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Bernhard is a rhino. Brian is a swan. Julius is a frog. Lily is a rhino. Brian is white. Julius is white. Lily is green. Bernhard is green. Greg is a frog. | Greg is white. | 1entailed
| babi_nli/basic-induction |
Daniel went back to the office. Following that he went back to the kitchen. John travelled to the bathroom. Then he travelled to the kitchen. | Daniel is in the kitchen. | 1entailed
| babi_nli/basic-coreference |
The bathroom is east of the garden. The kitchen is west of the garden. | The garden west of is bathroom. | 1entailed
| babi_nli/two-arg-relations |
Elijah heard that lamb stew is much ado about mutton | Elijah heard a pun | 1entailed
| recast/recast_puns |
Kyle phoned the gauble from Matthew. | Something bad happened . | 0not-entailed
| recast/recast_verbcorner |
Heather cabled to come . | Heather caused the cabling . | 1entailed
| recast/recast_verbnet |
It also does not prevent the Western press from giving credence , every day , even now , to similar liars . | The giving happened | 1entailed
| recast/recast_factuality |
Kuwait has done little to diversify its economy , in part , because of this positive fiscal situation , and , in part , due to the poor business climate and the acrimonious relationship between the National Assembly and the executive branch , which has stymied most movement on economic reforms . | National Assembly is an event | 0not-entailed
| recast/recast_ner |
someone was devastated that a particular thing happened . | that thing didn't happen . | 0not-entailed
| recast/recast_megaveridicality |
When asked about the movie, Geoffrey said, 'Special mention should be made of the superb music score and sound effects, which are an integral element in helping to make this such a memorable and enjoyable cartoon. '. | Geoffrey liked the movie . | 1entailed
| recast/recast_sentiment |
Jayden entered the bedroom. Carter entered the bedroom. Jayden dislikes the peas The pear is in the green bucket. Carter loves the attic Carter moved the pear to the green crate. Jayden exited the bedroom. | Jayden look for the pear in the green crate. | 0not-entailed
| tomi-nli |
At present, the widely used mechanical metamaterial has excellent characteristics such as negative thermal expansion, and high strength and high stiffness at low weight. However, once this mechanical metamaterial is constructed, its properties cannot be changed or adjusted. Recently, researchers have developed a new type of material which overcome this problem. It is certain that in the near future, robots, smart wearable equipment and other fields will definitely fundamentally change. | If true, the statement "From the synthesis of a new material to the specific practical application of the material, it is necessary to overcome a variety of unpredictable difficulties" will most support the above conclusion. | 0not-entailed
| logiqa-2.0-nli |
There are four persons. Everyone is visible to others. There is a mirror in the room. It is publicly announced that someone's forehead is muddy. It is publicly announced that Lourdes's forehead is not muddy. It is publicly announced that Lourdes's forehead is not muddy. It is publicly announced that Lourdes's forehead is not muddy. | Lourdes can now know that William can know that Gertrude's forehead is muddy. | 0not-entailed
| mindgames |
Joe was a police officer. Joe was patrolling the streets of the city in his cruiser. "Suddenly, Joe was alerted to a crime happening near him by dispatch." Joe responded to the scene and found a bank robber fleeing on foot. Joe arrested the criminal and was promoted. | Joe put on his police uniform. ends after Joe patrol the streets of the city in his cruiser | 0not-entailed
| tracie |
Spain is making peace with Syria | Spain is fighting Syria | 0not-entailed
| sherliic |
1-2 ppd Cigarettes | The person uses cocaine. | 0not-entailed
| SDOH-NLI |
what is my recent email activity | The example utterance is a query about emails. | 1entailed
| dataset_train_nli |
What is not explicitly stated as true is considered false.
