uid
stringlengths 4
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| premise
stringlengths 19
9.21k
| hypothesis
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|---|---|---|---|
id_5300 | Some apartments are flats. Some flats are buildings. All buildings are bungalows. All bungalows are gardens. | No flat is garden. | contradiction |
id_5301 | Some apartments are flats. Some flats are buildings. All buildings are bungalows. All bungalows are gardens. | All apartments being building is a possibility | entailment |
id_5302 | Some apartments are flats. Some flats are buildings. All buildings are bungalows. All bungalows are gardens. | All bungalows are not buildings. | contradiction |
id_5303 | Some apples are flowers. No flower is a papaya. All papayas are baskets. | Some flowers are apples. | entailment |
id_5304 | Some apples are flowers. No flower is a papaya. All papayas are baskets. | Some baskets are papayas. | entailment |
id_5305 | Some apples are flowers. No flower is a papaya. All papayas are baskets. | Some apples are baskets. | contradiction |
id_5306 | Some apples are flowers. No flower is a papaya. All papayas are baskets. | Some baskets are apples. | contradiction |
id_5307 | Some apples are fruit. Some fruits are sour. | Some apples are sour. | neutral |
id_5308 | Some apples are fruit. Some fruits are sour. | Some sours are fruit. | neutral |
id_5309 | Some apples are fruits. All vegetables are fruits. All fruits are vegetables. | All vegetables are fruits. | entailment |
id_5310 | Some apples are fruits. All vegetables are fruits. All fruits are vegetables. | All fruits are apples. | contradiction |
id_5311 | Some apples are fruits. All vegetables are fruits. All fruits are vegetables. | All vegetables are apples. | contradiction |
id_5312 | Some apples are fruits. All vegetables are fruits. All fruits are vegetables. | Some apples are vegetables. | entailment |
id_5313 | Some bats are rackets. Some rackets are bats. Some bats are balls. | No racket is ball. | contradiction |
id_5314 | Some bats are rackets. Some rackets are bats. Some bats are balls. | No bat is ball. | entailment |
id_5315 | Some bats are rackets. Some rackets are bats. Some bats are balls. | Some balls are not bats. | contradiction |
id_5316 | Some bats are rackets. Some rackets are bats. Some bats are balls. | Some balls are bats. | entailment |
id_5317 | Some benches are windows. Some windows are walls. Some walls are trains. | No train is bench. | contradiction |
id_5318 | Some benches are windows. Some windows are walls. Some walls are trains. | "Some trains are benches. " | contradiction |
id_5319 | Some books are flowers. Some flowers are chains. Some chains are hammers. | Some chairs are books. | contradiction |
id_5320 | Some books are flowers. Some flowers are chains. Some chains are hammers. | Some hammers are flowers. | contradiction |
id_5321 | Some books are flowers. Some flowers are chains. Some chains are hammers. | Some hammers are books | contradiction |
id_5322 | Some boys are rains. All rains are clouds. Some clouds are cars. | Some rains are boys. | entailment |
id_5323 | Some boys are rains. All rains are clouds. Some clouds are cars. | Some cars are rains. | entailment |
id_5324 | Some boys are rains. All rains are clouds. Some clouds are cars. | Some cars are boys. | entailment |
id_5325 | Some boys are rains. All rains are clouds. Some clouds are cars. | Some clouds are boys. | entailment |
id_5326 | Some cakes are bikes. Some bikes are hills. All laptops are bikes. | Some laptops are not cakes. | neutral |
id_5327 | Some cakes are bikes. Some bikes are hills. All laptops are bikes. | Some laptops are cakes. | neutral |
id_5328 | Some cakes are bikes. Some bikes are hills. All laptops are bikes. | All laptops are hills. | contradiction |
id_5329 | Some cakes are bikes. Some bikes are hills. All laptops are bikes. | Some cakes are hills. | contradiction |
id_5330 | Some carrots are brinjals. Some brinjals are apples. All apples are bananas. | Some apples are carrots. | contradiction |
id_5331 | Some carrots are brinjals. Some brinjals are apples. All apples are bananas. | Some bananas are brinjals. | entailment |
id_5332 | Some carrots are brinjals. Some brinjals are apples. All apples are bananas. | Some bananas are carrots | contradiction |
id_5333 | Some cars are four wheelers. All four wheelers are vehicles. Some vehicles are SUVs. | Some vehicles are cars. | entailment |
id_5334 | Some cars are four wheelers. All four wheelers are vehicles. Some vehicles are SUVs. | Some SUVs are four wheelers. | contradiction |
id_5335 | Some cars are four wheelers. All four wheelers are vehicles. Some vehicles are SUVs. | Some vehicles are four wheelers. | entailment |
id_5336 | Some cars are four wheelers. All four wheelers are vehicles. Some vehicles are SUVs. | Some SUVs are cars. | contradiction |
id_5337 | Some cars are horses. All horses are guns. All guns are cows. | Some cars are guns. | entailment |
