inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1 value | _task_name stringlengths 19 85 | _template_type stringclasses 2 values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: دوست دارم به یوهانس کریستیانسون اشاره کنم ، گزارشگری ایسلندی که ما او را دعوت کردیم ، به عنوان تنهاترین مرد دردنیا.
A: | Quero referir Johannes Kristjansson, o repórter islandês que convidámos a participar no projeto, como o homem mais solitário do mundo. | 9 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.3455846607685089,
0.7536850571632385,
-0.04657570272684097,
-0.13595539331436157,
-0.24842926859855652,
-0.31449535489082336,
0.15348321199417114,
-0.17177966237068176,
0.5233097076416016,
0.2908531129360199,
-0.6730725765228271,
0.9242337942123413,
-0.45363736152648926,
0.6805249452590... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. 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.
question:
Head: sick person<sep>Tail: throw up
answer:
Yes
question:
Head: PersonX accidentally cut ___<sep>Tail: to seek medical help
answer:
No
question:
Head: PersonX accidentally got ___<sep>Tail: to not think things through
answer:
| No
| 9 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.14544101059436798,
0.4797852635383606,
0.6720337271690369,
-0.12911611795425415,
-0.3026543855667114,
-0.7387925386428833,
0.299014687538147,
0.6135640740394592,
-0.10387428104877472,
-0.35295769572257996,
-0.8523108959197998,
-0.5331997871398926,
-0.44752413034439087,
0.1474573016166687... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragraph.
Let me give you an example: Paragraph- Sent 1: Obama was born on August 4, 1961, at Kapiʻolani Maternity & Gynecological Hospital in Honolulu, Hawaii.
Sent 2: He is the only President to have been born in Hawaii.
Sent 3: He was born to a white mother and a black father.
Sent 4: His mother, Ann Dunham (1942-1995), was born in Wichita, Kansas, of mostly English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. Question: How old was Obama's mother when he was born?
The answer to this example can be: 19.
Here is why: Obama was born in 1961. His mother was born in 1942 and 1961-1942=19. Therefore, any of the following responses are considred correct: '19' and 'almost twenty'.
OK. solve this:
Paragraph- Sent 1: Tuesday, September 11, 2001, dawned temperate and nearly cloudless in the eastern United States.
Sent 2: Millions of men and women readied themselves for work.
Sent 3: Some made their way to the Twin Towers, the signature structures of the World Trade Center complex in New York City.
Sent 4: Others went to Arlington, Virginia, to the Pentagon.
Sent 5: Across the Potomac River, the United States Congress was back in session.
Sent 6: At the other end of Pennsylvania Avenue, people began to line up for a White House tour.
Sent 7: In Sarasota, Florida, President George W. Bush went for an early morning run.
Sent 8: For those heading to an airport, weather conditions could not have been better for a safe and pleasant journey.
Sent 9: Among the travelers were Mohamed Atta and Abdul Aziz al Omari, who arrived at the airport in Portland, Maine.
Sent 10: Boston: American 11 and United 175.
Sent 11: Atta and Omari boarded a 6:00 A.M. flight from Portland to Boston's Logan International Airport.
Sent 12: When he checked in for his flight to Boston, Atta was selected by a computerized prescreening system known as CAPPS (Computer Assisted Passenger Prescreening System), created to identify passengers who should be subject to special security measures.
Sent 13: Under security rules in place at the time, the only consequence of Atta's selection by CAPPS was that his checked bags were held off the plane until it was confirmed that he had boarded the aircraft.
Sent 14: This did not hinder Atta's plans.
Sent 15: Atta and Omari arrived in Boston at 6:45.
Sent 16: Seven minutes later, Atta apparently took a call from Marwan al Shehhi, a longtime colleague who was at another terminal at Logan Airport.
Sent 17: They spoke for three minutes.
Sent 18: It would be their final conversation.
Question: At what time did Atta take a phone call from Marwan al Shehhi?.
Answer: | 6:52 AM. | 8 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.737411379814148,
0.22400130331516266,
-0.7290766835212708,
0.05995429307222366,
-0.09099666029214859,
-0.40847399830818176,
0.041677433997392654,
0.8542003631591797,
0.911775529384613,
0.5634356737136841,
-0.781484842300415,
0.7698733806610107,
-0.41568639874458313,
-0.49627017974853516,... |
Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Example input: I hate women. All of them are useless.
Example output: hate
Example explanation: Gender discrimination is shown in this comment. Hence, it is classified as hate speech.
Q: I won’t let your Allah fuck my life. Convert to Christian or make your self and kids a favour and return back to your homelands
A: | hate | 3 | NIv2 | task1604_ethos_text_classification | fs_opt | [
-0.48579519987106323,
1.0178004503250122,
-0.48161929845809937,
0.6096211671829224,
-0.7422745227813721,
-0.8715742230415344,
1.0332164764404297,
0.6764770746231079,
0.7858749628067017,
0.5823142528533936,
-0.17512039840221405,
0.49172794818878174,
-0.4714769124984741,
-0.3291109502315521,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: taking care of some admin stuff
A: | negative | 4 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.5092859268188477,
0.30058926343917847,
1.0837321281433105,
0.37374693155288696,
0.46949341893196106,
-1.3463959693908691,
-0.5612136721611023,
0.7977797985076904,
0.49249404668807983,
0.9313513040542603,
-0.4901002049446106,
-0.5799461007118225,
-0.30265697836875916,
-0.4072210192680359... |
Detailed Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work
Problem:Text: Ardeth Lake is an alpine lake in Boise County Idaho United States located high in the Sawtooth Mountains in the Sawtooth National Recreation Area. The lake is approximately 18 miles (29 km) south of Stanley.
Question: WHat is the classified topic name
Solution: | Mean of transportation | 8 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
0.1782047152519226,
0.25462478399276733,
0.20055586099624634,
-0.331778347492218,
-0.04783478379249573,
-0.2779895067214966,
-0.04008839651942253,
0.5613166689872742,
-0.2839744985103607,
-0.6806951761245728,
0.014874938875436783,
0.1306997835636139,
-0.6991682648658752,
-0.220277875661849... |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: TV GOES TO WORK
Clue: It's the literary cafe where Joe Farrell, Audrey Penney & Ellen Morgan worked
Output: | buy the book | 2 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.5753759145736694,
0.8514509201049805,
-0.3379034101963043,
-0.1866137981414795,
0.3589465022087097,
0.68992680311203,
0.7013276815414429,
-0.08839888870716095,
0.5205284357070923,
-0.24562448263168335,
-0.3633020520210266,
-0.2640954256057739,
-0.4203474223613739,
0.06699693202972412,
... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Middle: One day I saw him by alcohol with the money I gave him. Ending: I never gave the man money again. | I had been giving this homeless man change everyday. | 0 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.21765589714050293,
1.0908665657043457,
-0.07416827231645584,
-0.39465948939323425,
-0.5396705865859985,
-0.13734053075313568,
1.0067572593688965,
0.5155100226402283,
-0.09447799623012543,
-0.25997912883758545,
-0.4563307762145996,
0.029484473168849945,
-0.45539844036102295,
-0.093979798... |
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 Arabic. Your job is to translate the Arabic sentence into English.
(تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Solution: (Applause) However there is a political battle in our country.
Why? The Arabic sentence is correctly translated into English, because the meaning is preserved.
New input: قرود الشمبانزي لا تمتلك مسالخ وسجون ومعسكرات اعتقال.
Solution: | Chimpanzees don't have slaughterhouses and prisons and concentration camps. | 0 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.08070705085992813,
0.6653150320053101,
0.3477473855018616,
-0.6014536619186401,
-0.4098202884197235,
0.11501570791006088,
1.0550551414489746,
-0.2413238286972046,
0.3203955292701721,
-0.1725361943244934,
-0.5301170349121094,
-0.10869652032852173,
-0.722419261932373,
-0.04270575940608978... |
Given the task definition and input, reply with output. In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
pas tellement aimé . personnellement j'adore l'écriture de Anne Wiazemski mais pour ce livre je n'ai pas retrouvé le charme de ces livres précédents ni l'intéret de l'histoire raconté .Le thème : le choix de Besson de trouver une jeune fille comme actrice pour son film qui soit neuve spontanée .Son intéret se porte sur Anne Wiazemski;Je trouve l'ambiance assez malsaine et les relations avec Eric Besson vraiment troubles ;ce livre a beau etre autobiographique on ne vibre pas comme pour" une poignée de gens" ou "hymne à l'amour" ;bref pour moi un livre un peu raté et qui ne montre pas Besson sous son meilleur jour .
| NEG | 5 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.47528719902038574,
1.0661358833312988,
0.08449423313140869,
-0.04660236835479736,
0.27272748947143555,
0.41778045892715454,
0.8627264499664307,
0.03575573489069939,
0.2307419329881668,
0.6331236958503723,
-0.6429324150085449,
-0.6275159120559692,
-0.35770055651664734,
-0.253416746854782... |
instruction:
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
question:
Statement: <MASK>ના ગુજરાત રાજ્યના ભાવનગર જિલ્લાના પાલીતાણા તાલુકામાં આવેલું એક ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, ચણા, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ગુજરાત
Option D: ભારત
answer:
ભારત
question:
Statement: તેતરવા (તા. ભાભર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ઉત્તર ભાગમાં આવેલા બનાસકાંઠા જિલ્લામાં આવેલા કુલ ૧૪ (ચૌદ) તાલુકાઓ પૈકીના એક એવા ભાભર તાલુકામાં આવેલું એક ગામ છે. તેતરવા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, વરિયાળી, બાજરી, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: રશિયન
Option C: પંચાયતઘર
Option D: ભારત
answer:
ભારત
question:
Statement: જીરાગઢ (તા. જોડિયા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારમાં આવેલા જામનગર જિલ્લામાં આવેલા કુલ ૬ (છ) તાલુકાઓ પૈકીના એક એવા જોડિયા તાલુકામાં આવેલું એક ગામ છે. જીરાગઢ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, ચણા, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: સૌરાષ્ટ્ર
Option B: ભારત
Option C: પંચાયતઘર
Option D: આંગણવાડી
answer:
| ભારત
| 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.2984171211719513,
0.7004976272583008,
0.5785118341445923,
-0.15963506698608398,
0.03495185449719429,
-0.6366946697235107,
0.1417463719844818,
1.2012598514556885,
-0.7094122767448425,
0.04225814342498779,
-0.4652039706707001,
0.4890105724334717,
-0.41066497564315796,
-0.4818582534790039,
... |
In this task, you are given a question in Persian, and your task is to translate it into English.
آیا کلینتون توسط بنیاد کلینتون حقوق می گیرند؟ | Were the Clintons paid by the Clinton Foundation? | 0 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-1.1554924249649048,
0.6031012535095215,
-0.16341397166252136,
0.4465852975845337,
-0.472792387008667,
-0.7199833393096924,
0.6160018444061279,
0.3450866937637329,
0.5223473906517029,
0.1744213104248047,
0.8244010210037231,
-0.007233545184135437,
-0.7235839366912842,
0.9557009339332581,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Let me give you an example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
The answer to this example can be: Tom had gone into the store before he was seen by Jon.
Here is why: Tom must have gone into the store to come out of it.
OK. solve this:
Sentence 1: A child with a face painted like a tiger is making a growling looking face. Sentence 2: The child painted like a tiger is at a carnival.
Answer: | A child is wearing paint on their face, and making a face. | 8 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.5114127993583679,
0.8066163063049316,
0.7452174425125122,
-0.6315865516662598,
0.002692951587960124,
-0.44165346026420593,
-0.5784950256347656,
0.8405002355575562,
0.0600888654589653,
-0.019969375804066658,
-0.1277775764465332,
0.02365323156118393,
-0.6597259044647217,
-0.13684400916099... |
Given the task definition and input, reply with output. 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: What city is home to the team that was created for the 2000-01 season? Passage 1:The 2000–01 season saw the folding of the Summerland Warriors and the creation of the Creston Valley Thunder Cats. In 2001–02, the league was split from two to three divisions, the Neil Murdoch, Eddie Mountain, and Okanagan/Shushwap. Along with the division re-alignment, the North Okanagan Kings relocated to Enderby, becoming the Enderby Ice Kings. The Osoyoos Heat took on the name the Osoyoos Storm, and an expansion franchise was granted to Summerland, which took the name Summerland Sting. 2001–02 also saw the presence of the KIJHL's most accomplished alumnus, Shea Weber, who played for the league champions Sicamous Eagles for this single season. In 2002–03, the Princeton Posse joined the league, becoming the furthest west team in the KIJHL, and the Enderby Ice Kings folded after one season. In 2004–05, the Fernie Ghostriders joined the league from the North American Hockey League, and the following year the Golden Rockets were renamed the Golden Xtreme. They were renamed again the following year, this time becoming the Golden Jets. Also, 2006–07 saw the demise of the Osoyoos Storm, who moved to Kamloops Storm, while retaining the Storm name. In 2007–08, the league was divided into two conferences, which were furthermore split into two divisions each, dropping the Okanagan Shushwap, while creating the Eddie Mountain Conference, East and West Divisions, and likewise with the Neil Murdoch Conference. The Golden Xtreme was again renamed, this time reverting to the Rockets name. Furthermore, the Chase Chiefs joined the league in 2007–08, while the Fernie Ghostriders would capture the league title. There were no team changes in 2008–09, and the Nelson Leafs would capture the league title. In 2009–10, however, the Summerland Sting were forced to relocate to nearby Penticton, taking the name Penticton Lakers. Furthermore, an expansion team was granted to Armstrong, and the North Okanagan Knights were founded.
