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Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Example Input: Fact: when a river floods, that river deposits silicate minerals in flood plains.
Example Output: what does a river deposit into flood plains when it floods?
Example Input: Fact: Cynodonts became therapsids as they continued to evolve.
Example Output: Cynodonts became what as they continued to evolve?
Example Input: Fact: precipitation is essential for life on earth.
Example Output:
|
What is essential for life on earth?
| 3
|
NIv2
|
task040_qasc_question_generation
|
fs_opt
|
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] |
Teacher: In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Perform the operations in order, i.e., do not concatenate the elements and then reverse the string.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1, 3, ['238', 'h', '92', 'U', '2799']
Solution: 92h238
Reason: Here, concatenating all the elements between the 1st element and 3rd element in reverse order gives '92h238'.
Now, solve this instance: 1, 3, ['m', '1925', '5297', '3265', '767', 'f', '5585', 'j', '6133', '9681']
Student:
|
52971925m
| 2
|
NIv2
|
task101_reverse_and_concatenate_all_elements_from_index_i_to_j
|
fs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Como dijo un preso de una UGC, "" No somos torturados aquí, salvo psicológicamente "".
|
آنطور که یک زندانی در CMU می گفت ، "ما در اینجا شکنجه نمی شویم ، مگر به صورت روانی."
| 0
|
NIv2
|
task1103_ted_translation_es_fa
|
zs_opt
|
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] |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
彼は、大統領選挙戦の間、9月6日に重病になった。
Ex Output:
เขามีอาการป่วยอย่างรุนแรงเมื่อวันที่6กันยายน ในระหว่างการหาเสียงเลือกตั้งเป็นประธานาธิบดี
Ex Input:
兵士は銃弾を発射し、それは17歳の運転手を貫通し、少年を殺害した。
Ex Output:
ทหารผู้หนึ่งยิงกระสุนนัดเดียวผ่านเข้าที่ผ่านคนขับวัยรุ่นวัย 17 ปีและไปโดนเด็กคนดังกล่าวจนเสียชีวืต
Ex Input:
その後すぐに、ベルが初めてのワン・デイ100点に達して、126点のアウトなしで回を終えた。
Ex Output:
|
หลังจากนั้นไม่นาน Bell ก็ไปถึง One-day century และปิดอินนิ่งไปด้วยคะแนน 126 โดยไม่เอ้าท์
| 1
|
NIv2
|
task1127_alt_ja_th_translation
|
fs_opt
|
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] |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Ex Input:
Question: A boat can travel with a speed of 25km/hr in still water. If the speed of the stream is 5km/hr, find the time taken by the boat to go 120km downstream.
Option A: 1 hr
Option B: 2 hrs
Option C: 3 hrs
Option D: 4 hrs
Option E: 5 hrs
Ex Output:
Option D
Ex Input:
Question: The cost price of a radio is Rs.1500 and it was sold for Rs.1230, find the loss %?
Option A: 18%
Option B: 19%
Option C: 28%
Option D: 38%
Option E: 16%
Ex Output:
Option A
Ex Input:
Question: A man purchases 2 pens for $ 56. He sells one at 20% profit and the other at a loss of 15%. He neither gains nor loses on the whole. Thus, the cost price of two watches are :
Option A: $ 24 and $ 32
Option B: $32 and $ 24
Option C: $56and $32
Option D: $56 and $24
Option E: $32 and $ 56
Ex Output:
|
Option A
| 1
|
NIv2
|
task750_aqua_multiple_choice_answering
|
fs_opt
|
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] |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Example input: Sentence1: pesticides cause pollution.
Sentence2: pollution can harm animals.
Example output: pollution.
Example explanation: The word "pollution" is common to Sentence1 and Sentence2. So, it's a good answer.
Q: Sentence1: Supersaturation is inferred to be a common state for atmospheric haze particles.
Sentence2: haze decreases the temperature by blocking the sun.
A:
|
haze
| 3
|
NIv2
|
task039_qasc_find_overlapping_words
|
fs_opt
|
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Detailed Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
See one example below:
Problem: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving., Question: How old is Will Hunting in the movie ?
Solution: Answer: Twenty years
Explanation: This is a good example which results in a factoid answer.
Problem: Su Can is a general who leads a military force to save a prince from a large fortress of enemies in the mountains. In return, the prince promises that the Emperor will make him governor of Hu Bei. Su's step brother Yuan is envious of Su, but Su loves him and asks the prince to make Yuan governor instead. Su wants to leave the military and lead a life pursuing the perfection of Wu Shu, eventually in the hopes of starting his school and teaching his skills. Su gives his great prestigious sword to a comrade Ma, then tells Yuan of his plans. Yuan expresses that he is always in Su's shadow but accepts the governorship. Early next morning, Su leaves on a horse.Five years later, Su and his wife Ying (Yuan's sister) have a child, Feng. Su's father informs them that Yuan is returning from the military to be a governor. He warns Su that Yuan may not have come back simply to reconcile with family but to seek revenge. This is because years ago, Su's father killed Yuan's father when the latter went too far in learning an evil martial arts technique called the Five Venom Fists. Su's father then took Yuan in, but he harbours concern that Yuan is still vengeful. Su is naive and assures his father that everything will be alright.When Yuan returns, a homecoming party is held. Yuan greets his sister Ying, Feng, and Su's father. Su's father knows what is impending and asks Yuan to take his revenge on him alone, sparing Su and his family. Using his mastery of the Five Venom Fists, Yuan kills Su's father and decapitates him. He expresses his desire to be with his sister (Ying) and her son Feng as a family. When Su hears the news of his father's murder, he rushes to the scene of his father's death and is attacked by the Iron Twins. He chases them to a rapid where Yuan is offering Su's father's head to his real father as a symbol of revenge taken. A battle ensues between Yuan and Su. Yuan has a dark armour sewn into his body, making him partially invulnerable to blades. Using his Five Venom Fists, Yuan deals a deadly poisonous blow to Su who is defeated. Feng begs for Su's life and Yuan spares him but throws him into the rapids. Ying jumps into the rapid to save Su and Yuan is heartbroken at the loss of his beloved sister. He takes Feng in as his only family.Ying awakes in forest area and tries to bring her husband to civilization and safety. They are found by a herb researcher and wine maker, Sister Yu, who treats Su's wounds. Su comes to consciousness but is broken to find his right arm severely weakened with all tendons torn. At first, he is desperate and turns to drinking, but with Ying's support, he focuses on training in order to save Feng. He meets Wu Shu God and an old sage and asks to be their disciple. At a sacred site, he trains with the Wu Shu God for years, always trying to defeat him but never able to. Later, by checking Su's pulse, Dr. Du reveals to Ying that Su is going mad and that there is probably no Wu Shu God or Old Sage since she is the only one living in the area. Ying follows Su into the forest one day and finds him fighting (seemingly) with himself, oblivious to the fact that he is only battling with the Wu Shu God in his mind. Ying pleads with Su to come to his senses but he does not believe her. By the time Su realizes the truth, it is too late. Ying has left to try to save Feng by herself.At Yuan's palace, Ying is now a captive of Yuan. Su arrives shortly after and fights his way through the guards. He also battles the Iron Twins and with his improved skills, impales both on a podao, a saber like spear. Yuan orders his men to bury Ying alive in a box and then kills the men who buried her so that only he knows her location. A crazed Su battles with Yuan in his training chamber and ultimately defeats him, even gnashing though a poisonous snake in the process. Feng screams that Yuan must not die because only he knows Ying's location, but a maddened Su delivers a fatal blow to Yuan's throat, thus executing him in anger. Realizing the words of Feng, he rushes out and a dying soldier reveals the vague location of Ying. Su and Feng rush to search for her but are too late digging her out. Ying dies from lack of air, and Su goes mad with grief.The era changes from the dynastic to the colonized. Su has lost his mind after the loss of his wife and the previous delusions he had. A homeless Feng leads his father through the streets by rope and takes care of him. A Kung Fu master is killed in a fighting arena - part of a foreigners' club - leaving Su's old friend, Ma, as leader of the Wu Shu Federation. The arena is a stage below which tigers lurk freely, waiting for any unfortunate fighter to drop below.In the meantime, Su goes into an inn and creates trouble by stealing wine and countering people bent on stopping him with martial art moves. He then meets a fellow drunkard (the Wu Shu God in disguise) who spars with him and gives him a few philosophical tips. The two of them start using Drunken Fighting (Zui Quan) techniques, and Su regains his sanity. The inn lady calls Ma to deal with Su and Ma recognizes Su. They have a talk and Ma gives Su back his sword. Su asks Ma to take care of Feng since he is unfit to be a father but Feng persists, staying with his father instead.The next day, Su and Feng show up to support Ma in his arena battle. Su goes about drinking in the club's bar area, oblivious to Ma receiving a serious beating in the ring. When Feng tries to save Ma from being killed, the opposing wrestler grabs Feng and holds him in the air. Feng screams for help from his father. His son's cries awake Su from his drunken state and Su rushes into the arena. As Ma and Feng are being taken out of the arena by bystanders, Su battles and defeats the wrestler. Anthony, owner of a wrestling stable, orders his lot to pour into the arena, resulting in a mismatch of three wrestlers to one (Su). Using the drunken martial arts technique learned from his fellow drunkard in the inn, Su's defeats the fighters although he is heavily injured. At the end of the battle, the other fighters are either dead or unconscious, and only after a vision of Ying and the dramatic cries of Feng in an otherwise silenced arena, does a semi-conscious Su manage to stand up. He is declared the winner.The film ends with a seemingly restored Su practising his moves of old but with long hair reminiscent of the insane period of his life, with Feng observing. Su has seemingly found his passion., Question: What does Su do when he goes in the Inn?
Solution:
|
Answer: creates trouble by stealing wine and countering people
| 4
|
NIv2
|
task194_duorc_answer_generation
|
fs_opt
|
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] |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Teacher: Now, understand the problem? Solve this instance: Person1: How often do you use the internet ?
Person2: I use it almost every day , but I usually only use it to check my email . I don ’ t often surf the net . You use the internet a lot , don ’ t you ?
Person1: Yes . I use it to find products and components at the lowest price for my company . It can be frustrating when the connection is poor .
Person2: So , you ’ re online eight hours a day .
Person1: Yes , I like the job though . Sometimes , I help other people in the office if they ’ re having trouble online .
Person2: How useful do you think the internet is as a source of information ?
Person1: I think it ’ s fairly useful , but there are two big problems . First , a lot of the information you find online is false . Second , when you buy something online , you don ’ t see it until you actually get it .
Person2: How do you solve the website problems when you ’ re buying something online ?
Person1: What I do is find the website of shops . Then someone from our company visits the shop and buys when they ’ re seen that the products are genuine and suitable .
