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 |
|---|---|---|---|---|---|---|
Q: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: philippine share prices rose #.## percent on friday , in line with other foreign markets after the us government unveiled a plan to deal with the debt crisis , dealers said . Title: hong kong shares up #.# percent at noon
A: | no | 7 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.0627524852752686,
-0.0633683055639267,
0.5654269456863403,
0.049525123089551926,
-0.17557871341705322,
0.02707766741514206,
0.6851366758346558,
0.8309472799301147,
-0.41206592321395874,
0.20623725652694702,
-0.7517500519752502,
0.156388059258461,
-0.5797549486160278,
0.38683265447616577... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
--------
Question: De meeste huisdieren slapen in een buggy.
Answer: De meeste kinderen slapen in een bed.
Question: Als je je kamer wilt opruimen, moet je je spullen opbergen.
Answer: Als u uw partner wilt overwegen dan moet u uw spullen opbergen.
Question: Kinderen wonen meestal thuis bij hun ouders.
Answer: | Kinderen wonen meestal op het adres bij hun ouders.
| 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.47066769003868103,
0.8893375396728516,
-0.5835144519805908,
-0.5140159130096436,
-0.3156964182853699,
-0.3400312662124634,
0.6022834181785583,
0.6124777793884277,
-0.01493748463690281,
-0.8361378908157349,
-0.7341126203536987,
1.453416347503662,
-1.5122344493865967,
0.008117525838315487... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example input: Вие можете да планирате една шапка портфейл, за да носят всичките си кредитни карти.
Example output: Можете да използвате кредитна карта портфейл, за да влезете във всичките си кредитни карти.
Example explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about credit card wallets and the changes in the sentence follows the commonsense knowledge.
Q: Ще участвате в инцидент, защото още една стена е ударила вашите неща.
A: | Ще бъдете замесен в инцидент, защото още една стена е ударила апартамента ви. | 3 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.07869453728199005,
0.5022662878036499,
-0.1956842839717865,
-0.40620672702789307,
0.13056644797325134,
-0.5665451288223267,
0.8772668838500977,
1.2536287307739258,
0.7847980856895447,
0.1737189143896103,
-0.15028420090675354,
0.8909125924110413,
-0.5876164436340332,
-0.04949849471449852,... |
Teacher:In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Teacher: Now, understand the problem? Solve this instance: They include the Somerset Apartments ( 1922 ) , the Garden Court Apartments ( 1915 ) and the Manchester Apartments ( 1915 ) .
These include the Manchester Apartments ( 1922 ) , the Garden Court Apartments ( 1915 ) and Somerset Apartments ( 1915 ) .
Student: | Not paraphrase | 6 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.22780483961105347,
0.665183424949646,
-0.04255116358399391,
-0.22774367034435272,
0.1538800597190857,
-0.6005322933197021,
0.9650802612304688,
-0.03138759732246399,
0.17533469200134277,
-0.3448338508605957,
-0.22499150037765503,
0.16592919826507568,
-1.2948930263519287,
-0.0211904123425... |
Teacher:In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Teacher: Now, understand the problem? Solve this instance: Which film is a part talking film with the director who liked to focus on aviation themes ?
, Word: themes
, POS tag: TO
Student: | False | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.10288719087839127,
-0.14109498262405396,
-0.10003921389579773,
0.46314162015914917,
-0.20569731295108795,
-0.15478314459323883,
0.8537884950637817,
0.7203930616378784,
-0.642894983291626,
-0.03458172827959061,
-0.4495365023612976,
-0.299906849861145,
-0.020274829119443893,
-0.2192811965... |
You will be given a definition of a task first, then some input of the task.
A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
उसका एक managerial aspect होता है, उसमें आधुनिकता होती है technology होती है, व्यवस्था होती है और श्रद्धा भी होती है, सांस्कृतिक चेतना भी होती है।
Output: | ਜਾਂਦੇ ਹਨ ਲੇਕਿਨ ਇਸਦਾ ਇੱਕ ਸਮਾਜਕ ਸਰੂਪ ਹੁੰਦਾ ਹੈ । ਉਸਦਾ ਇੱਕ managerial aspect ਹੁੰਦਾ ਹੈ, ਉਸ ਵਿੱਚ ਆਧੁਨਿਕਤਾ ਹੁੰਦੀ ਹੈ, technology ਹੁੰਦੀ ਹੈ, ਵਿਵਸਥਾ ਹੁੰਦੀ ਹੈ ਅਤੇ ਸ਼ਰਧਾ ਵੀ ਹੁੰਦੀ ਹੈ, ਸੱਭਿਆਚਾਰਕ ਚੇਤਨਾ ਵੀ ਹੁੰਦੀ ਹੈ । | 1 | NIv2 | task1011_pib_translation_hindi_punjabi | zs_opt | [
-0.44642043113708496,
0.786440372467041,
0.28528347611427307,
0.3364325761795044,
-0.5126889944076538,
-0.3882311284542084,
0.9159446954727173,
0.15160107612609863,
0.37139904499053955,
-0.3550655245780945,
-0.551327109336853,
-0.27554845809936523,
-0.07532273232936859,
0.7271674871444702,... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Example: He poured out his to heart God, and after a few minutes the need left him, for a while anyway.
Output: Inversion
"heart" and "to" have been inverted.
New input case for you: A wall of instruments he had no desire to ever use.
Output: | Original | 1 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.2657957077026367,
0.1018800362944603,
0.4097024202346802,
0.7237893342971802,
0.21396762132644653,
-0.3603086471557617,
0.3145170211791992,
0.8053821325302124,
0.16764876246452332,
-0.17244753241539001,
-0.7221469879150391,
-0.748431384563446,
-0.06878939270973206,
-0.34257686138153076,... |
Part 1. Definition
Given a sentence in the Sinhala language, translate it into the English language.
Part 2. Example
කොලැජන් විද් යුතය සන්නයනය නොකරන හෙයින් හෘත් සැකිල්ල හෘදයේ විද් යුත් සන්නයන පද්ධතිය තැනීමේ දී, වැදගත් සීමාවක් සපයයි.
Answer: Structure of the heart provides a significant limitation on making heartbeats, because collagen does not conduct electricity.
Explanation: The translation from Sinhali to English is correct.
Part 3. Exercise
ඇමරිකානු සිවිල් යුද්ධයට පෙර දක්ෂිණ හෝ එහි සීමාවේ තිබෙන ප්රාන්ත කිසිවක් වහල්ක්රමය අත්හැරීයේ නැත.
Answer: | None of the southern or border states abolished slavery before the American Civil War. | 7 | NIv2 | task601_flores_translation_sntoen | fs_opt | [
-0.11950854957103729,
0.23125143349170685,
0.038717642426490784,
-0.6234502196311951,
0.31647002696990967,
-1.3946040868759155,
-0.20341020822525024,
0.9142768979072571,
-0.1550503671169281,
0.2513045370578766,
0.3264649510383606,
0.0462644137442112,
-0.1525847315788269,
-0.000492517836391... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
[-16.831, 42.68, 28.009, -80, -69, 91, -64, 19.725]
Output: | [-80, -69, 91, -64] | 1 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.25696873664855957,
0.3510590195655823,
-0.38193491101264954,
-0.24290606379508972,
0.28244876861572266,
-0.24105069041252136,
0.8566741347312927,
0.30772295594215393,
0.04214261472225189,
0.3399978280067444,
-0.6235650777816772,
0.06261035799980164,
-0.042554792016744614,
-0.37775570154... |
Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words.
Input: Passage: Still looking for a win the Bills flew to Gillette Stadium for an AFC East rivalry match against the Patriots. In the first quarter Buffalo took the early lead when kicker Rian Lindell nailed a 39-yard field goal. Then they fell behind when QB Tom Brady made a 7-yard TD pass to WR Randy Moss. The Bills replied in the second quarter with Lindell making another 39-yard field goal, which was followed by QB Ryan Fitzpatrick getting a 5-yard TD pass to RB C. J. Spiller. The Patriots replied and took the narrow lead when Danny Woodhead made a 22-yard TD run. The Bills got the lead back when Lindell made a 34-yard field goal, which didn't last very long after kicker Stephen Gostkowski kicked a 43-yard field goal. The Bills fell further behind in the third quarter when Brady found Moss again on a 35-yard TD pass, but straight after the PAT, Buffalo scored when C. J. Spiller returned a kickoff and ran 95 yards to the endzone for a touchdown. The Patriots increased their narrow lead when Brady made a 5-yard TD pass to TE Rob Gronkowski, followed in the fourth quarter by RB BenJarvis Green-Ellis getting a 7-yard TD run. The Bills tried to come back into the game when Fitzptrick made a 37-yard touchdown pass to WR Steve Johnson, but the Patriots defense prevented anything else from happening, giving the Bills a loss and their 14th straight vs. the Patriots. With the loss, Buffalo fell to 0-3. The next day Trent Edwards was released. He was picked up by the Jacksonville Jaguars off wavers the next day.
Question: How many field goals did Bills kicker Rian Lindell make?
Answer type: Number
Output: | 3. | 3 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.517194926738739,
0.42840027809143066,
-0.4988184869289398,
0.3284468352794647,
-0.049317747354507446,
-0.25447845458984375,
0.48872578144073486,
0.47715044021606445,
0.2498849332332611,
0.030398452654480934,
-0.742314338684082,
0.8203313946723938,
-0.5917457342147827,
0.19468069076538086... |
Teacher:In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Teacher: Now, understand the problem? Solve this instance: Context: We aimed to investigate whether and how the total flavonoid extracts (TFE) from Inula britannica L. block neointimal hyperplasia induced by balloon injury in rats.', 'Rats were administered orally TFE doses of 12.5, 25 and 50 mg/kg/d by gastric gavage from 3 days before balloon injury to 14 days after the injury. The ratio of intima (I) to media (M) thickness (I/M) in carotid arteries was examined by morphological analyses. The MDA content and SOD activity in plasma were measured. The O(2)(-) production in vascular tissues was detected in situ. The expression of p47(phox) in carotid arteries was analyzed by Western blot analysis and immunohistochemistry.', 'The rats treated with TFE 50 mg/kg/d showed a reduction in neointimal hyperplasia, and the ratio of I/M of balloon injured-carotid arteries was significantly reduced by over 70% after TFE treatment, compared with the injured group. The inhibitory effect of TFE on neointimal hyperplasia was almost consistent with that of atorvastatin, a positive control. The plasma SOD activity was obviously increased by TFE treatment (P<0.01), while plasma MDA production was markedly decreased by TFE treatment (P<0.05). On day 14 after balloon injury, the carotid arteries showed an increase in O(2)(-) production that was most evident in the neointimal and medial layer of the vessel. Thus, TFE significantly inhibited injury-induced O(2)(-) production and p47(phox) expression in carotid arteries.\Question: Do flavonoids from Inula britannica L. inhibit injury-induced neointimal formation by suppressing oxidative-stress generation?
Student: | Our results suggest that TFE inhibit the neointimal hyperplasia after balloon injury, at least partly, by suppressing oxidative-stress generation. | 6 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.5800595283508301,
0.9498746395111084,
-0.5434241890907288,
0.20581695437431335,
0.4456726610660553,
-0.7405617833137512,
0.7123185992240906,
1.3987267017364502,
0.3526662588119507,
0.25016605854034424,
-0.22491228580474854,
0.1715618073940277,
-1.0001375675201416,
-0.09635300189256668,
... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
See one example below:
Problem: Passage: Omelettes make a great breakfast , and I enjoy making them because they are very easy to cook . First , I get the eggs out and begin cracking them on the side of the bowl and dumping them into the bowl . I normally use two eggs whites and one whole egg to cut the calories . I add some salt and pepper to the mix for flavor . I pour the mixture into the hot frying pan . I make sure that I add some vegetable oil to the pan before I add the eggs though because I do n't want them to stick . As this occurs , I add some cheese or vegetable to the center of the egg mixture . Really , almost any type of cheese or vegetable makes a good omelette . I then flip one side of the omelette over on to itself to seal in the contents in the middle . It is then ready to serve ! Question: How many times is the omelette flipped? Option1: three times Option2: once
Solution: once
Explanation: As mentioned in the passage that I then flip one side of the omelette; it is clear that omelette is flipped one time only.
Problem: Passage: Yesterday after a long day of playing at the park , I walked into my house not noticing my shoes were muddy and I was tracking mud all over my floor ! So first I took off my muddy shoes so that I would not keep getting my floor dirty and started getting ready to clean up the mess . First , I went into my closet and grabbed my broom , dustpan , mop , and bucket . I started by using my broom to collect the chunks of mud and sweep them into my dustpan and empty them into the garbage can . Then I dipped my mop into the bucket of soap and water and mopped up the whole floor until there was no more mud . I put my cleaning supplies away in the closet and waited twenty minutes for the floor to dry so that I would n't slip on it . Question: What was now clean? Option1: the muddy shoes. Option2: the muddy floor.
