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Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Example Input: PHILADELPHIA -- Haason Reddick is coming home to go after Carson Wentz.
The rookie linebacker returns to the field where he starred in college when the Arizona Cardinals (2-2) visit the Philadelphia Eagles (3-1) on Sunday.
"When my name was called the response was crazy " Reddick said.
Reddick expects a large number of family and friends cheering for him at the Linc. How will the rest of the Eagles fans react?
"I think the crowd will be welcoming but we'll see what happens " Reddick said. "You never really know with the Philly crowd. The Philly crowd has always been a wild crowd. Philly will always be home. I'll always have love for Philly."
Reddick has 10 tackles in four games but is still seeking his first sack. He 'll get a chance to rush the quarterback more this week because he 's moving from inside linebacker to the outside spot to replace the injured Markus Golden .
"Whatever the team needs I'm willing to do whether it's taking snaps at outside or getting reps at inside " Reddick said. "Pass rusher is more natural. I'm getting back into the groove and being focused on pass rushing making sure I'm being a smart pass rusher."
Example Output: Haason Reddick
Example Input: When Ava Gardner first met Frank Sinatra in 1943 the duo couldn’t have suspected that six years later after the actress faced two disastrous divorces before the age of 25 they would happily dive into a controversial love affair.
Sinatra may have still been married but an insistent Gardner reportedly made the singer ask Nancy for a divorce. The mother of his three young children initially refused but she eventually granted Sinatra a divorce in 1951. One week after his divorce was final Sinatra married Gardner.
“I don’t think [Frank] wanted to hurt Nancy ” said Uzarowski. “But at the same time I don’t think he went out of his way to hide [the affair]. They did get into quite a lot of trouble with the public. There were angry letters hate mail coming in every week to the studio.
“She really liked Ava ” said Uzarowski. “She could have had a very bad attitude towards Ava because she basically stole her father away from her mother. She could have been resentful. But there was none of that… Tina and Nancy were both very friendly with Ava .”
“The first time she met Ava when she was a little girl of 4 or 5 Ava got down on her knees so she [could] have eye contact with her ” said Uzarowski. “And she really treated her with a lot of attention and a lot of warmth. That obviously really impressed her as a child. She still remembered that after all of these years.”
Still Gardner and Sinatra wouldn’t share a happily ever after. Their marriage was plagued by jealousy fiery tempers and insecurity. They also publicly battled. The relationship was reportedly so tumultuous that Gardner had two abortions during their marriage which she later publicly admitted.
According to Tina Gardner later wondered what the couple could have done differently.
The marriage lasted for less than two years. In 1953 MGM announced their separation. Then in 1957 Gardner and Sinatra were divorced. However they apparently never got over each other. There were even rumors of a possible reconciliation.
Gardner would move on and live a quiet life in London for more than 30 years seeking salvation from the paparazzi. She never remarried.
One of Sinatra’s biggest tragedies would come in 1990 when Gardner died at age 67 of pneumonia.
“[Tina] said it was such a huge blow to him ” said Uzarowski. “ She said he never got over it… It was such a huge shock to him . She was the love of his life by all accounts. When she did pass away he was devastated.
"Tina said the actual pain he experienced was so much more. He wouldn’t share that with anyone because it was too personal… There was a story that Nancy said in another book that he just locked himself in a room for 24 hours… and wouldn’t speak to anyone.”
Example Output: Ava Gardner
Example Input: Sen . Chuck Grassley speaks with reporters on Capitol Hill in December 2017 . ( Reuters file photo : Aaron . P . Bernstein ) We need a full - blown investigation of how the FISA court came to grant warrants to spy on Carter Page . In a word the Grassley - Graham memo is shocking . Yet the press barely notices . Rest assured : If a Republican administration had used unverifiable hearsay from a patently suspect agent of the Republican presidential candidate to gull the FISA court into granting a warrant to spy on an associate of the Democratic nominee ’ s campaign it would be covered as the greatest political scandal in a half - century . Instead it was the other way around . The Grassley - Graham memo corroborates the claims in the Nunes memo : The Obama Justice Department and FBI used anonymously sourced Clinton - campaign generated innuendo to convince the FISA court to issue surveillance warrants against Carter Page and in doing so they concealed the Clinton campaign ’ s role . Though the Trump campaign had cut ties with Page shortly before the first warrant was issued in October 2016 the warrant application was based on wild allegations of a corrupt conspiracy between the Trump campaign and the Kremlin . Moreover the warrant meant the FBI could seize not only Page ’ s forward - going communications but any past emails and texts he may have stored — i . e . his Trump campaign communications . x With its verification by the Grassley - Graham memo the Nunes memo now has about a thousand times more corroboration than the Steele dossier the basis of the heinous allegations used by the Justice Department and FBI to get the FISA warrants . What the Grassley - Graham memo tells us is that the Nunes memo for all the hysteria about it was tame . The Grassley - Graham memo tells us that we need not only a full - blown investigation of what possessed the Obama administration to submit such shoddy applications to the FISA court but of how a judge — or perhaps as many as four judges — rationalized signing the warrants . Advertisement We need full disclosure — the warrants the applications the court proceedings . Senators Charles Grassley of Iowa and Lindsey Graham of South Carolina are senior Republicans on the Judiciary Committee ( which Grassley chairs while Graham chairs a relevant subcommittee ). As we ’ ve previously detailed ( in a two - part series here and here ) they composed their memo in support of a criminal referral recommending that dossier author Christopher Steele be investigated for making false statements to the FBI ( which is a felony ). Initially the senators ’ memo was withheld then it was released with extensive redactions because its contents were largely classified — covering submissions to the FISA court the secret tribunal established by the 1978 Foreign Intelligence Surveillance Act . But following the release of the Nunes memo — the memo prepared by Republican majority staff of the House Permanent Select Committee on Intelligence led by Representative Devin Nunes ( R . Calif .) — Senators Grassley and Graham stepped up their admirable efforts to get more information unsealed . so that the public can see it even if the press prefers not to cover it . Last Friday the Nunes memo asserted that the FBI and Justice Department had significantly relied on the unverified Steele dossier to obtain FISA warrants on Page . In the week that followed House Intelligence Committee Democrats and their media echo chamber bleated about how things had been taken out of context with some suggesting that there was plenty of other evidence to establish probable cause that Page was acting as a Russian agent . ( See my column last Sunday responding to claims by Representative Jerrold Nadler here .) It was even implied that Nunes & Co . had deceptively reported committee testimony by the FBI ’ s then deputy director Andrew McCabe that the Steele dossier was essential to this probable - cause showing . We ’ re not hearing much of that now . Here ’ s the Grassley - Graham memo on the critical first FISA application the basis for the warrant granted on October 21 2016 : The bulk of the application consists of allegations against Page that were disclosed to the FBI by Mr . Steele and are also outlined in the Steele dossier . The application appears to contain no additional information corroborating the dossier allegations against Mr . Page although it does cite to a news article that appears to be sourced to Mr . Steele ’ s dossier . We ’ ll come to the news article — the stupefying circular attempt to corroborate Steele with Steele . For the moment suffice it to say that the senators have confirmed the Nunes memo ’ s account except with much more information than House Republicans were able to include . Information such as this : When asked at the March 2017 briefing [ of Judiciary Committee leaders ] why the FBI relied on the dossier in the FISA applications absent meaningful corroboration — and in light of the highly political motives surrounding its creation — then - Director [ James ] Comey stated that the FBI included the dossier allegations about Carter Page in the FISA applications because Mr . Steele himself was considered reliable due to his past work with the Bureau . On this score Grassley and Graham quote directly from the warrant applications : “ Based on [ Steele ’ s ] previous reporting history with the FBI whereby [ Steele ] provided reliable information to the FBI the FBI believes [ Steele ’ s ] reporting to be credible .” ( Emphasis added .) I cannot stress enough how irregular this is . It is why there is abundant reason to demand that the judge explain his or her rationale for granting the warrant . As I outlined at greater length last week ( here in section C ) in applying for a warrant the government must establish the reliability of the informants who witnessed the alleged facts claimed to support a probable - cause finding . Steele was not one of those witnesses . He is not the source of the facts . He is the purveyor of the sources — anonymous Russians much of whose alleged information is based on hearsay sometimes multiple steps removed from direct knowledge . Steele has not been in Russia since his cover as a British spy was blown nearly 20 years ago . He has sources who have sources who have sources . None of his information is better than third - hand ; most of it is more attenuated than that . For purposes of justifying a warrant it does not matter that in a totally unrelated investigation ( involving corruption at FIFA the international soccer organization ) the FBI judged that the hearsay information provided by Steele then a British agent checked out . In his anti - Trump research Steele could not verify his sources . Furthermore he was now a former foreign intelligence officer who was then working for private clients — which is the advocacy business not the search - for - truth business . A judge would need to know whether Steele ’ s sources were reliable not whether Steele himself was reliable . Let that sink in then think about this contrast : No actual FBI agent no matter how renowned would be able to get a judicial warrant based solely on his own reliability as an investigator . Jim Comey despite having a résumé geometrically more impressive than Steele ’ s including Senate confirmations to some of federal law - enforcement ’ s loftiest positions would not be given a warrant based on representations to the court that the FBI the Justice Department the president and the Senate all attested to his impeccable reliability . The only reliability that counts is the reliability of the factual informants not of the investigator who purports to channel the informants . The judge wants to know why the court should believe the specific factual claims : Was the informant truly in a position to witness what is alleged and if so does the informant have a track record of providing verified information ? The track record of the investigator who locates the sources is beside the point . A judge would need to know whether Steele ’ s sources were reliable not whether Steele himself was reliable . Advertisement This is not esoterica . In the investigations biz this is so basic that to call it “ Warrants 101 ” doesn ’ t do it justice . If you don ’ t have witnesses with verifiable first - hand knowledge you don ’ t have anything . Without them to borrow Director Comey ’ s notorious dictum no reasonable prosecutor would bring a warrant application to a federal judge and no reasonable judge would issue a warrant . If there is no credible sourcing for the factual allegations in the warrant application that is a probable - cause deficiency that could not have been cured by the reputation of the purveyor of the sources no matter how sterling . That said it is obvious that the less identifiable and reliable the informants are the greater is the government ’ s obligation to be transparent in conveying the investigator ’ s potential biases . The Obama administration ’ s malfeasance on this point is breathtaking . Graham and Grassley recount : The FBI noted to a vaguely limited extent the political origins of the dossier . In footnote 8 [ of the first warrant application apparently repeated in the subsequent applications ] the FBI stated that the dossier information was compiled pursuant to the direction of a law firm who had hired an “ identified U . S . person ” — now known as Glenn Simpson of Fusion GPS . The fact that Fusion GPS ’ s ultimate client was the Clinton campaign was never disclosed in any of the warrant applications which ran well beyond June 2017 when the last 90 - day extension was granted . Patently so much struggle and circumlocution went into crafting this “ vaguely limited ” footnote that we can only conclude the decision not to disclose the Clinton connection was the subject of much deliberation . The Clinton campaign ’ s sponsorship was not publicly disclosed until October 2017 . Before then it is virtually certain that to the extent the FISA court and Congress were told of the “ political origins ” of the dossier these were benignly presented as bipartisan concerns about Donald Trump . That is the Steele dossier phase of Fusion ’ s anti - Trump project was conflated with the earlier phase when — as Simpson has testified — Fusion did documentary research on Trump during the Republican primaries for a conservative media outlet . It was not disclosed that by the time Steele was hired to do the dossier the project was backed exclusively by the Democratic party and the Clinton campaign . Manifestly that was a material fact . If a prosecutor withheld an arguably exculpatory fact of this degree of significance it could get a conviction reversed . As some have observed a public company would likely face a stock fraud prosecution for concealing a fact so patently material from its required SEC reports . The Clinton - campaign tie should have been disclosed from the beginning . Now consider what happened as the surveillance continued for the better part of a year . In late October 2016 shortly after the first warrant was issued the FBI terminated its relationship with Steele because he lied to the Bureau about his contacts with the media . But the Justice Department did not report this to the FISA court . Instead when the first warrant expired in January 2017 the FBI and Justice Department sought its renewal by again relying on the credibility of the guy they ’ d booted for lying . In another lawyerly footnote they told the FISA court that Steele had been terminated not because he lied but because he was guilty of “ unauthorized disclosure of information to the press .” But that was not the half of it . Steele ’ s agreement with the FBI was that he would not communicate with the press . He made that agreement and then communicated with the press anyway — which showed he was unreliable notwithstanding the FBI ’ s continued insistence to the contrary . He hadn ’ t just flouted the agreement by speaking to the press though ; he had clearly lied about doing so . By mid - September 2016 at Fusion ’ s direction and even before the first FISA warrant was issued Steele had spoken with a plethora of Clinton - friendly press outlets . As a result Yahoo News published a news story by Michael Isikoff on September 23 which reported precisely the information that Steele had given to the FBI about Page : that he ’ d supposedly met in Moscow with two top Russian operatives and discussed the lifting of sanctions against Russia . Advertisement How could the FBI and Justice Department not have known that Steele was the source for this story ? Isikoff explicitly stated that his account of Page ’ s activities was set forth in “ intelligence reports ” that were in the possession of “ U . S . officials .” Plainly the FBI was privy to intelligence reports in the government ’ s possession — the purported “ intelligence ” reports Steele had provided as well as any others . Had there been another intel report from a different source who happened to provide the same exact information Steele had provided not only would the FBI have known about it ; the Bureau would have touted it to the FISA court as critical corroboration of Steele ’ s anonymous sources . To the contrary the FISA court was told : “ The FBI does not believe that [ Steele ] directly provided this information to the press .” I ’ ve emphasized “ directly ” to highlight how curious this assertion is . Ostensibly the Bureau seems to have been saying that Steele was not the source — meaning that there must have been another source yet one the Bureau had not managed to identify even though this mystery source was described in intelligence reports accessible to the Bureau . On the other hand what does “ directly ” mean ? By using that qualifier was the Bureau conceding that Steele might have provided information to the press indirectly – i . e . through an intermediary ? But that would make no sense : What would be the point of citing the Isikoff article as corroboration for Steele if Steele had been Isikoff ’ s source even if indirectly ? It is not good one way or the other . Either Steele lied to the FBI about speaking to the press or the FBI consciously avoided learning that Steele had spoken to Isikoff and then speculated to the court that Steele was probably not Isikoff ’ s source . Either way Steele ’ s credibility was a huge issue . That put in doubt the FBI ’ s vouching for his reliability which in turn made disclosure of the Clinton campaign ’ s sponsorship of his dossier even more imperative . Or how about this : Steele gave a published interview to Mother Jones in late October 2016 after promising not to speak to the media . In trying to soft - peddle the palpable unreliability Steele had thus exhibited the FBI rationalized that he was acting not out of dishonesty but in a fit of pique over Director Comey ’ s pre - election announcement that the FBI had reopened the Clinton emails investigation . This of course is the announcement that Clinton partisans blame for their candidate ’ s loss . So according to the Bureau Steele ’ s pro - Clinton partisanship induced him to such outrage over Comey ’ s announcement that he was moved to violate his agreement with the FBI . Wouldn ’ t you think it might then occur to the Bureau and the Justice Department that maybe just maybe they ought to let the court in on that teeny detail about the Clinton campaign ’ s being the sponsor of Steele ’ s dossier ? Instead they kept mum and they kept telling the court Steele was perfectly reliable . In fact they kept telling the FISA court he was reliable even after Steele himself admitted to a British court that his dossier wasn ’ t at all reliable . Truth is a defense to libel . Suffice it to say it was not Steele ’ s defense . Even though there was still no meaningful corroboration of Steele ’ s sources after months of investigation even though Steele had lied to them the FBI and Justice Department represented again and again in April and June 2017 that the FISA court could confidently bank on Steele ’ s reliability . By early 2017 however Steele was being sued for libel in Britain among other places by people accused of misconduct in the dossier . Truth is a defense to libel . Suffice it to say it was not Steele ’ s defense . In May 2017 as I have detailed ( here ) Steele was required to respond to interrogatories . He emphasized that his dossier allegations were “ raw intelligence ” that was “ unverified ” and “ warranted investigation .” He further described his reports as “ limited intelligence ” that described mere “ indications ” of “ possible ” coordination between Trump ’ s campaign and the Russian government . He was not in a position to vouch for the accuracy of what he ’ d been told he explained ; he passed it along because it needed further investigation . Yet far from reporting Steele ’ s retreat to the FISA court Grassley and Graham report that the FBI and Justice Department continued vouching for the reliability of his allegations . Advertisement Beyond all that we now learn through the senators ’ memo and some follow - up reporting that two longtime Clinton cronies Cody Shearer and Sidney Blumenthal fed their own anti - Trump dossier to Steele through a State Department official Jonathan Winer . In the fall of 2016 Steele while working on his Clinton - funded project reported this Clinton - crony information to the FBI . Still the FBI and Justice Department elected not to tell the FISA court that the Clinton campaign was paying for Steele ’ s unverified unverifiable anti - Trump research . I spent many months assuring people that nothing like this could ever happen — that the FBI and Justice Department would not countenance the provision to the FISA court of uncorroborated allegations of heinous misconduct . When Trump enthusiasts accused them of rigging the process I countered that they probably had not even used the Steele dossier . If the Justice Department had used it in writing a FISA warrant application I insisted that the FBI would independently verify any important facts presented to the court make any disclosures that ought in fairness be made so the judge could evaluate the credibility of the sources and compellingly demonstrate probable cause before alleging that an American was a foreign agent .
