inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: This bill, however, is distinguishable because it limits specific representation and does not restrict lawyers in the manner of that representation. Choices: 1. The bill would severely limit specific representation. 2. The bill would not impact lawyers for representation. 3. The bill doesn't change anything for lawyers.
3
Statement: Each fall the temple has a special night-time illumination of its many maple trees, their flaming reds and oranges highlighted with strategically placed pin-spotlights. Choices: 1. The maple trees were planted by priests at the temple over a hundred years ago. 2. At nighttime during fall, the maple trees at the temple are lit up by spotlights. 3. The monks at the temple recently felled all of their maple trees and sold them for firewood.
3
Statement: Oh! Tuppence jumped. Choices: 1. Tuppence stayed put. 2. Tuppence leapt and landed on the floor. 3. Tuppence leapt.
| 1
| 0 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
-0.1285030096769333,
0.03304058685898781,
-0.49766939878463745,
0.13423778116703033,
-0.2550821304321289,
-1.0846595764160156,
0.6780792474746704,
1.028739333152771,
-0.427767276763916,
0.1492421180009842,
-0.7703877687454224,
0.2973165214061737,
-0.3150175213813782,
-0.11773498356342316,
... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets.
Example input: [-7, -1, 8, 7, -8]
Example output: [21, 3, 16, 14, 24]
Example explanation: Every negative number is multiplied by -3 and every positive number is multiplied by 2. So this is a good example.
Q: [-99, -38, -16, -6, 12, -22, -34, 36, -19, -8, -8]
A: | [297, 114, 48, 18, 24, 66, 102, 72, 57, 24, 24] | 3 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.4013000726699829,
0.5083529949188232,
-0.2938265800476074,
-0.1592881679534912,
0.18602681159973145,
-0.3195790946483612,
1.2630609273910522,
0.25962546467781067,
-0.41026824712753296,
0.14468206465244293,
-0.5340680480003357,
0.5622289180755615,
-0.47749701142311096,
-0.314613610506057... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
[Q]: Head: PersonX begs to differ<sep>Tail: PersonX gets upset and storms off
[A]: Yes
[Q]: Head: PersonX practices diligently<sep>Tail: PersonX performs the concert
[A]: Yes
[Q]: Head: PersonX accidentally left ___<sep>Tail: to put their purse down
[A]: | No
| 5 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.5050032138824463,
0.34901612997055054,
0.07017768919467926,
-0.1481913924217224,
-0.5929505228996277,
-0.7363614439964294,
0.9715934991836548,
0.6167015433311462,
-0.4249233603477478,
-0.3406233489513397,
-0.49335378408432007,
-0.27879828214645386,
-0.7897621989250183,
-0.007757124491035... |
TASK DEFINITION: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
PROBLEM: CONTEXT: Short answer: No.Long answer: this could probably be made to work, but only for a short time. At some point, and probably within a few uses, the rapid heat cycling from the fire would cause the pizza stone to crack.Pizza stones are made from corderite or clay, sometimes with grog. This offers a smoother surface than firebrick, but that smooth surface is because of a higher amount of vitrification and less airspace in the ceramic. This means they are less resistant to cracking due thermal shock, and the fact that your pizza stone is 1/4 a thick as firebrick makes that worse.In contrast, firebrick is a standard 2.5" thick, and made from higher-temperature materials with more airspace in the clay itself. These properties give it both higher thermal insulation, and higher thermal mass (so that it cools down slower). Both of these properties help it resist cracking. <sep> Q: Pizza stone as floor pizza oven vs firebrick A: This offers a smoother surface than firebrick <sep> FOLLOWUP_Q: Does it get as hot as firebrick?
SOLUTION: Yes
PROBLEM: CONTEXT: There is some difference between the flavor, but seeing as there are so many other predominant flavors in Worcestershire sauce and that fact that you're (hopefully) not drinking it straight, it's fairly insignificant. It's very common for one product produced in different countries to have a range of manufacturing differences, sometimes arbitrary, sometimes to suit the local palate, and sometimes because of costs, hence people calling American Lea & Perrins a "knockoff."I've had both, and can assure you that once you've mixed it into a casserole or marinade you won't really miss anything. If you're striving for needlessly authentic British flavor you could always add a little malt vinegar to whatever you're cooking! <sep> Q: Is there a difference between US Worcestershire sauce and UK Worcestershire sauce? A: I've had both, and can assure you that once you've mixed it into a casserole or marinade you won't really miss anything Q: Is one more authentic than the other? A: hence people calling American Lea & Perrins a "knockoff Q: Is there a difference between using malt and white vinegar? A: If you're striving for needlessly authentic British flavor you could always add a little malt vinegar to whatever you're cooking <sep> FOLLOWUP_Q: Is there really a difference between the two?
SOLUTION: No
PROBLEM: CONTEXT: Marshmallows expand so much because the water in them becomes steam, and gas takes up a LOT more volume than liquid. Specifically, 1 mL of water becomes ~1.36 LITERS of vapor, before it gets heated further. That's 1000-fold expansion, before you add additional expansion as the gas is heated. Marshmallows don't have all that much water content, but when it's trapped in a stretchy gelatin matrix that holds gas readily, it only takes a bit to blow the whole thing up like a balloon.You are correct that the gas expansion on its own is insufficient; unless I've badly muddled my calculations, gas expansion from 20C to ~150C (caramelization temperature) will increase the gas volume by under 50%. <sep> Q: Why do marshmallow get so puffed up in the microwave? A: Marshmallows expand so much because the water in them becomes steam, and gas takes up a LOT more volume than liquid Q: How big can they get? A: 1 mL of water becomes ~1.36 LITERS of vapor <sep> FOLLOWUP_Q: Do they ever get so big they explode?
SOLUTION: | No
| 8 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
1.3080863952636719,
-0.14185330271720886,
-0.27624380588531494,
0.43123626708984375,
0.9031108617782593,
-0.6707804203033447,
1.1868093013763428,
0.9381199479103088,
-0.17332221567630768,
0.5006170868873596,
0.5709370374679565,
0.48228150606155396,
-0.8246772289276123,
0.47065412998199463,... |
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 the Head includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. 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 always ate<sep>Tail: to take a nap
Output: | No | 2 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.23626896739006042,
0.18170498311519623,
0.1260324865579605,
-0.23157288134098053,
-0.6091710925102234,
-0.6231810450553894,
1.3047574758529663,
0.18531587719917297,
-0.6313912868499756,
-0.5032738447189331,
-0.4841076135635376,
-0.5728701949119568,
-1.115586280822754,
0.3037831783294678,... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
Output: Tom had gone into the store before he was seen by Jon.
Tom must have gone into the store to come out of it.
New input case for you: Sentence 1: A man dribbles a ball during a basketball game. Sentence 2: A man is part of the home team of a basketball game.
Output: | A man is a player in a basketball game. | 1 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
0.06408543884754181,
0.7280782461166382,
-0.08953595161437988,
-0.13669148087501526,
0.3834838271141052,
-0.07861369103193283,
0.06397286057472229,
0.5900204181671143,
0.4508313834667206,
-0.2829383313655853,
-0.5728253126144409,
-0.1344553828239441,
-0.1718253344297409,
-0.256686538457870... |
Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Input: Liam entered the sunroom. Sophia entered the sunroom. The grapes is in the red_bottle. Sophia exited the sunroom. Liam moved the grapes to the red_crate. Liam exited the sunroom. Sophia entered the sunroom. Where does Liam think that Sophia searches for the grapes?
Output: | red_bottle | 3 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.5107436180114746,
0.04850871115922928,
0.0723363384604454,
-0.7060325145721436,
-0.5191063284873962,
-0.5191622376441956,
-0.27353259921073914,
0.8043296337127686,
0.13630491495132446,
-0.07261932641267776,
-0.2445262223482132,
0.37775617837905884,
0.052864253520965576,
-0.2521054446697... |
In this task, you are to Translate German text to English
[Q]: Durch die Anordnung der Fräs- und Brecherwerkzeuge (2) auf der Stirnseite und dem Umfang der Frästrommel wird der gelöste Boden in Richtung auf die nachfolgende Mischtrommel bewegt.
[A]: By disposing the cutting and breaking tools (2) at the front and periphery of the cutting drum, the loosened soil moves in the direction of the subsequent mixing drum.
[Q]: Der Strumpf wird durch die geschlossenen Bänder (8) gehalten.
[A]: The stocking is held by the closed belts (8).
[Q]: Die Erfindung betrifft auch eine Oxidkathode.
[A]: | The invention also relates to an oxide cathode.
| 5 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.15918408334255219,
0.6355708241462708,
-0.9109809994697571,
0.36303505301475525,
-0.11055620014667511,
-0.229969322681427,
0.5406975746154785,
0.6549676656723022,
-0.0760577917098999,
0.6250035762786865,
-0.8212147951126099,
0.16828525066375732,
-0.13618862628936768,
0.04974846541881561... |
Given a sentence in German, generate a new German 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.
Q: Sie werden wahrscheinlich ein Puzzle in einer Zeitung finden.
A: | Sie werden wahrscheinlich ein Puzzle in einem Strand zu finden. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.43609386682510376,
0.7677880525588989,
0.24889947474002838,
-0.26559343934059143,
0.0031319493427872658,
-0.07381168007850647,
1.1101711988449097,
0.8164666295051575,
0.21311813592910767,
-0.6287053227424622,
-0.7713109254837036,
0.09291394054889679,
-1.1020724773406982,
0.3028987050056... |
Definition: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related to the content of the paragraph and/or the question so that the readers are forced to read the whole paragraph to infer its [in]correctness. Additionally, an incorrect answer should be of the same semantic type as the given correct answer (e.g., both can be names of locations). If you think the given incorrect answer is good(and incorrect), indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible:"Yes" and "No".
Input: Paragraph- Sent 1: The protagonist Preetam ( ( ( Ganesh , on a visit to Eva Mall amidst a heavy wind , spots a pretty girl , Nandini .
Sent 2: While staring at her , he inadvertently falls into a manhole .
Sent 3: Nandini rescues him from the pit , but in the process loses her heart-shaped watch she had just bought .
Sent 4: While accompanying his mother to Madikeri , Preetam confronts a man named Jaanu .
Sent 5: Jaanu , who has been following Nandini , beats up Preetam thinking that he is in love with Nandini .
Sent 6: Preetam , unaware that Jaanu has vowed not to allow any one near Nandini , trashes Jaanu and his gang in return .
Sent 7: In Madikeri , Preetam meets Nandini unexpectedly .
Sent 8: He identifies himself and expresses his love towards her and offers to tie the watch as an indication for their marriage .
Sent 9: Nandini , who is already engaged rejects his request .
Sent 10: Still , Preetam vows to marry Nandini if she meets him again .
Sent 11: In the meantime , Preetam discovers that his host in Madikeri , Col. Subbayya is Nandini 's father , who is pretty much deaf , and Nandini 's marriage is a just a week away .
Sent 12: Dejected , Preetam throws Nandini 's heart-shaped watch away .
Sent 13: But Nandini calls him over the phone and taunts him to return .
Sent 14: Delighted , Preetam goes in search of her watch and brings it back .
Sent 15: While searching it , he spots a rabbit , which he calls Devadas , and brings it along with him .
Sent 16: Since Nandini 's friends are due to arrive from Mumbai for the marriage , Preetam takes Nandini to the railway station .
Sent 17: The train from Mumbai is delayed by five hours , so Nandini and Preetam decide to visit a nearby hill-temple .
Question: Why did Preetam throw away Nandinis watch and what did she do in return?
Incorrect Answer: He throws away the watch because she tells him she will never love him and she never speaks to him again.
Output: | Yes. | 2 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.5726234912872314,
0.36531057953834534,
-0.35505130887031555,
0.5113770365715027,
0.15392190217971802,
0.19108128547668457,
0.29960325360298157,
0.33759841322898865,
-0.11459062993526459,
-0.013089231215417385,
-0.8180140256881714,
0.44016197323799133,
-0.5147518515586853,
-0.022401735186... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
This is an OK hot cocoa. I had been using Land O'Lakes product, but wanted to try this for a change. The taste is comparable, but the portions in each packet is smaller. I still like Land O'Lakes hot cocoa better.
| So so | 5 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.5989958643913269,
0.8541280627250671,
0.18086472153663635,
-0.3954373002052307,
0.09313665330410004,
-0.4491354823112488,
0.25108757615089417,
0.14841166138648987,
-0.14660903811454773,
0.16909700632095337,
-0.13744980096817017,
-0.3550777733325958,
-0.5263837575912476,
0.08202007412910... |
Detailed Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) being sarcastic out loud during class
(B) not wanting to celebrate my mother's birthday
A: | B | 9 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.016484994441270828,
0.677812933921814,
0.3350803852081299,
-0.5469147562980652,
-0.6020765900611877,
-0.5597326755523682,
-0.35283172130584717,
0.8127766847610474,
0.4052306115627289,
0.6879278421401978,
0.06503622233867645,
-0.1979028582572937,
0.06729535758495331,
-0.9908422231674194,... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Context_1 : Nicola Sutter (born 5 May 1995) is a Swiss professional footballer who currently plays as a midfielder for FC Thun. Context_2 : Dennis Hediger (born 22 September 1986, in Switzerland) is a Swiss professional footballer who currently plays as a midfielder for FC Thun in the Swiss Super League. Context_3 : FC Thun ("Fussballclub Thun 1898") is a Swiss football team from the Bernese Oberland town of Thun. The club currently plays in the Swiss Super League after being promoted in the 2009/10 season. The club plays at the Stockhorn Arena which accommodates a total of 10,000 supporters, both seated and standing. The club's colours are red and white. Context_4 : FC Dürrenast is a football team from Thun, Switzerland. The team currently plays in the Bern/Jura regional competition of the Swiss football pyramid. Context_5 : Nicolas Schindelholz (born 12 February 1988 Switzerland) is a Swiss professional footballer who currently plays as a defender for FC Thun in the Swiss Super League. Context_6 : Edmond Lekaj (born 25 August 1994) is an Albanian, Swiss professional footballer who currently plays as a midfielder for FC Thun in the Swiss Super League. Context_7 : Mickaël Facchinetti (born 15 February 1991) is a Swiss professional footballer who currently plays for FC Thun as a left full back. Context_8 : Silvan Aegerter (born 5 May 1980, in Grenchen) is a Swiss football midfielder who currently plays as midfielder for FC Lugano in the Swiss Challenge League. Before he played for FC Thun and FC Zürich. He played in the youth team for his local team FC Grenchen and also for FC Basel. Context_9 : Roland Bättig (born 28 July 1979 Switzerland) is a former Swiss professional footballer who last played as a midfielder for FC Thun in the Swiss Super League. Context_10 : Tranquillo Barnetta (] ; born 22 May 1985) is a Swiss professional footballer who plays as a midfielder for St. Gallen. He usually plays out wide as a left winger but can also play in the centre as an attacking midfielder, or even in a more withdrawn role as a central midfielder. Barnetta is known for his "extreme pace, mobility and creativity". Prior to moving to the MLS, Barnetta played football for several Swiss and German clubs. At international level, he has amassed 75 caps for the Swiss national team, representing his nation in three FIFA World Cups, and two UEFA European Football Championships. fact_1 : Nicola Sutter (born 5 May 1995) is a Swiss professional footballer who currently plays as a midfielder for FC Thun. fact_2 : FC Thun ("Fussballclub Thun 1898") is a Swiss football team from the Bernese Oberland town of Thun. Question: Who is a Swiss professional footballer who currently plays as a midfielder for a Swiss football team from the Bernese Oberland town of Thun ?
