inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.
Input: Title: The Shuttle. Sentence 1: Vanessa was trying to travel to visit her aunt. Sentence 2: The nearest airport could only get her a few hours away. Sentence 3: From the airport she decided to take a shuttle van. Sentence 4: The ride was awkward and quiet but passed quickly. Choices: a. Ellen liked the experience, and purchased several herbs thereafter. b. Finally, she arrived at her aunt's house.
Output: | a | 2 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.629725456237793,
0.1725747287273407,
0.7052806615829468,
-0.45306694507598877,
-0.03519057482481003,
0.5800361633300781,
0.39961808919906616,
0.7935932278633118,
0.5124994516372681,
0.05967921018600464,
-0.594484806060791,
-0.21524308621883392,
0.4011071026325226,
-0.030402114614844322,... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Example: twotwoonesixzeronine
Output: 221609
The string is properly converted into a number based on the spelling of each digit. The string started with 'twotwo' therefore the number also started with '22'. This is a good example.
New input case for you: twothreeonetwosixfivesixfoureighttwothreeseven
Output: | 231265648237 | 1 | NIv2 | task1443_string_to_number | fs_opt | [
-0.4741848111152649,
1.2528562545776367,
-0.36555883288383484,
-0.4912271797657013,
-0.01990000531077385,
-0.16739970445632935,
0.5799275636672974,
0.36976420879364014,
-0.12909547984600067,
-0.36531955003738403,
-0.19575607776641846,
0.18980276584625244,
-0.5924903154373169,
-0.1877928525... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
Example: ['piątek is the word for Friday in Polish', 'You say Friday in Polish by piątek.']
Example solution: SIMILAR
Example explanation: The classified label of this sentence is a good example since both the sentences share the same RDF structure [['Polish', 'FRIDAY_FIFTH_DAY', 'piątek']] and are essentially conveying the same thing.
Problem: ['AFC Ajax operate Sportpark De Toekomst.', 'AFC Ajax is operated by Sportpark De Toekomst.']
| Solution: DISSIMILAR | 5 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.31153005361557007,
0.2889085114002228,
-0.0749301090836525,
-0.1376430094242096,
-0.4382685422897339,
-0.07886037975549698,
1.248999834060669,
-0.0497884601354599,
0.5810165405273438,
-0.10280017554759979,
-1.1367638111114502,
-0.2107997089624405,
-0.5797473788261414,
0.6387237906455994... |
instruction:
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words other than the two options, and do not answer with option titles(e.g. "option1" or "1" are not acceptable answers.)
question:
Passage: My daughter got a new board game for Christmas . It had a spinner and little cardboard figures you could move across the board . We had to read the directions to find out how to set it up . Each cardboard figure had a little plastic stand they made them look like they were standing up when you moved them across the board . We chose which cardboard figure we would use to be ours and spun the spinner to see who would go first . In this game , you could sometimes land on a square that told you to do something . Sometimes these were good and you could get ahead really fast , but some of these would make you go backwards . We played the game and it was a close race , but in the end my daughter won . She was very happy ! Question: What was the thing that could send someone back in the game? Option1: the spinner Option2: directions on the squares
answer:
directions on the squares
question:
Passage: I used to tell stories to my nephews when they were younger . Every time I visited them , they would love for me to sit down and tell them . One day , it was just before bed and I wanted to tell them a bedtime story . I began to tell a story about a prince and a magical frog . I tried to make it funny , and they laughed and laughed because they thought it was so silly . I used funny expressions in order to make it even funnier . Sometimes I asked them what they wanted to have happen in the story . They would sometimes come up with very silly ideas . We had so very much fun . Question: Who got all comfy in bed? Option1: The nephews. Option2: The characters in the story.
answer:
The nephews.
question:
Passage: Today I spent my afternoon working in the garden . It was a beautiful , sunny day - a perfect day to enjoy being outside . Before I went to the garden , I gathered all the supplies I needed from my garage . I needed gardening gloves , a shovel , a watering can which I filled with water , a bag of soil , fertilizer , and seeds . I had a variety of seeds to choose from , but I decided to try planting basil . I put on the gloves , dug up some dirt using the shovel , placed the seeds in the hole along with the fertilizer , and then placed some fresh soil on top . Once I finished planting the basil seeds , I took my watering can and walked around the garden . It was a beautiful day . Question: When were the flowers watered? Option1: After planting the seeds Option2: before planting
answer:
| After planting the seeds
| 9 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.2750362753868103,
0.2934368848800659,
-0.9189895391464233,
-0.0049047330394387245,
-0.010662734508514404,
-1.212454080581665,
1.0143524408340454,
0.9530777931213379,
-0.08994744718074799,
0.17689168453216553,
-0.41112789511680603,
-0.12516815960407257,
-0.4633663296699524,
0.045380324125... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: خوبه ، نقاشی جالبی است.
Output: | מעולה, כי זה ציור מגניב. | 2 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.5651980638504028,
0.4906615912914276,
0.23416581749916077,
-0.03475228697061539,
-0.175867959856987,
0.041761189699172974,
0.48318174481391907,
-0.0698370486497879,
0.8639577627182007,
0.07657548785209656,
-1.0675575733184814,
0.27089419960975647,
0.4919777810573578,
0.764685332775116,
... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
самое смешное видео :DD | joy | 0 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.5717817544937134,
-0.13072548806667328,
0.24653692543506622,
-0.497236430644989,
-0.4333191514015198,
0.5726668834686279,
0.6780644059181213,
0.8972253799438477,
-0.10764797031879425,
-0.06101071089506149,
-0.5519853234291077,
-0.5791106224060059,
0.20373225212097168,
0.1466141492128372... |
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".
One example is below.
Q: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
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。
A: Yes
Rationale: The converted Japanese 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.
Q: English: The GAO also found that the FDA's high-level management more involved in reviewing this decision than in other change-to-OTC applications.
Japanese: GAOはまた、FDAの高レベルの管理者が、OCTへの変更以外の他の申請よりも、この決定の見直しに関与したことを発見した。
A: | Yes | 9 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.6144536733627319,
-0.12857559323310852,
0.2755669951438904,
-0.031107192859053612,
0.4408215284347534,
-0.5227904319763184,
-0.08101584017276764,
0.2937811613082886,
-0.1857866644859314,
-0.13048098981380463,
-0.14007940888404846,
0.3252459764480591,
-0.20441275835037231,
0.318021118640... |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Input: Consider Input: Text: 'you're doubling back a wee bit'
Output: English
Input: Consider Input: Text: 'credo di si'
Output: Italian
Input: Consider Input: Text: 'Ogni cellula e tessuto del corpo contiene proteine, che si trovano nei muscoli, nelle ossa, nei capelli, nelle unghie e nella pelle. Quindi, buona parte delle calorie che assumi ogni giorno deve provenire dalle proteine. Un uomo di 70 kili ha bisogno di 50 o 60 grammi di proteine al giorno, mentre una donna di 55 kili ha bisogno di 40 o 50 grammi circa.'
| Output: Italian
| 2 | NIv2 | task896_miam_language_classification | fs_opt | [
0.19055238366127014,
0.6866148710250854,
0.36243411898612976,
-0.0481390617787838,
0.029028354212641716,
-0.35493695735931396,
-0.16110201179981232,
1.0766441822052002,
-0.017305925488471985,
-0.196159228682518,
-0.348763108253479,
-0.0733535960316658,
-0.07870081067085266,
-0.364749222993... |
Q: 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.
Passage: During the 1913 Ballets Russes season in Paris, Monteux conducted two more premieres. The first was Jeux, with music by Debussy and choreography by Nijinsky. The choreography was not liked; Monteux thought it "asinine", while Debussy felt that "Nijinsky's cruel and barbarous choreography ... trampled over my poor rhythms like so many weeds". The second new work was Stravinsky's The Rite of Spring given under the French title, Le sacre du printemps. Monteux had been appalled when Stravinsky first played the score at the piano:
I decided then and there that the symphonies of Beethoven and Brahms were the only music for me, not the music of this crazy Russian. ... My one desire was to flee that room and find a quiet corner in which to rest my aching head. Then [Diaghilev] turned to me and with a smile said, "This is a masterpiece, Monteux, which will completely revolutionize music and make you famous, because you are going to conduct it." And, of course, I did.
Despite his initial reaction, Monteux worked with Stravinsky, giving practical advice to help the composer to achieve the orchestral balance and effects he sought. Together they worked on the score from March to May 1913, and to get the orchestra of the Théâtre des Champs-Élysées to cope with the unfamiliar and difficult music Monteux held seventeen rehearsals, an unusually large number. Monteux's real attitude to the score is unclear. In his old age he told a biographer, "I did not like Le Sacre then. I have conducted it fifty times since. I do not like it now." However, he told his wife in 1963 that the Rite was "now fifty years old, and I do not think it has aged at all. I had pleasure in conducting the fiftieth anniversary of Le Sacre this spring".
Question: What is the name of the person Monteux referred to as a crazy Russian?
A: | Stravinsky. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.7801743745803833,
0.32736659049987793,
-0.9788144826889038,
0.3475313186645508,
0.8297629952430725,
-0.14041179418563843,
1.1245174407958984,
0.5270891785621643,
0.20393827557563782,
0.47045445442199707,
-0.6802773475646973,
0.45425015687942505,
-0.8070590496063232,
0.3892678916454315,
... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: Consider Input: The Minister of State for Road Transport Highways, Shipping and Chemicals Fertilizers Shri Mansukh L Mandaviyainan interview said that several significant steps have been taken by thepresent Government to boost and develop coastal shipping as the most efficient mode of transportation of cargo.
Output: نئی دہلی،25اکتوبر،سڑک ٹرانسپورٹ ، شاہراہوں ، جہاز رانی اور کمیکل وفرٹیلائزر کے وزیر مملکت جناب منسکھ لال منڈاویا نے ایک انٹرویو میں کہا ہے کہ موجودہ حکومت نے ساحلی جہاز رانی کو سامان کی نقل وحمل کا ایک مؤثر ذریعہ بنانے کے لئے کئی اہم اقدامات کئے ہیں۔
Input: Consider Input: Cabinet approves Amendment of in the Customs and Excise Act, relating to abolition of cesses and surcharges on various goods and services to facilitate implementation of GST Regime
Output: کابینہ نے جی ایس ٹی نظام کو سہل بنانے کیلئے مختلف اشیاء اور خدمات پر ٹیکسوں اور سرچارجوں کو ختم کرنے سے متعلق کسٹمز اینڈ ایکسائز ایکٹ میں ترمیم کرنے کو منظوری دی۔
Input: Consider Input: Revival of Paper Mills in Assam
| Output: آسام میں پیپرملز کا احی
| 2 | NIv2 | task1057_pib_translation_english_urdu | fs_opt | [
-0.12458756566047668,
0.1704142838716507,
0.23195567727088928,
-0.8837672472000122,
-0.18955089151859283,
-0.11766941845417023,
0.43484243750572205,
0.913404107093811,
-0.31073689460754395,
0.21757104992866516,
-0.4832504689693451,
-0.045883432030677795,
-0.5366619825363159,
-0.05646903812... |
TASK DEFINITION: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
PROBLEM: Manchester United have bid £60million for Bayern Munich striker Thomas Muller, according to reports in Germany. The Red Devils have been linked with a move for the German star all summer with Muller admitting he has a special relationship with Louis van Gaal. And German daily Sport BILD claim that United have now made a bumper offer to rival their record fee spent on Angel di Maria in a bid to lure Muller to Old Trafford. Wayne Rooney, Javier Hernandez and James Wilson are the only senior out-and-out strikers at United, although Van Gaal insists signing a forward is 'not a priority' with the likes of Adnan Januzaj and Memphis Depay providing alternatives.BILD claim Manchester United have made £60m offer for Thomas MullerBayern Munich are desperate to keep hold of Germany strikerArsenal were knocked back when they sounded out Bayern for Muller dealMuller has admitted he has special relationship with Louis van GaalREAD: Chelsea set to seal £22m Pedro transfer as Manchester United give up on Barcelona forwardREAD: Manchester United made shock £15m bid for Sadio Mane
Question:In May, he said: '_ and I have a relationship that goes beyond that which is normal between a player and a coach.
SOLUTION: Manchester United
PROBLEM: (CNN) -- What's happening in Madagascar? Supporters of opposition leader Andry Rajoelina attend a rally in Antananarivo on Monday. Marc Ravalomanana resigned as Madagascar's president after weeks of bitter and deadly political clashes. The military handed power to Andry Rajoelina, the 34-year-old former mayor of Antananarivo. Rajoelina and Ravalomanana have been engaged in a bitter power struggle since the beginning of the year. Despite vowing that he would never give up power without an election or referendum, Ravalomanana fled his presidential palace. The army later stormed the abandoned palace as a show of support for Rajoelina. Analysts believe that Ravalomanana had little choice but to step down once he lost the army's support.Madagascar military hands power to opposition leader Andry RajoelinaUnder Madagascar constitution, Rajoelina to young to become presidentCrisis has plunged poverty-stricken nation into turmoilThousands of people took to the streets to protest rising food prices
Question:_ was first elected president in 2001 and won a second term in 2006.
SOLUTION: CNN
PROBLEM: Wayne Rooney switched his attention from boxing to golf as the Manchester United striker enjoyed a round in Cheshire on Wednesday. The England captain caused a stir at the weekend when a video emerged of him, appearing to be knocked out cold by Sunderland defender Phil Bardsley after an impromptu sparring session in his kitchen. The 29-year-old followed it up just hours later on Sunday with one of the best celebrations of the season after he scored the second in United's 3-0 Barclays Premier League win over Tottenham at Old Trafford. Wayne Rooney took a break from the daily grind by trying out a new club at a golf courseRooney got the rub of the green after driving through Spurs' defence to score United's third on SundayHe celebrated in knockout fashion after the release of a video showing Phil Bardsley flooring him with a jab in his kitchenAnd after the victory consolidated a Champions League spot, the United man headed to the golf course with Liverpool loomingThe Manchester United striker tried out a new club on the course, and said it was above par
Question:But he may have a different swinging celebration up his sleeve if he scores against United's arch-rivals _ this Sunday.
SOLUTION: | Wayne Rooney
| 8 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.650700569152832,
0.5558274984359741,
-0.647934079170227,
0.004378003999590874,
0.4947441816329956,
0.3026057779788971,
1.681682825088501,
1.0022106170654297,
0.43167948722839355,
-0.12895455956459045,
0.23344562947750092,
1.022568941116333,
-1.0351347923278809,
0.2557194232940674,
-0.6... |
You will be given a definition of a task first, then some input of the task.
