inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Ex Input:
DXOUwOTGO
Ex Output:
DXwTG
Ex Input:
CPzilHAxaZW
Ex Output:
CPzlHxZW
Ex Input:
OUEf
Ex Output:
| f
| 1 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.38405609130859375,
0.8516846895217896,
-0.5867763757705688,
-0.617216169834137,
0.090814970433712,
-0.9337809085845947,
0.4634955823421478,
0.22993877530097961,
0.267820805311203,
-0.3037385046482086,
-0.016004282981157303,
-0.2741621732711792,
-0.001515528536401689,
-0.7979669570922852,... |
Teacher: In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Състав на Парламента: вж. протоколи
Solution: Membership of Parliament: see Minutes
Reason: Bulgarian sentence is converted into english sentence.
Now, solve this instance: Индекс за развитие на пазарите на дребно (
Student: | Consumer Markets Scoreboard ( | 2 | NIv2 | task271_europarl_translation | fs_opt | [
-0.2836598753929138,
0.3856790065765381,
0.16961902379989624,
0.017735227942466736,
0.1365755796432495,
-0.38705384731292725,
0.9929478168487549,
0.1553243100643158,
0.7182900905609131,
0.04708589240908623,
-0.43221747875213623,
0.8512061834335327,
-0.5473957061767578,
-0.0418584942817688,... |
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.
Example Input: Context_1 : Tim Whelan (November 2, 1893 – August 12, 1957) was an American film director, writer, producer and actor best remembered for "The Thief of Bagdad" (1940). At the time of his death, Whelan he was survived by widow, former silent film actress Miriam Seegar, and had two sons, Michael and Tim Jr. The widow Seegar went on to live another 53 years, dying January 2, 2011 at age 103. Context_2 : Marie Epstein (born Marie-Antonine Epstein; 14 August 1899, Warsaw - 24 April 1995, Paris) was an actress, scenarist, film director, and film preservationist. Her career is distinguished by three important collaborations. Throughout the 1920s, she acted in and wrote scenarios for films directed by her brother, Jean Epstein. From the 1920s through the early 1950s, she collaborated with the director Jean Benoît-Lévy on sixteen films, serving variously as a writer, assistant director, and co-director. From the early 1950s to her retirement in 1977, Epstein served as a film preservationist at the Cinémathèque française. Context_3 : The Beauty from Nivernais (French: "La belle Nivernaise" ) is a 1924 French silent drama film directed by Jean Epstein. Context_4 : Gloria Jean Epstein is a supernumerary judge of the Court of Appeal for Ontario. She had also previously been appointed to the Court of Ontario. On January 1, 2015, Epstein retired to become a supernumerary judge, and was replaced as a full time judge by Bradley Miller. Context_5 : The Fall of the House of Usher (French: La Chute de la maison Usher ) is a 1928 French horror film directed by Jean Epstein, one of multiple films based on the Gothic short story "The Fall of the House of Usher" by Edgar Allan Poe. Future director Luis Buñuel co-wrote the screenplay with Epstein, his second film credit, having previously worked as assistant director on Epstein's film "Mauprat" from 1926. Context_6 : René Ferté (1903–1958) was a Swiss actor who worked principally in the French cinema, from 1923 onwards. He is mostly known for performances in a series of silent films directed by Jean Epstein. His roles in sound films were generally less notable, though he appeared in Fritz Lang's "Le Testament du docteur Mabuse" (French version), and he took the title role in the 1934 sound remake of "Judex". After the outbreak of the Second World War he ceased working in films. Context_7 : La Châtelaine du Liban is a 1934 French thriller film directed by Jean Epstein, starring Spinelly and Jean Murat. The narrative is set in Lebanon and follows a web of espionage with clashes between the French and British secret services, with a beautiful young woman at the centre. The film is based on the 1924 novel "The Lady of Lebanon" by Pierre Benoit. Filming took place between July and December 1933 in Lebanon, France, Egypt, Palestine and Syria. It premiered on 2 February 1934. Context_8 : Gina Manès (7 April 1893 — 6 September 1989) was a French film actress and a major star of French silent cinema. After an early appearance in a film of Louis Feuillade, she had significant roles in films of Jean Epstein, including "Cœur fidèle", and of Germaine Dulac. In Abel Gance's "Napoléon", she took the part of Joséphine de Beauharnais, and then played the title role in Jacques Feyder's "Thérèse Raquin" (now lost). She made the transition to sound films but during the 1930s her roles diminished in importance, and periods of residence in Morocco took her further from the public eye. She continued to take small roles in films, and also worked in the circus and in the theatre. In total Manès appeared in over 90 films between 1916 and 1966. Context_9 : Jean Epstein (] ; March 25, 1897 – April 2, 1953) was a French filmmaker, film theorist, literary critic, and novelist. Although he is remembered today primarily for his adaptation of Edgar Allan Poe's "The Fall of the House of Usher", Epstein directed three dozen films and was an influential critic of literature and film from the early 1920s through the late 1940s. He is often associated with French Impressionist Cinema and the concept of "photogénie". Context_10 : Finis Terræ is a 1929 French silent drama film written and directed by Jean Epstein. The story centres on a small group of men harvesting seaweed off the coast of Brittany, and the problems which arise when one of them gets an infected thumb. The film's title is the old Latin name of the region Finistère, where the story is set, and means "End of the Earth". The film is shot in a documentary-like style, with local non-actors in all roles, and frequent handheld camerawork. Also, Epstein often inserts slow motion footage. fact_1 : Jean Epstein (] ; March 25, 1897 – April 2, 1953) was a French filmmaker, film theorist, literary critic, and novelist. fact_2 : Tim Whelan (November 2, 1893 – August 12, 1957) was an American film director, writer, producer and actor best remembered for "The Thief of Bagdad" (1940). Question: Jean Epstein and Tim Whelan, are French?
Example Output: no
Example Input: Context_1 : The Craft is a 1996 American supernatural horror film directed by Andrew Fleming and starring Robin Tunney, Fairuza Balk, Neve Campbell, and Rachel True. The film's plot centers on a group of four outcast teenage girls who pursue witchcraft for their own gain, but soon encounter negative repercussions from their actions. The film was released on May 3, 1996, by Columbia Pictures and it was a surprise hit, earning $55 million against a budget of $15 million. In the years since its release, the film has accrued a significant cult following. Context_2 : Neve Adrianne Campbell ( ; born October 3, 1973) is a Canadian actress. She is best known for her role as Sidney Prescott in the horror film series "Scream". She got her start appearing in the Canadian television series "Catwalk", before she played Julia Salinger in the American drama series "Party of Five". She has starred in films such as "The Craft" (1996), "Wild Things" (1998), "Panic" (2000), and "The Company" (2003). Campbell has also made guest appearances on several television series, such as "Medium", "Grey's Anatomy" and "Mad Men", as well as a starring role in the fourth and fifth seasons of the critically acclaimed Netflix drama series "House of Cards". Context_3 : Sidney Prescott is a fictional character and the primary protagonist of the "Scream" series. The character was created by Kevin Williamson and is portrayed by Canadian actress Neve Campbell. She first appeared in "Scream" (1996) followed by three sequels: "Scream 2" (1997), "Scream 3" (2000) and "Scream 4" (2011). The character appears in the "Scream" films as the target of a series of killers who adopt the Ghostface persona, a ghost mask and black cloak, to pursue her. In each film, the Ghostface killers often murder people close to Sidney and taunt her by phone with threats and intimate knowledge of her life or the murder of her mother, leading to a final confrontation where the true killer is revealed. Context_4 : Closing the Ring is a 2007 film directed by Richard Attenborough and starring Shirley MacLaine, Christopher Plummer, Mischa Barton, Stephen Amell, Neve Campbell, Pete Postlethwaite, and Brenda Fricker. It was the final film directed by then octogenarian Attenborough, who died seven years later. Context_5 : I Really Hate My Job is a 2007 British comedy film directed by Oliver Parker and starring Neve Campbell, Shirley Henderson, Alexandra Maria Lara, Anna Maxwell Martin, Oana Pellea, and Danny Huston as himself. It is an independent film distributed by TriStar Pictures and produced by 3DD Productions. Context_6 : When Will I Be Loved is a 2004 American drama film written and directed by James Toback and starring Neve Campbell. The film had a 35-page script and was mostly improvised throughout its 12-day shoot. Context_7 : Last Call is a 2002 drama film written and directed by Henry Bromell about F. Scott Fitzgerald, based on the book by Frances Kroll Ring. The film stars Jeremy Irons as Fitzgerald, Sissy Spacek as Zelda Fitzgerald, and Neve Campbell as Frances Kroll. Context_8 : The Company is a 2003 drama film directed by Robert Altman and starring Neve Campbell, who co-wrote and co-produced the film. The film also stars Malcolm McDowell and James Franco and is set in the company of the Joffrey Ballet. Context_9 : Scream is an American horror franchise created by Kevin Williamson and Wes Craven. Starring Neve Campbell, Courteney Cox, and David Arquette, the film series grossed over $604 million in worldwide box-office receipts and consists of four motion pictures directed by Craven. The first series entry, "Scream", was released on December 20, 1996 and is currently the highest-grossing slasher film in the United States. The second entry "Scream 2" was released on December 12, 1997 followed by a third installment, "Scream 3", released February 4, 2000. Eleven years after the previous film, "Scream 4" was released on April 15, 2011. The films follow Sidney Prescott, and her war against a succession of murderers who adopt the guise of Ghostface to stalk and torment their victims. Sidney receives support in the films from town deputy Dewey Riley, reporter Gale Weathers, and film-geek Randy Meeks. A television spin-off of the film series was launched by MTV on June 30, 2015. The TV series follows different characters and new storylines which are not connected to the film series. Context_10 : 54 is a 1998 American drama film written and directed by Mark Christopher, about Studio 54, a world-famous New York City discoteque, the main setting of the film. It stars Ryan Phillippe, Salma Hayek, Neve Campbell, and Mike Myers as Steve Rubell, the club's co-founder. Prior to its release in 1998, the film was extensively reshot and recut, and then released to poor critical acclaim but respectable box office. In 2008, a bootleg version of the director's cut was screened at Outfest, leading to interest for its release. In 2015, Christopher and Miramax premiered a new edit of the film at the Berlin International Film Festival, with 45 minutes of original material restored and 30 minutes of studio re-shoots removed. fact_1 : She has starred in films such as "The Craft" (1996), "Wild Things" (1998), "Panic" (2000), and "The Company" (2003). fact_2 : The Company is a 2003 drama film directed by Robert Altman and starring Neve Campbell, who co-wrote and co-produced the film. Question: Neve Adrianne Campbell (born October 3, 1973) is a Canadian actress, she has starred in films such as which 2003 drama film directed by Robert Altman and starring Neve Campbell, who co-wrote and co-produced the film?
Example Output: The Company
Example Input: Context_1 : Saint Claudia is a saint and a mother of later Pope Linus. Her father, British King Caratacus led the British resistance, and later got chained after being defeated by Aulus Plautius. After emperor Claudius set him free, she took a name of "Claudia" and was baptized as such in Rome. She was mentioned in a second letter to Timothy which he received from Saint Paul. Second Timothy is generally viewed as Paul's last letter, and Claudia's name in 2 Timothy 4:21 appears as the last name of the letter and, hence, the last person Paul names in writing. It is also believed to be that Claudia was actually a daughter of Claudius Cogidubnus who was Claudius's ally and later became an emperor. He mentions that her real name was Claudia Rufina and she was married to Aulus Pudens, a friend of Martials. Her feast day is on August 7. Context_2 : Criobolium is the ritual sacrifice of a ram in the cult of Attis and the Great Mother of the Gods. It seems to have been a special ceremony instituted after the rise, and on the analogy of the taurobolium, which was performed in honor of the Great Mother, for the purpose of giving fuller recognition to Attis in the duality which he formed with the Mother. There is no evidence of its existence either in Asia or in Italy before the taurobolium came into prominence (after AD 134). When the criobolium was performed in conjunction with the taurobolium, the altar was almost invariably inscribed to both the Mother and Attis, while the inscription was to the Mother alone when the taurobolium only was performed. The celebration of the criobolium was widespread, and its importance such that it was sometimes performed in place of the taurobolium (Corp. Inscr. Lat. vi. 505, 506). The details and effect of the ceremony were no doubt similar to those of the taurobolium. Context_3 : Tracy McConnell, better known as "The Mother", is the title character from the CBS television sitcom "How I Met Your Mother". The show, narrated by Future Ted, tells the story of how Ted Mosby met The Mother. Tracy McConnell appears in 8 episodes from "Lucky Penny" to "The Time Travelers" as an unseen character; she was first seen fully in "Something New" and was promoted to a main character in season 9. The Mother is played by Cristin Milioti. Context_4 : Neil Patrick Harris (born June 15, 1973) is an American actor, comedian, magician, and singer, known primarily for his comedy roles on television and his dramatic and musical stage roles. On television, he is known for playing the title character on "Doogie Howser, M.D." (1989–1993), Barney Stinson on "How I Met Your Mother" (2005–2014, for which he was nominated for four Emmy Awards), and Count Olaf on "A Series of Unfortunate Events" (2017 onward). Context_5 : "You Never Met a Motherfucker Quite Like Me" (heard on the radio as "...Mother, Mother Quite Like Me", renamed "You Never Met a White Boy Quite Like Me" for the clean album version) was the third single off Kid Rock's third album "Cocky". The song peaked at #32 on the mainstream rock charts in 2002. The middle of the song pays homage to Lynyrd Skynyrd's classic "Free Bird". The 'Live' Trucker version contains the 1st verse of the song before he returns to finish "You Never Met..." Context_6 : Peter Timothy (1724–1782), originally named Peter Timothee, was an 18th-century Dutch-American printer and politician. He was probably born in the Netherlands in 1724 to a French Huguenot father, Lewis Timothy (originally Louis Timothee), and a Dutch mother, Elizabeth (originally Elisabet Timothee). The older Timothee was a printer, librarian, and linguist fluent in Dutch, German, French, and English. His mother, Elizabeth Timothy, was adept at business and accounting which was to become very important for her son Peter. The family first immigrated to Colonial Pennsylvania in 1731 to work for Benjamin Franklin in Philadelphia. Context_7 : Benedict Timothy Carlton Cumberbatch CBE (born 19 July 1976) is an English actor who has performed in film, television, theatre and radio. He is the son of actors Timothy Carlton and Wanda Ventham. Cumberbatch graduated from the University of Manchester and continued his training at the London Academy of Music and Dramatic Art, obtaining a Master of Arts in Classical Acting. He first performed at the Open Air Theatre, Regent's Park in Shakespearean productions and made his West End debut portraying George Tesman in Richard Eyre's revival of "Hedda Gabler" in 2005. Since then he has starred in the Royal National Theatre productions "After the Dance" (2010) and "Frankenstein" (2011). In 2015, he played William Shakespeare's "Hamlet" at the Barbican Theatre. Context_8 : Timothy Guy Kent is an artist represented by SLAG Gallery in New York. Born in Vancouver, Canada of a Turkish father and an English mother, Timothy was originally Timothy Guy Ceyişakar before his father changed the family name to assimilate more easily. Timothy arrived in New York City via Florida but still visits his Turkish and English family, drawing on multiple traditions, cultures, and histories for his works. Context_9 : Timothy Nolen (born July 9, 1941) is an American actor and baritone who has had an active career in operas, musicals, concerts, plays, and on television for over four decades. He notably portrayed the title role in the first operatic presentation of Stephen Sondheim's "" at the Houston Grand Opera in 1984. He later reprised that role at Chicago's Marriott Theatre in 1993, receiving a Joseph Jefferson Award nomination for his portrayal. He then performed the role of Judge Turpin in a concert version of "Sweeney Todd" broadcast on PBS's "Great Performances" in 2000 with the New York Philharmonic, George Hearn, Patti LuPone, and Neil Patrick Harris. He has since played Judge Turpin in numerous productions, including those at the San Francisco Opera and the Lyric Opera of Chicago. Context_10 : How I Met Your Music is the name of two albums (the first being followed by the subtitle (Original Songs from the Hit Series "How I Met Your Mother"), the second being followed by Deluxe) composed of songs from the CBS television series "How I Met Your Mother", the first of which was released hours before the Season 8 premiere. It features 20 songs that had appeared in the first seven series on the show and was released only digitally, originally through iTunes. A second iteration, titled "How I Met Your Music: Deluxe" album, was released a year later. It contains an entirely different play list. Many critics have said that the albums reflect the series' consistently effective use of music. fact_1 : He then performed the role of Judge Turpin in a concert version of "Sweeney Todd" broadcast on PBS's "Great Performances" in 2000 with the New York Philharmonic, George Hearn, Patti LuPone, and Neil Patrick Harris. fact_2 : On television, he is known for playing the title character on "Doogie Howser, M.D." (1989–1993), Barney Stinson on "How I Met Your Mother" (2005–2014, for which he was nominated for four Emmy Awards), and Count Olaf on "A Series of Unfortunate Events" (2017 onward). Question: What actor from "How I Met Your Mother" performed with Timothy Nolen?
