lexical semantics
stringclasses 11
values | predicate-argument structure
stringclasses 24
values | logic
stringclasses 30
values | knowledge
stringclasses 3
values | domain
stringclasses 5
values | premise
stringlengths 11
296
| hypothesis
stringlengths 11
296
| label
int64 0
2
|
|---|---|---|---|---|---|---|---|
Core args | Artificial | Jake broke the vase. | Jake broke. | 1 |
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Core args | Artificial | Jake broke. | Jake broke the vase. | 1 |
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Genitives/Partitives | Artificial | He is someone of many talents. | He has many talents. | 0 |
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Genitives/Partitives | Artificial | He has many talents. | He is someone of many talents. | 0 |
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Genitives/Partitives | Artificial | He is someone of many talents. | His talents are many. | 0 |
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Genitives/Partitives | Artificial | His talents are many. | He is someone of many talents. | 0 |
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Restrictivity;Anaphora/Coreference | Artificial | 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. | 0 |
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Restrictivity;Anaphora/Coreference | Artificial | 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. | 0 |
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Restrictivity;Relative clauses | Downward monotone | Artificial | 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 |
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Restrictivity;Relative clauses | Downward monotone | Artificial | 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. | 0 |
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Double negation | Artificial | 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. | 0 |
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Double negation | Artificial | 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. | 0 |
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Double negation;Negation | Artificial | 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. | 2 |
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Double negation;Negation | Artificial | 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. | 2 |
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Anaphora/Coreference | Double negation | Artificial | 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. | 0 |
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Anaphora/Coreference | Double negation | Artificial | 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. | 0 |
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Anaphora/Coreference | Artificial | 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. | 0 |
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Anaphora/Coreference | Artificial | 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. | 0 |
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Intersectivity | Non-monotone | Artificial | 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 |
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Intersectivity | Non-monotone | Artificial | 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 |
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Intersectivity | Non-monotone | Artificial | 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 |
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Intersectivity | Non-monotone | Artificial | 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 |
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Intervals/Numbers | World knowledge | Artificial | 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. | 0 |
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Intervals/Numbers | World knowledge | Artificial | 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 |
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Intervals/Numbers | World knowledge | Artificial | 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. | 2 |
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Intervals/Numbers | World knowledge | Artificial | 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. | 2 |
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World knowledge | Artificial | 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 |
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World knowledge | Artificial | 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 |
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Common sense | Artificial | I can make scrambled eggs, but not complex dishes like consommé. | Consommé is more complex to make than scrambled eggs. | 0 |
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Common sense | Artificial | Consommé is more complex to make than scrambled eggs. | I can make scrambled eggs, but not complex dishes like consommé. | 1 |
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Negation | Common sense | Artificial | I can make scrambled eggs, but not complex dishes like consommé. | Consommé is not more complex to make than scrambled eggs. | 2 |
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Negation | Common sense | Artificial | Consommé is not more complex to make than scrambled eggs. | I can make scrambled eggs, but not complex dishes like consommé. | 2 |
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Common sense | Artificial | 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. | 0 |
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Common sense | Artificial | 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 |
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Common sense | Artificial | 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. | 2 |
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Common sense | Artificial | 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. | 2 |
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Common sense | Artificial | He earnestly proclaimed: "This is all I ever really wanted." | He was satisfied. | 0 |
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Common sense | Artificial | He was satisfied. | He earnestly proclaimed: "This is all I ever really wanted." | 1 |
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Common sense | Artificial | He earnestly proclaimed: "This is all I ever really wanted." | He was dissatisfied. | 2 |
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Common sense | Artificial | He was dissatisfied. | He earnestly proclaimed: "This is all I ever really wanted." | 2 |
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Common sense | Artificial | He deceitfully proclaimed: "This is all I ever really wanted." | He was satisfied. | 2 |
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Common sense | Artificial | He was satisfied. | He deceitfully proclaimed: "This is all I ever really wanted." | 2 |
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Common sense | Artificial | He deceitfully proclaimed: "This is all I ever really wanted." | He was dissatisfied. | 0 |
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Common sense | Artificial | He was dissatisfied. | He deceitfully proclaimed: "This is all I ever really wanted." | 1 |
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Intersectivity | Upward monotone | Artificial | The leading car gradually shifted to the left lane. | The leading car shifted to the left lane. | 0 |
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Intersectivity | Upward monotone | Artificial | The leading car shifted to the left lane. | The leading car gradually shifted to the left lane. | 1 |
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Lexical entailment | Artificial | The leading car gradually shifted to the left lane. | The leading car suddenly shifted to the left lane. | 2 |
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Lexical entailment | Artificial | The leading car suddenly shifted to the left lane. | The leading car gradually shifted to the left lane. | 2 |
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Lexical entailment | Artificial | The leading car gradually shifted to the left lane. | The leading car slowly shifted to the left lane. | 0 |
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Lexical entailment | Artificial | The leading car slowly shifted to the left lane. | The leading car gradually shifted to the left lane. | 0 |
