sentence1
stringlengths 11
296
| sentence2
stringlengths 11
296
| idx
int32 0
1.1k
| label
class label 2
classes |
|---|---|---|---|
Musk decided to offer up his personal Tesla roadster.
|
Musk decided to offer up his personal yacht.
| 300 | 1not_entailment
|
Musk decided to offer up his personal yacht.
|
Musk decided to offer up his personal Tesla roadster.
| 301 | 1not_entailment
|
TIL David Attenborough and Queen Elizabeth II are roughly the same age.
|
TIL David Attenborough and the Queen of England are roughly the same age.
| 302 | 0entailment
|
TIL David Attenborough and the Queen of England are roughly the same age.
|
TIL David Attenborough and Queen Elizabeth II are roughly the same age.
| 303 | 0entailment
|
TIL David Attenborough and Queen Elizabeth II are roughly the same age.
|
TIL David Attenborough and the Queen of Denmark are roughly the same age.
| 304 | 1not_entailment
|
TIL David Attenborough and the Queen of Denmark are roughly the same age.
|
TIL David Attenborough and Queen Elizabeth II are roughly the same age.
| 305 | 1not_entailment
|
The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.
|
The Sydney area has been inhabited by Aboriginal people for at least 30,000 years.
| 306 | 0entailment
|
The Sydney area has been inhabited by Aboriginal people for at least 30,000 years.
|
The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.
| 307 | 0entailment
|
The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.
|
The Sydney area has been inhabited by Europeans for at least 30,000 years.
| 308 | 1not_entailment
|
The Sydney area has been inhabited by Europeans for at least 30,000 years.
|
The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.
| 309 | 1not_entailment
|
Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.
|
Deep learning has achieved impressive performance in supervised classification and structured prediction tasks.
| 310 | 0entailment
|
Deep learning has achieved impressive performance in supervised classification and structured prediction tasks.
|
Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.
| 311 | 0entailment
|
Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.
|
Decision trees have achieved impressive performance in supervised classification and structured prediction tasks.
| 312 | 1not_entailment
|
Decision trees have achieved impressive performance in supervised classification and structured prediction tasks.
|
Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.
| 313 | 1not_entailment
|
Dave jumped into the lake.
|
Dave was wet.
| 314 | 0entailment
|
Dave was wet.
|
Dave jumped into the lake.
| 315 | 1not_entailment
|
Dave jumped into the lake.
|
Dave was hungry.
| 316 | 1not_entailment
|
Dave was hungry.
|
Dave jumped into the lake.
| 317 | 1not_entailment
|
Even if the Senate is able to pass a bill, it’s far from certain that the House will move ahead with it.
|
The House might kill the bill anyway.
| 318 | 0entailment
|
The House might kill the bill anyway.
|
Even if the Senate is able to pass a bill, it’s far from certain that the House will move ahead with it.
| 319 | 1not_entailment
|
Even if the Senate is able to pass a bill, it’s far from certain that the House will move ahead with it.
|
The House will pass the bill.
| 320 | 1not_entailment
|
The House will pass the bill.
|
Even if the Senate is able to pass a bill, it’s far from certain that the House will move ahead with it.
| 321 | 1not_entailment
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
|
Notorious B.I.G. passed away.
| 322 | 0entailment
|
Notorious B.I.G. passed away.
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
| 323 | 1not_entailment
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
|
Notorious B.I.G. hosted his funeral.
| 324 | 1not_entailment
|
Notorious B.I.G. hosted his funeral.
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
| 325 | 1not_entailment
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, there was a somber atmosphere part of the time.
| 326 | 0entailment
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, there was a somber atmosphere part of the time.
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
| 327 | 1not_entailment
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
|
Notorious B.I.G.'s funeral procession was attended by the general public.
| 328 | 0entailment
|
Notorious B.I.G.'s funeral procession was attended by the general public.
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
| 329 | 1not_entailment
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
|
Only members of the public attended B.I.G.'s funeral procession was restricted to an exclusive club of associates.
| 330 | 1not_entailment
|
Only members of the public attended B.I.G.'s funeral procession was restricted to an exclusive club of associates.
|
During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing "Hyponotize" at full volume, which prompted the public to dance and sing along.
| 331 | 1not_entailment
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
|
Poor Irish people could not get food because it was too expensive.
| 332 | 0entailment
|
Poor Irish people could not get food because it was too expensive.