Student:
|
No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
| 6
|
NIv2
|
task1532_daily_dialog_emotion_classification
|
zs_opt
|
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Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
--------
Question: The European Union has said "sufficient progress" has to be made on the Irish border before negotiations on the UK and EU's future relationship can begin. Phil Hogan told the Observer staying in the customs union would avoid the need for a hard border on the island. The DUP said Northern Ireland and the rest of the UK must not be different. Arlene Foster, the leader of the Democratic Unionist Party, which is in a confidence-and-supply arrangement with the Conservative government, said she would not support "any suggestion that Northern Ireland, unlike the rest of the UK, will have to mirror European regulations". Downing Street has said the whole of the UK will leave both the customs union and the single market when it leaves the EU in 2019. Labour said nothing should be done that endangers the Good Friday Agreement in Northern Ireland, while the Liberal Democrats said Tory divisions over Brexit were "stoking tensions". 'Blind faith' The EU has given Prime Minister Theresa May until 4 December to come up with further proposals on issues including the border, the Brexit divorce bill and citizens' rights, if European leaders are to agree to moving on to trade talks. But Mr Hogan, the EU's agriculture commissioner, accused some in the British government of having what he called a "blind faith" about securing a comprehensive free trade deal after Brexit. He said it was a "very simple fact" that "if the UK or Northern Ireland remained in the EU customs union, or better still the single market, there would be no border issue". In these circumstances regulations either side of the border would remain the same, and so a near invisible border would be possible. The Irish government has always insisted there must not be a hard border between the Republic and Northern Ireland, with Taoiseach Leo Varadkar saying he must have written assurance from the UK before Brexit talks can move on. Irish Foreign Minister Simon Coveney has also said the UK's desire for no hard-border on the island of Ireland was "aspirational". There could be no movement to phase two "on the basis of aspiration", he said. But in her speech in Florence, this September, Mrs May restated that both the UK and EU will not accept any physical infrastructure at the border. 'Desperately worried' Meanwhile, International Trade Secretary Liam Fox told Sky News: "We don't want there to be a hard border but the United Kingdom is going to be leaving the single market and customs union." He said progress towards a deal must be quicker and accused EU negotiators of making the so-called "divorce bill" a sticking point, adding: "We can't get a final answer to the Irish question until we get an idea of the end state." Shadow international trade secretary Barry Gardiner told the BBC's Andrew Marr Show that the Irish government was "desperately worried" about the possibility of a hard border. He said Labour had not ruled out advocating membership of the single market or, if necessary, some form of customs union. But he declined to commit to a preferred solution, arguing that Labour was not in government and therefore not involved in the Brexit talks. "I'd be very happy if Theresa May wanted to move over and call that election and let us do that, but until we're round that table it's not sensible to say what you can get out of the negotiations," he said. Liberal Democrat Brexit spokesman Tom Brake said: "Government divisions over what Brexit means are stoking tensions. The government and its Brextremists must swallow their pride and do the right thing for Ireland and the UK. "Leaving the EU does not have to mean leaving the single market and customs union." Suggestions for alternate arrangements have included a new partnership that would "align" customs approaches between the UK and the EU, resulting in "no customs border at all between the UK and Ireland".
Answer: Brexit: Ireland 'to play tough' over talks - commissioner
Question: It alleges that Apple made "false, misleading, or deceptive representations" about consumers' rights under Australian law. The case follows complaints that users were "routinely refused" repairs after an error disabled their devices. Apple did not immediately respond to the BBC's request for comment. The Australian Competition and Consumer Commission (ACCC) began an investigation after users complained about Apple's so-called "error 53", which disabled some users' devices after they downloaded an update to their operating system. Many had previously had their device fixed by a third party, not an official Apple technician, often to replace a cracked screen. In many cases, Apple refused to fix the devices, even when the repair was unrelated to the fault, the ACCC said. The proceedings against Apple were brought on behalf of 275 consumers. ACCC chairman Rod Sims said: "Consumer guarantee rights under the Australian Consumer Law exist independently of any manufacturer's warranty and are not extinguished simply because a consumer has goods repaired by a third party." He added: "Denying a consumer their consumer guarantee rights simply because they had chosen a third party repairer not only impacts those consumers but can dissuade other customers from making informed choices about their repair options including where they may be offered at lower cost than the manufacturer." He also reminded businesses that consumer rights extended to "any software or software updates" loaded onto those goods. Breaches of Australian Consumer Law can result in fines of up to A$1.1m (£667,000). In February 2016, Apple apologised over similar claims and issued a fix for error 53. Some users found that their iPhone stopped working following servicing by a non-Apple technician and saw an "error 53" message in iTunes. Apple said the error occurred when a device failed a standard security test designed to ensure that the Touch ID fingerprint scanner was working correctly.
Answer: Apple taken to court for 'refusing to fix devices'
Question: By Alice EvansBBC News, London You're in denial. According to the sustainability charity Wrap, efforts to reduce edible waste have done nothing to decrease the estimated 10 million tonnes of food that has been binned every year since 2012. That's enough loaves of bread almost to fill Wembley Stadium; enough milk to fill 230 Olympic-sized swimming pools; and the weight of 365 blue whales in bananas alone. Food waste within homes accounted for more than 70% of this. In a recent survey by Wrap, 59% of people said they jettison no - or barely any - food. Helen White, from the organisation, is sceptical. As she says, it's coming from somewhere. And although she's "certainly not asking anybody to eat eggshells, suck teabags or chew on orange peel", she is asking us to commit to small changes that can make a big difference. Here are some people who are already pulling their weight when it comes to reducing food waste. A hearty app-etite If fresh food at shops, cafes, restaurants and street stalls isn't sold, what happens to it? Some donate uneaten sandwiches and the like to charities - but the greater proportion is thrown in the bin. Enter a pair of millennials and their smartphones. Jamie Crummie and his best friend Chris Wilson are behind an app called Too Good To Go, which enables users across the country to buy cut-price meals at the end of trading time. The two entrepreneurs, who met while studying at the University of Leeds, don't see it as just a money-spinner - in fact, Mr Crummie says the ideal goal would be to go out of business because they've raised so much awareness that there is no more food waste. "People are already eating at these places, so why not do something awesome at the same time and rescue a meal that would have been wasted?" asks Mr Crummie. The pair, who teamed up with some like-minded Danish friends to launch the app, have an ambition of eradicating the almost one million tonnes of waste produced by the food and hospitality industry every year - which has a value of more than £1.5bn. "The app is a no-brainer," said Sean Robinson, one of more than 300,000 people to download Too Good To Go since it came to the UK in 2016. Mr Robinson, 30, regularly leaves Sesame Salad Bar in Leeds with a takeaway box full of the shop's leftovers for just £2.70 - less than half the price of a peak-time portion. "It's good for me as well as the customer," said the owner and manager, Ali Felan. "When I don't have to throw food away, it makes me happy. I appreciate the app, I love it." One potential downside is that people have to wait until closing time to eat their meal - although as another user of the app, 26-year-old Jen Wilson, points out, not everybody still has traditional office lunch hours. "The timings are strange but later tends to work better for me." Top grub A group of scientists believe they could be on the brink of revolutionising the food chain - and that the answer to beating food waste lies (or rather flies) with insects. During their times as undergraduates at the University of Cambridge, Matt McLaren and his friends Joe Halstead, Miha Pipan and Fotis Fotiadis realised there was something special about the larvae of the black soldier fly. The larvae of the insect - Hermetia illucens - have voracious appetites and their digestive systems convert food waste efficiently into useful fats and proteins. In turn, these larvae can be used as cheap, nutrient-rich food on salmon farms. The 10 million tonnes of food we waste each year is linked to the release of millions of litres of greenhouse gas. But the process the young graduates have developed could help reduce these emissions and cut waste. At the moment, the progress of the team's company, Entomics, is restricted by food safety laws. Farmed animals - including salmon - cannot be fed with insects that have eaten manure, even though technically insects can process it. "There's a lot of promise but really it's a very difficult regulatory issue," Entomics CEO Mr McLaren explains. The team is therefore using "safer" sources of food for the insects in their research, such as rotting and mouldy vegetables from factories and supermarkets. They have also secured a government grant for £890,000 to conduct more salmon trials with the University of Stirling. "It just shows there's huge promise here," says Mr McLaren, who hopes to find a "truly sustainable animal feed alternative". He thinks there's even a chance humans might one day eat animals that have been fed up with insects that in turn feasted on manure and rotting meat. He said this kind of breakthrough would be a "game changer" in the battle against food waste. Giving peas a chance Riverford Organic Farmers has gone from being "one man and a wheelbarrow" to supplying organic vegetables to tens of thousands of homes each week. Guy Singh-Watson started growing organic veg on his family farm in Buckfastleigh, Devon, in 1986. A few bumper crops later and the entrepreneur had gone from selling carrots out of the back of his car to supplying Sainsbury's and Waitrose. But something about the business of supplying food started to smell a bit rotten for the eco-friendly farmer. "I got very upset seeing our lettuces on the shelves, looking pretty old and tired," the 57-year-old says. "They were over-packaged and wasted. You have to grow an excess to meet the demand." So Mr Singh-Watson took matters back into his own hands, cutting ties with supermarkets to slash his waste from an estimated 50% to just 2%. Any leftovers from Riverford's veg box scheme can be used in their restaurants or cafes, or in the staff canteen, and employees can take as much surplus as they like home with them. Food is also donated to local charities and food banks. The rest is given to the cows on the farms, apart from leeks, garlic and onions, which are composted instead - because if the cows eat them "they make the milk taste a bit funny". But Mr Singh-Watson worries about the sustainability of other parts of his business, which delivers 47,000 veg boxes across England and Wales every week. Competitors such as Amazon Fresh and home delivery from supermarkets mean consumers are becoming impatient with Riverford's delivery policy, which sees customers' postcodes determine the time and date of their delivery. Mr Singh-Watson - who says his staff make up to eight times as many deliveries per mile than supermarkets that have specific time slots - admits he is being "pushed" towards making deliveries more flexible. But the farmer, who sees such a move as an "environmental disaster", said: "We'll hold out as long as we can." If life gives you apples... On a cold, rainy day in Brockwell Park, south London, Kath Rosen and her family paint a colourful picture. Brandishing brightly coloured homemade instruments, they are here with a dozen others to take part in the annual "wassail" - an ancient tradition to ensure a good apple harvest. "We do lots of banging of pots and make noise to drive the bad spirits out of the tree, and then we pour some cider on the ground and hang bread in the tree to bring the robins, which are associated with fertility," Ms Rosen explains. Behind this ancient ritual is a true food waste warrior. Ms Rosen, 43, is co-CEO of the Orchard Project, a charity dedicated to the creation and restoration of community orchards. Perhaps surprisingly, there are plenty in London. But when you consider the definition of an orchard is "a group of at least five fruit and nut trees planted on vigorous rootstocks at low densities in permanent grassland" the situation becomes clearer. These aren't in the rolling hills of the Kent countryside, but nonetheless London has a strong orchard heritage, as evidenced by place names such as Perivale (pear tree valley) and Plumstead (place of plum trees). Last autumn the project harvested seven tonnes of apples from the capital's orchards, using the fruit to make juice and cider at a workshop in Herne Hill. But, as Ms Rosen points out, that was only "the tip of the iceberg" "There's so much more fruit in cities which is just left to rot."
Answer:
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Stopping the rot: Meet the waste warriors
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Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the problem? Solve this instance: which country won the maximum number of gold medals at the london olympics 2012
Student:
|
United States
| 6
|
NIv2
|
task582_naturalquestion_answer_generation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
克里斯伊根(尼克史密斯)与他的家人在夏日湾安顿下来,他和邓肯很快成为朋友并陷入各种危机。
|
尼克史密斯(克里斯伊根)与他的家人在夏日湾定居,他和邓肯很快成为朋友并陷入各种各样的伤害。
| 5
|
NIv2
|
task775_pawsx_chinese_text_modification
|
zs_opt
|
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] |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Example input: Context: Jake was frustrated from work.
Sentence: He decided to go for a walk at night.
Character: Jack
Example output: to have fun
Example explanation: Jack was frustrated from work; so, little walk at night can refresh his mood and he can have fun.
