uid stringlengths 4 7 | premise stringlengths 19 9.21k | hypothesis stringlengths 13 488 | label stringclasses 3
values |
|---|---|---|---|
id_500 | After providing LPG in easy-to-carry 5-kg cylinders, the government launched 2-kg bottles at local kirana stores and introduction of online booking of new connections for subsidised cooking fuel. | The scheme will be particularly beneficial for the rural people and poor who cannot afford to pay the price of a 14.2-kg or even 5- kg cylinder | contradiction |
id_501 | Ahmedabad has a lower population and hence is a safer place to live. | A city which has less population is a better place to live. | contradiction |
id_502 | Ahmedabad has a lower population and hence is a safer place to live. | Ahmedabad has lower number of crimes than Bombay. | contradiction |
id_503 | Air Rage The first recorded case of an airline passenger turning seriously violent during a flight, a phenomenon now widely known as air rage, happened in 1947 on a flight from Havana to Miami. A drunk man assaulted another passenger and bit a flight attendant. However, the man escaped punishment because it was not the... | It has been impossible to ban passengers with histories of air-rage. | contradiction |
id_504 | Air Rage The first recorded case of an airline passenger turning seriously violent during a flight, a phenomenon now widely known as air rage, happened in 1947 on a flight from Havana to Miami. A drunk man assaulted another passenger and bit a flight attendant. However, the man escaped punishment because it was not the... | In the first case of air rage, the man was not punished because the plane was not registered. | contradiction |
id_505 | Air Rage The first recorded case of an airline passenger turning seriously violent during a flight, a phenomenon now widely known as air rage, happened in 1947 on a flight from Havana to Miami. A drunk man assaulted another passenger and bit a flight attendant. However, the man escaped punishment because it was not the... | The statistics on air rage were collected by private monitoring groups. | neutral |
id_506 | Air Rage The first recorded case of an airline passenger turning seriously violent during a flight, a phenomenon now widely known as air rage, happened in 1947 on a flight from Havana to Miami. A drunk man assaulted another passenger and bit a flight attendant. However, the man escaped punishment because it was not the... | The second most common catalyst for incidents is problems with seating. | entailment |
id_507 | Air Rage The first recorded case of an airline passenger turning seriously violent during a flight, a phenomenon now widely known as air rage, happened in 1947 on a flight from Havana to Miami. A drunk man assaulted another passenger and bit a flight attendant. However, the man escaped punishment because it was not the... | The environment in a plane makes disagreements more likely to become serious problems. | entailment |
id_508 | Air Rage The first recorded case of an airline passenger turning seriously violent during a flight, a phenomenon now widely known as air rage, happened in 1947 on a flight from Havana to Miami. A drunk man assaulted another passenger and bit a flight attendant. However, the man escaped punishment because it was not the... | Airlines have been encouraging passengers to bring more items onboard as carry-on luggage. | neutral |
id_509 | Airline companies are increasingly searching for novel tactics to succeed and keep afloat in this competitive industry. By code sharing and forming Frequent Flyer Club partnerships, they can realise new prospects that they couldn't while operating on their own. The potential gains of such initiatives are grand. As over... | There are certain services that airlines should offer on their own, without forming a partnership. | neutral |
id_510 | Airline companies are increasingly searching for novel tactics to succeed and keep afloat in this competitive industry. By code sharing and forming Frequent Flyer Club partnerships, they can realise new prospects that they couldn't while operating on their own. The potential gains of such initiatives are grand. As over... | Overhead and high operating costs have caused airline companies to struggle with low demand. | neutral |
id_511 | Airline companies are increasingly searching for novel tactics to succeed and keep afloat in this competitive industry. By code sharing and forming Frequent Flyer Club partnerships, they can realise new prospects that they couldn't while operating on their own. The potential gains of such initiatives are grand. As over... | If airlines combine operations on unpopular routes, they will increase operating costs. | contradiction |
