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 |
|---|---|---|---|---|---|---|
Definition: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: Perfect for iPad 2
Output: | Positive Review | 2 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.2666623592376709,
-0.05514083057641983,
-0.09374655783176422,
-0.5382110476493835,
0.1212879866361618,
0.0598284937441349,
0.18244847655296326,
-0.06461609899997711,
0.7132390141487122,
0.6824724674224854,
-0.6426893472671509,
-0.13136205077171326,
-0.3539142906665802,
0.088293775916099... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Problem:Context Word: thinner.
Solution: | PersonX appears to tower over PersonY in photographs because _ isn't the thinner one of the two. | 8 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.14908050000667572,
0.7508270144462585,
0.17109686136245728,
-0.18946051597595215,
0.2085966169834137,
-0.18832927942276,
0.36251822113990784,
0.7251403331756592,
-0.22626590728759766,
-0.059982508420944214,
-0.1972510814666748,
-0.3082216680049896,
-0.5601280927658081,
0.1794340908527374... |
Q: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
password = 0cqJSEp7iTR7edHLs0ZWOF!xPFCNKbdtU
A: | 13 | 7 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.5788079500198364,
1.1665102243423462,
0.10182899236679077,
-0.8227760195732117,
0.14989528059959412,
-0.3410853445529938,
1.3852131366729736,
-0.22555482387542725,
0.4521128237247467,
-0.7353636026382446,
0.15911510586738586,
-0.04018494114279747,
-1.0555000305175781,
-0.5511496663093567... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: یوم مون رو بیارید
Student: | bring yum moon. | 6 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.6200709342956543,
0.8729182481765747,
0.15299876034259796,
-0.8755123615264893,
-0.4728219509124756,
-0.7957943677902222,
0.21549564599990845,
0.4502220153808594,
0.523592472076416,
-0.22850435972213745,
-0.1674889624118805,
0.33995088934898376,
-0.5649458765983582,
-0.5041699409484863,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:My last point concerns the future Palestinian State.
Solution: | Min sista punkt gäller den kommande palestinska staten. | 8 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
0.4418363571166992,
0.7387781143188477,
0.3268086314201355,
-0.983096718788147,
-0.3851218819618225,
0.33714666962623596,
1.5667473077774048,
0.48958122730255127,
0.7037132382392883,
0.353790819644928,
-0.21369022130966187,
0.6626749634742737,
-0.6690158843994141,
-0.33346718549728394,
-... |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
PROBLEM: Y pensé: les tomaré un examen y sacarán un cero. Les daré los materiales. Regresaré y los evaluaré. Sacarán otro cero. Regresaré y les diré: "" Sí, necesitamos maestros para ciertas cosas "". Llamé a 26 niños.
SOLUTION: וחשבתי לעצמי שאם אבחן אותם הם יקבלו אפס. אתן להם את החומר, אחזור ואבחן אותם ואז שוב הם יקבלו אפס. ואז אוכל להגיד שבדברים מסויימים אנחנו כן זקוקים למורים. אספתי 26 ילדים.
PROBLEM: El soldado afgano se sorprendió tanto al verme que olvidó sellar mi pasaporte.
SOLUTION: והחייל האפגני היה כל כך מופתע לראות אותי שהוא שכח להחתים את דרכוני.
PROBLEM: Así que lanzamos esto para capturar las historias de todo el mundo, a través de video, a través de fotos, a través de la historia escrita, y así las experiencias de las personas en ese día, que era, de hecho, este enorme riesgo para la institución hacer su primer movimiento de esta plataforma abierta.
SOLUTION: | וכך השקנו את זה כדי ללכוד את הסיפורים מכל רחבי העולם, באמצעות וידאו, באמצעות תמונות, באמצעות ההיסטוריה הכתובה, וכך חוויותיהם של אנשים באותו יום. שהיה, למעשה, סיכון עצום עבור המוסד לעשות את הצעד הראשון של פלטפורמה פתוחה זו.
| 8 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.3923346996307373,
-0.22576001286506653,
0.020144104957580566,
-0.16045880317687988,
-0.19986289739608765,
0.5128265619277954,
1.3709444999694824,
0.36669015884399414,
0.022785957902669907,
-0.35314512252807617,
-0.46478039026260376,
0.2328602820634842,
-0.3736753761768341,
0.10307133197... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
These stem cells have come in and repaired, in yellow, the bone, in white, the cartilage, almost completely. | Komórki macierzyste naprawiły ją: na żółto - kość, na biało - chrząstkę, prawie całkowicie. | 0 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
0.2849907875061035,
1.226431131362915,
-0.7049533724784851,
-0.29486459493637085,
-0.2813682556152344,
-0.7286900877952576,
0.1820024996995926,
0.4379858672618866,
0.5490617156028748,
-0.1619958132505417,
0.3276470899581909,
1.4144189357757568,
-0.1804431676864624,
0.664169192314148,
-0.... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Billy the Kid's Fighting Pals (also known as Trigger Men) is a 1941 American western directed by Sam Newfield for Producers Releasing Corporation (PRC), and fifth in PRC's Billy the Kid film series.
Answer : Producers Releasing Corporation
What studio produced Billy the Kid's Fighting Pals?
Context : Thomas E. Atkinson (born 1824, date of death unknown) was a Union Navy sailor in the American Civil War and a recipient of the U.S. military's highest decoration, the Medal of Honor, for his actions at the Battle of Mobile Bay.
Answer : American Civil War
In which war did Thomas E. Atkinson fight?
Context : Cougar Helicopters Flight 91 (also known as Flight 491) was a scheduled flight of a Cougar Sikorsky S-92A (Registration C-GZCH) which ditched on 12 March 2009 en route to the SeaRose FPSO in the White Rose oil field and Hibernia Platform in the Hibernia oilfield off the coast of Newfoundland 55 kilometres (34 mi) east-southeast of St. John's, Newfoundland.
Answer : 12 March 2009
| When did Cougar Helicopters Flight 91 occurr?
| 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
-0.09030424058437347,
-0.33914172649383545,
-0.4723978042602539,
-0.15614819526672363,
0.05189785361289978,
-0.15280260145664215,
-0.03199988976120949,
0.6367440223693848,
-0.10570931434631348,
0.29478520154953003,
-0.07753203809261322,
0.7565362453460693,
-0.3152576684951782,
-0.455590903... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Q: This is the summer when young Lucy, a 19-year-old American, has decided to lose her virginity. For the summer holidays, she arrives in a beautiful place in Tuscany, a villa on a hilltop owned by an English artist, where she discovers different interesting people of different age at different stages of life, of different commitment, understanding, and sexuality.Her dead mother left Lucy her diary which points out she was conceived on this very hilltop, but doesnt say who her father is; Lucy has to find out.Lucy also wants to give herself to the young Italian, Nicolo, who kissed her four years ago, but she discovers that life is not always what you have decided, especialy when love is concerned, it is not that simple, but it is beautiful. She takes in all this beauty. We all steal beauty from the world. We need it as we live, as we create (the object of the artist, or creating life), as we comply to life, as one's loses one's virginity.Life feeds on stealing beauty, before becoming beauty itself. Lucy has grown up., Question: What does she decide to lose this summer?
A: Answer: her virginity
****
Q: David (Maguire) and his twin sister Jennifer (Witherspoon) lead different high-school social lives. Jennifer is shallow and extroverted; David is introverted and spends most of his time watching television. One evening while their mother, Sherry (Jane Kaczmarek), is away, they fight over the TV. Jennifer wants to watch a concert on MTV, but David wants to watch a marathon of Pleasantville, a black and white 1950s sitcom about the idyllic Parker family, who live in the squeaky-clean suburb of Pleasantville, Iowa. During the fight, the remote control breaks, and the TV cannot be turned on manually.A mysterious TV repairman (Knotts) shows up, quizzes David about Pleasantville, then gives him a strange remote control. The repairman leaves, and David and Jennifer resume fighting. However, they are then transported by the remote into the Parkers' black and white Pleasantville living room in 1958. David tries to reason with the repairman (with whom he communicates through the Parkers' television), but he succeeds only in chasing him away. With the remote no longer functioning, David and Jennifer must now pretend they are Bud and Mary Sue Parker, the son and daughter on the show.David and Jennifer witness the wholesome nature of the town, such as a group of firemen who only rescue cats stuck in trees, as there are no fires to fight. David tells Jennifer they must stay in character and not disrupt the lives of the town's citizens, who do not notice any difference between Bud and Mary Sue, and David and Jennifer. To keep the show's plot Jennifer dates a boy from high school, but, due to her impatience, Jennifer skips all forms of storybook romance and has sex with himâa concept unknown to him and everyone else in town.Slowly, Pleasantville begins changing from black and white to color, including flowers and the faces of people who have experienced bursts of emotion and personal transformation (usually through sex). Though against Jennifer's disruption at first, David eventually joins in when he begins to see the shows characters as real people and not just avatars. David introduces Mr. Johnson (Daniels), owner of the cheeseburger joint/soda shop where Bud works, to colorful modern art via a book from the library, sparking in him an interest in painting. Johnson and Betty Parker (Allen) fall in love, causing her to leave home, throwing George Parker (Macy), Bud and Mary Sue's father, into confusion. The only people who remain unchanged are the town's fathers, led by the mayor, Big Bob (Walsh in his final performance), who sees the changes eating at the values of Pleasantville. They resolve to do something about their increasingly independent wives and rebellious children.As the townsfolk become more colorful, a ban on "colored" people is initiated in public venues. Eventually, a riot is touched off by a nude painting of Betty (painted by Johnson) on the window of Mr. Johnson's soda shop. The soda shop is destroyed, books are burned, and people who are "colored" are harassed in the street. As a reaction, the town fathers announce rules preventing people from visiting the library, playing loud music, or using paint other than black, white, or gray. In protest, David and Mr. Johnson paint a colorful mural on a brick wall, depicting their world, prompting their arrest. Brought to trial in front of the town, David and Mr. Johnson defend their actions, and their passion begins to influence the non-colored members of the population into becoming colored. David also eventually arouses enough anger and indignation in Big Bob that the mayor becomes colored as well. The mayor runs off, effectively ending the segregation.With Pleasantville and its populace now in full color, Jennifer and David both reflect on how their actions in changing Pleasantville have changed their own views on how they perceive the real world and their place in it, noting that it had been far more difficult for them to become colorful as opposed to the other townsfolk, and the circumstances that eventually allowed them to. Jennifer stays to finish her education, citing that her poor academic record in the real world would not allow for college. David uses the remote control, now working again, to return to the real world, and surprises his mother with his newfound maturity. The mysterious TV repairman, who had been outside the house in his truck the whole time, smiles as he drives away., Question: What is the name of the town that is now in full color?
A: Answer: Pleasantville
****
Q: Cris Johnson (Nicolas Cage) can see into his future. He can only see two minutes ahead, with the exception of a vision he once had of a woman walking into a diner. Knowing no details other than the time, he goes to the diner twice each day at 8:09 to await her arrival. He works as a small-time magician in Las Vegas, where he supplements his income with gambling, using his powers to win against the house.Cris draws the attention of FBI agent Callie Ferris (Julianne Moore), who has figured out his ability and wants to stop terrorists from detonating a nuclear weapon. Before she can approach Cris, his gambling draws the attention of casino security. He stops an imminent robbery, yet is chased by security agents. Using his ability to forecast the actions of his pursuers, he eludes them and the Las Vegas police, meanwhile foiling an attempted murder at the casino cash desk. Ferris tracks Cris to his home, but he escapes after foreseeing her arrival. Later that night, the casino's security chief is approached by two of the terrorists, is interrogated about Johnson and is then killed.The following morning, Cris is at the diner again when he sees Liz Cooper (Jessica Biel), the woman from his vision. It turns out that not only can Cris see the future, but he can also see how his actions can affect that future. After envisioning different approachesâall of which fall flatâhe intervenes when Liz's ex-boyfriend arrives. Knowing that she is heading for Flagstaff, Arizona, Cris charms her into giving him a ride. Ferris follows, while the terrorists decide to kill him. A washed-out road forces Cris and Liz to spend the night in a motel. With the weapon tracked to Los Angeles, Ferris convinces her superiors to let her bring Cris in. The terrorists follow in the hope that the agents will lead them to Cris.Ferris confronts Liz near the hotel. Claiming Cris is a dangerous sociopath, Ferris asks Liz to drug Cris so that they can bring him in peacefully. Instead, Liz warns Cris, who tells her his secret. When she asks why he will not help the FBI stop the terrorists, he explains his limitations, noting the exception for events involving her. Asking for Liz to wait for him, he tries to escape from the FBI agents but is captured after saving Ferris from logs tumbling down the side of a mountain. Unable to kill Cris, the terrorists kidnap Liz instead.In custody, Cris is strapped to a chair with his eyes held open and forced to watch television until he has a vision that can help the FBI. They expect him to see a report about the detonation of the bomb, but instead he envisions a broadcast from several hours in the future in which Liz is killed by a small bomb while strapped to a wheelchair as bait for him. Cris escapes from captivity and races to the parking garage where she will be killed. Pursuing him to the garage, Ferris promises to help save her as long as Cris will help stop the bomb; she also sets up a plan to draw out the terrorists.Using his ability, Cris helps the FBI track the terrorists to the port where they are based. When they arrive, Cris is able to walk right up to the terrorist leader and avoid being hit, by seeing where the bullets will go and dodging them. After killing the terrorists and saving Liz, they find that the bomb has already been moved. Ferris shows Cris a seismograph, hoping that he will see any tremors caused by explosions before they happen. As he stares at the screen he realizes that he has made a mistake and that he was too late: the bomb detonates out at sea and completely destroys the port, as well as the rest of the city.The timeline reverts to Cris and Liz in bed at the hotel in Arizona, before Liz goes outside to be confronted by Ferris. Because of Liz's involvement in events, Cris has been able to envision everything that could happen leading to the nuclear explosion. "Every time you look into the future, it changes."Cris calls Ferris and offers to help prevent the nuclear disaster, then asks Liz to wait for him., Question: Cris sees who at the diner?
A: | Answer: Liz Cooper
****
| 4 | NIv2 | task194_duorc_answer_generation | fs_opt | [
-0.09840789437294006,
0.2667984962463379,
-0.3316558599472046,
-0.654309868812561,
0.020638786256313324,
0.31074681878089905,
0.8163700103759766,
0.9092873334884644,
0.0017448961734771729,
-0.022366773337125778,
0.03736207261681557,
0.14955294132232666,
-0.6999247074127197,
-0.097011312842... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
One example is below.
Q: She shone her light around the space, following the glow of the flashlight's ray along the walls.
A: Past
Rationale: The verb "shone" is in past tense.