Passage 2:In 1991, the first multi-party elections were held in Croatia, with Franjo Tuđman's win raising nationalist tensions further in an already tense SFR Yugoslavia. The Serb politicians left the Sabor and declared the autonomy of areas that would soon become part of the unrecognized Republic of Serbian Krajina, which had the intention on achieving independence from Croatia. As tensions rose, Croatia declared independence in June 1991. However, the declaration was suspended for three months, until 8 October 1991. The suspension came about as the European Economic Community and the Conference on Security and Cooperation in Europe urged Croatia that it would not be recognized as an independent state because of the possibility of a civil war in Yugoslavia. The tensions escalated into the Croatian War of Independence when the Yugoslav People's Army and various Serb paramilitaries mobilized inside Croatia. On 3 October, the Yugoslav Navy renewed its blockade of the main ports of Croatia. This move followed months of standoff and the capture of Yugoslav military installations in Dalmatia and elsewhere. These events are now known as the Battle of the barracks. That resulted in the capture of significant quantities of weapons, ammunition and other equipment by the Croatian Army, including 150 armoured personnel carriers, 220 tanks and 400 artillery pieces of caliber or larger, 39 barracks and 26 other facilities including two signals centres and a missile base. It also coincided with the end of Operation Coast-91, in which the Yugoslav forces failed to occupy the coastline in an attempt to cut off Dalmatia's access to the rest of Croatia.
Passage 3:Philippe belonged to the poorer nobility. At first, he served under Luchino Visconti in Lombardy but within a year he entered the service of the husband of Joanna I of Naples, Andrew, Duke of Calabria, who was the son of the King Charles I of Hungary. Andrew was assassinated very soon in September 1345. In the autumn of that year, Philippe set out for the East in the French army. After the Battle of Smyrna in 1346 he was made a knight, and when the French army was disbanded, he made his way to Jerusalem. He realized the advantage which the discipline of the Saracens gave them over the disorderly armies of the West, and conceived the idea of a new order of knighthood, but his efforts proved fruitless. The first sketch of the order was drawn up by him in his Nova religio passionis (1367–1368; revised and enlarged in 1386 and 1396). From Jerusalem he found his way in 1347 to Cyprus to the court of Hugh IV, where he found a kindred enthusiast in the king's son, Peter of Lusignan, then count of Tripoli; but he soon left Cyprus, and had resumed his career as a soldier of fortune when the accession of Peter to the throne of Cyprus (Nov. 1358) and his recognition as king of Jerusalem induced Philippe to return to the island, probably in 1360, when he became chancellor.
| 1 | 5 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.24207474291324615,
0.31064939498901367,
-1.0451247692108154,
0.40443354845046997,
0.8125230669975281,
-0.5603508949279785,
0.9411572217941284,
0.755601167678833,
-0.17005591094493866,
0.20824487507343292,
-0.02400575950741768,
1.0530481338500977,
-1.2285361289978027,
-0.18579089641571045... |
Given the task definition and input, reply with output. You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ಮಂದಗಾಮಿ ಸಮೂಹವಾದ ಅಖಿಲ ಭಾರತೀಯ ಗೂರ್ಖಾ ಲೀಗ್ (ಎಬಿಜಿಎಲ್) ನಾಯಕರಾದ ಮದನ್ ತಮಾಂಗ್ ಅವರ ಇತ್ತೀಚಿನ ಹತ್ಯೆಯ ಬಳಿಕ ಗೂರ್ಖಾಲ್ಯಾಂಡ್ ಬೇಡಿಕೆಯು ಹೊಸ ಸ್ವರೂಪವನ್ನು ಪಡೆಯಿತು. ಅವರನ್ನು 2010 ರ ಮೇ 21 ರಂದು <MASK>ನಲ್ಲಿ ಶಂಕಿತ ಗೂರ್ಖಾ ಜನಮುಕ್ತಿ ಮೋರ್ಚಾ (ಜಿಜೆಎಮ್) ಬೆಂಬಲಿಗರು ಇರಿದು ಹತ್ಯೆ ಮಾಡಿದರು, ಈ ಘಟನೆಯು ಡಾರ್ಜಿಲಿಂಗ್ನ ಮೂರು ಉಪ ವಿಭಾಗಗಳು, ಕಾಲಿಪೋಂಗ್ ಮತ್ತು ಕರ್ಸಿಯೋಂಗ್ನಲ್ಲಿ ಸಂಪೂರ್ಣ ಬಂದ್ಗೆ ಕಾರಣವಾಯಿತು. ತಮಾನ್ ಅವರ ಹತ್ಯೆಯಲ್ಲಿ ಪಾಲ್ಗೊಂಡ ವ್ಯಕ್ತಿಗಳಿಗಾಗಿ ಆಡಳಿತವು ಹುಡುಕಾಟ ನಡೆಸುತ್ತಿದೆ. ಕೊಲೆಯ ನಂತರ ಗೂರ್ಖಾ ಜನಮುಕ್ತಿ ಮೋರ್ಚಾದ ಮೂರು ಹಿರಿಯ ನಾಯಕರನ್ನು ಎಫ್ಐಆರ್ನಲ್ಲಿ ಹೆಸರಿಸಲಾಗಿತ್ತು ಮತ್ತು ಅದರ ವಿರುದ್ಧ ಕ್ರಮ ತೆಗೆದುಕೊಳ್ಳುವ ಬೆದರಿಕೆಯನ್ನು ಪಶ್ಚಿಮ ಬಂಗಾಳ ಸರ್ಕಾರ ವು ಹಾಕಿತಲ್ಲದೇ, ಈ ಮಧ್ಯೆ ಗೂರ್ಖಾ ಪಾರ್ಟಿಯು "ಹತ್ಯೆಯ ನಂತರ ಜನಪ್ರಿಯ ಬೆಂಬಲವನ್ನು ಕಳೆದುಕೊಂಡಿದೆ" ಎಂದು ಹೇಳಿ ಮಧ್ಯಂತರ ವ್ಯವಸ್ಥೆಯ ಕುರಿತಂತೆ ಅದರೊಂದಿಗೆ ನಡೆಯುತ್ತಿರುವ ಮಾತುಕತೆಯನ್ನು ನಿಲ್ಲಿಸುವ ಮುನ್ಸೂಚನೆಯನ್ನು ನೀಡಿತು.
Option A: ಸಿಕ್ಕಿಂ
Option B: ಭಾರತ
Option C: ಡಾರ್ಜಿಲಿಂಗ್
Option D: ತೆಲಂಗಾಣ
| ಡಾರ್ಜಿಲಿಂಗ್ | 5 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.5583838224411011,
0.04887548089027405,
-0.3774240016937256,
-0.6156926155090332,
0.08005256950855255,
-0.6155098080635071,
0.10919252038002014,
0.14940346777439117,
-0.5924139022827148,
0.14596983790397644,
-0.3046816289424896,
0.17085000872612,
-0.3883100748062134,
0.08704699575901031,
... |
Part 1. Definition
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
Part 2. Example
En daarom wordt er in Changli nu aan een nieuwe kerk gebouwd.
Answer: Changli: B-LOC
Explanation: In the given sentence, Changli is identified as the location entity.
Part 3. Exercise
Nog straffer is de in vier hoogteniveaus verstelbare en volgens Audi dan ook bijzonder ' intelligente ' pneumatische ophanging .
Answer: | Audi: B-ORG | 7 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.09826698899269104,
0.2516549229621887,
0.14337167143821716,
0.11687252670526505,
-0.1885933130979538,
-0.46050551533699036,
0.8806499242782593,
0.29669490456581116,
0.7544862627983093,
-0.27960383892059326,
-0.7809298038482666,
0.32305100560188293,
0.11980462074279785,
0.218432620167732... |
Detailed Instructions: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.
Solution: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Explanation: The Filipino sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Problem: Ayon kay Martin Nesirky, ang tagapagsalita ng Nagkakaisang Bansa para kay Kalihim-Heneral Ban Ki-moon, isang IED na bomba ang tumama sa apat na gulong na sasakyan ng kumboy.
Solution: | 潘基文事務総長の国連報道担当官であるマーティン・ネシルキーによると、IED砲が4車両の護衛艦に命中した。 | 4 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
0.49886396527290344,
0.382057249546051,
-1.0268089771270752,
0.4315100908279419,
0.16503645479679108,
-1.2772786617279053,
0.6385729312896729,
0.2194838523864746,
-0.08370327949523926,
-0.37978506088256836,
-1.3253915309906006,
0.932441771030426,
-0.5774526596069336,
0.6641882061958313,
... |
Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 米国連邦捜査局の局員は、現在ニューヨークの投資銀行ゴールドマン・サックスをターゲットとする殺害予告について捜査している。
Filipino: Ang mga awtoridad mula sa U.S. Federal Bureau of Investigation ay kasalukuyang nag-iimbestiga sa pagbabanta sa buhay na naka-ukol sa kompanya ng imbestment na Goldman Sachs sa New York.
Output: | Yes | 3 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.46196532249450684,
-0.5885341167449951,
0.2180892378091812,
-0.007186808157712221,
0.3776404857635498,
-0.3350638151168823,
0.1894509196281433,
0.45710164308547974,
-0.0724894106388092,
-0.02659662812948227,
-0.750014066696167,
0.038733333349227905,
-0.4422034025192261,
0.21217954158782... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
One example is below.
Q: Un bărbat pune brânză mărunțită pe o pizza.
A: A man is spreading shreded cheese on a pizza.
Rationale: In the given translation process, the tense of both sentences, quantitative measures, entity name, the polarity of the sentence remains the same.
Q: O locomotivă cu abur verde călătorind pe căile ferate.
A: | A green steam engine traveling on the railroad tracks. | 9 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.37464040517807007,
0.4559665322303772,
0.42186638712882996,
-0.3198757469654083,
-0.09237584471702576,
-0.31276124715805054,
0.5064668655395508,
1.0255670547485352,
0.5549066066741943,
-0.18692807853221893,
-0.13419532775878906,
0.5467108488082886,
0.04902759566903114,
-0.17729045450687... |
TASK DEFINITION: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
PROBLEM: Somali sentence: 8 Xidhiidhka buurahu waa daaqiisa, Oo wuxuu raadiyaa wax kasta oo cagaar ah.
SOLUTION: 8 The range of the mountains is his pasture, and he searcheth after every green thing.
PROBLEM: Somali sentence: Waxa uu yiri: "Ruuxii bilaaba hab lagu samaynta wanaagga Islaamka waxaa lagu Abaal marin iyada iyo sidoo kale waxaa ku jira abaalgud u ah qof kasta oo socota tusaale ahaan in,la'aan ay abaalkiis hoos u, iyo ku alla kii wax bilaaba dhaqanka u Xun galay Islam qaadi doonaan ay la Rarto, iyo culayska qof kasta oo u dhaqmo hab in, iyadoo aan si walba oo ay culays u gooni ah. "R 172 Muslim kula silsilad ilaa Jariir ina Abdullah oo la xiriira arrintan .
SOLUTION: He said: 'Whoever initiates a way of doing good into Islam will be rewarded for it and there is also a reward for everyone who follows that example, without decreasing their own reward, and whoever initiates an evil practice into Islam will carry its burden and the burden of everyone who acts in that way, without decreasing in any way their own burden." R 172 Muslim with a chain up to Jarir son of Abdullah who related this.
PROBLEM: Somali sentence: 25 Waxyaalaha qarsoon ee qalbigiisa waa la muujiyaa, oo taa aawadeed wejigiisuu u dhici doonaa oo Ilaah ayuu caabudi doonaa isagoo odhanaya, Runtii Ilaah waa idin dhex joogaa. 26 Maxaa jira haddaba, walaalayaalow?
SOLUTION: | 25 And thus are the secrets of his heart made manifest; and so falling down on his face he will worship God, and report that God is in you of a truth.
| 8 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.3116849660873413,
0.21231049299240112,
0.007339516654610634,
-0.5422770380973816,
-0.15459083020687103,
-0.37163838744163513,
0.8514209389686584,
1.5268352031707764,
0.18628710508346558,
-0.11292995512485504,
-0.7319769859313965,
0.5203466415405273,
-1.3213640451431274,
-0.08890254795551... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
Context: Note all the parents standing around ... they are outside the classroom and their children are all seated inside with Ms. Riebeu , Campbelle was the last to arrive on the first day of school , and since ... has been the first to arrive and the last to leave ... almost every day since ! After school she had no choice ... but to play in my classroom , while I buckled things up . The bucket is used to move things between school and home .
Question: Why would the young girl be playing in the class room ? | She is waiting for her parent . | 0 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.6150641441345215,
1.0885086059570312,
-0.9480018615722656,
0.2265205681324005,
-0.32940447330474854,
-0.4774605631828308,
-0.05575834587216377,
0.3414383828639984,
0.49242499470710754,
-0.16661417484283447,
0.40514907240867615,
0.32354170083999634,
-0.18250396847724915,
-0.24572083353996... |
Teacher:Translate from English to Hindi.
Teacher: Now, understand the problem? Solve this instance: What are you, a fucking geologist?
Student: | तुम क्या हो, एक कमबख्त भूविज्ञानी? ! | 6 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
-0.5986182689666748,
0.36129045486450195,
-0.18500298261642456,
-1.0527805089950562,
-0.6130602359771729,
-0.4371623992919922,
-0.0139339379966259,
0.3808043599128723,
0.03157031536102295,
-0.6286607980728149,
-0.31161969900131226,
0.31107860803604126,
-0.2649795413017273,
-0.6696076393127... |
Detailed Instructions: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Problem:Brett Booth is an American comic book artist. He is best known for his work on Backlash, a character he co-created with Jim Lee at the Wildstorm Studios. Following _his_ Wildstorm work, Booth has also illustrated the exploits of some of Marvel Comics ' best known characters such as Spider-Man, the Fantastic Four, and the X-Men. <sep>, Pronoun: his
Solution: | Jim Lee | 8 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.8877885341644287,
0.694804310798645,
0.023405807092785835,
-0.040718644857406616,
0.10595636069774628,
0.25579744577407837,
0.5361469984054565,
-0.17008070647716522,
0.8797315955162048,
-0.4528926610946655,
-0.4534885883331299,
0.5596418380737305,
-0.05999249964952469,
-0.10482495278120... |
Teacher:Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific instance of Y. If niether COORD nor HYPER are applicable then the relationship is RANDOM.