Nicola Sutter
Context_1 : Wigfield: The Can Do Town That Just May Not is a satirical novel by comedians Amy Sedaris, Paul Dinello, and Stephen Colbert, three of the four creators of the Comedy Central show "Strangers with Candy". It was first published on May 7, 2003 by Hyperion Books. Context_2 : Tek Jansen is a fictional character featured on "The Colbert Report" and in a comic book series published by Oni Press. Jansen originated as a recurring joke in the form of a supposed self-published science fiction novel on the "Report", reportedly as a parody of Bill O'Reilly's 1998 novel, "Those Who Trespass". The character later appeared on the show in a series of animated shorts entitled "Stephen Colbert Presents Stephen Colbert's Alpha Squad 7: A Tek Jansen Adventure", with Jansen voiced by Stephen Colbert, and in 2007 became the protagonist of a five-part comic series. Context_3 : Amy Louise Sedaris ( ; born March 29, 1961) is an American actress, voice actress, singer, author, screenwriter and comedian. She is known for playing Jerri Blank in the Comedy Central television series "Strangers with Candy". She regularly collaborates with her older brother David, a humorist and author. Since 2014, Sedaris has voiced the character Princess Carolyn in the Netflix animated series "BoJack Horseman". Context_4 : The Colbert Report ( ) is an American late-night talk and news satire television program hosted by Stephen Colbert that aired four days a week on Comedy Central from October 17, 2005 to December 18, 2014 for 1,447 episodes. The show focused on a fictional anchorman character named Stephen Colbert, played by his real-life namesake. The character, described by Colbert as a "well-intentioned, poorly informed, high-status idiot", is a caricature of televised political pundits. Furthermore, the show satirized conservative personality-driven political talk programs, particularly Fox News's "The O'Reilly Factor". "The Colbert Report" is a spin-off of Comedy Central's "The Daily Show", where he acted as a correspondent for the program for several years while developing the character. Context_5 : "The Colbert Report", which premiered in American cable television on October 17, 2005, has had a massive cultural impact since its inception, when the show introduced the word "truthiness". Issues in and references to American and world culture are attributed to the character played by Stephen Colbert, who calls his followers the Colbert Nation. "The Colbert Report" is a late-night talk and news satire television program hosted by Stephen Colbert that aired on Comedy Central from October 17, 2005 to December 18, 2014 for 1,447 episodes. The show focused on a fictional anchorman character named Stephen Colbert, played by his real-life namesake. The character, described by Colbert as a "well-intentioned, poorly informed, high-status idiot", is a caricature of televised political pundits. Furthermore, the show satirized conservative personality-driven political talk programs, particularly Fox News' "The O'Reilly Factor". "The Colbert Report" is a spin-off of Comedy Central's "The Daily Show", where he acted as a correspondent for the program for several years while developing the character. Context_6 : Paul Dinello (born November 28, 1962) is an American comedian, actor, writer, director, and producer. He is best known for his role as Geoffrey Jellineck on Comedy Central's "Strangers with Candy". Currently he is a writer and supervising producer for "The Late Show with Stephen Colbert", where he has made several on-camera appearances. Context_7 : Dr. Stephen T. Colbert D.F.A. is the fictionalized persona of political satirist Stephen Colbert, as portrayed on the Comedy Central series "The Colbert Report" and occasionally on "The Late Show with Stephen Colbert" on CBS. Described as a "well-intentioned, poorly informed high-status idiot" and a "self-important right-wing commentator", the character incorporates aspects of the real Colbert's life and interests but is primarily a parody of cable news pundits, particularly former Fox News commentator Bill O'Reilly. Context_8 : Mark Levenson, a member of the Dramatists Guild of America, is a musical director for The Second City Detroit (located in Novi, Michigan). Levenson helped open Second City Detroit in 1993. In addition to his work with The Second City Detroit, Levenson scored the hit Comedy Central series, Strangers with Candy. He has also written music for shows on MTV, VH-1, NBC and scored productions at both Lincoln Center for the Performing Arts and John F. Kennedy Center for the Performing Arts. Levenson composed music for David Sedaris's two Off Broadway shows and numerous recording projects. He recently toured the country with Stephen Colbert, Amy Sedaris and Paul Dinello in their production of Wigfield, which concluded its run at the U.S. Comedy Arts Festival in Aspen, Colorado. Context_9 : Strangers with Candy is a 2005 comedy film directed by Paul Dinello, written by Dinello, Stephen Colbert, Amy Sedaris, and Mitch Rouse, and serves as a prequel to their 1999-2000 Comedy Central television series of the same name. Colbert co-produced the film alongside executive producer David Letterman. The film grossed $2.3 million. Context_10 : Exit 57 is a 30-minute sketch comedy series that aired on the American television channel Comedy Central from 1995 to 1996; its cast was composed of comedians Amy Sedaris, Paul Dinello, Stephen Colbert, Jodi Lennon, and Mitch Rouse, all of whom had previously studied improv at The Second City in Chicago. In 1999 Sedaris, Dinello, Colbert and Rouse would also create the Comedy Central show "Strangers with Candy". fact_1 : He recently toured the country with Stephen Colbert, Amy Sedaris and Paul Dinello in their production of Wigfield, which concluded its run at the U.S. Comedy Arts Festival in Aspen, Colorado. fact_2 : She is known for playing Jerri Blank in the Comedy Central television series "Strangers with Candy". Question: Mark Levenson toured the country with Stephen Colbert, Paul Dinello, and an actress that played what role in the series "Strangers with Candy"?
Jerri Blank
Context_1 : Cremera is a 36.7 km Italian stream in Lazio (and previously in Etruria) which runs past Sacrofano, Formello, and Campagnano di Roma before falling into the Tiber about 10 km north of Rome. It connects to the Tiber just as the Via Flaminia intersects the Grande Raccordo Anulare highway, on the proximity of the Labaro Roma Nord railway station, where an ancient Roman bridge is. Context_2 : The Porta Trigemina was one of the main gates in the ancient 4th century Servian Wall of Rome, Italy. The gate no longer exists, but it is frequently mentioned by ancient authors as standing between the north end of the Aventine Hill and the Tiber River, placing it near the southeastern end of the Forum Boarium. The Clivus Publicius descended from the Aventine to the Porta Trigemina. Context_3 : Prima Porta is a suburb of Rome located 12 kilometres north of its center along the Via Flaminia and just a kilometre outside of the Grande Raccordo Anulare highway. It is located on the right bank of the Tiber where the Via Tiberina leads away from the Via Flaminia and another road led off along the Cremera to Veii (Latitude: 42.000992° - Longitude: 12.493380° ). The location was strategically important due to the iron-rich cliffs of red tuff that approach the river at this point, the confluence of several roads, and its function as the north entry point to Rome. Parrocchia Santi Urbano e Lorenzo a Prima Porta, is the name of the Catholic Parish. It is looked after, the location of and serves as a House of formation for the Pauline Fathers. Context_4 : The Tiber ( , Latin "Tiberis", Italian "", ] ) is the third-longest river in Italy, rising in the Apennine Mountains in Emilia-Romagna and flowing 406 km through Tuscany, Umbria and Lazio, where it is joined by the river Aniene, to the Tyrrhenian Sea, between Ostia and Fiumicino. It drains a basin estimated at 17375 km2 . The river has achieved lasting fame as the main watercourse of the city of Rome, founded on its eastern banks. Context_5 : The Porto di Ripetta was a port in the city of Rome. It was situated on the banks of the River Tiber and was designed and built in 1704 by the Italian Baroque architect Alessandro Specchi. Located in front of the church of San Girolamo degli Schiavoni, its low walls with steps descended in sweeping scenographic curves from the street to the river. The port no longer exists but is known from engraved views, drawings and early photographs. Context_6 : The Almone (Latin: "Almo") is a small river of the Ager Romanus, a few miles south of the city of Rome. Today the river is polluted and is channelled to a sewage treatment plant and no longer reaches its natural confluence with the Tiber. Context_7 : Ficana was an ancient city of Latium, which figures in Roman history only on the occasion of its conquest by Ancus Marcius, who is said to have removed the inhabitants to Rome, and destroyed the city itself. (Livy i. 33; Dionys. iii. 38, where the editions have "Fidenae", but there is little doubt that the event referred to is the same related by Livy.) It is certain that it was never repeopled: its name is found in Pliny's list of the extinct cities of Latium (iii. 5. s. 9), and is noticed also by Festus ("v. Puilia Saxa") as a place no longer in existence. The latter passage, however, affords us a clue to its position; according to Marcus Antistius Labeo there cited, it was situated on the Via Ostiensis, eleven miles from Rome, and apparently immediately adjoining the Tiber, on which it had a port, at a place called by Fabius Pictor the "Puilia Saxa". The city's site is in the commune of Rome near Acilia, on the via Ostiense between Rome and Ostia. fact_1 : Cremera is a 36.7 km Italian stream in Lazio (and previously in Etruria) which runs past Sacrofano, Formello, and Campagnano di Roma before falling into the Tiber about 10 km north of Rome. fact_2 : The Tiber ( , Latin "Tiberis", Italian "", ] ) is the third-longest river in Italy, rising in the Apennine Mountains in Emilia-Romagna and flowing 406 km through Tuscany, Umbria and Lazio, where it is joined by the river Aniene, to the Tyrrhenian Sea, between Ostia and Fiumicino. Question: Which is longer, The Tiber or Cremera?
| The Tiber
| 0 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.35986822843551636,
0.5482368469238281,
-1.1678988933563232,
0.08554942905902863,
0.8199512958526611,
0.432641863822937,
0.306186705827713,
0.5034618377685547,
0.038071561604738235,
-0.09928636997938156,
-0.44073837995529175,
0.9252238273620605,
-0.9063698053359985,
0.4240798354148865,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
See one example below:
Problem: Pero comenzamos con la idea de un niño por vez.
Solution: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is preserved.
Problem: Hay evidencia de que las reacciones ya empezaron.
Solution: | ישנם ראיות לכך שהמשובים החיוביים האלו כבר התחילו. | 4 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.38416245579719543,
0.46949121356010437,
0.11515721678733826,
-0.4403759241104126,
-0.5097439289093018,
0.024541916325688362,
1.2318899631500244,
0.8605252504348755,
0.6205967664718628,
-0.4853348731994629,
-0.22643926739692688,
0.3260858952999115,
-1.220075011253357,
0.23882785439491272... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Let me give you an example: Pero comenzamos con la idea de un niño por vez.
The answer to this example can be: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Here is why: The Spanish sentence is correctly translated into Hebrew, because the meaning is preserved.
OK. solve this:
No tienen que producir devastación global.
Answer: | הם לא חייבים לגרום להרס גלובלי. | 8 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.834804892539978,
0.8221209049224854,
0.41058090329170227,
0.004394608549773693,
-0.7025974988937378,
-0.44603249430656433,
0.7517447471618652,
0.5648964047431946,
0.3929656744003296,
-0.31117939949035645,
-0.32411718368530273,
0.28953051567077637,
-1.087280511856079,
0.01390069536864757... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: To samo robiliśmy w latach 50. i ponieśliśmy klęskę.
A: | وهو ما حدث بالضبط في الخمسينيات فعاد عندها المسعى بنتائج عكسية | 4 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.9659589529037476,
0.7380541563034058,
0.11638833582401276,
-0.5189849138259888,
0.056763894855976105,
0.018995210528373718,
1.3926364183425903,
-0.2544870376586914,
0.970676600933075,
0.3417453169822693,
-0.443665087223053,
0.24574194848537445,
-1.2887396812438965,
0.7620612978935242,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'then get lost i don't know why you be that mean to me don't msg me'. Dialogue 2: 'upset what happened he hurt me'. | no | 0 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.6399246454238892,
0.30262070894241333,
0.37452179193496704,
-0.7904519438743591,
-0.08512979000806808,
0.5217810869216919,
1.0944945812225342,
-0.1504582166671753,
-0.09471321105957031,
-0.4456424117088318,
-0.048780620098114014,
-0.8883634209632874,
-0.6699101328849792,
0.3115372061729... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Pochodzą z tych komórek.
A: | Proveñen destas células. | 7 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.802814245223999,
1.1339937448501587,
-0.20151576399803162,
-0.40759626030921936,
0.11859631538391113,
-0.731978178024292,
0.026073841378092766,
-0.2528158724308014,
-0.05611981078982353,
-0.46642014384269714,
-0.48703259229660034,
0.5352139472961426,
-0.47464799880981445,
0.542131900787... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Fact: pesticides can harm animals.
Question: What can harm animals?
Correct Answer: pesticides.
Solution: pet shampoo.
Why? This is clearly an incorrect answer to the question. And since, it is relevant with the given fact, it is a good incorrect answer. Other good incorrect answers are "fresh water" and "clouds".
New input: Fact: Specialization occurs when competing species evolve techniques to accomodate differences.
Question: Specialization occurs when competing species evolve techniques to what?
Correct Answer: accommodate differences.
Solution: | get hurt. | 0 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
-0.30735498666763306,
0.5556106567382812,
-0.27768224477767944,
0.4938011169433594,
0.01503509096801281,
-1.4905815124511719,
0.14145126938819885,
0.7884411811828613,
-0.31959858536720276,
0.003829978872090578,
-1.1282875537872314,
0.33642715215682983,
-0.49626606702804565,
-0.019504657015... |
Instructions: 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.