Q: Context: The other night I had trouble falling asleep.
Sentence: I tossed and turned for hours!
Character: I (myself)
A:
|
None
| 3
|
NIv2
|
task294_storycommonsense_motiv_text_generation
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Comets, Asteroids and Planets around a Nearby Star (SPACE.com) SPACE.com - A nearby star thought to harbor comets and asteroids now appears to be home to planets, too. The presumed worlds are smaller than Jupiter and could be as tiny as Pluto, new observations suggest.
Solution: Sci/Tech
Why? The topic of the news article is relevant to science(astronomy). Hence, the label is 'Sci/Tech'.
New input: Drought and Hunger Add to Darfur #39;s Woes Sudans Darfur region, already engulfed in a conflict that has forced 1.8 million people to flee their homes, now faces a new threat from drought which is drying up wells and could lead to widespread hunger next year, the top US aid official says.
Solution:
|
World
| 0
|
NIv2
|
task379_agnews_topic_classification
|
fs_opt
|
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] |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: The integration of ideas, or smaller cultures into a larger culture is called?, Context: The American people are mostly multi-ethnic descendants of various culturally distinct immigrant groups, many of which have now developed nations. Some consider themselves multiracial, while acknowledging race as a social construct. Creolization, assimilation and integration have been continuing processes. The African-American Civil Rights Movement (1955–1968) and other social movements since the mid-twentieth century worked to achieve social justice and equal enforcement of civil rights under the constitution for all ethnicities. In the 2000s, less than 5% of the population identified as multiracial. In many instances, mixed racial ancestry is so far back in an individual's family history (for instance, before the Civil War or earlier), that it does not affect more recent ethnic and cultural identification.
A:
|
assimilation
| 4
|
NIv2
|
task1295_adversarial_qa_question_answering
|
zs_opt
|
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Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Q: I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT
A:
|
run right thrice and turn around right thrice
| 4
|
NIv2
|
task129_scan_long_text_generation_action_command_short
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
What's the most common name in nursery rhymes ?
Solution: Person
Why? This question is about people's names. So, the output should be "Person".
New input: When did the vesuvius last erupt ?
Solution:
|
Quantity
| 0
|
NIv2
|
task1289_trec_classification
|
fs_opt
|
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] |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Q: Question: what was adolf's father's profession and economic status?
A:
|
what was adolf hitler's fathers profession?
| 4
|
NIv2
|
task442_com_qa_paraphrase_question_generation
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
One example: E eu continuo a pensar que o transporte é o centro deste universo.
Solution is here: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: CA: E então, o que é que fizeste? Como é que realizaste isso?
Solution:
|
ک.ا.: خوب چی کار کردی ؟ چطوری ساختیش ؟
| 6
|
NIv2
|
task1282_ted_translation_pt_fa
|
fs_opt
|
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] |
Detailed Instructions: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
See one example below:
Problem: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Solution: ten
Explanation: Snakes give birth to minimum ten young ones so ten is a correct answer.
Problem: Holograms are apparent images with ____ dimensional structure.
Solution:
|
three
| 4
|
NIv2
|
task1359_numer_sense_answer_generation
|
fs_opt
|
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] |
instruction:
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
question:
Context: Ash was very open with their friends and was always will to express feelings.
Question: What will Ash want to do next?
Options: (A) express affection (B) wanted to be honest with their friends (C) be secretive
answer:
B
question:
Context: On her first day on the job, Aubrey was assigned the role of removing seeds from the plants.
Question: Why did Aubrey do this?
Options: (A) a good worker (B) put the seeds away (C) check the flowers
answer:
A
question:
Context: Riley led Quinn astray joking around with them.
Question: How would Riley feel afterwards?
Options: (A) sent in the wrong direction (B) Like they were clever (C) lead astray
answer:
|
B
| 9
|
NIv2
|
task580_socialiqa_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
See one example below:
Problem: 6, 14, ['9545', '5185', '1667', 'w', 's', '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', '7103', 'A', '2381', '5037', 'X', '4487', 'd']
Solution: 9559TuU6843Ll63657103
Explanation: Here, concatenating all the elements between the 6th element and 14th element gives '9559TuU6843Ll63657103'.
Problem: 10, 12, ['M', '8291', 'X', 'J', 'q', 'K', '7163', '2927', 'N', '5965', 'G', '7673', '9703', '3673', '8023']
Solution:
|
5965G7673
| 4
|
NIv2
|
task100_concatenate_all_elements_from_index_i_to_j
|
fs_opt
|
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] |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
[EX Q]: Mix and bake in 2 small loaf pans at 350° until toothpick comes out clean.
[EX A]: flour, sugar, eggs, oil, water, vanilla, raisins, walnuts, soda, pumpkin, salt, pumpkin pie spice
[EX Q]: Fish:, Combine first 6 ingredients in a large ziploc bag. Add swordfish steaks. Refrigerate for 1-3 hours, turning a few times., To cook, place fish on a preheated broiler pan. Broil 5-6 minutes on each side or until fish flakes easily when tested with a fork., You may also barbeque this. If you do brush it with the marinade often., Serve hot with avocado butter, lemon wedges and fresh parsley sprigs., Avocado Butter:, In a small mixing bowl beat butter with an electric mixer until soft and creamy. Beat in remaining ingredients., Place in a decorative dish and refrigerate until firm and ready to use. A melon baller works great to scoop out balls to place on the hot fish.
[EX A]: soy sauce, lemon peel, lemon juice, garlic, mustard, salad oil, swordfish, lemon wedge, parsley, Avocado Butter, butter, avocado, lemon juice, fresh parsley, Worcestershire sauce, garlic salt
[EX Q]: Preheat the oven to 190C/375F/Gas Mark 1., Peel the apples without removing the stalks rubbing immediately with lemon juice to prevent browning., Place in a pie dish which will allow sufficient room for the blackberries later., Sprinkle the apples with 3 tbsp of the muscovado sugar then smear each one with butter cover with foil and bake in the oven for about 30 min till nearly cooked but not collapsing., Remove the foil and leave in their dish to cold to room temperature., Meanwhile mix the blackberries with the remaining sugar then make the pastry., Put the flour in a large bowl make a well in the huddle tip in the butter and put the sugar and egg yolks on top., Using a fork mash the yolks butter and sugar together then start mashing the flour into this., Use your hands to mix everything together then knead on a work surface for about 30 seconds to make a smooth dough., (Alternatively blend the pastry ingredients to a dough in a food processor.), Wrap in clingfilm and chill for about 20 min., On a smooth surface dusted with flour roll out the pastry to about 5mm thick., Cut out a rough shape which's bigger than the top of the pie dish., Then cut some thin strips from the remaining rolled dough and press them around the rim of the dish this will help make a perfect seal between the dish and the pastry topping., Next using a ring cutter cut out six circles each slightly smaller than the apples then arrange the apples in the pie dish where you think the holes will tall once the pastry is placed on top., Spoon the sugared blackberries around the apples packing them down., Now dampen the pastrylined rim with a finger dunked in water and place the pastry over the top., Jiggle the apples slightly so which they peek through the holes then lightly press the pastry cover onto the rim., Preheat the oven to 220C/425F/Gas Mark 7., Sprinkle the pastry top with granulated brown sugar and bake for about 10 min then turn down to 190C/375F/Gas Mark 5 and cook for a futher 1 520 min or possibly till the pastry looks lightly browned., Serve hot with lots of double cream., Serves 4
[EX A]:
|
eating apples, sugar, butter, cream, flour, butter, range medium
| 6
|
NIv2
|
task571_recipe_nlg_ner_generation
|
fs_opt
|
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] |
Teacher: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[5, 8, 9, 3, 7]
Solution: [22, 2.0, 38, 14, 30]
Reason: The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4.
Now, solve this instance: [11, 41, -15, 64, -15, 80]
Student:
|
[46, 166, -58, 16.0, -58, 20.0]
| 2
|
NIv2
|
task368_synthetic_even_or_odd_calculation
|
fs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
[EX Q]: Algunos todavía dudan de que tenemos la voluntad de actuar, y digo, la voluntad de actuar es en sí misma un recurso renovable.
[EX A]: Niektórzy nadal wątpią, że mamy wolę działania, ale według mnie, wola działania jest też źródłem odnawialnym.
[EX Q]: El temor de perder empleos por la tecnología ha existido desde hace mucho.
[EX A]: Strach przed utratą pracy
[EX Q]: Esto es un águlo recto, perfecto, hecho por la naturaleza.
[EX A]:
|
Jest to doskonały, stworzony przez naturę, kąt prosty.
| 6
|
NIv2
|
task1102_ted_translation_es_pl
|
fs_opt
|
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] |
Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Input: Sentence1: 'a baseball player is getting ready to pitch a ball', Sentence2: 'a photograph of a person sitting on a toilet seat'. Is the frequency of the word 'baseball' in two sentences equal?
Output:
|
No
| 3
|
NIv2
|
task159_check_frequency_of_words_in_sentence_pair
|
zs_opt
|
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] |
Teacher:A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: भारतीय क्रीडा प्राधिकरण ( साई) आणि जपानचे सुकुबा विद्यापीठ यांच्यात शैक्षणिक आदान प्रदान आणि क्रीडा सहकार्य
Student:
|
اسپورٹس اتھارٹی آف انڈیا ( ایس اے آئی ) بھارت اور یونیورسٹی آف سکووا ، جاپان کے مابین مفاہمتی عرضداشت ، جس کا تعلق تعلیمی تبادلوں اور کھیل کود کے شعبے میں تعاون سے ہے ۔
| 6
|
NIv2
|
task989_pib_translation_marathi_urdu
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[69, 158, 1, 166, 62]
Output:
|
[208, 79, 4, 83, 31]
| 1
|
NIv2
|
task206_collatz_conjecture
|
zs_opt
|
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] |
Q: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
OBJECTIVE To test the validity of age at menarche self-reported in adulthood and examine whether socioeconomic position, education, experience of gynaecological events and psychological symptoms influence the accuracy of recall.
DESIGN Prospective birth cohort study.
SETTING England, Scotland and Wales.
PARTICIPANTS 1050 women from the Medical Research Council National Survey of Health and Development, with two measures of age at menarche, one recorded in adolescence and the other self-reported at age 48 years.
RESULTS By calculating the limits of agreement, kappa statistic and Pearson's correlation coefficients (r), we found that the validity of age at menarche self-reported in middle age compared with that recorded in adolescence was moderate (kappa = 0.35, r = 0.66, n = 1050). Validity was improved by categorising age at menarche into three groups: early, normal and late (kappa = 0.43). Agreement was influenced by educational level and having had a stillbirth or miscarriage.
CONCLUSIONS The level of validity shown in this study throws some doubt on whether it is justifiable to use age at menarche self-reported in middle age. It is likely to introduce error and bias, and researchers should be aware of these limitations and use such measures with caution.
A:
|
Validity of age at menarche self-reported in adulthood.
| 7
|
NIv2
|
task1586_scifact_title_generation
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Una lingua può aiutare nell'arte di baciare.
Output:
|
Una volpe può possedere nell'arte di baciare.
| 1
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
zs_opt
|
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] |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.