Example Output: | Neil Patrick Harris
| 3 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.5324074029922485,
-0.1319808065891266,
-0.6408143043518066,
0.3253868520259857,
0.7514225244522095,
0.259777694940567,
0.5393095016479492,
0.9102990627288818,
-0.11311594396829605,
0.6644704341888428,
-0.2112417072057724,
0.6127835512161255,
-0.960903525352478,
-0.16130833327770233,
0.... |
Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Input: I had purchased this, been charged for it, then was told it was out of stock. I did get refunded, but it shouldn’t have happened if there was better knowledge on how much they had in stock.
Output: | but it shouldn’t have happened if there was better knowledge on how much they had in stock | 3 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.045910853892564774,
0.28651267290115356,
-0.19729213416576385,
-0.6915714740753174,
0.403164267539978,
-0.6199849843978882,
0.49682581424713135,
0.5625293254852295,
0.32158106565475464,
0.9088976979255676,
-0.14443528652191162,
0.0017398231429979205,
-0.8949527740478516,
-0.1659881472587... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example input: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example output: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example explanation: The Polish sentence is correctly translated into Italian, because the meaning is preserved.
Q: Dlatego infrastruktura przewiduje wymianę akumulatorów. Dlatego infrastruktura przewiduje wymianę akumulatorów.
A: | Perciò quello che abbiamo aggiunto come secondo elemento alla nostra rete è un sistema di scambio di batterie. | 3 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.2424724102020264,
0.7780535221099854,
0.10139692574739456,
-0.1806824803352356,
-0.7269130945205688,
-0.41102445125579834,
0.5259047746658325,
0.190431147813797,
-0.09061510860919952,
-0.5112848281860352,
-0.4677586555480957,
0.2819755971431732,
-0.36522728204727173,
0.43908023834228516... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work. Your output should be the category number. Don't generate anything apart from numbers 1-14.
Q: Text: SitePoint is a Melbourne Australia-based website and publisher of books courses and articles for web developers. In January 2014 SitePoint.com had an Alexa ranking of 889 and a Quantcast rating of 14934.
A: 1
****
Q: Text: The Langley Aerodrome was a pioneering but unsuccessful manned powered flying machine designed at the close of the 19th century by Smithsonian Institution Secretary Samuel Langley. The U.S. Army paid $50000 for the project in 1898 after Langley's successful flights with small-scale unmanned models two years earlier.
A: 6
****
Q: Text: Pajaritos Bravos Muchachitos the fourth album of the Argentinean musician Indio Solari among with the band Los Fundamentalistas del Aire Acondicionado leaded by him. The album includes the participation of musicians Daniel Semilla Bucciarelli Sergio Dawi and Walter Sidotti ex partners of Solari in Patricio Rey y sus Redonditos de Ricota in the last song La pajarita pechiblanca.
A: | 12
****
| 4 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
0.3742755949497223,
0.7124208211898804,
-0.15981045365333557,
-0.2570646405220032,
0.22210189700126648,
-0.06939840316772461,
0.9756760597229004,
0.5832502841949463,
-0.4544292390346527,
-0.24206380546092987,
-0.490078866481781,
0.24978932738304138,
-0.2844424843788147,
-0.0634171441197395... |
Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
Input: A Snowy owl lays many eggs.
The Snowy owl is a bird, so they are known to lay many clutches of eggs throughout their life.
Output: | True | 3 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.5883331894874573,
0.7642405033111572,
-0.18580687046051025,
0.12720733880996704,
-0.5439088344573975,
-0.9347134828567505,
0.35538753867149353,
0.6376008987426758,
-0.058144353330135345,
-0.518865704536438,
-0.1865706443786621,
-0.03186878189444542,
-0.625482439994812,
0.245594337582588... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: "One size fits most" didn't fit me.
Summary: Followed the directions to the exact and had very minimal ... | False | 0 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.1669110804796219,
-0.04113655537366867,
-0.03377142921090126,
-0.3876117467880249,
-0.2376212775707245,
-0.5308222770690918,
0.6089866161346436,
0.655540406703949,
-0.5997202396392822,
0.3176417648792267,
-0.6247128844261169,
-0.609076201915741,
-0.5531530380249023,
0.04394867271184921,... |
Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Q: Context : Peter Joseph Osterhaus (1823--1917) was Union Army General in the American Civil War and later served as a diplomat.
Question : Which military did Peter Joseph Osterhaus serve with?
A: | military branch | 9 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.03414149582386017,
0.1725810170173645,
-0.3558134436607361,
-0.287174791097641,
0.5203918814659119,
-0.4677067995071411,
-0.17338789999485016,
0.433593213558197,
0.3009674549102783,
0.14380913972854614,
-0.3408680856227875,
-0.09029290080070496,
-0.3206811249256134,
-0.3906533122062683,
... |
Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: بلاگر میگوید که این دو دانشجو همراه با ده نفر از فعلان جامعه مدنی دستگیر شدند و بین هشتاد و صد نفر به اعتراض به این دستگیریها در لاهور تظاهرات کردند
Output: | The arrest of two students in Lahore leads to student protests in the city. More at Naitazi.com. | 2 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.3310548663139343,
0.5977324843406677,
0.23529374599456787,
-0.1776590645313263,
-0.763756275177002,
0.23786963522434235,
0.21016338467597961,
0.5387091040611267,
0.677753746509552,
-0.0495736189186573,
-0.4172050654888153,
0.36717894673347473,
-0.5453245639801025,
-0.19170032441616058,
... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['n', '5999', 'J', '713', 'd', '5239', '2443']
A: | 2, 4, 6, 7 | 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.22718524932861328,
0.827323317527771,
-0.2020825892686844,
-0.5236333012580872,
0.06529000401496887,
0.3717510998249054,
0.9696533679962158,
0.369157999753952,
-0.43327730894088745,
0.689968466758728,
0.002706896048039198,
-0.13680237531661987,
-0.4088224768638611,
0.015386184677481651,... |
Definition: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Input: Former United Nations secretary general Boutros Boutros-Ghali gives an interview to the Associated Press in New York.
May 27 1997 Former United Nations secretary general Boutros Boutros-Ghali gives an interview to the Associated Press in New York. Michael Schmelling/AP
Boutros Boutros-Ghali an urbane Egyptian diplomat whose service as United Nations secretary general during the early 1990s coincided with genocides from Rwanda to the Balkans as well as political frictions that caused the Clinton administration to block him from a second term died Feb. 16 at a hospital in Cairo. He was 93.
Boutros Boutros-Ghali in 1996 at the end of his term as U.N. secretary general. (Peter Morgan/Reuters)
Boutros Boutros-Ghali was born in Cairo on Nov. 14 1922. He was a Coptic Christian from a family with deep roots in Egyptâs old aristocracy.
Output: | Boutros Boutros | 2 | NIv2 | task418_persent_title_generation | zs_opt | [
0.04817873239517212,
0.44364672899246216,
-0.7887288331985474,
0.22792983055114746,
-0.19102008640766144,
-1.3430403470993042,
0.7608132362365723,
0.236735999584198,
0.21778303384780884,
0.576511025428772,
-0.8176299333572388,
1.5121748447418213,
-0.8948765993118286,
0.6232946515083313,
... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Example Input: #1 return members
#2 return #1 from Kentucky
#3 return card numbers of #2
Example Output: What are the card numbers of members from Kentucky?
Example Input: #1 return Bursa
#2 return country that #1 is capital of
#3 return where is #2 located
Example Output: Bursa is the capital of the country located where?
Example Input: #1 return images
#2 return birds in #1
#3 return number of #2 for each #1
#4 return #1 where #3 is equal to one
#5 return number of #4
#6 return if #5 is equal to one
Example Output: | If there is only one bird in one of the images.
| 3 | NIv2 | task184_break_generate_question | fs_opt | [
0.9807882905006409,
0.06750543415546417,
-0.8482598066329956,
0.20490935444831848,
0.6148980855941772,
-0.3998261094093323,
1.3341705799102783,
0.09988339245319366,
-1.0323398113250732,
0.6853206157684326,
-0.15090231597423553,
0.5557610988616943,
-0.1307879537343979,
0.508602499961853,
... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[1, 29, 9, -45, -38, 28, 67, -23, -36] | [28, 20, 54, 7, 66, 39, 90, 13] | 0 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.4313623905181885,
0.44523462653160095,
-0.3323773145675659,
-0.36510539054870605,
-0.6172477602958679,
0.2589030861854553,
1.0117307901382446,
0.3079805374145508,
0.36831438541412354,
-0.4443508982658386,
-0.42711055278778076,
-0.8048215508460999,
-0.30213648080825806,
0.025571858510375... |
You will be given a definition of a task first, then some input of the task.
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a word e.g 'nicr' is a typo of the word 'nice'. You need to identify the typo in the given sentence. To do this, answer with the word containing the typo.
Spetcators watching a team playing a baseball game.
Output: | Spetcators | 1 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.533295750617981,
0.20498886704444885,
0.052636370062828064,
1.0174775123596191,
0.7964119911193848,
-0.5800284147262573,
0.7237034440040588,
0.2666577100753784,
0.14385902881622314,
0.012584809213876724,
-0.2515983283519745,
-0.581731915473938,
-0.5466296672821045,
-0.4153822362422943,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Q: (CNN) The news out of Dallas in early February exploded around the world: Zika can be transmitted by sex. Suddenly, a virus that wasn't supposed to be a game changer in the United States took on a whole new dimension. It spurred the Centers for Disease Control and Prevention to add recommendations for safe sex to the already growing list of precautions needed to protect pregnant women from getting Zika and possibly infecting their unborn babies. But here's what is most startling: The Dallas case wasn't unique. The first known case of sexually acquired Zika in the United States actually occurred eight years ago in northern Colorado after a husband and wife reunion.First case of sexually acquired Zika was Colorado nearly a decade agoMicrobiologist Brian Foy got Zika in Africa and gave it to his wife when he returned
Question:He told me he thought it could potentially be _ virus."
A: | CNN | 4 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.008840016089379787,
0.14016272127628326,
-0.1689998209476471,
0.601750373840332,
-0.203698068857193,
0.03423943743109703,
0.29799556732177734,
0.9738568663597107,
-0.2771033048629761,
0.1123298779129982,
-0.37970972061157227,
0.8871177434921265,
-0.941123366355896,
-0.007434261962771416,... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: irrational number .
Output: | عدد ناگويا . | 2 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.6942933201789856,
0.445295125246048,
0.30508631467819214,
-0.1653721034526825,
-0.22667402029037476,
0.5269080400466919,
0.19647912681102753,
0.24384474754333496,
0.08293354511260986,
0.3926268219947815,
-1.700920820236206,
0.32361117005348206,
-0.4038160443305969,
0.13242340087890625,
... |
Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Q: Article: The most frequent reason why people don't make any money blogging is quite obvious: They do not work enough for it. Lots of people tend to think they just have to put some content online, fill it with Adsense ads and wait until they make money. Seriously, if it were that easy, everyone will have at least one website. Blogging is a job, and often a full- time job. If you want to make money online, you'll have to work with passion. This is unfair, but true. When a website is young (i. e. less than one year old), it is harder to rank high on search engines and to get people's attention. If you own a young website and work a lot, don't worry. Money will come later. Some people work a lot and with passion, but their blog posts suck . When you're a beginner, it is normal to make some mistakes. But if your blog exists since about one year, if you work a lot but do not see good effect, you'll have to improve your skills. In order to write better blog posts, pick the leader blog and study how it succeeds, how many posts the author writes per week, how the author improves the blog, etc. Blogging is one thing, and blog benefit is another. You can be a very good writer with had marketing skills. In that case, do not expect to make a lot of money with your blog, even if you have the _ I recommend you to read this article if you'd like to improve your blog benefit skills.
Answer: Reasons Why You're Not Making Money Blogging
A: | What's the best title for the passage? | 9 | NIv2 | task311_race_question_generation | zs_opt | [
-0.2099716067314148,
0.3200650215148926,
0.0824161246418953,
0.3997148275375366,
0.45444539189338684,
-0.4238794445991516,
0.038547731935977936,
0.8254101276397705,
-0.11183619499206543,
-0.07077407091856003,
0.3412340581417084,
-0.04913545399904251,
-0.8574102520942688,
-0.126191794872283... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific instance of Y. If niether COORD nor HYPER are applicable then the relationship is RANDOM.
X: turtle, Y: flow
Solution: RANDOM
Why? Turtle and flow have no relation, so RANDOM is the correct label.
New input: X: see, Y: think
Solution: | HYPER | 0 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.9747934341430664,
0.2176215648651123,
0.1680998057126999,
-0.050076358020305634,
-0.39331620931625366,
-0.0009513362310826778,
0.49575796723365784,
0.14474737644195557,
0.20238512754440308,
-0.3209764361381531,
-0.684956431388855,
-0.39031779766082764,
-0.4581809639930725,
0.66592907905... |
Definition: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Input: Verify if the sentiment of the following document towards the entity Masamichi Kogai is Negative . Mazdaâs North America CEO Masamichi Kogai told the automotive publication that the Japanese automaker is poised to get back on track with an all-new crossover exclusively built for the U.S.
âWe are actually going to introduce a totally new and different type of SUV â Kogai told Automotive News.
Hoping to get back on its feet after suffering from a serious sales slump Kogai told Automotive News that the automaker expects to bounce back from a two-year decline by banking on the crossover craze sweeping the U.S.
Kogai said Mazda predicted four years ago it would be selling 400 000 vehicles by this time. So far the Japanese automaker hasnât even cracked 300 000 units.
Output: | no | 2 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.23033207654953003,
-1.1842832565307617,
0.08197106420993805,
-0.09212574362754822,
0.07048641890287399,
-0.09991968423128128,
1.0933886766433716,
0.7691380977630615,
0.110999695956707,
0.31959497928619385,
-0.37828561663627625,
0.2038358747959137,
0.4110914468765259,
0.3442433476448059,... |
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Q: Qapaqtaz (Persian: , also Romanized as Qapaqtaz and Qapaqtaz) is a village in Balaband Rural District, in the Central District of Fariman County, Razavi Khorasan Province, Iran.
A: | Which country can you find Qapaqtaz? | 4 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.7997403144836426,
1.1353349685668945,
0.1637606918811798,
-0.03385064750909805,
-0.23927700519561768,
0.35471397638320923,
1.8854527473449707,
0.539968729019165,
-0.6350635290145874,
-0.5005840063095093,
-1.2033729553222656,
0.5254185199737549,
-1.0347075462341309,
0.7079393863677979,
... |
Instructions: You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Make sure that your story does not repeat the relation in the given paragraph (e.g., by avoiding verbatim copies of the given paragraph). Start by reading the background paragraph, and determine what relationship(s) are in the paragraph. Write a story that involves the relationship(s) that you determined are in the background paragraph. Try to use your own words as much as possible and not repeat the background paragraph. Feel free to make up places and events as long as they tie back to the background paragraph in a way that you can ask a question about.
