sentence1
stringlengths 11
296
| sentence2
stringlengths 11
296
| idx
int32 0
1.1k
| label
class label 2
classes |
|---|---|---|---|
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.
| 100
| 1not_entailment
|
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.
| 101
| 1not_entailment
|
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.
| 102
| 0entailment
|
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.
| 103
| 0entailment
|
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.
| 104
| 1not_entailment
|
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.
| 105
| 1not_entailment
|
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.
| 106
| 1not_entailment
|
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.
| 107
| 1not_entailment
|
John broke the window.
|
The window was broken by John.
| 108
| 0entailment
|
The window was broken by John.
|
John broke the window.
| 109
| 0entailment
|
John broke the window.
|
The window broke John.
| 110
| 1not_entailment
|
The window broke John.
|
John broke the window.
| 111
| 1not_entailment
|
Mueller’s team asked former senior Justice Department officials for information.
|
Former senior Justice Department officials were asked for information by Mueller's team.
| 112
| 0entailment
|
Former senior Justice Department officials were asked for information by Mueller's team.
|
Mueller’s team asked former senior Justice Department officials for information.
| 113
| 0entailment
|
Mueller’s team asked former senior Justice Department officials for information.
|
Mueller’s team was asked for information by former senior Justice Department officials.
| 114
| 1not_entailment
|
Mueller’s team was asked for information by former senior Justice Department officials.
|
Mueller’s team asked former senior Justice Department officials for information.
| 115
| 1not_entailment
|
Mueller’s team asked former senior Justice Department officials for information.
|
Mueller’s team was asked for information.
| 116
| 1not_entailment
|
Mueller’s team was asked for information.
|
Mueller’s team asked former senior Justice Department officials for information.
| 117
| 1not_entailment
|
Mueller’s team asked former senior Justice Department officials for information.
|
Former senior Justice Department officials weren't asked for information.
| 118
| 1not_entailment
|
Former senior Justice Department officials weren't asked for information.
|
Mueller’s team asked former senior Justice Department officials for information.
| 119
| 1not_entailment
|
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.
| 120
| 0entailment
|
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.
| 121
| 0entailment
|
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.
| 122
| 1not_entailment
|
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.
| 123
| 1not_entailment
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Seeds, along with soft plant parts and insects, are eaten by cape sparrows.
| 124
| 0entailment
|
Seeds, along with soft plant parts and insects, are eaten by cape sparrows.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| 125
| 0entailment
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Cape sparrows are eaten by seeds, along with soft plant parts and insects.
| 126
| 1not_entailment
|
Cape sparrows are eaten by seeds, along with soft plant parts and insects.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| 127
| 1not_entailment
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Cape sparrows are eaten.
| 128
| 1not_entailment
|
Cape sparrows are eaten.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| 129
| 1not_entailment
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Soft plant parts and insects eat seeds.
| 130
| 1not_entailment
|
Soft plant parts and insects eat seeds.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| 131
| 1not_entailment
|
Cape sparrows eat seeds, along with soft plant parts and insects.
|
Soft plant parts and insects are eaten.
| 132
| 0entailment
|
Soft plant parts and insects are eaten.
|
Cape sparrows eat seeds, along with soft plant parts and insects.
| 133
| 1not_entailment
|
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.
| 134
| 0entailment
|
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.
| 135
| 0entailment
|
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.
| 136
| 0entailment
|
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.
| 137
| 0entailment
|
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.
| 138
| 1not_entailment
|
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.
| 139
| 1not_entailment
|
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.
| 140
| 1not_entailment
|
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.
| 141
| 1not_entailment
|
Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
|
Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.
| 142
| 0entailment
|
Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.
|
Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
| 143
| 0entailment
|
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.
| 144
| 0entailment
|
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.
| 145
| 0entailment
|
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.
| 146
| 1not_entailment
|
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.
| 147
| 1not_entailment
|
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.
| 148
| 0entailment
|
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.
| 149
| 0entailment
|
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.
| 150
| 0entailment
|
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.
| 151
| 0entailment
|
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.
| 152
| 1not_entailment
|
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.
| 153
| 1not_entailment
|
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.
| 154
| 0entailment
|
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.
| 155
| 0entailment
|
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.
| 156
| 1not_entailment
|
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.
| 157
| 1not_entailment
|
She is skilled at violin.
|
She is a skilled violinist.
| 158
| 0entailment
|
She is a skilled violinist.
|
She is skilled at violin.
| 159
| 0entailment
|
She is skilled.
|
She is a skilled violinist.
| 160
| 1not_entailment
|
She is a skilled violinist.
|
She is skilled.
| 161
| 0entailment
|
She is a surgeon and skilled violinist.
|
She is a skilled surgeon.
| 162
| 1not_entailment
|
She is a skilled surgeon.
|
She is a surgeon and skilled violinist.
| 163
| 1not_entailment
|
The combination of mentos and diet coke caused the explosion.
|
Combining mentos and diet coke caused the explosion.
| 164
| 0entailment
|
Combining mentos and diet coke caused the explosion.
|
The combination of mentos and diet coke caused the explosion.
| 165
| 0entailment
|
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.
| 166
| 0entailment
|
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.
| 167
| 0entailment
|
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.
| 168
| 1not_entailment
|
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.
| 169
| 1not_entailment
|
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.
| 170
| 0entailment
|
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.
| 171
| 0entailment
|
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.
| 172
| 1not_entailment
|
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.
| 173
| 1not_entailment
|
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.
| 174
| 1not_entailment
|
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.
| 175
| 1not_entailment
|
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.
| 176
| 0entailment
|
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.
| 177
| 0entailment
|
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.
| 178
| 0entailment
|
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.
| 179
| 0entailment
|
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.
| 180
| 1not_entailment
|
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.
| 181
| 1not_entailment
|
Often, the first step in building statistical NLP models involves feature extraction.
|
Often, the first step in building statistical NLP models involves extracting features.
| 182
| 0entailment
|
Often, the first step in building statistical NLP models involves extracting features.
|
Often, the first step in building statistical NLP models involves feature extraction.
| 183
| 0entailment
|
Bob likes Alice.
|
Alice likes Bob.
| 184
| 1not_entailment
|
Alice likes Bob.
|
Bob likes Alice.
| 185
| 1not_entailment
|
Bob is Alice's parent.
|
Alice is Bob's parent.
| 186
| 1not_entailment
|
Alice is Bob's parent.
|
Bob is Alice's parent.
| 187
| 1not_entailment
|
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.
| 188
| 1not_entailment
|
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.
| 189
| 1not_entailment
|
Mythbusters proved that bulls react to movement and not color.
|
Bulls proved that mythbusters react to movement and not color.
| 190
| 1not_entailment
|
Bulls proved that mythbusters react to movement and not color.
|
Mythbusters proved that bulls react to movement and not color.
| 191
| 1not_entailment
|
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.
| 192
| 1not_entailment
|
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.
| 193
| 1not_entailment
|
Bob married Alice.
|
Alice married Bob.
| 194
| 0entailment
|
Alice married Bob.
|
Bob married Alice.
| 195
| 0entailment
|
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.
| 196
| 0entailment
|
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.
| 197
| 0entailment
|
Bees do not follow the same rules as airplanes.
|
Airplanes do not follow the same rules as bees.
| 198
| 0entailment
|
Airplanes do not follow the same rules as bees.
|
Bees do not follow the same rules as airplanes.
| 199
| 0entailment
|
Subsets and Splits
Non-Entailment Examples Sampled
Retrieves 60 random pairs of sentences that are not entailed, providing basic filtering of the dataset.