Example Output: | Steele Steele
| 3 | NIv2 | task419_persent_answer_generation | fs_opt | [
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TASK DEFINITION: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: วิกิลีกส์ได้ส่งมอบเอกสารฉบับดังกล่าวให้กับกลุ่มคนที่พิจารณาแล้วว่าเป็นผู้เชียวชาญในสาขานี้ ในการการวิเคราะห์เพื่อชี้ว่าสำเนาคู่มือฉบับนี้เป็นของจริงหรือไม่
SOLUTION: ウィキリークスは、それを実証しようと分析をしているその分野の専門家だと彼らが考える人々に、この文書を渡した。
PROBLEM: ตลาดร่วมแห่งภูมิภาคแอฟริกาตะวันออกและแอฟริกาตอนใต้เป็นเขตการค้าเสรีที่มีอาณาเขตครอบคลุมตั้งแต่อียิปต์ถึง นามิเบีย
SOLUTION: 東南部アフリカ市場共同体はエジプトからナミビアに広がる自由貿易地域である。
PROBLEM: การคาดการณ์ขั้นต้นเสนอว่าสะพานจะยาว 400 เมตรและจะมีมูลค่าราว 38.6 ล้านดอลลาร์
SOLUTION: | 当初の見積もりでは400メートルにもおよぶ橋の建設費用は約3860万米ドルと試算されている。
| 8 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
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Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
One example is below.
Q: 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。
A: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប៉ារីស បារាំង។
Rationale: This is a correct and accurate translation from Japanese to Khamer because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Q: 米国食品医薬品局は、経口薬で十分に糖尿病のコントロールを達成できなかった人々に対して、使用を承認した。
A: | ទីស្នាក់ការចំនីអាហារនិងឱសថនៃសហរដ្ឋអាមេរិចបានយល់ស្របនឹងការប្រើប្រាស់វាសំរាប់អ្នកដែលមិនអាចគ្រប់គ្រងជំងឺទឹកនោមផ្អែមរបស់ខ្លួនបានគ្រប់គ្រាន់ដោយប្រើថ្នាំពេទ្យ។ | 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
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... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Let me give you an example: Brindo soluciones. Estoy muy feliz.
The answer to this example can be: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Here is why: The Spanish sentence is correctly translated into Polish, because the meaning is preserved.
OK. solve this:
Y todos, incluyéndome, estábamos como, "" Siiii "". (Risas) Y así de sencillo, pasé de ser una mujer a la que estos niños hubieran sido entrenados a ver como "" discapacitada "" a ser alguien con un potencial que sus cuerpos aún no tenían.
Answer: | I wszyscy, włącznie ze mną, krzyknęli "" JASNE! "" (Śmiech) I tak przeistoczyłam się z kobiety, którą dzieci nauczono by postrzegać jako niepełnosprawną, w osobę z potencjałem, którego jeszcze brakowało ich ciałom. | 8 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
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1.160423755645752,
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0.4206387102603912... |
Definition: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Input: Context_1 : Tantum Ergo is the incipit of the last two verses of "Pange Lingua", a Medieval Latin hymn written by St Thomas Aquinas c. 1264. The "Genitori Genitoque" and "Procedenti ab Utroque" portions are adapted from Adam of Saint Victor's sequence for Pentecost. The hymn's Latin incipit literally translates to “Therefore so great.” Context_2 : Tantum ergo ("Let us raise"), WAB 32, is the first of eight settings of the hymn "Tantum ergo" composed by Anton Bruckner in 1845. Context_3 : Josef Anton Bruckner (] ; (1824--)04 1824 (1896--)11 1896 ) was an Austrian composer best known for his symphonies, masses, and motets. The first are considered emblematic of the final stage of Austro-German Romanticism because of their rich harmonic language, strongly polyphonic character, and considerable length. Bruckner's compositions helped to define contemporary musical radicalism, owing to their dissonances, unprepared modulations, and roving harmonies. Context_4 : O salutaris Hostia (Latin, "O Saving Victim" or "O Saving Sacrifice"), is a section of one of the Eucharistic hymns written by St Thomas Aquinas for the Feast of Corpus Christi. He wrote it for the Hour of Lauds in the Divine Office. It is actually the last two stanzas of the hymn "Verbum supernum prodiens", and is used for the Adoration of the Blessed Sacrament. The other two hymns written by Aquinas for the Feast contain the famous sections "Panis angelicus" and "Tantum ergo". Context_5 : Pange Lingua Gloriosi Corporis Mysterium is a Medieval Latin hymn written by Saint Thomas Aquinas (1225–1274) for the Feast of Corpus Christi. It is also sung on Maundy Thursday during the procession from the church to the place where the Blessed Sacrament is kept until Good Friday. The last two stanzas (called, separately, "Tantum Ergo)" are sung at Benediction of the Blessed Sacrament. The hymn expresses the doctrine that the bread and wine are changed into the Body and Blood of Christ during the celebration of the Eucharist. Context_6 : Luigi Lamberti (22 October 1769 – after 1812) was an Italian composer of operas and other pieces. He was born in Savona and, like Francesco Gnecco, he studied with Mariani, the "maestro di capella" of the Savona cathedral. Once his master died, he succeeded to the position. However, he was said to be of a "restless spirit" and abandoned the position. Moving to Paris in 1806, he published a number of compositions dedicated to princess Pauline Bonaparte. In Italy, he composed the operas "Orfeo" (1796), "L' Amante Schernito", and "I Due Fratelli Originali". He was prolific. He also composed various masses; vespers and hymns including two "Tantum ergo" and a "Miserere"; motets; concertos for three, four and five strings; and symphonies, among them are two titled "Pubblio Claudio" and "The Death of Louis XVI". While he lived in Paris in 1812, it is not known what became of him afterward. Context_7 : Tantum ergo ("Let us raise"), WAB 44, is the last of eight settings of the hymn "Tantum ergo" composed by Anton Bruckner in 1854 . Context_8 : The four Tantum ergo ("Let us raise"), WAB 41, are settings of the hymn "Tantum ergo" composed by Anton Bruckner in 1846. Context_9 : Tantum ergo ("Let us raise"), WAB 43, is the second of eight settings of the hymn "Tantum ergo" composed by Anton Bruckner in 1845 . Context_10 : Tantum ergo ("Let us raise"), WAB 42, is a setting of the hymn "Tantum ergo" composed by Anton Bruckner in 1846. fact_1 : The four Tantum ergo ("Let us raise"), WAB 41, are settings of the hymn "Tantum ergo" composed by Anton Bruckner in 1846. fact_2 : Josef Anton Bruckner (] ; (1824--)04 1824 (1896--)11 1896 ) was an Austrian composer best known for his symphonies, masses, and motets. Question: The four Tantum ergo are settings of the hymn "Tantum ergo" composed by a composer of what nationality?
Output: | Austrian | 2 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
1.0463413000106812,
0.6871813535690308,
-0.5435948371887207,
0.715790867805481,
0.16908030211925507,
-0.6306352615356445,
0.5910443067550659,
0.8228607773780823,
0.05637633427977562,
0.2236461043357849,
-0.008581014350056648,
0.18360136449337006,
-0.9581420421600342,
0.21841531991958618,
... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following 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.
Solution: Tom had gone into the store before he was seen by Jon.
Reason: Tom must have gone into the store to come out of it.
Now, solve this instance: Sentence 1: Two young girls are sitting in the living room playing video games and drinking canned soft drinks. Sentence 2: Two young girls are sitting on the floor playing a video game.
Student: | Two girls are playing video games. | 2 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.06686070561408997,
0.4112356901168823,
0.03419813513755798,
-0.5050389766693115,
0.29986780881881714,
-0.6378811597824097,
-0.27838829159736633,
0.6407828330993652,
0.23550260066986084,
-0.05937356874346733,
0.055486783385276794,
-0.06750081479549408,
-0.4548249840736389,
-0.64849770069... |
The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Example input: Quants punts va cedir la defensa dels Panthers?
Example output: How many points did the Panthers defense surrender?
Example explanation: This is a good English translation because it conveys the same meaning as the Catalan question.
Q: On va ser desterrat Toghrul, cap de Temujin?
A: | Which battle did Temüjin lose to Jamukha shortly after his election as khan? | 3 | NIv2 | task1676_xquad-ca_translation | fs_opt | [
0.12208013236522675,
0.672680675983429,
0.2896363139152527,
-0.37359341979026794,
0.03618502989411354,
-1.424104928970337,
0.666172206401825,
-0.5167668461799622,
-0.12281399220228195,
-0.24338151514530182,
-0.5174492597579956,
0.21581900119781494,
-1.1349459886550903,
0.10661612451076508,... |
TASK DEFINITION: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
PROBLEM: Context: It was delicious . I ' m a poor student with many loans , so I opted for a meal that was a little lighter and not so heavy on the seafood side . This was their Tropical Salad . A bit overly sweet , but I love pineapple and mandarin orange , so I was n't complaining too much .
Question: What may the narrator do in the future with the meal he had ?
Correct Answer: The narrator is likely to reorder the meal in the future .
SOLUTION: The narrator is likely to avoid the meal in the future .
PROBLEM: Context: Dear Surf Gods , Thank you for serving up a bacchanal of hollow waves on Saturday morning . We checked the beach above first , noticed a growing crowd , and moved along . The next location was about twice as big and breaking twice as far out . As we paddled out into the glassy beachbreak , joining a friendly group of five guys , we counted our blessings . The swell continued to build and clean up , and we joined in on the feast .
Question: What may happen if I did not move to the next location ?
Correct Answer: The surfing may not be as awesome .
SOLUTION: It may be easier to move around .
PROBLEM: Context: Ahahaha , so I completely forgot that my hours had been switched today , and so went into work about 800 hours early . I lost an hour in getting there , discovering my error , and coming home , but I figure at least it got me up earlier than I otherwise would have , so I actually probably gained about two hours and got an errand run on the way home to boot . On balance I ' m still on top !.
Question: Why is the narrator not upset about the schedule change ?
Correct Answer: The change worked out in their favor .
SOLUTION: | The change got them a promotion .
| 8 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.33116552233695984,
0.2501676082611084,
-0.1339452564716339,
0.1101158857345581,
0.09776373207569122,
0.051862575113773346,
0.6686389446258545,
0.7310808897018433,
-0.3917314410209656,
-0.025246476754546165,
0.028873741626739502,
-0.36160901188850403,
-0.7235442996025085,
-0.0468817837536... |
Part 1. Definition
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Part 2. Example
I've read this book with much expectation, it was very boring all through out the book
Answer: Negative
Explanation: Review writer does not like the book because it was boring, therefore it is a negative review.
Part 3. Exercise
Why do books such as this keep being required reading in high schools? Havent there been any authors in more recent time that would provide students more relevancy? Obviously this appeals to those who are truly literature lovers--and that's fantastic. But for most kids, give them something they'll enjoy reading and maybe they'll learn to love literature more. Books like this just antagonize and demoralize those who are not naturally literature lovers.
Answer: | Negative | 7 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.3341905474662781,
0.11164352297782898,
0.5465965270996094,
-0.8609203100204468,
0.746080756187439,
-0.052882879972457886,
1.1489663124084473,
0.07574431598186493,
0.5070421695709229,
-0.15692389011383057,
-0.28037744760513306,
-0.3190256357192993,
-1.3904759883880615,
-0.110067330300807... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Example Input: A woman standing in front of the Eiffel Tower surrounded by photo shopped animals.