Input: Background Paragraph: During the 1670s, the Dutch tradesman Antony van Leeuwenhoek, shown in Figure below , used microscopes to observe many microbes and body cells. Leeuwenhoek developed an interest in microscopy and ground his own lenses to make simple microscopes. Leeuwenhoek was so good at making lenses that his simple microscopes were able to magnify much more clearly than the compound microscopes of his day. His microscope's increased ability to magnify over 200x is comparable to a modern compound light microscope. Compound microscopes , which are microscopes that use more than one lens, had been invented around 1595 by Zacharias Jansen, a Dutch spectacle-maker. Several people, including Robert Hooke, had built compound microscopes and were making important discoveries with them during Leeuwenhoek’s time.
Output: | John is interested in the history of science. He went to a science museum to learn more about microscopes. First he saw a Leeuwenhoek microscope, which was labeled as item A, then he saw a compound microscope of Leeuwenhoek's time, which was labeled as item B. At the very end of his museum tour he saw a modern compound light microscope, which was labeled as item C. | 3 | NIv2 | task059_ropes_story_generation | zs_opt | [
0.39951375126838684,
0.5074382424354553,
-0.2122027575969696,
-0.02940554916858673,
0.3962666392326355,
0.2869745194911957,
-0.32244497537612915,
0.914446234703064,
0.04747963696718216,
-0.0017689167289063334,
-0.8443052768707275,
0.24117368459701538,
-0.19803392887115479,
0.17082801461219... |
Q: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Context Word: receive.
A: | Sentence 1: PersonX was happy to receive their diploma from PersonY on graduation, _ is graduating from school.
Sentence 2: PersonX was happy to receive their diploma from PersonY on graduation, _ is employed by a school. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.13117417693138123,
0.45122236013412476,
0.14677691459655762,
-0.5332510471343994,
0.07366961240768433,
-0.5437467098236084,
0.6825433373451233,
0.847504734992981,
-0.0643668994307518,
-0.5449329614639282,
-0.09225461632013321,
-0.13594070076942444,
-0.7681993246078491,
-0.107058189809322... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both sets. An element is at the intersection of two given sets, A and B, if common to both A and B. Classify your answers into 'Yes' or 'No'.
Q: Set1: '{1, 7, 8, 9, 12, 15, 17, 19, 20}', Set2: '{3, 4, 5, 6, 10, 11, 16, 19}'. Is the element '11' in the intersection of Set1 and Set2 ?
A: | No | 4 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.03486890345811844,
-0.0501057468354702,
-0.3691595494747162,
-0.06432092189788818,
-0.2735776901245117,
-0.45349767804145813,
0.9120574593544006,
0.5503298044204712,
-0.1395922601222992,
0.06531332433223724,
-0.444967657327652,
0.01757385954260826,
0.027597591280937195,
-0.10650521516799... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Example input: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Example output: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Example explanation: The Spanish sentence is correctly translated into English, because the meaning is preserved.
Q: Este, el Helicodiceros, también es llamada yaro tragamoscas.
A: | This, which is helicodiceros, is also known as dead horse arum. | 3 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.939429521560669,
0.7136824131011963,
0.3144863247871399,
0.10056331008672714,
-0.3343554735183716,
-0.10860870033502579,
0.0007224480505101383,
0.7313400506973267,
-0.5258586406707764,
-0.2848203778266907,
-0.8482561111450195,
0.118227519094944,
-0.6302552819252014,
-0.2693641781806946,... |
Teacher:Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: その地震はAWST午前8時17分（UTC0時17分）に起き、ゴールドフィールズ・エスペランス地域では50年間でもっとも強いものである。
Filipino: Ang lindol, na yumanig bandang alas-08:17 ng umaga AWST (00:17 UTC), ang pinakamalakas na tumama sa rehiyon ng Goldsfields-Esperence sa loob ng 50 taon.
Student: | Yes | 6 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.7348594069480896,
-0.49456876516342163,
0.1734924018383026,
-0.1374949961900711,
0.20108512043952942,
-1.1722275018692017,
0.14520609378814697,
0.6489270925521851,
0.08684880286455154,
-0.600757360458374,
-0.13766521215438843,
0.6133297085762024,
-0.8963973522186279,
0.2722066640853882,... |
Detailed Instructions: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Q: Personality: I live alone in a cabin.
I am a 70 year old man.
I like to go fishing on the lake.
I own a boat.
Chat history: -Hey there! How is your day going?
-Pretty well how about you?
-Good! Just taking a break from my shift at a restaurant.
-I'm so lonely in this cabin.
-So sorry to hear that. What do you like to do in your free time?
-I go fishing at the lake outside my cabin.
-Awesome. I like to create new recipes. Gonna open my own restaurant someday.
A: | You should cook for me on my boat. | 9 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.4590702950954437,
-0.14025560021400452,
-0.32075008749961853,
-0.8276519775390625,
-0.10856474936008453,
-0.40046054124832153,
0.7049851417541504,
-0.09803405404090881,
-0.22604915499687195,
-0.07874070107936859,
0.18071459233760834,
-0.2860099971294403,
-1.0175867080688477,
0.585053682... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.
از نظر تفاوت بین اخلاص و ریا رابطه ای می تواند میان نیّت و عمل برقرار باشد که مرتبط با حسن فاعلی می باشد.
تفاوت میان ریا و اخلاص مربوط به حسن فاعلی می باشد. | E | 0 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.7833097577095032,
0.35508131980895996,
0.2079843431711197,
0.0023573527578264475,
-0.6907018423080444,
-0.1431230902671814,
0.8254820704460144,
0.5928482413291931,
0.3473120927810669,
-0.1315813809633255,
-0.532603919506073,
-0.21357473731040955,
-0.29982927441596985,
-0.079933971166610... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Input: Consider Input: Sentence 1: Board member qualifications are more than a matter of education and experience, they are also a matter of personal attributes of which integrity is number one. Sentence 2: Integrity is an important attribute because a lot of money is involved.
Output: no
Input: Consider Input: Sentence 1: yeah yeah yeah it was it was nice i enjoyed it uh Tehran was a beautiful place i still remember the house we lived in great big old it was almost something out of Ali Baba and the forty thieves you know Sentence 2: I don't ever want to go back to Tehran.
Output: yes
Input: Consider Input: Sentence 1: yes it did yes it did just as Rain Man uh with Dustin Hoffman Sentence 2: I have never heard of Rain Man.
| Output: yes
| 2 | NIv2 | task199_mnli_classification | fs_opt | [
-0.11984646320343018,
0.7216053605079651,
0.31729841232299805,
-0.266178160905838,
0.30373576283454895,
-0.5253766775131226,
0.7293487787246704,
0.7525054216384888,
0.29496923089027405,
0.5766958594322205,
-0.14836299419403076,
-0.4335523843765259,
-0.7863447666168213,
-0.23075217008590698... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
زنگ عصرانه نواخته شد و او مغرورانه به همراه مگ سر میز نشستند
Output: | and he proudly took her in to supper, | 1 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.6500563025474548,
0.8461295962333679,
-0.2857169210910797,
-0.44473060965538025,
-0.721016526222229,
0.8042557239532471,
0.5969932079315186,
-0.20875339210033417,
0.23593419790267944,
-0.1579265296459198,
-0.3967706263065338,
-0.04977325350046158,
-0.04452802240848541,
-0.18953342735767... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Q: How long, on average, is the duration of a televised college basketball game?
A: What is the best conference in college basketball?
****
Q: What would happen if the Indian government stole the Kohinoor (Koh-i-Noor) diamond back?
A: Why can't India get its Kohinoor diamond back?
****
Q: How has the role of the computer in education changed over the past 25 years?
A: | What changes can we expect in education systems in the next 50 years?
****
| 4 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.5875666737556458,
0.7705379724502563,
-0.6413922309875488,
-0.357262521982193,
-0.5816009044647217,
-0.010199129581451416,
0.3279176950454712,
0.23391208052635193,
-0.05175686255097389,
-0.18901537358760834,
0.19164231419563293,
0.7280777096748352,
-0.9692336320877075,
0.615562677383422... |
TASK DEFINITION: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
PROBLEM: Wij wilden diversifiëren .
SOLUTION: None
PROBLEM: Niet in België en niet in Laken .
SOLUTION: België: B-LOC, Laken: B-LOC
PROBLEM: " Mijn kleindochtertje is aan de dood ontsnapt " , zucht de vrouw .
SOLUTION: | None
| 8 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
-0.000859247287735343,
0.43297499418258667,
-0.27649587392807007,
-0.35106658935546875,
-0.2037760615348816,
0.3950898349285126,
1.0919463634490967,
-0.0010971474694088101,
0.3724694550037384,
-0.6571831703186035,
-0.42729225754737854,
0.6839608550071716,
-0.46809107065200806,
0.2539251446... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Entón, ao día seguinte, fixen unha reunión na praza principal e viñeron algunhas mulleres.
A: | روز بعد یک جلسه در میدان اصلی گذاشتم و چند زن آمدند. | 7 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.17482075095176697,
1.0393816232681274,
-0.5229499936103821,
-0.7268686890602112,
-0.24489769339561462,
-1.0811712741851807,
0.509429395198822,
0.25647225975990295,
0.4976423680782318,
0.7574607729911804,
-0.5394030809402466,
0.2639060616493225,
-0.38850969076156616,
0.8218607902526855,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Q: Miren como desenvolve un xogo vocal coa miña muller, só por xogo e polo puro desexo de estar acoplado con outro ser humano.
A: | Guardate come ha sviluppato un gioco vocale con mia moglie, solo per il desiderio e la pura gioia di associarsi ad un'altra persona. | 4 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.23515835404396057,
1.228177785873413,
-0.7468454241752625,
-0.39177271723747253,
-0.4149491786956787,
-0.4395729601383209,
0.38014310598373413,
0.18280139565467834,
-0.20322656631469727,
-0.7540616989135742,
0.0370500385761261,
0.5230359435081482,
-0.7423713207244873,
0.3328129947185516... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Ex Input:
Tak więc jest kilka rzeczy, które jednoczą nas tak jak wybory.
Ex Output:
Poche cose riescono a unire il genere umano come le elezioni.
Ex Input:
Co ważniejsze, zainspirujemy następne pokolenie naukowców, technologów, inżynierów, matematyków.
Ex Output:
Ma ancora più importante, dovremo ispirare la prossima generazione di scienziati, tecnici, ingegneri e matematici.
Ex Input:
(Muzyka) Video: Wychowując je w kulturze po części bonobo, po części ludzkiej i dokumentując ich rozwój przez dwadzieścia lat, naukowcy badają, jak wpływy kulturowe (Śmiech) mogły działać w trakcie ludzkiej ewolucji.
Ex Output:
| (Musica) Video: Allevando i Bonobo in una cultura che è sia dei Bonobo che degli umani, e documentando il loro sviluppo attraverso due decenni, gli scienziati hanno esplorato come la cultura (Risate) possa aver influenzato l'evoluzione umana.
| 1 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.2610900402069092,
0.47631099820137024,
-0.7490736246109009,
0.46139079332351685,
-0.4547438621520996,
-0.7807905673980713,
0.34191006422042847,
0.46392419934272766,
-0.4910287857055664,
-0.1356528103351593,
-0.171537846326828,
0.5536649227142334,
0.16768226027488708,
-0.1636994481086731... |
In this task, you are provided with an article about the legal acts. Your task is to generate a headline for that article.
Ex Input:
Marketing standards are hereby laid down for shrimps of the genus 'Crangon' sp.p., simply boiled in water, falling within subheading ex 03.03 A IV b) 1 of the Common Customs Tariff. For the purpose of this Regulation: (a) 'marketing' means the first offering for sale and the first sale after arrival in the Community;(b) 'lot' means a quantity of shrimps packed as a unit;(c) 'packaging' means the type of container in which the shrimps are offered for sale, such as boxes, baskets, etc. 1. Shrimps as specified in Article 1 which form part of Community catches may be marketed for human consumption within the Community only if they comply with the provisions of this Regulation.2. The provisions of this Regulation shall not, however, apply to small quantities of shrimps disposed of by inshore fishermen direct to retailers or to consumers.3. Detailed rules for the application of paragraph 2 shall be adopted in accordance with the procedure laid down in Article 32 of Regulation (EEC) No 100/76. The marketing standards referred to in Article 1 comprise: (a) freshness categories, and(b) size categories. 1. Shrimps as specified in Article 1 shall be classified by lot in Freshness Category A or B.Freshness Category A: (a) Minimum requirements: - the shell must have a moist and shiny surface;- the shrimps must fall out separately when poured from one container to another;- the flesh must be free from any foreign odour;- the shrimps must be free from sand and other foreign bodies.(b) Appearance of shrimp with shell: - clear reddish-pink in colour with small white flecks ; pectoral part of the shell should be light in colour;- very incurved.(c) Condition of flesh during and after shelling: - it should shell easily with only such losses of flesh as are technically unavoidable;- it should be firm, but not tough.(d) Fragments:occasional fragments of shrimp allowed.Freshness Category B: (a) Minimum requirements:the same as for Freshness Category A.(b) Appearance of shrimp with shell: - ranging in colour from slightly washed-out reddish-pink to bluish red with white flecks ; pectoral part of the shell should be light coloured tending towards grey;- incurved.(c) Condition of flesh during and after shelling: - it should shell less easily with small losses of flesh;- it can be less firm, slightly tough.(d) Fragments:small quantity of fragments allowed.2. Water content shall also be taken into consideration when products are being classified by freshness category.Detailed rules for the application of this paragraph shall be adopted in accordance with the procedure laid down in Article 32 of Regulation (EEC) No 100/76. 1. Each lot must contain products of the same degree of freshness. A small lot need not, however, be of uniform freshness ; if it is not the lot shall be placed in the lowest freshness category represented therein.2. The freshness category must be clearly and indelibly marked, in characters which are at least 5 cm high, on labels affixed to the lot. 1. Shrimps shall be graded in the following size categories: >PIC FILE= 'T0015873'>2. Each lot must contain shrimps of the same size. A small lot need not, however, be of uniform size ; if it is not the lot shall be placed in Size Category 2.3. The size category must be clearly and indelibly marked, in characters which are at least 5 cm high, on labels affixed to the lot. The industry shall grade shrimps for freshness and size, where necessary in collaboration with experts designated for that purpose by the trade organizations concerned. Not later than one month before the system laid down by this Regulation begins to apply, each Member State shall supply the other Member States and the Commission with a list of the names and addresses of the experts and trade organizations referred to in Article 8. The other Member States and the Commission shall be informed of any amendments to this list. 01. Shrimps as specified in Article 1 imported from third countries may be marketed in the Community for human consumption only if: (a) they comply with the provisions of Articles 4, 5, 6 and 7;(b) they are presented in packages on which the following information is clearly and legibly marked: - country of origin, printed in capital letters which are at least 20 mm high;- one of the following descriptions:Crevettes grises,Garnelen,Gamberetti grigi,Garnalen,Shrimps,Hesterejer; - freshness category and size category;- net weight in kg of the shrimps in the package;- date of grading and date of dispatch;- name and address of sender.2. However, shrimps landed in a Community port direct from the fishing grounds from vessels flying the flag of a third country and intended for marketing for human consumption shall be subject, when put on the market, to the same provisions as those applicable to Community catches. 11. Council Regulation (EEC) No 166/71 of 26 January 1971 laying down common marketing standards for shrimps of the genus 'Crangon' sp.p. (1), as last amended by Regulation (EEC) No 3400/73 (2), is hereby repealed.2. References to the Regulation repealed by virtue of paragraph 1 shall be construed as references to this Regulation. 2This Regulation shall enter into force on 1 February 1976.This Regulation shall be binding in its entirety and directly applicable in all Member States.
Ex Output:
Council Regulation laying down common marketing standards for shrimps of the genus 'Crangon' sp.p.
