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 |
|---|---|---|---|---|---|---|
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.
--------
Question: Context : Created by Edgar Rice Burroughs, Tarzan first appeared in the novel Tarzan of the Apes (magazine publication 1912, book publication 1914), and subsequently in twenty-five sequels, several authorized books by other authors, and innumerable works in other media, both authorized and unauthorized.
Question : What is Tarzan's spouse's name?
Answer: spouse
Question: Context : Henry Taube died in his home in Palo Alto, California on November 16, 2005, at the age of 89.
Question : Which award was honoured to Henry Taube?
Answer: award received
Question: Context : The 2015 Singapore Grand Prix (formally known as the 2015 Formula 1 Singapore Airlines Singapore Grand Prix) was a Formula One motor race held on 20 September 2015 at the Marina Bay Street Circuit in Marina Bay, Singapore.
Question : When did 2015 Singapore Grand Prix occur?
Answer: | point in time
| 7 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.26792842149734497,
-0.456981897354126,
0.5280002951622009,
0.4464700222015381,
0.8727544546127319,
-0.13388961553573608,
-0.6425632238388062,
0.5539988875389099,
-0.33404961228370667,
0.18102049827575684,
-0.5203413367271423,
0.45177990198135376,
-0.4270721673965454,
0.042832151055336,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Okazuje się, że niższe zarobki i niedocenianie ma swoje zalety — przynajmniej dla społeczeństwa.
Output: | Quindi salta fuori che essere pagate meno e lodate meno ha i suoi vantaggi — almeno per la società. | 1 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.4900168478488922,
1.1081526279449463,
0.27181029319763184,
0.08007507771253586,
0.15768727660179138,
0.16233330965042114,
0.7572850584983826,
1.0050063133239746,
0.08161310851573944,
0.011797461658716202,
-0.7944083213806152,
-0.027687542140483856,
-0.19546456634998322,
0.08397096395492... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
PROBLEM: Ero terrorizzato. Tutti eravamo terrorizzati.
SOLUTION: Wszyscy się baliśmy.
PROBLEM: Fateli cucinare. Grande pranzo oggi, fategli fare esperimenti culinari.
SOLUTION: Pozwólcie im gotować, zaangażować się w kuchni.
PROBLEM: Dobbiamo pubblicare tutti gli esperimenti sugli esseri umani, compresi gli esperimenti più vecchi, per tutti i farmaci attualmente in uso, e dovete dire a tutti che sapete che questo è un problema che non è stato risolto.
SOLUTION: | Trzeba opublikować wszystkie badania na ludziach, dotyczące używanych obecnie leków. Niech wszyscy wiedzą, że to problem, który należy naprawić.
| 8 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.07586610317230225,
0.764581561088562,
-0.1891404241323471,
-0.050691623240709305,
-0.5009928345680237,
-0.5233712196350098,
1.336735725402832,
-0.09302295744419098,
-0.3006432354450226,
-0.11053600907325745,
-0.5282683372497559,
0.45976316928863525,
-0.38202518224716187,
0.3995302915573... |
Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Input: 2, 21, ['F', '6899', 'D', '4183', '5481', '4611', '6263', '1771', '3009', '89', 'K', 'q', '2963', 'y', '7893', '5009', '3109', 'u', '1933', '4635', '6643', 'C']
Output: | 6899D41835481461162631771300989Kq2963y789350093109u193346356643 | 3 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.2256450057029724,
0.45793992280960083,
-0.3615584373474121,
-1.1384587287902832,
-0.16925710439682007,
-0.14228887856006622,
0.19978946447372437,
-0.48373955488204956,
-0.27653369307518005,
0.18768122792243958,
-1.22685706615448,
0.4933217763900757,
0.045287251472473145,
-0.446188926696... |
Part 1. Definition
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sentence contains motion if it (i) involves the movement of a physical object. (ii) contains verb in present tense indicating the action performed. Sometimes there can be verb which indicates a motion but the motion might have happened in the past and the answers to such sentences is 'No'
Part 2. Example
The man then paints a side table black with lights shining off of the black painted wood.
Answer: Yes
Explanation: Here the man is in motion as he is painting a side table black table.
Part 3. Exercise
A God walks a poodle.
Answer: | Yes | 7 | NIv2 | task1517_limit_classfication | fs_opt | [
-0.49988436698913574,
0.12816528975963593,
0.3469710350036621,
0.9069890975952148,
-0.160019189119339,
-0.14030161499977112,
0.2531954050064087,
1.0122729539871216,
0.18285459280014038,
0.03954296559095383,
-0.0453043058514595,
-0.3793548345565796,
-0.32460975646972656,
0.10378073900938034... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Ex Input:
[[44, -44, 47, 13, 37], [34, -4], [12, 3, 4, -41], [37, -16, 23, -46, 37], [-12, -36], [4, -35, 25], [15, 44, -48, -44, -33], [3, -31, -43, 20, 10], [-3, 33, -43], [-1, 8], [-6, 16, -14, 4, 10], [-21, 23], [18, -19, -15, 23, 41]]
Ex Output:
[-1936, -136, 48, 736, 432, 4, 92928, 200, 0, 8, 53760, 0, 18]
Ex Input:
[[39, 18], [48, -12, -42], [44, -22, -8, -12], [-16, 21, -43], [13, 4], [-18, 43, 10, 40], [6, -33, 37, 39], [15, 4, -46, -30, -27], [13, -10, -8, 31], [36, -33, -47, 39, -18], [18, 31, -30, 24, -24], [-13, -34, 4, -16], [-15, -30, -36, 2], [-27, -32, -40]]
Ex Output:
[18, 24192, -92928, -16, 4, -7200, 6, 5520, 80, -648, 311040, 2176, 2160, 1280]
Ex Input:
[[17, 44, -4, 3], [40, 24, 45], [-15, 42, 23, -49], [33, -42, 3, -40, -23], [-28, 45], [5, 12, 47, -20, 3], [9, -23, -32]]
Ex Output:
| [-176, 960, 42, 1680, -28, -240, -32]
| 1 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.12524324655532837,
0.042542509734630585,
-1.1700711250305176,
-0.1148461103439331,
-0.19227422773838043,
-0.43388885259628296,
0.9196193814277649,
0.701453447341919,
-0.4235786199569702,
-0.21933238208293915,
-1.037386178970337,
0.3930739462375641,
-0.535372257232666,
-0.4692833721637726... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
Q: M: Now open your mouth wider. ,F: Ah. ,M: Oh, good girl. Well, I can see what's happening. There was a hole in your tooth.
(A) F: I'll see the dentist later. (B) F: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that? (C) F: I don't want to open the mouth, policeman. (D) F: I don't want to buy this dress.
A: | B | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.11729173362255096,
0.2747628092765808,
0.17766819894313812,
-0.9860330820083618,
0.25245875120162964,
0.16711723804473877,
0.03691116347908974,
0.7456867694854736,
0.517791748046875,
0.05048337206244469,
-0.4636140763759613,
-0.29619506001472473,
0.17146869003772736,
-0.2956424355506897... |
Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Input: Event:PersonX buys PersonX's groceries. Intent: 1) to make a food correctly 2) to be attentive. XEmotion: 1) pleasant 2) pleased
Output: | taken care of | 3 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.1773647964000702,
0.05429849028587341,
0.10600676387548447,
-0.06925525516271591,
-0.5574234127998352,
-0.5789002180099487,
0.8397030830383301,
0.4503260552883148,
0.1859206259250641,
-0.4518808126449585,
0.31390222907066345,
-0.11517773568630219,
-0.5687218904495239,
-0.0310509596019983... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Q: Despois diso, o efecto da evolución disípase por completo.
A: それから先は、進化の効果は全くなくなってしまう
****
Q: Máis publicidade para os animais do océano, Vibrio fischeri vive dentro desta lura.
A: ビブリオ・フィシェリは、海の蛍光灯であるこのイカの中に住んでいます
****
Q: Nós non consumimos vacas e galiñas de 200 anos.
A: | 陸上では200歳の牛や鶏を食べたりしません
****
| 4 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.4503109455108643,
0.4449153542518616,
-0.07116413116455078,
-0.41607189178466797,
-0.7164597511291504,
-0.9185572862625122,
0.5239884853363037,
0.07693354040384293,
-0.5683586597442627,
-0.7353454828262329,
0.12634672224521637,
-0.23694074153900146,
-1.0960583686828613,
0.58715343475341... |
Detailed Instructions: 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.
Problem:News Headline: Trump ’s Muslim ban is no surprise : Our new president ’s agenda is fueled by white {nationalism}
Edit: bread
Solution: | Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.3906403183937073,
0.6113491058349609,
0.6026696562767029,
-0.12514367699623108,
-0.6339963674545288,
-0.11496830731630325,
-0.34401077032089233,
1.0788750648498535,
0.20266743004322052,
0.050273600965738297,
-0.9186902642250061,
-0.6255407929420471,
-0.48559674620628357,
0.04045340046286... |
Given the task definition, example input & output, solve the new input case.
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the right answer from the options given a) five b) zero c) seven d) ten
Output: d
Snakes give birth to minimum ten young ones so ten is a correct answer.
New input case for you: Gene symbols consist of ____ lowercase letters.\Question: Choose the right answer from options given a) two b) nine c) three d) no
Output: | c | 1 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.9965237975120544,
0.552624523639679,
-0.5587918758392334,
-0.22333621978759766,
-0.040794797241687775,
0.053584806621074677,
0.5279574394226074,
1.3419826030731201,
-0.022429194301366806,
0.08497004210948944,
-0.011122380383312702,
0.26314109563827515,
-0.29832738637924194,
0.1370305716... |
Teacher:In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
Teacher: Now, understand the problem? Solve this instance: Process: -When water freezes it becomes 10% bigger, or takes up 10% more space -As water expands it puts great pressure on the walls of anything containing it, including any rocks which happen to be surrounding it -The force of the pressure exerted on the rock surrounding it is enough to wedge the walls of the crack farther apart, thus expanding and deepening the crack -Clay expends when wet like ice does -This causes rock to break apart -Some plants like mosses and lichens are capable of growing without soil on bare rock -When they do this their roots penetrate pores and crevices and cause rocks to split apart as the roots force their way down through the rocks -
Question: What is the effect of the climate has changed radically on more or faster erosion of rocks.?
Student: | against | 6 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.35872727632522583,
1.1413661241531372,
-0.93724125623703,
-0.17053842544555664,
-0.4698290228843689,
-1.221295952796936,
0.21911025047302246,
0.823733925819397,
0.3950209617614746,
-0.2779489755630493,
0.4834181070327759,
0.14288052916526794,
-1.107516884803772,
-0.004657742567360401,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
Let me give you an example: Jess Mastriani: No, I don't want another crooler, thank you very much.
FBI Agent Nicole Scott: But it's good for you. It's got... honeyglaze. Please die for this crooler, Jess.
Jess Mastriani: I've had _ two _ already. Who eats three croolers in a night?
FBI Agent Nicole Scott: Take a look. [Nicole takes a huge bite] Mmmmm, Mmmmm, Mmmmm!
The answer to this example can be: REFERENCE crooler
Here is why: In this example, the number two refers to something that appears in this text. In this example, it refers to the word: crooler.
OK. solve this:
Mary Morgan: The Navy 's losing a good man , and I 'm getting _ one _ back .
Answer: | REFERENCE man | 8 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.15591153502464294,
0.3145921230316162,
-0.8546634316444397,
0.08155454695224762,
-0.2831674814224243,
-0.2611965537071228,
1.422011375427246,
0.592032253742218,
0.011131374165415764,
0.008079759776592255,
-0.3395032286643982,
0.012309553101658821,
-0.3372385501861572,
0.0791542530059814... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example: Pero comenzamos con la idea de un niño por vez.
Example solution: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Example explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is preserved.
Problem: Creo que con ProtonMail, casi lo hemos logrado.
| Solution: אני חושב שעם פרוטונמייל, הגענו מאוד קרוב לעשות את זה. | 5 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7281826734542847,
0.34694403409957886,
0.5385993719100952,
-0.4863068461418152,
-0.251587837934494,
0.12069842964410782,
1.0639746189117432,
0.42337939143180847,
0.6735142469406128,
-0.41713935136795044,
-0.23962242901325226,
0.34828266501426697,
-1.1620025634765625,
0.20883049070835114... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
--------
Question: To scenarzysta patrzący na scenariusz filmu, który nie został zaaprobowany przez ponad pół wieku.
Answer: É um argumentista que olha para o guião de um filme que não consegue ter luz verde há mais de meio século.
Question: U 50% osób objawy pojawiają się przed 14 rokiem życia, u 75% przed ukończeniem 24, co odbiega od obserwacji w przypadkach raka lub chorób układu krążenia, cukrzycy, nadciśnienia, większości poważnych chorób, uważanych za przyczyny umieralności.
Answer: Cinquenta por cento terão início aos 14 anos, 75 por cento aos 24, uma imagem muito diferente da que veríamos se estivéssemos a falar de cancro ou de doença cardíaca, diabetes, hipertensão — a maioria das grandes doenças que vemos como fontes de morbilidade e mortalidade.
Question: (Śmiech) OK.
Answer: | (Risos) Ok.
| 7 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.47378602623939514,
0.8725122213363647,
-0.2259911149740219,
-0.4206524193286896,
-0.3579323887825012,
-0.12152707576751709,
0.4529135227203369,
0.7260665893554688,
0.42894113063812256,
-0.24340501427650452,
-0.1584060788154602,
0.45543771982192993,
-0.7455399632453918,
0.843832969665527... |
Detailed Instructions: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list.