id_5338 | Some cars are horses. All horses are guns. All guns are cows. | Some cows are cars. | entailment |
id_5339 | Some cars are horses. All horses are guns. All guns are cows. | Some cows are horses. | entailment |
id_5340 | Some cars are horses. All horses are guns. All guns are cows. | Some cows are guns. | entailment |
id_5341 | Some cars are vehicles. Some vehicles are machines. Some machines are mechanics. | Some machines are cars. | contradiction |
id_5342 | Some cars are vehicles. Some vehicles are machines. Some machines are mechanics. | Some vehicles are cars. | contradiction |
id_5343 | Some cars are vehicles. Some vehicles are machines. Some machines are mechanics. | Some mechanics are machines. | contradiction |
id_5344 | Some cats are animals. Some animals are mammals. Some mammals are earthlings. | Some earthlings are animals. | contradiction |
id_5345 | Some cats are animals. Some animals are mammals. Some mammals are earthlings. | Some mammals are cats. | contradiction |
id_5346 | Some cats are animals. Some animals are mammals. Some mammals are earthlings. | Some earthlings are cats. | contradiction |
id_5347 | Some cats are animals. Some animals are mammals. Some mammals are earthlings. | Some cats are earthlings. | contradiction |
id_5348 | Some cats are elephants. No elephant is river. All rivers are roads. | Some roads are rivers. | entailment |
id_5349 | Some cats are elephants. No elephant is river. All rivers are roads. | Some elephants are cat. | entailment |
id_5350 | Some cats are elephants. No elephant is river. All rivers are roads. | No cat is river. | entailment |
id_5351 | Some cats are elephants. No elephant is river. All rivers are roads. | Some cats are rivers. | contradiction |
id_5352 | Some cats are white. Milk is white. | Some white is milk. | neutral |
id_5353 | Some cats are white. Milk is white. | Some cat is milk. | neutral |
id_5354 | Some chairs are tables. Some tables are drawers. All drawers are shelves | Some shelves are tables. | entailment |
id_5355 | Some chairs are tables. Some tables are drawers. All drawers are shelves | Some drawers are chairs. | contradiction |
id_5356 | Some chairs are tables. Some tables are drawers. All drawers are shelves | Some shelves are drawers. | entailment |
id_5357 | Some commentators argue that in times of global economic uncertainty governments should be boosting flagging economies by investing in major infrastructure projects. Governments should grasp the opportunities presented to tackle global climate change, at the same time as stimulating the economy, by using this public sector investment to move towards a new low- carbon economy. Investment is needed in low-carbon (popularly referred to as green) projects like renewable energy generation, adapting buildings to be more energy efficient, improving transport networks and even building pipelines to carry captured CO2 to undersea storage facilities. No country is untouched by the effects of climate change and everyone acknowledges that the political will has to be found if we are to see any real changes. | Government investment in green infrastructure projects will promote economic growth. | neutral |
id_5358 | Some commentators argue that in times of global economic uncertainty governments should be boosting flagging economies by investing in major infrastructure projects. Governments should grasp the opportunities presented to tackle global climate change, at the same time as stimulating the economy, by using this public sector investment to move towards a new low- carbon economy. Investment is needed in low-carbon (popularly referred to as green) projects like renewable energy generation, adapting buildings to be more energy efficient, improving transport networks and even building pipelines to carry captured CO2 to undersea storage facilities. No country is untouched by the effects of climate change and everyone acknowledges that the political will has to be found if we are to see any real changes. | Some countries are not yet affected by climate change. | contradiction |
id_5359 | Some commentators argue that in times of global economic uncertainty governments should be boosting flagging economies by investing in major infrastructure projects. Governments should grasp the opportunities presented to tackle global climate change, at the same time as stimulating the economy, by using this public sector investment to move towards a new low- carbon economy. Investment is needed in low-carbon (popularly referred to as green) projects like renewable energy generation, adapting buildings to be more energy efficient, improving transport networks and even building pipelines to carry captured CO2 to undersea storage facilities. No country is untouched by the effects of climate change and everyone acknowledges that the political will has to be found if we are to see any real changes. | Many people anticipate that a flagging economy will benefit green projects. | neutral |