Ex Input:
1.xa0xa0xa0An official paid from appropriations in the research and investment budget and employed in an establishment of the Joint Research Centre or on indirect action, or paid from appropriations in the operational budget and employed in a computer centre, or a security department, and who is engaged in shiftwork within the meaning of Article 56a of the Staff Regulations shall be entitled to an allowance of:— Bfrs 2xa0685 — where the department operates on a two-shift basis, excluding Saturdays, Sundays and public holidays;— Bfrs 4xa0430 — where the department operates on a round-the-clock basis, excluding Saturdays, Sundays and public holidays;— Bfrs 6xa0041 — where the department operates on a continuous basis.The allowance shall be adjusted by the weighting applicable to the official's salary.2.xa0xa0xa0Where shiftwork does not continue throughout the month, one thirtieth of the said allowance shall be paid for each day on which shifts are worked. However, no allowance shall be paid if the number of days of shiftwork is fewer than three per month.3.xa0xa0xa0An official who can show that for a period not exceeding one month he was prevented from doing shiftwork on grounds of illness, accident, shutdown, leave for attendance at training courses or annual leave, shall retain his entitlement to the allowance. If the period during which he is prevented from doing shiftwork extends to more than one month, his entitlement to the allowance shall be suspended at the end of that month until he resumes work. An official who is entitled to payment of the allowance provided for in Article 1 may receive the allowances for particularly arduous work provided for in Article 100 of the Staff Regulations only up to a maximum of 600 points, to be determined in accordance with Regulation (Euratom) No 1799/72xa0(3). This Regulation shall apply mutatis mutandis to temporary, auxiliary and establishment staff. Articles 1 and 4, second paragraph, of Council Regulation (Euratom) No 1371/72 of 27 June 1972 determining the rates and the conditions of the special allowances which may be granted to officials or servants who are paid from appropriations in the Research and investment budget and employed in an establishment of the Joint Research Centre or on indirect action for services of a special naturexa0(4), are repealed. This Regulation shall enter into force on the day following that of its publication in the Official Journal of the European Communities.It shall apply from 1 February 1976.This Regulation shall be binding in its entirety and directly applicable in all Member States.
Ex Output:
Council Regulation determining the categories of officials entitled to allowances for shiftwork, and the rates and conditions thereof
Ex Input:
In Article 8 of Regulation (EEC) No 1105/68: - in paragraph 1 the figure '20' is replaced by the figure '22',- in the second subparagraph of paragraph 3 the figure '3 000' is replaced by the figure '3 300'. This Regulation shall enter into force on the day of its publication in the Official Journal of the European Communities.It shall apply from 3 March 1975.This Regulation shall be binding in its entirety and directly applicable in all Member States.
Ex Output:
| Regulation amending Regulation (EEC) No 1105/68 as regards aid for skimmed milk obtained through the production of farm butter
| 1 | NIv2 | task743_eurlex_summarization | fs_opt | [
-0.10343308746814728,
-0.32461488246917725,
-0.2851991057395935,
-0.36626356840133667,
1.0211701393127441,
-0.015578342601656914,
0.007712790742516518,
1.0311163663864136,
-0.78699791431427,
0.13734766840934753,
-0.055198922753334045,
0.7093874216079712,
-0.0752437487244606,
-0.24935877323... |
Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'be president of', Sentence: 'At noon today , Barack Hussein Obama became the 44th President of the United States .'
Output: | President | 3 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.17439812421798706,
0.7519111633300781,
0.2714913487434387,
0.0759507343173027,
-0.5798137187957764,
-0.8911062479019165,
0.614242434501648,
0.38585424423217773,
1.3874090909957886,
-0.1270802617073059,
-0.4684406518936157,
0.14384499192237854,
0.07604357600212097,
-0.2873687744140625,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon no rekishi / Nihonshi?) es la sucesión de hechos acontecidos dentro del archipiélago japonés. Algunos de estos hechos aparecen aislados e influenciados por la naturaleza geográfica de Japón como nación insular, en tanto que otra serie de hechos, obedece a influencias foráneas como en el caso del Imperio chino, el cual definió su idioma, su escritura y, también, su cultura política. Asimismo, otra de las influencias foráneas fue la de origen occidental, lo que convirtió al país en una nación industrial, ejerciendo con ello una esfera de influencia y una expansión territorial sobre el área del Pacífico. No obstante, dicho expansionismo se detuvo tras la Segunda Guerra Mundial y el país se posicionó en un esquema de nación industrial con vínculos a su tradición cultural.
QUESTION: ¿Cuándo se detuvo el expansionismo de Japón?
Solution: tras la Segunda Guerra Mundial
Why? The answer is more than 3 words and it is taken from the context provided. Also, the answer is precise indicating the time without duration as mentioned in the context.
New input: CONTEXT: Según el experto en asuntos de Taiwán Li Jiaquan, los estudiantes habían pedido permiso para organizar protestas por la actitud de rechazo del nuevo presidente de la política de "una sola China" y de la teoría de "un país, dos sistemas" que Pekín plantea como requisito previo para concluir con el proceso de reunificación pacífica de la "madre patria". Li, ex director del Instituto de Investigación de Taiwán de la Academia China de Ciencias Sociales, indicó además que Pekín deberá replantearse ahora sus planes para consumar la reunificación, ya que la estrategia siempre se planteó con el Kuomintang en el poder. El experto opina que China podría emprender acciones militares en vez de una guerra dialéctica con Taipei, o quizás decida continuar con los juegos de guerra para mantener a la isla en la incertidumbre. De hecho, y a pesar del mutismo absoluto de Pekín desde que se conociera el resultado de las elecciones, la prensa de Hong Kong informa hoy de las maniobras llevadas a cabo el domingo pasado por un centenar de aviones de combate chinos a pocos kilómetros de las costas de Taiwán, donde las autoridades militares permanecen en situación de alerta. A pesar de que el presidente electo en la isla se apresuró en sus primeras declaraciones públicas a despejar los temores independentistas suscitados en Pekín por la victoria, las autoridades chinas aún no han dado a conocer su reacción oficial sobre el resultado de los comicios. Dicho pronunciamiento será decisivo para determinar el futuro de las relaciones a través del Estrecho de Formosa, caracterizadas en las últimas semanas por las amenazas de guerra de Pekín en caso de una declaración de independencia del vencedor en las elecciones celebradas en Taiwán.
QUESTION: ¿Dónde se realizaron las maniobras militares?
Solution: | a pocos kilómetros de las costas de Taiwán | 0 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.21218903362751007,
-0.22119317948818207,
-0.6095648407936096,
0.38841456174850464,
0.6784772872924805,
0.03534513711929321,
0.7379146218299866,
0.8249666690826416,
-0.17648100852966309,
0.23380854725837708,
-0.0014583654701709747,
0.4471776485443115,
-0.5430797338485718,
0.37278997898101... |
A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਭਾਈਓ ਭੈਣੋਂ,
A: ମୋର ପ୍ରିୟ ଭାଇ ଓ ଭଉଣୀଗଣ,
****
Q: ਸੈਂਟਰਲ ਵਾਟਰ ਕਮਿਸ਼ਨ ਲਈ ਇਹ ਵਿਕਸਿਤ ਮਾਰਗ ਲਾਭਦਾਇਕ ਹੋਵੇਗਾ , ਕਿਉਂਕਿ ਅਲਾਟ ਕੀਤੀ ਭੂਮੀ ਉੱਤੇ ਇੱਕ ਉਤਕ੍ਰਿਸ਼ਟਤਾ ਕੇਂਦਰ (Center of Excellence)ਨਿਰਮਿਤ ਕਰਨ ਦਾ ਪ੍ਰਸਤਾਵ ਕੀਤਾ ਗਿਆ ਹੈ ।
A: ମୁଁ ଏପରି ଭାରତର ପରିକଳ୍ପନା କରୁଛି ଯେଉଁଠାରେ ଦେଶବାସୀ ନିଜ ସମୟ ଠାରୁ ଦୁଇ ପାଦ ଆଗକୁ ଭାବିପାରୁଥିବେ ଏବଂ ଚାଲିବାର ସାହସ ଜୁଟାଇ ପାରୁଥିବେ ।
****
Q: ਸਵੱਛਤਾ ਨੂੰ ਇੱਕ ਰੁਝਾਨ ਮੰਨ ਕੇ, ਇੱਕ ਵੱਡੀ ਲਗਨ ਨਾਲ ਰੋਜ਼ਾਨਾ ਅਭਿਆਸ ਕਰੀਏ ਤਾਂ ਇਹ ਰੁਝਾਨ ਆਪਣੇ ਆਪ ਸਮਾਜ ਦਾ ਰੁਝਾਨ ਬਣ ਜਾਵੇਗਾ।
A: | ଦେଶର ସ୍ୱଧୀନତା ପାଇଁ ନିଜ ଜୀବନକୁ ଲଗାଇ ଦେଇଥିବା ଆମର ବୀର ସୁପୁତ୍ରଙ୍କର ସ୍ୱପ୍ନ ଏବେ ମଧ୍ୟ ଅସଂପୂର୍ଣ୍ଣ ରହିଛି ।
****
| 4 | NIv2 | task1040_pib_translation_punjabi_oriya | fs_opt | [
0.1205102950334549,
1.2249510288238525,
-0.6115989685058594,
-0.027756668627262115,
-0.05789435654878616,
-1.0529930591583252,
0.3573015630245209,
0.08019210398197174,
-0.08601196110248566,
0.23937252163887024,
0.000046859728172421455,
-0.5419906377792358,
-0.2881981134414673,
-0.300271987... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Ex Input:
זה היה עניין שסבב סביב בנקאים. הם יצרו משהו שעבד בשבילם.
Ex Output:
Si trattava dei banchieri. Hanno creato qualcosa che funzionava per loro.
Ex Input:
התחלתי ללמוד את כל הרעיון הזה, של מה זה מחשב? הוא אמצעי מוזר.
Ex Output:
Ho cominciato a studiare questo concetto su cosa sia il computer. È uno strano medium.
Ex Input:
עסקתי בנושאי בריאות, איכות הסביבה, פיתוח כלכלי, צמצום העוני, ובזמן שעבדתי יותר ויותר בתחום החברתי, התחלתי לראות משהו שהייתה לו השפעה עמוקה עלי וכל החיים שלי, באופן מסויים.
Ex Output:
| Ho lavorato su sanità, ambiente, sviluppo economico, riduzione della povertà, e lavorando sempre più nel campo del sociale, ho iniziato a vedere qualcosa che ha avuto un profondo impatto su di me e su tutta la mia vita, in un certo senso.
| 1 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.1623252034187317,
0.09641870111227036,
-0.4566839933395386,
0.6125277280807495,
-0.8618885278701782,
0.21463008224964142,
-0.08982855081558228,
0.8357440233230591,
1.2233823537826538,
-0.28596657514572144,
-0.4501412808895111,
0.8103502988815308,
-0.25707054138183594,
0.0211844518780708... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage.
Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving.
Solution: How old is Will Hunting in the movie ?
Why? This is a good question which has a factoid answer.
New input: Judy (Theresa Randle) is at an audition with Quentin Tarantino. Tarantino reveals that the film Judy is auditioning for is "the greatest romantic, African-American film ever made. Directed by me, of course" and is requested to remove her blouse so "Q.T." and his assistant can see her breasts. She reluctantly complies, but walks out on the audition.Her agent (John Turturro) is furious. Having worked hard to get Judy her audition with such a prestigious director, he quickly and angrily drops her from his roster of clients. Her melodramatic acting coach (Susan Batson) is also extremely displeased. When Judy tells her why she did not go through with the audition, the acting coach still does not see any reason why Judy should have walked out. This, topped with the fact that Judy has not paid her rent in a very long while, forces her to drop Judy from her roster of clients as well.Now unable to secure acting work, Judy must find a way to make ends meet. She tries a number of jobs: passing out fliers, waiting tables at a club, and working as an extra on a movie set. She checks the circulars for wanted ads, and seeing "friendly phone line", as well as, "mo money, mo money, mo money". She circles them both.At what turns out to be a phone sex office, Judy meets her new boss, Lil, who seems to be an assertive but friendly woman. The two click and the audition goes over just fine. Judy attends another interview, at a strip club/phone sex line with a relaxed boss (Madonna), that would have fewer restrictions on her, but required she have her own private telephone line. She decides to stick to her original application with Lil.Throughout the film, the phone sex line, having been secured at Lil's company, begins to take its mental toll on Judy, the newly christened Girl 6. She trusts her clients too much at times, and even agrees to meet one of her callers at one point, but he never shows, leaving her on a bench alone. It is visible to everybody, especially Lil and her neighbor and confidant Jimmy, that Judy is having a breakdown. She experiences a dark sequence in which she enters a snuff fantasy with a caller (Michael Imperioli), who frighteningly seems to know where she lives. She decides that it is time to leave the phone sex career behind and move to Los Angeles for her acting career.Judy attends another audition which parallels her experience with Tarantino. She again walks out. However, this time, still as "Girl 6", Judy has reclaimed her dignity.
Solution: | Who has not paid her rent in a very long? | 0 | NIv2 | task193_duorc_question_generation | fs_opt | [
-0.27093306183815,
0.2900727689266205,
-0.41409236192703247,
-0.6215742826461792,
0.19709369540214539,
0.3755585551261902,
0.19301536679267883,
0.5844412446022034,
0.3032686114311218,
-0.19700345396995544,
-0.1416453719139099,
-0.3536486327648163,
-0.515257716178894,
-0.012554237619042397,... |
Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Input: ACTION1: wanting to kick my ex off my family plan ACTION2: criticizing police officers for this
Output: | no | 3 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.29676157236099243,
-0.19255331158638,
0.12726755440235138,
0.6171755790710449,
-0.094872385263443,
-0.9804961681365967,
-0.04292278364300728,
0.6597954034805298,
0.19261524081230164,
0.5066471099853516,
-0.21952414512634277,
-0.7031709551811218,
-0.6906378269195557,
-1.193016529083252,
... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Example input: Premise: Lost Moon: The Perilous Voyage of Apollo 13 (published in paperback as Apollo 13), is a non-fiction book first published in 1994 by astronaut James Lovell and journalist Jeffrey Kluger, about the failed April 1970 Apollo 13 lunar landing mission which Lovell commanded. The book is the basis of the 1995 film adaptation "Apollo 13", directed by Ron Howard. <sep> Hypothesis: the book wouldnt have happened if we didnt try to go into space
Example output: Entailment
Example explanation: This is a good example, the book wouldnt have happened if we didnt try to go into space. The hypothesis sentence entails the given premise.
Q: Premise: Westfield Garden City, better known as Garden City, is one of Brisbane's major shopping centres, located in the suburb of Upper Mount Gravatt. The centre is operated by Westfield, and previously operated by AMP Limited before the takeover in 2003. The shopping centre currently has 440 specialty stores, cafes, restaurants and other services and food vendors. <sep> Hypothesis: The shopping centre has 17 cafes.
A: | Neutral | 3 | NIv2 | task1385_anli_r1_entailment | fs_opt | [
0.3665921986103058,
0.4620802104473114,
-0.025144634768366814,
-0.40255284309387207,
-0.02695080265402794,
-0.45192205905914307,
0.9733459949493408,
0.1403062641620636,
0.1393238753080368,
-0.453866571187973,
-0.7679276466369629,
0.39729177951812744,
-0.42173677682876587,
-0.14110749959945... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example is below.
Q: Egypt (similar results in Jordan)
A: مصر (با نتایجی مشابه در اردن)
Rationale: This is a good example. The above sentence is correctly translated from English to Persian.
Q: These words shocked all people standing in the metro, and questions were directed to the mother whose child suffers a tumor in the brain.
