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 |
|---|---|---|---|---|---|---|
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Example Input: A guillotine, which is a deck fitting containing a hinged bar that can be dropped across a link of the cable outboard of the windlass, takes the place of a compressor.
Example Output: Igilothini, esisi, fakele & somgangatho eninento nga enehenjisi enokujulwa kwilinye icala lelingu lwenTambo ejingaphandle kwesixhobo sekutsala, iThatha indawe yesixinzelelo.
Example Input: The variety of receptions which you will attend is so extensive that each will be discussed separately.
Example Output: Iintlobo ntlobo zezamkelo oza kuthi uye kuzo zimbaxa kangangokuba uhlobo ngalunye luza kuxoxwa lodwa ngokwahlukileyo.
Example Input: The successes achieved in this work shift the optimum sizes of ships as determined by shipowner economic calculations to ever larger values.
Example Output: | Impumelelo efumanekileyo kolu tshintsho msebenzi eyona milinganiselo yeenqanawa azimiswe ngabanini beenqanawa ukubalwa kwezoqoqosho kumanganaba anakhula.
| 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.05356369912624359,
0.23401132225990295,
-0.31418246030807495,
-0.16512542963027954,
0.24975910782814026,
-1.2046180963516235,
0.042348071932792664,
0.7962358593940735,
-0.007165208458900452,
0.04820211976766586,
-0.14851805567741394,
0.053802408277988434,
-0.25423237681388855,
0.1080625... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Input: Fact: Infancy is the period of most rapid growth after birth.
Topic: infancy baby.
Output: | While a baby is very young, during infancy, co-sleeping is very convenient for feeding schedules. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.02533639967441559,
0.6679535508155823,
-0.5893414616584778,
-0.1337583363056183,
-0.6132683753967285,
-0.1313672959804535,
-0.10985231399536133,
0.7008447647094727,
-0.10931583493947983,
-0.21121762692928314,
-1.3494257926940918,
0.9848549365997314,
-0.567620038986206,
0.2487197816371917... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Washington (CNN) President Donald Trump will begin work Friday dismantling the financial regulations enacted after the 2008 economic crisis, hours after the first major economic report of his administration is released. Trump's executive moves won't have an immediate effect on Wall Street oversight. But they're likely to draw sharp criticism from Democrats and reform proponents who say the regulations that the President is looking to scrap could prevent another meltdown. In two executive actions, Trump plans to direct his administration to evaluate regulatory action taken by his predecessor, Barack Obama, with an eye toward eliminating what his advisers say are burdensome rules on financial services firms and consumers.Trump will issue a broad directive meant to garner input from the heads of federal regulatory agencies on areas for reformA second action will direct the Department of Labor to cease implementation of an Obama administration rule on retirement investment advisers
Question:But the _ administration official said the rule was a "complete mess" with a litany of unintended consequences.
Donald Trump
A cat who went missing after escaping a damaged crate after 14-hour flight from Abu Dhabi to New York about last week has been found. Felix was discovered at JFK airport after being on the loose for more than two weeks. The cat's owners, Jennifer Stewart, 31, and her 34-year-old husband, Joseph Naaman, were left devastated after their beloved pet when missing from his damaged crate. Jennifer Stewart and husband, Joseph Naaman, pictured with their cat, Felix, who disappeared April 1 Facebook updates: Ms Stewart updated her friends after hearing the news that Felix the cat had been foundFelix the cat was found two weeks after going missing in transitMuch loved pet disappeared after escaping his plastic crate at JFK AirportOwner Jennifer Stewart said the crate was badly damaged in transitShe is calling for better policies and procedures for the transport of petsEtihad said it is working with ground handlers and 'specialists' to find Felix
Question:At first I thought he was going to tell me that [_] died.
Felix
Just 90 miles away, Cuba inevitably shares a long history with the United States, from conquistadors to the Spanish-American War to the Cold War. Here are some of the top moments in that history, even before the countries came into being. Old World meets New World Christopher Columbus lands on Cuba in 1492 and claims the island for Spain, leading the way for that country's conquistadors to explore the Caribbean and the part of the U.S. Southeast that's now Florida, among other parts of the Americas. Spanish-American War The United States helps Cuba win independence from Spain in a war between the European country and the Americans in 1898. In one of the more famous moments, Theodore Roosevelt and his Rough Riders charge up Cuba's Kettle Hill during the Battle of Santiago, and the so-called 1st Volunteer Cavalry become instant heroes.The United States helped Cuba win independence from Spain in 1898The new Republic of Cuba allows the U.S. naval base in Guantanamo in 1903U.S. comes to brink of nuclear war with Cuba and Soviet Union in 1962A custody battle over Elian Gonzalez becomes an international incident in 1999
Question:Flotillas of rafts and boats carry a mass movement of refugees from _ to Florida in 1980.
| Cuba
| 0 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.21827027201652527,
0.5104106068611145,
-0.6597520112991333,
0.06918035447597504,
0.18040049076080322,
-0.11662543565034866,
0.02556246891617775,
1.1932556629180908,
-0.6384376287460327,
0.4533426761627197,
-0.07156991213560104,
0.22447264194488525,
-0.26043376326560974,
0.22361025214195... |
Teacher: 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].
Teacher: Now, understand the problem? If you are still confused, see the following 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.
Solution: Sci/Tech
Reason: The topic of the news article is relevant to science(astronomy). Hence, the label is 'Sci/Tech'.
Now, solve this instance: Yahoo Plans Desktop Search To Compete With Google, Microsoft Yahoo Inc. plans to release in January the beta version of a desktop search application, as the giant web portal looks to catch Google Inc.
Student: | Sci/Tech | 2 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.8787378668785095,
0.4226670563220978,
0.014287812635302544,
0.3816520571708679,
0.30584290623664856,
0.007219648454338312,
-0.8219236135482788,
0.7334578037261963,
-0.1294054239988327,
-0.011926895938813686,
-0.04129139333963394,
0.38191479444503784,
0.0008163359016180038,
-0.4834431111... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: este bebé sabemos que está fóra de perigo.
Student: | この子の場合には明確でしょう | 6 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
0.22168976068496704,
0.23423561453819275,
0.06625572592020035,
-0.7439173460006714,
-0.034041628241539,
-0.716543436050415,
0.7483049631118774,
0.4468647837638855,
0.2245785892009735,
-0.8118641376495361,
-0.4607045352458954,
0.22081097960472107,
-0.6013468503952026,
-0.1234094500541687,
... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
Problem:મિત્રો, સ્વામી વિવેકાનંદે આપણી આર્થિક- સામાજિક સમસ્યાઓ અંગે પણ વાત કરી હતી.
Solution: | స్వామి వివేకానందుడు సామాజిక, ఆర్థిక సమస్యల గురించి కూడా మాట్లాడారు. | 8 | NIv2 | task1013_pib_translation_gujarati_telugu | zs_opt | [
0.30809247493743896,
0.4409794509410858,
0.314047247171402,
0.08883711695671082,
-0.42109689116477966,
-1.0227301120758057,
0.7073057889938354,
0.077992744743824,
-0.40001025795936584,
-0.30093619227409363,
-0.5202763676643372,
0.10598308593034744,
-1.3893649578094482,
-0.1974729299545288,... |
Detailed Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
See one example below:
Problem: Premise: و شما می دانید مردم می گویند که می دانید فرستادن بچه ها به کالج گران است ، اما اگر همه مسئولیت کمی را بر عهده داشته باشند می دانید که هزینه آن در حدود پانصد دلار در هر ترم است ، فرض کنید که به یک کالج ایالتی بروند و در خانه زندگی کنند <sep> Hypothesis: مردم می گویند کالج گران است.
Solution: Entailment
Explanation: This is a good example, and the hypothesis sentence entails the given premise sentence.
Problem: Premise: این آزمایش تنها تا زمان مرگ Ahkenaten ادامه یافت که تقریباً تمام سوابق مربوط به پادشاه از بین رفت. <sep> Hypothesis: این آزمایش با مرگ Ahkenaten به پایان رسید.
Solution: | Entailment | 4 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.7028554081916809,
0.31272566318511963,
0.014740434475243092,
-0.14355450868606567,
-0.5383329391479492,
-0.28562965989112854,
1.0314671993255615,
0.3780868351459503,
0.3347215950489044,
-0.23251226544380188,
-0.844237744808197,
0.47580474615097046,
-0.21392196416854858,
0.05725585669279... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
This is the case for many school and university level matches.
පාසල් හා විශ්ව විද්යාල මට්ටමේ තරඟ සඳහා හේතුව මෙය වේ.
In April of that year, with the aim of re organizing its authority, Setian re-created the new Thappa Bottle which is the symbol of ancient China's monopoly power.
එම වර්ෂයේම අප් රේල් මස, සිය අධිකාරය ප් රතිසංවිධානය කිරීමේ අරමුණින් වූ සේටියෑන් පුරාතන චීනයේ ඒකාධිකාරී බලයේ සංකේතය වූ නව තෙපා කටාරම යළි නිමැවූවා ය.
For example, the Jamaican reparations movement approved its declaration and action plan.
| නිදසුනක් වශයෙන්, ජැමෙයිකානු වන්දි ගෙවීමේ ව්යාපාරය එහි ප්රකාශය සහ ක්රියාකාරී සැලැස්ම අනුමත කළේය.
| 0 | NIv2 | task604_flores_translation_entosn | fs_opt | [
-0.2722744941711426,
0.7325251698493958,
-0.14050355553627014,
-0.3460913896560669,
0.055161841213703156,
-0.7499693632125854,
0.15899118781089783,
0.48794689774513245,
-0.13055700063705444,
-0.3816428482532501,
0.24582841992378235,
0.4580424427986145,
-0.056904807686805725,
-0.19300076365... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
ساختمان های « سبک جورجی » دور تا دور اونجا هست.
יש בניינים ג 'ורג' יאנים בצדדים.
چیزی را که میگويید نیاز به پشتوانه ای واقعا قانع کننده ، برای گفتن دارد. چیزی را که میگويید نیاز به پشتوانه ای واقعا قانع کننده ، برای گفتن دارد.
הדברים שאתה אומר צריכים להיות מגובים על ידי דרך צורת דיבור מאוד משכנעת.
گهگاهی ، جایزه هایی وجود داشت ، از قبیل آن چه که در قرن ۱۸ام به جان هریسون اعطاء شد ، بخاطر حل کردن به اصطلاح مشکل طول جغرافیایی ، اما جایزه ها در واقع تنها زمانی داده می شدند ، که کار انجام شده بود.
| מידי פעם חולקו פרסים, כמו זה שהוענק לג 'ון הריסון במאה ה-18, על כך שפתר את מה שכונה "" בעיית המרחק "", אבל הפרסים ניתנו רק בדיעבד, אם בכלל.
| 0 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.068200707435608,
0.17766305804252625,
0.36593741178512573,
-0.4585939943790436,
-0.3123393654823303,
-0.3876942992210388,
-0.03640549257397652,
-0.06770267337560654,
0.3329642713069916,
-1.0411831140518188,
-1.0014756917953491,
0.21154391765594482,
-0.5367468595504761,
0.008703865110874... |
Teacher:In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher: Now, understand the problem? Solve this instance: 8, 20, ['6439', 'S', 'j', '8681', '8907', '2197', 'j', '9819', 'z', 't', 'T', '6697', 'O', 'W', '5097', 'A', '1561', 'F', 'V', '8815']
Student: | 31989 | 6 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.21534693241119385,
0.534949779510498,
-0.7594549059867859,
-0.5626607537269592,
0.08989696949720383,
-0.3814115822315216,
0.1977904886007309,
-0.12863090634346008,
-0.7246350049972534,
0.0732252299785614,
-0.4019390046596527,
0.8732213377952576,
0.0800665020942688,
-0.6076977252960205,
... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Problem:إذا كان ذلك صحيحاً فسوف يحدث أكثر من مرة ؛ سوف نكون جزءاً من أكوان متعددة أكبر بكثير.
Solution: | Se isso for verdade teria de acontecer mais do que uma vez; seríamos parte de um muito maior multiverso. | 8 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
0.10679316520690918,
0.6390560865402222,
-0.3098454177379608,
-0.059710606932640076,
-0.3356240391731262,
-0.04857605695724487,
0.28644517064094543,
0.361686110496521,
0.5116620063781738,
-0.08349058777093887,
-0.7680854201316833,
-0.01291540265083313,
-0.678597092628479,
0.498819917440414... |
You are given a statement written in Tamil. 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 .
Let me give you an example: Statement: எம்.சி.பி வங்கி, 2008 இல், மலேசியாவின் மலாய் வங்கி நிறுவனத்துடன் ஒரு கூட்டணியைத் தொடங்கியது. <MASK> இப்போது எம்சிபி வங்கியில் 20 சதவீத பங்கைக் கொண்டுள்ளது. 2009 ஆம் ஆண்டில், எம்சிபி வங்கியின் தலைவர் மியான் முகம்மது மன்சா, பாக்கித்தானுக்கு தொடர்ந்து வெளிநாட்டு முதலீட்டைக் கொண்டுவருவதில் தனது முயற்சிகள் வெற்றிகரமாக இருந்தன என்றும், மே வங்கியுடனான ஒப்பந்தத்தைத் தொடர்ந்து மலேசியாவிலிருந்து தனது வங்கி ஏற்கனவே 970 மில்லியன் அமெரிக்க டாலர் முதலீட்டை நாட்டிற்கு கொண்டு வந்துள்ளது என்றும் கூறினார். இங்கிலாந்து பைனான்சியல் டைம்ஸ் செய்தித்தாளுடன் சிறப்பு மதிய உணவுக்கு அவர் தேர்ந்தெடுக்கப்பட்டார். 2010 இல் ஃபோர்ப்ஸ் என்ற உலகளாவிய ஊடக நிறுவனத்தின் பட்டியல்களின்படி, அவர் உலகின் 937 வது பணக்காரரும், பாக்கித்தானின் முதல் பணக்காரரும் ஆவார்.
