premise
stringlengths 11
296
| hypothesis
stringlengths 11
296
| label
stringclasses 1
value | idx
int32 0
1.1k
| __hfsplit__
stringclasses 1
value | __rowid__
stringlengths 32
32
|
|---|---|---|---|---|---|
Bees do not follow the same rules as airplanes. | Bees fly using a different mechanism from airplanes. | contradiction | 200 | test | 94db921ed0f24a5da5f79ddb1710435b |
Bees fly using a different mechanism from airplanes. | Bees do not follow the same rules as airplanes. | contradiction | 201 | test | 4482a028a5894342b37f304236ab48ad |
Bees do not follow the same rules as airplanes. | Bees fly using the same mechanism as airplanes. | contradiction | 202 | test | 7b0515b804fd48de9bb453e8d97f0a2e |
Bees fly using the same mechanism as airplanes. | Bees do not follow the same rules as airplanes. | contradiction | 203 | test | fcf7f68bcc974347a1c150ffd6c0b09b |
Bees do not follow the same rules as airplanes. | Bees are more energy-efficient flyers than airplanes. | contradiction | 204 | test | 6058144c6b924d8cb59b5b447419936d |
Bees are more energy-efficient flyers than airplanes. | Bees do not follow the same rules as airplanes. | contradiction | 205 | test | 230392868038451ebfa6aa70c2f9368c |
Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. | Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. | contradiction | 206 | test | 2b4a92ea163449b0b2f1922825d7abb5 |
Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. | Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. | contradiction | 207 | test | ad83c7751f804fd5806d5a48d08a4bce |
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. | contradiction | 208 | test | 38806d6bb3d04c6d9dac4dde7aeda84c |
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. | contradiction | 209 | test | 54e0eae4bca841a6a101f4d810bb9080 |
Bob married Alice. | Bob and Alice got married. | contradiction | 210 | test | 798fe144b0c94bd8bef1622e9bc55eec |
Bob and Alice got married. | Bob married Alice. | contradiction | 211 | test | ae0dde83e87648e5886bc64226739e8d |
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. | contradiction | 212 | test | 54b7bc5d7fec4d02800ed636ffcacef7 |
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. | contradiction | 213 | test | bd672cea332b41bdbe2ddc406002df9e |
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. | contradiction | 214 | test | 95c07644f8094506b23e5ff9f82c9370 |
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. | contradiction | 215 | test | c4dec94daef847e2a997506dc3ce7f9c |
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. | contradiction | 216 | test | 707ba8f19a4a47f7a33f18f11944f6cd |
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. | contradiction | 217 | test | 2110315157db40ccbf1999f2c4d7358a |
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. | contradiction | 218 | test | ac4cb00d1b694a4187504243b1bec46a |
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". | contradiction | 219 | test | c4106e9375fe4a50b01c465d674b0697 |
Jane had a party on Sunday. | On Sunday, Jane had a party. | contradiction | 220 | test | 0c62cd304132483f93754e7f97f6b4f4 |
On Sunday, Jane had a party. | Jane had a party on Sunday. | contradiction | 221 | test | f2ec18e69b2249abbce54b1d2391ecd2 |
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. | contradiction | 222 | test | 2b1f4564cf5f47128051309ee2402f8b |
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. | contradiction | 223 | test | d09f607d8dbd4f6f81e38f23077cae22 |
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. | contradiction | 224 | test | 0032ceeefa36433499a1806c81371d47 |
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. | contradiction | 225 | test | 3aaff68f5ba74eacb79a80c1b99e1ee4 |
Bass River timber was used in construction of the Empire State Building. | In construction of the Empire State Building, Bass River timber was used. | contradiction | 226 | test | 77da8d133b1d47b38679b03934a5583a |
In construction of the Empire State Building, Bass River timber was used. | Bass River timber was used in construction of the Empire State Building. | contradiction | 227 | test | 60b3965b56fb490c93098365990b3e84 |
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. | contradiction | 228 | test | bcbc5552f2c447678532cffe7321c742 |
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. | contradiction | 229 | test | 9e90fb10f8d64f1883767d3236f1e7ff |
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. | contradiction | 230 | test | b3caeb9947894444a6501500ee2ab87f |
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. | contradiction | 231 | test | 381fc75206ec4a75906077da9eca24ae |
I ate pizza with friends. | I ate pizza. | contradiction | 232 | test | b24ad9d2c22c456d84b40460870c59b9 |
I ate pizza. | I ate pizza with friends. | contradiction | 233 | test | 5ceb9466a5f744b4be01fe059d6893c9 |
I ate pizza with some friends. | I ate some friends. | contradiction | 234 | test | 9f1a0071572a49be8c69194e6a6a2d1f |
I ate some friends. | I ate pizza with some friends. | contradiction | 235 | test | 1605a2716343492fb6b447270a1a34b6 |