Bob is young. Dave is rough. Dave is round. Fiona is not nice. Fiona is rough. Gary is blue. Gary is cold. Gary is quiet. Gary is round. Gary is young. If Fiona is blue then Fiona is rough. Cold things are quiet. Round, nice things are blue. If Fiona is not cold then Fiona is not quiet. If Bob is not round then Bob is rough. If something is round and not quiet then it is not blue. | Bob is not blue. | 1entailed
| ruletaker |
(~((((s&(t&z))&c)&(q|q)))>m) | (m|q) | 1entailed
| logical-entailment |
Recent rodent models of antidepressant response implicate a novel set of genes in mechanisms of antidepressant action. The authors examined variants in four such genes (KCNK2 (TREK1), SLC18A2 (VMAT2), S100A10, and HDAC5) for association with remission in a large effectiveness trial of antidepressant treatments. Subjects were drawn from the Sequenced Treatment Alternatives to Relieve Depression (STAR(*)D) study, a multicenter, prospective, effectiveness trial in major depressive disorder (MDD). Outpatients with nonpsychotic MDD were initially treated with citalopram for up to 14 weeks; those who did not remit with citalopram were sequentially randomized to a series of next-step treatments, each for up to 12 weeks. Single-nucleotide polymorphisms in four genes were examined for association with remission, defined as a clinician-rated Quick Inventory of Depressive Symptomatology (QIDS-C(16)) score < or =5. Of 1554 participants for whom DNA was available, 565 (36%) reached remission with citalopram treatment. No association with any of the four genes was identified. However, among the 751 who entered next-step treatment, variants in KCNK2 were associated with treatment response (Bonferroni-corrected, gene-based empirical p<0.001). In follow-up analyses, KCNK2 was also associated with effects of similar magnitude for third-step treatment among those with unsatisfactory benefit to both citalopram and one next-step pharmacotherapy (n=225). These findings indicate that genetic variation in KCNK2 may identify individuals at risk for treatment resistance. More broadly, they indicate the utility of animal models in identifying genes for pharmacogenetic studies of antidepressant response. | This study does not have human subjects | 1entailed
| biosift-nli |
JPMorgan Chase CEO Jamie Dimon attends a policy forum with President Donald Trump in the State Dining Room at the White House, Feb. 3, 2017, in Washington. Getty Images JPMorgan Chase, whose outspoken chairman and chief executive, Jamie Dimon, joined a chorus of other business leaders condemning President Donald Trump's response to the deadly violence in Charlottesville, Virginia, earlier this month, is pledging up to $2 million to anti-hate groups. "While there are no simple answers, it is vital that we recommit ourselves to the principles of equality, respect and acceptance," said JPMorgan's Peter Scher, a former Clinton administration official who is now the bank's head of corporate responsibility and runs its foundation. He is also the bank's face in Washington, D.C., as chairman of that region. It is clear, he said in an internal email Monday, "that the events of the past week reflect deep divisions across our country and compel us to redouble our efforts." The planned donation follows similar moves by Apple and 21st Century Fox's James Murdoch. Last week, Apple CEO Tim Cook pledged $1 million each to the Anti-Defamation League and Southern Poverty Law Center and said the company would match employee donations. Murdoch, head of 21st Century Fox, pledged $1 million to the ADL. JPMorgan is giving $1 million to be split between the ADL and the Southern Poverty Law Center "to further their work in tracking, exposing and fighting hate groups and other extremist organizations," Scher said the email. JPMorgan is also giving $50,000 to the Charlottesville community foundation and will match employee contributions to the anti-hate groups up to another $1 million. In a statement emailed to CNBC later on Monday, ADL's spokesperson said the organization also has received donations in the last week from Uber, MGM Resorts and Bumble, an online dating service. ADL's online donations last week increased six-fold versus the average for 2017 and the amount of funds raised increased 1,000 percent, Betsaida Alcantara, the spokesperson, added. "We are proud that the great majority of the individual online donations came from first-time donors." Richard Cohen, the president of the Southern Poverty Law Center, said in his own statement emailed to CNBC: "Now more than ever, America's leading institutions must speak out against white supremacism. While we appreciate JPMorgan Chase's contribution, we are even more grateful for its strong public position against hate and bigotry." Business leaders, including Cook, Dimon and Murdoch, have condemned Trump's response to the violence that erupted between white supremacists and counterprotesters during a weekend march earlier this month. Two business councils advising the administration, made up of CEOs and others, disbanded