sentence1
stringlengths 11
296
| sentence2
stringlengths 11
296
| idx
int32 0
1.1k
| label
class label 2
classes |
|---|---|---|---|
Jake broke the vase.
|
Jake broke.
| 1,000 | 1not_entailment
|
Jake broke.
|
Jake broke the vase.
| 1,001 | 1not_entailment
|
He is someone of many talents.
|
He has many talents.
| 1,002 | 0entailment
|
He has many talents.
|
He is someone of many talents.
| 1,003 | 0entailment
|
He is someone of many talents.
|
His talents are many.
| 1,004 | 0entailment
|
His talents are many.
|
He is someone of many talents.
| 1,005 | 0entailment
|
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.
| 1,006 | 0entailment
|
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.
| 1,007 | 0entailment
|
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.
| 1,008 | 1not_entailment
|
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.
| 1,009 | 0entailment
|
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.
| 1,010 | 0entailment
|
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.
| 1,011 | 0entailment
|
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.
| 1,012 | 1not_entailment
|
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.
| 1,013 | 1not_entailment
|
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.
| 1,014 | 0entailment
|
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.
| 1,015 | 0entailment
|
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.
| 1,016 | 0entailment
|
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.
| 1,017 | 0entailment
|
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.
| 1,018 | 1not_entailment
|
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.
| 1,019 | 1not_entailment
|
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.
| 1,020 | 1not_entailment
|
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.
| 1,021 | 1not_entailment
|
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.
| 1,022 | 0entailment
|
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.
| 1,023 | 1not_entailment
|
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.
| 1,024 | 1not_entailment
|
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.
| 1,025 | 1not_entailment
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
|
He has a beard.
| 1,026 | 1not_entailment
|
He has a beard.
|
It being his first night in the US, he eagerly got a drink at the bar after showing his ID.
| 1,027 | 1not_entailment
|
I can make scrambled eggs, but not complex dishes like consommé.
|
Consommé is more complex to make than scrambled eggs.
| 1,028 | 0entailment
|
Consommé is more complex to make than scrambled eggs.
|
I can make scrambled eggs, but not complex dishes like consommé.
| 1,029 | 1not_entailment
|
I can make scrambled eggs, but not complex dishes like consommé.
|
Consommé is not more complex to make than scrambled eggs.
| 1,030 | 1not_entailment
|
Consommé is not more complex to make than scrambled eggs.
|
I can make scrambled eggs, but not complex dishes like consommé.
| 1,031 | 1not_entailment
|
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.
| 1,032 | 0entailment
|
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.
| 1,033 | 1not_entailment
|
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.
| 1,034 | 1not_entailment
|
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.
| 1,035 | 1not_entailment
|
He earnestly proclaimed: "This is all I ever really wanted."
|
He was satisfied.
| 1,036 | 0entailment
|
He was satisfied.
|
He earnestly proclaimed: "This is all I ever really wanted."
| 1,037 | 1not_entailment
|
He earnestly proclaimed: "This is all I ever really wanted."
|
He was dissatisfied.
| 1,038 | 1not_entailment
|
He was dissatisfied.
|
He earnestly proclaimed: "This is all I ever really wanted."
| 1,039 | 1not_entailment
|
He deceitfully proclaimed: "This is all I ever really wanted."
|
He was satisfied.
| 1,040 | 1not_entailment
|
He was satisfied.
|
He deceitfully proclaimed: "This is all I ever really wanted."
| 1,041 | 1not_entailment
|
He deceitfully proclaimed: "This is all I ever really wanted."
|
He was dissatisfied.
| 1,042 | 0entailment
|
He was dissatisfied.
|
He deceitfully proclaimed: "This is all I ever really wanted."
| 1,043 | 1not_entailment
|
The leading car gradually shifted to the left lane.
|
The leading car shifted to the left lane.
| 1,044 | 0entailment
|
The leading car shifted to the left lane.
|
The leading car gradually shifted to the left lane.
| 1,045 | 1not_entailment
|
The leading car gradually shifted to the left lane.
|
The leading car suddenly shifted to the left lane.
| 1,046 | 1not_entailment
|
The leading car suddenly shifted to the left lane.
|
The leading car gradually shifted to the left lane.
| 1,047 | 1not_entailment
|
The leading car gradually shifted to the left lane.
|
The leading car slowly shifted to the left lane.
