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
|
|---|---|---|---|---|---|
The villain is the character who tends to have a negative effect on other characters. | The villain is the character who tends to have a negative correlation with other characters. | contradiction | 100 | test | 696aed4469d7405286df51008a530c05 |
The villain is the character who tends to have a negative correlation with other characters. | The villain is the character who tends to have a negative effect on other characters. | contradiction | 101 | test | ab519a9fcccf46fbbf573db5130ee75a |
Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. | Semantic parsing typically needs a set of operations to query the knowledge base and process the results. | contradiction | 102 | test | a88dba5c444e44c2b353751f50ec3a7b |
Semantic parsing typically needs a set of operations to query the knowledge base and process the results. | Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. | contradiction | 103 | test | 86ec46aec138489ca22680c4455c9d03 |
Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. | Semantic parsing typically creates a set of operations to query the knowledge base and process the results. | contradiction | 104 | test | 7fdb8d5dc6f7406eb06c9c942c6e9223 |
Semantic parsing typically creates a set of operations to query the knowledge base and process the results. | Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. | contradiction | 105 | test | 4f0f6410199c49d29c1b0be501ff6447 |
Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. | Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results. | contradiction | 106 | test | 29dd7798afaf41e1a5dabb426a7a6b5c |
Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results. | Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. | contradiction | 107 | test | 470d0704e2eb4ab981b88140b3512646 |
John broke the window. | The window was broken by John. | contradiction | 108 | test | 30ddd07a7eef4aad8b074cf117965753 |
The window was broken by John. | John broke the window. | contradiction | 109 | test | 13012268c4e141989895a9c5b4bfc74d |
John broke the window. | The window broke John. | contradiction | 110 | test | b7b28f4221534cd09ec1e5bec997d026 |
The window broke John. | John broke the window. | contradiction | 111 | test | 7e05f4c447a0461b9c01bfe5a92f97b8 |
Mueller’s team asked former senior Justice Department officials for information. | Former senior Justice Department officials were asked for information by Mueller's team. | contradiction | 112 | test | f983af2c30b9442a82c05914a3bd7a39 |
Former senior Justice Department officials were asked for information by Mueller's team. | Mueller’s team asked former senior Justice Department officials for information. | contradiction | 113 | test | f3478eccff2f4504bd3f75c4f77c251a |
Mueller’s team asked former senior Justice Department officials for information. | Mueller’s team was asked for information by former senior Justice Department officials. | contradiction | 114 | test | 31b9a27c63d24baeb5b1412d6e241454 |
Mueller’s team was asked for information by former senior Justice Department officials. | Mueller’s team asked former senior Justice Department officials for information. | contradiction | 115 | test | c760bc0f9a1d4829aba2e119a0481997 |
Mueller’s team asked former senior Justice Department officials for information. | Mueller’s team was asked for information. | contradiction | 116 | test | da9273e0a2e148b49172cef73a75c28b |
Mueller’s team was asked for information. | Mueller’s team asked former senior Justice Department officials for information. | contradiction | 117 | test | 9c3c6a43fa8e4a26b64515166c832a41 |
Mueller’s team asked former senior Justice Department officials for information. | Former senior Justice Department officials weren't asked for information. | contradiction | 118 | test | 81f9a24eea044fe9b41dc2331d2fff4a |
Former senior Justice Department officials weren't asked for information. | Mueller’s team asked former senior Justice Department officials for information. | contradiction | 119 | test | f4618e0a3d75468aafd6fb575f3295b3 |
Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. | Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want. | contradiction | 120 | test | 07fabf27c1e84b489d2bfd96e5cc7af0 |
Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want. | Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. | contradiction | 121 | test | 156dd5483b6f4cb49128d6db28a7a71b |
Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. | Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want. | contradiction | 122 | test | ff08ff1ab67f4e568d34ae27e4215c93 |
Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want. | Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. | contradiction | 123 | test | 624fff281e984330a15c85d309224820 |
