premise
stringlengths 11
296
| hypothesis
stringlengths 11
296
| label
class label 0
classes | idx
int32 0
1.1k
|
|---|---|---|---|
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.
| -1no label
| 100
|
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.
| -1no label
| 101
|
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.
| -1no label
| 102
|
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.
| -1no label
| 103
|
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.
| -1no label
| 104
|
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.
| -1no label
| 105
|
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.
| -1no label
| 106
|
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.
| -1no label
| 107
|
John broke the window.
|
The window was broken by John.
| -1no label
| 108
|
The window was broken by John.
|
John broke the window.
| -1no label
| 109
|
John broke the window.
|
The window broke John.
| -1no label
| 110
|
The window broke John.
|
John broke the window.
| -1no label
| 111
|
Mueller’s team asked former senior Justice Department officials for information.
|
Former senior Justice Department officials were asked for information by Mueller's team.
| -1no label
| 112
|
Former senior Justice Department officials were asked for information by Mueller's team.
|
Mueller’s team asked former senior Justice Department officials for information.
| -1no label
| 113
|
Mueller’s team asked former senior Justice Department officials for information.
|
Mueller’s team was asked for information by former senior Justice Department officials.
| -1no label
| 114
|
Mueller’s team was asked for information by former senior Justice Department officials.
|
Mueller’s team asked former senior Justice Department officials for information.
| -1no label
| 115
|
Mueller’s team asked former senior Justice Department officials for information.
|
Mueller’s team was asked for information.
| -1no label
| 116
|
Mueller’s team was asked for information.
|
Mueller’s team asked former senior Justice Department officials for information.
| -1no label
| 117
|
Mueller’s team asked former senior Justice Department officials for information.
|
Former senior Justice Department officials weren't asked for information.
| -1no label
| 118
|
Former senior Justice Department officials weren't asked for information.
|
Mueller’s team asked former senior Justice Department officials for information.
| -1no label
| 119
|
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.
| -1no label
| 120
|
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.
| -1no label
| 121
|
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.
| -1no label
| 122
|
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.
| -1no label
| 123
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Seeds, along with soft plant parts and insects, are eaten by cape sparrows.
| -1no label
| 124
|
Seeds, along with soft plant parts and insects, are eaten by cape sparrows.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| -1no label
| 125
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Cape sparrows are eaten by seeds, along with soft plant parts and insects.
| -1no label
| 126
|
Cape sparrows are eaten by seeds, along with soft plant parts and insects.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| -1no label
| 127
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Cape sparrows are eaten.
| -1no label
| 128
|
Cape sparrows are eaten.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| -1no label
| 129
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Soft plant parts and insects eat seeds.
| -1no label
| 130
|
Soft plant parts and insects eat seeds.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| -1no label
| 131
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Soft plant parts and insects are eaten.
| -1no label
| 132
|
Soft plant parts and insects are eaten.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| -1no label
| 133
|
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.
| -1no label
| 134
|
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.
| -1no label
| 135
|
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.
| -1no label
| 136
|
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.
| -1no label
| 137
|
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.
| -1no label
| 138
|
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.
| -1no label
| 139
|
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.
| -1no label
| 140
|
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.
| -1no label
| 141
|
Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
|
Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.
| -1no label
| 142
|
Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.
|
Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
| -1no label
| 143
|
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.
| -1no label
| 144
|
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.
| -1no label
| 145
|
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.
| -1no label
| 146
|
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.
| -1no label
| 147
|
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.
| -1no label
| 148
|
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.
| -1no label
| 149
|
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.
| -1no label
| 150
|
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.
| -1no label
| 151
|
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.
| -1no label
| 152
|
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.
| -1no label
| 153
|
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.
| -1no label
| 154
|
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.
| -1no label
| 155
|
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.
| -1no label
| 156
|
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.
| -1no label
| 157
|
She is skilled at violin.
|
She is a skilled violinist.
| -1no label
| 158
|
She is a skilled violinist.
|
She is skilled at violin.
| -1no label
| 159
|
She is skilled.
|
She is a skilled violinist.
| -1no label
| 160
|
She is a skilled violinist.
|
She is skilled.
| -1no label
| 161
|
She is a surgeon and skilled violinist.
|
She is a skilled surgeon.
| -1no label
| 162
|
She is a skilled surgeon.
|
She is a surgeon and skilled violinist.
| -1no label
| 163
|
The combination of mentos and diet coke caused the explosion.
|
Combining mentos and diet coke caused the explosion.
| -1no label
| 164
|
Combining mentos and diet coke caused the explosion.
|
The combination of mentos and diet coke caused the explosion.
| -1no label
| 165
|
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.
| -1no label
| 166
|
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.
| -1no label
| 167
|
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.
| -1no label
| 168
|
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.
| -1no label
| 169
|
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.
| -1no label
| 170
|
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.
| -1no label
| 171
|
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.
| -1no label
| 172
|
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.
| -1no label
| 173
|
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.
| -1no label
| 174
|
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.
| -1no label
| 175
|
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.
| -1no label
| 176
|
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.
| -1no label
| 177
|
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.
| -1no label
| 178
|
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.
| -1no label
| 179
|
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.
| -1no label
| 180
|
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.
| -1no label
| 181
|
Often, the first step in building statistical NLP models involves feature extraction.
|
Often, the first step in building statistical NLP models involves extracting features.
| -1no label
| 182
|
Often, the first step in building statistical NLP models involves extracting features.
|
Often, the first step in building statistical NLP models involves feature extraction.
| -1no label
| 183
|
Bob likes Alice.
|
Alice likes Bob.
| -1no label
| 184
|
Alice likes Bob.
|
Bob likes Alice.
| -1no label
| 185
|
Bob is Alice's parent.
|
Alice is Bob's parent.
| -1no label
| 186
|
Alice is Bob's parent.
|
Bob is Alice's parent.
| -1no label
| 187
|
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.
| -1no label
| 188
|
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.
| -1no label
| 189
|
Mythbusters proved that bulls react to movement and not color.
|
Bulls proved that mythbusters react to movement and not color.
| -1no label
| 190
|
Bulls proved that mythbusters react to movement and not color.
|
Mythbusters proved that bulls react to movement and not color.
| -1no label
| 191
|
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.
| -1no label
| 192
|
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.
| -1no label
| 193
|
Bob married Alice.
|
Alice married Bob.
| -1no label
| 194
|
Alice married Bob.
|
Bob married Alice.
| -1no label
| 195
|
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.
| -1no label
| 196
|
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.
| -1no label
| 197
|
Bees do not follow the same rules as airplanes.
|
Airplanes do not follow the same rules as bees.
| -1no label
| 198
|
Airplanes do not follow the same rules as bees.
|
Bees do not follow the same rules as airplanes.
| -1no label
| 199
|
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