A: | این سخنان بسیاری را شوکه کرد و از وی پرسیدند که چه اتفاقی افتاده است. کودک توموری در مغز داشت. | 9 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.28255394101142883,
0.7335300445556641,
-0.15306514501571655,
-1.0848215818405151,
-0.8233050107955933,
-0.40526217222213745,
1.2161247730255127,
0.2923290431499481,
0.7158877849578857,
-0.09922221302986145,
-0.4944113492965698,
1.0990757942199707,
-0.49863940477371216,
0.208099558949470... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Teacher: Now, understand the problem? Solve this instance: story: Adam took a walk He then saw a kid by himself. He wasn't sure what to do. Then the kids father shows up. Adam carries on
selected sentence: Then the kids father shows up.
Student: | The kid's father want(s) to go to the boy >Motivates> The kid's father shows up | 6 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.0032091825269162655,
-0.5666818022727966,
0.11399877071380615,
-0.34630632400512695,
-0.49461162090301514,
-0.7806275486946106,
0.5479249954223633,
0.7281463146209717,
-0.6204280257225037,
0.13743752241134644,
-0.36879268288612366,
0.4043938219547272,
-0.1498195230960846,
-0.55813288688... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
[EX Q]: Rick Scott has heavily invested in a company that is geared to helping illegal aliens transfer money to family and friends out of the country."
[EX A]: immigration
[EX Q]: Says Chris Christie inherited the highest taxes in America and the worst unemployment in the region.
[EX A]: jobs
[EX Q]: In Minnesota, well over 6,200 election-day registrations from 2008 proved fraudulent.
[EX A]: | elections
| 6 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.30038732290267944,
0.48914462327957153,
-0.03541616350412369,
0.330691933631897,
-0.3094668984413147,
0.3130017817020416,
0.002343519125133753,
0.3055504560470581,
0.364876925945282,
0.4041918218135834,
-0.06133712828159332,
-0.111797995865345,
-0.16033095121383667,
0.07136940956115723,... |
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.
[EX Q]: जनशक्ति की तात्कालिक आवश्यकता को मौजूदा जनशक्ति संसाधनों की नये सिरे से तैनाती और पेशेवर जनशक्ति एजेंसियों की आउटसोर्सिंग के विवेकपूर्ण मिश्रण के माध्यम से पूरा किया जा सकता है।
[EX A]: જનશક્તિની તાત્કાલિક જરૂરિયાતોને હાલની જનશક્તિનાં સ્રોતોને નવી રીતે ઉપલબ્ધ અને વ્યવસાયિક જનશક્તિ એજન્સીઓની આઉટસોર્સિંગનો વિવેકબુદ્ધિથી સમન્વય કરીને પૂરી કરી શકાય છે.
[EX Q]: 1857 के स्वतंत्रता की लड़ाई और जलियांवाला बाग नरसंहार को समर्पित संग्रहालय भी इस परिसर का हिस्सा है।
[EX A]: આ સંગ્રહાલય 185ની આઝાદીની લડાઈને તથા જલિયાવાલા બાગનો હત્યકાંડ કે જે આ સંગ્રહાલયના સંકુલનો હિસ્સો ગણાય છે તેનું લોકાર્પણ કરવામાં આવ્યું છે.
[EX Q]: उन्होंने कहा कि विक्रम साराभाई ने आधुनिक विज्ञान, भौतिक अनुसंधान और परमाणु ऊर्जा इत्यादि क्षेत्रों में संस्थानों की स्थापना के जरिए आधुनिक भारत के निर्माण में बहुत बड़ा योगदान दिया है।
[EX A]: | આ કાર્યક્રમ આજથી શરૂ કરીને ભારતભરના 100 પસંદ કરાયેલા શહેરોમાં હાથ ધરવામાં આવશે જે 12મી ઓગસ્ટ, 2020ના રોજ થિરુવનંતપુરમ ખાતે સમાપન કાર્યક્રમ સાથે સમાપ્ત થશે.
| 6 | NIv2 | task1034_pib_translation_hindi_gujarati | fs_opt | [
-0.10927891731262207,
0.22161032259464264,
0.10096410661935806,
0.04808540642261505,
-0.3898133635520935,
-1.7175443172454834,
0.45105013251304626,
0.39914071559906006,
0.28145965933799744,
-0.7789786458015442,
-0.30558687448501587,
0.011043696664273739,
-0.7131443619728088,
0.577513098716... |
Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: வங்கிச் சேவைகளை பெறாதவர்களுக்கு நிதி உள்ளடக்கத்திற்கான தடைகளை நீக்குவது; வங்கிச் சேவைகளை வீடுகளின் வாசலிலேயே அளிப்பது அதன் மூலம் செலவுகளை குறைப்பது ஆகியவை இந்த திட்டத்தின் நோக்கமாகும்.
Output: | ‘‘తక్కువ నగదు’’ తో కూడిన ఆర్థిక వ్యవస్థ ను ఆవిష్కరించాలనే ప్రభుత్వ దార్శనికత కు ఈ పథకం అండగా నిలబడనుంది. | 3 | NIv2 | task1075_pib_translation_tamil_telugu | zs_opt | [
0.1133347600698471,
0.8377660512924194,
-0.11300709843635559,
0.3586542010307312,
0.6820473670959473,
-1.1479542255401611,
0.936522364616394,
0.667415201663971,
0.22668860852718353,
0.47019022703170776,
-0.15487413108348846,
0.2081916630268097,
-0.6376593708992004,
-0.070142462849617,
-0... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Example solution: 52% of computer users are Internet literate.
Example explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Problem: ۷.
| Solution: 7 Clean your nose | 5 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-1.0310263633728027,
0.6967049837112427,
0.07765991985797882,
-0.37775468826293945,
-0.10907502472400665,
-0.4167433977127075,
0.9073965549468994,
0.5552694201469421,
1.2246414422988892,
0.2746444642543793,
-0.1793689876794815,
0.4007195234298706,
-0.4995773434638977,
-0.20420658588409424,... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Q: PersonX earns PersonX's bread
A: | successful | 4 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.03693610802292824,
0.8859503269195557,
-0.05551084876060486,
-0.8919243812561035,
-1.174177646636963,
0.08240541070699692,
1.3347176313400269,
0.5839861631393433,
0.037256382405757904,
-1.1101006269454956,
0.030229324474930763,
-0.3432691991329193,
-0.6492809057235718,
0.452957510948181... |
Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Lindsay Anderson was very much a European film maker , whereas the likes of David Lean , Ridley Scott and Alan Parker make spectacular movies involving visuel scope Anderson`s movie are more about social commentary and subtext , so much so that the message often ends up taking over the entire film whose primary function should be to entertain the audience What you think of IF comes down to what you think of British film makers . I`m very much of the view that cinema should be a universial medium ( The best Brit movie makes are those who try to emulate Hollywood in my opinion ) , if you want to send a message try pony express , and I find the movie dated , pretentious and too set in the 1960s . 1968 was the summer of love and the year of student rebellion in France . You can just imagine every single French leftist worshipping this movie especially the climax . French new wave film makers will also admire the abstract surrealism of some scenes but a mainstream international will dislike it , and many will dislike it intensely
Output: | negative | 3 | NIv2 | task284_imdb_classification | zs_opt | [
-0.21299698948860168,
0.2190570831298828,
0.04509904608130455,
-0.1757040172815323,
-0.14751189947128296,
0.1646985411643982,
0.33886027336120605,
0.513383686542511,
0.32742518186569214,
0.10941135883331299,
-0.12115437537431717,
0.24851837754249573,
-0.5892527103424072,
-0.165207609534263... |
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 PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. 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.
One example is below.
Q: Head: PersonX is at PersonY's friend's house<sep>Tail: to walk up to PersonY's friend's house
A: Yes
Rationale: This is a good example. PersonX is at PersonY's friend's house. But before, PersonX needed to walk up to PersonY's friend's house.
Q: Head: PersonX arrives to the restaurant<sep>Tail: Social
A: | No | 9 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.7787027359008789,
-0.024119161069393158,
0.11307163536548615,
0.09575071930885315,
-0.32110702991485596,
-0.6371590495109558,
1.2692711353302002,
0.8239762187004089,
-0.9065870642662048,
-0.30029380321502686,
-0.26048702001571655,
-0.47204798460006714,
-0.6326700448989868,
-0.04161614924... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
These have been the most important moments in the Council' s expression of its political will to establish an area of freedom, security and justice in the European Union. | Estos han sido los momentos más importantes de la expresión, por parte del Consejo, de su voluntad política de establecer un espacio de justicia, seguridad y libertad en la Unión Europea. | 0 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
0.11553981900215149,
0.6649831533432007,
-0.1683386266231537,
0.25128549337387085,
-0.10034286975860596,
-0.6196491718292236,
0.6904650926589966,
0.17075718939304352,
-0.23781345784664154,
0.01914464309811592,
-0.1461952179670334,
-0.26599544286727905,
-0.45856666564941406,
0.0448107048869... |
Given the task definition and input, reply with output. In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: The cyclotron ion resonance by Fourier transform is the basis of:
Options: <0> A mass ionization system useful for elementary analysis. <1> A system of atomization that is applied in atomic absorption for elements capable of generating hydrides. <2> A mass analyzer. <3> A system for introducing the sample in plasma emission spectrometry. <4> A detector system in mass spectrometry.
| pharmacology | 5 | NIv2 | task1434_head_qa_classification | zs_opt | [
0.27611836791038513,
0.36383193731307983,
-0.2817918062210083,
-0.059414513409137726,
0.17605409026145935,
-0.5509443283081055,
0.22718344628810883,
0.5081595182418823,
0.4972746968269348,
0.18071258068084717,
-0.8409058451652527,
-0.1631440818309784,
0.16438713669776917,
-0.25666195154190... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Q: Now smoke your health away.
A: | دخن سجائرك بعيدا | 4 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.2733863890171051,
1.1855310201644897,
0.10076891630887985,
-1.6405980587005615,
-0.5553988814353943,
-0.5898536443710327,
0.23308628797531128,
-0.14375805854797363,
0.4229852855205536,
-0.4090854525566101,
0.08753198385238647,
0.2392277717590332,
-0.7159711718559265,
-0.8761078119277954,... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Mais para un estraño semella tan impenetrábel coma a muralla chinesa.
Student: | A uno sguardo esterno però può sembrare impenetrabile come la Grande Muraglia cinese. | 6 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.4546061158180237,
1.4140324592590332,
0.2692902088165283,
-0.7400499582290649,
-0.20034633576869965,
-1.31402587890625,
-0.2809908092021942,
0.6381821632385254,
-0.4491078853607178,
0.18404263257980347,
-0.29963478446006775,
0.22907745838165283,
-0.6869003772735596,
-0.12556633353233337... |
Teacher: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Teacher: Now, understand the problem? If you are still confused, see the following example:
That is what?
Solution: Kí nìyẹn?
Reason: The English sentence is properly translated to the Yoruba language as both the sentences convey the same meaning and both the sentences are in sentence case and it includes punctuation marks as well.
Now, solve this instance: Poverty Alleviation President Buhari restated his commitment towards lifting 100 million Nigerians out of poverty.
Student: | Ààrẹ Buhari tún sàlàyé lórí ìpinnu rẹ̀ láti gbógun ti ìsẹ́ àti òṣì lórílẹ̀ èdè Nàíjíríà. | 2 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
-0.29288625717163086,
0.25981807708740234,
0.35228246450424194,
-0.3708915114402771,
0.22438061237335205,
-0.02017565444111824,
0.5307909846305847,
0.8286134600639343,
0.07574326545000076,
-0.5359364748001099,
-0.23311962187290192,
0.29404163360595703,
-0.8241786956787109,
0.06151285395026... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: While the mixing strategy compensates for most of the gap between the Fr-De* and the Fr*-De (3.01 $\rightarrow $ 0.17) in the De $\rightarrow $ Fr case, the resulting PSEUDOmix still shows lower BLEU than the target-originated Fr-De* corpus. We thus enhance the quality of the synthetic examples of the source-originated Fr*-De data by further training its mother translation model (En $\rightarrow $ Fr). As illustrated in Figure 2 , with the target-originated Fr-De* corpus being fixed, the quality of the models trained with the source-originated Fr*-De data and PSEUDOmix increases in proportion to the quality of the mother model for the Fr*-De corpus. Eventually, PSEUDOmix shows the highest BLEU, outperforming both Fr*-De and Fr-De* data. As presented in Table 6 , we observe that fine-tuning using ground truth parallel data brings substantial improvements in the translation qualities of all NMT models. Among all fine-tuned models, PSEUDOmix shows the best performance in all experiments. This is particularly encouraging for the case of De $\rightarrow $ Fr, where PSEUDOmix reported lower BLEU than the Fr-De* data before it was fine-tuned. Even in the case where PSEUDOmix shows comparable results with other synthetic corpora in the Pseudo Only scenario, it shows higher improvements in the translation quality when fine-tuned with the real parallel data.
Question: How many improvements on the French-German translation benchmark?
A: | one | 4 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.1112644374370575,
0.05703670531511307,
-0.6047110557556152,
-0.28703075647354126,
-0.24139747023582458,
0.5465484261512756,
1.0594041347503662,
0.8084129095077515,
0.9032882452011108,
0.4676373600959778,
-0.8403750658035278,
0.3989989757537842,
-0.8739206790924072,
0.780881941318512,
... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Teacher: Now, understand the problem? Solve this instance: Title: Bill's Bananas. Sentence 1: Bill felt like a cartoon character for the rest of the day. Sentence 2: He didn't noticed and slipped on the peel. Sentence 3: He went to the kitchen to eat some bananas. Sentence 4: He peeled a banana and dropped the peel. Sentence 5: Bill was hungry today.
Student: | 53421 | 6 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.19173002243041992,
0.2960561215877533,
0.049001991748809814,
-0.5329835414886475,
-0.14064975082874298,
0.13201749324798584,
0.7774009704589844,
0.21793636679649353,
-0.40681466460227966,
-0.10866521298885345,
-0.853471040725708,
-0.22994564473628998,
-0.7720645070075989,
0.161394938826... |
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it. The "no sentiment expressed" label should be assigned to the reviews where the given aspect didn't discuss in the text.
Example Input: نرمه و بدون قنده؛ برای عوض شدن طعم دهان، عالیه.<sep>Question: نظر شما در مورد عطر، بو، و طعم این آدامس و خوشبو کنندهی دهان چیست؟
Example Output: no sentiment expressed
Example Input: خیلی ارزون و خوشمزه است. من شکلات تلخ خیلی دوست دارم. قبلا هم از اینا گرفته بودم.<sep>Question: نظر شما در مورد عطر، بو، و طعم این شکلات، تافی و آبنبات چیست؟
Example Output: positive
Example Input: بوی تندی داشت و با وجودیکه سعی شده بود با مزه دهنده ها این بوی نامطبوع ذاتی کیلکا کاهش پیدا کنه ولی متاسفانه تلاشی نافرجام بود.<sep>Question: نظر شما در مورد کیفیت و تازگی این ماهی، میگو و خاویار چیست؟
Example Output: | no sentiment expressed
| 3 | NIv2 | task524_parsinlu_food_aspect_classification | fs_opt | [
-0.4625650644302368,
0.13212411105632782,
0.04727446287870407,
-0.20907601714134216,
-0.1384272575378418,
-0.059289053082466125,
1.2736248970031738,
0.5168603658676147,
0.14121681451797485,
-0.027318591251969337,
-0.06601916253566742,
-0.14835014939308167,
-0.5395243763923645,
0.2205234467... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
One example is below.
Q: Review: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Summary: Cat hates them
A: True
Rationale: The answer is True. Because it's a correct summary where the owner mentioned their cat hated the product.
Q: Reviews: Cute but not useful. My iphone lightning plug tip usually ends up totally inside the animal's mouth so I can't plug the tip into my phone. I have to carefully tease it back out to avoid yanking the cord and damaging it. So annoying and more bothersome. Great idea at first glance, but I would not recommend this type of product.
