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
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Common sense | Reddit | Bees do not follow the same rules as airplanes. | Bees fly using a different mechanism from airplanes. | 0 |
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Common sense | Reddit | Bees fly using a different mechanism from airplanes. | Bees do not follow the same rules as airplanes. | 0 |
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Common sense | Reddit | Bees do not follow the same rules as airplanes. | Bees fly using the same mechanism as airplanes. | 2 |
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Common sense | Reddit | Bees fly using the same mechanism as airplanes. | Bees do not follow the same rules as airplanes. | 2 |
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Common sense | Reddit | Bees do not follow the same rules as airplanes. | Bees are more energy-efficient flyers than airplanes. | 1 |
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Common sense | Reddit | Bees are more energy-efficient flyers than airplanes. | Bees do not follow the same rules as airplanes. | 1 |
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Symmetry/Collectivity | Core args | Wikipedia | Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. | Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. | 0 |
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Symmetry/Collectivity | Core args | Wikipedia | Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. | Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. | 0 |
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Symmetry/Collectivity | Core args | ACL | This means that solving analogy questions with vector arithmetic is mathematically equivalent to seeking a word that is similar to x and y but is different from z. | This means that seeking a word that is similar to x and y but is different from z is mathematically equivalent to solving analogy questions with vector arithmetic. | 0 |
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Symmetry/Collectivity | Core args | ACL | This means that seeking a word that is similar to x and y but is different from z is mathematically equivalent to solving analogy questions with vector arithmetic. | This means that solving analogy questions with vector arithmetic is mathematically equivalent to seeking a word that is similar to x and y but is different from z. | 0 |
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Symmetry/Collectivity | Core args | Artificial | Bob married Alice. | Bob and Alice got married. | 0 |
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Symmetry/Collectivity | Core args | Artificial | Bob and Alice got married. | Bob married Alice. | 0 |
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Symmetry/Collectivity | Core args | News | Tulsi Gabbard disagrees with Bernie Sanders on what is the best way to deal with Bashar al-Assad. | Tulsi Gabbard and Bernie Sanders disagree on what is the best way to deal with Bashar al-Assad. | 0 |
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Symmetry/Collectivity | Core args | News | Tulsi Gabbard and Bernie Sanders disagree on what is the best way to deal with Bashar al-Assad. | Tulsi Gabbard disagrees with Bernie Sanders on what is the best way to deal with Bashar al-Assad. | 0 |
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Symmetry/Collectivity | Core args | Reddit | It reminds me of the times I played Super Mario with my little brother. | It reminds me of the times my little brother and I played Super Mario. | 0 |
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Symmetry/Collectivity | Core args | Reddit | It reminds me of the times my little brother and I played Super Mario. | It reminds me of the times I played Super Mario with my little brother. | 0 |
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Symmetry/Collectivity | Core args | Wikipedia | In this PC game, Shredder fights the turtles in his Manhattan hideout. | In this PC game, Shredder and the turtles fight in his Manhattan hideout. | 0 |
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Symmetry/Collectivity | Core args | Wikipedia | In this PC game, Shredder and the turtles fight in his Manhattan hideout. | In this PC game, Shredder fights the turtles in his Manhattan hideout. | 0 |
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Symmetry/Collectivity | Core args | ACL | If their vectors' cosine similarity is high, we can conclude that "cat" is similar to "dog". | If their vectors' cosine similarity is high, we can conclude that "cat" and "dog" are similar. | 0 |
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Symmetry/Collectivity | Core args | ACL | If their vectors' cosine similarity is high, we can conclude that "cat" and "dog" are similar. | If their vectors' cosine similarity is high, we can conclude that "cat" is similar to "dog". | 0 |
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Prepositional phrases | Artificial | Jane had a party on Sunday. | On Sunday, Jane had a party. | 0 |
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Prepositional phrases | Artificial | On Sunday, Jane had a party. | Jane had a party on Sunday. | 0 |
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Prepositional phrases | News | For decades, the FBI has been trusted to investigate corruption inside the government. | The FBI has been trusted to investigate corruption inside the government for decades. | 0 |
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Prepositional phrases | News | The FBI has been trusted to investigate corruption inside the government for decades. | For decades, the FBI has been trusted to investigate corruption inside the government. | 0 |
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Prepositional phrases | Reddit | I was driving through my neighborhood a few weeks ago, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. | A few weeks ago, I was driving through my neighborhood, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. | 0 |
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Prepositional phrases | Reddit | A few weeks ago, I was driving through my neighborhood, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. | I was driving through my neighborhood a few weeks ago, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. | 0 |
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Prepositional phrases | Wikipedia | Bass River timber was used in construction of the Empire State Building. | In construction of the Empire State Building, Bass River timber was used. | 0 |
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Prepositional phrases | Wikipedia | In construction of the Empire State Building, Bass River timber was used. | Bass River timber was used in construction of the Empire State Building. | 0 |
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Prepositional phrases | ACL | In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. | We present in this paper an approach to acquire trivial physical knowledge from unstructured natural language text. | 0 |