Cape sparrows eat seeds, along with soft plant parts and insects. | Seeds, along with soft plant parts and insects, are eaten by cape sparrows. | contradiction | 124 | test | 7a4c034a2a9043b4b88596994034f419 |
Seeds, along with soft plant parts and insects, are eaten by cape sparrows. | Cape sparrows eat seeds, along with soft plant parts and insects. | contradiction | 125 | test | e5977465eace409eb9c658fa01ca4a6a |
Cape sparrows eat seeds, along with soft plant parts and insects. | Cape sparrows are eaten by seeds, along with soft plant parts and insects. | contradiction | 126 | test | 9a87621b5c4c4f4c81da6aa7c58464ad |
Cape sparrows are eaten by seeds, along with soft plant parts and insects. | Cape sparrows eat seeds, along with soft plant parts and insects. | contradiction | 127 | test | 58999f8e676d4e74a28f0b592ea8b035 |
Cape sparrows eat seeds, along with soft plant parts and insects. | Cape sparrows are eaten. | contradiction | 128 | test | 4554764a2e914e2e85e9e656fe947508 |
Cape sparrows are eaten. | Cape sparrows eat seeds, along with soft plant parts and insects. | contradiction | 129 | test | 3d4c80a5da364d8bb2a76651bc5779af |
Cape sparrows eat seeds, along with soft plant parts and insects. | Soft plant parts and insects eat seeds. | contradiction | 130 | test | 52c3ce57906b4fbf9a6a957c02560c40 |
Soft plant parts and insects eat seeds. | Cape sparrows eat seeds, along with soft plant parts and insects. | contradiction | 131 | test | 63f9f1eaf2de4a2cb484671c7cbfc096 |
Cape sparrows eat seeds, along with soft plant parts and insects. | Soft plant parts and insects are eaten. | contradiction | 132 | test | b3c1c51065b24c9c9905de15856d397e |
Soft plant parts and insects are eaten. | Cape sparrows eat seeds, along with soft plant parts and insects. | contradiction | 133 | test | fa3e671136ce477ea444fa162b599226 |
Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems. | contradiction | 134 | test | aa20ed786d884af1bc1314df8a81b83a |
Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems. | Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | contradiction | 135 | test | 8deaedd7231743fa9f82c3d6708bb690 |
Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora. | contradiction | 136 | test | 88b2ca37b04c4b30aacf6ec0e19430d1 |
Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora. | Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | contradiction | 137 | test | dece27085a004b85bda61cd96e0f0261 |
Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora. | contradiction | 138 | test | 769ef725aad54b5e81538775ee1632ef |
Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora. | Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | contradiction | 139 | test | cfbad5bb344241e083c72ea74af01317 |
Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases. | contradiction | 140 | test | 6d38603634de4f55aba38d45da5c4f66 |
Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases. | Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | contradiction | 141 | test | 238e6a1750fa42ad9c0ecaf953d228d4 |
Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | Relation extraction systems populate knowledge bases with assertions from unstructured text corpora. | contradiction | 142 | test | 5f67b65d3c9f477bbe0e36c22baad44f |
Relation extraction systems populate knowledge bases with assertions from unstructured text corpora. | Relation extraction systems populate knowledge bases with facts from unstructured text corpora. | contradiction | 143 | test | 035c2dad7a2e44b5996c377d83f325a3 |
Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. | The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. | contradiction | 144 | test | b596338dc25a43cdb3b6a5be6957a8e9 |
The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. | Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. | contradiction | 145 | test | c5674b4e4497456cac084a27a955b5a2 |
Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. | The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. | contradiction | 146 | test | 32a3825b22fd414ea99ab7eed83b37cd |
The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. | Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. | contradiction | 147 | test | 384ac079d7b1466fb3c03aa137fbb07b |
The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded. | The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded. | contradiction | 148 | test | 1a6714702a3b4165953e962c1845e0f0 |
The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded. | The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded. | contradiction | 149 | test | 1641769932a44e4eaff10f0a8f167374 |