Summary: The Dual Ports will be nice for charging other devices maybe
A: | False | 9 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.772723913192749,
-0.13603825867176056,
-0.49013787508010864,
-0.4638105630874634,
-0.12634167075157166,
-0.6712985038757324,
0.0853903591632843,
0.8965274691581726,
-0.9725817441940308,
0.5089892745018005,
-0.16644011437892914,
0.15257060527801514,
-0.42217952013015747,
-0.1942262947559... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Ex Input:
and all night long the Gadfly lay alone in the darkness, and sobbed.
Ex Output:
در تمام طول شب خرمگس در تاریکی آرمید و هق هق کنان گریست.
Ex Input:
You thought you did not let me know that dear worry of yours,
Ex Output:
گمان میکردید که نمیگذارید من از آن نگرانی با ارزشتان سر در آوردم،
Ex Input:
Come on, said Lucrezia.
Ex Output:
| لوکر تزیا گفت بیا برویم
| 1 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.5517773628234863,
0.8886152505874634,
-0.2685539722442627,
-0.6427116990089417,
-1.2019641399383545,
-0.19413097202777863,
0.8868011832237244,
0.5400969386100769,
-0.15446317195892334,
-0.17655599117279053,
-1.1961414813995361,
-0.0037624696269631386,
-0.23130863904953003,
0.19674111902... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX breaks PersonX's wrist<sep>Tail: to go to the clinic
A: | Yes | 7 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
-0.06668715924024582,
0.46429359912872314,
0.41923779249191284,
-0.4843537211418152,
-0.38516727089881897,
-0.5714640617370605,
1.1632484197616577,
-0.08989857882261276,
-0.6063027381896973,
-0.5567653179168701,
-0.13751092553138733,
-0.2864750325679779,
-0.6813271045684814,
0.587967634201... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
A room full of people prevented him from telling her everything, but he needed her to know he wasn't going anywhere.
Original
William, who had been awestruck, finally understood what was happening, and began pelting the glass with bullets.
Original
Just to sell more tickets.
| Original
| 0 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.40170425176620483,
0.4941295385360718,
0.5832962989807129,
0.04821113497018814,
-0.10767821967601776,
-0.3597196340560913,
0.5536649823188782,
0.37623685598373413,
0.640348494052887,
0.21096499264240265,
-0.8426412343978882,
-0.26577457785606384,
-0.357258141040802,
-0.07332421839237213... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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.
Problem:Мечката минала през снега.
Solution: | Стъпнал е по снега и е вървял по него. | 8 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.06233740970492363,
0.34121671319007874,
-0.5332350730895996,
-0.24599315226078033,
0.3499980568885803,
-0.28657209873199463,
0.7585228085517883,
0.5288296341896057,
0.8503404855728149,
-0.9797747135162354,
-0.6807878017425537,
0.640669584274292,
-0.813321590423584,
0.5793071389198303,
... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
One example: Amends the Water Resources Development Act of 1999 to: (1) authorize appropriations for FY 1999 through 2009 for implementation of a long-term resource monitoring program with respect to the Upper Mississippi River Environmental Management Program (currently, such funding is designated for a program for the planning, construction, and evaluation of measures for fish and wildlife habitat rehabilitation and enhancement); (2) authorize the Secretary of the Army to carry out modifications to the navigation project for the Delaware River, Pennsylvania and Delaware, if such project as modified is technically sound, environmentally (currently, economically) acceptable, and economically justified; (3) subject certain previously deauthorized water resources development projects to the seven-year limitation governing project deauthorizations under the Act, with the exception of such a project for Indian River County, Florida; (4) except from a certain schedule of the non-Federal cost of the periodic nourishment of shore protection projects constructed after December 31, 1999, those projects for which a District Engineer's Report has been completed by such date; (5) require that the project cooperation agreement for the Comite River Diversion Project for flood control include a provision that specifies that any reduction in the non-Federal share that results from certain modifications be credited toward the share of project costs to be paid by the Amite River Basin Drainage and Water Conservation District; (6) allow the Secretary to provide additional compensation to Chesapeake City, Maryland (currently, to the City of Chesapeake, Maryland) for damage to its water supply resulting from the Chesapeake and Delaware Canal Project; (7) provide for the submission of certain reports on water resources development projects by the Secretary, notwithstanding Federal reporting termination provisions; and (8) authorize and provide for an authorization of appropriations for the existing program for the safety and operations expenses of the Federal Railroad Administration, and make available for obligation funds currently appropriated for such program.
Solution is here: To make technical corrections to the Water Resources Development Act of 1999.
Explanation: This Bill makes corrections to the Water Resources Development Act of 1999, hence the generated title is correct.
Now, solve this: Directs the Secretary of Commerce, if the Secretary determines that there is sufficient manufacturer interest and that manufacturers will provide fees so the program will operate without Federal Government cost, to establish a toll-free number pilot program solely to help inform consumers whether a product with a retail value of at least $250 is made in America.
Requires the Secretary to contract for the establishment and operation of such pilot program. Requires consumers to be informed that registration does not mean that: (1) the product is endorsed or approved by the Government; (2) the Secretary has conducted any investigation to confirm that the product meets the definition of this Act of American made; or (3) the product contains 100 percent U.S. content.
(Sec. 2) Directs the Secretary to propose regulations to: (1) establish a voluntary product registration procedure; (2) establish and collect a fee to cover registration costs; (3) establish the pilot program; and (4) assess manufacturer interest in the program.
Imposes civil monetary penalties for knowingly registering a product that is not American made.
Solution: | To establish a toll free number in the Department of Commerce to assist consumers in determining if products are American-made. | 6 | NIv2 | task1659_title_generation | fs_opt | [
0.3581114113330841,
-0.08397909998893738,
-0.26485294103622437,
0.011354349553585052,
0.8296887278556824,
-0.42289310693740845,
0.586590051651001,
0.9905148148536682,
-0.4312037229537964,
0.5765094757080078,
0.6172763109207153,
0.5034387111663818,
-0.5517345070838928,
-0.27594178915023804,... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
--------
Question: [170, 117, 110, 6]
Answer: [85, 352, 55, 3]
Question: [2, 195, 21, 64, 94]
Answer: [1, 586, 64, 32, 47]
Question: [47, 190, 171, 171, 17]
Answer: | [142, 95, 514, 514, 52]
| 7 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2868918180465698,
0.5289456844329834,
0.32910799980163574,
-0.7292153835296631,
-0.3475826382637024,
-0.01876581460237503,
1.4613037109375,
0.06916388869285583,
-0.35794371366500854,
0.36021700501441956,
-1.026287317276001,
-0.1857915222644806,
-0.847501814365387,
-0.2709585726261139,
... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Example Input: A named third party does receive your unspecified personal information for an additional (non-basic) service or feature. You can choose not to use the service or feature for the collection or sharing of your information.
Example Output: Generic personal information
Example Input: The site collects your IP address or device IDs for an unspecified purpose. Collection happens on the website, and your data is aggregated or anonymized.
Example Output: IP address and device IDs
Example Input: You can make no specified choices about the use of cookies and tracking elements by an unspecified party for a basic service or feature.
Example Output: | Cookies and tracking elements
| 3 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.777321994304657,
0.13419514894485474,
-0.5543609261512756,
0.03078388422727585,
-0.520311176776886,
-0.5430235862731934,
0.6618542075157166,
0.44118666648864746,
-0.10876379907131195,
0.7442605495452881,
0.2968969941139221,
-0.05927988514304161,
-0.33552080392837524,
-0.7665086388587952... |
Teacher:Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Teacher: Now, understand the problem? Solve this instance: informative
Student: | uninformative | 6 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.5175928473472595,
1.3644298315048218,
0.8756765127182007,
-0.24946178495883942,
-0.6148883104324341,
-1.5080872774124146,
0.03590359538793564,
0.3651502728462219,
0.5560809969902039,
-0.8201764822006226,
-0.44570282101631165,
-0.6151912212371826,
-1.2223057746887207,
-0.27945947647094727... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Example: 6, 14, ['9545', '5185', '1667', 'w', 's', '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', '7103', 'A', '2381', '5037', 'X', '4487', 'd']
Output: 9559TuU6843Ll63657103
Here, concatenating all the elements between the 6th element and 14th element gives '9559TuU6843Ll63657103'.
New input case for you: 4, 8, ['1717', 'j', 'I', 'Q', '1091', 'k', 'z', 'Y', 'E', '8213', '8515', '4589', 'N', '6107']
Output: | Q1091kzY | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.6049396991729736,
-0.01291666366159916,
-0.6308798789978027,
-0.01673547923564911,
0.12754741311073303,
-0.15283001959323883,
0.24491390585899353,
0.2893422842025757,
-1.07947838306427,
-0.12530003488063812,
-0.619321346282959,
-0.1534862369298935,
0.16196812689304352,
0.2069125771522522... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Example Input: பூடான் அரசும் தனது தூதரகத்தை நேற்று குவஹாத்தியில் திறந்திருப்பது கண்டு நான் பெருமகிழ்ச்சி அடைகிறேன்.
Example Output: ଭାରତର ବିକାଶ ଗାଥାରେ ଆହୁରି ଅଧିକ ଗତି ସେତେବେଳେ ଆସିବ ଯେତେବେଳେ ଦେଶର ପୂର୍ବୋତ୍ତରରେ ରହୁଥିବା ଲୋକଙ୍କର, ଏଠାକାର ସମାଜର, ଏହି ସଂପୂର୍ଣ୍ଣ କ୍ଷେତ୍ରର ସନ୍ତୁଳିତ ବିକାଶ ମଧ୍ୟ ଦ୍ରୁତ ଗତିରେ ହେବ ।
Example Input: பழங்குடியினர் அதிகம் வாழும் பகுதிகளில், பழங்குடியின மாணவர்களுக்குத் தரமான, உயர்தொடக்க, உயர்நிலை மற்றும் மேல்நிலைக் கல்வி வழங்க 400 ஏகலைவா மாதிரி உறைவிடப் பள்ளிகளையும், பிரதமர் நரேந்திர மோடி தொடங்கி வைப்பார்.
Example Output: “ନୂତନ ଦିଗନ୍ତ ଆବିଷ୍କାର କରିବାର ରହିଛି ଏବଂ ନୂତନ ସ୍ଥାନକୁ ଯିବାର ଅଛି । ଆମେ ଏଥିପାଇଁ ନିଜକୁ ପ୍ରସ୍ତୁତ କରିବାର ଅଛି ଏବଂ ସଫଳତାର ନୂତନ ସୋପାନ ଆରୋହଣ କରିବାର ଅଛି ।”
Example Input: இருநாடுகளுக்கும் இடையே இருதரப்பு ஒத்துழைப்பை வலுப்படுத்தவும் இந்த புரிந்துணர்வு ஒப்பந்தம் உதவும்.
Example Output: | ପ୍ରଧାନମନ୍ତ୍ରୀ ଶ୍ରୀ ନରେନ୍ଦ୍ର ମୋଦୀ ନବରୋଜ ଅବସରରେ ଅଭିନନ୍ଦନ ଜଣାଇଛନ୍ତି ।
| 3 | NIv2 | task1074_pib_translation_tamil_oriya | fs_opt | [
-0.4533357620239258,
0.22888505458831787,
-0.4527929425239563,
-0.03032984584569931,
0.010723709128797054,
-0.5707582235336304,
0.549416184425354,
1.0994791984558105,
-0.2826492488384247,
0.04562826454639435,
-0.41218501329421997,
-0.012322669848799706,
-0.5174299478530884,
-0.226674139499... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Q: There are no attendees who have accepted "dinner".
A: | agent | 4 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.6615924835205078,
0.5516483783721924,
-0.06361794471740723,
-0.22818848490715027,
-0.5300321578979492,
0.449937641620636,
0.6795161962509155,
-0.07767187058925629,
0.2307928204536438,
-0.07722499221563339,
0.23785331845283508,
0.0040875873528420925,
-1.3467185497283936,
0.50963485240936... |
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a word e.g 'nicr' is a typo of the word 'nice'. You need to identify the typo in the given sentence. To do this, answer with the word containing the typo.
A bsaeball player holding a bat on a field. | bsaeball | 0 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.5235508680343628,
0.4181498885154724,
-0.17305421829223633,
0.6849051117897034,
0.4264693260192871,
-1.3469538688659668,
1.1185119152069092,
-0.016285758465528488,
0.11677184700965881,
0.11658480763435364,
-0.2531256675720215,
-0.05656252056360245,
-0.6960414052009583,
-0.26662015914916... |
Given the task definition and input, reply with output. A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: In de derde rij van de E en O zijden van het monument zijn er twee afzonderlijke gaten naar binnen hellend gedeelte, om plengoffers (funeraire offers van vloeistoffen, in het bijzonder wijn) bij de overledene te maken.
| Dutch | 5 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
-0.23245377838611603,
0.598520815372467,
0.2777327299118042,
-0.13496848940849304,
0.3717823922634125,
-1.310438632965088,
-0.3849106431007385,
0.6153948903083801,
0.2114928960800171,
0.0856279581785202,
0.49011075496673584,
0.63514244556427,
0.3010271191596985,
0.3776586055755615,
0.080... |
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".
Example: 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.
Example solution: yes
Example explanation: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Problem: Abstract: Mucolipidosis type IV (MLIV) is an autosomal recessive lysosomal storage disorder often characterized by severe neurodevelopmental abnormalities and neuro-retinal degeneration. Mutations in the TRPML1 gene are causative for MLIV. We used lead optimization strategies to identify--and MLIV patient fibroblasts to test--small-molecule activators for their potential to restore TRPML1 mutant channel function. Using the whole-lysosome planar patch-clamp technique, we found that activation of MLIV mutant isoforms by the endogenous ligand PI(3,5)P2 is strongly reduced, while activity can be increased using synthetic ligands. We also found that the F465L mutation renders TRPML1 pH insensitive, while F408Δ impacts synthetic ligand binding. Trafficking defects and accumulation of zinc in lysosomes of MLIV mutant fibroblasts can be rescued by the small molecule treatment. Collectively, our data demonstrate that small molecules can be used to restore channel function and rescue disease associated abnormalities in patient cells expressing specific MLIV point mutations.. Title: A small molecule restores function to TRPML1 mutant isoforms responsible for mucolipidosis type IV.
| Solution: yes | 5 | NIv2 | task1587_scifact_classification | fs_opt | [
0.364518404006958,
0.0953737422823906,
-0.6755961179733276,
0.514680027961731,
1.1651959419250488,
0.011097369715571404,
0.05580930411815643,
0.8309190273284912,
-0.010035468265414238,
-0.15891537070274353,
-0.7670775651931763,
0.014749137684702873,
-0.641287088394165,
0.2401372194290161,
... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Input: Encontram-se no meio, e criam partículas subatómicas como o quark charm e o lépton tau.
Output: | Spotykają się w środku, tworząc cząsteczki subatomowe, jak kwark powabny czy lepton tau. | 2 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.18378983438014984,
1.091172456741333,
-0.6435490846633911,
-1.0961923599243164,
-0.4387226700782776,
0.4155036509037018,
0.5100070238113403,
-0.21530809998512268,
0.7772327661514282,
0.2173888087272644,
-0.30433833599090576,
0.14931079745292664,
-0.4565078616142273,
0.1482785940170288,
... |
You will be given a definition of a task first, then some input of the task.
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 can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. 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.