Q: [69, 1738, 3278, 1590, 6, 33, 2]
A: | [64, 2048, 4096, 2048, 8, 32, 2] | 9 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.5450388193130493,
1.5608747005462646,
0.14648506045341492,
-0.43474316596984863,
-0.3219839930534363,
0.24403893947601318,
0.3808249235153198,
-0.18389780819416046,
-0.07574847340583801,
0.2614309787750244,
-0.28502732515335083,
0.8159414529800415,
-0.12825028598308563,
0.11368520557880... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX gives birth to a daughter<sep>Tail: look at baby daughter
Output: | Yes | 3 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.22342124581336975,
0.5275583267211914,
0.10321156680583954,
-0.37715500593185425,
-0.6826565265655518,
-0.4722200632095337,
1.233440637588501,
0.3602171540260315,
-0.20203763246536255,
-0.6098895072937012,
-0.23855546116828918,
-0.4610053300857544,
-0.6684509515762329,
0.4392182528972626... |
Given the task definition, example input & output, solve the new input case.
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if looking for which can take one of four values: Cheap, Moderate, Expensive and Don't Care. Output cannot be any other value than the four values. Note that if the user asks for the prices of items provided at a pub, restaurant or coffee shop but doesn't mention the price range they are looking for then the correct classification will be Don't Care. If the user does not mention a particular price, the correct classification will be Don't Care.
Example: 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 coffee shop'
System: 'Are you looking for somewhere near a particular venue? For example, Cambridge Contemporary Art, Great Saint Mary's Church, or Primavera.'
User: 'no im not'
System: 'Cafe Eleven, which is in the moderate price range, is an outstanding cafe.'
User: 'can i get the phone number and the postcode'
System: 'The phone number of Cafe Eleven is 01223369157. It's in the area with the postcode CB1 1DG.'
User: 'thank you goodbye'
Output: Moderate
The user mentions that they are looking for a moderately priced coffee shop.
New input case for you: 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: 'restaurant'
System: 'Are you looking for somewhere near a particular venue? For example, the Museum of Classical Archaeology, Sidney Sussex College, or Primavera.'
User: 'barnwell area'
System: 'What part of town do you have in mind? For example, something in the Addenbrooke's, Cherry Hinton, or central area.'
User: 'barnwell'
System: 'The Wheatsheaf, which is in the Barnwell part of town, is an outstanding restaurant.'
User: 'whats the price'
System: 'The Wheatsheaf is an outstanding 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: 'moder moderate price'
System: 'The Wheatsheaf, which is in the Barnwell part of town, is an outstanding restaurant. It's in the moderate price range.'
User: 'what is the type of food'
System: 'The Wheatsheaf serves traditional food.'
User: 'and whats the address'
System: 'The Wheatsheaf is on Stow Road, Stow-Cum-Quy.'
User: 'address'
System: 'The Wheatsheaf is located on Stow Road, Stow-Cum-Quy.'
User: 'thank you goodbye'
Output: | Moderate | 1 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.5541234612464905,
0.3630918860435486,
-0.3315523862838745,
-0.09953860193490982,
0.4086702764034271,
-0.3460829257965088,
0.22808989882469177,
0.8003720641136169,
-0.07501742243766785,
0.030759818851947784,
0.47857239842414856,
0.12142221629619598,
-0.022009313106536865,
-0.2083474993705... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: The only evidence of any racial slurs came when Jeantel took the stand and testified that while she was on the phone with Trayvon, Trayvon called George a "creepy ass cracka," and later a "nigga ".
The naanị ihe àmà nke ọ bụla agbụrụ slurs bịara mgbe Jeantel were guzoro na akaebe na mgbe ọ bụ na ekwentị Trayvon, Trayvon akpọ George a "Creepy ass mgbape," na mgbe e mesịrị a "nigga".
English sentence: For that, I am extremely grateful.
N'ihi na, m nke ukwuu ekele.
English sentence: On the other hand, if watching Cesar Millan, the famous Dog Whisperer has taught me anything, it is that owners often do not understand their dog's language and their world as much as they hope to.
| N'akụkụ aka nke ọzọ, ma ọ bụrụ na-ekiri Cesar Millan, ama Dog Whisperer kụziiri m ihe ọ bụla, ọ bụ ya na ndị nwe na-adịghị aghọta ha nkịta asụsụ na ụwa ha dị ka ihe dị ka ha na-atụ anya.
| 0 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.668569803237915,
0.33597326278686523,
0.33979302644729614,
-0.33784887194633484,
-0.015981052070856094,
-1.1330115795135498,
-0.12441436201334,
0.30209988355636597,
0.04723983258008957,
-0.216512531042099,
-0.002547086216509342,
0.27353233098983765,
-0.7121993899345398,
-0.3384200930595... |
In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
--------
Question: Este artículo describe una propuesta de implementación de una red espacial representada en el SGBD PostgreSQL, específicamente en la extensión PostGIS. El artículo solo presenta información de modelado y diseño, pero no de implementación. A consecuencia de ello, no se presentan resultados experimentales. El artículo tiene aceptable redacción en general. Sin embargo, es un trabajo del cual todavía no se obtienen resultados que permitan evaluar su aporte.
Answer: es
Question: Este es un trabajo que muestra la experiencia de incorporación de un robot para realizar soldaduras en una empresa de Antofagasta. La incorporación de tecnología es importante en la Empresa y me parece importante que las empresas confíen en las Universidades para hacerlo. Es un tema importante de revisar en las jornadas. Revisar aspectos de formato (redacción en tercera persona, ortografía, algunas imágenes no son claras, contiene 7 páginas y sólo eran consideradas 6 o 10) No queda clara si la Empresa utiliza robot y soldadores o sólo robots. No hay una evaluación de los beneficios en cuanto a dinero percibidos por la utilización del robot.
Answer: es
Question: El trabajo presenta una encuesta a dos mineras sobre la etapa de arquitectura del proceso de outsourcing de TI. El trabajo es exploratorio y por lo tanto su contribución es reducida ya que aún no se presentan resultados. Creo que en este estado es inadecuado para la conferencia donde se espera la presentación de resultados y contribuciones a la investigación. El documento debe ser mejorado en cuanto a su redacción.
Answer: | es
| 7 | NIv2 | task265_paper_reviews_language_identification | fs_opt | [
-0.1016022264957428,
0.34239423274993896,
0.33073121309280396,
-0.2653168737888336,
0.5122790336608887,
-0.539262592792511,
1.2956349849700928,
0.5710402727127075,
0.528587281703949,
0.3093213438987732,
0.0670902281999588,
0.7167955040931702,
0.27496910095214844,
0.11985911428928375,
-0.... |
Teacher:Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Teacher: Now, understand the problem? Solve this instance: Personality: I like watching british tv shows and movies.
I've one grandson and one daughter.
I love animals.
I'm a retired computer programmer.
I just turned 77.
Chat history: -Hello! How are you?
-I am fine I work as R and D for Del Taco.
-What is an r and D? I like animals so I don't eat meat!
-Research and development but I fell up in a stairs.
-How did you do that? I'm 77 and I still have not fallen!
-Really? I think because I'm a designer of a potato fries.
-Wow! Very interesting. My grandson and granddaughter love fries!
-If you went they can come here.
-What types of fries do you make?
-Potato and sweet potato is my specialty.
Student: | Wow I would love to have some of those when watching my british tv shows! | 6 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.34248071908950806,
0.3464323580265045,
-0.07500515133142471,
-0.5587610006332397,
-0.4179592430591583,
0.5842537879943848,
1.173404335975647,
0.10828828811645508,
0.41170382499694824,
-0.22097817063331604,
0.16527009010314941,
0.05327296257019043,
-0.4183255434036255,
0.3565803766250610... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
[Q]: Aquí está Ze hablando de Las Vegas: (Video) Ze Frank: Las Vegas fue construido en medio de un enorme desierto.
[A]: Aqui está o Ze a falar sobre Las Vegas: (Vídeo) Ze Frank: Las Vegas foi construída no meio de um deserto enorme.
[Q]: Esto quiere decir, desde luego, que en el pasado, las cosas estaban más cerca.
[A]: O que isso significa, é claro, é que, no passado, as coisas estavam mais perto umas das outras.
[Q]: El perrito se fué a su pensión canina.
[A]: | O cão ia para o canil durante o dia.
| 5 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
0.05078656226396561,
0.5580546855926514,
-0.2954566478729248,
0.02903153747320175,
-0.4391542673110962,
-0.6661831736564636,
-0.10061115026473999,
1.609810471534729,
-0.46888959407806396,
0.14027488231658936,
-0.1794445961713791,
0.2605215907096863,
0.09240391105413437,
-0.1732677817344665... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Sentence 1: Tucker was about to leave one morning.
Sentence 3: To his dismay the coat was suspiciously wet
Sentence 4: He was forced to go into the cold with no warmth
Sentence 5: Luckily his trip was short and he was back inside quickly
Given Sentence 2: First they cleared off the old table in Suze's basement.
Output: | No | 1 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.8336485624313354,
0.33289802074432373,
0.006960678845643997,
0.3633083701133728,
0.33386340737342834,
-0.1635405719280243,
0.28383874893188477,
0.7507758140563965,
-0.35054516792297363,
0.10945955663919449,
-0.3083888292312622,
-0.5605853796005249,
-0.14188644289970398,
-0.2553223669528... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
[EX Q]: I recommend this spot! Food is delicious service is great dinning area is cute & the lounge are is cool! If your in the area stop by, it's next to the Riviera.
[EX A]: POSITIVE
[EX Q]: I lived here for 11 months. I really loved everything about AVANTI, the only bad thing I have to say is how far these apartments are and how much I have spent on gas. Other than that I really enjoyed my stay. Staff was always friendly and very helpful. The pool was always kept clean and the computer room was very useful. I never got to use the gym but from what I seen it was very nice as well! Definitely one of the best apartments I have stayed in!
[EX A]: POSITIVE
[EX Q]: My husband and I have been eating at Red Velvet for almost a year now. Being from California, we miss having healthy and tasty food options and were excited when we found Red Velvet. There are some great dishes that never seem to stay on the menu conistently, but most of the food is mediocre. Still, the best as far as \""healthy\"" goes in Vegas. I never write reviews but I must say I was appalled when the last time I went in to order my red velvet cupcake, I saw them put the plastic container with the cake into the microwave. Plastic #6, the most toxic and extremely dangerous to heat in the microwave. I am 7 months pregnant. Other than being INCREDIBLY carcinogenic, this method of heating food is potentially harmful to developing fetuses. I had been going in 3 x's per week for the last month and a half or so, to satisfy my one pregnancy craving: SWEETS. Also, I had asked prior to make sure they did not heat the cake in plastic and I was told \""no\"". We had also asked the owner what was in the red velvet cake (or at least what was not in the cake), being that certain sweeteners are contraindicated in pregnancy. We were told she could not disclose specific ingredients and the employees told us conflicting things regarding what was not in the cake, so we were already leery. The cake did taste pretty good for being \""low calorie\"" so I am bummed I won't be able to enjoy it anymore. It's a lot of trouble for a cake, yes, but where the problem lies is all of the health claims are obliterated by the toxic and carcinogenic result of microwaving it in dangerous plastic. Also, never returned a smile to good paying customers that frequented her restaurant several times per week. The rest of the staff were always friendly.
[EX A]: | NEGATIVE
| 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
0.333645224571228,
0.2503620386123657,
-0.24535110592842102,
-0.26672089099884033,
-0.0015917267883196473,
-0.17318278551101685,
0.12152568995952606,
1.0118863582611084,
0.11902710795402527,
0.048904769122600555,
0.3025682866573334,
0.058901429176330566,
-0.1111917495727539,
0.185529857873... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Example: Beginning: Butch had a really old computer. Middle 1: Butch decided to order a new computer online. Middle 2: Butch noticed that a storm was approaching to his town. Ending: It arrived and Butch was much happier.
Output: 1
People generally don't feel happy about natural disasters like storms. Therefore, we choose 1 in this case.
New input case for you: Beginning: Like many people, I order photo Christmas cards each year. Middle 1: I have always sent them to my family and friends. Middle 2: My family have always sent me to my friends. Ending: My family and friends now expect a transit Christmas card each year.
Output: | 1 | 1 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.5402228832244873,
0.4282766282558441,
-0.18849948048591614,
0.16421887278556824,
0.3716129660606384,
-0.07210122048854828,
0.28429490327835083,
0.8871966004371643,
-0.03588899224996567,
0.037449538707733154,
-0.10244901478290558,
0.022978181019425392,
0.23372414708137512,
-0.27247425913... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Example input: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte development
Example output: TCF - 1
Example explanation: The gene, TCF - 1 has been tagged as protein since it plays a crucial role in early thymocyte development.
Q: In this study , we utilized this technology to identify HLA DQ - restricted Ag - specific T cells in the peripheral blood of human subjects and to identify immunodominant epitopes associated with viral infection .
A: | HLA DQ | 3 | NIv2 | task1480_gene_extraction_jnlpba_dataset | fs_opt | [
-0.8679412603378296,
0.6119654774665833,
-0.41362592577934265,
-0.3359602093696594,
0.32053011655807495,
-0.596056342124939,
0.3746223747730255,
0.31061166524887085,
0.23872268199920654,
-0.3194507360458374,
-0.2189820259809494,
0.24015748500823975,
-0.6348379850387573,
-0.0813588947057724... |
You will be given a definition of a task first, then some input of the task.
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Niccolo Machiavelli question: in what city did machiavelli live?
Output: | ['Florence'] | 1 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.031682416796684265,
0.29859715700149536,
-0.06568703055381775,
0.4290608763694763,
-0.6118834614753723,
-0.4436148405075073,
1.2156994342803955,
0.31307247281074524,
0.42060452699661255,
0.06856682151556015,
-0.3852773904800415,
0.3829980492591858,
-1.2540068626403809,
0.165908977389335... |
Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
story: Bobby was excited for the weekend. His father had promised to take him to the zoo. Unfortunately it started raining Saturday morning. Bobby's father took him to the zoo anyways. Bobby got to see the baby elephant splash in the rain puddles.
selected sentence: Bobby was excited for the weekend.
| Bobby's father promises to take him to the zoo >Causes/Enables> Bobby is excited | 5 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.02387840300798416,
0.624311089515686,
0.27863988280296326,
-0.17445442080497742,
-0.47400355339050293,
-0.3350376784801483,
0.032470159232616425,
1.2151631116867065,
-0.28457486629486084,
0.0477387011051178,
-0.7479540109634399,
0.07461123168468475,
-0.31531450152397156,
-0.3012899160385... |
You will be given a definition of a task first, then some input of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @Campos_uli is a fag #hesgay
Label: Hate Speech
Output: | true | 1 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.4678550958633423,
0.26323452591896057,
0.8159888982772827,
0.5382356643676758,
-0.27098414301872253,
-1.3596450090408325,
-0.36643242835998535,
0.8195781707763672,
0.08095017820596695,
0.39244544506073,
-0.8133876323699951,
-0.2962808310985565,
-0.23051276803016663,
-0.631503701210022,
... |
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?).