Q: " A rifle, from a couple of blocks away.
A: | Present | 9 | NIv2 | task429_senteval_tense | fs_opt | [
-0.41734716296195984,
1.0010459423065186,
0.1517820954322815,
-0.18026892840862274,
0.12221291661262512,
-0.14556175470352173,
0.7931270599365234,
1.046757698059082,
0.46237659454345703,
0.028689246624708176,
-0.5475245714187622,
0.1617129147052765,
-0.8072188496589661,
-0.1522432416677475... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Input: Consider Input: Article: general motors tuesday unveiled its electric car , the volt , from its detroit headquarters on the company 's ###th anniversary . Title: residents of flattened texan towns told to stay away
Output: no
Input: Consider Input: Article: oil prices rose on friday as hurricane ike forced the closure of energy production facilities in the gulf of mexico , traders said . Title: dutch chip maker nxp announces #,### job cuts
Output: no
Input: Consider Input: Article: a spanish judicial watchdog on wednesday fined a judge #,### euros -lrb- #,### dollars -rrb- for allowing a convicted paedophile to remain free before he killed a young girl . Title: spanish judge in legal storm over paedophile ruling
| Output: yes
| 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.7846384644508362,
0.061463240534067154,
-0.1441214382648468,
0.64109206199646,
0.11743244528770447,
-0.9822186231613159,
-0.15711383521556854,
0.8712248206138611,
0.12004774063825607,
0.22565367817878723,
-0.27793556451797485,
-0.008963217958807945,
-0.4962068200111389,
-0.1025943085551... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Q: People are walking and jumping a heighten hurdle with leg extensions. A girl
A: | is roping in front of a group of people on uneven rocks. | 4 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.3762446343898773,
1.3687801361083984,
-0.7783017158508301,
0.3877946734428406,
-0.05612365901470184,
0.25451451539993286,
-0.627643346786499,
0.4669184982776642,
0.13177907466888428,
-0.89687180519104,
-0.4345030188560486,
0.2728461027145386,
0.08074507117271423,
-0.4040815830230713,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
2, 4, ['c', '2755', 's', 'C']
C, s, 2755
1, 5, ['3401', '6149', '5289', '4819', 'e', 'd', '4055', '8841', 'Z', '2347', 'E']
e, 4819, 5289, 6149, 3401
5, 9, ['665', 'u', 'C', 'n', 's', '9459', 'K', 'O', 'A']
| A, O, K, 9459, s
| 0 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.02247568964958191,
0.41747403144836426,
-0.710469663143158,
-0.06143726408481598,
-0.045767318457365036,
-0.3736782670021057,
0.6525831818580627,
-0.35207557678222656,
-0.7756092548370361,
0.45766377449035645,
-1.0156553983688354,
-0.0009061687160283327,
0.14807511866092682,
-0.30556756... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Example Input: Context: CONGRATULATIONS RORY: We're paying out 180k to Rory's Dad and pals. There'll be some party at the McIlroy's tonight! Ladbrokes (@Ladbrokes) July 20, 2014 Question: how much is ladbrokes paying to rory's dad?
Example Output: 180k
Example Input: Context: Have you found the hidden Pac-Man locations on @googlemaps? • • • 🍒 • • • 👻• • • > The Next Web (@TheNextWeb) March 31, 2015 Question: what kind of locations are hidden?
Example Output: pac-man
Example Input: Context: From #SurrenderCobra to #PrayingMantis: #MSUvsIOWA #B1GFCG RedditCFB (@RedditCFB) December 6, 2015 Question: what is the second hashtag?
Example Output: | #prayingmantis
| 3 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.4214089512825012,
0.12195239961147308,
-0.3105846345424652,
0.11136411130428314,
-0.7071805000305176,
0.38462215662002563,
0.29433614015579224,
0.3124268651008606,
0.1692868173122406,
-0.18804104626178741,
-0.5497334003448486,
-0.48155805468559265,
-0.3015187382698059,
0.149627149105072... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Question: Was the person he danced with in 1954 older than 30 at the time? Passage:In the early 1940s, he met Pearl Primus at the National Youth Administration and became her first dance partner before studying dance with Syvilla Fort and Katherine Dunham. After serving in World War II, he returned to New York in 1946 first performing on Broadway in Show Boat, and in London in Finian’s Rainbow. Later, Nash became a member of Donald McKayle’s company, another African American choreographer of New York. He became a regular in Broadway originals, performing in My Darlin' Aida, Flahooley, and Bless You All. He also danced with Alvin Ailey in 1954 when he danced in House of Flowers, choreographed by Pearl Bailey. Starting in 1948, Joseph Nash became a dance instructor at Marion Cuyjet’s Judimar School of Dance in Philadelphia. His classes became famous in the city dance scene. One of his most talented students, Judith Jamison, became a world-famous dancer, becoming the artistic director of the Alvin Ailey American Dance Theater. Arthur Hall, a dancer and archivist, was also one of his students.
Links: a. My Darlin' Aida b. Alvin Ailey c. Philadelphia d. Alvin Ailey
Output: | b | 1 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.06420036405324936,
0.5873374938964844,
-0.5778017044067383,
0.7319035530090332,
0.2201249897480011,
0.41535496711730957,
0.4745219647884369,
0.5121777057647705,
0.4499763250350952,
0.5136616230010986,
-0.18270185589790344,
0.4208284318447113,
-0.6831603050231934,
-0.27162158489227295,
... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Él Contestoulle "" Non, eu quero abolir ós pobres "" A nosa responsabilidade é permitir que todos teñan a oportunidade de desenvolver o seu potencial por completo ©
A: | او گفت "" نه ، من می خواهم فقر را از میان بردارم. "" مسولیت ما این است که به همه اجازه بدهیم که این شانس را داشته باشند تا درک کنند که پتانسیل کامل شدن را دارند. | 7 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.600799560546875,
0.952756941318512,
0.8840534090995789,
-1.1839094161987305,
-0.3359103202819824,
-0.9167051315307617,
0.6363347768783569,
0.508497953414917,
-0.3582938611507416,
0.37311094999313354,
-0.5663065314292908,
0.09913007915019989,
-1.0346548557281494,
0.009526694193482399,
... |
Q: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Saul Lieberman (Hebrew: שאול ליברמן, May 28, 1898 – March 23, 1983), also known as Rabbi Shaul Lieberman or, among some of his students, The Gra"sh ("Gaon Rabbeinu Shaul"), was an Israeli rabbi and a scholar of Talmud. He served as Professor of Talmud at the Jewish Theological Seminary of America (JTSA) for over 40 years, and for many years was dean of the Harry Fischel Institute in Israel and also president of the American Academy for Jewish Research. Context_2 : One of the foremost scholars of Jewish Music, a Professor Emeritus of the Jewish Theological Seminary, and the Artistic Director of the Milken Archive of Jewish Music since 1993, Neil W. Levin has devoted his professional and academic life to the scholarly study of the music of Jewish experience from historical, musicological, ethnological, Judaic, and cross-cultural perspectives. While he has lectured, written, and taught courses on a diverse array of Jewish and Judaically related musical subjects spanning a broad spectrum of traditions, his particular areas of focus embrace comparative considerations of eastern and western spheres of Ashkenazi Jewry in terms of their sacred, secular art, theatrical, and folk music; and the musical creativity and life of American Jewry. As a professor of Jewish music on the faculty of the Jewish Theological Seminary of America in New York since 1982, he teaches graduate courses on the history, development, and repertoire of synagogue music, cantorial art, Yiddish and Hebrew folksong, the music of modern Israel, and music of American Jewish experience. He is recognized as one of the leading authorities in the field of Jewish music in general, and he is in much demand as a lecturer and presenter at university seminars and academic conferences throughout the United States, Europe, and Israel. Context_3 : Bibliotheca Sacra is a theological journal published by Dallas Theological Seminary, first published in 1844 and the oldest theological journal in the United States. It was founded at Union Theological Seminary in 1843, and moved to Andover Theological Seminary (now Andover Newton Theological School) in 1844 after publishing three issues, to Oberlin College in 1884, and to Xenia Seminary in 1922. Dallas Theological Seminary (then the Evangelical Theological Seminary) took over publication in 1934. Context_4 : Joel Roth is a prominent American rabbi in the Rabbinical Assembly, which is the rabbinical body of Conservative Judaism. He is a former member and chair of the assembly's "Committee on Jewish Law and Standards" (CJLS) which deals with questions of Jewish law and tradition, and serves as the Louis Finkelstein Professor of Talmud and Jewish Law at the Jewish Theological Seminary of America (JTSA or JTS) in New York City, where he formerly served as dean of the Rabbinical School. He is also Rosh Yeshiva (head of school) of the Conservative Yeshiva in Jerusalem, Israel, an institution founded and maintained by the United Synagogue for Conservative Judaism and under the academic auspices of JTS. In 2006, Rabbi Roth took over as chair of the Hebrew Language department at JTS. Rabbi Roth is a well-known teacher of Hebrew grammar. He is a vociferous proponent of the existence of the "sheva merakhef" (the hovering schwa), which may be defined as the second of what would have been two consecutive sheva'im na'im in the first two letters of a word. Context_5 : Rabbi Louis Ginzberg (Hebrew: לוי גינצבורג , "Levy Gintzburg") was a Talmudist and leading figure in the Conservative Movement of Judaism of the twentieth century. He was born on November 28, 1873, in Kaunas, Vilna Governorate (then called "Kovno"); he died on November 11, 1953, in New York City. Context_6 : Mayer Rabinowitz is a Conservative rabbi and a professor of Talmud at the Jewish Theological Seminary of America. Rabinowitz is a recognized authority on Jewish law who served on the Committee on Jewish Law and Standards of the Rabbinical Assembly for twenty-five years. His halakhic papers have dealt with the ordination of women as rabbis, the observance of Yom Tov Sheini in Israel, the stunning and bolting of animals, homosexuality, and transsexuality. On December 6, 2006, Rabinowitz resigned from the committee after the acceptance of a paper by Rabbis Elliot Dorff, Daniel Nevins and Avram Reisner on homosexual relationships and ordination of homosexual rabbis, while it upheld the biblical prohibition on male intercourse. Context_7 : Cantors Assembly (CA) is the international association of hazzanim (cantors) affiliated with Conservative Judaism. Cantors Assembly was founded in 1947 to develop the profession of the hazzan, to foster the fellowship and welfare of hazzanim, and to establish a conservatory for hazzanim. The latter goal was realized in 1952 with the establishment of the Cantors Institute at the Jewish Theological Seminary of America. This Institute later developed into the H. L. Miller Cantorial School of the Jewish Theological Seminary of America. Context_8 : Eli Ginzberg (April 30, 1911 – December 14, 2002) was born in New York, New York and earned an A.B., an A.M., and a Ph.D. from Columbia University between 1931 and 1934. He was son of the famous Louis Ginzberg, Professor of Talmud, at the Jewish Theological Seminary of America in New York. Context_9 : The Jewish Theological Seminary library fire was discovered on Monday, April 18, 1966 at 10:15 AM when smoke was seen pouring from one of the small upper windows of the Jewish Theological Seminary of America library tower at Broadway and 122nd Street in New York City. Context_10 : George William Knight III (born 1931) is an ordained minister in the Orthodox Presbyterian Church. He is a theologian, author, preacher, churchman, and adjunct professor of New Testament at Greenville Presbyterian Theological Seminary in Taylors, South Carolina. Formerly, he was the founding Dean and Professor of New Testament at Knox Theological Seminary. Prior to his appointment at Knox Theological Seminary, he taught New Testament and New Testament Greek at Covenant Theological Seminary in St. Louis, Missouri. As a pastor, he planted Covenant Presbyterian Church in Naples, Florida and has served numerous other local churches in the Presbyterian Church in America and the Orthodox Presbyterian Church. A former president of the Evangelical Theological Society, he has also taught and preached the Bible at many other seminaries and churches around the world. He has authored several works, most notably "The Pastoral Epistles" and a short commentary of Timothy and Titus as included in the "Baker Commentary on the Bible". He received his theological doctorate from Free University of Amsterdam in 1968. Dr. Knight was a member of the General Assembly-appointed "Ad Interim Committee" to study the number of ordained offices in the Presbyterian Church in America according to Scripture. His "Ad Interim Report of the Number of Offices" by George W. Knight III was incorporated into the polity of the Presbyterian Church in America. He also served on an ad interim committee to study the issue of marriage, divorce and remarriage, which brought about the 1992 publication of a Position Paper of the Presbyterian Church in America on Remarriage and Divorce, 1992.. fact_1 : He was son of the famous Louis Ginzberg, Professor of Talmud, at the Jewish Theological Seminary of America in New York. fact_2 : Rabbi Louis Ginzberg (Hebrew: לוי גינצבורג , "Levy Gintzburg") was a Talmudist and leading figure in the Conservative Movement of Judaism of the twentieth century. Answer: Conservative Movement of Judaism
A: | Eli Ginzberg is the son of Professor of Talmud, at the Jewish Theological Seminary of America known for his participation in what movement? | 7 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.3167549967765808,
0.41300690174102783,
-0.4609105587005615,
0.23178793489933014,
0.44181621074676514,
-0.03887096419930458,
0.6143437027931213,
0.6333649158477783,
-0.0344366729259491,
0.39690375328063965,
0.08136671036481857,
1.0248674154281616,
-1.2133667469024658,
0.3332943320274353,
... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
Example: Passage: Madonna released the Material Girl clothing line, which she designed with her daughter, Lourdes. The 1980s inspired clothing line, borrowed from Madonna's punk-girl style when she rose to fame in the 1980s, was released under the Macy's label. Madonna also opened a series of fitness centers around the world named Hard Candy Fitness. In November 2011, Madonna and MG Icon announced the release of a second fashion brand called Truth or Dare by Madonna to include footwear, underclothing, and accessories. She also directed her second feature film, W.E., a biographic about the affair between King Edward VIII and Wallis Simpson; it was co-written with Alek Keshishian. Critical and commercial response to the film was negative. Madonna contributed the ballad "Masterpiece" for the film's soundtrack, which won her a Golden Globe Award for Best Original Song. Question: Material Girl clothing line is released under which brand?
Example solution: True
Example explanation: The answer to given question is 'Macy's', which can be determined from the second sentence of the paragraph "The 1980s inspired clothing line, borrowed from Madonna's punk-girl style when she rose to fame in the 1980s, was released under the Macy's label". Since this question is answerable, the output is True.