Input: We stood on the banks of a lake of f ire .
Output: | Original | 3 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.34639084339141846,
1.13114595413208,
0.16468727588653564,
-0.7885884046554565,
-0.04828810691833496,
-0.6127450466156006,
0.2048371136188507,
0.6739305853843689,
0.46007513999938965,
-0.24168354272842407,
-0.48780131340026855,
-0.5560142993927002,
-1.092841625213623,
-0.1682575345039367... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Middle: Tuie was not happy and was whimpering. Ending: He kept petting her because it made her stop whimpering. | Adam was sitting at his desk when his dog Tuie came up to him. | 0 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.40099388360977173,
1.024609088897705,
-0.14778295159339905,
-0.4949709177017212,
-0.3563840985298157,
-0.19043898582458496,
0.7518167495727539,
0.3404354751110077,
-0.2805919051170349,
0.08112539350986481,
-0.7280663847923279,
0.24495229125022888,
-0.06647142767906189,
-0.22732804715633... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
[Q]: Context: We had a little visitor last night . Mike was sleeping and I was just getting ready to get into bed myself , when I saw something moving on the floor . I looked closer and sawa little green frog hopping across the floor towards our suit case . I hopped behind the glider and I lost sight of it .
Question: What will happen to the frog ?
Correct Answer: Mike will catch it .
[A]: A snake will eat it .
[Q]: Context: As some of you might know , sports and hijab are a pretty weird combination . But Roqaya Al - Gassra has done it during the Olympics Beijing 2008 and so have I.My company had a paintball event last Friday and so I had to do quite a bit of running . I kept thinking of ways on how to avoid my hijab from flying about and giving me a disadvantage .
Question: Why would the narrator not want to remove their head piece ?
Correct Answer: None of the above choices .
[A]: It is a very nice hat .
[Q]: Context: She had back to back tantrums so the decision was made to take her back up to the ward , calm her down and then try again . If you 're not familiar with Wellington Hospital - the trip from Nuclear Medicine to Ward 18 is pretty quick ; a few corridors and a ride in the elevator . Kyah made it feel like forever . She screamed and thrashed and I had to restrain her so that she did n't jump off the bed while it was in motion .
Question: Which of the following is true of the narrator ?
Correct Answer: The narrator works in mental health .
[A]: | The narrator is a resident at Wellington .
| 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.11800752580165863,
0.46603304147720337,
-0.4149259328842163,
0.5086655020713806,
-0.23617365956306458,
-0.5233376026153564,
0.2626878023147583,
0.6062146425247192,
0.14352113008499146,
-0.33930718898773193,
-0.830479085445404,
0.23133549094200134,
-0.5950468182563782,
0.3917357325553894,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Ex Input:
Esta pequena seringa contém a molécula moral.
Ex Output:
هذه الحقنة الصغيرة.. تحوي جزيئات الأخلاق
Ex Input:
É o que os dentistas limpam de seus dentes cada vez que vocês fazem uma consulta.
Ex Output:
وهي ما ينظفه طبيب الأسنان من أسنانكم .خلال كل زيارة
Ex Input:
A reputação é a medida da confiança que uma comunidade tem em vocês.
Ex Output:
| السمعة هو مقياس لمدى ثقة المجتمع بك.
| 1 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-1.0730106830596924,
-0.07210073620080948,
0.20664958655834198,
-0.8605172634124756,
-0.4341224431991577,
-0.03208727762103081,
0.11472272872924805,
-0.019690657034516335,
0.4134870171546936,
-0.27838557958602905,
-0.664192259311676,
0.5555837154388428,
-0.10907679051160812,
-0.12223511934... |
Instructions: 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".
Input: Physical properties include the state of matter. We know these states as solid, liquid, or gas. Properties can also include color and odor. For example, oxygen is a gas. It is a major part of the air we breathe. It is colorless and odorless. Chlorine is also a gas. In contrast to oxygen, chlorine is greenish in color. It has a strong, sharp odor. Have you ever smelled cleaning products used around your home? If so, you have probably smelled chlorine. Another place you might smell chlorine is at a public swimming pool. The chlorine is used to kill bacteria that may grow in the water. Other physical properties include hardness, freezing, and boiling points. Some substances have the ability to dissolve in other substances. Some substances cannot be dissolved. For example, salt easily dissolves in water. Oil does not dissolve in water. <sep>Which gas is a major part of the air we breathe?<sep>Oxygen
Output: | Yes | 3 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.1780746579170227,
1.1163545846939087,
-0.7024450898170471,
-0.8635942935943604,
-0.05425594747066498,
-1.0651028156280518,
0.5178422331809998,
1.0353245735168457,
0.2736797034740448,
0.4150480628013611,
-0.41463690996170044,
-0.21854031085968018,
-0.4452908933162689,
-0.6225242018699646,... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: Two guys have dogs on leashes and one of the dogs is jumping. Sentence 2: A golden retriever and labrador are playing a game.
A: | There are two dogs next to each other. | 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-1.1116544008255005,
0.7788828611373901,
-0.3282853662967682,
-0.6813074350357056,
-0.44771596789360046,
0.01106193009763956,
0.09514141082763672,
0.6672679781913757,
0.001909148064441979,
-0.9907882213592529,
-0.985431432723999,
0.20290464162826538,
-0.5353944301605225,
-0.158564388751983... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Question: How many time had England been a World Cup champion when Duncan Edwards died as a result of the Munich air disaster? Passage 1:The most famous former resident of the Priory Estate is Duncan Edwards, who was born two miles away at Holly Hall but moved to 31 Elm Road as a small child and went on to play 18 times for England as well as winning two Football League championships with Manchester United before he died in 1958 at the age of 21 from injuries sustained in the Munich air disaster. As a child, he had attended Priory Primary School and then Wolverhampton Street School. The school is most famous for being the former school (1941 to 1948) of the late Duncan Edwards, the former Manchester United and England footballer. He died aged 21 as a result of the Munich air disaster in 1958. After his death, a stained glass window was dedicated to Edwards at St Francis parish church at the junction of Laurel Road and Poplar Crescent. The church was founded during 1931 and originally based at Priory Hall before the church building on the newly developed housing estate was opened on 10 May 1932.
Passage 2:Critic Janet Maslin, writing in The New York Times, said of director Kasdan, "he creates the film's most satisfying moments by communicating his own sheer enjoyment in revitalizing scenes and images that are so well-loved." Impressed, she exclaimed, "Silverado is a sweeping, glorious-looking western that's at least a full generation removed from the classic films it brings to mind." Roger Ebert in the Chicago Sun-Times called it "sophisticated" while remarking, "This is a story, you will agree, that has been told before. What distinguishes Kasdan's telling of it is the style and energy he brings to the project." In the San Francisco Chronicle, Peter Stack wrote that the film "delivers elaborate gun-fighting scenes, legions of galloping horses, stampeding cattle, a box canyon, covered wagons, tons of creaking leather and even a High Noonish duel." He openly mused, "How it manages to run the gamut of cowboy movie elements without getting smart-alecky is intriguing." In a mixed review, Gene Siskel of the Chicago Tribune, said the film was "a completely successful physical attempt at reviving the western, but its script would need a complete rewrite for it to become more than just a small step in a full-scale western revival." Another ambivalent review came from Jay Carr of The Boston Globe. He noted that Silverado "plays like a big-budget regurgitation of old Westerns. What keeps it going is the generosity that flows between Kasdan and his actors. It's got benevolent energies, but not the more primal kind needed to renew the standard Western images and archetypes." In an entirely negative critique, film critic Jay Scott of The Globe and Mail said the all too familiar "manipulative Star Wars-style score is the only novelty on tap in Silverado, which has a plot too drearily complicated and arid to summarize". Left equally unimpressed was Dave Kehr of the Chicago Reader. Commenting on director Kasdan's style, he said his "considerable skills as a plot carpenter seem to desert him as soon as the story moves to the town of the title." As far as the supporting cast was concerned, he dryly noted, "none of them assumes enough authority to carry the moral and dramatic center of the film." Giving Silverado 4 out of 5 stars, author Ian Freer of Empire, thought the film was the "kind of picture that makes you want to play cowboys the moment it is over." He exclaimed, "Whereas many of the westerns from the ‘70s try a revisionist take on the genre, Silverado offers a wholehearted embracing of western traditions."
Passage 3:The Yasui procedure is a pediatric heart operation used to bypass the left ventricular outflow tract (LVOT) that combines the aortic repair of the Norwood procedure and a shunt similar to that used in the Rastelli procedure in a single operation. It is used to repair defects that result in the physiology of hypoplastic left heart syndrome even though both ventricles are functioning normally. These defects are common in DiGeorge syndrome and include interrupted aortic arch and LVOT obstruction (IAA/LVOTO); aortic atresia-severe stenosis with ventricular septal defect (AA/VSD); and aortic atresia with interrupted aortic arch and aortopulmonary window. This procedure allows the surgeon to keep the left ventricle connected to the systemic circulation while using the pulmonary valve as its outflow valve, by connecting them through the ventricular septal defect. The Yasui procedure includes a modified Damus–Kaye–Stansel procedure to connect the aortic and pulmonary roots, allowing the coronary arteries to remain perfused. It was first described in 1987.
| 1 | 0 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.499727725982666,
0.17450281977653503,
-0.8437272906303406,
-0.7536370754241943,
0.6724046468734741,
0.28276050090789795,
0.8450118899345398,
1.2206065654754639,
-0.2753743529319763,
0.06453804671764374,
-0.01528483722358942,
0.5353793501853943,
-0.6220072507858276,
0.062374114990234375,
... |
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".
Example: Question: Melbourne has sustained the highest population increase and economic growth rate in any Australian city according to what organization? (Answer: Australian Bureau of Statistics).
Example solution: Organization.
Example explanation: Here, the definition of the type "Organization" is "an organized body of people with a particular purpose" which aligns with "Australian Bureau of Statistics". So, this is a good answer.
Problem: Question: What is the English term for Vajrayana? (Answer: Diamond Vehicle).
| Solution: Other. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.9579743146896362,
-0.18675673007965088,
-0.23178324103355408,
0.26925963163375854,
0.008431517519056797,
-0.8699449896812439,
0.9971923828125,
0.8497470617294312,
-0.4717192053794861,
-0.18671974539756775,
-0.4755656123161316,
0.4772968888282776,
-0.4959349036216736,
0.2017536759376526,
... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
One example: Passage: Many people live in Ethiopia. The people are very thin and good at distance running.
Solution is here: Race
Explanation: The second sentence "The people are very thin and good at distance running." is a racial stereotype of the Ethiopian people. It represents a standardized mental picture of the Ethiopian people.
Now, solve this: Passage: The male went to work. He was a busy nurse.
Solution: | Gender | 6 | NIv2 | task280_stereoset_classification_stereotype_type | fs_opt | [
-0.315374493598938,
0.22332891821861267,
0.12113741040229797,
0.06633369624614716,
0.23638665676116943,
0.17775535583496094,
0.700645923614502,
0.2576262354850769,
0.47974810004234314,
-0.009950798004865646,
-1.062852382659912,
0.2121795415878296,
-0.8084521293640137,
0.013443658128380775,... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
One example: [77, 999, 855, 10, 56, 121, 801]
Solution is here: [77, 999, 121]
Explanation: The integers 77, 999, and 121 are the only integers in the input list that start and end with the same digit.
Now, solve this: [142, 144, -657, 486, -614, -855, 503, -993, -758, 320, 295, 468, -828, 785, -434, -880, -597, -457, -552]
Solution: | [-828, -434] | 6 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.7767850160598755,
0.22641006112098694,
-0.25531959533691406,
-0.5834789276123047,
-0.2328578531742096,
0.5478139519691467,
0.8219830989837646,
0.023986130952835083,
-0.11591217666864395,
0.2057192474603653,
-0.6415093541145325,
-0.11206382513046265,
-0.24148091673851013,
-0.020574448630... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
[EX Q]: Sentence 1: A black woman is walking towards a woman wearing a yellow hat. Sentence 2: The women are meeting up for lunch.
[EX A]: Two woman walk toward each other.
[EX Q]: Sentence 1: Woman with yellow button up shirt and jeans is making beautiful pottery etchings into one of her works of art. Sentence 2: The woman enjoys pottery.
[EX A]: The woman is an artist.
[EX Q]: Sentence 1: a dog pulling down yellow pants on a little boy in the snow Sentence 2: A dog pulling down yellow pants on a little boy in the snow gets in trouble for it
[EX A]: | A dog playing with a little boy
| 6 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-1.0334327220916748,
0.5996378660202026,
-0.42346882820129395,
0.023782357573509216,
-0.1835005283355713,
-0.1965114176273346,
-0.2565973699092865,
0.5182316303253174,
0.31398439407348633,
-0.5539119243621826,
-0.818311333656311,
-0.21010060608386993,
0.032701410353183746,
0.07661132514476... |
Given the task definition and input, reply with output. In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Middle: The director hired a propmaster. Ending: The propmaster stood back to admire his work.
| The director of a play wanted to install a trap door in the stage. | 5 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.6701403260231018,
1.1000393629074097,
0.04988916218280792,
-0.4271758794784546,
-0.497933030128479,
0.500150203704834,
0.2686236798763275,
0.15199875831604004,
0.2776719927787781,
-0.3382408618927002,
-0.5761940479278564,
0.41845545172691345,
-0.32167965173721313,
0.015460348688066006,
... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
[Q]: Context: None
Sentence: Theresa went to the zoo for the first time.
Character: Theresa
[A]: a new adventure
[Q]: Context: Landon was a poor student. His teacher failed him.
Sentence: His parents thought a binder would fix the problem.
Character: Parents
[A]: None
[Q]: Context: The teacher was going over the exam that the class have tomorrow. Aaron didn't pay attention and was unaware of it. At home, he mostly slept and didn't do any homework. When he came into class the next day, he was surprised.
Sentence: The teacher passed the exams to everyone and he was scared.
Character: Aaron
[A]: | None
| 5 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
0.1238427460193634,
-0.04981156438589096,
-0.03418784588575363,
-0.6614200472831726,
0.2647961974143982,
0.006354254670441151,
0.4087243676185608,
0.8358295559883118,
-0.20852136611938477,
-0.2660370469093323,
0.047287292778491974,
-0.3215220272541046,
-0.25205492973327637,
-0.359619915485... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Q: Sentence: 'Zebra behind a fence and in front of rocks'. Count the number of nouns in this sentence.
