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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: The Little Red Book was required reading by whom?
A: | mao zedong | 9 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.4790028929710388,
0.6893472075462341,
0.05568648874759674,
-0.8144761919975281,
0.14949825406074524,
-0.2559320330619812,
0.9587768316268921,
-0.5753997564315796,
0.23109747469425201,
-0.7445047497749329,
-0.9323596954345703,
-0.24330714344978333,
-0.44116318225860596,
0.493743240833282... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
तब वह विकेट के पीछे खड़ा होकर हर उस गेंद को रोकने की कोशिश करता है जिसे बल्लेबाज या तो जान-बूझकर खेलता नहीं या खेलते समय चूक जाता है । | Hindi | 0 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.36697641015052795,
0.6181942224502563,
0.3663242757320404,
0.2646239101886749,
-0.14908495545387268,
-0.2855377197265625,
0.17121188342571259,
0.4061799943447113,
0.3550903797149658,
-0.8747168779373169,
-0.9252508282661438,
-0.16990357637405396,
-0.2846331000328064,
-0.0238378457725048... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
4378 aggiunta 4985 sottrazione 3738 aggiunta 370 aggiunta 2877 sottrazione 7246 sottrazione 3087 sottrazione 8647 aggiunta 4300
Output: | -5808 | 1 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
0.13759377598762512,
0.7803239822387695,
-0.6820839047431946,
0.22574354708194733,
-0.3849698305130005,
0.029115350916981697,
0.6314976215362549,
0.8790830969810486,
0.04583316668868065,
-0.4548901319503784,
-0.898587167263031,
-0.3480316996574402,
-0.1821705400943756,
0.6551359295845032,
... |
Instructions: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Input: Who plays Carrie in the TV series `Sex and the city`?
Output: | tv | 3 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.1349310725927353,
0.20896491408348083,
-0.16469216346740723,
-0.11386634409427643,
0.4488063454627991,
-0.008655523881316185,
0.275393545627594,
0.6685041189193726,
-0.2813040018081665,
0.2147347629070282,
0.01575648784637451,
-0.38528743386268616,
-0.33404916524887085,
-0.1724296212196... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Input: Las empresas se vuelven, por naturaleza, menos innovadoras a medida que son más competentes.
Output: | 企業が成熟期を迎えると必然的に進化が衰えます | 2 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-1.2956544160842896,
0.42841795086860657,
-0.027782868593931198,
-0.7205742001533508,
-0.19288472831249237,
-0.37367749214172363,
-0.17072102427482605,
0.9129214286804199,
0.7057574987411499,
-0.3444864749908447,
-0.5976864695549011,
-0.4293690323829651,
-0.41487759351730347,
0.37388926744... |
Definition: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Input: Global warming has two main applications. The first is that there are certain gases that trap heat in the atmosphere, warming planets. This is known to take place on Venus, Earth, and the gas giants. Earth is the hospitable place that it is because of global warming.\n\nThis takes place because of greenhouse gases, which allow radiation from the sun to pass through the atmosphere and warm the surface of the earth. The surface then re-radiates this energy back towards space in the infrared spectrum. This energy would escape and our planet would be as cold as the moon, were it not for the greenhouse gases (mainly CO2, ozone, methane, and water vapor). They absorb the infrared energy and radiate it back to earth, increasing the overall amount of radiation hitting the earth's surface, keeping it warm day and night.\n\nThat this takes place is clear and indisputable. There is simply too little energy coming from the sun to account for our planet's temperature. The controversial point is when global warming is applied to the current rise in average global temperature that has taken place over the past 50 so years. Most scientists believe that warming of the planet is due to increases in greenhouse gases, mainly CO2, mainly due to human activities on earth.
Output: | what is the concept of global warming? | 2 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.5887790322303772,
0.4363561272621155,
-0.3187730610370636,
0.41033852100372314,
0.0816693902015686,
-1.819108486175537,
0.46913737058639526,
0.26011815667152405,
-0.19326305389404297,
0.016806650906801224,
-0.5950232744216919,
0.29825153946876526,
-0.4092598557472229,
0.4527830481529236,... |
Instructions: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Input: Hydrocarbons compounds, which serve as fuels and are used in manufacturing, are called the driving force of western civilization.
Output: | What compounds, which serve as fuels and are used in manufacturing, are called the driving force of western civilization? | 3 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.24110053479671478,
1.1004276275634766,
0.36753836274147034,
-0.6623694896697998,
-0.5733686685562134,
-1.6224045753479004,
-0.013062268495559692,
0.7205277681350708,
-0.09585349261760712,
-0.42622625827789307,
-0.6677250862121582,
-0.42032957077026367,
-0.09876624494791031,
-0.5318753719... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Let me give you an example: Passage: I submitted the hit. The hit was approved, and then I was paid. Question: What happened after I submitted the hit? Events: ['submitted', 'approved', 'paid'].
The answer to this example can be: approved, paid
Here is why: From the passage, we can infer that events approved and paid happened after the event submitted. Therefore, the answer to this question is "approved, paid".
OK. solve this:
Passage: The Abu Sayyaf members resisted arrest and resulted in a brief gunfight and the killing of Joselito Nazara, said Caringal. Jayrold Nazara was arrested by the same operatives in a follow- up operation at an Abu Sayyaf safe house at the village of Pamucutan, also in Zamboanga City, the officer said, adding that Jayrold Naraza did not resist arrest. Question: What happened before the gunfight? Events: ['resisted', 'gunfight', 'killing', 'said', 'arrested', 'operation', 'said', 'adding', 'resist']
Answer: | 8 | NIv2 | task390_torque_text_span_selection | fs_opt | [
1.0324745178222656,
0.23310640454292297,
-0.4059597849845886,
0.3769071698188782,
0.4487871527671814,
-0.521409273147583,
0.8422272205352783,
0.7454134821891785,
-0.38198354840278625,
0.6020642518997192,
-0.5611168742179871,
-0.024026958271861076,
-0.9977006316184998,
0.007469316944479942,... | |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:אנחנו בברקלי ביוניקס קוראים לרובוטים אלה אקסוסקלטון (שלד מכני חיצוני).
Solution: | ما در "" برکلی بایونیکس "" به این روبات ها اگزو اسکلت (اسکلت بیرونی) می گوئیم. | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.7759915590286255,
0.6989023089408875,
-0.2636116147041321,
0.4497390389442444,
-1.0075925588607788,
-0.46969103813171387,
0.6092773675918579,
0.033270902931690216,
1.336379051208496,
-0.15623612701892853,
-0.9674458503723145,
1.3848638534545898,
-0.7729267477989197,
0.7303282022476196,
... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
Q: Article: Roger Federer and Serena Williams have been named as 2009' s world champions by the International Tennis Federation(ITF) after topping the year-end rankings. Federer, who wins the honour for the fifth time, completed a career Grand Slam at Roland Garros before winning his 15th Grand Slam ride at Wimbledon. And Williams won the Australian Open and Wimbledon, her llth major success. The pair will receive their awards at the annual 1TF world champions dinner in Paris in June. Federer regained the world number one ranking from Rafael Nadal after his Paris victory and his Wimbledon win over Andy Roddick saw him surpass Pete Sampras' haul of Grand Slam titles. He was also runner - up at the Australian Open and the US Open and helped his country retain its Davis Cup world group status. " It is an honour for me to be named ITF world champion for a fifth time.It was an incredible year for me both on and off the court," said the 28 - year - old Swiss star whose wife Mirka gave birth to twin girls in July. "To win my first Roland, Garros title, break the all - time Grand Slam record and regain the number one ranking is amazing.It means a lot to me to finish the year again at the top." Williams takes _ for the first time since 2002.As well as her Grand Slam wins, she won the season - ending WTA Championships in Doha.sealing the top ranking in the last event of die year. She also took the doubles year award with sister Venus after taking their career total to 10 Grand Slam titles.In doing so, she joins Lindsay Davenport and Martina Hingis as the only players to become singles and doubles world champions in the same year. American twins Bob and Mike Bryan were named as the men' s doubles world champions for the sixth time in seven years.
Question: What's the main idea of the text?
Options: (A) Roger Federer got his fifth world champions. (B) Serena Williams was named the ITF world champion. (C) Roger Federer won his first Roland Garros title. (D) Williams & Federer were named 2009' s world champions.
A: | D | 4 | NIv2 | task309_race_answer_generation | zs_opt | [
0.4621207118034363,
0.2763507664203644,
-0.42064303159713745,
0.17619282007217407,
0.35752278566360474,
-0.3587211072444916,
0.5021902322769165,
1.061445713043213,
0.128066748380661,
-0.092081218957901,
-0.19793882966041565,
0.9539200067520142,
-0.3386104702949524,
0.18507488071918488,
-... |
Part 1. Definition
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Part 2. Example
Comets, Asteroids and Planets around a Nearby Star (SPACE.com) SPACE.com - A nearby star thought to harbor comets and asteroids now appears to be home to planets, too. The presumed worlds are smaller than Jupiter and could be as tiny as Pluto, new observations suggest.
Answer: Sci/Tech
Explanation: The topic of the news article is relevant to science(astronomy). Hence, the label is 'Sci/Tech'.
Part 3. Exercise
Huge poll protest grips Ukraine Ukraine's opposition leader urges thousands of supporters to defy the government, alleging massive poll fraud.
Answer: | World | 7 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.46553051471710205,
0.43899601697921753,
-0.24670258164405823,
0.5024348497390747,
-0.09424430131912231,
-0.10808197408914566,
-0.39201369881629944,
0.12771040201187134,
-0.5795401334762573,
0.275204598903656,
-0.6030520796775818,
0.48078441619873047,
-0.036335498094558716,
-0.1968229562... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Q: Sentence 1: Thus, successful organizations recognize-and implement reform efforts on the basis of-the essential connection between sound management and the programmatic results those organizations hope to achieve. Sentence 2: There is no connection between management and results.
A: | yes | 4 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7502625584602356,
1.0663301944732666,
0.4747886657714844,
-0.12729337811470032,
-0.06378836184740067,
-0.6002069711685181,
0.42662307620048523,
1.1305848360061646,
0.19842064380645752,
0.6031307578086853,
0.19900088012218475,
-0.9500005841255188,
-0.49766403436660767,
-0.069618523120880... |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
Q: Remove stuck lego pieces.
A: | Spray cooking spray in between cracks. | 4 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.12341456860303879,
1.0280115604400635,
-0.6039642095565796,
0.07981269806623459,
-0.1368989646434784,
-0.7098581194877625,
0.5160894393920898,
0.3948110342025757,
-0.2634657621383667,
0.12889796495437622,
-0.08233121037483215,
0.3415690064430237,
-0.4525303244590759,
0.12371576577425003,... |
Part 1. Definition
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.
Part 2. Example
[47, 444, 859, 530, 197, 409]
Answer: [47, 859, 197, 409]
Explanation: The integers '444' and '530' are not prime integers and they were removed from the list.
Part 3. Exercise
[572, 51, 163, 83, 101, 433, 123, 522, 995, 367, 414, 353, 942, 643, 319, 150, 79, 783, 743]
Answer: | [163, 83, 101, 433, 367, 353, 643, 79, 743] | 7 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.24648244678974152,
0.16684600710868835,
-0.4709363877773285,
-0.5162840485572815,
0.2085169553756714,
-0.2240019142627716,
1.0333623886108398,
0.49177807569503784,
-0.03149509057402611,
0.2609146237373352,
-1.27084481716156,
-0.5670400261878967,
-0.3429563343524933,
-0.33349609375,
0.... |
Given the task definition and input, reply with output. Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No".
News Headline: {Trump} judicial nominee refuses to express support for landmark desegregation ruling
Edit: bonehead
Label: Not Funny
| No | 5 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.8601504564285278,
0.8510395288467407,
0.5066215395927429,
0.14871260523796082,
-0.5831303596496582,
-0.7425321340560913,
0.005557727534323931,
0.6508791446685791,
-0.14834052324295044,
-0.5761359930038452,
-0.6302335858345032,
-0.1950504183769226,
-0.4703299403190613,
0.1097593754529953... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
See one example below:
Problem: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Explanation: The Hebrew sentence is correctly translated into Arabic, because the meaning is preserved.
Problem: והנטל הכלכלי של אסתמה עולה על זה של חולי HIV ושחפת יחד.
Solution: | و العبء الإقتصادي الناجم عن مرض الربو .تجاوز الأعباء الإقتصادية الناتجة عن فيروس نقص المناعة البشرية والسل مجتمعة | 4 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.1527595967054367,
0.48654377460479736,
-0.16035163402557373,
-0.4232305884361267,
-0.24352648854255676,
0.12936145067214966,
1.0345609188079834,
0.19542273879051208,
0.49217846989631653,
-0.31146901845932007,
-0.9830072522163391,
0.5292602777481079,
-0.6683419942855835,
0.13020394742488... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Problem:Abbiamo preso piccoli robot che avevamo creato con avvolta della fibra ottica.
Solution: | یک سری دستگاه های کامپیوتری کوچک که ساخته بودیم را آوردیم که به یک فیبر نوری وصل می شد. | 8 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.027908053249120712,
1.4890310764312744,
-0.22192728519439697,
0.07012678682804108,
-0.8929830193519592,
-0.20493555068969727,
0.5708131790161133,
0.6427491903305054,
0.42116373777389526,
0.624191164970398,
-1.3158633708953857,
0.31071075797080994,
-0.16471707820892334,
0.082416266202926... |
Given the task definition, example input & output, solve the new input case.