I ate pizza with olives. | I ate pizza. | contradiction | 236 | test | 088a80fd2c714b29ace2b86b8dd2970f |
I ate pizza. | I ate pizza with olives. | contradiction | 237 | test | 371f0f8077a5422096d058bd82fa3763 |
I ate pizza with olives. | I ate olives. | contradiction | 238 | test | 8f53699b962f4b1c9a7a1560c4acf0b4 |
I ate olives. | I ate pizza with olives. | contradiction | 239 | test | 8d74c240e7c140e898b16c1f04390aaf |
Mueller received a mandate to investigate possible collusion with Russia. | Mueller received a mandate to investigate possible collusion. | contradiction | 240 | test | fd7837a2ed0e41a7b2f2822266a5e653 |
Mueller received a mandate to investigate possible collusion. | Mueller received a mandate to investigate possible collusion with Russia. | contradiction | 241 | test | e591cdc412e24180a28b19ca0cd234f0 |
Mueller received a mandate to investigate possible collusion with Russia. | Mueller received a mandate to investigate with Russia. | contradiction | 242 | test | 30f2a00b08e4431cbdc05a75720286b9 |
Mueller received a mandate to investigate with Russia. | Mueller received a mandate to investigate possible collusion with Russia. | contradiction | 243 | test | 652bc58dc2504fa3b3c36ad5e4d766c8 |
Mueller received a mandate to investigate possible collusion with vast resources. | Mueller received a mandate to investigate possible collusion. | contradiction | 244 | test | 135134d7f58343168a2b3aa080364469 |
Mueller received a mandate to investigate possible collusion. | Mueller received a mandate to investigate possible collusion with vast resources. | contradiction | 245 | test | 5a52516adb4d4dafa93c8ce2d5438256 |
Mueller received a mandate to investigate possible collusion with vast resources. | Mueller received a mandate to investigate with vast resources. | contradiction | 246 | test | 281a88ef25464478840651366ef85c4e |
Mueller received a mandate to investigate with vast resources. | Mueller received a mandate to investigate possible collusion with vast resources. | contradiction | 247 | test | 1ac8f313c16542998409033a9b526a3a |
They should be attached to the lifting mechanism in the faucet. | They should be attached to the lifting mechanism. | contradiction | 248 | test | 6f1a33e0b0314299b859afbf568bcfa3 |
They should be attached to the lifting mechanism. | They should be attached to the lifting mechanism in the faucet. | contradiction | 249 | test | ea0e568df27c42dab78ba4cb76992616 |
They should be attached to the lifting mechanism in the faucet. | They should be attached in the faucet. | contradiction | 250 | test | c4e62ad6c8504f02afe3b980293b0171 |
They should be attached in the faucet. | They should be attached to the lifting mechanism in the faucet. | contradiction | 251 | test | 7fd34c981b574057818953a4799976d6 |
They should be attached to the lifting mechanism in an unbreakable knot. | They should be attached to the lifting mechanism. | contradiction | 252 | test | 63b06be2c12a460da285169aa04a2322 |
They should be attached to the lifting mechanism. | They should be attached to the lifting mechanism in an unbreakable knot. | contradiction | 253 | test | 93d4b0ce6e5e40ccbc7a219204522172 |
They should be attached to the lifting mechanism in an unbreakable knot. | They should be attached in an unbreakable knot. | contradiction | 254 | test | a7bb2adce2ed44cea07f1f4f64188dbc |
They should be attached in an unbreakable knot. | They should be attached to the lifting mechanism in an unbreakable knot. | contradiction | 255 | test | 84ecac5d7d4f4fb7b6c098d2ca5e832a |
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. | contradiction | 256 | test | b57ac629cca04df99ae5fa025305732f |
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. | contradiction | 257 | test | 8e5f43c6c022453c88d236e6d8d6150a |
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. | contradiction | 258 | test | 26fd5d133ea1463dbef6c294e4cf8514 |
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. | contradiction | 259 | test | 899e04658b08494989d78d7a95185849 |
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. | contradiction | 260 | test | fabc3739355b4ccaaf32086b0b075b4f |
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. | contradiction | 261 | test | 5e5bc47425424dd380ee1bcc9937f012 |
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. | contradiction | 262 | test | 47c4c90139d343fab6e096a24f813a80 |
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. | contradiction | 263 | test | a4e70293c37341ee87d9675227757935 |
We propose models of the probability distribution from which the attested vowel inventories have been drawn. | We propose models of the probability distribution. | contradiction | 264 | test | ee5e1363b22249229eb86eeefad111db |
We propose models of the probability distribution. | We propose models of the probability distribution from which the attested vowel inventories have been drawn. | contradiction | 265 | test | cb46f91bb17247c980f27bc3af44aba8 |
