
null
null
entailment
838
838
838
crowd:upward_monotone
null
null
null
null
i received a telegram from her.
i received a telegram that was about her boyfriend from her.
null
null
null
null
null
neutral
839
839
839
crowd:upward_monotone
null
null
null
null
i received a telegram that was about her boyfriend from her.
i received a telegram from her.
null
null
null
null
null
entailment
840
840
840
crowd:upward_monotone
null
null
null
null
i received a telegram from her.
i received a pitiful telegram from her.
null
null
null
null
null
neutral
841
841
841
crowd:upward_monotone
null
null
null
null
i received a pitiful telegram from her.
i received a telegram from her.
null
null
null
null
null
entailment
842
842
842
crowd:upward_monotone:conjunction
null
null
null
null
i received a telegram from her.
i received a telegram and a gift from her.
null
null
null
null
null
neutral
843
843
843
crowd:upward_monotone:conjunction
null
null
null
null
i received a telegram and a gift from her.
i received a telegram from her.
null
null
null
null
null
entailment
844
844
844
crowd:upward_monotone
null
null
null
null
i 've seen a flying saucer.
i 've seen a big flying saucer.
null
null
null
null
null
neutral
845
845
845
crowd:upward_monotone
null
null
null
null
i 've seen a big flying saucer.
i 've seen a flying saucer.
null
null
null
null
null
entailment
846
846
846
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i 've seen a flying saucer.
i 've seen a rocketship.
null
null
null
null
null
neutral
847
847
847
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i 've seen a flying saucer.
i 've seen a spaceship.
null
null
null
null
null
neutral
848
848
848
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i ordered a book from london.
i ordered a book from new york.
null
null
null
null
null
neutral
849
849
849
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i ordered a book from london.
i ordered a book from oxford.
null
null
null
null
null
neutral
850
850
850
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom was carrying a bucket of water.
tom was carrying a bucket of apples.
null
null
null
null
null
neutral
851
851
851
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom was carrying a bucket of water.
tom was carrying a bucket of sand.
null
null
null
null
null
neutral
852
852
852
crowd:upward_monotone
null
null
null
null
millie is n't eating an apple.
aunt millie is n't eating an apple.
null
null
null
null
null
neutral
853
853
853
crowd:upward_monotone
null
null
null
null
aunt millie is n't eating an apple.
millie is n't eating an apple.
null
null
null
null
null
entailment
854
854
854
crowd:upward_monotone
null
null
null
null
millie is n't eating an apple.
old millie is n't eating an apple.
null
null
null
null
null
neutral
855
855
855
crowd:upward_monotone
null
null
null
null
old millie is n't eating an apple.
millie is n't eating an apple.
null
null
null
null
null
entailment
856
856
856
crowd:upward_monotone:lexical_knowledge
null
null
null
null
millie is n't eating an apple.
sarah is n't eating an apple.
null
null
null
null
null
neutral
857
857
857
crowd:upward_monotone:lexical_knowledge
null
null
null
null
millie is n't eating an apple.
hannah is n't eating an apple.
null
null
null
null
null
neutral
858
858
858
crowd:upward_monotone:conjunction
null
null
null
null
bilbao is a city in the basque country.
bilbao is the biggest city and is a city in the basque country.
null
null
null
null
null
neutral
859
859
859
crowd:upward_monotone:lexical_knowledge
null
null
null
null
bilbao is a city in the basque country.
madrid is a city in the basque country.
null
null
null
null
null
neutral
860
860
860
crowd:upward_monotone:lexical_knowledge
null
null
null
null
bilbao is a city in the basque country.
barcelona is a city in the basque country.
null
null
null
null
null
neutral
861
861
861
crowd:upward_monotone
null
null
null
null
there is a glass sculpture in the garden.
there is a glass multi-colored sculpture in the garden.
null
null
null
null
null
neutral
862
862
862
crowd:upward_monotone
null
null
null
null
there is a glass multi-colored sculpture in the garden.
there is a glass sculpture in the garden.
null
null
null
null
null
entailment
863
863
863
crowd:upward_monotone:lexical_knowledge
null
null
null
null
there is a glass sculpture in the garden.
there is a glass window in the garden.
null
null
null
null
null
neutral
864
864
864
crowd:upward_monotone
null
null
null
null
a cat was on the table.
a whisker-less cat was on the table.
null
null
null
null
null
neutral
865
865
865
crowd:upward_monotone
null
null
null
null
a whisker-less cat was on the table.
a cat was on the table.
null
null
null
null
null
entailment
866
866
866
crowd:upward_monotone:conjunction
null
null
null
null
a cat was on the table.
a cute and chubby cat was on the table.
null
null
null
null
null
neutral
867
867
867
crowd:upward_monotone:conjunction
null
null
null
null
a cute and chubby cat was on the table.
a cat was on the table.
null
null
null
null
null
entailment
868
868
868
crowd:upward_monotone
null
null
null
null
a cat was on the table.
a big cat was on the table.
null
null
null
null
null
neutral
869
869
869
crowd:upward_monotone
null
null
null
null
a big cat was on the table.
a cat was on the table.