Solution: | the muddy floor. | 4 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.606248140335083,
0.5530226826667786,
-0.7327980399131775,
0.4777701795101166,
-0.3302116096019745,
-0.38684767484664917,
0.8640211820602417,
0.946130633354187,
-0.39593377709388733,
-0.4012921452522278,
-0.3356539309024811,
-0.10975810885429382,
-0.2463666945695877,
0.17930330336093903,
... |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Input: Consider Input: Williams also recorded Hill in Muscle Shoals, Alabama, in 1971, resulting in several R&B hits, including ``Chokin' Kind'' and ``It Ain't No Use'', as well as the LP The Brand New Z. Z. Hill. With his brother's help, Hill then signed with United Artists, where he was aided by arrangements and compositions by established R&B talents including Lamont Dozier and Allen Toussaint, and released several singles that made the R&B chart in the mid 1970s. After _his_ brother Matt's sudden death from a heart attack, Z. Z. Hill left United Artists and signed with Columbia Records, recording two albums with leading arranger-producer, Bert de Coteaux in New York. <sep>, Pronoun: his <sep>, A: Allen Toussaint <sep>, B: Matt
Output: Neither
Input: Consider Input: He promptly shut off steam, and the fireman, who had also seen the hazard, applied his brake. Thompson prepared to jump clear and called to his fireman ``For God's sake Joe, jump; we can do no more''. Thompson then jumped; Joe, _his_ fireman, did not. <sep>, Pronoun: his <sep>, A: Thompson <sep>, B: Joe
Output: A
Input: Consider Input: He said: ``I seriously contemplated asking her to marry me, but in the end I realised that I didn't love her quite enough to commit the rest of my life to her.'' In 1986, after Barker's romance with Richard had ended and she began a brief relationship with tennis player Stephen Shaw, Richard said that _he_was still a friend of Barker. <sep>, Pronoun: he <sep>, A: Stephen Shaw <sep>, B: Richard
| Output: B
| 2 | NIv2 | task329_gap_classification | fs_opt | [
0.7358641624450684,
0.32396164536476135,
-0.10013218969106674,
0.34364616870880127,
0.8138346672058105,
-0.5124039649963379,
1.1749786138534546,
0.9135614037513733,
-0.7946280837059021,
-0.08366712182760239,
-0.4549638032913208,
-0.15388436615467072,
-0.1846379190683365,
-0.819363713264465... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Part 2. Example
Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Answer: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Explanation: The Galician sentence is correctly translated into Farsi, because the meaning is preserved.
Part 3. Exercise
ó carón da fotografía hai información da súa vida,
Answer: | جدای این تصویر اطلاعات دیگری نیز در مورد او وجود دارد. | 7 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.1698018312454224,
1.0196300745010376,
-0.33933302760124207,
-0.24445955455303192,
0.15164940059185028,
-0.4779430031776428,
0.9846670627593994,
1.0444116592407227,
-0.044810615479946136,
0.04518618434667587,
-1.3309582471847534,
0.25024697184562683,
-0.7558193206787109,
0.25778597593307... |
Q: In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a boy standing in front of a table covered with a lot of stuff'. Find frequency of the letter 'l'
A: | 2 | 7 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.38597026467323303,
0.8453758955001831,
-0.20278716087341309,
-0.3987986445426941,
-0.5870953798294067,
0.22844544053077698,
0.13986057043075562,
0.11997268348932266,
-0.3264741897583008,
-0.33311188220977783,
-0.19284182786941528,
0.5017798542976379,
-0.38952964544296265,
0.529021739959... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: (Risos) Sim, alguém se riu. (Risos)
A: (Laughter) Yeah, somebody laughed. (Laughter)
****
Q: Ter alguém com quem possamos contra sempre, é essencial para superar as adversidades.
A: Having someone you can count on no matter what is essential to overcoming adversity.
****
Q: É um asfalto poroso, como eu disse, pois só há uma pequena quantidade de ligante entre as pedras.
A: | It's a porous asphalt, like I said, so you have only a small amount of binder between the stones.
****
| 4 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.3273271918296814,
1.193922519683838,
0.44939228892326355,
-1.051110029220581,
-0.3682449162006378,
-1.1437840461730957,
0.09296920895576477,
0.7597357034683228,
0.42279452085494995,
0.16917529702186584,
-0.5991795063018799,
0.047259747982025146,
-0.5472635626792908,
0.2542387843132019,
... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Nazywam to Kod Giacometti, wyłącznie dla TED.
A: | אני קורא לזה קוד גיאקומוטי, בלעדי לTED. | 7 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.8931787014007568,
0.661299467086792,
0.1729983240365982,
-0.46539342403411865,
-0.07304562628269196,
-0.19242903590202332,
0.6844022274017334,
-0.3569386601448059,
0.04147612303495407,
-0.1016472801566124,
-0.006859457120299339,
-0.22959929704666138,
-1.1681698560714722,
0.1943325996398... |
Part 1. Definition
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
Part 2. Example
Concept: alligator, Relatum: lizard.
Answer: coord
Explanation: Alligator and lizard belong to the same semantic class of reptiles, so the relation is coordinate.
Part 3. Exercise
Concept: coyote, Relatum: fast.
Answer: | attri | 7 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.1326749622821808,
0.21772721409797668,
-0.0169601459056139,
0.10798601806163788,
-0.5846778154373169,
0.3728964924812317,
-0.04311744496226311,
0.1412903219461441,
-0.33126282691955566,
-0.9953087568283081,
-0.4226881265640259,
0.07570227980613708,
-1.0625970363616943,
0.2327284365892410... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example Input: Abstract: BACKGROUND Being overweight is often cited as a relative contraindication to peritoneal dialysis. Our primary objective was to determine whether actual mortality rates support this opinion.
METHODS Retrospective cohort study of United States Medicare patients initiating dialysis between 1995 and 2000 (N = 418,021; 11% peritoneal dialysis).
RESULTS Seven percent were underweight [body mass index (BMI) < 18.5 kg/m2], 27% were overweight (BMI 25.0 to 29.9 kg/m2), and 23% were obese (BMI> 29.9 kg/m2) at dialysis initiation. Compared to those with normal BMI, the adjusted odds of initiating peritoneal dialysis were 0.70 (P < 0.05) in underweight, 1.12 (P < 0.05) in overweight, and 0.87 (P < 0.05) in obese subjects. Among peritoneal dialysis patients, adjusted mortality hazard ratios in the first, second, and third year were 1.45 (P < 0.05), 1.28 (P < 0.05), and 1.17 for the underweight, respectively; 0.84 (P < 0.05), 0.89 (P < 0.05), and 0.98 for the overweight, respectively; and 0.89 (P < 0.05), 0.99, and 1.00 for the obese, respectively. Apart from higher third-year mortality in the obese, associations were similar after censoring at a switch to hemodialysis. For transplantation, the corresponding results were 0.76 (P < 0.05), 0.90 (P < 0.05), and 0.88 for the underweight, respectively; 0.95, 1.06, and 0.93 for the overweight, respectively; and 0.62 (P < 0.05), 0.68, and 0.71 for the obese, respectively. For switching to hemodialysis, hazards ratios were 0.92, 0.97, and 0.80 for the underweight, respectively; 1.07, 1.11 (P < 0.05), and 1.03 for the overweight, respectively; and 1.28 (P < 0.05), 1.29 (P < 0.05), and 1.36 (P < 0.05) for the obese, respectively.
CONCLUSION Although less likely to initiate peritoneal dialysis, overweight and obese peritoneal dialysis patients have longer survival than those with lower BMI, not adequately explained by lower transplantation and technique survival rates.. Title: Serum immunoglobulin A from patients with celiac disease inhibits human T84 intestinal crypt epithelial cell differentiation.
Example Output: no
Example Input: Abstract: BACKGROUND The amyloid fibril deposits that cause systemic amyloidosis always contain the nonfibrillar normal plasma protein, serum amyloid P component (SAP). The drug (R)-1-[6-[(R)-2-carboxy-pyrrolidin-1-yl]-6-oxo-hexanoyl]pyrrolidine-2-carboxylic acid (CPHPC) efficiently depletes SAP from the plasma but leaves some SAP in amyloid deposits that can be specifically targeted by therapeutic IgG anti-SAP antibodies. In murine amyloid A type amyloidosis, the binding of these antibodies to the residual SAP in amyloid deposits activates complement and triggers the rapid clearance of amyloid by macrophage-derived multinucleated giant cells.
METHODS We conducted an open-label, single-dose-escalation, phase 1 trial involving 15 patients with systemic amyloidosis. After first using CPHPC to deplete circulating SAP, we infused a fully humanized monoclonal IgG1 anti-SAP antibody. Patients with clinical evidence of cardiac involvement were not included for safety reasons. Organ function, inflammatory markers, and amyloid load were monitored.
RESULTS There were no serious adverse events. Infusion reactions occurred in some of the initial recipients of larger doses of antibody; reactions were reduced by slowing the infusion rate for later patients. At 6 weeks, patients who had received a sufficient dose of antibody in relation to their amyloid load had decreased liver stiffness, as measured with the use of transient elastography. These patients also had improvements in liver function in association with a substantial reduction in hepatic amyloid load, as shown by means of SAP scintigraphy and measurement of extracellular volume by magnetic resonance imaging. A reduction in kidney amyloid load and shrinkage of an amyloid-laden lymph node were also observed.
CONCLUSIONS Treatment with CPHPC followed by an anti-SAP antibody safely triggered clearance of amyloid deposits from the liver and some other tissues. (Funded by GlaxoSmithKline; ClinicalTrials.gov number, NCT01777243.).. Title: RecQ helicases: caretakers of the genome
Example Output: no
Example Input: Abstract: To identify predictive molecular markers for gemcitabine resistance, we investigated changes in the expression of four genes associated with gemcitabine transport and metabolism during the development of acquired gemcitabine resistance of pancreatic cancer cell lines. The expression levels of human equilibrative nucleoside transporter-1 (hENT1), deoxycytidine kinase (dCK), RRM1, and RRM2 mRNA were analysed by real-time light cycler-PCR in various subclones during the development of acquired resistance to gemcitabine. Real-time light cycler-PCR demonstrated that the expression levels of either RRM1 or RRM2 progressively increased during the development of gemcitabine resistance. Expression of dCK was slightly increased in cells resistant to lower concentrations of gemcitabine, but was decreased below the undetectable level in higher concentration-resistant subclones. Expression of hENT1 was increased in the development of gemcitabine resistance. As acquired resistance to gemcitabine seems to correlate with the balance of these four factors, we calculated the ratio of hENT1 × dCK/RRM1 × RRM2 gene expression in gemcitabine-resistant subclones. The ratio of gene expression decreased progressively with development of acquired resistance in gemcitabine-resistant subclones. Furthermore, the expression ratio significantly correlated with gemcitabine sensitivity in eight pancreatic cancer cell lines, whereas no single gene expression level correlated with the sensitivity. These results suggest that the sensitivity of pancreatic cancer cells to gemcitabine is determined by the ratio of four factors involved in gemcitabine transport and metabolism. The ratio of the four gene expression levels correlates with acquired gemcitabine-resistance in pancreatic cancer cells, and may be useful as a predictive marker for the efficacy of gemcitabine therapy in pancreatic cancer patients.. Title: Senescent Cells, Tumor Suppression, and Organismal Aging: Good Citizens, Bad Neighbors
Example Output: | no
| 3 | NIv2 | task1587_scifact_classification | fs_opt | [
0.4243314862251282,
0.37817320227622986,
-0.2823552191257477,
0.3911759853363037,
0.5627822875976562,
-0.664193332195282,
0.6659450531005859,
0.626131534576416,
0.10139544308185577,
0.5012986660003662,
-0.4470418095588684,
0.3939734101295471,
-0.3695925176143646,
0.3851173222064972,
0.05... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
[Q]: Context: Yessir "BubbaClaus" da single drops today!! #urwelcome bubba watson (@bubbawatson) December 16, 2014 Question: who were they brought in by? Answer: parents
[A]: no
[Q]: Context: #saopaulo #worldcup #naovaitercopa protest unveils huge banner from overpass - in English. Ben Tavener (@BenTavener) April 30, 2014 Question: how are the protesters protesting? Answer: huge banner from overpass
[A]: yes
[Q]: Context: Well I guess it is time to say goodbye to all my friends, family, support team. I will be making my final impact very soon.— MESSENGER (@MESSENGER2011) April 30, 2015 Question: when will the tweeter make final impact? Answer: very soon
[A]: | yes
| 5 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.32123011350631714,
0.11387492716312408,
0.07579118013381958,
0.5460546016693115,
0.04959530010819435,
-0.18802699446678162,
0.19471266865730286,
0.5325950384140015,
-0.05953877046704292,
0.7465639114379883,
-0.1437181681394577,
0.3837665319442749,
0.1824216991662979,
0.05967824161052704... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Example input: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Example output: 1
Example explanation: There is a line in the passage which say 'The aim of this study was...' which suggests that it is talking about a specific aim. Hence, the output should be 1 as this passage has a definite aim.