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Example: De Britse premier David Cameron noemt de TTIP een ‘once in a generation prize’ en wijst op de potentiele winst van 80 miljard pond (125,5 miljard dollar) voor zowel de EU en de VS en 85 miljard pond voor de rest van de wereld.
Output: O Primeiro-Ministro britânico, David Cameron, designou a TTIP como “uma recompensa que surge apenas uma vez ao longo de uma geração”, referindo os ganhos potenciais no valor de 80 mil milhões de libras esterlinas (125,5 mil milhões de dólares) para a UE, um montante idêntico para os EUA e 85 mil milhões de libras esterlinas para o resto do mundo.
The given translation is precise and accurate with proper nouns preserved.
New input case for you: Op 12 september zal de Europese Commissie zijn voorstellen voor een Gemeenschappelijk Systeem van Toezicht op de Banken presenteren, gebaseerd op drie beginselen:
Output: | A 12 de Setembro, a Comissão apresentará as suas propostas para um Mecanismo Único de Supervisão Bancária baseado em três princípios-chave: | 1 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.37476471066474915,
0.28697669506073,
-0.05134119838476181,
0.03743014484643936,
0.1781216859817505,
0.2573530077934265,
-0.5091037750244141,
0.7719162106513977,
0.1961783468723297,
0.6232142448425293,
0.15376339852809906,
0.6142212152481079,
-0.28385746479034424,
-0.05661533772945404,
... |
Translate the given Spanish text to English
[EX Q]: Systems for showing such relationships are described.
[EX A]: Se describen sistemas para mostrar tales relaciones.
[EX Q]: Theliquid is preferably introduced by means of a sealed cartridge (5), which maybe supplied separately or as an integral part of the device.
[EX A]: El liquido se introduce preferentemente por medio de un cartucho sellado (5), que puede suministrarse por separado o como parte integral del dispositivo.
[EX Q]: A probe of the thermometer includes a flex circuit containing electronic components used to measure temperature and transmit signals to a calculating unit of the thermometer.
[EX A]: | Una sonda del termometro incluye un circuito flexible que contiene componentes electronicos usados para medir la temperatura y transmitir las senales a una unidad calculadora del termometro.
| 6 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.6113836765289307,
0.23526310920715332,
-0.49391186237335205,
-0.3883955776691437,
-0.24020510911941528,
-0.35447126626968384,
0.3280566334724426,
0.278090238571167,
-0.3475734293460846,
0.04182588309049606,
0.3542782664299011,
0.09505584836006165,
-0.22585150599479675,
0.57621169090271,... |
Given the task definition and input, reply with output. In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Statement: If we choose Obamacare expansion, 600,000 will lose eligibility for their subsidies, of which 257,000 would be forced into Medicaid.
Subject: health-care,medicaid,state-budget
| True | 5 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.6900923252105713,
0.541560173034668,
-0.23149177432060242,
0.031122811138629913,
-0.368267297744751,
-0.4570220112800598,
0.6529268026351929,
0.09694226086139679,
0.7818734645843506,
-0.06274645030498505,
-0.6772018671035767,
0.2215721309185028,
-0.15200276672840118,
-0.0656403675675392... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
See one example below:
Problem: Person1: Passport , please , madam .
Person2: Just a minute , please . It's in my bag . Here it is .
Person1: Thank you . Please fill out the Baggage Declaration Form .
Person2: All right . Shall I enter all my belongings ?
Person1: No , only the articles listed on the Declaration .
Solution: 0
Explanation: The first sentence in the conversation begins with a request, therefore there is no presence of a question.
Problem: Person1: Let's meet tonight at the Thai restaurant at about 5 .
Person2: Fine , I'll take a taxi .
Person1: Why don't you walk ? It's only about 20 minutes walking and it's a nice evening .
Person2: Never thought about it , I sure you are right . It's quite a short walk .
Person1: Ha-ha , see you then .
Solution: | 0 | 4 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.4846240282058716,
0.15369227528572083,
-0.45044511556625366,
0.6159923672676086,
0.12073240429162979,
-0.12393700331449509,
0.18329466879367828,
0.245256245136261,
-0.18568672239780426,
0.2048811912536621,
-0.08116623759269714,
-0.5998988151550293,
-0.0804322361946106,
-0.049794450402259... |
You will be given a definition of a task first, then some input of the task.
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words.
Passage: Various immediate causes having been ascribed to causing the outbreak of violence in 1454. Professor Griffiths has suggested that Lord Cromwell's manor of Wressle, Yorkshire, was seized by the Percys following the joining of the Cromwell and Neville families in marriage in 1453 , and that Cromwell viewed the Nevilles as allies against the Percys. Likewise, Warwick's feud with Somerset in south Glamorgan may have driven him into an alliance with the duke of York against him. Griffiths also suggests that the single most important event to precipitate the feud was the marriage of Salisbury's second son, Thomas Neville to Maud Stanhope, the widow of Robert, Lord Willoughby. Not only, says Griffiths, was any further aggrandisement for Salisbury's family anathema to the Percys, but the new Cromwell connection gave the Nevilles access to the ex-Percy manors of Wressle and Burwell, two-thirds of which had each been granted to Cromwell for life in February 1438, together with the reversion of the remainder. This grant was then converted into one in fee simple two years later, further reducing the likelihood of the Percys reclaiming it. Griffiths has calculated Burwell to have been worth an income of c. £38 10s 6d per annum in 145-6. These manors had been forfeited in 1403 by the first earl of Northumberland after the failure of the Percy Rebellion against Henry IV, and Cromwell's holding them in fee-simple meant they were available to him to grant away to whoever he liked.
Question: What year was the grant that gave two-thirds of the ex-Percy manors to Cromwell converted?
Answer type: Date
Output: | {'day': '1440', 'month': '', 'year': ''}. | 1 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.3327215611934662,
1.1294751167297363,
0.11008500307798386,
0.11594896018505096,
0.5637270212173462,
-0.8294711709022522,
0.5736863017082214,
0.6202586889266968,
-0.17499510943889618,
0.008215969428420067,
-0.2709187865257263,
0.5830541849136353,
-0.3044049143791199,
-0.470366895198822,
... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Example input: Everyone had an opportunity to share their opinion.
Example output: English
Example explanation: The input sentence is in the English language as all the characters are in English and it is recognized as English so it is a positive example.
Q: Ojú ọjọ́ tó ń gbóná kọjá sísọ àti ọ̀gbẹlẹ̀ tó lágbára ti yọrí sí iná lórílẹ̀-èdè Portugal, tọ̀tẹ̀ yìí ló sì tíì pààyàn jù lórílẹ̀-èdè náà.
A: | Yoruba | 3 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
-0.664038896560669,
0.670656681060791,
0.6465837359428406,
-0.20814846456050873,
-0.17935150861740112,
-0.636264443397522,
-0.12295675277709961,
0.7314907908439636,
0.3907724916934967,
-0.657300591468811,
0.4561704397201538,
0.3976209759712219,
-0.14713236689567566,
0.11833597719669342,
... |
In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
--------
Question: در ایالات متحده، نرخ رخداد ایست قلبی خارج از بیمارستان، حدود ۵٫۲ در ۱۰٬۰۰۰ نفر در سال است. احتمال ایست قلبی در دوران سالمندی شایعتر، و وقوع آن در مردان متداولتر از زنان است. میزان احیای افراد پس از ایست قلبی(داخل بیمارستان) حدود ۵۰ درصد است. با این حال نرخ بقای طولانی مدت، (با عوارض نورولوژیک خفیف تا متوسط) چیزی حدود ۱۰ درصد است. بسیاری از افراد پس از ایست قلبی با معلولیتهای شدید مواجه خواهند بود.
Answer: چه کسانی دچار ایست قلبی می شوند؟
Question: خاکشیر سبزهای است که برای رشد فقط به ۵ الی۶ روز زمان نیاز دارد. پس اگر خیلی دیر به فکر سبز کردن سبزه نوروز شدید، خاک شیر گزینه مناسبی است.
Answer: کدام سبزه عید زودتر سبز میشود؟
Question: از مشهورترین موارد وتو در دوران معاصر استفاده از حق وتو در شورای امنیت سازمان ملل متحد است. کشورهایی که حق وتو دارند عبارتاند از: ایالات متحده آمریکا، روسیه، فرانسه، انگلستان و چین. بر اساس منشور اساس سازمان ملل متحد، شورای امنیت دارای ۱۰ عضو غیر دائم و ۵ عضو دائم است. اعضای دائم شورا دارای حق «وتو» هستند. از ابتدای تأسیس سازمان تا کنون، نسبت به این حق، نظریات متفاوتی اظهار شده و بیشتر این نظریات، مخالف این حق بودهاند. اکنون، که این مخالفتها شدت یافته، برخی از کشورها مدعی استحقاق برخورداری از حق وتو هستند.
Answer: | چه کشورهایی دارای حق وتو هستند؟
| 7 | NIv2 | task468_parsinlu_rc_question_generation | fs_opt | [
0.46935081481933594,
0.5015008449554443,
-0.6466659307479858,
1.1212892532348633,
-0.13613426685333252,
-0.134596586227417,
0.5449607968330383,
0.7037339210510254,
0.4329201579093933,
0.336738646030426,
-1.0481535196304321,
0.43560904264450073,
-0.4382080137729645,
0.4993743598461151,
0.... |
Construct a question that every answer in the list is correct and reasonable for it.
[Q]: having a photo taken, hear a bad joke, job interview, upset, meeting new people, nervous
[A]: name an instance when you fake a smile
[Q]: doctor, shrink, lawyer, plumber, construction, teacher, massage therapist
[A]: if she really wants to be happy, name an occupation jannifer aniston should date, instead of actors.
[Q]: golf, gardening, traveling, fishing, playing an instrument, knitting
[A]: | name an activity people commonly take up after retirement
| 5 | NIv2 | task821_protoqa_question_generation | fs_opt | [
-0.6975519061088562,
0.40236353874206543,
-0.3895588517189026,
-0.7416754961013794,
0.4643401801586151,
-0.7048885822296143,
-0.20000764727592468,
-0.2161439061164856,
0.4265974164009094,
-0.00495996605604887,
0.5909199714660645,
-0.09448855370283127,
-0.33789336681365967,
-0.1767105013132... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतलेले दिसते. तर आंध्रप्रदेश, कर्नाटक, <MASK> आणि प.बंगालमध्ये "शाळेतील बाग" योजना राबवत लागणाऱ्या अन्नातील काही भाग शाळेच्याच आवारात मुलांकडून उगवला जात आहे. तामिळनाडू मध्ये सरकारने "सामायिक डायनिंग हॉल" बांधून दिले आहेत तर गुजरातमध्ये सामाजिक संस्थांचा सहभाग वाढवण्यात आला आहे.
Option A: भारतात
Option B: पंजाब
Option C: चंडीगढ
Option D: छत्तिसगढ
Solution: पंजाब
Why? The most suitable word from the given options to replace the <MASK> token is पंजाब as that state was part of the social campaign in India .
New input: Statement: डॉ .के.रा. जोशी यांचा जन्म महाराष्ट्रातल्या विदर्भातील छिंदवाडा जिल्ह्यात ७ मार्च इ. स. १९२८ रोजी झाला. ते नागपूर विद्यापीठातून एम.ए.पीएच.डी. झाले. त्यानंतर साहित्याचार्य (जयपूर), काव्यतीर्थ (कोलकाता), साहित्योत्तमा (<MASK>), संपूर्ण दर्शन मध्यमा (वाराणसी) या पदव्याही त्यांनी संपादन केल्या.
Option A: बडोदा
Option B: नागपूर
Option C: वाराणसी
Option D: टेंभू
Solution: | बडोदा | 0 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
-0.00920986570417881,
0.8603506684303284,
0.10623336583375931,
-0.3421223759651184,
-0.2852051556110382,
-0.09893177449703217,
0.2003236711025238,
0.7681921720504761,
-0.7168834805488586,
-0.07865224778652191,
0.033442627638578415,
-0.10671816766262054,
-0.36956650018692017,
0.468538701534... |
Q: This task is about translating a given English language sentence to Yoruba language.
Article 2
A: | Abala kejì | 7 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.18123403191566467,
1.4114279747009277,
0.7637542486190796,
-0.12970730662345886,
0.052053503692150116,
-0.19172753393650055,
-0.0711432695388794,
0.4616920053958893,
0.4013783633708954,
-0.806656002998352,
0.6856414079666138,
0.4877038598060608,
-0.8451182246208191,
0.1578066647052765,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example: Review: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Summary: Cat hates them
Example solution: True
Example explanation: The answer is True. Because it's a correct summary where the owner mentioned their cat hated the product.
Problem: Reviews: Purse is beautiful But I did not get the shoulder strap
Summary: Does block SOME noise but still not worth the price to me
| Solution: False | 5 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5134987235069275,
0.12883418798446655,
-0.12110409885644913,
-0.29986101388931274,
-0.09305225312709808,
-0.6227980852127075,
0.30615702271461487,
0.5642207264900208,
-0.584186315536499,
0.3653532862663269,
-0.24011218547821045,
0.0598459355533123,
-0.7055565118789673,
-0.10857789218425... |
TASK DEFINITION: You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
PROBLEM: original question: Which drug has a physiologic effect of [Actively Acquired Immunity]?
paraphrase: [Actively Acquired Immunity] can be felt physically with which drug?