Head: PersonX accepts PersonY offer<sep>Tail: to waiting for new offer
Output: | No | 1 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.3007863461971283,
-0.16244164109230042,
0.4467881917953491,
0.41438114643096924,
-0.030641132965683937,
-0.8104330897331238,
0.3544546961784363,
0.9737741351127625,
-0.7797960638999939,
-0.0043863351456820965,
-0.4169842004776001,
-0.5291633605957031,
-0.13175559043884277,
-0.13772566616... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: A person ridding a white horse with reflective clothing on. Sentence 2: someone goes horseback riding
| someone rides a horse in a competition | 5 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.5663625001907349,
0.8613085746765137,
0.2576921582221985,
-0.08617884665727615,
-0.5305929780006409,
-0.2177971750497818,
-0.2090253233909607,
0.9758012294769287,
0.39475807547569275,
-0.6970883011817932,
-0.9660500288009644,
0.032678913325071335,
-0.21495750546455383,
0.092664003372192... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
Input: Consider Input: Passage: Memorials were erected in thousands of villages and towns. Close to battlefields, those buried in improvised burial grounds were gradually moved to formal graveyards under the care of organisations such as the Commonwealth War Graves Commission, the American Battle Monuments Commission, the German War Graves Commission, and Le Souvenir français. Many of these graveyards also have central monuments to the missing or unidentified dead, such as the Menin Gate memorial and the Thiepval Memorial to the Missing of the Somme. In 1915 John McCrae, a Canadian army doctor, wrote the poem In Flanders Fields as a salute to those who perished in the Great War. Published in Punch on 8 December 1915, it is still recited today, especially on Remembrance Day and Memorial Day. National World War I Museum and Memorial in Kansas City, Missouri, is a memorial dedicated to all Americans who served in World War I. The Liberty Memorial was dedicated on 1 November 1921, when the supreme Allied commanders spoke to a crowd of more than 100,000 people. The UK Government has budgeted substantial resources to the commemoration of the war during the period 2014 to 2018. The lead body is the Imperial War Museum. On 3 August 2014, French President Francois Hollande and German President Joachim Gauck together marked the centenary of Germany's declaration of war on France by laying the first stone of a memorial in Vieil Armand, known in German as Hartmannswillerkopf, for French and German soldiers killed in the war.
Question: What is the Great War also known as today?
Output: span
Input: Consider Input: Passage: Coming off their home win over the Chiefs, the Colts flew to FedExField for a Week 6 interconference duel with the Washington Redskins on Sunday night. Indianapolis delivered the game's opening punch as quarterback Peyton Manning found wide receiver Pierre Garçon on a 57-yard touchdown pass, but the Redskins answered with running back Ryan Torain getting a 9-yard touchdown run. In the second quarter, the Colts regained the lead as Manning hooked up with wide receiver Austin Collie on a 5-yard touchdown pass, followed by kicker Adam Vinatieri booting a 43-yard field goal. Washington began the third quarter with Torain's 1-yard touchdown run, yet Indianapolis replied with running back Joseph Addai's 13-yard touchdown run. The Redskins would continue to remain close as kicker Graham Gano got a 39-yard field goal. In the fourth quarter, the Colts continued to add onto their lead as Vinatieri got a 33-yard field goal. Washington tried to rally as quarterback Donovan McNabb completed an 8-yard touchdown pass to running back Keiland Williams, yet Indianapolis' defense held tough to preserve the victory. With the win, the Colts improved to 4-2 and remained in a tie atop the AFC South division.
Question: How many total touchdowns were scored in the game?
Output: number
Input: Consider Input: Passage: War between Phillip II's possessions and other countries led to a deterioration of Portugal's Empire, as with the loss of Hormuz to England, but the Dutch Empire was the main beneficiary. The VOC began immediately to prise away the string of coastal fortresses that, at the time, comprised the Portuguese Empire. The settlements were isolated, difficult to reinforce if attacked, and prone to being picked off one by one, but nevertheless the Dutch only enjoyed mixed success in its attempts to do so. Amboina was captured from the Portuguese in 1605, but an attack on Malacca the following year narrowly failed in its objective to provide a more strategically located base in the East Indies with favorable monsoon winds. The Dutch found what they were looking for in Jakarta, conquered by Jan Coen in 1619, later renamed Batavia after the putative Dutch ancestors the Batavians, and which would become the capital of the Dutch East Indies. Meanwhile, the Dutch continued to drive out the Portuguese from their bases in Asia. Malacca finally succumbed in 1641 , Colombo in 1656, Ceylon in 1658, Nagappattinam in 1662 and Cranganore and Cochin in 1662. Goa, the capital of the Portuguese Empire in the East, was unsuccessfully attacked by the Dutch in 1603 and 1610. Whilst the Dutch were unable in four attempts to capture Macau from where Portugal monopolized the lucrative China-Japan trade, the Japanese shogunate's increasing suspicion of the intentions of the Catholic Portuguese led to their expulsion in 1639. Under the subsequent sakoku policy, from 1639 till 1854 the Dutch were the only European power allowed to operate in Japan, confined in 1639 to Hirado and then from 1641 at Deshima. In the mid 17th century the Dutch also explored the western Australian coasts, naming many places.
Question: In which year did the attack on Malacca take place?
| Output: date
| 2 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.4226061999797821,
0.13823086023330688,
-0.38627997040748596,
0.2767423689365387,
0.6115041375160217,
-0.4373212158679962,
0.9735274314880371,
0.8655091524124146,
-0.36242416501045227,
0.08250190317630768,
-0.5466126203536987,
0.5529797077178955,
-0.7320865392684937,
0.33684736490249634,
... |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Letters
Example input: AMPLIACIÓ:El Suprem reconeix el dret de Santiago Vidal a reingressar a la carrera judicial però haurà de concursar per tenir plaça. El CGPJ haurà d'abonar-li l'any que no ha exercit com a jutge perquè la suspensió va acabar el febrer de 2018. ACN Madrid.-El Tribunal Suprem ha reconegut al jutge i exsenador d'ERC, Santiago Vidal, el dret de reingressar a la carrera judicial. El jutge podrà tornar a exercir però no podrà recuperar directament la plaça a l'Audiència de Barcelona, sinó que haurà de presentar-se al primer concurs que s'anunciï de places de la seva categoria. La sentència del Suprem també reconeix els "drets professionals de tot tipus, econòmics i administratius" i, per tant, el Consell General del Poder Judicial (CGPJ) haurà de pagar-li per l'any que no ha pogut exercir. La suspensió de Vidal dictada pel CGPJ era de tres anys (febrer 2015-2018) i el jutge va demanar poder reingressar al servei quan va acabar. El tràmit implicava obtenir primer una declaració d'aptitud per part de l'òrgan de govern dels jutges, que se li va denegar el març de 2018. Vidal, investigat al jutjat 13 de Barcelona, està citat com a testimoni aquest dijous al Suprem en el judici de l'1-O. La sala contenciosa administrativa ha reconegut el dret al jutge Santiago Vidal a reingressar a la carrera judicial. Vidal ha estat apartat des del febrer de 2015, quan el CGPJ el va suspendre de funcions i sou durant tres anys per una falta greu per haver participat en la proposta de redacció d'una constitució catalana. En aquell moment, però, es va descartar l'expulsió definitiva de Vidal i es va deixar en una suspensió. La suspensió es va acabar el passat 26 de febrer de 2018 i el jutge va demanar el reingrés. En data 8 de març, la comissió permanent del CGPJ li va denegar i es va basar en l'article 367.1 de la llei orgànica del poder judicial. Aquest article obliga que, amb caràcter previ, hi hagi una declaració d'aptitud per del CGPJ per autoritzar el seu retorn. El CGPJ va argumentar que durant els tres anys que havia estat apartat de la carrera judicial havia demostrat "falta de lleialtat a les institucions de l'Estat i la Constitució" i que la seva actuació implicava "una evident pertorbació a la reputació i imatge amb la que el Poder Judicial ha d'aparèixer per al compliment de les seves altes funcions en un estat democràtica social i de dret". Una sentència del TC canvia el marc normatiu. La situació, però, va canviar al desembre del 2018. El Tribunal Constitucional –a petició del Suprem pel cas d'un altre jutge que tenia sobre la taula i que també demanava el reingrés- va declarar que aquest article (el de la declaració d'aptitud) era inconstitucional. Per tant, dequeia la norma que havia usat el CGPJ per mantenir apartat el jutge Vidal. Davant d'aquesta nova situació legal, el jutge Vidal va tornar a demanar el reingrés. Va presentar un recurs contenciós-administratiu davant el Suprem contra l'acord de 8 de març de 2018 del Consell General del Poder Judicial que el mantenia apartat de la carrera judicial tot i que ja havia complert els tres anys de suspensió. Haurà de tornar a concursar per tenir plaça. Ara, el Suprem estima parcialment aquest recurs i reconeix el dret del jutge a reingressar perquè ja no és exigible la prèvia declaració d'aptitud després de la sentència del TC. Ara bé, no podrà recuperar immediatament la plaça que tenia assignada a l'Audiència de Barcelona i haurà de presentar-se al primer concurs que hi hagi places de la seva categoria disponibles (segons estableix l'apartat 2 de l'article 367). Això vol dir, doncs, que el jutge podria reincorporar-se en una plaça fins i tot fora de Catalunya. A més, la sentència apunta que estarà obligat a presentar-se a tots els concursos on s'anunciïn places de la seva categoria perquè, si no ho fa, quedaria en situació "d'excedència voluntària per interès particular". Pagar-li un any de sou. La sentència també reconeix els drets professionals "de tot tipus, econòmics i administratius" del jutge i, per tant, el CGPJ haurà d'abonar-li l'any que ha estat apartat de la carrera un cop ja s'havia acabat la seva suspensió (des del febrer de 2018). A la sentència, però, no es xifra la quantitat ja que haurà de ser l'òrgan de govern dels jutges qui li faci aquest abonament. Només es diu que la quantitat no haurà d'incloure interessos de demora. També es carreguen les despeses derivades del procés fins a un màxim de 3.000 euros al Consell General del Poder Judicial.
Example output: Politics
Example explanation: The text talks about suspension of former senator which matches correctly with the assigned lable as Politics.
Q: Singapore Airlines anuncia que dos dels cinc vols entre Barcelona i Singapur operaran sense escala. La companyia aèria respon positivament a la demanda presentada pel conseller de Territori. ACN Barcelona.-La companyia Singapore Airlines ha emès un comunicat aquest dimarts on anuncia que dos dels cinc vols que cobreixen setmanalment la ruta entre Barcelona i Singapur ho faran sense escala tècnica a l'aeroport de Milà. Aquesta decisió coincideix després que hagi passat una setmana des que el conseller de Territori i Sostenibilitat, Josep Rull, demanés a la companyia asiàtica que estudies la possibilitat de fer aquest vol directe i sense escala aprofitant la incorporació de l'aeronau Airbus A350-900, amb més autonomia de vol i més eficient energèticament. Els vols directes es posaran en marxa a partir del mes de juliol d'aquest any. El conseller Josep Rull va fer aquesta petició a Singapore Airlines el passat 3 d'abril coincidint amb l'arribada per primera vegada de l'aeronau A350-900 en la ruta entre Singapur i Barcelona. La companya asiàtica oferirà dos vols sense escala tècnica a Milà amb el nou A350-900 els divendres i dilluns entre Barcelona i Singapur i els dijous i diumenges entre Singapur i Barcelona. La resta de vols de la setmana continuaran operant amb l'escala tècnica a l'aeroport de Milà. Els vols amb aquesta escala seran els de dimecres, dijous i diumenges entre Barcelona i Singapur. Deryk Liew, director general de Singapore Airlines per Espanya i Portugal, ha manifestat que amb la recent arribada del A350-900 a l'aeroport del Prat permet a la companyia millorar el servei i ''satisfer les necessitats dels clients'' de la companyia. La nova flota A350-900 que va arribar a Barcelona per primera vegada en aquesta ruta el 3 d'abril passat, té capacitat per 253 passatgers en tres classes: 42 seients en classe 'business', 24 en la nova classe 'Premium Economy' i 187 seient en 'turista'.
A: | Culture | 3 | NIv2 | task1588_tecla_classification | fs_opt | [
-0.10822445899248123,
0.43875277042388916,
0.3157740831375122,
-0.5127953290939331,
0.6670026779174805,
-0.7002637386322021,
0.4732995927333832,
1.0436656475067139,
-0.14128060638904572,
0.13112160563468933,
0.11067988723516464,
0.5541020035743713,
-0.21305036544799805,
0.12276257574558258... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
See one example below:
Problem: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Solution: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Explanation: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: אבל אז תהינו האם זאת היא תופעה מקומית, או שהיא באמת גלובלית?
Solution: | اما ما نمی دانستیم که این کار تنها در همین محل انجام می شود ، یا این که جهانی است ؟ | 4 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.1223748922348022,
0.6083676815032959,
0.36550968885421753,
0.2943398952484131,
-0.3810126781463623,
-0.7924267649650574,
0.5558704733848572,
0.2438068389892578,
0.6569770574569702,
0.2642214298248291,
-0.9431310892105103,
1.0261178016662598,
-0.8342122435569763,
-0.11237701773643494,
... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM, finding probabilities etc. Each question has only one correct answer. This answer can be a positive or negative integer, a fraction or a decimal number. If the answer is a negative number use the hyphen (e.g. -42) symbol for the minus sign. For decimal numbers, do not add extra zeros after the decimal point. For fractional numbers, separate the numerator and denominator using a forward slash (e.g. 3/25).
((-3)/9)/(7/(-3))
1/7
Calculate prob of sequence tw when two letters picked without replacement from {t: 5, p: 1, y: 6, w: 4, h: 1, s: 3}.
1/19
What is seventy-seven halves of a decade in months?
| 4620
| 0 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.5292166471481323,
0.2874784767627716,
0.07405687868595123,
-0.039165958762168884,
0.2984684705734253,
-0.8315573334693909,
0.3755963444709778,
0.8672246336936951,
0.01364771369844675,
-0.7307620048522949,
-0.7045292258262634,
-0.11149609088897705,
-0.36860042810440063,
0.257836759090423... |
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.
Q: அந்த சிறுவன் அவனது வீட்டுக்கு வெளியே பூட்டப்பட்டான்
அவன் திறந்த ஜன்னல் வழியாக உள்ளே நுழைந்தான்
A: | effect | 4 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.44278156757354736,
0.9039755463600159,
0.11537601798772812,
-0.2468932718038559,
-0.3473362624645233,
-0.31406930088996887,
0.07513183355331421,
0.7171967029571533,
0.06594342738389969,
0.0068806749768555164,
-0.5877046585083008,
0.9904637932777405,
-1.122788906097412,
0.059832811355590... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: Consider Input: அங்கு திரண்டிருந்தோரிடையே உரையாற்றிய பிரதமர், நாட்டுக்கு மிகப்பெரும் பங்களிப்பைச் செய்த தீரமிக்க பல தலைவர்களின் பிறப்பிடம் கான்பூர் என்று குறிப்பிட்டார்.
Output: ഒരു പൊതുയോഗത്തെ അഭിസംബോധന ചെയ്യവെ, രാജ്യത്തിന് അത്യധികം സംഭാവനകള് നല്കിയ നിരവധി ധീരനേതാക്കളുടെ ജന്മ സ്ഥലമാണ് കാണ്പൂരെന്ന് പ്രധാനമന്ത്രി പറഞ്ഞു.
Input: Consider Input: கடற்படையில் பணியாற்றும் இந்திய இளம்பெண்கள் மேற்கொண்ட கடல் மார்க்கமாக உலகை சுற்றிவரும் பயணம் "நவிகா சாகர் பரிக்ரமா" மகத்தான வெற்றி பெற்றதாகவும், நலிவடைந்த பின்னணியில் இருந்து வந்த இந்திய விளையாட்டு வீரர்களின் சாதனைகள் மெச்சத்தக்கதாக உள்ளதாகவும் பிரதமர் திரு.
Output: ഇന്ത്യ ആത്മവിശ്വാസം കൊണ്ട് നിറഞ്ഞ് തുളുമ്പുകയാണെന്ന് ഊന്നിപ്പറഞ്ഞ പ്രധാനമന്ത്രി, ആറ് യുവ വനിതാ നാവിക ഓഫീസര്മാര് നടത്തിയ നാവിക സാഗര് പരിക്രമയുടെ വിജയം, എളിയ പശ്ചാത്തലങ്ങളില് നിന്ന് വന്ന ഇന്ത്യന് യുവ കായിക താരങ്ങളുടെ നേട്ടങ്ങള് മുതലായവ പരാമര്ശിച്ചു.