last week as a wave of CEOs quit. "I strongly disagree with President Trump's reaction to the events that took place in Charlottesville over the past several days," Dimon said in a memo to staff last week. "Racism, intolerance and violence are always wrong." JPMorgan says its foundation has a tradition of donating money after natural disasters or events that affect communities where it has operations. Last year it donated $300,000 to Orlando, Florida, for recovery efforts after a deadly nightclub shooting, and it matched employee gifts up to another $200,000. The foundation also gave $200,000 for flood relief in Louisiana. | JPMorgan Chase has pledged to donate up to $ 2 m to anti - hate groups , following condemnation of President Trump ’s response to violence in Virginia earlier this month by CEO Jamie Dimon . The Anti - Hate League ( ADL ) and the Southern Poverty Law Center will split $ 1 m between them , while the Charlottesville community foundation will receive $ 500 . The bank will also match employee donations to the groups up to the sum of $ 1 m . The move follows similar donations from Apple and 21st Century Fox ’s James Murdoch . Chase has also announced donations from dating service Bumble as well as from MGM Resorts and Uber . | 0not-entailed
| doc-nli |
Kelly is furious that Peterborough have been ordered to replay their FA Cup match with his non-League side on Friday at London Road behind closed doors. | Kelly is furious that Peterborough have been ordered to replay their FA Cup match with his non-League side on Friday at London Road without an audience watching. | 1entailed
| idioms-nli |
::stage Adult:: The female grizzly bear will mate with several males if enough are in the area she inhabits. For most grizzly bears, mating season runs from May into the first part of June. The female becomes sexually mature and able to have cubs between 4 1/2 and 10 years of age, notes the Bear Aware British Columbia website. Most females will breed once every three to four years, as it requires a few years to integrate their cubs into the world. ::stage Gestation:: The bear gestation period varies between 180 and 266 days. The embryo's development goes on hold temporarily at first, as the female gorges herself on whatever foods are available during the summer and autumn to develop a layer of fat off to live on through the winter months. The female chooses the site of her den, often under a log, in a cave or in a hollow tree. The female will then proceed to enter a sort of stupor that is not a true hibernation, with her body temperature, heart rate and breathing all reduced. Once the female is in this state, the embryo starts to develop once more, with the female giving birth to one to four cubs no later than March. ::stage Cub:: The newborn cub lacks fur and cannot see until it's a few days old. Although the young cease suckling from the mother by about the age of five months, they will continue to stay with her for as long as three years. The cubs need her protection from predators such as other bears, cougars and wolves. The grizzly cub has the ability to climb trees with ease until it is about a year old. The mother provides the meals with her foraging and hunting skills. ::stage Young adult:: Once the cubs are capable of fending for themselves, the mother will drive them away from her and look to breed again. By this time the young grizzly weighs between 350 to 700 lbs. depending on the abundance of food. As these bears grow in size and strength, their diet will expand as they start to possess the ability to kill larger prey. These male grizzlies will wait until they reach their sexual maturity before they breed, with some mature at 4 years old and others needing as much as 18 more months to reach full adulthood. In the meantime, they will establish their own territories as they age. | In the cub stage, it has fur | 0not-entailed
| lifecycle-entailment |
17 civilians were kidnapped by Mayi Mayi Militia (Simba) while travelling on a bus in Badengaido. | This text is about an abduction or forced disappearance of civilians. | 1entailed
| Pol_NLI |
khorovïye kontsertï were typically done similar to what pieces? | Bishop Kallistos Ware says, "The service is sung, even though there may be no choir... | 0not-entailed
| glue/qnli |
Weinstock painstakingly reviewed dozens of studies for evidence of any link between sunscreen use and either an increase or decrease in melanoma. | skin cancer numbers increase. | 0not-entailed
| glue/rte |
John promised Bill to leave, so an hour later he left. | John left. | 1entailed
| glue/wnli |
The nutritionist explained to the patient that cutting down on sugar would be an effective way to improve his diet. | There was discussion of the nutritionist's diet. | 0not-entailed
| super_glue/axg |
Sandra and Mary journeyed to the hallway. Then they travelled to the kitchen. Daniel and John journeyed to the bedroom. Then they went back to the bathroom. | Daniel is in the bathroom. | 1entailed
| babi_nli/compound-coreference |