Option A: பாக்கித்தானில்
Option B: மேபேங்க்
Option C: இந்தியாவுக்குச்
Option D: மலேசியாவிலிருந்து
The answer to this example can be: மேபேங்க்
Here is why: The statement talks about the May Bank and it's related activities, the most suitable replacement of the <MASK> token would be மேபேங்க் based on the local context. The other options are countries .
OK. solve this:
Statement: பல பெயர் பெற்ற திரைப்படங்களில் பங்கீ ஜம்பிங் காட்சிகள் இடம் பெற்றுள்ளன, இவற்றில் குறிப்பாக 1995 ஆம் ஆண்டில் வெளிவந்த ஜேம்ஸ் போண்ட் நடித்த கோல்டன் ஐ என்ற படத்தில் துவக்கத்தில் <MASK>வில் இருக்கும் ஒரு அணைக்கட்டின் நுனியில் இருந்து பங்கீ ஜம்பிங் செய்யும் காட்சி இடம் பெற்றது ஒரு முக்கிய காட்சியாகும். (உண்மையாக சொல்லப்போனால், இந்தக காட்சி சுவிட்சர்லாந்தில் உள்ள வேர்ஜாச்க அணைக்கட்டி ல் படமானது, மேலும் அவர் நிஜமாகவே அவ்வாறு குதிக்கவும் செய்தார்).
Option A: ரஷ்யா
Option B: நியூசிலாந்து
Option C: பிபிசி
Option D: மெக்சிகோ
Answer: | ரஷ்யா | 8 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.8695550560951233,
0.2877907156944275,
-0.374732106924057,
0.06466968357563019,
0.3271833062171936,
0.14679381251335144,
0.06768883764743805,
0.3476308584213257,
0.007468472234904766,
0.08404213935136795,
-0.16712439060211182,
-0.046118997037410736,
-0.0993066132068634,
-0.429054766893386... |
Detailed Instructions: In this task, you are given a sentence and a verb from the sentence. Your task is to generate a set of wh-questions starting with who, what, when, where, why, how, how much. The generated questions must contain the verb and the answers to these questions are phrases in the input sentence. The answer to the questions is associated with a specific semantic role. The answer to these questions is associated with a specific semantic role. The questions must use pronouns instead of direct nouns that could be used to refer to various roles present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique (iii) its answer is a continuous text span from the paragraph.
See one example below:
Problem: Sentence: The album is named after the discredited pseudoscience of phrenology , the study of head shapes to determine intelligence and character , which was used to rationalize racism during the 19th century in the United States .
Verb: named
Solution: what is named after something?
Explanation: It contains the verb named which is given in the input. It is a question that starts with a ‘wh’ word. The answer to this question is the album and it can be found in the sentence. Also, it does not use any nouns from the sentence but uses something which is a pronoun to refer to one of the roles present.
Problem: Sentence: The tank is known as the SV-001 , which not only increases the player 's offense , but considerably adds to their defense .
Verb: increases
Solution: | what increases something? | 4 | NIv2 | task1519_qa_srl_question_generation | fs_opt | [
0.11604207754135132,
0.5762493014335632,
-0.10408318042755127,
-0.20020896196365356,
-0.38246574997901917,
-0.5225496888160706,
0.8994743227958679,
0.5148954391479492,
0.05375976115465164,
-0.45033591985702515,
-0.9779707193374634,
0.05274292081594467,
-0.7018725872039795,
-0.0332696363329... |
Q: 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: 71% of WIs roads are in poor or mediocre condition and 14% of WIs bridges are structurally deficient or functionally obsolete.
Subject: taxes
A: | False | 7 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.5248051881790161,
0.9461893439292908,
0.06936761736869812,
-0.19260990619659424,
-0.23086872696876526,
-0.6330041885375977,
1.366917610168457,
0.5161013603210449,
0.3218018412590027,
-0.1757853627204895,
-0.24773676693439484,
0.4353407621383667,
-0.08583105355501175,
0.21340462565422058... |
Q: This task is about translating a given Spanish language sentence to English.
Es un procedimiento estadístico que ha utilizado para medir y describir la relación entre dos variables, y puede pensar de correlaciones, somos una especie de momento en este curso donde estamos en la cúspide de Estadística descriptiva y estadística inferencial.
A: | Is a statistical procedure that's used to measure and describe the relationship between two variables, and you can think of correlations, we're sort of at a point in this course where we're on the cusp of descriptive statistics and inferential statistics. | 7 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-1.2108690738677979,
0.6710143089294434,
0.3656182885169983,
-0.40374696254730225,
0.20794999599456787,
-0.7552525997161865,
-0.5618991851806641,
1.020214319229126,
0.661268413066864,
0.07843680679798126,
-0.514471173286438,
0.6417800188064575,
0.08505051583051682,
0.12357734143733978,
0... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
One example: hNarAik
Solution is here: hNrk
Explanation: The three vowels in the input 'a, 'A', and 'i' are removed.
Now, solve this: deAjapNuvaIOdAd
Solution: | djpNvdd | 6 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.3559716045856476,
0.7963413000106812,
-0.2600403428077698,
-0.9151202440261841,
0.22507423162460327,
-0.4596278667449951,
0.9734252095222473,
0.11724443733692169,
0.10622654855251312,
-0.12125324457883835,
-0.5385381579399109,
-0.8664471507072449,
-0.23405463993549347,
-0.592916309833526... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: I use it as my sister's birthday present. After a few trips, I found out that my sister fell in love with it and hoped that she would always bring happiness. The air bed is good and not leaking.
A: | positive | 4 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.4128933548927307,
-0.015887238085269928,
0.010861060582101345,
-0.9524123072624207,
-0.041374512016773224,
-0.14780846238136292,
1.1673362255096436,
-0.07667183876037598,
0.03901863098144531,
0.4776268005371094,
-0.059013184159994125,
-0.7038954496383667,
-0.8405036926269531,
-0.1792971... |
Given the task definition and input, reply with output. In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['what', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'really', 'just', 'expose', 'you', 'and', 'introduce', 'you', 'to', 'the', 'idea', 'of', 'even', 'what', 'I', 'keep', 'a', 'computer', 'program', 'is', 'and', 'just', 'in', 'case', 'you', 'want', 'to', 'follow', 'along', 'and', 'I', 'highly', 'recommend', 'you', 'do', 'that', 'because', 'the', 'real', 'way', 'to', 'learn', 'computer', 'science', 'is', '', 'really', 'fiddle', 'with', 'things', 'yourself', 'is', 'I', 'this', 'is', 'a', 'a', 'Python', 'environment', 'so', "I'm", 'going', 'to', 'be', 'doing', 'a', 'lot', 'of', 'the', 'programming', 'in', 'Python', 'and', 'right', 'here', 'the', 'environment', 'is', 'called', 'PI', 'script', 'or', 'py', 'SCR', 'IP', 'ter', "it's", 'free', "it's", 'an', 'open-source', 'piece']
| ['What', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'really', 'just', 'expose', 'you', 'and', 'introduce', 'you', 'to', 'the', 'idea', 'of', 'even', 'what', 'I', 'keep', 'a', 'computer', 'program', 'is.', 'And', 'just', 'in', 'case', 'you', 'want', 'to', 'follow', 'along--', 'and', 'I', 'highly', 'recommend', 'you', 'do', 'that,', 'because', 'the', 'real', 'way', 'to', 'learn', 'computer', 'science', 'is', '', 'really', 'fiddle', 'with', 'things', 'yourself', 'is', 'I', 'this', 'is', 'a', 'a', 'Python', 'environment.', 'So', "I'm", 'going', 'to', 'be', 'doing', 'a', 'lot', 'of', 'the', 'programming', 'in', 'Python.', 'And', 'right', 'here,', 'the', 'environment', 'is', 'called', 'PI', 'script', 'or', 'py', 'SCR', 'IP', 'ter', "it's", 'free', "it's", 'an', 'open-source', 'piece'] | 5 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.48961949348449707,
0.2792433500289917,
0.10146462172269821,
0.032186850905418396,
0.17678487300872803,
-0.807233452796936,
-0.26247233152389526,
1.2564140558242798,
-0.10448819398880005,
0.05888638272881508,
-0.45758840441703796,
-0.0036524382885545492,
-0.25695592164993286,
-0.303504645... |
instruction:
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'.
question:
With which musical instrument is Courtney Pine most closely associated?
answer:
music
question:
In which 1970 film, did Dustin Hoffman play the part of a hundred year old survivor of the Battle of The Little Big Horn?
answer:
film
question:
What song gave Black Sabbath their highest charting hit?
answer:
| music
| 9 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.6658378839492798,
0.1724681854248047,
-0.5283284187316895,
-0.02575031667947769,
0.2983548045158386,
-0.4228881299495697,
0.586939811706543,
0.8968407511711121,
-0.15742237865924835,
0.12707394361495972,
0.14832395315170288,
0.13851921260356903,
-0.5110836029052734,
-0.30773478746414185,... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Chcemy odwzorować dowolną interakcję w klocku gotowym do użycia.
A: | Queremos adaptar todas as interações do mundo num tijolo pronto a usar. | 7 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.15698355436325073,
1.156242847442627,
-0.2988690137863159,
-0.36872416734695435,
-0.4778895974159241,
-0.613093376159668,
0.18420904874801636,
0.2099771648645401,
0.43432682752609253,
-0.2532041370868683,
-0.20308326184749603,
0.508762538433075,
-0.41974079608917236,
0.3803779184818268,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
--------
Question: まずは私がどんな経緯でそんなことをすることになったのかをお話しします
Answer: Najpierw powiem, jak do tego doszło.
Question: この鳥は日本の子供たちに長年愛されてきたものです
Answer: A jeden taki ptaszek... Dzieci w Japonii robią je od wielu lat.
Question: そしてまた別の仮説が生まれるかもしれません
Answer: | Niektóre będą odbiegały od tego, o czym pisałem.
| 7 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.024822406470775604,
0.5968049764633179,
-0.36479800939559937,
-0.11444588005542755,
-0.4366567134857178,
-0.24649496376514435,
0.5180513858795166,
0.053898878395557404,
-0.07485197484493256,
-0.27149680256843567,
-0.34350308775901794,
0.7906641364097595,
-1.3100076913833618,
0.4318981766... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears checked for devices prior to the debate. The Biden campaign rejected the claims. The Trump campaign adverts ask: "Why won't Sleepy Joe commit to an ear test?" and "Who is in Joe's ear?" Accusations that presidential candidates have received debate help via hidden hearing devices are familiar, albeit unproven. Such allegations have been levelled against both Republican and Democratic candidates in the past. Prior to Tuesday's debate, the rumour about Mr Biden's supposed earpiece was circulating on several social networks, and was being promoted by the Trump campaign. At least 15 versions The advertising campaign was launched after the debate, and also promotes two other baseless but widely shared rumours about Mr Biden. One suggested he asked for breaks during the debate, and another accused him of refusing a "drug test". The photo featured in the advert is not from Tuesday's debate. It was first shared online in September 2019. In a number of the adverts, it has been doctored to show Mr Biden wearing wireless Apple headphones. This was not the case in the original image. Some versions circle the ear featuring the headphone. By Wednesday evening, there were at least 15 different versions of the advert, and according to Facebook's Ad Library, they had reached at least 10 million users. Facebook has pledged to label posts containing voting misinformation and point users towards accurate information ahead of the election. However its policy does not involve fact-checking political speech, including in advertisements. The company declined to comment about the latest Trump ad campaign. Rumour origins Hours before the debate, the claims went viral on Facebook and YouTube. Identical memes were pushed by a number of popular Facebook pages with names such as US Conservative and Unhinged Left. They claimed "Joe Biden should be inspected for a hidden earpiece as well as submit to a drug test before the debate". These memes are subject to fact-checks - and some have had warning labels applied to them on Facebook. The claims were picked up by Fox News and other conservative news outlets. They were further amplified by supporters of QAnon, an unfounded a conspiracy theory that claims President Trump is fighting a secret war against elite Satan-worshipping paedophiles. Those who believe in QAnon are known for promoting political disinformation on social media which targets opponents of the president. They shared close-up pictures of Mr Biden's ears, alleging a listening device was visible. During the debate, some also shared photos of a fold in Mr Biden's shirt, claiming it was caused by a wire, and of a supposed device on his wrist, where he wears a rosary in memory of his late son Beau. Nothing new Conspiracy theories about secret listening devices have been recycled in presidential election campaigns for the past two decades. Democratic candidate Hillary Clinton faced similar unfounded claims ahead of the 2016 presidential election. In 2004, rumours circulated among left-wing sites and blogs that President George W Bush was being aided by a secret earpiece. None of those allegations were found to be true. Even if a candidate did wear an earpiece, any advantage would be questionable. As TV and radio presenters can attest, listening to someone while simultaneously talking during the back-and-forth of a live event is a difficult skill to master.
Solution: US President Donald Trump's re-election campaign is running hundreds of Facebook advertisements pushing an unfounded conspiracy theory that Joe Biden cheated during the first US presidential debate.
Why? This is a relevant summary for the given paragraph. It also contains explicit phrases from the given text
New input: Graham Jones, 53, had driven past two road closed signs ahead of the incident between Newton-on-Ouse and Tollerton, near York, on 5 January. He denied dangerous driving but was convicted following a trial. Jones, of Linton Woods Lane, Linton-on-Ouse, was also handed a 36-month driving ban at York Crown Court. Read more about this and other stories from across York and North Yorkshire Judge Paul Batty QC told Jones he had shown "vaunted arrogance" during his evidence and did not understand why he had not pleaded guilty given the evidence against him. The bus was transporting the pupils on an eight-mile (12km) journey to Easingwold School on the first day back following the Christmas holiday. Jones had driven through one stretch of water without incident but got stuck when he attempted to drive through a second stretch, the court heard. Prosecutors said he had driven past two road closed signs, although Jones claimed he had only seen one and thought it referred to a bridge closure nearby. He told the court he had made a "genuine mistake". In sentencing, Judge Batty said Jones had refused to accept the amount of danger he put the children in because of his "reckless act". He said: "This was an extremely bad case of dangerous driving. "The consequences that could have followed simply do not bear thinking about." None of the secondary school pupils on board the bus was injured but some had to be carried to safety by firefighters. Speaking after sentencing, a spokeswoman for North Yorkshire Police said: "It should send a clear warning to drivers not to ignore road closure signs that are put in place to protect people, and to heed the dangers of driving through floodwater."