Teacher: Now, understand the problem? Solve this instance: X: fork, Y: wallet
Student: | RANDOM | 6 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.39034539461135864,
0.39476075768470764,
-0.07286392152309418,
-0.3243663012981415,
-0.9518027305603027,
-0.04850644990801811,
0.4578033685684204,
0.5543115735054016,
0.8519906997680664,
-1.0799548625946045,
-0.6883008480072021,
0.28564316034317017,
-0.14591506123542786,
0.18400700390338... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
1, 1, ['r', 'H'] | r, H | 0 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.40507739782333374,
0.2979227900505066,
-0.4582309424877167,
-0.5189031958580017,
-0.8025146722793579,
0.1845197230577469,
0.5765906572341919,
-0.18774265050888062,
0.1342228651046753,
-0.3835560381412506,
-0.6745152473449707,
-0.8622629642486572,
0.20060987770557404,
0.1984274983406067,
... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: from heaven for you; and the people shall go out and gather a | samada idiinka soo; oo dadku waa inay dibadda u bixi doonaa, oo isu soo ururi a | 0 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
-0.148080974817276,
1.202949047088623,
-0.20991969108581543,
-0.595740795135498,
0.18825054168701172,
-1.4613441228866577,
0.09478944540023804,
0.23235197365283966,
0.45712029933929443,
-0.21591700613498688,
-0.10138562321662903,
1.026447057723999,
-0.6529152393341064,
0.2599259316921234,
... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Ex Input:
Category: construction
Words: windlass, crane, dump truck, pelican, digger
Ex Output:
pelican
Ex Input:
Category: police punishment
Words: suspension, exquisite, prime, fine, flyaway
Ex Output:
exquisite
Ex Input:
Category: food
Words: frank, fortitude, goodies, cheese, bun
Ex Output:
| fortitude
| 1 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.4591551721096039,
0.38220131397247314,
-0.04577846825122833,
-0.11632166802883148,
-0.14339406788349152,
0.2636406421661377,
-0.07543574273586273,
0.27547478675842285,
0.1852683126926422,
0.006833603605628014,
-0.6887748837471008,
0.03693445771932602,
-0.363759309053421,
0.1205691546201... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
Q: ['G', '3879', '9891', 'w']
A: | G, w, 3879, 9891 | 4 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.45699968934059143,
0.5275835990905762,
0.6234418749809265,
-1.0468082427978516,
0.36124247312545776,
-0.1784963458776474,
0.22639313340187073,
-0.16484083235263824,
-0.36705482006073,
0.405904084444046,
-0.09812100231647491,
-0.07038293778896332,
0.4657290577888489,
-0.18309369683265686... |
Detailed Instructions: In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Problem:The bacterium is aerobic and non-spore forming1,2. An important feature of M. tuberculosis is that after infection it can remain latent in the body for a long time (even lifelong).
Solution: | Bakterien är aerob och icke sporbildande1,2. En viktig egenskap hos M. tuberculosis är att den efter infektion kan finnas kvar latent i kroppen under lång tid (t.o.m. hela livet). | 8 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
0.6046696305274963,
0.795154869556427,
-0.3754863142967224,
-0.16602358222007751,
0.015289908275008202,
-0.22710081934928894,
0.5676952600479126,
0.20727837085723877,
0.36928606033325195,
0.2073782980442047,
-0.22524526715278625,
0.4496000409126282,
-0.3916971683502197,
-0.3351394236087799... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
gocogccocco
Solution: gocog
Why? The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example.
New input: qvvuvuuquvuvvvu
Solution: | uvvvu | 0 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.41621604561805725,
0.8257944583892822,
-0.04023464769124985,
-0.5128598213195801,
-0.11229230463504791,
-0.07963178306818008,
1.348832368850708,
-0.16906386613845825,
-0.02747724950313568,
-0.06834582984447479,
-0.20063957571983337,
-0.22761058807373047,
-0.4510009288787842,
0.252999037... |
Detailed Instructions: 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.
Problem:In this article, an agent-based negotiation model for negotiation teams that negotiate a deal with an opponent is presented. Agent-based negotiation teams are groups of agents that join together as a single negotiation party because they share an interest that is related to the negotiation process. The model relies on a trusted mediator that coordinates and helps team members in the decisions that they have to take during the negotiation process: which offer is sent to the opponent, and whether or not the offers received from the opponent are accepted. The main strength of the proposed negotiation model is the fact that it guarantees unanimity within team decisions since decisions report a utility to team members that is greater than or equal to their aspiration levels at each negotiation round. This work analyzes how unanimous decisions are taken within the team and the robustness of the model against different types of manipulations. An empirical evaluation is also performed to study the impact of the different parameters of the model.
Solution: | Reaching Unanimous Agreements within Agent-Based Negotiation Teams with Linear and Monotonic Utility Functions | 8 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
0.14962011575698853,
0.16892170906066895,
-0.6402900815010071,
0.20468327403068542,
-0.059646300971508026,
-0.3601897358894348,
1.2268986701965332,
0.4819529354572296,
0.08797702938318253,
-0.158821240067482,
-0.3355425298213959,
-0.01976061798632145,
-0.6839531660079956,
0.458896398544311... |
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.
Let me give you an example: Jacob Mathew, Mr
The answer to this example can be: ਯਾਕੂਬ ਮੈਥਿ, ਸ਼੍ਰੀਮਾਨ
Here is why: Correct translation for given sentence. Input sentence means 'Jacob Mathew, Mr' which is the same as the output sentence.
OK. solve this:
My ministerial colleague, Dr.
Answer: | ਮੰਤਰੀ ਮੰਡਲ ਦੇ ਮੇਰੇ ਸਾਥੀ, ਡਾ. | 8 | NIv2 | task1007_pib_translation_english_punjabi | fs_opt | [
-0.38095763325691223,
0.5027605295181274,
-0.19121840596199036,
-0.7706795930862427,
0.4420226812362671,
-0.7393213510513306,
0.9335469007492065,
-0.44592371582984924,
0.607261598110199,
0.08113299310207367,
-0.022376999258995056,
0.5191490650177002,
-0.9495061635971069,
0.4652145206928253... |
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 pole with two street signs on it and a picture of a man walking with a cane on each one'. Count the number of consonants in the given sentence. | 40 | 0 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.2555486559867859,
0.8721575140953064,
-0.9002193212509155,
-0.5628829598426819,
-0.10182169079780579,
-0.2501046061515808,
-0.40415215492248535,
0.8601326942443848,
-0.3296833336353302,
-0.2971106469631195,
-0.49527978897094727,
0.16683122515678406,
0.053533606231212616,
-0.6316028833389... |
Definition: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Input: Sentence1: Ants communicate with chemicals called pheromones.
Sentence2: Ants communicate with the colony in the form of what is called pheremon trails.
Output: | Ants | 2 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.3544888496398926,
0.42926836013793945,
0.650995135307312,
-0.16341830790042877,
-0.11816343665122986,
-0.5917963981628418,
0.20092056691646576,
-0.3824123740196228,
-0.43149882555007935,
-0.4438120722770691,
-0.7309774160385132,
-0.019660135731101036,
-1.001440405845642,
0.50903499126434... |
TASK DEFINITION: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
PROBLEM: The conversation with Lakisha was outrageous.
SOLUTION: anger
PROBLEM: My wife feels annoyed.
SOLUTION: anger
PROBLEM: The conversation with this woman was threatening.
SOLUTION: | fear
| 8 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.27961504459381104,
-0.10455375909805298,
0.2938348948955536,
-0.6394116878509521,
-0.2879487872123718,
-0.041081737726926804,
1.3143961429595947,
0.16925624012947083,
0.36820441484451294,
-0.25301769375801086,
-0.6740886569023132,
-0.2886808514595032,
-0.6285933256149292,
-0.06440675258... |
This task is about translating a given English language sentence to Yoruba language.
Let me give you an example: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
The answer to this example can be: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹmófin lẹ́yìn tí o bùṣe nínú ẹ̀kọ́ inú ìdá yìí, wà á ní ìmọ̀ kíkún tí kò ní ẹlẹ́gbẹ́ bí o bá parí abala-ẹ̀kọ́ yìí.
Here is why: This is a good example because the English sentence has been translated correctly to Yoruba.
OK. solve this:
“Do not give them any breathing space.
Answer: | “Ẹ máa se fún wọn ní ìsinmi rárá. | 8 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.16533756256103516,
0.5742398500442505,
0.286188006401062,
-0.5579879283905029,
-0.5713689923286438,
-0.36316561698913574,
0.30156373977661133,
0.377255916595459,
0.14194922149181366,
-1.2691991329193115,
0.0269134771078825,
0.5141693353652954,
-1.2714985609054565,
0.4123116135597229,
... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Example Input: Are you a moose or a goose
Example Output: be you a moose be you a goose do you smell or act like a bunny be you a moose be you a goose uh oh they get loose
Example Input: BILLY BOB
Example Output: billy bob be a very weird guy he always seem like he want to die he have no true love he have no true friend all he have be his name- and will become to have fame
Example Input: Snow Ball Fight
Example Output: | our giggle tinkle off our lip finger curl into fist love in the air cold a we be be throw back and forth behind our back and barrier in the form of snowball irregular they dona't fly straight hit wherever whenever cupid arrows frozen packed and disguise but still as sweet a little kiss
| 3 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.3704890012741089,
1.4430817365646362,
0.08692298829555511,
-0.5341055393218994,
-0.32812508940696716,
-0.7067304849624634,
0.6699646711349487,
0.7152786254882812,
-0.13636526465415955,
-0.48785167932510376,
-0.5145413875579834,
0.3494255542755127,
-0.1455812156200409,
-0.130953252315521... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
--------
Question: Yo no quiero terminar en ese astillero.
Answer: Non voglio finire in quel cantiere navale.
Question: Esta es la idea que podemos estudiar cómo se disparan estos virus en poblaciones humanas, el movimiento de estos agentes hacia humanos, y al capturar este momento, podríamos ser capaces de estar en la situacion de captarlos anticipadamente
Answer: Pensiamo infatti che si possa studiare la trasmissione di questi virus agli esseri umani, il momento in cui avviene il passaggio di questi agenti. Se individuiamo questo momento, potremmo essere in grado di prendere i virus in tempo.
Question: Porque ella era como él y a él le gustaba ella.
Answer: | Perché lei era come lui e a lui piaceva lei.
| 7 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.3397682309150696,
0.23314103484153748,
0.04844047874212265,
-0.07493607699871063,
-0.4071192741394043,
-0.20155954360961914,
0.1505841314792633,
0.9130043983459473,
-0.4854293167591095,
-0.5241681337356567,
0.1278074085712433,
0.3620203137397766,
-0.17937606573104858,
0.2251219749450683... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: "In April 1946, the University of Chicago agreed to operate Argonne National Laboratory, with an association of Midwestern universities offering to sponsor the research. Argonne thereby became the first "national" laboratory. It did not, however, remain at its original location in the Argonne forest. In 1947, it moved farther west from the "Windy City" to a new site on Illinois farmland. When Alvin Weinberg visited Argonne's director, Walter Zinn, in 1947, he asked him what kind of reactor was to be built at the new site. When Zinn described a heavy-water reactor operating at one-tenth the power of the Materials Testing Reactor under design at Oak Ridge, Weinberg joked it would be simpler if Zinn took the Oak Ridge design and operated the Materials Testing Reactor at one-tenth capacity. The joke proved unintentionally prophetic."The S-50 plant used convection to separate the isotopes in thousands of tall columns. It was built next to the K-25 power plant, which provided the necessary steam. Much less efficient than K-25, the S-50 plant was torn down after the war.Concerned that the Atomic Energy Commission research program might become too academic, Lilienthal established a committee of industrial advisers, and during a November visit to Oak Ridge, he discussed with Clark Center, manager of Carbide & Carbon, a subsidiary of Union Carbide Corporation at Oak Ridge, the possibility of the company assuming management of the Laboratory.Prince Henry (of Prussia) Arriving in Washington and Visiting the German Embassy (1902). Evidently, with Prince Henry of Prussia according to the principles of science and its dangers their were already concerns with the applications of new science with military applications. The Hohenzollern (1902/II), "Kaiser Wilhelm's splendid yacht at the 34th St. Pier, New York. Taken at the exact moment of Prince Henry's arrival, and the raising of the royal standard." If Royalty knew of these necessary precautions to citizen welfare then what was the necessity of the warfare WWI and WWII. The quality of management control I presume?Thus, did the commandos of Operation Swallow volunteer for a military mission, or a business plan, based on the security principles of Laboratory management? Because supposedly their were no survivors, and the ones who were caught in Europe ordered to be executed. Of the 400 man commando team the survivors who were captured were executed under orders of the German Army against subversion, and espionage acts of the State of Germany. The Führer No. 003830/42 g. Kdos. OKW/WFSt, Führer HQ, 18 Oct. 1942, (signed) Adolph Hitler; Translation of Document no. 498-PS, Office of U.S. Chief of Counsel, certified true copy Kipp Major, declassified DOD 5200.30 March 23, 1983, reproduced at the U.S. National Archives.The OSS Society® 6723 Whittier Ave., 200 McLean, VA 22101
A: | positive | 4 | NIv2 | task284_imdb_classification | zs_opt | [
-0.00125051848590374,
0.5046454668045044,
-0.6697220206260681,
0.25746458768844604,
0.6450000405311584,
-0.6376419067382812,
0.1400313675403595,
0.8986644744873047,
0.45528271794319153,
0.3972412943840027,
-0.31583741307258606,
0.09872995316982269,
-0.4685581624507904,
-0.11968450248241425... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Q: Ella entered the garage. Abigail entered the garage. The beans is in the red_envelope. Abigail exited the garage. Ella moved the beans to the blue_bathtub. Ella exited the garage. Abigail entered the garage. Jayden entered the patio. Avery entered the patio. The grapefruit is in the red_drawer. Avery exited the patio. Jayden moved the grapefruit to the red_pantry. Jayden exited the patio. Phone rang. Avery entered the patio. Ella entered the laundry. Avery entered the laundry. The asparagus is in the red_treasure_chest. Avery exited the laundry. Ella moved the asparagus to the red_box. Ella exited the laundry. Avery entered the laundry. Avery entered the workshop. Ella entered the workshop. Phone rang. The pineapple is in the green_crate. Phone rang. Ella exited the workshop. Avery moved the pineapple to the green_pantry. Avery exited the workshop. Ella entered the workshop. Where was the pineapple at the beginning?