Sandra moved to the office. John is not in the bathroom. Sandra moved to the bathroom. Mary went back to the bedroom. | John is in the bathroom. | 0not-entailed
| babi_nli/simple-negation |
The triangle is below the blue square. The red sphere is to the right of the triangle. | The blue square is to the right of the red sphere. | 0not-entailed
| babi_nli/positional-reasoning |
The office is east of the bathroom. The office is south of the garden. The kitchen is east of the hallway. The hallway is east of the office. The hallway is north of the bedroom. | You go from the kitchen to the office by heading w,w. | 1entailed
| babi_nli/path-finding |
Mary is either in the park or the school. Julie is in the office. Fred went back to the cinema. Bill is either in the office or the school. | Bill is in the office. | 0not-entailed
| babi_nli/indefinite-knowledge |
Mary moved to the kitchen. Sandra got the apple. Daniel picked up the milk. Mary went to the bathroom. Mary went to the hallway. Sandra journeyed to the garden. Mary went to the kitchen. Daniel discarded the milk. Sandra left the apple there. Mary picked up the football. Daniel moved to the bathroom. Daniel moved to the hallway. Mary travelled to the bedroom. Sandra journeyed to the bathroom. Mary moved to the office. Sandra journeyed to the garden. Sandra took the apple. Mary grabbed the milk. Sandra moved to the hallway. Mary put down the milk. John moved to the bedroom. Mary journeyed to the bathroom. Daniel moved to the bedroom. John journeyed to the bathroom. John moved to the bedroom. Mary discarded the football. Sandra moved to the bedroom. Sandra journeyed to the garden. | The football before the bathroom was in the office. | 1entailed
| babi_nli/three-supporting-facts |
Bill travelled to the bathroom. Fred took the apple there. Mary took the football there. Mary went to the hallway. Fred handed the apple to Jeff. Mary took the milk there. Mary moved to the garden. Jeff gave the apple to Fred. | Jeff gave the apple to Fred. | 1entailed
| babi_nli/three-arg-relations |
Wolves are afraid of cats. Mice are afraid of sheep. Cats are afraid of mice. Sheep are afraid of cats. Gertrude is a sheep. Jessica is a cat. Emily is a mouse. Winona is a mouse. | Emily is afraid of sheep. | 1entailed
| babi_nli/basic-deduction |
John and Mary travelled to the office. John and Sandra travelled to the garden. John and Daniel moved to the bedroom. Daniel and Sandra moved to the bathroom. | Daniel is in the bathroom. | 1entailed
| babi_nli/conjunction |
Daniel got the apple there. John went back to the bathroom. Daniel went to the hallway. Mary travelled to the hallway. | Daniel is carrying apple. | 1entailed
| babi_nli/lists-sets |
Bill moved to the park this morning. Bill moved to the bedroom this afternoon. Julie went back to the kitchen yesterday. Yesterday Bill went to the office. Fred moved to the kitchen this morning. Yesterday Fred went to the bedroom. | Bill before the bedroom was in the park. | 1entailed
| babi_nli/time-reasoning |
Sandra went to the bathroom. Daniel went to the bedroom. Mary went to the garden. Sandra moved to the hallway. | Sandra is in the hallway. | 1entailed
| babi_nli/single-supporting-fact |
John went to the kitchen. John travelled to the garden. John went back to the office. Daniel journeyed to the kitchen. Mary went back to the office. John moved to the hallway. Mary got the milk there. Mary took the football there. John travelled to the bathroom. Sandra went to the bathroom. John moved to the kitchen. Mary went back to the garden. Mary journeyed to the bathroom. Mary left the football. | The football is in the bathroom. | 1entailed
| babi_nli/two-supporting-facts |
John moved to the bathroom. Mary went back to the bathroom. John got the apple there. John dropped the apple. Daniel journeyed to the bathroom. Mary grabbed the apple there. | There are none objects is John carrying. | 1entailed
| babi_nli/counting |
The box is bigger than the container. The chocolate fits inside the suitcase. The box is bigger than the container. The container fits inside the box. The chest is bigger than the container. The container is bigger than the box of chocolates. The box of chocolates is bigger than the chocolate. The box of chocolates fits inside the box. The container is bigger than the suitcase. The box is bigger than the box of chocolates. | The box fit in the suitcase. | 0not-entailed
| babi_nli/size-reasoning |
John went back to the hallway. Daniel travelled to the hallway. Daniel picked up the milk there. Daniel left the milk. | John is in the hallway. | 1entailed
| babi_nli/yes-no-questions |
Julius is a frog. Julius is green. Bernhard is a frog. Lily is a frog. Greg is a frog. Greg is green. Brian is a frog. Brian is white. Bernhard is white. | Lily is white. | 1entailed
| babi_nli/basic-induction |
John travelled to the kitchen. Following that he journeyed to the bathroom. Sandra went back to the bedroom. Then she went back to the office. | John is in the bathroom. | 1entailed
| babi_nli/basic-coreference |