SOLUTION: No
PROBLEM: original question: Which public library is in the library system of [Bradford Public Library]?
paraphrase: [Bradford Public Library] is in which public library?
SOLUTION: No
PROBLEM: original question: Which government has an agency which has a successor agency of [Madhya Pradesh Police]?
paraphrase: Which government has the [Madhya Pradesh Police]?
SOLUTION: | No
| 8 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.11812996119260788,
0.4292868673801422,
0.15126930177211761,
-0.6508358716964722,
-0.4217216372489929,
-0.8112050294876099,
1.100974202156067,
0.24942325055599213,
0.5299113988876343,
-0.1775006353855133,
-0.799297034740448,
0.34363919496536255,
-1.185569167137146,
0.15115928649902344,
... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Q: The problem with the editorial and your comment is that it is myopic. There is much more enterprise in the local economy than just software. Even in software, there has been activity for decades with game companies and educational software employing up to hundreds back to the early nineties. But beyond the tiny software industry tens of thousands are employed in other lines of work and new companies are starting all the time but without incubators or fan fare. Software jockey's tend to think highly of themselves, but those of use who have started high tech manufacturing companies and such see the focus to be a bit misplaced. The overall health of the local economy is dependent on a broad spectrum of activity far beyond software. Software is a small and competitive industry. Local focus should support the broader spectrum of new business including manufacturing, timber, medical, etc.
A: | No | 4 | NIv2 | task1722_civil_comments_threat_classification | zs_opt | [
-1.2499158382415771,
0.8239591121673584,
0.03985266387462616,
-0.23724253475666046,
-0.16814514994621277,
-0.4199999272823334,
0.2912224531173706,
0.8389357924461365,
0.6946620345115662,
-0.18715685606002808,
0.0005791373550891876,
-0.002099832287058234,
-0.24381402134895325,
-0.3034861385... |
Detailed Instructions: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
See one example below:
Problem: De Britse premier David Cameron noemt de TTIP een ‘once in a generation prize’ en wijst op de potentiele winst van 80 miljard pond (125,5 miljard dollar) voor zowel de EU en de VS en 85 miljard pond voor de rest van de wereld.
Solution: O Primeiro-Ministro britânico, David Cameron, designou a TTIP como “uma recompensa que surge apenas uma vez ao longo de uma geração”, referindo os ganhos potenciais no valor de 80 mil milhões de libras esterlinas (125,5 mil milhões de dólares) para a UE, um montante idêntico para os EUA e 85 mil milhões de libras esterlinas para o resto do mundo.
Explanation: The given translation is precise and accurate with proper nouns preserved.
Problem: Zo'n 14,5% van de Amerikaanse bevolking als geheel is arm, maar 19,9% van de Amerikaanse kinderen – zo'n 15 miljoen individuen – leeft in armoede.
Solution: | Cerca de 14,5% de toda a população Americana é pobre, mas 19,9% das crianças – perto de 15 milhões de indivíduos – vivem na pobreza. | 4 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.6065676808357239,
0.7578126788139343,
-0.07670200616121292,
-0.34420883655548096,
-0.35277676582336426,
0.26983556151390076,
-0.13342130184173584,
0.871778130531311,
0.4429689347743988,
-0.03939010575413704,
-0.25342079997062683,
0.8568634390830994,
-0.7240926027297974,
0.07922500371932... |
Q: In this task, given a sentence in the Malay language, and your task is to convert it into the English language.
Beliau juga menyuarakan panggilan untuk lebih banyak kerja kolar hijau dan menyatakan usaha beliau tentang Akta Kerja Hijau tahun lepas.
A: | He also called for more green-collar jobs and noted his work on last year's Green Jobs Act. | 7 | NIv2 | task539_alt_translation_ma_en | zs_opt | [
-0.6549072265625,
0.565872073173523,
-0.09750866889953613,
-0.7772222757339478,
0.5542954206466675,
-0.8481273651123047,
-0.2272053360939026,
-0.33373507857322693,
-0.20341214537620544,
0.18647469580173492,
-0.19785422086715698,
0.04931651055812836,
0.39607900381088257,
-0.0598862580955028... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[13, 72, 95, -86, -46, 72, 51, 41, -87, 80]
Output: | [13, 95, -86, -46, 41, 80] | 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.1338050812482834,
-0.05225243419408798,
-0.3321981728076935,
-0.23908057808876038,
0.4914090633392334,
0.7088159322738647,
0.9220941662788391,
0.22345302999019623,
-0.22371535003185272,
0.4156753420829773,
-0.27089202404022217,
-0.11562738567590714,
0.07885979115962982,
-0.4189603328704... |
Q: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
It was tiring.
A: | Did you have a good workday? | 7 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.15356120467185974,
1.040332317352295,
-0.11320850253105164,
-1.0983843803405762,
0.2719742953777313,
-1.8650890588760376,
0.055310044437646866,
0.17279237508773804,
-0.12545084953308105,
0.05139889940619469,
-0.3433449864387512,
0.1383984386920929,
-1.1907826662063599,
0.064641192555427... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Problem:Title: John was taking a nap. When he was woken up by a bright blue light. John looked out the window at the source of the light. Choices: a. John cleaned up his mess. b. John saw an ambulance outside with the lights flashing. c. John went outside to see if he could help.
Solution: | bc | 8 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
0.10682415962219238,
0.730628490447998,
0.03387019410729408,
-0.3161861002445221,
-0.27599310874938965,
-0.29839473962783813,
0.6380333304405212,
1.0979406833648682,
-0.10086175054311752,
0.6860631108283997,
-0.6867355108261108,
0.011420822702348232,
-0.29671019315719604,
-0.24644082784652... |
Given the task definition and input, reply with output. In this task, you are given a text of news article and corresponding headline of an article. Your task is to give label "match" if headline is correct for article, otherwise give label "no".
Article: Nigeria at 100 should be celebrated for the fact of the date and not because of the performance leading to all round development of the country. Headline: Nigeria at 100 should be celebrated --
| match | 5 | NIv2 | task1354_sent_comp_classification | zs_opt | [
-0.6033463478088379,
0.7719443440437317,
0.19526126980781555,
0.5655739307403564,
-0.1412719339132309,
-0.13851402699947357,
0.17873971164226532,
0.24485081434249878,
-0.26590144634246826,
0.5351301431655884,
-0.3719410300254822,
-0.24407312273979187,
-1.0449748039245605,
0.385135412216186... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
इसे बढ़ाने के लिए हम भारत में जर्मनी की कंपनियों का खुली बाहों से स्वागत करने के लिए तैयार हैं।
Solution: அதை அதிகரிக்க, இந்தியாவில் ஜேர்மனியின் நிறுவனங்களின் திறந்த ஆயுதங்களை வரவேற்பதற்கு நாங்கள் தயாராக உள்ளோம்.
Why? Correct translation for given sentence. Input sentence means 'In order to increase it, we are ready to welcome the open arms of Germany's companies in India.' which is the same as the output sentence.
New input: देश का प्रधानमंत्री भी आपकी की तरह इस देश का एक बालक है, इस देश का एक नागरिक है।
Solution: | நாட்டின் பிரதமரும் கூட உங்களைப் போல இந்த நாட்டின் பிள்ளை தான். அவரும் இந்த நாட்டின் குடிமகன் தான். | 0 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
0.03811527043581009,
0.32634586095809937,
-0.2322906106710434,
-0.17128843069076538,
0.1178412213921547,
-0.20205648243427277,
1.0496691465377808,
0.5261817574501038,
-0.016544926911592484,
0.40060338377952576,
-0.4427717328071594,
0.18753039836883545,
-0.9908692836761475,
0.08005510270595... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in Arabic, generate a new Arabic 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.
يمكنك أن تُسدّد محفظة بطاقة إئتمان لحمل كل بطاقات إئتمانك
Solution: يمكنك تحميل محفظة بطاقة إئتمان لحمل كل بطاقات إئتمانك.
Why? This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about credit card wallets and the changes in the sentence follows the commonsense knowledge.
New input: « إنكم » يا أهل مكة « لتجدون مرحاضا » في الجنة « صفا صفا » صفا صفا.
Solution: | من المحتمل أن تجد مقعد مرحاض في الحمام. | 0 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.5933891534805298,
0.23991498351097107,
-0.5615108013153076,
-0.6836189031600952,
-0.5763328075408936,
-0.2334003448486328,
0.9309423565864563,
0.40264660120010376,
0.6971458792686462,
-0.1672564148902893,
-0.03819406032562256,
0.09587260335683823,
-0.5464164614677429,
0.4549601078033447,... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Q: concept: Merrell Boots answers: ['Rockford']
A: | where is merrell shoes headquarters? | 4 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
-0.35303983092308044,
1.2959253787994385,
0.23442313075065613,
-0.3006831407546997,
0.10345418006181717,
-1.8748784065246582,
0.00500610563904047,
0.4240615665912628,
0.7505019307136536,
-0.8817539215087891,
-0.36285650730133057,
0.5915700793266296,
-0.9089184403419495,
-0.3182200491428375... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX builds PersonX's houses. Intent: 1) to be respectful 2) to be loved. XEmotion: 1) happy 2) loved
happy to have a home
Event:PersonX puts it another way. Intent: 1) to be well informed. XEmotion: 1) accomplished
understanding
Event:PersonX takes PersonY inside. Intent: 1) to be exciting 2) to be stimulating 3) to be rousing. XEmotion: 1) sought after 2) liked
| appreciated
| 0 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.21219825744628906,
0.2898332178592682,
0.1574767529964447,
-0.3438541889190674,
-0.6624138355255127,
-0.507563591003418,
1.1624327898025513,
0.015207301825284958,
-0.007417395245283842,
-0.383671373128891,
0.29971200227737427,
0.09156829863786697,
-0.7914103269577026,
0.42847901582717896... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Quindi, è una cosa buona.
| Así que está ben. | 5 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.6363451480865479,
1.3130269050598145,
0.20953968167304993,
-0.8921749591827393,
-0.023109309375286102,
-1.2750375270843506,
-0.39826422929763794,
0.3539661765098572,
-0.6531189680099487,
0.063113734126091,
-0.2906551957130432,
0.6397197246551514,
-0.47594112157821655,
0.0988168120384216... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Context_1 : Williston State College (WSC) is a two-year public college in Williston, North Dakota, United States, part of the North Dakota University System. Founded in 1957, WSC provides general, vocational, and technical education. For most of its history the college has worked in close connection with the University of North Dakota. It was originally called University of North Dakota-Williston (UND-W). Context_2 : Charles A. "Jack" West (c. 1890 – October 29, 1957) was an American football, Canadian football, and basketball coach and college athletics administrator. He served as the head football coach at South Dakota State College of Agricultural and Mechanic Arts—now South Dakota State University—from 1919 to 1927 and at the University of North Dakota from 1928 to 1941 and again in 1945, compiling a career college football record of 134–55–14. West was also the head basketball coach at South Dakota State from 1919 to 1926 and at North Dakota during the 1944–45 season, amassing a career college basketball record of 74–66. He coached football teams to 11 North Central Conference titles, three at South Dakota State and eight at North Dakota. In addition, he served as North Dakota's athletic director from 1928 to 1946. West left the college ranks in 1946 to become head coach of the Winnipeg Blue Bombers, then of the Western Interprovincial Football Union, now a division of the Canadian Football League. He died at the age of 67 on October 29, 1957 at his home in Grand Forks, North Dakota. Context_3 : Robert "Bob" Stenehjem ( ; January 12, 1952 – July 18, 2011) was a North Dakota Republican politician, serving in the North Dakota Senate for District 30. He was the Senate Majority Leader from 2001 until his death in 2011. Stenehjem ran for the Republican nomination for a seat on the North Dakota Public Service Commission in 2008 to succeed the retiring Commissioner, Susan Wefald. Stenehjem lost the nomination during the North Dakota Republican Party's state convention on March 29, 2008, coming in second place to eventual nominee Brian Kalk, a professor at North Dakota State University, during the North Dakota Republican Party state convention March 29, 2008. Stenehjem was subsequently re-elected to his seat in the state senate in 2008. Stenehjem was a graduate of Bismarck High School and Bismarck State College. He was a member of Ducks Unlimited and the National Rifle Association. He was the brother of North Dakota Attorney General Wayne Stenehjem. Context_4 : The North Dakota State College of Science (NDSCS) is a two-year public college in Wahpeton, in the U.S. state of North Dakota and part of the North Dakota University System. Founded in 1903 by provision of the state constitution, the State College of Science offers degrees, certificates and diplomas in more than 80 academic options in traditional career and technical studies as well as the liberal arts. The college also offers a variety of distance education and online courses. Approximately 98% of graduates are employed or pursuing additional college education. Context_5 : Lake Region State College (LRSC) is a two-year public college in Devils Lake, North Dakota, United States. It was founded in 1941 as an extension of the public school system and first known as Devils Lake Junior College and Business School. Several name changes have occurred over the years ranging from Lake Region Junior College to Community College. The current name of Lake Region State College was adopted in 1999. From 1987 until 1999, the college was a branch campus of the University of North Dakota in Grand Forks, known as UND-Lake Region. In 1984, the college became a part of the North Dakota University System. Context_6 : North Dakota State University of Agriculture and Applied Sciences, more commonly known as North Dakota State University (NDSU), is a public research university that sits on a 258-acre campus (~1 km) in Fargo, North Dakota, U.S. The institution was founded as North Dakota Agricultural College in 1890 as the research land-grant institution for the state of North Dakota. NDSU is a comprehensive doctoral research university with programs involved in very high research activity. NDSU offers 102 undergraduate majors, 170 undergraduate degree programs, 6 undergraduate certificate programs, 79 undergraduate minors, 81 master’s degree programs, 47 doctoral degree programs of study and 10 graduate certificate programs. There were 13,323 students attending NDSU from 47 different states and 79 different countries as of spring 2017. Context_7 : Williston Basin International Airport (IATA: XWA) is an airport under construction near Williston, a city in the U.S. state of North Dakota. It is located roughly 10 mi northwest of the city. Williston Basin Airport will have two runways and a 110000 sqft terminal building. It is being built to replace Sloulin Field International Airport, which currently serves Williston and has experienced difficulty dealing with the increase in air traffic to Williston amid the North Dakota oil boom. The project is expected to be completed by late 2019. Context_8 : Ron D. Carlisle (born October 28, 1940) is an American politician in the state of North Dakota. He represents the 30th district in the North Dakota State Senate. A Republican, Carlisle was appointed to the Senate in 2011. He previously sat in the North Dakota House of Representatives from 1991 to his defeat in 2008. From 1976 to 2000, he was a delegate to the North Dakota State Republican Convention. He attended Bismarck State College and Black Hills State College and holds Bachelor of Arts and Bachelor of Science degrees and is a former businessman. He also served in the United States Navy. Context_9 : Russell T. Thane (born July 14, 1926), was an American politician who was a member of the North Dakota State Senate. He represented the 25th district from 1971 to 2006 as a member of the Republican party. He is an alumnus of the North Dakota State College of Science, North Dakota State University and Rutgers University Eagleton Institution of Politics. Thane is a farmer, residing in Wahpeton, North Dakota. Context_10 : The University of North Dakota (also known as UND or North Dakota) is a public research university in Grand Forks, North Dakota. Established by the Dakota Territorial Assembly in 1883, six years before the establishment of the state of North Dakota, it is the state's oldest. fact_1 : For most of its history the college has worked in close connection with the University of North Dakota. fact_2 : The University of North Dakota (also known as UND or North Dakota) is a public research university in Grand Forks, North Dakota. Question: Which public research university in North Dakota has worked in close connection with Williston State College for most of its history?