A: green_crate
****
Q: Owen entered the attic. Abigail entered the attic. The watermelon is in the blue_box. Abigail exited the attic. Owen moved the watermelon to the green_drawer. Owen exited the attic. Abigail entered the attic. Owen entered the cellar. Abigail entered the cellar. The lettuce is in the red_treasure_chest. Abigail exited the cellar. Owen moved the lettuce to the red_suitcase. Owen exited the cellar. Abigail entered the cellar. Aiden entered the attic. Owen entered the attic. The watermelon is in the green_drawer. Owen exited the attic. Aiden moved the watermelon to the blue_box. Aiden exited the attic. Owen entered the attic. Abigail entered the front_yard. Jacob entered the front_yard. The broccoli is in the blue_bathtub. Jacob exited the front_yard. Abigail moved the broccoli to the green_treasure_chest. Abigail exited the front_yard. Jacob entered the front_yard. Where is the broccoli really?
A: green_treasure_chest
****
Q: Elizabeth entered the lounge. Owen entered the lounge. The corn is in the blue_pantry. Elizabeth moved the corn to the red_cupboard. Benjamin entered the pantry. Owen entered the pantry. The beans is in the green_basket. Phone rang. Benjamin moved the beans to the green_box. Owen is in the pantry. Elizabeth entered the pantry. The beans is in the green_box. Owen moved the beans to the green_basket. Phone rang. Owen entered the hall. Benjamin entered the hall. The cucumber is in the green_suitcase. Owen moved the cucumber to the blue_treasure_chest. Where was the cucumber at the beginning?
A: | green_suitcase
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.4115299582481384,
-0.43049246072769165,
-0.17290392518043518,
0.00465730344876647,
0.030701743438839912,
-0.7627445459365845,
0.10163860023021698,
0.795367956161499,
0.23928982019424438,
0.039871782064437866,
-0.35783451795578003,
0.5138041377067566,
0.16548436880111694,
0.22730898857116... |
Teacher:In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: But celebrate the praises of thy Lord, and be of those who prostrate themselves in adoration.
Student: | پس [برای دفع دلتنگی] پروردگارت را همراه با سپاس و ستایش تسبیح گوی و از سجده کنان باش. | 6 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.4501649737358093,
0.9354193210601807,
0.2831358313560486,
-0.3428136110305786,
-0.35156700015068054,
-0.42014122009277344,
-0.046836741268634796,
-0.0077705178409814835,
0.3640415072441101,
-0.1559041142463684,
-0.18578289449214935,
-0.11575102806091309,
-0.6269260048866272,
-0.26487305... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Q: IQZcUStgd, DHZcUShT
A: | IQcsuztgd, DHcsuzhT | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.14537854492664337,
0.6353265047073364,
-0.2827168405056,
-0.5206648111343384,
-0.019208939746022224,
-0.1051504835486412,
0.8858523368835449,
-0.9398946762084961,
-0.1975736767053604,
0.6849895119667053,
-0.8353022933006287,
-0.41369327902793884,
0.06384030729532242,
0.2029595673084259,
... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Y voy a hacer un video completo, así que podemos pensar
Output: | That's a pretty nice and simple outcome. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.2682250142097473,
1.0108668804168701,
0.5551611185073853,
0.1803467869758606,
0.10192667692899704,
-0.257881224155426,
0.058427844196558,
1.3533116579055786,
0.20490653812885284,
-0.1443217694759369,
0.3256344199180603,
-0.11852161586284637,
-0.14297838509082794,
-0.1123037338256836,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Output: Good Quality Dog Food
The customer talked about dog food which was good. So, it's a correct summary.
New input case for you: I bought this mostly because i wanted the peppermint hot cocoa, but i fell in love with the milk chocolate one. The peppermint was pretty good as well...good cocoa!!!
Output: | Great! | 1 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6395862698554993,
-0.04662555456161499,
-0.10605767369270325,
0.23504404723644257,
0.18471217155456543,
0.05432158336043358,
0.3316968083381653,
0.3312593400478363,
-0.48574456572532654,
-0.10653269290924072,
0.32814154028892517,
-0.15080738067626953,
-0.27217841148376465,
-0.1503309160... |
Part 1. Definition
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Part 2. Example
Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Answer: The mailbox was bent and broken and looked like someone had knocked it over on purpose.
Explanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked
Part 3. Exercise
Relationship: 'revolve around', Argument/Subject 1: 'moon', Argument/Subject 2: 'earth'
Answer: | Alternatively we can say that the Moon revolves around the Earth 10,724 times to cover the distance that the light travels in 24 hours . | 7 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.19780507683753967,
1.016416311264038,
-0.12206851691007614,
-0.06527498364448547,
0.006619748659431934,
-0.6112635135650635,
0.7774466276168823,
0.42788219451904297,
0.04564435034990311,
-0.5720572471618652,
-0.34482550621032715,
0.2467338740825653,
-1.1431550979614258,
-0.05412474274635... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX babysits PersonX's nephew<sep>Tail: to help a sibling
A: | No | 9 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.18790674209594727,
0.3430534303188324,
0.39696770906448364,
-0.40653544664382935,
-0.5267534255981445,
-1.1197187900543213,
1.2050162553787231,
0.652839720249176,
-0.5886845588684082,
-0.5080092549324036,
-0.5363902449607849,
-0.32381680607795715,
-0.7182514667510986,
0.4564300775527954,... |
Given the task definition, example input & output, solve the new input case.
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Example: Personality: I like spending time with my friends and family.
I like listening to all genres of music except country music.
I like to read a lot of books.
Chat history: -Hi.
-Hey how are you?
-Good and yourself?
-Good, just listening to music and hanging out with my family.
-What do you do for a living?
-I am a teacher. How about you?
-I'm a vet at the animal shelter.
-That is awesome, what do you like to do for fun?
-I love running. Its my way to detox.
-Running is great. Do you have any other hobbies?
-Not really... what do you teach?
-I teach reading, I love books and helping children learn how to read.
-Where are you from?
Candidates 1) Care to chat with a hamburger lover? Its my fav food. 2) I bet that is a great place to draw. I sell art for a living. 3) I am from Illinois, how about you? 4) They're great pets! I just started an organic only diet.
Output: I am from Illinois, how about you?
The third choice is the best answer to the last part of the conversation, that asks where the person is from.
New input case for you: Personality: I am in 3rd grade.
I like to play soccer, draw and read asteria.
I don't have too many friends in the us yet, but I am going to summer camp and I hope to make friends then! I also think that I may make friends as soccer in the fall.
I am a french girl, but I moved to the us last year.
I live with my parents and my little brother.
Chat history: -Hi how are you.
-Good, thanks. How about you?
-Good what hobbies do you have?
-I spend time with my dog, and I like drawing.
-That is fun! I like to play soccer.
-Cool. I am not great at sports, but that is okay.
Candidates 1) Really? I love it. I also like to fish for tuna. 2) Yeah, cup half full I always say. 3) That is ok I just moved here from France! 4) I do not know, but they need to be 3 miles from my home.
Output: | That is ok I just moved here from France! | 1 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.19519490003585815,
-0.052231788635253906,
-0.5804468989372253,
0.17468106746673584,
0.23068812489509583,
0.29256683588027954,
0.5074970722198486,
0.18510618805885315,
-0.3991491496562958,
-0.41127556562423706,
-0.2524729371070862,
0.11932173371315002,
0.16513366997241974,
-0.397897362709... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example Input: i mam nadzieję, że zastanowicie się zanim powiecie "" nie "".
Example Output: و از شما میخواهم پیش از رد کردن آن کمی درباره اش فکر کنید.
Example Input: Myślę, że implikacje są przemożne, zarówno dla nauki, jak i handlu, rządu, a może nawet najbardziej dla nas jako jednostek.
Example Output: و به نظر من مفاهیم در اینجا بسیار عمیق هستند ، خواه برای علم باشه ، یا برای تجارت ، یا دولت و قطعا بالاتر از همه ، برای ما به عنوان افراد.
Example Input: Zmieniały się proporcje dostępnych tkanek.
Example Output: | چه مقدار از تغییر در بافتها مشاهده میشود.
| 3 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.5555408000946045,
0.5187653303146362,
0.14107045531272888,
-0.1730332374572754,
-0.39689508080482483,
-0.5744081735610962,
1.4089982509613037,
-0.15799745917320251,
0.15564203262329102,
0.44297802448272705,
-0.34745338559150696,
0.5845414996147156,
-0.8464449644088745,
0.232096657156944... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
[EX Q]: we were unable to find anyone with that name and location .
[EX A]: no one was found with this name and location .
[EX Q]: 'trouble is , we do n't have any idea where the float may be . '
[EX A]: `` the thing is , we have no idea where the boat can be . ''
[EX Q]: an older gentleman signed the register and paid a week in advance .
[EX A]: | a senior man signed into the book and paid for the week ahead .
| 6 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.242410346865654,
0.79603111743927,
-0.1930154263973236,
-1.084364652633667,
-0.2656151056289673,
-0.7180665731430054,
1.560448408126831,
-0.07830706238746643,
0.23823991417884827,
-0.34735238552093506,
0.34195369482040405,
-0.02256040647625923,
-0.5605413317680359,
0.4091348648071289,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Pozwólcie zatem, że zaproponuję dwa uzupełniające się podejścia prowadzące do zmiany istniejących realiów. | And so now let me suggest two complimentary approaches to changing the reality of the situations. | 0 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-1.2144899368286133,
0.5531798601150513,
0.5349690318107605,
-0.26030299067497253,
-0.17630767822265625,
-0.47478583455085754,
1.022567868232727,
-0.13637597858905792,
0.7175641059875488,
-0.7562002539634705,
-0.20099787414073944,
0.026454277336597443,
-0.8108465671539307,
0.18340599536895... |
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 English.
מונטריי היא אחת מהם.
Solution: Monterey is one of those.
Why? The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.
New input: התשובה שלו היתה מאוד מעניינת.
Solution: | And his answer was very interesting. | 0 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.15474779903888702,
0.4452543258666992,
0.6000688076019287,
-0.4219285547733307,
-0.24100768566131592,
-0.2920069098472595,
0.5143030881881714,
-0.026987537741661072,
1.1036382913589478,
-0.6833895444869995,
-0.258192777633667,
-0.0642772912979126,
-0.5187499523162842,
0.362318217754364,... |
Detailed Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Q: Jag vill avslutningsvis gärna kommentera en tredje sak som också är väsentlig, nämligen ett ändringsförslag framlagt av ledamoten Ari Vatanen.
A: | Swedish | 9 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.0063118962571024895,
0.374582976102829,
0.7698752880096436,
-0.048579175025224686,
0.3710049092769623,
-0.6283335089683533,
0.6638575792312622,
0.7398749589920044,
0.6370024085044861,
0.12005584686994553,
0.08952134847640991,
0.2642592787742615,
0.09323973953723907,
-0.3684768080711365,... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Example: jump left
Example solution: I_TURN_LEFT I_JUMP
Example explanation: The agent must first turn left and then jump in order to jump to the left.
Problem: run around right thrice after walk around right
| Solution: I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN | 5 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.1637745052576065,
0.6384672522544861,
-0.3490002155303955,
-0.0940852239727974,
0.05860097333788872,
-0.04565306380391121,
0.40884095430374146,
-0.04743039608001709,
-0.17135995626449585,
-0.4403841197490692,
-0.8538501262664795,
-0.3982255756855011,
-0.7618491649627686,
-0.1997603476047... |
Definition: In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: 那人在大厅里寻路，该找谁呢？
Options: A 商业计划 B 太阳 C 办公楼 D 接待员 E 大楼
Output: | D | 2 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
-0.3119073212146759,
0.24265703558921814,
-0.654869019985199,
-0.4829898178577423,
-0.2663210332393646,
0.11418047547340393,
0.3139670193195343,
0.16265654563903809,
0.46908697485923767,
-0.1715591847896576,
-0.3737580180168152,
0.17199161648750305,
0.7981319427490234,
-0.19171421229839325... |
You will be given a definition of a task first, then some input of the task.
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.
Evelyn entered the attic. Oliver entered the attic. Phone rang. The pear is in the blue_box. Oliver exited the attic. Evelyn moved the pear to the green_envelope. Evelyn exited the attic. Oliver entered the attic. Where does Evelyn think that Oliver searches for the pear?
Output: | blue_box | 1 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.2636926472187042,
-0.07530536502599716,
-0.3535364270210266,
-0.3483918309211731,
-0.214657723903656,
0.04136247932910919,
0.7216050624847412,
0.4391046464443207,
0.3216736316680908,
-0.397471159696579,
-0.6129124164581299,
0.1673881709575653,
-0.2188068926334381,
-0.10704401135444641,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example Input: Reviews: These are nice brushes but not hard enough to make a crisp line for your brows. Soft - I use them for shadow.
Summary: This bra looked great when I first tried it on and seemed to ...
Example Output: False
Example Input: Reviews: dont buy this piece of crap. i got one and it stopped working within a week so i thought that it was just a bug and returned it and got another. The second lasted a little longer but it stopped working and turned to a piece of shit. Terrible company and terrible product. Go buy a surface pen and save your time
Summary: dont buy this piece of crap. i got one and it stopped working within ...
Example Output: True
Example Input: Reviews: The ice coffee setting does not work properly. It barely puts out enough coffee for a shot glass reguardless of the serving size it is set on. The regular and rich brew setting works great.
Summary: Great idea and so happy they offer these but not ...
Example Output: | False
| 3 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.2315686047077179,
0.30019810795783997,
-0.18411462008953094,
-0.2710092067718506,
0.006051986012607813,
-0.4170365333557129,
1.0363502502441406,
0.9536168575286865,
0.0735529214143753,
0.2416839301586151,
-0.59800124168396,
-0.25702154636383057,
-0.49005600810050964,
-0.4143357276916504... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX casts ___ into the water
pebbles
PersonX sends ___ to the principal
his son
PersonX manages PersonX's ___ well
| restaurant
| 0 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
0.27349817752838135,
1.3255305290222168,
-0.3562362790107727,
-0.7890651822090149,
-0.09543117880821228,
-0.5592954158782959,
0.8769935369491577,
0.057926781475543976,
-0.1541038304567337,
-0.9242318868637085,
-0.09511702507734299,
-0.3669709861278534,
-0.6307531595230103,
0.09072516858577... |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[[5, 1, 2, 7], [0, 4, 6, 6], [7, 8, 10, 3, 1], [1, 4]]
Solution: [70, 0, 1680, 4]
Reason: The second list had zero so the second product is zero. Every product is calculated correctly: 5x1x2x7= 70, 7x8x10x3x1=1680, 1x4=4.
