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 Validation Label Counts
Counts the number of entries in each label category, providing basic insights into the distribution of labels in the dataset.