| 1,048 | 0entailment
|
The leading car slowly shifted to the left lane.
|
The leading car gradually shifted to the left lane.
| 1,049 | 0entailment
|
The leading car gradually shifted to the left lane.
|
The leading car shifted to the third gear.
| 1,050 | 1not_entailment
|
The leading car shifted to the third gear.
|
The leading car gradually shifted to the left lane.
| 1,051 | 1not_entailment
|
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.
| 1,052 | 1not_entailment
|
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.
| 1,053 | 1not_entailment
|
The building, standing since the early 20s, was tall and unassuming.
|
The building, standing since the early 20s, was sturdy and unassuming.
| 1,054 | 1not_entailment
|
The building, standing since the early 20s, was sturdy and unassuming.
|
The building, standing since the early 20s, was tall and unassuming.
| 1,055 | 1not_entailment
|
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.
| 1,056 | 1not_entailment
|
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.
| 1,057 | 0entailment
|
The customers said they were waiting for another man to arrive.
|
The customers believed they were waiting for another man to arrive.
| 1,058 | 1not_entailment
|
The customers believed they were waiting for another man to arrive.
|
The customers said they were waiting for another man to arrive.
| 1,059 | 1not_entailment
|
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.
| 1,060 | 1not_entailment
|
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.
| 1,061 | 1not_entailment
|
I won't say that she didn't steal my money.
|
I won't say that she stole my money.
| 1,062 | 1not_entailment
|
I won't say that she stole my money.
|
I won't say that she didn't steal my money.
| 1,063 | 1not_entailment
|
I won't say that she didn't steal my money.
|
I will say that she stole my money.
| 1,064 | 1not_entailment
|
I will say that she stole my money.
|
I won't say that she didn't steal my money.
| 1,065 | 1not_entailment
|
I won't say that she didn't steal my money.
|
I will say that she stole my money.
| 1,066 | 1not_entailment
|
I will say that she stole my money.
|
I won't say that she didn't steal my money.
| 1,067 | 1not_entailment
|
There are some amazing hikes around Mt. Fuji.
|
There are some amazing hikes in Japan.
| 1,068 | 0entailment
|
There are some amazing hikes in Japan.
|
There are some amazing hikes around Mt. Fuji.
| 1,069 | 1not_entailment
|
There are some amazing hikes around Mt. Fuji.
|
There are some amazing hikes in Nepal.
| 1,070 | 1not_entailment
|
There are some amazing hikes in Nepal.
|
There are some amazing hikes around Mt. Fuji.
| 1,071 | 1not_entailment
|
There are some amazing hikes around Mt. Fuji.
|
There are some strenuous hikes around Mt. Fuji.
| 1,072 | 1not_entailment
|
There are some strenuous hikes around Mt. Fuji.
|
There are some amazing hikes around Mt. Fuji.
| 1,073 | 1not_entailment
|
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.
| 1,074 | 1not_entailment
|
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.
| 1,075 | 0entailment
|
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.
| 1,076 | 1not_entailment
|
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.
| 1,077 | 1not_entailment
|
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.
| 1,078 | 1not_entailment
|
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.
| 1,079 | 1not_entailment
|
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.
| 1,080 | 0entailment
|
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.
| 1,081 | 0entailment
|
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.
| 1,082 | 1not_entailment
|
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.
| 1,083 | 1not_entailment
|
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.
| 1,084 | 1not_entailment
|
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.
| 1,085 | 1not_entailment
|
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.
| 1,086 | 0entailment
|
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.
| 1,087 | 0entailment
|
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.
| 1,088 | 1not_entailment
|
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.
| 1,089 | 1not_entailment
|
I ate until it was uncomfortable to eat more.
|
I ate until I was full.
| 1,090 | 0entailment
|
I ate until I was full.
|
I ate until it was uncomfortable to eat more.
| 1,091 | 0entailment
|
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.
| 1,092 | 0entailment
|
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.
| 1,093 | 1not_entailment
|
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.
| 1,094 | 1not_entailment
|
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.
| 1,095 | 1not_entailment
|
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.
| 1,096 | 1not_entailment
|
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.
| 1,097 | 1not_entailment
|
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.
| 1,098 | 0entailment
|
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.
| 1,099 | 0entailment
|
Subsets and Splits
Non-Entailment Examples Sampled
Retrieves 60 random pairs of sentences that are not entailed, providing basic filtering of the dataset.