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
Passage: According to the 2006 Canadian Census (0038.00 census tract), approximately 76% of the residents at Kensington Market are Canadian citizens. Of that 7%, 9% are under the age of 18. This means that 24% of Kensington Markets population is non-Canadian citizens, a figure that speaks to Kensington Markets character as a hub for multiculturalism. Furthermore, in 2011 the National Household Survey reported very similar data. Although the population accounted by citizenship status increased from 2006 and 2011, the percentage of those with Canadian citizenship versus those without the citizenship remained the same. In 2006, 2800 residents reported that they were Canadian citizens whereas 870 residents reported they did not hold Canadian citizenship . In 2011, 2950 residents reported they were Canadian citizens whereas 930 residents reported that they did not hold Canadian citizenship. Comparing this to the Canadian ratio between Canadian and non-Canadian citizenship data from the census for 2006 and 2011 the ratio changed by 0.4% resulting in an increase in non-Canadian citizens within the population that received the long form survey and the National Household survey (Census 2006; Census 2011 NHS). Although this percent increase is small, when speaking on the national scale, this 0.4% increase in ratio involved 32,852,320 respondents for 2011 and 31,241,030 respondents for 2006 (Census 2006; Census 2011). Comparing that with the minimal increase which was 0.3% in ratio for Kensington where the population was not as substantial, this increase is not as substantial as well (Census 2006; Census 2011 NHS).
Question: What year was the population accounted by citizenship status the highest, 2006 or 2011?
Output: | date | 1 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.3842107057571411,
0.5574758648872375,
0.2133316993713379,
-0.30247920751571655,
0.42952433228492737,
-0.486532986164093,
0.5343883037567139,
0.5196493864059448,
-0.060378726571798325,
0.2777366042137146,
-0.24387750029563904,
0.38632088899612427,
-0.6934707164764404,
0.16883379220962524,... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Review: The pin to index the blade broke twice, the first one was replaced the second one was returned for a refund. It might be good for light duty but don't expect it to withstand any hard use.
Rating: 2
| True | 5 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.4895346164703369,
0.12311966717243195,
0.14457967877388,
0.36613398790359497,
0.5526154041290283,
-0.15442483127117157,
0.7198536396026611,
0.5526700019836426,
0.003939357586205006,
0.2539828419685364,
-0.622146487236023,
0.06576026231050491,
-0.6152839660644531,
0.15587663650512695,
... |
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.
Q: Context: To develop a quantitative histopathology algorithm to predict which patients with cutaneous squamous cell carcinoma (cSCC) were likely to experience recurrence or metastases.', 'This retrospective study of cSCC lesions compared patients with aggressive disease (n = 40) and those with nonaggressive disease (n = 35). Based on a previous study using nuclear karyometry, we determined that aggressive lesions had a high proportion of a specific nuclear phenotype. The proportion of those nuclei was used to derive an aggressiveness score for each lesion. The mean age of patients was similar in both groups, as were the locations of index lesions.', 'The mean aggressiveness scorefor cases with aggressive lesions was 0.60 ± 0.21 and was 0.28 ± 0.35 for those with nonaggressive lesions. The overall accuracy in properly characterizing lesions was 72%. The area under the receiver operating characteristic curve was 0.80 ± 0.05. In general, the aggressive nuclear phenotype is represented by elevated levels of chromatin clumps and short linear segments of dark chromatin/intense pixels.
Answer: These data suggest that discriminant functions may be utilized to distinguish between aggressive and nonaggressive lesions at the time of diagnosis.
A: | Does high Proportion of Nuclear Phenotype identify Aggressive Cutaneous Squamous Cell Carcinoma? | 4 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.04443813115358353,
0.4230460524559021,
-0.7498984336853027,
-0.07025812566280365,
0.030227364972233772,
-0.722741961479187,
0.7579889893531799,
0.8518487215042114,
0.4558951258659363,
0.1511574387550354,
-0.2889435291290283,
-0.052124105393886566,
-0.8593602180480957,
0.36753910779953003... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
See one example below:
Problem: Grazas.
Solution: Gracias.
Explanation: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: Non vai volver a pasar.
Solution: | Esto no sucederá. | 4 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.7990679740905762,
0.8574756979942322,
-0.0438760444521904,
-0.42677396535873413,
-0.21513482928276062,
-1.1363775730133057,
0.7841950058937073,
0.430795282125473,
-0.2904438376426697,
-0.38954925537109375,
-0.5448803901672363,
0.3545539975166321,
-0.4526304006576538,
0.5348162651062012,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Mi teoría es que, y aquí no he hecho investigación, es que si pudiéramos ver hacia atrás e investigarlo, encontraríamos que la comedia es la segunda profesión viral más vieja.
E a miña suposición, e non o investiguei, é que se realmente se mirasedes atrás e puidesedes investigar, descubriríase que a comedia é a segunda profesión "" viral "" máis antiga.
Así me veía al finalizar.
Así que ao final tiña esta pinta.
Ahora que las bacterias están diluidas, la pequeña molécula de la hormona se ha ido, así que no están generando luz — pero, por supuesto, al calamar no le importa, está dormido en la arena.
| Agora as bacterias están diluídas, non hai moléculas abondas, así que elas non producen luz, pero á lura élle igual. Está durmindo na area.
| 0 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.5586947202682495,
0.9096745252609253,
-0.5323473811149597,
-0.5008769035339355,
-0.26477253437042236,
-0.49256300926208496,
-0.45710453391075134,
1.1529977321624756,
-0.07080375403165817,
-0.1914130002260208,
-0.33095550537109375,
0.04074076935648918,
-0.6711747646331787,
-0.11380701512... |
Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: The tumor necrosis factor (TNF) gene is located within the highly polymorphic major histocompatibility complex region, exhibiting the -308 GA promoter region polymorphism and six microsatellites (TNFa-f) spanning the region nearby the TNF locus.', 'In the present study, we evaluated the frequency of -308 GA and TNFa-e polymorphisms and respective haplotypes (in chromosomal sequence: TNFd-TNFe-308GA-TNFc-TNFa-TNFb), in 222 patients with AIDS, 52 of whom exhibited cytomegalovirus retinitis, and in 202 healthy HIV-negative individuals.', 'TNF microsatellite and single nucleotide polymorphism typings were performed by PCR followed by polyacrylamide gel electrophoresis.', 'The TNF-308A allele and the 4-3-G-2-7-1 haplotype were associated with susceptibility to AIDS, whereas the TNFb4 allele and the 3-3-G-1-11-4 haplotype were associated with protection against AIDS development. The TNFc2 allele and the 4-1-G-2-2-1 haplotype, which contains the TNFc2 allele, were associated with cytomegalovirus retinitis.\Question: Are tumor necrosis factor region polymorphisms associated with AIDS and with cytomegalovirus retinitis?
Output: | This study highlights that polymorphic sites spanning the region nearby the TNF locus are associated with AIDS per se and with cytomegalovirus retinitis in AIDS patients. | 3 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.08977024257183075,
0.094577856361866,
-0.696051299571991,
0.5554252862930298,
0.23797518014907837,
-0.6564955711364746,
0.04224761575460434,
1.1491917371749878,
0.2614147663116455,
0.46081221103668213,
-0.980146050453186,
0.5717487335205078,
-0.8714479804039001,
-0.008992509916424751,
... |
Part 1. Definition
In this task, you are given a country name, and you need to return the country's surface area in terms of square kilometers. Up to two decimal places are allowed in your answer.
Part 2. Example
Angola
Answer: 1246700.00
Explanation: Surface area of the given country Angola is 1246700.00 square-kilometer
Part 3. Exercise
Cayman Islands
Answer: | 264.00 | 7 | NIv2 | task1428_country_surface_area | fs_opt | [
0.3500089645385742,
0.6634005308151245,
-0.3192261755466461,
-1.1324453353881836,
-0.516228973865509,
-0.27447402477264404,
-0.1556985080242157,
-0.08251207321882248,
-0.7782624959945679,
-0.17413848638534546,
-0.5339535474777222,
0.019488943740725517,
-0.2526512145996094,
-0.0254220739006... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: A big outdoor market along a fence. Sentence 2: The market sells carrots. | A flea market. | 0 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.8203380107879639,
1.032224416732788,
0.3442073166370392,
-0.4362640976905823,
-0.06947074085474014,
0.13228446245193481,
-0.26988232135772705,
0.7742519378662109,
-0.0019083977676928043,
-0.386415034532547,
-1.1892778873443604,
-0.4145607054233551,
-0.714120626449585,
0.1589138060808181... |
Detailed Instructions: 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.
Problem:I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP
Solution: | run left twice and jump opposite left thrice | 8 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.0942760556936264,
1.0335192680358887,
-0.5279872417449951,
-0.11018063127994537,
-0.13623538613319397,
0.6081095933914185,
0.14956648647785187,
0.6030530333518982,
-0.49628162384033203,
-0.5366833209991455,
-0.9624923467636108,
-0.3550948202610016,
-0.7599561214447021,
-0.000150640727952... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Q: Psychiatric service dog -- A psychiatric service dog is a specific type of service dog trained to assist their handler with a psychiatric disability or a mental disability, such as post-traumatic stress disorder, schizophrenia, depression, anxiety, and bipolar disorder .
A: is a psychiatric service dog a service dog
****
Q: Spanish rice -- Spanish rice, Mexican rice, red rice or arroz rojo is a Mexican side dish or an ingredient in other dishes made from white rice, tomatoes, garlic, onions, etc. It is traditionally made by sautéing the rice in a skillet with oil or fat until it is colored golden brown. Water or chicken broth is then added, along with tomatoes in the form of chopped tomatoes or tomato sauce.
A: is there a difference between spanish rice and mexican rice
****
Q: Wisdom tooth -- A wisdom tooth or third molar is one of the three molars per quadrant of the human dentition. It is the most posterior of the three. Wisdom teeth generally erupt between the ages of 17 and 25. Most adults have four wisdom teeth, one in each of the four quadrants, but it is possible to have none, fewer, or more, in which case the extras are called supernumerary teeth. Wisdom teeth commonly affect other teeth as they develop, becoming impacted. They are often extracted when or even before this occurs.
A: | can a person have more than 4 wisdom teeth
****
| 4 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
-0.2605905532836914,
-0.24499711394309998,
-0.11335132271051407,
-0.35350507497787476,
-0.03478820621967316,
-0.2353312075138092,
0.6007633209228516,
1.4842678308486938,
0.1536569595336914,
-0.38116544485092163,
-0.4159318506717682,
0.36615419387817383,
0.17116259038448334,
-0.116922274231... |
Detailed Instructions: 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 have never been on a cruise ship.
I'm a woman who wears a size 12.
I go to dance lessons with my boyfriend.
I love to shop on weekends.
Chat history: -Good morning how are you today.
-Hey there how are you? I like nikes only.
-I was on a cruise ship.
-I'm well feeling way better today, you?
-Glad to hear that. I'm going shopping.
-Like books? I love Jane Austen.
-I love books by Stephen king.
-What type of shopping you going too?
-Clothes and purses and shoes.
-I'd be scared reading his novels on my boat lol.
-I do get a little scared but that's what makes it fun.
-Where at? I need to go shopping also soon.
Solution: | It is fun but I go broke so fast. | 8 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.38140249252319336,
-0.1368420422077179,
-0.6395148634910583,
-0.2987297475337982,
0.02778557501733303,
-0.012585829012095928,
0.8549253940582275,
-0.3427612781524658,
-0.3047235906124115,
0.004533638246357441,
0.2558293342590332,
-0.07300293445587158,
-1.0188462734222412,
-0.12040188908... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Input: Consider Input: What term means an area where two closely related species continue to interact and reproduce?
Output: homozone
Input: Consider Input: Where does oxygen enter the blood?
Output: in the heart
Input: Consider Input: What property does coulomb electric force depend upon?
| Output: electric case
| 2 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.27425462007522583,
1.2529690265655518,
-0.46943700313568115,
0.13759231567382812,
0.10053001344203949,
-0.29272744059562683,
-0.05311233922839165,
-0.6503110527992249,
0.03114943951368332,
-0.3665522336959839,
-0.6401499509811401,
0.034220483154058456,
-0.3366743326187134,
-0.2512573599... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
One example: Passage: In 1763, Spain traded Florida to the Kingdom of Great Britain for control of Havana, Cuba, which had been captured by the British during the Seven Years' War. It was part of a large expansion of British territory following the country's victory in the Seven Years' War. Almost the entire Spanish population left, taking along most of the remaining indigenous population to Cuba. The British soon constructed the King's Road connecting St. Augustine to Georgia. The road crossed the St. Johns River at a narrow point, which the Seminole called Wacca Pilatka and the British named "Cow Ford", both names ostensibly reflecting the fact that cattle were brought across the river there.
Solution is here: Who owned Cuba after the Eight Years War?
Explanation: This question appears to be relevant to the passage as both involves words such as 'Cuba' and 'War' which also exist in the passage. The passage mentions that "after the war, almost the entire Spanish population left, taking along most of the remaining indigenous population to Cuba". This information is not sufficient to conclude that which country owned cuba.
Now, solve this: Passage: In March 2006, it was revealed by the Archivist of the United States in a public hearing that a memorandum of understanding between NARA and various government agencies existed to "reclassify", i.e., withdraw from public access, certain documents in the name of national security, and to do so in a manner such that researchers would not be likely to discover the process (the U.S. reclassification program). An audit indicated that more than one third withdrawn since 1999 did not contain sensitive information. The program was originally scheduled to end in 2007.
Solution: | In what year was the Archivist of the US hired? | 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.7556347846984863,
0.45604169368743896,
-0.7205830812454224,
-0.5236322283744812,
-0.10607825219631195,
-0.3267226219177246,
1.2384281158447266,
0.9446350932121277,
0.04602576419711113,
0.23118412494659424,
-0.6466168165206909,
0.24331972002983093,
-0.8530391454696655,
0.3412226140499115,... |
Given a passage, 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.