id_5360 | Some computers are machines. Some machines are boards. All boards are chalks. | No chalk is computer. | contradiction |
id_5361 | Some computers are machines. Some machines are boards. All boards are chalks. | Some chalks are computers. | contradiction |
id_5362 | Some desks are apartments. All apartments are cars. Some cars are trucks. | Some desks are cars. | entailment |
id_5363 | Some desks are apartments. All apartments are cars. Some cars are trucks. | Some cars are apartments. | entailment |
id_5364 | Some desks are apartments. All apartments are cars. Some cars are trucks. | No truck is a desk. | neutral |
id_5365 | Some desks are apartments. All apartments are cars. Some cars are trucks. | Some desks are trucks. | neutral |
id_5366 | Some desks are chairs. All chairs are tables. Some tables are mats. | Some mats are chairs | contradiction |
id_5367 | Some desks are chairs. All chairs are tables. Some tables are mats. | Some tables are desks. | entailment |
id_5368 | Some desks are chairs. All chairs are tables. Some tables are mats. | Some mats are desks. | contradiction |
id_5369 | Some dews are drops. All drops are stones. | At least some stones are drops. | entailment |
id_5370 | Some dews are drops. All drops are stones. | At least some dews are stones. | entailment |
id_5371 | Some doctors claim that any information received from a patient during a medical consultation is subject ethically to absolute confidentiality and can in no circumstance be revealed without the patients permission. Without such a rule, they believe that patients would not supply all of the information needed to treat them. Most however, believe that their obligations to society override their obligations to their patients; for example, being prepared to report to the police a patient who persisted in driving, despite the existence of a condition that rendered them unsafe. One reason for such a conflict is that whilst courts recognize the confidentiality of exchange between lawyers and clients, this is not extended to doctor and patients. | Patients rarely give permission for a doctor to discuss their medical details with others. | neutral |
id_5372 | Some doctors claim that any information received from a patient during a medical consultation is subject ethically to absolute confidentiality and can in no circumstance be revealed without the patients permission. Without such a rule, they believe that patients would not supply all of the information needed to treat them. Most however, believe that their obligations to society override their obligations to their patients; for example, being prepared to report to the police a patient who persisted in driving, despite the existence of a condition that rendered them unsafe. One reason for such a conflict is that whilst courts recognize the confidentiality of exchange between lawyers and clients, this is not extended to doctor and patients. | A doctor would report to the police a patient who was a danger to others. | neutral |
id_5373 | Some doctors claim that any information received from a patient during a medical consultation is subject ethically to absolute confidentiality and can in no circumstance be revealed without the patients permission. Without such a rule, they believe that patients would not supply all of the information needed to treat them. Most however, believe that their obligations to society override their obligations to their patients; for example, being prepared to report to the police a patient who persisted in driving, despite the existence of a condition that rendered them unsafe. One reason for such a conflict is that whilst courts recognize the confidentiality of exchange between lawyers and clients, this is not extended to doctor and patients. | Doctors are in agreement about the ethics and practice of patient confidentiality. | contradiction |
id_5374 | Some dogs are cats. Some cats are hounds. Some hounds are animals. | No animals are cats. | contradiction |
id_5375 | Some dogs are cats. Some cats are hounds. Some hounds are animals. | Some hounds are dogs. | contradiction |
id_5376 | Some dogs are cats. Some cats are hounds. Some hounds are animals. | Some animals are dogs. | contradiction |
id_5377 | Some dogs are cats. Some cats are hounds. Some hounds are animals. | Some animals are cats. | contradiction |
id_5378 | Some fruits are seeds. All seeds are trees. All plants are trees. | Some plants are seeds. | entailment |
id_5379 | Some fruits are seeds. All seeds are trees. All plants are trees. | No plant is a seed. | entailment |
id_5380 | Some fruits are seeds. All seeds are trees. All plants are trees. | Some trees are fruits. | contradiction |
id_5381 | Some fruits are seeds. All seeds are trees. All plants are trees. | Some plants are fruits. | contradiction |
id_5382 | Some gases are liquids. All liquids are water. | All gases being water is a possibility. | entailment |
id_5383 | Some gases are liquids. All liquids are water. | All such gases which are not water can never be liquids. | contradiction |