Example Output: English
Example Input: બે ટ્રૅશેન્સ, મોટી ગેસ સ્ટોવ, અને ઘણાં બધાં સાથે મોટી રસોડામાં આયોજન અને મૂકવું.
Example Output: Gujarati
Example Input: A BROWNIE CAKE PENGUIN HALF EATEN WITH A CAP THAT HAS A PENGUIN ON IT
Example Output: | English
| 3 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.8600894212722778,
0.20375008881092072,
0.7943034768104553,
-0.20250722765922546,
0.18537867069244385,
-0.2204059362411499,
-0.29580867290496826,
0.005345774814486504,
-0.06878839433193207,
-0.5381667613983154,
-0.43701744079589844,
0.1728135645389557,
-0.396647572517395,
0.0634293034672... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Title: No more football. Sentence 1: Alexis did not want her son playing football. Sentence 2: After playing for years he got an injury. Sentence 3: She made him quit. Sentence 4: Alexis was horrified. Sentence 5: He was sad but understood.
Output: | 34 | 1 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.28335312008857727,
0.014505136758089066,
-0.3507274389266968,
0.055271293967962265,
-0.016266798600554466,
-0.08680622279644012,
0.6472107172012329,
0.30885007977485657,
0.22889992594718933,
-0.2706814110279083,
-0.6830389499664307,
-0.7533839344978333,
-0.5643149614334106,
0.5681199431... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
One example is below.
Q: बेटी-बचाओ, बेटी-पढ़ाओ अभियान से भ्रूण हत्या में कमी आई है और देश के अनेक जिलों में सेक्स-रेशियो में सुधार हुआ है।
A: বেটি-সংরক্ষণ, ভ্রূণের হত্যাকান্ডের কন্যা-শৃঙ্খলা রক্ষাকারী বাহিনী থেকে কমেছে এবং দেশের অনেক জেলায় যৌন অনুপাত উন্নত হয়েছে।
Rationale: Correct translation for given sentence. Input sentence means 'Betty-save, fetal murder has decreased from the daughter-in-law campaign and sex ratio has improved in many districts of the country.' which is the same as the output sentence.
Q: केन्द्र बनाने का इससे बेहतर अवसर नहीं होगा। हमें इससे पता लगेगा कि महात्मा गांधी के मिशन को आकार देने में अफ्रीका की क्या भूमिका रही है तथा कैसे अफ्रीका स्वतंत्रता और न्याय के लिए प्रेरित हो सका।
A: | মহাত্মা গান্ধী দৃঢ়ভাবে বিশ্বাস করতেন, আফ্রিকা যদি পরাধীনতা থেকে মুক্তি না পায়, তাহলের ভারতের স্বাধীনতা থেকে যাবে অসম্পূর্ণ। স্বাধীন ভারত তাঁর এই কথা কখনই বিস্মৃত হয়নি। | 9 | NIv2 | task1010_pib_translation_hindi_bengali | fs_opt | [
-0.27007269859313965,
-0.1733643114566803,
0.11702186614274979,
-0.4282936453819275,
-0.15104229748249054,
-1.2236535549163818,
0.06233028322458267,
0.7453441619873047,
-0.06903810799121857,
0.1351616233587265,
-1.055936574935913,
-0.29366517066955566,
-0.5862975716590881,
-0.1595292240381... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Question: Calculate the sum of first 60 natural numbers.
Option A: 1839
Option B: 2830
Option C: 1830
Option D: 1831
Option E: 1835
Option C
Question: A bag contains 5 red balls, 5 green balls and 6 white balls. A ball is drawn at
random from the box. What is the probability that the ball drawn is either red or green?
Option A: 2/5
Option B: 3/5
Option C: 1/5
Option D: 7/15
Option E: 5/8
Option E
Question: In an election between two candidates, one got 55% of the total valid votes, 20% of the votes were invalid. If the total number of votes was 7500, the number of valid votes that the other candidate got, was:
Option A: 2700
Option B: 2900
Option C: 3000
Option D: 3100
Option E: 3500
| Option A
| 0 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.6970410346984863,
0.09561291337013245,
-0.3587642312049866,
0.2595751881599426,
-0.28922945261001587,
-0.3189190626144409,
0.18476080894470215,
0.9751379489898682,
-0.047023843973875046,
-0.023466359823942184,
-0.6950089931488037,
0.2327772080898285,
0.172639399766922,
-0.441652804613113... |
instruction:
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
question:
Passage: The use of alloys by humans started with the use of meteoric iron, a naturally occurring alloy of nickel and iron. It is the main constituent of iron meteorites which occasionally fall down on Earth from outer space. As no metallurgic processes were used to separate iron from nickel, the alloy was used as it was. Meteoric iron could be forged from a red heat to make objects such as tools, weapons, and nails. In many cultures it was shaped by cold hammering into knives and arrowheads. They were often used as anvils. Meteoric iron was very rare and valuable, and difficult for ancient people to work.
answer:
What was the first man-made alloy used by humans?
question:
Passage: In February 2012, Capello resigned from his role as England manager, following a disagreement with the FA over their request to remove John Terry from team captaincy after accusations of racial abuse concerning the player. Following this, there was media speculation that Harry Redknapp would take the job. However, on 1 May 2012, Roy Hodgson was announced as the new manager, just six weeks before UEFA Euro 2012. England managed to finish top of their group, winning two and drawing one of their fixtures, but exited the Championships in the quarter-finals via a penalty shoot-out, this time to Italy.
answer:
In what year was Capello made England's manager?
question:
Passage: By 1989 Germany was nearing reunification and the Cold War was coming to a close. Army leadership reacted by starting to plan for a reduction in strength. By November 1989 Pentagon briefers were laying out plans to reduce army end strength by 23%, from 750,000 to 580,000. A number of incentives such as early retirement were used. In 1990 Iraq invaded its smaller neighbor, Kuwait, and U.S. land forces, quickly deployed to assure the protection of Saudi Arabia. In January 1991 Operation Desert Storm commenced, a U.S.-led coalition which deployed over 500,000 troops, the bulk of them from U.S. Army formations, to drive out Iraqi forces. The campaign ended in total victory, as Western coalition forces routed the Iraqi Army, organized along Soviet lines, in just one hundred hours.
answer:
| What did the Pentagon pan to increase the army strength to?
| 9 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.746781587600708,
0.8022632598876953,
-0.7410463094711304,
0.2730647921562195,
0.059445470571517944,
-0.6967345476150513,
0.828743577003479,
1.141404628753662,
-0.03296920657157898,
0.345455139875412,
-0.23910488188266754,
0.3654603362083435,
-0.3490297496318817,
0.5018654465675354,
0.2... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: (خنده) پس این خیلی خوب کار می کند. شما می توانید علاوه بر شکل طرح هم بسازید.
Output: | (צחוק) זה עובד לא רע, ואפשר ליצור עם זה תבניות וצורות. | 3 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.8331927061080933,
1.1389572620391846,
0.010458881966769695,
0.177476704120636,
-0.4574119746685028,
0.18365108966827393,
0.4928264915943146,
-0.3559419512748718,
1.0634138584136963,
-0.4321725368499756,
-1.451941967010498,
0.2769376039505005,
-0.05697272717952728,
0.019289931282401085,
... |
You will be given a definition of a task first, then some input of the task.
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 preceding the last i elements. i will always have a value less than the length of A.
5, ['S', '6791', 'O', '8335', 'A', '3377', '1515', 'd', 'N', 'e', 'B', '133', 'r', '9313', 'k', '4895', '353']
Output: | S, 6791, O, 8335, A, 3377, 1515, d, N, e, B, 133 | 1 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.13068658113479614,
0.3439791202545166,
-0.4988788962364197,
0.19518595933914185,
-0.18313078582286835,
0.1663782298564911,
0.3092919886112213,
0.05667209252715111,
-0.08425639569759369,
0.025781773030757904,
-0.7013684511184692,
-0.7132565975189209,
0.6180837750434875,
-0.074765048921108... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: The individual will be allowed two attempts -LRB- or possible attempts -RRB- for each exam .
Output: | प्रत्येक परीक्षा के लिए व्यक्ति को दो बार परीक्षा देने ( या संभावित कोशिशें ) की आञा होगी । | 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.3707233667373657,
0.6609275937080383,
0.8007574677467346,
0.050270453095436096,
-0.333392858505249,
0.4217606484889984,
0.8294163942337036,
0.13794156908988953,
-0.14780043065547943,
-0.9791176915168762,
-1.2848784923553467,
0.08891880512237549,
-0.46733376383781433,
0.6684151887893677,... |
Detailed Instructions: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings that are alive) and inanimate entities (beings that are not alive).
See one example below:
Problem: Mr. Miller waved his hands in a gesture of divine despair, spun round, darted up the aisle, turned, and bounded back.
Solution: Mr. Miller, hands
Explanation: In this sentence, the female is performing a motion on the liquids. So the answer should be Yes. Mr. Miller is the animate entity who is taking part in a motion where he is performing various actions like moving his hands around. The hands are the inanimate entity on which a motion is performed. This is the example where multiple entities are involved and are separated by commas.
Problem: When, the person match all the color, points the table and puts the cube puzzle on it.
Solution: | the person | 4 | NIv2 | task1518_limit_answer_generation | fs_opt | [
-0.05229273438453674,
0.3266981840133667,
-0.12618005275726318,
0.07364100962877274,
-0.15536925196647644,
-0.037600092589855194,
0.6005918979644775,
0.607962429523468,
0.07483178377151489,
0.255441814661026,
-0.603495717048645,
-0.21181747317314148,
-0.2774910628795624,
-0.358835756778717... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Input: Consider Input: [-3.302, 23.685, 69.661, 74.979, -46.96]
Output: 23.613
Input: Consider Input: [-31.241, 73.981, 127.71, 166.275, 35.028, -10.432]
Output: 60.22
Input: Consider Input: [-31.29, 31.03]
| Output: -0.13
| 2 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.4206770658493042,
0.2589007318019867,
-1.2330989837646484,
-1.2087911367416382,
0.28044593334198,
0.26319435238838196,
0.4868502616882324,
0.3150367736816406,
0.002760288305580616,
0.0648195669054985,
-1.227075219154358,
0.4763156771659851,
-0.8210064768791199,
0.10604798793792725,
0.... |
Detailed Instructions: 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: religious or non-political religious on the topic.
Problem:রানু কে ১০০০ হাজার জুতা মারা দরকার
Solution: | non-religious | 8 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.4169999957084656,
0.4535257816314697,
-0.10985780507326126,
0.8290257453918457,
-1.1916208267211914,
-0.271416574716568,
0.8133020401000977,
0.213239848613739,
-0.11886298656463623,
-0.12081925570964813,
-0.509269118309021,
0.07042121887207031,
-0.2738080322742462,
-0.2503432035446167,
... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Example: Text: Cheval de soins pour les enfants de 3 ans!
Example solution: French
Example explanation: The given text is in French language
Problem: Text: Comment modifier ou supprimer un bénéficiaire?
| Solution: French | 5 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.4298347234725952,
0.474281907081604,
0.5191971063613892,
-0.8526993989944458,
0.15993188321590424,
-0.6227182745933533,
0.4013289213180542,
0.9297764301300049,
0.2404433786869049,
-0.09003806859254837,
0.04096044972538948,
0.5160748362541199,
-0.6707825064659119,
-0.12209424376487732,
... |
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: religious or non-political religious on the topic.
One example: কোনো মেয়ে ইসলাম ধর্ম গ্রহণ করলে আমি তাকে বিয়ে করতে রাজি(আমি কুরআন হাফেজ)।
Solution is here: religious
Explanation: Here it expresses hate against the religion, hence tagged as religious.
Now, solve this: শেখ মুজিব না থাকলে, দেশ স্বাধীন না হলে জিয়া তোর মা আর তোর মত কুত্তারে স্বীকার করত না
Solution: | non-religious | 6 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.4546177089214325,
0.0033644370269030333,
0.26027828454971313,
0.28335699439048767,
-0.467663049697876,
-0.36100566387176514,
-0.03989999741315842,
0.2779460549354553,
-0.24522551894187927,
0.12184172868728638,
-0.2883109450340271,
-0.4124678671360016,
-0.22060269117355347,
-0.4292437434... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Input: Consider Input: story: Tom was excited to be on Wheel of Fortune He practiced a bit before going on the show. Once there he got second place. He won some money and prizes. He had a great time.
selected sentence: He had a great time.
Output: Tom wins money >Causes/Enables> Tom has a great time
Input: Consider Input: story: Sam was feeling lonely. He decided to cheer himself up with a new pet. He went to the pet store on the weekend. He picked out a red colored parrot that he took home. Sam was no longer lonely with his new pet parrot.
selected sentence: He decided to cheer himself up with a new pet.
Output: Sam feels lonely >Causes/Enables> Sam decides to cheer himself up
Input: Consider Input: story: David was driving down the road. He started to hear a ticking noise. He pulled over to see what it was. The car was almost on fire. He had to call for help.
selected sentence: The car was almost on fire.
| Output: David's car was clicking >Causes/Enables> David's car was almost on fire
| 2 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.2960605025291443,
-0.12749254703521729,
0.017432887107133865,
-0.4387171268463135,
-0.21485018730163574,
-0.5440771579742432,
0.028785238042473793,
0.9466670751571655,
-0.28968217968940735,
-0.0287314560264349,
-0.7524926066398621,
0.5902841091156006,
0.026753824204206467,
-0.65340238809... |
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Teacher: Now, understand the problem? Solve this instance: [[-43, 18, 10, -29, 22], [18, -44, 33], [-50, -49, -12, 49, 48], [33, 13, 31, -16, -47], [48, 44, 23, -17, 31], [36, 13], [-34, -30], [19, 9, -16, 38, 25], [24, 21, -6], [0, -49, -29, 2], [5, 29], [20, -16, -11, 48], [28, -34, -18], [33, 40]]
Student: | [3960, -792, 28800, -16, 2112, 36, 1020, -608, -144, 0, 0, -15360, 17136, 40] | 6 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
0.051122747361660004,
0.278907835483551,
-0.6577092409133911,
-0.7013757228851318,
-0.01604963280260563,
-0.33375266194343567,
0.9190065264701843,
0.7893110513687134,
-0.09175930917263031,
0.15604695677757263,
-0.7523475885391235,
-0.15936197340488434,
-0.4871053099632263,
-0.4688520729541... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
--------
Question: [11.762, 150.905, 5.594, -4.717, 62.877, 187.591, 132.722]
Answer: [ 0.022 0.276 0.01 -0.009 0.115 0.343 0.243]
Question: [211.849, 12.238]
Answer: [0.945 0.055]
Question: [91.01, 208.904, -16.232, 156.166, 165.109, 118.408, 235.89, -35.439]
Answer: | [ 0.099 0.226 -0.018 0.169 0.179 0.128 0.255 -0.038]
| 7 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5630825161933899,
0.3528791069984436,
-0.6807346343994141,
-1.166412115097046,
0.059290867298841476,
-0.026629149913787842,
0.47166264057159424,
-0.45916712284088135,
-0.45759016275405884,
-0.10764768719673157,
-0.961044192314148,
0.41109663248062134,
-0.26009583473205566,
-0.2895742654... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
M: Did you like the film? W: Not particularly. I was rather disappointed. I'd expected it to be much more exciting., Question: What can we learn from this conversation | On the whole, she like the film. | 0 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.1367402821779251,
0.9416332244873047,
0.24486804008483887,
-0.1967085897922516,
-0.07658862322568893,
-0.6172471046447754,
0.13463792204856873,
0.19778332114219666,
0.22301337122917175,
-0.39466679096221924,
-0.6100987195968628,
-0.8274334669113159,
-0.3063790202140808,
-0.66235363483428... |
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, 4, ['4945', '5985', '2975', 'v', '8541', '5375', 'o', 'w', 'z', '189', 'M', '2527', 'H', 's', 'y', '7085', '7107', 'I', 'Q'] | 4945, 8541, z, H, 7107 | 0 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.2589583992958069,
0.46708983182907104,
-0.6967141628265381,
-0.5966700911521912,
-0.4294591546058655,
-0.049511805176734924,
0.40551769733428955,
-0.29671770334243774,
0.048656076192855835,
-0.03832739591598511,
-0.9063541293144226,
-0.38793671131134033,
0.3828011751174927,
-0.0452688708... |
Definition: 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".