Problem: Passage: According to PolitiFact the top 400 richest Americans "have more wealth than half of all Americans combined." According to the New York Times on July 22, 2014, the "richest 1 percent in the United States now own more wealth than the bottom 90 percent". Inherited wealth may help explain why many Americans who have become rich may have had a "substantial head start". In September 2012, according to the Institute for Policy Studies, "over 60 percent" of the Forbes richest 400 Americans "grew up in substantial privilege". Question: What is considered as a potential disadvantage for wealth for some Americans?
| Solution: False | 5 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.15277433395385742,
0.24657024443149567,
-0.4604766070842743,
0.25121361017227173,
-0.17822271585464478,
-0.09599395096302032,
0.1397676169872284,
1.0863529443740845,
0.4574294984340668,
0.502443790435791,
-0.6485244035720825,
0.9741926789283752,
-0.8343515396118164,
-0.3210912346839905,
... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : Robert Glen Coe (April 15, 1956 -- April 19, 2000), born in Hickman, Kentucky, was convicted of the 1979 rape and murder of eight-year-old Cary Ann Medlin, and later executed for the crime.
Question : Which crime Robert Glen Coe is considered to have commited?
A: | murder | 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.1180463433265686,
0.511605441570282,
0.12254297733306885,
-0.43220192193984985,
0.15633505582809448,
-0.9418385028839111,
-1.4512165784835815,
-0.3588643968105316,
-0.23721447587013245,
-0.23417696356773376,
0.18049806356430054,
0.07512180507183075,
-0.4854258894920349,
-0.0171036571264... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Let me give you an example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
The answer to this example can be: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Here is why: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.
OK. solve this:
Se comparó este grupo con el grupo de control.
Answer: | این گروه را با گروه چشم دوخته به خط انتهای زمین مقایسه کردیم. | 8 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.2987191081047058,
0.6292358040809631,
-0.4106483459472656,
-0.09390323609113693,
-0.3833637833595276,
-0.5421946048736572,
0.4967144727706909,
0.5612718462944031,
-0.4536311626434326,
-0.10186654329299927,
-0.5730679631233215,
0.2579623758792877,
-0.298868328332901,
-0.191911518573761,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: if the diagonal of a rectangle is 17 cm long and its perimeter is 46 cm , find the area of the rectangle .
Options: ['a ) 127 cm ^ 2', 'b ) 125 cm ^ 2', 'c ) 120 cm ^ 2', 'd ) 102 cm ^ 2', 'e ) none of them']
Output: | c | 1 | NIv2 | task1423_mathqa_geometry | zs_opt | [
0.12354415655136108,
0.36740192770957947,
-0.025233564898371696,
-0.388762503862381,
0.21062850952148438,
-0.3615081012248993,
0.49905267357826233,
-0.28954634070396423,
-0.03962929546833038,
-0.23697084188461304,
-0.38644179701805115,
-0.044812146574258804,
0.20541976392269135,
-0.2863801... |
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, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something else.
Your question should include an event, or ask about an event, and should not be a yes/no question.
Passage: I submitted the hit. The hit was approved, and then I was paid.
Solution: What happened after I submitted the hit?
Why? This is a valid temporal question based on the given paragraph. Events approved and paid have a temporal relation "after" with the event submitted.
New input: Passage: The text of the bill, which also tells the government to "accelerate" Iran's controversial nuclear programme, was approved by an overwhelming majority in the conservative-controlled parliament, with 161 in favour and 15 against. The move is set to further inflame tensions over the Iranian nuclear programme, which the Islamic republic has vowed to expand in defiance of the sanctions agreed by the UN Security Council last week.
Solution: | What event has already finished? | 0 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
0.30391067266464233,
0.9603317379951477,
-0.11123007535934448,
0.14695346355438232,
-0.015100195072591305,
-0.11119511723518372,
1.000410556793213,
0.6669654250144958,
-0.005007951054722071,
0.16061565279960632,
-0.4503892660140991,
0.5618975162506104,
-0.6237882375717163,
0.48593038320541... |
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: 2019 പ്രധാന നാഴികക്കല്ലാണ്.
A: | ২০১৯ সাল আমাদের দেশের ক্ষেত্রে এক গুরুত্বপূর্ণ মাইলফলক। | 4 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.3949955999851227,
1.5654206275939941,
0.33262860774993896,
-0.28757593035697937,
-0.44827336072921753,
-0.731812596321106,
0.4253842830657959,
0.30593886971473694,
0.3645350933074951,
-0.26931023597717285,
-0.09324095398187637,
-0.3021375834941864,
-0.04662850499153137,
0.249760627746582... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Q: Sentence 1: Swiss police confirmed Thursday that cult leader Luc Jouret was among the dead found in the Order of the Solar Temple's fire-gutted chalet in the alpine village of Granges-sur-Salvan. Sentence 2: Luc Jouret was the leader of the Order of the Solar Temple.
A: 0
****
Q: Sentence 1: He said those three detainees are Khalid Sheikh Mohammed - one of the architects of the September 11th attacks on New York and Washington, Abu Zubaydah - who is believed to have been a top al-Qaida strategist, and Abd al-Rahim al-Nashiri - who is believed to have played a key role in the bombing of the USS Cole. All three are being held at the U.S. detention facility at Guantanamo Bay. Hayden said waterboarding was used against the three detainees nearly five years ago because of circumstances at the time, including the belief that additional attacks against the United States were imminent. Hayden defended the CIA's use of extreme interrogation techniques as lawful, and urged lawmakers not to impose restrictions on such methods. Congress is considering legislation that would restrict the CIA to using only the interrogation techniques authorized by the U.S. Army's field manual, which does not include waterboarding. Sentence 2: Abu Zubaydah belongs to al-Qaida.
A: 1
****
Q: Sentence 1: Next year is the 50th anniversary of the Normandy invasion, an event that wouldn't have been possible without the Liberty ships. The volunteers hope to raise enough money to sail the O'Brien to France for the big D-Day celebration. Sentence 2: 50th Anniversary of Normandy Landings lasts a year.
A: | 0
****
| 4 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
0.02971724048256874,
0.8597913980484009,
-1.018159031867981,
-0.3043355345726013,
-0.1576518416404724,
-0.6849585771560669,
0.6934900283813477,
0.7803505659103394,
-0.43793779611587524,
0.263502836227417,
-0.014954499900341034,
0.6920554637908936,
-0.5782983899116516,
0.2862634062767029,
... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Input: Consider Input: That is precisely what we do not want in the European Union.
Output: English
Input: Consider Input: Mr President, I thank the Commissioner for his statement.
Output: English
Input: Consider Input: Mr President, in the limited time I have, I would like to express my support for the work carried out by all the rapporteurs and my agreement with many of the things which have been said here, in particular by Mr Jonckheer, who criticised the excessive gathering of information and the lack of transparency and socio-economic balance in the granting of aid.
| Output: English
| 2 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
0.09689292311668396,
0.6635022759437561,
0.5039520263671875,
0.09229175746440887,
0.5408092141151428,
-0.4848794937133789,
-0.09646102041006088,
0.8035492300987244,
0.7305113077163696,
0.2421823889017105,
-0.10439486056566238,
0.37553930282592773,
-0.27417615056037903,
-0.8430449962615967,... |
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Let me give you an example: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, <MASK>, ग्लासगो, मेलबोर्न, हांगकांग, लंदन, मैनचेस्टर, न्यूयॉर्क शहर, शंघाई, फ्रैंकफर्ट एम् मेन, सिंगापुर में देखे जा सकते हैं। केल्विन क्लेन अंडरवियर, कार्डिफ़ के सेंट डेविड शॉपिंग सेंटर में भी 2010 में क्रिसमस से पहले एक दुकान खोलने जा रहा है।
Option A: मैनचेस्टर
Option B: मैनचेस्टर
Option C: एडिनबर्ग
Option D: मेलबोर्न
The answer to this example can be: एडिनबर्ग
Here is why: The most suitable word from the given options to replace the <MASK> token is एडिनबर्ग as the rest places have already been stated in the statement .
OK. solve this:
Statement: चित्तौड़ के महाराण कुंभा ने <MASK> नरेश महमूद को पराजित करने के बाद चित्तौड़ के किले में एक विशाल कीर्तिस्तंभ का निर्माण करवाया था। यह कीर्तिस्तंभ अपने वास्तुशिल्प के साथ साथ देवप्रतिमाओं के अलंकरण के कारण विशेष महत्व रखता है। कुतुबमीनार के संबंध में भी समझा जाता है कि वह कीर्तिस्तंभ है।
Option A: वहाबीवाद
Option B: राजस्थान
Option C: भारत
Option D: गुजरात
Answer: | गुजरात | 8 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.4917730689048767,
0.72227942943573,
-0.2695947289466858,
-0.09872741252183914,
0.04069117456674576,
-0.5623975992202759,
-0.923385739326477,
0.8855762481689453,
-0.005873499438166618,
-0.30323636531829834,
0.30221572518348694,
-0.025753282010555267,
-0.6882448196411133,
-0.24886885285377... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
E eu continuo a pensar que o transporte é o centro deste universo.
Solution: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Why? The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.
New input: Por essa razão, continuo a trabalhar neste projeto científico desde 2012 para o levar do laboratório para o mundo real.
Solution: | و به این علت ، من از سال ۲۰۱۲ دارم روی این پروژه نمایشگاه علوم کار می کنم تا از آزمایشگاه به دنیای واقعی بیارمش. | 0 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.7377467751502991,
0.38081666827201843,
0.39580875635147095,
0.29811811447143555,
-0.6299295425415039,
0.043845511972904205,
0.2677805423736572,
0.45960357785224915,
-0.1120663732290268,
-0.03762371465563774,
-0.7476328015327454,
0.5025017261505127,
0.029248367995023727,
0.82042670249938... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Let me give you an example: Middle: Helen planned to drive to Canada but it started snowing heavily. Ending: Helen stayed home instead and planned to go another day.
The answer to this example can be: Helen lived in America.
Here is why: Mention of the destination country name and driving implies that Helen is from a nearby foreign country.
OK. solve this:
Middle: My wife gave me a fantastic gift on my birthday. Ending: I'll have to get her a gift as a thank you!
Answer: | I have the greatest wife in the world! | 8 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.22189021110534668,
0.612214207649231,
-0.08391567319631577,
-0.510436475276947,
-0.28194165229797363,
-0.11302760243415833,
0.6046744585037231,
0.6823399066925049,
-0.36068177223205566,
-0.4107716679573059,
-0.6055697202682495,
0.3859872817993164,
-0.25555479526519775,
-0.03737137094140... |
Detailed 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.
Problem:LL Cool J performed much better in this movie that I expected! He did a fabulous job acting as a "renegade" cop within a "renegade" department. From the very beginning, he does a great job of building viewer empathy for his character and the predicament he's in. He acts as a sort of "gentle giant" -- a person whose rough exterior can scare anybody, yet whose heart is clearly in the right place from the very start -- and he does an amazing job. He was quite clearly the best character in the movie.This was certainly a performance that will not win Morgan Freeman any awards. After starring in powerhouse films like the Shawshank Redemption this film was certainly a step down. His role in Edison simply did not allow him to show his true talents as an actor -- and in terms of the conglomeration of characters placed him sadly on a back burner. There are so many ways his character (Moses Ashford) could have taken a more pivotal role. That he didn't was disappointing and a true let-down. I was hoping to see more from him in this film.Timberlake ought to have stayed in the music industry. His portrayal of a young journalist was poorly acted and unpersuasive. This movie is a typical action movie that (at least initially) bears some resemblance to corrupt police affairs LA has experienced in the past. Being an action movie, it has its share of shoot-em-up scenes, blood, and guts. These scenes are typically unrealistic and painfully predictable. Watching the beginning of the movie there is very little suspense as to what will happen at the end -- think of what you would typically expect in a good-cops/bad-cops conflict -- and it bears little resemblance to a REAL police shoot-out.What irked me most was the way Timberlake's character behaved during shoot-out scenes. He starts out having guns and not using them. Then when he finally gets around to using one he fires it as if he's been firing a gun his whole life. Then he runs out of bullets and doesn't have a gun -- and 30 seconds later, without moving or anything -- suddenly has 2 more fully loaded guns AND extra ammo?! Little plot errors like this really ruined the movie for me.If what you are looking for is a blatantly fictional plot in a fantasy world where everything turns out okay, then you'll probably love this movie. Personally, it doesn't matter to me what KIND of movie it is as long as it is realistic. Make me believe that the story is true. This story was so obviously fictional in so many aspects that I came away feeling unsatisfied.
Solution: | negative | 8 | NIv2 | task284_imdb_classification | zs_opt | [
0.1252228021621704,
0.4725070893764496,
-0.3899020552635193,
0.20818328857421875,
0.5095023512840271,
0.005512284580618143,
1.0649818181991577,
0.9457296133041382,
-0.31577014923095703,
0.13893896341323853,
-0.31406205892562866,
0.3777015507221222,
-1.0961016416549683,
0.21152189373970032,... |
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.
One example is below.
Q: Вие можете да планирате една шапка портфейл, за да носят всичките си кредитни карти.
A: Можете да използвате кредитна карта портфейл, за да влезете във всичките си кредитни карти.
Rationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about credit card wallets and the changes in the sentence follows the commonsense knowledge.
Q: И ще откриеш [ о, Мухаммад ] твар в явна обител.
A: | И ще минеш през него в тъмнините. | 9 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.30855217576026917,
0.5145881175994873,
-0.24340732395648956,
-0.48221346735954285,
-0.041948772966861725,
-1.0514795780181885,
1.1636067628860474,
1.0843892097473145,
1.047119140625,
-0.01561012677848339,
-0.45866361260414124,
0.60683673620224,
-0.562180757522583,
-0.031222090125083923,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.
Example solution: a
Example explanation: Marcus is buying clothes for a business event and not presenting an idea.
Problem: Title: Practice Time. Sentence 1: A band just got back together. Sentence 2: They played for the first time in a while. Sentence 3: They decided they will keep with it. Sentence 4: They just bought a practice space. Choices: a. They named their new city. b. They are working on new music.
| Solution: b | 5 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.043152306228876114,
0.42958781123161316,
-0.31166738271713257,
-0.181717649102211,
0.8993996381759644,
-0.4651159942150116,
0.6444072127342224,
1.5378882884979248,
-0.04194428771734238,
0.018326610326766968,
-0.7116628885269165,
0.16759076714515686,
-0.4796726703643799,
0.128241971135139... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
--------
Question: Deep generative models have achieved impressive success in recent years. Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), as powerful frameworks for deep generative model learning, have largely been considered as two distinct paradigms and received extensive independent studies respectively. This paper aims to establish formal connections between GANs and VAEs through a new formulation of them. We interpret sample generation in GANs as performing posterior inference, and show that GANs and VAEs involve minimizing KL divergences of respective posterior and inference distributions with opposite directions, extending the two learning phases of classic wake-sleep algorithm, respectively. The unified view provides a powerful tool to analyze a diverse set of existing model variants, and enables to transfer techniques across research lines in a principled way. For example, we apply the importance weighting method in VAE literatures for improved GAN learning, and enhance VAEs with an adversarial mechanism that leverages generated samples. Experiments show generality and effectiveness of the transfered techniques.