Example input: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients.
Example output: background
Example explanation: The sentence provides the background information regarding how they could control future SARS outbreaks depending on the accuracy of identification of some infected patients having SARS-CoV.
Q: 5,997 confirmed and 9,239 suspected cases of 2019-nCoV have been reported from China with 132 deaths confirmed so far 1.
A: | background | 3 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.024364931508898735,
0.482724130153656,
0.163588285446167,
-0.448408305644989,
0.12585924565792084,
0.4389803409576416,
-0.44611167907714844,
1.1642191410064697,
-0.09791944921016693,
0.7888853549957275,
-0.8635996580123901,
0.18674461543560028,
0.41468510031700134,
0.3843722343444824,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
התחלתי ללמוד את כל הרעיון הזה, של מה זה מחשב? הוא אמצעי מוזר.
Output: | Ho cominciato a studiare questo concetto su cosa sia il computer. È uno strano medium. | 1 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.071889728307724,
0.8351163864135742,
-0.23266847431659698,
0.3971220850944519,
-0.5083590745925903,
0.4109082818031311,
0.6030546426773071,
0.6784666776657104,
1.0527502298355103,
-0.3422241806983948,
-0.6207276582717896,
0.12661847472190857,
-0.16021548211574554,
0.32199835777282715,
... |
In this task you are given a premise and two alternatives in Vietnamese. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Example input: Các mặt hàng đã được đóng gói trong bọc bong bóng.
(1)Nó dễ vỡ.(2)Nó nhỏ.
Example output: 1
Example explanation: The first alternative makes more sense because you put object is bubble wrap if they are delicate.
Q: Cô gái đưa tiền cho nhân viên thu ngân.
(1)Nhân viên thu ngân thối tiền lẻ cho cô.(2)Nhân viên thu ngân quên đưa cho cô gái một biên lai.
A: | 1 | 3 | NIv2 | task1182_xcopa_commonsense_reasoning_vi | fs_opt | [
-0.4275808334350586,
0.4413864016532898,
-0.07115866243839264,
0.08162496984004974,
-0.4647473692893982,
-0.10681144893169403,
0.4027371406555176,
1.124712586402893,
0.38776829838752747,
0.3598968982696533,
-0.1703101396560669,
-0.1215461790561676,
0.4661964774131775,
-0.027709990739822388... |
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
[Q]: @beenthatkyd so I scrolled back up on the '17 GC because I missed it earlier and man you toooooooooo funny 😂😂😂😂😂 hilarious headassss!!!
[A]: Happy
[Q]: @AmandaHolden Lovely photo Amanda! #summerhols #carefree
[A]: Happy
[Q]: @emmiecollison We will have to be patient 😬if two fux is anything to go by it will be worth the wait. 😊
[A]: | Happy
| 5 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | fs_opt | [
-1.79475998878479,
0.7377692461013794,
0.37349992990493774,
-0.8356807827949524,
-0.1908094435930252,
-1.0738379955291748,
0.4554557800292969,
0.30041664838790894,
0.42638900876045227,
-0.02712382934987545,
-0.5252801179885864,
-0.07063973695039749,
-0.6482186317443848,
0.04639881849288940... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
I made my mother feel irritated. | female | 0 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.46463343501091003,
0.5486856698989868,
-0.5105582475662231,
-0.8603832721710205,
-0.34958335757255554,
-0.4412964880466461,
0.33513200283050537,
0.4267488121986389,
1.0558403730392456,
0.3044371008872986,
-1.0074646472930908,
-0.3675645589828491,
-0.9176833629608154,
-0.5030068159103394... |
Definition: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Review: This was a superb episode, one of the best of both seasons. Down right horror for a change, with a story that is way way above the average MOH episodes, if there is such a thing. A man's wife is almost burned to death in a tragic car wreck, in which he was driving. His airbag worked, her's didn't. She is burned beyond recognition (great makeup btw), and not given much of a chance to live without a full skin graft. BUT, even in a coma, she keeps dying but brought back by modern technology, and when she does die for a few minutes, her ghost appears as a very vengeful spirit. Carnage of course ensues, and also some extremely gory killings, and also, some extremely sexy scenes. What more could you ask for, you might ask? Well, not much, because this baby has it all, and a very satirical ending, that should leave a smile on most viewers faces. I just loved Rob Schmidt's (Wrong Turn) direction too, he has a great knack for horror. Excellent episode, this is one I'm buying for sure. Question: is it a negative review?
Output: | no | 2 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.2949673533439636,
-0.22522667050361633,
0.40709495544433594,
0.16997799277305603,
0.6595653295516968,
-0.8707208633422852,
1.0590283870697021,
0.8969759941101074,
-0.15600018203258514,
-0.012590229511260986,
-0.9029446244239807,
-0.18143461644649506,
-0.08898335695266724,
0.139374718070... |
Teacher:You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Teacher: Now, understand the problem? Solve this instance: Personality: This is my second year in the league.
Last season I was just getting started.
I play quarterback.
I play for the Philadelphia eagles.
Chat history: -Do you like to watch football?
-Hi there, I am Sarah and I do love to watch football.
Candidates 1) Hello. 2) Ha had of course! Big red and yellow spots on my koi! 3) Oh wow! Chinese is the hardest. 4) Awesome! I play in the nfl.
Student: | Awesome! I play in the nfl. | 6 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.1952286660671234,
0.15252560377120972,
-0.41570746898651123,
0.12035563588142395,
0.028748784214258194,
-0.2382865995168686,
0.21300169825553894,
0.36681610345840454,
-0.40749189257621765,
-0.2705357074737549,
0.2569616436958313,
-0.35476791858673096,
-0.09922166168689728,
-0.4720177054... |
TASK DEFINITION: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
PROBLEM: Paragraph: The envelope spike (S) proteins of MERS-CoV and SARS-CoV determine the virus host tropism and entry into host cells, and constitute a promising target for the development of prophylactics and therapeutics. Here, we present high-resolution structures of the trimeric MERS-CoV and SARS-CoV S proteins in its pre-fusion conformation by single particle cryo-electron microscopy. The overall structures resemble that from other coronaviruses including HKU1, MHV and NL63 reported recently, with the exception of the receptor binding domain (RBD). We captured two states of the RBD with receptor binding region either buried (lying state) or exposed (standing state), demonstrating an inherently flexible RBD readily recognized by the receptor. Further sequence conservation analysis of six human-infecting coronaviruses revealed that the fusion peptide, HR1 region and the central helix are potential targets for eliciting broadly neutralizing antibodies.
Title: ARTICLE Cryo-EM structures of MERS-CoV and SARS-CoV spike glycoproteins reveal the dynamic receptor binding domains
SOLUTION: False
PROBLEM: Paragraph: To evaluate the aetiological agents and epidemiologic features of severe fever with thrombocytopenia syndrome (SFTS) in Hubei province, China, sera from patients were collected from January to December 2011. All cases occurred from April to December, and the epidemic peaked from May to August. The ages of patients ranged from 10 to 86 years (median = 55 years), and the incidence of SFTS increased with age. The female:male ratio of cases was 1.008:1, and 54.6% (77/141) and 1.4% (2/141) of the cases were confirmed by qPCR to be SFTSV and Hantavirus (HV) infection, respectively. No case of simultaneous infection with two or more pathogens was found. The research in this paper showed that some suspected SFTS cases are confused with HV infection due to similar symptoms. The analysis showed that the distribution of SFTSV has a marked regional aggregation in Hubei province.
Title: Pathogens and epidemiologic feature of severe fever with thrombocytopenia syndrome in Hubei province, China
SOLUTION: False
PROBLEM: Paragraph: Background: Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions must be discovered. However, current computational methods for predicting virus-receptor interactions are limited. Result: In this study, we propose a new computational method (IILLS) to predict virus-receptor interactions based on Initial Interaction scores method via the neighbors and the Laplacian regularized Least Square algorithm. IILLS integrates the known virus-receptor interactions and amino acid sequences of receptors. The similarity of viruses is calculated by the Gaussian Interaction Profile (GIP) kernel. On the other hand, we also compute the receptor GIP similarity and the receptor sequence similarity. Then the sequence similarity is used as the final similarity of receptors according to the prediction results. The 10-fold cross validation (10CV) and leave one out cross validation (LOOCV) are used to assess the prediction performance of our method. We also compare our method with other three competing methods (BRWH, LapRLS, CMF). The experiment results show that IILLS achieves the AUC values of 0.8675 and 0.9061 with the 10-fold cross validation and leave-one-out cross validation (LOOCV), respectively, which illustrates that IILLS is superior to the competing methods. In addition, the case studies also further indicate that the IILLS method is effective for the virus-receptor interaction prediction.
Title: IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning
SOLUTION: | False
| 8 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.5178327560424805,
0.26250147819519043,
-0.6001125574111938,
0.24150928854942322,
0.7131859064102173,
0.17586761713027954,
0.6739135980606079,
0.6268147230148315,
-0.41622355580329895,
0.4018590748310089,
-0.49513959884643555,
0.643183708190918,
0.12083250284194946,
0.353238046169281,
-... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example input: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Example output: B
Example explanation: Since the blank is someone who received the gift and already had a stuffed animal, the answer must be "Christine".
Q: Fran decided to listen to music instead of watching TV to relax, because the _ made her feel happy. (A) music (B) TV
A: | A | 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.6117979288101196,
0.34665170311927795,
-0.7016990780830383,
-0.20330311357975006,
0.03135261684656143,
-0.7124220132827759,
0.9520915150642395,
0.8205986618995667,
0.035192377865314484,
0.14010444283485413,
0.41480621695518494,
0.1572779417037964,
-0.14949189126491547,
-0.230081602931022... |
Q: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the small-talk strategy, otherwise output No. small-talk is a cooperative negotiation strategy. It is used for discussing topics apart from the negotiation, in an attempt to build a rapport with the opponent. For example, discussing how the opponent is doing during the pandemic or sharing excitement for the camping trip.
Context: 'yeah, horrible way to start the trip but I am sure it will get better. if i can have 2 of the fire wood you could have all three of the extra water' '🙂 Okay, I'll consider that since I do need some more water. How should we split up the food?' 'well if your getting all 3 food and 1 of the fire wood how about i get 2 food and you get one? then it is more or less even'
Utterance: 'Sounds good to me!🙂'
A: | No | 7 | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt | [
-0.6415705680847168,
0.8123786449432373,
-0.3823102116584778,
-0.20033004879951477,
-0.43777695298194885,
-0.506279706954956,
1.2305755615234375,
0.5419426560401917,
-0.22093868255615234,
0.16995081305503845,
0.13383132219314575,
-0.07096265256404877,
-1.0862599611282349,
0.056632049381732... |
TASK DEFINITION: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
PROBLEM: Sentence1: My friend Sharon was nervous yesterday. Sentence2: She found out her company wanted her to retire. Sentence3: Although she has a good pension, she was still nervous. Sentence4: I helped her rewrite her resume, preparing for a job search.
(A) Sharon went out and gambled all her pension money. (B) Sharon is now looking forward to a new chapter in her life.
SOLUTION: B
PROBLEM: Sentence1: Bob had a young puppy. Sentence2: The puppy loved to play catch with Bob. Sentence3: Of course, the puppy grew into a dog. Sentence4: The dog grew old and could no longer play catch.
(A) Bob was very happy about this. (B) This made Bob sad.
SOLUTION: B
PROBLEM: Sentence1: Ted's parents told him to focus on studies and not on games. Sentence2: Ted thought that games were a burgeoning art form, worthy of praise. Sentence3: Ted started to write reviews and articles about different games. Sentence4: The reviews and articles were published in national magazines.
(A) His parents relented. (B) Ted was an orphan.
SOLUTION: | A
| 8 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.03262664005160332,
0.8582432270050049,
-0.7234280705451965,
-0.5918905138969421,
-0.04408847540616989,
-0.40351152420043945,
0.7325602769851685,
1.11532461643219,
0.4486091732978821,
-0.2596137523651123,
-0.294318825006485,
0.10393370687961578,
-0.2344667911529541,
-0.5253553986549377,
... |
Teacher:In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Teacher: Now, understand the problem? Solve this instance: Zero of a function -- If the function maps real numbers to real numbers, its zeros are the x (\displaystyle x) -coordinates of the points where its graph meets the x-axis. An alternative name for such a point ( x , 0 ) (\displaystyle (x,0)) in this context is an x (\displaystyle x) -intercept.
Student: | is the zero of a function the x intercept | 6 | NIv2 | task1660_super_glue_question_generation | zs_opt | [
0.19115808606147766,
-0.019665200263261795,
-0.5538545846939087,
0.027560364454984665,
0.060021787881851196,
0.07792406529188156,
0.5813761949539185,
0.5092270970344543,
0.2864772081375122,
0.060928843915462494,
-0.13497161865234375,
-0.5819074511528015,
-0.08226233720779419,
-0.1754759252... |
Given the task definition, example input & output, solve the new input case.
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer will be short; it will not be more than a few words.
Example: Passage: Després d'una complicada producció, L'Imperi contraataca va ser estrenada el 21 de maig de 1980. Al principi va rebre crítiques mixtes, tot i que des de la seva estrena anà guanyant punts fins a esdevenir la més aclamada de la saga per la crítica i una de les pel·lícules més altament qualificades de tots els temps.[3][4][5][6] La pel·lícula ha recaptat més de 538 milions de dòlars a tot el món entre la seva estrena original i les múltiples reedicions. Si es té en compte l'ajustament degut a la inflació, es tracta de la 12a pel·lícula més taquillera dels Estats Units i Canadà de tots els temps fins a l'any 2012.[7]
Question: Quin dia es va estrenar la pel·lícula?
