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Bees do not follow the same rules as airplanes. | Bees fly using a different mechanism from airplanes. | 200 | 0entailment
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Bees fly using a different mechanism from airplanes. | Bees do not follow the same rules as airplanes. | 201 | 0entailment
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Bees do not follow the same rules as airplanes. | Bees fly using the same mechanism as airplanes. | 202 | 1not_entailment
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Bees fly using the same mechanism as airplanes. | Bees do not follow the same rules as airplanes. | 203 | 1not_entailment
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Bees do not follow the same rules as airplanes. | Bees are more energy-efficient flyers than airplanes. | 204 | 1not_entailment
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Bees are more energy-efficient flyers than airplanes. | Bees do not follow the same rules as airplanes. | 205 | 1not_entailment
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Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. | Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. | 206 | 0entailment
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Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. | Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. | 207 | 0entailment
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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. | 208 | 0entailment
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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. | 209 | 0entailment
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Bob married Alice. | Bob and Alice got married. | 210 | 0entailment
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Bob and Alice got married. | Bob married Alice. | 211 | 0entailment
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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. | 212 | 0entailment
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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. | 213 | 0entailment
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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. | 214 | 0entailment
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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. | 215 | 0entailment
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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. | 216 | 0entailment
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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. | 217 | 0entailment
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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. | 218 | 0entailment
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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". | 219 | 0entailment
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Jane had a party on Sunday. | On Sunday, Jane had a party. | 220 | 0entailment
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On Sunday, Jane had a party. | Jane had a party on Sunday. | 221 | 0entailment
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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. | 222 | 0entailment
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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. | 223 | 0entailment
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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. | 224 | 0entailment
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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. | 225 | 0entailment
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Bass River timber was used in construction of the Empire State Building. | In construction of the Empire State Building, Bass River timber was used. | 226 | 0entailment
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In construction of the Empire State Building, Bass River timber was used. | Bass River timber was used in construction of the Empire State Building. | 227 | 0entailment
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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. | 228 | 0entailment
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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. | 229 | 0entailment
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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. | 230 | 1not_entailment
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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. | 231 | 1not_entailment
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I ate pizza with friends. | I ate pizza. | 232 | 0entailment
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I ate pizza. | I ate pizza with friends. | 233 | 0entailment
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I ate pizza with some friends. | I ate some friends. | 234 | 1not_entailment
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I ate some friends. | I ate pizza with some friends. | 235 | 1not_entailment
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I ate pizza with olives. | I ate pizza. | 236 | 0entailment
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I ate pizza. | I ate pizza with olives. | 237 | 1not_entailment
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I ate pizza with olives. | I ate olives. | 238 | 0entailment
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I ate olives. | I ate pizza with olives. | 239 | 1not_entailment
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Mueller received a mandate to investigate possible collusion with Russia. | Mueller received a mandate to investigate possible collusion. | 240 | 0entailment
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Mueller received a mandate to investigate possible collusion. | Mueller received a mandate to investigate possible collusion with Russia. | 241 | 1not_entailment
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Mueller received a mandate to investigate possible collusion with Russia. | Mueller received a mandate to investigate with Russia. | 242 | 1not_entailment
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Mueller received a mandate to investigate with Russia. | Mueller received a mandate to investigate possible collusion with Russia. | 243 | 1not_entailment
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Mueller received a mandate to investigate possible collusion with vast resources. | Mueller received a mandate to investigate possible collusion. | 244 | 0entailment
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Mueller received a mandate to investigate possible collusion. | Mueller received a mandate to investigate possible collusion with vast resources. | 245 | 1not_entailment
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Mueller received a mandate to investigate possible collusion with vast resources. | Mueller received a mandate to investigate with vast resources. | 246 | 0entailment
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Mueller received a mandate to investigate with vast resources. | Mueller received a mandate to investigate possible collusion with vast resources. | 247 | 1not_entailment
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They should be attached to the lifting mechanism in the faucet. | They should be attached to the lifting mechanism. | 248 | 0entailment
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They should be attached to the lifting mechanism. | They should be attached to the lifting mechanism in the faucet. | 249 | 1not_entailment
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They should be attached to the lifting mechanism in the faucet. | They should be attached in the faucet. | 250 | 0entailment