Q: Pediatric inflammatory bowel disease (IBD) is challenging to diagnose because of the non-specificity of symptoms; an unequivocal diagnosis can only be made using colonoscopy, which clinicians are reluctant to recommend for children. Diagnosis of pediatric IBD is therefore frequently delayed, leading to inappropriate treatment plans and poor outcomes. We investigated the use of 16S rRNA sequencing of fecal samples and new analytical methods to assess differences in the microbiota of children with IBD and other gastrointestinal disorders.', "We applied synthetic learning in microbial ecology (SLiME) analysis to 16S sequencing data obtained from i) published surveys of microbiota diversity in IBD and ii) fecal samples from 91 children and young adults who were treated in the gastroenterology program of Children's Hospital (Boston, USA). The developed method accurately distinguished control samples from those of patients with IBD; the area under the receiver-operating-characteristic curve (AUC) value was 0.83 (corresponding to 80.3% sensitivity and 69.7% specificity at a set threshold). The accuracy was maintained among data sets collected by different sampling and sequencing methods. The method identified taxa associated with disease states and distinguished patients with Crohn's disease from those with ulcerative colitis with reasonable accuracy. The findings were validated using samples from an additional group of 68 patients; the validation test identified patients with IBD with an AUC value of 0.84 (e.g. 92% sensitivity, 58.5% specificity).
A: | 0 | 3 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.13080620765686035,
0.38376176357269287,
-0.5039483308792114,
-0.5174961090087891,
0.6832876801490784,
0.04156212508678436,
0.4400700628757477,
0.4701358675956726,
-0.16813276708126068,
0.17349177598953247,
-0.23463189601898193,
0.058055855333805084,
-0.6967446804046631,
0.41358482837677,... |
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].
In this paper, the authors propose a Bayesian variant of the skipgram model to learn word embeddings. There are two important variant compared to the original model. First, aligned sentences from multiple languages are used to train the model. Therefore, the context words of a given target word can be either from the same sentence, or from an aligned sentence in a different language. This allows to learn multilingual embedding. The second difference is that each word is represented by multiple vectors, one for each of its different senses. A latent variable z models which sense should be used, given the context. Overall, I believe that the idea of using a probabilistic model to capture polysemy is an interesting idea. The model introduced in this paper is a nice generalization of the skipgram model in that direction. However, I found the paper a bit hard to follow. The formulation might probably be simplified (e.g. why not consider a target word w and a context c, where c is either in the source or target language. Since all factors are independent, this should not change the model much, and would make the presentation easier). The performance of all models reported in Table 2 & 3 seem pretty low. Overall, I like the main idea of the paper, which is to represent word senses by latent variables in a probabilistic model. I feel that the method could be presented more clearly, which would make the paper much stronger. I also have some concerns regarding the experimental results. Pros: Interesting extension of skipgram to capture polysemy. Cons: The paper is not clearly written. Results reported in the paper seems pretty low. | en | 0 | NIv2 | task265_paper_reviews_language_identification | zs_opt | [
-0.5285736322402954,
0.013101289048790932,
0.12421097606420517,
-0.2586163878440857,
0.26988592743873596,
-0.9041990041732788,
0.42366915941238403,
1.3075331449508667,
0.03618774563074112,
0.31433337926864624,
-0.2876010239124298,
0.20691195130348206,
0.0023356350138783455,
0.0747471228241... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Q: Question: Does hepatic HMOX1 expression positively correlate with Bach-1 and miR-122 in patients with HCV mono and HIV/HCV coinfection?
Answer: HMOX1 and miR-122 play an important role in the pathogenesis of CHC in HCV mono-and HIV/HCV co-infected patients. Reduced expression of HMOX1 in patients with HIV/HCV co-infection may indicate a worse prognosis in this group. Our results do not support the importance of Bach-1 in repression of HMOX1 in patients with chronic hepatitis C.
A: yes
****
Q: Question: Is lipoprotein internalisation induced by oncogenic AMPK activation essential to maintain glioblastoma cell growth?
Answer: Our findings demonstrate that AMPK plays a crucial role in glioblastoma cell growth and suggest that blocking lipoprotein receptors could potentially be used as a plausible therapeutic approach for these and other type of tumours with high levels of AMPK.
A: yes
****
Q: Question: Does coronary bypass grafting using crossclamp fibrillation result in reliable reperfusion of the myocardium when the crossclamp is intermittently released : a prospective cohort study?
Answer: Crossclamp fibrillation does not result in reliable reperfusion of the myocardium between periods of crossclamping.
A: | no
****
| 4 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.7183194160461426,
-0.2220003604888916,
-0.6554255485534668,
0.401500940322876,
0.10817795246839523,
-0.33753883838653564,
0.4358299970626831,
0.6969952583312988,
-0.11980925500392914,
-0.12011062353849411,
-1.068550944328308,
-0.5566552877426147,
-0.31831926107406616,
0.3345463871955871... |
Detailed Instructions: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
Q: Passage: Fourth, national courts have a duty to interpret domestic law "as far as possible in the light of the wording and purpose of the directive". Textbooks (though not the Court itself) often called this "indirect effect". In Marleasing SA v La Comercial SA the Court of Justice held that a Spanish Court had to interpret its general Civil Code provisions, on contracts lacking cause or defrauding creditors, to conform with the First Company Law Directive article 11, that required incorporations would only be nullified for a fixed list of reasons. The Court of Justice quickly acknowledged that the duty of interpretation cannot contradict plain words in a national statute. But, fifth, if a member state has failed to implement a Directive, a citizen may not be able to bring claims against other non-state parties, but can sue the member state itself for failure to implement the law. So, in Francovich v Italy, the Italian government had failed to set up an insurance fund for employees to claim unpaid wages if their employers had gone insolvent, as the Insolvency Protection Directive required. Francovich, the former employee of a bankrupt Venetian firm, was therefore allowed to claim 6 million Lira from the Italian government in damages for his loss. The Court of Justice held that if a Directive would confer identifiable rights on individuals, and there is a causal link between a member state's violation of EU and a claimant's loss, damages must be paid. The fact that the incompatible law is an Act of Parliament is no defence. Question: What did the Court of Justice not acknowledge?
A: | False | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.09755522757768631,
0.6837838888168335,
0.5193940997123718,
-0.4120178520679474,
0.5517323017120361,
0.020909564569592476,
0.6953058242797852,
0.7761120796203613,
-0.34767845273017883,
0.6349033117294312,
-0.027143649756908417,
-0.6896188259124756,
-0.4367496371269226,
0.0549042709171772,... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[164, 74, 86, 98, 86, 119, 95]
| [82, 37, 43, 49, 43, 358, 286] | 5 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.7193545699119568,
0.541653037071228,
0.08070060610771179,
-0.4865661859512329,
-0.36146867275238037,
0.17176012694835663,
0.7352765798568726,
-0.21551966667175293,
0.1725086271762848,
0.22075730562210083,
-0.7510326504707336,
-0.07716064155101776,
-0.5663681030273438,
-0.013372546061873... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Problem:मैं तुम्हें सिखाऊँगा साइकिल चोरी करना!
Solution: | I'll teach you to steal bicycles! | 8 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.2812049388885498,
0.3404281735420227,
0.03799732029438019,
0.3219650983810425,
0.092426598072052,
-1.0181936025619507,
0.5779527425765991,
-0.24899637699127197,
-0.31585001945495605,
-0.46567216515541077,
-0.3479067385196686,
0.19095468521118164,
-0.9002700448036194,
0.401579886674881,
... |
TASK DEFINITION: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
PROBLEM: 8611 aggiunta 4793 sottrazione 5816 sottrazione 7853 aggiunta 9718
SOLUTION: 9453
PROBLEM: 550 sottrazione 9713 sottrazione 8786 aggiunta 7075 aggiunta 720 sottrazione 8505
SOLUTION: -18659
PROBLEM: 5323 sottrazione 9250 sottrazione 305 aggiunta 6140 aggiunta 1706
SOLUTION: | 3614
| 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.3541732728481293,
0.5001376867294312,
-0.4568299651145935,
-0.16365832090377808,
-0.6830734014511108,
0.3657867908477783,
0.7096333503723145,
1.0106923580169678,
0.16072356700897217,
-0.2671332359313965,
-0.8467000126838684,
-0.371787965297699,
-0.46768033504486084,
0.6015890836715698,
... |
Definition: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: محمد مصدق مطابق با آنچه در شناسنامهاش درج شده، در ۲۹ اردیبهشت سال ۱۲۵۸ شمسی در محلهٔ سنگلج شهر تهران به دنیا آمد. از زمان حیات مصدق تاکنون، در مورد تاریخ دقیق زادروز او اختلاف نظر هست: برخی از منابع تاریخ تولدش را طبق کتاب خاطرات و تألمات مصدق، ۲۶ خرداد ۱۲۶۱ حساب میکنند. پدرش میرزا هدایت الله آشتیانی، وزیر دفتر ناصرالدین شاه، از نوادگان میرزا محسن آشتیانی و از رجال متجدد روزگار و اطرافیان میرزا تقی خان امیرکبیر بود. مادر محمد مصدق ملک تاج خانم نجمالسلطنه دختر شاهزاده فیروز میرزا نصرتالدوله و نوهٔ عباس میرزا ولیعهد بود که موقوفه بیمارستان نجمیهٔ تهران را بنا نهاد. خانم اشرف الملوک فخرالدوله دختر مظفرالدین شاه قاجار دخترخاله محمد مصدق بود. در سال ۱۲۷۰ خورشیدی، میرزا هدایتالله آشتیانی از ناصرالدین شاه درخواست کرد که میرزا محمد (مصدق) ۹ ساله در ردیف مستوفیان زبردست قرار گیرد و در فهرست حقوقبگیران درآید و ناصرالدین شاه پذیرفت.در تاریخ ۱ شهریور ۱۲۷۱ خورشیدی پدر میرزا محمد درگذشت. پس از در گذشت پدر به رسم زمامداری آن زمان، محمد به تصدی استیفای خراسان رسید که وظائف رسیدگی به کلیه حسابهای ایالات یا ولایات مربوطه و دستورالعملهای امور مالی را برعهده داشت.. ابتدا از وجود سررشته داران راهنمایی گرفت ولی خیلی زود بر امور مسلط شد و در ردیف مستوفیان کارآمد قرار گرفت.
Question: چه زمانی مصدق حقوق بگیر شد؟
Output: | در سال ۱۲۷۰ خورشیدی | 2 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.28963202238082886,
0.7598879337310791,
-0.18890976905822754,
0.19345436990261078,
-0.17020058631896973,
0.44908785820007324,
0.5255164504051208,
1.0413936376571655,
1.2440828084945679,
-0.29251158237457275,
-0.4209519028663635,
0.21206477284431458,
-0.6390085816383362,
-0.145321771502494... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: Jag förklarar debatten avslutad.
Solution is here: The debate is closed.
Explanation: Swedish sentence is properly converted into English sentence.
Now, solve this: Vi kunde absolut inte instämma i hans åsikt att det skulle vara förnedrande för parlamentet att ta fram detaljerade instruktioner om vad vi vill att kommissionen skall ta upp i sitt reformpaket.
Solution: | We could, in no way, agree with his view that it would be demeaning for Parliament to set out detailed instructions as to what we wanted the Commission to take up in its reform package. | 6 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
0.09543084353208542,
0.6541684865951538,
0.8472588062286377,
-0.4411655068397522,
0.1587999016046524,
-0.5826694965362549,
0.9329806566238403,
0.338844895362854,
0.6917456984519958,
0.13766491413116455,
0.2915760278701782,
0.9321020245552063,
-0.5604628324508667,
-0.013948654755949974,
-... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Toilet paper when used with a toilet roll holder with a horizontal axle parallel to the floor and also parallel to the wall has two possible orientations: the toilet paper may hang over (in front of) or under (behind) the roll; if perpendicular to the wall, the two orientations are right-left or near-away. The choice is largely a matter of personal preference, dictated by habit. In surveys of US consumers and of bath and kitchen specialists, 60--70 percent of respondents prefer over.
question: is there a correct way to hang toilet paper? | No | 0 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.18883270025253296,
0.8867726922035217,
-0.5205528140068054,
0.4930262565612793,
0.06511315703392029,
-0.2941911220550537,
0.2901812493801117,
0.41903701424598694,
0.0871286690235138,
0.18522793054580688,
0.4280642867088318,
0.587956964969635,
-0.5803401470184326,
-0.10356400161981583,
... |
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 Polish.
Á química farmacéutica lévalle 10 anos crear un novo medicamento.
| Na wynalezienie leku potrzeba 10 lat. | 5 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-1.0448293685913086,
1.0511547327041626,
-0.07656611502170563,
-0.6252344846725464,
-0.1791456937789917,
-0.5991402864456177,
0.4697078466415405,
-0.4019652307033539,
-0.06564292311668396,
-0.28196579217910767,
-0.617135226726532,
0.5647546052932739,
-0.2647559940814972,
0.3790437281131744... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "which" in the following question: What is Mickey Rourke 's role in the 1983 movie in which Laurence Fishburne played Midget ?
| NN | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.14197371900081635,
0.4862423837184906,
-0.7317318916320801,
0.4649307131767273,
-0.07837159931659698,
-0.15802575647830963,
0.8922922015190125,
0.37602698802948,
-0.5594801902770996,
-0.20302629470825195,
-0.2498074322938919,
-0.24267052114009857,
0.059571266174316406,
-0.284668326377868... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Ex Input:
Jeżeli spojrzymy w przyszłość dostrzeżemy, że nie jest to najlepsza dieta.