id_512 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | Men had higher levels of Vitamin D. | entailment |
id_513 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | All of the volunteers obtained high enough levels of Vitamin D in the winter. | contradiction |
id_514 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | Tallas wanted to know why the levels of Vitamin D were lower in people from Alaska. | contradiction |
id_515 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | Vitamin D levels dropped over eight consecutive months. | entailment |
id_516 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | Men, women and children volunteered for the study. | neutral |
id_517 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | Vitamin D levels were found to peak in July. | entailment |
id_518 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | People in Boston have higher levels of diabetes. | neutral |
id_519 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | People become depressed in the winter because of the lack of sunlight. | neutral |
id_520 | Alaskans vitamin D production slows to a halt Interested people are needed to participate in a one-year study to assess the effects of long dark winters on the vitamin D and calcium levels of Fairbanks residents. So began a recruitment poster Meredith Tallas created 25 years ago. Now living in Oakland, California, Tall... | Many Alaskans go on trips in the winter. | contradiction |
id_521 | Alcohol and tobacco are more harmful than illegal drugs such as cannabis and ecstasy, according to a new system that ranks drugs according to the estimated harm they cause. The system rates alcohol as only slightly less harmful than drugs such as heroin and cocaine. Tobacco appears in tenth place in the league table of... | Under the new system, cannabis is ranked in the lower half of the table of substances. | entailment |
id_522 | Alcohol and tobacco are more harmful than illegal drugs such as cannabis and ecstasy, according to a new system that ranks drugs according to the estimated harm they cause. The system rates alcohol as only slightly less harmful than drugs such as heroin and cocaine. Tobacco appears in tenth place in the league table of... | The main point made in the passage is that some legal drugs cause more harm than illegal ones. | contradiction |
id_523 | Alcohol and tobacco are more harmful than illegal drugs such as cannabis and ecstasy, according to a new system that ranks drugs according to the estimated harm they cause. The system rates alcohol as only slightly less harmful than drugs such as heroin and cocaine. Tobacco appears in tenth place in the league table of... | You can infer from the passage that alcohol and tobaccos rating reflects their prevalence. | entailment |
id_524 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | Henderson rarely visited the area around Press estate when he was younger. | contradiction |
id_525 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | Henderson pursued a business career because it was what his family wanted. | entailment |
id_526 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | Henderson and Notman were surprised by the results of their 1865 experiment. | neutral |
id_527 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | There were many similarities between Henderson's early landscapes and those of Notman. | contradiction |
id_528 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | The studio that Henderson opened in 1866 was close to his home. | neutral |
id_529 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | Henderson gave up portraiture so that he could focus on taking photographs of scenery. | entailment |
id_530 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | When Henderson began work for the Intercolonial Railway, the Montreal to Halifax line had been finished. | contradiction |
id_531 | Alexander Henderson (1831-1913) Born in Scotland, Henderson emigrated to Canada in 1855 and became a well-known landscape photographer Alexander Henderson was born in Scotland in 1831 and was the son of a successful merchant. His grandfather, also called Alexander, had founded the family business, and later became the ... | Henderson's last work as a photographer was with the Canadian Pacific Railway. | entailment |
id_532 | All Lamels are Signots with buttons. No yellow Signots have buttons. | No Lamels are yellow. | entailment |
id_533 | All actors are males. Some artists are males. All singers are artists. | No singers are male. | contradiction |