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They should be attached in the faucet. | They should be attached to the lifting mechanism in the faucet. | 251 | 1not_entailment
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They should be attached to the lifting mechanism in an unbreakable knot. | They should be attached to the lifting mechanism. | 252 | 0entailment
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They should be attached to the lifting mechanism. | They should be attached to the lifting mechanism in an unbreakable knot. | 253 | 1not_entailment
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They should be attached to the lifting mechanism in an unbreakable knot. | They should be attached in an unbreakable knot. | 254 | 0entailment
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They should be attached in an unbreakable knot. | They should be attached to the lifting mechanism in an unbreakable knot. | 255 | 1not_entailment
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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. | 256 | 0entailment
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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. | 257 | 1not_entailment
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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. | 258 | 0entailment
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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. | 259 | 1not_entailment
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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. | 260 | 0entailment
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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. | 261 | 1not_entailment
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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. | 262 | 0entailment
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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. | 263 | 1not_entailment
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We propose models of the probability distribution from which the attested vowel inventories have been drawn. | We propose models of the probability distribution. | 264 | 0entailment
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We propose models of the probability distribution. | We propose models of the probability distribution from which the attested vowel inventories have been drawn. | 265 | 1not_entailment
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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. | 266 | 1not_entailment
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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. | 267 | 1not_entailment
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We propose models of the probability distribution from a restricted space of linear functions. | We propose models of the probability distribution. | 268 | 0entailment
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We propose models of the probability distribution. | We propose models of the probability distribution from a restricted space of linear functions. | 269 | 1not_entailment
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We propose models of the probability distribution from a restricted space of linear functions. | We propose models from a restricted space of linear functions. | 270 | 0entailment
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We propose models from a restricted space of linear functions. | We propose models of the probability distribution from a restricted space of linear functions. | 271 | 1not_entailment
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George went to the lake to catch a fish, but he fell into the water. | George fell into the water. | 272 | 0entailment
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George fell into the water. | George went to the lake to catch a fish, but he fell into the water. | 273 | 1not_entailment
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George went to the lake to catch a fish, but he fell into the water. | A fish fell into the water. | 274 | 1not_entailment
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A fish fell into the water. | George went to the lake to catch a fish, but he fell into the water. | 275 | 1not_entailment
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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. | 276 | 0entailment
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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. | 277 | 1not_entailment
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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. | 278 | 1not_entailment
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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. | 279 | 1not_entailment
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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. | 280 | 0entailment
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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. | 281 | 1not_entailment
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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. | 282 | 1not_entailment
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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. | 283 | 1not_entailment
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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. | 284 | 0entailment
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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. | 285 | 1not_entailment
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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. | 286 | 1not_entailment
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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. | 287 | 1not_entailment
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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. | 288 | 1not_entailment
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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. | 289 | 1not_entailment
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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. | 290 | 1not_entailment
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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. | 291 | 1not_entailment
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The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Sweden. | 292 | 0entailment
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The sides came to an agreement after their meeting in Sweden. | The sides came to an agreement after their meeting in Stockholm. | 293 | 1not_entailment
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The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Europe. | 294 | 0entailment
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The sides came to an agreement after their meeting in Europe. | The sides came to an agreement after their meeting in Stockholm. | 295 | 1not_entailment
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The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Oslo. | 296 | 1not_entailment
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The sides came to an agreement after their meeting in Oslo. | The sides came to an agreement after their meeting in Stockholm. | 297 | 1not_entailment
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Musk decided to offer up his personal Tesla roadster. | Musk decided to offer up his personal car. | 298 | 0entailment
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Musk decided to offer up his personal car. | Musk decided to offer up his personal Tesla roadster. | 299 | 1not_entailment
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