University of North Dakota
Context_1 : Kevin Smith was an active British science fiction fan from the mid-1970s to the mid-1980s, producing such science fiction fanzines as "Drilkjis" (with Dave Langford) and "Dot", writing for fanzines ("Nabu", "Space Junk", and others), chairing British science fiction conventions, editing a 1979 anthology of British fanwriting titled "Mood 70" for Seacon '79, the 37th World Science Fiction Convention, and serving from 1980 to 1982 as editor of "Vector", the critical journal of the British Science Fiction Association. He won the TransAtlantic Fan Fund in 1982. Context_2 : Foundation: The International Review of Science Fiction is a critical peer-reviewed literary magazine established in 1972 that publishes articles and reviews about science fiction. It is published triannually (spring, summer, and winter) by the Science Fiction Foundation. "Worlds Without End" called it "the essential critical review of science fiction", whilst "The Encyclopedia of Science Fiction" has called it "perhaps the liveliest and indeed the most critical of the big three critical journals" (the others being Extrapolation (journal) and Science Fiction Studies). A long-running feature was the series of interviews and autobiographical pieces with leading writers, entitled "The Profession of Science Fiction", a selection of which was edited and published by Macmillan Publishers in 1992. Several issues have been themed, including #93 ("A Celebration of British Science Fiction", 2005), published also as part of the Foundation Studies in Science Fiction. The hundredth edition (Summer 2007) was unusual in that it was an all-fiction issue, including stories by such writers as Vandana Singh, Tricia Sullivan, Karen Traviss, Jon Courtenay Grimwood, John Kessel, Nalo Hopkinson, Greg Egan, and Una McCormack. Back issues of the journal are archived at the University of Liverpool's SF Hub whilst more recent issues can be found electronically via the database providers ProQuest. Context_3 : Vargo Statten Science Fiction Magazine (later Vargo Statten British Science Fiction Magazine, The British Science Fiction Magazine and The British Space Fiction Magazine) was a British science fiction magazine which published nineteen issues between 1954 and 1956. It was initially published by Scion Press, with control passing to a successor company, Scion Distributors, after Scion went bankrupt in early 1954. At the end of 1954, as part payment for a debt, Scion Distributors handed control of the magazine to Dragon Press, who continued it for another twelve issues. E.C. Tubb and John Russell Fearn were regular contributors, and Kenneth Bulmer also published several stories in the magazine. Barrington Bayley's first published story, "Combat's End", appeared in May 1954. The editor was initially Alistair Paterson, but after seven issues Fearn took the helm: "Vargo Statten" was one of Fearn's aliases, and the magazine's title had been chosen because of his popularity. Neither Paterson nor Fearn had enough of a budget to attract good quality submissions, and a printing strike in 1956 brought an end to the magazine's life. Context_4 : Yonggary () is a 1999 South Korean science fiction monster film directed by Shim Hyung-rae and is a reimagining of the character Yonggary, originating from the 1967 film "". Despite being a South Korean production, the film's principal cast consists of Western actors such as Harrison Young, Donna Phillipson, Richard B. Livingston, Briant Wells, Brad Sergi, Dan Cashman, and Bruce Cornwell. Context_5 : Guillermo del Toro Gómez (] ; born October 9, 1964) is a Mexican-American film director, screenwriter, producer and novelist. In his filmmaking career, del Toro has alternated between Spanish-language dark fantasy pieces, such as the gothic horror film "The Devil's Backbone" (2001), and "Pan's Labyrinth" (2006), and more mainstream American action movies, such as the vampire superhero action film "Blade II" (2002), the supernatural superhero film "Hellboy" (2004), its sequel "" (2008), and the science fiction monster film "Pacific Rim" (2013). His latest film, "The Shape of Water", won the Golden Lion at the Venice Film Festival and is scheduled for an American release on December 8, 2017. Context_6 : Monsters: Dark Continent (also known as Monsters 2: Dark Continent or simply Monsters 2) is a 2014 British science fiction monster film written by Jay Basu and English director Tom Green. It is the sequel to 2010's "Monsters", directed by Gareth Edwards. Due to commitments with "Godzilla", Edwards did not return to direct, but served as an executive producer. Filming began in March 2013, taking place in Jordan and Detroit (U.S.). Context_7 : Monsters is a 2010 British science fiction monster film written and directed by Gareth Edwards in his feature film directorial debut. Edwards also served as the cinematographer, production designer, and visual effects artist. "Monsters" takes place years after a NASA probe crash in Mexico which led to the sudden appearance of giant tentacled monsters. It follows Andrew Kaulder (Scoot McNairy), an American photojournalist tasked with escorting his employer's daughter Samantha Wynden (Whitney Able) back to the US by crossing through Mexico's "Infected Zone" where the creatures reside. Context_8 : Pacific Rim is a 2013 American science fiction monster film directed by Guillermo del Toro and starring Charlie Hunnam, Idris Elba, Rinko Kikuchi, Charlie Day, Burn Gorman, Robert Kazinsky, Max Martini and Ron Perlman. The screenplay was written by Travis Beacham and del Toro from a story by Beacham. The film is set in the future, when Earth is at war with the Kaiju, colossal monsters which have emerged from an interdimensional portal on the bottom of the Pacific Ocean. To combat the monsters, humanity unites to create the Jaegers, gigantic humanoid mechas each controlled by at least two pilots, whose minds are joined by a mental link. Focusing on the war's later days, the story follows Raleigh Becket, a washed-up Jaeger pilot called out of retirement and teamed with rookie pilot Mako Mori as part of a last-ditch effort to defeat the Kaiju. Context_9 : Gorgo is a 1961 British-American science fiction monster film directed by Eugène Lourié. The film focuses on Gorgo, an ancient large sea monster brought back to London for exploitation, and Ogra, his even larger mother, who rampages across London to search for him. The film was featured in an episode of the cult movie-mocking television show "Mystery Science Theater 3000". Context_10 : Whitney Nees Able (born June 2, 1982) is an American actress and model. She is best known for her roles in "All the Boys Love Mandy Lane" and "Monsters", and has been featured in "Maxim" magazine. fact_1 : She is best known for her roles in "All the Boys Love Mandy Lane" and "Monsters", and has been featured in "Maxim" magazine. fact_2 : It follows Andrew Kaulder (Scoot McNairy), an American photojournalist tasked with escorting his employer's daughter Samantha Wynden (Whitney Able) back to the US by crossing through Mexico's "Infected Zone" where the creatures reside. Question: In which magazine has the actress, who played Samantha Wynden in the 2010 British science fiction monster film, "Monsters", been featured?
Maxim
Context_1 : Cookham railway station serves the village of Cookham, Berkshire, England. Great Western Railway trains between and serve the station, as well as through services to and from London Paddington in peak hours Monday to Friday. The station has a ticket office, waiting room and toilets. Context_2 : Huntington is an Amtrak station in Huntington, West Virginia. Located at 1050 8th Avenue, the station consists of a platform on the south side of the east-west tracks, a small parking lot, and a small building in between. The station contains a waiting room and ticket office. Huntington is served by the "Cardinal" route. The one story building was constructed to a standard design that Amtrak developed in the 1970s and used at locations throughout the country for the next two decades. Typical features included at Huntington are concrete block walls, floor to ceiling windows and a black, cantilevered roof. Context_3 : Corporation Pier station was the Manchester, Sheffield and Lincolnshire Railway's booking office for their ferry service between Corporation Pier, Hull and New Holland Pier in Lincolnshire. It was not rail connected, but served as a ticket office and waiting room for the Humber Ferry. Context_4 : The Rock Island Depot is a historic railroad station located at 201 East 10th Street in Sioux Falls, South Dakota. The station opened in 1886 to serve the Burlington, Cedar Rapids and Northern Railway, a predecessor of the Rock Island. The ashlar and wood building has a Richardsonian Romanesque design with a side-facing stone gable and an octagonal turret. The interior of the station includes a waiting room, a ticket office, and the station agent's quarters. As the railroad network spread through South Dakota, Sioux Falls became the state's primary commercial and transportation hub due to its established station. The station served passenger trains through Sioux Falls until 1970. Context_5 : Pages Park railway station is a railway station serving the southern area of Leighton Buzzard. Pages Park is the terminus of the heritage narrow gauge Leighton Buzzard Light Railway. At present the station consists of two platforms, a shed and a number of temporary buildings acting as the waiting room, ticket office and cafe. There are plans to develop the station, but these can only proceed when the station site is secured. Context_6 : The Jersey City Ferry was a major ferry service that operated between Jersey City and Cortland Street in lower Manhattan for almost 200 years (1764-1949). The ferry was notable for being the first its introduction of steam power in 1812, making it the first ferry service in the world to do so. The ferry's history was closely tied to the Pennsylvania Railroad's station in Jersey City at Exchange Place, which gradually fell into disuse after the railroad opened the North River Tunnels and Penn Station in 1910. Ferry service from lower Manhattan to Jersey City continued via the even older Communipaw ferry which operated from the adjacent Liberty Street Ferry Terminal until this service was also discontinued in 1967. In 1986 ferry service was revived and today it is operated by New York Waterway. Context_7 : The Racine Depot is a historic railroad station located at 1402 Liberty Street in Racine, Wisconsin. The station was built in 1901 for the Chicago & Northwestern Railway. Architects Frost & Granger designed the Georgian Revival station. The depot, located on the southbound platform, included a waiting room, restrooms, a baggage room, and a ticket office. The waiting room's decorations included oak benches, wood paneling, and a terrazzo floor. A tunnel connected the depot to the westbound platform. Context_8 : Salford Priors railway station was a railway station located in the village of Salford Priors, Warwickshire, England. Opened on 16 June 1866 (17 September for passengers) as part of the Evesham & Redditch Railway, it had only one platform but a brick built waiting room/ticket office and station master's house. It closed on 17 September 1963, although the last train ran on 1 October 1962, after which the train service was suspended due to the poor condition of the track. A bus service replaced it while the statutory closure process was gone through. Context_9 : The Humber Ferry was a ferry service on the Humber between Kingston upon Hull and New Holland in Lincolnshire which operated until the completion of the Humber Bridge in 1981. Context_10 : The Salmo station (located in Salmo, British Columbia, Canada) was built by the Great Northern Railway (U.S.) that later become the Burlington Northern Railroad along the Nelson and Fort Sheppard Railway, a branch line extending north into Canada. The 1-story, wood-frame, railway station was completed in 1913 and consists of a waiting room, ticket office and the freight and baggage room. The station was built as part of a move by the Northern Railway to gain customers from the dominant railway in the region, the Canadian Pacific Railway. fact_1 : Corporation Pier station was the Manchester, Sheffield and Lincolnshire Railway's booking office for their ferry service between Corporation Pier, Hull and New Holland Pier in Lincolnshire. fact_2 : It was not rail connected, but served as a ticket office and waiting room for the Humber Ferry. fact_3 : The Humber Ferry was a ferry service on the Humber between Kingston upon Hull and New Holland in Lincolnshire which operated until the completion of the Humber Bridge in 1981. Question: In what year did the ferry service for which Corporation Pier station served as a ticket office and waiting room stop operating?
| 1981
| 0 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.24359561502933502,
0.15088707208633423,
-0.5709179043769836,
-0.5195802450180054,
0.2552032172679901,
-0.2572205662727356,
0.5577807426452637,
0.9642376899719238,
0.08379369229078293,
0.3065255284309387,
0.3570890426635742,
0.33761730790138245,
-0.671299397945404,
0.35971343517303467,
... |
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".