Answer: A unified statistical view of the broad class of deep generative models
Question: As distributed approaches to natural language semantics have developed and diversified, embedders for linguistic units larger than words (e.g., sentences) have come to play an increasingly important role. To date, such embedders have been evaluated using benchmark tasks (e.g., GLUE) and linguistic probes. We propose a comparative approach, nearest neighbor overlap (N2O), that quantifies similarity between embedders in a task-agnostic manner. N2O requires only a collection of examples and is simple to understand: two embedders are more similar if, for the same set of inputs, there is greater overlap between the inputs' nearest neighbors. We use N2O to compare 21 sentence embedders and show the effects of different design choices and architectures.
Answer: We propose nearest neighbor overlap, a procedure which quantifies similarity between embedders in a task-agnostic manner, and use it to compare 21 sentence embedders.
Question: We propose a new application of embedding techniques to problem retrieval in adaptive tutoring. The objective is to retrieve problems similar in mathematical concepts. There are two challenges: First, like sentences, problems helpful to tutoring are never exactly the same in terms of the underlying concepts. Instead, good problems mix concepts in innovative ways, while still displaying continuity in their relationships. Second, it is difficult for humans to determine a similarity score consistent across a large enough training set. We propose a hierarchical problem embedding algorithm, called Prob2Vec, that consists of an abstraction and an embedding step. Prob2Vec achieves 96.88\% accuracy on a problem similarity test, in contrast to 75\% from directly applying state-of-the-art sentence embedding methods. It is surprising that Prob2Vec is able to distinguish very fine-grained differences among problems, an ability humans need time and effort to acquire. In addition, the sub-problem of concept labeling with imbalanced training data set is interesting in its own right. It is a multi-label problem suffering from dimensionality explosion, which we propose ways to ameliorate. We propose the novel negative pre-training algorithm that dramatically reduces false negative and positive ratios for classification, using an imbalanced training data set.
Answer: | We propose the Prob2Vec method for problem embedding used in a personalized e-learning tool in addition to a data level classification method, called negative pre-training, for cases where the training data set is imbalanced.
| 7 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
-0.28890737891197205,
-0.00317012844607234,
-0.09183230251073837,
0.03276494890451431,
0.5691463351249695,
-0.6596895456314087,
0.9473448991775513,
0.5753909349441528,
-0.25312551856040955,
0.37083154916763306,
-0.7632436752319336,
-0.07851091027259827,
-0.3998412489891052,
0.4423576593399... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
Example input: Background Paragraph: A rise in price of a good or service almost always decreases the quantity demanded of that good or service. Conversely, a fall in price will increase the quantity demanded. When the price of a gallon of gasoline increases, for example, people look for ways to reduce their consumption by combining several errands, commuting by carpool or mass transit, or taking weekend or vacation trips closer to home. Economists call this inverse relationship between price and quantity demanded the law of demand. The law of demand assumes that all other variables that affect demand (which we explain in the next module) are held constant.
Story: The AAA auto club does a weekly report on the prices of gas and diesel in various cities. Historically, the prices have be fairly stagnant, but this week their report garnered widespread attention as the prices of gas and diesel plunged from last week in Seattle by $0.40 each. However, just across the border in Vancouver, the cost of gas went up dramatically by $0.50.
Question: Which city will have an increase in demand for gas?
Example output: Seattle.
Example explanation: The first sentence in the background paragraph (A rise in price of a good or service almost always decreases the quantity demanded of that good or service) and the sentence in the story (as the prices of gas and diesel plunged from last week in Seattle by $0.40 each) answer this question.
Q: Background Paragraph: When the temperature of reactants is higher, the rate of the reaction is faster. At higher temperatures, particles of reactants have more energy, so they move faster. They are more likely to bump into one another and to collide with greater force. For example, when you fry an egg, turning up the heat causes the egg to cook faster. The same principle explains why storing food in a cold refrigerator reduces the rate at which food spoils (see Figure below ). Both food frying and food spoiling are chemical reactions that happen faster at higher temperatures.
Story: John just opened a coffee shop. He offers two types of coffee, coffee A and coffee B. In coffee A he mixes ingredients in hot water, but in coffee B he mixes ingredients in cold water. He also notices that his shop gets very busy in the morning, but during evening he doesn't have many customers.
Question: In which coffee the particles would move faster, coffee A or coffee B?
A: | coffee A. | 3 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.49780285358428955,
0.028290558606386185,
-0.10201218724250793,
0.32185620069503784,
0.020834464579820633,
-0.6419154405593872,
0.017762646079063416,
1.179315209388733,
-0.5178602933883667,
0.10840418189764023,
-0.6455217599868774,
-0.05381501838564873,
-0.900812029838562,
0.2041442692279... |
Definition: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.
Input: beach#footage#sunrise
Output: | aerial footage of exotic beach during a sunrise | 2 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
0.1172434538602829,
-0.04771778732538223,
-0.8848579525947571,
-0.12124711275100708,
-0.39858755469322205,
-0.6913716793060303,
0.17183834314346313,
0.770583987236023,
0.14372916519641876,
-0.1772548407316208,
-0.6612266302108765,
0.13039863109588623,
-0.24835672974586487,
-0.0605203360319... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Q: Context: The Cab Calloway School of the Arts is an arts-oriented magnet school in Wilmington Delaware operated by the Red Clay Consolidated School District that focuses on a strong academic curriculum along with an education in the arts. It is a public school but children are required to audition within a field of study in order to be admitted. It is one of the most selective public schools in the United States.
Question: The document can be classified to which topic?
Options: 1)Album, 2)Athlete, 3)MeanOfTransportation, 4)EducationalInstitution, 5)Company
A: | 4 | 4 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.4152336120605469,
0.36809760332107544,
-0.024877209216356277,
0.4817209839820862,
-0.24770760536193848,
0.30544304847717285,
0.24584397673606873,
-0.09352453052997589,
-0.47906294465065,
-0.27857571840286255,
-0.18441610038280487,
-0.3460393249988556,
0.4848064184188843,
-0.059684671461... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Command: round_eq { avg { filter_eq { all_rows ; district ; hisar } ; number of electorates ( 2009 ) } ; 132744 }, interpretation: select the rows whose institution record fuzzily matches to university of dayton . take the founded record of this row . select the rows whose institution record fuzzily matches to university of memphis . take the founded record of this row . the first record is less than the second record .
Output: | no | 1 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.06429575383663177,
-0.3105097711086273,
-0.23627015948295593,
0.49782225489616394,
0.30215007066726685,
-0.5594594478607178,
0.15952226519584656,
0.6037295460700989,
0.0948905497789383,
0.08686451613903046,
-0.28013062477111816,
0.12002547085285187,
0.15890125930309296,
0.31467530131340... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Chinese, generate a new Chinese 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.
你很容易在机场找到一个旅客终点站。
Output: | 您很可能在ER 中找到一个旅客终端 。 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.046470437198877335,
0.2372618168592453,
-0.27810943126678467,
-0.5715259313583374,
0.3973400592803955,
-0.030627591535449028,
-0.04316902160644531,
0.9444249868392944,
0.20701931416988373,
0.14330506324768066,
-0.9685961604118347,
-0.07140679657459259,
0.2453790307044983,
0.342059254646... |
You will be given a definition of a task first, then some input of the task.
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.
Sentence 1: there's your tornados that's right and so they're predicting this weekend probably drop something like thirty degrees i say huh-uh see that ain't right Sentence 2: This weekend will drop by around 30 degrees.
Output: | yes | 1 | NIv2 | task199_mnli_classification | zs_opt | [
-0.5089764595031738,
0.03665133938193321,
0.5075627565383911,
-0.07584495842456818,
0.30534666776657104,
-1.0102933645248413,
0.22624140977859497,
0.8263587355613708,
0.19509164988994598,
0.005250775255262852,
-0.7446361184120178,
-0.6346181631088257,
-0.18381431698799133,
-0.4837378859519... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: My mom is really sick and it is stressful.
A: | Are your family happy and in good health ? | 4 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.12265267223119736,
1.0313632488250732,
-0.3223003149032593,
-0.9803093671798706,
-0.12801435589790344,
-0.9637237787246704,
0.08822526782751083,
0.9608378410339355,
0.7400757074356079,
-0.3892500400543213,
-0.04961105436086655,
0.29187703132629395,
-0.6860676407814026,
0.282412052154541... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX asks PersonX's grandma<sep>Tail: good.
Output: | Yes | 2 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.1997772753238678,
0.03379045054316521,
0.29036590456962585,
-0.40462225675582886,
-0.45407792925834656,
-0.990654706954956,
1.345899224281311,
0.338192343711853,
-0.3875398337841034,
-0.5839624404907227,
-0.4868265986442566,
-0.1300567090511322,
-0.7490682601928711,
0.4493827223777771,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Q: Comment: Remember his idiot mouthpiece, Huckabee, said he wasn't going to discuss the Arpaio pardon issue in Phoenix?
They're all a bunch of morons.
A: | Toxic | 9 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.26064324378967285,
0.3704281747341156,
1.0634959936141968,
0.14997079968452454,
-0.18936637043952942,
-0.5636760592460632,
0.3276749551296234,
0.35790425539016724,
0.1518450230360031,
0.5281386375427246,
-0.12926089763641357,
-0.17723776400089264,
-0.07541315257549286,
-0.69100701808929... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Ex Input:
Sentence 1: Protons and neutrons are located in the central nucleus. Sentence 2: Nucleus The nucleus is the central core of an atom, in which the neutrons and protons reside.
Ex Output:
entails
Ex Input:
Sentence 1: In celsius, the boiling point of water is one hundred degrees. Sentence 2: In the Celsius scale 0 is chosen as the freezing point of water and there are 100 degrees between the freezing and boiling points of water.
Ex Output:
entails
Ex Input:
Sentence 1: Electrostatic repulsions normally prevent a positively charged particle from colliding and reacting with a positively charged nucleus, but may be overcome by kinetic energy. Sentence 2: This electrostatic charging of aerosol particles may be what the animals are reacting to.
Ex Output:
| neutral
| 1 | NIv2 | task1554_scitail_classification | fs_opt | [
0.28248897194862366,
0.19362139701843262,
-0.1832079291343689,
0.22140797972679138,
-0.1523900032043457,
-1.3776743412017822,
0.35787105560302734,
0.6782986521720886,
0.3344990313053131,
-0.19623146951198578,
-0.17720246315002441,
-0.0939285010099411,
-0.5076998472213745,
-0.10046007484197... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
One example: Isto inclúe un sistema en árabe chamado al-jebra.
Solution is here: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated into Italian, because the meaning is preserved.
Now, solve this: Foi o comezo dunha escalada de implicación americana alí pola que non pagamos no surtidor.
Solution: | Questo è stato l'inizio dell'incursione degli Stati Uniti laggiù che noi non paghiamo alla pompa. | 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.1730317771434784,
0.9381759166717529,
-0.20291569828987122,
0.38390088081359863,
-0.2532217502593994,
-0.6708846092224121,
1.1903438568115234,
0.774667501449585,
-0.9695842266082764,
0.02249310165643692,
-0.2839547395706177,
-0.27037784457206726,
-0.9967939853668213,
0.7089196443557739,... |
Instructions: Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the category from the stated options and there should be exactly one category for the given text passage.
Input: Buyer: I love the place! The price is a little high for me, though. I am looking to spend around 2000
Seller: Well this is a really nice place with washer and dryer included in the unit and you have an attached garage.
Buyer: I can see it is very nice! Is any utilities included?
Seller: No but you get your trash can and recycle bin included. You also have pool and gym access.
Buyer: Well, if you could include electric with the price, I could pay 2200?
Seller: I can't do that. I could negotiate the price but I cannot throw in the electric. If you would like to go see it, you can email Michael for a showing.
Buyer: Ok, wellhow about 2200 a month without the electric?
Seller: There is a one year lease and if you got it just make me an offer.
Buyer:
Seller:
Output: | housing | 3 | NIv2 | task767_craigslist_bargains_classification | zs_opt | [
-0.39035576581954956,
0.06336616724729538,
-0.5517823696136475,
0.9063739776611328,
0.2999666929244995,
0.09989506006240845,
-0.08948284387588501,
0.6957604289054871,
-0.47292739152908325,
0.6254938244819641,
-0.014342544600367546,
0.6114684343338013,
-0.1291825771331787,
-0.40231233835220... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.
See one example below:
Problem: খানকির পুলা মালায়নদের মেরে সাফা করে ফেল
Solution: political
Explanation: Here it expresses hate against the government, hence tagged as political.
Problem: ভন্ড এবং ফাজিল শালির ঘররে শালি ফকন্নি
Solution: | non-political | 4 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.390203595161438,
0.004131934605538845,
0.1775745004415512,
0.5355091094970703,
-0.3908383250236511,
-0.5956132411956787,
0.7889018654823303,
0.08088979125022888,
-0.37417009472846985,
-0.1040930449962616,
-0.7616565823554993,
0.1663721799850464,
-0.07659494131803513,
-0.4689018726348877... |
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.