Solution: | A school bus driver whose vehicle became stranded in floodwater with 23 pupils on board has been jailed for a year. | 0 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.47793418169021606,
0.4375756084918976,
-0.619251012802124,
-0.14644569158554077,
0.1925932615995407,
-0.003859827062115073,
0.6040784120559692,
1.1099056005477905,
-0.17300400137901306,
0.14958608150482178,
0.0956413745880127,
0.4832412600517273,
-0.09774060547351837,
0.08768031001091003... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Problem:Pero la Iniciativa de Liderazgo King Billie Jean es mucho de la fuerza de trabajo, de cómo tratar de cambiarla, que la gente puede ir a trabajar y ser sus auténticos yos.
Solution: | Billie Jean King Leadership Initiative dotyczy głownie pracowników, i tego, żeby każdy mógł iść do pracy i być sobą. | 8 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-1.146707534790039,
0.9092507362365723,
-0.3975847661495209,
-0.007695026695728302,
-0.31422150135040283,
-1.1732574701309204,
0.18873418867588043,
0.4200630784034729,
-0.2829602360725403,
-0.03146287798881531,
0.08467178046703339,
-0.5136682987213135,
-0.2637348771095276,
0.10925999283790... |
Q: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
She tears off her bag and comes over.
A: | The operator searches her pockets and pulls her phone out of her jeans. | 7 | NIv2 | task455_swag_context_generation | zs_opt | [
0.5799475908279419,
1.4684420824050903,
-0.7059502601623535,
0.4506742060184479,
-0.27602964639663696,
-0.6121633052825928,
-0.6533282995223999,
0.6648529767990112,
0.07007603347301483,
0.2143113762140274,
-0.20546641945838928,
0.3160741329193115,
-0.7301143407821655,
0.3100026845932007,
... |
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
See one example below:
Problem: PPdQTlHHTJEe, DydQTlHHVnmlLu
Solution: dQTlHH
Explanation: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'.
Problem: nNrchlxzVsRYBqb, FxRntklxzVsRdVFaY
Solution: | lxzVsR | 4 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.17855149507522583,
1.1813009977340698,
-0.311199814081192,
-0.6571327447891235,
-0.5110867023468018,
-0.8620799779891968,
0.45277366042137146,
-0.689720630645752,
-0.05828547850251198,
-0.33198273181915283,
-0.803815484046936,
-0.5763645172119141,
-0.39397698640823364,
0.3986461758613586... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as taboo in polite usage.
Comment: The battle for Mosul will never end until the last two Muslims kill each other. Muslim Islamophobia is what keeps blood flowing in the streets. Mosul today, Kabul tomorrow, Cairo next week, Istanbul next month, Baghdad next year, and on and on and on.. Inshallah, and Allah Akbar to you, sir. | Non-obscene | 0 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.5818586945533752,
0.8436504602432251,
0.8331683874130249,
0.12096264958381653,
-0.0925365537405014,
-0.08359326422214508,
0.7892104387283325,
0.3588751554489136,
0.6366119384765625,
0.6478778123855591,
-0.14916658401489258,
-0.04149384796619415,
-0.3584910035133362,
-0.8667172193527222,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
In this paper, we propose the Asynchronous Accelerated Nonuniform Randomized Block Coordinate Descent algorithm (A2BCD). We prove A2BCD converges linearly to a solution of the convex minimization problem at the same rate as NU_ACDM, so long as the maximum delay is not too large. This is the first asynchronous Nesterov-accelerated algorithm that attains any provable speedup. Moreover, we then prove that these algorithms both have optimal complexity. Asynchronous algorithms complete much faster iterations, and A2BCD has optimal complexity. Hence we observe in experiments that A2BCD is the top-performing coordinate descent algorithm, converging up to 4-5x faster than NU_ACDM on some data sets in terms of wall-clock time. To motivate our theory and proof techniques, we also derive and analyze a continuous-time analog of our algorithm and prove it converges at the same rate.
Output: | We prove the first-ever convergence proof of an asynchronous accelerated algorithm that attains a speedup. | 1 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.03715932369232178,
0.37486544251441956,
-0.2099807858467102,
-0.38007569313049316,
-0.23270118236541748,
0.7906681895256042,
0.351188063621521,
0.3824491500854492,
0.6282820701599121,
0.23900330066680908,
-0.9870932102203369,
0.13872262835502625,
-0.264240562915802,
0.42995545268058777,... |
Given the task definition and input, reply with output. Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 34 Oo hadday dadkaagu dagaal u baxaan inay la diriraan cadaawayaashooda oo ay maraan jidkii aad ku soo dirtay, oo ay ku baryaan oo u soo tukadaan xagga magaaladan aad dooratay iyo xagga gurigii aan magacaaga u dhisay,
| 34 If thy people go out to war against their enemies, by the way that thou shalt send them, and adore thee towards the way of this city, which thou hast chosen, and the house which I have built to thy name: | 5 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.29916322231292725,
1.3896501064300537,
-0.036326706409454346,
0.3238888382911682,
0.5993853211402893,
-0.8490793704986572,
-0.09533645212650299,
-0.5552868843078613,
-0.3792117238044739,
-0.10373146831989288,
-0.014263014309108257,
0.6474220752716064,
-0.5109927654266357,
-0.70654523372... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
さて本当に馬でしょうか ？ | Pero, ¿es en verdad un caballo? | 0 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.724380612373352,
0.25343382358551025,
0.23158273100852966,
-0.01961103081703186,
-0.16039469838142395,
-0.5898779630661011,
0.47298169136047363,
0.7929053902626038,
0.7088685035705566,
-0.9544134140014648,
-0.9312771558761597,
0.8221292495727539,
-0.24758803844451904,
0.6645259857177734... |
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.
How to make Kumquat Marmalade Sauce at home. | Boil 2 cups chopped Kumquats foliage (entire Leaves) with 3/4 cup water and 1 1/4 cup sugar for 45 min., stirring to keep from scorching over med. heat on the stove top. | 0 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.08501584827899933,
1.13189697265625,
-0.41796424984931946,
0.31952041387557983,
-0.3879747986793518,
-0.5595979690551758,
0.29332444071769714,
0.2612451910972595,
-0.08536085486412048,
0.34325510263442993,
-0.22023871541023254,
0.2665255665779114,
-0.3474698066711426,
-0.3179565668106079... |
Q: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Question: How many years had the coach of Ascoli been with the team when he was replaced by Sonetti? Passage 1:The Cleveland Abbe House, also known as the Timothy Caldwell House and Monroe-Adams-Abbe House, is a historic house at 2017 "I" Street NW in Washington, D.C.. Built in 1805, it is a good example of Federal period architecture, and has had a series of distinguished residents. Most notable are James Monroe, who occupied it as United States Secretary of War and as President of the United States while the White House was restored after the War of 1812, and historian Henry Adams. However, it was designated a National Historic Landmark in 1975 for its association with meteorologist Cleveland Abbe (1838–1916), the founder of the National Weather Service, who lived here from 1877 until his death. It is now home to the Arts Club of Washington.
Passage 2:More recently, Sonetti joined Cagliari on November 2005, replacing Davide Ballardini, becoming the fourth coach appointed by the Sardinian team in a couple of months. He succeeded in maintaining his job until the end of the tournament, and in leading the rossoblù to maintain a place in the next Serie A; he left Cagliari at the end of the season. On 14 November 2006, Sonetti was appointed to replace Attilio Tesser at the helm of then last-placed relegation-battling Serie A Ascoli. He did not manage to save his side from falling to Serie B, and ended his experience in Ascoli at the end of the season with a second-last place. On November 2007 he returned at Cagliari for his third time, as he was appointed to replace Marco Giampaolo at the helm of the Sardinians. He resigned from his post on 19 December, but was confirmed by the club the next day after Marco Giampaolo rejected to return at the helm of the club. However, Sonetti was sacked only a few days later, after a 5–1 loss to Fiorentina, leaving the team last-placed in the league table, being replaced by Davide Ballardini. From 25 September 2008, he has been called back to Brescia replacing Serse Cosmi. On 19 May 2009 he was sacked himself, following a 2–1 loss to promotion rivals Grosseto that left Brescia in fourth placed, but with only a two-point lead to 7th-placed Triestina.
Passage 3:New state laws prohibiting fast food restaurants in low-income neighborhoods result in the closure of all KFC eateries in Colorado, much to the dismay of Cartman, who is addicted to the food. When Randy Marsh learns that South Park's KFC outlet is now a medical marijuana dispensary, he attempts to give himself cancer so he can get a doctor's referral for marijuana after first gaining a clean bill of health from his doctor since he had assumed permits are given to the healthy. By irradiating his groin with a microwave oven, Randy successfully gives himself testicular cancer, making his testicles so large that he has to use a wheelbarrow to carry them. Randy obtains his medical referral and starts smoking marijuana regularly. Meanwhile, his testicles continue to grow to the point that he uses them as a space hopper for movement. Randy finds that larger testicles are attractive to women, including his wife, Sharon Marsh, so he encourages his friends to also get testicular cancer. The local doctor, unaware of the men's self-irradiation, becomes convinced that a recent change in South Park is responsible for the cancer outbreak.
A: | 2 | 7 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.49492397904396057,
0.6788333058357239,
-0.8899592161178589,
-0.14315912127494812,
0.27395400404930115,
-0.5717881917953491,
0.8343899250030518,
0.7966461181640625,
-0.47959986329078674,
-0.09200330078601837,
-0.2109242081642151,
0.6111403107643127,
-0.45281001925468445,
0.289551317691803... |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
Q: [5, 1, 3, 1, 6, 8, 2, 3] , [4, 10, 2, 5, 1, 4, 4, 7]
A: | [1, 2, 5] | 4 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.47324657440185547,
0.06928190588951111,
-0.4462093114852905,
-0.387770414352417,
0.38134780526161194,
-0.07146943360567093,
0.7989442348480225,
0.4000520706176758,
0.0662192553281784,
0.27552133798599243,
-0.6457837820053101,
-0.2645804286003113,
0.03775325417518616,
0.292516827583313,
... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
في الأسبوع المنصرم كتبت رسالة عن عمل المؤسسة باثّاً فيها بعض الإشكاليات
| A semana pasada escribín unha carta sobre o traballo da fundación, contando algúns dos problemas. | 5 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.31157970428466797,
1.1440341472625732,
0.2574072778224945,
-1.0089848041534424,
0.00067674252204597,
-1.4046987295150757,
0.16115909814834595,
0.20354780554771423,
-0.23590900003910065,
0.09141689538955688,
0.0851147323846817,
0.33938848972320557,
-0.6614853739738464,
0.3653566539287567... |
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Example input: That is what?
Example output: Kí nìyẹn?
Example explanation: The English sentence is properly translated to the Yoruba language as both the sentences convey the same meaning and both the sentences are in sentence case and it includes punctuation marks as well.
Q: Morocco is bidding for the fifth time to host the World Cup finals, having also tried for the 1994, 1998, 2006 and 2010 tournaments.
A: | Morocco ti ń gbèrò láti ṣagbátẹrù ìdíje bọ́ọ̀lù àgbááyé fún ìgbà karùn-ún báyìí, bákan náà wọn tún gbìyànjú láti ṣagbátẹrù ìdíje náà lọ́dún 1994, 1998, 2006 àti ọdún 2010. | 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
0.012567626312375069,
0.4505831003189087,
0.07257924973964691,
-0.017473265528678894,
0.07055869698524475,
-0.013753855600953102,
0.4747018814086914,
0.6747273206710815,
-0.21521571278572083,
-0.3857460021972656,
-0.5273067355155945,
0.5834124088287354,
-0.8264601826667786,
0.0768716186285... |
Detailed Instructions: In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Q: Rinse lentils; set aside.,In a large saucepan or Dutch oven cook onion and garlic until tender, not brown.,Stir in lentils, water, tomatoes, bouillon, Worcestershire sauce, salt, thyme, fennel seed, pepper and bay leaf.,Bring to a boil.,______,Add carrots and frozen spinach. Bring to a boil, breaking up spinach with a fork; reduce heat. Cover and simmer for about 10 minutes or until lentils are tender. Add vinegar; discard bay leaf.,Makes 4 servings.
A: | Reduce heat. Cover and simmer for 20 minutes. | 9 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
-0.09976799041032791,
0.9256772398948669,
-0.22625283896923065,
0.019513048231601715,
0.1661771684885025,
-0.47748327255249023,
0.7084002494812012,
0.6412275433540344,
-0.46230441331863403,
-0.23129546642303467,
0.874792754650116,
0.6209428310394287,
-0.706014096736908,
0.38144367933273315... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
--------
Question: Text: 6:40 Oo iyagu waxay fadhiisteen in kooxihii boqol boqol iyo konton konton ah.
Answer: Somali
Question: Text: Good luck aan iedereen.
Answer: Dutch
Question: Text: 19:9 (but this is only so if you will keep his commandments and do the things which I instruct to you this day, so that you love the Lord your God, and walk in his ways at all times) you shall add for yourselves three other cities, and so you shall double the number of the three cities stated above .