[Q]: রানু মন্ডল জানে না উপরের দিকে উঠতে গেলে একটা মই বা সিড়ির দরকার সেইটা ছিলেন অতিন্দ্র দা, এত বড় বেইমান ওর গান শোনা তো দূরের কথা মুখ দেখাও পাপ
[A]: personal
[Q]: ভারতের ট্রেন সার্ভিস যেন ভারতীয় নাগরিকদের মৃত্যুফাদ হয়ে ওঠেছে কিছুদিন পর পরই দুর্ঘটনার খবর পাওয়া যায়।
[A]: non-personal
[Q]: সানি লিওনির ন্যাংটো ফিল্ম কিংবা এডাল্ট মুভি দেখানোর আগে ভারতের জাতীয় পতাকা উত্তোলন খারাপ কিছু না। জাতীয় বৈশিষ্ট্যের সাথে খাপে খাপ মিলে যাবে।
[A]:
|
non-personal
| 5
|
NIv2
|
task1490_bengali_personal_hate_speech_binary_classification
|
fs_opt
|
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] |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Bahasa Indonesia: Detil diberikan oleh Sekretaris Kementerian Transportasi UK, Ruth Kelly, di Dewan Perwakilan Rakyat kemarin 17:30 UTC.
Example solution: Yes
Example explanation: The converted Bahasa Indonesia sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Problem: Japanese: アメリカのLGBTメディアの様相はかなり、複合企業に近づいている。
Bahasa Indonesia: Sebagian besar lanskap media dari LGBT Amerika akan menjadi konglomerat.
|
Solution: Yes
| 5
|
NIv2
|
task1117_alt_ja_id_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Problem:Passage: Conversely, another rock genre, Britpop, emerged in part as a reaction against the dominance of grunge in the United Kingdom. In contrast to the dourness of grunge, Britpop was defined by "youthful exuberance and desire for recognition". The leading Britpop bands, "Blur and Oasis[,] exist[ed] as reactionary forces to [grunge's] eternal downcast glare." Britpop artists' new approach was inspired by Blur's tour of the United States in the spring of 1992. Justine Frischmann, formerly of Suede and leader of Elastica (and at the time in a relationship with Damon Albarn) explained, "Damon and I felt like we were in the thick of it at that point ... it occurred to us that Nirvana were out there, and people were very interested in American music, and there should be some sort of manifesto for the return of Britishness."Britpop artists were vocal about their disdain for grunge. In a 1993 NME interview, Damon Albarn of Britpop band Blur agreed with interviewer John Harris' assertion that Blur was an "anti-grunge band", and said, "Well, that's good. If punk was about getting rid of hippies, then I'm getting rid of grunge" (ironically Kurt Cobain once cited Blur as his favorite band). Noel Gallagher of Oasis, while a fan of Nirvana, wrote music that refuted the pessimistic nature of grunge. Gallagher noted in 2006 that the 1994 Oasis single "Live Forever" "was written in the middle of grunge and all that, and I remember Nirvana had a tune called 'I Hate Myself and I Want to Die,' and I was like ... 'Well, I'm not fucking having that.' As much as I fucking like him [Cobain] and all that shit, I'm not having that. I can't have people like that coming over here, on smack [heroin], fucking saying that they hate themselves and they wanna die. That's fucking rubbish.".
Question: What was the full name of the person that said "there should be some sort of manifesto for the return of Britishness"?
Solution:
|
Justine Frischmann.
| 8
|
NIv2
|
task002_quoref_answer_generation
|
zs_opt
|
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In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
One example: M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I stick with it. It's definitely worth time and effort., Question: What does the man suggest the woman do? (A) Consult her dancing teacher. (B) Take a more interesting class. (C) Continue her dancing class.
Solution is here: (C) Continue her dancing class.
Explanation: This is a good example. Based on the conversation, we could understand that only option (C) is correct.
Now, solve this: Woman: What are you reading, Bill? Man: It's this week New Scientist. Why? Woman: I was just wondering. It looks interesting. But I've never actually read myself. It's for real scientists, or can ordinary people like me understand it? Man: Always for anyone, really. It usually has articles or stories about current affairs about science, as well as papers about new development in research. I'm reading about new telephone that allows you to see the person you are speaking to as well as see him. Woman: Oh, I heard about it. Is it on the market yet? Can I buy one? Man: No. Not this one. But the company has made other models to try on business. This one is special because its color and image is moving. Woman: Oh, that's interesting. Man: You see the first video phones. That's what they are called. They made in Japan. But they can only show still black and white image. So this video phone is much better than that. Mind you, I'm not sure I want one, would you? Woman: Well, no, I don't think a word. I bet it costs a lot of money. Did it say how much it costs? Man: Yes. The yearly black and white one costs several hundreds pounds. But one in the story is about to cost several thousands pounds. Woman: Hmm, what does anybody want one, do you think? Man: Business organizations that need frequent contact overseas want it. It's like a face-to-face conversation, so maybe a lot of overseas travels can be avoided. Woman: Yes, I suppose so., Question: The following details are true about the new device EXCEPT (A) it has color (B) it has a moving image (C) it costs less money
Solution:
|
(C) it costs less money
| 6
|
NIv2
|
task247_dream_answer_generation
|
fs_opt
|
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] |
Teacher: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Teacher: Now, understand the problem? If you are still confused, see the following example:
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: a, 931, 13245
Reason: Here, every 3rd element from array are 'a', '931', and '13245'.
Now, solve this instance: 3, ['a', '5039', '1703', '7487', 'H', 'C', 's', '7335', '653', '1319', '6529', 'r']
Student:
|
a, 7487, s, 1319
| 2
|
NIv2
|
task1542_every_ith_element_from_starting
|
fs_opt
|
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] |
Part 1. Definition
In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
Part 2. Example
Passage: 'The size of a matrix is defined by the number of rows and columns that it contains. A matrix with m rows and n columns is called an m × n matrix or m-by-n matrix, while m and n are called its dimensions. For example, the matrix A above is a 3 × 2 matrix.'. Question: 'who came up with eating turkey on thanksgiving'.
Answer: False
Explanation: The passage does not mention anything about Thanksgiving turkeys so the passage does not answer the question. The output is 'False', so this is a good example.
Part 3. Exercise
Passage: 'The Suez Canal (Arabic: قناة السويس qanāt as-suwēs) is an artificial sea-level waterway in Egypt, connecting the Mediterranean Sea to the Red Sea through the Isthmus of Suez. Constructed by the Suez Canal Company between 1859 and 1869, it was officially opened on 17 November 1869. The canal offers watercraft a shorter journey between the North Atlantic and northern Indian Oceans via the Mediterranean and Red seas by avoiding the South Atlantic and southern Indian oceans, in turn reducing the journey by approximately 7,000 kilometres (4,300 mi). It extends from the northern terminus of Port Said to the southern terminus of Port Tewfik at the city of Suez. Its length is 193.30 km (120.11 mi), including its northern and southern access channels. In 2012, 17,225 vessels traversed the canal (average 47 per day).'. Question: 'who is the actor that plays the black panther'.
Answer:
|
False
| 7
|
NIv2
|
task520_aquamuse_answer_given_in_passage
|
fs_opt
|
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] |
Instructions: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Input: Is OTHER wrong in the post ? POST : Ok so some background context before we get into this I(17 mtf) have a friend (also 17 mtf) for the record mtf is the acronym people use for trans women. Anyway so my and my friend who we will call j have known eachother for a time, almost 4 years. But recently as I talk to her it feels like se concentrating on the things that make me look bad, in a weird way. So we had a mutual friend a while back who I dated, let's call em L during this period he made sexual advances I made clear were not welcome, anyway long story short turns out the guy is a dick and he leaves out town. Recently when L is brought up she goes into something along the line of "you don't have it as bad as me, I had it the worst" in different ways. It happens almost every time. I want to sometimes say "yeah I get it you had a bad time, doesn't discount mine" one of the other things is that she is into body horror stuff(mostly works by junji Ito), which is cool but I hate it, I'm not exactly squeamish but it makes me wildly uncomfortable. She knows this and yet brings it up so often, and tries to get me to read it. Another problem lies in our dysphoria, which usually lands us on common ground but she does the "trust me it's easier for you cause you're skinny" act which I hate because I have got an eating disorder, which she knows about. But keeps telling me things like "I would kill for your body", etc. I hate it because once again diminishing my problems because hers are worse. And then there's the subject of V. V is a mutual friend that we both dated, her before me. We have both broken up with him on amicable terms. However anytime I bring up Something happy that happened with him when just talking about relationships she always butts in with something like "HAHAHA it's so funny how you dated him even though I'm still in love with him" the same thing happens when ever I bring my current partner but in a different matter that always frames me as being bad for bringing up my happiness because she doesn't have it. For the record when I was dating V J has broken up with him months beforehand and was cool with out relationship. I don't know what happened and it's tiring to be told that my problems don't matter because she's got worse ones, or how somehow I've wronged her. And it's getting irritating and I just want to shout that not everything is about her and for her to just let people have happiness without bringing her problems into it immediately. WIBTA if I called her out?
Output:
|
yes
| 3
|
NIv2
|
task502_scruples_anecdotes_whoiswrong_verification
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Hindi: कल ब्रिटेन के परिवहन सचिव रूथ केली द्वारा 1730 UTC पर हाउस ऑफ़ कॉमन्स में विवरण दिए गए।
Solution: Yes
Why? The converted Hindi sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
New input: English: The Moldovan leader noted that he has sent a package of documents to Russia regarding the activity of 13 Transnistrian military companies.
Hindi: विन्फ्रे का शिकागो, इलिनोइस शहर पर स्थायी प्रभाव पड़ा है।
Solution:
|
No
| 0
|
NIv2
|
task434_alt_en_hi_answer_generation
|
fs_opt
|
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] |
Definition: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: a circle graph shows how the megatech corporation allocates its research and development budget : 14 % microphotonics ; 24 % home electronics ; 20 % food additives ; 29 % genetically modified microorganisms ; 8 % industrial lubricants ; and the remainder for basic astrophysics . if the arc of each sector of the graph is proportional to the percentage of the budget it represents , how many degrees of the circle are used to represent basic astrophysics research ?
Options: a ) 8 ° , b ) 10 ° , c ) 18 ° , d ) 36 ° , e ) 52 °
Output:
|
c
| 2
|
NIv2
|
task1419_mathqa_gain
|
zs_opt
|
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] |
Part 1. Definition
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
Part 2. Example
Premise: Old man crafting something in his workshop.
Hypothesis: An old man is working.
Update: The man is serious and is surrounded by workers.
Answer: strengthener
Explanation: If the old man is serious and surrounded by workers, it is more likely that he is working.
Part 3. Exercise
Premise: A dog running and jumping in the mud, with a person walking behind it.
Hypothesis: The dog is going to the groomers later because he is not allowed in the house being as muddy as he is.
Update: They are on their way to a pond so the dog can wash off the mud.
Answer:
|
weakener
| 7
|
NIv2
|
task936_defeasible_nli_snli_classification
|
fs_opt
|
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] |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: This product works exactly as advertised. Click the button and find out what the song is. The website isn't set up very well, and it's slow because of all the annoying flash stuff, but with broadband it's definitely usable.Unfortunately, it's only usable for the rest of September. Emarker.com is shutting down, and that makes the eMarker useless. Thus, the 1-star review. Current users are being offered a refund, but my guess is if you buy one now you won't get that.I'd write more detail, but I have to go print hardcopies of my eMarks. :(
Polarity: Positive
|
False
| 0
|
NIv2
|
task494_review_polarity_answer_generation
|
zs_opt
|
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] |
Q: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: રાજથાળી (તા. વાંકાનેર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારમાં આવેલા મોરબી જિલ્લામાં આવેલા કુલ ૫ (પાંચ) તાલુકાઓ પૈકીના એક એવા વાંકાનેર તાલુકામાં આવેલું એક ગામ છે. રાજથાળી ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, ચણા, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: ભારત
Option B: સૌરાષ્ટ્ર
Option C: આંગણવાડી
Option D: પંચાયતઘર
A:
|
ભારત
| 7
|
NIv2
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
zs_opt
|
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In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Example Input: SQL: SELECT name FROM instructor EXCEPT SELECT name FROM instructor
Feedback: make sure they are teaching in Spring course id in step 2.