Let me give you an example: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
The answer to this example can be: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Here is why: The question is based on the following sentences from the passage (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) They were also associated with increased blood eosinophilia
OK. solve this:
Multiple studies support a role for inflammation in the pathogenesis of coronary atherosclerosis and unstable cardiac syndromes. However, of the known proinflammatory cytokines, only elevated plasma levels of interleukin-6 have been linked to unstable angina. We sought to examine the plasma levels of other major proinflammatory cytokines in similar clinical settings and to determine the extent of the relationship between inflammation and unstable coronary syndromes by measuring the levels of various proinflammatory cytokines in patients with stable and unstable angina.', 'We measured plasma levels of interleukin-1 beta (IL-1beta), tumor necrosis factor alpha (TNF-alpha), and interleukin 6 (IL-6) in 97 patients: 67 with stable angina, 24 with unstable angina, and 15 healthy controls.', 'Mean levels of IL-1beta were significantly higher in patients with unstable angina as compared to patients with stable angina (p =.009). Levels of IL-6 were significantly higher than control patients for both stable angina and unstable angina patients (p =.031 and.006, respectively). No significant differences were found in the levels of TNF-alpha.
Answer: | Are circulating levels of IL-1beta , a prothrombotic cytokine , elevated in unstable angina versus stable angina? | 8 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.47963887453079224,
0.36928194761276245,
-0.13167467713356018,
-0.18994349241256714,
0.7174422144889832,
-0.5773239135742188,
0.26467829942703247,
0.6371968984603882,
-0.3559260368347168,
-0.07278481125831604,
-0.437985897064209,
0.041080817580223083,
-0.8927403688430786,
0.45220750570297... |
Given the task definition and input, reply with output. You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Let r = 1/6632 - -401227/59688. Find the common denominator of r and 77/8.
| numbers | 5 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.011898699216544628,
0.27308785915374756,
0.0874447301030159,
0.009243052452802658,
0.4114375710487366,
0.8013935685157776,
-0.19982384145259857,
0.6747100353240967,
0.26041722297668457,
-0.31636956334114075,
-0.8416008949279785,
-0.2261708378791809,
-0.5385018587112427,
0.192659616470336... |
The provided file includes inquiries about restaurants in Persian, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Example: آيا هيچ رستوران " italian " در اين نزديکي با نقد و بررسي 10 ستاره وجود دارد؟
Example solution: are there any " italian " restaurants nearby with 10 star reviews ?
Example explanation: The translation correctly preserves " italian " entity and is accurate
Problem: به دنبال " mai lee " بگرد .
| Solution: look for " mai lee " . | 5 | NIv2 | task258_spl_translation_fa_en | fs_opt | [
-0.6968868374824524,
0.6708564758300781,
-0.014349485747516155,
0.030817832797765732,
-0.15851037204265594,
-0.2588609457015991,
0.8653826713562012,
0.7321250438690186,
-0.28459230065345764,
-0.3142200708389282,
0.1567656695842743,
0.528852641582489,
-0.2540842592716217,
0.4905191063880920... |
Given the task definition and input, reply with output. In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
[5, 1, 3, 1, 3, 8, 3] , [1, 2, 9, 3, 9, 7, 3]
| [1, 3] | 5 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.05760452151298523,
0.07940386980772018,
-0.13926899433135986,
-0.28625059127807617,
0.33694303035736084,
0.36118608713150024,
0.4732130765914917,
-0.0013087159022688866,
0.10203433781862259,
0.18711259961128235,
-0.847650408744812,
-0.3653865456581116,
-0.17426839470863342,
0.05830615758... |
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 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.
The trophy doesn't fit into the brown suitcase because _ is too large.
Solution: trophy.
Why? Answer is one of the objects ("trophy" and "suitcase") in the question. Since the blank is a "large" object that didn't fit the "suitcase", the answer must be "trophy".
New input: To shoot the commercial, the director asked the actors stand on soapboxes then stare into the cameras because the _ were too high to capture them.
Solution: | cameras | 0 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
-0.06438875943422318,
0.4626055359840393,
0.02739838883280754,
-0.48718497157096863,
0.25253090262413025,
-0.22923855483531952,
0.7202737331390381,
0.9112072587013245,
0.0203927643597126,
-0.27451804280281067,
0.12639684975147247,
-0.29599088430404663,
0.2961227297782898,
-0.14279428124427... |
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.
Example input: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.
Example output: a
Example explanation: Marcus is buying clothes for a business event and not presenting an idea.
Q: Title: Road Block. Sentence 1: Fred drove his car along a country road at night. Sentence 2: Up ahead was a police car blocking the road. Sentence 3: Fred, a wanted con, hit the brakes and stopped his car. Sentence 4: He threw the car into reverse and drove backwards. Choices: a. So now I'm back to having a gap in my teeth. b. The policeman saw this and decided to chase after.
A: | b | 3 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.53840571641922,
-0.14006862044334412,
0.052946221083402634,
0.30890750885009766,
0.1436232477426529,
-0.11700388789176941,
0.43166041374206543,
1.0665900707244873,
-0.18038606643676758,
0.2057613879442215,
-1.055282711982727,
-0.38415396213531494,
0.2193266749382019,
-0.05715272575616836... |
Given a sentence in Hindi, generate a new Hindi 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.
आप अकसर काम में एक संरचना समझते हैं । | आप अक्सर एक महल में राजा चुनते हैं. | 0 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.42615053057670593,
0.7998189330101013,
0.31377848982810974,
0.4417799711227417,
-0.1573404222726822,
-0.8415881395339966,
0.09431790560483932,
0.80400550365448,
-0.08572745323181152,
-0.7967687845230103,
-1.3127639293670654,
-0.3924911618232727,
0.23822137713432312,
0.3981737792491913,
... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Q: Enkele twintigers hebben zich inmiddels gemeld en krijgen een plaats op de uitgewerkte lijsten die later bekend worden gemaakt .
A: | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.08496500551700592,
0.42846181988716125,
-0.1428947150707245,
-0.2536068260669708,
-0.47082510590553284,
-0.3200133442878723,
0.966431736946106,
-0.295565664768219,
0.6139992475509644,
-0.6861734986305237,
-0.46599096059799194,
0.9144998788833618,
-0.33026471734046936,
0.04806266725063324... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
They send them more carbon below ground.
A: | 自分の子供たちには地下でもっと炭素を送ります | 7 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.42702716588974,
-0.05691677704453468,
0.33487915992736816,
-0.9819464683532715,
0.006179122254252434,
-1.4815025329589844,
0.32207340002059937,
0.20380648970603943,
0.3986606001853943,
-0.7989024519920349,
-0.16572268307209015,
-0.1661270558834076,
-0.30914685130119324,
0.96298593282699... |
Detailed Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
See one example below:
Problem: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Question: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Solution: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.
Explanation: The output says that ILC2s are elevated in patients with CRSwNP and that they may drive nasal polyp formtion in CRS. The output also says that ILC2s are linked with blood eosinophilia and hence, it completely answers the question on the basis of the information in the context.
Problem: Context: Clinically, early life stress and anxiety disorders are associated with increased vulnerability for alcohol use disorders. In male rats, early life stress, imparted by adolescent social isolation, results in long-lasting increases in a number of behavioral risk factors for alcoholism, including greater anxiety-like behaviors and ethanol (EtOH) intake. Several recent studies have begun to use this model to gain insight into the relationships among anxiety measures, stress, EtOH intake, and neurobiological correlates driving these behaviors. As prior research has noted significant sex differences in the impact of adolescent stress on anxiety measures and EtOH drinking, the current study was conducted to determine if this same model produces an "addiction vulnerable" phenotype in female rodents.', 'Female Long Evans rats were socially isolated (SI; 1/cage) or group housed (GH; 4/cage) for 6\xa0weeks during adolescence. After this housing manipulation, behavioral assessment was conducted using the elevated plus maze, response to novelty in an open field environment, and the light/dark box. After behavioral testing, home cage EtOH drinking was assessed across an 8-week period.', 'No group differences were detected in any of the behavioral measures of unconditioned anxiety-like behavior. Greater EtOH intake and preference were observed in SI females but these differences did not persist.\Question: Does adolescent social isolation lead to persistent increases in anxiety- like behavior or ethanol intake in female long-evans rats?
Solution: | The SI/GH model, which results in robust and enduring increases in anxiety measures and EtOH self-administration in male Long Evans rats, did not result in similar behavioral changes in female rats. These data, and that of others, suggest that adolescent social isolation is not a useful model with which to study neurobiological substrates linking antecedent anxiety and addiction vulnerability in female rats. Given the compelling epidemiological evidence that the relationship between chronic adolescent stress and alcohol addiction is particularly strong in women, there is clearly an urgent need to identify a more effective model with which to study these clinically important relationships in female rodents. | 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.07994812726974487,
0.5849554538726807,
-0.5003277063369751,
-0.32722246646881104,
0.3534769117832184,
-0.31082266569137573,
0.3998474180698395,
0.7941168546676636,
0.0034876936115324497,
0.18809092044830322,
-0.39264538884162903,
-0.0282000582665205,
-0.896699845790863,
0.266255795955657... |
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Questions: ['when is justin biebers birthday?'] | 1994-03-01 | 0 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | zs_opt | [
0.22779810428619385,
0.9303908944129944,
-0.6026532649993896,
-0.03206395357847214,
-0.7061716318130493,
-0.5949890613555908,
0.7494559288024902,
-0.6806610822677612,
-0.3959657549858093,
0.024645358324050903,
-0.19136829674243927,
-0.0756588876247406,
-0.7303308248519897,
0.37128561735153... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example input: Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / 6 , d ) 1 , e ) none of these
Example output: d
Example explanation: "explanation : 2 / 3 = . 66 , 3 / 4 = . 75 , 4 / 5 = . 8 and 5 / 3 = 1.66 so the biggest is 5 / 3 and the smallest is 2 / 3 their difference is 5 / 3 - 2 / 3 = 3 / 3 = 1 option d"
Q: Problem: a special municipal payroll tax charges not tax on a payroll less than $ 200,000 and only 0.2 % on a company ’ s payroll above $ 200,000 . if belfried industries paid $ 200 in this special municipal payroll tax , then they must have had a payroll of ?
Options: a ) $ 180,000 , b ) $ 202,000 , c ) $ 220,000 , d ) $ 300,000 , e ) $ 2 , 200,000
A: | d | 3 | NIv2 | task1420_mathqa_general | fs_opt | [
-0.4868403971195221,
0.8125925064086914,
-0.5272455811500549,
0.3844335079193115,
-0.1489006131887436,
0.4249249994754791,
0.8311240077018738,
0.6683173179626465,
0.2734536826610565,
0.2150941789150238,
-0.2731451392173767,
0.2254660427570343,
0.5213185548782349,
-0.3076326847076416,
0.4... |
Detailed Instructions: 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".
Problem:Japanese: WA水産局は、懲役刑は犯罪が深刻だと考えられていることを反映していると言っている。
Lao: ກົມການປະມົງພາກຕາເວັນຕົກປະເທດອົດສະຕາລີກ່າວວ່າຂໍ້ກຳນົດການຈຳຄຸກແມ່່ມສະທ້ອນໃຫ້ເຫັນວ່າການກະທຳຜິດແມ່ນຖືກເບິ່ງວ່າເປັນເລື່ອງຮຸນແຮງ.
Solution: | Yes | 8 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.09234315156936646,
-0.2051594853401184,
-0.04761548340320587,
-0.3566993474960327,
-0.10116584599018097,
-0.8149811029434204,
0.04244343563914299,
0.9476247429847717,
-0.25249454379081726,
-0.7095814943313599,
-0.08378268778324127,
0.18772092461585999,
-0.6365933418273926,
0.76345753669... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Example: 2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example solution: 34, 7, 762
Example explanation: Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'.
Problem: 3, 5, ['K', '2401', 'A', 'v', '7831', 'g', 'R', 'E', '1273', 'X', 'O', 'P', 'q', '2683', 'F', '3653', '5679', '9405', '2063']
| Solution: A, E, q, 9405 | 5 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
-0.010528691112995148,
0.01944366842508316,
-0.6359654068946838,
-0.6226294040679932,
-0.4502865672111511,
0.1320504993200302,
0.5655090808868408,
0.2397921085357666,
-0.4167864918708801,
0.13352423906326294,
-0.6093792915344238,
-0.22334274649620056,
0.1561189889907837,
-0.002009297721087... |
Instructions: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Input: name[xname], recommend[yes], cuisine[Mediterranean], decor[acceptable], qual[acceptable], location[TriBeCa/SoHo], price[expensive], service[bad]
Output: | Since xname is an Mediterranean place and expensive. xname is in TriBeCa/SoHo with decent food, acceptable decor and rude staff, xname is the best restaurant. | 3 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.5380821228027344,
0.45255735516548157,
-0.4278969168663025,
0.14557701349258423,
-0.23380537331104279,
-0.1507476568222046,
0.6198493242263794,
0.3023906350135803,
0.06546378135681152,
-0.007697505876421928,
0.6830940246582031,
-0.22501341998577118,
-0.4228683412075043,
-0.0423939749598... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Q: Title: Afternoon tea. Sentence 1: Suzy was invited to afternoon tea. Sentence 2: She had never attended one before. Sentence 3: But when she got there there were etiquette lessons. Sentence 4: Suzy was taught proper behavior.
A: | They quickly sent her out the proper food. | 9 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.2758753001689911,
0.9135245680809021,
0.84335857629776,
-0.48545023798942566,
-0.06984317302703857,
-0.23261596262454987,
0.29434409737586975,
0.27182435989379883,
0.11175638437271118,
-0.03230942040681839,
0.07537796348333359,
-0.20358026027679443,
0.24576614797115326,
0.27656006813049... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: Consider Input: [[39, 9, 1], [43, -3, 2, 17]]
Output: [351, -4386]
Input: Consider Input: [[18, 18, -23, 12], [-34, 34, 15, -17], [43, -35, -23, 8], [47, -23, 18], [-26, 35, 41, 25, 35], [13, -3, -13, -15, -6], [-22, -26, 22, -11, -12], [25, -30, -42, -21]]
Output: [-89424, 294780, 276920, -19458, -32646250, 45630, 1661088, -661500]
Input: Consider Input: [[31, 22, 16], [-40, -26, -48], [2, -46, 15], [19, -47], [-8, -45], [-12, 27]]
| Output: [10912, -49920, -1380, -893, 360, -324]
| 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.012567414902150631,
0.21901077032089233,
-0.756503164768219,
-0.2610582113265991,
-0.31792372465133667,
-0.22255149483680725,
0.9321585297584534,
0.6999427676200867,
-0.4992560148239136,
0.08127062022686005,
-0.959807276725769,
-0.09854243695735931,
-0.6743927001953125,
-0.6600368618965... |
Detailed Instructions: 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".
