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
901
901
901
crowd:upward_monotone:lexical_knowledge
null
null
null
null
rudolf has built a large house.
rudolf has built a large apartment.
null
null
null
null
null
neutral
902
902
902
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom is memorizing a poem.
tom is memorizing a book.
null
null
null
null
null
neutral
903
903
903
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she planted some pansies in the flower bed.
she planted some pansies in the compost.
null
null
null
null
null
neutral
904
904
904
crowd:upward_monotone:conjunction
null
null
null
null
she planted some pansies in the flower bed.
she planted some blue and purple pansies in the flower bed.
null
null
null
null
null
neutral
905
905
905
crowd:upward_monotone:conjunction
null
null
null
null
she planted some blue and purple pansies in the flower bed.
she planted some pansies in the flower bed.
null
null
null
null
null
entailment
906
906
906
crowd:upward_monotone
null
null
null
null
she planted some pansies in the flower bed.
she planted some dwarf pansies in the flower bed.
null
null
null
null
null
neutral
907
907
907
crowd:upward_monotone
null
null
null
null
she planted some dwarf pansies in the flower bed.
she planted some pansies in the flower bed.
null
null
null
null
null
entailment
908
908
908
crowd:upward_monotone:lexical_knowledge
null
null
null
null
coventry is a city in the uk.
london is a city in the uk.
null
null
null
null
null
neutral
909
909
909
crowd:upward_monotone:lexical_knowledge
null
null
null
null
coventry is a city in the uk.
aberdeen is a city in the uk.
null
null
null
null
null
neutral
910
910
910
crowd:upward_monotone:lexical_knowledge
null
null
null
null
coventry is a city in the uk.
belfast is a city in the uk.
null
null
null
null
null
neutral
911
911
911
crowd:upward_monotone:lexical_knowledge
null
null
null
null
coventry is a city in the uk.
londres is a city in the uk.
null
null
null
null
null
neutral
912
912
912
crowd:upward_monotone:lexical_knowledge
null
null
null
null
coventry is a city in the uk.
bradford is a city in the uk.
null
null
null
null
null
neutral
913
913
913
crowd:upward_monotone:lexical_knowledge
null
null
null
null
coventry is a city in the uk.
liverpool is a city in the uk.
null
null
null
null
null
neutral
914
914
914
crowd:upward_monotone:lexical_knowledge
null
null
null
null
let 's listen to some chopin.
let 's listen to some schubert.
null
null
null
null
null
neutral
915
915
915
crowd:upward_monotone
null
null
null
null
a truck was standing in the middle of the road.
a green solor gandola was standing in the middle of the road.
null
null
null
null
null
neutral
916
916
916
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a truck was standing in the middle of the road.
a bus was standing in the middle of the road.
null
null
null
null
null
neutral
917
917
917
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom made a peanut butter and jelly sandwich.
tom made a mani cream and jelly sandwich.
null
null
null
null
null
neutral
918
918
918
crowd:upward_monotone:lexical_knowledge:conjunction
null
null
null
null
tom made a peanut butter and jelly sandwich.
tom made a tasty coffee and i accompanied it with bread and peanut butter.
null
null
null
null
null
neutral
919
919
919
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a cat abhors a vacuum.
a cat abhors a hiatus.
null
null
null
null
null
neutral
920
920
920
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i bought a few eggs and a little milk.
i bought some eggs and some meat.
null
null
null
null
null
neutral
921
921
921
crowd:upward_monotone
null
null
null
null
i was in new york for a few days.
i was in new york city with my boyfriend for a few days.
null
null
null
null
null
neutral
922
922
922
crowd:upward_monotone
null
null
null
null
i was in new york with my boyfriend for a few days.
i was in new york city for a few days.
null
null
null
null
null
entailment
923
923
923
crowd:upward_monotone
null
null
null
null
i was in new york for a few days.
i was in new york country club for a few days.
null
null
null
null
null
neutral
924
924
924
crowd:upward_monotone
null
null
null
null
i was in new york country club for a few days.
i was in new york for a few days.
null
null
null
null
null
entailment
925
925
925
crowd:upward_monotone:conjunction
null
null
null
null
mr yamaha gave some walnuts to a beggar.