Answer: | English
| 7 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.16912642121315002,
0.7606265544891357,
0.5906463861465454,
-0.648552656173706,
0.05599932372570038,
-0.20731112360954285,
0.3715363144874573,
-0.33532077074050903,
-0.1556963324546814,
-0.31652015447616577,
-0.02660560980439186,
0.9155606031417847,
-0.741263747215271,
-0.3139535784721374... |
Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Input: Gujarati: સ્કોટલેન્ડમાં એક સાઇન સામે ઝઝૂમી રહેલા બાઇક.
English: A bike leaning against a sign in Scotland.
Output: | Yes | 3 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.10490362346172333,
0.5418775081634521,
-0.12819057703018188,
0.012710653245449066,
0.0735696330666542,
-0.8948382139205933,
0.2000834345817566,
0.19821180403232574,
0.5179643630981445,
-0.47683364152908325,
-0.0975746214389801,
1.2087464332580566,
-0.45277392864227295,
0.076642870903015... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Input: Consider Input: Context: Transcatheter aortic valve implantation (TAVI) without predilatation has fewer procedural steps and thereby potentially fewer complications. This has been demonstrated for the antegrade transapical access; however, whether TAVI can be safely performed without predilatation using the retrograde transfemoral route is unknown.', 'We postulated that TAVI is feasible with a balloon-expandable device without predilatation using the retrograde transfemoral route.', 'Twenty-six consecutive patients with stenosis of the native aortic valve (AV) undergoing transfemoral TAVI with the Edwards SAPIEN XT prosthesis without predilatation were enrolled in this retrospective study and compared with 30 patients treated previously with predilatation.', 'The procedure was successfully performed in all 26 patients, irrespective of the AV area and the extent of AV calcification. At baseline mean AV area, mean AV gradient, and median left ventricular ejection fraction were 0.7 ± 0.2 cm(2) , 36.0 ± 17.3 mm Hg, and 55.0% (interquartile range [IQR], 35.0-60.0], respectively; prior to discharge these values were 1.7 ± 0.3 (P < 0.001), 9.8 ± 6.1 mm Hg (P < 0.001), and 57.5% (IQR, 38.7-60.0) (P = not significant). Postdilatation was required in 3 patients due to aortic regurgitation > 2°; this was reduced by the procedure to < 2° in all cases. Radiation dose and amount of contrast dye were significantly reduced in comparison with the predilatation group. No periprocedural neurological adverse events occurred. Mortality at 30 days was 0%.
Answer: TAVI without predilatation using the transfemoral Edwards SAPIEN XT valve is feasible and safe. Larger studies are required to further evaluate this approach.
Output: Is transfemoral aortic valve implantation of Edwards SAPIEN XT without predilatation feasible?
Input: Consider Input: Context: The fruits of Vitex rotundifolia L. are widely used to treat inflammation of the airway in Traditional Chinese medicine. Previous studies found that casticin, isolated from Vitex rotundifolia, could induce apoptosis of tumor cells. In this study, we evaluated the anti-inflammatory effects of casticin and its underlying molecular mechanism in lipopolysaccharide (LPS)-stimulated macrophages.', 'RAW264.7 cells were pretreated with various concentrations of casticin (0.3-10μM), and then treated with LPS to induce inflammation. We assayed the levels of proinflammatory cytokines and prostaglandin E2 (PGE2) using ELISA, and examined the protein expression of inducible nitric oxide synthase (iNOS), cyclooxygenase (COX)-2, and heme oxygenase (HO)-1 by Western blot. We also investigated the anti-inflammatory molecular mechanism by analyzing inflammatory-associated signaling pathways, including the nuclear transcription factor kappa-B (NF-κB) and mitogen-activated protein kinase (MAPK) pathways.', 'We found casticin inhibited the levels of nitric oxide and PGE2, and decreased the production of proinflammatory cytokines such as interleukin (IL)-1β, IL-6, and tumor necrosis factor α (TNF-α). In addition, iNOS and COX-2 expression levels were suppressed and casticin increased HO-1 and Nrf2 production in a concentration-dependent manner. Furthermore, casticin significantly inhibited NF-κB subunit p65 proteins in the nucleus and decreased Akt and MAPK activation.
Answer: These results suggest that the anti-inflammatory effect of casticin is due to inhibition of proinflammatory cytokines and mediators by blocking the NF-κB, Akt, and MAPK signaling pathways.
Output: Does casticin inhibit COX-2 and iNOS expression via suppression of NF-κB and MAPK signaling in lipopolysaccharide-stimulated mouse macrophages?
Input: Consider Input: Context: Sentinel lymph node biopsy (SLNB) before mastectomy and immediate breast reconstruction (IBR) may help to avoid the negative cosmetic effects of radiotherapy on reconstructed breasts in lymph node-positive patients. Concerns have been raised regarding possible delays whilst awaiting the SLNB result prior to definitive surgery, which needs to be performed within 31 days of cancer diagnosis. The aim was to investigate whether initial SLNB delays mastectomy and IBR.', 'All patients who had IBR between January 2005 and 2007 were reviewed retrospectively. Before October 2005 axillary staging was performed simultaneously with mastectomy and IBR (Group I). After October 2005, SLNB was performed as an initial procedure and patients with positive SLNB were only offered a temporary tissue expander to be replaced by autogenous reconstruction after completing the cancer treatment (Group II). Date of diagnosis and waiting times were recorded and the two groups were compared. Different reasons for delays in treatment were studied.', 'One hundred and thirty-nine IBR (123 patients) were included in the statistical analysis (67 IBR in Group I and 72 IBR in Group II). Seventy-one patients (57.7%) had no delay (mean waiting time of 23 days). Fifty-two patients (42.3%) had delay longer than 31 days (mean waiting time of 66 days). Group I patients had a mean waiting time (standard deviation) of 38.8 (38) days and Group II patients 42.7 (24) days (p = 0.51).
Answer: In this group of patients, SLNB before mastectomy and IBR does not significantly delay definitive breast cancer surgery.
| Output: Does sentinel lymph node biopsy before mastectomy and immediate breast reconstruction significantly delay surgery in early breast cancer?
| 2 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
1.1416423320770264,
0.10435241460800171,
-0.7539912462234497,
0.8735849857330322,
0.6487606763839722,
-0.46661460399627686,
1.1565139293670654,
0.815787136554718,
0.06363578885793686,
0.4629688262939453,
-0.30196213722229004,
-0.03291166573762894,
-0.36872175335884094,
0.5526068210601807,
... |
Q: In this task, you are given a sentence in the Japanese 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).
ＥFFはＡT＆Ａが加入者の通話記録とインターネット使用記録を含む２つのデータベースを渡したと主張している。
A: | The EFF claims that AT&;T turned over 2 databases consisting of their subscribers' communication and internet usage records. | 7 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.11514192819595337,
0.09217497706413269,
0.5061450004577637,
-0.8318454027175903,
0.2521471381187439,
-0.6574238538742065,
0.32576829195022583,
0.6398479342460632,
0.002910580486059189,
-0.32303059101104736,
0.03222843259572983,
0.18344983458518982,
-0.6241922378540039,
-0.112059652805328... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: במילים אחרות, קצב הגידול הוא מעריכי.
Output: | つまり上昇率は指数関数のように増加します | 2 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.654202401638031,
0.2656095623970032,
0.1302735060453415,
0.03442087024450302,
-0.17638912796974182,
0.26772168278694153,
0.6207542419433594,
0.039744362235069275,
0.4184328615665436,
-0.5615523457527161,
-0.9574295282363892,
-0.12179248034954071,
-0.513710618019104,
0.6880102157592773,
... |
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, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. 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 looking for a new home<sep>Tail: none
Output: | Yes | 3 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.08986929804086685,
0.21012309193611145,
0.30341753363609314,
-0.1256132274866104,
-0.20994700491428375,
-1.1746952533721924,
1.1623508930206299,
0.5821990966796875,
-0.7100565433502197,
-0.42399895191192627,
-0.05078723654150963,
-0.2992139756679535,
-0.7821877002716064,
0.3047156631946... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Example: She shone her light around the space, following the glow of the flashlight's ray along the walls.
Output: Past
The verb "shone" is in past tense.
New input case for you: She opens her eyes and smiles a little.
Output: | Present | 1 | NIv2 | task429_senteval_tense | fs_opt | [
-0.4123021066188812,
0.9748852849006653,
0.34449565410614014,
0.0022911846172064543,
0.36846309900283813,
0.36612266302108765,
0.3801365792751312,
1.2071332931518555,
0.47952359914779663,
-0.18144378066062927,
-0.4001391530036926,
-0.18305209279060364,
-0.10445734858512878,
-0.328694999217... |
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 woman on a bed wearing a rope covering'. Count the number of vowels in the given sentence.
A: | 15 | 7 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.24656309187412262,
1.0577105283737183,
-1.187126874923706,
-0.4725000858306885,
-0.40736496448516846,
-0.4372796416282654,
-0.060955192893743515,
0.9141274094581604,
-0.14032703638076782,
-0.44261085987091064,
-0.7177958488464355,
0.10514025390148163,
0.01070095133036375,
-0.731242537498... |
Detailed Instructions: This task is to translate the Telugu Language Input to English Language Output
See one example below:
Problem: నేను వీడియో చేస్తున్నాను
Solution: I am making a video.
Explanation: Both the sentences says the same meaning in different languages, so it is a correct translation.
Problem: నేను చెవిపోగులు రకమైన అందమైన ఆభరణాలు మీ చేతుల్లో వారిని పట్టుకుని మరియు నేను ఇటీవల ఈ అర్థం ఏమి అమ్మిన బంగారు చెవిపోగులు తో వచ్చేలా చూడండి కొనుగోలు చేసే కలలుగన్న?
Solution: | I dreamed that I buy earrings kind of beautiful jewelry hold them in your hands and see myself with gold earrings, which I recently sold what this could mean? | 4 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.11251744627952576,
0.6683838367462158,
-0.07407733052968979,
0.5677181482315063,
-0.1571512520313263,
-0.2343774288892746,
-0.391266793012619,
0.9175342321395874,
-1.118147373199463,
-0.4958193004131317,
0.06857261061668396,
-0.1088254302740097,
-0.19239991903305054,
-0.4900019764900207... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected.
Example solution: Michel Temer: Brazil's arrested former president
Example explanation: The output is a relevant title for the given passage as it highlights the main crux of the given text.
Problem: New Zealand's parliament has voted to ban military-style semi-automatic weapons following the Christchurch attacks.
| Solution: Christchurch shootings: New Zealand MPs vote to change gun laws | 5 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.2450113594532013,
1.0198922157287598,
-0.1848250925540924,
-0.374952495098114,
0.10588329285383224,
-0.42305293679237366,
0.046037279069423676,
0.46276143193244934,
-0.3022400140762329,
0.46303749084472656,
-0.6079962849617004,
0.1398707628250122,
-0.5712447762489319,
0.0460316240787506... |
Given a sentence, generate a new 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: You often clip a tree in a suburban area .
Example Output: You often spray a tree in a suburban area .
Example Input: If you want to maintain good willpower then you should eat little meat .
Example Output: If you want to maintain good health then you should eat little meat.
Example Input: You would treat the truth because you want to seek facts .
Example Output: | You would filter the truth because you want to mislead facts .
| 3 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.097532257437706,
0.7330443859100342,
0.15202730894088745,
-0.2824280858039856,
0.04788365215063095,
-0.7489138841629028,
0.01419198140501976,
0.9802387952804565,
-0.38854601979255676,
-0.2024209201335907,
-0.8717615008354187,
-0.106025330722332,
-0.45527833700180054,
-0.0144167738035321... |
In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Ex Input:
She's an irish immigrant who helped with woman's rights,debra.Off to the barber's shop.
Ex Output:
She's an Irish immigrant who helped with women's rights, Debra.
Ex Input:
that good to know dear, have you heard of gez boland?
Ex Output:
That good to know sir, have you heard of Gez Boland?
Ex Input:
Cool sis, I love to dress as catdog since I have both as pets!!!
Ex Output:
| Cool, I love to dress as catdog since I have both as pets!!!!
| 1 | NIv2 | task1669_md_gender_bias_text_modification | fs_opt | [
-0.3851497173309326,
0.8860622644424438,
-0.5333071351051331,
0.23479041457176208,
0.21370315551757812,
-0.4521200656890869,
0.49263429641723633,
0.14731310307979584,
0.7334672212600708,
-0.3106536865234375,
-1.219064474105835,
0.15746334195137024,
-0.7697579860687256,
-0.6817378401756287,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
One example is below.
Q: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
A: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar.
Rationale: The Arabic sentence is correctly translated into Spanish, because the meaning is preserved.
Q: أترون ، أي شيء يستخدم الكثير من الطاقة سيُنتج حرارة ، ونحنُ لا نلاحظ ذلك.
A: | Cualquier cosa que usa gran cantidad de energía produce calor, pero eso no observamos. | 9 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.18014752864837646,
0.5695881247520447,
-0.5266218185424805,
-0.3494536280632019,
-0.5694370269775391,
-0.5538877844810486,
0.8961868286132812,
0.6566941738128662,
0.42937758564949036,
-0.1420307457447052,
0.06816492974758148,
0.1634829044342041,
-0.5571568012237549,
0.1222946047782898,
... |
Given the task definition, example input & output, solve the new input case.
Given a passage, write a short incorrect summary based on the passage.
Example: four east timorese youths who scaled the french embassy 's fence here thursday , left the embassy on their way to portugal friday .
Output: UNK latest east javanese asylum seekers leave for peru
The example is correct, as the location names are different from the passage
New input case for you: thor hushovd won the first stage at the dauphine libere on monday , while six-time tour de france champion lance armstrong finished in the chasing pack .
Output: | london share prices close up | 1 | NIv2 | task1579_gigaword_incorrect_summarization | fs_opt | [
0.5011656284332275,
0.6136258840560913,
-0.34899038076400757,
0.23373781144618988,
-0.12023533135652542,
-0.20921477675437927,
0.04678548499941826,
0.045572321861982346,
-0.11757729947566986,
0.13598906993865967,
-0.4893947243690491,
0.5261335372924805,
-0.16808807849884033,
-0.24160103499... |
Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Input: Sentence: 'a white and yellow biplane on water next to dock'. Reverse all words of length '2' in the given sentence.