The hallway is east of the kitchen. The office is west of the kitchen. | West of the kitchen is office. | 1entailed
| babi_nli/two-arg-relations |
Brock heard that lamb stew is much ado about mutton | Brock did not hear a pun | 0not-entailed
| recast/recast_puns |
Peter ascended that place. | Someone or something changed physically . | 0not-entailed
| recast/recast_verbcorner |
Heather cabled when to send the package . | Someone received information . | 1entailed
| recast/recast_verbnet |
And , therefore , it works very well . | The working did not happen | 0not-entailed
| recast/recast_factuality |
Among those freed were well-known dissident writer and poet Raul Rivero , opposition politician Osvaldo Alfonso Valdes and economist and journalist Oscar Espinoso Chepe . | Osvaldo Alfonso Valdes is a month | 0not-entailed
| recast/recast_ner |
someone was devastated that a particular thing happened . | that thing might or might not have happened . | 0not-entailed
| recast/recast_megaveridicality |
When asked about the movie, Alexandra said, 'Special mention should be made of the superb music score and sound effects, which are an integral element in helping to make this such a memorable and enjoyable cartoon. '. | Alexandra did not like the movie . | 0not-entailed
| recast/recast_sentiment |
Jayden entered the bedroom. Carter entered the bedroom. Jayden dislikes the peas The pear is in the green bucket. Carter loves the attic Carter moved the pear to the green crate. Jayden exited the bedroom. | Jayden think that Carter searches for the pear in the green crate. | 0not-entailed
| tomi-nli |
Statistics for the first half of this year show that CPI in Province A fell 1.7% in three consecutive months after a 1.8% month-on-month increase in three months. In the same period, CPI in Province B rose 1.8% in three consecutive months after a 1.7% month-on-month decrease in three consecutive months. | The CPI of Province A was higher than that of Province B in June this year is not true if CPI in December was the same in both provinces. | 1entailed
| logiqa-2.0-nli |
There are four persons. Everyone is visible to others. There is a mirror in the room. It is publicly announced that someone's forehead is muddy. It is publicly announced that Donald knows whether Christopher's forehead is muddy. It is publicly announced that Mary's forehead is not muddy. | Donald can now know that Christopher can know that Jesse's forehead is muddy. | 0not-entailed
| mindgames |
Stanton had been hitting home runs all of his career. Suddenly Stanton could no longer hit home runs. He asked his hitting coach for help. Stanton put an a lot of extra hours with his hitting coach. Stanton started hitting home runs again! | Stanton was scoring runs again ends before Stanton hit home runs | 0not-entailed
| tracie |
Soviet Union is enemy of Russia | Russia is cutting to Soviet Union | 0not-entailed
| sherliic |
1-2 ppd Cigarettes | The person is a drug user. | 0not-entailed
| SDOH-NLI |
Context: I went through an old photo album.
Speaker 1: I went through an old photo album that I didn't even know existed when I was cleaning out my attic!
Speaker 2: Did it bring back good memories?
Speaker 1: Yes it sure did. It hit me with a wave of nostalgia and brought back some great moments.
Speaker 2: Sometimes it's fun to look back. | The main emotion of this example dialogue is: embarrassed | 0not-entailed
| dataset_train_nli |
What is not explicitly stated as true is considered false.
The bear is round. The rabbit is big. The squirrel chases the bear. The tiger needs the squirrel. If something chases the rabbit then it needs the bear. If something is round then it likes the squirrel. If something likes the tiger and the tiger likes the bear then the bear is young. If the rabbit is young and the rabbit needs the bear then the rabbit chases the tiger. If something needs the tiger and the tiger needs the rabbit then the tiger chases the rabbit. If something is round and kind then it chases the tiger. If something chases the rabbit and the rabbit chases the squirrel then it is kind. If something likes the squirrel then the squirrel is round. | The rabbit needs the bear. | 0not-entailed
| ruletaker |
(~((n&o))&a) | (a>(o&o)) | 0not-entailed
| logical-entailment |
Current guidelines recommend early P2Y<sub>12</sub> inhibitor administration in non-ST-elevation myocardial infarction, but it is unclear if precatheterization use is associated with longer delays to coronary artery bypass grafting (CABG) or higher risk of post-CABG bleeding and transfusion. This study examines the patterns and outcomes of precatheterization P2Y<sub>12</sub> inhibitor use in non-ST-elevation myocardial infarction patients who undergo CABG. Retrospective analysis was done of 20 304 non-ST-elevation myocardial infarction patients in the ACTION (Acute Coronary Treatment and Intervention Outcomes Network) Registry (2009-2014) who underwent catheterization within 24 hours of admission and CABG during the index hospitalization. Using inverse probability-weighted propensity adjustment, we