Now, solve this instance: [[37, -22, 8, -4, 13], [-21, 3, 37], [-15, 15, 0]]
Student: | [338624, -2331, 0] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.0617126040160656,
0.4642521142959595,
-0.34517860412597656,
-0.30186349153518677,
0.3605707883834839,
-0.3156442642211914,
0.8080276846885681,
0.5037100911140442,
-0.2104097604751587,
0.047126300632953644,
-0.32405325770378113,
-0.3969138264656067,
-0.5227246880531311,
-0.827023863792419... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.
Example input: mountain#ski#skier
Example output: Skier skis down the mountain
Example explanation: Generated sentence as output is based on all three concepts "mountain", "ski", and "skier" given in the concept set.
Q: add#wall#way
A: | ways to add color to the wall | 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.6363372802734375,
0.37998726963996887,
-0.6393052339553833,
-0.03995579108595848,
-0.15806081891059875,
-0.5277520418167114,
0.12320257723331451,
0.6298340559005737,
0.21108223497867584,
-0.39189040660858154,
-0.17715424299240112,
0.5598875880241394,
-0.28133291006088257,
0.168647795915... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
Example: [[6, 3, 8], [7, -5]]
Example solution: [13, -2, 8]
Example explanation: We start by summing up the first elements of all the lists: 6 + 7 = 13, so the first element of the output is 13. For the second element of the output, we sum up the second elements of all the lists: 3 + (-5) = -2. One of the lists doesn't have a third element, so the third element of the answer is: 8 + 0 = 8.
Problem: [[-57, 71, 9, -14, 71], [33, -45, 76, 17], [-76, -2, -28, 21, -76, -3, -73, -52, -78], [-67, 56, -19, 4, -74, -99], [38, 7, 42, 58, 4, 74, -79, 38]]
| Solution: [-129, 87, 80, 86, -146, 43, -152, -14, -78] | 5 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.40759360790252686,
-0.08162727952003479,
-0.5725328326225281,
-0.29232001304626465,
0.10799168050289154,
0.1260969340801239,
0.663585901260376,
0.6916173100471497,
-0.40723416209220886,
-0.12545894086360931,
-0.6464043259620667,
-0.0472099632024765,
-0.2830238342285156,
-0.32685011625289... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Given Sentence 2: Two men rushed into the store and held their guns up.
Solution: Yes
Why? People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'.
New input: Sentence 1: Ben came to the hospital after his doctor called.
Sentence 3: As depressed as Ben was, he had to make some tough decisions
Sentence 4: He decided to undergo more chemotherapy with radiation
Sentence 5: After 1-2 years, he regained remission
Given Sentence 2: Unfortunately, she told him about his cancer relapse.
Solution: | Yes | 0 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.23829685151576996,
0.1910811960697174,
-0.1724645346403122,
0.24392332136631012,
0.5459568500518799,
-0.3711024224758148,
0.20449692010879517,
1.5305811166763306,
0.3391631841659546,
-0.04609943926334381,
-0.2497180998325348,
-0.3432948589324951,
-0.5314654111862183,
0.00208195857703685... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
[EX Q]: Concept: missile, Relatum: vehicle.
[EX A]: hyper
[EX Q]: Concept: dress, Relatum: robe.
[EX A]: coord
[EX Q]: Concept: catfish, Relatum: young.
[EX A]: | attri
| 6 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.10683605074882507,
0.01756744273006916,
0.13184860348701477,
0.04346752166748047,
-0.7068150639533997,
-0.09824901074171066,
0.22884851694107056,
0.5604974031448364,
0.07910441607236862,
-0.7017361521720886,
-0.6092418432235718,
0.1351337730884552,
-0.7054438591003418,
0.4176055788993835... |
Teacher:In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Teacher: Now, understand the problem? Solve this instance: نبرد من کتابی، که توسط آدولف هیتلر نوشته شدهاست، و بیانگر اندیشههای سیاسی هیتلر و ناسیونال سوسیالیسم میباشد. هیتلر در سال ۱۹۲۴ هنگامی که در قلعه لندربرگ زندانی بود بخش نخست کتاب را با دیکته کردن جملات به منشی خود رودلف هس به وجود آورد. بخش دوم، پایان همان سال پس از آزادی زودهنگام او از زندان نوشته شد. پس از به قدرت رسیدن حزب ناسیونال سوسیالیسم در آلمان و تشکیل «رایش سوم» این متن به کتاب مقدس حکومت نازی تبدیل شد و حزب در هر فرصتی، از جمله در مراسم ازدواج و اخذ مدرک دیپلم، آن را در میان مردم پخش میکرد و پیر و جوان را به خواندن آن فرا میخواند. در سال ۱۹۴۳، بیش از ۱۰ میلیون نسخه از این کتاب در آلمان پخش شد. با قدرت گرفتن ناسیونال سوسیالیستها در آلمان، فروش و توزیع نبرد من نیز رواج گرفت. از اواسط دهه ۱۹۳۰ کتاب هیتلر به خرج دولت به زوجهای تازه ازدواج کرده هدیه میشد، فروش نسخههای دست دوم کتاب ممنوع بود و تدریس آن در مدرسهها به عنوان جزئی از برنامهٔ تبلیغاتی حزب ناسیونال سوسیالیست از همین دوران آغاز شد.
Question: هیتلر بخش اول کتاب نبرد من را در کجا نوشت؟
Student: | True | 6 | NIv2 | task396_persianqa_classification | zs_opt | [
0.20212067663669586,
0.07071264833211899,
-0.16493511199951172,
0.014965592883527279,
0.0434817336499691,
-0.04641062766313553,
1.2489650249481201,
1.179107666015625,
0.394755482673645,
-0.566059947013855,
-1.0613033771514893,
0.6926586627960205,
-1.3214941024780273,
-0.1913735568523407,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Ex Input:
Context Word: immune system.
Ex Output:
Sentence 1: PersonX had a strict regimen of taking supplements but PersonY didn't take any. _ had a strong immune system.
Sentence 2: PersonX had a strict regimen of taking supplements but PersonY didn't take any. _ had a weak immune system.
Ex Input:
Context Word: crutches.
Ex Output:
Sentence 1: Out of fear, PersonX knocked the crutches out of PersonY's hand because _ was afraid.
Sentence 2: Out of fear, PersonX knocked the crutches out of PersonY's hand because _ was threatening.
Ex Input:
Context Word: automobile.
Ex Output:
| Sentence 1: A flashy automobile is what PersonX drives but not PersonY because _ makes more money.
Sentence 2: A flashy automobile is what PersonX drives but not PersonY because _ makes less money.
| 1 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.11623866856098175,
0.40998589992523193,
-0.054336193948984146,
-0.0648876205086708,
0.2975945472717285,
-0.5924178957939148,
0.7753016948699951,
0.9572800993919373,
-0.15891066193580627,
-0.5816985368728638,
-0.7446779608726501,
-0.07417401671409607,
-0.7893972992897034,
0.16628018021583... |
In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence.
Example input: 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 .
Question: what is named after something?
Example output: The album
Example explanation: The output answers the question given as it is the album that is named after the discredited pseudoscience of phrenology. It is a continuous text span from the sentence and it does not use outside knowledge. Here the album is the answer that answers the what part of the question.
Q: Sentence: When Beuerlein called the play in the huddle , it elicited more laughter from his offense , followed by criticism of the call , when he told them , `` Hey guys , I 'm serious ... do your job . ''
Question: who should do something?
A: | guys ### them | 3 | NIv2 | task1520_qa_srl_answer_generation | fs_opt | [
-0.40016990900039673,
0.9788026809692383,
0.14284706115722656,
-0.2841896414756775,
-0.3885764479637146,
-0.5626085996627808,
0.2568313777446747,
0.18441930413246155,
0.24291308224201202,
-0.7120237946510315,
-1.563476800918579,
0.1867300271987915,
-0.7185754776000977,
-0.3785906732082367,... |
Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.
Input: city#fly#helicopter
Output: | helicopter flying over a city | 3 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.9236058592796326,
0.46806663274765015,
-0.1788484752178192,
-0.563040554523468,
-0.07099699974060059,
-0.7531250715255737,
0.6283924579620361,
0.6801605224609375,
-0.13923288881778717,
-0.3622778356075287,
-1.024770736694336,
0.21025118231773376,
-0.44325152039527893,
-0.144210457801818... |
Definition: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: The retailer said it came to the decision after hearing the opinions of customers and associates ., Sentence2: The decision came after " listening to our customers and associates , " Melissa Berryhill , a spokeswoman for Wal-Mart , said .
Output: | Yes | 2 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.2615581750869751,
0.19569122791290283,
0.19785651564598083,
0.29515179991722107,
0.2068455070257187,
-0.8785922527313232,
0.6341233253479004,
0.15378513932228088,
0.39299681782722473,
0.2622855305671692,
-0.11361562460660934,
0.023406468331813812,
-0.32752591371536255,
-0.19986082613468... |
Definition: In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in the same order that they appear in the text, separated by commas. If no information about the interventions is mentioned, just answer with "not found". Interventions are: a specific drug, surgery, talking therapy, a lifestyle modification, control or placebo treatment. Do not include details, dosages, frequency and duration, intervention mentions that are not in an informative span of text.
Input: Comparison of weakness progression in inclusion body myositis during treatment with methotrexate or placebo .
Output: | methotrexate, placebo | 2 | NIv2 | task180_intervention_extraction | zs_opt | [
0.3575264811515808,
0.3016442656517029,
-0.48477399349212646,
-0.795754611492157,
0.2224423587322235,
-0.19671043753623962,
0.9030205011367798,
0.5259308218955994,
0.852465033531189,
0.36123913526535034,
-1.1081137657165527,
-0.11973381787538528,
-0.21019354462623596,
0.062133271247148514,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Cotone: l'Uzbekistan è il secondo esportatore di cotone al mondo. | Bawełna: Uzbekistan jest drugim największym eksporterem bawełny na Ziemi. | 0 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
0.09443023055791855,
1.1577513217926025,
-0.03379194810986519,
0.41381561756134033,
-0.384477436542511,
-0.1677212417125702,
-0.574140191078186,
0.15977239608764648,
-0.6158819198608398,
0.0018237009644508362,
-0.4567279815673828,
1.212673544883728,
-0.14716185629367828,
0.5755658149719238... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).
Hindi: विश्व असल में काफ़ी गडबड जगह है।
English: But sports still remained the neglected area of his activity , a fact which he regretted for the rest of his life .
Output: | No | 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.6686704754829407,
0.15994420647621155,
0.816156268119812,
0.1860107034444809,
0.5154492855072021,
-0.41561368107795715,
0.19202762842178345,
0.10993939638137817,
-0.4349585175514221,
-0.34371417760849,
-0.6054139137268066,
0.2588527202606201,
-0.9004137516021729,
0.5141438245773315,
0... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Example: Paragraph: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Title: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Example solution: True
Example explanation: The answer is true because the title of the paragraph is correct where it described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.
Problem: Paragraph: This study investigates property securities bubbles and crashes by using a dynamic mathematical methodology developed from the previous research (Watanabe et al. 2007a, b [31,32]). The improved model is used to detect the bubble and crash periods in five international countries/cities (namely, . By this model definition, we are able to detect the beginning of each bubble period even before it bursts. Meanwhile, the empirical results show that most of property securities markets experienced bubble periods between 2003 and 2007, and crashes happened in Apr 2008 triggered by the Subprime Mortgage Crisis of US. In contrast, Japan suffered the shortest bubble period and no evidence has documented the existence of crash there.
Title: Physica A A dynamic mathematical test of international property securities bubbles and crashes
| Solution: True | 5 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.5235980749130249,
0.3640207052230835,
-0.39224374294281006,
0.31205517053604126,
0.5581597685813904,
0.22284261882305145,
0.5139299035072327,
1.0255792140960693,
-0.5043284296989441,
0.9506490230560303,
-0.521100640296936,
1.0891048908233643,
-0.2202831506729126,
0.2017134577035904,
0.... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about translating a given French language sentence to English.
Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Solution: You did such a great thing today, why are you avoiding me?
Why? This is a good example because the French sentence has been translated correctly to English.
New input: Donc ça dépend si vous voulez celui à l'arrière qui est le plus brillant, avec le son le plus aigu, ou le plus proche du manche, appelé de façon surprenante "micro manche", qui donne le son le plus bas, le plus grave.
Solution: | So depending on whether you want to use the back one which is the brightest, most trebbley sort of sound or the one nearest the neck, surprisingly called the neck pick up, this one's kind of got the bassiest and fatest sound. | 0 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.6683782339096069,
0.8367235660552979,
0.12410750985145569,
-0.09903682768344879,
0.5272473692893982,
-0.15530961751937866,
0.44615620374679565,
0.15778188407421112,
0.21396754682064056,
0.20638108253479004,
-0.3201640844345093,
0.3303835391998291,
-0.3760893940925598,
0.365974485874176,... |
Part 1. Definition
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Part 2. Example
A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home.
When Kang, a junior studying computer science at the University of Michigan, heard that the refugee pictured and his family were relocating to his hometown of Troy, Mich., he said he knew he had to help.
“I was really inspired by how intelligent he was and I knew a lot of people wanted to welcome him, so I thought, why not it be me?” he said.
On the Humans of New York Facebook page with over 16 million likes — including comments from President Obama — the seven-part picture series’ captions detail one Syrian scientist and his family’s tale of loss after a missile strike destroyed their home, forcing them to to flee to Turkey, now with plans of coming to the United States.
“Everything ended for us that day. That was our destiny. That was our share in life,” the scientist said. Battling stomach cancer, the loss of a home, career and seven family members, the man, whose name remains confidential to protect his identity as a refugee, expressed his hope for a new life in the United States.
“I learned today that I’m going to Troy, Michigan,” he said. “I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science. I just want to get back to work. I want to be a person again. I don’t want the world to think I’m over. I’m still here.”
Knowing that refugees come to the United States with little more than they can carry, Kang quickly organized a crowdfunding campaign to help establish the man in his new home.
In four days, the GoFundMe page has raised over $16K in donations from over 700 people. On Saturday afternoon, actor Edward Norton also began a fundraiser for the scientist, raising even more for the refugee who says he “just wants to be a person again.”