Example Output: SELECT name FROM instructor WHERE id NOT IN (SELECT id FROM teaches WHERE semester = 'Spring')
Example Input: SQL: SELECT T1.id , T1.name , T2.Pilot FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T1.id ORDER BY Count ( * ) Desc LIMIT 1
Feedback: Interchange airport id with airport id in step 2 and pilot with iata in step 3.
Example Output: SELECT T1.id , T1.name , T1.IATA FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1
Example Input: SQL: SELECT Max ( Silver ) , Min ( Gold ) FROM club_rank
Feedback: The minimum silver is the right term , not minimum gold .
Example Output:
|
SELECT max(Silver) , min(Silver) FROM club_rank
| 3
|
NIv2
|
task076_splash_correcting_sql_mistake
|
fs_opt
|
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] |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
M: Hello. ,F: Hello, Sam. It's me, Jane. My uncle hasn't been well these days. I'm going to see him the day after tomorrow. ,M: Oh, really? Where does he live? ,F: He lives in Dalian. And I'm going there by train because I don't like the bus.
(A) M: I’m sorry, I didn’t catch that. Would you mind speaking more slowly? (B) M: So, you will leave to see your dad the day after tomorrow because you need his help. (C) M: So, you will leave to see your uncle tomorrow because he is not well these days. (D) M: Oh, I see. You will go there by train to see your uncle because he is not well these days.
|
D
| 0
|
NIv2
|
task611_mutual_multi_turn_dialogue
|
zs_opt
|
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] |
Definition: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Input: Title: Soccer. Sentence 1: Sarah loves to play soccer all the time. Sentence 2: Her dad told her that if she got good grades she could join a league. Sentence 3: After three weeks of studying and hard work she had straight A's. Sentence 4: The next week her dad signed her up for a soccer league. Choices: a. Sarah met her teammates the next day. b. As Shane ate his popcorn with the candy he realized he liked it too.
Output:
|
a
| 2
|
NIv2
|
task213_rocstories_correct_ending_classification
|
zs_opt
|
[
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You will be given a definition of a task first, then some input of the task.
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: Contrary to most people' s idea, the air in Coastal cities can be far from fresh and healthful, said a report recently published. University of California Professor Mark Thiemens led the research team. His team. report blames ships that release dirty smoke by burning low-cost, high-sulfur fuel. They directly measured smoke released from a ship. They also tested air at the end of the Scripps Pier .The area is just north of San Diego, which is both a major city and port. The Scripps Pier is also close to waters with heavy shipping traffic and the city of Los Angeles. Los Angeles has the third largest port in the world. Primary sulfate is produced when a ship burns fuel called bunker oil. Bunker oil contains a Large amount of sulfur. Most sulfur released by ships burning bunker oil is a gaseous pollutant--sulfur dioxide. After a time, sulfur dioxide becomes sulfate in the atmosphere. The researchers say this primary sulfate may be only a small part of what ships produce. Professor Thiemens said no one had really expected that ships would be responsible for so many , particulates .He said the extremely small particles ( )are especially threatening. They measure only one and one half microns in size., A micron is one millionth of a meter. The researchers say the particulates can travel long distances because they stay in the atmosphere longer than other pollutants. Professor Thiemens noted that the air of Los Angeles influenced air quality in San Die -go. That distance is almost 180 kilometers. , Primary sulfur particulates can also threaten human health. When people breathe, the particulates stay in their lungs. Other scientists have said that up to 60,000 people around the world die each year from dirty ship smoke. Other gaseous pollutants from ships include nitrogen oxide and carbon dioxide. Earlier this year, a United Nations' report said gases from ships produce more than one billion tons of carbon dioxide every year. Ships are not governed under the Kyoto Protocol, the agreement that establishes limits for gases linked to climate change. But international rules requiring ship fuels that burn cleanly are to become effective in 2015.
Answer: The air quality in coastal cities is worrying.
Output:
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What is the main idea of the passage?
| 1
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NIv2
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task311_race_question_generation
|
zs_opt
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Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
Example input: Isabella entered the hall. Olivia entered the hall. The apple is in the blue_treasure_chest. Olivia exited the hall. Isabella moved the apple to the green_basket. Where does Isabella think that Olivia searches for the apple?
Example output: blue_treasure_chest
Example explanation: Since Olivia was no longer in the hall, she last remembers the apple being in the blue_treasure_chest even though Isabella moved it to the green_basket. Since Isabella was in the hall the entire time, she knows where Olivia will look for it.
Q: Avery entered the laundry. Aria entered the laundry. The pear is in the red_treasure_chest. Avery moved the pear to the blue_container. Where does Avery think that Aria searches for the pear?
A:
|
blue_container
| 3
|
NIv2
|
task151_tomqa_find_location_easy_clean
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
FCedAQnAYtuPb, qObuaAQnAYsFck
|
AQnAY
| 5
|
NIv2
|
task600_find_the_longest_common_substring_in_two_strings
|
zs_opt
|
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
કિલોમીટર લાંબો કલ્યાણથી તલોજા મેટ્રો – 12 કોરીડોર
Solution: ਕਿਲੋਮੀਟਰ ਲੰਬਾ ਵੈਲਫੇਅਰ ਟਾਲੋਜਾ ਮੈਟਰੋ - 12 ਕੋਰਡੋਰ
Why? Correct translation for given sentence. Input sentence means 'Kilometers Long Welfare Taloja Metro - 12 Coridor' which is the same as the output sentence.
New input: પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીના અધ્યક્ષ સ્થાને મળેલી મંત્રીમંડળની બેઠકમાં નાણાંકીય પાયાના ધોવાણ અને નફા સ્થળાંતરની પ્રવૃત્તિ રોકવા માટે બહુપક્ષીય કર સંધિ (MLI) સંબંધિત પગલાં લેવાના બહુપક્ષીય ઠરાવને બહાલી આપવામાં આવી છે.
Solution:
|
ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਅਗਵਾਈ ਵਿੱਚ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਅਧਾਰ ਕਟਾਅ ਅਤੇ ਲਾਭ ਤਬਦੀਲੀ ਦੀ ਰੋਕਥਾਮ ਲਈ ਕਰ ਸੰਧੀ ਸਬੰਧੀ ਕਦਮਾਂ ਦੇ ਲਾਗੂ ਕਰਨ ਲਈ ਮਲਟੀਲੇਟਰਲ ਕਨਵੈਨਸ਼ਨ (ਐੱਮਐੱਲਆਈ) ਦੀ ਪੁਸ਼ਟੀ ਕਰਨ ਦੀ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ। ਪ੍ਰਭਾਵ:
| 0
|
NIv2
|
task1043_pib_translation_gujarati_punjabi
|
fs_opt
|
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0.4916890263557434,
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0.20196661353111267
] |
Detailed Instructions: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Es probable que encuentres un juego de mesa en una tienda de juguetes.
A:
|
Es probable que recuerde un juego de mesa en una tienda de la biblioteca.
| 9
|
NIv2
|
task417_mickey_es_sentence_perturbation_generation
|
zs_opt
|
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] |
Categorize the following sentence into one of the five different emotions: anger, confusion, joy, sadness and neutral.
Example input: I KILL YOU SCUM.
Example output: anger
Example explanation: The sentence expresses the emotion - anger by mentioning about killing someone. So, the output is anger.
Q: I stopped worrying about showing vulnerability years ago but there's still nobody there.
A:
|
sadness
| 3
|
NIv2
|
task889_goemotions_classification
|
fs_opt
|
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Poniesienie porażki nie powinno cię powstrzymywać od dalszego przyczyniania się do rozwoju nauki.
A: O facto é que temos falhanço, e isso não nos deve impedir de levar a ciência adiante.
****
Q: I wtedy ten potworny poranek września 2001 roku.
A: Depois, naquela terrível manhã de setembro de 2001
****
Q: i wertować Stary Testament "". Wiecie, o czym mówię. Wiecie, o czym mówię. Mam na myśli ludzi, których pociąga rytualna, moralizatorska, wspólnotowa strona religii, ale nie mogą zdzierżyć doktryny.
A:
|
Gosto mesmo de folhear as páginas do Antigo Testamento. "" O que quer que seja, sabem do tipo de coisa de que estou a falar — pessoas que se sentem atraídas pelo lado ritualista, pelo lado moralista, de comunhão, da religião, mas que não suportam a doutrina.
****
| 4
|
NIv2
|
task1264_ted_translation_pl_pt
|
fs_opt
|
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] |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Ex Input:
Question: Is alloantigen-driven T cell death mediated by Fas ligand and tumor necrosis factor-alpha essential for the induction of allograft acceptance?
Answer: These data indicate that: (1) FasL and TNFalpha expression are not obligatory for the induction of long-term allograft acceptance by CTLA4Ig and (2) FasL- and TNFalpha-independent death pathways contribute to alloantigen-driven T cell apoptosis.
Ex Output:
no
Ex Input:
Question: Does intracanal delivery of Resolvin E1 control inflammation in necrotic immature rat teeth?
Answer: RvE1 and TAP had a positive impact on reducing inflammation and promoting root formation. RvE1 was more effective in reducing inflammation at earlier stages. RvE1 has potential to be used as root canal dressing to control inflammation in endodontically compromised teeth before complete root formation. Stability of RvE1 within the root canal and its delivery are issues to be addressed before its clinical use.
Ex Output:
yes
Ex Input:
Question: Does acute or subchronic clozapine treatment ameliorate prepulse inhibition ( PPI ) deficits in CPB-K mice with low levels of hippocampal NMDA receptor density?
Answer: In summary, (1) this study confirmed our working hypothesis: Lower levels of hippocampal glutamatergic receptor densities correspond to lower sensorimotor gating in CPB-K mice, and (2) acute or subchronic treatment with CLZ did not elevate low PPI levels in CPB-K mice. Thus, further experiments will concentrate on other antipsychotic drugs to prove the predictive validity of this animal model.
Ex Output:
|
no
| 1
|
NIv2
|
task846_pubmedqa_classification
|
fs_opt
|
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] |
Q: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Telomerase-negative tumor cells use an alternative lengthening of telomeres (ALT) pathway that involves DNA recombination and repair to maintain their proliferative potential. The cytological hallmark of this process is the accumulation of promyelocytic leukemia (PML) nuclear protein at telomeric DNA to form ALT-associated PML bodies (APBs). Here, the de novo formation of a telomeric PML nuclear subcompartment was investigated by recruiting APB protein components. We show that functionally distinct proteins were able to initiate the formation of bona fide APBs with high efficiency in a self-organizing and self-propagating manner. These included: (1) PML and Sp100 as the constituting components of PML nuclear bodies, (2) telomere repeat binding factors 1 and 2 (TRF1 and TRF2, respectively), (3) the DNA repair protein NBS1 and (4) the SUMO E3 ligase MMS21, as well as the isolated SUMO1 domain, through an interacting domain of another protein factor. By contrast, the repair factors Rad9, Rad17 and Rad51 were less efficient in APB nucleation but were recruited to preassembled APBs. The artificially created APBs induced telomeric extension through a DNA repair mechanism, as inferred from their colocalization with sites of non-replicative DNA synthesis and histone H2A.X phosphorylation, and an increase of the telomere repeat length. These activities were absent after recruitment of the APB factors to a pericentric locus and establish APBs as functional intermediates of the ALT pathway.