Input: Context: Taylor planted new plants and watered them so they can grow.
Answer: that they hydrated the plants
Question: How would Taylor feel afterwards?
Output: | True | 2 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.24852031469345093,
0.1638721078634262,
-0.0712578296661377,
0.12245358526706696,
0.034593112766742706,
-0.9304899573326111,
0.723045825958252,
0.7038379907608032,
0.32203879952430725,
0.008717678487300873,
-0.5116937756538391,
-0.21705788373947144,
-0.7186024188995361,
0.255168914794921... |
Teacher:In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Teacher: Now, understand the problem? Solve this instance: Hypothesis: It is wrong to start a new relationship until the previous one has clearly ended.
Update: You're separated and it's a matter of paperwork.
Student: | weakener | 6 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.33184096217155457,
0.44628822803497314,
-0.13597531616687775,
0.07371599972248077,
0.041784461587667465,
-0.9689256548881531,
0.7380753755569458,
1.1775574684143066,
0.24498024582862854,
-0.6519209742546082,
-1.2966134548187256,
0.019408755004405975,
-0.7605656385421753,
-0.101921081542... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Ustalono więc niezbędne wytyczne i zasady. Po części chciano chronić kobiety w wieku rozrodczym przed poddawaniem się jakimkolwiek badaniom medycznym.
Student: | אז כמה הנחיות או חוקים ממש הכרחיים נכתבו, וחלק מזה היה הרצון להגן על נשים בגיל הפוריות מלהכנס למחקר רפואי כלשהו. | 6 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.6264312863349915,
0.32390671968460083,
-0.06280361115932465,
-0.43565791845321655,
-0.1857036054134369,
-0.42035603523254395,
0.7585204839706421,
0.048491284251213074,
0.4796816408634186,
-0.31175124645233154,
-0.506363034248352,
0.11288214474916458,
-1.0501255989074707,
-0.221979960799... |
instruction:
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
question:
या योजनेमुळे देशातील गरीब जनतेला आरोग्य समस्यांचा सामना करावा लागणार नाही.
answer:
તેનાં પરિણામે દેશનાં ગરીબ વ્યક્તિને હવે બિમારીનાં સંકટ સામે ઝઝૂમવું નહીં પડે.
question:
बंधू-भगिनीनो, महिला सबलीकरणाला सरकारचे प्राधान्य आहे.
answer:
ભાઈઓ અને બહેનો, મહિલા સશક્તિકરણ હંમેશા સરકારની અગ્રતા રહી છે.
question:
त्याच प्रमाणे samskritabharati. in च्या माध्यमातून तुम्ही घर बसल्या, सहजतेने संस्कृत भाषा शिकू शकता.
answer:
| આ રીતે sanskritbharati. in ના માધ્યમથી તમે ઘરે બેઠાં સરળ રીતે સંસ્કૃત શીખી શકો છો.
| 9 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
0.09945732355117798,
0.3360190987586975,
-0.07167127728462219,
-0.9036982655525208,
0.41880878806114197,
-1.2047059535980225,
0.9483805894851685,
-0.0032454144675284624,
0.009096507914364338,
-0.17769736051559448,
-1.2231180667877197,
-0.09585878252983093,
-0.6220919489860535,
-0.101017110... |
Detailed Instructions: 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.
See one example below:
Problem: Category: WHO'S BUYING?
Clue: YouTube, in 2006
Solution: google
Explanation: Google acquired, i.e. bought, YouTube in 2006 for $1.65 billion.
Problem: Category: WYOMING
Clue: The source of this main tributary of the Columbia River is located in Yellowstone National Park
Solution: | the snake river | 4 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.608579158782959,
0.5360984206199646,
-0.14206084609031677,
-0.5990856885910034,
-0.37443169951438904,
0.1827322244644165,
0.14158272743225098,
0.24250108003616333,
0.07106517255306244,
-0.09376345574855804,
0.12068429589271545,
-0.20723038911819458,
-0.447221040725708,
-0.29132825136184... |
Given a passage, write a short incorrect summary based on the passage.
barclays , the second-biggest british bank , said tuesday that investors from the oil-rich gulf had agreed to amend terms of their proposed capital injection worth billions of dollars . | afp client advisory on australian cricket coverage | 0 | NIv2 | task1579_gigaword_incorrect_summarization | zs_opt | [
0.46510761976242065,
1.3756760358810425,
0.3429507613182068,
-0.6615127325057983,
-0.3802001476287842,
-0.5170827507972717,
0.5828804969787598,
-0.18274268507957458,
0.26924774050712585,
0.0902419239282608,
0.4920787513256073,
-0.014856082387268543,
-0.17264139652252197,
-0.327551782131195... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Question: is it a positive review?
Example solution: yes
Example explanation: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.
Problem: Review: Man, I really love the new DVD that Universal put out. I've never seen THE SENTINEL look this good since I had to put up with crappy, grainy VHS tapes for years. Unfortunately there are no extras beyond a trailer that looks pretty worse for wear. And AVOID the Goodtimes DVD at all costs. It sucks.Anyway, troubled fashion model Alison Parker (Cristina Raines) moves into haunted NYC brownstone, only it's more than just haunted. It's also a portal to hell and the Vatican keeps an old blind priest (John Carradine) to keep watch over it and make sure the devils and arch-angels don't escape. This has an all star cast full of old-timey actors like Ava Gardner, Arthur Kennedy, Jose Ferrer etc... as well as cameos of upcoming 80s stars including Christopher Walken, Jeff Goldblum (who's voice was mysteriously overdubbed) and Tom Berenger. And you won't even recognize Jerry Orbach from LAW & ORDER. I had to do a double-take when I didn't quite place where I'd seen him before.Nice gore scenes of Alison slicing the eye and nose off her dead father's rotting corpse that's been possessed by the devil. And there's a neat ending where disfigured, deformed people try to haunt Alison into committing suicide so she won't be the next one to guard the portal. It seems Alison's troubled past makes her a prime candidate by the Vatican to become the next sentinel.An excellent, creepy 70s classic from director Michael Winner that shouldn't be missed. I also recommended it for those who want something a little more imaginative beyond the usual stupid teenager slashers and horror comedy.7 out of 10- Question: is it a negative review?
| Solution: no | 5 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.02608446218073368,
-0.09604912996292114,
-0.520301878452301,
0.5555267930030823,
0.14425742626190186,
-0.43210935592651367,
1.0077440738677979,
0.8250216245651245,
0.18851034343242645,
-0.04745893180370331,
0.3556976318359375,
0.44987571239471436,
-0.3773992955684662,
0.1291739344596862... |
instruction:
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
question:
CLAIM : The following post is HISTORICAL. POST : So recently our Video Production teacher learned of some students vaping habits in class, and decided to let the class know to tell him about anybody that Vaped. Well I decided to tell him about someone (privately) and now apparently other people think I was the one who started the whole ordeal and now our teacher is going to have the class drug tested.
The issue with that is that 90% of the higher grades and the upperclassmen are drinkers/smokers/vapers and I know that they will fail, and will probably hate me, so Reddit, am I the asshole?
answer:
yes
question:
CLAIM : The following post is HISTORICAL. POST : TL;DR at the bottom
So, a little backstory. Me and my friend has been really close since a couple years back, we share everything.
A while back she started talking to this guy and at first I thought there was something between them so of course I asked like a million times.
Every time the same answer.
We’re just friends, I don’t like him, etc. After a while I just gave up because it seemed pretty clear that they were in fact just friends.
Now I’ve been single for way to long in my opinion and I easily get bored of people, therefore I start talking to new people all the time and I stumbled upon this guy. I got his number and we talked for a couple hours that night.
Like I earlier mentioned me and my bestie keep no secrets so I told her that I was talking to this guy. Since I had joked about the two of them before I left the following message “haha think I might have stolen you boyfriend just now”. She doesn’t have a boyfriend so at first she was like what? Who are you talking about?
I explain to her that I got this guys number and had talked to him quite a lot the night before and she FREAKED OUT.
I’m just gonna say it again, she had said multiple times that there’s nothing between them and never will be and I trusted her.
So now she was all mad at me and I could not for the life of me figure out why. Of course I asked again if she was into him and again she said no.
My bestie is a little on the jealous side and I understand that but she wouldn’t even let me talk to a guy SHE WASN’T EVEN INTERESTED IN.
At this point I was quite mad.
We argued for a bit and she literally forbid me to talk to him.
Now I’m no saint so I talked to him a tiny bit but making sure I wasn’t actually getting to know him. I know that was wrong but that is not what I need help with so moving on.
After a couple days she finally tells me that she kinda liked the idea of him. After about a week she gave me permission to talk to him again but she’s still being all passive aggressive about it. I know what I did is wrong but I kinda think her reaction was uncalled for.
I really like this guy and hopefully he likes me too but this whole situation is kinda ridiculous.
TL;DR
My friend is friends with this guy, I start talking to him, she panics and forbids me to talk to him.
Please help me decide if I’m the asshole. I know I should’ve made sure that she was okay with it but am I really the only one to blame for this mess?
answer:
yes
question:
CLAIM : The following post is HISTORICAL. POST : Ok so to start off , I have no idea how to make an AITA post. It's 1:00 Am , and I'm sick at home. (This takes place in 2015.) Context: We were both very shy and only communicated with notes for the beginning of our relationship.
Anyway , my ex girlfriend ,whose name I won't reveal, and I were together for about a year. Everything was great , until the end of the year. She didn't talk to me as much as normal. She didn't even communicate with me through notes , she sat directly next to me but ignored any of my attempts to talk to her. Confused , I tried to ask her friends about it but quickly stopped , remembering that our relationship was supposed to be a secret. Then the year ends , I come back not knowing what to expect. We don't sit by each other anymore , and she doesn't sit close enough for me to pass notes to her either. I was too embaressed to ask her , if we were still together she might have thought that I forgot, but I was also scared , that if I asked she might say that we weren't. I NEEDED to know. So I asked one of her friends if she was dating anyone , and her friend replied no. Even though our relationship was "Secret" I assumed the worst. The weirdest part by far was that throughout the following years , (including this one) , she was very polite , friendly , and overall more talkative towards me. She got involved in my friend group , hung out around me more. She flirts with me often as well , and I had / have no idea how to deal with this. So what did I start doing? I started ignoring her. I intentionally avoid and ignore her and her friend group. (Despite some of her friends / relatives being my close friends.) Am I the asshole for avoiding her?
answer:
| yes
| 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.1655651330947876,
-0.035853464156389236,
0.0997338518500328,
-0.45692479610443115,
0.41403114795684814,
-0.7444187998771667,
0.7152445912361145,
1.1244306564331055,
-0.6730644702911377,
-0.07729217410087585,
-0.0075654624961316586,
-0.18446314334869385,
-0.3022257089614868,
0.00728971883... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Eu adoitaba entrar en discusións que me daban dor de cabeza.
A: | ונהגתי להכנס לויכוח שבאמת גרם לי לכאב בטן. | 7 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
0.07284633815288544,
0.39089158177375793,
0.18273155391216278,
-0.7049250602722168,
-0.36705508828163147,
-0.779285192489624,
0.8936351537704468,
-0.17706593871116638,
0.40472811460494995,
-0.2113896608352661,
0.11034926772117615,
0.026024725288152695,
-1.0894994735717773,
0.57820945978164... |
Teacher:In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. 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
Teacher: Now, understand the problem? Solve this instance: Who founded the city where 10,000 metres was run in 30:42.26 by Sally Kipyego ?