Ex Output:
Se guardiamo al futuro, questo stile alimentare è insostenibile.
Ex Input:
Częściej zdażają się wypadki i nieszczęścia.
Ex Output:
E i piccoli gruppi sono più soggetti ad incidenti e sfortuna.
Ex Input:
To nie jest lokalna ludność, to rebelianci.
Ex Output:
| Non sono civili, questi sono i ribelli.
| 1 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.8470218777656555,
0.7016029357910156,
-0.18652813136577606,
-0.1713598668575287,
-0.9678699374198914,
-0.21071043610572815,
0.876359224319458,
0.9138718247413635,
-0.2757364809513092,
-0.7817082405090332,
-0.38026365637779236,
0.38065817952156067,
-0.29799580574035645,
0.532422780990600... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
One example: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Answer: independence high school
Solution is here: at which school were first responders on the scene for?
Explanation: We can see that independence high school should answer the generated question. Based on the tweet, all the first responders are on the scene at independence high school. So we can create a question based on this sentence.
Now, solve this: Context: The reimagining of my relationship to Pac has been deeply hurtful.— Jada Pinkett Smith (@jadapsmith) June 16, 2017 Answer: @jadapsmith
Solution: | to whom does jada smith is replying to | 6 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.5620324015617371,
0.774345338344574,
0.0661698579788208,
-0.4107820391654968,
0.2321120947599411,
-0.5950385928153992,
0.4574640989303589,
0.5329785346984863,
0.2959732413291931,
0.26451265811920166,
-0.5688862800598145,
-0.09396779537200928,
-0.6290082931518555,
-0.15047363936901093,
... |
You will be given a definition of a task first, then some input of the task.
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"
English: A subsequent regulation, Regulation 1448, adopted, not by chance, in 1999, permitted certain exemptions, in particular for special cases.
Spanish:Como si de ahora en adelante los ciudadanos tuvieran que dirigirse a la Unión Europea y al Tribunal Europeo en lugar de recurrir a sus propias autoridades y jueces. Como si los derechos fundamentales en el ámbito del empleo, la vivienda y la seguridad social se convirtieran de repente en competencias europeas.
Output: | No | 1 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.16239526867866516,
0.9203665256500244,
0.15751099586486816,
-0.09506285190582275,
0.08971348404884338,
-0.1683114767074585,
0.5313625931739807,
0.9234136939048767,
-0.03714020550251007,
0.4494779706001282,
0.3031347990036011,
0.690981388092041,
-0.7700796127319336,
-0.42418795824050903,... |
Teacher: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
Solution: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది
Reason: Correct translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.
Now, solve this instance: இந்த மேற்கோள்கள் குறித்து சில விளக்கங்களை அளிக்க விரும்புகிறேன்.
Student: | ఈ గొప్ప వాక్యంపైన నేను కొంత వివరణ ను ఇవ్వదలుచుకున్నాను. | 2 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
-0.038589756935834885,
0.670458197593689,
0.004600186366587877,
-0.07479725778102875,
0.20236657559871674,
-1.323415756225586,
0.16735413670539856,
0.2198852002620697,
-0.4965326189994812,
0.34473857283592224,
0.1267484724521637,
0.09434691071510315,
-0.14261025190353394,
-0.02896625176072... |
TASK DEFINITION: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
PROBLEM: The plot closely follows the original Israeli film Eskimo Limon (Lemon Popsicle), and revolves around protagonist Gary (Lawrence Monoson), a typical high school student in early 1980s Los Angeles, and his friends Rick (Steve Antin), the slick ladies' man, and David (Joe Rubbo).Most of the plot involves their numerous attempts to have sex, which are usually successful for Rick and David, but rarely for Gary. Early in the film the three boys pick up three girls with the promise of cocaine (instead they use Sweet'n Low). They go over to Gary's house where he gets stuck with the homely and overweight Millie, a friend of the other two more attractive girls. But their party is interrupted when Gary's parents return home and pandemonium ensues.A love triangle develops between Gary, Rick and Karen (Diane Franklin). Karen is a beautiful transfer student to their school who is a virgin that Rick is determined to deflower.One day Gary delivers pizza to Carmela (Louisa Moritz), a sexy Latina woman whose sailor boyfriend is never home, and she tells him she wants more than just pizza. Being too afraid to follow up on it, he goes away and convinces his friends to go along with him. They drop by her home using the pretext they were nearby on a pizza delivery and decided to bring her over some extra pizzas. She lets them in, puts on music and performs a sexy dance routine, to the delight of the boys. She promptly fornicates with Rick and David, but her boyfriend Paco returns home just as Gary is about to have his turn, prompting them to flee.Eventually, Rick gets Karen pregnant after they have sex only once, and he leaves her. Gary decides to help Karen pay for her abortion by selling most of his possessions and borrowing money from his boss. After the abortion, Gary and Karen spend the remainder of the weekend alone together in Gary's grandmother's house. Whilst nursing her back to health, Gary tells Karen that he sincerely loves her. Karen appears to reciprocate and they both share a tender kiss. Karen invites Gary to her 18th birthday party the following week. Gary scrapes up a few more dollars and buys Karen a gold locket for her birthday.When Gary arrives at the party, his dreams of a lasting romance with Karen are shattered when he sees Karen making out with Rick. Despite what Rick had put Karen through, she apparently decided to take him back. Gary angrily leaves the party without saying a word to either of them, taking Karen's gift with him. The film ends with the end credits rolling over a close-up of tears streaming down Gary's face as he drives home alone, emotionally broken and defeated., Question: What does Gary buy Karen for her 18th birthday?
SOLUTION: Answer: Locket
PROBLEM: Abbas Ali (Abhishek Bachchan) lives in Karol Bagh, New Delhi with his sister Sania(Asin Thottumkal). They are legally fighting for an ancestral property - land case. But the odds turn against them and they lose. Their well wisher, Shastri Chacha, advises and convinces them to migrate to his village Ranakpur where he assures Abbas that he will get him a job at his owner's place. The owner being none other than the powerful Prithviraj Raghuvanshi(Ajay Devgn). Abbas enters Ranakpur village and while saving a child trapped inside a temple, he breaks open the lock of an ancestral temple but fate plays an important twist in Abbas' life as the whole village including Prithviraj's step-brother Vikrant opposes Abbas' actions but Prithviraj arrives and handles the situation. On being asked his name, Abbas's friend comes out with a fake name, as it would create a rage if villagers came to know that the lock of a temple had been broken by a Muslim. From here starts a series of cover-ups, goof-ups and comic situations where to cover one lie, Abbas starts padding up with a bigger lie telling people that he also has a twin brother with no moustache. From here on starts the topsy-turvy journey of a single person acting as two different entities., Question: Who does Abbas live with?
SOLUTION: Answer: his sister, Sania
PROBLEM: Will Rodman, a scientist at the San Francisco biotech company Gen-Sys, is testing the viral-based drug ALZ-112 on chimpanzees to find a cure for Alzheimer's disease. ALZ-112 is given to a chimp named Bright Eyes, greatly increasing her intelligence. However, during Will's presentation for the drug, Bright Eyes is forced from her cage, goes on a rampage, and is killed. Will's boss Steven Jacobs terminates the project and orders the chimps euthanized. However, Will's assistant Robert Franklin discovers that Bright Eyes had recently given birth to an infant chimp. Will agrees to take in the chimp, who is named Caesar. Will learns that Caesar has inherited his mother's intelligence and decides to raise him. Three years later, Will introduces Caesar to the redwood forest at Muir Woods National Monument. Meanwhile, Will treats his dementia-suffering father Charles with ALZ-112, which seems to restore his cognitive ability.When Caesar reaches adolescence and sees a dog on a leash like his own, he questions his identity and learns of his origins from Will. Meanwhile, Charles's condition returns as his Alzheimer's becomes resistant to ALZ-112. Caesar injures a neighbor, Douglas Hunsiker, while defending a confused Charles. As a result, he is placed in a primate shelter where he is treated cruelly by the other chimps and the chief guard, Dodge Landon. Caesar learns how to unlock his cage, gaining free access to the common area. With the assistance of a gorilla named Buck, he confronts the sanctuary's alpha chimp named Rocket and claims that position. Meanwhile, Jacobs clears development of a more powerful, gaseous version of the drug â ALZ-113 â when Will tells him it can not only heal brain diseases but also improve intelligence. Will takes the drug home to try to save his father, but Charles declines further treatment and dies overnight.After attempting to test the drug on a scarred bonobo test subject named Koba, Franklin becomes exposed to ALZ-113 and becomes ill. Attempting to warn Will at his home, he sneezes blood onto Hunsiker and is later discovered dead. Will attempts to reclaim Caesar, but the chimp refuses to go home with him. Instead, he escapes from the facility and returns to Will's house, where he takes canisters of the ALZ-113. Upon returning, Caesar releases the gas and allows it to enhance the intelligence of the other apes. When Dodge attempts to get him back into his cage, Caesar shocks him by speaking for the first time, yelling "No!" Caesar then electrocutes the cattle prod-wielding Dodge by spraying him with water, unintentionally killing him. The apes flee the facility, release the remaining chimps from Gen-Sys, and free more apes from the San Francisco Zoo.A battle ensues as the ape army fights their way past a police blockade on the Golden Gate Bridge to escape into the redwood forest. Buck sacrifices himself to save Caesar by jumping onto the helicopter in which Jacobs is riding. The helicopter crashes onto the bridge, trapping Jacobs in the wreckage. Jacobs is then killed by Koba. As the apes find their way into the forest, Will arrives and warns Caesar that the humans will hunt them down, and begs him to return home. In response, Caesar hugs him and says that, "Caesar is home." Will, realizing that this is indeed their last goodbye, respects Caesar's wishes. In a mid-credits scene, an infected Hunsiker leaves his house for work as an airline pilot, arriving at San Francisco International Airport for his flight to Paris. His nose begins to drip blood onto the floor. A graphic traces the spread of the humanity-ravaging virus around the globe via international flight routes., Question: what did Caesar says?
SOLUTION: | Answer: "Caesar is home."
| 8 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.5449049472808838,
0.45903897285461426,
-0.6260924339294434,
-0.48078519105911255,
-0.31241142749786377,
-0.09475982189178467,
0.803467333316803,
0.6802026033401489,
-0.1415719985961914,
0.12983599305152893,
-0.3892585039138794,
0.7402249574661255,
-0.8262646794319153,
0.26531079411506653... |
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.
One example is below.
Q: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant land. It is and imposed on the Possessor (not the custodian of property as per 1978, 44th amendment of constitution). It resembles the US-type wealth tax and differs from the excise-type UK rate. The tax power is vested in the states and is delegated to local bodies, specifying the valuation method, rate band, and collection procedures. The tax base is the annual rental value (ARV) or area-based rating. Owner-occupied and other properties not producing rent are assessed on cost and then converted into ARV by applying a percentage of cost, usually four percent. Vacant land is generally exempt. Central government properties are exempt. Instead a 'service charge' is permissible under executive order. Properties of foreign missions also enjoy tax exemption without requiring reciprocity. The tax is usually accompanied by service taxes, e.g., water tax, drainage tax, conservancy (sanitation) tax, lighting tax, all using the same tax base. The rate structure is flat on rural (panchayat) properties, but in the urban (municipal) areas it is mildly progressive with about 80% of assessments falling in the first two brackets.
A: is house tax and property tax are same
Rationale: The question generated asks whether the house tax and property tax are the same and can be answered by reading the passage. Additionally, it has a binary answer and hence the generated question is correct.
Q: List of players with the most goals in an association football game -- The current world record for an international is held by Archie Thompson, who scored 13 goals against American Samoa in Australia's 31--0 victory during the 2002 FIFA World Cup qualification. In the same match, David Zdrilic scored 8 goals.
A: | has anyone scored 6 goals in one game | 9 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.4704473614692688,
0.3548923134803772,
-0.8591654300689697,
0.9178290367126465,
0.5328631401062012,
-0.3603892922401428,
1.2520160675048828,
0.8634147644042969,
-0.8065418004989624,
-0.020014479756355286,
-0.9452664852142334,
1.0961484909057617,
-0.8000897169113159,
-0.0799575224518776,
... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Q: Post: @caaamicastilloo Callate vos qué no me hablaste más puta
A: Individual
****
Q: Post: @EPN @JuanOrlandoH @sanchezceren @jimmymoralesgt ¿Qué estás haciendo con respecto a tus niños ciudadanos indocumentados en mi país? Debes asumir la responsabilidad de tu gente.
A: Individual
****
Q: Post: Nacho pedazo de negro indocumentado
A: | Individual
****
| 4 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-0.4388697147369385,
0.17019905149936676,
0.4394516050815582,
-0.039327751845121384,
-0.4011644124984741,
-0.5844679474830627,
0.33898019790649414,
0.9620100259780884,
-0.4571039080619812,
0.31630316376686096,
-0.3706859052181244,
-0.039741165935993195,
-0.42075464129447937,
-0.53626179695... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Problem:5, ['y', 'k', '3893', '6009', '5493', 'A', '7887', '8043', '1563', 'g', 's', 'y', '3097', '4733', '6639', '3771', 'd']
Solution: | y, k, 3893, 6009, 5493, A, 7887, 8043, 1563, g, s, y | 8 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.5181266069412231,
-0.060830555856227875,
-0.2582244277000427,
-0.5533448457717896,
-0.6664831638336182,
-0.1967201977968216,
0.42592853307724,
0.07719089090824127,
0.21743017435073853,
0.14185018837451935,
-0.7040006518363953,
-0.3642656207084656,
0.12159381061792374,
0.3909916877746582,... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Chinese language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form 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) The fully capitalized words like DATE_0, or DURATION_0 *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. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Q: find the " vietnamese " restaurants .