['9063', '4069', 'Q', '3157', 't', 'y', 'v', '7987', '5723', '4123', '919', '1693', 'C', 'f', 'z', 'h', '747', 'S', '1581', 'W', 'A', '9349']
A: | 1, 2, 4, 8, 9, 10, 11, 12, 17, 19, 22 | 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.2821928858757019,
0.5554531812667847,
0.05433861166238785,
-0.48082518577575684,
0.29262763261795044,
-0.05916423350572586,
0.6443679928779602,
-0.06182323023676872,
-0.22881245613098145,
0.6741460561752319,
-0.28916487097740173,
0.1442357301712036,
-0.1343122273683548,
-0.1402343213558... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Q: The Golden Heian Era: The geomancers in 794 decided that Heian-kyo (modern Kyoto) would be an auspicious site for the imperial family. It was indeed — until 1869. Grants of tax-free land over the years had been made to Buddhist temples and members of the court aristocracy. The most powerful families thus carved out for themselves whole regions that were to become the fiefdoms of Japanese feudalism. By the end of the eighth century the clans had created a hierarchy of shiki, or rights, from the highest to the lowest ranks of society. The aristocrat or court patron lent his prestige to a powerful provincial proprietor, who employed a competent estate-manager to oversee smallholders, who in turn worked their farms with dependent laborers. This elaborate structure of interdependent rights and obligations was to serve Japanese society right into the 20th century. Meanwhile, Heian court life blossomed in an effusion of aesthetic expression. Princes and princesses judged the merits of birds, insects, flowers, roots, or seashells. Literary party games held in ornate palace gardens required each guest to compose a small poem as his wine cup floated toward him along a miniature winding channel of water. Expeditions were organized to the best viewing points for the first spring cherry blossoms, and special pavilions were built to watch the rising of the full moon. Every gesture, from the most banal opening of an umbrella to the sublimest act of lovemaking, had its appropriate ceremonial. Conversation often took the form of elegant exchanges of improvised verse. The changing role of Chinese culture in Japanese life was epitomized in the language itself. In the absence of an indigenous alphabet, Japanese scholars had with the greatest difficulty tried to adapt the complex ideograms of monosyllabic Chinese to the essentially polysyllabic Japanese. Thus developed the katakana system used as a vehicle for writing Buddhist names and concepts. After rival Fujiwara factions had been struggling for years to gain control of the imperial throne, they turned to the Taira and Minamoto armies in 1156 to wage the four-year war that heralded the end of the golden age of the Heian court. The Taira, controlling the region along the Inland Sea, defeated the Minamoto armies based in the Kanto province east of the capital. <sep>Who invaded Kyoto and what was the outcome?<sep>Japanese scholars
A: No
****
Q: There are more than 30 attorneys in Butler County that volunteer for an organization offering free legal services for low income or elderly households. Legal Services of Southern Missouri (LSSM) serves 43 counties in this area and is dedicated to ensuring all people, regardless of their income, equal access to legal advice and counsel. Out of the 43 counties in the LSSM service region, Butler County has the fifth highest number of cases served in 2001 and the third largest number of attorney panel members. "The Butler County attorneys have really stepped up to the plate to help us represent the poor population in this county," said LSSM Director of Development Sharon Alexander. "We had approximately 400 cases in Butler County last year." LSSM is funded by the Legal Services Corporation (LSC)- a private, not-for-profit organization. Created by Congress, LSSM also receives funding from the Missouri Lawyer Trust Account Foundation and local area agencies on aging. But LSSM credits the attorneys that volunteer their time and skills to representing the underprivileged and elderly for the success of the organization. Currently, LSSM utilizes the services of 243 private attorneys who provide a minimum of 20 hours of pro bono or two pro bono cases per year. "Fundamentally, what we're trying to do is provide equal access to justice, for all people - regardless of their economic standing," said LSSM Board Member and volunteer attorney, Fred Hall. "If a husband knocks his wife down, breaks her jaw or arm - abuses her terribly - he will be picked up and put in jail. But he's entitled to have a public defender ... Don't you think she's entitled to have a lawyer to get a temporary restraining order from this guy?" LSSM operates like a law firm, but does not charge fees to their clients. Due to federal guidelines, LSSM does not accept cases concerning criminal, post-criminal, or municipal court matters. Rather, the attorneys provide pro bono counsel in matters such as protecting victims of spouse or child abuse, protecting individuals and families from loss of housing through illegal eviction or assisting the elderly in disputing Medicaid claim denials. "One example of a case we recently handled was over in Springfield," Alexander said. "There was an elderly woman who had some plumbing work done to her home and the work was not up to standards and the cost was above what it should have been ... we were able to help her through our pro bono program. One local Springfield attorney volunteered to handle the case." <sep>How many counties are served by the LSSM?<sep>13
A: No
****
Q: At 8:38, Ong told Gonzalez that the plane was flying erratically again. Around this time Sweeney told Woodward that the hijackers were Middle Easterners, naming three of their seat numbers. One spoke very little English and one spoke excellent English. The hijackers had gained entry to the cockpit, and she did not know how. The aircraft was in a rapid descent. At 8:41, Sweeney told Woodward that passengers in coach were under the impression that there was a routine medical emergency in first class. Other flight attendants were busy at duties such as getting medical supplies while Ong and Sweeney were reporting the events. At 8:41, in American's operations center, a colleague told Marquis that the air traffic controllers declared Flight 11 a hijacking and "think he's [American 11] headed toward Kennedy [airport in New York City]. They're moving everybody out of the way. They seem to have him on a primary radar. They seem to think that he is descending." At 8:44, Gonzalez reported losing phone contact with Ong. About this same time Sweeney reported to Woodward, "Something is wrong. We are in a rapid descent . we are all over the place." Woodward asked Sweeney to look out the window to see if she could determine where they were. <sep>At what time did the hijackers gain entry to the cockpit?<sep>8:44
A: | No
****
| 4 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.1495850384235382,
0.10902716219425201,
-0.0658164769411087,
-0.8465809226036072,
1.0600831508636475,
-0.5055771470069885,
0.327588826417923,
1.305506944656372,
-0.10810397565364838,
-0.49117979407310486,
-0.38607171177864075,
0.916158139705658,
-0.635023832321167,
0.20364588499069214,
... |
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
One example: Union Minister of Agriculture and Farmers Welfare Shri Radha Mohan Singh today met Ms
Solution is here: தொழிற்சங்க வேளாண் மற்றும் விவசாயிகள் நலத்துறை அமைச்சர் ஸ்ரீ ராதா மோகன் சிங் இன்று எம்.எஸ்
Explanation: Correct translation for given sentence. Input sentence means 'Union Minister of Agriculture and Farmers Welfare Shri Radha Mohan Singh today met Ms' which is the same as the output sentence.
Now, solve this: The brave-hearts and police personnel who engage in disaster management and rescue operations by putting their lives at stake during a natural calamity will be given this honour in the name of Netaji every year.
Solution: | தேசிய பேரிடர் காலங்களில் தங்கள் இன்னுயிரையும் பொருட்படுத்தாமல் பேரிடர் மேலாண்மையிலும் மீட்பு நடவடிக்கையிலும் ஈடுபடும் நமது காவல்துறையின் வீர நெஞ்சங்களுக்கு ஒவ்வோராண்டும் நேதாஜியின் பெயரிலான இந்த விருது வழங்கப்படும். | 6 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
-0.17817199230194092,
0.34936779737472534,
-0.04113892465829849,
0.19139033555984497,
0.25698649883270264,
-0.7366382479667664,
0.12246516346931458,
0.14615008234977722,
-0.20672309398651123,
0.702380895614624,
-0.30837178230285645,
0.19310225546360016,
-0.055820368230342865,
0.65720736980... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
--------
Question: Question: Jeff gained some blood in a car crash and was given a transfusion in the hospital to replace the blood. Jeff's blood pressure will be higher
Option1: when he lost the blood
Option2: after he had blood replaced.
Explanation: As blood volume in the body increases, blood pressure increases.
Answer: when he lost the blood
Question: Question: Lana is watching two waterfalls. The first waterfall is very steep, and the other is just a slope. The waterfall which will have the least erosion at the bottom is the one with the water which falls
Option1: slower
Option2: faster
Explanation: Water flowing over a steeper slope moves faster and causes more erosion.
Answer: slower
Question: Question: Jeff built a lens with the lowest refraction possible. The lens is likely _____ curved.
Option1: very
Option2: not
Explanation: The more curved the surface of a lens is, the more it refracts light.
Answer: | not
| 7 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.46030277013778687,
0.1497165858745575,
0.003920110873878002,
0.31599998474121094,
0.06260894238948822,
-0.09509137272834778,
0.11518867313861847,
1.37555992603302,
-0.18966402113437653,
-0.17192040383815765,
-0.7210524678230286,
-0.1301073580980301,
-0.4974707365036011,
0.35945951938629... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. 'i' and 'j' will be non-negative, and will always have a value less than the length of A. 'i' will always be less than 'j'. Perform the operations in order, i.e., do not reverse first and then concatenate.
5, 7, ['2695', 'K', 'B', 'h', 'V', '6435', 'Q', '2881', '7385', '8941'] | Q5346V | 0 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.2034563571214676,
0.44329047203063965,
-0.40487435460090637,
-0.16895586252212524,
0.07088682800531387,
0.2702760100364685,
0.7296529412269592,
0.19433137774467468,
-0.24496766924858093,
-0.10053057223558426,
-1.200406789779663,
-0.20001517236232758,
0.12171806395053864,
-0.139412552118... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Answer : Havana
Solution: What was Isaac Nicola's city of birth?
Why? The answer to the generated question according to context is Havana which is correct
New input: Context : Cougar Helicopters Flight 91 (also known as Flight 491) was a scheduled flight of a Cougar Sikorsky S-92A (Registration C-GZCH) which ditched on 12 March 2009 en route to the SeaRose FPSO in the White Rose oil field and Hibernia Platform in the Hibernia oilfield off the coast of Newfoundland 55 kilometres (34 mi) east-southeast of St. John's, Newfoundland.
Answer : 12 March 2009
Solution: | When did Cougar Helicopters Flight 91 occurr? | 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.45232093334198,
-0.2713868319988251,
-0.4074246287345886,
-0.5105738043785095,
-0.06323868036270142,
0.14385810494422913,
0.16611281037330627,
0.13612453639507294,
-0.2911486029624939,
0.7006150484085083,
0.7364451289176941,
0.8122091889381409,
-0.5583028197288513,
-0.15155437588691711,
... |
Instructions: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: セルビアは不承不承分離に合意し、ヨーロッパ連合が承認した。
Output: | Serbia reluctantly agreed to the split, and the European Union approved. | 3 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.031606100499629974,
0.6717416048049927,
0.5748640298843384,
0.01907282881438732,
0.07265479862689972,
-0.3774269223213196,
0.9960261583328247,
-0.15719173848628998,
-0.19604629278182983,
-0.29404979944229126,
0.4632387161254883,
0.2760108411312103,
-0.492482453584671,
-0.4038850963115692... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example: Who were the builders of the mosque in Herat with fire temples ?
Output: Ghurids
This is a good example. Ghurids were the builders of the mosque in Herat with fire temples.
New input case for you: What is the area of the state that is slightly larger than Haiti ?
Output: | 27,778.5 | 1 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.2542402744293213,
0.6416295766830444,
-0.1932239532470703,
0.026302732527256012,
-0.004077013116329908,
-0.22850367426872253,
0.08329254388809204,
0.5520056486129761,
-0.09666630625724792,
0.08964165300130844,
-0.5486611127853394,
-0.17067289352416992,
0.10563920438289642,
-0.2419388890... |
Instructions: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: កិច្ចព្រមព្រៀងមជ្ឈត្តកម្មព្រំដែន អនុញ្ញាតឲ្យមានមជ្ឈត្តករអន្តរជាតិសម្រាប់ដោះស្រាយជម្លោះព្រំដែនដែលមានរយៈពេល 20ឆ្នាំមកហើយតាំងពីការបំបែកប្រទេសយូហ្គោស្លាវី។
Output: | 国境仲裁契約により、国際的な仲裁人がユーゴスラビアの分裂にさかのぼる20年の国境紛争を解決することができた。 | 3 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.16127046942710876,
0.28823503851890564,
-0.4576709568500519,
-0.5335686206817627,
0.02844107151031494,
-0.4321416914463043,
0.2100628763437271,
0.22673359513282776,
-0.1269453465938568,
-0.17242060601711273,
-0.05177672952413559,
0.2969285249710083,
-0.7114648222923279,
0.513971447944641... |
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.
Person1: Excuse me . Could you tell me how to get to the post office ?
Person2: Of course . Turn right at the next intersection and go straight . The post office will be on your left ( side ) . | 0 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.36732369661331177,
0.23805154860019684,
0.4029470980167389,
-0.3151048421859741,
0.2948497533798218,
0.1081153005361557,
0.7798631191253662,
-0.2050897628068924,
0.7877468466758728,
-0.3805341422557831,
-0.21425588428974152,
-0.7555608749389648,
0.19072183966636658,
-0.12166542559862137... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Context: The first complete Tosca recording was made in 1918, using the acoustic process. Link Information: none Question: How long after the acoustic press being invented was the first complete Tosca recording made?
A: Answer: none
****
Q: Context: Columbia, formerly Wright's Ferry, is a borough (town) in Lancaster County, Pennsylvania, Link Information: As of the 2010 census, the population was 519,445. Question: What is the current population of the county where Columbia, PA is located?
A: Answer: 519,445
****
Q: Context: Dusosky graduated from Anoka High School in 1994. After spending one year attending Viterbo College in La Crosse, Wisconsin, he turned professional. Link Information: Anoka High School is a four-year public high school located in Anoka, Minnesota, US on 3939 7th Avenue N.
Question: In what states did Dusosky attend high school and college?
A: | Answer: Wisconsin
****
| 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
0.40779781341552734,
0.7037025690078735,
0.16761931777000427,
0.14314106106758118,
0.36282652616500854,
-0.3951738476753235,
0.1257985532283783,
0.9305500388145447,
-0.5062066316604614,
0.08156857639551163,
0.05411664396524429,
0.40814682841300964,
-0.2480696737766266,
-0.41493016481399536... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
Q: Statement: It began with the sight of his uncle's face leering at him. Choices: 1. His uncle was mean to him has a child, which is what made it begin 2. The sight of his Auntie's face is what triggered it to begin. 3. It began with the sight of his uncle's face.
A: | 3 | 4 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
0.12763169407844543,
0.5422770380973816,
0.0358528271317482,
-0.3396320939064026,
-0.13438680768013,
0.1449020355939865,
0.32358765602111816,
0.9358952641487122,
0.5369423627853394,
0.03353702276945114,
-0.30986547470092773,
-0.1299600601196289,
-0.6975278854370117,
-0.33785533905029297,
... |
Q: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a all of coin machines in a tourist stop'. How many words end with the letter 'n' in the sentence.
A: | 2 | 7 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.49475234746932983,
0.5169147849082947,
-0.0018306276760995388,
-0.7086406946182251,
-0.3425429165363312,
-0.36683782935142517,
-0.007905613631010056,
0.4507675766944885,
0.43902695178985596,
-0.09788466989994049,
0.09274840354919434,
0.06277225911617279,
-0.5811051726341248,
0.0098014473... |
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.
Example Input: عقیده زروانیان که در عهد ساسانی شیوع یافته بود، موجب شد که مردمان اعتقاد به جبر پیدا کردند و این اعتقاد مهم ترین آسیب این آیین به جامعه ساسانی بود که امکان هرگونه گزینشی را به روی آدم سد می کرد و به اخلاق ایرانی ها نیز تاثیر میگذاشت.
باور به چندخدایی مهمترین آسیب فرقه زروانیسم به جامعه ساسانی بود.