id_534 | All actors are males. Some artists are males. All singers are artists. | Some males are actors. | contradiction |
id_535 | All actors are males. Some artists are males. All singers are artists. | Some singers are males. | contradiction |
id_536 | All actors are males. Some artists are males. All singers are artists. | Some artists are actors. | contradiction |
id_537 | All books are notes. Some notes are pencils. No pencil is paper. | No book is a paper. | entailment |
id_538 | All books are notes. Some notes are pencils. No pencil is paper. | Some pencils are books. | contradiction |
id_539 | All books are notes. Some notes are pencils. No pencil is paper. | Some notes are books. | entailment |
id_540 | All books are notes. Some notes are pencils. No pencil is paper. | Some books are papers. | entailment |
id_541 | All boxes are cartons. All cartons are packages. Some packages are letters. No box is a parcel. | All boxes are packages. | entailment |
id_542 | All boxes are cartons. All cartons are packages. Some packages are letters. No box is a parcel. | Some boxes are not cartons. I | contradiction |
id_543 | All boxes are cartons. All cartons are packages. Some packages are letters. No box is a parcel. | All packages are letters. | neutral |
id_544 | All boxes are cartons. All cartons are packages. Some packages are letters. No box is a parcel. | Some packages are not letters. | neutral |
id_545 | All bricks are flowers. Some houses are flowers. All pens are houses. | Some flowers are bricks. | entailment |
id_546 | All bricks are flowers. Some houses are flowers. All pens are houses. | Some pens are flowers. | contradiction |
id_547 | All bricks are flowers. Some houses are flowers. All pens are houses. | No pen is flower. | contradiction |
id_548 | All bricks are flowers. Some houses are flowers. All pens are houses. | Some houses are bricks. | contradiction |
id_549 | All brushes are chocolates. All chocolates are mirrors. All mirrors are tables. | Some mirrors are chocolates. | contradiction |
id_550 | All brushes are chocolates. All chocolates are mirrors. All mirrors are tables. | Some tables are brushes | contradiction |
id_551 | All bulls are bells. Some bulls are cows. Some bells are chairs. | All bells are bulls. | contradiction |
id_552 | All bulls are bells. Some bulls are cows. Some bells are chairs. | Some cows are chairs. | contradiction |
id_553 | All bulls are bells. Some bulls are cows. Some bells are chairs. | Some bells are bulls. | entailment |
id_554 | All bulls are bells. Some bulls are cows. Some bells are chairs. | All bells are cow. | contradiction |
id_555 | All cabins are rooms. All rooms are buildings. | All cabins are buildings | entailment |
id_556 | All cabins are rooms. All rooms are buildings. | All buildings are rooms. | contradiction |
id_557 | All calculators are boxes. All boxes are taps. Some taps are machines. | Some machines are boxes. | contradiction |
id_558 | All calculators are boxes. All boxes are taps. Some taps are machines. | Some taps are calculators. | entailment |
id_559 | All calculators are boxes. All boxes are taps. Some taps are machines. | Some boxes are calculators. | entailment |
id_560 | All cats are Lions. Some lions are mice. All mice are giraffes. | Some mice are cats. | contradiction |
id_561 | All cats are Lions. Some lions are mice. All mice are giraffes. | Some giraffes are mice. | entailment |
id_562 | All cats are Lions. Some lions are mice. All mice are giraffes. | Some giraffes are cats. | entailment |
id_563 | All cats are Lions. Some lions are mice. All mice are giraffes. | Some giraffes are lions. | contradiction |
id_564 | All cats are cows. All horses are cows. Some cows are bulls. | Some cats are horses. | contradiction |
id_565 | All cats are cows. All horses are cows. Some cows are bulls. | Some horses are bulls. | contradiction |
id_566 | All cats are cows. All horses are cows. Some cows are bulls. | All bulls are cows. | contradiction |
id_567 | All cats are cows. All horses are cows. Some cows are bulls. | Some bulls are cats. | contradiction |
id_568 | All cats are dogs. All dogs are brown. | All brown are dogs. | contradiction |
id_569 | All cats are dogs. All dogs are brown. | All cats are brown. | entailment |
id_570 | All cats are drakes. No drake is a mare. All mares are animals. | No cat is a mare. | contradiction |
id_571 | All cats are drakes. No drake is a mare. All mares are animals. | Some animals are mares. | contradiction |