A: | 查找" vietnamese "餐厅。 | 4 | NIv2 | task253_spl_translation_en_zh | zs_opt | [
-0.5521556735038757,
0.49934956431388855,
-0.23977768421173096,
-0.07023077458143234,
-0.07092919945716858,
-0.21364861726760864,
0.678294837474823,
0.46668389439582825,
-0.22091463208198547,
-0.07921149581670761,
0.602773904800415,
0.005966172553598881,
-0.06061948835849762,
0.64217883348... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
SQL: SELECT avg ( Area ) , max ( Capacity ) FROM stadium
Feedback: Swap the average of "Area" with the average of "Capacity"
Solution: SELECT avg(capacity) , max(capacity) FROM stadium
Why? The SQL statement was adjusted to find the average of the capacity. This is a good example.
New input: SQL: SELECT T1.star_rating_description , T1.star_rating_description FROM Ref_Hotel_Star_Ratings AS T1 JOIN Hotels AS T2 ON T1.star_rating_code = T2.star_rating_code ORDER BY T2.price_range Asc LIMIT 3
Feedback: No need to find star rating description twice and replace one with star rating code instead .
Solution: | SELECT other_hotel_details , star_rating_code FROM HOTELS ORDER BY price_range ASC LIMIT 3 | 0 | NIv2 | task076_splash_correcting_sql_mistake | fs_opt | [
0.412025511264801,
0.7020936608314514,
-1.15337073802948,
0.7748059034347534,
-0.12525196373462677,
-0.44676297903060913,
0.6067848205566406,
0.9860650300979614,
-0.266816645860672,
0.07431157678365707,
0.2964755594730377,
0.35899704694747925,
-0.06936390697956085,
0.4234711825847626,
0.... |
Given the task definition and input, reply with output. In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Sentence 1: Drew stopped his car in front of the drive Thru window.
Sentence 3: He ordered a chicken sandwich
Sentence 4: When he moved towards the front window, the lady appeared
Sentence 5: She gave him an ice cream
Option 1: The person on the intercom asked what he wanted to order.
Option 2: The person on the intercom said the restaurant was closing early.
| Option 1 | 5 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.6764503717422485,
0.1529330313205719,
0.47534435987472534,
-0.2916346490383148,
-0.31855279207229614,
0.617789626121521,
-0.08232948929071426,
0.34748604893684387,
0.49221909046173096,
0.03888539969921112,
-0.23927022516727448,
-0.8667463064193726,
-0.06263184547424316,
-0.1422887444496... |
Q: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Michael Williamson of Springfield sued the federal agency on Jan. 23 in U.S. District Court in Eugene after a VA contract company notified him that his home health care of nearly 20 years would soon end because it couldn’t find caregivers for his round-the-clock assistance. Officials at the Roseburg VA Health Care System told Williamson he would have to move to an out-of-state nursing home, according to the lawsuit. The settlement dismissing the lawsuit was announced by U.S. Attorney for Oregon Billy Williams, who said Williamson is an honored veteran deserving of thoughtful and attentive care. Williamson served 14 years in the Air Force and was in Saudi Arabia during the Gulf War in the early 1990s. He was diagnosed with amyotrophic lateral sclerosis around the turn of the century. “I’m pleased we were able to achieve a successful outcome that honored our veteran and his family’s wishes while also providing a safe environment for his care,” said David Whitmer, the Roseburg VA’s interim director. “Because of the complex care needed by an ALS patient, this took some time to negotiate and ensure a home-based solution that could meet all of the requirements.” Thomas Stenson, a Disability Rights Oregon lawyer who represented Williamson, told The Oregonian/Oregonian it was important to his client to continue receiving care at home. “It was a challenging situation, and when we filed suit, the VA stepped up and we came to an agreement,” Stenson said. “We’re very happy the VA was able to work with us.”
A: | VA will provide in-home care for vet with Gehrig’s disease. | 7 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.7636069655418396,
0.5280042886734009,
-0.2429598867893219,
-0.5074418187141418,
0.18546387553215027,
-0.6559404730796814,
0.4177432060241699,
1.2441179752349854,
0.061394643038511276,
0.14606833457946777,
0.22725923359394073,
0.4168064594268799,
-0.47653090953826904,
-0.21929948031902313... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Example Input: ניאלץ לחזור להתחלה לשם כך. "" ואני שכנעתי אותו שעלינו לעזוב את החדר עם ההסכמה לבנות כפי שתוכנן.
Example Output: علينا العودة إلى البداية للقيام بهذا "" و أقنعته بأن نغادر الغرفة بالاتفاق على بناءه كما تم تصميمه
Example Input: יש התקדמות דומה בתחום האנרגיה, כולל אנרגיה ממקורות מתחדשים.
Example Output: وتقدم مشابه يحدث في مجال الطاقة بما في ذلك الطاقة المتجددة.
Example Input: אפילו אם אתם לא באמת אוספים אותם, בשלב מסויים, אתם לגמרי אוספים בובות דובי קוטב, והאוסף שלכם הוא בטח די אדיר.
Example Output: | حتى لو أنك لا ، في مرحلة من المراحل ، تجمع الدببة القطبية المحشوة بالكامل ، ومجموعتك مميزة نوعًا ما.
| 3 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
0.05089090019464493,
0.9692622423171997,
-0.24826940894126892,
-0.5188780426979065,
-0.5268146991729736,
-0.07943590730428696,
0.7263244390487671,
-0.13572759926319122,
0.13786667585372925,
-0.19154193997383118,
-0.5970894694328308,
0.45762139558792114,
-0.8668409585952759,
0.0786368697881... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX eats ___ the next day<sep>Tail: replace the food
Student: | Yes | 6 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.1927742213010788,
0.2656683027744293,
0.6512654423713684,
-0.5444092750549316,
-0.7752358913421631,
-0.8167157173156738,
1.318871259689331,
0.19064323604106903,
-0.8509926795959473,
-0.9420937299728394,
-0.24975840747356415,
-0.7184363603591919,
-0.8317946791648865,
0.4010114371776581,
... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a train station with a train sitting there waiting to be loaded'. How many words start with the letter 't' in the sentence.
4
Sentence: 'post it notes scissors and glue stick on a table'. How many words start with the letter 's' in the sentence.
2
Sentence: 'a sandwich wrapped in aluminum foil with a cookie on the right'. How many words start with the letter 'o' in the sentence.
| 1
| 0 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.1046600416302681,
1.0620990991592407,
-0.5817699432373047,
-0.2558830976486206,
0.19159001111984253,
-0.1635001003742218,
-0.07129046320915222,
0.3481135964393616,
0.5711818933486938,
-0.6236531734466553,
-0.007428398355841637,
-0.44653815031051636,
-0.016341986134648323,
0.1440174728631... |
Instructions: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
Input: Context: His two goals for the club both came in his second starting appearance in a 3–1 win over Luton Town on 26 February 2005. Link Information: none Answer: none
Output: | What was Luton Town's record the year that David Hibbert had his second starting appearance in which he scored two goals against them? | 3 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.3074040412902832,
0.6838488578796387,
-0.29895803332328796,
0.5086443424224854,
0.2448291778564453,
-0.1713266372680664,
0.3824760913848877,
0.6460415720939636,
0.16263452172279358,
-0.5629304647445679,
-0.5173333883285522,
0.5224983096122742,
-1.174460530281067,
0.012825614772737026,
... |
Teacher:In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Teacher: Now, understand the problem? Solve this instance: What is the meaning of the name of the team with 10 Kanada-malja wins and the last win in 2017 ?
, Word: What
, POS tag: IN
Student: | False | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.10176283121109009,
-0.13358783721923828,
-0.5709044933319092,
0.1250605285167694,
-0.16384069621562958,
-0.7529309988021851,
0.8915082812309265,
0.5183858871459961,
-0.3363340497016907,
-0.02197306603193283,
-0.5367130041122437,
0.5331889390945435,
0.012201969511806965,
-0.09281156212091... |
TASK DEFINITION: In this task, you need to replace a letter in the sentence with another given letter.
PROBLEM: Sentence: 'several older electronics, including cellular phones and a palm pilot with a broken screen next to each other in white box enclosure'. Replace the letter 'u' with 't' in the sentence.
SOLUTION: several older electronics, incltding celltlar phones and a palm pilot with a broken screen next to each other in white box enclostre
PROBLEM: Sentence: 'adult man on grassy field playing disc game'. Replace the letter 'n' with 'l' in the sentence.
SOLUTION: adult mal ol grassy field playilg disc game
PROBLEM: Sentence: 'many different types of apples divided into baskets'. Replace the letter 's' with 'c' in the sentence.
SOLUTION: | many different typec of applec divided into backetc
| 8 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.2759357988834381,
0.6266626119613647,
-0.9587115049362183,
-0.5606823563575745,
0.19312313199043274,
0.07207566499710083,
0.020153310149908066,
0.48033368587493896,
0.3553180694580078,
-0.010054536163806915,
0.5632246732711792,
0.8325026035308838,
-0.542493462562561,
0.08333060890436172... |
Part 1. Definition
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Part 2. Example
What does the dc in Washington DC stand for?
Answer: District of Columbia
Explanation: Washington, DC, isn't a state; it's a district. DC stands for District of Columbia.
Part 3. Exercise
When did brazil win their last world cup?
Answer: | 30 June 2002 | 7 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
0.1967962384223938,
0.3858688473701477,
-0.8984288573265076,
-0.16554410755634308,
-0.8088743686676025,
0.08656330406665802,
0.6610177755355835,
0.2398802638053894,
-0.003035589586943388,
0.07092172652482986,
-0.946237325668335,
0.1593969166278839,
-0.5854222774505615,
0.04847661405801773,... |
You will be given a definition of a task first, then some input of the task.
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed 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 or generic names (e.g., Donald Trump, John Doe, etc.) in your question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them.
Context Word: awake.
Question: PersonX kept PersonY awake all night because _ was a baby that just wouldn't calm down.
Answer: PersonX
Output: | PersonX kept PersonY awake all night because _ was a parent that just couldn't calm them down. | 1 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
1.138145923614502,
0.4440611004829407,
-0.30986806750297546,
-0.14974015951156616,
-0.05651278421282768,
-0.8145723342895508,
1.6657745838165283,
0.6549386978149414,
-0.3750866651535034,
-0.7356882095336914,
-0.4171817898750305,
0.1809213012456894,
-0.6423159241676331,
0.46567147970199585,... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: There were many ventures during the 19th century to start iron and steel manufacture on modern lines .
Output: | 19वीं शताब्दी में आधुनिक तरीके से लोहा और इस्पात निर्माण के अनेक साहसपूर्ण कदम उठाये गये । | 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.3120960593223572,
0.7689817547798157,
-0.23449692130088806,
0.022964559495449066,
-0.1388140618801117,
-0.2374216467142105,
-0.2349284589290619,
0.850969135761261,
-0.037011317908763885,
-0.17621822655200958,
-0.5818986892700195,
-0.0034639197401702404,
-0.15248648822307587,
0.0680360943... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Input: Consider Input: Text one: Some commentators notice a connection between the character Michael K and the protagonist Josef K. in The Trial by Franz Kafka.
Text two: Some reviewers notice a connection between the character Michael K and the protagonist Josef K. in The Trial by Franz Kafka.
Output: Text two
Input: Consider Input: Text one: Wheat, rye and barley are grains loaded with starch.
Text two: Wheat, rye and barley are grains loaded with starch.
Output: Text one
Input: Consider Input: Text one: History The first mention of the town dates from 1178.
Text two: The first mention of the town dates from 1178.
| Output: Text two
| 2 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.44312191009521484,
1.063784122467041,
0.4508439302444458,
0.08048715442419052,
0.018764235079288483,
-0.3485339283943176,
0.7480524778366089,
0.7328841090202332,
-0.28118836879730225,
0.35823532938957214,
-0.5356766581535339,
-0.733096182346344,
-0.6966811418533325,
0.4090932607650757,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Solution: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Why? The Italian sentence is correctly translated into Arabic, because the meaning is preserved.
New input: Quelli in giallo stanno per farlo.
Solution: | أما البلدان باللون الأصفر فأنهم على وشك تحقيق هذه الأهداف | 0 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.5439200401306152,
0.3748491406440735,
-0.26388126611709595,
-0.38591521978378296,
-0.6410029530525208,
-0.19196999073028564,
0.7049477100372314,
0.7036051750183105,
0.24579793214797974,
-0.32763126492500305,
-0.24955546855926514,
0.035535067319869995,
-0.4064141511917114,
0.622504353523... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Problem:No me pueden reconocer porque solía peinarme diferente entonces.