A:
|
De novo assembly of a PML nuclear subcompartment occurs through multiple pathways and induces telomere elongation.
| 7
|
NIv2
|
task1586_scifact_title_generation
|
zs_opt
|
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0.2669498324394226,
-0.3203739523887634,
0.45628994703292847
] |
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example input: Endlich . Endlich erscheint Staffel 2 auf DVD. Habe ewig darauf gewartet. Die Staffel 2 ist in meinen Augen die Beste, da man dort auch mehr von Mark Kellers super Stimme hört. Ein Wehrmutstropfen ist das Caroline Schröder, die Darstellerin der Bea nicht mehr dabei ist.
Example output: POS
Example explanation: The overall sentiment of the review is positive as the reviewer refers to the dvd with positive expressions such as 'super Stimme hört'. Hence, the label is 'POS'.
Q: Romantische Komödie . Ein ganz klein wenig "kitschig" ist er schon aber auch sehr unterhaltsam, lustig und perfekt für einen gemütlichen Abend :] Mir hat er wirklich sehr gut gefallen, ich kann ihn wirklich nur weiter empfehlen!
A:
|
POS
| 3
|
NIv2
|
task480_cls_german_dvd_classification
|
fs_opt
|
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] |
TASK DEFINITION: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
PROBLEM: Context Word: ceremony.
SOLUTION: Sentence 1: With a wedding on the rise, PersonX could perform the ceremony with a permit while PersonY could not since _ lived in California.
Sentence 2: With a wedding on the rise, PersonX could perform the ceremony with a permit while PersonY could not since _ lived in Missouri.
PROBLEM: Context Word: fiber.
SOLUTION: Sentence 1: PersonX exercised and ate a diet much higher in fiber than PersonY. _ felt this made them healthier.
Sentence 2: PersonX exercised and ate a diet much higher in fiber than PersonY. _ felt this didn't matter.
PROBLEM: Context Word: collector.
SOLUTION:
|
Sentence 1: The collector bought more items from PersonX than PersonY because _ had a large collection to choose from.
Sentence 2: The collector bought more items from PersonX than PersonY because _ had a small collection to choose from.
| 8
|
NIv2
|
task030_winogrande_full_person
|
fs_opt
|
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You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
most_eq { all_rows ; date ; 25 october } = true
Output:
|
for the date records of all rows , most of them fuzzily match to 25 october .
| 1
|
NIv2
|
task110_logic2text_sentence_generation
|
zs_opt
|
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0.45406273007392883
] |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Q: (Laughter) I spend most of my time working in the dark; I'm used to that.
A:
|
(Smijeh) Većinu svog vremena provodim radeći u mraku, navikla sam na to.
| 9
|
NIv2
|
task1365_opustedtalks_translation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Pete Rose question: what year did pete rose play?
|
['1968 Major League Baseball Season', '1971 Major League Baseball Season', '1969 Major League Baseball Season', '1963 Major League Baseball Season', '1966 Major League Baseball Season', '1967 Major League Baseball Season', '1970 Major League Baseball Season', '1972 Major League Baseball Season', '1964 Major League Baseball Season', '1965 Major League Baseball Season']
| 5
|
NIv2
|
task1601_webquestions_answer_generation
|
zs_opt
|
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] |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Q: Statement: The Congressional Budget Office, a nonpartisan office, did an analysis and said that passing comprehensive immigration reform will reduce the federal deficit by $200 billion over the next decade.
Subject: abortion
A:
|
False
| 4
|
NIv2
|
task1187_politifact_classification
|
zs_opt
|
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] |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Problem:Ein Glas Wasser wollen wir, wenn wir durstig sind.
Solution:
|
Ein Glas Wasser liefern wir, wenn wir durstig sind.
| 8
|
NIv2
|
task416_mickey_de_sentence_perturbation_generation
|
zs_opt
|
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] |
Q: In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Gdzie kobieta przechowywałaby na swojej osobie bilet na pociąg?
Options: A ręka dyrygenta B kasa biletowa C zajezdnia kolejowa D budka biletowa E torebka
A:
|
E
| 7
|
NIv2
|
task1140_xcsr_pl_commonsense_mc_classification
|
zs_opt
|
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] |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Example: story: It was bedtime at our house. Two of the three kids hit the pillow and fall asleep. The third is a trouble maker. For two hours he continues to get out of bed and want to play. Finally he becomes tired and falls asleep.
selected sentence: Finally he becomes tired and falls asleep.
Example solution: A kid wants to play before sleep >Causes/Enables> A kid eventually falls asleep
Example explanation: The selected sentence is about a kid falling sleep, the answer correctly identifices an event causing the sentence to happen.
Problem: story: I wanted to make a stew. I bought all the ingredients. I took them home to cook them. When I got home, I was too tired to cook. I put the ingredients in the fridge to cook another day.
selected sentence: I bought all the ingredients.
|
Solution: I want to make a stew >Causes/Enables> I buy all the ingredients
| 5
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NIv2
|
task614_glucose_cause_event_detection
|
fs_opt
|
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] |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Example Input: What is the part-of-speech tag of the word "producing" in the following question: When did the highest capacity power station start producing energy ?
Example Output: WRB
Example Input: What is the part-of-speech tag of the word "as" in the following question: When was the church established that is located in the city that serves as the seat of government and capital of the Navajo Nation ?
Example Output: VBD
Example Input: What is the part-of-speech tag of the word "did" in the following question: Who did the most recent graduate follow as Chief of Naval Operations ?
Example Output:
|
NN
| 3
|
NIv2
|
task347_hybridqa_incorrect_answer_generation
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different from what is present in the text. If they still refer to the same entity, then it is a correct title. Indicate your answer as "Yes" if the title is correct, otherwise indicate your answer as "No". Do not generate anything else apart from "Yes" or "No"
Example: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association.
Title: Mansfield Building Society
Output: Yes
The title "Mansfield Building Society" is present in the text and it is the main entity that is referred in the text. Hence, it is the title of the document.
New input case for you: Text: Not to be confused with Sheren Tang.Shermon Tang Sheung Man (Chinese: 鄧上文) is a Hong Kong television actress. Shermon was awarded the Miss Photogenic award at the 2005 Miss Hong Kong pageant launching her career in showbiz. Shermon attended King George V School an International School before studying in Australia.Actually Shermon's childhood ambition was to become a lawyer or a nurse.
Title: Shermon Tang
Output:
|
Yes
| 1
|
NIv2
|
task630_dbpedia_14_classification
|
fs_opt
|
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] |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: The objections of the industry in this matter are certainly not without foundation.
A:
|
Industrins invändningar är säkerligen inte ologiska på detta område.
| 4
|
NIv2
|
task313_europarl_en_sv_translation
|
zs_opt
|
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] |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: しかし、キャラクター達は、「ステージで生き、またファンタジーの世界で生きている」と、彼は語った。
A:
|
Pero ang mga karakter "ay nabubuhay sa entablado at nabubuhay sa mundo ng pantasya," aniya.
| 4
|
NIv2
|
task1118_alt_ja_fil_translation
|
zs_opt
|
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] |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Можете да използвате един куршум, за да видите кой е написал коментар.
A:
|
Можеш да използваш човек, за да посочиш какво е низпослал.
| 9
|
NIv2
|
task415_mickey_bg_sentence_perturbation_generation
|
zs_opt
|
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] |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
[EX Q]: نحن لدينا هذا التصور
[EX A]: Mamy wyobrażenia jak to,
[EX Q]: [60.2 مليار] لماذا أتحدث عن هذا ؟
[EX A]: [60,2 miliardów dolarów] Dlaczego tak jest?
[EX Q]: هذا مانع للصوت مصنوع بالبيت
[EX A]:
|
To domowej roboty tłumik.
| 6
|
NIv2
|
task1107_ted_translation_ar_pl
|
fs_opt
|
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Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Q: Context : Daniele Giorgini (born 24 April 1984 in San Benedetto del Tronto, Italy) is an Italian professional tennis player.
Question : What city is Daniele Giorgini associated with?
A:
|
residence
| 4
|
NIv2
|
task1328_qa_zre_relation_generation_from_question
|
zs_opt
|
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] |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ซึ่งเป็นชัยชนะครั้งที่ห้าของเขา ในฤดูการแข่งปี 2010ของการการแข่งขันสต็อคคาร์อาชีพชั้นนำของสหรัฐอเมริกา ซึ่งเป็นผลให้เขาเสมอกับDenny Hamlin ในการเป็นนักแข่งที่ได้รับชัยชนะมากที่สุด
|
それは彼にとって2010年シーズンのアメリカの主要プロフェッショナルストックカーシリーズにおける5度目の勝利で、これによって彼は勝利数においてデニー・ハミルトンと互角になった。
| 0
|
NIv2
|
task1128_alt_th_ja_translation
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Jag förklarar debatten avslutad.
Solution: The debate is closed.
Why? Swedish sentence is properly converted into English sentence.
New input: Den oron är berättigad.
Solution:
|
The unease is justified.
| 0
|
NIv2
|
task312_europarl_sv_en_translation
|
fs_opt
|
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] |
In this task, you need to count the number of times the given letter appears in the given sentence.
One example: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Solution is here: 5
Explanation: The letter 'e' appears 5 times in the sentence.
Now, solve this: Sentence: 'people in a skiing competition are going down a snow covered hill'. Find frequency of the letter 'g'
Solution:
|
3
| 6
|
NIv2
|
task113_count_frequency_of_letter
|
fs_opt
|
[
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] |
Given the task definition and input, reply with output. Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Context: ANGPTL8 (betatrophin) has been recently identified as a regulator of lipid metabolism through its interaction with ANGPTL3. A sequence variant in ANGPTL8 has been shown to associate with lower level of Low Density Lipoprotein (LDL) and High Density Lipoprotein (HDL). The objective of this study is to identify sequence variants in ANGPTL8 gene in Arabs and investigate their association with ANGPTL8 plasma level and clinical parameters.', 'A cross sectional study was designed to examine the level of ANGPTL8 in 283 non-diabetic Arabs, and to identify its sequence variants using Sanger sequencing and their association with various clinical parameters.', 'Using Sanger sequencing, we sequenced the full ANGPTL8 gene in 283 Arabs identifying two single nucleotide polymorphisms (SNPs) Rs.892066 and Rs.2278426 in the coding region. Our data shows for the first time that Arabs with the heterozygote form of (c.194C > T Rs.2278426) had higher level of Fasting Blood Glucose (FBG) compared to the CC homozygotes. LDL and HDL level in these subjects did not show significant difference between the two subgroups. Circulation level of ANGPTL8 did not vary between the two forms. No significant changes were observed between the various forms of Rs.892066 variant and FBG, LDL or HDL.
Answer: Our data shows for the first time that heterozygote form of ANGPTL8 Rs.2278426 variant was associated with higher FBG level in Arabs highlighting the importance of these variants in controlling the function of betatrophin.
|
Is aNGPTL8/Betatrophin R59W variant associated with higher glucose level in non-diabetic Arabs living in Kuwaits?
| 5
|
NIv2
|
task845_pubmedqa_question_generation
|
zs_opt
|
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] |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Perancis.