compared time from catheterization to CABG, post-CABG bleeding, and transfusion rates between patients who did and did not receive precatheterization P2Y<sub>12</sub> inhibitors. Among study patients, 32.9% received a precatheterization P2Y<sub>12</sub> inhibitor (of these, 2.2% were given ticagrelor and 3.7% prasugrel). Time from catheterization to CABG was longer among patients who received precatheterization P2Y<sub>12</sub> inhibitor (median 69.9 hours [25th, 75th percentiles 28.2, 115.8] versus 43.5 hours [21.0, 71.8], <i>P</i><0.0001), longer for patients treated with prasugrel (median 114.4 hours [66.5, 155.5]) or ticagrelor (90.4 hours [48.7, 124.5]) compared with clopidogrel (69.3 [27.5, 114.6], <i>P</i><0.0001). Precatheterization P2Y<sub>12</sub> inhibitor use was associated with a higher risk of post-CABG major bleeding (75.7% versus 73.4%, adjusted odds ratio 1.33, 95% confidence interval 1.22-1.45, <i>P</i><0.0001) and transfusion (47.6% versus 35.7%, adjusted odds ratio 1.51, 95% confidence interval 1.41-1.62, <i>P</i><0001); these relationships did not differ among patients treated with clopidogrel, prasugrel, or ticagrelor. Precatheterization P2Y<sub>12</sub> inhibitor use occurs commonly among non-ST-elevation myocardial infarction patients who undergo early catheterization and in-hospital CABG. Despite longer delays to surgery, the majority of pretreated patients proceed to CABG <3 days postcatheterization. Precatheterization P2Y<sub>12</sub> inhibitor use is associated with higher risks of postoperative bleeding and transfusion. | This study has a target drug | 1entailed
| biosift-nli |
( CNN ) -- The National Weather Service has confirmed 59 tornadoes from a weekend outbreak of storms that killed six people . `` The Storm Prediction Center estimates the total will be around 75 when all surveys are complete , '' the weather service website said . There were initial reports of 135 tornadoes -- spread across Nebraska , Iowa , Kansas and Oklahoma -- from the sprawling storm system that ripped across the Plains and Midwest on Saturday . A much smaller outbreak was reported Sunday . At the time , the weather service said a final confirmed count would only come after officials had a chance to fan out across the states and determine how many of the reports were indeed tornadoes . All of the fatalities were in Woodward , Oklahoma , a community of about 12,000 people , about 85 miles west of Enid . At least 29 people were injured , officials said . The weather service said the town was hit by an EF-3 tornado , packing winds of up to 165 mph . It destroyed 89 homes and 12 businesses , according to City Manager Alan Riffel . Officials credited early warning systems elsewhere in the region with preventing more fatalities . Advisories from the system were issued two days in advance , rather than just hours , and were `` remarkably accurate , '' said Kansas Gov . Sam Brownback . `` People took it very seriously . '' CNN 's Rob Marciano reported from Oklahoma and Maria P. White from Atlanta . | Confirmed tornadoes are expected to be around 75 . All of the storm deaths were in Oklahoma . Advance warnings are credited with preventing more fatalities . | 1entailed
| doc-nli |
A WOMAN saved her guide dog from certain death by giving it the kiss of life. | A WOMAN saved her guide dog from certain death by giving it the life-changing kiss. | 0not-entailed
| idioms-nli |
::stage Egg:: The beginning of the Clothes moth lifecycle - adult female moths can lay 100-400 eggs over their short life and these eggs are tiny, typically 0.5mm in length. The eggs hatch from between 4 and 10 days depending on temperature and humidity. ::stage Larva:: The eggs hatch as clothes moth larvae - this is the destructive stage. The larvae are typically a few millimetres long upon hatching but then grow to 1-1.5cm in length, dependent on availability of food (i.e. your natural woollen and silk clothing or carpets as examples!) and moisture to help intake of water - they cannot 'drink' in a conventional sense and hence require humidity. This is why residual perspiration or food and drink stains on clothing attract moths. Clothes moth larvae can stay at this stage for up to 30 months (2 and 1/2 years!) happily eating your clothing whilst waiting for the right conditions to turn into adult moths. This is precisely why clothing moth issues persist through the winter, not just from the Spring when the adults tend to start flying. ::stage Pupa:: When the temperatures are right and the larvae have reached the right size, they then start the pupation stage where they spin a cocoon in which they metamorphose into the adult moth. This remarkable natural process typically takes 8 to 10 days. You may find the 'debris' from this stage in the form of used webbing cases from which the webbing clothes moth takes its common name. ::stage Adult:: The final part of the life cycle occurs when the adult clothes moth measuring about 1-1.5cm emerges from the cocoon. Whilst relatively harmless in their own right, the presence of adult clothes moths signals a potential infestation should they be allowed to lay their numerous eggs. The female adult clothes moth tends to hop or crawl - it is the male that flies more often in search of a mate. | At adult stage has a moth emerged from its cocoon. | 1entailed