Q: English: Television journalist Ahmed al-Mullah said that traffic police saw Saray's car veer off the road and crash but did not hear any gunshots.
Hindi: सोमवार को 51 लोगों की शूटिंग पिछले सप्ताह की हिंसा के बाद हुई, जिसमें काहिरा में 36 लोग मारे गए।
A: | No | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.16544973850250244,
-0.18291887640953064,
1.1863412857055664,
0.07682237029075623,
0.00539951678365469,
-0.5220550894737244,
-0.07431836426258087,
0.7936263084411621,
-0.23198199272155762,
-0.36625945568084717,
0.30716779828071594,
0.14066025614738464,
-0.5185848474502563,
0.639047265052... |
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 commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
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 the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
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 the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution: yes
Why? Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
New input: Command: less { hop { filter_eq { all_rows ; date ; april 18 } ; score } ; hop { filter_eq { all_rows ; date ; april 21 } ; score } }, interpretation: the average of the away team score record of all rows is 14.2 .
Solution: | no | 0 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.1439833641052246,
-0.12405471503734589,
-0.28912532329559326,
0.5701777935028076,
0.42096394300460815,
-0.6064802408218384,
0.03149597346782684,
0.6485998630523682,
0.009596756659448147,
0.015260482206940651,
-0.43755000829696655,
0.4913075566291809,
0.0531553253531456,
0.63693642616271... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['well', 'welcome', 'to', 'the', 'third', 'in', 'the', 'series', 'of', 'algebra', 'of', 'age', 'word', 'problems', 'and', 'I', 'just', 'wanted', 'to', 'start', 'off', 'where', 'I', 'left', 'off', 'in', 'the', 'second', 'one', 'I', 'got', 'myself', 'confused', 'you', 'guys', 'make', 'me', 'very', 'nervous', 'while', 'you', 'just', 'sit', 'there', 'and', 'listening', 'and', 'I', 'have', 'to', 'perform', 'for', 'you', 'but', 'it', 'turns', 'out', 'we', 'did', 'get', 'the', 'right', 'answer', 'if', 'you', 'say', 'armand', 'is', '153', 'andthe', 'rouge', 'is', '765', 'then', '85', 'years', 'ago', 'armand', 'would', 'have', 'been', '68', 'and', 'Tharu', 'should', 'have', 'been', '680', 'and', 'that', 'notice', "that's", '10', 'times', 'so', 'it', 'worked', 'out', 'so', "we're"] | ['well', 'welcome', 'to', 'the', 'third', 'in', 'this', 'series', 'of', 'algebra', 'of', 'age', 'word', 'problems.', 'And', 'I', 'just', 'wanted', 'to', 'start', 'off', 'where', 'I', 'left', 'off', 'in', 'the', 'second', 'one.', 'I', 'got', 'myself', 'confused.', 'You', 'guys', 'make', 'me', 'very', 'nervous', 'while', 'you', 'just', 'sit', 'there', 'and', 'listening', 'and', 'I', 'have', 'to', 'perform', 'for', 'you.', 'But,', 'it', 'turns', 'out', 'we', 'did', 'get', 'the', 'right', 'answer,', 'if', 'you', 'say', 'Arman', 'is', '153', 'and', 'Tarush', 'is', '765,', 'then', '85', 'years', 'ago', 'Arman', 'would', 'have', 'been', '68', 'and', 'Tarush', 'would', 'have', 'been', '680', 'and', 'that', 'notice', "that's", '10', 'times.', 'So', 'it', 'worked', 'out.', 'So', "we're"] | 0 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.7433584928512573,
0.4818747639656067,
-0.05800844728946686,
-0.596659243106842,
0.4300292134284973,
-0.6007438898086548,
-0.08069637417793274,
0.8851209878921509,
-0.1761922538280487,
0.439572811126709,
-0.5082792043685913,
-0.4940663278102875,
-0.41384029388427734,
-0.5189007520675659,
... |
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.
7, 7, ['P', 'j', 'Z', '693', '3865', 'I', 'o', 'L', '185'] | o | 0 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.7759800553321838,
0.8453673720359802,
-0.2904879152774811,
-0.4224139451980591,
-0.014485852792859077,
0.11200373619794846,
0.5073307156562805,
-0.23240286111831665,
0.038045287132263184,
-0.23480534553527832,
-0.9308681488037109,
0.17409658432006836,
0.11037862300872803,
-0.27027446031... |
Given the task definition and input, reply with output. In this task, you are given a question in Persian, and your task is to translate it into English.
آیا ترس از آینده در ۱۹ سالگی طبیعی است؟
| Is it normal to fear the future at 19? | 5 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.8177472352981567,
1.096001386642456,
0.1929243803024292,
-0.5485771894454956,
-1.0912419557571411,
0.41202810406684875,
0.33868342638015747,
-0.0486692376434803,
0.7838813662528992,
0.08644416928291321,
-0.6433727741241455,
1.2408843040466309,
-1.037023901939392,
0.03217686340212822,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: The farmer demanded more bread from the baker because he was hungry.
Profession: baker
Output: | Unidentifiable | 1 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-0.9114077091217041,
0.6353058815002441,
-0.34715408086776733,
-0.24902240931987762,
-0.047508660703897476,
0.5294303894042969,
-0.11879933625459671,
0.7371928691864014,
0.3580944538116455,
0.062301091849803925,
-1.2796008586883545,
0.12449304759502411,
0.0295666866004467,
-0.2516761422157... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: try to keep him calm,
Output: | . سعي کنيد آروم نگهش داريد | 2 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.535262942314148,
0.9801632165908813,
-0.02071152999997139,
-0.6773011684417725,
-0.3158203363418579,
-0.4796702265739441,
0.6228311061859131,
0.42981603741645813,
0.28953707218170166,
0.3117152452468872,
-0.955539882183075,
0.7851282358169556,
-1.0219662189483643,
0.21680961549282074,
... |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Example: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National Basketball Association.
Example solution: 1975 - 76年の全米バスケットボール協会のシーズンは、NBAの第30シーズンでした。
Example explanation: This is a correct and accurate translation from Spanish to Japanese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Problem: La escuela está conectada con el departamento secundario de la escuela autista Ysgol Plas Brondyffryn, que se construyó en 2003.
| Solution: 学校は2003年に建てられた自閉症学校Ysgol Plas Brondyffrynの中等部と連携しています。 | 5 | NIv2 | task800_pawsx_spanish_japanese_translation | fs_opt | [
0.5211302042007446,
-0.7036504745483398,
-0.29063880443573,
-0.2761891484260559,
0.41735193133354187,
-0.8863009810447693,
0.5437540411949158,
0.2547820210456848,
0.1717928797006607,
0.11188334971666336,
-0.10902536660432816,
1.152673363685608,
-0.9293317794799805,
-0.2815245985984802,
-... |
Definition: In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc.
Input: For example , 1 megawatt equals 1,000,000 watts .
Output: | Physical quantities can also be expressed using the SI prefix mega ( M ) , when dealing with SI units ; for example , 1 megawatt ( 1 MW ) equals 1,000,000 watts . | 2 | NIv2 | task955_wiki_auto_style_transfer | zs_opt | [
-0.41407644748687744,
1.0849030017852783,
-0.1354820430278778,
-0.40947282314300537,
-0.039581846445798874,
-0.8407957553863525,
-0.07061294466257095,
0.4489586353302002,
0.4073864221572876,
-0.6297826170921326,
-0.6954401135444641,
-0.6641775369644165,
-0.2013956606388092,
-0.005756220314... |
Teacher:In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Teacher: Now, understand the problem? Solve this instance: Passage: Beauty and the Beast (2017 film) -- After sharing a romantic dance with the Beast, Belle discovers her father's predicament using a magic mirror. The Beast releases her to save Maurice, giving her the mirror to remember him with. At Villeneuve, Belle reveals the Beast in the mirror to the townsfolk, proving her father's sanity. Realizing that Belle loves the Beast, a jealous Gaston claims she has been charmed by dark magic, and has her thrown into the asylum carriage with her father. He rallies the villagers to follow him to the castle to slay the Beast before he curses the whole village. Maurice and Belle escape, and Belle rushes back to the castle.
Question: does maurice die in beauty and the beast
Student: | 0 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.8713721632957458,
1.4722115993499756,
-0.682305634021759,
-0.27375420928001404,
-0.22529852390289307,
-0.2849242091178894,
0.5090469121932983,
0.6447553634643555,
0.15625105798244476,
0.28953421115875244,
-0.16675259172916412,
0.09173286706209183,
0.06528829783201218,
0.21310493350028992... |
You will be given a definition of a task first, then some input of the task.
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
lower, emotional, down, kind, loveful
Output: | lower | 1 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
-0.15106201171875,
0.6789795160293579,
0.29138877987861633,
0.19475588202476501,
0.16878074407577515,
-0.2406999170780182,
0.6871939897537231,
-0.06287315487861633,
-0.14237625896930695,
-0.11511583626270294,
-0.8796424865722656,
-0.20031827688217163,
-0.6703464984893799,
0.078528426587581... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
One example is below.
Q: University of mississippi was in the selc new conference.
A: [['University of Mississippi', 'NEW_CONFERENCE', 'SELC']]
Rationale: This is a good example since the subject of the sentence is University of Mississipi and it is connected to the object (SELC) via the predicate (new_conference). The output RDF captures the key elements of the sentence and is easily interpretable as well.
Q: The Asser Levy Public Baths are located in New York City in the U.S. Both Manhattan (led by Cyrus Vance Jr.) and Brooklyn are a part of New York City.
A: | [['Asser Levy Public Baths', 'LOCATION', 'New York City'], ['New York City', 'COUNTRY', 'United States'], ['Manhattan', 'LEADER_NAME', 'Cyrus Vance, Jr.'], ['New York City', 'IS_PART_OF', 'Manhattan'], ['New York City', 'IS_PART_OF', 'Brooklyn']] | 9 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.264873206615448,
0.22379788756370544,
-0.8271842002868652,
-0.013019943609833717,
-0.2816731333732605,
0.09331949055194855,
-0.12716731429100037,
0.1330987960100174,
0.5555092096328735,
-0.2461848109960556,
-0.4613056778907776,
0.4307348430156708,
-0.39897486567497253,
0.658590197563171... |
Q: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: 18:22 At nang kaniyang masabi ito, ay sinampal si Jesus ng isa sa mga punong kawal na nakatayo roon, na nagsasabi, Ganyan ang pagsagot mo sa dakilang saserdote?
A: | Tagalog | 7 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.2062077820301056,
0.6891986131668091,
0.21980291604995728,
0.1091991737484932,
-0.30969712138175964,
-1.2537953853607178,
-0.164648175239563,
0.33937907218933105,
0.5015731453895569,
0.5505469441413879,
0.16839498281478882,
1.0499205589294434,
-0.5484762191772461,
0.053033798933029175,
... |
Detailed Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
See one example below:
Problem: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Question: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Solution: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.
Explanation: The output says that ILC2s are elevated in patients with CRSwNP and that they may drive nasal polyp formtion in CRS. The output also says that ILC2s are linked with blood eosinophilia and hence, it completely answers the question on the basis of the information in the context.
Problem: Context: Maritime pine (Pinus pinaster Aiton) grows in a range of different climates in the southwestern Mediterranean region and the existence of a variety of latitudinal ecotypes or provenances is well established. In this study, we have conducted a deep analysis of the transcriptome in needles from two P. pinaster provenances, Leiria (Portugal) and Tamrabta (Morocco), which were grown in northern Spain under the same conditions.', 'An oligonucleotide microarray (PINARRAY3) and RNA-Seq were used for whole-transcriptome analyses, and we found that 90.95% of the data were concordant between the two platforms. Furthermore, the two methods identified very similar percentages of differentially expressed genes with values of 5.5% for PINARRAY3 and 5.7% for RNA-Seq. In total, 6,023 transcripts were shared and 88 differentially expressed genes overlapped in the two platforms. Among the differentially expressed genes, all transport related genes except aquaporins were expressed at higher levels in Tamrabta than in Leiria. In contrast, genes involved in secondary metabolism were expressed at higher levels in Tamrabta, and photosynthesis-related genes were expressed more highly in Leiria. The genes involved in light sensing in plants were well represented in the differentially expressed groups of genes. In addition, increased levels of hormones such as abscisic acid, gibberellins, jasmonic and salicylic acid were observed in Leiria.\Question: Does transcriptome-wide analysis support environmental adaptations of two Pinus pinaster populations from contrasting habitats?
Solution: | Both transcriptome platforms have proven to be useful resources, showing complementary and reliable results. The results presented here highlight the different abilities of the two maritime pine populations to sense environmental conditions and reveal one type of regulation that can be ascribed to different genetic and epigenetic backgrounds. | 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.1111813485622406,
0.5003393292427063,
-0.3456004858016968,
-0.09923055768013,
0.5383495092391968,
-0.19947406649589539,
0.1327308714389801,
0.5865320563316345,
-0.14121553301811218,
0.3514004945755005,
-0.1703113466501236,
0.22472402453422546,
-0.833479106426239,
0.4887831509113312,
0.... |
Definition: 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.
Input: 「その事件は、キング・ストリートにある24時間のバー、BarCodeで、女性がタクシーに乗り込もうとした時から始まった」と警察は考えている。
Output: | Polisi yakin bahwa insiden dimulai dari Bar Code 24 jam di jalan King, saat seorang wanita berusaha mencari taksi. | 2 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.4021165370941162,
0.04959966987371445,
-0.18020574748516083,
-0.15838758647441864,
0.029832057654857635,
-0.5315966010093689,
0.3013731837272644,
0.22104808688163757,
0.23235660791397095,
0.09417018294334412,
-0.7197175025939941,
0.5058911442756653,
-0.8967522382736206,
0.55378967523574... |
Teacher: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
Teacher: Now, understand the problem? If you are still confused, see the following example:
CONTEXT: Duck feet will render plenty of gelatin because of the amount of cartilage, same as chicken feet. Any bird's feet are a good choice.The method for making stock is pretty much the same no matter what you put into it, so yes, you can follow your favourite recipe for chicken stock and substitute duck feet. The only thing to keep in mind is that duck feet, like any other duck parts, are substantially more fatty than their chicken equivalents, so assuming you want a clear or mostly-clear stock, you'll have to spend a lot of time skimming.Alternatively you can clean the feet and other bones by boiling them in plain water for 5-10 minutes, then dumping it all out and starting over - which is what your linked recipe suggests. I don't usually do this for brown stocks because you lose a lot of flavour, but if you're starting from raw then it won't make much difference and it's an easy/lazy way to get rid of a lot of the fat at once. <sep> Q: Can I use duck feet to make duck stock A: The method for making stock is pretty much the same no matter what you put into it, so yes, you can follow your favourite recipe for chicken stock and substitute duck feet Q: Does it add the same flavor and mouth feel? A: The only thing to keep in mind is that duck feet, like any other duck parts, are substantially more fatty than their chicken equivalents <sep> FOLLOWUP_Q: How does this change things?