Example explanation: This is a correct and accurate translation from Japanese to Bahasa Indonesia because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Problem: 男子シングルスの決勝は今日後ほど開催されるが、出場するのは第1シードで昨年の優勝者であるロジャー・フェデラーと第2シードのラファエル・ナダルという、昨年度の決勝戦と同じ組み合わせとなった。
|
Solution: Final tunggal putra diadakan setelahnya pada hari ini dengan unggulan pertama dan juara bertahan Roger Federer menghadapi unggulan kedua Rafael Nadal sebuah pengulangan final tahun lalu.
| 5
|
NIv2
|
task1115_alt_ja_id_translation
|
fs_opt
|
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A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଏହି ଅବସରରେ ଏକ ବାର୍ତ୍ତା ଦେଇ ରାଷ୍ଟ୍ରପତି କହିଛନ୍ତି ଯେ “ଗୁରୁ ନାନକ ଦେବଙ୍କ ଜୟନ୍ତୀ ଅବସରରେ ତାଙ୍କର ଜୀବନାଦର୍ଶ ଏବଂ ଉପଦେଶକୁ ଆମେ ସଭିଏଁ ସ୍ମରଣ କରିବା ଉଚିତ । ଏହି ଅବସରରେ ଶିଖ ସମ୍ପ୍ରଦାୟଙ୍କ ସମେତ ସମଗ୍ର ଦେଶବାସୀଙ୍କୁ ମୁଁ ମୋର ଶୁଭେଚ୍ଛା ବାର୍ତ୍ତା ତଥା ଶୁଭ କାମନା କରୁଛି ।”
A:
|
પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં મંત્રીમંડળની બેઠકમાં શ્રી ગુરૂ નાનક દેવજીની આવતા વર્ષે આવી રહેલી 550મી જન્મજયંતિની સમગ્ર દેશમાં અને દુનિયાભરમાં ઉજવણી કરવાનો નિર્ણય કરાયો છે. આ ઉપરાંત રાજ્ય સરકારો અને વિદેશના ભારતીય મિશન પણ પ્રસંગોચિત ઉજવણી કરશે.
| 4
|
NIv2
|
task1078_pib_translation_oriya_gujarati
|
zs_opt
|
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] |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
His hands were cracked from the air, but were healed up when rubbed with the oil, as the _ was so soothing to them.
|
oil
| 0
|
NIv2
|
task033_winogrande_answer_generation
|
zs_opt
|
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] |
In this task, you need to replace a letter in the sentence with another given letter.
Input: Consider Input: Sentence: 'a person is looking out of a large window'. Replace the letter 'o' with 'p' in the sentence.
Output: a perspn is lppking put pf a large windpw
Input: Consider Input: Sentence: 'a person jumping up in the air on a snowboard'. Replace the letter 'r' with 'o' in the sentence.
Output: a peoson jumping up in the aio on a snowboaod
Input: Consider Input: Sentence: 'a large boat is out in the water'. Replace the letter 'i' with 'v' in the sentence.
|
Output: a large boat vs out vn the water
| 2
|
NIv2
|
task160_replace_letter_in_a_sentence
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX clicks on the email button<sep>Tail: sent a reply to the email
Output:
|
Yes
| 1
|
NIv2
|
task1200_atomic_classification_xeffect
|
zs_opt
|
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0.9374175071716309,
0.1539015918970108,
-1.306114673614502,
-0.5502928495407104
] |
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
Q: [-822, 678, 903, -630, -686, 48, 925, 355, 100, 667, -272, -880, -798, 24, -145, -996, -727, 337, -827, -454, -893, 92, 352, -613, 392]
A:
|
[-686, -272, -727, -454]
| 9
|
NIv2
|
task372_synthetic_palindrome_numbers
|
zs_opt
|
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] |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: Trump: "I don't believe it." Based on what? Gut feeling or just denial that something might just be there? Something could have truely happen without his knowing. That would be actually believable but to just say "I don't believe it" leads a reasonable person to think you are covering up. Buffoon. What till a real crisis comes up that requires critical thinking skills without just pushing the button!
Output:
|
Non-threat
| 2
|
NIv2
|
task322_jigsaw_classification_threat
|
zs_opt
|
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] |
TASK DEFINITION: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
PROBLEM: Personality: I love eating barbeque sandwiches and pizza puffs.
I enjoy hanging out with my imaginary friends as a hobby.
My favorite show is Tom and Jerry.
My name is jovannie and I'm 19.
Chat history: -Hello what are you doing?
-I am well how about you?
-Good just had a huge dinner.
SOLUTION: What are we having for dinner?
PROBLEM: Personality: I've a cat as a pet.
I love comics.
My favorite band is nightfish.
I work from home.
Chat history: -Hi hows it going with you.
-Pretty good, kicking back reading some comics, how about you?
-I have been hiking all day so I am relaxing. You like the outdoors?
-Not really. I work form home so I can stay at home with my cat, fluffy.
-That sounds nice. I'm personally a dog person.
-My favorite band nightfish, plays a song about dog vs cat owners.
-That sounds like it would be entertaining. You are a music fan?
-Not as much as I used to be but I still follow todays hits.
-Nice. I like to listen to french music sometimes.
SOLUTION: Ah nice I cannot say I have heard my french music but my of speaks fluent fence.
PROBLEM: Personality: I have two pet dogs.
I hope to travel the world one day.
My favorite music genre is rock.
I am a farmer.
Chat history: -Hey how are you today.
-I'm good. Just got home from school!
-Are you in college? I wish I went to college I tend a farm now.
-I'm still a kid! Only 3rd grade.
-Oh wow that's a fun grade. Do you like school.
-I love school but I'm kinda shy. I just moved here from France.
-France must have been beautiful. It will take you some time to get adjusted.
-It has been a year, but I still haven't made very many friends.
-It will take some time I am sure you will make friends soon.
-Thank you. I hope I'll when I go to summer camp.
-Summer camp is really fun! Do you have any pets.
-No I do not. Do you?
-I have dogs a boxer and a german shepard.
-I love puppies. I wish I had one!
SOLUTION:
|
Maybe you can get one one day.
| 8
|
NIv2
|
task1729_personachat_generate_next
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
The Irate Gamer: Somebody call _ 911 _ because I was R.O.B'ed .
Output:
|
OTHER
| 1
|
NIv2
|
task304_numeric_fused_head_resolution
|
zs_opt
|
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Input: Consider Input: Nie zawsze tak jest.
Output: The truth is that's not always the case.
Input: Consider Input: Ten fotelik jest lepszy, niż przeciętna według Raportu Konsumenta.
Output: So this car seat was actually an above-average car seat from Consumer Reports, and did quite well.
Input: Consider Input: Mówi do mnie tak...
|
Output: She says this to me.
| 2
|
NIv2
|
task1256_ted_translation_pl_en
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: Easy product to install. No fuss. Plug it in. It is out of sight behind a couch. I am satisfied.
Polarity: Positive
Solution: True
Why? Customer is satisfied with the product. Therefore, it has positive polarity.
New input: Review: My Zen Garden came on time and exactly as described. I like it, but it really only is a tray with sand. Get this product if you want a nice Zen garden. If you want to have something to help you relax, get something else, there are better ways to cut loose.
Polarity: Negative
Solution:
|
False
| 0
|
NIv2
|
task494_review_polarity_answer_generation
|
fs_opt
|
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] |
In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you think the given correct answer is good, indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible: "Yes" and "No".
[Q]: Paragraph- Sent 1: In 1989 , Kevin Flynn , software engineer and the CEO of ENCOM International , disappears .
Sent 2: Twenty years later , his son , Sam , now ENCOM 's primary shareholder , takes little interest in the company beyond playing an annual trick on the board of directors ; but is requested by his father 's friend , ENCOM executive Alan Bradley , to investigate a message originating from Flynn 's shuttered Video arcade .
Sent 3: There , Sam discovers a hidden basement in which Sam unintentionally teleports himself to the Grid , a virtual reality created by his father .
Sent 4: On the Grid , Sam is sent to compete against a masked program called Rinzler who , having realized that Sam is a human User after seeing him bleed , takes him before CLU , an alter ego of Kevin Flynn who rules the Grid .
Sent 5: CLU nearly kills Sam in a Light Cycle match ; but the latter is rescued by Quorra , an `` apprentice '' of Flynn 's , who conveys him to his father outside CLU 's territory .
Sent 6: There , Flynn reveals to Sam that he had been working to create a `` perfect '' computer system and had appointed CLU and Tron its co-creators .
Sent 7: During this construction , the trio discover a species of naturally-occurring `` isomorphic algorithms '' , not conceived by Flynn , bearing the potential to resolve various mysteries in science , religion , and medicine .
Sent 8: CLU , having deemed them an aberration , betrayed Flynn , captured Tron , and destroyed the ISOs .
Sent 9: Meanwhile , the `` I\/O portal '' permitting travel between the two worlds had closed , leaving Flynn captive .
Question: Now who is the primary shareholder of ENCOM'S?
Correct Answer: Kevin's friend.
[A]: No.
[Q]: Paragraph- Sent 1: `` The Octopus , '' a masked crime lord , is bent on crippling the nation with a wave of terror .
Sent 2: He starts with the transportation system and then moves onto industry .
Sent 3: He demands tribute from railroad magnates and other captains of industry .
Sent 4: Richard Wentworth , an amateur criminologist who is friendly with the police , is secretly `` The Spider , '' a masked vigilante equally determined to wipe the Octopus and his gang off the face of the earth .
Sent 5: Pleasant and smiling in civilian life , Wentworth is often ruthless as the Spider , slinging two guns against the public enemies who attack him .
Sent 6: Wentworth also masquerades as affable underworld lowlife Blinky McQuade .
Sent 7: Disguised as McQuade , Wentworth can infiltrate gangland at the hired-gun level and keep current on the gang 's plans .
Sent 8: The only people who know Wentworth 's other identities are his assistants Jackson and Ram Singh , his butler Jenkins , and his fianc e Nita .
Sent 9: The Octopus was a villain in a single issue pulp believed to have been written by Norvell Page who wrote most of The Spider pulp stories .
Sent 10: He is garbed completely in white and is only ever seen sitting in a chair .
Sent 11: Unlike the pulps , The Spider is garbed in a lightweight full length costume with web-like markings on it which resemble Spiderman 's costume .
Sent 12: The serial follows the standard formula of fights , shoot-outs , Wentworth 's friends being kidnapped at various times and having to be rescued .
Sent 13: Each chapter ends with The Spider or his friends in deep trouble , often about to be killed , but the effect is spoiled by a trailer for the next episode which shows them in full health and fighting the villains .
Question: How is octopus different from spider?
Correct Answer: Octopus is a masked crime lord vs. Spider a masked vigilante.
[A]: Yes.
[Q]: Paragraph- Sent 1: Amateur tennis star Guy Haines wants to divorce his vulgar and unfaithful wife Miriam , so he can marry the elegant and beautiful Anne Morton , daughter of a senator .
Sent 2: While on a train to meet Miriam , Haines meets Bruno Anthony , a forward stranger who recognizes Guy from gossip items in the newspapers that detail his marital problems .