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Prepositional phrases | ACL | We present in this paper an approach to acquire trivial physical knowledge from unstructured natural language text. | In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. | 0 |
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Prepositional phrases | ACL | In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. | We present an approach to acquire trivial physical knowledge from the unstructured natural language text of this paper. | 1 |
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Prepositional phrases | ACL | We present an approach to acquire trivial physical knowledge from the unstructured natural language text of this paper. | In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. | 1 |
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Prepositional phrases | Artificial | I ate pizza with friends. | I ate pizza. | 0 |
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Prepositional phrases | Artificial | I ate pizza. | I ate pizza with friends. | 0 |
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Prepositional phrases | Artificial | I ate pizza with some friends. | I ate some friends. | 1 |
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Prepositional phrases | Artificial | I ate some friends. | I ate pizza with some friends. | 1 |
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Prepositional phrases | Artificial | I ate pizza with olives. | I ate pizza. | 0 |
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Prepositional phrases | Artificial | I ate pizza. | I ate pizza with olives. | 1 |
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Prepositional phrases | Artificial | I ate pizza with olives. | I ate olives. | 0 |
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Prepositional phrases | Artificial | I ate olives. | I ate pizza with olives. | 1 |
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Prepositional phrases | News | Mueller received a mandate to investigate possible collusion with Russia. | Mueller received a mandate to investigate possible collusion. | 0 |
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Prepositional phrases | News | Mueller received a mandate to investigate possible collusion. | Mueller received a mandate to investigate possible collusion with Russia. | 1 |
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Prepositional phrases | News | Mueller received a mandate to investigate possible collusion with Russia. | Mueller received a mandate to investigate with Russia. | 1 |
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Prepositional phrases | News | Mueller received a mandate to investigate with Russia. | Mueller received a mandate to investigate possible collusion with Russia. | 1 |
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Prepositional phrases | News | Mueller received a mandate to investigate possible collusion with vast resources. | Mueller received a mandate to investigate possible collusion. | 0 |
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Prepositional phrases | News | Mueller received a mandate to investigate possible collusion. | Mueller received a mandate to investigate possible collusion with vast resources. | 1 |
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Prepositional phrases | News | Mueller received a mandate to investigate possible collusion with vast resources. | Mueller received a mandate to investigate with vast resources. | 0 |
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Prepositional phrases | News | Mueller received a mandate to investigate with vast resources. | Mueller received a mandate to investigate possible collusion with vast resources. | 1 |
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Prepositional phrases | Reddit | They should be attached to the lifting mechanism in the faucet. | They should be attached to the lifting mechanism. | 0 |
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Prepositional phrases | Reddit | They should be attached to the lifting mechanism. | They should be attached to the lifting mechanism in the faucet. | 1 |
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Prepositional phrases | Reddit | They should be attached to the lifting mechanism in the faucet. | They should be attached in the faucet. | 0 |
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Prepositional phrases | Reddit | They should be attached in the faucet. | They should be attached to the lifting mechanism in the faucet. | 1 |
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Prepositional phrases | Reddit | They should be attached to the lifting mechanism in an unbreakable knot. | They should be attached to the lifting mechanism. | 0 |
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Prepositional phrases | Reddit | They should be attached to the lifting mechanism. | They should be attached to the lifting mechanism in an unbreakable knot. | 1 |
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Prepositional phrases | Reddit | They should be attached to the lifting mechanism in an unbreakable knot. | They should be attached in an unbreakable knot. | 0 |
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Prepositional phrases | Reddit | They should be attached in an unbreakable knot. | They should be attached to the lifting mechanism in an unbreakable knot. | 1 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. | Tanks were developed by Britain and France, and were first used with only partial success. | 0 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used with only partial success. | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. | 1 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. | Tanks were developed by Britain and France, and were first used in combat by the British during a battle. | 0 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used in combat by the British during a battle. | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. | 1 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. | Tanks were developed by Britain and France, and were first used with German forces. | 0 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used with German forces. | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. | 1 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. | Tanks were developed by Britain and France, and were first used in combat by the British during a battle. | 0 |
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Prepositional phrases | Wikipedia | Tanks were developed by Britain and France, and were first used in combat by the British during a battle. | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. | 1 |
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Prepositional phrases | ACL | We propose models of the probability distribution from which the attested vowel inventories have been drawn. | We propose models of the probability distribution. | 0 |
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Prepositional phrases | ACL | We propose models of the probability distribution. | We propose models of the probability distribution from which the attested vowel inventories have been drawn. | 1 |