Solution: Yes
Reason: The question asks about how the stock can be less fatty or mostly clear. This can be infered from the previous conversation. The answer is written in the passage that if mostly clear stock is needed then one has spend a lot of time skimming.
Now, solve this instance: CONTEXT: Anything susceptible to moisture will go stale if exposed to air long enough. Storage will only get you so far, depending on the temperature and humidity in the storage area. In a restaurant kitchen, I don't have to tell you that both are rather high.I'd suggest blanching them after cutting. You could basically cook them through then store them in a relatively air-tight container for a period of several days. When a customer orders chips you'd just drop the blanched chips in the deep fryer long enough to brown and crisp them. This is what essentially every restaurant outfit that serves chips and/or french fries does and it works well. Experiment with blanching temperatures and liquids to see what works best. <sep> Q: I was wondering what the best way to store my homemade potato chips? A: I'd suggest blanching them after cutting. You could basically cook them through then store them in a relatively air-tight container for a period of several days <sep> FOLLOWUP_Q: Will this allow them to retain their crunch as well?
Student: | Yes | 2 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.6921669244766235,
-0.582112729549408,
-0.6771407127380371,
0.27930954098701477,
0.16631662845611572,
-0.7749963402748108,
0.6066357493400574,
1.1489858627319336,
-0.5328956842422485,
-0.033412717282772064,
0.6177546977996826,
0.49754488468170166,
-0.17488780617713928,
0.6212109327316284,... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
They sent me the wrong color. Not just that, I have no receipt or box to send it back in. Very disappointing.
| Bad review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-1.2032620906829834,
0.27903908491134644,
0.4152434170246124,
-0.18333670496940613,
0.3188767433166504,
-0.3764614164829254,
0.18576547503471375,
0.8088423609733582,
-0.004265118855983019,
0.4974508285522461,
-0.21228466928005219,
0.3533797860145569,
-0.23172824084758759,
-0.26445350050926... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: (Risas) Os seus prismáticos son un dos utensilios máis críticos que posúe.
Output: | (Laughter) His binoculars are one of the most critical acting devices he has. | 3 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.1722344011068344,
1.426457166671753,
0.4246916174888611,
-0.8739570379257202,
-0.03295104205608368,
-0.7315528988838196,
0.34972113370895386,
0.5499321818351746,
0.17660197615623474,
0.505565345287323,
-0.7741817235946655,
0.5001699924468994,
0.009290183894336224,
0.18817713856697083,
... |
You will be given a definition of a task first, then some input of the task.
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Name of compound KNO ?
Where does the Seahorses live in the world ?
How many chambers are in a turtle 's heart ?
What are the destructive and constructive forces of earth 's mantel ?
Output: | Where does the Seahorses live in the world ? | 1 | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt | [
0.05997771769762039,
0.948590874671936,
-0.3851040303707123,
-0.0009590469999238849,
-0.4907746911048889,
0.06048321723937988,
0.8965693712234497,
-0.42571544647216797,
-0.7498346567153931,
-0.02990022674202919,
0.0818728357553482,
-0.4585430324077606,
-0.7730474472045898,
0.60908025503158... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
swim, plummet, tumble, fall
physical activity
jetstream, main, current, flow
ocean
alright, fine, comfortable, mad
| emotional status
| 0 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.185753732919693,
0.14967918395996094,
-0.6475614309310913,
-0.062206804752349854,
0.0768265426158905,
-0.2533262372016907,
-0.5608227849006653,
0.3217858076095581,
0.0662837103009224,
-0.03786378353834152,
-0.2705969214439392,
-0.25449061393737793,
-0.5259045362472534,
-0.431087046861648... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Title: Veela. Sentence 1: Ava was listening to a female artist sing on Youtube. Sentence 2: She became enamored with the singer's voice. Sentence 3: Ava vowed to get the autograph of such a talented woman. Sentence 4: She flew all the way to Japan and was shocked at what she learned.
Ava's favorite singer was a computer program!
Title: Pancakes for dinner. Sentence 1: Jason ate steak in the morning, and pancakes during dinner. Sentence 2: He lived this way to prove the world that he didn't care. Sentence 3: He didn't care and he never shared the real reason why. Sentence 4: He continued eating this way until his death later in life.
In his will he left his recipe for pancakes and forty dollars.
Title: Joy. Sentence 1: Lilly loved Christmas time. Sentence 2: She always got to help her mother with baking and decorations. Sentence 3: But this Christmas would be much different from last year. Sentence 4: Her adopted baby sister would be arriving on Christmas Day.
| Lilly baby sister Joy arrived then everyone sang her Christmas carols.
| 0 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.5123960971832275,
0.2517704963684082,
-0.1778547614812851,
0.07505396008491516,
-0.11669139564037323,
0.18312783539295197,
1.0188934803009033,
0.7420862913131714,
0.031828418374061584,
0.1887371689081192,
-0.35385698080062866,
0.16043291985988617,
-0.18455567955970764,
0.045261211693286... |
Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Input: 山东省菏泽市牡丹区人民检察院指控：2011年4月24日上午11时50分许，在菏泽市牡丹区吕陵镇窦庄行政村侯庄村北地路沟内，由于被告人朱某未按规定对线路进行检查，导致电线杆的铁丝垂下，被害人侯某在此捕鱼时被电击，当场死亡。案发后，被告人朱某主动到公安机关投案，如实供述自己的犯罪事实，且双方已达成调解协议，被害人侯某的近亲属获赔105000元。
Output: | 重大责任事故 | 3 | NIv2 | task1667_cail2018_answer_generation | zs_opt | [
-0.3236052691936493,
0.3321366310119629,
-0.31117579340934753,
-0.6829754710197449,
0.4187910854816437,
-0.19700944423675537,
-0.28958696126937866,
0.4424743056297302,
-0.7764720916748047,
0.6641708612442017,
-0.24981069564819336,
0.11936421692371368,
0.26992300152778625,
0.092394113540649... |
Teacher: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Teacher: Now, understand the problem? If you are still confused, see the following example:
I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Polarity: Positive
Solution: True
Reason: It's a positive review because the owner of the dog is satisfied with the product and mentioned that their dog appreciates the product. Also, the polarity is positive. So, the correct answer is True.
Now, solve this instance: I bought these locally, not from amazon. I'm in Arizona and they are sold in Albertsons and Bashas stores. They are absolutely delicious and taste just like other cookies. I bought all four of the "flavors" to test them out. The only one I didn't like was the chewy chocolate chip. All others though are wonderful. I count calories and try to eat healthy, but I do indulge with treats sometimes. This is the perfect treat since it has all the vitamins and fiber! I will never eat a regular cookie again. What's the point when you can actually get nutrition from tasty cookies!?
Polarity: Negative
Student: | False | 2 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.31982433795928955,
-0.37101244926452637,
0.47118133306503296,
-0.1913323998451233,
0.03381390869617462,
-0.2814980149269104,
0.7246180772781372,
0.4310227036476135,
-0.07175281643867493,
-0.40643733739852905,
-0.0843019038438797,
0.038904570043087006,
-0.3712136447429657,
-0.40676963329... |
Given the task definition, example input & output, solve the new input case.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Example: CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon no rekishi / Nihonshi?) es la sucesión de hechos acontecidos dentro del archipiélago japonés. Algunos de estos hechos aparecen aislados e influenciados por la naturaleza geográfica de Japón como nación insular, en tanto que otra serie de hechos, obedece a influencias foráneas como en el caso del Imperio chino, el cual definió su idioma, su escritura y, también, su cultura política. Asimismo, otra de las influencias foráneas fue la de origen occidental, lo que convirtió al país en una nación industrial, ejerciendo con ello una esfera de influencia y una expansión territorial sobre el área del Pacífico. No obstante, dicho expansionismo se detuvo tras la Segunda Guerra Mundial y el país se posicionó en un esquema de nación industrial con vínculos a su tradición cultural.
QUESTION: ¿Cuándo se detuvo el expansionismo de Japón?
Output: tras la Segunda Guerra Mundial
The answer is more than 3 words and it is taken from the context provided. Also, the answer is precise indicating the time without duration as mentioned in the context.
New input case for you: CONTEXT: 15 de junio de 2014 El presidente colombiano Juan Manuel Santos, quien representa a la coalición de los partidos de la Unidad Nacional fue elegido para su segundo mandato al frente de su país con un total de 7 814 447 votaciones (50,93%) seguido de su rival Óscar Iván Zuluaga con 6 904 523 (45,01 %), pertenecientes al Centro Democrático, siendo escrutadas el 99.95% de las mesas electorales. Las mayores victorias del bloque santista se concentraron en Bogotá, la Región Caribe, el Pacífico, San Andrés y Providencia, Vaupés, Guainía y los Santanderes (Norte y Sur), mientras los uribistas dominaron el resto del país, siendo los temas más debatidos en las últimas tres semanas la economía y el proceso de paz con los grupos guerrilleros FARC y ELN. Por su parte los votos en blanco apenas obtuvieron un resultado modesto con 619 362 (4,03%). Comparado con la primera vuelta electoral que se celebró el 25 de mayo pasado, los uribistas concentraron su apoyo con la excandidata de los conservadores Martha Lucía Ramírez, mientras los sectores alternativos como el Polo Democrático Alternativo (cuyas directivas dieron libertad a sus electores), el Partido Verde, Marcha Patriótica y el Movimiento Progresistas pusieron los apoyos en la enorme cantidad de votantes que fueron decisivos para el presidente, seguido de la renuncia de varios funcionarios de su administración y la del Alcalde de la capital Gustavo Petro, como Guillermo Jaramillo, Gina Parody y Rafael Pardo en apoyo a las negociaciones con los rebeldes, frente al anuncio de Zuluaga de suspenderlas por falta de garantías frente a la justicia con respecto a los cabecillas de esos grupos. El expresidente César Gaviria Trujillo y la excandidata de izquierda, Clara López Obregón manifestaron completamente su satisfacción por la victoria de Santos en unas elecciones muy organizadas en calidad pese a que el abstencionismo sigue primando como opción entre los votantes, que el ideal pacifista logró primar sobre las diferencias ideológicas en cuanto a las políticas que venía implementado el actual jefe de estado. En el bando opuesto, tanto Ramírez como Zuluaga agradecieron el voto de sus seguidores y reconocieron la victoria de su contendor indicando que trabajarán por Colombia y realizando el debido el control político necesario para evaluar las políticas de gobierno. El presidente Santos jurará en su cargo el 7 de agosto próximo para el periodo constitucional 2014-2018.
QUESTION: ¿Quién repetirá en su cargo como dirigente de la nación?
Output: | El presidente colombiano Juan Manuel Santos | 1 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.26374006271362305,
-0.023674335330724716,
-0.352866530418396,
0.09520730376243591,
0.5566742420196533,
-0.20180979371070862,
1.08330500125885,
0.8636695146560669,
-0.48544126749038696,
0.1623961627483368,
-0.19592587649822235,
0.4517405033111572,
-0.10415494441986084,
0.1323252022266388,... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: 周りの実際の世界と連携することもできます
Output: | אתם יכולים גם לתכנת שיתממשק עם העולם הפיסי סביבכם. | 3 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.19652706384658813,
0.7602773904800415,
0.29547280073165894,
0.059371497482061386,
-0.27556484937667847,
-0.34007972478866577,
-0.05030861124396324,
-0.18526384234428406,
0.7530782222747803,
-0.02288435772061348,
-0.8159140348434448,
0.8348569869995117,
-1.0291862487792969,
-0.0401492565... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
[EX Q]: Title: The Spider. Sentence 1: James went into his room one morning and saw a giant spider by a hole. Sentence 2: The next morning he found the spider dead outside the hole. Sentence 3: He stood there thinking of how to kill it without getting bit. Sentence 4: After waiting awhile he finally gave up and sprayed bug spray by it. Sentence 5: He ended up taking too long and the spider hid in the hole.
[EX A]: 13542
[EX Q]: Title: Up Close. Sentence 1: We were walking near some pine trees and turned a corner. Sentence 2: Suddenly, right in front of us, was a huge moose. Sentence 3: It was so close that it scared us, but they told me not to run. Sentence 4: We all stood still and soon the moose walked away without harm. Sentence 5: My grandparents and I were going for a walk.
[EX A]: 51234
[EX Q]: Title: Buried Alive. Sentence 1: As I was disobeying the rules, the ground suddenly gave way. Sentence 2: I sank down into a half frozen stream, buried under the snow. Sentence 3: I pushed away the snow but the scars left me with a valuable lesson. Sentence 4: The signs said to stay on the trails, but we had other plans in mind. Sentence 5: Me and my friends from school went on a skiing trip.
[EX A]: | 54123
| 6 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.47425755858421326,
-0.14844372868537903,
-0.5222471952438354,
-0.42482298612594604,
0.2927815020084381,
-1.0547244548797607,
0.3806929588317871,
0.8404717445373535,
-0.6405354142189026,
-0.03552915155887604,
-0.4688471555709839,
-0.0455629900097847,
-0.6871792078018188,
-0.01212703809142... |
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.
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
Example solution: ADJ
Example explanation: "conservative" is an Adjective (ADJ) since it adds to the description of the Noun (NOUN) "belief".
Problem: Sentence: A large group of my friends and I rent almost the {{ whole }} motel every year for a weekend , and the experience and stay have always been five - star .
Word: whole
| Solution: ADJ | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7786421179771423,
0.4195641279220581,
0.09162271022796631,
-0.026048246771097183,
0.17530331015586853,
-0.7910124659538269,
0.7741221189498901,
0.908139705657959,
-0.7643975019454956,
-0.28861498832702637,
-0.2297360897064209,
0.10764565318822861,
-0.6441778540611267,
0.4132694900035858,... |
Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Sydney made a care package for their friend who was at the hospital.
