premise
stringlengths 11
296
| hypothesis
stringlengths 11
296
| label
class label 0
classes | idx
int32 0
1.1k
|
|---|---|---|---|
Jake broke the vase.
|
Jake broke.
| -1no label
| 1,000
|
Jake broke.
|
Jake broke the vase.
| -1no label
| 1,001
|
He is someone of many talents.
|
He has many talents.
| -1no label
| 1,002
|
He has many talents.
|
He is someone of many talents.
| -1no label
| 1,003
|
He is someone of many talents.
|
His talents are many.
| -1no label
| 1,004
|
His talents are many.
|
He is someone of many talents.
| -1no label
| 1,005
|
I don't want to have to keep fighting pesky bedbugs.
|
I don't want to have to keep fighting bedbugs—they are so pesky.
| -1no label
| 1,006
|
I don't want to have to keep fighting bedbugs—they are so pesky.
|
I don't want to have to keep fighting pesky bedbugs.
| -1no label
| 1,007
|
I don't want to have to keep entertaining people who don't value my time.
|
I don't want to have to keep entertaining people.
| -1no label
| 1,008
|
I don't want to have to keep entertaining people.
|
I don't want to have to keep entertaining people who don't value my time.
| -1no label
| 1,009
|
It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.
|
There is a rabbi at this wedding; he is right there standing behind that tree.
| -1no label
| 1,010
|
There is a rabbi at this wedding; he is right there standing behind that tree.
|
It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.
| -1no label
| 1,011
|
It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.
|
There is no rabbi at this wedding, let alone behind that tree.
| -1no label
| 1,012
|
There is no rabbi at this wedding, let alone behind that tree.
|
It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.
| -1no label
| 1,013
|
It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.
|
A rabbi is at this wedding, standing right there standing behind that tree.
| -1no label
| 1,014
|
A rabbi is at this wedding, standing right there standing behind that tree.
|
It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.
| -1no label
| 1,015
|
There is a rabbi at this wedding; he is right there standing behind that tree.
|
A rabbi is at this wedding, standing right there standing behind that tree.
| -1no label
| 1,016
|
A rabbi is at this wedding, standing right there standing behind that tree.
|
There is a rabbi at this wedding; he is right there standing behind that tree.
| -1no label
| 1,017
|
The first pleasurable experience I had interacting with another human being was at the age of seventeen.
|
The first experience I had interacting with another human being was at the age of seventeen.
| -1no label
| 1,018
|
The first experience I had interacting with another human being was at the age of seventeen.
|
The first pleasurable experience I had interacting with another human being was at the age of seventeen.
| -1no label
| 1,019
|
The first pleasurable experience I had interacting with another human being was at the age of seventeen.
|
The first displeasurable experience I had interacting with another human being was at the age of seventeen.
| -1no label
| 1,020
|
The first displeasurable experience I had interacting with another human being was at the age of seventeen.
|
The first pleasurable experience I had interacting with another human being was at the age of seventeen.
| -1no label
| 1,021
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
|
He is over 20 years of age.
| -1no label
| 1,022
|
He is over 20 years of age.
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
| -1no label
| 1,023
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
|
He is under 21 years of age.
| -1no label
| 1,024
|
He is under 21 years of age.
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
| -1no label
| 1,025
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
|
He has a beard.
| -1no label
| 1,026
|
He has a beard.
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
| -1no label
| 1,027
|
I can make scrambled eggs, but not complex dishes like consommé.
|
Consommé is more complex to make than scrambled eggs.
| -1no label
| 1,028
|
Consommé is more complex to make than scrambled eggs.
|
I can make scrambled eggs, but not complex dishes like consommé.
| -1no label
| 1,029
|
I can make scrambled eggs, but not complex dishes like consommé.
|
Consommé is not more complex to make than scrambled eggs.
| -1no label
| 1,030
|
Consommé is not more complex to make than scrambled eggs.
|
I can make scrambled eggs, but not complex dishes like consommé.
| -1no label
| 1,031
|
She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.
|
It was raining outside.
| -1no label
| 1,032
|
It was raining outside.
|
She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.
| -1no label
| 1,033
|
She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.
|
It was sunny outside.
| -1no label
| 1,034
|
It was sunny outside.
|
She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.
| -1no label
| 1,035
|
He earnestly proclaimed: "This is all I ever really wanted."
|
He was satisfied.