Input: Consider Input: Susan was making a cake for a party and she had an egg but didn't have milk. It was necessary to go to the store for the _ . (A) egg (B) milk
Output: B
Input: Consider Input: Erin asked Sarah for help with hanging the new bathroom mirror because _ is tall enough to reach. (A) Erin (B) Sarah
Output: B
Input: Consider Input: The cucumber from Robert's garden tastes funny to Matthew, and _ feels ashamed for mocking it. (A) Robert (B) Matthew
| Output: B
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.2565058767795563,
0.5752991437911987,
0.48621171712875366,
-0.24432705342769623,
0.20127487182617188,
-0.3218473494052887,
0.1610443890094757,
0.8394880294799805,
0.11151652038097382,
0.06377757340669632,
0.5149416923522949,
0.2874617278575897,
0.1188335120677948,
-0.5622575879096985,
... |
Detailed Instructions: Given a sentence in German, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Q: Aksuat Dendropark (russisch: Akshout Dendroparks) ist ein Naturdenkmal (Schutzgebiete des Gebiets Uljanowsk)
A: | Aksuat Dendropark (러시아어 : Akshout Dendroparks)는 자연 기념물 (Ulyanovsk Oblast의 보호 지역) | 9 | NIv2 | task802_pawsx_german_korean_translation | zs_opt | [
0.34580737352371216,
0.8129135966300964,
-0.7915335893630981,
-0.7318801879882812,
-0.9050248861312866,
-1.0403575897216797,
0.24098633229732513,
-0.02889711782336235,
0.3349837064743042,
-0.10748521983623505,
-0.10521718114614487,
0.29238781332969666,
-0.7347527742385864,
1.14842033386230... |
Teacher:In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Teacher: Now, understand the problem? Solve this instance: PersonX gives ___ a headache
Student: | me | 6 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
0.019411176443099976,
0.3228380084037781,
0.13811488449573517,
-0.8402712941169739,
-0.2523876428604126,
-0.7109799385070801,
0.9915215373039246,
0.8767083883285522,
-0.08570784330368042,
-0.5629583597183228,
-0.2315676212310791,
-0.9478539228439331,
-0.44977498054504395,
-0.36347752809524... |
Detailed Instructions: 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.
Q: Most roses grow well in the summer but not in the winter because in the _ it is too cold.
A: | winter | 9 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.030285073444247246,
0.6513872146606445,
-0.5507978200912476,
0.13676384091377258,
0.01673976518213749,
-0.9302312135696411,
-0.01762983947992325,
0.8438267111778259,
-0.22161395847797394,
-0.17521128058433533,
-0.06333969533443451,
0.20594489574432373,
-0.4632481634616852,
0.24529269337... |
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
[Q]: And I never will. You can't argue with and you can't fix ignorance.
[A]: No
[Q]: The Lefties are just gaining hold of our dear city. People seem to be striving for stupid when they vote.
[A]: Yes
[Q]: Please for the love of GOD! STOP WAKING ME UP EVERYDAY WITH YOU RUDE AS HELL DELIVERY DRIVERS DESTROYING THE PEACE AND QUIET WITH THEIR NOISY, NO EXHAUST HAVING PIECE OF SHIT, GREEN MINI-VAN WITH PLASTIC FOR A REAR WINDOW. I HAVE WRITTEN TO CUSTOMER SERVICE AND THE NOISE WENT AWAY FOR A WEEK THEN COMPLAINED AGAIN, NOTHING! CALLED AND TALKED TO JOHN AND HE SAID HE WOULD TALK TO HER BUT, HE GAVE ME A NUMBER TO CALL BECAUSE HE KNEW NOTHING WOULD GET DONE. HE WAS RIGHT! I FINALLY HAD TO CHASE THE DRIVER DOWN AND SHE SAID, "IM GETTING IT FIXED THIS WEEKEND." WELL ITS BEEN OVER A WEEK AND SHE IS BACK AND IM ABOUT TO LOSE MY MIND AS NOONE WILL DO ANYTHING ABOUT IT! please stop the noise! fix the van! fix the van! fix the van! fix the van!
[A]: | Yes
| 5 | NIv2 | task1720_civil_comments_toxicity_classification | fs_opt | [
-0.46785956621170044,
0.484886109828949,
0.43895360827445984,
0.004344032146036625,
-0.224472314119339,
-0.8798691630363464,
0.23841039836406708,
1.1903176307678223,
-0.3466629981994629,
0.27920693159103394,
-0.4558790326118469,
-0.10261107981204987,
-0.04964586719870567,
-0.40382331609725... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: یک بار، با این که میدانستم آدم توداری است،
Student: | I learnt so much from himself in an inroad I once, | 6 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.008100861683487892,
0.530328631401062,
-0.16573446989059448,
-0.7529159784317017,
-0.41248032450675964,
-0.8337652683258057,
0.5604697465896606,
0.7628993391990662,
0.22048594057559967,
0.18453916907310486,
-0.12053773552179337,
0.19237467646598816,
-0.4685347378253937,
-0.64343065023422... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un bărbat pune brânză mărunțită pe o pizza.
Solution: A man is spreading shreded cheese on a pizza.
Why? In the given translation process, the tense of both sentences, quantitative measures, entity name, the polarity of the sentence remains the same.
New input: Diferența fundamentală, vă rog?
Solution: | Fundimental difference, please? | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.4801750183105469,
0.4792803227901459,
0.939995527267456,
-0.24231871962547302,
-0.0006689421134069562,
0.33567774295806885,
1.321615219116211,
0.5310063362121582,
0.8406893014907837,
-0.42741847038269043,
-0.09941430389881134,
0.6443304419517517,
-0.5738398432731628,
0.1774449646472931,... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: Anh thật ngu ngốc khi tìm thấy âm nhạc trong đài phát thanh.
[A]: Bạn sẽ tìm thấy âm nhạc trong đài phát thanh.
[Q]: Bí quyết là soi gương.
[A]: Chìa khóa là để mở ra một nguyên tắc.
[Q]: Nếu anh muốn chống lại bồi thẩm đoàn thì anh nên trở thành luật sư.
[A]: | Nếu ngài thắng để chống lại bồi thẩm đoàn thì ngài nên trở thành một vị vua.
| 5 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.08034411072731018,
0.6125854253768921,
-0.061798520386219025,
-0.17329594492912292,
-0.06496874243021011,
-0.7635541558265686,
0.6717478036880493,
1.312709093093872,
0.12593398988246918,
0.06319277733564377,
-0.6575337052345276,
-0.2850293517112732,
-0.4439651370048523,
0.115915238857269... |
Part 1. Definition
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Part 2. Example
এক্ষেত্রে প্রদেয় সুদের হারকে সুলভ ও স্থায়ী করে তুলতে হবে।
Answer: ഈ സാഹചര്യത്തിൽ, പണമടച്ചുള്ള പലിശ നിരക്ക് വിലകുറഞ്ഞതും സ്ഥിരവുമാണ്.
Explanation: Correct translation for given sentence. Input sentence means 'In this case, the rate of interest paid will be cheap and permanent.' which is the same as the output sentence.
Part 3. Exercise
আমি আপনাদের সঙ্গে আমাদের সরকার নতুন ভারত গড়তে কিভাবে কাজ করছে তার একটা উদাহরণ দিই।
Answer: | നവ ഇന്ത്യ സൃഷ്ടിക്കുന്നതിന് ഗവണ്മെന്റ് എങ്ങനെ സമഗ്രമായി പ്രവര്ത്തിക്കുന്നുവെന്നതിന്റെ ഒരു ഉദാഹരണം നിങ്ങളുമായി പങ്കുവയ്ക്കാന് ഞാന് ആഗ്രഹിക്കുകയാണ്. | 7 | NIv2 | task1003_pib_translation_bengali_malayalam | fs_opt | [
-0.8021752834320068,
0.6889573335647583,
0.030724477022886276,
-0.5859600901603699,
-0.3763076066970825,
-0.09551331400871277,
1.1506800651550293,
0.6298468112945557,
0.14872518181800842,
-0.09443247318267822,
-1.2520824670791626,
-0.18263816833496094,
-0.6979910731315613,
0.25918406248092... |
Detailed Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Problem:claim: Compensation should be paid for those who have had their culture appropriated.
perspective: No feasible system of which grounds of compensation can occur because of the fluidity of culture and cultural identity
Solution: | undermine | 8 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.6120070815086365,
0.9134833812713623,
0.273409903049469,
-0.09417931735515594,
-0.19647935032844543,
-0.16316361725330353,
0.8568877577781677,
0.4236670136451721,
0.4191632866859436,
-0.700880765914917,
0.3501816987991333,
-0.6406865119934082,
-0.3854091763496399,
0.7576152086257935,
... |
Definition: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Input: Tom ordered bacon, and Dick lettuce, and Harry tomatoes.
Output: | 1 | 2 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.4890645444393158,
0.2536362409591675,
0.00855887308716774,
0.29487431049346924,
0.37433239817619324,
-1.0520339012145996,
0.1149686798453331,
-0.2101413756608963,
0.2775862514972687,
-0.0015614933799952269,
-0.7119889855384827,
-0.1720130443572998,
-0.636472225189209,
-0.4623488485813141... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['9281', 'n', 'u', '8247', '8935', 'E', '5295', 'j', '9199']
Output: | 4 | 1 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.3488715589046478,
0.44879060983657837,
-0.05636642128229141,
-0.1030346006155014,
0.3393423557281494,
-0.3333326578140259,
0.4668017029762268,
-0.13079074025154114,
-0.5689053535461426,
0.7373939156532288,
-0.40274935960769653,
0.338845819234848,
0.07385830581188202,
-0.4485745429992676... |
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.
Ex Input:
I_WALK I_WALK I_WALK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN
Ex Output:
run right thrice after walk thrice
Ex Input:
I_WALK I_WALK I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP
Ex Output:
walk twice and jump right thrice
Ex Input:
I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_RUN
Ex Output:
| run left after turn opposite left twice
| 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.2609310746192932,
0.7394907474517822,
-0.6380990743637085,
0.30240678787231445,
-0.17423373460769653,
0.24006329476833344,
0.025350481271743774,
0.4928876757621765,
-0.23143282532691956,
-0.16785472631454468,
-0.7587662935256958,
-0.2832670211791992,
-0.6150018572807312,
-0.1199320852756... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Context: So everyone , in mid run , turns to the side and kind of ninja runs in the circle . I am good at this - it is n't hard , but I noticed some people keeping their feet closer to the mat than I , and so I kept my step low to follow suit . I failed . I tripped over my own foot and stumble for a good five or ten seconds to regain my balance since I was bent over running with my arms flailing .
Question: What kind of injuries would be sustained ?
Correct Answer: Bruises. | Fractured rib. | 0 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.5961885452270508,
1.227161169052124,
-0.5713233947753906,
0.9080474376678467,
-0.29905951023101807,
-0.47660866379737854,
0.6390048265457153,
0.8530222177505493,
-0.19709420204162598,
-0.7212997674942017,
-0.6703141927719116,
0.20560193061828613,
-0.6990227699279785,
0.25176939368247986,... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: - Rapport Hökmark, English: - Hökmark report | yes | 0 | NIv2 | task273_europarl_classification | zs_opt | [
-0.3311728239059448,
0.624087393283844,
0.5107424259185791,
0.19269531965255737,
0.3255440592765808,
-0.6159723997116089,
0.6336269974708557,
-0.2109539657831192,
0.7965679168701172,
-0.5825142860412598,
-0.5347423553466797,
0.7677680253982544,
-0.5493340492248535,
0.5624711513519287,
1.... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Example: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
Example solution: 3
Example explanation: The word 'a' is the only word that starts with 'a'. This sentence has 3 occurrences of the word 'a'. So, the answer is 3.
Problem: Sentence: 'a stop sign and a no stopping sign are on a street corner'. How many words start with the letter 's' in the sentence.
| Solution: 5 | 5 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.16439472138881683,
0.3565843999385834,
-0.015318100340664387,
-0.40979212522506714,
-0.32989633083343506,
0.052795618772506714,
0.15151481330394745,
0.302631139755249,
0.45550796389579773,
-1.1026935577392578,
-0.2705281376838684,
-0.1063009575009346,
-0.012308836914598942,
-0.2249746620... |
Given a sentence in French, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Le réseau utilisait auparavant un traducteur à Waterbury, W12BH (canal 12), qui répétait directement WEDY. | Das Netzwerk betrieb zuvor einen Übersetzer in Waterbury, W12BH (Channel 12), der WEDY direkt wiederholte. | 0 | NIv2 | task792_pawsx_french_german_translation | zs_opt | [
-0.4615376889705658,
0.832724392414093,
0.13773763179779053,
-0.7609408497810364,
0.05879581719636917,
0.18236565589904785,
0.9497336149215698,
0.4006635248661041,
0.16389304399490356,
-0.5950430631637573,
-0.28976404666900635,
0.08079497516155243,
-0.6443615555763245,
0.6110190749168396,
... |
Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
Input: I've never seen you ate asparagus.