Answer: wanted to make their friend smile
Output: | Why did Sydney do this? | 3 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.5500379800796509,
1.0823960304260254,
0.6046687960624695,
-1.0539133548736572,
0.25818485021591187,
-1.2647314071655273,
0.08107908070087433,
0.3477492332458496,
1.035481572151184,
-0.12963567674160004,
0.5746510028839111,
1.115648865699768,
-0.5452282428741455,
0.006526576355099678,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Context: Increased rates of apoptosis have been reported to play a role in the pathophysiology of many disorders, including liver diseases. Conversely, genetic mutations that result in impairment of programmed cell death have been associated with cancer development. However, apoptosis resistance can also be the result of nongenetic stress adaptation, as seen in the cancer-prone metabolic liver disease hereditary tyrosinemia. To clarify whether stress-induced apoptosis resistance is a general feature of chronic liver diseases, an animal model of chronic cholestasis was examined.', 'Studies were performed with mice before and 2 weeks following bile duct ligation and with Fah-/- and Fah/p21-/- mice before and after NTBC withdrawal.', 'Here we show that bile duct ligation induced profound resistance against Fas monoclonal antibody-mediated hepatocyte death. The apoptosis signaling pathway was blocked downstream of caspase-8 activation and proximal to mitochondrial cytochrome c release. In controls, activation of the Fas receptor resulted in rapid dephosphorylation of Bid and its subsequent cleavage, whereas Bid remained phosphorylated and uncleaved in chronic cholestasis and other models of hepatic apoptosis resistance.
Answer: We propose a model in which the phosphorylation status of Bid determines the apoptotic threshold of hepatocytes in vivo. Furthermore, resistance to apoptosis in chronic cholestasis may contribute to the long-term risk of cancer in this setting.
Student: | Is sustained phosphorylation of Bid a marker for resistance to Fas-induced apoptosis during chronic liver diseases? | 6 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.475483775138855,
0.03533833473920822,
-0.32133400440216064,
-0.24166174232959747,
0.2156791239976883,
-0.8337720632553101,
0.7481149435043335,
1.050419569015503,
0.08912119269371033,
-0.060564350336790085,
-0.9328217506408691,
0.3194533884525299,
-0.6953644752502441,
0.22252628207206726,... |
Teacher:In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
Teacher: Now, understand the problem? Solve this instance: ['in', 'so', 'much', '19th', 'century', 'painting', 'figures', 'in', 'active', 'narrative', 'a', 'kind', 'of', '', 'story', 'before', 'us', 'and', 'we', 'watch', 'them', 'as', 'if', "we're", 'an', 'audience', 'looking', 'into', 'this', 'space', 'but', 'with', 'the', 'work', 'of', 'Caspar', 'David', 'Friedrich', '', 'so', 'often', 'he', 'gives', 'us', 'a', 'small', 'lone', 'figure', 'and', 'instead', 'of', 'looking', 'towards', 'that', 'figure', 'we', 'in', 'a', 'sense', 'become', 'that', 'figure', 'and', 'we', 'begin', 'to', 'see', 'what', 'the', 'figure', 'sees', 'and', "that's", 'exactly', 'what', 'we', 'have', 'here', 'in', 'the', 'monk', 'by', 'the', 'sea', 'which', 'is', 'in', 'so', 'many', 'ways', 'are', 'really', 'radically', 'modern', 'pared', 'down', 'image', 'we', 'have', 'this']
Student: | ['In', 'so', 'much', '19th', 'century', 'paiting,', 'figures', 'in', 'active', 'narrative', 'are', 'kind', 'of', '', 'story', 'before', 'us,', 'and', 'we', 'watch', 'them', 'as', 'if', "we're", 'an', 'audience', 'looking', 'into', 'the', 'space.', 'But', 'with', 'the', 'work', 'of', 'Caspar', 'David', 'Friedrich', '', 'so', 'often', 'he', 'gives', 'us', 'a', 'small', 'lone', 'figure.', 'And', 'instead', 'of', 'looking', 'towards', 'that', 'figure', 'we', 'in', 'a', 'sense', 'become', 'that', 'figure', 'and', 'we', 'begin', 'to', 'see', 'what', 'the', 'figure', 'sees', 'and', "that's", 'exactly', 'what', 'we', 'have', 'here', 'in', 'the', '"Monk', 'by', 'the', 'sea",', 'which', 'is', 'in', 'so', 'many', 'ways', 'a', 'really', 'radically', 'modern', 'pared', 'down', 'image.', 'We', 'have', 'this'] | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.46447768807411194,
0.46356263756752014,
-0.00939645804464817,
-0.6246232390403748,
0.15240228176116943,
-0.6650680303573608,
0.16117499768733978,
0.832938551902771,
0.010064627975225449,
0.24196767807006836,
0.32686764001846313,
-0.11543900519609451,
-0.44899606704711914,
-0.565664768218... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Problem:זה לא יכול להיות. זה לא יכול להיות שאני מצפה למספר מסויים של איורים, ובשבילי זו שיטת הכימות להערכת הצוות.
Solution: | Esto no puede ser. No puede ser que esté esperando un cierto número de bocetos, y que para mí ese sea el método de medir la calidad de un equipo. | 8 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.9339743852615356,
0.7776572108268738,
0.805760383605957,
0.156840980052948,
-0.07921759784221649,
0.4704587757587433,
0.24070461094379425,
0.48808425664901733,
0.775719404220581,
-1.4862462282180786,
-0.18200446665287018,
-0.05076315999031067,
0.18983517587184906,
0.26063865423202515,
... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Review: Easy product to install. No fuss. Plug it in. It is out of sight behind a couch. I am satisfied.
Polarity: Positive
Output: True
Customer is satisfied with the product. Therefore, it has positive polarity.
New input case for you: Review: I listened to the audio version of "Cruel & Unusual" on a recent trip to New Jersey and back. The first 2/3 of the book kept me on the edge of my seat, then... the whole thing collapsed in a heap at the end. Would have been much better if the author had stuck to writing a taut thriller instead of trying to drag in everything from evil Republican office holders to Nazi war criminals, all dumped into the mix at the last possible moment. After all the buildup, the "who" of the whodunnit ends up being... nobody in particular. And the fate of the evildoer? Nothin' much. Disappointing. Won't bother with Dr. Scarpetta or Ms. Cornwall again.I'm a little baffled by all the reviews that say, "great book, bad ending..." and still give it 3 stars or more. Isn't a mystery DEFINED by the ending, by how the author ties up all the loose ends and red herrings?
Polarity: Negative
Output: | True | 1 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.4746166169643402,
0.23987489938735962,
0.12127747386693954,
0.15140867233276367,
0.35128068923950195,
-0.07357969880104065,
0.715855598449707,
0.28406432271003723,
0.14989525079727173,
0.1451781690120697,
-0.24423997104167938,
0.3372650146484375,
-0.3594869375228882,
-0.6966911554336548... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you should output 0 for that list.
Let me give you an example: [[4, 4, 12, -6], [-9, 5, -6, -1], [8, 3, 9, -5, 1]]
The answer to this example can be: [0, 45, -135]
Here is why: The first inner list has no odd integers, so the first number in the output is 0. The second list has -9, 5, -1 for odd integers so the second output is 45. The third list has 3, 9, -5, 1 as even numbers so the third output is -135. This is a good example.
OK. solve this:
[[47, 48, 12], [-45, -50, -28, -46], [17, 26, 16, 0], [21, -49], [50, 8], [33, 36, -18], [7, 47, -26, 2], [41, -31, 43, -23, -13]]
Answer: | [47, -45, 17, -1029, 0, 33, 329, -16341247] | 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.14847557246685028,
-0.19447802007198334,
-0.782270073890686,
-0.30665290355682373,
0.24811871349811554,
-0.4079284071922302,
1.1799278259277344,
0.7825671434402466,
-0.4247701168060303,
0.04575987160205841,
-1.073566198348999,
-0.15112173557281494,
-0.5246568918228149,
-0.015638176351785... |
Teacher:You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words other than the two options, and do not answer with option titles(e.g. "option1" or "1" are not acceptable answers.)
Teacher: Now, understand the problem? Solve this instance: Passage: Last night , I went to see my favorite band in concert at an outdoor theater with my sister . We bought the tickets online last week and had to pick them up from a kiosk outside the theater when we arrived . Then we stood in line waiting to get in for about ten minutes , and finally it was our turn . We walked over to the area in front of the stage and picked a nice spot out to watch the concert from . There were many people there and we were glad we 'd gotten there early enough to get a great spot near the stage . It was getting dark when suddenly a lot of bright colored lights came on and the band walked out on the stage . The concert lasted two hours and we had a great time . When it was over , we made our way back to our car in the parking lot and went home . It was a night we 'll never forget . Question: When did the crowd cheer? Option1: when the band walked on stage Option2: upon arrival
Student: | when the band walked on stage | 6 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
1.0480892658233643,
0.4983815550804138,
-0.40923935174942017,
0.4792478084564209,
-0.023486502468585968,
-0.253557026386261,
0.5789362192153931,
0.6229443550109863,
-0.08747263997793198,
1.0992130041122437,
-0.06821247190237045,
-0.2227092981338501,
-0.09279310703277588,
-0.265509277582168... |
Detailed Instructions: In this task, you are given a tuple, comprising 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, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. 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.
See one example below:
Problem: Head: PersonX goes the way of the dodo<sep>Tail: none
Solution: Yes
Explanation: This is a good example. As a result of the Head, others won't be affected.
Problem: Head: PersonX pays cash<sep>Tail: none
Solution: | Yes | 4 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.4431282579898834,
-0.0010905268136411905,
0.3589421510696411,
0.014937144704163074,
-0.3810991942882538,
-0.8753403425216675,
0.7022693157196045,
0.6941488981246948,
-0.44497475028038025,
-0.2127530425786972,
-0.5593931078910828,
-0.42170846462249756,
-0.38103657960891724,
-0.25751769542... |
Given the task definition, example input & output, solve the new input case.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third 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: Jacob entered the dining_room. William entered the dining_room. The tomato is in the green_drawer. William exited the dining_room. Jacob moved the tomato to the blue_cupboard. Jacob is in the dining_room. Olivia entered the dining_room. The cucumber is in the blue_cupboard. Olivia exited the dining_room. Jacob moved the cucumber to the green_drawer. William entered the pantry. Jacob entered the pantry. The asparagus is in the red_cupboard. Jacob exited the pantry. William moved the asparagus to the green_pantry. Abigail entered the hall. William entered the hall. The persimmon is in the blue_pantry. William exited the hall. Abigail moved the persimmon to the blue_envelope. Where does Abigail think that William searches for the persimmon?
Output: blue_pantry
The persimmon was last in the blue_pantry before William exited the hall. After William exited the hall, Abigail moved the persimmon to the blue_envelope, so she knows where William will look for it.
New input case for you: Aria entered the TV_room. Owen entered the TV_room. The grapes is in the red_envelope. Owen exited the TV_room. Aria moved the grapes to the blue_suitcase. Aria exited the TV_room. Owen entered the TV_room. Where does Aria think that Owen searches for the grapes? James entered the patio. Aria entered the patio. The lime is in the blue_cupboard. Aria exited the patio. James moved the lime to the blue_crate. Where was the lime at the beginning? Aria entered the TV_room. Jackson entered the TV_room. The tomato is in the blue_suitcase. Jackson exited the TV_room. Aria moved the tomato to the red_envelope. Aria exited the TV_room. Jackson entered the TV_room. Where will Jackson look for the tomato? Owen entered the bedroom. Aria entered the bedroom. The lettuce is in the green_box. Aria exited the bedroom. Owen moved the lettuce to the blue_envelope. Where is the lettuce really? Owen entered the closet. Aria entered the closet. The pear is in the green_envelope. Aria exited the closet. Owen moved the pear to the green_treasure_chest. Where was the pear at the beginning?
Output: | green_envelope | 1 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.7267016172409058,
-0.6529438495635986,
-0.3154009282588959,
0.20516689121723175,
0.35984310507774353,
-0.08182592689990997,
0.11602699756622314,
0.7808315753936768,
-0.024062825366854668,
0.0840158611536026,
-0.43815746903419495,
0.18281972408294678,
-0.024753525853157043,
0.013115515932... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a train on a track across from security fence'. Count the number of consonants in the given sentence.
A: | 23 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.618093729019165,
0.8034618496894836,
-0.8597450852394104,
-0.6983189582824707,
-0.07422599196434021,
0.1273805797100067,
-0.5678417682647705,
0.5939561128616333,
-0.020652787759900093,
-0.5583962202072144,
-0.8546687960624695,
-0.46869075298309326,
-0.21177397668361664,
-0.49238789081573... |
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.
--------
Question: Passage: At the time of the transfer of power, the state of Jammu and Kashmir (widely called "Kashmir") was ruled by Maharaja Hari Singh, a Hindu, although the state itself had a Muslim majority. Hari Singh was equally hesitant about acceding to either India or Pakistan, as either would have provoked adverse reactions in parts of his kingdom. He signed a Standstill Agreement with Pakistan and proposed one with India as well, but announced that Kashmir intended to remain independent. However, his rule was opposed by Sheikh Abdullah, the popular leader of Kashmir's largest political party, the National Conference, who demanded his abdication.Pakistan, attempting to force the issue of Kashmir's accession, cut off supplies and transport links. The chaos in Punjab resulting from Partition had also severed transport links with India, meaning that Kashmir's only links with the two dominions was by air. Rumours about atrocities against the Muslim population of Poonch by the Maharajah's forces caused the outbreak of civil unrest. Shortly thereafter, Pathan tribesmen from the North-West Frontier Province of Pakistan crossed the border and entered Kashmir. The invaders made rapid progress towards Srinagar. The Maharaja of Kashmir wrote to India, asking for military assistance. India required the signing of an Instrument of Accession and setting up an interim government headed by Sheikh Abdullah in return. The Maharaja complied, but Nehru declared that it would have to be confirmed by a plebiscite, although there was no legal requirement to seek such confirmation.Indian troops secured Jammu, Srinagar and the valley itself during the First Kashmir War, but the intense fighting flagged with the onset of winter, which made much of the state impassable. Prime Minister Nehru, recognising the degree of international attention brought to bear on the dispute, declared a ceasefire and sought UN arbitration, arguing that India would otherwise have to invade Pakistan itself, in view of its failure to stop the tribal incursions. The plebiscite was never held, and on 26 January 1950, the Constitution of India came into force in Kashmir, but with special provisions made for the state. India did not, however, secure administrative control over all of Kashmir. The northern and western portions of Kashmir came under Pakistan's control in 1947, and are today Pakistan-administered Kashmir. In the 1962 Sino-Indian War, China occupied Aksai Chin, the north-eastern region bordering Ladakh, which it continues to control and administer.