A: | 4 | 4 | NIv2 | task155_count_nouns_verbs | zs_opt | [
1.0973329544067383,
1.3997406959533691,
-0.44995516538619995,
-0.06125711277127266,
-0.9362555742263794,
-0.01686866395175457,
0.05424933135509491,
0.6514961123466492,
-0.059799931943416595,
-0.5654889941215515,
-0.20753838121891022,
-0.09072741866111755,
-0.7255786657333374,
0.05866956338... |
TASK DEFINITION: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
PROBLEM: Statement: ಉತ್ಪಾತ ಮಳೆ ಮತ್ತು ಉತ್ತರಾಖಂಡ : ೨೦೧೩ರ ಜೂನ್ ೧೪ರಿಂದ ೧೭ರ ವರೆಗೆ ಸುರಿದ ಮಳೆ ಭಾರತದ ಪ್ರಸಿದ್ಧ ತೀರ್ಥಯಾತ್ರಾ ಕ್ಷೇತ್ರಗಳಲ್ಲಿ ಪ್ರಮುಖವಾದ ಯಮುನೋತ್ರಿ, <MASK>, ಕೇದಾರನಾಥ, ಬದರಿನಾಥ, ಹೇಮಕುಂಡ, ಚಾರ್ ಧಾಮ ಇವುಗಳಿರುವ ರುದ್ರಪ್ರಯಾಗ ಜಿಲ್ಲೆಯಲ್ಲಿ , ಯಾವಾಗಿನ ಸರಾಸರಿಗಿಂತ ಸುಮಾರ ನಾನೂರ ರಷ್ಟು (೩೭೫) ಹೆಚ್ಚು ಮಳೆಯಾಗಿ ಅಲ್ಲಿನ ನದಿಗಳಲ್ಲಿ ಎಂದೂ ಕಾಣದ ಭೀಕರ ಪ್ರವಾಹ ಉಂಟಾಯಿತು ಹೆದ್ದಾರಿಗಳಲ್ಲಿ ಭೂಕುಸಿತ ವುಂಟಾಗಿ ೭೦,೦೦೦ ಜನಕ್ಕೂ ಹೆಚ್ಚು ಜನ ಸಾವಿರಾರು ವಾಹನಗಳು ರಸ್ತೆ ಮಧ್ಯೆ ಸಿಕ್ಕಿಹಾಕಿಕೊಂಡವು. ಮಂದಾಕಿನೀ ನದಿ ಭೋರ್ಗರೆದು , ಉಕ್ಕಿ ಹರಿದು ಅಕ್ಕ ಪಕ್ಕ ದಲ್ಲಿದ್ದ ಎಲ್ಲಾ ಮನೆಗಳನ್ನೂ ಶ್ರೀ ಶಂಕರರ ಸಮಾಧಿಯನ್ನೂ ಕೊಚ್ಚಿ ಹಾಕಿ ನಾಮಾವಶೇಷ ಮಾಡಿತು. ಕೇದಾರ ದೇವಾಲಯದ ಒಳಗೂನೀರು ನುಗ್ಗಿ ೮-೧೦ ಅಡಿಯಯಷ್ಟು ನೀರು ನಿಂತಿತ್ತು , ಒಳಗಿದ್ದವರಲ್ಲಿ ಕರ್ನಾಟಕದ ಒಬ್ಬರು ಪೂಜಾರಿಗಳುಮಾತ್ರಾ ಕಷ್ಟದಿಂದ ಬದುಕಿ ಬಂದು ತಮ್ಮ ಅನುಭವವನ್ನು ಸುದ್ದಿ ಮಾದ್ಯಮಕ್ಕೆ ಕೊಟ್ಟರು.
Option A: ಕೇದಾರನಾಥ
Option B: ಕೇರಳ
Option C: ಗಂಗೋತ್ರಿ
Option D: ಉತ್ತರಾಖಂಡ
SOLUTION: ಗಂಗೋತ್ರಿ
PROBLEM: Statement: ಚೀನಿ ಜನರ ಗಣರಾಜ್ಯದಲ್ಲಿ, ೧೯೮೦ರ ದಶಕದ ಆರಂಭದಲ್ಲಿ ಡೆಂಗ್ ಕ್ಸಿಯೋಪಿಂಗ್ ನೇತೃತ್ವದಲ್ಲಿ ಕೇಂದ್ರ ಸರ್ಕಾರದ ವತಿಯಿಂದ ವಿಶೇಷ ಆರ್ಥಿಕ ವಲಯಗಳು ಸಂಸ್ಥಾಪಿಸಲ್ಪಟ್ಟವು. ಚೀನಾದಲ್ಲಿನ ಅತ್ಯಂತ ಯಶಸ್ವಿ ವಿಶೇಷ ಆರ್ಥಿಕ ವಲಯ ಎನಿಸಿಕೊಂಡಿರುವ ಷೆನ್ಜೆನ್, ಒಂದು ಸಣ್ಣ ಹಳ್ಳಿಯಿಂದ ಒಂದು ನಗರವಾಗಿ ಅಭಿವೃದ್ಧಿಹೊಂದಿದ್ದು, ೨೦ ವರ್ಷಗಳ ಅವಧಿಯಲ್ಲಿ ೧೦ ದಶಲಕ್ಷಕ್ಕೂ ಹೆಚ್ಚಿನ ಜನಸಂಖ್ಯೆಯನ್ನು ಈ ನಗರವು ಹೊಂದಿದೆ. ವಿಶೇಷ ಆರ್ಥಿಕ ವಲಯಗಳ ಸಂಸ್ಥಾಪನೆ ಮತ್ತು ನೆಲೆಗೊಳಿಸುವಿಕೆಯಲ್ಲಿ <MASK>ವೂ ಸಹ ಒಂದು ಗಮನಾರ್ಹ ಪಾತ್ರವನ್ನು ವಹಿಸಿದೆ. ಇದು ಏಷ್ಯಾದಲ್ಲಿನ ಅತಿದೊಡ್ಡ ಹೊರಗುತ್ತಿಗೆ ಕೈಗಾರಿಕೆಯನ್ನು ಹೊಂದಿದೆ.
Option A: ಪಾಕಿಸ್ತಾನ
Option B: ಭಾರತ
Option C: ಪೋಲೆಂಡ್
Option D: UN
SOLUTION: ಭಾರತ
PROBLEM: Statement: ಇಂಡಿಯನ್ ಎಂಬ ಹೆಸರು ಬದಲಾವಣೆ ನಂತರ ಕಂಪನಿಯ ಏರ್ ಕ್ರಾಫ್ಟ್ ಗಳ ಮೇಲೆ ಸೂರ್ಯ ದೇವನ ದೇವಾಲಯದ ಸ್ಪೂರ್ತಿ ಎಂಬಂತೆ <MASK> ಕೊನಾರ್ಕ್ ದೇವಾಲಯದ ವಾಸ್ತು ಶಿಲ್ಪವನ್ನು ಪ್ರದರ್ಶಿಸಲು ಆರಂಭಿಸಿದೆ. ಅವರ ಏರ್ ಕ್ರಾಫ್ಟಿನ ಬಣ್ಣ ಭಾಗಶಃ ನೀಲಿ ಚಕ್ರದ ಗುರುತಾಗಿದ್ದು ಉಳಿದದ್ದನ್ನು೩/೪ರಷ್ಟು ತೆಗೆದು ಹಾಕಲಾಗಿದೆ. ಚಕ್ರವು ಕಿತ್ತಳೆ ಬಣ್ಣದ ಹಿನ್ನಲೆ ಹೊಂದಿದ್ದು ಕ್ಯಾರಿಯರ್ ನ ಹೆಸರು "ಇಂಡಿಯನ್ "ಎಂಬುದನ್ನು ಒಂದೆಡೆ ಇಂಗ್ಲಿಷ್ ಮತ್ತೊಂದೆಡೆ ಹಿಂದಿಯಲ್ಲಿ ಬರೆಯಲಾಗಿದೆ.
Option A: ಒರಿಸ್ಸಾದಲ್ಲಿನ
Option B: ಮಿಲ್ವಾಕೀ
Option C: ಶ್ರೀನಗರದಿಂದ
Option D: ಆಗ್ರಾದ
SOLUTION: | ಒರಿಸ್ಸಾದಲ್ಲಿನ
| 8 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.17949655652046204,
0.7139721512794495,
-0.7193343639373779,
-0.17777204513549805,
-0.37127888202667236,
-0.36177554726600647,
-0.0634356439113617,
1.144507646560669,
-0.38492080569267273,
-0.014412680640816689,
-0.1635383516550064,
0.2839393615722656,
-0.2726607918739319,
0.0077098319306... |
Given the task definition and input, reply with output. In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
My friends and I were debating the ethics behind what happened the other night when buying beer. I got a usually pretty expensive 4 pack of local craft beer. As the lady was ringing it up, I told my friend that I'd get his water as well, and when I went to pay I realised the total price was 6 bucks and change (for the beer and water). That was way less then it usually is, but I didn't really think about it until my way home, paid, then left.
When telling my other friend about the price he said I was a scumbag for not pointing out the error, and that she probably rang the beer up as 1 can. My defense was it's not my job to point out store pricing errors and I didn't do anything shady to get try and pull the wool over their eyes. We both agree that you should always tell a clerk if they forgot to ring something up or that's straight up stealing. We defer about if a wrong price gets rung up if we should notify the cashier.
What do you guys think? AITA and should have said something, or did the beer gods shine a ray of sunshine on someone who has spent a ton of money on great beer?
| HISTORICAL | 5 | NIv2 | task282_scruples_event_time | zs_opt | [
-0.32188624143600464,
0.6186798810958862,
0.4319102168083191,
0.7310041189193726,
0.05800449848175049,
-0.7740390300750732,
0.014381611719727516,
0.8568346500396729,
0.21784821152687073,
-0.15815678238868713,
-0.11158712953329086,
0.12245459109544754,
-0.5798001885414124,
-0.35622364282608... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Q: Article: It was a simple letter asking for a place to study at Scotland's oldest university which helped start a revolution in higher education. A 140-year-old letter written by a lady calling for her to be allowed to study medicine at St Andrews University has been discovered by researchers. Written by Sophia Jex-Blake in 1873, the seven-page document, which urged the university to allow women to study medicine at the institution, was released yesterday on International Women's Day. The document was discovered buried in the university archives by part-time history student Lis Smith, who is completing her PhD at St Andrews Institute of Scottish Historical Research. She said: "We knew that Sophia Jex-Blake and her supporters, in their effort to open up university medical education for women, had written to the Senatus Academicus at St Andrews in an attempt to gain permission to attend classes there, but we didn't know documentary evidence existed. While searching the archives for information about the university's higher certificate for women, I was astonished to come across what must be the very letter Jex-Blake wrote." In the letter, Sophia and her supporters offered to hire teachers or build suitable buildings for a medical school and to arrange for lectures to be delivered in the subjects not already covered at St Andrews. Although her letter was not successful, it eventually led to the establishment of the Ladies Literate in Arts at St Andrews, a distance-learning degree for women. The qualification, which ran from 1877 until the 1930s, gave women access to university education in the days before they were admitted as students. It was so popular that it survived long after women were admitted as full students to St Andrews in 1892. Ms Jex-Blake went on to help establish the London School of Medicine for Women in 1874. She was accepted by the University of Berne, where she was awarded a medical degree in January 1877. Eventually, she moved back to Edinburgh and opened her own practice.
Answer: to deliver lectures there
A: | Sophia wrote a letter to St Andrews University because she wanted _ . | 4 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.3367299437522888,
0.5428026914596558,
-1.0678695440292358,
-0.8345824480056763,
0.6700672507286072,
-1.0670312643051147,
0.7290380597114563,
0.41166967153549194,
0.30174580216407776,
-0.00576787069439888,
0.4443260133266449,
0.7292365431785583,
-0.8736328482627869,
0.44161251187324524,
... |
Teacher: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Passage: Omelettes make a great breakfast , and I enjoy making them because they are very easy to cook . First , I get the eggs out and begin cracking them on the side of the bowl and dumping them into the bowl . I normally use two eggs whites and one whole egg to cut the calories . I add some salt and pepper to the mix for flavor . I pour the mixture into the hot frying pan . I make sure that I add some vegetable oil to the pan before I add the eggs though because I do n't want them to stick . As this occurs , I add some cheese or vegetable to the center of the egg mixture . Really , almost any type of cheese or vegetable makes a good omelette . I then flip one side of the omelette over on to itself to seal in the contents in the middle . It is then ready to serve ! Question: How many times is the omelette flipped? Option1: three times Option2: once
Solution: once
Reason: As mentioned in the passage that I then flip one side of the omelette; it is clear that omelette is flipped one time only.
Now, solve this instance: Passage: Last time that I went on a date , I felt confident , but somewhat nervous before hand . Upon arriving at the place , I waited around and looked for the girl I was meeting . I was early because I did n't want to be late for the date so I waited around for her for a little bit . After she arrived , I gave her a hug and we talked and enjoyed dinner and our conversation . After finishing our meal , I received the check and we paid and started to walk out while talking . I then walked her to her car and we exchanged a long hug before finally saying good night . The date was fun and we felt like we got to know each other , while sharing strong conversation . Question: What did they enjoy? Option1: the drinks after dinner Option2: Dinner and conversation
Student: | Dinner and conversation | 2 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.6783208250999451,
0.032975681126117706,
-0.3893612325191498,
0.348794549703598,
-0.20537567138671875,
0.02052396722137928,
1.0762064456939697,
0.7525166273117065,
-0.44376084208488464,
-0.3648533225059509,
0.08163857460021973,
0.00510308938100934,
-0.02706722542643547,
-0.134004801511764... |
Definition: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the topic.
Input: লে: কর্নেল জাফর এখানে এত উগ্র একে ভালো করে গাঁজা সেবন করানো দরকার এ কোথায় ছিলো তখন
Output: | non-geopolitical | 2 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-1.208452582359314,
0.04009231925010681,
0.3211255669593811,
-0.0037428587675094604,
-0.5653426647186279,
-0.6266453862190247,
0.1934855729341507,
0.15466105937957764,
-0.11260649561882019,
-0.2883211374282837,
-0.5634231567382812,
-0.26939231157302856,
-0.27703535556793213,
-0.20679280161... |
Definition: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Input: Context : The weapon was adopted by the Polish Army in 1985 as ``RPG-76 Komar'', and with the warhead incapable of penetrating the front armor of modern western tanks it became a specialized weapon, never to be deployed by regular troops.