Output: | unacceptable | 3 | NIv2 | task616_cola_classification | zs_opt | [
-0.6012924909591675,
0.499267041683197,
0.8078316450119019,
-0.23861801624298096,
0.10779014229774475,
-1.1370915174484253,
0.5895066261291504,
0.37757939100265503,
0.36912667751312256,
0.26225465536117554,
-0.4622407555580139,
-0.6922304630279541,
-0.2842743992805481,
-0.1149761825799942,... |
You will be given a definition of a task first, then some input of the task.
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
PersonX gives PersonY's orders
Output: | contented | 1 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.15960590541362762,
0.3064354360103607,
-0.11180450022220612,
-0.209468811750412,
-0.06041274964809418,
-0.5667398571968079,
0.9303455352783203,
0.6859372854232788,
0.3118884265422821,
-0.18805575370788574,
-0.1616007387638092,
-0.3072587549686432,
-0.5310287475585938,
0.3037086725234985... |
instruction:
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
question:
rubber_duck is made of plastic
answer:
rubber_duck MadeOf plastic
question:
adventure can be used as the opposite of lazy
answer:
adventure Antonym lazy
question:
boy can be used as the opposite of female
answer:
| boy Antonym female
| 9 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
-0.07813715189695358,
0.820923388004303,
0.13448740541934967,
-0.7055221796035767,
-0.5617672801017761,
-0.45234495401382446,
0.2411317527294159,
0.05275991931557655,
0.05011740326881409,
-0.3634360730648041,
-0.7555566430091858,
0.2209480255842209,
-0.6315321922302246,
-0.1404464691877365... |
Detailed Instructions: In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only. Input sentences must only have one language at a time.
Problem:ਤੁਹਾਡੀ ਜਾਣਕਾਰੀ ਵਿੱਚ ਜ਼ਰੂਰ ਹੋਵੇਗਾ ਕਿ ਹਾਲ ਹੀ ਵਿੱਚ ਭਾਰਤ ਨੇ ਦੁਨੀਆ ਦੇ top 5 Fin Tech countries ਵਿੱਚ ਵੀ ਥਾਂ ਬਣਾ ਲਈ ਹੈ।
Solution: | Punjabi | 8 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.5869466066360474,
0.9955284595489502,
0.4314413070678711,
-0.4546961784362793,
0.0640208050608635,
-0.5045995712280273,
0.03210136294364929,
0.3319467306137085,
-0.09517696499824524,
0.09118164330720901,
-0.5402549505233765,
-0.46777114272117615,
-0.017747260630130768,
0.077290982007980... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
Example: customer: Hello.
agent: Hello. How may I help you?
customer: I would like to do some changes in my existing reservation, can you please help me out?
agent: Sure, I will help you in booking. May I know your name to proceed further?
__
agent: Alexander Hernandez, regret to inform that there is no active reservation found under your name to amend.
customer: That's ok, no problem. Thank you for the information.
agent: Thank you for reaching us.
Example solution: customer: Sure, myself Alexander Hernandez.
Example explanation: This is pretty forward, based on the answer after the blank, the answer would be to know the name of the person, and the name is mentioned in the next dialogue to the blank
Problem: customer: Hello.
agent: Hello, how can I support you today?
customer: Please help me in booking flight ticket from IAH to MSP.
agent: Sure, I am glad to help you. May I know your name please?
customer: Nicole Scott here.
__
customer: My trip dates are June 05 to June 07.
agent: Do you prefer a connected flight or a direct flight?
customer: I prefer to travel in connecting flight.
agent: Is there any other concerns?
customer: No.
agent: Sorry to say that, no flights are found based on your information.
customer: Ok, no problem. Thank you.
agent: Thank you for choosing us.
| Solution: agent: Ok, let me know your planned dates. | 5 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
-0.006147671956568956,
0.14382465183734894,
-0.3747897744178772,
-0.7819693088531494,
0.38679879903793335,
-0.27875638008117676,
1.7948381900787354,
-0.10184040665626526,
-0.45335280895233154,
0.08579765260219574,
-0.022862277925014496,
-0.5170333385467529,
-0.7424211502075195,
0.628969430... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
[EX Q]: People need to understand that if they commit fraud they will be prosecuted, and that is not the case at the moment.
[EX A]: English
[EX Q]: I det nya programmet för perioden 2000-2006, som finansieras av Europeiska socialfonden, bör man, även med kommissionens stöd, utnyttja alla nödvändiga resurser och politiska åtgärder för att förverkliga de mål jag tidigare nämnde.
[EX A]: Swedish
[EX Q]: Mr President, Torrey Canyon, Olympic Bravery, Haven, Amoco Cadiz, Gino, Tanio, so many names we remember with horror.
[EX A]: | English
| 6 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
0.12848344445228577,
0.41390931606292725,
0.6367206573486328,
-0.08021843433380127,
0.44205242395401,
-0.2535586357116699,
0.4303508996963501,
0.5491045713424683,
-0.056708648800849915,
-0.20862704515457153,
-0.767798125743866,
-0.04204852879047394,
-0.4626893699169159,
-0.6317877769470215... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with one of the following responses: "A", "B", "C", "D" or "E". While "A"-"D" correspond to the answer options provided in the input, "E" represents "I don't know" for questions that do not provide enough information. Respond via "E" if the question is not answerable. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'.
Question: Which *** best shows *** that make up the *** *** in the *** ***? (A) heart, blood, vessels (B) nose, trachea, lungs (C) brain, spinal cord, nerves (D) esophagus, stomach, intestine.
Output: | E. | 1 | NIv2 | task043_essential_terms_answering_incomplete_questions | zs_opt | [
1.137668490409851,
0.24715527892112732,
0.12328360974788666,
-0.3398239016532898,
-0.06486539542675018,
-0.4289804697036743,
0.6686584949493408,
0.014799140393733978,
-0.37909966707229614,
-0.18572473526000977,
0.055467672646045685,
-0.6006065607070923,
-0.3549993336200714,
0.0408573783934... |
Q: 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.
Sentence: 'a desk with a laptop computer mounted to it'. Count the number of consonants in the given sentence.
A: | 21 | 7 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.5785467624664307,
0.7481000423431396,
-1.1178778409957886,
-0.5663773417472839,
0.09389220178127289,
0.21591773629188538,
-0.30840998888015747,
0.6985568404197693,
0.5522512197494507,
-0.3865211009979248,
0.003990745171904564,
0.0516216978430748,
-0.04849129170179367,
-0.3162156343460083... |
Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Вот здесь и нужны правила, ограничивающие срок пребывания у власти, наподобие двадцать второй поправки к Конституции Соединенных Штатов. Многие конституции содержат такое правило, и даже президент России Владимир Путин заявил, что он будет его соблюдать.
Russian
Después me distraje durante aproximadamente 40 años.
Spanish
WASHINGTON, DC – The negotiations to create a Transatlantic Trade and Investment Partnership between the European Union and the United States are being widely welcomed.
| English
| 0 | NIv2 | task1370_newscomm_classification | fs_opt | [
-0.36364302039146423,
0.5648286938667297,
0.7870752215385437,
0.1300722062587738,
0.450986385345459,
-0.02934899553656578,
0.22188961505889893,
0.9528893828392029,
0.3130379319190979,
0.07394207268953323,
0.07668066024780273,
0.03757035732269287,
-0.6360548734664917,
-0.2502005100250244,
... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
वे कहते हैं कि "पक्षपात" ने लाइन के आसपास "व्यापक नकारात्मक प्रचार" को बढ़ा दिया है, क्योंकि नकारात्मक आरोपों को अक्सर समाचार पत्रों में प्रकाशित किया जाता है।
They say "prejudgment" has increased the "pervasive negative publicity" surrounding the line, since negative accusations are most often published in newspapers.
टच जजों ने स्थिति को नियंत्रित करने की कोशिश की।
Touch judges rushed in to try to control the situation.
2006 की पहली बैठक के लिए ऑस्ट्रेलियाई सरकार की परिषद (COAG) आज कैनबरा में बैठक करेगी।
| The Council of Australian Governments (COAG) will meet in Canberra today for its first meeting of 2006.
| 0 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.6849101185798645,
0.047619763761758804,
0.3907291293144226,
-0.23725786805152893,
0.142220601439476,
-0.06962579488754272,
0.21117347478866577,
0.17393025755882263,
-0.5463324785232544,
-0.2788957953453064,
-0.9824730157852173,
0.3131370544433594,
-0.24153482913970947,
0.058680035173892... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun phrase. The capital 'I' denotes all following words of the same noun phrase. If a word is not a part of a proper noun phrase, do not label it.
It has manufacturing plants in San Diego ; Creedmoor , N.C. ; Hampshire , England ; and Tijuana , Mexico , and distributes its prodcuts in more than 120 countries .
Solution: It has manufacturing plants in San <B-LOC> Diego <I-LOC> ; Creedmoor <B-LOC> , N.C. <B-LOC> ; Hampshire <B-LOC> , England <B-LOC> ; and Tijuana <B-LOC> , Mexico <B-LOC> , and distributes its prodcuts in more than 120 countries .
Why? This is how the labeling should be. San Diego is the name of a location. In addition, it cannot be separated and is represented by two words. Therefore the labeling is San <B-LOC> Diego <I-LOC>. For the other locations mentioned in this sentence, they are single word locations and are represented with the label <B-LOC>.
New input: EU rejects German call to boycott British lamb .
Solution: | EU <B-ORG> rejects German <B-MISC> call to boycott British <B-MISC> lamb . | 0 | NIv2 | task610_conllpp_ner | fs_opt | [
0.22689953446388245,
-0.3132144808769226,
0.09711974114179611,
0.8311164379119873,
0.234134703874588,
-0.18799564242362976,
-0.05312511324882507,
0.9053890109062195,
-0.7193872928619385,
0.3627707064151764,
-0.22008875012397766,
0.18662762641906738,
-0.2127971053123474,
0.6861246228218079,... |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
On 28 May 2011 , a leadership was chosen to replace Dennis Fentie , Darrell Pasloski was elected after only one ballot .
On May 28 , 2011 , a leadership election was held to replace Dennis Fentie . Darrell Pasloski was chosen after only one ballot .
| Paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.6406203508377075,
0.5003945827484131,
0.16152364015579224,
-0.1737755984067917,
-0.30845242738723755,
-0.1756153106689453,
1.3365819454193115,
-0.5530865788459778,
-0.08907259255647659,
0.17314226925373077,
-0.2771022915840149,
0.5382295250892639,
-0.7212995886802673,
0.3743516802787781... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. 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 arrives home<sep>Tail: satisfied
Solution: Yes
Explanation: This is a good example. As a result of the Head, PersonX will feels satisfied.
Problem: Head: PersonX asks ___ for one<sep>Tail: to make a friend
Solution: | No | 4 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.39307901263237,
-0.03743986785411835,
0.22516275942325592,
-0.048360250890254974,
-0.16432404518127441,
-0.8565919995307922,
1.0999784469604492,
0.9243696928024292,
-0.7737889885902405,
-0.20418649911880493,
-0.3771211504936218,
0.010715425945818424,
-0.935634195804596,
-0.02537317201495... |
In this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specified by the category. If the category is specified as entailment, then the output sentence must clearly agree with the input sentence. If the category specified is contradiction , then the output sentence must clearly disagree with the input sentence.
[Q]: sentence_A: A boy under an umbrella is being held by his father who is wearing a coat dyed in blue. category: entailment
[A]: A boy under an umbrella is being held by his father who is wearing a blue coat
[Q]: sentence_A: A cat is playing with a watermelon. category: contradiction
[A]: The cat isn't playing with a watermelon
[Q]: sentence_A: An egg is being cracked into a bowl by a woman. category: entailment
[A]: | A woman is cracking an egg into a bowl
| 5 | NIv2 | task1613_sick_given_category_generate_sentence | fs_opt | [
-0.23339566588401794,
0.6536376476287842,
-0.0160731952637434,
-0.4143010973930359,
-0.3165552020072937,
-0.4976402521133423,
-0.1024133712053299,
0.665339469909668,
-0.06669993698596954,
-0.5819535255432129,
-0.5564670562744141,
-0.09655635058879852,
-0.3025878071784973,
0.336772233247756... |
Detailed Instructions: In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it. The "no sentiment expressed" label should be assigned to the reviews where the given aspect didn't discuss in the text.
Problem:تیتراژ فوق العاده ولی فیلم راضیم نکرد.<sep>Question: نظر شما به صورت کلی در مورد فیلم برف چیست؟
Solution: | negative | 8 | NIv2 | task525_parsinlu_movie_aspect_classification | zs_opt | [
-0.9111414551734924,
0.06154172867536545,
0.03439858928322792,
-0.03146345168352127,
-0.024447515606880188,
0.3403562009334564,
1.2680383920669556,
0.35313528776168823,
0.6765883564949036,
-0.27172911167144775,
0.036370549350976944,
-0.24149146676063538,
-0.8056361079216003,
0.773920357227... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
One example is below.
Q: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
A: Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Rationale: The translation is precise, fluent and formal
Q: అరెరే.