“The response has been overwhelmingly positive,” said Kang. “A lot of people thanked me for doing a nice thing but I really feel like I was doing what anyone else would have done.”
Kang said he’s received many messages from people expressing their gratitude, those who want to reach out to the man personally, as well local companies interested in working with the scientist. This includes invitations to lecture at local colleges, research job opportunities and potential help from local medical facilities in treating the man’s stomach cancer.
“There’s definitely a lot of interest in helping him out,” he said.
The biggest concern, said Kang, are those skeptical of how the money will reach the man.
Kang, who has successfully crowdfunded in the past, is working closely with GoFundMe, the local refugee relocation agency Lutheran Social Services of Michigan, and is in communication with the Humans of New York staff to make sure all funding goes to the scientist.
In the end, Kang said he just hopes the scientist receives the welcome he deserves.
“If I could talk to him right now, I’d just tell him how sorry I am for everything he’s been through and that he’s coming to a great place. One of the things he said that resonated with me the most is that ‘I hope Troy is a place that appreciates science.’
I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist and we can’t wait to have him.”
Oona Goodin-Smith is a student at Oakland University and a member of the USA TODAY College contributor network. ||||| I saw this story on one of my favorite sites, Humans of New York, and it moved me to tears. This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world. If we don’t welcome people like this into our communities and empower his dream of making an impact with his life, then we’re not the country we tell ourselves we are. Let’s reject the 'anti-human’ voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let’s show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
Everything we raise here will go to help this family so that the father can get the medical treatment he needs to live and pursue his work, and his family can build a new stable life after their tragedy, and…as the Scientist beautifully expresses…to support his dream of contributing to the world.
Thanks to Humans of New York for sharing these stories. Thanks to the team at CrowdRise for putting this together and figuring out how to get even the credit card transaction fees covered so we can get the maximum to the family.
Thanks to everyone who rallies together to create the power of the crowd. If enough of us kick in the price of two frappucinos, we can probably transform the experience of this family and show them that life can deliver healing and kindness, not just heartbreak.
Thanks to Benevolent, all donations are tax-deductible. We will work with Benevolent to use all donated funds to help this family and will seek to use any excess or unused funds to help the other 11 profiled in the HONY ‘Syrian American’ series.
Edward Norton ||||| DETROIT, MI -- Moved to tears by a Humans of New York feature on a Syrian refugee fleeing to Metro Detroit, Hollywood actor Edward Norton launched an online fundraiser that had raised nearly $450,000 for the widower and his four children as of Thursday afternoon.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," the man told NBC News after hearing about the fundraiser's success. "There are people outside who need that money much more than me."
The man asked NBC to refer to him as "Abu Ammar," a fake named used to protect his relatives who remain in Syria. He's known to many on the Internet simply as "The Scientist," which is also his profession.
The refugee's family was scheduled to arrive in Troy, a Detroit suburb, Thursday. He and four surviving children spent the last two years in Instanbul, Turkey. They fled civil-war-torn Syria after the man's wife and one of his daughters were killed in a missile attack on April 6, 2013.
His is one of 12 families featured by Humans of New York and cleared to resettle in the U.S.
"I learned today that I'm going to Troy, Michigan," the man told Humans of New York. "I know nothing about it. I just hope that it's safe and that it's a place where they respect science. I just want to get back to work. I want to be a person again. I don't want the world to think I'm over. I'm still here."
The story made rounds throughout the Internet and even garnered a response from President Barack Obama's official Facebook page:
As a husband and a father, I cannot even begin to imagine the loss you've endured. You and your family are an inspiration. I know that the great people of Michigan will embrace you with the compassion and support you deserve. Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here. Welcome to your new home. You're part of what makes America great.
,Norton, known for his roles in movies like "Fight Club" and "Birdman," wrote in the description of his online fundraiser:
If we don't welcome people like this into our communities and empower his dream of making an impact with his life, then we're not the country we tell ourselves we are. Let's reject the 'anti-human' voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let's show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
(6/7) “I had no problems before the bombing. I think the cancer came from my sadness and my stress. It’s in my... Posted by Humans of New York on Tuesday, December 8, 2015 ||||| ISTANBUL — The grieving refugee who touched hearts as "The Scientist" on the Humans of New York blog only mustered a brief smile when told that a Hollywood star had helped raise $450,000 for him.
Hours before flying to Michigan to start a new life in the U.S. on Thursday, the cancer-stricken Syrian civil engineer glanced down.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," he said after NBC News revealed the crowdfunding appeal. Oscar-nominated actor Edward Norton was moved to tears after reading the refugee's biography on the photography site last week and launched the fundraiser.
"There are people outside who need that money much more than me," The Scientist said, displaying the sort of compassion and humility that helped his story go viral.
The Scientist, who asked NBC News to refer to him as "Abu Ammar" to protect family in Syria, said his life was shattered by a bomb that killed his wife and daughter just under three years ago.
He was later diagnosed with stomach cancer, and has had to care for five remaining children.
They include a teenage son, who is still reeling after watching his mother die, and a daughter who carries inside of her shrapnel from the attack on April 6, 2013.
"When a bomb drops you don't know where it comes from," he said. "There is no question our lives changed after that ... 180 degrees. I am mentally tired, in overwhelming sadness."
“ As long as there are good people in the world … then we can stop this bloodshed”
On Thursday, Abu Ammar and four of his children flew to Troy, Michigan, as part of a United Nations refugee resettlement program.
For about two years, the family had been living close to destitution in Turkey. But the drive to succeed still lingers, Abu Ammar said.
"I've had ambitions since I was a child, and right now I'm still that same child with the same ambitions," he said. "But I still have a message — sometimes when I'm talking to myself I say, 'No, I'm not supposed to die. I need to live long enough to realize my message to humanity.'"
Abu Ammar's story on Humans of New York, a popular blog started in 2010 that spawned a bestselling book, prompted an outpouring of compassion. Even President Barack Obama contributed, calling Abu Ammar and his family an "inspirations" on HONY's Facebook page.
"Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here." Obama wrote. "Welcome to your new home. You're part of what makes America great."
Last night President @BarackObama wrote a very sweet welcome note to the scientist in Tuesday's story. pic.twitter.com/ZGrn3gOdR7 — Brandon Stanton (@humansofny) December 10, 2015
Norton, who starred in "Birdman," "Fight Club" and "American History X," set out to help pay The Scientist's medical expenses.
"This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world," Norton wrote.
The resettlement of Syrian and Muslim refugees in the United States is controversial, especially in the aftermath of attacks by Islamic extremists in Paris and San Bernardino. Some politicians — notably GOP presidential hopeful Donald Trump — have called for a ban on Muslims entering the country.
Abu Ammar told NBC News he didn't know anything about the debate over Muslims and immigration raging in the U.S. He also didn't have a solution to the war raging in his home country.
"I don't like to get into politics because I am a man of science, and I can separate science and politics completely," he said. "But as long as there are good people in the world, and everyone looks into his or her conscience, then we can stop this bloodshed."
Abu Ammar added: "No one benefits from people dying, and wars overall never benefit anybody — so let's hope God can help everyone and put out this fire." |||||
Answer: A Syrian refugee whose moving story went viral earlier this month starts his new life in Troy, Michigan, on Thursday, NBC News reports. The refugee—who wants to keep his real name out of the media to protect family members still in Syria—is known as "The Scientist" on the blog Humans of New York, where he was first profiled. "I learned today that I’m going to Troy, Michigan," The Scientist told HONY. "I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science." According to MLive, The Scientist left Syria in 2013 after a bomb killed his wife and one of his daughters. Since then, he's been diagnosed with stomach cancer and was barely scraping by in Turkey. Despite being "in overwhelming sadness," he and his surviving children are hoping for a new start in the US, he tells NBC. Thanks to his story—which even got the attention of President Obama—The Scientist will have some help to get that new start. NBC reports actor Edward Norton was moved to tears after reading The Scientist's story and started a crowdfunding page that has raised nearly $450,000. "I didn't hear about it, but I want to thank him very much from the humanity perspective," The Scientist says. "There are people outside who need that money much more than me." A Michigan college student was also inspired to help after hearing The Scientist would be moving to his hometown, according to USA Today. His fundraising page has raised more than $16,000. "I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist, and we can’t wait to have him," Daniel Kang says.
Explanation: This is a good example. The output correctly summarizes the articles.
Part 3. Exercise
These crawls are part of an effort to archive pages as they are created and archive the pages that they refer to. That way, as the pages that are referenced are changed or taken from the web, a link to the version that was live when the page was written will be preserved.Then the Internet Archive hopes that references to these archived pages will be put in place of a link that would be otherwise be broken, or a companion link to allow people to see what was originally intended by a page's authors.The goal is to fix all broken links on the web . Crawls of supported "No More 404" sites. ||||| These crawls are part of an effort to archive pages as they are created and archive the pages that they refer to. That way, as the pages that are referenced are changed or taken from the web, a link to the version that was live when the page was written will be preserved.Then the Internet Archive hopes that references to these archived pages will be put in place of a link that would be otherwise be broken, or a companion link to allow people to see what was originally intended by a page's authors.The goal is to fix all broken links on the web . Crawls of supported "No More 404" sites. ||||| This Bird Can Remain Airborne For 10 Months Straight
Enlarge this image toggle caption Stefan Berndtsson Stefan Berndtsson
Scientists have long suspected that the common swift remains airborne for extraordinary amounts of time during its annual migration.
Now, a team of scientists in Sweden has proved that these birds fly for tremendously long periods of time. They affixed data loggers onto a total of 19 of the master fliers in 2013 and 2014, and recaptured the birds months or years later. Researchers found that the birds can spend almost their entire 10-month nonbreeding period on the wing.
The data loggers gathered information on acceleration and flight activity, and those installed in 2014 also included light trackers for geolocation.
The results were astonishing. For example, according to research published in Current Biology, one of the birds stopped for just four nights in February in 2014 — and the next year it stopped for only two hours. Other birds stopped for longer periods of time. But "even when swifts settle to roost," the researchers say, "the amount of time not flying is very small."
The birds are known to travel from Europe to sub-Saharan Africa — but they apparently don't touch down there, as National Geographic reports. Researchers say they have never found roosting sites in sub-Saharan Africa.
The scientists say that the rarity of the stops during nonbreeding season suggests that the bird may only take a pause because of bad weather. The fact that some birds fly continuously during nonbreeding periods indicates that the species may not actually need to land for sleep. In fact, it's unclear "when and to what extent swifts need to sleep," the paper states.
"They feed in the air, they mate in the air, they get nest material in the air," researcher Susanne Åkesson from Lund University in Sweden tells National Geographic. "They can land on nest boxes, branches, or houses, but they can't really land on the ground."
The birds' shape contributes to this finding; their "wings are too long and their legs are too short to take off from a flat surface," the magazine reports.
The researchers suggest that one driving force behind the bird's incredibly long flights could be its diet. "[S]pecializing in high-altitude aerial insects as a main food source requires the suite of adaptations for efficient flight shown by swifts, ... which compromises terrestrial locomotion and make swifts vulnerable to predators and parasites had they been landing more often," the paper states.
This may remind some eagle-eyed readers of another species with extraordinary flight habits: the frigatebird. As NPR's Christopher Joyce recently reported, those aquatic birds can "stay aloft for weeks at a time," and fly to heights thousands of meters above the sea. And in a recent study, "one of the tagged birds soared 40 miles without a wing-flap." ||||| Every July, young common swifts leave their European roosts and migrate to western and central Africa. They’ll only be back in the following June, and they’ll spend the intervening 10 months almost continuously in the air. They might travel to Africa, but their feet never meet African soil.
“They feed in the air, they mate in the air, they get nest material in the air,” says Susanne Åkesson from Lund University in Sweden. “They can land on nest boxes, branches, or houses, but they can’t really land on the ground.” That's because their wings are too long and their legs are too short to take off from a flat surface.
View Images Common swifts soar in Merseyside, England. Photograph by Alan Williams, Nature Picture Library
As a result, common swifts are among nature’s greatest aeronauts, superbly adapted for a life spent largely in the skies.
People have long suspected that swifts stay airborne for long stretches of time, but no one could confirm it. Åkesson and her husband, Anders Hedenström, both from Lund University, did so by fitting 19 of the birds with lightweight data loggers in 2013, and recapturing them one or two years later. The loggers had regularly recorded local light levels, which the duo could use to pinpoint the birds’ global position. And they had recorded the swifts’ acceleration, activity, and body positions, which revealed if they were flying or resting.
The data revealed that some swifts were almost never inactive during their long migrations. For example, between September 2013 and April 2014, one of the birds rested for just four nights in February. The following year, it never rested for a full night; over the same period, it stopped for just two hours.
View Images A common swift (Apus apus) at the Budapest Zoo Photograph by Joel Sartore, National Geographic Photo Ark
A few other swifts did rest more often. Åkesson and Hedenström suspect that this was because they hadn’t finished replacing their wing and tail feathers during their annual molt. The old feathers might have compromised their ability to stay permanently aloft, or their inability to molt fully might reflect some underlying health problem that affected their flight. Either way, it’s not like they were actually grounded. If they rested, it was just for a few hours. At most, they spent just 0.64 percent of their migration on terra firma.
Other scientists have found similar results. In 2013, Felix Liechti from the Swiss Ornithological Institute used similar data loggers to show that three alpine swifts probably flew nonstop for 200 days, on their long migration from Switzerland to Africa and back again. That was especially surprising because alpine swifts are twice the size of common swifts, with wingspans of up to 22 inches.
Such long nonstop flights imply that swifts must be able to sleep while flying. This August, Niels Rattenborg of the Max Planck Institute for Ornithology in Germany proved that frigate birds—large seabirds with piratical tendencies—do the same. He fitted brainwave sensors to 15 frigatebirds and showed that they sleep mid-flight, for about 40 minutes a day and just a few seconds at a time.