Output: 21 de maig de 1980
The output, which is the correct answer to the question can be found in the first line of the passage.
New input case for you: Passage: Sabent que els tenia a tots al cim de la muntanya, Nobunaga immediatament va donar instruccions d'incendiar Sakamoto i que posessin a espasa a tots aquells que es trobessin al poble. Això va ser el 29 de setembre d'aquest any, 1571 [...] I per mostrar als bonzos que estaven a la muntanya el poc respecte que tenia per les quimeres [...] i pels càstigs de Sanna, la segona cosa que va fer va ser cremar tots els temples d'aquest ídol que estaven sota als peus de la muntanya: també va destruir set universitats de les quals no va quedar res. Després desplegant el seu exèrcit de 30.000 homes en forma d'anell al voltant de la muntanya, va donar l'ordre d'avançar cap al cim. Els bonzos van començar a resistir amb les seves armes i van ferir com a 150 soldats. Però van ser incapaços de fer front a tan ferotge assalt i van ser tots posats a espasa, juntament amb els seus homes, dones i nens de Sakamoto [...]
Question: Quines instruccions va donar Nobunaga?
Output: | d'incendiar Sakamoto | 1 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.8900960683822632,
0.47793352603912354,
-0.604041576385498,
0.22990593314170837,
0.29678845405578613,
-0.18124474585056305,
0.6758689880371094,
1.2552976608276367,
-0.12229880690574646,
-0.3855966031551361,
-0.37512004375457764,
0.14437368512153625,
-0.42556002736091614,
-0.37954893708229... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: 9×19mm Parabellum -- The 9×19mm Parabellum is a firearms cartridge that was designed by Georg Luger and introduced in 1902 by the German weapons manufacturer Deutsche Waffen und Munitionsfabriken (DWM) (German Weapons and Munitions Factory) for their Luger semi-automatic pistol. For this reason, it is designated as the 9mm Luger by the Sporting Arms and Ammunition Manufacturers' Institute (SAAMI), and the 9 mm Luger by the Commission Internationale Permanente pour l'Epreuve des Armes à Feu Portatives (CIP).
Question: is there a difference between 9x19 and 9mm luger
Output: | 0 | 1 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.2951086759567261,
0.17491859197616577,
-0.36737582087516785,
-0.4124123454093933,
-0.4768579304218292,
-0.5697099566459656,
0.9682692289352417,
0.6390721201896667,
0.30657103657722473,
-0.07715770602226257,
-0.3853142261505127,
0.5134572982788086,
-1.1813979148864746,
0.0233657844364643... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
3929 + 3158 - 5187 | 5958 | 0 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.3156415820121765,
0.25221896171569824,
-1.2522163391113281,
-0.03479815274477005,
-0.34076133370399475,
0.9526329040527344,
0.9256595969200134,
1.6114020347595215,
0.3484335243701935,
-0.7516329288482666,
-0.8061327934265137,
-0.4167293608188629,
-0.24102948606014252,
0.3439686298370361... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Ex Input:
簡単なことではありませんそれは間違いない
Ex Output:
و آسان نخواهد بود. این قطعی است.
Ex Input:
この取り組みは新しい試みでした
Ex Output:
بنابراین کل این پروژه یک آزمایش بود.
Ex Input:
政策の改革に成功したのは教育改革である「トップへの競争」プログラムです
Ex Output:
| چیزی که موجب تغییر عمده سیاست گذاری شد سرعت دادن به محرک های نوآوری واصلاحات برای آموزش و پرورش بود.
| 1 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.855006217956543,
-0.05311591923236847,
-0.13008864223957062,
-0.25633201003074646,
-0.7995865345001221,
-0.24182680249214172,
0.8909941911697388,
0.66175377368927,
0.2871597707271576,
-0.40377330780029297,
-1.0331733226776123,
0.12333623319864273,
-0.0786471888422966,
0.3610577583312988... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(contradiction).
Example input: sentence_A: A dancer is dancing on the stage. sentence_B: A girl is giving dance performance on the dais.
Example output: 0
Example explanation: One sentence says, "Dancing on the stage" while the other sentence says, "Dance performance on the dais", which is clearly giving the same meaning and are related to each other. So the classification is entailment.
Q: sentence_A: A woman is coating a pork chop. sentence_B: There is no woman coating a pork chop
A: | 2 | 3 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.5565398335456848,
0.4409559965133667,
0.2304682731628418,
-0.19105884432792664,
-0.033496588468551636,
-0.3718489110469818,
0.04158709570765495,
0.6083609461784363,
0.2306915521621704,
0.2706860601902008,
-0.15950435400009155,
-0.2654151916503906,
-0.08848397433757782,
-0.10616880655288... |
TASK DEFINITION: In this task, you are given a sentence in English, and your task is to translate it into Persian.
PROBLEM: Prachatai's infographic lists some of the ordinary activities the authorities have suppressed over the past nine months.
SOLUTION: دادهنمایی پراچاتای کارهای سادهای را فهرست میکند که مقامات در نه ماه گذشته آنها را سرکوب کردهاند.
PROBLEM: Bahraini Mahmood Al Yousif says the tension between Bahrain and Iran is escalating because of people "exposing their racial and sectarian intentions."
SOLUTION: محمود یوسف بلاگر بحرینی میگوید (انگلیسی) که تنش بین ایران و بحرین افزایش یافته چرا که برخی این مساله را بهانهای برای درگیریهای فرقهای و نژادی خود کردهاند.
PROBLEM: Other discussions centred around the contradictions of Internet companies. Panelists pointed to companies that publicly advocate for free flow of information and freedom of expression, yet maintain policies antagonistic towards Iranian users. In the panel “Moving Forward: Building Effective Responses,” the Director of Impact Iran, Mani Mostofi, noted that Twitter does not allow two-step verification for its Iranian users inside of Iran.
SOLUTION: | یکی از بحثهای دیگر این نشست پیرامون تناقض در عملکرد شرکتهای فناوری اینترنتی بود که مدعی انتشار آزادانه افکار، اطلاعات و عقاید هستند ولی در مورد کاربران ایرانی روشهای سختگیرانهای اعمال میکنند.
| 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.09537013620138168,
0.39621901512145996,
-0.34458833932876587,
-0.5799026489257812,
-0.4487975835800171,
-0.06167794018983841,
1.073211908340454,
0.4431699216365814,
0.7953072786331177,
0.45089414715766907,
-0.7897453308105469,
0.6088413000106812,
-0.25231653451919556,
-0.023588534444570... |
Detailed Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
See one example below:
Problem: Jag förklarar debatten avslutad.
Solution: Swedish
Explanation: Input sentence is in Swedish language.
Problem: Det finns inget som kan ersätta rigorösa regelbundna kontroller.
Solution: | Swedish | 4 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.11876848340034485,
0.3086623251438141,
0.5714853405952454,
-0.3541495203971863,
0.4273334741592407,
-0.6686573028564453,
0.18884769082069397,
0.7506088018417358,
0.7506111860275269,
0.11189848184585571,
-0.27094006538391113,
0.19403204321861267,
-0.3074028193950653,
-0.25047385692596436... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Ex Input:
In a large pot, melt the butter over moderately low heat., Add the scallion and celery and cook, stirring occasionally, until the vegetables are soft, about 4 minutes., Sprinkle with flour, and cook roux for 2 minutes, until bubbly., Stir in the stock, milk, and cream. Bring to a simmer, stirring., Add the chopped egg yolks, crabmeat, salt pepper, paprika and Old Bay, and bring almost to a simmer., Ladle into bowls, sprinkle with chopped cooked bacon, and green onion slices.
Ex Output:
butter, scallion, celery, flour, fish stock, milk, heavy cream, egg yolks, lump crabmeat, salt, fresh ground black pepper, paprika, bacon, green onion
Ex Input:
Arrange the tortilla chips in a single layer on a serving platter., Drain the beans and spoon a few of the beans on each chip., Top with a small spoonful of salsa and sprinkle with the cheddar cheese., (If your platter isnt large enough to hold them all, you can layer them.), Cheese can be expensive, but it often goes on sale., I use a lot of shredded cheese so whenever its on sale, I stock up and keep it in the freezer until I need it., You can save $4 to $6 per pound that way and it doesnt change the flavor at all., Besides that, youll always have it when you need it.
Ex Output:
Tortilla chips, black beans, chunky salsa, cheddar cheese
Ex Input:
To prepare rolls, combine first 3 ingredients in a small bowl; let stand 10 minutes. Drain fruit in a colander over a bowl, reserving fruit and juice., Weigh or lightly spoon 5 ounces (about 4 cups plus 2 tablespoons) all-purpose flour and pastry flour into dry measuring cups; level with a knife. Combine flours, salt, and next 5 ingredients (through yeast) in the bowl of a stand mixer with dough hook attached; mix until combined. Combine reserved orange juice, fat-free milk, honey, butter, and 2 eggs in a bowl, stirring with a whisk. With mixer on, slowly add milk mixture to flour mixture; mix at medium-low speed 7 minutes. Turn dough out onto a lightly floured surface. Add reserved fruit. Knead 2 minutes or until smooth and elastic; add enough of remaining 2 tablespoons all-purpose flour, 1 tablespoon at a time, to prevent dough from sticking. Place dough in a large bowl coated with cooking spray, turning to coat top. Cover and let rise in a warm, dry place, free from drafts, 1 hour or until doubled in size. (Gently press two fingers into dough. If indentation remains, dough has risen enough.) Punch dough down; cover and let rest 5 minutes. Divide into 24 equal portions; roll each portion into a ball. Place rolls in muffin cups coated with cooking spray. Cover and let rise for 1 hour or until almost doubled in size., Preheat oven to 350°., Combine 1 tablespoon water and egg white; stir with a whisk. Gently brush rolls with egg white mixture. Bake at 350° for 20 minutes or until golden, rotating pans once during baking. Remove from pans; cool 10 minutes on a wire rack., To prepare glaze, combine powdered sugar and remaining ingredients in a bowl, stirring with a whisk. Microwave at HIGH 20 seconds or until warm. Spoon glaze into a zip-top plastic bag. Seal bag; snip a tiny hole in 1 corner of bag. Pipe a cross on top of each warm roll.
Ex Output:
| Rolls, golden raisins, currants, orange juice, flour, flour, salt, lemon rind, orange rind, ground cinnamon, nutmeg, yeast, milk, honey, unsalted butter, eggs, Cooking spray, water, egg white, powdered sugar, milk, lemon juice
| 1 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
1.0773200988769531,
-0.07308007776737213,
-0.49459484219551086,
0.7454797029495239,
0.3260890245437622,
0.34230732917785645,
1.0221896171569824,
1.19091796875,
-0.30701279640197754,
-0.18999291956424713,
-0.15665920078754425,
0.12704572081565857,
-0.23612327873706818,
-0.3219054341316223,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Jeździ 10% szybciej i pobiera 15% mniej energii elektrycznej. | Facendolo andare più veloce del 10% con il 15% di elettricità in meno. | 0 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.4185965061187744,
0.926642656326294,
-0.6705164909362793,
0.002963121049106121,
-1.388132095336914,
-0.5708973407745361,
0.4049345850944519,
0.5750304460525513,
0.16956201195716858,
-0.5361507534980774,
-0.8460044860839844,
0.1329125165939331,
0.184316486120224,
0.07152776420116425,
-... |
Teacher:The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? Solve this instance: This boy made me feel relieved.
Student: | joy | 6 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.1777878701686859,
0.16000454127788544,
0.2543967366218567,
-1.0877646207809448,
-0.06355889141559601,
-0.6106377840042114,
0.6288465857505798,
0.9328737854957581,
0.08161690831184387,
-0.5444978475570679,
-0.6546745896339417,
-0.35880041122436523,
-0.722069501876831,
-0.4550952315330505... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: The first was the decision to establish within the European Union three committees for decision making relating to crisis management. The first is a political and security committee, the second is a military committee representing the Chiefs of Staff of the fifteen Member States and the third committee is to make decisions on the European Union' s relations with third countries and other organisations.
Spanish:Y esta es la diferencia con el Consejo, que dice simplemente que tiene que pagarse mediante una tasa.
A: | No | 4 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
0.39326998591423035,
0.2513015866279602,
0.1649807244539261,
0.6248698234558105,
0.6294813752174377,
-0.7928286194801331,
0.8408223986625671,
0.733382523059845,
-0.1687297523021698,
0.6765209436416626,
0.6186577677726746,
0.2907194495201111,
-0.6306143999099731,
-0.2508147358894348,
-0.1... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
Input: Consider Input: [53, 31, -29, -24, -48, -61, 95, -72, -49, 48, 4, -5, -43, -46]
Output: [42.0, 1.0, -26.5, -36.0, -54.5, 17.0, 11.5, -60.5, -0.5, 26.0, -0.5, -24.0, -44.5]
Input: Consider Input: [-19, -14, -45, -75, 0]
Output: [-16.5, -29.5, -60.0, -37.5]
Input: Consider Input: [-84, -29]
| Output: [-56.5]
| 2 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.3110767602920532,
0.22341862320899963,
-0.9404866695404053,
-0.15918153524398804,
0.22525587677955627,
0.5989034175872803,
0.6686396598815918,
0.8100697994232178,
-0.07957601547241211,
-0.39437738060951233,
-1.092787265777588,
-0.2792840600013733,
0.06181902438402176,
0.1192588657140731... |
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.