The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. | The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities. | contradiction | 150 | test | 4aa8009cf87d49dba2a1b3d1aad1090c |
The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities. | The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. | contradiction | 151 | test | 9d69dd745c674fa294588cae565785b6 |
The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. | The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities. | contradiction | 152 | test | 1254830bec044a448bc1a6abb6548e3e |
The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities. | The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. | contradiction | 153 | test | 2327735991d949229241511266a3fff4 |
This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. | This paper presents an approach for understanding these message vectors' content by translating them into natural language. | contradiction | 154 | test | 4abfe0ef439f4205ac36b23ced4af1f0 |
This paper presents an approach for understanding these message vectors' content by translating them into natural language. | This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. | contradiction | 155 | test | c07f04329ab1480a9b7410ca3fe1992d |
This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. | This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language. | contradiction | 156 | test | 33573549149d4459ad43ab041eae78aa |
This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language. | This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. | contradiction | 157 | test | 0c524b7fce944e169094ef331bb77b97 |
She is skilled at violin. | She is a skilled violinist. | contradiction | 158 | test | 64a3e11ee82841b5a7e0df6ba7e662ac |
She is a skilled violinist. | She is skilled at violin. | contradiction | 159 | test | fb36fea0c49e4e1c9557331cf9e84cb4 |
She is skilled. | She is a skilled violinist. | contradiction | 160 | test | 477d62db5c52450eae1df48b824efa2a |
She is a skilled violinist. | She is skilled. | contradiction | 161 | test | 84c907d0505745b2ac794cb5ae0894cc |
She is a surgeon and skilled violinist. | She is a skilled surgeon. | contradiction | 162 | test | eda62f27c7a240bc9f0465cb1a90a973 |
She is a skilled surgeon. | She is a surgeon and skilled violinist. | contradiction | 163 | test | a4ba2f84ea6c4c4db8db2ef47bf0a70d |
The combination of mentos and diet coke caused the explosion. | Combining mentos and diet coke caused the explosion. | contradiction | 164 | test | 1c6b77cdbbdf4104b22130dbe7f1b99f |
Combining mentos and diet coke caused the explosion. | The combination of mentos and diet coke caused the explosion. | contradiction | 165 | test | 73d8641df5b2428f82c95976572a4680 |
In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. | In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times. | contradiction | 166 | test | 787afd20442248339ae2090bde1bf0cd |
In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times. | In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. | contradiction | 167 | test | 80a5633ceff84cccb8d0e120bbf52bec |
In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. | In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times. | contradiction | 168 | test | 074b123441464a1294dfcba6bf8039b4 |
In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times. | In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. | contradiction | 169 | test | ece5c3e4a3de46989946ec8e7285564d |
Thought this was super cool, and a really important step in preserving all the physical books. | Thought this was super cool, and a really important step in the preservation of all the physical books. | contradiction | 170 | test | 127bdac9d0cd40c790691581045265f9 |
Thought this was super cool, and a really important step in the preservation of all the physical books. | Thought this was super cool, and a really important step in preserving all the physical books. | contradiction | 171 | test | 8bc035d118ff4f66a923f147ba66c6c7 |
Thought this was super cool, and a really important step in preserving all the physical books. | Thought this was super cool, and a really important step in the destruction of all the physical books. | contradiction | 172 | test | 914fc18677e9453ba724e3eb7ea2f0f9 |
Thought this was super cool, and a really important step in the destruction of all the physical books. | Thought this was super cool, and a really important step in preserving all the physical books. | contradiction | 173 | test | a64bb42f967c4fc79edc3dafab4301c2 |
Thought this was super cool, and a really important step in preserving all the physical books. | Thought this was super cool, and a really important step in the processing of all the physical books. | contradiction | 174 | test | 243ab13436944b67bd2d4f9375e968af |