There’s no brain sensor small enough to record their mental activity of a flying swift, but they surely must be taking midair naps too. Maybe they do what dolphins do, sending one half of their brains to sleep at a time so they can stay continuously alert. |||||
Answer: | The common swift makes its cousin's six months in continuous flight look like nothing more than a hop, skip, and a jump. The tiny bird easily steals the record for longest continuous flight by spending 10 months in the air without landing once, reports NPR, by way of a study in Current Biology. In 2013, researchers at Sweden's Lund University strapped adult swifts with accelerometers that recorded when the birds flapped their wings and discovered that they spent all but two months of the year aloft, even as they migrated across the equator and back. Some touched down briefly, probably during bad weather, but, overall, more than 99% of the 10-month nonbreeding period was spent in the sky. That means the fittingly-named birds—their species name, Apus, translates to "footless," reports Discover—ate moths and other insects to sustain themselves while in the air. It's clear they saved energy gliding on rising air, but researchers say it's possible they slept, too. Except to lay their eggs and raise their young, which swifts do for the other two months of the year, "there is no need for them to [land] unless … they encounter very bad weather," study author Anders Hedenström says, per the Los Angeles Times. Actually, swifts are rather clumsy on the ground and their wings and feet not well suited to taking off from a flat surface, reports National Geographic, so it's safer for them up in the air. (Migrating birds are in trouble.) | 7 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6392346024513245,
0.11020901799201965,
0.09322665631771088,
-0.031095195561647415,
1.0157651901245117,
-0.2299347221851349,
1.0883920192718506,
0.9584980010986328,
-0.45683252811431885,
0.7813372015953064,
0.06528200954198837,
0.27017742395401,
-0.10442877560853958,
0.6778194904327393,
... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggested by the system such as phone number, address, etc. Given such a dialogue, output a summary of the dialogue stating the criteria provided and details seeked by the user in this dialogue. The summary should strictly be in second person point of view. The summary should not contain any information that was not present in the conversation.
Q: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'coffee shop the city center'
System: 'Clowns is a great cafe and an outstanding restaurant. It's in the central part of town.'
User: 'address'
System: 'Clowns is on 54 King Street.'
User: 'type of food'
System: 'Clowns is a great restaurant.'
User: 'food type'
System: 'Clowns is a great venue. The price for main courses ranges from 5 pounds to 11 pounds and the price for a cappuccino is 1 pound 50.'
User: 'sil'
System: 'Clowns is a great restaurant.'
User: 'thank you goodbye'
A: | You want to find a coffee shop in the city centre. You don't care about the price range. You want to know the address and type of food of the venue. | 4 | NIv2 | task1499_dstc3_summarization | zs_opt | [
-0.12950310111045837,
0.6038307547569275,
-0.4158463478088379,
-0.18488259613513947,
0.021189868450164795,
-0.7918195724487305,
0.23830504715442657,
0.5119235515594482,
-0.1572936773300171,
0.10438700020313263,
0.5845006704330444,
-0.2861904501914978,
-0.12615610659122467,
-0.0362772531807... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example Input: Enviado para a prisão, insistiu de forma inflexível na sua inocência, coisa que fez consistentemente durante 21 anos.
Example Output: Rinchiuso in carcere, insistendo ostinatamente sulla propria innocenza, cosa che ha fatto ripetutamente per 21 anni.
Example Input: A perigosa história de Adichie, o mito da nação francesa?
Example Output: La pericolosa storia unica di Adichie, il mito della nazione francese.
Example Input: Significa "" grande nojo "" em malgaxe, por termos ficado enojados ao tentar apanhar esta espécie.
Example Output: | In malgascio significa "" grande malattia "", per quanto ci siamo ammalati cercando di raccogliere questa specie.
| 3 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.017423901706933975,
0.8091185092926025,
0.3586765229701996,
-0.0676787793636322,
-0.779094398021698,
-0.8919225931167603,
0.39025142788887024,
1.1039154529571533,
-0.5861694812774658,
-0.1514734923839569,
-0.9434558153152466,
0.23808903992176056,
-0.6928558349609375,
0.2704123258590698,... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
All of the information was not able to fit in my mind, because the _ was lacking. (A) information (B) mind | B | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.3608476519584656,
0.41136687994003296,
0.347184419631958,
-0.4168153405189514,
-0.39821553230285645,
-0.7713232040405273,
0.6270058155059814,
0.37582606077194214,
0.6261420845985413,
-0.17907774448394775,
-0.23669880628585815,
-0.4426875114440918,
-0.04655669257044792,
-0.119528442621231... |
You will be given a definition of a task first, then some input of the task.
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.
Antwerp International Airport serves the city of Antwerp.
Output: | Antwerp International Airport | 1 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.2415410280227661,
1.0560038089752197,
0.16693748533725739,
-0.6222346425056458,
-0.054065972566604614,
0.22808796167373657,
0.6887562274932861,
-0.0038070050068199635,
0.4826356768608093,
-0.27159494161605835,
-0.6555044651031494,
0.15847831964492798,
-0.985670268535614,
0.3169975280761... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.
--------
Question: সুমন সাহেব একজন নতুন ধন্দবাজ আওয়ামী লীগ। জাতে মাতাল তালে ঠিক, সুমন তালে ঠিক আওয়ামী লীগ।
Answer: political
Question: ভারতের কাশ্মীরে রোহিঙ্গাদের একটি বস্তিতে আগুন জন নিহত
Answer: non-political
Question: ভারতের উচিত এইসব অবৈধ রোহিঙ্গাদের খুঁজে দেশ থেকে দূর করে দেওয়া। দেখা যাচ্ছে এরা যেদেশে যাচ্ছে সেখানকার আইন শৃঙ্খলার অবনতি হচ্ছে। বাংলাদেশ মায়াম্মার আর ভারত এটা হাড়ে হাড়ে বুঝছে।
Answer: | non-political
| 7 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
0.02233973890542984,
-0.393206387758255,
0.39928704500198364,
0.3236732482910156,
-0.5287824273109436,
-0.47350695729255676,
0.21418099105358124,
0.04705405235290527,
-0.5699047446250916,
0.3176966607570648,
-0.034446969628334045,
0.15444378554821014,
-0.07648041844367981,
-0.4647052884101... |
Given the task definition, example input & output, solve the new input case.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. 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 classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Output: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.
New input case for you: ["let's", 'say', 'you', 'have', 'a', 'piece', 'of', 'chicken', "that's", 'been', 'lying', 'on', 'the', 'countertop', 'unrefrigerated', 'for', 'a', 'few', 'days', 'that', 'chicken', 'will', 'start', 'to', 'spoil', 'and', 'as', 'it', 'spoils', 'some', 'bacteria', 'will', 'start', 'to', 'grow', 'on', 'it', 'now', 'this', 'could', 'be', 'many', 'different', 'types', 'of', 'bacteria', 'but', 'the', 'one', 'that', 'I', 'want', 'to', 'focus', 'on', 'in', 'this', 'video', 'is', 'called', 'Staphylococcus', 'aureus', 'this', 'bacteria', 'is', 'responsible', 'for', 'causing', 'a', 'type', 'of', 'food', 'poisoning', 'known', 'as', 'staphylococcal', 'enteritis', 'if', "you've", 'ever', 'had', 'food', 'poisoning', "you'll", 'know', 'that', 'the', 'many', 'symptoms', 'include', 'things', 'like', 'diarrhea', 'vomiting', 'and', 'nausea', 'dehydration', 'and', 'a', 'fever']
Output: | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF'] | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3281756639480591,
-0.2152056097984314,
-0.10814182460308075,
0.29559528827667236,
0.5520943403244019,
-0.2533736824989319,
0.3937038481235504,
1.0149075984954834,
-0.8200831413269043,
0.0691865012049675,
0.2611870765686035,
-0.193048357963562,
-0.32674509286880493,
0.11944957822561264,
... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: 英国王立植物園からはしきりにゴムの木に近づかないように警告を受けました
Output: | کیو گاردنس اصرار داشت که من اجازه ندارم از شیره درخت کاووچو اش استفاده کنم | 2 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.3209657371044159,
0.36860114336013794,
-0.3161594271659851,
-1.3286525011062622,
-0.43432995676994324,
-2.005930185317993,
0.10538852214813232,
-0.08883798122406006,
-0.1320725679397583,
0.024233736097812653,
-0.8389715552330017,
0.5950210094451904,
-0.6437357664108276,
-0.02553716674447... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
One example: 1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar, 2 sticks unsalted butter, almost melted, 4 eggs, lightly beaten, 2 cups granulated sugar, 1/4 cup flour, 1/2 teaspoon baking powder, 2 teaspoons grated lemon zest, 1/3 cup fresh lemon juice, Candied violets for garnish, optional
Solution is here: flour, ground blanched almonds, lemon zest, confectioners sugar, butter, eggs, sugar, flour, baking powder, lemon zest, lemon juice, Candied violets
Explanation: Given the required ingredients, the ner of the recipe is generated. As the ingredients contain the quantities, if we just remove quantities from ingredients, we get the ner.
Now, solve this: 2 large eggs, 1/2 cup milk, 1/2 teaspoon salt, 1/4 teaspoon pepper, 4 slices Texas toast thick bread, white bread slices, 2 tablespoons butter or 2 tablespoons margarine, 4 tablespoons strawberry jam, 4 ounces thinly sliced deli cooked turkey, 4 ounces thinly sliced deli cooked smoked ham, 8 (3/4 ounce) swiss cheese, slices, powdered sugar
Solution: | eggs, milk, salt, pepper, bread, butter, strawberry jam, deli, ham, swiss cheese, powdered sugar | 6 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.34522879123687744,
0.47388625144958496,
-0.1405259370803833,
0.3934081792831421,
0.09755630791187286,
-0.3535865843296051,
0.4114973545074463,
0.4093368649482727,
-0.6873824596405029,
-0.10989658534526825,
-0.075589619576931,
-0.028870321810245514,
-0.8082407712936401,
-0.216921508312225... |
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.
Q: Head: PersonX leaves the ___ within hours<sep>Tail: none
A: Yes
****
Q: Head: PersonX bears ___ unto the PersonY<sep>Tail: To provide reliable testimony
A: No
****
Q: Head: PersonX invites several friends<sep>Tail: happy
A: | Yes
****
| 4 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.33720168471336365,
-0.0994940996170044,
0.18376794457435608,
0.20711109042167664,
-0.42971229553222656,
-1.3121628761291504,
1.5783061981201172,
0.49036094546318054,
-0.6698266267776489,
-0.7198339104652405,
-0.3267052173614502,
0.031751133501529694,
-0.8148109316825867,
0.61205238103866... |
Part 1. Definition
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Part 2. Example
How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of the draft today in US ?
Where is the oil plug in a 2004 Harley ?
Answer: How many miles is 43560 ?
Explanation: The output is from the list of given queries and it is not well structured and has grammatical errors when compared to other queries
Part 3. Exercise
What is the biggest national park in tennessee ?
What is vegimite made of ?
Where can you get the fuse box diagram for a 95 jetta III GLX ?
What did ladainian tomlinson ?
Answer: | What did ladainian tomlinson ? | 7 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.20869791507720947,
0.2708370089530945,
-0.2544468641281128,
0.0017101236153393984,
-0.4913746118545532,
0.1357133686542511,
0.7045978307723999,
-0.5516504645347595,
-0.14747217297554016,
-0.30470019578933716,
-0.5574766397476196,
-0.10227972269058228,
-0.24367035925388336,
-0.09158182144... |
Given a text, write a compressed version of it in a single sentence.
One example is below.
Q: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
A: "Except for this small vocal minority, we have not gotten a lot of groundswell against this," says APA president Zimbardo.
Rationale: Both texts convey the same meaning that they have not gotten much groundswell against this except for small minority.
Q: The advantages of membership begin now! By joining the Indiana Historical Society today as a $50 sustaining member you will be rewarded with a $10 Gift Certificate to spend as you like on Society books or merchandise.
A: | The advantages of membership begin now! By joining the IHS today as a $50 member you'll be rewarded $10 to spend on Society merchandise. | 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.211528480052948,
0.4943253993988037,
0.3543766736984253,
0.593563437461853,
0.1413651555776596,
-1.8581175804138184,
0.6257071495056152,
0.4123837649822235,
-0.07279384881258011,
0.2079501748085022,
-0.15093475580215454,
-0.24435636401176453,
-0.656936526298523,
-0.22303339838981628,
... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[34, 118, 51] | [51] | 0 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.43333369493484497,
0.5277950763702393,
-0.030815329402685165,
-0.6785531640052795,
0.3760519027709961,
-0.0781567245721817,
1.2455086708068848,
0.27275311946868896,
-0.40298664569854736,
0.4744790196418762,
-1.0123711824417114,
0.06489662081003189,
-0.3066956400871277,
-0.40541929006576... |
Definition: Translate the given Spanish text to English
Input: The processed difference signal is combined with a sum signal, generated from the left and right input signals, and the original left and right input signals to create enhanced left and right output signals.