| lifecycle-entailment |
YTA - not all good looking dudes are assholes. That's like me saying all whiny bitches are ugly. | This text is defending women. | 0not-entailed
| Pol_NLI |
How does interchanging allophones of the same pheneme render words? | The findings and insights of speech perception and articulation research complicate the traditional and somewhat intuitive idea of interchangeable allophones being perceived as the same phoneme. | 0not-entailed
| glue/qnli |
Most people are familiar with the idea of St. Bernards or other dogs taking part in rescue and recovery efforts. Robots might also take part in search and rescue missions. | Robots are used to find missing victims. | 1entailed
| glue/rte |
Frank was upset with Tom because the toaster he had sold him didn't work. | The toaster Frank had sold him didn't work. | 0not-entailed
| glue/wnli |
The janitor warned the child not to step on the wet floor, otherwise he would have to mop it all over again. | The janitor had already mopped the floor. | 1entailed
| super_glue/axg |
Mary and Daniel moved to the office. Afterwards they moved to the bathroom. | Daniel is in the office. | 0not-entailed
| babi_nli/compound-coreference |
Sandra moved to the office. John is not in the bathroom. Sandra moved to the bathroom. Mary went back to the bedroom. Sandra travelled to the garden. Sandra went to the office. | Sandra is in the office. | 1entailed
| babi_nli/simple-negation |
The red sphere is below the triangle. The red sphere is to the left of the pink rectangle. | The triangle is to the right of the pink rectangle. | 0not-entailed
| babi_nli/positional-reasoning |
The kitchen is west of the bedroom. The office is north of the bedroom. The bathroom is east of the office. The bedroom is west of the garden. The hallway is west of the office. | You go from the kitchen to the office by heading w,s. | 0not-entailed
| babi_nli/path-finding |
Mary is either in the park or the school. Julie is in the office. Fred went back to the cinema. Bill is either in the office or the school. Bill is in the cinema. Mary is in the office. | Fred is in the school. | 0not-entailed
| babi_nli/indefinite-knowledge |
Sandra journeyed to the kitchen. John journeyed to the kitchen. Mary went to the hallway. Daniel went back to the kitchen. Sandra went to the hallway. Mary travelled to the office. Daniel journeyed to the bedroom. Sandra took the apple there. Mary went to the bathroom. Mary picked up the milk. Mary dropped the milk. John went to the hallway. Sandra went to the bathroom. Sandra got the milk. Sandra dropped the apple. Mary went to the kitchen. Daniel went back to the kitchen. Sandra put down the milk there. Sandra moved to the kitchen. Mary journeyed to the hallway. Sandra went to the bathroom. Daniel journeyed to the office. John moved to the bathroom. Sandra picked up the milk. Daniel moved to the hallway. Daniel travelled to the garden. Sandra went back to the kitchen. Sandra discarded the milk. Sandra moved to the hallway. Daniel grabbed the football. Mary moved to the office. Daniel journeyed to the office. John got the apple. John journeyed to the garden. Daniel dropped the football. Mary got the football. John moved to the kitchen. Mary travelled to the kitchen. John journeyed to the garden. Sandra travelled to the bedroom. Mary put down the football. John discarded the apple. | The apple before the kitchen was in the kitchen. | 0not-entailed
| babi_nli/three-supporting-facts |
Bill went to the kitchen. Fred got the football there. Jeff moved to the hallway. Bill went back to the office. Jeff went back to the office. Jeff travelled to the kitchen. Mary moved to the garden. Fred dropped the football. Fred grabbed the football there. Jeff moved to the hallway. Jeff went back to the garden. Fred journeyed to the kitchen. Fred dropped the football. Jeff journeyed to the bedroom. Mary journeyed to the bedroom. Fred grabbed the football there. Bill moved to the hallway. Mary travelled to the bathroom. Bill picked up the milk there. Bill moved to the kitchen. Fred left the football. Bill grabbed the football there. Bill went back to the garden. Bill discarded the milk. Bill put down the football. Bill picked up the football there. Mary took the apple there. Bill moved to the bathroom. Jeff went to the office. Mary gave the apple to Bill. | Mary gave to Bill a football. | 0not-entailed
| babi_nli/three-arg-relations |
Cats are afraid of mice. Sheep are afraid of mice. Winona is a cat. Emily is a sheep. Gertrude is a sheep. Mice are afraid of cats. Wolves are afraid of mice. Jessica is a mouse. | Winona is afraid of sheep. | 0not-entailed
| babi_nli/basic-deduction |
Sandra and John journeyed to the hallway. John and Mary journeyed to the garden. | Sandra is in the garden. | 0not-entailed