id_572 | All cats are drakes. No drake is a mare. All mares are animals. | Some drakes are cats. | contradiction |
id_573 | All cats are drakes. No drake is a mare. All mares are animals. | Some cats are mares. | contradiction |
id_574 | All chairs are tables. All tables are bottles. Some bottles are jars. No jar is bucket. | Some bottles are not bucket | entailment |
id_575 | All chairs are tables. All tables are bottles. Some bottles are jars. No jar is bucket. | Some bottles are chairs. | entailment |
id_576 | All chairs are tables. All tables are bottles. Some bottles are jars. No jar is bucket. | Some tables being jar is a possibility. | entailment |
id_577 | All computers are pentiums. Some pentiums are machines. | Some machines are computers. | contradiction |
id_578 | All computers are pentiums. Some pentiums are machines. | Some computers are machines. | contradiction |
id_579 | All desks are boards. All boards are flat. All flats are white. | Some flats are desks. | entailment |
id_580 | All desks are boards. All boards are flat. All flats are white. | Some whites are flat. | entailment |
id_581 | All desks are boards. All boards are flat. All flats are white. | All boards are white. | entailment |
id_582 | All desks are boards. All boards are flat. All flats are white. | All whites are desks. | contradiction |
id_583 | All dogs are rats. All rats are crows. All crows are parrots. | All rats are dogs | contradiction |
id_584 | All dogs are rats. All rats are crows. All crows are parrots. | Some crows are dogs. | entailment |
id_585 | All dogs are rats. All rats are crows. All crows are parrots. | Some parrots are dogs. | entailment |
id_586 | All dogs are rats. All rats are crows. All crows are parrots. | All dogs are parrots. | entailment |
id_587 | All fans are televisions. Some televisions are channels. Some channels are radios. | Some fans are channels. | contradiction |
id_588 | All fans are televisions. Some televisions are channels. Some channels are radios. | Some radios are televisions. | contradiction |
id_589 | All fast track applicants must hold a minimum of 320 UCAS points and a minimum of a 2:1 degree in any subject. Preference may be given to candidates holding a 1 st class degree over a 2:1. For candidates with a 2:1 degree, the selection process will involve psychometric testing, structured interviews, E-tray exercises ... | Applicants to the experienced professionals program do not require a 2:1 level degree. | entailment |
id_590 | All fast track applicants must hold a minimum of 320 UCAS points and a minimum of a 2:1 degree in any subject. Preference may be given to candidates holding a 1 st class degree over a 2:1. For candidates with a 2:1 degree, the selection process will involve psychometric testing, structured interviews, E-tray exercises ... | Graduates may not apply to the experienced professionals program. | neutral |
id_591 | All fast track applicants must hold a minimum of 320 UCAS points and a minimum of a 2:1 degree in any subject. Preference may be given to candidates holding a 1 st class degree over a 2:1. For candidates with a 2:1 degree, the selection process will involve psychometric testing, structured interviews, E-tray exercises ... | All applicants to the fast track are required to undergo psychometric testing. | neutral |
id_592 | All fast track applicants must hold a minimum of 320 UCAS points and a minimum of a 2:1 degree in any subject. Preference may be given to candidates holding a 1 st class degree over a 2:1. For candidates with a 2:1 degree, the selection process will involve psychometric testing, structured interviews, E-tray exercises ... | Non-graduates are not permitted to apply to the fast track. | entailment |
id_593 | All flats are buildings. All buildings are bungalows. All bungalows are apartments. | Some bungalows are flats. | entailment |
id_594 | All flats are buildings. All buildings are bungalows. All bungalows are apartments. | All flats are bungalows. | entailment |
id_595 | All flats are buildings. All buildings are bungalows. All bungalows are apartments. | Some apartments are flats. | entailment |
id_596 | All fruits are leaves. Some leaves are trees. No tree is house. | No house is a fruit | contradiction |
id_597 | All fruits are leaves. Some leaves are trees. No tree is house. | Some houses are fruits. | contradiction |
id_598 | All fruits are leaves. Some leaves are trees. No tree is house. | Some trees are fruits. | contradiction |
id_599 | All grapes are apples. All papayas are apples. Some apples are mangoes. | All mangoes are grapes. | contradiction |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.