Student: | WP VBD DT NN WRB CD NNS VBD VBN IN CD IN NNP NNP . | 6 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.10639677941799164,
0.6095473170280457,
-0.11204157024621964,
0.2342526912689209,
0.14328163862228394,
-0.9200847148895264,
0.993022620677948,
0.7803669571876526,
-0.447165310382843,
-0.5054948329925537,
-0.2037937492132187,
0.6082867383956909,
-0.8494455814361572,
-0.25291016697883606,
... |
Instructions: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Input: i hate that flim everyone does you are choice is not good
Output: | angry | 3 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.2834872901439667,
0.3274497985839844,
0.7099921703338623,
-0.4211304187774658,
-0.07611691951751709,
-0.34242692589759827,
0.14730575680732727,
0.6080459356307983,
0.2942918539047241,
0.13306355476379395,
-0.496674120426178,
-0.5610452890396118,
-0.5843513607978821,
-0.20893843472003937... |
Q: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
It comes after Lord Peter Hain said the banks may "inadvertently have been conduits" for laundered money. The Labour peer told the House of Lords that up to £400m of illicit funds may have been moved by the banks. His concerns relate to links between South Africa's President Jacob Zuma and a wealthy business family, the Guptas. The peer has written to the Chancellor Philip Hammond, telling him a whistle-blower had indicated the banks "maybe inadvertently have been conduits for the corrupt proceeds of money". Lord Hain told the BBC he named 27 people in the letter, in addition to companies, adding that any person or firm linked to alleged corruption in South Africa is "going to be badly contaminated". The Treasury has referred Lord Hain's letter to regulators, including the Financial Conduct Authority, and the SFO. A Treasury spokesman said: "We take allegations of financial misconduct very seriously, and have passed Lord Hain's letter on to the Financial Conduct Authority and relevant UK law enforcement agencies, including the National Crime Agency and Serious Fraud Office, to agree the right action." The BBC's correspondent in Johannesburg, Andrew Harding, said Lord Hain's letter was "a new twist in a giant corruption scandal that is shaking the South Africa state, and damaging the reputations of a number of global companies". Mr Zuma and the Guptas strongly deny wrongdoing, and say they are victims of a "politically motivated witch-hunt". But leaked emails and official investigations have fuelled claims that the Guptas have bought influence in government in order to loot state enterprises. In South Africa, the scandal has already ruined British public relations company Bell Pottinger and damaged auditors KPMG, which removed its top executive team in the country. A spokeswoman for the FCA said it was already in contact with the banks named by Lord Hain and would "consider carefully further responses received". Standard Chartered said: "We are not able to comment on the details of client transactions, but can confirm that following an internal investigation accounts were closed by us in 2014." HSBC declined to comment. Lord Hain, a leading anti-apartheid campaigner who grew up in South Africa, urged UK authorities "to track that stolen money down and make sure that British financial institutions help return it to South African taxpayers". It is claimed that money was taken out of South Africa via Hong Kong and Dubai. Lord Hain, a former Northern Ireland secretary, alleged in his letter to the chancellor that the issue was "a result of the corruption and cronyism presided over by President Zuma and close allies the Guptas". During his Lords statement, the peer asked what steps the government was taking to prevent money laundering through UK banks. The minister, Lord Bates, said the UK is "committed" to fighting money laundering and is "concerned" at the allegations. He added that the high commission in South Africa is "monitoring the issue closely". Meanwhile, the Financial Times on Thursday reported that the FBI had opened an investigation into possible links between the Guptas and "individuals, bank accounts, and companies in the US". The Gupta brothers Ajay, Atul and Rajesh Gupta have interests in computer, mining, media, travel, energy and technology and employ about 10,000 people through their company Sahara Group.
A: | UK financial regulators and the Serious Fraud Office are to review if banks HSBC and Standard Chartered are linked to a South Africa corruption scandal. | 7 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.35662132501602173,
0.3087189495563507,
-0.23054584860801697,
-1.0535541772842407,
0.6651620864868164,
-0.23180130124092102,
0.4118700623512268,
0.45408275723457336,
-0.3411436975002289,
-0.23522770404815674,
0.2198428213596344,
1.309355616569519,
-1.1600443124771118,
-0.07107669860124588... |
instruction:
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
question:
zerosevenonezerosixzerosixsixsix
answer:
071060666
question:
seventwofourseveneight
answer:
72478
question:
sixfoursixoneonefivethreeninethreezero
answer:
| 6461153930
| 9 | NIv2 | task1443_string_to_number | fs_opt | [
-0.5521349906921387,
1.5325326919555664,
-0.30183687806129456,
-1.2023626565933228,
-0.4183594584465027,
-0.7252495884895325,
0.9816079139709473,
0.06683613359928131,
0.007884908467531204,
-0.682886004447937,
-0.4987161159515381,
0.39497625827789307,
-1.1221544742584229,
-0.230491727590560... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Input: واذا كان علي ان اختار مجموعة اعتقد انه جامعتنا الخفية ، فهي جيل من الناس يحاولون اخذ هذه الادوات ووضعها قيد الخدمة ، ليس من اجل مزيد من الجدل ، بل لأجل جدل أفضل ، كنت سأختار مبرمجين المصادر المفتوحه.
Output: | و اگه بخوام گروهی از مردم را دستچین کنم که به گمان من انجمن نامرئی ما هستند ، نسلی آفرینشگر از مردم که تلاش می کنند این ابزارها رو به خدمت بگیرند ، نه برای مجادله ی بیشتر ، بلکه برای مجادله ی بهتر ، برنامه نویسان متن باز رو گزینش می کنم. | 3 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.7459313869476318,
0.6528432965278625,
-0.678860604763031,
-0.2830536663532257,
-1.2708592414855957,
-0.032867901027202606,
0.9612486362457275,
0.12068009376525879,
0.4803081154823303,
0.25550228357315063,
-0.961239755153656,
0.002746647223830223,
-0.9070140719413757,
-0.3947510719299316... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
One example is below.
Q: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
A: yes
Rationale: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Q: Abstract: Ten-Eleven Translocation-2 (TET2) inactivation through loss-of-function mutation, deletion and IDH1/2 (Isocitrate Dehydrogenase 1 and 2) gene mutation is a common event in myeloid and lymphoid malignancies. TET2 gene mutations similar to those observed in myeloid and lymphoid malignancies also accumulate with age in otherwise healthy subjects with clonal hematopoiesis. TET2 is one of the three proteins of the TET (Ten-Eleven Translocation) family, which are evolutionarily conserved dioxygenases that catalyze the conversion of 5-methyl-cytosine (5-mC) to 5-hydroxymethyl-cytosine (5-hmC) and promote DNA demethylation. TET dioxygenases require 2-oxoglutarate, oxygen and Fe(II) for their activity, which is enhanced in the presence of ascorbic acid. TET2 is the most expressed TET gene in the hematopoietic tissue, especially in hematopoietic stem cells. In addition to their hydroxylase activity, TET proteins recruit the O-linked β-D-N-acetylglucosamine (O-GlcNAc) transferase (OGT) enzyme to chromatin, which promotes post-transcriptional modifications of histones and facilitates gene expression. The TET2 level is regulated by interaction with IDAX, originating from TET2 gene fission during evolution, and by the microRNA miR-22. TET2 has pleiotropic roles during hematopoiesis, including stem-cell self-renewal, lineage commitment and terminal differentiation of monocytes. Analysis of Tet2 knockout mice, which are viable and fertile, demonstrated that Tet2 functions as a tumor suppressor whose haploinsufficiency initiates myeloid and lymphoid transformations. This review summarizes the recently identified TET2 physiological and pathological functions and discusses how this knowledge influences our therapeutic approaches in hematological malignancies and possibly other tumor types.. Title: Chimeric live, attenuated vaccine against Japanese encephalitis (ChimeriVax-JE): phase 2 clinical trials for safety and immunogenicity, effect of vaccine dose and schedule, and memory response to challenge with inactivated Japanese encephalitis antigen.
A: | no | 9 | NIv2 | task1587_scifact_classification | fs_opt | [
0.5717768669128418,
0.33072686195373535,
-0.9457598924636841,
0.467944860458374,
1.0049716234207153,
-0.34892556071281433,
0.11834798753261566,
1.01580011844635,
0.141521155834198,
-0.3365994691848755,
-0.7213877439498901,
0.20913082361221313,
-0.6057597398757935,
0.319846510887146,
0.31... |
Given the task definition, example input & output, solve the new input case.
You are provided with an "Event", "Intent" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.
Example: Event: PersonX enters PersonX's home. Intent: 1) to relax at home 2) to have some alone time 3)to relax 4) to end the day
Output: relieved
In the input "Event" PersonX enters his home. He enters his home to either relax or have some time alone. Based on these input PersonX is likely to feel relieved, tired, or comfortable. Here the output emphasizes what PersonX feels about the "Event" and "Intent". Here we limit to maximum one reaction for a given "Event". Hence the ouput is relieved.
New input case for you: Event:PersonX holds PersonY's ___ during behavior. Intent: 1) to be helpful 2) to fill the place of
Output: | more | 1 | NIv2 | task922_event2mind_word_generation | fs_opt | [
0.290286123752594,
0.5350569486618042,
-0.1428694874048233,
-0.15135420858860016,
0.025765269994735718,
-0.20508170127868652,
0.8201552629470825,
0.47197863459587097,
0.388808935880661,
-0.20406723022460938,
0.050629112869501114,
0.15783464908599854,
-0.5086114406585693,
-0.281891196966171... |
You are given a sentence in Gujarati language and we ask you to translate those to the English language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal meaning does not make sense.
[EX Q]: જ્યારે ડેસ્કટોપ બતાવો સ્થિતિ દાખલ કરી રહ્યા હોય ત્યારે ક્રિયાપટ્ટીમાં નહિં હોય તેવી વિન્ડો છુપાવો
[EX A]: Hide windows not in taskbar when entering show desktop mode
[EX Q]: ફ્લોટીંગ પસંદગી નવા સ્તરમાં અથવા છેલ્લા સક્રિય સ્તરમાં એન્કર થયેલ હોવી જ જોઈએ ચિત્ર પર અન્ય પ્રક્રિયાઓ કર્યા પહેલાં. સ્તરો સંવાદમાં "નવું સ્તરquot; અથવા "એન્કર સ્તરquot; પર ક્લિક કરો, અથવા એવું જ કરવા માટે મેનુઓ વાપરો.
[EX A]: A floating selection must be anchored to a new layer or to the last active layer before doing other operations on the image. Click on the "New Layerquot; or the "Anchor Layerquot; button in the Layers dialog, or use the menus to do the same.
[EX Q]: તમારાં નેટવર્ક જોડાણની સ્થિતિ વિશે વધારે વિગતો વિશે જોવા માટે નેટવર્ક જોડાણ ચિહ્ન પર ક્લિક કરો.
[EX A]: | Click the network connection icon to show more details about the status of your network connection.
| 6 | NIv2 | task1351_opus100_translation_gu_en | fs_opt | [
-0.543229341506958,
-0.23011183738708496,
-0.14355319738388062,
0.20160634815692902,
0.44298815727233887,
-0.5233993530273438,
0.23430943489074707,
0.9253672957420349,
-0.32326218485832214,
0.36018890142440796,
0.24283269047737122,
0.14958122372627258,
-0.10190579295158386,
0.2291672229766... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
One example is below.
Q: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
A: 52% of computer users are Internet literate.
Rationale: This is a good example. The above sentence is correctly translated from Persian to English.
Q: دولت عوض خواهد شد و تصور کنید در صورت روی کار آمدن یک دولت تندروی اسلامی چه پیش خواهد آمد؟
A: | The government will change and imagine if any radical Islamist government comes to power what will happen? | 9 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.9737361669540405,
1.0598466396331787,
-0.15911713242530823,
-0.6015259623527527,
-0.8724156618118286,
-0.5708796977996826,
0.8425904512405396,
0.9267292022705078,
1.0311331748962402,
0.30034297704696655,
-0.19726113975048065,
0.2115565836429596,
-0.707112193107605,
-0.30674880743026733,... |
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 an answer, and your task is to generate a reasonable question for that answer.
My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Why? The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
New input: I'm looking to get a roommate.
Solution: | Are you going to live alone? | 0 | NIv2 | task568_circa_question_generation | fs_opt | [
0.007147142663598061,
0.3506857752799988,
0.12698794901371002,
0.24703606963157654,
0.05333620309829712,
-0.005656547844409943,
0.6902937293052673,
0.37226831912994385,
0.24340057373046875,
-0.23292171955108643,
-0.3646402657032013,
-0.35818180441856384,
-0.6921489238739014,
0.256814241409... |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
Q: To speed up the process of cooking food in restaurants,
A: | cook the food on heat that is twice as hot as usual to save time. | 4 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.13690489530563354,
0.9826646447181702,
-0.4684073328971863,
0.30038177967071533,
-0.6314407587051392,
-0.1423587203025818,
0.5630020499229431,
0.4989951252937317,
-0.0020680641755461693,
0.2936168313026428,
0.2145218402147293,
0.040052760392427444,
-0.2858709692955017,
-0.061003096401691... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Voglio mostrarvi due immagini. ma prima voglio dirvi che ho lavorato al Global Crop Diversity Trust con molti scienziati - in particolare a Stanford e all'Università di Washington - chiedendo: "" Cosa succederà all'agricoltura in un'era di cambiamento climatico? "" "" E quali caratteristiche genetiche devono avere le nostre specie agricole per permetterci di adattarci a questo? "" | Quero amosarlles dúas diapositivas, pero, antes, quero contarlles que no Global Crop Diversity Trust levamos traballado cunha serie de científicos — particularmente das universidades de Stanford e Washington — para formularlles a seguinte pregunta: Que lle vai pasar á agricultura nunha era de cambio climático e que tipo de trazos e características lles cómpren aos nosos cultivos agrícolas para ser capaces de adaptarse a el? | 0 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-1.3566458225250244,
0.4753396511077881,
-0.24067911505699158,
-0.15835487842559814,
-0.6110118627548218,
-1.5906827449798584,
-0.3728328049182892,
0.8943806886672974,
-0.2650851011276245,
-0.15236510336399078,
-0.5533156991004944,
0.16458499431610107,
-0.8371261358261108,
0.40825030207633... |
Detailed Instructions: In this task, you are given a year. You need to check if it is a leap year or not. A year may be a leap year if it is evenly divisible by 4. Years that are divisible by 100 (century years such as 1900 or 2000) cannot be leap years unless they are also divisible by 400. Return 1 if it is a leap year, else return 0.
Problem:1804
Solution: | 1 | 8 | NIv2 | task1332_check_leap_year | zs_opt | [
-0.9541685581207275,
1.8552525043487549,
-0.3029315769672394,
0.38520777225494385,
-0.08329525589942932,
-0.32916921377182007,
0.3108348250389099,
0.8361940383911133,
-0.09189988672733307,
-0.020895106717944145,
-0.1949976086616516,
0.21578392386436462,
-0.4449787735939026,
-0.250858545303... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Example Input: System Reference: what price range are you looking for?
Original Reference: do you need to know the price range of the hotel you are looking for?.
Example Output: 1
Example Input: System Reference: can i confirm what area you are looking for a hotel near?
Original Reference: would you like to search for a hotel near the gastro area?.
Example Output: 0
Example Input: System Reference: there are 239 restaurants available serving any meal.
Original Reference: there are 239 good restaurant -s for any meal.
Example Output: | 1
| 3 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.6232959032058716,
0.6954070925712585,
-0.5593761205673218,
0.20851391553878784,
-0.048205096274614334,
-0.7022281885147095,
0.9838300347328186,
0.4695354998111725,
-0.5137548446655273,
-0.11119745671749115,
-0.311479389667511,
-0.12101875245571136,
-0.5388166904449463,
-0.40165042877197... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
One example is below.