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
| 333 | 1not_entailment
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
|
The poor in Ireland starved.
| 334 | 0entailment
|
The poor in Ireland starved.
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
| 335 | 1not_entailment
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
|
The poor in Ireland had plentiful food.
| 336 | 1not_entailment
|
The poor in Ireland had plentiful food.
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
| 337 | 1not_entailment
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
|
The problem in Ireland was the price of food.
| 338 | 0entailment
|
The problem in Ireland was the price of food.
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
| 339 | 1not_entailment
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
|
The problem in Ireland was lack of food.
| 340 | 1not_entailment
|
The problem in Ireland was lack of food.
|
The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.
| 341 | 1not_entailment
|
This dataset is two orders of magnitude larger than all other existing resources.
|
Every other existing resource is smaller than this dataset.
| 342 | 0entailment
|
Every other existing resource is smaller than this dataset.
|
This dataset is two orders of magnitude larger than all other existing resources.
| 343 | 1not_entailment
|
This dataset is two orders of magnitude larger than all other existing resources.
|
This dataset is very big.
| 344 | 0entailment
|
This dataset is very big.
|
This dataset is two orders of magnitude larger than all other existing resources.
| 345 | 1not_entailment
|
I have failed my resolutions every year since 1997, and it's now 2008.
|
I failed my resolutions in 2004.
| 346 | 0entailment
|
I failed my resolutions in 2004.
|
I have failed my resolutions every year since 1997, and it's now 2008.
| 347 | 1not_entailment
|
I have failed my resolutions every year since 1997, and it's now 2008.
|
I failed my resolutions in 1995.
| 348 | 1not_entailment
|
I failed my resolutions in 1995.
|
I have failed my resolutions every year since 1997, and it's now 2008.
| 349 | 1not_entailment
|
I have failed my resolutions every year since 1997, and it's now 2008.
|
I did not fail my resolutions in 2004.
| 350 | 1not_entailment
|
I did not fail my resolutions in 2004.
|
I have failed my resolutions every year since 1997, and it's now 2008.
| 351 | 1not_entailment
|
I have failed my resolutions every year since 1997, and it's now 2008.
|
I did not fail my resolutions in 1995.
| 352 | 1not_entailment
|
I did not fail my resolutions in 1995.
|
I have failed my resolutions every year since 1997, and it's now 2008.
| 353 | 1not_entailment
|
Both doctor and patient bear some responsibility for successful care.
|
The doctor bears some responsibility for successful care.
| 354 | 0entailment
|
The doctor bears some responsibility for successful care.
|
Both doctor and patient bear some responsibility for successful care.
| 355 | 1not_entailment
|
Both doctor and patient bear some responsibility for successful care.
|
The doctor does not bear responsibility for successful care.
| 356 | 1not_entailment
|
The doctor does not bear responsibility for successful care.
|
Both doctor and patient bear some responsibility for successful care.
| 357 | 1not_entailment
|
Both doctor and patient bear some responsibility for successful care.
|
The patient bears some responsibility for successful care.
| 358 | 0entailment
|
The patient bears some responsibility for successful care.
|
Both doctor and patient bear some responsibility for successful care.
| 359 | 1not_entailment
|
Both doctor and patient bear some responsibility for successful care.
|
The patient does not bear responsibility for successful care.
| 360 | 1not_entailment
|
The patient does not bear responsibility for successful care.
|
Both doctor and patient bear some responsibility for successful care.
| 361 | 1not_entailment
|
Both doctor and patient bear some responsibility for successful care.
|
The attorney bears some responsibility for successful care.
| 362 | 1not_entailment
|
The attorney bears some responsibility for successful care.
|
Both doctor and patient bear some responsibility for successful care.
| 363 | 1not_entailment
|
Both doctor and patient bear some responsibility for successful care.
|
The attorney does not bear responsibility for successful care.
| 364 | 1not_entailment
|
The attorney does not bear responsibility for successful care.
|
Both doctor and patient bear some responsibility for successful care.