id_5384 | Some motors are books. Some scooters are motors. All girls are scooters. | No girl is a book | contradiction |
id_5385 | Some motors are books. Some scooters are motors. All girls are scooters. | Some scooters are girls. | entailment |
id_5386 | Some nails are horses. All horses are tablets. All tablets are crows. | Some crows are nails. | entailment |
id_5387 | Some nails are horses. All horses are tablets. All tablets are crows. | Some tablets are nails. | entailment |
id_5388 | Some nails are horses. All horses are tablets. All tablets are crows. | Some crows are horses | entailment |
id_5389 | Some of the most philanthropic companies in the United States are shunning the limelight. Philanthropy can also be known as compassion, charity, and generosity. Such figures are gathered and published by The Chronicle of Philanthropy. The list of charitable companies is topped by pharmaceutical companies, the lead of which is Johnson and Johnson; they far outstripped the number two spot of Merck, who gave $923 million to charity in 2011. This figure is up by 12% on the figure donated in the year before. The Chronicle of Philanthropy notes that on average, leading companies in the US gave 1.2% of their annual profit to a charitable cause. However, several leading companies, including Apple and Google refused to provide information on their charitable giving. | Information on charitable giving is provided by The Chronicle of Philanthropy. | entailment |
id_5390 | Some of the most philanthropic companies in the United States are shunning the limelight. Philanthropy can also be known as compassion, charity, and generosity. Such figures are gathered and published by The Chronicle of Philanthropy. The list of charitable companies is topped by pharmaceutical companies, the lead of which is Johnson and Johnson; they far outstripped the number two spot of Merck, who gave $923 million to charity in 2011. This figure is up by 12% on the figure donated in the year before. The Chronicle of Philanthropy notes that on average, leading companies in the US gave 1.2% of their annual profit to a charitable cause. However, several leading companies, including Apple and Google refused to provide information on their charitable giving. | Some companies refuse to disclose the amount they give to charities. | entailment |
id_5391 | Some of the most philanthropic companies in the United States are shunning the limelight. Philanthropy can also be known as compassion, charity, and generosity. Such figures are gathered and published by The Chronicle of Philanthropy. The list of charitable companies is topped by pharmaceutical companies, the lead of which is Johnson and Johnson; they far outstripped the number two spot of Merck, who gave $923 million to charity in 2011. This figure is up by 12% on the figure donated in the year before. The Chronicle of Philanthropy notes that on average, leading companies in the US gave 1.2% of their annual profit to a charitable cause. However, several leading companies, including Apple and Google refused to provide information on their charitable giving. | Leading US companies gave an average of over one per cent of their profits. | entailment |
id_5392 | Some of the most philanthropic companies in the United States are shunning the limelight. Philanthropy can also be known as compassion, charity, and generosity. Such figures are gathered and published by The Chronicle of Philanthropy. The list of charitable companies is topped by pharmaceutical companies, the lead of which is Johnson and Johnson; they far outstripped the number two spot of Merck, who gave $923 million to charity in 2011. This figure is up by 12% on the figure donated in the year before. The Chronicle of Philanthropy notes that on average, leading companies in the US gave 1.2% of their annual profit to a charitable cause. However, several leading companies, including Apple and Google refused to provide information on their charitable giving. | Johnson and Johnson gave $923 million to charity last year. | neutral |
id_5393 | Some opels are televisions. Some televisions are bulbs. All tubes are bulbs. | Some opels are bulbs. | contradiction |
id_5394 | Some opels are televisions. Some televisions are bulbs. All tubes are bulbs. | All bulbs are tubes. | contradiction |
id_5395 | Some opels are televisions. Some televisions are bulbs. All tubes are bulbs. | Some opels are tubes. | contradiction |
id_5396 | Some opels are televisions. Some televisions are bulbs. All tubes are bulbs. | No tube is opel. | contradiction |
id_5397 | Some painters are artists. Some dancers are painters. | All painters are dancers. | contradiction |
id_5398 | Some painters are artists. Some dancers are painters. | All artists are dancers. | contradiction |
id_5399 | Some participants are students. Some students are boys. | All boys are participants. | contradiction |
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