A: | Oh no. | 9 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.13013270497322083,
1.2200053930282593,
0.6210743188858032,
0.21814987063407898,
0.029756050556898117,
-1.2982168197631836,
-0.13257192075252533,
0.11049487441778183,
-0.7471771836280823,
-0.3846617341041565,
-0.39958369731903076,
-0.18445813655853271,
-0.6935112476348877,
-0.22432594001... |
instruction:
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
question:
On 3 August, the ex-king made the shock announcement that he was leaving Spain amid a corruption investigation. The 82-year-old travelled to the UAE on 3 August "and he remains there", a spokesman said, giving no more details. The ex-king's finances are under scrutiny in a major corruption probe. He denies any wrongdoing and has said he is available if prosecutors need to interview him. Earlier this month, he announced the move in a letter to his son, Felipe, to whom he handed the throne six years ago. He said at the time was making the decision "in the face of the public repercussions that certain past events in my private life are generating" and in the hope of allowing his son to carry out his functions as king with "tranquillity". It was first reported that he had travelled to the Dominican Republic, but Spanish media later said he had arrived in Abu Dhabi, the capital of the UAE. However until now, neither the palace nor the government had confirmed his whereabouts. The former king is said to have travelled to the UAE on several occasions since his abdication in 2014. He is reported to be close to a number of key figures including the UAE's de facto leader, Abu Dhabi Crown Prince Mohammed bin Zayed al Nahyan Why did Juan Carlos leave? Juan Carlos abdicated in 2014 after close to 40 years in power and handed power to his son Felipe. His decision to give up the throne came after a corruption investigation involving his daughter's husband and a controversial elephant hunting trip the monarch took during Spain's financial crisis. The controversies however did not stop there. In June this year, Spain's Supreme Court launched an investigation into Juan Carlos's alleged involvement in a high-speed rail contract in Saudi Arabia, after the ex-king lost his immunity from prosecution following his abdication. Juan Carlos played a pivotal role in Spain's transition to democracy after Gen Francisco Franco's death in 1975, but his popularity and his health declined in the final years of his reign, leading him to pass the baton to his son.
answer:
Juan Carlos: Spain's former king confirmed to be in UAE
question:
The amateur photographs are among the few records of excavations at Sutton Hoo in 1939, the National Trust said. School mistresses Mercie Lack and Barbara Wagstaff took pictures as archaeologists studied the construction of an Anglo-Saxon burial ship. Their photographs are now on show at the Sutton Hoo visitor centre. It said it believes Ms Lack and Ms Wagstaff were tipped off by an archaeologist and arrived on site shortly after a helmet, gold jewellery and other treasured possessions had been removed. The impending outbreak of war meant the keen amateur photographers captured a phase of the excavation that received little public attention. Royal visitors During their time at the site, archaeologists were looking into the ship, now thought to be used to bury Anglo Saxon King Raedwald, who was laid to rest with the artefacts already found. The National Trust said the photographs showed archaeologist Basil Brown, who made the discovery, and visitors including Princess Marie Louise, the granddaughter of Queen Victoria. The collection also includes some of the earliest colour images from an archaeological site, which have allowed experts to gain further insight into the painstaking nature of the excavation, the National Trust added. Until now, the majority of the prints have been kept in storage to conserve the collection and only a handful has previously been seen before, published in books. Angus Wainwright, the National Trust's regional archaeologist, said: "These photographs are important not only for the light they shed on the excavations, but as a historic collection in its own right. The fact that there were only a few British women photographers around at that time makes the collection even more special. "We hope that this exhibition will help us unearth more about the ladies behind the camera, as well as trace the individual who kindly donated this amazing collection to Sutton Hoo."
answer:
Sutton Hoo dig holiday 'snaps' on display in Suffolk
question:
By Brian MilliganPersonal Finance reporter The rise in the pension age to 68 will now be phased in between 2037 and 2039, rather than from 2044 as was originally proposed. Those affected are currently between the ages of 39 and 47. The announcement was made in the Commons by the Secretary of State for Work and Pensions, David Gauke. He said the government had decided to accept the recommendations of the Cridland report, which proposed the change. "As life expectancy continues to rise and the number of people in receipt of state pension increases, we need to ensure that we have a fair and sustainable system that is reflective of modern life and protected for future generations," he told MPs. Anyone younger than 39 will have to wait for future announcements to learn what their precise pension age will be. 'Cocktail of ill health' The change will affect those born between 6 April 1970 and 5 April 1978. The government said the new rules would save the taxpayer £74bn by 2045/46. While it had been due to spend 6.5% of GDP on the state pension by 2039/40, this change will reduce that figure to 6.1% of GDP. Labour said the move was "astonishing", given recent reports suggesting increases in life expectancy were beginning to stall, and long-standing health inequalities between different income groups and regions in retirement. State pension calculator - check your age and entitlement Shadow work and pensions secretary Debbie Abrahams told MPs that many men and women were beginning to suffer ill health in the early 60s, well before they were entitled to their state pension. "Most pensioners will now spend their retirement battling a toxic cocktail of ill-health," she said. "The government talks about making Britain fairer but their pensions policy, whether it is the injustice that 1950s-born women are facing, or today's proposals, is anything but fair." TUC general secretary Frances O'Grady said the government risked creating "second-class citizens". "In large parts of the country, the state pension age will be higher than healthy life expectancy," she said. "And low-paid workers at risk of insecurity in their working lives will now face greater insecurity in old age too. "Rather than hiking the pension age, the government must do more for older workers who want to keep working and paying taxes." Age UK was also critical of the change. "In bringing forward a rise in the state pension age by seven years, the government is picking the pockets of everyone in their late forties and younger, despite there being no objective case in Age UK's view to support it at this point in time," said Caroline Abrahams, charity director at Age UK. "Indeed, it is astonishing that this is being announced the day after new authoritative research suggested that the long term improvement in life expectancy is stalling." Pensions Commission The government has also committed to regular reviews of the state pension age in the years ahead. That raises the prospect of further rises. Indeed a report by the government's actuary department in March suggested that workers now under the age of 30 may have to wait until 70 before they qualify for a state pension. Tom McPhail, head of policy at Hargreaves Lansdown, said the government would need to do more to encourage saving, particularly amongst younger people. "For anyone yet to reach age 47, there is still time to adjust their retirement plans by looking to contribute more," he said. "We feel it is important the government meets them halfway; we need a national savings strategy to help people save and invest for their future. A good starting point would be for the government to look at a savings commission." The SNP said it remained opposed to raising the pension age beyond 66 and reiterated its call for an independent pensions commission to be set up to look at "demographic differences across the UK". In response, Mr Gauke said the Scottish government would have the power to provide extra financial help for those approaching retirement if they so chose. "This announcement will be a blow to many people. It is absolutely crucial that everyone - no matter what their age - seeks pensions advice from a reputable organisation and really understands their options and how those options fit in with their own retirement expectations. "I know young people don't think this really impacts them as it is such a long way off, but they are the ones who will be impacted by state pension ages and support in the longer term more than any of us," said Carl Robertson, from Smart Pension.
answer:
| State pension age rise brought forward
| 9 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.4660359025001526,
0.13333547115325928,
-0.5833684206008911,
-0.7191793322563171,
0.8492546081542969,
0.1604222059249878,
0.3303319811820984,
1.3859699964523315,
-0.6533033847808838,
0.3395214378833771,
0.5546189546585083,
0.9360689520835876,
-0.8216942548751831,
0.43982356786727905,
-0... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: I would prefer the government just stay out of health care they are parasites who ruin everything they touch they can't handle simple task like budgeting their finances like everyone else has to. The only people the Aca helps are other parasites like the drunkards the drug addicted the lazy and the obese. I don't want the government meddling in my health care an I don't want to pay for people who won't take care of there bodies. The government improves nothing but their own lifestyle
Output: | Non-threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.1526041179895401,
0.8065731525421143,
0.33017805218696594,
-0.4303874373435974,
0.06644804775714874,
-0.4871620237827301,
1.2543277740478516,
0.8537671566009521,
0.3321484923362732,
0.172090083360672,
-0.17500650882720947,
0.31323161721229553,
-0.5708392262458801,
-0.6010797023773193,
... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
question:
['s', '6877', '6201', '9157', 'm', '8343', 'I', 'i', '4721', '7129', 'B', 'L', 'u', '8171']
answer:
2, 3, 4, 6, 9, 10, 14
question:
['x', '1221', '9593', 'u', 'H', '1361', '3175', 'B', '9021', '5037', 'n', 'Q', 'H', 'm', '8161', '2529', 'B']
answer:
2, 3, 6, 7, 9, 10, 15, 16
question:
['4993', '6117', 'C', '9763', 'z', '4059', 'g', '7149', 'R', '1743', 'q', 'i', '93', '6017', '6137', '5333', '1643', '4839', 'I', 'U', '9983', 'b', '1373', 'g', 'u', 'u', '9523', '7209', 'I', 'P', 'Z', 't', 'F', '765', '8061']
answer:
| 1, 2, 4, 6, 8, 10, 13, 14, 15, 16, 17, 18, 21, 23, 27, 28, 34, 35
| 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.2881534695625305,
-0.2108491063117981,
-0.5351349115371704,
-0.7953776717185974,
-0.2538151144981384,
-0.5075110197067261,
0.6107099056243896,
0.6467835903167725,
-0.574332594871521,
0.3170650899410248,
-0.4062713384628296,
0.09344787895679474,
-0.07411053031682968,
-0.06132270768284798... |
Teacher:A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: I just came back from a visit to Bahrain.
Student: | ഒരു ബഹറിന് സന്ദര്ശനം കഴിഞ്ഞ് ഞാന് ഇപ്പോള് തിരിച്ചുവന്നിട്ടേയുള്ളു. | 6 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
0.3421913683414459,
0.4343414306640625,
0.0785522535443306,
-0.7656257152557373,
-0.30380910634994507,
-0.5073589086532593,
0.8213041424751282,
0.25325334072113037,
-0.4348231852054596,
0.03256179764866829,
-0.26857754588127136,
0.4348785877227783,
-0.9509647488594055,
-0.3644693195819855,... |
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.
Example Input: आप एक पंक्ति में शौचालय सीट खोजने के लिए हो सकता है.
Example Output: शायद आपको बाथरूम में एक शौचालय सीट मिल जाए ।
Example Input: हुकूमत की धारणा यह है कि आप अपनी आज़ादी खो देते हैं।
Example Output: सेना में शामिल होने का प्रभाव है कि आप व्यक्तिगत स्वतंत्रता खो देते हैं ।
Example Input: आप एक बाल सूखार इस्तेमाल कर सकते हैं अपने bake की शैली करने के लिए.
Example Output: | आप अपने बालों को कम करने के लिए एक बाल सूखार इस्तेमाल कर सकते हैं.
| 3 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.05135899782180786,
0.23459956049919128,
0.03938236087560654,
-0.049879416823387146,
0.25637227296829224,
-0.9668200016021729,
0.38825973868370056,
0.8813583850860596,
-0.23541656136512756,
-0.028647538274526596,
-1.0491719245910645,
-0.36791372299194336,
0.08200216293334961,
-0.01392893... |
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'.
Let me give you an example: twotwoonesixzeronine
The answer to this example can be: 221609
Here is why: 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.
OK. solve this:
eighttwothreeonefiveeightnine
Answer: | 8231589 | 8 | NIv2 | task1443_string_to_number | fs_opt | [
-0.5432155728340149,
0.708103597164154,
-0.5936533212661743,
-0.9119260311126709,
-0.3793075680732727,
-0.5846947431564331,
0.8492112159729004,
0.08086549490690231,
-0.18932268023490906,
-0.1323758214712143,
-0.8971208333969116,
0.22505734860897064,
-1.2726659774780273,
-0.1741341799497604... |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
Q: customer: Hello.
agent: Hello.
customer: My name is Shirley Phillips.
agent: How can I help you today?
customer: Owing an emergency, I want to cancel my reservation. Can you help me for that?
__
customer: Thank you.
agent: Sorry, no reservation found on your name to cancel your reservation.
customer: That's ok, thank you for checking.
agent: Thank you for reaching us, have a nice day.
A: | agent: Sure, I am here to help you with that. | 9 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.6748703718185425,
0.3974274694919586,
0.07751692831516266,
-0.8576187491416931,
0.354584276676178,
-0.32953891158103943,
1.146620512008667,
-0.5042374730110168,
-0.10732526332139969,
-0.06464122235774994,
0.2268148809671402,
-0.5154160261154175,
-0.7646300792694092,
0.37596142292022705,... |
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 want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. 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.
Input: Head: PersonX is playing with PersonY's friends<sep>Tail: Plays till it gets dark.
Output: | Yes | 3 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.04079122841358185,
0.4982297420501709,
0.09816261380910873,
-0.13683095574378967,
-0.6832568645477295,
-0.7791340947151184,
1.631824016571045,
-0.07740047574043274,
-0.6751877665519714,
-0.5447879433631897,
-0.09419375658035278,
-0.4068218469619751,
-0.7023321986198425,
0.168439835309982... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ਅਮੀਯਾਹ ਸਕੌਟ ਅਸਲ ਵਿੱਚ 11 ਜਨਵਰੀ 1988 ਨੂੰ <MASK> ਸ਼ਹਿਰ ਵਿੱਚ ਇੱਕ ਵੱਖਰੇ ਨਾਮ ਨਾਲ ਪੈਦਾ ਹੋਈ ਸੀ। ਹਾਲਾਂਕਿ ਉਸਦਾ ਪਾਲਣ ਪੋਸ਼ਣ ਲੂਈਜ਼ੀਆਨਾ ਨਿਊ ਓਰਲੀਨਜ਼ ਸ਼ਹਿਰ ਵਿੱਚ ਹੋਇਆ ਸੀ।
Option A: ਜਾਰਜੀਆ
Option B: ਮੈਨਹੈਟਨ
Option C: Lebanon
Option D: ਲੂਈਜ਼ੀਆਨਾ
Solution: ਮੈਨਹੈਟਨ
Why? Amiyah Scott was born in Manhattan, the most suitable word to replace <MASK> token from the options is ਮੈਨਹੈਟਨ .