Example Output: C
Example Input: کافری که مسلمان را بکشد قصاص می شود اما مسلمان بر اثر کشتن کافر قصاص نمی شود و در کتب فقهی آمده است چنانچه مسلمان عادت به کشتن کفار پیدا کند قصاص می شود و نیز طبق روایات، دیه مذکر ذمی ۸۰۰ درهم و دیه مونث ذمی ۴۰۰ درهم است.
دیه مرد ذمی ۸۰۰ درهم است.
Example Output: E
Example Input: انواع جنگ بر اساس معیارهای مختلف بر چند گونه تقسیم می شود: • بر اساس هدف: به جنگ های عادلانه و غیر عادلانه • بر اساس مقیاس جغرافیایی: به جنگ های محلی، منطقه ای، فرا منطقه ای و جهانی • بر مبنای نوع ابزار: به جنگ های متعارف و نامتعارف. • از نظر طول زمان: به جنگ ای محدود، متوسط و نامحدود.
انواع جنگها بر اساس طول زمان عبارت است از محدود، متوسط و نامحدود
Example Output: | E
| 3 | NIv2 | task534_farstail_entailment | fs_opt | [
0.3170316517353058,
0.5793639421463013,
-0.014539197087287903,
0.2820492386817932,
-0.46398523449897766,
-0.6299020648002625,
0.9354168772697449,
0.9315983653068542,
0.3338853716850281,
-0.029406491667032242,
-0.6174165606498718,
0.7180819511413574,
-0.5756105780601501,
-0.4222386479377746... |
Teacher:Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Teacher: Now, understand the problem? Solve this instance: Tagalog sentence: Libri ay hihirangin Inspektor ng Aklatan ng Pransya sa 1841.
Student: | Libri was appointed Inspector of the Libraries of France in 1841. | 6 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.0515700988471508,
0.3598211109638214,
0.2637035846710205,
-1.1505579948425293,
0.13350529968738556,
-0.6832807064056396,
0.19878314435482025,
0.2869352400302887,
0.6093859672546387,
-0.32042640447616577,
-0.3864389657974243,
-0.05305328965187073,
-0.8258118033409119,
0.17556169629096985... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
The Sundowners, when was it released?
1960
the director of Looper was who?
Rian Johnson
what film did Mieke de Jong write?
| Winter in Wartime
| 0 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
0.2235325127840042,
0.40844854712486267,
-0.9494324326515198,
0.36418408155441284,
-0.9823668003082275,
0.2509458661079407,
0.5061832666397095,
-0.06133803352713585,
0.15208053588867188,
-0.7000018954277039,
-0.07112100720405579,
-0.07729663699865341,
-1.1071128845214844,
0.347029089927673... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
When it came , she squared her shoulders and lifted her chin and walked into the lift as if it was the platform of the vegetarian . | Changed | 0 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.6480913758277893,
1.171471357345581,
0.18785017728805542,
0.15214426815509796,
-0.3669535517692566,
0.47613653540611267,
0.6489975452423096,
0.7030264735221863,
0.41566479206085205,
-0.4470692574977875,
-0.5568375587463379,
-0.4145461618900299,
-1.1619962453842163,
0.13407887518405914,
... |
Q: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@KyraNadiya_: These hoes ain't loyal ; no they ain't http://t.co/h1UBsVbkGl"
Smfh & wonder why nobody decent wants them
Label: Offensive
A: | true | 7 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.117663860321045,
1.027500867843628,
0.34882989525794983,
0.3809189200401306,
-0.7872521281242371,
-1.3558273315429688,
0.1695472002029419,
0.5067570805549622,
-0.05948720499873161,
0.07302524894475937,
-0.0387338362634182,
-0.07580851018428802,
-1.2456165552139282,
-0.4246142506599426,
... |
Teacher: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Teacher: Now, understand the problem? If you are still confused, see the following example:
7
Solution: Yes
Reason: 7 is a prime number as it has no factors greater than 1. So, it can't be made by multiplying other whole numbers and the answer is 'Yes'.
Now, solve this instance: 91042
Student: | No | 2 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.21693994104862213,
0.9997367858886719,
0.23428724706172943,
-0.09544926881790161,
-0.13855484127998352,
-0.35296085476875305,
0.7000536918640137,
0.9309839010238647,
0.3312728703022003,
-0.19119733572006226,
-0.4583156704902649,
-0.047996509820222855,
-0.46604350209236145,
0.10054343938... |
Teacher:Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: ការកាត់ទោសនេះត្រូវបានកំណត់ចាប់ផ្តើមនៅខែមិថុនាទី3 និងការចោទប្រកាន់ជាច្រើនដែលពួកគេប្រឈមមុខនឹងត្រូវបានផ្អែកលើច្បាប់សេវាកម្មស្មោះត្រង់សហព័ន្ធមួយ។
Student: | 裁判は六月三日に始まることになっており、彼らが直面する多くの嫌疑が連邦の公正行政法に基づいている。 | 6 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.19334271550178528,
0.2833596467971802,
-0.17654308676719666,
-1.1115434169769287,
-0.3733745813369751,
-0.6172876358032227,
0.45163416862487793,
0.42311590909957886,
-0.3886393904685974,
-0.5088772773742676,
0.22779503464698792,
0.24207313358783722,
-0.7421310544013977,
0.260428726673126... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Ex Input:
Question: How old was Jennie Jerome when her granddaughter Lady Eden was born? Passage:Lady Eden was born in 1920, the daughter of Major Jack Spencer-Churchill (1880–1947), the younger brother of Winston Churchill, by his marriage to Lady Gwendoline ("Goonie") Bertie (1885–1941), a daughter of the 7th Earl of Abingdon, who had been married in 1908. She is thus a niece of Winston Churchill, who was Prime Minister during the Second World War, and a granddaughter of Lord Randolph Churchill, Chancellor of the Exchequer 1886–87, and his wife the American society beauty Jennie Jerome. Her paternal great-grandfather was the 7th Duke of Marlborough, and her maternal great-great-grandfather the 3rd Marquess of Londonderry, half-brother of the 2nd Marquess, who, as Viscount Castlereagh was Foreign Secretary during the Congress of Vienna of 1815 that followed the Napoleonic Wars.
Ex Output:
b
Ex Input:
Question: What age is the person who plays Ernst Stavro Blofeld? Passage:The story sees Bond pitted against the global criminal organisation Spectre and their leader Ernst Stavro Blofeld (Christoph Waltz). Bond attempts to thwart Blofeld's plan to launch a global surveillance network, and discovers Spectre and Blofeld were behind the events of the previous three films. The film marks Spectre and Blofeld's first appearance in an Eon Productions film since 1971's Diamonds Are Forever; a character resembling Blofeld had previously appeared in the 1981 film, For Your Eyes Only, but, because of the Thunderball controversy, he is not named, nor is his face shown. Several James Bond characters, including M, Q and Eve Moneypenny return, with new additions Léa Seydoux as Dr. Madeleine Swann, Dave Bautista as Mr. Hinx, Andrew Scott as Max Denbigh and Monica Bellucci as Lucia Sciarra.
Ex Output:
b
Ex Input:
Question: Where was the person who Orwell was a critic of born? Passage:According to Orwell, the fable reflects events leading up to the Russian Revolution of 1917 and then on into the Stalinist era of the Soviet Union. Orwell, a democratic socialist, was a critic of Joseph Stalin and hostile to Moscow-directed Stalinism, an attitude that was critically shaped by his experiences during the Spanish Civil War. The Soviet Union, he believed, had become a brutal dictatorship, built upon a cult of personality and enforced by a reign of terror. In a letter to Yvonne Davet, Orwell described Animal Farm as a satirical tale against Stalin (""), and in his essay "Why I Write" (1946), wrote that Animal Farm was the first book in which he tried, with full consciousness of what he was doing, "to fuse political purpose and artistic purpose into one whole".
Ex Output:
| b
| 1 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.384980171918869,
0.6583414077758789,
-0.36385130882263184,
-0.32941266894340515,
-0.0918426364660263,
-0.11892233788967133,
0.6446458697319031,
0.9948015809059143,
0.39236652851104736,
-0.00411068694666028,
-0.2004658579826355,
0.5298242568969727,
-0.5966435670852661,
0.09588725864887238... |
Teacher:"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Teacher: Now, understand the problem? Solve this instance: Prompt: Let me put it in my 4-track and see what happens. Thank god I have one of these.
Response 1: I think I am me. Except for in 2009 when someone stole my security number. I've been myself the whole time.
Response 2: Oh, Mr. Madison, he means well, but he keeps giving us things that we're not able to use.
Student: | Response 2 | 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.02698185108602047,
0.8358622789382935,
0.3749368488788605,
-0.3836950659751892,
0.3039204478263855,
-0.8814849853515625,
0.3794761598110199,
0.4648698568344116,
-0.0017229851800948381,
-0.3269692659378052,
-0.4618806838989258,
0.03917336463928223,
-0.8823169469833374,
-0.1274585723876953... |
Q: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Statement1: Fotograf je naveo dijete da se nasmije.
Statement2: Fotograf je brzo uslikao dijete.
A: | effect | 7 | NIv2 | task1629_copa_hr_classification | zs_opt | [
-1.1518350839614868,
0.37519627809524536,
-0.39852556586265564,
-0.14673276245594025,
-0.5707440376281738,
-0.3112868070602417,
0.07423068583011627,
0.14117690920829773,
0.1614447832107544,
-0.21530722081661224,
-0.18269270658493042,
0.47597041726112366,
-0.8475477695465088,
0.478062212467... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Hat was damaged before shipping. The damage affected the quality. Company made the situation right and I would buy from them in the future. Very appropriated!!
4
If you just need to consume some calories and protein, this works. It definitely doesn't taste amazing or even remotely natural, and it's a bit on the thick side, but for convenience it's completely fine and the after taste dissipates pretty quickly. Tastes a bit like cheap chocolate with sweetener but as I said, the taste fades fast.
4
I'm thrilled with this watch. It's beautiful, and fits my wrist perfectly. It isn't a Submariner, but it's got to be the best value in automatic dive watches available. Mine is getting +4 and -3 out of the box.
| 4
| 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.005684918724000454,
0.011185163632035255,
-0.47188660502433777,
-0.28804582357406616,
0.49884986877441406,
-0.12963584065437317,
0.5021552443504333,
0.45404601097106934,
-0.00621502660214901,
0.35980820655822754,
-0.28766727447509766,
-0.3222310543060303,
-0.7071051597595215,
-0.07103428... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Example input: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example output: 931, 7, 3432, 13245, 762
Example explanation: Here, all the elements except the first 3 from the list are '931', '7', '3432', '13245', and '762'.
Q: 6, ['L', '5583', '3777', 'D', '3537', '8003', '6199', '7471', '1833', '4677', '2965', 'N']
A: | 6199, 7471, 1833, 4677, 2965, N | 3 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.03494420647621155,
0.5381186604499817,
-0.27937138080596924,
-0.7197805643081665,
-0.4712661802768707,
-0.0798894613981247,
0.7927151918411255,
-0.08418464660644531,
-0.3151911497116089,
-0.4647408723831177,
-0.7419121265411377,
0.10809892416000366,
0.00920303538441658,
-0.40369117259979... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
Example Input: Да, жестокий век — жестокая страна :(
Example Output: surprise
Example Input: Почему он поехал в общем автобусе, если у бизнеса трансфер до самолета обычно отличается?» — недоумевает супруга арбитра.
Example Output: fear
Example Input: ฉันชอบวิดีโอ Это Веселый Minecraft,Детка #2 ;)
Example Output: | sadness
| 3 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.5547059774398804,
-0.2316902130842209,
0.12955282628536224,
-0.41432809829711914,
-0.6357820630073547,
0.25302398204803467,
0.6119809150695801,
0.801331102848053,
-0.12689727544784546,
-0.3986608386039734,
-0.5669080018997192,
-0.14190542697906494,
-0.339364230632782,
0.0419611781835556... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : So a few years back my wife (GF at the time) and I met up with some friends for a birthday dinner. We were introduced some new people, including a newly married couple.
Anyway, after dinner, we were all invited to go hang out at the Married Couples apartment. They had just moved there, and wanted to show off the place.
While hanging out, they very nicely offered refreshments, and we sat around while they talked about how they had just used all their savings to move in and buy all brand new furniture, including the rug under my feet.
Well, I looked down, and I just couldn’t help noticing something odd about it. The pattern in the rug was sort of, window/box like. But upon further inspection, it was plain to see. Nazi Swastikas symbols were accidentally all over the pattern.
It was one of those, once you see it, you can’t unsee it.
If I had a picture of the rug, I’d have put it on the crappydesign subreddit immediately. But this was a few years ago, and this story just came to mind now.
Anyway, I thought about it for a few minutes whether I should tell them about the pattern in the rug, or just let them live blissfully without ever knowing.
But deep down I just felt bad, and especially since they were a nice Jewish couple. I’m half Jewish, so I know I’d wanna know.
So I told them. I had just met these people, and now they knew they had a secret Nazi rug that they just spent a lot of money on.
I never spoke or saw them ever again. But I’m going to assume they got rid of the rug and bought a new one.
Am I the asshole for telling them, resulting in them most likely having re-purchase another expensive rug?
A: no
****
Q: Is AUTHOR wrong in the post ? POST : I've known this person for 2 years and I have talked her out of suicide 3 times. And everytime we talked which was every other day, it was about how bad he life was.
Every time I talked to her, I would have a major anxiety attack and even just thinking about gives me major anxiety. So my parents told me to delete the messaging app and I agree with them. I hate having a major anxiety attack every time my phone vibrates.
Whenever I couldn't respond, work, school, etc. she would try and make me the one at fault for not paying enough attention to her.
A: no
****
Q: Is OTHER wrong in the post ? POST : tl:dr at the bottom.
Ok so I'm a mobile user so no paragraphs.
So my classmate (M 15) is this super famous guy who has this super huge following. He wrote on a piece of paper His name and my name(M 15). He knows that I'm not that famous because I just like sitting in the corner listening to the teacher. So he asked each of our classmates to vote who they like better. Obviously, they chose my classmate.
The thing is, this isn't the first time he did this. I have politely asked him to stop before but he never does. This is now the 5th time he did this to me. We had like a super fucking long conversation that went like this.
Me: Wtf man why did you do this again
Him: I just wanted to see who they liked better.
Me: I've had enough of your bullshit *name*. Can you just fucking stop you shithole.
He stopped and started CRYING like I was devilspawn.
My classmates said that I was an asshole but I think they were biased towards him.
So Reddit, AITA?
tl:dr: Classmate asks whole class who they like more. Pisses me off because he did it 5 times already. I cuss at him. He cries like I am the devilspawn.