Thought this was super cool, and a really important step in the processing of all the physical books. | Thought this was super cool, and a really important step in preserving all the physical books. | contradiction | 175 | test | fa4a43d1126a492391e62f9a37f43c3d |
Thought this was super cool, and a really important step in preserving all the physical books. | Thought this was super cool, and a really important step in all the physical books' preservation. | contradiction | 176 | test | 2c769a4ce4294d3391f1eaaeffe99e71 |
Thought this was super cool, and a really important step in all the physical books' preservation. | Thought this was super cool, and a really important step in preserving all the physical books. | contradiction | 177 | test | e229d77cffe446b0bb3ed3917111eb6a |
During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. | During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941. | contradiction | 178 | test | be31c0a67450430ca52ea88794e196b4 |
During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941. | During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. | contradiction | 179 | test | 0884a4bb5f684ccdb0de4edd38181839 |
During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. | During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941. | contradiction | 180 | test | f4080e106f774200a816cba65e6fcc36 |
During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941. | During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. | contradiction | 181 | test | a023326f97b14239a73a689302cb5967 |
Often, the first step in building statistical NLP models involves feature extraction. | Often, the first step in building statistical NLP models involves extracting features. | contradiction | 182 | test | ef76b578b0824b79a16d96de2ed5e993 |
Often, the first step in building statistical NLP models involves extracting features. | Often, the first step in building statistical NLP models involves feature extraction. | contradiction | 183 | test | c4e487c1b3cb4fbfa5fa9f05728cc473 |
Bob likes Alice. | Alice likes Bob. | contradiction | 184 | test | 46f27b4549924ed88cc1ea98ebee50a3 |
Alice likes Bob. | Bob likes Alice. | contradiction | 185 | test | 1aeec110701c47f8ab0f01037c57d575 |
Bob is Alice's parent. | Alice is Bob's parent. | contradiction | 186 | test | 519f281169334d85bbb84f001a39bcf5 |
Alice is Bob's parent. | Bob is Alice's parent. | contradiction | 187 | test | a4e137a37f3a463fad3cc34ebe5ae278 |
President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. | Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. | contradiction | 188 | test | ab5ad5df8c9343028aaa723ebff8d770 |
Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. | President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. | contradiction | 189 | test | 4862d9680b3b4188aaddaaa1be73b29c |
Mythbusters proved that bulls react to movement and not color. | Bulls proved that mythbusters react to movement and not color. | contradiction | 190 | test | f775a86406ee4d1793f0597e9b12b215 |
Bulls proved that mythbusters react to movement and not color. | Mythbusters proved that bulls react to movement and not color. | contradiction | 191 | test | d0e44f2ecb124a49b477ac29b3d649f9 |
The models generate translations with their constituency tree and their attention-derived alignments. | The translations generate models with their constituency tree and their attention-derived alignments. | contradiction | 192 | test | 8073422d414240fa8d65aaec227a4802 |
The translations generate models with their constituency tree and their attention-derived alignments. | The models generate translations with their constituency tree and their attention-derived alignments. | contradiction | 193 | test | 6f28bfadbb18432a80bc8cd71204437c |
Bob married Alice. | Alice married Bob. | contradiction | 194 | test | 47db248c82004fbbb16bfc2ee862a4e9 |
Alice married Bob. | Bob married Alice. | contradiction | 195 | test | fe0ece39f75a4ad18f41ada1919032fb |
The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions. | Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions. | contradiction | 196 | test | 6c0efe139f9f4b55b193de13aef2fbe9 |
Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions. | The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions. | contradiction | 197 | test | fd9cb2f765024106a4cda621f4db5153 |
Bees do not follow the same rules as airplanes. | Airplanes do not follow the same rules as bees. | contradiction | 198 | test | 1a474fa0313b4034a40df4beb32b2d35 |
Airplanes do not follow the same rules as bees. | Bees do not follow the same rules as airplanes. | contradiction | 199 | test | 896bea9cd5554c0598c32f9024be4f25 |