Output: | a white and yellow biplane no water next ot dock | 3 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.8480201959609985,
0.5074413418769836,
-0.2081759124994278,
-0.9919112324714661,
-0.30270177125930786,
-0.0576859712600708,
0.36855462193489075,
0.6453269720077515,
0.2786828875541687,
-0.2987716495990753,
-0.8320821523666382,
-0.26819509267807007,
-0.26372721791267395,
-0.09999321401119... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
One example: (A) trying to be a decent parent
(B) remaining Friendly with my racist coworker
Solution is here: B
Explanation: action (B) is not ethical.
Now, solve this: (A) thinking that a girl that texts about her boobs being big doesn't necessarily want me/like me
(B) hoping my deceased uncle left me money in his will
Solution: | B | 6 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.27393221855163574,
0.33288437128067017,
0.7803986668586731,
-0.2644408345222473,
-0.5028563737869263,
-0.17338602244853973,
0.021032672375440598,
0.5787400007247925,
-0.04324239492416382,
0.38896578550338745,
-0.03707284480333328,
-0.2755403518676758,
0.35389113426208496,
-1.11664414405... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: جميعكم تفعلون ذلك. فلا تتوقفوا.
A: | Non smettete mai di farlo. | 9 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.0050813257694244385,
0.6414228677749634,
-0.36315059661865234,
-0.26591363549232483,
-0.9473729133605957,
0.3220112919807434,
0.20130325853824615,
0.6195153594017029,
0.7547286748886108,
-0.6540619134902954,
-0.6272574067115784,
-0.07590888440608978,
-0.030697159469127655,
0.318160772323... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
In the coal sector, for sale of coal, 100 FDI under automatic route for coal mining,activities including associated processing infrastructure will attract international players to create an efficient and competitive coal market.
Output: | ਕੋਲਾ ਖੇਤਰ ਵਿੱਚ ਕੋਲੇ ਦੀ ਵਿਕਰੀ ਲਈ ਕੋਲਾ ਖਨਨ, ਇਸ ਨਾਲ ਸਬੰਧਿਤ ਪ੍ਰੋਸੈੱਸਿੰਗ ਯਾਨੀ ਪ੍ਰੋਸੈੱਸਿੰਗ ਬੁਨਿਆਦੀ ਢਾਂਚੇ ਵਿੱਚ ਸਵੈਚਾਲਿਤ ਮਾਰਗ ਤਹਿਤ 100% ਐੱਫਡੀਆਈ, ਇੱਕ ਕੁਸ਼ਲ ਅਤੇ ਪ੍ਰਤੀਯੋਗੀ ਕੋਲਾ ਬਜ਼ਾਰ ਲਈ ਅੰਤਰਰਾਸ਼ਟਰੀ ਕੰਪਨੀਆਂ ਨੂੰ ਆਕਰਸ਼ਿਤ ਕਰੇਗਾ। | 1 | NIv2 | task1007_pib_translation_english_punjabi | zs_opt | [
-0.37711119651794434,
0.7153737545013428,
0.14948095381259918,
-0.3289976119995117,
0.03328891843557358,
-0.06643874943256378,
0.8861129879951477,
0.3137156367301941,
0.3013424873352051,
1.0082871913909912,
-0.5491686463356018,
-0.2037074863910675,
-0.5121872425079346,
0.352387398481369,
... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
One example is below.
Q: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
A: What does Tracy need to do before this?
Rationale: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
Q: Context: Sasha open robins account so she could pay off her debt.
Answer: helpful
A: | How would Sasha feel afterwards? | 9 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.48438096046447754,
0.8519139289855957,
0.35157033801078796,
-0.03417520970106125,
-0.3850172162055969,
-0.7976734638214111,
0.6558027267456055,
0.0037648153956979513,
0.7213472723960876,
0.21743088960647583,
-0.24001288414001465,
0.36362335085868835,
-0.7690567374229431,
0.02927901223301... |
Detailed Instructions: You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal meaning does not make sense.
Problem:The link you clicked needs the sidebar extension to be installed.
Solution: | તમે ક્લિક કરેલ કડીને બાજુપટ્ટી એક્સટેન્સન સ્થાપિત થયેલ હોય એની જરૂર છે. | 8 | NIv2 | task1350_opus100_translation_en_gu | zs_opt | [
-0.7371816635131836,
0.4087429642677307,
-0.2917540967464447,
-0.37689536809921265,
0.14851818978786469,
-1.16145658493042,
0.8167280554771423,
-0.09873133897781372,
-0.5131659507751465,
-0.31933605670928955,
-0.4851979613304138,
0.10464860498905182,
-1.024737000465393,
0.24989446997642517... |
Instructions: This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sentence and the output is the identified subject of that sentence.
Input: Jan Urfer finished in fifth.
Output: | Jan Urfer | 3 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.34585145115852356,
0.4114035367965698,
-0.3515026569366455,
-0.44385164976119995,
-0.09728637337684631,
0.3409176468849182,
0.49218034744262695,
0.2133384644985199,
0.597596287727356,
-0.27726638317108154,
-1.350529432296753,
0.016176823526620865,
-0.8321554660797119,
0.3097988963127136... |
Q: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
@Lustig Andrei, Mulțumesc, Lustig.
A: | @Lustig Andrei, Thank you, Lustig. | 7 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.7055274248123169,
1.279125452041626,
0.7883418798446655,
-0.8610321283340454,
-0.8228786587715149,
-0.7655915021896362,
-0.013356591574847698,
-0.3066433072090149,
1.0589747428894043,
-0.36530882120132446,
-0.23281948268413544,
-0.20226745307445526,
-0.7624646425247192,
0.30653458833694... |
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 Persian. Your job is to translate the Farsi sentence into Arabic.
و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Solution: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Why? The Farsi sentence is correctly translated into Arabic, because the meaning is preserved.
New input: "" شهرها طاعون سلامتی ، آزادی و اخلاقی انسان هستند.
Solution: | "" المدن طاعونية للصحة ، للحريات ، و للآداب العامة للانسان. | 0 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.06472055613994598,
0.6034631729125977,
-0.5156315565109253,
-0.8136203289031982,
0.0847378745675087,
-0.23884858191013336,
1.4028218984603882,
0.055129967629909515,
-0.0489351786673069,
-0.20005813241004944,
-0.8676900863647461,
0.453186571598053,
-0.4560040235519409,
0.2103335261344909... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
One example is below.
Q: Pointing out that world over, thousands of innocent people were being killed and still the world community, the Vice President opined that without attaining peace, progress would have no meaning
A: اس دنیا سے زیادہ اشارہ کرتے ہوئے، ہزاروں معصوم افراد کو ہلاک کر دیا گیا اور اب بھی عالمی برادری، نائب صدر نے کہا کہ امن حاصل کرنے کے بغیر، ترقی کا کوئی مطلب نہیں ہوگا
Rationale: Correct translation for given sentence. Input sentence means 'Pointing out that world over, thousands of innocent people were being killed and still the world community, the Vice President opined that without attaining peace, progress would have no meaning' which is the same as the output sentence.
Q: During inspections, wherever it is found that the distributors are not adhering to the given instructions or non-compliance of given instructions, suitable action under MDG is taken against such defaulting distributors.
A: | 4۔ تیل تیار کرنے والی کمپنیوں کے افسر مذکورہ اقدامات کی نگرانی کے لئے لگاتار گاہکوں سے رابطہ کریں اور تقسیم کاری کا جائزہ لیں۔ جہاں کہیں یہ پایا جائے کہ تقسیم کار ہدایتوں پر عمل نہیں کررہے ہیں یا دی گئی ہدایتوں پرکام نہیں کررہے ہیں تو ایسے خاطی تقسیم کاروں کے خلاف ایم ڈی جی مناسب کارروائی کی جائے۔ | 9 | NIv2 | task1057_pib_translation_english_urdu | fs_opt | [
-0.38402289152145386,
0.6978744864463806,
-0.14353324472904205,
0.02458578534424305,
0.12385857105255127,
-0.9124383926391602,
0.18281149864196777,
0.0625176876783371,
-0.16594228148460388,
-0.08898164331912994,
-0.6545769572257996,
-0.3041941225528717,
-0.5473308563232422,
0.2879174947738... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
[EX Q]: El logro de la virtud cívica esta ligada al mas grande desafío de los usos del intelecto y la imaginación.
[EX A]: Osiągnięcie obywatelskiej cnoty jest powiązane z używaniem intelektu i wyobraźni na najwyższym poziomie.
[EX Q]: Creé el CAO para contestar las preguntas que resultan mucho más difíciles de contestar desde puntos favorable, como desde la tierra o desde sensores satelitales.
[EX A]: Stworzyłem CAO, aby odpowiedzieć na pytania trudne do rozwiązania z każdej perspektywy, takiej jak ziemia, czy czujniki satelitarne.
[EX Q]: En todos mis juegos de autos, he manejado un total de 31.459 millas
[EX A]: | We wszystkich moich symulatorach jazdy przejechałem 31459 mil.
| 6 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-1.3405683040618896,
0.43020451068878174,
0.4501623213291168,
-0.4609628915786743,
-0.6696824431419373,
-0.5596153736114502,
0.8007212281227112,
-0.46751150488853455,
0.2809198498725891,
-0.6021157503128052,
-0.1733405590057373,
0.12915509939193726,
-0.16988211870193481,
-0.049044117331504... |
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 Farsi.
Hay un receptor.
| یک گیرنده داریم. | 5 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.19806542992591858,
1.024069905281067,
0.030625715851783752,
-0.28726208209991455,
-0.2008775770664215,
-0.05631669610738754,
0.16830220818519592,
0.657953143119812,
0.18115976452827454,
-0.1556788980960846,
-0.7865288257598877,
0.3786103129386902,
-0.19505298137664795,
0.081663496792316... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
[Q]: Now, we've all seen a lot of TEDTalks online, so let's watch one now with the sound turned off and the closed captioning turned on.
[A]: כולנו ראינו הרבה מאוד הרצאות TED באינטרנט, אז בואו נצפה באחת ללא קול ועם כתוביות.
[Q]: I mean, astounding; no one has this.
[A]: זה מדהים; לאף אחד אין דבר כזה.
[Q]: But there's a more fundamental reason that it's not intrinsically upbeat, because a non-zero-sum game, all it tells you for sure is that the fortunes will be correlated for better or worse.
[A]: | אבל יש סיבה בסיסית יותר שזה לא לגמרי עדכני באופן המהותי, מפני שמשחק סכום לא אפס, כל מה שזה אומר לכם בבטחון זה שהמזל יהיה מתואם לטוב או לרע.
| 5 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.5123108625411987,
0.7278079390525818,
-0.05729708820581436,
-0.20448023080825806,
-0.5710635185241699,
0.15317100286483765,
0.8286385536193848,
0.2916877269744873,
0.5227581262588501,
0.07136218249797821,
-0.12878161668777466,
0.3961900472640991,
-0.7390502691268921,
-0.2789691984653473... |
You are given a sentence and your task is to generate another sentence that supports the given input.
Hereditary information is contained in genes, located in the chromosomes of each cell.
A cell’s chromosomes contain genes.
The significance of these changes lies in the demonstration that they were associated with the release of calcium ion, which as a 'second messenger', was proposed in turn to activate systems that direct development of the early stages of the parasite (94).
Calcium ion is an example of a second messenger.
the answer is elusive, because humans have a unique ability to manipulate their environment and expand its supporting capacity through technology and trade.
| Humans are unique in their ability to alter their environment with the conscious purpose of increasing carrying capacity, which acts as a limiting factor on populations in general.
| 0 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
-0.15733617544174194,
0.15641643106937408,
-0.469721257686615,
-0.3158407509326935,
-0.36326032876968384,
-1.3458163738250732,
0.13108456134796143,
0.5273336172103882,
-0.46868896484375,
-0.5644992589950562,
-0.2340947687625885,
0.019488615915179253,
-0.6641694903373718,
0.1666498929262161... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
しませんよね電球の開発を根拠にトーマス・エジソンを称えるでしょう | Non. Eloxiamos a Thomas Edison por inventar a lámpada. | 0 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.20767450332641602,
0.5344126224517822,
0.025921203196048737,
-0.6090949773788452,
-0.09429885447025299,
-1.5824666023254395,
0.15365301072597504,
-0.07442118972539902,
0.209010049700737,
-0.7346332669258118,
0.3305794894695282,
0.6607717275619507,
-0.5299530029296875,
-0.430044591426849... |
instruction:
In this task, you are given a question. You have to answer the question based on your information.
question:
Bob Hayes is the second Olympic gold medalist to be inducted to the Hall of Fame, after what member of the Sac and Fox Nation
answer:
Jim Thorpe
question:
Works by what man, who was part of the duo Simon & Garfunkel, were included in the 1967 Joan Baez album, Joan?
answer:
Paul Frederic Simon
question:
Billy Henry played for Manchester City and which other current Premier League club?
answer:
| Leicester City
| 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
0.7437065839767456,
0.753395676612854,
-0.8220922350883484,
0.2721865177154541,
0.7138129472732544,
-1.1707593202590942,
0.6629971861839294,
-0.6806268095970154,
0.4465193748474121,
-0.0703096091747284,
-0.3996945023536682,
0.6031326651573181,
-0.5186561346054077,
-0.6321967840194702,
0.... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Recuerden, fue el año anterior al invento del iPod.
A: | به خاطر بیاورید این سال قبل از ان بود که iPod اختراع شود. | 7 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
0.08891726285219193,
1.5666308403015137,
-1.0084302425384521,
-0.09228238463401794,
0.11338008940219879,
-0.8255943059921265,
0.18389703333377838,
0.8766905069351196,
0.8333867788314819,
-0.2684643566608429,
-0.35151615738868713,
-0.020843304693698883,
-0.4424995481967926,
-0.5756294727325... |
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, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. 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.