Question: What was the last name of the person who declared a ceasefire and sought UN arbitration?
Answer: Nehru.
Question: Passage: The film tells a fictionalized version of the Pilgrims' voyage across the Atlantic Ocean to North America aboard the Mayflower. During the long sea voyage, Capt. Christopher Jones falls in love with Dorothy Bradford, the wife of William Bradford. The love triangle is resolved in a tragic way at the film's conclusion. Ship's carpenter John Alden -- said to be the first person to set foot on Plymouth Rock in 1620—catches the eye of Priscilla Mullins, one of the young Pilgrims following William Bradford. Alden ultimately wins Priscilla in another, if subtler, triangle with Miles Standish. Lloyd Bridges provides comic relief as the first-mate Coppin, and child star Tommy Ivo gives a touching performance as young William Button, the only passenger to die on the actual voyage across the storm-swept Atlantic, who, according to this film, wanted to be the first to sight land and to become a king in the New World. "I'm going to be the first to see land. Keep me eye peeled, I will. Then I'll be the first. It'll be like the Garden of Eden and I'm going to be the first to see it".
Question: What is the first name of the person who wins Priscilla?
Answer: John.
Question: Passage: Hulagu died in 1265, and was succeeded by Abaqa (1234–1282), who further pursued Western cooperation. Though a Buddhist, upon his succession he married Maria Palaiologina, an Orthodox Christian and the illegitimate daughter of the Byzantine Emperor Michael VIII Palaiologos. Abaqa corresponded with Pope Clement IV through 1267 and 1268, sending envoys to both Clement and King James I of Aragon. In a 1268 message to Clement, Abaqa promised to send troops to aid the Christians. It is unclear if this was what led to James's unsuccessful expedition to Acre in 1269. James initiated a small crusade, but a storm descended on his fleet as they attempted their crossing, forcing most of the ships to turn back. The crusade was ultimately handled by James's two sons Fernando Sanchez and Pedro Fernandez, who arrived in Acre in December 1269. Abaqa, despite his earlier promises of assistance, was in the process of facing another threat, an invasion in Khorasan by Mongols from Turkestan, and so could only commit a small force for the Holy Land, which did little but brandish the threat of an invasion along the Syrian frontier in October 1269. He raided as far as Harim and Afamiyaa in October, but retreated as soon as Baibars' forces advanced.
Question: What country attacked Abaqa's empire?
Answer: | Turkestan.
| 7 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.9659808874130249,
0.46679335832595825,
-0.45602959394454956,
-0.21821163594722748,
0.22892099618911743,
-0.034040793776512146,
0.827342689037323,
0.6385601758956909,
-0.22307324409484863,
0.03437048941850662,
-0.13841059803962708,
-0.05829359591007233,
-0.648946225643158,
0.3068111836910... |
Definition: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Reviews: I purchased this item based on reviews. The majority were positive. Wanted a quality, affordable system with built in games. Product arrived quickly next day to be exact. Packaged nicely. The quality of build is average. Sound is decent. Difficult to navigate. Poor instructions. Screen size is good. I'm in processes of return. Would not recommend.
Category: toy
Output: | True | 2 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.32187753915786743,
-0.03079257905483246,
-0.4236992299556732,
0.13167013227939606,
-0.13921231031417847,
0.018010050058364868,
0.7424028515815735,
0.46483200788497925,
0.002423360012471676,
0.20425589382648468,
-0.5602779984474182,
0.4025878310203552,
-0.3700837194919586,
-0.01230573002... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
I'm going to talk now about how world population has changed from that year and into the future, but I will not use digital technology, as I've done during my first five TEDTalks. | Agora vou falar sobre cómo a poboación mundial cambiou dende aquel ano e cara o futuro pero non vou utilizar tecnoloxía dixital como xa fixera nas miñas 5 primeiras TEDTalks. | 0 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.1324974298477173,
1.3714218139648438,
-0.09573490917682648,
-0.6259629130363464,
-0.31601712107658386,
-1.2192673683166504,
-0.5633078217506409,
0.9244526624679565,
-0.4852771461009979,
0.018217220902442932,
0.19975315034389496,
0.3613399267196655,
-0.973208487033844,
-0.263857066631317... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Ex Input:
FRANKFURT/LONDON (Reuters) - Gucci-owner Kering (PRTP.PA) plans to spin off German sports brand Puma (PUMG.DE) to the French conglomerate’s shareholders as it sharpens the group’s focus squarely on its luxury brands.
Kering said it planned to distribute 70 percent of Puma shares in kind to its investors leaving it with only a 16 percent stake in the sportwear group confirming an exclusive Reuters report.
Kering is a little more than 40 percent controlled by the French Pinault family who would receive about 29 percent of the sporting goods company while Puma’s free float would stand at about 55 percent.
Shedding Puma meanwhile would turn Kering into a pure player in the high-margin luxury business where it rivals larger peers such as French conglomerate LVMH (LVMH.PA).
“Kering would dedicate itself entirely to the development of its luxury houses ” Kering Chairman and CEO Francois-Henri Pinault said in a statement.
Puma struggled for years after it was bought by Kering for 5.3 billion euros ($6.4 billion) in 2007 but recent improved performance has raised expectations that the French group would sell its stake this year.
Puma’s shares rose by 45 percent over the past year bringing its market capitalisation to 5.3 billion euros back at the level at which Kering bought.
Kering emerged as one of the big winners in a luxury goods revival last year as Chinese demand picked up with a stellar turn at brand-of-the-moment Gucci helping earnings and other labels such as Yves Saint Laurent and Balenciaga.
Ex Output:
Kering
Ex Input:
(Reuters) - British recruiter Robert Walters (RWA.L) raised its full-year profit forecast for a second time after it reported a 22 percent jump in quarterly net fee income.
Robert Walters â net fee income grew to 90.7 million pounds in the three months to Sept. 30 from 74.4 million a year earlier.
Where other recruiters in the UK have seen a slowdown in the aftermath of Brexit Robert Walters â results have been broadly stronger propped up by consistent growth in its domestic outsourcing services business.
Robert Walters said its outsourcing business saw growing demand from both existing and new clients.
Ex Output:
Robert Walters
Ex Input:
Washington (CNN) It's been five days since the White House said President Donald Trump believes Alabama Senate Republican candidate Roy Moore should drop out if the allegations of sexual misconduct leveled against him are true.
Since then Moore has faced more allegations and the national Republican Party has cast Moore aside. Trump however has remained mum.
Behind the scenes the President and his advisers are closely watching the developments in Alabama's special election two sources close to the White House and a White House official said. That includes in particular the reaction of influential conservative supporters such as Fox News host Sean Hannity. The White House is also mulling scenarios to prevent Moore from being elected according to the sources.
Trump one source said believes the allegations of child sexual abuse and sexual assault against Moore are bad for the Republican brand but has decided to wait and see how the situation shakes out before publicly commenting.
"He's worried about the conversation moving to his past accusers " the Republican familiar with the matter said noting that the President believes his accusers were unfair and some of Moore 's may be too.
Pressed by reporters Saturday while in Vietnam -- before a fifth alleged victim said Moore sexually assaulted her when she was 16 -- Trump said he had not been following the issue closely and declined to go beyond press secretary Sarah Sanders' earlier statement.
JUST WATCHED Bannon compares Moore Trump WaPo stories Replay More Videos ... MUST WATCH Bannon compares Moore Trump WaPo stories 00:51
But White House officials coordinating closely with Republicans on Capitol Hill have been mulling a range of scenarios to thwart Moore 's election which despite the allegations remains a serious possibility in the deep red state.
Sen. Lindsey Graham R-South Carolina said "It would probably be good if he would say something" about Moore given Trump is the leader of the Republican Party.
"If you are no-fly list for the mall you shouldn't be in the United States Senate " he said referring to reports that Moore had been banned from a local mall because of his pursuit of teenage girls.
JUST WATCHED McConnell hints at Roy Moore replacement Replay More Videos ... MUST WATCH McConnell hints at Roy Moore replacement 00:56
All eyes at the White House including the President's will be on Hannity's Wednesday night show after the Trump loyalist said Tuesday night he was giving Moore 24 hours to "immediately and fully come up with a satisfactory explanation for your inconsistencies" or lose his support.
"You must remove any doubt. If you can't do this then Judge Moore needs to get out of this race " Hannity said.
But even that loss of support is unlikely to prompt Moore to exit the race where he has retained significant and fervent support as grassroots Republicans in the state have continued to dismiss the allegations as a ploy to thwart Moore 's election.
Nationally Moore is retaining the support of the White House's former chief strategist Steve Bannon who has campaigned with Moore .
As the conservative Drudge Report ran a banner Wednesday suggesting Bannon was turning on Moore a source close to Bannon rejected the claim.
Ex Output:
| Roy Moore
| 1 | NIv2 | task419_persent_answer_generation | fs_opt | [
-0.7358324527740479,
0.3774905204772949,
-0.3543282747268677,
0.17902648448944092,
0.34933289885520935,
0.5212014317512512,
0.3424811363220215,
0.6142229437828064,
0.23225225508213043,
0.42314451932907104,
-0.007583746686577797,
0.8970007300376892,
-0.35249853134155273,
0.03253529593348503... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: തന്റെ സ്വന്തം അനുഭവത്തില് രാജ്യത്തിലും, സമൂഹത്തിലും മാറ്റങ്ങള് കൊണ്ടുവരാനുള്ള പ്രസ്ഥാനത്തെ ദൈനിക് ജാഗരണ് ശക്തിപ്പെടുത്തിയതായി അദ്ദേഹം പറഞ്ഞു.
A: | தைனிக் ஜாக்ரன் நாட்டிலும் சமூகத்திலும் மாற்றம் கொண்டுவரும் இயக்கத்திற்கு வலு சேர்த்துள்ளதை தனது சொந்த அனுபவத்தில் கண்டுள்ளதாக பிரதமர் கூறினார். | 9 | NIv2 | task999_pib_translation_malayalam_tamil | zs_opt | [
0.19020280241966248,
0.377910852432251,
0.5182486772537231,
-0.7039086818695068,
-0.1359425038099289,
-1.5412719249725342,
0.551751434803009,
0.2038765698671341,
-0.704654335975647,
0.21735993027687073,
-0.5426307320594788,
-0.1789168268442154,
-1.5182290077209473,
-0.1382541060447693,
-... |
Q: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Briana was four wheeling with her friends. Sentence2: She was speeding down a road when she crashed and fell. Sentence3: She landed and although she felt sore she seemed okay. Sentence4: When she checked her helmet she saw a huge crack down the middle. Sentence5: She knew she would have been hurt badly if she hadn't worn it.
A: | Briana, Friends | 7 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.16321459412574768,
0.7461883425712585,
-0.2053026556968689,
-0.21605776250362396,
-0.20226681232452393,
-0.20493477582931519,
0.9945708513259888,
0.4557664394378662,
0.23252978920936584,
-0.20369082689285278,
-0.6525416374206543,
0.14328718185424805,
0.13765402138233185,
0.10385985672473... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
4, 8, ['4087', 'g', 'd', '5783', '5377', 'F', '8031', '9439', '7837', '1281', '101', '1925', 'F', 'n', 'Y', 'Q', 'X', 'b', '3089', 'B', '2381', '8843', 'R', '5111', '3109', '3911', '2425', '1203', '7523']
Output: | 5783, 1925, B, 1203 | 1 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.08044028282165527,
0.15685412287712097,
-0.7539072632789612,
-0.6803452968597412,
-0.14879447221755981,
0.008410422131419182,
0.6634927988052368,
-0.3375944495201111,
-0.134730264544487,
0.0818198174238205,
-0.868314266204834,
-0.22085565328598022,
0.18121913075447083,
-0.001441506668925... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
[425, 113, 315, 264, 630, 408, 103, 3, 569, 773]
| [113, 103, 3, 569, 773] | 5 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.44765543937683105,
0.41498327255249023,
-0.2304210066795349,
-0.36031293869018555,
0.19262659549713135,
-0.20085132122039795,
1.1728204488754272,
0.21405811607837677,
-0.07716095447540283,
0.10528771579265594,
-1.0637385845184326,
-0.4736049175262451,
-0.26566994190216064,
-0.7427027225... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
See one example below:
Problem: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Explanation: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: Y no somos homofóbicos.
Solution: | و ما همجنس ستیز نیستیم. | 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.29083383083343506,
0.39663878083229065,
-0.1667424738407135,
0.014893497340381145,
-0.22454863786697388,
-0.6078050136566162,
0.49363380670547485,
0.5275805592536926,
-0.15690891444683075,
-0.07761424779891968,
-0.7995007038116455,
0.46660417318344116,
-0.13046994805335999,
-0.149432301... |
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.