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. | contradiction | 266 | test | 4b19b802b22a4a7a96809ad3519168c0 |
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. | contradiction | 267 | test | a70130f630a44c6c8f78bee0d4ec826e |
We propose models of the probability distribution from a restricted space of linear functions. | We propose models of the probability distribution. | contradiction | 268 | test | 87be4ae446c44f37a7a040f9d5babaaa |
We propose models of the probability distribution. | We propose models of the probability distribution from a restricted space of linear functions. | contradiction | 269 | test | bd61d948fb68496aac4ec9f9ee636c40 |
We propose models of the probability distribution from a restricted space of linear functions. | We propose models from a restricted space of linear functions. | contradiction | 270 | test | e040a2f2c7764657af95dd2d882c826c |
We propose models from a restricted space of linear functions. | We propose models of the probability distribution from a restricted space of linear functions. | contradiction | 271 | test | dfe6dbe5f4d849e69240e39574b467ad |
George went to the lake to catch a fish, but he fell into the water. | George fell into the water. | contradiction | 272 | test | 7368c7742fea4464a1bf7ec6435af11b |
George fell into the water. | George went to the lake to catch a fish, but he fell into the water. | contradiction | 273 | test | 0dff8beebaf64856892a632d40f02665 |
George went to the lake to catch a fish, but he fell into the water. | A fish fell into the water. | contradiction | 274 | test | 8dab6ce320874572b41418beb77b7980 |
A fish fell into the water. | George went to the lake to catch a fish, but he fell into the water. | contradiction | 275 | test | 7f1c51ab2a4946a29255db85ce937bcd |
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. | contradiction | 276 | test | 1217ad1c7da74859ad6db865d8dcfa3a |
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. | contradiction | 277 | test | d89f8e1281634600afa19932a695e479 |
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. | contradiction | 278 | test | 45102e573e954e49bd053fad5adfcb76 |
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. | contradiction | 279 | test | 500f6258483e482f974e10c95e4a1988 |
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. | contradiction | 280 | test | 87df15b759fa43e29c9d2dead21861bb |
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. | contradiction | 281 | test | 2a60766b8c4c41a48cb4dbf016b41a33 |
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. | contradiction | 282 | test | d9856450b2944911b5913a5d1e9f4da1 |
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. | contradiction | 283 | test | ef12759c7e154fbe8a7713d3de7573d1 |
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. | contradiction | 284 | test | 563d913f0eb24a129a7bd09e6f81d03e |
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. | contradiction | 285 | test | ecc1dfbd58764aa6a3ac3c114812c3f7 |
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. | contradiction | 286 | test | 7201a7ee34474eaca7eb4d981b61c21a |
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. | contradiction | 287 | test | 058b055c50444c89915bf8b7cd3aa597 |
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. | contradiction | 288 | test | bcdc85f3530a42a3b17b86c333574132 |
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. | contradiction | 289 | test | 171899c9177047bb8b20a05e4547532d |
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. | contradiction | 290 | test | 898759aa1d604567b44b034ccec86bf1 |
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. | contradiction | 291 | test | e93d8bfd0e3344e4bb55298c4288a149 |
The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Sweden. | contradiction | 292 | test | 6a64324ff12442f4a8d1a63012db1bac |
The sides came to an agreement after their meeting in Sweden. | The sides came to an agreement after their meeting in Stockholm. | contradiction | 293 | test | 9b9b3d8406cb402f99001c84d104df90 |
The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Europe. | contradiction | 294 | test | 44233a0c096d4fc988faa9fc065810a0 |
The sides came to an agreement after their meeting in Europe. | The sides came to an agreement after their meeting in Stockholm. | contradiction | 295 | test | 226a518c19964c2084c19edb5954aae1 |
The sides came to an agreement after their meeting in Stockholm. | The sides came to an agreement after their meeting in Oslo. | contradiction | 296 | test | 1c7405daede9468f875f4b42bb31a064 |
The sides came to an agreement after their meeting in Oslo. | The sides came to an agreement after their meeting in Stockholm. | contradiction | 297 | test | 482c2665cfa54550a89aff78f4da8d4f |
Musk decided to offer up his personal Tesla roadster. | Musk decided to offer up his personal car. | contradiction | 298 | test | 5966b5521fd74def9445a4bc66ad101a |
Musk decided to offer up his personal car. | Musk decided to offer up his personal Tesla roadster. | contradiction | 299 | test | b9651e05802546d89b1d11260a735ed5 |