| babi_nli/conjunction |
Sandra took the milk there. Daniel moved to the hallway. | Sandra is carrying nothing. | 0not-entailed
| babi_nli/lists-sets |
Mary travelled to the cinema yesterday. Fred moved to the park this morning. Yesterday Bill travelled to the school. Yesterday Fred travelled to the bedroom. | Fred before the park was in the cinema. | 0not-entailed
| babi_nli/time-reasoning |
Daniel moved to the kitchen. Sandra went to the kitchen. | Daniel is in the office. | 0not-entailed
| babi_nli/single-supporting-fact |
Mary took the football there. Sandra took the apple there. Mary discarded the football. Sandra got the milk there. Daniel travelled to the garden. John journeyed to the bathroom. Sandra left the milk there. Daniel went back to the bathroom. Sandra left the apple. Sandra picked up the apple there. Sandra put down the apple. Mary journeyed to the kitchen. Sandra grabbed the milk there. Sandra dropped the milk. Sandra moved to the kitchen. John went to the kitchen. Daniel went to the hallway. John journeyed to the garden. Mary journeyed to the office. Sandra travelled to the office. John went to the bathroom. John journeyed to the office. Daniel went to the kitchen. John moved to the kitchen. Daniel went back to the hallway. John journeyed to the garden. Daniel grabbed the football there. Mary moved to the bathroom. Sandra went back to the hallway. Daniel went back to the kitchen. | The football is in the garden. | 0not-entailed
| babi_nli/two-supporting-facts |
John journeyed to the office. Daniel took the milk there. | There are none objects is Daniel carrying. | 0not-entailed
| babi_nli/counting |
The box is bigger than the container. The chocolate fits inside the suitcase. The box is bigger than the container. The container fits inside the box. The chest is bigger than the container. The container is bigger than the box of chocolates. The box of chocolates is bigger than the chocolate. The box of chocolates fits inside the box. The container is bigger than the suitcase. The box is bigger than the box of chocolates. | The chocolate fit in the container. | 1entailed
| babi_nli/size-reasoning |
John went back to the hallway. Daniel travelled to the hallway. Daniel picked up the milk there. Daniel left the milk. Daniel went to the bedroom. Daniel went back to the hallway. | Daniel is in the hallway. | 1entailed
| babi_nli/yes-no-questions |
Greg is a swan. Bernhard is a frog. Julius is a swan. Bernhard is yellow. Lily is a frog. Brian is a lion. Brian is white. Julius is green. Lily is yellow. | Greg is yellow. | 0not-entailed
| babi_nli/basic-induction |
John went to the office. Following that he moved to the garden. | John is in the office. | 0not-entailed
| babi_nli/basic-coreference |
The office is east of the kitchen. The kitchen is east of the bedroom. | The kitchen west of is bedroom. | 0not-entailed
| babi_nli/two-arg-relations |
Sadie heard that the net - surfing bandits always ended an operation by clearing out the cash | Sadie heard a pun | 1entailed
| recast/recast_puns |
Jennifer showed Christina to volp. | Someone did not change their thoughts, feelings, or beliefs . | 1entailed
| recast/recast_verbcorner |
Heather cabled when to send the package . | Heather transferred information . | 1entailed
| recast/recast_verbnet |
We had a large party , about fifty people or so , and yet everything was served quickly and we all had a wonderful time . | The serving happened | 1entailed
| recast/recast_factuality |
Mr. da Silva has pledged to increase Brazil 's growth to five percent . | Silva is a famous person | 1entailed
| recast/recast_ner |
a particular person claimed to do a particular thing . | that person did that thing . | 1entailed
| recast/recast_megaveridicality |
When asked about the restaurant , Zane said , 'This place is pretty good , nice little vibe in the restaurant . ' . | Zane liked the restaurant . | 1entailed
| recast/recast_sentiment |
Jayden entered the attic. Avery entered the attic. The melon is in the blue bathtub. Jayden exited the attic. Avery moved the melon to the blue drawer. Ella entered the attic. Avery exited the attic. Ella exited the attic. Jayden entered the attic. | The melon at the beginning was in the blue bathtub. | 0not-entailed
| tomi-nli |
Educational Theorist: Recent editorials have called for limits on the amount of homework assigned to children. They point out that free-time activities play an important role in childhood development and that large amounts of homework reduce children' s free time, hindering their development. But the average homework time for a ten year old, for example, is little more than 30 minutes per night. Clearly, ttherefore, there is no need to impose the limits these editorials are calling for. | In most schools, if not all, the homework assignments given are of a length that does not diverge widely from the average is an assumption on which the educational theorist's argument relies. | 1entailed
| logiqa-2.0-nli |
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