Q: password = a
A: 5
Rationale: Using 5 steps, it can become a strong password
Q: password = rdkwlFlb!!m7hADgH6ZLaxlWUxBfIa!HcVv
A: | 15 | 9 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.9179733991622925,
1.0901371240615845,
0.11197885870933533,
-0.5823689699172974,
-0.05712342634797096,
-0.4194585978984833,
1.294356107711792,
-0.07772839069366455,
0.2905634045600891,
-0.853939414024353,
0.052962709218263626,
-0.20004531741142273,
-0.8542988300323486,
-0.3073794245719909... |
In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example: அந்த பொருள் பாதுகாப்பான வகையில் பொட்டலம் கட்டப்பட்டது
அது எளிதில் முறியக்கூடியதாக இருந்தது
Example solution: cause
Example explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Problem: அந்த அலுவலகம் மூடப்பட்டிருந்தது
அன்று விடுமுறை நாள்
| Solution: cause | 5 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | fs_opt | [
-0.0424262136220932,
0.8622465133666992,
0.45576679706573486,
-0.337695837020874,
-0.03519006818532944,
-1.0412955284118652,
-0.1995025873184204,
0.8631908297538757,
0.07762022316455841,
0.23677752912044525,
-0.5594483613967896,
0.4164826571941376,
-0.5521578192710876,
-0.15276286005973816... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: （ 女らしさや失敗を避けていいわけじゃない ）
A: | התחלתי את חיי כקריקטוריסטית. | 9 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.6904250383377075,
-0.00892336294054985,
0.1863919347524643,
-0.18649354577064514,
0.02971074730157852,
0.07283955812454224,
0.506544828414917,
-0.44196832180023193,
0.5693908929824829,
-0.2146620750427246,
-0.7973717451095581,
0.013646776787936687,
-0.6502038240432739,
0.238043338060379... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Category: AN "ARM" OR A "LEG"
Clue: Assembled in the 1580s, it was commanded by Medina Sidonia
Student: | the spanish armada | 6 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.23007458448410034,
0.6671818494796753,
-0.6143366694450378,
0.0027032073121517897,
-0.28580647706985474,
-0.639208197593689,
-0.1615622639656067,
0.45484745502471924,
0.5337072610855103,
-0.25693774223327637,
0.44109129905700684,
0.45905372500419617,
-0.5381472110748291,
0.2359667718410... |
Instructions: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those cases, please generate all such options separated by a comma (e.g. "A, B" is a valid answer). Do not generate anything else apart from one or more of the following characters: 'A', 'B, 'C', 'D', etc.
Input: Paragraph- Sent 1: Hundreds of thousands of years before China was to become the world's longest-running civilization, the prologue was enacted by means of the flicker of a carefully tended fire.
Sent 2: Peking Man, a forebear of Homo sapiens, achieved a mastery of fire.
Sent 3: We might call it the first Chinese invention.
Sent 4: Not that he devised flint and steel, matches, or any other way of creating fire.
Sent 5: Peking Man simply learned how to capture flame, perhaps from a forest fire, and keep it alight.
Sent 6: He thus enjoyed two revolutionary luxuries: light and heat.
Sent 7: Technologically and sociologically, it was a phenomenal breakthrough: with fire, communities could live year 'round in one cave, in which cooking and even smelting could be pursued.
Sent 8: And so, by 600,000 b.c., about 50 km (31 miles) southwest of present-day Beijing, the ancestors of mankind were ready to settle down.
Sent 9: Several hundred thousand years later, when Marco Polo reached the capital of China, he was astonished by a further development in fire technology.
Sent 10: The Chinese, he announced, used black stones dug out of mountains as fuel.
Sent 11: Europeans did not yet have a word for "coal," nor had they discovered a use for it.
Sent 12: The First Dynasty The confluence of mythology and history in China took place around 4,000 years ago during what is referred to as the Xia (Hsia) Dynasty.
Sent 13: This was still the Stone Age, but the people are thought to have made silk from thread produced by the worms they cultivated on the leaves of their mulberry trees.
Sent 14: And written language (which evolved as early as 4,500 to 5,000 years ago) was already in use, originally by oracles and then by official scribes — China's first scholars.
Sent 15: During the second of the quasi-legendary dynasties, the Shang (from about the 16th to 11th centuries b.c.), the Chinese developed an interest in art.
Sent 16: Careful geometric designs as well as dragon and bird motifs adorned bowls and implements.
Sent 17: And with the arrival of the Bronze Age, the Chinese created bronze vessels of such beauty and originality that, until modern times, archaeologists refused to believe they were cast 3,000 years ago.
Sent 18: The Shang Dynasty gave rise to the concept of one Chinese nation under one government.
Question: When the Xia Dynasty came about was written language already in place? (A) No (B) Yes (C) No. The Xia Dynasty was 4,000 years ago and written language appears 4,000 to 5,000 years ago.
Output: | B. | 3 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.31671270728111267,
0.7520688772201538,
-0.2671962380409241,
-0.05737069249153137,
0.6010990142822266,
-0.5737760066986084,
0.2926636338233948,
1.1251109838485718,
-0.4157589375972748,
0.2571054995059967,
0.09428846836090088,
0.4992344379425049,
-0.39201483130455017,
-0.025964561849832535... |
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 the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX arrives home<sep>Tail: to leave previous place.
Output: | No | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.4564972221851349,
0.5276838541030884,
0.1950751543045044,
0.027644941583275795,
-0.442435085773468,
-0.8131777048110962,
1.220003366470337,
0.33912327885627747,
-0.6717219352722168,
-0.39600449800491333,
-0.4766049385070801,
-0.11385458707809448,
-0.6345664262771606,
0.2961117625236511,
... |
Detailed Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Q: Mike went to buy clothing but had little money and poor style, at the register he could not afford clothing because of the _ .
A: | money | 9 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.17489778995513916,
0.3222833275794983,
0.26199227571487427,
-0.07128877192735672,
0.28713682293891907,
-0.622626781463623,
0.7028784155845642,
1.0073246955871582,
0.4835042953491211,
0.23747821152210236,
0.22955718636512756,
-0.17056657373905182,
0.12683135271072388,
0.09048961102962494... |
Given the task definition and input, reply with output. You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
A dog lay in the corner.
| 1 | 5 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.4330444931983948,
0.9164007902145386,
-0.25536999106407166,
-0.21457044780254364,
-0.1683339625597,
0.10032735764980316,
-0.02762865647673607,
0.6336629390716553,
-0.24159783124923706,
-0.32647904753685,
-0.6995171904563904,
0.0123288594186306,
0.2673598527908325,
-0.4883650541305542,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
كان هذا بعد الحادي عشر من سبتمبر ؛ كانت المدينة تمر بظروف عصيبة.
Output: | Esto fue luego del 11-S; la ciudad pasaba momentos difíciles. | 1 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
0.0788276270031929,
0.9491022825241089,
-0.11479508131742477,
-0.6458344459533691,
-0.2369770109653473,
-0.1317683458328247,
0.5485827922821045,
1.3360252380371094,
0.4582676291465759,
0.054396942257881165,
-0.43802493810653687,
-0.2763434648513794,
-0.620331883430481,
0.12363772839307785,... |
Read the passage and find the corresponding person for the given pronoun. The word between ** ** is the target pronoun.
One example is below.
Q: The current members of Crime have also performed in San Francisco under the band name ''Remote Viewers``. Strike has published two works of fiction in recent years: Ports of Hell, which is listed in the Rock and Roll Hall of Fame Library, and A Loud Humming Sound Came from Above. Rank has produced numerous films (under **his** real name, Henry Rosenthal) including the hit The Devil and Daniel Johnston.
A: Henry Rosenthal
Rationale: The person's name is referenced next to the pronoun itself. Therefore it is clear 'Henry Rosenthal' is the correct answer.
Q: On the June 13 All-Star edition of Raw, Rosa Mendes lost a 7 on 7 divas tag team match teaming with fellow heels, The Bella Twins, Melina, Alicia Fox, Maryse and Tamina in a losing effort to Kelly Kelly, Beth Phoenix, Gail Kim, Eve Torres, Natalya, A.J and Kaitlyn. On the June 17, 2011 edition of SmackDown, Rosa Mendes teamed up with Tamina and Alicia Fox, to pick up a victory against the team of Natalya, A.J, and Kaitlyn. On July 15 edition of SmackDown, **she** lost to the Divas Champion Kelly Kelly, despite being accompanied by Fox.
A: | Rosa Mendes | 9 | NIv2 | task891_gap_coreference_resolution | fs_opt | [
0.85215824842453,
0.3900534510612488,
-0.7985467910766602,
0.06485077738761902,
0.37573161721229553,
-0.32736533880233765,
0.9065209627151489,
0.6162449717521667,
-0.00034232763573527336,
0.14784634113311768,
-0.35060203075408936,
0.5463122129440308,
-0.5550249218940735,
0.2600467205047607... |
Definition: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Input: Passage: Long before Elian thrust them into the unrelenting glare of the international spotlight, the Gonzalez clan was a typical example of the conflicts and painful separations wrought by the Cuban revolution. Of the nine brothers and sisters of Manuel's generation, five have come to Miami, while three remain in Cuba and one has passed away. Question: What will happen in the future? Events: ['thrust', 'was', 'come', 'remain', 'passed', 'revolution', 'wrought']
Output: | 2 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.41318392753601074,
0.6104238629341125,
-0.019108980894088745,
-0.6244669556617737,
-0.41988229751586914,
0.38649022579193115,
0.6308842897415161,
0.6554899215698242,
-0.018499797210097313,
0.21181946992874146,
-0.2966635227203369,
0.05359559506177902,
-0.570396900177002,
0.45903080701828... | |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: So we really can make changes.
A: | Así que realmente podemos cambiar as cousas. | 4 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.479473352432251,
1.4389026165008545,
0.583468496799469,
-0.7221729755401611,
-0.20759256184101105,
-1.9471749067306519,
0.051668018102645874,
1.2189984321594238,
0.4052152633666992,
-0.051863230764865875,
0.16488584876060486,
0.6375746130943298,
-0.62283855676651,
-0.15926021337509155,
... |
Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Title: Yearly Bonus. Sentence 1: Tim had extra bills to pay around the holiday season. Sentence 2: Luckily his yearly company bonus was enough to cover it. Sentence 3: When he asked they told him that the company had to scale that back. Sentence 4: Tim noticed he never got one this year. Sentence 5: Tim was disappointed and had to reallocate his resources.
A: | 34 | 7 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.7197630405426025,
0.50299072265625,
0.21924537420272827,
-0.4813995957374573,
0.11372982710599899,
-0.652043879032135,
0.32267600297927856,
0.6694235801696777,
0.20112957060337067,
0.17038078606128693,
-0.3987589478492737,
-0.12006380409002304,
-1.2154417037963867,
-0.012544486671686172... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example solution: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example explanation: The Polish sentence is correctly translated into Galician, because the meaning is preserved.
Problem: Był taki najedzony, szczęśliwy i gruby jak ją jadł, że jak do niego podszedłem bliżej... Na około 6 metrów, żeby zrobić to zdjęcie... Jego jedyną obroną była dalsza konsumpcja foki.
| Solution: E estaba tan farto, tan ledo e gordo comendo a foca que, segundo me achegaba a el (a uns seis metros de distancia) para tomar esta fotografía, a súa única defensa era seguir comendo máis foca. | 5 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.7547982931137085,
1.1831920146942139,
-0.24396318197250366,
-1.0018607378005981,
-0.3423430323600769,
-1.0610454082489014,
1.105726718902588,
0.308954119682312,
-0.3169374465942383,
-0.27150362730026245,
-0.5268697738647461,
0.8203201293945312,
-0.41650545597076416,
0.3410773277282715,
... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Let me give you an example: Drapeau’s cohorts, the cohort would be a “victim” of making the bomb. Further, firebombs are inherently dangerous. There is no peaceful purpose for making a bomb. Felony offenses that involve explosives qualify as “violent crimes” for purposes of enhancing the sentences of career offenders. See 18 U.S.C. § 924(e)(2)(B)(ii) (defining a “violent felony” as: “any crime punishable by imprisonment for a term exceeding one year ... that ... involves use of explosives”). Courts have found possession of a'bomb to be a crime of violence based on the lack of a nonviolent purpose for a bomb and the fact that, by its very nature, there is a substantial risk that the bomb would be used against the person or property of another. See United States v. Newman, 125 F.3d 863 (10th Cir.1997) (unpublished) (<HOLDING>); United States v. Dodge, 846 F.Supp. 181,, Holding statements: (A) holding that possession of a pipe bomb is a crime of violence for purposes of 18 usc 3142f1 (B) holding that bank robbery by force and violence or intimidation under 18 usc 2113a is a crime of violence (C) holding that sexual assault of a child qualified as crime of violence under 18 usc 16 (D) holding for the purposes of 18 usc 924e that being a felon in possession of a firearm is not a violent felony as defined in 18 usc 924e2b (E) holding that a court must only look to the statutory definition not the underlying circumstances of the crime to determine whether a given offense is by its nature a crime of violence for purposes of 18 usc 16
The answer to this example can be: holding that bank robbery by force and violence or intimidation under 18 usc 2113a is a crime of violence
Here is why: It's a good example. Based on the given prompt, holding that possession of a pipe bomb is a crime of violence for purposes of 18 usc 3142f1 is correct.