[EX Q]: Head: PersonX also loved ___<sep>Tail: agreeable
[EX A]: No
[EX Q]: Head: PersonX becomes PersonY object<sep>Tail: is smothered
[EX A]: No
[EX Q]: Head: PersonX acts weird<sep>Tail: creepy
[EX A]: | No
| 6 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.10934337973594666,
-0.13710737228393555,
0.34600672125816345,
-0.09303027391433716,
-0.2571643590927124,
-1.1390535831451416,
1.4863332509994507,
0.44690242409706116,
-0.7242874503135681,
-0.4510877728462219,
-0.3403940200805664,
-0.1936742663383484,
-0.8776592016220093,
0.43895691633224... |
Teacher: You are given a statement written in Bengali. 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 .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর্মরত একজন চীনের নাগরিককে দেশে দ্বাদশ করোনার রুগী হিসেবে নিশ্চিত করা হয়। জাপানে করোনায় আক্রান্ত একজন রুগীকে দেখতে গিয়ে তিনি নিজে আক্রান্ত হয়ে পড়েন এবং ১৯শে জানুয়ারী রাজধানী সিওলের গিম্পো আন্তর্জাতিক বিমানবন্দর দিয়ে দেশে প্রবেশ করেন। ২শরা ফেব্রুয়ারী কোরিয়া রোগ নিয়ন্ত্রণ এবং প্রতিরোধ কেন্দ্র (কেসিডিসি) অতিরিক্ত তিনটি মামলা নিশ্চিত করার পরবর্তিতে আক্রান্তদের সংখ্যা মোট পনেরোতে এসে দাঁড়ায়।
Option A: সিঙ্গাপুর
Option B: ভিয়েতনাম
Option C: তাইওয়ান
Option D: জাপানে
Solution: জাপানে
Reason: The most suitable word from the given options to replace the <MASK> token is জাপানে, as the statement mentions that the person came from Japan .
Now, solve this instance: Statement: ইলিয়াস আহমেদ চৌধুরী (১৫ আগস্ট ১৯৩৪-১৯ মে ১৯৯১) যিনি দাদাভাই নামেও পরিচিত। বাংলাদেশ আওয়ামী লীগের একজন রাজনীতিবিদ, গণপরিষদের প্রাক্তন সদস্য ও সাবেক সাংসদ। তিনি ১৯৭০ সালের নির্বাচনে পূর্ব পাকিস্তান প্রাদেশিক পরিষদের সদস্য নির্বাচিত হন। এর পর ১৯৭৩ সালের প্রথম জাতীয় সংসদে ফরিদপুর-১৩ (বিলুপ্ত) আসন থেকে ও ১৯৯১ সালের পঞ্চম জাতীয় সংসদে <MASK> আসন থেকে সংসদ সদস্য নির্বাচিত হন।
Option A: মাদারীপুর-১
Option B: দত্তপাড়া
Option C: শিবচরের
Option D: দত্তপাড়ার
Student: | মাদারীপুর-১ | 2 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.1441577672958374,
0.22109723091125488,
-0.47279220819473267,
0.11422766745090485,
-0.12919023633003235,
-0.0686028003692627,
0.5703683495521545,
0.5700241327285767,
-0.00019319250714033842,
0.12341126054525375,
-0.2467900514602661,
1.2155251502990723,
-0.12946252524852753,
0.103392496705... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
10, 27, ['Y', 'Q', 'o', '9581', '2725', 'd', '8857', '1477', '2451', '8595', 'I', 'I', '4883', '3781', 'E', '9539', 'k', '1245', '6741', '2051', 'l', '5245', 'e', '6949', '4361', 'U', 'I', 'J', '7867', '991']
53390
4, 6, ['c', 'I', 'O', 'q', 'W', 'w', '7245', '4329', '3833', 'v', 'p', 'V', '5311', 'x', '3971', 't', '8157', '1803']
0
7, 16, ['P', 'T', '857', '9351', '3953', 'G', '9059', '4587', '7225', '2711', '2349', 'T', 'F', '3887', '1855', 'm', '7605', '5221', '5409']
| 31673
| 0 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.30347537994384766,
0.23277702927589417,
-0.7836248874664307,
-0.5076931118965149,
-0.2760390043258667,
-0.42592179775238037,
0.693420946598053,
0.503984808921814,
-0.7500861883163452,
0.12791958451271057,
-0.8959393501281738,
0.18250711262226105,
-0.34289151430130005,
0.0817141160368919... |
Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Input: Context : The Horse Fair is an oil on canvas painting by Rosa Bonheur, begun in 1852.
Question : What is the name of the place where The Horse Fair can be found?
Output: | collection | 3 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.21543678641319275,
0.12576192617416382,
-0.20620942115783691,
-0.2638416588306427,
-0.11781962960958481,
-0.34393006563186646,
-0.18978175520896912,
1.19423246383667,
0.3394530415534973,
-0.2666192352771759,
-0.5474681854248047,
-0.11407718807458878,
-0.019493937492370605,
0.15807114541... |
Given the task definition, example input & output, solve the new input case.
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic' or 'Asian'. Output 'None' if the tweet does not target any community. A tweet targets only one community.
Example: caucasians wearing masks to prevent coronavirus and still don ’ t wash their hands
Output: Caucasian
The tweet generalizes an attribute to the entire community, Caucasian, which makes it offensive.
New input case for you: japan does not have the problem of moslem terrorists rape gangs or negro gangsters ruining their country
Output: | African | 1 | NIv2 | task1503_hatexplain_classification | fs_opt | [
-0.048383165150880814,
0.38599109649658203,
0.20239335298538208,
0.4764910936355591,
-0.23165088891983032,
-0.29606178402900696,
-0.01246112585067749,
1.0289028882980347,
0.2849578261375427,
0.5382736325263977,
-0.22097930312156677,
0.10360965132713318,
-0.0016742512816563249,
-1.186321616... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
[Q]: Emily entered the master_bedroom. William entered the master_bedroom. The potato is in the blue_bathtub. Emily moved the potato to the green_cupboard. Phone rang. Where will William look for the potato?
[A]: green_cupboard
[Q]: Aria entered the playroom. Mia entered the playroom. The cucumber is in the red_crate. Mia exited the playroom. Aria moved the cucumber to the green_envelope. Where does Aria think that Mia searches for the cucumber?
[A]: red_crate
[Q]: Abigail entered the dining_room. William entered the dining_room. The grapes is in the red_drawer. William exited the dining_room. Abigail moved the grapes to the blue_box. Where will William look for the grapes?
[A]: | red_drawer
| 5 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
-0.3730953335762024,
-0.6510260105133057,
-0.11120054125785828,
-0.06550340354442596,
-0.5228686332702637,
-0.8869747519493103,
0.2756505012512207,
0.5770443677902222,
-0.046737149357795715,
0.18272605538368225,
-0.42764389514923096,
0.49669843912124634,
0.29063183069229126,
-0.10845784842... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
This product did NOT come with two USB's. The seller claims its supposed to... However, it does not. Also, once plugged into your USB port nothing happens...just sits there like it's connected but no connection.
| Bad review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-1.0747309923171997,
0.40105685591697693,
-0.1767493635416031,
0.25919756293296814,
-0.019635479897260666,
-0.0043652658350765705,
0.4862775504589081,
0.5313060879707336,
0.37244367599487305,
0.6550263166427612,
0.2581445574760437,
0.43815842270851135,
0.552422046661377,
-0.337897837162017... |
Teacher:This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
Teacher: Now, understand the problem? Solve this instance: The largest parks in the central area of London are three of the eight Royal Parks, namely Hyde Park and its neighbour Kensington Gardens in the west, and Regent's Park to the north. Hyde Park in particular is popular for sports and sometimes hosts open-air concerts. Regent's Park contains London Zoo, the world's oldest scientific zoo, and is near the tourist attraction of Madame Tussauds Wax Museum. Primrose Hill in the northern part of Regent's Park at 256 feet (78 m) is a popular spot to view the city skyline.
Student: | How many royal parks are located in the center of London? | 6 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.06624534726142883,
0.3335965573787689,
-0.3689766526222229,
-0.4997076094150543,
-0.006848092190921307,
-0.678909420967102,
-0.7045688629150391,
0.44616836309432983,
0.558966338634491,
-0.19369351863861084,
-1.1465418338775635,
-0.0587155818939209,
-0.8972060680389404,
-0.009774192236363... |
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 Hebrew. Your job is to translate the Hebrew sentence into Italian.
"" אף אדם אינו אי העומד בפני עצמו.
Solution: "" Nessun uomo è un'isola completamente a sé.
Why? The Hebrew sentence is correctly translated into Italian, because the meaning is preserved.
New input: ראיתי לנכון לתרגם לכם.
Solution: | Ho pensato di tradurre per voi. | 0 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.0165751613676548,
0.3839133083820343,
-0.07513618469238281,
-0.22198514640331268,
-0.19460353255271912,
-0.3631557822227478,
1.4229964017868042,
0.3394915461540222,
0.12627887725830078,
-0.6066340208053589,
-0.10417959094047546,
-0.08520045876502991,
-0.8119044303894043,
0.4938043057918... |
TASK DEFINITION: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
PROBLEM: 2, 7, ['3295', '2909', '8081', '8299', '8979', 'J', 'V', 'r', '2403', '5589', '6875', '9181', '6547', 'k', 'n']
SOLUTION: 28268
PROBLEM: 1, 15, ['t', '77', '6593', '3683', '5673', '9391', 'Y', 'A', '3273', '379', '6569', 'l', 'u', '8633', 'M', '8587', '3127', '5885', '4083']
SOLUTION: 44271
PROBLEM: 6, 8, ['f', 'q', 'v', '2979', 'p', 'r', '1537', '1385', 'z', 'y', '3763', 'o', 'p', '9961', '2571', '8293', 'd', 'd']
SOLUTION: | 2922
| 8 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.008559701032936573,
0.08299065381288528,
-0.4486379623413086,
-0.3380342721939087,
-0.2310042381286621,
0.29230570793151855,
0.1475839614868164,
0.42475396394729614,
-0.2922363579273224,
-0.1401320993900299,
-0.8064101934432983,
0.49165642261505127,
-0.2979294955730438,
-0.0959948897361... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: . گرفتمش
Output: | i got him. | 3 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.039570294320583344,
1.5082769393920898,
-0.3445005416870117,
-0.07261833548545837,
-0.4312257170677185,
-0.24033796787261963,
0.6393876671791077,
0.36947983503341675,
0.3973124027252197,
0.31307339668273926,
-0.7688952684402466,
-0.11673684418201447,
-0.1332854926586151,
0.7135477662086... |
Part 1. Definition
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Part 2. Example
È probabile che in futuro chiamerete una lista dei nomi.
Answer: E' probabile che troviate una carta dei vini al ristorante.
Explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
Part 3. Exercise
Giocheresti una casa con i tuoi uccelli perché aiuta la noia.
Answer: | Si limiterebbe un gioco con i tuoi amici perché impedisce il confronto. | 7 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.39090925455093384,
0.384488046169281,
-0.5752405524253845,
0.47594037652015686,
-0.23089344799518585,
-0.33827272057533264,
0.8539217114448547,
0.7627336978912354,
0.10247091948986053,
-0.8672884702682495,
-0.9547151327133179,
0.4855507016181946,
-0.26571667194366455,
0.2937773466110229... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Persian.
Teacher: Now, understand the problem? Solve this instance: And the great thing about it is that we've only given the software one instance of how he thinks about "" disappear. "" As there is a machine learning algorithm in this — (Applause) Thank you.
Student: | نکته اصلی در اینجا اینه که ما یک بار چگونگی فکر کردن دربارۀ "" ناپدید شدن "" رو به نرم افزار دادیم چون در اینجا یک ماشین یادگیرندۀ الگوریتم... (تشویق حضار) ممنون. | 6 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.8194769620895386,
0.3438554108142853,
0.3546544015407562,
-0.6426428556442261,
-0.09876784682273865,
-0.4200477600097656,
0.28912606835365295,
1.352354645729065,
0.49467718601226807,
0.34878116846084595,
-0.45455706119537354,
-0.4799203872680664,
-0.2239288091659546,
-0.0126594528555870... |
You will be given a definition of a task first, then some input of the task.
You are shown a random response (from a computer or a human). Generate a language query such that it leads to this reply.
That would be the El Shaddai, would you like to book there?
Output: | You are welcome. Have a lovely day. | 1 | NIv2 | task639_multi_woz_user_utterance_generation | zs_opt | [
-0.43881452083587646,
0.9209094047546387,
-0.05742766708135605,
-0.7298916578292847,
-0.5710383057594299,
0.36480385065078735,
1.193080186843872,
-0.41015446186065674,
0.5222036242485046,
-0.16523434221744537,
-0.56839919090271,
0.25563937425613403,
-0.5816495418548584,
0.18280960619449615... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: Un jet d'eau a été vu dans l'océan au large de la côte de quoi ?
Options: A sous-sol B floride C sink D plage E fontaine
A: | B | 9 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | zs_opt | [
-0.27400636672973633,
0.3414453864097595,
-0.8889673948287964,
-0.8333222270011902,
0.002753792330622673,
-0.35434380173683167,
0.02916160598397255,
0.5095095038414001,
0.3997161090373993,
0.3613584637641907,
0.29582393169403076,
-0.012072892859578133,
0.2124749720096588,
-0.68413150310516... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Ex Input:
Beginning: The children in Ann's class drew pictures of seahorses. Ending: Ann caught him, brought him back, and disciplined him.
Ex Output:
Ann caught a boy ripping the pictures.
Ex Input:
Beginning: Gina was at her grandma's in Illinois. Ending: Her and her friends may have fought a lot, but they were like family.