Solution: | You may not recognize me because I used to part my hair differently there. | 8 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.11323796212673187,
0.8307936191558838,
0.2708129286766052,
-0.6925600171089172,
-0.42358946800231934,
-0.7106304168701172,
-0.3301916718482971,
1.0362293720245361,
0.8630384206771851,
-0.36311984062194824,
0.1864340901374817,
-0.17034587264060974,
-0.5191123485565186,
0.0177938938140869... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
One example is below.
Q: A ideia é muito, muito simples.
A: このアイデアはとてもシンプルで
Rationale: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Só têm de levantar a mão.
A: | 手を挙げるだけでよいのです | 9 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.18258298933506012,
0.822746217250824,
0.03396087884902954,
-0.7819132208824158,
-0.3489193618297577,
-1.2020421028137207,
0.6328634023666382,
0.2714783847332001,
0.3640477657318115,
-0.7492564916610718,
-0.7414498329162598,
0.27304184436798096,
-1.0756292343139648,
0.3844012916088104,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Q: Sentence 1: This was-and remains-an enormous challenge. Sentence 2: This is a very significant difficulty that has not be corrected.
A: | government | 4 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.9995815753936768,
0.989583432674408,
0.3382114768028259,
-0.5746240615844727,
-0.11507759988307953,
0.5579464435577393,
0.34601056575775146,
0.8075042963027954,
0.0495779812335968,
-0.20167142152786255,
-0.4717601537704468,
-0.4701733887195587,
-0.15253733098506927,
-0.2741948366165161,... |
Instructions: Given a text, write a compressed version of it in a single sentence.
Input: FDA has found that the final rule will not impose a mandate on either state, local, or tribal governments or the private sector in any one year of $100 million or more.
Output: | FDA has found that the final rule will not impose a mandate on either state, local, tribal governments, or the private sector. | 3 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-0.3367401361465454,
0.28905215859413147,
-0.040761109441518784,
-0.7949299812316895,
-0.3905565142631531,
-0.24128136038780212,
0.36432671546936035,
0.26970434188842773,
0.13366220891475677,
-0.23484018445014954,
-0.37997546792030334,
0.1606369912624359,
-0.08583939075469971,
-0.917960166... |
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.
One example is below.
Q: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: He is happy now.
A: 4, The incident caused him to turn a new leaf.
Rationale: As mentioned in fourth sentence, he is happy now; so, the incident turned a new leaf to Rick's life.
Q: Sentence1: On Christmas morning, I woke up at 5 AM like when I was a child. Sentence2: I sat in front of the tree in the dark and admired the lights. Sentence3: I made two mugs of hot chocolate and woke up my husband. Sentence4: It was a great morning.
A: | 3, The presents looked beautiful, all wrapped up, underneath the tree. | 9 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
0.1756386160850525,
0.8541622161865234,
0.23669037222862244,
-0.12160985171794891,
0.4485468864440918,
-0.43073809146881104,
0.5503385066986084,
0.7624563574790955,
0.2364547848701477,
0.10049854218959808,
-0.46395623683929443,
-0.5754566788673401,
-0.6146838665008545,
-0.09673973172903061... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
arnold 's letting me use his house for the week , and he 's really finicky about that sort of thing .
| arnold 's letting me use this house for a week , and he 's very punctual about these things . | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.5467327833175659,
1.1943708658218384,
0.5188851356506348,
-0.13151848316192627,
-0.3227832615375519,
-0.5741778612136841,
0.9904218912124634,
-0.31338733434677124,
-0.1921735405921936,
0.16094471514225006,
-0.7511951327323914,
0.44574087858200073,
-1.2252914905548096,
0.1045099198818206... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Q: Fact: Water evaporates more quickly in the summer.
A: | When would water evaporate the most quickly? | 4 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.4756399989128113,
1.088889479637146,
0.097365602850914,
-0.050337716937065125,
-0.9663113951683044,
-0.7025244832038879,
0.528869092464447,
0.7639198303222656,
0.23623645305633545,
-0.6615824699401855,
-1.2694567441940308,
-0.21058550477027893,
-0.841825544834137,
0.37007731199264526,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Answer: 1874May
Solution: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Why? From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of generated question.
New input: Context_1 : The Country Nation World Tour was the twelfth headlining concert tour by American country music singer Brad Paisley. The tour was in support of his ninth studio album, "Wheelhouse" (2013), and tenth studio album, "Moonshine in the Trunk" (2014). The tour began on May 16, 2014, in Camden, New Jersey, and finished on April 26, 2015, in Anchorage, Alaska. Context_2 : Taiwanese singer Jolin Tsai ( ) has embarked on four concert tours, each of which has been worldwide. Her 2004 debut, the J1 World Tour, was based in Asia and visited North America. Tsai appeared onstage on a rising platform and stroke yoga poses. In 2006, Tsai performed on the Dancing Forever World Tour, which visited Asia, Oceania, and North America. The performances featured Tsai striking yoga poses on rings and pommel horse. However, some critics complained that the show concentrated on "juggling", but generally the response was favorable. In 2010, she embarked on the Myself World Tour. The performances featured Tsai performing either aerial hoop or pole dance during the final segment. She grossed more than NT$150 million and eventually played in front of 600,000 people in Asia, Europe, and Oceania. In 2015, Tsai performed on the Play World Tour, which collaborated with Live Nation Entertainment and visited Asia and North America. Context_3 : American singer Demi Lovato has embarked six concert tours and performed live at various award ceremonies and television shows. Her debut promotional tour in 2008, Demi Live! Warm Up Tour was based in North America only and supported her debut studio album, "Don't Forget" (2008). At the same year, Lovato served as one of the opening acts for Jonas Brothers on their fifth concert tour, Burnin' Up Tour. Lovato also served as one of the opening acts for Avril Lavigne on her third concert tour, The Best Damn World Tour on selected dates in North America. In 2009, Lovato performed as the opening act on the Jonas Brothers World Tour 2009 with Jonas Brothers during the South American and European legs, before she continued to tour her first headlining tour, during Summer 2009, promoting her debut album "Don't Forget" and her sophomore album "Here We Go Again". The tour featured opening acts, David Archuleta, Jordan Pruitt and KSM. In 2010, Lovato performed as the opening act on Jonas Brothers' Live in Concert World Tour 2010. On November 1, 2010, Lovato left the tour after a dispute arose to the public light involving her apparently punching one of the dancers of the tour. After Lovato left, she was interned in a treatment center to seek out help. Context_4 : The Wonder World Tour is the second concert tour by American recording artist Miley Cyrus. The tour was held to promote her second studio album "Breakout" (2008) and first extended play (EP) "The Time of Our Lives" (2009). It began in September 2009 and concluded in December 29, visiting cities in the United States and United Kingdom; thus, the Wonder World Tour became Cyrus' first world tour. It also became Cyrus' first tour not to incorporate performances as Hannah Montana, although "Let's Get Crazy", an official Hannah-song, was performed. Alternative band Metro Station served as opening act for all tour venues. It was sponsored by Wal-Mart and promoted by AEG Live. All tickets from the Wonder World Tour were sold using paperless ticketing, in order to prevent ticket scalping similar to what had occurred during Cyrus' previous tour. One dollar from each ticket sold was donated to the City of Hope National Medical Center, an organization devoted to the fight against cancer. Context_5 : The Rock The Nation World Tour was a concert tour by the hard rock group Kiss. ZO2 and Poison were the opening bands. The tour marked the return of Eric Singer on the drums, who once again replaced Peter Criss, whose contract was not renewed by Gene Simmons and Paul Stanley. While attendance was not what the previous tour had been, it still averaged 8,900 on the American leg of the tour while grossing $20 million. Kiss would not tour in 2005 due to Paul Stanley's hip replacement. Context_6 : Gene Klein, born Chaim Witz (Hebrew: חיים ויץ , ] , born August 25, 1949), known professionally as Gene Simmons, is an Israeli-American musician, singer, songwriter, record producer, entrepreneur, actor and television personality. Also known by his stage persona The Demon, he is the bass guitarist and co-lead singer of Kiss, the rock band he co-founded with rhythm guitarist Paul Stanley in the early 1970s. Context_7 : The "Running Man" (aka The Hungry Caterpillar), originally an African dance, is a street and fad dance that originated between late 1986–early 1987 and was performed notably by Janet Jackson in the video of her hit "Rhythm Nation" and subsequently on the Rhythm Nation World Tour and various live performances. It was first performed in a Fela Kuti concert called "Cross Examination" by one of his back-up dancers/ex-wife in Berlin in 1978. Additionally, it was performed by MC Hammer, Bobby Brown, Milli Vanilli, and Vanilla Ice during their live concert shows and music videos, but achieved renewed popularity in the 2000s. It is also used in some forms of the Melbourne Shuffle dance style. It consists of a hopping or sliding step done in such a way at speed to simulate a runner. Context_8 : The Rhythm Nation World Tour 1990 was the first headlining concert tour by American recording artist Janet Jackson. It was launched in support of her fourth studio album "Janet Jackson's Rhythm Nation 1814" (1989), and also contained material from her third studio album "Control" (1986). Jackson's record label A&M announced plans for the world tour in fall of 1989, following the release of "Rhythm Nation 1814". Managed by Roger Davies and Rusty Hooker, the tour was developed by musical director Chuckii Booker, choreographer Anthony Thomas, stage designer Roy Bennett, stage manager Chris Tervit, production manager Benny Collins, and Jackson herself. Context_9 : The Kiss Alive/35 World Tour was a concert tour by Kiss to celebrate Kiss's 35th anniversary. It was the band's first major tour since the Rock the Nation World Tour in 2004. On the tour, Kiss played in New Zealand for the first time since the Alive/Worldwide Tour in 1997, as well as performing in Europe for the first time since the Psycho Circus World Tour in 1998–1999. Kiss wore "Destroyer"-themed costumes for the tour, and on the European leg the majority of the songs played were on "Alive!". The tour was highly successful and proved to be Kiss's biggest tour of Europe. This tour marked the first time Kiss visited Bulgaria, Greece, Latvia, Russia, Luxembourg, Colombia, Peru and Venezuela. Context_10 : American singer Beyoncé has embarked on six concert tours during her solo career, four of which have been worldwide and two of which have been collaborative. Her solo tour debut (whilst on hiatus with Destiny's Child) began in 2003, with the Dangerously in Love Tour. Based predominantly in the United Kingdom, the tour received an unfavorable review from Dave Simpson of "The Guardian" based on Beyoncé's costumes and a confusion of her core audience at the time. In 2007, she embarked on her first major solo world tour – The Beyoncé Experience, following Destiny's Child's disbandment in 2005. The tour visited five continents and Beyoncé was lauded by music journalism for her simultaneous dancing and singing abilities. Following the release of her 2008 third studio album "I Am... Sasha Fierce", Beyoncé embarked on her next world concert venture, the I Am... World Tour. She collaborated with Thierry Mugler exclusively for the tour's costumes. The I Am... World Tour also marked the first time Beyoncé had performed in South American countries. Beyoncé saw her most commercially successful tour to date with 2013-2014's The Mrs. Carter Show World Tour. Grossing US $229,727,960, the 132 date venture was criticised for the name of the tour, as Beyoncé appeared to be letting herself be known as simply Shawn "Jay-Z" Carter's wife, despite being proclaimed as a "modern-day feminist". The tour itself however was lauded by music critics, who again praised Beyoncé's performance abilities and the more advanced production seen compared to her previous tours. fact_1 : The Rock The Nation World Tour was a concert tour by the hard rock group Kiss. fact_2 : Also known by his stage persona The Demon, he is the bass guitarist and co-lead singer of Kiss, the rock band he co-founded with rhythm guitarist Paul Stanley in the early 1970s. Answer: early 1970s
Solution: | When was the band that performed The Rock The Nation World Tour founded? | 0 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6973507404327393,
0.4010049104690552,
-0.9036645889282227,
0.89146888256073,
0.5780225992202759,
-0.05887802317738533,
0.7222220301628113,
0.46643805503845215,
-0.15784725546836853,
0.5036911964416504,
-0.01901327632367611,
0.48056700825691223,
-0.8366755247116089,
0.01653653383255005,
... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Example: Question: What term refers to a list of the elements that will replace the ones below them in single-replacement reactions? Answer: activity series
Example solution: A list called the activity series does the same thing the periodic table does for halogens: it lists the elements that will replace elements below them in single-replacement reactions.
Example explanation: This is a valid supporting statement since it connects both the answers and question to generate the supporting fact
Problem: Question: In how many ways ca a living organism obtain chemical energy Answer: two
| Solution: Living organisms obtain chemical energy in one of two ways. | 5 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
1.0156697034835815,
0.18926458060741425,
-0.7188320159912109,
-0.10337807238101959,
-0.21744970977306366,
-1.6572240591049194,
0.26316776871681213,
0.6453230977058411,
-0.3128453195095062,
-0.25439006090164185,
-0.7400676012039185,
-0.16434408724308014,
-0.7382254004478455,
-0.040819618850... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Let me give you an example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
The answer to this example can be: made
Here is why: The output relationship - made, is a correct verb form of the given relationship - make, and it is also used in the given sentence
OK. solve this:
Given Relationship: 'meet in', Sentence: 'There will be no Board Meeting in December .'