OK. solve this:
incentive for Liberty to terminate coverage or deny the claim. Under such facts, “the potential for self-interested decision-making is evident.” Univ. Hosps. of Cleveland v. Emerson Elec. Co., 202 F.3d 839, 846 n. 4 (6th Cir.2000). “The ‘possible conflict of interest’ inherent in this situation ‘should be taken into account as a factor in determining whether [Liberty’s] decision was arbitrary and capricious.’.” Id. (quoting Davis v. Kentucky Finance Cos. Retirement Plan, 887 F.2d 689, 694 (6th Cir.1989), cert. denied, 495 U.S. 905, 110 S.Ct. 1924, 109 L.Ed.2d 288 (1990)); see also Firestone Tire and Rubber Co., 489 U.S. 101, 115, 109 S.Ct. 948, 103 L.Ed.2d 80 (1989); Darland, 317 F.3d at 527-528; Whitaker v. Hartford Life and Accident Insurance Co., 121 Fed. Appx. 86, 87 (6th Cir.2005) (<HOLDING>). While several courts have altered the
Holding statements: (A) holding that a heightened arbitrary and capricious standard of review applied to the decision to deny benefits under the erisa plan (B) holding that a court is to factor an insurers dual role into its review under the arbitrary and capricious standard though the standard remains arbitrary and capri cious (C) holding that under the arbitrary and capricious standard this court must consider whether the decision was based on a consideration of the relevant factors and whether there has been a clear error of judgment (D) holding that when applying an arbitrary and capricious standard of review the courts role is to determine whether the plan administrators decision was completely unreasonable (E) holding that the arbitrary and capricious standard performs its usual role of assuring factual support in a case involving a nhtsa decision to rescind a motor vehicle safety standard
Answer: | holding that a heightened arbitrary and capricious standard of review applied to the decision to deny benefits under the erisa plan | 8 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.6591325998306274,
0.28373584151268005,
-0.3501235246658325,
-0.06717517226934433,
0.39969563484191895,
-1.3929781913757324,
0.393613338470459,
1.1560720205307007,
-0.22483670711517334,
0.2345380187034607,
-0.36608079075813293,
0.5682070255279541,
-0.6321688890457153,
0.013472450897097588... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[18, -34, 41, -20, 72, 40]
Output: | [-34, 41, -20, 40] | 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.03096960298717022,
0.09324079751968384,
-0.6551003456115723,
-0.2939629554748535,
0.23908518254756927,
0.5219179391860962,
1.2794685363769531,
0.10868679732084274,
-0.40925803780555725,
0.33022817969322205,
-0.6644553542137146,
0.0008956319652497768,
0.07815542817115784,
-0.519713580608... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Example: In one work this author details the life of a tomb-maker who makes extra money by playing the organ at an insane asylum, while another of his novels sees Swartz give a refugee proper documentation only after he tells him his life story in the title Portuguese city. In addition to The Black Obelisk and The Night in Lisbon, he also wrote about Robert and Otto selling their auto workshop and visiting Patrice in a Swiss tuberculosis sanatorium in his novel The Three Comrades, while the turbulent life of the German surgeon Ravic is told in The Arch of Triumph. Another of his novels, The Road Back, is thought to be a sequel to his most famous book, in which the patriotic teacher Kantorek convinces Paul Bumer and his friends to join the Germany Army during World War I. For 10 points, name this German author who wrote All Quiet on the Western Front.
Example solution: Literature
Example explanation: The text is talking about an author and their works, so it belongs to theliterature category.
Problem: One aria in this opera begins with the speaker claiming that she can give a man some toast, and goes on to claim that love awaits the title character. Another aria from this opera ends if I love you, youd best beware! The peasant girl Micaela informs the male lead that his mother is dying, while Lieutenant Zuniga attempts to interrogate the female lead when she is brought in for knife-fighting with another woman. Containing the Toreador Song and Habanera, for 10 points, name this opera about Don Jose, the bullfighter Escamillo, and the titular gypsy, by Georges Bizet.
| Solution: Fine Arts | 5 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.41895294189453125,
0.9016197919845581,
0.02272627130150795,
0.31968003511428833,
0.3750111162662506,
0.036430519074201584,
0.40696561336517334,
0.4145980477333069,
0.5922026634216309,
0.15505102276802063,
-0.5040524005889893,
0.007017156109213829,
-0.8525448441505432,
-0.5352201461791992... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Problem:This information was given by the Minister of Railways and Commerce Industry, Shri Piyush Goyal in a written reply to a question in Lok Sabha today.
Solution: | এই পুনরুন্নয়ন প্রকল্পের মধ্যে বাধাহীনভাবে স্টেশন চত্ত্বর থেকে বেরোনো ও প্রবেশ, যাত্রীদের পৃথকভাবে যাতায়াতের ব্যবস্হা সহ নানারকম সুযোগ-সুবিধার প্রস্তাব রয়েছে। | 8 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
-0.7034871578216553,
-0.19555343687534332,
0.6769082546234131,
-0.12277568876743317,
0.39897507429122925,
-0.7498158812522888,
0.3272645175457001,
-0.6289351582527161,
-0.7231393456459045,
0.10376386344432831,
-0.1970222145318985,
0.1969730108976364,
0.09888523072004318,
0.6650288105010986... |
In this task, you are given music product reviews in English 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.
Q: THE WORST OF 4 OF THEIR CD'S . I bought 4 of their cd's from amazon after hearing the song "bad days" in a batman movie. This cd is the worst of the 4 i bought. Not one good song. Totally lame. I'm not even going to stick someone else with it. I'm just going to throw it out
A: NEG
****
Q: Inhale . Attempting to construct a solid soundtrack to a movie is also detrimental to the success of the movie as all contributing artists must put forth their best work. Babyface has written and or co-written this entire LP which he has also produced with a touch of emotion from a woman's perspective. As all of the work consists of heavy hitters there isn't any room for change as each individually could be singles in their own rights. More so relationship driven from heartache this has everything you may be looking for in an all woman release including pop and R&B
A: POS
****
Q: We need musiq like this now . Every track on da CD is hott. Itz a good CD to ride to at night & make love to. The girlz can sing their ass off. I really didnt know anything about these girls until 1 of my girls put me on to them & i have had their CD play-n ever since. Like i said all the trackz are hott but my personal favorites are Get up on It, Surrender,& Keep On. If you are think-n about get-n it-get it...you'll love it & if u dont something wrong wit your earz. Not like-n this is like say-n 12 Play is wack & u know everybody love 12 PLa
A: | POS
****
| 4 | NIv2 | task478_cls_english_music_classification | fs_opt | [
-0.06718158721923828,
0.46138763427734375,
-0.7348560690879822,
0.13341662287712097,
0.39877063035964966,
-0.7179609537124634,
0.9229187369346619,
0.5247950553894043,
0.09121096134185791,
0.18842342495918274,
-0.29318439960479736,
-0.07770881056785583,
-0.1191185712814331,
-0.6849108934402... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Example solution: Poradzi sobie, ale trzeba na nią uważać.
Example explanation: The Arabic sentence is correctly translated into Polish, because the meaning is preserved.
Problem: تحدثنا وسمعنا بعضا عن التصميم هذا الاسبوع.
| Solution: W tym tygodniu mówiliśmy i słuchaliśmy o projektowaniu. | 5 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.046933863312006,
1.4181740283966064,
-0.02186742052435875,
-0.6149367094039917,
-0.5085463523864746,
-0.838557779788971,
1.1085700988769531,
-0.5024716854095459,
0.3853785991668701,
0.3853428363800049,
-0.8756543397903442,
0.5781035423278809,
-0.7329727411270142,
0.5614770650863647,
0... |
Teacher: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Paragraph: Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate changes.
Question: John's town used to have lots of water, back when there were only a few hundred people. However, now that the town holds several thousand people, the water availability is
Choices: A)scarce
B)plentiful
Solution: scarce
Reason: Based on the information given in the paragraph, population growth will make water more scarce, so that is the correct answer.
Now, solve this instance: Paragraph: Countries with more industry produce more hazardous wastes than those with little industry.
Question: Theresa lives in a first world country. Eric lives in a third world country. Whose country likely produces more hazardous waste?
Choices: A)Eric's
B)Theresa's
Student: | Theresa's | 2 | NIv2 | task1731_quartz_question_answering | fs_opt | [
-0.03433157876133919,
0.6923844218254089,
0.24440738558769226,
-0.6910154819488525,
-0.03659592941403389,
-0.9074782729148865,
0.7314420342445374,
0.8249118328094482,
-0.5572396516799927,
0.4216146469116211,
-0.14527985453605652,
0.10085286945104599,
-0.6349679231643677,
-0.224167943000793... |
Q: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
તેમણે શપથગ્રહણ સમારંભમાં રાષ્ટ્રપતિ જીનબેકોવની હાજરી બદલ આભાર માન્યો હતો, કિર્ગિસ્તાનની મુલાકાત લેવા માટે આમંત્રણ આપવા માટે તેમને ધન્યવાદ આપતા જણાવ્યું હતું કે, તેઓ કિર્ગિસ્તાનની મુલાકાત લેવા આતુર છે.
A: | प्रधानमंत्री ने शपथ ग्रहण समारोह में शामिल होने के लिए राष्ट्रपति जीनबेकोव को गर्मजोशी से धन्यवाद दिया और किर्गिस्तान आने के निमंत्रण के लिए उनका आभार व्यक्त किया। प्रधानमंत्री ने कहा कि वह उत्सुकता से इस यात्रा की प्रतीक्षा कर रहे हैं। | 7 | NIv2 | task1033_pib_translation_gujarati_hindi | zs_opt | [
-0.16773974895477295,
0.2848919630050659,
0.12602901458740234,
0.10957787930965424,
0.0782013088464737,
-1.1412510871887207,
0.9064123630523682,
-0.7717891335487366,
0.025151783600449562,
0.18723517656326294,
-0.06903710961341858,
-0.008373871445655823,
-0.6345269083976746,
0.7966017723083... |
Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: A guy is playing the drums. The guy
Output: | starts playing accordion in front of a table. | 3 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.5390887260437012,
1.1207036972045898,
-0.5717860460281372,
-0.12901824712753296,
-0.3544836938381195,
-0.22725491225719452,
-0.29582643508911133,
0.5864509344100952,
0.15880835056304932,
0.31030142307281494,
-0.6169373393058777,
0.3452502489089966,
-0.4391203820705414,
-0.964271187782287... |
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 Input:
charlie fiddich ? - well , who was it , then ?
Ex Output:
charlie fiddich ?
Ex Input:
i could n't resist cutting these for your sister after seeing her show yesterday .
Ex Output:
i just could n't resist and i cut these flowers for your sister ... ... after i saw her movie last night .
Ex Input:
we can not bring our people , or the people of the world , to believe again in devils or in imps , or in angels , either .
Ex Output:
| we ca n't force people at us , or even all over the world , to believe in the devil , the elves , or the angels .
| 1 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.1456778347492218,
0.6877439022064209,
-0.07166029512882233,
-0.030437588691711426,
0.1733258068561554,
-0.863936185836792,
0.9579365253448486,
0.47239387035369873,
0.40544456243515015,
0.04263080283999443,
-1.116254210472107,
-0.5017218589782715,
-0.5283644795417786,
0.10385511815547943... |
Part 1. Definition
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets.
Part 2. Example
[-7, -1, 8, 7, -8]
Answer: [21, 3, 16, 14, 24]
Explanation: Every negative number is multiplied by -3 and every positive number is multiplied by 2. So this is a good example.
Part 3. Exercise
[11, 23, -13, -92, 88, 93, 74, 82]
Answer: | [22, 46, 39, 276, 176, 186, 148, 164] | 7 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.4691847562789917,
0.24409359693527222,
-0.2898021340370178,
-0.09086303412914276,
0.46337243914604187,
-0.30435100197792053,
1.2858648300170898,
0.2817741930484772,
-0.11736273765563965,
-0.01497320830821991,
-0.5126047134399414,
0.005914719775319099,
-0.6708164215087891,
-0.28911599516... |
TASK DEFINITION: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
PROBLEM: Faults to guard against.
SOLUTION: Ukunqanda impazamo/ingxaki.
PROBLEM: However, a permanent repair is essentially a task for a shipwright.
SOLUTION: Ulungiso oluzinzileyo kuyimfuneko ukuba ibe ngumsebenzi womkhandi wenqanawa.
PROBLEM: Other compartments can be flooded through the firemain, which is a system of pipes running throughout a ship and fed with salt water under pressure by steam- or electrically-driven pumps .
SOLUTION: | Ezinye iindawo zokuhlala ezinokuthi ziphuphumale ngenxa yendawo yomlilo, eyinkqubo yemibhobho ehamba kwinqanawa yonke eyondliwa ngamanzi atyuwa phantsi koxinzelelo lomphunga okanye ngeempompo ezilawulwa ngombane.
| 8 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.15324732661247253,
0.40225914120674133,
0.11125630140304565,
-1.1042847633361816,
-0.025269867852330208,
-0.5890858173370361,
1.3743479251861572,
0.45161527395248413,
-0.023081809282302856,
0.041091859340667725,
-0.037400953471660614,
0.12088330090045929,
-0.8093198537826538,
0.367877423... |
Detailed Instructions: 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.
Problem:Sentence1: Algae have varied life cycles.
Sentence2: algae are capable of reproduction.
Solution: | Algae | 8 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.04785313084721565,
1.0277063846588135,
0.09886133670806885,
-0.4518907964229584,
0.1141509860754013,
-1.0591185092926025,
0.5578688383102417,
0.3544018268585205,
-0.6333112120628357,
-0.5324533581733704,
-0.27490004897117615,
-0.46636781096458435,
-1.0922520160675049,
0.6111631393432617,... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Input: Noi siamo, dovremmo essere, moralmente impegnati ad essere i guaritori del mondo.
Output: | وهكذا يجب ان نكون ملتزمين أخلاقيا لن نكون مرشد العالم وحاميه | 2 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.7245427370071411,
0.593066930770874,
0.2709789574146271,
-0.8897514343261719,
-0.48102155327796936,
-0.830160915851593,
0.18107837438583374,
-0.18661287426948547,
0.5354955196380615,
0.6064367294311523,
-0.8827345371246338,
0.21557864546775818,
-0.4895327389240265,
0.2096191644668579,
... |
Teacher:In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Teacher: Now, understand the problem? Solve this instance: [-37, 60, -11, 84, -10, 28]
Student: | [60, 84, -10, 28] | 6 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.8304214477539062,
0.594139814376831,
0.04648818075656891,
-0.8697534799575806,
0.16006755828857422,
-0.5947529077529907,
1.072812795639038,
0.5722019076347351,
0.2578800618648529,
0.2356446087360382,
-0.5087175965309143,
-0.3782784938812256,
-0.2698410451412201,
-0.5611460208892822,
0... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
[EX Q]: The conversation with Adam was grim.
[EX A]: male
[EX Q]: I made my wife feel ecstatic.
[EX A]: female
[EX Q]: The conversation with Latisha was gloomy.
[EX A]: | female
| 6 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.7083352208137512,
0.2498003989458084,
-0.4002801775932312,
-1.6113027334213257,
-0.5681524872779846,
-0.309807687997818,
0.6007816195487976,
0.029965171590447426,
0.8384122848510742,
0.21417295932769775,
-0.7504787445068359,
0.17146866023540497,
-0.9874017834663391,
-0.01925101503729820... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. 'i' and 'j' will be non-negative, and will always have a value less than the length of A. 'i' will always be less than 'j'. Perform the operations in order, i.e., do not reverse first and then concatenate.