--------
Question: Liam entered the laundry. Sophia entered the laundry. The cucumber is in the red_suitcase. Sophia exited the laundry. Liam moved the cucumber to the green_cupboard. Liam exited the laundry. Sophia entered the laundry. Where was the cucumber at the beginning? Liam entered the den. Lucas entered the den. The tomato is in the green_box. Liam moved the tomato to the green_basket. Where is the tomato really? Sophia entered the den. Lucas is in the den. The onion is in the green_basket. Sophia moved the onion to the green_box. Where does Sophia think that Lucas searches for the onion? Liam entered the laundry. Sophia entered the laundry. The cucumber is in the green_cupboard. Sophia exited the laundry. Liam moved the cucumber to the red_suitcase. Where is the cucumber really?
Answer: red_suitcase
Question: Avery entered the crawlspace. Jacob entered the crawlspace. The green_pepper is in the green_crate. Jacob exited the crawlspace. Avery moved the green_pepper to the red_drawer. Avery exited the crawlspace. Jacob entered the crawlspace. Ella entered the closet. Mason entered the closet. The potato is in the red_bucket. Mason exited the closet. Ella moved the potato to the red_bottle. Ella exited the closet. Mason entered the closet. Avery entered the crawlspace. Ella entered the crawlspace. The green_pepper is in the red_drawer. Ella exited the crawlspace. Avery moved the green_pepper to the green_crate. Avery exited the crawlspace. Ella entered the crawlspace. Avery entered the porch. Ella entered the porch. The pumpkin is in the green_bucket. Ella exited the porch. Avery moved the pumpkin to the red_suitcase. Avery exited the porch. Ella entered the porch. Where does Avery think that Ella searches for the pumpkin?
Answer: green_bucket
Question: Oliver entered the front_yard. Liam entered the front_yard. The apple is in the blue_bathtub. Liam exited the front_yard. Oliver moved the apple to the green_envelope. Oliver entered the closet. Isabella entered the closet. The orange is in the green_drawer. Isabella exited the closet. Oliver moved the orange to the red_envelope. Oliver entered the workshop. Liam entered the workshop. The tomato is in the red_cupboard. Liam exited the workshop. Oliver moved the tomato to the green_suitcase. Oliver entered the sunroom. Jacob entered the sunroom. The onion is in the green_basket. Jacob exited the sunroom. Oliver moved the onion to the green_crate. Where does Oliver think that Jacob searches for the onion?
Answer: | green_basket
| 7 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.22995200753211975,
-0.6594951748847961,
-0.3583156168460846,
0.195559561252594,
-0.2246047854423523,
-0.48469021916389465,
-0.2526891231536865,
1.0125157833099365,
-0.13347959518432617,
0.11101002991199493,
0.0982675552368164,
0.5138839483261108,
-0.09526120126247406,
0.16047118604183197... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : English isn't my first language, I apologize for any mistakes.
So I'm still in high school, yeah we're just teens. I don't like drama and I don't like bringing drama upon myself. I had a friend, let's name her Faith. She told me through chat that another friend of mine, let's call him Giant, liked her. Typical crush stuff. I found it hilarious since it was very unpredictable and I didn't expect that Faith was the sort of girl Giant would fall for. Giant's immature and childish, while Faith's the exact opposite. I wasn't aware that it was supposed to be a secret, I wasn't even aware that no one knew about this.
I texted Giant saying "Faith pala, ah 🤔" which translates to "So it's Faith, huh 🤔" in English. He replied to "Pano mo nasabi?" which translates to "How'd you know" or "How'd you say that". Before I replied, Faith messaged me saying why I told Giant. Turns out Giant asked Faith if she told me anything about it. I was 100% honest the whole time, and said that I only asked to know if it was true (which is my actual intention)
Faith got mad at me. SO MAD. I apologized twice through message and she left it on seen. I tried to talk to her the next day at school, she ignored me and continued to do her own thing. I felt like shit and I felt guilty for so many weeks. There were so many times that I said hi and tried to talk to her so I can apologize, but she just walks away.
Faith and I had a couple of friends, sort of like a group. We were 5. They don't know about what happened, but she cut the ties between me and that group. I wasn't invited to the stuff they did, they didn't hang out with me, and she made them ignore me too. I felt so bad because I offended her, and I probably deserve this shit. The thing is, if other people did that to her, I bet she wouldn't react like how she did to me.
Am I the asshole for doing this?
A: | no | 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.3422536849975586,
-0.18489915132522583,
0.27320384979248047,
-0.21031510829925537,
-0.2568180561065674,
-1.1298882961273193,
0.5460410118103027,
0.542525053024292,
0.15199339389801025,
0.1607668399810791,
0.028619278222322464,
0.220656618475914,
-1.2586027383804321,
-0.4614858627319336,
... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
One example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Solution is here: ['Hey', 'everybody,', 'Ivan', 'from', 'Weights', '&', 'Biases', 'here.', 'In', 'this', 'video', "I'd"]
Explanation: This sentence is a good example since the input stream is grammatically incorrect statement and the output stream is grammatically correct.
Now, solve this: ['in', 'the', 'last', 'video', 'we', 'talked', 'about', 'how', 'the', 'cell', 'uses', 'a', 'sodium', 'potassium', 'pump', 'and', 'ATP', 'to', 'maintain', 'its', 'potential', 'difference', 'between', 'the', 'inside', 'of', 'the', 'cell', 'or', 'the', 'inside', 'of', 'the', 'neuron', 'and', 'the', '', 'outside', 'and', 'in', 'general', 'the', 'outside', 'is', 'more', 'positive', 'than', 'the', 'inside', 'you', 'have', 'a', 'minus', '70', 'millivolts', 'difference', 'from', 'the', 'inside', 'to', 'the', 'outside', 'and', "it's", 'minus', 'because', 'the', 'outside', 'is', 'more', 'positive', 'more', 'positive', 'or', 'less', 'positive', 'minus', 'more', 'positive', 'you', 'get', 'a', 'negative', 'number', 'and', "it's", 'by', 'minus', '70', 'now', 'I', 'said', 'that', 'this', 'was', 'the', 'foundation', 'for', 'understanding', 'how']
Solution: | ['In', 'the', 'last', 'video,', 'we', 'talked', 'about', 'how', 'the', 'cell', 'uses', 'a', 'sodium', 'potassium', 'pump', 'and', 'ATP', 'to', 'maintain', 'its', 'potential', 'difference', 'between', 'the', 'inside', 'of', 'the', 'cell', 'or', 'the', 'inside', 'of', 'the', 'neuron', 'and', 'the', '', 'outside', 'and', 'in', 'general', 'the', 'outside', 'is', 'more', 'positive', 'than', 'the', 'inside.', 'You', 'have', 'a', '-70', 'millivolt', 'potential', 'difference', 'from', 'the', 'inside', 'to', 'the', 'outside', 'and', "it's", 'minus', 'because', 'the', 'outside', 'is', 'more', 'positive', 'more', 'positive', 'or', 'less', 'positive', 'minus', 'more', 'positive', 'you', 'get', 'a', 'negative', 'number', 'and', "it's", 'by', 'minus', '70', 'now', 'I', 'said', 'that', 'this', 'was', 'the', 'foundation', 'for', 'understanding', 'how'] | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.8483409881591797,
0.2141263335943222,
-0.504986047744751,
-0.3202446401119232,
0.3460773229598999,
-1.0319762229919434,
0.08940282464027405,
0.8524014949798584,
-0.5046931505203247,
-0.11498486995697021,
-0.42739763855934143,
-0.11158663034439087,
-0.4604795575141907,
0.06988680362701416... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.
Problem:শেখ মুজিব না থাকলে, দেশ স্বাধীন না হলে জিয়া তোর মা আর তোর মত কুত্তারে স্বীকার করত না
Solution: | non-personal | 8 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.2530726492404938,
0.0662870705127716,
0.009091797284781933,
0.4113181233406067,
-0.4120933413505554,
-0.7727096676826477,
0.3576349914073944,
0.4540903866291046,
-0.40516602993011475,
0.021869152784347534,
-0.3530801236629486,
-0.6946858167648315,
-0.22805611789226532,
-0.54643034934997... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Problem:Jednak kluczem do jej pokonania jest wczesne wykrycie, wczesna reakcja.
Solution: | But the key to eradicating polio is early detection, early response. | 8 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.10433025658130646,
1.0667065382003784,
0.09957891702651978,
-0.6412780284881592,
-0.15811234712600708,
-0.5374644994735718,
0.8878587484359741,
-0.4113299250602722,
0.5103572607040405,
-0.4541093707084656,
-0.26661667227745056,
-0.07386860251426697,
-1.284563660621643,
0.239480257034301... |
Definition: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Input: The hormone melatonin regulates the sleep and this pineal hormone is synthesized in the organism from the amino acid tryptophan. It is known that breast-fed babies have better sleep patterns and a better entrained sleep/wake cycle than bottle-fed babies (adapted formula).', "To compare the circadian rhythm of 6-sulfatoxymelatonin (aMT6s)--the metabolite of melatonin excreted in the urine--in urine of bottle-fed and breast-fed children, and relate it to the circadian rhythm of tryptophan in breast milk, also evaluating the possible effects on the baby's night-time rest.", '16 infants of 12 weeks of age were studied, divided into two groups depending on their exclusively natural or artificial feeding. The circadian rhythm of 6-sulfatoxymelatonin in urine was measured for the two groups of infants and for the breast-feeding mothers. In the breast milk, the circadian rhythm of the amino acid tryptophan was measured. The rest of the infants was tested by wrist actimeters for a week and the sleep parameters of the infants were measured and evaluated.', 'The tryptophan in the breast milk presented a circadian rhythm with acrophase at around 03:00. This affected the 6-sulfatoxymelatonin circadian rhythm with acrophase at 06:00 in the breast-fed infants, and also promoted nocturnal sleep. Assumed sleep, actual sleep, and sleep efficiency were significantly increased in the breast fed infants with respect the formula fed infants.
Output: | Does the circadian rhythm of tryptophan in breast milk affect the rhythms of 6-sulfatoxymelatonin and sleep in newborn? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
1.1938607692718506,
-0.09343301504850388,
-0.564002275466919,
0.08260905742645264,
-0.27050668001174927,
-0.2180136740207672,
0.5334891080856323,
0.5614281892776489,
0.13723042607307434,
-0.056732866913080215,
-1.115959882736206,
0.26659417152404785,
-1.1516075134277344,
-0.146063625812530... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Ściskacie swoją bazę w ramionach, nie chcecie jej puścić, dopóki nie przygotujecie dla niej pięknej witryny www.
Output: | מחבקים את הנתונים ולא משחררים אותם עד שיוצרים בשבילם אתר יפה. | 1 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.5170894861221313,
0.638544499874115,
-0.20274969935417175,
0.19205209612846375,
-0.4594688415527344,
0.259188711643219,
1.3850579261779785,
-0.18564292788505554,
0.8412588238716125,
0.3361574113368988,
0.13555794954299927,
0.7594552636146545,
-0.6711320877075195,
-0.053752124309539795,
... |
You will be given a definition of a task first, then some input of the task.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
What was the best selling Elvis Presley single in the U.K.?
Output: | music | 1 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.36627209186553955,
0.6167583465576172,
0.02696153335273266,
-0.15244214236736298,
0.7673808336257935,
-0.43965160846710205,
0.06061682105064392,
0.08016200363636017,
-0.14528611302375793,
-0.15061622858047485,
-0.14808446168899536,
0.20156019926071167,
-0.16294866800308228,
-0.506675183... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
--------
Question: Context Word: cool and laid back.
Answer: PersonX always admired PersonY for how cool and laid back he was, but secretly _ was jealous of him and wished he could be as cool.
Question: Context Word: Ribs.
Answer: PersonX had to have his ribs fixed after PersonY hit him because _ was fragile.
Question: Context Word: panic.
Answer: | PersonX comforts PersonY when they tend to over react and panic. _ watches out for his friend.
| 7 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.9338924884796143,
0.34796103835105896,
0.010111505165696144,
0.21759048104286194,
0.41633450984954834,
-0.8905128240585327,
0.9492651224136353,
0.7376917600631714,
-0.48298799991607666,
-0.7520308494567871,
-0.25554022192955017,
-0.24499018490314484,
-0.8471903800964355,
0.04770049452781... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
One example: Context word: upset.
Solution is here: PersonX yelled at PersonY because _ was so upset about the news.
Explanation: As expected, PersonX and PersonY are mentioned only once in the question. It contains only one blank. Also, the expected answer to this question is PersonX. So, it's a valid question.
Now, solve this: Context Word: nasal.
Solution: | PersonX often had nasal issues but PersonY didn't because _ was plagued a deviated septum. | 6 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.843782365322113,
0.7594770789146423,
0.1220121756196022,
-0.0907154381275177,
0.14972975850105286,
-0.2823019027709961,
1.0879114866256714,
0.8287729620933533,
0.09903150796890259,
-0.7301340103149414,
-0.24001625180244446,
-0.009562697261571884,
-0.7474322319030762,
0.20159265398979187,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Éste es el tiburón de puntas blancas, un animal que es considerado la cuarta especie más peligrosa, si prestan atención a ese tipo de listas.
A: | This is the oceanic whitetip shark, an animal that is considered the fourth most dangerous species, if you pay attention to such lists. | 4 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.3040525019168854,
1.0589332580566406,
0.009014176204800606,
-0.0876375138759613,
0.05057975649833679,
-0.6420933604240417,
0.26905566453933716,
0.8251416683197021,
0.6382189989089966,
0.24845094978809357,
0.06165684759616852,
0.9064407348632812,
-0.16956576704978943,
-0.1263342201709747... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Part 2. Example
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Answer: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Explanation: The Spanish sentence is correctly translated into English, because the meaning is preserved.
Part 3. Exercise
Este niño no saldrá del terreno sagrado que rodea la choza de los hombres en todo ese tiempo, hasta que comience su viaje de iniciación.
Answer: | This little boy will never step outside of the sacred fields that surround the men's hut for all that time, until he begins his journey of initiation. | 7 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.9665654301643372,
0.76791912317276,
0.14842471480369568,
-0.08543434739112854,
-0.219040185213089,
0.4168356955051422,
0.3590485155582428,
1.0155233144760132,
-0.20490747690200806,
-0.23504722118377686,
-0.5775488615036011,
0.18048512935638428,
-0.6837719678878784,
-0.18007919192314148,... |
Given the task definition, example input & output, solve the new input case.