| -1no label
| 1,036
|
He was satisfied.
|
He earnestly proclaimed: "This is all I ever really wanted."
| -1no label
| 1,037
|
He earnestly proclaimed: "This is all I ever really wanted."
|
He was dissatisfied.
| -1no label
| 1,038
|
He was dissatisfied.
|
He earnestly proclaimed: "This is all I ever really wanted."
| -1no label
| 1,039
|
He deceitfully proclaimed: "This is all I ever really wanted."
|
He was satisfied.
| -1no label
| 1,040
|
He was satisfied.
|
He deceitfully proclaimed: "This is all I ever really wanted."
| -1no label
| 1,041
|
He deceitfully proclaimed: "This is all I ever really wanted."
|
He was dissatisfied.
| -1no label
| 1,042
|
He was dissatisfied.
|
He deceitfully proclaimed: "This is all I ever really wanted."
| -1no label
| 1,043
|
The leading car gradually shifted to the left lane.
|
The leading car shifted to the left lane.
| -1no label
| 1,044
|
The leading car shifted to the left lane.
|
The leading car gradually shifted to the left lane.
| -1no label
| 1,045
|
The leading car gradually shifted to the left lane.
|
The leading car suddenly shifted to the left lane.
| -1no label
| 1,046
|
The leading car suddenly shifted to the left lane.
|
The leading car gradually shifted to the left lane.
| -1no label
| 1,047
|
The leading car gradually shifted to the left lane.
|
The leading car slowly shifted to the left lane.
| -1no label
| 1,048
|
The leading car slowly shifted to the left lane.
|
The leading car gradually shifted to the left lane.
| -1no label
| 1,049
|
The leading car gradually shifted to the left lane.
|
The leading car shifted to the third gear.
| -1no label
| 1,050
|
The leading car shifted to the third gear.
|
The leading car gradually shifted to the left lane.
| -1no label
| 1,051
|
We were dragging the bin into the garage when she had an unfortunate realization.
|
We were dragging the bin out of the garage when she had an unfortunate realization.
| -1no label
| 1,052
|
We were dragging the bin out of the garage when she had an unfortunate realization.
|
We were dragging the bin into the garage when she had an unfortunate realization.
| -1no label
| 1,053
|
The building, standing since the early 20s, was tall and unassuming.
|
The building, standing since the early 20s, was sturdy and unassuming.
| -1no label
| 1,054
|
The building, standing since the early 20s, was sturdy and unassuming.
|
The building, standing since the early 20s, was tall and unassuming.
| -1no label
| 1,055
|
The timing of the meeting has not been set, according to a Starbucks spokesperson.
|
The timing of the meeting has not been considered, according to a Starbucks spokesperson.
| -1no label
| 1,056
|
The timing of the meeting has not been considered, according to a Starbucks spokesperson.
|
The timing of the meeting has not been set, according to a Starbucks spokesperson.
| -1no label
| 1,057
|
The customers said they were waiting for another man to arrive.
|
The customers believed they were waiting for another man to arrive.
| -1no label
| 1,058
|
The customers believed they were waiting for another man to arrive.
|
The customers said they were waiting for another man to arrive.
| -1no label
| 1,059
|
Some of the orator's statements were incomprehensible, but the crowd loved them.
|
Some of the orator's statements were comprehensible, but the crowd loved them.
| -1no label
| 1,060
|
Some of the orator's statements were comprehensible, but the crowd loved them.
|
Some of the orator's statements were incomprehensible, but the crowd loved them.
| -1no label
| 1,061
|
I won't say that she didn't steal my money.
|
I won't say that she stole my money.
| -1no label
| 1,062
|
I won't say that she stole my money.
|
I won't say that she didn't steal my money.
| -1no label
| 1,063
|
I won't say that she didn't steal my money.
|
I will say that she stole my money.
| -1no label
| 1,064
|
I will say that she stole my money.
|
I won't say that she didn't steal my money.
| -1no label
| 1,065
|
I won't say that she didn't steal my money.
|
I will say that she stole my money.
| -1no label
| 1,066
|
I will say that she stole my money.
|
I won't say that she didn't steal my money.
| -1no label
| 1,067
|
There are some amazing hikes around Mt. Fuji.
|
There are some amazing hikes in Japan.
| -1no label
| 1,068
|
There are some amazing hikes in Japan.
|
There are some amazing hikes around Mt. Fuji.