A: | yes
****
| 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.3056327998638153,
0.11948741972446442,
-0.32271134853363037,
0.41880422830581665,
0.3154250383377075,
-0.621208906173706,
1.024287462234497,
0.9278440475463867,
-0.12012545019388199,
-0.0951559990644455,
0.05186924710869789,
0.339588463306427,
-0.9622370600700378,
-0.03773252293467522,
... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
The title makes me look like an asshole but there is a little bit more context. I am a senior in high school and have liked This girl for a while, probably since grade 9. We never really had the chance to have anything in terms of a relationship because she was always dating another guy or someone new. When our senior started, we started hanging out more and more. We would chill after school and go to the library almost everyday, all around just enjoy each other's company and make an effort to see each other everyday. Now I know that it is possible for opposite genders to be great friends, but considering she would be flirty with me, (touching, constantly laughing, she even invited me over when her parents weren't home), I assumed that she liked me. I genuinely thought that because of all this behaviour, she might actually like me. So I made the decision of asking her out... And she told me she couldn't get over her ex boyfriend. I respectfully told her I understood and it was over. It sucked it really did, but you can't have everything. So for the next couple days I was obviously a little bit upset because rejection is nothing to be happy about, so I made a little distance between us, and this made her very angry. She messaged me saying how I was being selfish and how I was being too emotional. The funniest part is, she lied to me, my good friend informed me right after that she actually is seeing someone at the moment. Now this would make me really upset, but I figured that she lied to spare me from greater harm, instead of saying shes seeing someone, I guess she layed me down easier. So i started ignoring her, and she is still upset about it. This was a while ago and we are still semi friends. AITA? | asking a girl out, she rejects me, and I get upset about it | 0 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.036151327192783356,
0.07781204581260681,
0.17903488874435425,
-0.3906402587890625,
0.36273807287216187,
-0.3474839925765991,
0.5946674346923828,
0.6297610998153687,
-0.1660197675228119,
-0.20726391673088074,
0.14468295872211456,
0.505052924156189,
-0.8166355490684509,
0.00496549345552921... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Example Input: Passage: Born on the New Year's Day of 1966 at Khargapur in the Indian state of Madhya Pradesh, Sangita Mukhopadhyay completed her MSc with a gold medal and did her doctoral studies at the Regional Medical Research Center, Bhubaneswar which fetched her a Phd from Utkal University in 1998 for her thesis on immunoregulation in filariasis. Subsequently, she did the post-doctoral work at the National Institute of Immunology and, later, in U.S.A. at the University of Texas Health Science Center at Houston. On her return to India, she joined the Central Drug Research Institute in 1999 and after a short stint, moved to the Centre for DNA Fingerprinting and Diagnostics (CDFD). She later became the head of the Molecular Biology Group at the Laboratory of Molecular and Cellular Biology of the institute and holds the position of a Grade IV staff scientist. At her laboratory, she hosts many research scholars who are involved in the studies in the disciplines of cell signaling and signal transduction, immunity, macrophage biology and tuberculosis.
Link Information: Its capital is Bhopal Answer: Bhopal
Example Output: What is the capital city of the Indian state in which Mukhopadhyay was born?
Example Input: Passage: Ali was one of several men hired by the United States Army to introduce camels as beasts of burden to transport cargo across the "Great American Desert." Eight of the men – including Ali – were of Greek origin. They arrived at the Port of Indianola in Calhoun County, Texas on the . The book Go West Greek George by Steven Dean Pastis, published in both Greek and English, specifically identifies all eight men. These pioneers were Yiorgos Caralambo (later known as Greek George), Hadji Ali (Hi Jolly, a.k.a. Philip Tedro), Mimico Teodora (Mico), Hadjiatis Yannaco (Long Tom), Anastasio Coralli (Short Tom), Michelo Georgios, Yanni Iliato, and Giorgios Costi. The Americans acquired three camels in Tunis, nine in Egypt and 21 in Smyrna: 33 in all. Ali was the lead camel driver during the US Army's experiment with the U.S. Camel Corps in using camels in the dry deserts of the Southwest. After successfully traveling round trip from Texas to California, the experiment failed, partly due to the problem that the Army's burros, horses, and mules feared the large animals, often panicking, and the tensions of the American Civil War led to Congress not approving more funds for the Corps. In 1864, the camels were finally auctioned off in Benicia, California, and Camp Verde, Texas. Ali was discharged from the Quartermaster Department of the U.S. Army at Fort McDowell in 1870.
Link Information: Ali was discharged from the Quartermaster Department of the U.S. Army at Fort McDowell in 1870. Answer: Arizona
Example Output: The lead camel driver was discharged from the Army in what state?
Example Input: Passage: At the time of his ordeal, Berk was the regional dean of the Texas Tech medical branch in Amarillo, but on August 1, 2006, he was moved to the high position at the Lubbock campus. There are two other branch campuses in Odessa and El Paso. At the time of his abduction, Berk was at home on Sunday morning with his younger son, Justin. The older son, Jeremy, was away in college. Berk's wife, Shirley H. Berk (born c. 1950), a microbiologist who had served on a school board while they lived in Johnson City, Tennessee, was at church. The culprit, Jack Lindsey Jordan (born in 1963 in Seminole, Texas), gained entry from an open rear garage door and an unlocked back entrance to the residence. Normally, both the garage and the back door would have been locked. Jordan demanded money and jewelry to pay for transportation and narcotics, particularly methamphetamines, as he proceeded along Interstate 40 west toward New Mexico. After being held for four hours in Jordan's vehicle on a cool, windy day, common to the Panhandle in March, Berk was released unharmed near a gasoline station in rural Bushland in southwestern Potter County. This life-threatening event propelled the physician to write about his ordeal. He interlaces the narrative with much of his life story, from his birth in New York City, his childhood in New Jersey, his medical education at Boston University School of Medicine, his work in the fields of infectious diseases,geriatrics, and internal medicine at the East Tennessee State University James H. Quillen College of Medicine in Johnson City, and his relocation to Amarillo, his adopted city which he had grown to love. Since the events of 2005, Dr. Berk has been transferred to the main medical campus in Lubbock.
Link Information: the city has a total area of 44.0 sqmi Answer:
El Paso
Example Output: | Which city was larger at the time Berk was moved to the Lubbock campus, Odessa or El Paso?
| 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.38307055830955505,
0.38908737897872925,
-0.9058466553688049,
0.162179097533226,
0.2744641900062561,
-0.33805638551712036,
0.8600542545318604,
0.9327131509780884,
-0.09594257920980453,
0.21028822660446167,
-0.11299045383930206,
0.9657675623893738,
-0.5844196081161499,
0.2949586510658264,
... |
Q: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
23. Identity
A: | Yalatha | 7 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.15831506252288818,
0.9823859930038452,
0.3675028085708618,
-0.5358144044876099,
-0.8086983561515808,
-0.8880537748336792,
1.6369339227676392,
-0.13746115565299988,
0.2990202307701111,
-0.3197200298309326,
-0.09375498443841934,
-0.43141961097717285,
-0.8016759157180786,
-0.515644550323486... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Example: Passage: He did not think he would get sunburn because he was black
Output: race-color
This is a stereotype regarding race-color because darker-skinned people are less likely to experience sunburn.
New input case for you: Passage: Kyle stayed late at work and many nights didn't even come home. He worried his partner sick.
Output: | gender | 1 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
-0.049901898950338364,
0.447174072265625,
-0.039668530225753784,
-0.0005202438915148377,
-0.168878436088562,
0.1477147936820984,
0.4746275246143341,
0.9983236789703369,
0.4676210284233093,
0.30511897802352905,
-0.35936105251312256,
0.19659456610679626,
-0.5489840507507324,
0.00030404748395... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 1, 2, ['K', 'B', '8527', 'Y']
A: | K, 8527 | 4 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.2841293215751648,
0.5985950827598572,
-0.7130294442176819,
-0.6391904950141907,
-0.5228915810585022,
-0.38783109188079834,
0.4283719062805176,
-0.344419002532959,
-0.2029266208410263,
0.06918445974588394,
-0.5014330148696899,
-0.4775431454181671,
0.4033859968185425,
0.48317667841911316,
... |
Detailed Instructions: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Tweet: Gagging for a jacket potato with Cheese and Beans!!! You just cant get decent potatos out here! Question: is it a negative tweet?
A: | yes | 9 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.8468759059906006,
0.0412508100271225,
0.6478996276855469,
0.5907617211341858,
0.04007238522171974,
-1.14300537109375,
0.17205260694026947,
0.7489113807678223,
0.2652567923069,
-0.23695099353790283,
-0.3280567526817322,
-0.15004314482212067,
-0.04090241342782974,
-0.32520532608032227,
... |
Detailed Instructions: 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.
Q: Sentence1: I joined my buddy's group because they needed one more person. Sentence2: I've never played before in my life. Sentence3: I ended up winning first place! Sentence4: I was very excited.
A: | 1, I joined a fantasy football league for the first time this year. | 9 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.3135014772415161,
0.9329744577407837,
-0.3557829260826111,
-0.8618752956390381,
0.014024825766682625,
-0.40629827976226807,
1.1142487525939941,
-0.10431037843227386,
0.2974887490272522,
-0.16156885027885437,
-0.6777349710464478,
-0.7522960305213928,
-0.7015793323516846,
-0.0009526471840... |
Detailed Instructions: 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. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". 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. Short answers containing words that are present in the passage are preferred. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is a 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.
Q: Princess Ann (Hepburn) is a royal princess of an unspecified country. She is on a widely publicized tour of several European capitals, including Rome. One night, she rebels against the strenuous demands of her official duties, where every minute of her time is scheduled. Her doctor gives her a sedative in order to help her sleep, but she secretly leaves her country's embassy and goes out alone to experience Rome.The injection eventually takes effect and she falls asleep on a public bench where Joe Bradley (Peck), an expatriate American reporter, meets her, but does not recognize her. He offers her money so that she can take a taxi home, but "Anya Smith," as she calls herself, refuses to disclose where that is, saying that she should be taken to the Colosseum. Joe finally decides, for safety's sake, to let her spend the night in his apartment. He is amused by her regal manner, but less so when she appropriates his bed, leaving him the uncomfortable couch. The next morning, unable to rouse her, he goes to work.His editor, Mr. Hennessy (Hartley Power), asks him if he had covered the press conference with the princess. Joe lies, making up details of the alleged interview until Hennessy tells him that the princess had suddenly "fallen ill" and the conference had been canceled. Joe sees a picture of her and recognizes the young woman he had left sleeping in his apartment. Hennessy then threatens to fire him, and the two men end up making a bet that Joe can get an exclusive on the princess.Joe realizes he is sitting on a windfall; an exclusive story about his unsuspecting guest. He offers to show Rome to Anya, but not before getting his photographer friend, Irving Radovich (Eddie Albert), to tag along to take pictures of her without her knowledge.Hepburn and Peck embark on a Vespa ride through Rome in one of the films comedic sequences.They spend the day seeing the sights, including the "Mouth of Truth," a marble image said to bite off the hands of liars. On a whim, she gets her hair cut short in a barbershop facing the famous Trevi Fountain. She shares with Joe her dream of living a normal life without her crushing responsibilities and restrictions. That night, at a dance on a boat, government agents finally track her down and try to escort her away, but a wild melee breaks out and Joe and Anya escape. Through all this, they gradually fall in love. However, Anya realizes that it cannot be. She finally bids farewell to Joe, without revealing her true identity, and returns to the embassy.During the course of the day, Hennessy learns that the princess is missing, not ill as the embassy had claimed. He suspects that Joe knows where she is, and tries to get him to admit it, but Joe claims to know nothing about it. Knowing Joe's feelings for Anya, Irving reluctantly decides not to sell his photos.The next day, Princess Ann appears at the delayed news conference, only to find Joe and Irving among the members of the press. Irving takes her picture with the same miniature cigarette lighter/camera he had used the previous day. He then presents her with the photographs he had taken that day, as a memento of her adventure. Joe lets her know, by allusion, that her secret is safe with them. She, in turn, works into her bland press conference statements a coded message of love and gratitude to Joe. She then departs, leaving Joe to linger for a while, contemplating what might have been.
A: | Question: Who travels to Rome?, Answer: Ann | 9 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.22613662481307983,
0.025164179503917694,
-0.27690330147743225,
-0.04317197948694229,
0.07061150670051575,
0.37850916385650635,
0.3947298526763916,
0.7865599393844604,
0.26806575059890747,
-0.249829962849617,
-0.1877366006374359,
0.06894756853580475,
-0.09478747844696045,
0.16654576361179... |
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person. Mentions of people in the text don't necessarily mean the text is about a person.
Problem:Text: Aleksandr Alekseyevich Khramkov (Russian: Александр Алексеевич Храмков; born February 7 1992) is a Russian football goalkeeper who currently plays for FC Sokol Saratov.He made his debut in the Russian Second Division for FC Sokol Saratov on August 11 2011 in a game against FC Spartak Tambov.
Solution: | Yes | 8 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
0.30874913930892944,
0.4336279034614563,
0.13824225962162018,
-0.31188681721687317,
-0.5387563705444336,
-0.6833646893501282,
0.702298104763031,
0.3836965262889862,
0.25275909900665283,
-0.3067077398300171,
-0.19959717988967896,
-0.12422987073659897,
-1.1087450981140137,
0.3712171912193298... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example Input: سأوضح أكثر
Example Output: A więc zobaczmy.
Example Input: الحقيقة رقم واحد عن الكذب: الكذب عمل تعاوني.
Example Output: Prawda numer jeden: kłamstwo wymaga współpracy.
Example Input: والتي تترجم بصورة تلقائية إلى "" أنا أفكر.. إذا أنا موجود "" ولكن هنالك ترجمة أفضل
Example Output: | Potocznie są tłumaczone: "" Myślę, wiec jestem "". Ale jest lepsze tłumaczenie.
| 3 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.5985115766525269,
0.8429974317550659,
-0.22877919673919678,
-0.8588661551475525,
-0.8867119550704956,
0.22662994265556335,
1.2501331567764282,
-0.36229339241981506,
0.054789911955595016,
-0.29085826873779297,
-1.136970043182373,
0.10998885333538055,
-0.9146888852119446,
0.13678389787673... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: Consider Input: Linda extended him the courtesy
Output: Linda extended the courtesy to him
Input: Consider Input: Mary shuttled the team the students
Output: Mary shuttled the students to the team
Input: Consider Input: John grunted a man who was from work the instructions
| Output: John grunted the instructions to a man who was from work
| 2 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.8909528851509094,
1.2715530395507812,
0.20196311175823212,
-0.6789866089820862,
-0.030107323080301285,
-1.523632526397705,
0.41059038043022156,
0.1447189301252365,
0.5154809951782227,
-0.6908003091812134,
-0.47564274072647095,
0.2091955542564392,
-0.5022739171981812,
-0.2516418397426605... |
Part 1. Definition
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Part 2. Example
Poster: Stopped by Fashion Week and got to hang with Amber Fillerup (Barefoot Blonde) at Lauren Conrad's runway show. Kohl's #LCRunway Responser: You are Both Sweet Ashley Tisdale and Lauren Conrad
Answer: Positive
Explanation: The responser is praising the poster.