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subject 1: 'Harry', Argument/Subject 2: 'raw looking thing'
Output: glance
The sentence contains the generated relationship - glance, mentioned between two subjects - Harry and raw looking thing
New input case for you: Sentence: 'He also asked AQMD staff to develop a proposed work plan to carry out the program and present it at the January 6 Board meeting for Board approval .', Argument/Subject 1: 'board', Argument/Subject 2: 'january'
Output: | meet in | 1 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.008782104589045048,
0.9563778638839722,
0.11792603135108948,
-0.4107629060745239,
0.05408444255590439,
-0.24737448990345,
0.14817219972610474,
0.5966510772705078,
0.18007060885429382,
-0.3880130648612976,
-0.37844017148017883,
-0.09439496695995331,
-0.018372289836406708,
0.3135827779769... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
[Q]: Prompt: You have not been here 30 years.
Response 1: OK. I like that. I just said don't fall asleep. If we're already asleep when we're out there, that works.
Response 2: 27 1/2 to be exact.
[A]: Response 2
[Q]: Prompt: You didn't notice that we are flying children?
Response 1: I noticed it but thought what was really distinctive about these kids is their enthusiasm.
Response 2: I'll tell you why you can't be a member of the board. It's because everyone in my family is on the board. It's a family own sport club and you're not part of the family, Evelyn.
[A]: Response 1
[Q]: Prompt: Father, I refuse to be in the throws of love with anyone other than Larissa. I denounce this program and I will not perform.
Response 1: Oh, Janine of the Roxburys! I've heard of you.
Response 2: Son, I'm happy that you had a sex act on television for love and that you refuse to be a part of this.
[A]: | Response 2
| 5 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.3541000783443451,
0.6634821891784668,
0.1567317396402359,
-0.10500804334878922,
0.2669450342655182,
-0.7940301299095154,
0.044399015605449677,
0.7657425999641418,
-0.38997888565063477,
-0.21992100775241852,
-0.4800213575363159,
0.3191766142845154,
-0.7802265882492065,
-0.1875226199626922... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
[Q]: Person1: You are very late , but I was on pins and needles the whole time .
Person2: Oh , I ’ m sorry .
[A]: 0
[Q]: Person1: My wife is really a chatter box . It ’ s so boring .
Person2: I have an idea .
Person1: What is it ?
Person2: You just turn a deaf ear when she talks .
[A]: 0
[Q]: Person1: Hey Bobby . What's going on ?
Person2: Just taking a smoke break .
Person1: I forgot my cigarette today . Do you have another one ?
Person2: Sure . Here you go .
Person1: Thanks .
Person2: I didn't know you smoked .
Person1: Really ? I've been smoking for over a year now .
Person2: Oh . You're new to smoking still . I've been smoking for 7 years .
Person1: You ever tried to quit ?
Person2: Many times . I'm really addicted . It's harder to stop than you think .
Person1: Yeah . I tried to quit last month , and I thought it was going to be easy , but it turns out that I'm still smoking .
Person2: I highly recommend you quit soon . The longer you smoke , the harder it becomes to quit .
Person1: I think you're right . Aright . Gotta go to class . Thanks for the cigarette . I'll talk to you later .
Person2: No problem . I'll talk to you later .
[A]: | 1
| 5 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.5734355449676514,
0.5780200958251953,
-0.31805530190467834,
-0.25515443086624146,
0.3095877766609192,
-0.44941598176956177,
0.3522273600101471,
0.4619627296924591,
0.08343183249235153,
0.06838926672935486,
-0.40991586446762085,
-0.34508216381073,
0.07502730935811996,
-0.02625181898474693... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
--------
Question: هل عليك أن تركض في الماراثون أو تمارس اليوغا ؟
Answer: Debemos correr maratóns ou facer ioga?
Question: مثلاً ، لنأخذ المخاطرة. نعرف بأنّ المراهقين يميلون للمخاطرة ، هذا واقع.
Answer: Por exemplo, as condutas de risco. Sabemos da súa tendencia a arriscarse. Fano.
Question: ولكن يوجد احتمال آخر.
Answer: | Pero hai outra posibilidade.
| 7 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.5606922507286072,
0.4008830785751343,
-0.8018691539764404,
-0.5042606592178345,
-1.1680302619934082,
-0.22065101563930511,
0.6313648223876953,
0.4086926281452179,
-0.29630887508392334,
-0.8621770143508911,
-1.0092270374298096,
-0.11702566593885422,
-0.7727295160293579,
0.057911150157451... |
Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Input: Premise: Sometimes during the course of normal meiosis, chromosomes are not correctly distributed from a dividing cell into the two daughter cells.
Hypothesis: Daughter cells divide by meiosis.
Output: | entails | 3 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.13948550820350647,
0.4060937166213989,
-0.6358903050422668,
-0.0005880828248336911,
-0.48513278365135193,
-0.7563126087188721,
0.17193111777305603,
0.6615601181983948,
0.4400847554206848,
-0.200201153755188,
-0.6995691657066345,
-0.06431645154953003,
0.1328132152557373,
0.38321155309677... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this example can be: 1, 3, 5
Here is why: Here, the numerical elements in the input list are '238', '92' and '2799' and they are at positions '1', '3', and '5', respectively.
OK. solve this:
['3881', '5091', 'r', '2087', '6255', 't', 'M', 'W', 't', 'h', '7947', 'N']
Answer: | 1, 2, 4, 5, 11 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.07546137273311615,
0.0864461213350296,
-0.22024402022361755,
-0.315979540348053,
0.5181866884231567,
-0.2073879987001419,
0.5600447654724121,
0.04059538617730141,
-0.5432195663452148,
0.2703934609889984,
-0.6878066062927246,
-0.2341780662536621,
-0.13934408128261566,
-0.1043236255645752... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example Input: Miss Rosa Dartle is a character in which Charles Dickens novel?
Example Output: james steerforth
Example Input: Who played the title role in the 1955 film 'Davy Crockett, King Of The Wild Frontier'?
Example Output: davy crockett
Example Input: What Eastenders star sang on the novelty hit Come Outside?
Example Output: | eastenders
| 3 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.5134257078170776,
0.7606152296066284,
-0.795305609703064,
-0.019024115055799484,
-0.0033778659999370575,
-0.7942508459091187,
0.878849983215332,
0.5712134838104248,
0.4128389060497284,
-0.08987779170274734,
-0.6846341490745544,
-0.18319542706012726,
-0.828092634677887,
-0.361949563026428... |
Teacher:You are given a statement written in Panjabi. 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 .
Teacher: Now, understand the problem? Solve this instance: Statement: 1945 – <MASK> ਦੇ ਰਾਜਦੂਤ ਰਾਊਲਫ਼ ਵਾਲਨਬਰਗ ਨੂੰ ਜਾਸੂਸ ਕਹਿ ਕੇ ਹੰਗਰੀ ਵਿਚ ਗਿ੍ਫ਼ਤਾਰ ਕੀਤਾ ਗਿਆ; ਉਸ ਨੇ ਹਜ਼ਾਰਾਂ ਯਹੂਦੀਆਂ ਦੀਆਂ ਜਾਨਾਂ ਬਚਾਈਆਂ ਸਨ।
Option A: ਸਵੀਡਨ
Option B: ਕੋਬੇ
Option C: ਵਾਰਸਾ
Option D: ਫ਼ਰਾਂਸ
Student: | ਸਵੀਡਨ | 6 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.22640535235404968,
1.2940254211425781,
0.19241979718208313,
0.15284410119056702,
-0.7924084663391113,
-0.18141061067581177,
0.8154988884925842,
0.5835905075073242,
0.10507680475711823,
-0.3991624712944031,
0.045931462198495865,
-0.20759624242782593,
-0.4812101721763611,
-0.18475005030632... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ្នកនយោបាយនៅចក្រភពអង់គ្លេសបន្តលើកកង្វល់អំពីការបាត់បង់ ជាពិសេសព័ត៌មាន ព្រមទាំងសមត្ថភាពរដ្ឋាភិបាលក្នុងការសុវត្ថិភាពនិងប្រមូលរក្សាទិន្ន័យ។
A: Yes
Rationale: The converted Khamer sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: Japanese: マギー上院議員は「ノースショア工業高校が環境に関する仕事に関心を持ち、質が落ちているがボストン北部の縮小し続ける農業域の保全を促進することが期待される農業教育でよく知られているtheEssexAgriculturalandTechnicalHighSchoolが向上するように再建する必要がある」と話すことから始めた。
Khamer: ថាមស៍ អនឡាញ បានដកស្រង់សម្តីរបស់សកម្មជនចិនម្នាក់ដែលនិយាយថា ថង់ផ្លាស្ទិចមិនមែនជាបញ្ហាចំបងនោះទេ ហើយរដ្ឋាភិបាលត្រូវតែធ្វើឲប្រជាជនយកចិត្តទុកដាក់បន្ថែមទៀតចំពោះបរិស្ថាន។
A: | No | 9 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.4228597581386566,
-0.47558823227882385,
0.1965973973274231,
-0.1407601535320282,
0.21633324027061462,
-1.0322396755218506,
-0.5535364151000977,
0.5881237387657166,
-0.6238391399383545,
-0.08801747113466263,
0.5295098423957825,
0.6664131879806519,
-0.18155747652053833,
0.1575627624988556... |
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: Did Osornio Martinez stay in Mexico after he married Maria Elvira Camarena Aldana? Passage 1:Prior to taking up speedway, Charles worked as a baker and grocer, and performed in music halls with a piano accordion. In 1929 Charles rode for Burnley, in 1930 for Manchester White City and then for Leeds Lions and Belle Vue in 1931 but was badly injured and lost his form, and so retired from the sport. In 1933, the Belle Vue Aces tempted him out of retirement, and looked to have regained his former form when he won the Wembley championship that year, also breaking the track record. In 1934 Charles' father died, so he returned to the family business. In 1935 Wembley Lions paid £1,000 to sign Charles, where he became the club's top scorer and was selected to ride for England against Australia. He went on to win the Star Riders' Championship despite only initially taking part in the competition as a replacement for Ginger Lees. In 1936 he topped the club's scoring again, was top scorer for the England Test team, and qualified for World Championship final, tying for fourth place with Cordy Milne, and broke the track record during the meeting. He qualified again for the 1937 final. At the end of the 1938 season he decided to retire to concentrate on his long-term hobby of gliding.
Passage 2:He attended the Colegio San Luis Gonzaga and afterwards the Colegio Civil of Querétaro from 1883 to 1887. In 1892 he began his studies at the Escuela Nacional de Medicina (currently Faculty of Medicine of the UNAM) in Mexico City and graduated in 1893. As an officer candidate he completed the Escuela Práctica Médico-Militar (predecessor of the Escuela Médico Militar) at the military teaching hospital and made his specialty training in ophthalmology in the United States and in Canada from 1893 to 1895. In 1896 he married María Elvira Camarena Aldana and worked in Aguascalientes. He also was a liberal thinking politician, active in the city of Aguascalientes from 1903 to 1911 and as Deputy Governor of Aguascalientes from 1910 to 1911. From 1914 he served as a military surgeon on the side of revolutionary forces during the revolution, was promoted to the rank of Brigadier General (MC) in 1916. From June 1, 1916 to December 11, 1917 as well as from December 4, 1920 to December 16, 1934 he served as head of the medical branch in the Secretaría de Guerra y Marina. He was one of the founders of the Escuela Constitucionalista Médico Militar where he was director and taught as Professor of pathology, medical therapy and ophthalmology. From 1933 to 1934 he was director of the journal "Gaceta Médico Militar", the organ of the Mexican military branch. He died in Mexico City.
Passage 3:The Uí Briúin Seóla was one of the major branches of the powerful Uí Briúin dynasty, which had become the dominant force in Connacht by the 8th century. The genealogies list two sons of Murchadh mac Maenach: Urchadh and Urumhain. Urchadh mac Murchadh, King of Maigh Seóla (also listed as king of Iarthair Connacht, died 945, in the 14th century Book of Ballymote) was father of Bé Binn inion Urchadh, Princess of the Uí Briúin Seóla and Queen of Thomond (fl. early 10th century). Bé Binn married Cennétig mac Lorcáin of Thomond to produce a son who would become the High King of Ireland (Irish: Ard-Rí na hÉireann): Brian Bóruma mac Cennétig, known in English as Brian Boru (c. 941–23 April 1014). Brian broke the near monopoly of the Uí Néill over the High Kingship of Ireland and fought to unite Ireland as a people under one, native king. His father, Cennétig mac Lorcáin of Thomond, was one of the principal leaders of the resistance to the Danish Viking incursions. Cennétig had several wives and children but positively assigned Bé Binn as the mother of Brian Bóruma.
2
Question: When was the news organization established that hired Frank in 1932? Passage 1:Fukai was born in Fujikawa, Yamanashi on September 13, 1980. After graduating from Komazawa University, he joined J1 League club Kashima Antlers in 2003. He played many matches every season. Antlers won the 2nd place in 2003 and 2006 J.League Cup. In 2007, he moved to Albirex Niigata. In 2008, he moved to Nagoya Grampus. However he could not play many matches. In August 2008, he moved to JEF United Chiba. He played many matches as forward with Seiichiro Maki who was teammate at Komazawa University. However JEF United finished at the bottom place in 2009 season and was relegated to J2 League first time in the club history. Although he played many matches until 2012, he could not play many matches for injury in 2013 and resigned end of 2013 season. In July 2014, he joined J2 club V-Varen Nagasaki and played in 2 seasons. In 2016, he moved to J3 League club SC Sagamihara and played many matches. He retired end of 2016 season.