Input: Consider Input: நாட்டு மக்கள் இதனை வெளிப்படுத்தியுள்ளனர்.
| Output: രാജ്യത്തെ ജനങ്ങള് ഇത് കാട്ടിതന്നിട്ടുണ്ട്.
| 2 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
-0.49618154764175415,
-0.3289760947227478,
-0.7454379200935364,
-0.36273548007011414,
0.08293242007493973,
-0.41849666833877563,
-0.16533882915973663,
0.33029597997665405,
-0.3920302093029022,
0.29510554671287537,
-0.20361065864562988,
0.13208620250225067,
-0.571082353591919,
-0.0293347444... |
Given the task definition and input, reply with output. In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
[[9, 45], [37, -38, 28], [-55, -37, -30, 40], [-31, -66]]
| [-40, -96, -2, 40] | 5 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.313423216342926,
0.334933876991272,
-0.27491387724876404,
-0.22865208983421326,
-0.09878160059452057,
0.46255117654800415,
0.3533468246459961,
0.3962113857269287,
0.0008279802277684212,
0.14287321269512177,
-0.6567893624305725,
0.1482800841331482,
-0.08085444569587708,
-0.243755400180816... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Input: The plane you came in, cars, the seats that you're sitting on.
Output: | ここに来るときに乗った飛行機や車座っている椅子 | 2 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.318120539188385,
-0.20544758439064026,
-0.288569837808609,
-0.08505068719387054,
0.11190488934516907,
-0.2716309428215027,
0.21327078342437744,
-0.07875242829322815,
0.5652180910110474,
-0.25185778737068176,
-0.06084741652011871,
0.03966701775789261,
0.0683320164680481,
0.20874691009521... |
Q: 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.
過去にも2006年9月に、マイクロソフトは2006年1月1日以前に作られたすべてのXbox360本体の修理代を免除し、既に払われたあらゆる代金を返金した。
A: | Noong Setyembre, 2006, ang Microsoft ay di nagpabayad ng kumpuni sa lahat ng Xbox 360 consoles na ginawa bago mag ika-1 ng Enero 2006 at isinauli ang anumang bayad na pinagbayaran. | 7 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.37239569425582886,
-0.22175286710262299,
-0.5621221661567688,
-0.036972351372241974,
-0.20897182822227478,
-0.6332128047943115,
1.1196314096450806,
-0.0030892728827893734,
0.013544692657887936,
-0.7910064458847046,
-0.32307931780815125,
0.16702543199062347,
-0.6551291346549988,
0.375387... |
Q: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
Sentence1: He loved a girl who lived in Louisiana. Sentence2: He decided he needed to move. Sentence3: He moved to be with his love. Sentence4: The man moved to Kentucky.
A: | 1, There was a man from kentucky. | 7 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.6526074409484863,
0.549549400806427,
0.1823265254497528,
-0.8706583976745605,
0.06375645101070404,
-0.2890372574329376,
0.10036642849445343,
0.5004045963287354,
-0.01231879647821188,
0.3451964259147644,
-0.4272841811180115,
-0.3809143304824829,
-0.5432268381118774,
0.30256450176239014,
... |
Construct a question that every answer in the list is correct and reasonable for it.
One example: umbrella, sunscreen, sun hat, sunglasses, cover up, shade
Solution is here: at the beach, name something that might protect you from sun.
Explanation: umbrella, sunscreen, sun hat, sunglasses, cover up and shade can provide protection for the people at the beach
Now, solve this: valentine's day, anniversary, after argument, mother's day, birthday
Solution: | name an occasion when men buy roses. | 6 | NIv2 | task821_protoqa_question_generation | fs_opt | [
0.9398725032806396,
0.9789388179779053,
-0.8466706275939941,
-0.4324912130832672,
-0.1828589141368866,
-2.003278970718384,
-0.6155295968055725,
0.5402916669845581,
0.6132622361183167,
-0.38960379362106323,
0.14241299033164978,
0.04592352733016014,
-0.6975315809249878,
-0.43139007687568665,... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Logo pídelles aos seus xefes que valoren o creativos e innovadores que son.
Student: | その後回答者の創造性と独創性について上司に評価してもらいます | 6 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-1.1262518167495728,
0.23914659023284912,
0.4962261915206909,
-0.9372117519378662,
-0.3010304570198059,
-0.6810507774353027,
0.09639265388250351,
0.29232728481292725,
-0.022944970056414604,
-0.9321508407592773,
0.2631017565727234,
-0.31116044521331787,
-0.43376317620277405,
-0.270762175321... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
Example: 03:40:40 PM doesn't occur between 5:35:38 and 07:58:59 AM
Example solution: False
Example explanation: The output of 'False' is correct as the input statement is false, since 03:40:40 PM occurs after 07:58:89 AM and not between 5:35:38(AM) and 07:58:59 AM
Problem: Sep 26, 2013 occurs after Dec 07, 2006
| Solution: True | 5 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.10408250987529755,
-0.16085007786750793,
-0.6204979419708252,
0.539262056350708,
-0.3640489876270294,
-0.38841134309768677,
-0.20347419381141663,
0.7556869983673096,
-0.7201442718505859,
0.0027205264195799828,
-0.5743762254714966,
-0.018881892785429955,
-0.27083468437194824,
-0.649552524... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
Example: Premise: Old man crafting something in his workshop.
Hypothesis: An old man is working.
Update: The man is serious and is surrounded by workers.
Output: strengthener
If the old man is serious and surrounded by workers, it is more likely that he is working.
New input case for you: Premise: A foreign family is walking along a dirt path next to the water.
Hypothesis: they are trying not to fall in the water
Update: Their arms are outstretched as an effort to maintain balance.
Output: | strengthener | 1 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.04898834228515625,
0.20235389471054077,
-0.5788566470146179,
0.3956143260002136,
0.32178935408592224,
-0.5939807891845703,
0.7434262037277222,
1.4847538471221924,
0.5749260187149048,
-0.37922826409339905,
-1.1222915649414062,
0.2230577915906906,
-0.41928985714912415,
-0.0955715253949165... |
Definition: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '1 c. Total cereal', '1 c. orange juice', '1/4 c. vegetable oil', '1 egg', '2 small bananas, thinly sliced', '1 1/2 c. Gold Medal all-purpose flour', '3/4 c. sugar', '1 c. raisins', '1 tsp. baking soda', '1 tsp. ground cinnamon', '1/2 tsp. salt',<sep> directions: 'Heat oven to 350°.', 'Grease square pan (8 x 8 x 2-inch).', 'Mix cereal and orange juice in a large bowl.', 'Let stand until soft. Mix in oil, egg and bananas.', 'Stir in remaining ingredients.', 'Pour into pans and bake for 45 minutes.'
Output: | Fruit And Cereal Brunch Cake | 2 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.13450396060943604,
1.0324329137802124,
-0.49689000844955444,
0.3530644476413727,
-0.34488481283187866,
0.275180846452713,
0.24364839494228363,
0.1721646785736084,
-0.43600767850875854,
-0.4742494225502014,
-0.031753286719322205,
-0.3565440773963928,
-0.16769623756408691,
-0.0155139667913... |
TASK DEFINITION: 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.
PROBLEM: Question: A and B invests Rs.3000 and Rs.4000 respectively in a business. If A doubles his capital after 6 months. In what ratio should A and B divide that year's profit?
Option A: 9:6
Option B: 9:8
Option C: 9:1
Option D: 9:9
Option E: 9:5
SOLUTION: Option B
PROBLEM: Question: Marge has 3 pumps for filling her swimming pool. When all 3 pumps work at their maximum rates, the swimming pool is filled in 66 minutes. Pump 1's maximum rate is twice the maximum rate of pump 2 and four times the maximum rate of pump 3. How long would it take Marge to fill the pool if she used only pump 3 at its maximum rate ?
Option A: 2hrs, 48mins
Option B: 6hrs, 32mins
Option C: 7hrs, 12mins
Option D: 13hrs, 4mins
Option E: 7hrs, 42mins
SOLUTION: Option E
PROBLEM: Question: A crow leaves its nest, and flies back and forth from its nest to a nearby ditch to gather worms. The distance between the nest and the ditch is 250 meters. In one and a half hours, the crow manages to bring worms to its nest 15 times. What is the speed of the crow in kilometers per hour?
Option A: 1
Option B: 3
Option C: 4
Option D: 5
Option E: 6
SOLUTION: | Option D
| 8 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.7930641174316406,
0.2795459032058716,
-0.13806511461734772,
0.23694241046905518,
-0.1454901546239853,
-0.021979495882987976,
0.2803652882575989,
0.7309603691101074,
-0.8112064003944397,
0.026962215080857277,
-0.18699215352535248,
0.4594928026199341,
-0.4163871109485626,
-0.10156260430812... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction. Sentences belonging to 'face-to-face' genres relate to conversations or dialogues, 'government' encompasses information released from public government websites, 'letters' refers to any written work for philanthropic fundraising, '9/11' relates to information pertaining to the 9/11 attacks, 'oup' includes non-fiction works on the textile industry and child development, 'slate' refers to any cultural topic that appears in the slate magazine, 'telephone' includes telephonic dialogue, 'travel' deals with information in travel guides, 'verbatim' includes short posts regarding linguistics, and 'fiction' includes popular works of fiction like 'The Secret Adversary' etc.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy has many fans who love its attractions. Genre: travel.
Output: Y
The places are specifically pointed out and referred to as attractions and hence are in the same genre.
New input case for you: Sentence 1: The Physician's Guide to Helping Patients with Alcohol Problems. Sentence 2: The Guide for Helping Patients with Alcohol Problems, for Physician's, is updated once every three years. Genre: government.
Output: | Y | 1 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.9948482513427734,
0.2502683699131012,
0.1255669891834259,
-0.27928614616394043,
0.39015740156173706,
0.27325278520584106,
-0.10705974698066711,
0.8982146978378296,
-0.03928177431225777,
-0.015362649224698544,
-0.5407379865646362,
-0.046757712960243225,
-0.14368076622486115,
-0.416233152... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in Korean, provide an equivalent paraphrased version from the original that retains the same meaning.
1975 년부터 76 년까지 NBA 시즌은 전국 농구 협회 (National Basketball Association)의 30 번째 시즌이었다.
Solution: National Basketball Association의 1975 - 76 시즌은 NBA의 30 번째 시즌이었다.
Why? The paraphrase of the original sentence in Korean is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.
New input: Oraciu 강 또는 Orociu 강 루마니아의 Pustnic의 지류입니다.
Solution: | Oraciu River 또는 Orociu River는 루마니아의 Pustnic River의 지류입니다. | 0 | NIv2 | task771_pawsx_korean_text_modification | fs_opt | [
0.2742112874984741,
0.1271594911813736,
-0.3625119924545288,
-0.5267366170883179,
0.5184627175331116,
-1.2993338108062744,
0.9341670274734497,
0.10914517939090729,
0.2974143922328949,
0.22144930064678192,
0.07811575382947922,
0.35235869884490967,
-0.8771701455116272,
0.14136426150798798,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
[Q]: Person1: Oh , no . It looks like my computer really has caught a virus .
Person2: Why ? Did you open an attachment ?
Person1: Yes , something called “ George W . Bush . ” An hour later , all I see are pictures of George W . Bush in women's clothes .
Person2: I kind of like it . He looks better that way , doesn't he ? More presidential .
Person1: I preferred the forward with pictures of him side-by-side with monkeys .
Person2: Yeah , their expressions were exactly the same !
[A]: 0
[Q]: Person1: Hello , Tony . Fancy meeting you here . How are things going with you ?
Person2: Not too bad , thanks . And you ?
Person1: Pretty good ! How are your parents these days ?
Person2: Oh , they are fine . They are enjoying their retirement .
Person1: Oh , good . That's nice to hear . Well , I am going to a football match . I need to go .
Person2: Say hi to your family for me .
Person1: Thanks , I will , byebye !
[A]: 1
[Q]: Person1: I'm afraid I spilled coffee on the tablecloth .
Person2: Oh , never mind . I am just going to do the laundry today .
Person1: I want to apologize . Is there anything can do for you ?
Person2: It really doesn't matter at all . I never did like it anyway .
[A]: | 1
| 5 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.33407604694366455,
-0.020991982892155647,
-0.2382507622241974,
0.26616281270980835,
0.22873452305793762,
-0.5367392301559448,
0.6665499806404114,
0.039128415286540985,
0.1630970537662506,
0.21814660727977753,
-0.39906078577041626,
-0.2338973879814148,
0.11686620116233826,
-0.130633592605... |
Detailed Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Problem:Sentence: 'the city bus is painted pink and purple'. Is 'and' the longest word in the sentence?
Solution: | No | 8 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.4703007936477661,
0.748673141002655,
0.5125510692596436,
-0.24248367547988892,
-0.40680813789367676,
-0.7668931484222412,
0.22869355976581573,
0.5280430316925049,
0.13001634180545807,
0.07857748866081238,
-0.8897083401679993,
-0.3041682541370392,
0.2502918243408203,
-0.0426882803440094,... |
You will be given a definition of a task first, then some input of the task.
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answered using Wikipedia articles. To decompose the question, think of a decomposition strategy you could apply to answer the question through a search against Wikipedia. The decomposition strategy might not be obvious for some questions. For this reason, you are provided with additional information. You are not required to write decompositions that exactly match the provided facts, they are only meant as guidance. If the facts are too noisy, think about how you would have used Wikipedia to answer this question to create the decomposition. "not_definitive_answer" is true if there is no clear answer i.e. the question is ambiguous or a subjective opinion."incorrect_answer" is true if the answer to the question is not correct. If the answer is incorrect, write a decomposition that evaluates the correct answer. Each question should be easy to answer based on simple facts from Wikipedia pages, or a simple check using the answers to preceding questions. To ensure this, we also ask you to enter a potential Wikipedia article that would contain the answer to each question. If you can not think of a Wikipedia page that can answer your question, please think of a different strategy. You do not need to enter a Wikipedia page for steps that don't add new information and only contain simple checks. The answer to the final question is the same as the answer to the original question. Every question's answer has an impact on the final answer and there should be no redundant steps in the decomposition.
Question: Would Alexander Graham Bell hypothetically support Nazi eugenics?, Answer:Yes, Description of Alexander Graham Bell: scientist and inventor known for his work on the telephone, Fact1: Eugenics was the idea of selective breeding or sterilization to rid the human populace of certain traits., Fact2: Nazis used eugenics to justify mass sterilization and mass murder., Fact3: Alexander Graham Bell Alexander Graham Bell advocated against the use of sign language and hoped to eradicate deafness through selective breeding.
Output: | Step1: What did the Nazi's use to justify mass sterilization and mass murder?, Step2: What is the definition of #1?, Step3: What did Alexander Graham Bell advocate against the use of?, Step4: Did Alexander Graham Bell use #2 to get rid of #3?, Wikipedia page for step 1: Nazi, Wikipedia page for step 2: Eugenics , Wikipedia page for step 3: Alexander Graham Bell, Wikipedia page for step 4: Eugenics , not_definitive_answer: False, incorrect_answer: False | 1 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.038095198571681976,
-0.3396880328655243,
-0.3270081877708435,
0.6098766326904297,
-0.14448322355747223,
-0.5025691986083984,
0.8901405930519104,
0.4844391942024231,
0.25820228457450867,
0.47293251752853394,
-0.4373775124549866,
0.6279518604278564,
0.014372395351529121,
-0.053008191287517... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
--------
Question: [15, 169, 8, 73]
Answer: [15, 169, 73]
Question: [119, 108, 151, 29]
Answer: [119, 151, 29]
Question: [128, 97, 164, 179, 9, 150]
Answer: | [97, 179, 9]
| 7 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.36433908343315125,
0.11141887307167053,
-0.2685851454734802,
-0.6585977077484131,
0.18713444471359253,
-0.17974695563316345,
0.8336684703826904,
0.26636093854904175,
-0.8734669089317322,
0.4936540126800537,
-1.035778522491455,
0.3051278591156006,
-0.23904965817928314,
-0.519511759281158... |
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