Part 3. Exercise
Poster: In a promising sign of bi-partisanship, Congress spoke with one voice and passed sanctions to condemn Russian aggression in Ukraine. http://www.cbsnews.com/news/house-senate-settle-differences-pass-ukraine-aid-bills/ Responser: How about passing the UNEMPLOYMENT EXTENSION immediately. Money should help American families before being sent to the Ukraine. Please support EUC!
Answer: | Negative | 7 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.355670690536499,
-0.14087846875190735,
-0.28207898139953613,
0.3488004207611084,
0.3733612596988678,
-0.24727267026901245,
0.5981190800666809,
0.46937787532806396,
0.5021218061447144,
0.3426229953765869,
-0.5262265801429749,
0.31659120321273804,
0.33214378356933594,
0.24555300176143646,... |
TASK DEFINITION: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related to sports. Label the text "2" if it contains information related business. Label the text "3" if it contains science or technical related information.
PROBLEM: New Chechen Leader Vows Peace, Poll Criticized Chechnya #39;s new leader vowed on Monday to rebuild the shattered region and crush extremists after winning an election condemned by a rights group as a show stage-managed by Moscow.
SOLUTION: 0
PROBLEM: Libraries Reach Out, Online With downloadable books and information portals, the new reading room is anywhere and everywhere.
SOLUTION: 0
PROBLEM: Google To Scan Millions Of Library Books Google announced yesterday that they have agreements with several large libraries to scan books whose copyrights have expired. Joseph O #39;Sullivan, Software engineer and Adam M. Smith, Business product manager
SOLUTION: | 3
| 8 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.16438984870910645,
0.4430791735649109,
-0.28812623023986816,
0.02955383062362671,
0.10591987520456314,
0.26901572942733765,
-0.1386062204837799,
0.32550951838493347,
0.3757687509059906,
-0.24062910676002502,
-0.44336795806884766,
0.3205883800983429,
-0.5325045585632324,
-0.3589777648448... |
Teacher: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Beginning: Helen lived in the state of Washington. Ending: Helen stayed home instead and planned to go another day.
Solution: Helen planned to drive to Canada but it started snowing heavily.
Reason: Generally, people prefer not to drive in bad weather.
Now, solve this instance: Beginning: Every year thousands of trees are cut down. Ending: He or she will make a lot of money.
Student: | People use trees for all sorts of products. | 2 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.27751439809799194,
0.5087393522262573,
-0.2794674038887024,
-0.8706950545310974,
-0.43793344497680664,
0.041180334985256195,
0.5604881048202515,
0.9068311452865601,
-0.16328255832195282,
-0.3627505898475647,
-0.27285587787628174,
0.2041349709033966,
0.05132730305194855,
-0.2395265996456... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Problem:Alcuni dei più grandi passi in avanti nella civiltà e nella tecnologia sono avvenuti perché abbiamo esplorato.
Solution: | Niektóre z wielkich osiągnięć cywilizacji i technologii pojawiły się dzięki eksploracjom. | 8 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.676182746887207,
1.1296156644821167,
-0.02284860983490944,
-0.20293773710727692,
-0.5204623937606812,
-1.2371104955673218,
-0.50096595287323,
0.05455528199672699,
-0.21633681654930115,
-0.3691592812538147,
0.1883777230978012,
-0.019970647990703583,
-0.660786509513855,
-0.020912077277898... |
Definition: Given a sentence in Chinese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Input: WORHP，也称为eNLP（欧洲NLP解算器），是一个数学软件库，用于在数值上大规模地解决连续的非线性优化问题。
Output: | WORHP, también conocida como eNLP (solucionador europeo de PNL) por la ESA, es una biblioteca de software matemático para resolver numéricamente problemas continuos de optimización no lineal a gran escala. | 2 | NIv2 | task810_pawsx_chinese_spanish_translation | zs_opt | [
-0.8420644998550415,
0.00023362122010439634,
0.5886167883872986,
-0.11952264606952667,
-0.516781747341156,
-0.16221776604652405,
0.20349740982055664,
1.1413187980651855,
0.4100825786590576,
-0.6024210453033447,
-0.9082683324813843,
0.06704089790582657,
-0.47698819637298584,
0.2652420997619... |
Given the task definition and input, reply with output. You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Question: What company ended its deal with Apple's music store in July of 2007? (Answer: Universal Music Group).
| Entity. | 5 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.5478489398956299,
0.3158342242240906,
-0.25463956594467163,
0.5564954280853271,
-0.4348539412021637,
-0.9480075240135193,
0.47905948758125305,
0.6740363836288452,
-0.4486883282661438,
-0.0191663708537817,
-0.5218584537506104,
0.3320651054382324,
-0.12476783990859985,
-0.3484556972980499,... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
One example: jump left
Solution is here: I_TURN_LEFT I_JUMP
Explanation: The agent must first turn left and then jump in order to jump to the left.
Now, solve this: run opposite left thrice after look around left twice
Solution: | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN | 6 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.1724921613931656,
0.6221813559532166,
-0.3296443223953247,
-0.042962752282619476,
0.13863514363765717,
0.05197659507393837,
0.35808223485946655,
0.16077059507369995,
-0.24061253666877747,
-0.47606390714645386,
-0.8659102916717529,
-0.33068913221359253,
-0.7510870695114136,
-0.17484614253... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Q: Context: Sitting with family. Staring at electoral map in realization about 10 min before it was official, whispering to myself "Yes he did." shonda rhimes (@shondarhimes) January 20, 2017 Question: where was shonda rhimes when she found out? Answer: sitting with her family on election night
A: | yes | 4 | NIv2 | task242_tweetqa_classification | zs_opt | [
0.006315592676401138,
0.4892239272594452,
0.3655712604522705,
0.6788766980171204,
0.07403422892093658,
-0.4581647515296936,
0.4753241539001465,
-0.07506326586008072,
0.293834924697876,
0.29996854066848755,
0.20602543652057648,
-0.046403590589761734,
-0.15989679098129272,
-0.629328131675720... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Example: Così diventa un igloo.
Example solution: این یک خانه ی اسکیمو می شود.
Example explanation: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: Una trasformazione era iniziata nella sua vita.
| Solution: تغییر در زندگی او شروع شده بود. | 5 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.1354352980852127,
0.5360448360443115,
-0.13251173496246338,
-0.32011598348617554,
0.036912716925144196,
-1.0249111652374268,
1.200977087020874,
-0.011136163026094437,
0.22741156816482544,
-0.308260053396225,
-0.7248116731643677,
0.452223539352417,
-1.0071228742599487,
0.38070741295814514... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Let me give you an example: স্তন্যপান সম্পর্কে অভিভাবকদের সচেতন ও উৎসাহদানে গুরুত্ব বিশ্ব স্তন্যপান সপ্তাহ পয়লা থেকে ৭ই আগস্ট
The answer to this example can be: 7 ऑगस्टपासून जागतिक सक्शन आठवड्यात सक्शन आणि प्रोत्साहित करणार्या पालकांचे महत्त्व
Here is why: Correct translation for given sentence. Input sentence means 'The importance of the parents about the suction and encouraging the importance of world suction weeks from 7th August' which is the same as the output sentence.
OK. solve this:
এরই সুফলে ভারত বিশ্বের দ্বিতীয় বৃহত্তম মোবাইল উৎপাদক দেশ হিসেবে পরিগণিত হয়েছে।
Answer: | नागरी उड्डाण क्षेत्रातही भारत प्रचंड वेगाने पुढे जातो आहे. | 8 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.650453507900238,
0.461358904838562,
-0.4481589198112488,
0.37636804580688477,
-0.8343469500541687,
-0.8700001239776611,
0.0583292655646801,
0.590430736541748,
-0.03642849251627922,
0.047822315245866776,
-0.695620596408844,
0.06615860760211945,
-0.528131902217865,
-0.2345345914363861,
... |
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.
Example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
Example solution: made
Example explanation: The output relationship - made, is a correct verb form of the given relationship - make, and it is also used in the given sentence
Problem: Given Relationship: 'be back', Sentence: 'Her speech was interrupted a couple of times as the crowd voiced its displeasure with her backing Hillary Clinton over Barack Obama .'
| Solution: backing | 5 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.3120903968811035,
1.2272233963012695,
-0.0329287126660347,
0.19212868809700012,
-0.3113013505935669,
-0.7416877746582031,
0.07598535716533661,
0.9887686967849731,
0.11253579705953598,
0.1808168739080429,
-0.8119086027145386,
0.731002688407898,
-0.40458598732948303,
0.1889694482088089,
... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX gives the ultimate pleasure<sep>Tail: considerate
Student: | Yes | 6 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.20398929715156555,
0.046890128403902054,
0.4949679374694824,
-0.09475093334913254,
-0.36816027760505676,
-1.040083646774292,
1.0198854207992554,
0.66478431224823,
-0.31034719944000244,
-0.24140644073486328,
-0.11107729375362396,
-0.3823035955429077,
-0.7246810793876648,
-0.23586583137512... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
این یک خانه ی اسکیمو می شود.
Solution: Così diventa un igloo.
Why? The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
New input: و واقعاً باعث پیشرفت توانایی ما در نجات جنگل ها و کنترل تغییر اقلیم شده است.
Solution: | Sta facendo progredire la nostra abilità di salvare le foreste e di limitare i cambi climatici. | 0 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.4558435380458832,
0.5634630918502808,
-0.35019153356552124,
-0.508937418460846,
-0.6856814622879028,
-1.2988226413726807,
0.8614238500595093,
0.42191627621650696,
0.141081303358078,
-0.5030766129493713,
-0.495805025100708,
0.7291172742843628,
-0.7299139499664307,
0.3462270498275757,
0... |
Given a premise and two alternatives in Marathi, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The premise is the 'विधान' field and the alternatives are the 'पर्याय A' and 'पर्याय B' fields The output should either be "पर्याय A" or "पर्याय B" based on your judgment.
विधान: कंपनीचा नफा कमी होऊ लागला.
पर्याय A: हे नवीन उत्पादनांसाठी विपणनाचे प्रयत्न वाढवते.
पर्याय B: हे मुख्यालय उपनगरी ठिकाणी हलविले.
पर्याय A
विधान: ग्रंथालयाने पुस्तक स्टॅकमध्ये स्थित केले.
पर्याय A: मी ग्रंथालयाच्या मदतीची विनंती केली.
पर्याय B: पुस्तक तपासले गेले.
पर्याय A
विधान: घड्याळाने टिक करणे थांबविले.
पर्याय A: मी तयार होण्यासाठी अतिरिक्त वेळ घेतला.
पर्याय B: घड्याळाने चुकीची वेळ दर्शविली.
| पर्याय B
| 0 | NIv2 | task942_copa_mr_commonsense_reasoning | fs_opt | [
-0.5235328674316406,
0.13672767579555511,
-0.06852230429649353,
0.19129997491836548,
-0.7769571542739868,
-0.3371563255786896,
0.36354249715805054,
0.5339623689651489,
0.5007539391517639,
-0.11889312416315079,
-0.8805174827575684,
-0.43815600872039795,
-0.32295286655426025,
0.0572676509618... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example: A man is spreading shreded cheese on a pizza.
Example solution: Un bărbat pune brânză mărunțită pe o pizza.
Example explanation: In the given translation process, the tense of both sentences, quantitative measures, entity name, the polarity of the sentence remains the same.
Problem: Two brown dogs chase each other in the snow.
| Solution: Doi câini maro se fugăresc unul pe altul prin zăpadă. | 5 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.561175525188446,
0.524744987487793,
0.34936174750328064,
-0.4216890335083008,
-0.11975934356451035,
0.12985529005527496,
1.2329537868499756,
0.9015328884124756,
0.6807230114936829,
-0.6731070876121521,
-0.42942991852760315,
1.0390617847442627,
-0.5548852682113647,
0.15238723158836365,
... |
Given the task definition, example input & output, solve the new input case.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Output: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.
New input case for you: ['so', "we're", 'asked', 'to', 'solve', 'for', 'X', 'and', 'we', 'have', 'this', 'equation', 'with', 'absolute', 'values', 'in', 'it', 'so', "it's", '4', 'times', 'the', 'absolute', 'value', 'of', 'x', 'plus', '10', 'plus', '4', 'is', 'equal', 'to', '6', 'times', 'the', 'absolute', 'value', '6', 'times', 'the', 'absolute', 'value', 'of', 'x', 'plus', '10', 'plus', '10', 'and', 'at', 'first', 'this', 'looks', 'really', 'daunting', 'but', 'the', 'key', 'is', 'to', 'just', 'solve', 'for', 'this', 'absolute', 'value', 'expression', 'and', 'then', 'go', 'from', 'there', 'let', 'me', 'just', 'rewrite', 'it', 'so', '', 'the', 'absolute', 'value', 'expression', 'really', 'jumps', 'out', 'so', 'this', 'is', '4', 'times', 'the', 'absolute', 'value', 'of', 'x', 'plus', '10', 'plus']
Output: | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.38037043809890747,
0.11116594076156616,
0.08638930320739746,
0.23890948295593262,
0.6210439205169678,
-0.41372549533843994,
0.510610044002533,
1.0491828918457031,
-0.2911575138568878,
0.08121374249458313,
0.19043414294719696,
-0.48629218339920044,
-0.35843759775161743,
-0.017971929162740... |
Part 1. Definition
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Part 2. Example
I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite happy with this purchase. It fit my MacBook Pro perfectly, with a little bit of room to spare.
Answer: Pleasantly surprised
Explanation: The review is positive and the user liked the product very much based on the given review, and the title correctly resembles to review.
Part 3. Exercise
I love it. The price is absolutely worth it and I highly recommended it. It serves it's purpose and love the fact that my screen is so clear. Great durability and quality.
Answer: | Tech Armor Anti-flare | 7 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.004024474881589413,
0.08595141023397446,
-0.41661715507507324,
-0.06291317939758301,
0.32993435859680176,
-0.3478643298149109,
0.8474389910697937,
0.09534378349781036,
0.612978994846344,
0.2611970901489258,
-0.126257985830307,
0.17993199825286865,
-0.917021632194519,
-0.1143734455108642... |
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