null
null
null
null
null
entailment
870
870
870
crowd:upward_monotone
null
null
null
null
a cat was on the table.
a big fluffy cat was sleeping on the table.
null
null
null
null
null
neutral
871
871
871
crowd:upward_monotone
null
null
null
null
a big fluffy cat was sleeping on the table.
a cat was on the table.
null
null
null
null
null
entailment
872
872
872
crowd:upward_monotone
null
null
null
null
tom drives a truck for a living.
tom drives a truck to move merchandise to another city.
null
null
null
null
null
neutral
873
873
873
crowd:upward_monotone
null
null
null
null
tom drives a truck for a living.
tom drives a truck to carry merchandise.
null
null
null
null
null
neutral
874
874
874
crowd:upward_monotone
null
null
null
null
tom drives a truck for a living.
tom drives a truck to transport animals.
null
null
null
null
null
neutral
875
875
875
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he organized a summer rock festival.
he organized a summer family festival.
null
null
null
null
null
neutral
876
876
876
crowd:upward_monotone
null
null
null
null
the girl wore a light blue kimono.
the girl wore a light blue ugly kimono.
null
null
null
null
null
neutral
877
877
877
crowd:upward_monotone
null
null
null
null
the girl wore a light blue ugly kimono.
the girl wore a light blue kimono.
null
null
null
null
null
entailment
878
878
878
crowd:upward_monotone
null
null
null
null
tom called a cab for me.
tom called a fast cab for me.
null
null
null
null
null
neutral
879
879
879
crowd:upward_monotone
null
null
null
null
tom called a fast cab for me.
tom called a cab for me.
null
null
null
null
null
entailment
880
880
880
crowd:upward_monotone
null
null
null
null
tom called a cab for me.
tom called a cab of elevation for me.
null
null
null
null
null
neutral
881
881
881
crowd:upward_monotone
null
null
null
null
tom called a cab of elevation for me.
tom called a cab for me.
null
null
null
null
null
entailment
882
882
882
crowd:upward_monotone:lexical_knowledge
null
null
null
null
bob 's father works in a car factory.
bob 's father works in a museum.
null
null
null
null
null
neutral
883
883
883
crowd:upward_monotone:lexical_knowledge
null
null
null
null
bob 's father works in a car factory.
bob 's father works in a hotel.
null
null
null
null
null
neutral
884
884
884
crowd:upward_monotone:lexical_knowledge
null
null
null
null
bob 's father works in a car factory.
bob 's father works in a supermarket.
null
null
null
null
null
neutral
885
885
885
crowd:upward_monotone
null
null
null
null
bob 's father works in a car factory.
bob 's father works in a ford car factory.
null
null
null
null
null
neutral
886
886
886
crowd:upward_monotone
null
null
null
null
millie is n't drinking water.
cute millie is n't drinking water.
null
null
null
null
null
neutral
887
887
887
crowd:upward_monotone:lexical_knowledge
null
null
null
null
millie is n't drinking water.
maria is n't drinking water.
null
null
null
null
null
neutral
888
888
888
crowd:upward_monotone:lexical_knowledge
null
null
null
null
the skier suffered a head trauma.
the skier suffered a leg trauma.
null
null
null
null
null
neutral
889
889
889
crowd:upward_monotone:lexical_knowledge
null
null
null
null
the skier suffered a head trauma.
the skier suffered an arm trauma.
null
null
null
null
null
neutral
890
890
890
crowd:upward_monotone
null
null
null
null
there is a cat on the chair.
there is a cat sleeping on the chair.
null
null
null
null
null
neutral
891
891
891
crowd:upward_monotone
null
null
null
null
there is a cat sleeping on the chair.
there is a cat on the chair.
null
null
null
null
null
entailment
892
892
892
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he drank a whole bottle of milk.
he drank a whole bottle of water.
null
null
null
null
null
neutral
893
893
893
crowd:upward_monotone
null
null
null
null
rudolf has built a large house.
rudolf has built a large pent house with pool.
null
null
null
null
null
neutral
894
894
894
crowd:upward_monotone
null
null
null
null
rudolf has built a large pent house with pool.
rudolf has built a large pent house.
null
null
null
null
null
entailment
895
895
895
crowd:upward_monotone:conjunction
null
null
null
null
rudolf has built a large house.
rudolf has built a large and white house.
null
null
null
null
null
neutral
896
896
896
crowd:upward_monotone:conjunction
null
null
null
null
rudolf has built a large and white house.
rudolf has built a large house.
null
null
null
null
null
entailment
897
897
897
crowd:upward_monotone:conjunction
null
null
null
null
rudolf has built a large house.
rudolf has built a large and beautiful house.
null
null
null
null
null
neutral
898
898
898
crowd:upward_monotone:conjunction
null
null
null
null
rudolf has built a large and beautiful house.
rudolf has built a large house.
null
null
null
null
null
entailment
899
899
899
crowd:upward_monotone:lexical_knowledge
null
null
null
null
rudolf has built a large house.
rudolf has built a large building.
null
null
null
null
null
neutral
900
900
900
crowd:upward_monotone:lexical_knowledge
null
null
null
null
rudolf has built a large house.
rudolf has built a large stadium.
null
null
null
null
null
neutral