Output: | La señal de diferencia procesada se combina con una señal de suma, generada desde las señales de entrada, izquierda y derecha, y las señales de entrada originales, izquierda y derecha, para crear señales de salida intensificadas, izquierda y derecha. | 2 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.5069830417633057,
-0.20207330584526062,
-0.816785454750061,
-0.1693527102470398,
-0.12321248650550842,
0.38796520233154297,
0.11623453348875046,
0.6966198682785034,
0.5368975400924683,
-0.12084463238716125,
-0.5356143116950989,
0.20748576521873474,
-0.2706591486930847,
0.123719379305839... |
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
Q: وَبا، مرگامرگی یا کالِرا (به انگلیسی: Cholera) یک عفونت در روده باریک است که از طریق آب توسط باکتری ویبریو کلرا ایجاد میشود. این باکتری با نوشیدن آب آلوده یا خوردن ماهی نپخته یا خوردن صدفها وارد بدن میشود. بیشترین راه انتقال وبا، سبزیهای آلودهاست. سبزیهایی که در هنگام کاشته شدن با کود انسانی تغذیه میشوند دارای بیشترین آلودگی هستند.<sep> Question: وبا چگونه وارد بدن میشود؟
A: با نوشیدن آب آلوده
****
Q: گل نرگس به جهت داشتن زیبایی و بوی ویژه مشهور است بطوریکه در سال ۱۹۹۲ میلادی در جشنواره گل هلند رتبه نخست را به خود اختصاص داد. اما در ایران به علت نبود آگاهی و عدم تبلیغ کافی از این گیاه و خاستگاه آن، اطلاعات کافی منتشر نشدهاست و با وجود همه مزیتهایی که گل نرگس دارد تاکنون این گل سهم ناچیزی از گردشگری گل را به خود اختصاص داده است. این گیاه پیازدار با ارتفاع بین ۳۰ تا ۴۵ سانتیمتر و با گلهای ۳ تا ۸ تایی در فصل زمستان به گل مینشیند حدود گلدهی نرگسهای بالاده ۴۵ روز یعنی از اوایل دی ماه تا اواسط بهمن ماه میباشد.<sep> Question: گل نرگس چه فصلی می روید؟
A: فصل زمستان
****
Q: کانادا (به انگلیسی و فرانسوی: Canada) کشوری در شمال قاره آمریکای شمالی است که از ده استان و سه قلمرو تشکیل شدهاست. این کشور از شرق تا اقیانوس اطلس، از غرب تا اقیانوس آرام و از شمال تا اقیانوس منجمد شمالی گسترده است و از جنوب با ایالات متحده آمریکا همسایه است. کانادا با مساحت ۹٬۹۸۴٬۰۰۰ کیلومتر مربع، دومین کشور پهناور جهان از نظر مجموع مساحت و چهارمین کشور پهناور جهان از نظر مساحت خشکی است. مرز مشترک کانادا با ایالات متحده، طولانیترین مرز زمینی در جهان است. پایتخت کانادا اتاوا و تورنتو بزرگترین شهر آن کشور است. بخش زیادی از خاک کانادا به دلیل سرمای هوا و نزدیکی به قطب شمال، خالی از سکنه است.<sep> Question: کانادا در کدام قاره است؟
A: | قاره آمریکای شمالی
****
| 4 | NIv2 | task467_parsinlu_rc_answer_generation | fs_opt | [
0.34383624792099,
0.7347002625465393,
-0.9876508712768555,
0.26225876808166504,
-0.22592177987098694,
-0.3870042562484741,
0.34856003522872925,
0.6211754679679871,
0.008174935355782509,
0.36223849654197693,
-0.5229024887084961,
0.8577866554260254,
0.16948799788951874,
0.41839462518692017,
... |
Part 1. 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 list all elements of A from the ith element to the jth element in the reverse order. 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.
Part 2. Example
1, 3, ['z', 'h', 'Y', 'U', '2799']
Answer: Y, h, z
Explanation: Here, all the elements between the 1st element and 3rd element in reverse order are 'Y', 'h', and 'z'.
Part 3. Exercise
4, 13, ['9609', '9865', '7635', '1823', 'N', 'n', 'G', '3817', 'e', '8089', '9913', '8541', 'b']
Answer: | b, 8541, 9913, 8089, e, 3817, G, n, N, 1823 | 7 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.03591924533247948,
0.2444862425327301,
-0.13416408002376556,
-0.5292232036590576,
0.37289655208587646,
-0.2400793433189392,
0.8748358488082886,
-0.21431168913841248,
-0.1469956487417221,
0.2925923764705658,
-1.1065919399261475,
-0.19344039261341095,
0.22432371973991394,
-0.1644837707281... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Where were all the events held for the event that Si Thu Lin , Zaw Lat , and Zaw Zaw Aung won gold in ?
, Word: ,
, POS tag: VBD
Output: | False | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.022139420732855797,
0.0024750176817178726,
-0.4285985827445984,
0.21154911816120148,
-0.28323864936828613,
-0.27654626965522766,
0.7631688117980957,
0.4606621265411377,
-0.3074783682823181,
0.06294053047895432,
-0.5303186178207397,
0.5732941627502441,
-0.20880427956581116,
0.20960497856... |
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.
If you've purchased many types of mosquito repellent over the years, you'll have heard all about this product.
| Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.9881256222724915,
0.5038424730300903,
0.18387164175510406,
-0.07460222393274307,
0.21371105313301086,
-0.9402534365653992,
0.3783814311027527,
0.44526171684265137,
0.33582836389541626,
0.4856576919555664,
-0.6717471480369568,
0.37067821621894836,
-0.2949119210243225,
-0.3579567372798919... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 11, ['2447', '3911', '9945', '1589', '8065', 'J', 'X', '1433', 'A', '869', 'Q', '9805', '5515', 'z', '9141', '3013', '2067', 'U', '2149', '3423', '7777', '1031']
A: | 9805, 5515, z, 9141, 3013, 2067, U, 2149, 3423, 7777, 1031 | 4 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.17816027998924255,
0.47371867299079895,
-0.4510359764099121,
-0.4404810070991516,
-0.896308422088623,
-0.3301105201244354,
0.6601877212524414,
-0.36880967020988464,
-0.8061352968215942,
-0.5402650237083435,
-0.8717948198318481,
-0.06510783731937408,
0.006981225684285164,
-0.0917404890060... |
Part 1. Definition
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
Answer: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy ർജ്ജ ഉപഭോഗത്തിൽ മാറ്റം വരുത്തിയിട്ടുണ്ട്.
Explanation: Correct translation for given sentence. Input sentence means 'There has been a change in energy consumption from the west to east.' which is the same as the output sentence.
Part 3. Exercise
679 ਕਿਲੋਮੀਟਰ ਵਿੱਚੋਂ 22.
Answer: | ഇതില് 22. | 7 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.43426376581192017,
0.5179524421691895,
0.010110151022672653,
-0.9227570295333862,
-0.3885101079940796,
-1.1925334930419922,
0.5679605007171631,
0.2778070569038391,
0.05004424974322319,
-0.40004366636276245,
-0.8334330320358276,
-0.2011774331331253,
-0.8954086303710938,
-0.324166804552078... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Ex Input:
Southampton will not deny Morgan Schneiderlin to chance to join Manchester United but Ronald Koeman has warned that he will not leave on the cheap. United have offered £20million for Schneiderlin and been told to come back with a fee closer to £30m if they are serious about landing the France midfielder. 'Every player has his price and we have a good experience of selling players,' said Koeman. 'If there is interest in Morgan Schneiderlin, then okay, but it has to be at a price that the club wants. 'He is one of the key players of our team. He is an international player. But I don’t think that is a problem for Man United.'Manchester United had Morgan Schneiderlin bid rejected two weeks agoRonald Koeman confirmed Southampton dismissed bid as not 'serious'United's offer is thought to worth £20million for France internationalSchneiderlin missed pre-season training on Monday through illnessKoeman also confirmed interest in Twente defender Cuco Martina
Question:Koeman said: 'Two weeks ago we had a bid from _.
Ex Output:
Southampton
Ex Input:
After three days training amid the bright lights, bingo and all-day breakfasts of Benidorm, Roy Hodgson has decided to stay away from the full English. Not as we have come to know it anyhow. There will be no Wayne Rooney against Spain, with the captain rested, and Hodgson has reframed the nature of these two friendlies amid injuries. They had been billed as the chance to fine-tune his strongest team, but last night the England boss claimed it was more about looking into certain individuals, partnerships and chemistry. This was back to the language which preceded depressing defeats by Germany and Chile in November 2013, when things started to unravel soon after a promising World Cup qualification campaign.Wayne Rooney is going to be rested by England for the Spain friendlyHarry Kane will lead England's attack, with Jamie Vardy missing injuredRoss Barkley is set to play behind Kane as an attacking midfielder
Question:Vardy had been earmarked to play centre forward against _.
Ex Output:
Benidorm
Ex Input:
A mother and her four children are fighting for their lives after being mowed down by a car 'doing 100mph' as they strolled to the park. Five ambulances and an air ambulance rushed to Grove Lane in Handsworth, Birmingham, following the horrific collision at 12.05pm today. Paramedics found a woman in her 30s, a four-year-old boy, a seven-year-old girl, a 12-year-old girl and a 14-year-old boy had been hit by a grey Seat Leon. Witnesses said the two youngest children were sent flying '20 to 30 metres down the road' due to the force of the impact as the family crossed the road.Five ambulances and air ambulance rushed to collision at 12.05pm todayFound a woman in her 30s and four children had been hit by a Seat LeonWitnesses said two youngest children were sent '30 metres down the road'Police have arrested a 35-year-old man on suspicion of dangerous driving
Question:Another witness, who was travelling on a bus on _ when the collision happened, said: 'I was at the front of the bus so got a clear view.
Ex Output:
| Handsworth
| 1 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.4941748380661011,
0.5025713443756104,
-0.6050763130187988,
-0.38297200202941895,
0.44361233711242676,
0.16617487370967865,
0.5654397010803223,
0.6822623610496521,
0.37431564927101135,
-0.3405649662017822,
0.02631409466266632,
1.4111614227294922,
-0.48652416467666626,
0.03084268420934677,... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
What do u mean by gram flour in kannada? | What is another name for Gram Flour? | 0 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.3969307839870453,
0.12980666756629944,
-0.2186264991760254,
-1.3752319812774658,
-0.32532569766044617,
-0.9610633254051208,
-0.0046705929562449455,
0.5824263691902161,
-1.0062925815582275,
-0.4489530920982361,
-0.5767788887023926,
0.11957384645938873,
-0.790830135345459,
0.5794935226440... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Example: 人の脳の何がそんなに特別なのでしょうか ？
Output: מה מייחד את המוח האנושי?
The Japanese sentence is correctly translated into Hebrew, because they both refer to the human brain.
New input case for you: これから生まれつき耳が聞こえない少女のビデオをみなさんにお見せしようと思います
Output: | עכשיו, בוידאו הזה שאני עומד להראות לכם ישנה ילדה שנולדה חרשת. | 1 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.44826754927635193,
0.13070622086524963,
0.1222846508026123,
-0.08983573317527771,
0.001268603140488267,
0.13997286558151245,
0.11789686232805252,
0.08641332387924194,
0.7460823059082031,
-0.404803991317749,
-0.3944835662841797,
-0.21165713667869568,
-0.5018273591995239,
0.02399480342864... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: Ho quindi detto: "" Immaginatevi in un film intitolato Fuga da Malibu, perché tutti i VIP si sono trasferiti nel Nord-Dakota, dove non c'è inquinamento.
A: | E dixen: "" Entón, imaxinen que están nunha película chamada 'Fuxindo de Malibú "", porque todas as persoas bonitas mudáronse a Dakota do Norte, onde está limpo e seguro. | 4 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.5033763647079468,
0.14547784626483917,
-0.7980865240097046,
-0.4525272846221924,
-0.8139294385910034,
-0.7377052307128906,
-0.6376593112945557,
1.1467267274856567,
0.19110581278800964,
-0.18703272938728333,
0.514938473701477,
-0.6736777424812317,
-0.5866986513137817,
-0.4051333069801330... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Q: Context: Casey didn't like Aubrey anymore so they told the class all of Aubrey's secrets.
Answer: fight Casey
Question: What will Aubrey want to do next?
A: | True | 4 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
0.2701948583126068,
0.45008158683776855,
0.05575820431113243,
-0.3179657459259033,
-0.3674367666244507,
-0.28676098585128784,
1.107042908668518,
0.38371115922927856,
0.4266171157360077,
0.12881308794021606,
-0.5108252763748169,
-0.46184730529785156,
-0.3724357485771179,
0.1771271526813507,... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: PersonX arranges a date<sep>Tail: to find a nice restaurant.
Solution: Yes
Explanation: This is a good example. As a result of the Head, PersonX wants to find a nice restaurant.
Problem: Head: PersonX asks PersonY's teacher<sep>Tail: PersonX thanks the teacher
Solution: | No | 4 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.3918512165546417,
0.03218214586377144,
0.14922316372394562,
-0.08901409804821014,
-0.5072197318077087,
-0.8501306176185608,
1.387711524963379,
0.37442588806152344,
-0.7192448377609253,
-0.3785618543624878,
-0.12969323992729187,
-0.308071494102478,
-0.8807559013366699,
0.3352336585521698,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public schools. Public libraries not only lend books, music records but also help children, patients in hospitals and others to get special play readings, film shows and so on. The first public libraries were founded in about the year 1850. Today's public libraries usually have a reading-room, a lending room and a reference room. The greatest and most famous library in Britain is that of the British Library in London. It was founded in 1973 and has over 10, 000, 000 books. It has nearly every magazine, newspaper and book published in Britain and other parts across the world.
Answer: 10,000,000 or less.
Solution: How many books are there in the British Library?
Why? In the Article, 10,000,000 is mentioned for the number of books available in the British Library, so this is a good question.
New input: Article: Dear Carol, I wear braces and I know I look just terrible in them. Is there anything I can do to improve my appearance until they come off? Connie N. Philadelphia, PA Dear Connie, Start by thinking about how good you are going to look when your braces come off. If you are negative about your appearance, people will pick that up right away about you. In the meantime there are several things that you can do to lift your spirits: Change your hairstyle. Be sure to get a good cut so that the shape of your hair will be flattering to your face and also good for your type of hair (fine, thick, straight, curly, etc.) Choose a hairstyle that draws attention away from your face. Hair pulled back into a pony-tail or into a ball on top or slightly off-center can be attractive and practical for this purpose. Keep skin clean. If you choose to wear makeup , it should look natural. Blusher and lip gloss in light tones of peach or pink are best. Be well-groomed . Neatness really _ . People see a total look about you before they ever become aware of your braces. And first impressions are lasting ones!
Answer: Because she cared much about her appearance.
Solution: | Why did Connie write to Carol? | 0 | NIv2 | task311_race_question_generation | fs_opt | [
0.7477824091911316,
0.44610273838043213,
-0.09922915697097778,
-0.3453153967857361,
0.9232801198959351,
-0.3373393714427948,
1.2875704765319824,
0.5812493562698364,
0.19355137646198273,
-0.3777073621749878,
-0.26543402671813965,
0.5008147358894348,
-1.2336621284484863,
0.4994203448295593,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
[5, 8, 9, 3, 7]
Solution: [22, 2.0, 38, 14, 30]
Why? The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4.
New input: [45, -22, -69, 32, 8, 80, 33, -51, -85, 67]
Solution: | [182, -5.5, -274, 8.0, 2.0, 20.0, 134, -202, -338, 270] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.1015712097287178,
0.6341233253479004,
-0.18153254687786102,
-0.12465082108974457,
0.3086296617984772,
-0.10179122537374496,
1.0635074377059937,
0.35617879033088684,
0.06249465420842171,
0.20034059882164001,
-0.5429512858390808,
-0.7134209871292114,
-0.4100959599018097,
0.067821577191352... |
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