mr yamaha gave some walnuts and money to a beggar.
null
null
null
null
null
neutral
926
926
926
crowd:upward_monotone:conjunction
null
null
null
null
mr yamaha gave some walnuts and money to a beggar.
mr yamaha gave some walnuts to a beggar.
null
null
null
null
null
entailment
927
927
927
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom is wearing a hearing aid.
tom is wearing a special outfit.
null
null
null
null
null
neutral
928
928
928
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom is wearing a hearing aid.
tom is wearing a dress suit.
null
null
null
null
null
neutral
929
929
929
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom is wearing a hearing aid.
tom is wearing a uniform.
null
null
null
null
null
neutral
930
930
930
crowd:upward_monotone:conjunction
null
null
null
null
tom can also speak some french.
tom can also speak some french and spanish.
null
null
null
null
null
neutral
931
931
931
crowd:upward_monotone:conjunction
null
null
null
null
tom can also speak some french and spanish.
tom can also speak some french.
null
null
null
null
null
entailment
932
932
932
crowd:upward_monotone:conjunction
null
null
null
null
sekkura is a qualified chef.
sekkura is a qualified chef and baker.
null
null
null
null
null
neutral
933
933
933
crowd:upward_monotone:conjunction
null
null
null
null
sekkura is a qualified chef and baker.
sekkura is a qualified chef.
null
null
null
null
null
entailment
934
934
934
crowd:upward_monotone:lexical_knowledge
null
null
null
null
sekkura is a qualified chef.
sekkura is a qualified dough puncher.
null
null
null
null
null
neutral
935
935
935
crowd:upward_monotone
null
null
null
null
there is some milk in the fridge.
there is some chocolate milk in the fridge.
null
null
null
null
null
neutral
936
936
936
crowd:upward_monotone
null
null
null
null
there is some milk in the fridge.
there is some goat milk in the fridge.
null
null
null
null
null
neutral
937
937
937
crowd:upward_monotone
null
null
null
null
there is some goat milk in the fridge.
there is some milk in the fridge.
null
null
null
null
null
entailment
938
938
938
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a dog chased a cat.
a dog chased a dog.
null
null
null
null
null
neutral
939
939
939
crowd:upward_monotone
null
null
null
null
he sang some old songs.
he sang some old country songs.
null
null
null
null
null
neutral
940
940
940
crowd:upward_monotone
null
null
null
null
he sang some old country songs.
he sang some old songs.
null
null
null
null
null
entailment
941
941
941
crowd:upward_monotone
null
null
null
null
he sang some old songs.
he sang some old songs that remind me of you.
null
null
null
null
null
neutral
942
942
942
crowd:upward_monotone
null
null
null
null
he sang some old songs that remind me of you.
he sang some old songs.
null
null
null
null
null
entailment
943
943
943
crowd:upward_monotone
null
null
null
null
my brother works in a bank.
my brother works in a very big bank.
null
null
null
null
null
neutral
944
944
944
crowd:upward_monotone
null
null
null
null
my brother works in a very big bank.
my brother works in a bank.
null
null
null
null
null
entailment
945
945
945
crowd:upward_monotone:lexical_knowledge
null
null
null
null
my brother works in a bank.
my brother works in a big company.
null
null
null
null
null
neutral
946
946
946
crowd:upward_monotone:lexical_knowledge
null
null
null
null
my brother works in a bank.
my brother works in a huge project.
null
null
null
null
null
neutral
947
947
947
crowd:upward_monotone:lexical_knowledge
null
null
null
null
my brother works in a bank.
my brother works in an armchair all day.
null
null
null
null
null
neutral
948
948
948
crowd:upward_monotone:lexical_knowledge
null
null
null
null
my brother works in a bank.
my brother works in an armchair serving people.
null
null
null
null
null
neutral
949
949
949
crowd:upward_monotone
null
null
null
null
tom has a swiss bank account.
tom has a swiss bank account with no money.
null
null
null
null
null
neutral
950
950
950
crowd:upward_monotone
null
null
null
null
tom has a swiss bank account with no money.
tom has a swiss bank account.
null
null
null
null
null
entailment
951
951
951
crowd:upward_monotone:lexical_knowledge
null
null
null
null
this hospital has a lot of new equipment.