| 365 | 1not_entailment
|
Either he has a blind trust or he has a conflict of interest.
|
He has a conflict of interest.
| 366 | 1not_entailment
|
He has a conflict of interest.
|
Either he has a blind trust or he has a conflict of interest.
| 367 | 0entailment
|
Either he has a blind trust or he has a conflict of interest.
|
He does not have a conflict of interest.
| 368 | 1not_entailment
|
He does not have a conflict of interest.
|
Either he has a blind trust or he has a conflict of interest.
| 369 | 1not_entailment
|
Either he has a blind trust or he has a conflict of interest.
|
He has a blind trust.
| 370 | 1not_entailment
|
He has a blind trust.
|
Either he has a blind trust or he has a conflict of interest.
| 371 | 0entailment
|
Either he has a blind trust or he has a conflict of interest.
|
He does not have a blind trust.
| 372 | 1not_entailment
|
He does not have a blind trust.
|
Either he has a blind trust or he has a conflict of interest.
| 373 | 0entailment
|
Everyone has a set of principles to live by.
|
Someone has a set of principles to live by.
| 374 | 0entailment
|
Someone has a set of principles to live by.
|
Everyone has a set of principles to live by.
| 375 | 1not_entailment
|
Everyone has a set of principles to live by.
|
No one has a set of principles to live by.
| 376 | 1not_entailment
|
No one has a set of principles to live by.
|
Everyone has a set of principles to live by.
| 377 | 1not_entailment
|
Everyone has a set of principles to live by.
|
Susan doesn't have a set of principles to live by.
| 378 | 1not_entailment
|
Susan doesn't have a set of principles to live by.
|
Everyone has a set of principles to live by.
| 379 | 1not_entailment
|
Susan knows how turtles reproduce.
|
Someone knows how turtles reproduce.
| 380 | 0entailment
|
Someone knows how turtles reproduce.
|
Susan knows how turtles reproduce.
| 381 | 1not_entailment
|
Susan knows how turtles reproduce.
|
No one knows how turtles reproduce.
| 382 | 1not_entailment
|
No one knows how turtles reproduce.
|
Susan knows how turtles reproduce.
| 383 | 1not_entailment
|
Susan knows how turtles reproduce.
|
Cedric doesn't know how turtles reproduce.
| 384 | 1not_entailment
|
Cedric doesn't know how turtles reproduce.
|
Susan knows how turtles reproduce.
| 385 | 1not_entailment
|
Either there is no bathroom in this house, or it is in a funny place.
|
If there is a bathroom in this house, it is in a funny place.
| 386 | 0entailment
|
If there is a bathroom in this house, it is in a funny place.
|
Either there is no bathroom in this house, or it is in a funny place.
| 387 | 0entailment
|
Either there is no bathroom in this house, or it is in a funny place.
|
The bathroom in this house is in a funny place.
| 388 | 1not_entailment
|
The bathroom in this house is in a funny place.
|
Either there is no bathroom in this house, or it is in a funny place.
| 389 | 0entailment
|
Joan believes that all speech is political speech.
|
All speech is political speech.
| 390 | 1not_entailment
|
All speech is political speech.
|
Joan believes that all speech is political speech.
| 391 | 1not_entailment
|
Joan doubts that all speech is political speech.
|
All speech is political speech.
| 392 | 1not_entailment
|
All speech is political speech.
|
Joan doubts that all speech is political speech.
| 393 | 1not_entailment
|
Joan knows that all speech is political speech.
|
All speech is political speech.
| 394 | 0entailment
|
All speech is political speech.
|
Joan knows that all speech is political speech.
| 395 | 1not_entailment
|
Joan knows that all speech is political speech.
|
No speech is political speech.
| 396 | 1not_entailment
|
No speech is political speech.
|
Joan knows that all speech is political speech.
| 397 | 1not_entailment
|
Grisham hoped to win the popular vote.
|
Grisham won the popular vote.
| 398 | 1not_entailment
|
Grisham won the popular vote.
|
Grisham hoped to win the popular vote.
| 399 | 1not_entailment
|
Subsets and Splits
Non-Entailment Examples Sampled
Retrieves 60 random pairs of sentences that are not entailed, providing basic filtering of the dataset.