3, 12, ['t', '9221', 'T', 'd', '5847', 'C', 'q', 'H', 'R', '7913', '1193', '2941', 'V', 'x', '3931', 'I', 'X']
Output: | 149239113197RHqC7485dT | 1 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
0.049244269728660583,
-0.1011873334646225,
-0.6416845917701721,
0.032872140407562256,
0.015547124668955803,
0.20266318321228027,
0.34541159868240356,
0.2537395656108856,
-0.5918154716491699,
-0.11987283080816269,
-0.9734160304069519,
-0.4296177625656128,
0.27151596546173096,
-0.39187881350... |
Teacher: 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 preceding the last i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? If you are still confused, see the following example:
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: a, 34, f, 931, 7
Reason: Here, all the elements except the last 3 from the list are 'a', '34', 'f', '931', and '7'.
Now, solve this instance: 2, ['H', 'O', '4557', 'B', '4821', '2009', '3339', '1679', 'o', 'n', '1699', 'V', '5705', 'v', 'w', '2953', 'q', '7063', 'a', 'T', 'Q', '3605', 'p', '4099', 'J']
Student: | H, O, 4557, B, 4821, 2009, 3339, 1679, o, n, 1699, V, 5705, v, w, 2953, q, 7063, a, T, Q, 3605, p | 2 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.15733662247657776,
-0.020222727209329605,
-0.33801698684692383,
-0.54396653175354,
-0.21183979511260986,
-0.48311132192611694,
0.37258008122444153,
0.5141593813896179,
-0.5653666853904724,
-0.1173262670636177,
-0.7507954835891724,
-0.0622679740190506,
0.3477487862110138,
-0.3198223114013... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list.
[153, 1702, 3019, 1371]
[128, 2048, 2048, 1024]
[105, 166, 584, 2461, 12, 86, 2, 3, 1368, 1864, 4239, 8, 77, 4, 143, 1244]
[128, 128, 512, 2048, 16, 64, 2, 4, 1024, 2048, 4096, 8, 64, 4, 128, 1024]
[140, 808, 3950]
| [128, 1024, 4096]
| 0 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.055722370743751526,
0.7332229614257812,
-0.5752408504486084,
0.10703914612531662,
-0.1281716376543045,
-0.1974881887435913,
0.6541730761528015,
0.6375510096549988,
-0.6241647005081177,
0.0711745172739029,
-0.7786206007003784,
0.33643025159835815,
-0.07592498511075974,
-0.427009165287017... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Q: What is the part-of-speech tag of the word "2003" in the following question: How many career century breaks have been accumulated by the person who became the top ranked snooker player in 2003 ?
A: | WP | 9 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.41772380471229553,
0.0021736063063144684,
-0.7666079998016357,
0.49039825797080994,
-0.010895028710365295,
-0.6144593954086304,
0.9082660675048828,
0.30025166273117065,
-0.1472143679857254,
-0.2405429482460022,
-0.012353627011179924,
0.9161374568939209,
0.03584381192922592,
-0.3002316951... |
Teacher: Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปารีส ประเทศฝรั่งเศส
Reason: This is a correct and accurate translation from Japanese to Thai because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Now, solve this instance: 分離主義者の反英国感情は思い通りに人々をいらいらさせ、怒らせているが、英国の人々はスコットランド人をパートナーであり、同僚であり、友人であり、隣人であると思っている。
Student: | การต่อต้านทัศนคติอังกฤษจากผู้แบ่งแยกดินแดนได้สร้างความโกรธเคืองและเกรี้ยวกราด ซึ่งเป็นสิ่งที่พวกเขาตั้งใจให้เกิดขึ้น แต่ประชาชนทั่วสหราชอาณาจักร รู้และให้ความสำคัญกับชาวสก็อตแลนด์ในฐานะคู่ชีวิต เพื่อนร่วมงาน เพื่อน และเพื่อนบ้าน | 2 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
-0.06242685765028,
0.41813790798187256,
-0.7757383584976196,
-0.06843024492263794,
-0.14035435020923615,
-0.863097608089447,
0.21319076418876648,
0.4995618164539337,
0.09540685266256332,
-0.26079246401786804,
-0.4539301097393036,
1.0277849435806274,
-0.2249830663204193,
0.6360737085342407,... |
Instructions: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: علی انصاریان بازیکن فوتبال، مجری تلویزیون و بازیگر ایرانی بود. او کار خود را در سال ۱۳۷۵ و با بازی در باشگاه فوتبال فجر شهید سپاسی شیراز آغاز و در پرسپولیس به اوج رسید و سرانجام در سال ۱۳۹۰ از حرفهٔ فوتبال خداحافظی کرد ولی برای دور نشدن از این ورزش مدرسه فوتبالی برای بچهها تأسیس کرد. علی انصاریان پس از فوتبال، در حرفه سرگرمی و تلویزیون فعال شد. او در بیش از ده فیلم و مجموعه تلویزیونی بازی کرد و چند برنامه تلویزیونی اینترنتی را اجرا کرد. علی انصاریان همچنین در خرداد ۱۳۹۰ ترانهای به نام «شدید» را به بازار موسیقی عرضه کرد. اما پس از آن خوانندگی را ادامه نداد. انصاریان در ۱۵ بهمن ۱۳۹۹ دو هفته پس از بستری شدن در بیمارستان فرهیختگان تهران و بر اثر ابتلا به بیماری کرونا درگذشت. حواشی اصلی برنامه زابیواکا مربوط به علی انصاریان است که در بخشی از برنامه به نام «سخن بزرگان» با خواندن اشعاری از ترانههای خوانندگان قبل از انقلاب مانند شهرام شبپره، حسن شماعیزاده، مهستی و عارف، همواره حواشی زیادی ایجاد کردهاست که گفته میشود این عملکرد او در ده روز اجرا باعث دریافت ۱۴۰ تذکر از سمت سازمان صدا و سیما شدهاست.
Question: انصاریان چه جوری سعی کرد خودش را در فضای فوتبال نگه دارد؟
Output: | مدرسه فوتبالی برای بچهها تأسیس کرد | 3 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
-0.24385827779769897,
0.9329569935798645,
-0.2681683301925659,
-0.2998778223991394,
-0.9790436029434204,
0.0901256874203682,
1.2813538312911987,
0.1450134962797165,
-0.15722398459911346,
-0.5768250823020935,
-0.3459654748439789,
0.506310224533081,
-0.869794487953186,
0.10037463158369064,
... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Head: PersonX adapts ___ to conditions<sep>Tail: Get things done more effectively
Solution: No
Reason: As a result of the Head, The others won't feel things are done more effectively.
Now, solve this instance: Head: PersonX acts weird<sep>Tail: creepy
Student: | No | 2 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.02465616725385189,
-0.04213475063443184,
0.3560975193977356,
-0.21852263808250427,
-0.21486805379390717,
-1.1077797412872314,
1.054896354675293,
0.8232447504997253,
-0.3722997307777405,
-0.2803008258342743,
-0.24263302981853485,
-0.04665835201740265,
-0.9990350604057312,
0.06563352793455... |
TASK DEFINITION: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
PROBLEM: Maria leased the woman who was wearing the hat a space
SOLUTION: Maria leased a space to the woman who was wearing the hat
PROBLEM: Alice revealed a man a winner
SOLUTION: Alice revealed a winner to a man
PROBLEM: Linda tugged a man something
SOLUTION: | Linda tugged something to a man
| 8 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.5586757659912109,
0.8198916912078857,
0.14182505011558533,
-0.2239605039358139,
-0.05103764683008194,
0.21128425002098083,
0.3220274746417999,
0.050934143364429474,
0.43018800020217896,
-0.6439270973205566,
-0.8415932655334473,
-0.11122630536556244,
-0.4981878101825714,
-0.0878907889127... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Q: We see the cabinet faces put back on the cabinets. We
A: | see slowly moving from her bedroom to like a vacuum. | 4 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.08624374866485596,
1.7899184226989746,
-0.05706916004419327,
0.07804448902606964,
-0.2386012077331543,
0.0812046080827713,
-0.16535767912864685,
0.9276174306869507,
0.44404011964797974,
0.2312500774860382,
0.2344011664390564,
0.07896514236927032,
-0.23826804757118225,
0.23563939332962036... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: Sentence: The farmer 's sanity was questioned by the counselor and was forced to take her test.
Profession: counselor
A: | Identifiable | 4 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.2549494504928589,
0.5058557391166687,
0.0705348551273346,
-0.6347063779830933,
-0.043052174150943756,
-0.014185559004545212,
-0.23440948128700256,
1.014186143875122,
0.20473572611808777,
0.39816272258758545,
-1.0804623365402222,
-0.2834184765815735,
-0.06423600018024445,
-0.125463575124... |
Definition: Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Input: concept: Mexico question: what is the official language in mexico?
Output: | ['Spanish Language'] | 2 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.32971182465553284,
-0.05385241657495499,
-0.007363490294665098,
-0.16047509014606476,
-0.773729681968689,
0.06023174151778221,
0.727786123752594,
0.1094321757555008,
0.4269704818725586,
-0.278289258480072,
-0.9372488856315613,
-0.28676316142082214,
-0.4380309283733368,
0.305132508277893... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. 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 question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Example input: Context word: upset.
Example output: PersonX yelled at PersonY because _ was so upset about the news.
Example explanation: As expected, PersonX and PersonY are mentioned only once in the question. It contains only one blank. Also, the expected answer to this question is PersonX. So, it's a valid question.
Q: Context Word: working out.
A: | PersonX has stronger muscles than PersonY, because _ loves working out at the gym every day. | 3 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
1.0969288349151611,
0.8982675671577454,
-0.845563530921936,
0.5360029935836792,
0.15150617063045502,
-0.1698738932609558,
0.0856873095035553,
1.080439567565918,
0.12411224842071533,
-1.0060298442840576,
-0.49808329343795776,
-0.47489482164382935,
-0.5005854368209839,
-0.243916854262352,
... |
Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
البنك هو مكان حيث يتم تخزين المال. | « مصرف » منصوب باذكر مقدرا « هو مكان يُخزن فيه الأمان ». | 0 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.03626672923564911,
0.37537646293640137,
-0.1799066811800003,
-0.49317219853401184,
-0.646733283996582,
0.042265672236680984,
0.8561588525772095,
0.4533821642398834,
0.49285978078842163,
-0.5235921144485474,
-0.9758040904998779,
0.39498546719551086,
-1.000211477279663,
0.5063446760177612... |
Teacher:Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Teacher: Now, understand the problem? Solve this instance: They are drumming in sync.
Student: | They march in place on the field. | 6 | NIv2 | task455_swag_context_generation | zs_opt | [
0.43125948309898376,
0.9124120473861694,
-0.6836207509040833,
-0.43832868337631226,
-0.44526052474975586,
-0.6739619970321655,
0.18452239036560059,
0.6909565329551697,
0.24213799834251404,
0.1385030895471573,
0.2518771290779114,
0.18178912997245789,
-0.5534884929656982,
-0.4870765507221222... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affordance of the given action C, following the "A : B" relation. Your answer should be a single object without further explanation.
break : promise. cure : ?
disease
give : gift. shoot : ?
gun
stalk : prey. hunt : ?
| boar
| 0 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
0.21425916254520416,
1.0870070457458496,
-0.2432507872581482,
0.34090662002563477,
-0.33471399545669556,
-0.33828186988830566,
1.1289963722229004,
0.9039077162742615,
0.05930086597800255,
-0.5407376885414124,
-0.702233076095581,
0.405893474817276,
-0.32705003023147583,
-0.05584213882684707... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Example: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Output: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }
Here, the generated command using logical operators correctly selects third maximum from given table rows which is mentioned in natural language interpretation.
New input case for you: the 2nd maximum attendance record of all rows is 55400 .
Output: | eq { nth_max { all_rows ; attendance ; 2 } ; 55400 } | 1 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.41374966502189636,
-0.04024913161993027,
-0.33760759234428406,
0.7971765995025635,
0.4026779532432556,
-0.42158448696136475,
0.26320335268974304,
0.4443194270133972,
0.05444346368312836,
-0.21040606498718262,
-0.42688435316085815,
0.30796948075294495,
-0.1363382190465927,
0.4183751940727... |
Q: A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
ചര്ച്ചകള്ക്ക് രൂപം നല്കുന്നതിനും ഈ സംഘടനകള്ക്ക് നേതൃത്വം നല്കുന്നതിനും ഇന്ത്യ ഒരു സുപ്രധാന പങ്കാണ് വഹിക്കുന്നത്.
A: | भारत दिशा देण्यात नेतृत्व करण्यात भूमिका पार पाडत आहे. भारताचा आवाज बुलंद झाला आहे. | 7 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
1.061492919921875,
0.5988661050796509,
0.16055963933467865,
-0.025956450030207634,
-0.11232949793338776,
-1.4511315822601318,
0.2821064591407776,
0.04381752014160156,
-0.6079450845718384,
-0.13125035166740417,
-0.9713340997695923,
-0.4680682420730591,
-0.7782173156738281,
0.348285436630249... |
Teacher:This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Teacher: Now, understand the problem? Solve this instance: Take creating value as the core - VALUE
Student: | English | 6 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
0.0987197756767273,
0.5118774771690369,
0.8578912019729614,
0.26103731989860535,
-0.1884894073009491,
-0.8069525957107544,
0.5247527360916138,
0.9712668657302856,
-0.243538498878479,
-0.6484376788139343,
0.5006067752838135,
-0.5128929615020752,
-0.6323010921478271,
-0.46475183963775635,
... |
Definition: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
Input: i feel so cranky and disconnected
Output: | anger | 2 | NIv2 | task875_emotion_classification | zs_opt | [
-0.27458706498146057,
0.4291805624961853,
0.9932327270507812,
-0.6236321926116943,
-0.15050658583641052,
-0.5139795541763306,
0.5455487370491028,
0.07931756973266602,
0.08562321215867996,
-0.45297035574913025,
-0.12293235957622528,
-0.1623494029045105,
-0.9783979654312134,
-0.4427486062049... |
You will be given a definition of a task first, then some input of the task.
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
But reintegration in the environment is important.
Output: | Ali reintegracija u okoliš je važna. | 1 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.3756498694419861,
0.7744598388671875,
-0.33872050046920776,
0.3399600088596344,
0.1533946692943573,
-0.6196755766868591,
0.4839704632759094,
-0.09424705058336258,
0.012018004432320595,
-0.4491594731807709,
-0.08756648749113083,
0.04186510294675827,
-0.29413121938705444,
0.14656171202659... |
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