New input: Statement: ਜ਼ਿਆਦਾਤਰ ਆਸਟਰੇਲਿਆਈ, ਬ੍ਰਿਟਿਸ਼, ਕੈਨੇਡੀਅਨ ਅਤੇ ਨਿਊਜ਼ੀਲੈਂਡ ਅਕਾਦਮਿਕ ਸੰਸਥਾਵਾਂ ਦੁਆਰਾ <MASK> ਵਿੱਚ 3,000 ਤੋਂ ਵੱਧ ਅਕਾਦਮਿਕ ਸੰਸਥਾਵਾਂ ਦੁਆਰਾ, ਅਤੇ ਦੁਨੀਆ ਭਰ ਵਿੱਚ ਵੱਖ-ਵੱਖ ਪੇਸ਼ੇਵਰ ਸੰਸਥਾਵਾਂ ਦੁਆਰਾ ਆਈਲੈਟਸ ਨੂੰ ਸਵੀਕਾਰ ਕੀਤਾ ਜਾਂਦਾ ਹੈ।
Option A: ਯੂਕੇ
Option B: ਯੂ.ਐਸ.ਏ.
Option C: ਆਸਟ੍ਰੇਲੀਆ
Option D: ਕੈਨੇਡਾ
Solution: | ਯੂ.ਐਸ.ਏ. | 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.7241740226745605,
0.444041907787323,
0.3363417685031891,
-0.737826943397522,
0.16816559433937073,
-0.47737690806388855,
-0.427090585231781,
0.24199512600898743,
0.4825090169906616,
0.28479984402656555,
0.18439000844955444,
0.3929218649864197,
-0.9639525413513184,
-0.6332733631134033,
0... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Let me give you an example: Ok, the national drink of Scotland is whisky.
The answer to this example can be: assistant
Here is why: It is pretty straightforward. It is knowledge sharing, and the assistant explains the question asked by the user.
OK. solve this:
Oh. now I get it! I thought Australia is just being generous. Ha! Thank you for sharing that information really interesting. Do you have information about their Population?
Answer: | user | 8 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.048257868736982346,
0.670532763004303,
-0.3619968891143799,
-0.6925100088119507,
-0.4255526065826416,
-0.11152738332748413,
1.4950246810913086,
-0.6486716270446777,
1.022051453590393,
-0.4366569221019745,
-0.09809458255767822,
0.01132996380329132,
-0.23429568111896515,
0.348918646574020... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. 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.
Q: Head: PersonX lays PersonY's ___ upon<sep>Tail: in charge
A: | Yes | 4 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.20824551582336426,
0.3771764039993286,
0.5750231742858887,
-0.5265272259712219,
-0.37032485008239746,
-1.1526463031768799,
1.3217990398406982,
0.5869040489196777,
-0.4550504684448242,
-0.6070572137832642,
-0.44691312313079834,
-0.05034741759300232,
-0.7593903541564941,
0.5621689558029175... |
A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
गेल्या चार वर्षांत सूक्ष्म, लघु आणि मध्यम उद्योगांना म्हणजेच एमएसएमईला, प्रोत्साहन देण्यासाठी, त्यांना मजबूत करण्यासाठी अनेक पावले उचलण्यात आली आहेत. | எதிர்காலத்தில் புதிய மருத்துவமனைகள், மருத்துவக் கல்லூரிகள், துணை மருத்துவ மனிதவள மேம்பாட்டு நிலையங்கள் தொடங்கப்படும். இதன் மூலம் துணை மருத்துவக் கட்டமைப்பு டயர்-2, டயர்-3 நகரங்களில் வலுப்படுத்தப்படும். | 0 | NIv2 | task1083_pib_translation_marathi_tamil | zs_opt | [
-0.08699485659599304,
1.324634313583374,
-0.01727975532412529,
-0.1651267409324646,
-0.09802639484405518,
-0.6037113070487976,
0.10877752304077148,
0.8409850597381592,
-0.7657387256622314,
0.5640509724617004,
-0.36759698390960693,
-0.2869879901409149,
0.19790294766426086,
-0.30217474699020... |
Given the task definition and input, reply with output. You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: पहिले बाल्कन युद्ध इ.स. १९१२ ते १९१३ दरम्यान <MASK>, ग्रीस, मॉंटेनिग्रो व बल्गेरिया विरुद्ध ओस्मानी साम्राज्य असे झाले, ह्या युद्धात संख्येने अधिक व डावपेचात निपुण असलेल्या बाल्कन राष्ट्रांनी ओस्मानी सैन्याला पराभूत केले. ह्या पराभवामुळे ओस्मानी साम्राज्याचा युरोपामधील जवळजवळ सर्व सत्ता संपुष्टात आली. ह्याची परिणती स्वतंत्र आल्बेनिया देशात झाली.
Option A: सर्बिया
Option B: ब्रिटनचा
Option C: रशियाचा
Option D: इजिप्त
| सर्बिया | 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.23973220586776733,
1.0207223892211914,
-0.6394800543785095,
-0.2818220853805542,
0.07111459970474243,
-0.24084928631782532,
1.1325650215148926,
0.2921798527240753,
0.9839573502540588,
0.11985168606042862,
-0.40228214859962463,
0.5427057147026062,
-0.23474043607711792,
-0.517207145690918,... |
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two given sets, A and B is a set that consists of all the elements of A and all the elements of B such that no element is repeated.
Input: Consider Input: Set1: '{3, 5, 6, 9, 10, 20}', Set2: '{4, 5, 9, 10, 12, 15, 17, 19, 20}'. How many elements are there in the union of Set1 and Set2 ?
Output: 11
Input: Consider Input: Set1: '{4, 7, 8, 12, 13, 15, 16}', Set2: '{1, 10, 2, 12}'. How many elements are there in the union of Set1 and Set2 ?
Output: 10
Input: Consider Input: Set1: '{10}', Set2: '{2, 4, 6, 7, 9, 11, 12, 13, 14, 17}'. How many elements are there in the union of Set1 and Set2 ?
| Output: 11
| 2 | NIv2 | task244_count_elements_in_set_union | fs_opt | [
0.44124776124954224,
0.38589906692504883,
-1.2838959693908691,
0.31180912256240845,
-0.05275481939315796,
-0.5251516103744507,
0.7593836784362793,
0.8397760391235352,
-0.5059462189674377,
-0.20056882500648499,
-1.020772933959961,
0.1111762747168541,
0.05420846492052078,
-0.2781043648719787... |
Definition: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Input: Temp dropped ...sky dark n our birds went crazy in #pdx we enjoyed #SolarEclipse2017 #amazing
Output: | Happy | 2 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.2194114923477173,
0.09942854195833206,
-0.19401168823242188,
-0.09107539057731628,
-0.2806156575679779,
-0.6640220880508423,
0.5049605369567871,
0.14159010350704193,
0.13281524181365967,
0.2199314534664154,
-0.6362268924713135,
-0.5036686658859253,
-0.22513766586780548,
-0.1256476938724... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
`` i 've tried meditating , but so far i have n't been able to get anything more .
| `` i tried to meditate , but i have n't figured anything out yet . | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.7414218783378601,
0.9225430488586426,
0.401921808719635,
-0.23933899402618408,
-0.5274713039398193,
-0.39620959758758545,
0.7944281101226807,
0.43920770287513733,
-0.18384864926338196,
-0.49668532609939575,
-0.2617679834365845,
-0.023857098072767258,
-0.7220954895019531,
0.2397349774837... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Input: لأننا نضعها في مكان هي لا تحب أن تكون موجودة فيه, ولا تحب أن تخضع لكل ما نريده منها.
Output: | ما اونها را در محيطى قرار می داديم كه نميخواستن اونجا باشند ، و نمی خواستن چيزى رو كه ما ميخواستيم رو انجام بدن. | 3 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
0.3242987096309662,
0.7090321779251099,
-0.08225297182798386,
-0.4811449944972992,
-0.3512752056121826,
0.3366028070449829,
0.39533451199531555,
-0.22944335639476776,
1.4498474597930908,
0.6990224123001099,
-1.1028797626495361,
0.597158670425415,
-0.4378531575202942,
-0.22231155633926392,
... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Q: CLAIM : The following post is HISTORICAL. POST : This happend a few months ago. It was a busy friday at work, coworker was supposed to start 30 min ago, which is unusual since she is always on time. So i called her and she explained that her train was delayed, because a guy jumped in front of it, and might take a while.
My immediate reaction was:"What an asshole." And even today when i think about it i have mixed feelings about it. Killing yourself isn't a decision you take lightly i know.
And i don't know what that guy must have dealt with.
But jumping in front a train is incredibly selfish, you just traumatized hundreds of people, including the one operating the train, but then again can you really call someone an asshole for killing himself?
A: | no | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.29728469252586365,
-0.11037413030862808,
0.4913216829299927,
0.12313669919967651,
0.5847705006599426,
-0.6875641345977783,
0.2317550629377365,
1.0775176286697388,
-0.33253204822540283,
0.04001595452427864,
-0.2524743378162384,
0.03963547945022583,
-0.07813913375139236,
-0.21154177188873... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Problem:ولكن هذه مغالطة.
Solution: | But this is a fallacy. | 8 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.7192555069923401,
1.1293809413909912,
0.7630504369735718,
-1.1441595554351807,
0.14189636707305908,
0.19502124190330505,
0.7317994236946106,
-0.12377134710550308,
0.29385313391685486,
-0.7452580332756042,
-0.8684255480766296,
-0.31394851207733154,
0.03674005717039108,
0.3359628915786743... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Ma a che cosa ha fatto appello?
Output: | Pero, ¿que nos estaba a pedir realmente? | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.723264217376709,
1.7327226400375366,
-0.7197883725166321,
-0.01381115522235632,
-0.010102048516273499,
-1.1231718063354492,
-0.20460644364356995,
0.8861570358276367,
-0.9132934808731079,
0.13364949822425842,
-0.7310710549354553,
0.09354338049888611,
-0.9644621014595032,
-0.0729188024997... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
One example is below.
Q: 処方箋を支払う為の保険は ？
A: Terán seguro para pagar a receita?
Rationale: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
Q: 体重を減らすことは物理的に可能ですし、
A: | Fisicamente é posíbel perder peso. | 9 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.3338938057422638,
0.9923585057258606,
0.4706137776374817,
-1.0177184343338013,
-0.1793615221977234,
-1.3042399883270264,
1.1582369804382324,
0.2966133654117584,
0.29393625259399414,
-0.6496513485908508,
-0.4332609176635742,
0.2887967824935913,
-1.0358365774154663,
0.7509551644325256,
... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Y este es el modelo de como va a trabajar. Entonces es el mismo sistema; el vehículo es diferente. Y ese es el modelo.
| وهذا هو النموذج ، كيف سيعمل. ولذلك انه نفس النظام; المركبة مختلفة. وذلك هو النموذج. | 5 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.7691720128059387,
0.4207526445388794,
0.4358154237270355,
-0.06271761655807495,
-0.17261989414691925,
0.2942764461040497,
0.6062044501304626,
1.037704348564148,
0.5782816410064697,
-0.2564510107040405,
-0.6990464925765991,
0.27463454008102417,
0.16095104813575745,
0.10604166984558105,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
(Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Why? The English sentence is correctly translated into Arabic, because the meaning is preserved.
New input: Now, this is actually more dangerous than writing your password down, because it makes you much more susceptible to attackers.
Solution: | في الواقع هذا أكثر خطورة من تدوين كلمة المرور الخاصة بك لأنه يجعلك أكثر عرضة للمهاجمين | 0 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.2342747002840042,
0.51057368516922,
0.42070645093917847,
-0.6360673904418945,
0.007544820662587881,
0.14137393236160278,
1.1826975345611572,
-0.0018863729201257229,
0.4774833917617798,
-0.052501752972602844,
-0.417488157749176,
-0.1249440461397171,
-0.6128320097923279,
-0.103620186448097... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Y si bien yo deseaba crear una identidad que no usara la arquitectura fracasé en el intento.
Solution: | E sebbene desiderassi creare una identity che non facesse uso dell'architettura, non ci sono riuscito. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.07115427404642105,
1.5185173749923706,
0.006724455859512091,
0.15461818873882294,
-0.2850745618343353,
-0.6132410764694214,
0.09644193202257156,
0.9957327842712402,
-0.31401902437210083,
-0.4200643002986908,
-0.1607988178730011,
-0.11117276549339294,
-0.5436174869537354,
0.00680477451533... |
Detailed Instructions: 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.
Q: Sentence: Until now Pakistan has not facilitated such a return and clearly it can not happen until there is both a pull from Kabul {{ and }} a push from Islamabad .
Word: and
A: | CCONJ | 9 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7728945016860962,
0.6058870553970337,
-0.0945521742105484,
-0.0288044773042202,
-0.059166233986616135,
-0.4405720829963684,
0.9659556150436401,
0.8129152059555054,
-0.46924200654029846,
-0.030879760161042213,
-0.5929334163665771,
0.28938135504722595,
-0.6015692949295044,
0.71472412347793... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.