Answer: | Meeting | 8 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.14596492052078247,
1.5918890237808228,
-0.2937370538711548,
0.0450720340013504,
-0.5472341179847717,
-0.30177199840545654,
0.06902721524238586,
0.5341981053352356,
-0.15234771370887756,
-0.25448793172836304,
-0.43609148263931274,
0.8124369382858276,
-0.4392905831336975,
0.39947262406349... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
ولأننا نقوم بالطي على الحاسوب ، نحن متحررون تماما من أي قيود مادية.
A: | و از آنجائیکه تا کردن را از طریق کامپوتر انجام می دهیم ، کاملا "" رها از هر گونه موانع فیزیکی هستیم. | 7 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
0.2861185073852539,
0.7831714153289795,
-0.3737463057041168,
-0.10198552161455154,
-0.3258231282234192,
0.5281280875205994,
0.6767523288726807,
0.4331832826137543,
1.7600055932998657,
0.014813730493187904,
-0.6309289932250977,
0.24299314618110657,
0.38449373841285706,
0.3115859031677246,
... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Example: Premise: و شما می دانید مردم می گویند که می دانید فرستادن بچه ها به کالج گران است ، اما اگر همه مسئولیت کمی را بر عهده داشته باشند می دانید که هزینه آن در حدود پانصد دلار در هر ترم است ، فرض کنید که به یک کالج ایالتی بروند و در خانه زندگی کنند <sep> Hypothesis: مردم می گویند کالج گران است.
Example solution: Entailment
Example explanation: This is a good example, and the hypothesis sentence entails the given premise sentence.
Problem: Premise: به خصوص به عنوان آخرین مرکز آموزش برای مشهورترین ساکنان این شهر ، گیشا مشهور است. <sep> Hypothesis: گیشا هرگز در آنجا آموزش ندیده است.
| Solution: Contradiction | 5 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.661051869392395,
0.29766616225242615,
0.34108999371528625,
0.09648182988166809,
-0.23914256691932678,
-0.6017755270004272,
0.9545285701751709,
0.49081599712371826,
0.5638200044631958,
-0.22990690171718597,
-0.7963850498199463,
0.5691810250282288,
-0.20648524165153503,
0.0501246266067028... |
Definition: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Input: Title: Dreams. Sentence 1: Then her mom stopped allowing her to watch horror movies. Sentence 2: Ella had a lot of bad dreams. Sentence 3: After a few weeks, she even started having happy dreams! Sentence 4: Soon Ella had stopped waking up with night terrors. Sentence 5: Ella realized the horror movies had been hurting her.
Output: | 21435 | 2 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.4949948489665985,
0.022519007325172424,
0.8042277097702026,
-0.5602278709411621,
-0.23348703980445862,
0.313371866941452,
0.06393127143383026,
0.45698702335357666,
-0.04213176295161247,
-0.1305488497018814,
-0.7369644045829773,
-0.34586188197135925,
-0.38847142457962036,
-0.185056835412... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
One example is below.
Q: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
A: He is happy now.
Rationale: As mentioned in last sentence, the incident turned a new leaf to Rick's life; this part completes the story properly.
Q: Sentence1: Kelly found out there was a new girl at school. Sentence2: When she walked into the school she went looking for her. Sentence3: When she met her, she invited her to sit with her at lunch. Sentence4: When they ate lunch, the girls became friends.
A: | Kelly was happy to have made a new friend. | 9 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.03315586596727371,
1.1335277557373047,
-0.06964056193828583,
-0.9292612671852112,
-0.19676588475704193,
-0.4236970543861389,
0.43536776304244995,
0.5983144640922546,
0.4946064352989197,
0.15988311171531677,
0.03149433806538582,
-0.20118044316768646,
-0.5532305240631104,
0.35397160053253... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Example: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Output: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
The Farsi sentence is correctly translated into Spanish, because the meaning is preserved.
New input case for you: می دونم خیلی از شما رو می ترسونه اما قصد منم همین بود.
Output: | Sé que eso puede asustar a varios de ustedes, pero ese era mi propósito. | 1 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.6051179766654968,
0.5923686027526855,
-0.30220699310302734,
0.13178572058677673,
-0.35799938440322876,
0.1325123906135559,
0.15940767526626587,
0.7187311053276062,
-0.3618640899658203,
-0.4808681607246399,
-0.6296496987342834,
0.34077805280685425,
0.07167185842990875,
-0.147957250475883... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Amid all the rancor and heated debate, Casey felt like talking.
Answer: make their point on the matter | What will happen to Casey? | 0 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.772018313407898,
0.9093189239501953,
0.06085866689682007,
-0.18732905387878418,
0.18684497475624084,
-0.16598497331142426,
0.18414299190044403,
0.12617307901382446,
0.673814594745636,
0.2236582636833191,
-0.4526347517967224,
-0.09324754774570465,
-1.1977657079696655,
0.4727156162261963,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
彼を「ビル」と呼ぶことにしましょうもし50年前に戻ればビルもテッドもほぼ同じような暮らしをしていました | سندعوه "" بيل "". إن عدنا بالزمن 50 سنة مضت ، سيكون ل "" تيد "" و "" بيل "" حياة متشابهة. | 0 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.2782205641269684,
0.4592842161655426,
-0.19640497863292694,
-0.5453218817710876,
0.7152742147445679,
-0.3498491644859314,
1.513831615447998,
0.16868996620178223,
0.3147667944431305,
0.5363379716873169,
-0.12702275812625885,
0.01074011716991663,
-0.9908896684646606,
0.26740241050720215,
... |
Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM, finding probabilities etc. Each question has only one correct answer. This answer can be a positive or negative integer, a fraction or a decimal number. If the answer is a negative number use the hyphen (e.g. -42) symbol for the minus sign. For decimal numbers, do not add extra zeros after the decimal point. For fractional numbers, separate the numerator and denominator using a forward slash (e.g. 3/25).
Input: -87 divided by 8
Output: | -87/8 | 3 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.3743990361690521,
0.26548635959625244,
-0.3936041295528412,
-0.7558525800704956,
0.17439070343971252,
-0.5385404825210571,
1.0641863346099854,
0.5314865112304688,
-0.0621931329369545,
-0.5809065103530884,
-0.7978125810623169,
0.1500418335199356,
-0.11653555184602737,
0.2748284339904785,... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Q: [-14, -3, -12, -82, -89]
A: [11, 9, 70, 7]
****
Q: [-44, 39, 62, 57, -57, 54, 95, -100, 22, 64, 52, 5, 17, 54, -43]
A: [83, 23, 5, 114, 111, 41, 195, 122, 42, 12, 47, 12, 37, 97]
****
Q: [48, 92, 25, 85, -93, 58, 83]
A: | [44, 67, 60, 178, 151, 25]
****
| 4 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.5933464169502258,
0.48196643590927124,
-0.332182377576828,
-0.2705611288547516,
-0.3339522182941437,
-0.1743176132440567,
0.888637125492096,
0.3950673043727875,
0.1747126281261444,
-0.44052356481552124,
-0.29017943143844604,
-0.31609562039375305,
-0.024100136011838913,
-0.08469265699386... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: come on , boy . tell me .
A: بجنب پسر به من بگو .
****
Q: oh , ill work , maybe on a farm . fix my house .
A: شايد برم در يک مزرعه كار كنم يا خونه ام را تعمير كنم .
****
Q: its all dark out here .
A: | همه جا تاريكه .
****
| 4 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.4935523271560669,
1.1315112113952637,
-0.353193074464798,
-0.147121861577034,
-0.7079544067382812,
-0.2850651741027832,
0.6067861318588257,
1.0131847858428955,
0.003393207211047411,
0.33625727891921997,
-0.7899738550186157,
0.6192384958267212,
-0.24748262763023376,
0.2111160159111023,
... |
TASK DEFINITION: This task is about translating a given English language sentence to Yoruba language.
PROBLEM: Floodwaters destroyed three of our brothers’ homes and damaged four.
SOLUTION: Àkúnya omi náà wó ilé mẹ́ta, ó sì ba ilé mẹ́rin tó jẹ́ ti àwọn ará wa jẹ́.
PROBLEM: “We are looking at Port Harcourt if by then we are unable to complete work at the stadium here in Abuja.
SOLUTION: Ní báyìí, A ń wo pápá ìṣeré ìlú Port Harcourt, tí àtúnṣe pápá ìṣeré ìlú Abuja kò bá tíi parí.
PROBLEM: We will continue to pray that Jehovah give his unfailing support to Dennis Christensen, his wife, and all of our fellow worshippers throughout Russia.—1 Peter 3:12.
SOLUTION: | Àdúrà wa ni pé kí Jèhófà wà pẹ̀lú Arákùnrin Dennis Christensen àti ìyàwó rẹ̀. Kó sì tún dúró ti gbogbo àwọn ará wa lórílẹ̀-èdè Rọ́ṣíà.—1 Pétérù 3:12.
| 8 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.26388776302337646,
0.6972970366477966,
-0.3776260018348694,
-0.4497644603252411,
-0.01970554329454899,
-0.23330959677696228,
0.9552614092826843,
0.1597869098186493,
0.17933428287506104,
-0.3208875358104706,
-0.4434199333190918,
0.557325541973114,
-1.11781644821167,
-0.41663867235183716,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
One example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution is here: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Explanation: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: 多くの地域では存在すらしていません
Solution: | و در خیلی از محل ها ، اصلا وجود ندارد. | 6 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.6658971309661865,
0.865877628326416,
-0.10429716855287552,
-0.4936727285385132,
-0.7689152956008911,
-0.2790575325489044,
1.2278220653533936,
0.14862245321273804,
0.057353146374225616,
-1.0458570718765259,
-1.2146923542022705,
0.459968626499176,
-1.4116170406341553,
0.41301289200782776,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
そこは「常に危険な底辺校」と分類されていましたテストのスコアが低く武器やドラッグの持ち込み暴行、逮捕事件が多いのです
הוא תויג כ ״ בעל רמת השגיות נמוכה ומסוכן בעקביות ״ הודות לרמת הציונים הנמוכה שלו ומספר גבוה של כלי נשק, סמים, תקיפות ומעצרים.
死傷率は下がりましたが
כתוצאה, אחוז הנופלים ירד.
自ら実験台にもなりました
| התנסינו על עצמנו.
| 0 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.21439257264137268,
-0.2851867079734802,
0.08844102919101715,
-0.44559937715530396,
-0.17963726818561554,
-0.1713687926530838,
0.7834227085113525,
0.9223836660385132,
0.20860514044761658,
-0.29576563835144043,
-0.8762097358703613,
0.26523280143737793,
-0.769438624382019,
0.10368508845567... |
Part 1. Definition
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Part 2. Example
when are hops added to the brewing process?
Answer: The boiling process
Explanation: The answer is correct because, at the end of the boil, solid particles in the hopped wort are separated.
Part 3. Exercise
who sings the theme song for the tv show monk
Answer: | Randy Newman | 7 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
0.13416752219200134,
0.4608747363090515,
-0.21979019045829773,
0.3362482786178589,
-0.3671218752861023,
-0.8095314502716064,
1.0907458066940308,
0.31012067198753357,
-0.22136862576007843,
-0.5533541440963745,
-0.6800121068954468,
0.06165824830532074,
-0.5969760417938232,
-0.084654241800308... |
Given the task definition and input, reply with output. You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Patricia and her classmates are visiting different rocky areas in the city. They want to know what kind of rocks can be found in each area. If the investigation is done correctly, what will Patricia and her classmates do each time they visit an area?