Sent 3: During lunch in Bruno 's compartment , Bruno tells Guy about his idea for the perfect `` Criss-cross '' murder : he will kill Miriam and in exchange , Guy will kill Bruno 's father .
Sent 4: Since both are strangers , otherwise unconnected , there is no identifiable motive for the crimes , Bruno contends , hence no suspicion .
Sent 5: Guy hurriedly leaves the compartment but leaves Bruno thinking he has agreed to the deal .
Sent 6: Guy accidentally leaves his cigarette lighter behind , a gift from Anne to Guy , which Bruno pockets .
Sent 7: Bruno heads to Guy 's hometown of Metcalf and follows Miriam and her two beaux to an amusement park , where he briefly illuminates her face with Guy 's lighter , then strangles her to death .
Sent 8: Guy 's problems begin when his alibi an inebriated college professor on the same train as Guy can not remember their meeting .
Sent 9: But they increase exponentially when Bruno makes repeated appearances into Guy 's life as he seeks to remind Guy that he is now obliged to kill Bruno 's father , according to the bargain he thinks they struck on the train .
Sent 10: Bruno sends Guy the keys to his house , a map to his father 's room , and a pistol .
Sent 11: Soon after , Bruno appears at a party at Senator Morton 's house and hobnobs with the guests , much to Guy 's apprehension and Anne 's increasing suspicion .
Question: where did Bruno lost his cigarette ligher?
Correct Answer: compartment on a train.
[A]:
|
No.
| 5
|
NIv2
|
task056_multirc_classify_correct_answer
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ່ງ ສະຫະລາຊະອານາຈັກ ຣູດ ເຄລີ່ ໃນສະພາຕໍ່າ ທີ່ 1730 UTC ມື້ວານນີ້.
Solution: Yes
Why? The converted Lao sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
New input: Japanese: 知事を務める間、彼は750件以上の法案を拒否し、それは他の当時の知事すべての法案拒否の合計よりも多く、州に10億ドルの財政黒字をもたらした。
Lao: ກິລາຍິງທະນູ ພົບວ່່າຂໍ້ມູນກ່ຽວກັບການເຂົ້າຮ່ວມທີມງານຊາໂດ ໃນມື້ ຫລັງຈາກກັບມາຈາກງານສະແດງຄອນເສີດ ໂດຍວົງດົນຕີທີ່ລາວມັກ ເຊັວຕິກ ທັນເດີ້ ໃນເມືອງວໍລົງກອງ.
Solution:
|
No
| 0
|
NIv2
|
task1126_alt_ja_lo_answer_generation
|
fs_opt
|
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] |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PART': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Let me give you an example: Sentence: An editorial in the church - owned Deseret Morning News in Salt Lake City earlier this year acknowledged that " the state 's history , a {{ conservative }} belief in free choice , and an unwillingness to stir up a hornet 's nest in the national media have likely all contributed to the kid - glove approach lawmakers and law - enforcement officers have taken when dealing with polygamous communities . "
Word: conservative
The answer to this example can be: ADJ
Here is why: "conservative" is an Adjective (ADJ) since it adds to the description of the Noun (NOUN) "belief".
OK. solve this:
Sentence: " Should the Arctic Ocean become ice - free in summer , it is likely that polar bears and some seal species would {{ be }} driven toward extinction , " the report concluded .
Word: be
Answer:
|
AUX
| 8
|
NIv2
|
task583_udeps_eng_coarse_pos_tagging
|
fs_opt
|
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0.194359689950943,
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1.0095620155334473,
0.21749362349510193,
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0.3093187212944031
] |
instruction:
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
question:
Context : An Englishman Abroad is a 1983 BBC television drama film, based on the true story of a chance meeting of an actress, Coral Browne, with Guy Burgess (Alan Bates), a member of the Cambridge spy ring who spied for the Soviet Union while an officer at MI6.
Answer : Soviet Union
answer:
Which place does An Englishman Abroad exist in?
question:
Context : Kin-dza-dza! (Russian: Кин-дза-дза!, translit. Kin-dzah-dza!) is a 1986 Soviet sci-fi dystopian black comedy cult film released by the Mosfilm studio and directed by Georgiy Daneliya, with a story by Georgiy Daneliya and Revaz Gabriadze.
Answer : Mosfilm
answer:
What studio produced Kin-dza-dza!?
question:
Context : Midwest Airlines (formerly Midwest Express) was a U.S.-based airline and was also an operating brand of Republic Airways Holdings based in Oak Creek, Wisconsin, operating from Milwaukee's General Mitchell International Airport.
Answer : Republic Airways Holdings
answer:
|
What company is Midwest Airlines part of?
| 9
|
NIv2
|
task1326_qa_zre_question_generation_from_answer
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Le crépuscule du Dieu . Cet enregistrement des années 70 marque incontestablement le crépuscule du génie que fut Karajan, avabnt sa satannée ère numérique. Le geste n'est pas encore machinal, on le sent vibrant et alerte. La philharmonie de Berlin langoureuse, véhémente scintille de mille feux et se pare d'une aura exceptionnelle, elle nous plonge dans un monde sombre, terrifiant, ses silences nous font frémir. Les tonmeister de la DG la capte en largueur et en profondeur et nous font "voir" une image sonore exceptionnelle, qu'originals a, comme ce fut le cas souvent, remasterisé avec un rare talent.
Solution: POS
Why? The overall sentiment of the review is positive as the reviewer refers to the music piece with positive expressions such as 'vibrant', 'une image sonore exceptionnelle' etc.. Hence, the label is 'POS'.
New input: oui mais... . Je ne suis pas particulièrement fan de la musique de Rachmaninov que je trouve à la limite du larmoiement et de la mièvrerie, ce jugement ne valant que pour moi. J'ai surtout acheté ce CD pour évaluer la prise de son que certains disent très bonne. Bonne, oui, mais pas excellente car le captage est un peu lointain à mon sens, et c'est bien dommage. Pour les inconditionnels (seulement) des sonates de Rachmaninov et Prokofiev.
Solution:
|
NEG
| 0
|
NIv2
|
task484_cls_french_music_classification
|
fs_opt
|
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] |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
One example: 静音开关用于激活灯光 。
Solution is here: 使用灯开关命令取出针头 。
Explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about the lights and the changes in the sentence follows the commonsense knowledge.
Now, solve this: 聊天需要舌头
Solution:
|
腿需要舌头
| 6
|
NIv2
|
task412_mickey_zh_sentence_perturbation_generation
|
fs_opt
|
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] |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.
Example output: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example explanation: The Filipino sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Q: Gayunpaman, ang Estados Unidos ang pinakamaraming naipakulong sa daigdig, na tinatayang may 2 milyong bilanggo, mula sa 9 na milyong kabuuang bilang sa buong mundo.
A:
|
しかしながら、アメリカは囚人数は世界第1位で、世界全体で900万人のうち200万人もの驚異的な収容者数である。
| 3
|
NIv2
|
task1119_alt_fil_ja_translation
|
fs_opt
|
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] |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Answer: aunt
|
what relationship is george clooney and rosemary clooney?
| 0
|
NIv2
|
task443_com_qa_ans_question_generation
|
zs_opt
|
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] |
Teacher: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Teacher: Now, understand the problem? If you are still confused, see the following example:
È probabile che in futuro chiamerete una lista dei nomi.
Solution: E' probabile che troviate una carta dei vini al ristorante.
Reason: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
Now, solve this instance: Gli ufficiali vivono a Toledo.
Student:
|
Pesci utilizzati nei fiumi.
| 2
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
fs_opt
|
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] |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
大手銀行の破産など、この時点では誰も予想していないが、大手銀行の利益が損害を受けることは懸念されている。
answer:
Ketika tidak seorangpun memprediksi kegagalan bank-bank besar pada saat ini, ditakutkan bahwa keuntungan mereka mungkin akan terpengaruh.
question:
バトンはホンダの決定が衝撃で悲痛だったとも語った。
answer:
Button juga mengungkapkan kekagetannya dan menyakitkan pada keputusan Honda.
question:
教師が追い出された後、拷問の場に変わった学校もあります。
answer:
|
Beberapa sekolah telah berubah menjadi tempat penyiksaan setelah guru-guru diusir.
| 9
|
NIv2
|
task1115_alt_ja_id_translation
|
fs_opt
|
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0.33458229899406433,
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-0.06701919436454773
] |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['i', 'k', '9997', 'p', '1611', '7477', '4661', '9389', 'I', '431', '3119']
|
7
| 0
|
NIv2
|
task505_count_all_numerical_elements_in_list
|
zs_opt
|
[
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] |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Let me give you an example: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
The answer to this example can be: He who created pairs of everything, and fashioned for you boats and beasts on which you ride,
Here is why: This is a good example. The above sentence is correctly translated from Persian to English.
OK. solve this:
و از اهل کتاب، کسى است که اگر او را بر مال فراوانى امین شمرى، آن را به تو برگرداند؛ و از آنان کسى است که اگر او را بر دینارى امین شمرى، آن را به تو نمىپردازد، مگر آنکه دایما بر [سر] وى به پا ایستى. این بدان سبب است که آنان [به پندار خود] گفتند: «در مورد کسانى که کتاب آسمانى ندارند، بر زیان ما راهى نیست.» و بر خدا دروغ مىبندند با اینکه خودشان [هم] مىدانند.
Answer:
|
There are some among the people of the Book who return a whole treasure entrusted to them; yet some there are who do not give back a dinar until you demand and insist, because they say: "It is not a sin for us to (usurp) the rights of the Arabs." Yet they lie against God, and they know it.
| 8
|
NIv2
|
task657_quran_fa_en_translation
|
fs_opt
|
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0.30335795879364014
] |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[-6, -73, 40, -53, -66, -10, -23, -59, 80, -58]
|
1
| 0
|
NIv2
|
task1445_closest_integers
|
zs_opt
|
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] |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Let me give you an example: English sentence: Lionel Messi is the greatest football player of all time
The answer to this example can be: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Here is why: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
OK. solve this:
English sentence: Magaalada Tikrit oo ka baxday gacanta dowlada Ciraaq_dhanaanmedia.com
Answer:
|
Ciraaq iyo xaaladihii ugu dambeeyay_dhanaanmedia.com
| 8
|
NIv2
|
task446_opus_paracrawl_en_so_translation
|
fs_opt
|
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] |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: Hong Kong-based labor rights group Students & Scholars Against Corporate Misbehavior said they reported aluminium dust problems in March when they reviewed working conditions at Foxconn.
Japanese: 香港を拠点とする労働者権利グループ「企業の不正に反対する学生と研究者の会」は、彼らが3月にフォックスコンでの労働条件を評価したとき、アルミニウムの粉塵の問題を報告していたと言った。
|
Yes
| 0
|
NIv2
|
task437_alt_en_ja_answer_generation
|
zs_opt
|
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] |
TASK DEFINITION: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
PROBLEM: 968 aggiunta 5257 aggiunta 7238
SOLUTION: 13463
PROBLEM: 5428 aggiunta 8800 sottrazione 6179 aggiunta 6166 sottrazione 8416 aggiunta 1481 sottrazione 3117 sottrazione 7884 aggiunta 6709
SOLUTION: 2988
PROBLEM: 3816 aggiunta 4152 sottrazione 9748 sottrazione 5101 sottrazione 3912 aggiunta 855 aggiunta 3577 aggiunta 1013 aggiunta 5858
SOLUTION:
|
510
| 8
|
NIv2
|
task086_translated_symbol_arithmetic
|
fs_opt
|
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