Question : What year was RPG-76 Komar introduced?
Output: | service entry | 2 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.09910905361175537,
-0.08691069483757019,
-0.09360752999782562,
-0.15331876277923584,
0.09691481292247772,
-0.7406004667282104,
0.7555217146873474,
-0.004828744567930698,
0.1764550805091858,
-0.09754263609647751,
-0.7899705171585083,
0.04708144813776016,
-0.8613605499267578,
0.10214848071... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX holds out PersonY's hand<sep>Tail: to push PersonX away
A: | Yes | 9 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.37003904581069946,
0.6551171541213989,
0.48918616771698,
-0.36503714323043823,
-0.38627225160598755,
-1.012893795967102,
0.8328217267990112,
0.43018925189971924,
-0.5311760902404785,
-0.31982147693634033,
-0.10759033262729645,
-0.4723455011844635,
-0.7307149767875671,
0.02262013964354992... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Q: Context: Ash was every mans hero from all the good deeds they did.
Answer: do their best to do good as well
A: | What will Others want to do next? | 4 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.15096494555473328,
0.8391587734222412,
0.39023557305336,
-0.9283748865127563,
-0.42718833684921265,
-0.8746733665466309,
0.2457665503025055,
-0.1657937914133072,
0.3354465961456299,
-0.3997063934803009,
-0.9473817348480225,
0.3397696316242218,
-0.6740432977676392,
-0.02066495269536972,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
One example: É basicamente un caldeiro que rota.
Solution is here: ويوجد أساسا مرجل دوار.
Explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Now, solve this: o que a NFB quería non era un vehículo que transportase a unha persoa cega. senón un vehículo no que un persoa cega puidese tomar decisións e conducir.
Solution: | ما أراد NFB لم يكن سيارة يمكن تقود شخص كفيف إلي أي مكان ، ولكن سيارة فيها شخص مكفوف يستطيع اتخاذ قرارات فعالة والقياده. | 6 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
0.21828214824199677,
0.24067407846450806,
0.1055908128619194,
-0.5275992155075073,
-0.1695854812860489,
0.19358840584754944,
1.4436746835708618,
-0.45050492882728577,
-0.11227742582559586,
0.015178989619016647,
-0.5919850468635559,
-0.41148561239242554,
-0.9966148734092712,
0.5065188407897... |
Given a sentence in French, generate a new French 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.
Une rivière est faite d'eau. | Une rivière est faite d'eau. | 0 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.18011504411697388,
1.3984068632125854,
0.023510660976171494,
-0.5273014307022095,
0.24229761958122253,
-0.5495460033416748,
0.15516144037246704,
1.0176888704299927,
0.4875808656215668,
-0.35534799098968506,
-0.9177735447883606,
-0.5475304126739502,
-0.48831677436828613,
-0.1469252109527... |
Part 1. Definition
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Part 2. Example
6 @ 17
Answer: 23
Explanation: Here, '@' represents the addition operation. So, the answer is 23 (6+17=23).
Part 3. Exercise
2112 # 4368 # 4392 @ 6549 # 7640 @ 9870 @ 4722
Answer: | 6853 | 7 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
0.16808633506298065,
0.6026406288146973,
-0.7307134866714478,
-0.1739017367362976,
-0.46884316205978394,
-0.2841882109642029,
0.9737764596939087,
1.4586482048034668,
0.752100944519043,
-0.06301943957805634,
-0.42354336380958557,
-0.3848767876625061,
-0.02264401875436306,
-0.098754502832889... |
TASK DEFINITION: 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.
PROBLEM: Middle: I decided to eat it and save money. Ending: I was happy to eat all the leftover food.
SOLUTION: I had a refrigerator full of leftover food.
PROBLEM: Middle: I was almost hit by a car. Ending: It was the car that sped past me earlier
SOLUTION: One day I went for a walk
PROBLEM: Middle: Rio went to the hospital and was admitted. Ending: In the morning, they discharged Rio, pronouncing her healthy.
SOLUTION: | Rio's chest hurt badly.
| 8 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.034719936549663544,
0.5430331826210022,
-0.23745200037956238,
-0.3224185109138489,
-0.6968729496002197,
0.3336028456687927,
1.0803561210632324,
0.5286080837249756,
0.047146275639534,
-0.7239722609519958,
-0.34889522194862366,
0.04062972962856293,
-0.29141855239868164,
0.1087002083659172,... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
Q: ['6889', 'n', '4627', 'J', 'H', '3877', '2153', 'u', 'C', '7905', 'z', '6741', 'h', '2751', 'w', '5607', '7627', '3673', 'K', 'O']
A: | Numbers and Alphabets are Tied | 4 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.316771924495697,
0.7748143672943115,
-0.466075599193573,
-0.19165107607841492,
-0.40057572722435,
-0.3414979577064514,
0.3728201985359192,
-0.5837793946266174,
-0.24968492984771729,
0.20592066645622253,
-0.8136835098266602,
-0.051288358867168427,
-0.03801645711064339,
0.3229412436485290... |
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 review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \"fresh juice\" is really margarita mix on tap from the same gun as the sprite. I asked for something fresh to replace the horrible margarita and received a rocks glass with just muddled lime and a salted rim. I'm not sure it contained any tequila. Horrible! It's not that hard to make a fresh margarita!
Solution: 2 stars
Why? The writer has been annoyed in this place and has enjoyed the food. So, "2 stars" sounds reasonable for it.
New input: Tried Bite this morning with my wife. The staff was very friendly and attentive. Their menu offered a large variety of appealing choices- including vegetarian options- which made deciding what to order a little difficult. I decided to order the Caramel Apple Waffles which came out quickly with lovely presentation and tasted like the delicious love child of a Belgium waffle and a churro. \n\nWe will definitely be coming back and recommending Bite to our friends.
Solution: | 5 stars | 0 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.0029591829515993595,
0.7511951923370361,
-0.41913336515426636,
-0.2358119785785675,
0.38742682337760925,
-0.5293576121330261,
0.3784613013267517,
0.8316642045974731,
-0.07691740989685059,
-0.0608835443854332,
0.3936644196510315,
-0.00016726134344935417,
-0.8881165981292725,
0.49482363462... |
Given the task definition and input, reply with output. In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two given sets, A and B is a set that consists of all the elements of A and all the elements of B such that no element is repeated.
Set1: '{17, 2}', Set2: '{11}'. How many elements are there in the union of Set1 and Set2 ?
| 3 | 5 | NIv2 | task244_count_elements_in_set_union | zs_opt | [
0.11200506240129471,
0.8251955509185791,
-1.0227131843566895,
-0.11213096231222153,
-0.3726692199707031,
0.36256080865859985,
0.46222829818725586,
0.27192965149879456,
-0.2693355977535248,
-0.22336003184318542,
-0.8602291941642761,
0.09820976853370667,
0.31582242250442505,
0.06037357449531... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
3 تا موسس نت اسکیپ دارن.
| Netscapeの創業者は3人ともそうです | 5 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.35751858353614807,
0.07609382271766663,
-0.00883434433490038,
-0.14522260427474976,
-0.00849736388772726,
0.5748721361160278,
0.6815572381019592,
-0.19405098259449005,
0.8434208631515503,
-0.6047878265380859,
-0.43976378440856934,
0.4929581582546234,
-0.33243924379348755,
0.008361154235... |
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.
Q: بزرگترین عامل انحطاط تمدن ها حرص و آزمندی است. در این مسیر عیش طلبی و شهوت رانی به عنوان مظاهر عمده زوال اجتماعی، جامعه را به ناامنی و بیعفتی سوق می دهد.
اختلافات طبقاتی اساسیترین دلیل انحطاط تمدنها است که در آن عیش طلبی، جامعه را به سمت بیعفتی هدایت می کند.
A: | C | 4 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.7966970801353455,
0.31051868200302124,
0.4368632435798645,
-0.04020918905735016,
-0.32187360525131226,
0.34541240334510803,
0.4838583469390869,
0.4223100543022156,
-0.07940524816513062,
-0.40360337495803833,
-0.28114157915115356,
0.09138354659080505,
-0.6841311454772949,
-0.326240003108... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Ex Input:
News Headline: The joke is on voters who trusted Trump ’s {healthcare} promises
Edit: marriage
Ex Output:
Not Funny
Ex Input:
News Headline: ' We have plenty of {time} ' : Congress may delay decision on fate of 700,000 Dreamers
Edit: toilets
Ex Output:
Funny
Ex Input:
News Headline: Nutella sale leads to ugly {brawls} in French supermarket aisles
Edit: toast
Ex Output:
| Funny
| 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.10381683707237244,
0.6842150688171387,
0.3901105523109436,
0.28845691680908203,
-0.37014535069465637,
-0.3135524392127991,
0.1248408630490303,
1.2037739753723145,
-0.27563899755477905,
-0.051996104419231415,
-0.44699448347091675,
0.08973227441310883,
-0.46314752101898193,
-0.16948345303... |
Detailed Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Problem:The reaction can be studied in an in-vitro packaging and replication system involving purified procapsids and ssRNA.
Solution: | method | 8 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.0381343699991703,
0.6249298453330994,
0.3638336956501007,
-0.1574966013431549,
-0.39037036895751953,
0.5295259952545166,
0.25161951780319214,
0.4806306064128876,
0.30150169134140015,
-0.22508129477500916,
-0.5069953799247742,
0.2273411601781845,
-0.3540560305118561,
0.4344700872898102,
... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
One example is below.
Q: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID و رمز عبور خود را فراموش کردم ، چه کاری باید انجام دهم؟
A: not-paraphrase
Rationale: This is a good example. The first sentence is about forgetting email, and the second one is about forgetting the password, so they are not paraphrases.
Q: خواندن چه سوره ای برای میت ثواب دارد؟ <sep> خواندن کدام سوره برای میت ثواب دارد؟
A: | paraphrase | 9 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.8134384155273438,
0.8943659067153931,
-0.0638490840792656,
-0.5871735215187073,
-1.0152788162231445,
0.18104329705238342,
1.8095091581344604,
0.3383099138736725,
0.35559725761413574,
-0.4310932755470276,
-0.40934672951698303,
-0.31855446100234985,
-0.5411074161529541,
0.3473413586616516... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
See one example below:
Problem: Query: Tell me about defender
Clarification: are you referring to the arcade game called defender
Solution: Yes
Explanation: The given clarification properly clarify the query. Hence, the output is Yes.
Problem: Query: what is the best long term care insurance
Clarification: do you want to knwo vest vines for shade
Solution: | No | 4 | NIv2 | task227_clariq_classification | fs_opt | [
-0.46606048941612244,
0.1608629822731018,
-0.2363595813512802,
-0.09050054103136063,
-0.6090680360794067,
-0.9672843813896179,
0.8646422624588013,
0.47918036580085754,
0.4506605267524719,
0.1222056970000267,
0.3822891116142273,
-0.2915918827056885,
-0.7492915987968445,
0.2721765339374542,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
[Q]: Amelia entered the office. Avery entered the office. The pumpkin is in the green_pantry. Amelia moved the pumpkin to the red_bottle. William entered the staircase. Amelia entered the staircase. The apple is in the blue_pantry. William moved the apple to the blue_box. Avery is in the office. Amelia entered the office. The pumpkin is in the red_bottle. Phone rang. Avery moved the pumpkin to the green_pantry. Amelia entered the study. Avery entered the study. The corn is in the green_envelope. Amelia moved the corn to the red_cupboard. Where does Amelia think that Avery searches for the corn?
[A]: red_cupboard
[Q]: Liam entered the study. Elizabeth entered the study. The carrot is in the blue_treasure_chest. Elizabeth exited the study. Liam moved the carrot to the red_bottle. Elizabeth entered the workshop. Liam entered the workshop. The banana is in the green_bucket. Phone rang. Liam exited the workshop. Elizabeth moved the banana to the green_crate. Jackson entered the sunroom. Avery entered the sunroom. The cabbage is in the blue_crate. Avery exited the sunroom. Jackson moved the cabbage to the green_drawer. Avery entered the workshop. Phone rang. Liam entered the workshop. Phone rang. The strawberry is in the green_crate. Liam exited the workshop. Avery moved the strawberry to the green_bucket. Where was the strawberry at the beginning?
[A]: green_crate
[Q]: James entered the den. Amelia entered the den. The grapefruit is in the green_box. James moved the grapefruit to the green_basket. Oliver entered the study. Amelia entered the study. The lettuce is in the green_treasure_chest. Oliver moved the lettuce to the blue_treasure_chest. Oliver entered the basement. Amelia entered the basement. The pumpkin is in the red_bottle. Oliver moved the pumpkin to the red_drawer. James is in the den. Amelia entered the den. The grapefruit is in the green_basket. James moved the grapefruit to the green_box. Where is the grapefruit really?
[A]: | green_box
| 5 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.00411597266793251,
-0.46907827258110046,
-0.07700104266405106,
-0.5413217544555664,
-0.18903569877147675,
-1.1026084423065186,
-0.44310593605041504,
0.6366100311279297,
0.3864039182662964,
0.09263831377029419,
-0.5169181227684021,
0.5018230676651001,
0.24410544335842133,
0.25325262546539... |
TASK DEFINITION: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
PROBLEM: story: Emma was working on her math homework. She asked her dad to help her. Her dad didn't understand the problem. Emma called her classmate. Emma's classmate explained the problem.
selected sentence: Her dad didn't understand the problem.
SOLUTION: Her dad want(s) to help her with the problem >Motivates> He doesn't understand the problem
PROBLEM: story: Paul took his son to school. But he forgot to give him a lunch. So his son shared food with his friend. But the food made him sick. And Paul never let his son eat school food again.
selected sentence: And Paul never let his son eat school food again.
SOLUTION: Paul want(s) his son to be healthy >Motivates> Paul never lets his son eat school lunch again
PROBLEM: story: Someone sent me a new song to check out. I liked it so much that I turned the volume up. I must have turned the volume louder than I thought. The neighbors called the cops on me! I turned down the volume when they told me to.
selected sentence: Someone sent me a new song to check out.
SOLUTION: | I feel(s) curiosity >Motivates> I check out a new song
| 8 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.043352194130420685,
0.14107489585876465,
-0.18460378050804138,
-0.09015120565891266,
-0.2862584590911865,
-0.6495868563652039,
1.0238466262817383,
0.6385267376899719,
-0.04618094488978386,
0.023199399933218956,
-0.4529182016849518,
0.3529624342918396,
-0.5646710395812988,
-0.255821228027... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.