this office has a lot of new desks.
null
null
null
null
null
neutral
952
952
952
crowd:upward_monotone
null
null
null
null
there 's a hole in this sock.
there 's a small hole in this sock.
null
null
null
null
null
neutral
953
953
953
crowd:upward_monotone
null
null
null
null
there 's a small hole in this sock.
there 's a hole in this sock.
null
null
null
null
null
entailment
954
954
954
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he was sharpening a knife.
he was sharpening a cutter.
null
null
null
null
null
neutral
955
955
955
crowd:upward_monotone
null
null
null
null
tom put a bunch of letters on mary 's desk.
tom put a little bunch of letters on mary 's desk.
null
null
null
null
null
neutral
956
956
956
crowd:upward_monotone
null
null
null
null
tom put a little bunch of letters on mary 's desk.
tom put a bunch of letters on mary 's desk.
null
null
null
null
null
entailment
957
957
957
crowd:upward_monotone:lexical_knowledge
null
null
null
null
lucy can not use chopsticks.
many people can not use chopsticks.
null
null
null
null
null
neutral
958
958
958
crowd:upward_monotone:lexical_knowledge
null
null
null
null
lucy can not use chopsticks.
babies can not use chopsticks.
null
null
null
null
null
neutral
959
959
959
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a doctor examined mr. brown.
a surgeon examined mr. brown.
null
null
null
null
null
neutral
960
960
960
crowd:upward_monotone
null
null
null
null
tom left his wife a fortune.
tom left his wife a fortune so she can travel.
null
null
null
null
null
neutral
961
961
961
crowd:upward_monotone
null
null
null
null
they eat a lot of rice.
they eat a lot of fried rice.
null
null
null
null
null
neutral
962
962
962
crowd:upward_monotone
null
null
null
null
they eat a lot of fried rice.
they eat a lot of rice.
null
null
null
null
null
entailment
963
963
963
crowd:upward_monotone
null
null
null
null
they eat a lot of rice.
they eat a lot of black rice.
null
null
null
null
null
neutral
964
964
964
crowd:upward_monotone
null
null
null
null
they eat a lot of black rice.
they eat a lot of rice.
null
null
null
null
null
entailment
965
965
965
crowd:upward_monotone
null
null
null
null
vladivostok is a city in russia.
vladivostok is a city in russia nearby golden horn bay.
null
null
null
null
null
neutral
966
966
966
crowd:upward_monotone
null
null
null
null
vladivostok is a city in russia nearby golden horn bay.
vladivostok is a city in russia.
null
null
null
null
null
entailment
967
967
967
crowd:upward_monotone
null
null
null
null
i had a tooth pulled.
i had a bad tooth pulled.
null
null
null
null
null
neutral
968
968
968
crowd:upward_monotone
null
null
null
null
i had a bad tooth pulled.
i had a tooth pulled.
null
null
null
null
null
entailment
969
969
969
crowd:upward_monotone
null
null
null
null
i had a tooth pulled.
i had a decayed tooth pulled.
null
null
null
null
null
neutral
970
970
970
crowd:upward_monotone
null
null
null
null
i had a decayed tooth pulled.
i had a tooth pulled.
null
null
null
null
null
entailment
971
971
971
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he owns a private jet.
he owns a private home.
null
null
null
null
null
neutral
972
972
972
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he owns a private jet.
he owns a private helicopter.
null
null
null
null
null
neutral
973
973
973
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i had a cup of coffee at the coffee shop.
i had a pitcher of coffee at the coffee shop.
null
null
null
null
null
neutral
974
974
974
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i had a cup of coffee at the coffee shop.
i had a grain of coffee at the coffee shop.
null
null
null
null
null
neutral
975
975
975
crowd:upward_monotone
null
null
null
null
thursday , we will go to a swimming pool.
thursday , we will go to a house with a swimming pool.
null
null
null
null
null
neutral
976
976
976
crowd:upward_monotone
null
null
null
null
thursday , we will go to a house with a swimming pool.
thursday , we will go to a swimming pool.
null
null
null
null
null
entailment
977
977
977
crowd:upward_monotone
null
null
null
null
a lot of insects are chirping in the field.