Passage 2:"Hush" is the second single from LL Cool J's eleventh album, The DEFinition. It was released on February 15, 2005 for Def Jam Recordings, produced by Timbaland, LL Cool J and Eric "NY Nicks, featuring vocals by 7 Aurelius, and was the follow-up to "Headsprung". Though not as successful as "Headsprung" (in North America), "Hush" still managed to make a dent on the Billboard charts; peaking at #26 on the Billboard Hot 100, #11 on the Hot Rap Singles chart and #14 on the Hot R&B/Hip-Hop Songs chart. However, "Hush" saw top ten success in the United Kingdom, where it entered and peaked at #3 on the UK Singles Chart.
Passage 3:Gervasi, was born in 1908 in Baltimore, Maryland. He graduated with a B.A. from the University of Pennsylvania. After school, he worked as reporter for The Philadelphia Record and in 1932, he went to work for the Associated Press. In 1934, he worked as a foreign correspondent in Spain where he covered the Spanish Civil War after which he was named the Rome bureau chief for Hearst International before joining Collier's Weekly immediately prior to World War II. He covered the fall of the Netherlands, Belgium, and France to the Nazis and then moved to North Africa with the British Eighth Army and then with the American forces in Southern France. After the war, he worked as a correspondent for the Washington Post, as a syndicated columnist, and as the chief of information for the Marshall Plan in Italy from 1950 to 1954.
3
Question: How did Terry Cummings hurt his knee before the 1992-1993 season? Passage 1:The 1992–93 NBA season was the Spurs' 17th season in the National Basketball Association, and 26th season as a franchise. During the offseason, Terry Cummings suffered a serious knee injury and only played in the final eight games of the season. With the acquisition of Dale Ellis from the Milwaukee Bucks and signing free agent Vinny Del Negro, plus re-signing Avery Johnson after a brief stint with the Houston Rockets, the Spurs struggled with a 9–11 start to the season as new head coach Jerry Tarkanian was fired. After playing one game under Rex Hughes, the team hired John Lucas II as their new coach. At midseason, they acquired J.R. Reid from the Charlotte Hornets. Under Lucas, the Spurs would play solid basketball posting a 10-game winning streak in January, then winning eight straight in February, finishing second in the Midwest Division with a 49–33 record. David Robinson and Sean Elliott were both selected for the 1993 NBA All-Star Game.
Passage 2:Born in Salem, New Jersey, he attended private schools, and the Rensselaer Polytechnic Institute, before graduating from Union College, New York, in 1855. While at Union he became a member of Theta Delta Chi. After his collegiate career, he studied law, and was admitted to the bar in 1858, commencing the practice of law in Salem. During the Civil War Sinnickson served as Captain in the Union Army. He was elected as a Republican to the Forty-fourth and Forty-fifth United States Congresses, serving in office from March 4, 1875 to March 3, 1879. After his stint in Washington, he resumed the practice of law in Salem. He also served as a delegate to the 1880 Republican National Convention, and he was appointed judge of the Court of Common Pleas in 1896 and reappointed in 1901 and 1906.
Passage 3:Baldwin built many 4-4-0 "American" type locomotives (the locomotive that built America). Surviving examples of which include the 1872 Countess of Dufferin and 1875's Virginia and Truckee Railroad No.22 "Inyo", but it was perhaps best known for the 2-8-2 "Mikado" and 2-8-0 "Consolidation" types. It was also well known for the unique cab-forward 4-8-8-2 articulateds built for the Southern Pacific Company and massive 2-10-2 for the Atchison, Topeka and Santa Fe Railway. Baldwin also produced their most powerful steam engines in history, the 2-8-8-4 "Yellowstone" for the Duluth, Missabe and Iron Range Railway. The Yellowstone could put down over of Tractive force. They routinely hauled 180 car trains weighing over . The Yellowstones were so good that the DM&IR refused to part with them; they hauled ore trains well into the diesel era, and the last one retired in 1963. Three have been preserved. One of Baldwin's last new and improved locomotive designs were the 4-8-4 "Northern" locomotives. Baldwin's last domestic steam locomotives were 2-6-6-2s built for the Chesapeake and Ohio Railway in 1949. Baldwin 60000, the company's 1926 demonstration steam locomotive, is on display at the Franklin Institute in Philadelphia. On a separate note, the restored and running 2-6-2 steam locomotive at Fort Edmonton Park was built by Baldwin in 1919.
| 1
| 0 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.4376048445701599,
0.7019113302230835,
-0.8297576904296875,
-0.13129790127277374,
0.9285366535186768,
0.2755308747291565,
0.6551939249038696,
1.2622584104537964,
0.050797127187252045,
-0.0026638179551810026,
-0.6231023073196411,
1.044532060623169,
-0.7103574275970459,
-0.1813783347606659,... |
In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. Your incorrect answers should be similar to the given correct answer such that it will pose a challenge for students to distinguish the two. A good incorrect answer should prevent those who skip the paragraph from answering the question. The incorrect answer should not be trivial, in the sense that they should not be easily eliminated without reading the paragraph.
Paragraph- Sent 1: The Vice President stated that he called the President to discuss the rules of engagement for the CAP.
Sent 2: He recalled feeling that it did no good to establish the CAP unless the pilots had instructions on whether they were authorized to shoot if the plane would not divert.
Sent 3: He said the President signed off on that concept.
Sent 4: The President said he remembered such a conversation, and that it reminded him of when he had been an interceptor pilot.
Sent 5: The President emphasized to us that he had authorized the shootdown of hijacked aircraft.
Sent 6: The Vice President's military aide told us he believed the Vice President spoke to the President just after entering the conference room, but he did not hear what they said.
Sent 7: Rice, who entered the room shortly after the Vice President and sat next to him, remembered hearing him inform the President, "Sir, the CAPs are up.
Sent 8: Sir, they're going to want to know what to do."Sent 9: Then she recalled hearing him say, "Yes sir."Sent 10: She believed this conversation occurred a few minutes, perhaps five, after they entered the conference room.
Sent 11: We believe this call would have taken place sometime before 10:10 to 10:15.
Sent 12: Among the sources that reflect other important events of that morning, there is no documentary evidence for this call, but the relevant sources are incomplete.
Sent 13: Others nearby who were taking notes, such as the Vice President's chief of staff, Scooter Libby, who sat next to him, and Mrs. Cheney, did not note a call between the President and Vice President immediately after the Vice President entered the conference room.
Sent 14: At 10:02, the communicators in the shelter began receiving reports from the Secret Service of an inbound aircraft-presumably hijacked-heading toward Washington.
Sent 15: That aircraft was United 93.
Sent 16: The Secret Service was getting this information directly from the FAA.
Sent 17: The FAA may have been tracking the progress of United 93 on a display that showed its projected path to Washington, not its actual radar return.
Sent 18: Thus, the Secret Service was relying on projections and was not aware the plane was already down in Pennsylvania.
Question: Where was United 93 presumably headed?.
Oregon.
Paragraph- Sent 1: Modern criticism of Pope focuses on the man, his circumstances and motivations, prompted by theoretical perspectives such as Marxism, feminism and other forms of post-structuralism.
Sent 2: Brean Hammond focuses on Pope's singular achievement in making an independent living solely from his writing.
Sent 3: Laura Brown (1985) adopts a Marxist approach and accuses Pope of being an apologist for the oppressive upper classes.
Sent 4: Hammond (1986) has studied Pope's work from the perspectives of cultural materialism and new historicism.
Sent 5: Along Hammond's lines, Raymond Williams explains art as a set of practices influenced by broad cultural factors rather than simply the vague ideas of genius alone.
Sent 6: Hayden Carruth, wrote that it was "Pope's rationalism and pandeism with which he wrote the greatest mock-epic in English literature."Sent 7: In Politics and Poetics of Transgression (1985) Peter Stallybrass and Allon White charge that Pope drew upon the low culture which he despised in order to produce his own "high art".
Sent 8: They assert Pope was implicated in the very material he was attempting to exclude, not dissimilar to observations made in Pope's time.
Sent 9: Colin Nicholson reads the poetry in terms of the Financial Revolution, showing how Pope responded to the corruption of the traditional 'landed interest' by the newly dominant 'moneyed interest'.
Sent 10: Feminists have also criticised Pope's works.
Sent 11: Ellen Pollak's The Poetics of Sexual Myth (1985) argues that Pope followed an anti-feminist tradition, that regarded women as inferior to men both intellectually and physically.
Sent 12: Carolyn Williams contends that a crisis in the male role during the 18th century in Britain impacted Pope and his writing.
Question: Who are Pope's critics?.
Laura Brown.
Paragraph- Sent 1: Paris, France (CNN) -- Hundreds of French workers, angry about proposed layoffs at a Caterpillar factory, were holding executives of the company hostage Tuesday, a spokesman for the workers said.
Sent 2: Caterpillar's French staff say they are angry about a lack of negotiations over layoffs.
Sent 3: It is at least the third time this month that French workers threatened with cutbacks have blockaded managers in their offices to demand negotiations.
Sent 4: Executives were released unharmed in both previous situations.
Sent 5: The latest incident started Tuesday morning at the office of the construction equipment company in the southeastern city of Grenoble.
Sent 6: The workers were angry that Caterpillar had proposed cutting more than 700 jobs and would not negotiate, said Nicolas Benoit, a spokesman for the workers' union.
Sent 7: They did not want to harm the Caterpillar executives, Benoit told CNN.
Sent 8: One hostage was released Tuesday evening leaving workers with four captives inside the Caterpillar building.
Sent 9: The released man was a human resources director identified only as Mr. Petit, because he has heart problems, union representative Bernard Patrick told CNN.
Sent 10: Petit had a heart attack a few weeks ago, Patrick said.
Sent 11: The four others still being held are Nicolas Polutnik, the head of operations; two other executives; and Petit's personal assistant, he said.
Sent 12: About 500 employees were also outside the building protesting.
Question: Have any executives from the Caterpillar factory been hurt by the workers so far?.
| Yes.
| 0 | NIv2 | task055_multirc_write_incorrect_answer | fs_opt | [
0.15236014127731323,
0.3177793622016907,
-0.3157269358634949,
-0.04192506521940231,
0.7392888069152832,
-0.5064671635627747,
0.4809722304344177,
0.9055631160736084,
0.01365971751511097,
0.34360164403915405,
-0.6426682472229004,
0.46948882937431335,
-0.3455549478530884,
-0.09020179510116577... |
Instructions: 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'.
Input: Tweet: RT @pagesadeciutat: @diariARA @Jurassicq @JLambanM Aquestes declaracions també surten en els vídeos de #thisIsTheRealSpain o no hi ha collo…
Output: | Favor | 3 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.16633659601211548,
0.7289015054702759,
0.1360006332397461,
0.4083898663520813,
-0.5209059715270996,
-0.8775241374969482,
0.10817012190818787,
1.2027268409729004,
-0.01658879593014717,
0.6718791723251343,
-0.3872944116592407,
0.04193057864904404,
-0.0655287653207779,
-0.7036609053611755,... |
Detailed Instructions: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
See one example below:
Problem: Spr Ithan sariyana valli
Solution: Hope Speech
Explanation: The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expected language - tamil
Problem: Bro hello everyone iam madan gowri ya marandhutiga
Solution: | Not Hope Speech | 4 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.1692589819431305,
-0.392686128616333,
0.5252569317817688,
0.4967614412307739,
-0.11197714507579803,
-1.0270469188690186,
-0.33984413743019104,
0.5886527299880981,
-0.39231181144714355,
0.3625309467315674,
-0.222317174077034,
0.1434825360774994,
-0.23213669657707214,
-0.48311054706573486... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
One example: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Soviet Union. Following the abdication of Nicholas II of Russia, the Russian Provisional Government was established. In October 1917, a red faction revolution occurred in which the Red Guard, armed groups of workers and deserting soldiers directed by the Bolshevik Party, seized control of Saint Petersburg (then known as Petrograd) and began an immediate armed takeover of cities and villages throughout the former Russian Empire.
Solution is here: Russian Revolution
Explanation: This is a good example, and the Russian Revolution is the first event mentioned.
Now, solve this: How did the campaign gain momentum?, Context: In September 2003, retired four-star general Wesley Clark announced his intention to run in the presidential primary election for the Democratic Party nomination. His campaign focused on themes of leadership and patriotism; early campaign ads relied heavily on biography. His late start left him with relatively few detailed policy proposals. This weakness was apparent in his first few debates, although he soon presented a range of position papers, including a major tax-relief plan. Nevertheless, the Democrats did not flock to support his campaign.
Solution: | presented a range of position papers, including a major tax-relief plan | 6 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.43027350306510925,
0.3945789337158203,
-0.3528609871864319,
-0.35038596391677856,
-0.4298056364059448,
0.5092188119888306,
1.1043651103973389,
1.7436846494674683,
0.48987048864364624,
0.4237580895423889,
-0.43525588512420654,
-0.3401449918746948,
-0.2973174452781677,
-0.33679884672164917... |
Instructions: 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.
Input: Fact: Sickness can be caused by skin breathing problems.
Question: What largest organ can cause sickness?
Correct Answer: Skin.
Output: | Heart. | 3 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.921457052230835,
1.0488872528076172,
-0.45008355379104614,
-0.08869771659374237,
0.021816911175847054,
-0.934234619140625,
-0.18323497474193573,
0.6173629760742188,
-0.0008864342235028744,
-0.05524268373847008,
-0.57909095287323,
0.35233452916145325,
-0.5878896713256836,
0.17551949620246... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Post: @HISTORY At that time (80 years ago) the USA were consequent and have a line. Today the USA are a soft nation without any sucess for the future. The invasion of illigal refugees must stopped in all ways. | Hateful | 0 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.4141542911529541,
0.23089972138404846,
0.7632121443748474,
0.5198308825492859,
-0.08090701699256897,
-1.0113933086395264,
0.4530598521232605,
1.2809674739837646,
0.18585684895515442,
0.9838293790817261,
0.03641652315855026,
-0.060177840292453766,
0.17691919207572937,
-0.9589827060699463... |
Detailed Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
See one example below:
Problem: Term: Cooking oil, Description: Oil consumed by humans, from vegetable or animal origin., Question: Can all types of cooking oil be poured?, Answer:No
Solution: Fact1: Some oils contain saturated fat, such as coconut oil and palm oil Fact2: Saturated fats are solid at room temperature
Explanation: This is a good answer. For answering this question you need to know both facts.