Person1: Hi , Mikel . What's with you ? You look angry .
Person2:No , I just check my weight , I'm getting fatter .
Person1: True , you are getting a really pot belly , aren't you ?
Person2:I'll get you for that comments , George .
Person1: Just kidding , Mikel . Why don't you come work out with me ?
Person2:ah , I don't know a fit works . Last time , all I saw the gym were bunch of lidos , like me .
Person1: It works if you keep at it . Come on , let's go !
Person2:All right . But so help me it's a better work .
Person1: This feels great . I'm all reed up . I can keep going all night .
Person2:Not me . I'm too hot and I'm too tired .
Person1: Exercise has no benefit unless you sweat like a pig .
Person2:Well , that's not for me .
Person1: Thanks for coming , it was a real blessed .
Person2:It wasn't as good as you think .
Person1: You'll get used to it , Mikel , trust me .
informal
Person1: how did you do on your BELTS exam ?
Person2:fantastic ! I got an overall score of eight .
Person1: that's excellent ! Have you received your conditional offers yet ?
Person2:yes . I'm just waiting until I officially get admitted to the university with a conditional offer to apply for my visa .
Person1: do you know where the visa office is ?
Person2:no .
Person1: it's just near the Dong Si Shi Tiao subway stop .
Person2:that's not too far away . Do you think I'll get a visa ?
Person1: have you ever gone abroad before ?
Person2:yes , I've been to Tailband , Egypt , and Japan .
Person1: have you ever been denied a visa before ?
Person2:never .
Person1: that's good . Are you planning on immigrating to another country ?
Person2:no , I want to come back to China after I graduate .
Person1: that's exactly what the visa officers want to hear . Do you have enough money for tuition and room and board ?
Person2:I've received a full scholarship , so I won't need any other money to live off while I'm studying .
Person1: I think you have a very good chance of getting a visa . I can help you prepare for the visa interview if you want .
Person2:that's be great . The more prepared I am , the better .
informal
Person1: Another glass of beer , will you ?
Person2:Thanks , I'm enough .
Person1: At least one for your trip .
Person2:I'll have it if you insist .
| informal
| 0 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.31615346670150757,
0.32439324259757996,
-0.34635114669799805,
-0.23806564509868622,
0.13459542393684387,
0.0922728031873703,
0.7265059947967529,
0.1659850776195526,
-0.3589860498905182,
-0.016619939357042313,
-0.23854376375675201,
-0.32583320140838623,
-0.3077714145183563,
0.582142114639... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Example: Sentence: 'as a guy jumps over the snow with his snowboard people riding on the lift behind him look on'. Reverse all words of length '6' in the given sentence.
Output: as a guy jumps over the snow with his snowboard elpoep gnidir on the lift dniheb him look on
Words 'people', 'riding', 'behind' are of length 6. Reversing these words results in 'elpoep', 'gnidir', and 'dniheb' respectively. So this is a correct answer.
New input case for you: Sentence: 'an animal cracker next to an yellow apple'. Reverse all words of length '6' in the given sentence.
Output: | an lamina cracker next to an wolley apple | 1 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.6193491220474243,
0.8647525310516357,
0.14544816315174103,
-0.30987778306007385,
-0.12387692928314209,
0.08221130818128586,
0.06812412291765213,
0.39018622040748596,
0.06720630824565887,
-0.9910659193992615,
-1.221480131149292,
0.1982150673866272,
-0.6887848377227783,
0.1853962540626526... |
Part 1. Definition
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Part 2. Example
Amends the Water Resources Development Act of 1999 to: (1) authorize appropriations for FY 1999 through 2009 for implementation of a long-term resource monitoring program with respect to the Upper Mississippi River Environmental Management Program (currently, such funding is designated for a program for the planning, construction, and evaluation of measures for fish and wildlife habitat rehabilitation and enhancement); (2) authorize the Secretary of the Army to carry out modifications to the navigation project for the Delaware River, Pennsylvania and Delaware, if such project as modified is technically sound, environmentally (currently, economically) acceptable, and economically justified; (3) subject certain previously deauthorized water resources development projects to the seven-year limitation governing project deauthorizations under the Act, with the exception of such a project for Indian River County, Florida; (4) except from a certain schedule of the non-Federal cost of the periodic nourishment of shore protection projects constructed after December 31, 1999, those projects for which a District Engineer's Report has been completed by such date; (5) require that the project cooperation agreement for the Comite River Diversion Project for flood control include a provision that specifies that any reduction in the non-Federal share that results from certain modifications be credited toward the share of project costs to be paid by the Amite River Basin Drainage and Water Conservation District; (6) allow the Secretary to provide additional compensation to Chesapeake City, Maryland (currently, to the City of Chesapeake, Maryland) for damage to its water supply resulting from the Chesapeake and Delaware Canal Project; (7) provide for the submission of certain reports on water resources development projects by the Secretary, notwithstanding Federal reporting termination provisions; and (8) authorize and provide for an authorization of appropriations for the existing program for the safety and operations expenses of the Federal Railroad Administration, and make available for obligation funds currently appropriated for such program.
Answer: To make technical corrections to the Water Resources Development Act of 1999.
Explanation: This Bill makes corrections to the Water Resources Development Act of 1999, hence the generated title is correct.
Part 3. Exercise
Juvenile Justice Improvement Act of 2009 - Amends the Juvenile Justice and Delinquency Prevention Act of 1974 to: (1) revise and add definitions under such Act relating to the treatment of juveniles held in custody while awaiting trial for criminal offenses; (2) require state plans under such Act to separate juveniles from the adult prison population, monitor for and eliminate the use of dangerous practices, unnecessary isolation, unnecessary room time, and unreasonable restraint for holding juveniles in custody, and provide training of prison staff on techniques for effective behavior management of juvenile offenders; (3) provide incentive grants to states to adopt programs for the mental health treatment needs of juveniles in custody and for the placement of such juveniles in the least restrictive detention or correctional settings; and (4) prohibit the placement of juveniles who have not been charged with adult criminal offenses in secure detention or correctional facilities.
Answer: | To amend the Juvenile Justice and Delinquency Prevention Act of 1974 with respect to juveniles who have committed offenses, and for other purposes. | 7 | NIv2 | task1659_title_generation | fs_opt | [
0.15817183256149292,
0.3597830533981323,
-0.47087597846984863,
-0.6749968528747559,
0.35337507724761963,
-0.7664071321487427,
0.8632382750511169,
1.0612469911575317,
-0.43203794956207275,
0.06793823838233948,
0.5087001323699951,
0.48455795645713806,
-0.6659616231918335,
-0.0449054613709449... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
Example: CONTEXT: Taxonomía El avión roquero fue descrito formalmente como Hirundo rupestris por el naturalista italiano Giovanni Antonio Scopoli en 1769, si bien luego fue clasificado en el nuevo género Ptyonoprogne en 1850 por el ornitólogo alemán Heinrich Gustav Reichenbach.Sus parientes más cercanos son los otros integrantes del género, que son el avión isabelino (P. fuligula), el avión oscuro (P. concolor) y el avión pálido (Ptyonoprogne obsoleta). El nombre del género se deriva del griego ptuon (φτυον), «abanico», en referencia a la forma de la cola cuando está abierta, y Procne (Πρόκνη), una doncella mitológica que fue transformada en una golondrina. El nombre específico, rupestris significa «de las rocas» y se deriva del latín rupes, «rocas». No se han reconocido subespecies, aunque se propuso la existencia de dos razas, P. r. centralasica y P. r. theresae, la primera habitante de Asia Central y la segunda, de los montes Atlas en Marruecos, pero las mínimas diferencias en tamaño y colorido no tienen un patrón geográfico definido. Se hallaron fósiles de la especie en el estrato del pleistoceno tardío en Bulgaria, y en el centro de Francia en sedimentos de entre 242 000 y 301 000 años de antigüedad.
ANSWER: Ptyonoprogne
Example solution: ¿Qué género se asigna el avión roquero en 1850?
Example explanation: The question addresses the necessary ingredients to get to the answer from the context provided. It asks about the type of the rock plane, which is the given answer.
Problem: CONTEXT: 5 de abril de 2005 El papa Juan Pablo II trajo malestar al gobierno de la China en estos últimos días, y motivó prisiones y acciones contra la libertad de expresión, según relatan las agencias de noticias. Al mismo tiempo que el gobierno de Pekín envía condolencias al Vaticano, continúa una ola de prisiones contra decenas de católicos. El Vaticano ya protestó contra las prisiones de líderes católicos. Algunas de las últimas prisiones incluyen el padre Wang Jinling el 1 de abril y el obispo auxiliar Yao Liang, el 31 de marzo. Muchos otros católicos ya fueron apresados, sin ninguna acusación formal contra ellos. Aparentemente algunos websites fueron censurados. Había numerosos de fórums de discusión y de charla sobre la figura de Juan Pablo en los populares sitios Sina.com y Sohu.com, pero, desde el 2 de abril, casi toda información relacionada al papa desapareció. Según un operario del gobierno que cuida de la Internet: "Con base en reglas del país, necesitamos 'cuidar' de las informaciones nocivas". Mientras que la atribución no es legalmente obligatoria, sería agradecida.
ANSWER: el 2 de abril
| Solution: ¿Cuándo fue eliminada la información relativa al papa de las páginas web? | 5 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.8230686783790588,
0.2950235605239868,
-0.6925977468490601,
0.41100114583969116,
-0.24666298925876617,
-0.01570180244743824,
0.38519081473350525,
1.4401144981384277,
0.17252404987812042,
0.049277447164058685,
-0.406177818775177,
0.8453035354614258,
-0.524228572845459,
0.2667645215988159,
... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
[Q]: Tweet: @QuicoSalles @KRLS JAJAJAJAJAJA “Colonitzador” JAJAJAJAJAJA Baixa de Montserrat, va
[A]: Against
[Q]: Tweet: RT @joanestevegp: Ahir l’única violència va ser la dels mossos defensant els feixistes. https://t.co/rlX6ot8QVu
[A]: Favor
[Q]: Tweet: RT @SoniaSierra02: #JoNoFaigVaga21F perquè està convocada por un asesino https://t.co/RweMbCFzme
[A]: | Against
| 5 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.0637902244925499,
0.9318296909332275,
-0.10832256078720093,
0.326784610748291,
-0.579265832901001,
-1.3415536880493164,
0.20704978704452515,
1.0588161945343018,
-0.2061745524406433,
0.3527471125125885,
-0.3237899839878082,
-0.21318423748016357,
-0.19436416029930115,
-0.5700799226760864,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the name of the church home to a conservative , low church , non-conformist , evangelical Christian movement whose history can be traced to Dublin , Ireland , in the late 1820s , originating from Anglicanism ?
, Word: non-conformist
, POS tag: JJ
Output: | True | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.013122440315783024,
0.2787460684776306,
-0.6674409508705139,
0.2818804979324341,
-0.13953033089637756,
-0.9873669147491455,
0.9112193584442139,
0.5516505837440491,
-0.38978201150894165,
-0.01729380153119564,
-0.12882086634635925,
0.4914701282978058,
-0.22971799969673157,
-0.000242084090... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Hypothesis: It's rude to swear at people, even in another language.
Update: They might know the language you're using and be hurt.
Output: | strengthener | 1 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.2572867274284363,
0.833702802658081,
0.07054637372493744,
0.028938839212059975,
0.05258018523454666,
-0.5880993008613586,
1.0171971321105957,
0.7570056915283203,
0.4696510434150696,
-0.5609636902809143,
-1.2018404006958008,
-0.37407928705215454,
-0.34350281953811646,
-0.0744127705693245... |
Detailed Instructions: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Q: [37, 51, -89]
A: | 140 | 9 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.3999297618865967,
0.5856083631515503,
0.25945907831192017,
-0.5208654999732971,
-0.4971826374530792,
-0.21145784854888916,
0.6750634908676147,
-0.14500437676906586,
0.9592930674552917,
-0.019565192982554436,
-0.16572314500808716,
-0.3332257866859436,
-0.5534822940826416,
0.2620816230773... |
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) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
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 argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
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 argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
eq { hop { nth_argmin { all_rows ; black knights points ; 4 } ; date } ; oct 20 } = true
Output: | select the row whose black knights points record of all rows is 4th minimum . the date record of this row is oct 20 . | 1 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.3059460520744324,
-0.37152519822120667,
-0.25115877389907837,
0.5538676381111145,
0.33278322219848633,
-0.30942070484161377,
0.41440021991729736,
0.6140559315681458,
0.04791148751974106,
-0.14457014203071594,
-0.5002810955047607,
-0.20103579759597778,
0.4214984178543091,
0.47711563110351... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Was bauen Sie auf, wenn Sie kräftig trainieren?
Options: A Nahrungsmittelbedarf B Durst C Muskeln D Fitness E Schwitzen
Output: | B | 1 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | zs_opt | [
-0.1680934727191925,
0.9683592915534973,
0.059013284742832184,
-0.15865875780582428,
-0.38862624764442444,
0.5963168144226074,
1.3862953186035156,
0.7005674242973328,
0.27599552273750305,
-0.7587587833404541,
-0.1227889358997345,
-0.020178087055683136,
-0.7543964982032776,
-0.2831665277481... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Problem:Ministry of Finance Source to know the Type of Bank Account
Solution: | ব্যঙ্ক অ্যাকাউন্টের উৎসের বিষয়ে অনুসন্ধান নয়াদিল্লি, ২৬ জুন, ২০১৯ | 8 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.07479903846979141,
-0.20523831248283386,
-0.26994413137435913,
-0.027525857090950012,
0.1921548694372177,
-0.41625118255615234,
0.8295612335205078,
-0.028489574790000916,
0.47798168659210205,
-0.05747552961111069,
-0.31374573707580566,
-0.37441694736480713,
-0.8261609077453613,
0.5297769... |
Q: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
The new Governor could elect serve to out the remainder of his or her predecessor's term.