Ex Output:
Gina and her friends were arguing.
Ex Input:
Beginning: Dan was trying to show off to his girlfriend. Ending: It turned out to be badly broken.
Ex Output:
| Dan did a back flip and landed on the railing.
| 1 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.30077609419822693,
0.28832054138183594,
-0.29643917083740234,
-0.12319961935281754,
-0.5638716816902161,
0.17402540147304535,
-0.0524505078792572,
1.2776738405227661,
-0.5946854948997498,
-0.009897381067276001,
-0.3555013835430145,
0.08963537216186523,
-0.3042837381362915,
-0.1897968053... |
You will be given a definition of a task first, then some input of the task.
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i can offer the ball YOU: i'd be content with a ball and a book THEM: i can offer the ball and a hat, i need the books YOU: okay.
Output: | Yes | 1 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.41578614711761475,
0.5538100600242615,
-0.05031036585569382,
0.8865615129470825,
0.29047125577926636,
-0.546471357345581,
0.6837096214294434,
0.08311250805854797,
0.435820072889328,
-0.016821131110191345,
-0.06517111510038376,
-0.015269055962562561,
-0.3546784520149231,
-0.28812336921691... |
Given the task definition and input, reply with output. In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
[-72, 62, 96, -54, -82, 67, 77, 68, 55, -47]
| [-5.0, 79.0, 21.0, -68.0, -7.5, 72.0, 72.5, 61.5, 4.0] | 5 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.8420768976211548,
0.3535284996032715,
-0.6775774955749512,
-0.3970799446105957,
-0.020574383437633514,
0.45297783613204956,
0.36135783791542053,
0.3319600820541382,
0.07676681131124496,
-0.351048082113266,
-0.7220978736877441,
0.026905875653028488,
-0.01650957763195038,
0.43122678995132... |
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
Q: one of the biggest cliches of any serial killer film is also one of the most believable .
you know , the one where the detective looks at a wall of pictures and other police information , and suddenly spots the clue which reveals who the killer is .
sure , it 's been used over and over , but for some reason , it is always fun to watch .
this cliche pretty much describes the level kiss the girls works on : overused , but always fun .
one of my personal rules about watching a film is not how original the film is , but how it goes around giving its story .
this rule applies highly to kiss the girls .
there is something psychologically stimulating in a well - crafted serial killer movie , and kiss the girls is certainly well made .
however , the whole film screams of unoriginality , and so it relies on the power of its actors and the technical detail to pull it through .
well , not only are the actors capable of pulling it through , but they add so much to the film that nearly every flaw is covered up .
unfortunately , one of the most revealing and rather insulting choices by the filmmakers ( one that seven , a film a lot like this one , knew not to make ) was to put the name of the killer in the opening credits .
that may give the actor credit for the role , but throughout the film , hidden in my mind , i was waiting for him to appear on screen , which spoiled the mystery .
however , credit must be given to the director for suspending this knowledge through most of the film .
plotwise , kiss the girls shows almost no originality .
we are introduced to detective alex cross ( morgan freeman ) , a forensic psychologist , and immediately we are given the cliched scene establishing him as the hero .
he gets a call about a woman who has shot her husband and is now threatening to kill herself .
obviously cross succeeds at getting the gun , but this scene is quickly forgotten during the next scene .
at his house , cross is told that his neice , naomi ( gina ravera ) , has been missing for four days .
this provides the motivation for cross to find the killer , but we are never given a chance to establish the relationship between the two , and as a result , we ca n't sympathize with detective cross .
however , what makes kiss the girls slightly original is the introduction of one of the abductees .
. .
before she is abducted .
dr .
kate mctiernan ( ashley judd , the actress of the judd family )
is a smart , athletic woman , and because of these traits , becomes a target for casanova -- what the serial killer likes to call himself .
because of these character - developing scenes , we care for mctiernan , making the abduction scene all that more suspenseful .
after being abducted , mctiernan wakes up and finds herself in a cell somewhere in the woods .
remembering that the killer gave her certain rules , she decides to break one of them by calling out .
when casanova comes to punish her , she breaks out and escapes by jumping over a waterfall .
after she is found , she begins to help cross find his neice .
from this moment on , kiss the girls takes on the form of every other serial killer film , as the two leads search for the rest of the victims held captive .
many people will compare this film to 1995 's seven , another killer film starring morgan freeman , but i presume that the similarities are intentional .
the screenplay , by david klass , is adapted from the novel written by james patterson , and yet i do n't quite see how this story could have worked in novel form .
what makes kiss the girls so good is the acting and the technical and visual impressiveness .
the cinematography , by aaron schneider , is reminiscient of seven , and sometimes i felt that many of the shots were trying too hard to impress us .
sometimes a simple shot is the best one . however , many of the shots are stunning , and unlike seven , most of them take place during the day , in sunlight .
the scene when ashley judd is running through the forest is extremely well done , in more than one way .
the camera work is terrific , but the editing makes this scene work so well .
the chaotic and mtv - type cutting gives the audience a sense of confusion and unawareness , exactly what judd 's character is experiencing .
however , the best aspect of kiss the girls is its actors .
morgan freeman is one of today 's most powerful and believable actors .
detective cross is a very good character for him , although it is just a similar one to the character in seven .
because of freeman 's powerful presence , he carries half the film by himself .
the other half is carried by ashley judd ,
one of today 's most promising dramatic actresses .
in fact , her performance is better than freeman 's , if that is even possible .
her character is more original than freeman 's , and she handles it wonderfully .
we finally have a female character in a movie like this who does more than just scream .
the supporting cast is highly underdeveloped , but the cast members do as much as they can with it .
cary elwes portrays a cop in north carolina , and unfortunately has scraps for a character .
tony goldwyn fairs slightly better , but
we do n't really get to know his character either .
gina ravera gives a good performance , but again she is n't in many of the scenes .
so as a result of all these small supporting parts , the weight of the film lies on the two leads , and they do a phenomenal job .
some of the best acting of this genre , and some of the best acting of the year .
two other essential aspects of the film are quite good .
director gary fleder does a good job of controlling his actors , but the second half of the film loses believability , especially during the revelation of the killer .
he also does n't handle the suspenseful scenes as a better director would have , losing a lot of tension during many scenes . however , to his credit , he does manage a terrific first half .
part of the blame falls on david klass .
i 'm sure the book developed many of the lesser characters more , but klass focuses on the two main parts .
while this may give the two leads more screentime , many of the small characters are one - dimensional , and the killer , when revealed , is extremely implausible .
thanks to the smart dialogue adapted from the novel , kiss the girls
always seems intelligent .
none of the conversations are laughable , and all move the plot forward without seeming forced .
one of the biggest problems i had with the movie was the motive of the killer .
i blame this mainly on the casting director , because the killer 's motive is because of rejection from women ( or so i assume from the opening monologue ) , but the killer himself is very attractive ( one of my friends is a , shall we say , big admirer of the killer ) .
kiss the girls is rated r for terror , violence , language , and suggested sex .
with all the implausibilities of this film , and with the mediocre second half , kiss the girls somehow manages to thoroughly entertain
.
in fact , i had the urge to see it again just for the performances .
the cinematography adds a lot of mood to the already creepy tone , and the script is usually smart .
this is clearly one of those movies which rely on the acting to pull it through .
morgan freeman is possibly today 's most convincing actor , and ashley judd adds another notch on her acting belt .
i must also say that i loved the ending .
the showdown between good and evil was quite tense , and the resolution of the scene makes almost anyone cheer .
perhaps it may not be possible , but most of the film is n't anyway .
A: P
****
Q: plot : a young man who loves heavy metal music and especially the band steel dragon , to whom he 's devoted a tribute band in which he sings , gets launched into stardom when the real group get rid of their lead singer and call on him to take his place .
critique : i 'm a sucker for movies like this .
a young man with a humble background and lofty dreams , works hard , devotes the time , the energy and the patience , and ultimately hits it big - time .
in the case of this film , our boy loves a certain heavy metal band and as luck would have it ( yup , luck always finds its way into these types of equations , although generally tied very closely to hard work ) , they need a new singer .
his entry and adaptation to the whole " rock ' n roll " lifestyle fills the rest of the film and is really fun to watch .
although i will preface this by saying that one thing that would definitely enhance your appreciation for this film is your own love ( or past love ) of heavy metal music and the whole scene around it .
metal was one of my first loves as a teen and even though the genre of music is n't that prominent anymore , i still check out my motley crue , twisted sister and anthrax cds every now and again .
that 's not to say that you wo n't like this film if you do n't like the music , but the music and live performances from the band , play a big part in the movie , and i for one , had a blast watching and listening to it all .
but the even greater draw in this film is the standout performance given here by mark wahlberg .
wow , hand this fella some major props , as he totally becomes this heavy metal geek / god ( incidentally , metal god was the film 's original title , and a much better one if you ask me ) .
he is this movie and
i was quite taken by his character pretty much the whole way through .
he came off like a regular guy with extremely passionate goals and work ethic , who was willing to do anything in order to fulfill his dreams .
aniston was also surprisingly good as the girlfriend ( and the romance angle between them was sweet ) , but she did n't pull me in hard enough during their emotional scenes .
i was also impressed by some of the " real " musicians who played in the film ( zakk wylde from ozzy osbourne , jeff pilson from dokken , stephan jenkins from third eye blind , blas elias from slaughter ) , but actor dominic west as kirk cuddy made the biggest impression among the band members .
it 's to note that this film was based on a real - life tale of a young man who used to sing in a judas priest cover band and then went on to become their actual singer ( their original singer also admitted to being gay , as in this film ) .
just for the record , i 'm certainly not recommending this film for its originality or surprise elements , since most of this stuff has already been covered in some way or another in other movies , but because it 's a fun , uplifting , well - paced movie with a solid central showing by wahlberg and energetic live performances .
oh yeah ,
and for those who dig the " heavier " side of music , the soundtrack also rocks ! !
you see . . .
dreams can come true .
. .
where 's joblo coming from ? almost famous ( 8/10 ) - blow ( 8/10 ) - boogie nights ( 9/10 ) - detroit rock city ( 8/10 ) - girlfight ( 6/10 ) - goodfellas ( 10/10 )
A: P
****
Q: mighty joe young blunders about for nearly twenty minutes before we actually get to see a great big gorilla .
his entrance , however , is a grand one : out from the trees he leaps , gargantuan and imposing , sporting hands big enough to crush a volkswagen bug , and a pair of feet much larger than any pro basketball player will ever have .
joe bellows at the poachers before him , angry that they would like to kill him and sell him for millions of dollars .
during this scene , i turned to my friend and said , " wow .
that 's some ape .
"
joe is quite a gorilla -- a big , digital gorilla .
he runs around the fields , chasing cars and people .
he picks things up and stares at them pensively .
he breaks things on accident , because he 's just too big to avoid clumsiness .
joe , as a special effect , is an image that might hold your interest for five minutes . as a character , he does n't quite register .
and the story he 's been put in is as limp as they come .
the words " family entertainment " have never been a stamp of quality , but might joe young is just a silly special effects movie pretending to have a heart .
the picture is a remake of the 1949 film .
it 's mostly just about the big gorilla , but , strictly as a formality , the movie also has a few human characters .
the main one is jill young ( poor charlize theron , forced to waste her talent ) , a lover of gorillas . as a child , she witnessed a group of poachers murder her mother ; now , she lives in the jungle to protect the wildlife .
specifically , she 's out to protect joe , a giant gorilla who has been her friend since her childhood .
soon , zoologist gregg o'hara ( bill paxton ) discovers joe ; he quickly realizes that poachers want to get joe and sell him to a big game hunter named strasser ( rade sherbedgia ) , who just happens to be the same guy who killed jill 's mother .
so , in an effort to save joe , jill and gregg take the big gorilla to a preserve , where it is instantly clear that he is not safe from poachers .
in addition , the space is way too small for him ( after all , he is a really big gorilla ) .
and , to add to the complications , strasser shows up under a benevolent pretext ( he tells jill that he has a preserve big enough for joe ) , and joe recognizes strasser as the guy who killed jill 's mother .
jill , of course , does n't recognize strasser , even though he did kill her mother .
this is just one of the many examples of stupidity in mighty joe young , a film that fulfills every stereotype that comes with a special effects film .
the movie is n't really offensive -- it has some competent actors , a few nifty sets , and a lot of scenes with a big , digitized gorilla .
but the story is really dumb ,
there are n't any characters , and the film is n't satisfying on any level beyond its visuals .
the movie also has bad dialogue .
if a critic says that a film has bad dialogue , it 's only fair to quote some of it , but most of the words spoken in this picture are phrases like " joe is n't happy !
"
and " joe is n't safe here ! "
" we need to get joe out of here ! "
" joe is way too big for that cage !
"
i do n't know if these phrases are word for word , but they 're close .
as i said , the characters here are only present as a formality : they do little more than
state the obvious
( of * course * joe is too big for that cage ) .
paxton and theron are talented performers who deserve to work on a script that provides characters for them .
sadly , mighty joe young wastes them both .
there are a few clever moments ( although none of them are surfacing in my memory at the moment ) , and , as i said , the digital effects held my attention for at least five minutes .
it 's certainly not a bad film for kids ; i doubt joe will give them nightmares .
but adults in the audience are n't likely to find much of anything interesting about the big gorilla .
a big gorilla is only interesting for a little while ; after that , something needs to be done with the big gorilla .
nobody ever figures out what to do with the big gorilla .