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Prepositional phrases | ACL | We propose models of the probability distribution from which the attested vowel inventories have been drawn. | We propose models from which the attested vowel inventories have been drawn. | 1 |
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Prepositional phrases | ACL | We propose models from which the attested vowel inventories have been drawn. | We propose models of the probability distribution from which the attested vowel inventories have been drawn. | 1 |
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Prepositional phrases | ACL | We propose models of the probability distribution from a restricted space of linear functions. | We propose models of the probability distribution. | 0 |
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Prepositional phrases | ACL | We propose models of the probability distribution. | We propose models of the probability distribution from a restricted space of linear functions. | 1 |
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Prepositional phrases | ACL | We propose models of the probability distribution from a restricted space of linear functions. | We propose models from a restricted space of linear functions. | 0 |
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Prepositional phrases | ACL | We propose models from a restricted space of linear functions. | We propose models of the probability distribution from a restricted space of linear functions. | 1 |
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Anaphora/Coreference | Artificial | George went to the lake to catch a fish, but he fell into the water. | George fell into the water. | 0 |
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Anaphora/Coreference | Artificial | George fell into the water. | George went to the lake to catch a fish, but he fell into the water. | 1 |
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Anaphora/Coreference | Artificial | George went to the lake to catch a fish, but he fell into the water. | A fish fell into the water. | 1 |
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Anaphora/Coreference | Artificial | A fish fell into the water. | George went to the lake to catch a fish, but he fell into the water. | 1 |
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Anaphora/Coreference | News | The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. | That bill would increase the debt too much. | 0 |
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Anaphora/Coreference | News | That bill would increase the debt too much. | The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. | 1 |
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Anaphora/Coreference | News | The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. | The Republican party would increase the debt too much. | 1 |
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Anaphora/Coreference | News | The Republican party would increase the debt too much. | The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. | 1 |
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Anaphora/Coreference | Reddit | The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. | The squash overshadowed several adjacent rows of beans. | 0 |
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Anaphora/Coreference | Reddit | The squash overshadowed several adjacent rows of beans. | The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. | 1 |
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Anaphora/Coreference | Reddit | The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. | The corn overshadowed several adjacent rows of beans. | 1 |
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Anaphora/Coreference | Reddit | The corn overshadowed several adjacent rows of beans. | The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. | 1 |
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Anaphora/Coreference | Wikipedia | Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. | Britain's declaration of war in 1914 automatically brought Canada into World War I. | 0 |
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Anaphora/Coreference | Wikipedia | Britain's declaration of war in 1914 automatically brought Canada into World War I. | Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. | 1 |
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Anaphora/Coreference | Wikipedia | Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. | Canada's declaration of war in 1914 automatically brought Canada into World War I. | 1 |
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Anaphora/Coreference | Wikipedia | Canada's declaration of war in 1914 automatically brought Canada into World War I. | Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. | 1 |
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Anaphora/Coreference | ACL | We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. | Coreference resolvers can hardly generalize to unseen domains. | 1 |
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Anaphora/Coreference | ACL | Coreference resolvers can hardly generalize to unseen domains. | We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. | 1 |
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Anaphora/Coreference | ACL | We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. | Lexical features can hardly generalize to unseen domains. | 1 |
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Anaphora/Coreference | ACL | Lexical features can hardly generalize to unseen domains. | We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. | 1 |
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Named entities | World knowledge | Artificial | The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Sweden. | 0 |
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Named entities | World knowledge | Artificial | The sides came to an agreement after their meeting in Sweden. | The sides came to an agreement after their meeting in Stockholm. | 1 |
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Named entities | World knowledge | Artificial | The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Europe. | 0 |
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Named entities | World knowledge | Artificial | The sides came to an agreement after their meeting in Europe. | The sides came to an agreement after their meeting in Stockholm. | 1 |
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Named entities | World knowledge | Artificial | The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Oslo. | 2 |
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Named entities | World knowledge | Artificial | The sides came to an agreement after their meeting in Oslo. | The sides came to an agreement after their meeting in Stockholm. | 2 |
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Named entities | World knowledge | News | Musk decided to offer up his personal Tesla roadster. | Musk decided to offer up his personal car. | 0 |
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Named entities | World knowledge | News | Musk decided to offer up his personal car. | Musk decided to offer up his personal Tesla roadster. | 1 |