A: | Inversion | 7 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.9374828934669495,
0.4669073224067688,
0.38577795028686523,
0.0012293849140405655,
0.08390164375305176,
-0.3991934359073639,
0.2791718542575836,
0.5762056708335876,
0.22167715430259705,
-0.4074767827987671,
-0.5132014155387878,
-0.20118603110313416,
-0.1368846297264099,
0.363871812820434... |
Definition: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Input: qxshja, PzshHG
Output: | sh | 2 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.2472289502620697,
0.8560663461685181,
-0.1865483671426773,
-0.29190120100975037,
-0.22605249285697937,
0.3348217010498047,
0.6064342856407166,
-0.8319699764251709,
0.03235367685556412,
-0.038925930857658386,
-0.8561327457427979,
-0.1710541844367981,
0.18249639868736267,
0.08365602046251... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
eq { hop { nth_argmax { all_rows ; pick ; 2 } ; player } ; pat tillman } | ordinal | 0 | NIv2 | task212_logic2text_classification | zs_opt | [
0.07616778463125229,
-0.23622670769691467,
-0.4044865667819977,
0.25977593660354614,
0.3444932699203491,
-0.45003923773765564,
0.7324137687683105,
0.6028522253036499,
0.3953133523464203,
-0.020304866135120392,
-0.22274720668792725,
0.1015758290886879,
0.006370427552610636,
0.53163528442382... |
Instructions: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Input: Sentence: 'a large yellow lizard kite flying over a field'. Remove all words of length '6' in the given sentence.
Output: | a large kite over a field | 3 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.3651760220527649,
0.7940559387207031,
-0.41925475001335144,
-1.0934549570083618,
-0.0507843941450119,
-0.534617006778717,
-0.830290675163269,
0.13806819915771484,
-0.6344829201698303,
-0.5515855550765991,
-0.6690480709075928,
-0.6147226095199585,
-0.7919290065765381,
0.47350990772247314... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
FarsNet [20] [21] is the first WordNet for Persian, developed by the NLP Lab at Shahid Beheshti University and it follows the same structure as the original WordNet.
Question: What is the WordNet counterpart for Persian?
Output: | FarsNet | 1 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.46033143997192383,
0.8395214676856995,
-0.03628728538751602,
-0.26763617992401123,
-0.5586745738983154,
0.7161885499954224,
0.8827166557312012,
0.10120003670454025,
0.17157524824142456,
-0.01212290022522211,
-0.6810798645019531,
0.6319915652275085,
-1.2256884574890137,
0.104797989130020... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปารีส ประเทศฝรั่งเศส
Example solution: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example explanation: The Thai sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Problem: เหตุระเบิดและไฟไหม้ช่วงกลางคืนที่โรงกลั่นน้ำมัน ในเมืองอานาคอร์เทส รัฐวอชิงตันของสหรัฐ ซึ่งอยู่ห่างจากเมืองแวนคูเวอร์ของแคนาดาไปทางใต้ประมาณ 80 ไมล์ เมื่อวานนี้ทำให้มีผู้เสียชีวิตสี่คน และบาดเจ็บสาหัสสามคน
| Solution: カナダのバンクーバーから約80マイル南にある、アメリカのワシントン州アナコーテスにあるワシントン州製油所で一晩中、爆発と火災があり、昨日4人が死亡して3人が負傷して危篤状態にある。 | 5 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.6092913150787354,
0.33598268032073975,
-0.5052712559700012,
0.6207596659660339,
0.11548266559839249,
-0.7689782977104187,
-0.11325658857822418,
0.7319128513336182,
-0.25210586190223694,
-0.05279466509819031,
-0.6176589727401733,
0.7659376859664917,
-0.1679447889328003,
0.5886844396591187... |
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.
Input: Consider Input: 2, 3, ['T', '9003', '3731', '287', '7101', 'm', '2147', '6123', '6319']
Output: 13733009
Input: Consider Input: 10, 19, ['V', '2245', '8933', '3669', '7723', 'v', '1895', 'w', 'N', 'g', '3075', 'k', '813', '3569', 'i', 'j', '4087', 'M', '4019', 'n', 'E', 'p']
Output: 9104M7804ji9653318k5703g
Input: Consider Input: 1, 3, ['J', 'U', 'O', '7361']
| Output: OUJ
| 2 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.09838102757930756,
0.06952045857906342,
-0.5959634780883789,
-0.058179259300231934,
-0.038748253136873245,
-0.015167566947638988,
0.3750801682472229,
0.28536176681518555,
-0.424670934677124,
0.1529189944267273,
-0.966454267501831,
-0.16247093677520752,
0.17968438565731049,
-0.3676375746... |
Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
Input: ['9915', '4029', '4409', 'N', '211', 'o', '2261', '1651', 'N', '2887', 'Z', '2939', '4905', 'p', 'I', '8153', '3995', 'Z', 'f', 'w', '5825', 'F', '5501', 'H', '6275', '5611', 'D', '1979', 'g', 'j', '3023', '1807', '677']
Output: | N, o, N, Z, p, I, Z, f, w, F, H, D, g, j, 9915, 4029, 4409, 211, 2261, 1651, 2887, 2939, 4905, 8153, 3995, 5825, 5501, 6275, 5611, 1979, 3023, 1807, 677 | 3 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.04777918756008148,
0.6331539154052734,
-0.5158366560935974,
-0.31196388602256775,
0.11078958213329315,
-0.24367205798625946,
0.5871641039848328,
0.3865874707698822,
-0.2633364796638489,
0.7576628923416138,
-1.0326597690582275,
0.29579657316207886,
-0.026292208582162857,
-0.4863570630550... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[766, 66, 260, -682, -86, 317]
| [770, 70, 260, -680, -90, 320] | 5 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7223334908485413,
0.6482776403427124,
0.30840638279914856,
-0.2812116742134094,
-0.4743070602416992,
-0.15878397226333618,
0.5190238952636719,
-0.5711480975151062,
-0.0850895494222641,
0.05089997500181198,
-0.5351543426513672,
0.2658667266368866,
-0.5979998707771301,
0.01857704110443592... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether The Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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.
Let me give you an example: Head: PersonX plays a song<sep>Tail: to hear music.
The answer to this example can be: Yes
Here is why: This is a good example. PersonX plays a song because PersonX wanted to hear music.
OK. solve this:
Head: PersonX answers PersonY question<sep>Tail: to teach
Answer: | Yes | 8 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.7689411044120789,
-0.12295429408550262,
0.08931558579206467,
0.2715739905834198,
-0.1728467047214508,
-1.3701717853546143,
1.3096215724945068,
0.4507952332496643,
-0.906705379486084,
-0.0457892008125782,
-0.20671603083610535,
-0.7339452505111694,
-0.8746780157089233,
-0.40300577878952026... |
Teacher:In this task your given two statements in Haitian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Teacher: Now, understand the problem? Solve this instance: Madanm nan te kouvri zanmi ni ak ti sousou.
Li te vle mande li yon favè.
Student: | cause | 6 | NIv2 | task1169_xcopa_commonsense_cause_effect_ht | zs_opt | [
-0.22231456637382507,
0.19877168536186218,
-0.4319486618041992,
-0.550555944442749,
-0.11405133455991745,
-0.4584784507751465,
0.3449186086654663,
0.1929609775543213,
0.10075756907463074,
-0.34260743856430054,
-0.302120566368103,
0.15049134194850922,
-0.8538023233413696,
0.1953703165054321... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
[EX Q]: claim: Gay couples should be allowed to marry.
perspective: Heterosexuals shouldn't enjoy greater rights than homosexuals.
[EX A]: support
[EX Q]: claim: The world should go vegan.
perspective: There is nothing inherently cruel about raising animals for food.
[EX A]: undermine
[EX Q]: claim: Abolish the Superdelegate System for Democratic Party Conventions.
perspective: It is not democratic for some votes to be worth more than others.
[EX A]: | support
| 6 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.5730650424957275,
0.2397710680961609,
0.6025570631027222,
0.21018695831298828,
-0.412502259016037,
-0.6025493144989014,
0.9373242855072021,
0.45755717158317566,
0.31199315190315247,
0.055584616959095,
-0.352120041847229,
-0.3472900092601776,
-0.37129929661750793,
-0.0737338587641716,
... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: @UpdharmaDown wow, amazing.. it's like a video version of an action sampler lomo.
Example Output: positive
Example Input: @youronlyfan please stop twittering about your enjoyment with my goods, youre making me jealous i love you
Example Output: negative
Example Input: i knew going out last night was a bad idea. i've had the worst hangover all day and got fuck all revision done
Example Output: | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.3566546440124512,
-0.05785149708390236,
0.7283409833908081,
0.5940181016921997,
0.15069708228111267,
-0.5005593299865723,
-0.0520622693002224,
1.0582330226898193,
0.0673525482416153,
0.3142881393432617,
-0.6058963537216187,
-0.0626644492149353,
-0.2174564003944397,
-0.8681004047393799,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: I am interested in finding facts about Michigan today?
A: user
****
Q: Oh thats cool, do they have any special features
A: user
****
Q: So possibly ready for an expansion in some area. Are there any other intriguing economic factors that would be useful for business purposes?
A: | user
****
| 4 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.5854234099388123,
0.5631782412528992,
-0.05233976989984512,
-0.6339284181594849,
-0.3891584873199463,
0.0991581603884697,
0.4086723327636719,
0.045037657022476196,
0.7984075546264648,
-0.21788309514522552,
-0.4765704274177551,
-0.8045047521591187,
-0.07711438834667206,
0.015298759564757... |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Problem:Asam_pedas | country | "Indonesia and Malaysia"
Solution: | Asam pedas comes from the countries of Indonesia and Malaysia. | 8 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.336033433675766,
0.4766470789909363,
-0.16299307346343994,
-1.301755666732788,
-0.9355700016021729,
-0.2283959686756134,
1.3665432929992676,
-0.448525071144104,
-0.6657928228378296,
-0.03627319633960724,
-1.2307312488555908,
0.7126398086547852,
0.03432264178991318,
-0.033055566251277924... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: Xa sabemos o dos fumadores, as barriñas Mars fritidas, as patacas... a dieta de Glasgow.
Output: | الان, نعرف التدخين أصابع مارس المقلية, ارقائق لبطاطس — و حمية جلاسقو | 3 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
0.14949846267700195,
0.7858403921127319,
0.03638685867190361,
-1.549508810043335,
-0.20201800763607025,
-1.2508294582366943,
0.9194601774215698,
-0.1608876883983612,
0.018136197701096535,
0.2568550705909729,
-0.4915684461593628,
-0.22269628942012787,
-1.2233996391296387,
0.5636293292045593... |
TASK DEFINITION: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
PROBLEM: Title: The Gun. Sentence 1: Andrew bought something for his hunting trip. Sentence 2: It was a new gun. Sentence 3: He was eager to test it out. Sentence 4: He saw an elk grazing in the field.
SOLUTION: He raised his gun to shoot it for the first time.
PROBLEM: Title: Uh-Oh. Sentence 1: A woman went to the post office. Sentence 2: She stood in line for a while. Sentence 3: She began to pass out. Sentence 4: Another woman caught her.
SOLUTION: They called the ambulance.
PROBLEM: Title: Snowing. Sentence 1: Kate was restless on a very snowy day. Sentence 2: Her mother wouldn't allow her to play outside. Sentence 3: She went downstairs to the basement. Sentence 4: She walked in circles and imagined the beach.
SOLUTION: | An hour later she figured she had enough exercise and went upstairs.
| 8 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.2296462506055832,
0.29333317279815674,
-0.6614145636558533,
-0.40761879086494446,
-0.06837811321020126,
-0.4889708161354065,
0.6971613168716431,
0.876339316368103,
0.23255464434623718,
-0.144008606672287,
-0.7317051887512207,
-0.0401756726205349,
-0.38923823833465576,
0.1161050871014595... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
One example: מונטריי היא אחת מהם.
Solution is here: Monterey is one of those.
Explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.
Now, solve this: הם באו לשלושה ימים.
Solution: | They came for three days. | 6 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.10314087569713593,
0.535934329032898,
0.3263413906097412,
-0.5293682813644409,
-0.7335706949234009,
-0.8753790259361267,
0.2846188247203827,
-0.04179307073354721,
0.8449338674545288,
-0.2996341586112976,
-0.43063223361968994,
0.4652986526489258,
-0.458293080329895,
-0.24128058552742004,... |
Detailed Instructions: In this task, you need to Translate Czech text to English.
Q: Je popsán zlepšený způsob barvení vláknitého výrobku obsahujícího vlákna z polyamidu za použití alespoň jednoho aniontového barviva, a také výrobky vybarvené tímto způsobem. Při tomto způsobu se postupuje tak, že se výrobek ponoří do barvicí lázně obsahující kapalné rozpouštědlo pro aniontové barvivo. Kapalné rozpouštědlo a výrobek se zahřeje na teplotu, která je alespoň rovná teplotě barvicího přechodu vlákna z polyamidu. Aniontové barvivo se přidává k barvicí lázni ve formě mísitelného kapalného koncentrátu regulovanou rychlostí. Alespoň část barviva se přidá v době, kdy má lázeň a výrobek teplotu, která je alespoň rovná teplotě barvicího přechodu. V průběhu doby přidávání barviva a v době, kdy je teplota rozpouštědla a výrobku zvýšena na teplotu barvicího přechodu, se lázeň míchá, aby se barvivový koncentrát smíchal s rozpouštědlem v lázni, za vzniku zředěného roztoku barviva a aby se zajistil tok zředěného barvivového roztoku, vzhledem k výrobku, jehož následkeŕ
A: | An improved method of dyeing a fibrous article comprising polyamide fibers using at least one anionic dye, as well as articles dyed in this manner, is described. In this process, the product is immersed in a dye bath containing a liquid solvent for the anionic dye. The liquid solvent and the article are heated to a temperature that is at least equal to the dyeing transition temperature of the polyamide fiber. Anionic dye is added to the dye bath as a miscible liquid concentrate at a controlled rate. At least a portion of the dye is added at a time when the bath and product have a temperature that is at least equal to the dyeing transition temperature. During the dye addition time and while the solvent and product temperature is raised to the dyeing transition temperature, the bath is mixed to mix the dye concentrate with the solvent in the bath to form a diluted dye solution and to ensure the flow of the diluted dye solution relative to the dye. to a product whose consequence | 9 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.10067605972290039,
0.1514715552330017,
-0.5806391835212708,
0.28439801931381226,
-0.5147784352302551,
-0.5382821559906006,
-0.31412050127983093,
1.4485114812850952,
-0.7436792850494385,
-0.051103271543979645,
-0.20285381376743317,
0.6946378350257874,
-0.8921157121658325,
0.2504569292068... |
Given the task definition and input, reply with output. In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
无锡市滨湖区人民检察院指控称：2013年2月至8月间，被告人王某与陈某（已判刑）明知本市滨湖区南泉地区太湖贡湖水域系禁渔期，仍先后40余次驾驶渔船在上述水域，采用电击方法非法捕捞太湖河虾、白虾共计约250千克，采用渔网捕捞太湖螺蛳共计约12000千克，销赃得款共计人民币16000余元，赃款由二人平分。此外，被告人王某伙同陈某于2013年1月及2013年9月至11月3日间，先后约26次，驾驶上述渔船至上述水域，采用上述手法，非法捕捞太湖河虾、白虾共计约140余千克，销赃得款人民币6000余元，赃款由二人平分。2013年11月26日晚，被告人王某雇佣张某（另案处理）驾驶上述渔船至上述水域，采用上述手法，非法捕捞太湖河虾、白虾时被渔政部门查获，并被当场缴获太湖白虾1.54千克、大河虾3.23千克、小河虾1.37千克，价值人民币547元。归案后，被告人王某如实供述了上述事实。公诉机关认为：被告人王某违反保护水产资源法规，多次结伙，或在禁渔期使用禁用的工具、方法捕捞水产品，或在禁渔期捕捞水产品，或使用禁用的工具、方法捕捞水产品，情节严重，其行为触犯了《中华人民共和国刑法》××、××××的规定，犯罪事实清楚，证据确实、充分，应当以××罪追究其刑事责任。被告人王某归案后能如实供述自己的罪行，根据《中华人民共和国刑法》××××的规定，可以从轻处罚。
| 王某 | 5 | NIv2 | task1666_cail2018_answer_generation | zs_opt | [
0.08430500328540802,
-0.14967790246009827,
-0.7477566003799438,
-0.25645869970321655,
0.17277075350284576,
0.651668131351471,
-0.42289549112319946,
1.1942768096923828,
-0.767454981803894,
0.3872275650501251,
-0.08238660544157028,
0.4808376133441925,
-0.3685634732246399,
-0.4277271926403045... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example input: Mas o que são direitos humanos?