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Prepositional phrases | Artificial | The leading car gradually shifted to the left lane. | The leading car shifted to the third gear. | 1 |
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Prepositional phrases | Artificial | The leading car shifted to the third gear. | The leading car gradually shifted to the left lane. | 1 |
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Lexical entailment | Common sense | Artificial | 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. | 2 |
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Lexical entailment | Common sense | Artificial | 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. | 2 |
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Lexical entailment | Artificial | The building, standing since the early 20s, was tall and unassuming. | The building, standing since the early 20s, was sturdy and unassuming. | 1 |
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Lexical entailment | Artificial | The building, standing since the early 20s, was sturdy and unassuming. | The building, standing since the early 20s, was tall and unassuming. | 1 |
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Lexical entailment | Downward monotone | News | 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 |
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Lexical entailment | Downward monotone | News | 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. | 0 |
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Lexical entailment | News | The customers said they were waiting for another man to arrive. | The customers believed they were waiting for another man to arrive. | 1 |
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Lexical entailment | News | The customers believed they were waiting for another man to arrive. | The customers said they were waiting for another man to arrive. | 1 |
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Morphological negation | Upward monotone | Artificial | 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 |
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Morphological negation | Upward monotone | Artificial | 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 |
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Factivity | Negation | Artificial | I won't say that she didn't steal my money. | I won't say that she stole my money. | 1 |
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Factivity | Negation | Artificial | I won't say that she stole my money. | I won't say that she didn't steal my money. | 1 |
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Factivity | Double negation | Artificial | I won't say that she didn't steal my money. | I will say that she stole my money. | 1 |
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Factivity | Double negation | Artificial | I will say that she stole my money. | I won't say that she didn't steal my money. | 1 |
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Negation | Artificial | I won't say that she didn't steal my money. | I will say that she stole my money. | 2 |
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Negation | Artificial | I will say that she stole my money. | I won't say that she didn't steal my money. | 2 |
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Upward monotone | World knowledge | Artificial | There are some amazing hikes around Mt. Fuji. | There are some amazing hikes in Japan. | 0 |
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Upward monotone | World knowledge | Artificial | There are some amazing hikes in Japan. | There are some amazing hikes around Mt. Fuji. | 1 |
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Upward monotone | World knowledge | Artificial | There are some amazing hikes around Mt. Fuji. | There are some amazing hikes in Nepal. | 1 |
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Upward monotone | World knowledge | Artificial | There are some amazing hikes in Nepal. | There are some amazing hikes around Mt. Fuji. | 1 |
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Lexical entailment | Upward monotone | Artificial | There are some amazing hikes around Mt. Fuji. | There are some strenuous hikes around Mt. Fuji. | 1 |
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Lexical entailment | Upward monotone | Artificial | There are some strenuous hikes around Mt. Fuji. | There are some amazing hikes around Mt. Fuji. | 1 |
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Intersectivity | Downward monotone | Artificial | 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 |
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Intersectivity | Downward monotone | Artificial | 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. | 0 |
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Intersectivity | Downward monotone | Artificial | 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 |
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Intersectivity | Downward monotone | Artificial | 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 |
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Intersectivity | Artificial | 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 |
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Intersectivity | Artificial | 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 |
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Anaphora/Coreference;Prepositional phrases | Artificial | 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. | 0 |
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Anaphora/Coreference;Prepositional phrases | Artificial | 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. | 0 |
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Anaphora/Coreference;Prepositional phrases | Artificial | 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. | 2 |
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Anaphora/Coreference;Prepositional phrases | Artificial | 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. | 2 |
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Intersectivity | Non-monotone | Artificial | 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 |
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Intersectivity | Non-monotone | Artificial | 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 |
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Nominalization | Artificial | 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. | 0 |
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Nominalization | Artificial | 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. | 0 |
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Lexical entailment | Nominalization | Artificial | 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. | 2 |
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Lexical entailment | Nominalization | Artificial | 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. | 2 |
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Common sense | Artificial | I ate until it was uncomfortable to eat more. | I ate until I was full. | 0 |
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Common sense | Artificial | I ate until I was full. | I ate until it was uncomfortable to eat more. | 0 |
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World knowledge | Artificial | 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. | 0 |
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World knowledge | Artificial | 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 |
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World knowledge | Artificial | 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. | 2 |
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World knowledge | Artificial | 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. | 2 |
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World knowledge | Artificial | 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. | 2 |
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World knowledge | Artificial | 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. | 2 |
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Active/Passive | Artificial | 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. | 0 |
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Active/Passive | Artificial | 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. | 0 |