Problem: Term: Prime number, Description: Integer greater than 1 that has no positive integer divisors other than itself and 1, Question: Are Brian Cranston and Saoirse Ronan's combined Emmy Awards a prime number?, Answer:No
Solution: | Fact1: Brian Cranston has won 6 Emmy Awards. Fact2: Saoirse Ronan has won 0 Emmy awards. Fact3: 6 is divisible by the following numbers: 1,2,3, and 6. | 4 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.16374674439430237,
-0.5762252807617188,
-0.3118906021118164,
0.2683159112930298,
-0.022800052538514137,
-0.6682084798812866,
0.6515121459960938,
1.049875020980835,
-0.506226122379303,
0.39702147245407104,
-0.36258307099342346,
-0.10256543755531311,
-0.5295637845993042,
-0.505010128021240... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: このような概念実証実験から会社を設立してより幅広い分野にこれを応用すべきだと考え Ikariaという会社を人々の助けを借りて設立しました
A: | Entonces estos experimentos que validaron el concepto me guiaron a tomar la decisión de fundar una empresa. y llevar esto a un campo más amplio. Entonces fundé una empresa llamada Ikaria, con la ayuda de otros. | 4 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.4313291311264038,
0.1920439600944519,
0.008754356764256954,
-0.23333998024463654,
-0.6573336124420166,
-0.698143720626831,
0.5574250221252441,
0.7891886234283447,
0.7410750985145569,
-0.452459454536438,
-0.21399042010307312,
0.1682758629322052,
-0.3156735301017761,
0.04427799955010414,
... |
Definition: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
Input: F: Let's go to Antonio's for dinner. I love their warm bread. ,M: How strange! I've never heard of someone going to an Italian restaurant just for the bread. ,F: Well, they have tasty pasta and salads, too. But the bread is the best.
(A) M: The pasta is famous in Chines food. (B) M: I remember you didn't like Antonio's warm bread. (C) M: Excuse me, could you repeat the question? (D) M: Lily told me that you hate salad.
Output: | C | 2 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.03910796344280243,
0.08267688751220703,
-0.1024884581565857,
-0.07056599855422974,
-0.040317352861166,
0.5674612522125244,
0.507319986820221,
0.07550108432769775,
0.45130211114883423,
-0.5874358415603638,
-0.5223026275634766,
-0.27042436599731445,
-0.0753253623843193,
0.2963222861289978,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: The Prime Minister said, "Greetings on National Voters Day.
Student: | প্রধানমন্ত্রী বলেছেন : “জাতীয় ভোটদাতা দিবসের শুভেচ্ছা। | 6 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.009919246658682823,
-0.0958133190870285,
0.38752681016921997,
-0.24583515524864197,
-0.0287308432161808,
-0.9389032125473022,
0.607715368270874,
-0.5252381563186646,
-0.16280102729797363,
-0.24205684661865234,
0.05221802741289139,
-0.5975863337516785,
0.06398377567529678,
-0.496946036815... |
Instructions: 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.
Input: [-28, 43]
Output: | [84, 86] | 3 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-1.0763646364212036,
0.48699089884757996,
-0.3765411972999573,
-0.36131832003593445,
-0.007335360161960125,
-0.22011388838291168,
0.936819314956665,
0.04406218230724335,
-0.25471556186676025,
-0.10075576603412628,
-0.8319438695907593,
0.2594108581542969,
-0.37148234248161316,
-0.4250212013... |
Teacher:Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Teacher: Now, understand the problem? Solve this instance: 🙇🙇🙇🙇 can y'all females let this sink in for min? Moment of silence to get y'all bitches thinking right? http://t.co/cDN0dEYCkO
Student: | Offensive | 6 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.4467795491218567,
0.3570011258125305,
0.22472068667411804,
0.29549890756607056,
0.29432952404022217,
-1.0052310228347778,
-0.0963161289691925,
0.6368515491485596,
0.6650485992431641,
0.3295000493526459,
0.060231465846300125,
-0.48047876358032227,
-0.6862465739250183,
-1.163539171218872,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: أما مذنب بعرض خمسة أميال فقد يسبب إنقراضا جماعيا —
A: un asteroide grande cinque miglia causa considerevoli estinzioni,
****
Q: طبعا ، هذه آلة بسيطة جدا ولكننا نعمل على نسخة متناهية في الصغر منهم ونأمل أن المكعبات ستصبح مثل البودرة وتقوم بسكبها
A: Quindi certo, é una macchina molto rozza, ma stiamo lavorando su una sua microversione, Quindi certo, é una macchina molto rozza, ma stiamo lavorando su una sua microversione, e si spera che questi microcubi si riducano ad una polvere da mescolare.
****
Q: وحتى مجرد عمل التسوية نفسها ، تسوية حقيقية ، ومستدامة ، من شأنه أن يعطينا حتى مزيدًا من الوقت ، من شأنه أن يسمح لكلا الجانبين وقت أطول لنشر الألم والوصول لمساومة أكثر على الطريق.
A: | E quindi il semplice atto di compromesso, e un compromesso sostenuto, reale, ci darebbe un po 'più di tempo, permetterebbe a entrambe le fazioni più tempo per distribuire il dolore e raggiungere altri compromessi lungo il percorso.
****
| 4 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
0.1809242218732834,
0.05444099009037018,
-0.19880671799182892,
-0.20774805545806885,
0.02720711939036846,
-0.04364217817783356,
0.3114905059337616,
0.7368630170822144,
-0.2565267086029053,
-0.004271953832358122,
-0.9930529594421387,
0.0828734040260315,
-0.1618998497724533,
0.49354475736618... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: Hi Joe . You've met my new assistant , right ?
Person2: Emm ... yes . But I wasn't too impressed . I found her a little stuck up .
Person1: You are kidding , but she's so helpful .
Person2: Tom ... you are her boss , you down . Of course , she's helpful to you .
Person1: Come on . She's like that with everyone .
Person2: I don't think so actually . She never even says " hello " to me .
A: | 0 | 7 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.07416127622127533,
0.4575113356113434,
0.20467232167720795,
-0.08671365678310394,
0.29217591881752014,
0.008922710083425045,
0.1752745658159256,
-0.015532216057181358,
0.2803928256034851,
0.1216365322470665,
-0.30612510442733765,
-1.0020936727523804,
0.07179360836744308,
-0.098281227052... |
Given a text, write a compressed version of it in a single sentence.
Participants are invited to submit a similar pair--a domain name that is already taken along with an amusing and available alternative. | Participants are invited to submit a pair-a domain that is taken along with an available alternative. | 0 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-1.2347495555877686,
0.7725188136100769,
0.03783648461103439,
-0.5268329381942749,
0.03007359430193901,
0.1321468949317932,
1.1252822875976562,
-0.3368818759918213,
0.2286548763513565,
-0.3091214597225189,
-0.9604672193527222,
0.18250247836112976,
-0.7422686219215393,
-0.31159478425979614,... |
Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: The committee and the rapporteur have incorporated nine of the eleven amendments that we presented, and these centred precisely on the rights of the defence.
Spanish:La comisión y el ponente han aceptado nueve de las once enmiendas que hemos presentado y que se basan precisamente en los derechos a la defensa.
Output: | Yes | 3 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
0.1766180694103241,
0.5249627828598022,
0.4553788900375366,
0.03301820158958435,
-0.18778827786445618,
-1.2604458332061768,
0.9792558550834656,
0.6255818605422974,
0.42749688029289246,
-0.34794771671295166,
-0.06812642514705658,
0.11490369588136673,
-1.1274709701538086,
0.14007781445980072... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
Mike tún ni | Mike again? | 0 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.5448459386825562,
0.10791821777820587,
-0.1259896457195282,
0.43603774905204773,
0.17798292636871338,
-0.5811964869499207,
0.5143638253211975,
0.5046381950378418,
0.15293917059898376,
-0.3083207607269287,
0.13115757703781128,
0.25442081689834595,
-0.8142691254615784,
0.10725381970405579... |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: ce film d'interprétation mérite d'être vu. Il exprime tout ce qui peut être problématique dans notre société actuelle.
A: | 1 | 9 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.551085352897644,
0.796716570854187,
0.24886354804039001,
0.1528717577457428,
0.2355983555316925,
-0.6481671929359436,
0.346042275428772,
0.4772159457206726,
0.5169109106063843,
0.23262295126914978,
-0.7660703659057617,
-0.33013880252838135,
0.06748165935277939,
-0.17171700298786163,
0... |
Detailed Instructions: Translation from English to Telugu.
Q: You can have all that you want.
A: | మీరు మీకు కావలసిన అన్ని కలిగి. | 9 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.8820218443870544,
0.791033148765564,
-0.16179925203323364,
-0.09317624568939209,
0.08913470804691315,
-1.690294861793518,
-0.06546276807785034,
0.013873692601919174,
0.1953028291463852,
-0.08727476745843887,
0.579946756362915,
0.43762463331222534,
-0.6184228658676147,
0.6308014988899231,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Tracy didn't go home that evening and resisted Riley's attacks.
Question: What does Tracy need to do before this?
Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go
Solution: B
Why? Tracy finds somewhere to go and didn't come home because she has to resist Riley's attacks. So, C is the correct answer and B is acceptable as an incorrect answer.
New input: Context: Kai practiced piano every day before the big recital in town.
Question: How would you describe Kai?
Options: (A) non-dedicated (B) dedicated (C) weak
Solution: | C | 0 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.38858121633529663,
0.2278771996498108,
-0.398365318775177,
0.4752959609031677,
0.26060935854911804,
-0.42308616638183594,
0.7758746147155762,
0.4901600182056427,
-0.17943406105041504,
0.5336233377456665,
-0.402107834815979,
0.28484129905700684,
-0.16192889213562012,
0.03431638330221176,
... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
[EX Q]: Sentence1: He found nothing, except some jelly. Sentence2: He realized he could make a PB&J sandwich. Sentence3: He got the ingredients, and fixed himself a sandwhich. Sentence4: Jake satiated his hunger.
[EX A]: 1, Jake opened his fridge, looking for food.
[EX Q]: Sentence1: Amy called Kim. Sentence2: Kim was jealous of Amy's boyfriend. Sentence3: Amy accepted her apology. Sentence4: They decided never to let a guy come between them.
[EX A]: 2, She wanted to find out why Kim was being rude to her.
[EX Q]: Sentence1: On Allison's 25th birthday her family took her to bingo. Sentence2: She had never played before and was nervous. Sentence3: After they showed her how to play she was excited to begin. Sentence4: Allison plans to pay bingo again in the future.
[EX A]: | 4, On the fourth game she got a bingo.
| 6 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.06183803826570511,
0.6497054100036621,
0.06451497972011566,
-0.4208669662475586,
0.28844016790390015,
-0.37686046957969666,
0.11471038311719894,
0.390572726726532,
-0.27466022968292236,
0.06741036474704742,
-0.0783044695854187,
-0.33510932326316833,
-0.34833824634552,
-0.132958188652992... |
Q: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Les os de Zrinski et de Frankopan ont été retrouvés en Autriche en 1907 et apportés à Zagreb en 1919, où ils ont été inhumés de nouveau dans la cathédrale de Zagreb.
A: | The bones of Zrinski and Frankopan were found in 1907 in Austria and brought to Zagreb in 1919 , where they were rebuilt in the Zagreb Cathedral . | 7 | NIv2 | task789_pawsx_french_english_translation | zs_opt | [
0.28176891803741455,
1.204624056816101,
-0.8006377220153809,
0.6589616537094116,
-0.23765939474105835,
-0.23225194215774536,
1.1579971313476562,
-0.3104071617126465,
-0.045851267874240875,
-0.410869836807251,
0.5207142233848572,
0.6265587210655212,
-1.0231977701187134,
0.8623253107070923,
... |
instruction:
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
question:
entity: envelope
before: in inventory
after: in store
attr: location
answer:
location of envelope was in inventory before and in store afterwards
question:
entity: bag
before: out
after: put away
attr: location
answer:
location of bag was out before and put away afterwards
question:
entity: can
before: closed
after: open
attr: volume
answer:
| volume of can was closed before and open afterwards
| 9 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.04058203101158142,
0.17829909920692444,
0.01931367814540863,
0.0512654110789299,
-0.5290545225143433,
-1.3330861330032349,
-0.9452885389328003,
0.4394376873970032,
0.42026546597480774,
-0.26013046503067017,
0.2487504780292511,
0.11921583116054535,
-0.855659544467926,
-0.16016562283039093... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Example: Suppose -d - 13 = -n - 0, 0 = 2*d + 2. Solve 2*x = -10 + n for x.
Example solution: algebra
Example explanation: This is a system of three linear equations, clearly an 'algebra' question. Standard methods of solving linear equations can be used to obtain the solution.
Problem: What is prob of sequence aa when two letters picked without replacement from kaaaaakaa?
| Solution: probability | 5 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.015952451154589653,
0.252999484539032,
-0.15470826625823975,
-0.0981827825307846,
0.014904750511050224,
0.1704462766647339,
0.47999319434165955,
0.9806488752365112,
0.2749965786933899,
-0.4307040572166443,
-0.6931465864181519,
-0.10862982273101807,
-0.3536783456802368,
0.0558262765407562... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Ten as súas propias próteses externas e estes dispositivos axúdannos a todos a comunicarnos e interactuar uns con outros.
| فقد غدا لديه اجهزته الخارجية ايضاً وهذه الاجهزة الخارجية تساعدنا على التواصل والتواصل مع بعضنا البعض | 5 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-1.17600417137146,
1.19611656665802,
0.22120656073093414,
-0.5565516352653503,
-0.5205756425857544,
0.08225692808628082,
0.7790213823318481,
-0.09681962430477142,
0.33355849981307983,
0.311383455991745,
-1.0318031311035156,
0.9595211744308472,
-0.7818847298622131,
0.5636696815490723,
0.8... |
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