Example output: ولكن ماهي حقوق الإنسان ؟
Example explanation: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
Q: Uma das questões já resolvidas por eles é a existência de uma enorme quantidade de inquilinos.
A: | لكن هناك شيئا واحدا قد قامو بمعالجته انه هناك العديد من المستاجرين. | 3 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.14559945464134216,
0.6110579967498779,
-0.07708209753036499,
-0.5039339065551758,
-0.6493690013885498,
-0.2750662565231323,
0.9005804061889648,
0.2639349400997162,
0.17619657516479492,
-0.045410431921482086,
-0.9622714519500732,
-0.19932833313941956,
-0.9849051237106323,
0.0557260587811... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: And of course, eventually things settled down.
Output: | E, claro, as coisas acabaram por correr bem. | 2 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.34349551796913147,
1.048090934753418,
-0.4389810562133789,
-0.0314083993434906,
-0.161818727850914,
-0.8387558460235596,
-0.7356439232826233,
0.7414846420288086,
0.4281798303127289,
0.13425137102603912,
0.12423065304756165,
0.5003327131271362,
-0.5258694291114807,
0.39489561319351196,
... |
Q: 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".
He learns fast. "
A: | Present | 7 | NIv2 | task429_senteval_tense | zs_opt | [
-0.665725827217102,
1.0000566244125366,
0.49794918298721313,
-0.4139203429222107,
-0.12273131310939789,
-0.24015629291534424,
0.9537087082862854,
1.0460033416748047,
0.19396719336509705,
0.10323743522167206,
-0.7540207505226135,
-0.11599339544773102,
-0.7005916833877563,
0.3411082029342651... |
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 Polish. Your job is to translate the Polish sentence into Hebrew.
życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli czujesz się bezsilna pomóż komuś Nikt naprawdę nie wie jak daleko pójdą by dalej żyć Nikt naprawdę nie wie jak daleko pójdą
Solution: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫ ♫ כדי להשאר בחיים ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫
Why? The Polish sentence is correctly translated into Hebrew, because the meaning is preserved.
New input: A kiedy te zwierzęta pływają i przekazują nam informacje, jest to ważne w kwestiach klimatu. Sądzimy, że niezwykle ważne jest upowszechnianie tych informacji, pokazanie społeczeństwu tego rodzaju danych.
Solution: | ואז, כשהחיות הללו שוחות ונותנות לנו את המידע זה עוזר לנו עם בעיות האקלים, בנוסף אנחנו חושבים שזה קריטי להביא מידע זה לציבור, ולמשוך את הציבור עם מידע מסוג זה. | 0 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.4185403883457184,
0.448122501373291,
-0.4907953441143036,
-0.01875429041683674,
-0.12644022703170776,
-1.1025121212005615,
1.3334288597106934,
0.34811049699783325,
0.2707221210002899,
-0.21620608866214752,
-0.5983767509460449,
0.24562165141105652,
-1.0369709730148315,
0.2400683164596557... |
Teacher:Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Teacher: Now, understand the problem? Solve this instance: Premise: Tiffany left her house to go for a walk at night.
Initial Context: While walking, a car began to slowly follow her.
Original Ending: She ignored it, but the car came back and did it again. This time, Tiffany ran away and called the police. The police arrived later and Tiffany went home.
Counterfactual Context: She went with her husband for safety.
Student: | They ignored a car that followed them, but it came back again. This time, they ran away and called the police. The police arrived later and Tiffany and her husband went home. | 6 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.29866036772727966,
-0.12288869917392731,
0.05948883295059204,
0.44348257780075073,
0.217888742685318,
-0.6528491973876953,
-0.059007711708545685,
1.0993967056274414,
-0.34979167580604553,
0.09530530869960785,
-0.7467169761657715,
0.19957256317138672,
-0.34528958797454834,
-0.060441434383... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Input: Consider Input: #1 return fourth-grade classrooms
#2 return students of #1
#3 return number of #2 for each #1
Output: Report the total number of students for each fourth-grade classroom.
Input: Consider Input: #1 return coffee mugs
#2 return handles
#3 return #1 with #2
#4 return number of #3
#5 return if #4 is at least two
Output: If there are no less than two coffee mugs with handles
Input: Consider Input: #1 return flights
#2 return #1 from philadelphia
#3 return #2 to boston
#4 return #3 that is last
| Output: show last flight from philadelphia to boston
| 2 | NIv2 | task184_break_generate_question | fs_opt | [
0.986639678478241,
-0.13921377062797546,
-0.7476146221160889,
0.5810848474502563,
0.5539517402648926,
-0.5208439230918884,
0.9885412454605103,
0.32024121284484863,
-0.5571478605270386,
0.5083946585655212,
-0.018001791089773178,
0.3393551707267761,
0.2073589712381363,
0.13305515050888062,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
हंलांकि उनके दल के सब लोग एसा ही नहीं सोचते थे पर अंत में सर्वसम्मति से भगत सिंह तथा बटुकेश्वर दत्त का नाम चुना गया ।
| Though not every one in his group agreed with him but the names of Bhagat Singh and Battukeshwar Dutt were unanimously decided. | 5 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.6858164668083191,
0.19049757719039917,
0.3241308629512787,
-0.10930339992046356,
-0.2655215859413147,
-0.5624668002128601,
1.0177459716796875,
-0.045686863362789154,
0.23735472559928894,
-0.2931126356124878,
-0.887756884098053,
0.3738310933113098,
-0.2487523853778839,
-0.038924485445022... |
The input is a conversation between an automated system and a user, followed by a question. The user is looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggested by the system such as phone number, address, etc. The answer of the question has to be a Yes or a No. Given such a dialogue, answer the given question based on the information present in the dialogue.
Example Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'sil'
System: 'What kind of venue are you looking for? For example, a cafe, or a restaurant.'
User: 'a cheap restaurant in the fenditton area'
System: 'The Milton Park English and Thai Restaurant, which is in the Fen Ditton part of town, is a great restaurant. It's in the cheap price range.'
User: 'whats the address'
System: 'The Milton Park English and Thai Restaurant is located on Milton Park Golf Course, Ely Road, Milton.'
User: 'whats the phone number'
System: 'The phone number of the Milton Park English and Thai Restaurant is 01223864602.'
User: 'whats the postal code'
System: 'The Milton Park English and Thai Restaurant is in the area with the postcode CB24 6DD.'
User: 'thank you goodbye'
Question: 'Did the user mention any cuisine preferences?'
Example Output: No
Example Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'im looking for a moderatly priced restaurant in the barnwell area'
System: 'The Wheatsheaf, which is in the Barnwell part of town, is an outstanding restaurant. It's in the moderate price range.'
User: 'i need the address and the price'
System: 'The Wheatsheaf is located on Stow Road, Stow-Cum-Quy. The price for main courses ranges from 4 pounds to 13 pounds and the price for a cheapest pint of beer is 2 pounds 65.'
User: 'breathing sil'
System: 'The Wheatsheaf is a great restaurant.'
User: 'can i get the address and the price'
System: 'The Wheatsheaf is on Stow Road, Stow-Cum-Quy. The price for main courses ranges from 4 pounds to 13 pounds and the price for a cheapest pint of beer is 2 pounds 65.'
User: 'breathing sil'
System: 'The Wheatsheaf is a great restaurant, it's in the Barnwell part of town and it's in the moderate price range.'
User: 'breathing sil'
System: 'The Wheatsheaf is a great restaurant.'
User: 'i need the address'
System: 'The Wheatsheaf is located on Stow Road, Stow-Cum-Quy.'
User: 'whats the price'
System: 'The Wheatsheaf is a great venue. The price for main courses ranges from 4 pounds to 13 pounds and the price for a cheapest pint of beer is 2 pounds 65.'
User: 'thank you good bye'
Question: 'Did the user mention any cuisine preferences?'
Example Output: No
Example Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'im looking for a moderately priced restaurant and it should be in the new chesterton area'
System: 'Hakka, which is in the New Chesterton part of town, is a great restaurant. It's in the moderate price range.'
User: 'can i get the phone number'
System: 'The phone number of Hakka is 01223568988.'
User: 'and what is the postcode'
System: 'Hakka is in the area with the postcode CB4 1JY.'
User: 'thank you good bye'
Question: 'Did the user ask whether children are allowed or not?'
Example Output: | No
| 3 | NIv2 | task1501_dstc3_answer_generation | fs_opt | [
1.0514198541641235,
0.08317530900239944,
-0.09930295497179031,
-0.04190976172685623,
0.3296421468257904,
-0.946846604347229,
0.5969911813735962,
0.7366670370101929,
-0.252255380153656,
0.06853325664997101,
0.3923053741455078,
0.07036517560482025,
-0.017110928893089294,
0.03833853453397751,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Solution: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Why? The Arabic sentence is correctly translated into Italian, because the meaning is preserved.
New input: هذه مقارنة بين صلابة نسيج خيط الجذب في 21 فصيلة من العناكب
Solution: | Questa è la comparazione di robustezza del filo di sicurezza di 21 specie di ragni. | 0 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.3684004545211792,
0.22808846831321716,
-0.15816658735275269,
-0.8148963451385498,
-0.4494973421096802,
-0.37706953287124634,
0.8456116318702698,
0.5451651811599731,
0.045071523636579514,
-0.23771271109580994,
-0.1207074299454689,
-0.08230181783437729,
-0.7466716766357422,
0.303591579198... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
[Q]: وبالفعل إنقراض شامل يحصل في حقولنا وفي نظامنا الزراعي
[A]: به این معنا که یک انقراض عظیم در در زمین های ما ، و سیستم کشاورزی مان در راه است.
[Q]: لذا فهو قدوتنا. لعالم سلمي.. هو واحد من الرموز التي مازالت على قيد الحياة.
[A]: پس این الگوی ما برای عدم خشونت در دنیاست - پس این الگوی ما برای عدم خشونت در دنیاست - یکی از الگوهای زنده ی ماست.
[Q]: ويبدو انه يتم قطع قناته الدافقة لان النقانق التي بيده قد أُكل منها.. وهو يبدو سعيدٌ جداً
[A]: | هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود. هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود.
| 5 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.33952784538269043,
0.5660309791564941,
-0.13627158105373383,
-0.4188133478164673,
-0.4770435690879822,
-0.8396682739257812,
0.7617290019989014,
0.2554374933242798,
-0.1699090600013733,
0.3356305956840515,
-1.2167987823486328,
-0.13573582470417023,
-0.8904457092285156,
0.1743630468845367... |
Definition: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: What is the top level of schooling that is affected by the Gates Foundation's reforms?, Context: The K-12 and higher education reform programs of the Gates Foundation have been criticized by some education professionals, parents, and researchers because they have driven the conversation on education reform to such an extent that they may marginalize researchers who do not support Gates' predetermined policy preferences. Several Gates-backed policies such as small schools, charter schools, and increasing class sizes have been expensive and disruptive, but some studies indicate they have not improved educational outcomes and may have caused harm. Peer reviewed scientific studies at Stanford find that Charter Schools do not systematically improve student performance
Output: | higher education | 2 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.06906691938638687,
0.16992780566215515,
0.07517959922552109,
-0.7071013450622559,
-0.20500141382217407,
-0.2979147136211395,
0.554094672203064,
1.2580561637878418,
0.3736332058906555,
0.3161347508430481,
0.10769259929656982,
0.17280001938343048,
-0.9044816493988037,
-0.02291893586516380... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
しかしガンが驚くべき進化の適応を果たしたのがタスマニアデビルの事例だったのです
Output: | Y es aquí donde el cáncer del demonio de Tasmania ha adquirido una adaptación evolutiva absolutamente sorprendente. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.38085466623306274,
0.47891509532928467,
-0.08589047938585281,
-0.3895895481109619,
-0.41448795795440674,
-0.5213041305541992,
0.35360187292099,
0.8493085503578186,
0.31409889459609985,
-0.09213844686746597,
-0.41073429584503174,
-0.028088191524147987,
-0.7419939041137695,
0.638366401195... |
instruction:
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underhandedly offensive. Warning: the examples and instances may contain offensive language.
question:
you know what. Prison Break would've ended satisfactorily and wouldn't need a 5th season if they didn't make the fucking stupid movie
answer:
No
question:
RT @olmelonhead: bitches be acting different! 😂 buuut it's cool! 💁
answer:
Yes
question:
My niggah
answer:
| No
| 9 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.2426227331161499,
0.21559813618659973,
0.6510533094406128,
0.49253347516059875,
0.46310192346572876,
-0.3713752031326294,
0.2287243753671646,
0.5976855754852295,
0.4911579489707947,
0.23159530758857727,
-0.07673114538192749,
-0.5259435176849365,
-0.8971658945083618,
-0.19565518200397491... |
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