a lot of annoying insects are chirping in the field.
null
null
null
null
null
neutral
978
978
978
crowd:upward_monotone
null
null
null
null
a lot of annoying insects are chirping in the field.
a lot of insects are chirping in the field.
null
null
null
null
null
entailment
979
979
979
crowd:upward_monotone:lexical_knowledge
null
null
null
null
there are some bags in the room.
there are some backpacks in the room.
null
null
null
null
null
neutral
980
980
980
crowd:upward_monotone
null
null
null
null
there are some bags in the room.
there are some big bags in the room.
null
null
null
null
null
neutral
981
981
981
crowd:upward_monotone
null
null
null
null
there are some big bags in the room.
there are some bags in the room.
null
null
null
null
null
entailment
982
982
982
crowd:upward_monotone:lexical_knowledge
null
null
null
null
there are some bags in the room.
there are some containers in the room.
null
null
null
null
null
neutral
983
983
983
crowd:upward_monotone:conjunction
null
null
null
null
that guy is a bully.
that guy is a coward and a bully.
null
null
null
null
null
neutral
984
984
984
crowd:upward_monotone:conjunction
null
null
null
null
that guy is a coward and a bully.
that guy is a bully.
null
null
null
null
null
entailment
985
985
985
crowd:upward_monotone:reverse
null
null
null
null
he did nothing but cry.
he did nothing yesterday but cry.
null
null
null
null
null
neutral
986
986
986
crowd:upward_monotone:reverse
null
null
null
null
he did nothing yasterday but cry.
he did nothing but cry.
null
null
null
null
null
entailment
987
987
987
crowd:upward_monotone:lexical_knowledge
null
null
null
null
today did n't go well.
tomorrow did n't go well.
null
null
null
null
null
neutral
988
988
988
crowd:upward_monotone:lexical_knowledge
null
null
null
null
today did n't go well.
match day did n't go well.
null
null
null
null
null
neutral
989
989
989
crowd:upward_monotone:lexical_knowledge
null
null
null
null
today did n't go well.
math exam did n't go well.
null
null
null
null
null
neutral
990
990
990
crowd:upward_monotone:lexical_knowledge
null
null
null
null
today did n't go well.
the meeting did n't go well.
null
null
null
null
null
neutral
991
991
991
crowd:upward_monotone:conjunction
null
null
null
null
all the passengers are in mortal danger.
all the passengers are in mortal danger and fear.
null
null
null
null
null
neutral
992
992
992
crowd:upward_monotone:conjunction
null
null
null
null
all the passengers are in mortal danger and fear.
all the passengers are in mortal danger.
null
null
null
null
null
entailment
993
993
993
crowd:upward_monotone
null
null
null
null
all the passengers are in mortal danger.
all the passengers are in mortal danger as long as they are in the plane.
null
null
null
null
null
neutral
994
994
994
crowd:upward_monotone
null
null
null
null
all the passengers are in mortal danger.
all animals are in danger of death.
null
null
null
null
null
neutral
995
995
995
crowd:upward_monotone
null
null
null
null
all the passengers are in mortal danger.
all the passengers are almost in danger of death.
null
null
null
null
null
neutral
996
996
996
crowd:upward_monotone
null
null
null
null
some important papers are missing from the files.
some important documents on criminal proceedings are missing from the files.
null
null
null
null
null
neutral
997
997
997
crowd:upward_monotone
null
null
null
null
some important documents on criminal proceedings are missing from the files.
some important papers are missing from the files.
null
null
null
null
null
entailment
998
998
998
crowd:upward_monotone:lexical_knowledge
null
null
null
null
some large birds prey upon small birds and animals.
some large owls prey upon small birds and animals.
null
null
null
null
null
neutral
999
999
999
crowd:upward_monotone:conjunction
null
null
null
null
some large birds hunt and prey upon small birds and animals.
some large birds prey upon small birds and animals.
null
null
null
null
null
entailment
1,000
1,000
1,000
crowd:upward_monotone:conjunction
null
null
null
null
some large birds prey upon small birds and animals.
some large birds hunt and prey upon small birds and animals.
null
null
null
null
null
neutral