A: | N
****
| 4 | NIv2 | task1361_movierationales_classification | fs_opt | [
0.3000487983226776,
0.10929930210113525,
-0.8756395578384399,
-0.27218031883239746,
0.7854337692260742,
-0.07083628326654434,
0.7332375049591064,
1.0858501195907593,
-0.34646838903427124,
0.09411224722862244,
-0.17705635726451874,
0.025570891797542572,
-0.6682897806167603,
-0.3534693717956... |
Teacher: In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant land. It is and imposed on the Possessor (not the custodian of property as per 1978, 44th amendment of constitution). It resembles the US-type wealth tax and differs from the excise-type UK rate. The tax power is vested in the states and is delegated to local bodies, specifying the valuation method, rate band, and collection procedures. The tax base is the annual rental value (ARV) or area-based rating. Owner-occupied and other properties not producing rent are assessed on cost and then converted into ARV by applying a percentage of cost, usually four percent. Vacant land is generally exempt. Central government properties are exempt. Instead a 'service charge' is permissible under executive order. Properties of foreign missions also enjoy tax exemption without requiring reciprocity. The tax is usually accompanied by service taxes, e.g., water tax, drainage tax, conservancy (sanitation) tax, lighting tax, all using the same tax base. The rate structure is flat on rural (panchayat) properties, but in the urban (municipal) areas it is mildly progressive with about 80% of assessments falling in the first two brackets.
Solution: is house tax and property tax are same
Reason: The question generated asks whether the house tax and property tax are the same and can be answered by reading the passage. Additionally, it has a binary answer and hence the generated question is correct.
Now, solve this instance: Death by natural causes -- A death by natural causes, as recorded by coroners and on death certificates and associated documents, is the end result of an illness or an internal malfunction of the body not directly caused by external forces, typically due to old age. This is especially true when an elderly person has several different conditions or diseases, but where it appears that none of them alone or together may clearly lead to the death, and it is uncertain which condition was the final factor causing death. Contrary to the statement before, everything is natural at some point. For example, a person dying from complications from influenza (an infection) or a heart attack (an internal body malfunction) or sudden heart failure would be listed as having died from natural causes. Health departments discourage listing old age as the cause of death because doing so does not benefit public health or medical research. Old age is not a scientifically recognized cause of death; there is always a more direct cause, although it may be unknown in certain cases and could be one of a number of aging-associated diseases.
Student: | can a young person die of natural causes | 2 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.6010982990264893,
0.410476416349411,
-0.5091137886047363,
-0.02963523380458355,
0.5496306419372559,
-0.9722146391868591,
1.1339385509490967,
1.125524878501892,
-0.23606416583061218,
0.35773274302482605,
-0.39935460686683655,
0.7790422439575195,
-0.5242422819137573,
0.09487377852201462,
... |
Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Input: Relationship: 'say of', Argument/Subject 1: 'obama', Argument/Subject 2: 'iran'
Output: | Obama also said Iran poses the greatest military threat to Israel . | 3 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.311792254447937,
0.32690122723579407,
0.33251166343688965,
0.15610051155090332,
-0.4926101863384247,
-0.498043417930603,
0.5607846975326538,
0.45568010210990906,
0.6536620855331421,
-0.39497286081314087,
-0.4235232472419739,
-0.3250550925731659,
-0.2047385573387146,
-0.06332812458276749,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Q: Pero esperen, esperen. Esperen.
A: | Ma aspettate, aspettate, aspettate. Aspettate. | 4 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.45799076557159424,
1.248307466506958,
-0.43908464908599854,
0.07187597453594208,
-0.3710562586784363,
-0.6812505125999451,
-0.190464049577713,
1.0235224962234497,
0.06618300825357437,
-1.0497992038726807,
-0.23211213946342468,
0.5746487379074097,
-0.08491968363523483,
0.2514817714691162... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Beginning: Sandy was eating a bag of chips. Middle 1: She set them up and went to the bathroom. Middle 2: She set them down and went to the bathroom. Ending: Sandy noticed that her chips were gone and became mad.
Output: | 2 | 1 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.3312578797340393,
0.733842670917511,
0.14428454637527466,
-0.23357726633548737,
-0.45587578415870667,
-0.268826961517334,
0.05026668310165405,
0.3129027783870697,
0.12199795991182327,
-0.328014612197876,
-0.4187620282173157,
-0.25674813985824585,
-0.22159534692764282,
-0.253558039665222... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: On 29 May 1999, Obasanjo was sworn in Link Information: On 29 May 1999, Obasanjo was sworn in Question: How old was the person elected in April 1999 when he was sworn in?
Output: | Answer: 62 | 1 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.08364689350128174,
0.7937656044960022,
-0.9929920434951782,
0.20034383237361908,
-0.16713166236877441,
-0.08685247600078583,
0.7527170181274414,
0.4337022304534912,
0.36879849433898926,
0.2336306869983673,
0.11766306310892105,
0.29793864488601685,
-0.2366948127746582,
0.11468051373958588... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
One example is below.
Q: We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin.
A: A Neural Local Coherence Model
Rationale: This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage
Q: The activation function of Deep Neural Networks (DNNs) has undergone many changes during the last decades. Since the advent of the well-known non-saturated Rectified Linear Unit (ReLU), many have tried to further improve the performance of the networks with more elaborate functions. Examples are the Leaky ReLU (LReLU) to remove zero gradients and Exponential Linear Unit (ELU) to reduce bias shift. In this paper, we introduce the Parametric ELU (PELU), an adaptive activation function that allows the DNNs to adopt different non-linear behaviors throughout the training phase. We contribute in three ways: (1) we show that PELU increases the network flexibility to counter vanishing gradient, (2) we provide a gradient-based optimization framework to learn the parameters of the function, and (3) we conduct several experiments on MNIST, CIFAR-10/100 and ImageNet with different network architectures, such as NiN, Overfeat, All-CNN, ResNet and Vgg, to demonstrate the general applicability of the approach. Our proposed PELU has shown relative error improvements of 4.45% and 5.68% on CIFAR10 and 100, and as much as 7.28% with only 0.0003% parameter increase on ImageNet, along with faster convergence rate in almost all test scenarios. We also observed that Vgg using PELU tended to prefer activations saturating close to zero, as in ReLU, except at last layer, which saturated near -2. These results suggest that varying the shape of the activations during training along with the other parameters helps to control vanishing gradients and bias shift, thus facilitating learning.
A: | Parametric Exponential Linear Unit for Deep Convolutional Neural Networks | 9 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
0.0036944253370165825,
0.3732457160949707,
-0.12537741661071777,
-0.6081380248069763,
0.11512672156095505,
-0.16741637885570526,
0.8943370580673218,
0.2197558432817459,
0.20663926005363464,
0.5227867364883423,
-0.3832389712333679,
-0.2136106789112091,
-0.7864357233047485,
0.156987607479095... |
Given the task definition and input, reply with output. In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
Remy decided enough was enough after only attempting the challenge once.
Question: How would you describe Remy?
| a failure | 5 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.346960186958313,
1.0794308185577393,
0.7181658744812012,
-0.4313129186630249,
-0.5759748220443726,
-0.030843611806631088,
0.3783707022666931,
0.43820738792419434,
0.24561940133571625,
-0.31220096349716187,
-1.0128120183944702,
0.19626963138580322,
-0.09325537085533142,
0.444500297307968... |
Detailed Instructions: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Problem:[-7.516, -27.047, 169.981, 240.547, 47.727, -60.631, 200.346, 189.238]
Solution: | [-0.01 -0.036 0.226 0.32 0.063 -0.081 0.266 0.251] | 8 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.24248415231704712,
0.23424968123435974,
-0.9596099853515625,
-1.249894380569458,
0.048420388251543045,
0.2601715326309204,
0.5838733911514282,
-0.15642563998699188,
-0.880278468132019,
-0.48416775465011597,
-0.9587908983230591,
0.6721011400222778,
-0.7160841226577759,
-0.189245790243148... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Example Input: ['4475', '1877', 'A', 'x', 'U', '2717', 'I', '81', '6803', '9585']
Example Output: 4475, 1877, 2717, 81, 6803, 9585
Example Input: ['v', 'g', '585', 'p', '6337', 'k', '8099', 'b', 'E']
Example Output: 585, 6337, 8099
Example Input: ['z', '5169', 'I', '9877', 'w', '1769', '2047', 'V', 't']
Example Output: | 5169, 9877, 1769, 2047
| 3 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.3533073663711548,
0.21900275349617004,
-0.8817535638809204,
-0.46520113945007324,
-0.020489012822508812,
-0.052117958664894104,
0.8955633640289307,
-0.18261229991912842,
-0.2446180135011673,
0.29991623759269714,
-0.8063337206840515,
-0.3832104206085205,
0.25561898946762085,
-0.024446737... |
Detailed Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Problem:Term: Robert Downey Jr., Description: American actor, Question: Did Robert Downey Jr. possess same caliber gun as Resident Evil's Barry Burton?, Answer:Yes
Solution: | Fact1: Robert Downey Jr. was arrested in 1996 n drug and weapons charges and possessed a .357 Magnum. Fact2: Barry Burton, a character in the Resident Evil series, used a Colt Python. Fact3: The Colt Python is a type of .357 Magnum revolver. | 8 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.11459381878376007,
0.4524434804916382,
0.1113460510969162,
0.4418082535266876,
0.16228686273097992,
-0.7652082443237305,
0.8518275618553162,
0.6026219129562378,
0.4919591546058655,
0.44732391834259033,
-0.04525067284703255,
0.46233153343200684,
-1.2188169956207275,
-0.40420001745224,
... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
One example is below.
Q: I declare resumed the session of the European Parliament adjourned on Friday 17 December 1999, and I would like once again to wish you a happy new year in the hope that you enjoyed a pleasant festive period.
A: Declaro reanudado el período de sesiones del Parlamento Europeo, interrumpido el viernes 17 de diciembre pasado, y reitero a Sus Señorías mi deseo de que hayan tenido unas buenas vacaciones.
Rationale: This English sentence is properly translated into Spanish because the Spanish sentence also talks about resuming the session from the European parliament which was adjourned and wishing a happy new year.
Q: What the stricken populations are waiting for now, those who have lost everything, particularly among those who made their living from the sea and from tourism, those people whose businesses have been compromised for several years to come, is not for the polluters to repair the damage they have caused, but for the gears to now be set in motion to ensure that their present misfortune serves to prevent similar crimes affecting other people in future.
A: | Lo que ahora esperan las poblaciones siniestradas, quienes lo han perdido todo, en particular entre los profesionales del mar y del turismo, aquellos cuya actividad está comprometida para varios años, es no sólo que los contaminadores reparen los daños que han causado, sino también que se haga todo lo necesario para que su desgracia actual sirva en el futuro a los demás para impedir la repetición de semejantes delitos. | 9 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
0.04025565832853317,
0.39710694551467896,
-0.21177834272384644,
0.20001797378063202,
0.1971847265958786,
-0.87900710105896,
0.18224860727787018,
0.9478276371955872,
-0.4115786850452423,
0.14865753054618835,
-0.08367685973644257,
0.6439859867095947,
-0.5769197940826416,
0.01256655715405941,... |
Given the task definition and input, reply with output. Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Ranipet nearing Vellore
| Not Hope Speech | 5 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.7118527293205261,
0.6782534122467041,
0.6830615997314453,
0.6434038877487183,
-0.6425671577453613,
-0.6198638677597046,
0.23600032925605774,
0.46409523487091064,
-0.4799024164676666,
0.13872359693050385,
-0.35786768794059753,
-0.03466978669166565,
-0.1568891406059265,
-0.296129703521728... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
4, 8, ['799', '3573', '9317', '1819', 'D', '4041', 'B', '8635', 'D', 'a', 'q', 'Q', 'F', 'd', '1359', 'J', 'K', '5235', 'p', 'p', 'S', '1999', '8401', 'X', '6197', '2235', 'B', 'a', '5845']
Output: | 14495 | 1 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
0.22399097681045532,
-0.08656111359596252,
-0.7626149654388428,
-0.4317193627357483,
-0.1364459991455078,
-0.29523947834968567,
0.7555720806121826,
0.35661008954048157,
-0.8767218589782715,
0.0868992879986763,
-0.7271844148635864,
-0.0023006610572338104,
0.3560975193977356,
-0.138096719980... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
[Q]: Sentence 1: William Bennett (NBC's Meet the Press ) contributes the overstatement of the weekend when he fuses the Chinese money story with the Indian Did the [Democrats'] frantic pursuit of money lead to the endangerment of the world through nuclear weapons? Sentence 2: William Bennett has been on NBC's Meet the Press for five years.
[A]: slate
[Q]: Sentence 1: Other benefits, such as a single mobilization, a single construction manager, and sharing of large construction equipment for the two projects exist, but they are not expected to make a significant difference due to the difference in size between the SCR and ACI portions of the combined project. Sentence 2: There is benefit to the shared components of a project with both SCR and ACI.
[A]: government
[Q]: Sentence 1: But let me reserve that for another day. Sentence 2: Let me save it for another year.
[A]: | slate
| 5 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.9984861612319946,
0.3547375202178955,
-0.0004174569621682167,
-0.2695385813713074,
-0.3112727105617523,
0.12513601779937744,
0.11983834207057953,
0.7466273307800293,
-0.054972946643829346,
-0.07665933668613434,
-0.2591625452041626,
-0.11588460206985474,
-0.3261265456676483,
-0.352189779... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Example: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Example solution: Roger Federer was the first player to win 20 Grand Slams
Example explanation: The output is an exact translation of the Tagalog sentence and its meaning remains the same.
Problem: Tagalog sentence: 3 Sa isang bansa 6 lungsod ay konektado sa pamamagitan ng dalawang dalawang kasama na round-trip air ruta pinamamahalaan sa pamamagitan mismo ng isa sa dalawang mga kompanya ng hangin na bansa.
| Solution: 3 In a country 6 cities are connected two by two with round-trip air routes operated by exactly one of the two air companies in that country. | 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.32707908749580383,
0.5263002514839172,
-0.047269754111766815,
-0.46206238865852356,
0.6372409462928772,
-0.7239127159118652,
0.620327353477478,
0.44395458698272705,
-0.2521786391735077,
-0.2873571217060089,
0.07483157515525818,
0.8629583120346069,
-0.9958374500274658,
-0.6100131273269653... |
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