| -1no label
| 1,069
|
There are some amazing hikes around Mt. Fuji.
|
There are some amazing hikes in Nepal.
| -1no label
| 1,070
|
There are some amazing hikes in Nepal.
|
There are some amazing hikes around Mt. Fuji.
| -1no label
| 1,071
|
There are some amazing hikes around Mt. Fuji.
|
There are some strenuous hikes around Mt. Fuji.
| -1no label
| 1,072
|
There are some strenuous hikes around Mt. Fuji.
|
There are some amazing hikes around Mt. Fuji.
| -1no label
| 1,073
|
An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
|
A sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
| -1no label
| 1,074
|
A sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
|
An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
| -1no label
| 1,075
|
An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
|
An Italian sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
| -1no label
| 1,076
|
An Italian sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
|
An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.
| -1no label
| 1,077
|
A fraudulent sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.
|
A sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.
| -1no label
| 1,078
|
A sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.
|
A fraudulent sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.
| -1no label
| 1,079
|
Two of the three trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.
|
Of the three trees outside my window, with their branches dangling and swaying in the wind, two have already bloomed, and it's not even April.
| -1no label
| 1,080
|
Of the three trees outside my window, with their branches dangling and swaying in the wind, two have already bloomed, and it's not even April.
|
Two of the three trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.
| -1no label
| 1,081
|
Two of the trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.
|
Of the trees outside my window, with their branches dangling and swaying in the wind, three have already bloomed, and it's not even April.
| -1no label
| 1,082
|
Of the trees outside my window, with their branches dangling and swaying in the wind, three have already bloomed, and it's not even April.
|
Two of the trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.
| -1no label
| 1,083
|
So far two of my cherry trees have already bloomed, and it's not even April.
|
So far two of my trees have already bloomed, and it's not even April.
| -1no label
| 1,084
|
So far two of my trees have already bloomed, and it's not even April.
|
So far two of my cherry trees have already bloomed, and it's not even April.
| -1no label
| 1,085
|
The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
|
The book astounds as Grossman richly, deeply develops characters and portrays suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
| -1no label
| 1,086
|
The book astounds as Grossman richly, deeply develops characters and portrays suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
|
The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
| -1no label
| 1,087
|
The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
|
The book astounds as Grossman richly, deeply develops characters and ignores suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
| -1no label
| 1,088
|
The book astounds as Grossman richly, deeply develops characters and ignores suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
|
The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.
| -1no label
| 1,089
|
I ate until it was uncomfortable to eat more.
|
I ate until I was full.
| -1no label
| 1,090
|
I ate until I was full.
|
I ate until it was uncomfortable to eat more.
| -1no label
| 1,091
|
He's the kind of Jew who eats bagels with lox every morning during Passover.
|
He's the kind of Jew who doesn't adhere to all of the rules.
| -1no label
| 1,092
|
He's the kind of Jew who doesn't adhere to all of the rules.
|
He's the kind of Jew who eats bagels with lox every morning during Passover.
| -1no label
| 1,093
|
He's the kind of Jew who eats bagels with lox every morning during Passover.
|
He's the kind of Jew who rejects every facet of Jewish identity and culture.
| -1no label
| 1,094
|
He's the kind of Jew who rejects every facet of Jewish identity and culture.
|
He's the kind of Jew who eats bagels with lox every morning during Passover.
| -1no label
| 1,095
|
He's the kind of Jew who eats bagels with lox every morning during Passover.
|
He's the kind of Jew who avoids switching the lights during Shabbat.
| -1no label
| 1,096
|
He's the kind of Jew who avoids switching the lights during Shabbat.
|
He's the kind of Jew who eats bagels with lox every morning during Passover.
| -1no label
| 1,097
|
People wear tunics or shirts of some form or another in many world cultures.
|
Tunics or shirts of some form or another are worn in many world cultures.
| -1no label
| 1,098
|
Tunics or shirts of some form or another are worn in many world cultures.
|
People wear tunics or shirts of some form or another in many world cultures.
| -1no label
| 1,099
|
Subsets and Splits
MNLI Train: Tennis Hypotheses
Retrieves 100 samples from the mnli_train dataset where the hypothesis contains the word 'tennis', providing a basic filter of the data.
MNLI Validation Label Counts
Counts the number of entries in each label category, providing basic insights into the distribution of labels in the dataset.