Q: Carrie GracieChina editor@BBCCarrieon Twitter The quotation is attributed to Albert Einstein but after a torrid few days on the Korean peninsula, it's one for Chinese leaders to ponder. China is simply in the wrong place on North Korea. It is allowing Kim Jong-un's nuclear ambitions to undermine Chinese national interest. There are complex reasons for this including history, habit and political culture. But among Chinese foreign policy experts and even on social media, unease is beginning to spread. North Korea's nuclear programme has already driven South Korea to agree to the deployment of an American anti-missile system, locking Seoul deeper into a defensive triangle with Japan and the United States. Relations between Beijing and Seoul are at their worst in a quarter of a century and many South Koreans have been alienated by unofficial Chinese sanctions against the whole spectrum of South Korean interests from supermarkets to boy bands. This is good for North Korea but for no-one else. It is nonsensical for China to punish South Korea for trying to defend itself against a nuclear threat which even Beijing describes as real and urgent. And if North Korea continues its drive for nuclear weapons, there may be a worse arms race to come. A nuclear-armed Japan would hardly be in China's national interest. But despite this catalogue of warning signals and failures, China seems trapped in an unfinished history marked by binary choice: a nuclear-armed North Korea or a reunified Korea with American troops on China's border. Between these choices, it finds a nuclear-armed North Korea preferable. But if it thinks hard enough, perhaps there is an alternative. In fact, this is a moment of decision for China. President Xi has talked of an Asia led by Asians. Showing flexibility and resolve on fixing Korea in the interests of the region and the world would demonstrate a readiness to lead. Almost everyone, even China's most suspicious neighbours, would be grateful. President Trump has already promised that American gratitude would take material form in a favourable trade deal. So China could use the current crisis on the Korean peninsula to engage its neighbours and cement a key area of partnership with the US. Or it could duck the challenge and let the US lead. A choice put starkly in a tweet from President Trump: "I have great confidence that China will properly deal with North Korea. If they are unable to do so, the US, with its allies, will." Of course, China's view on what constitutes "dealing with North Korea" does not coincide with Mr Trump's. But there will be no dealing with North Korea worth the name that does not require a fundamental shift in how Beijing sees the region and its relationships within it. China is after all an ideologically insecure one-party state. A profound aversion to liberal internationalism has tied it to a rigid position on non-interference in the internal affairs of another state. A position which now constrains it in managing the North Korean leader Kim Jong-un. What's more, in Beijing's worldview, the United States is its long-term rival in Asia and the US system of alliances is a barely concealed strategy of containment. For decades, China's security planners have war-gamed scenarios of brinkmanship and conflict with the US as enemy in a zero-sum game. There are no established scenarios in which the US presents as a partner in managing a rogue state masquerading as a Chinese ally. Outdated stance? China and North Korea signed a mutual aid treaty in 1961. The treaty says if either ally comes under armed attack, the other should provide immediate assistance, including military support. But it also says both should safeguard peace and security. Some Chinese experts now argue that Beijing is not obliged to defend North Korea on the grounds that its nuclear weapons breach the mutual defence pact. But in general, China's security policy for the Korean peninsula seems frozen in time. Despite establishing diplomatic relations with Seoul 25 years ago, and despite the burgeoning economic relationship with South Korea which followed, the security logic has not changed. And now that China's only formal ally is threatening a nuclear war which would bring incalculable horror to the entire region including China's own citizens, Beijing's position looks a quarter century out of date. If it wants to claim leadership in Asia, it could say loudly that Pyongyang's threats are completely intolerable and must not stand. After all, what loyalty does it owe a regime which shows only contempt for Chinese diplomacy and Chinese national interest? Rather than dragging its feet on economic sanctions and turning a half-blind eye to Chinese companies which supply high-tech components to North Korea's arms programme, Beijing could choose to lead the sanctions charge. Rather than repeating tired rhetoric urging all parties to refrain from provoking and threatening each other, it could suspend oil exports and foreign currency dealings. Rather than staging an unnecessary set piece forum on President Xi's "one belt, one road" slogan next month, it could host an emergency conference for Asia on dealing with North Korea. That Beijing will not lead on North Korea is China's tragedy and Asia's tragedy.
A: | Why Beijing should lead on the North Korean crisis | 4 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.03114946186542511,
0.4907763600349426,
-0.4229121804237366,
-0.6215064525604248,
0.827908992767334,
-0.3608071208000183,
0.299701064825058,
0.8296785950660706,
0.23044897615909576,
0.2764408588409424,
0.12406541407108307,
0.6912286877632141,
-0.3945464491844177,
0.4277529716491699,
-0... |
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".
[Q]: English: On his return home, Safarov was met with a hero's welcome, given a pardon by president Ilham Aliyev, promoted to the rank of major, awarded eight-years of back-pay and given a house.
Japanese: IFAとIOCはその国での試合を誰が管理するかをめぐって数年間争ってきた。
[A]: No
[Q]: English: Barr Laboratories requested that the drug be approved for OTC sale for adults and prescription-only sale for minors.
Japanese: バー・ラボラトリーズは、その薬を大人にはOTC販売、未成年には処方箋での販売のみが承認されるように要求した。
[A]: Yes
[Q]: English: The girl claimed that Langham took her virginity at the age of 14, but Judge Statman said, "The Crown accepts that there is no evidence to support these particular counts on the indictment."
Japanese: その少女はランガム氏が彼女の処女性を14歳のときに奪ったと主張したが、スタットマン判事は「クラウン法廷はその告発にある訴因を支持する証拠は何もないと認める」と言った。
[A]: | Yes
| 5 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.049072787165641785,
-0.0495833083987236,
-0.06416527181863785,
-0.19727137684822083,
0.07871721684932709,
-0.36668190360069275,
0.06197638809680939,
0.35696691274642944,
-0.05712351202964783,
-0.48522627353668213,
-0.5329533219337463,
0.7113558053970337,
-0.9613138437271118,
0.2603801488... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Example: Un bărbat pune brânză mărunțită pe o pizza.
Example solution: A man is spreading shreded cheese on a pizza.
Example explanation: In the given translation process, the tense of both sentences, quantitative measures, entity name, the polarity of the sentence remains the same.
Problem: Farurile de la o mașină albastră.
| Solution: The headlights on a blue car. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.44438636302948,
0.6533404588699341,
0.6924808025360107,
-0.09405265003442764,
-0.23738758265972137,
0.10661454498767853,
0.8445624709129333,
0.9510737657546997,
0.5380628108978271,
-0.0054908930324018,
-0.4119957685470581,
0.7604800462722778,
-0.35023534297943115,
-0.025640573352575302,... |
instruction:
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact.
question:
Fact 1: Mammals can also generate little bursts of heat by shivering.
Fact 2: All humans are mammals.
answer:
humans can generate little bursts of heat by shivering.
question:
Fact 1: a warm front causes cloudy and rainy weather.
Fact 2: Behind the warm front are thick, low stratus clouds and possibly more rain.
answer:
cloudy and rainy weather is accompanied by stratus clouds.
question:
Fact 1: Most aquatic organisms do not have to deal with extremes of temperature or moisture.
Fact 2: Wetting provides moisture to make brine.
answer:
| Most aquatic organisms do not have to deal with extremes of temperature or wetness.
| 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.03696977719664574,
0.6082409620285034,
-1.0139548778533936,
0.08562470972537994,
-0.737796425819397,
-1.5654127597808838,
0.0531136691570282,
0.9902058839797974,
-0.7439234256744385,
0.058784231543540955,
-0.7360368967056274,
0.16395637392997742,
-0.15857601165771484,
-0.091665305197238... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['n', 'E', 'F', 'W', '8557', 'Y', '4849', '187', '4657', '641']
A: | 8557, 4849, 187, 4657, 641 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.34112316370010376,
0.5698229074478149,
0.12296395003795624,
-0.9180114269256592,
-0.12865859270095825,
-0.8907424807548523,
0.5678673982620239,
-0.22919054329395294,
-0.2509509325027466,
0.5367618203163147,
-0.3222913146018982,
0.2721644639968872,
-0.24263733625411987,
0.0916790366172790... |
Given the task definition and input, reply with output. In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
[[-26, 19, 17], [-49, -47, 19, -12], [-39, -48], [-8, -13, 19, 47, -23], [29, 18], [5, 14, 4, 24, 40]]
| [-26, -12, -48, -8, 18, 53760] | 5 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.5758612155914307,
0.7027934193611145,
-0.16576288640499115,
-0.22716684639453888,
-0.07812917232513428,
-0.17197482287883759,
1.024932861328125,
-0.006450301501899958,
0.04833889752626419,
-0.24699711799621582,
-0.6260660290718079,
0.2356758862733841,
-0.5262188911437988,
-0.28559520840... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
question:
Nei suoi sogni, piroetta e gira con le dita dei piedi bacia la terra.
answer:
W snach obraca się i wiruje, a palcami nóg całuje Ziemię.
question:
Per cominciare vorrei introdurre dei personaggi da un libro che ho scritto per i ragazzi.
answer:
Na początek opowiem o kilku postaciach z książki, którą wydałem dla nastolatków.
question:
In realtà ho incluso anche storie di mia nonna.
answer:
| Zawarłem w niej opowieści mojej babci. Zawarłem w niej opowieści mojej babci.
| 9 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.4089409410953522,
1.463974118232727,
-0.3345922529697418,
0.05567404627799988,
-0.5943114757537842,
-0.5028287172317505,
1.3100204467773438,
-0.5773423910140991,
-0.7516082525253296,
-0.7803981304168701,
-0.3033500015735626,
0.6819223761558533,
-0.5689868927001953,
0.08640416711568832,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: پس با نعمت و بخششى از جانب خدا، [از میدان نبرد] بازگشتند، در حالى که هیچ آسیبى به آنان نرسیده بود، و همچنان خشنودى خدا را پیروى کردند، و خداوند داراى بخششى عظیم است.
A: | And returned with God's favour and grace without harm, for they attended the pleasure of God; and great is the benevolence of God. | 9 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.97666335105896,
1.1522483825683594,
-0.36988699436187744,
-0.8585806488990784,
-0.8265658617019653,
-0.5588902831077576,
1.4502218961715698,
0.6959061622619629,
0.406919002532959,
-0.4262939989566803,
-0.8737656474113464,
1.376079797744751,
-0.41170573234558105,
0.462260365486145,
0.0... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example input: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Example output: B
Example explanation: Since the blank is someone who received the gift and already had a stuffed animal, the answer must be "Christine".
Q: Derrick told Kevin how he met the President of the United States last week. _ was astonished by the story. (A) Derrick (B) Kevin
A: | B | 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.19446873664855957,
0.004913701675832272,
0.04771909490227699,
-0.4954091012477875,
-0.20003649592399597,
-0.8102148771286011,
0.8447304964065552,
0.4340214133262634,
-0.199681356549263,
0.5289942622184753,
0.3658496141433716,
0.35046523809432983,
0.4122942090034485,
0.039531562477350235,... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
همین و بس. آخر داستان!
A: | Period. End of story. | 7 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
0.03938698023557663,
0.8960586786270142,
0.2469410002231598,
-0.22143936157226562,
-0.9808089137077332,
-0.29195085167884827,
0.6010460257530212,
0.22820185124874115,
0.599652111530304,
-0.25128859281539917,
-0.4298169016838074,
0.6530706882476807,
0.553491473197937,
0.6271458864212036,
... |
Detailed Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sentence contains motion if it (i) involves the movement of a physical object. (ii) contains verb in present tense indicating the action performed. Sometimes there can be verb which indicates a motion but the motion might have happened in the past and the answers to such sentences is 'No'
Q: The Oracle went up North somewhere.
A: | No | 9 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.8255013823509216,
0.1813334822654724,
-0.08853837847709656,
0.9535021781921387,
-0.47143927216529846,
-0.45913657546043396,
0.2948719561100006,
1.0282065868377686,
0.3243844509124756,
-0.33650505542755127,
-0.27173924446105957,
-0.7773292660713196,
-0.35851067304611206,
0.27417528629302... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
See one example below:
Problem: Brindo soluciones. Estoy muy feliz.
Solution: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Explanation: The Spanish sentence is correctly translated into Polish, because the meaning is preserved.
Problem: RM: Gracias. (JC: Muchas gracias, Reuben). (Aplausos)
Solution: | RM: Dziękuję. (JC: Dziękuję ci, Reuben.) (Brawa) | 4 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7293974757194519,
1.2203142642974854,
-0.4328497052192688,
-0.4738633930683136,
-0.05945761501789093,
-0.8069148659706116,
0.7610039114952087,
-0.022937241941690445,
0.41171032190322876,
-0.1966114342212677,
-0.2867622971534729,
0.7038644552230835,
-0.5693973898887634,
0.228563338518142... |
Teacher:In this task, you are given an article. Your task is to summarize the article in a sentence.
Teacher: Now, understand the problem? Solve this instance: So perhaps we should be profoundly grateful that the coalition government elected in 2010 failed so miserably in its ambition to rebalance the UK towards the makers and away from services (UK manufacturing is still more than 5% smaller than it was before the 2008 crash, whereas the service sector is about 10% bigger).
The point is that manufacturing seems to be struggling again: its output fell 0.5% in July compared with a year ago - and was 0.8% lower compared with the previous month.
As for exports of goods, they fell by £2.3bn to £22.8bn in July - to their lowest since September 2010.
And it was a widening of our deficit with the rest of the world in trade of physical stuff that was wholly responsible for an enlargement of the overall deficit in goods and services to £3.4bn.
Of course it would be foolish to read too much into a single month's figures, but more recent survey data suggests that these statistics are neither anomalous nor a temporary blip.
What is going on? Why, at a time when the British economy is one of the few economic bright spots in the rich developed world, are our manufacturers staring at possible recession?
Well the pound has been strengthening, making our exports less competitive, and the world economy has been slowing down, cutting demand for what we make.
This slowdown has been caused in large measure (as you will surely know by now, since I've been banging on about it) by a deceleration of Chinese growth that has infected the emerging market half of the global economy particularly badly.
All the signs are that this global economy will weaken further.
So thank goodness that we have a world-class service sector, which is around 80% of our economy and seems to be less sensitive to global economic conditions.
And hooray for mild deflation that is increasing British households' disposable income and encouraging them to spend a bit more.
But the economy cannot grow at the current rate of 2.5% a year forever based purely on domestic demand - because we are buying more from the rest of the world than we sell to the rest of the world, and are financing our growth by borrowing from the rest of the world at an unsustainably great rate of 5% of GDP or national income.
Or to put it another way, we run the risk that at some point our overseas creditors won't wish to lend quite so much to us to finance our lifestyles - and at that point, they would want their money back and would dump sterling.
At which ill-starred juncture, the price of imports would shoot up and inflation would rise, forcing the Bank of England to raise interest rates more than would be comfortable in our heavily indebted economy.
Which is another way of saying, as if you hadn't guessed, that we are not immune to global economic conditions, even if right now we - and the US - seem to be jogging along quite nicely, as Japan and the eurozone are struggling to walk.
But let's not end on a sour or dismal note.
Some may despair that the rebirth of British manufacturing hasn't been all that might be desired, but the UK's 5% manufacturing shrinkage since the peak is as nothing compared with the 23%, 16% and 14% contractions suffered by Italy, France and Japan respectively.
Student: | If the British economy was driven by manufacturing we could well be in seriously dire economic straits, figures released today show. | 6 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.1991400271654129,
0.9606133103370667,
-0.8893543481826782,
-0.2263500988483429,
0.6830331087112427,
-0.14187614619731903,
0.00011811917647719383,
0.949586033821106,
-0.7859740257263184,
0.5185202956199646,
-0.29640042781829834,
0.651138186454773,
-0.36276209354400635,
0.37245339155197144... |
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