(A) draw the rock shapes (B) count the rock numbers (C) record the rock types and locations (D) measure the rock masses and lengths
| C | 5 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.15722061693668365,
0.8667859435081482,
-0.5191441774368286,
-0.46123701333999634,
-0.4832875728607178,
-0.48070403933525085,
0.5836533308029175,
0.2176465094089508,
0.38942229747772217,
-0.33930733799934387,
-0.5666893124580383,
0.5495758056640625,
0.43920189142227173,
-0.376191198825836... |
Instructions: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Input: Context_1 : Nicholas Kenneth Robinson (born 9 February 1946) is an Irish author, historian, solicitor and cartoonist. He is the husband of Mary Robinson, the former United Nations High Commissioner for Human Rights and seventh President of Ireland. He was educated at Trinity College Dublin, where he took a degree in Law. Context_2 : The Patrick Kavanagh Centre (Patrick Kavanagh Rural And Literary Resource Centre) is located in Inniskeen, County Monaghan, Ireland. It is set up to commemorate the poet Patrick Kavanagh who is regarded as one of the foremost Irish poets of the 20th century. He was born in Mucker townland Inniskeen. It is located in the former RC St. Mary's church (which dates from 1820) in whose adjoining graveyard Kavanagh and his wife are buried. The centre was developed by the Inniskeen Enterprise Development Group and was opened by President Mary Robinson in 1994. Context_3 : Mary Robinson (1778 – 7 February 1837) was known as "The Maid of Buttermere" and is mentioned in William Wordsworth's "The Prelude". She is the subject of Melvyn Bragg's 1987 novel "The Maid of Buttermere", which was adapted into a play by Lisa Evans and premiered at Keswick's Theatre by the Lake in 2009. Context_4 : Mary Blair (October 21, 1911 – July 26, 1978), born Mary Robinson, was an American artist who was prominent in producing art and animation for The Walt Disney Company, drawing concept art for such films as "Alice in Wonderland", "Peter Pan", "Song of the South" and "Cinderella". Blair also created character designs for enduring attractions such as Disneyland's It's a Small World, the fiesta scene in El Rio del Tiempo in the Mexico pavilion in Epcot's World Showcase, and an enormous mosaic inside Disney's Contemporary Resort. Several of her illustrated children's books from the 1950s remain in print, such as "I Can Fly" by Ruth Krauss. Blair was inducted into the prestigious group of Disney Legends in 1991. Context_5 : Mary Robinson (née Darby; 27 November 1757? – 26 December 1800) was an English actress, poet, dramatist, novelist, and celebrity figure. During her lifetime she was known as "the English Sappho". She earned her nickname "Perdita" for her role as Perdita (heroine of Shakespeare's "The Winter's Tale") in 1779. She was the first public mistress of King George IV while he was still Prince of Wales. Context_6 : The International Encyclopedia of Human Geography is a 2009 academic reference work covering human geography. The editors-in-chief are Rob Kitchin and Nigel Thrift and it contains a foreword by Mary Robinson. Context_7 : The Mary R. Koch was a 274.330 Mt combined ore carrier and oil tanker. The ship was named after Mary Robinson Koch, wife of American industrialist Fred C. Koch. Context_8 : Mary Patricia McAleese ( ; née Leneghan; Irish: "Máire Pádraigín Mhic Ghiolla Íosa" ; born 27 June 1951) is an Irish Independent politician who served as the 8th President of Ireland from November 1997 to November 2011. She was the second female president and was first elected in 1997 succeeding Mary Robinson, making McAleese the world's first woman to succeed another as president. She was re-elected unopposed for a second term in office in 2004. McAleese is the first President of Ireland to have come from either Northern Ireland or Ulster. Context_9 : William Shakespeare ( ; 26 April 1564 (baptised) – 23 April 1616) was an English poet, playwright, and actor, widely regarded as the greatest writer in the English language and the world's pre-eminent dramatist. He is often called England's national poet, and the "Bard of Avon". His extant works, including collaborations, consist of approximately 38 plays, 154 sonnets, two long narrative poems, and a few other verses, some of uncertain authorship. His plays have been translated into every major living language and are performed more often than those of any other playwright. Context_10 : Edna O'Brien (born 15 December 1930) is an Irish novelist, memoirist, playwright, poet and short story writer. Philip Roth has described her "the most gifted woman now writing in English", while former President of Ireland Mary Robinson has cited her as "one of the great creative writers of her generation." fact_1 : She earned her nickname "Perdita" for her role as Perdita (heroine of Shakespeare's "The Winter's Tale") in 1779. fact_2 : He is often called England's national poet, and the "Bard of Avon". Question: Mary Robinson's nickname was "Perdita". What was the nickname of the playwright who wrote the play that character is from?
Output: | the Bard of Avon. | 3 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.3785198926925659,
0.869890034198761,
-0.4938466250896454,
-0.016327040269970894,
0.7076965570449829,
-0.322223961353302,
0.5979350209236145,
0.5476511716842651,
0.2797390818595886,
0.20053361356258392,
-0.21080824732780457,
0.7892874479293823,
-0.8723996877670288,
0.282918781042099,
-0... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
Let me give you an example: Но мне ужасно грустно , и плохо.
The answer to this example can be: surprise
Here is why: The input text states 'But I'm terribly sad and bad'. There is an emotion of 'sadness' in the input text. So, 'surprise' is an incorrect emotion label.
OK. solve this:
— Она вбежала прямо в воду, но гиппопотамы, как ни странно, попытались спасти ее и вытолкнули на берег».
Answer: | fear | 8 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.8318578004837036,
0.10079021751880646,
0.5041812062263489,
-0.3336919844150543,
-0.10925199091434479,
-1.015167474746704,
0.05866201967000961,
1.1472516059875488,
-0.16454654932022095,
0.07951830327510834,
-0.42037543654441833,
-0.24668659269809723,
-0.21961179375648499,
-0.123691663146... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
Input: শ্রীমদ্ রাজচন্দ্রজির সার্ধ শত জন্মবার্ষিকী প্রসঙ্গে এই মহাপুরুষের অবদানের কথাও প্রসঙ্গত স্মরণ করেন তিনি।
Output: | Recalling the contributions of Shrimad Rajchandraji on his 150th birth anniversary, Prime Minister Modi called for further academic research on his life and thoughts. | 3 | NIv2 | task995_pib_translation_bengali_english | zs_opt | [
-1.020110011100769,
0.8387985229492188,
-0.3975650668144226,
-0.06362070143222809,
-0.5130137801170349,
-1.2815608978271484,
1.1171271800994873,
-0.4865249693393707,
-0.05748150497674942,
-0.6057978868484497,
-0.6422446370124817,
0.3655046820640564,
-0.37047624588012695,
0.6129993200302124... |
In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you think the given correct answer is good, indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible: "Yes" and "No".
Input: Consider Input: Paragraph- Sent 1: A stranger in town meets pretty young Susan Martinez De La Cruz and accompanies her to a barbecue , where wealthy Jason Carberry is saying a few words for the recently departed Robin Randall , a citizen who got shot .
Sent 2: Jason objects to the stranger 's presence , being Susan 's guardian and protective of her .
Sent 3: He challenges him to a shootout , but the stranger pulls his pistol before Jason 's can even clear the holster .
Sent 4: Calaveras Kate , a saloon singer who 's in love with Jason , is relieved when the stranger declines to pull the trigger .
Sent 5: Rafael Moreno suddenly rides into town and picks a fight with the stranger .
Sent 6: Their brawl continues until the arrival of Judge Wallace Wintrop and his niece , Sheila , who have come to town from back East and deplore all this random violence out West .
Sent 7: The stranger is recognized as Reb Randall , the dead man 's brother .
Sent 8: He is looking for the killer , who could be Rafael , or could be Jason , or could even be Billy Buckett , the coward of the county .
Sent 9: The women hold their breath to see if the men they love will survive .
Question: Who are the people suspected to have killed Robin Randall?
Correct Answer: Billy Bucket.
Output: Yes.
Input: Consider Input: Paragraph- Sent 1: A stranger in town meets pretty young Susan Martinez De La Cruz and accompanies her to a barbecue , where wealthy Jason Carberry is saying a few words for the recently departed Robin Randall , a citizen who got shot .
Sent 2: Jason objects to the stranger 's presence , being Susan 's guardian and protective of her .
Sent 3: He challenges him to a shootout , but the stranger pulls his pistol before Jason 's can even clear the holster .
Sent 4: Calaveras Kate , a saloon singer who 's in love with Jason , is relieved when the stranger declines to pull the trigger .
Sent 5: Rafael Moreno suddenly rides into town and picks a fight with the stranger .
Sent 6: Their brawl continues until the arrival of Judge Wallace Wintrop and his niece , Sheila , who have come to town from back East and deplore all this random violence out West .
Sent 7: The stranger is recognized as Reb Randall , the dead man 's brother .
Sent 8: He is looking for the killer , who could be Rafael , or could be Jason , or could even be Billy Buckett , the coward of the county .
Sent 9: The women hold their breath to see if the men they love will survive .
Question: How many total people were against the stranger?
Correct Answer: five.
Output: Yes.
Input: Consider Input: Paragraph- Sent 1: Dirk Diggler was born as Steven Samuel Adams on April 15 , 1961 outside of Saint Paul , Minnesota .
Sent 2: His parents were a construction worker and a boutique shop owner who attended church every Sunday and believed in God .
Sent 3: Looking for a career as a male model , Diggler dropped out of school at age 16 and left home .
Sent 4: He was discovered at a falafel stand by Jack Horner .
Sent 5: Diggler met his friend , Reed Rothchild , through Horner in 1979 while working on a film .
Sent 6: Horner slowly introduced Diggler to the business until he became noticeable within the industry .
Sent 7: Diggler became a prominent model and began appearing in pornographic films , after which his career took off .
Sent 8: He had critical and box office hits which led him to stardom .
Sent 9: The hits and publicity led to fame and money which led Diggler to the world of drugs .
Sent 10: With the amount of money Diggler was making he was able to support both his and Rothchild 's addictions .
Sent 11: The drugs eventually caused a breakup between Diggler and Horner since Diggler was having issues with his performance on set .
Sent 12: After the breakup Diggler tried to make a film himself but the film was never completed .
Sent 13: He then attempted a music career which was also successful but led him deeper into drugs because of the amount of money he was making .
Sent 14: He then starred in a TV show which was a failure both critically and commercially .
Sent 15: Having failed and with no work , Diggler returned to the porn industry taking roles in low-budget homosexual films to help support his habit .
Question: Did dirk have successful endeavors in music and television?
Correct Answer: yes.
| Output: No.
| 2 | NIv2 | task056_multirc_classify_correct_answer | fs_opt | [
0.47034236788749695,
0.5915836691856384,
-0.34040528535842896,
-0.05077018588781357,
0.3680567741394043,
-0.36639654636383057,
0.7849887609481812,
0.9436675310134888,
0.003942768555134535,
0.09219624847173691,
-0.6452255249023438,
0.8484625816345215,
-0.6251416206359863,
0.0977771878242492... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Example Input: Context: .@eliselabottcnn gives us an inside look aboard @Netanyahu's plane as he heads to DC for his speech to Congress The Situation Room (@CNNSitRoom) March 1, 2015 Question: why was netanyahu going to dc?
Example Output: to give a speech to congress
Example Input: Context: In college, I named my bass guitar Natalie! As a young stand up comic I opened for Natalie Cole. She was all that, in all ways! [ RIP ]— Arsenio Hall (@ArsenioHall) January 1, 2016 Question: what did arsenio hall name his bass guitar?
Example Output: natalie
Example Input: Context: cnni Even your #havingitall is judgmental!#Mayer has a womb and a brain, and she uses both. That's what most working mothers do— Ayo Obe (@naijama) July 19, 2012 Question: what hashtag does ayo find offensive?
Example Output: | #havingitall
| 3 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.1422128975391388,
0.03255102410912514,
-0.5592963695526123,
0.7699439525604248,
-0.13695856928825378,
-0.7630667090415955,
0.40377843379974365,
0.3187851905822754,
0.13940638303756714,
1.1637427806854248,
-0.4549662470817566,
0.012746913358569145,
-0.7516897916793823,
-0.0223710648715496... |
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.
Q: 2, 15, ['y', '5591', '6581', '7619', '4615', 'S', '5113', '3245', 'q', 'U', '4549', 'v', 'q', '1983', 'b', '3921']
A: 5591658176194615S51133245qU4549vq1983b
****
Q: 12, 17, ['d', '5563', 'F', '3413', '7779', 'c', '5087', 'Y', '2703', '5531', 'Q', '8851', 'z', '4719', 'l', 'P', '2283', 'H', '2983']
A: 8851z4719lP2283
****
Q: 1, 3, ['6819', '6125', '3755']
A: | 681961253755
****
| 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.0023419370409101248,
-0.007876130752265453,
-0.4227438271045685,
-0.33975711464881897,
-0.2359997034072876,
-0.3797772526741028,
0.8786382079124451,
0.40516799688339233,
-0.46111974120140076,
0.0286834929138422,
-0.740288257598877,
0.3651067614555359,
-0.07504044473171234,
-0.01601366698... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: アサド政権は、僅かな譲歩と力で、抗議者らと対面した。
A: | Ang pamahalaang Assad ay umani ng protesta na may halong bahagyang konsesyon at puwersa. | 4 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.2643476128578186,
0.38307487964630127,
0.2729700207710266,
-1.015819787979126,
-0.23690596222877502,
-1.054274320602417,
0.41542911529541016,
0.5871490240097046,
-0.033028289675712585,
0.17768648266792297,
-0.8212922811508179,
-0.20147840678691864,
-1.0742149353027344,
0.6414929032325745... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Example: Comment: your posts shows you are stupid period
Output: Insult
This comment is insult because it is scornful and disrespectful.
New input case for you: Comment: I think we have to remember that this Motion is a long way from mandating behaviour. We should also remember that for some reason every year there are a number of instances involving the Jewish faith and people , but there is no Motion on this before Parliament.If people are discriminated against be they Muslims, Jews, etc we have laws to deal with this, without adding a further layer for a specific group. Every year, someplace in Canada, Christian cemeteries are vandalized, which seems on par with the graffiti at mosques across this country. We deal with this without divising a specific strategy for a specific group. As I said from the outset mandating behaviour towards a specific religion, is not I believe the goal of this committee. If it is, it will change before it ever is finalized.
Output: | Non-insult | 1 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.02338666468858719,
0.2038518339395523,
0.2821887731552124,
0.49242109060287476,
0.3716902732849121,
-0.21893756091594696,
1.1221280097961426,
1.084139108657837,
0.07000118494033813,
0.6421905159950256,
0.43574872612953186,
0.5570355653762817,
-0.1510259360074997,
-0.4212605953216553,
... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Passage: Born August 18, 1976 in Wetzlar, Germany, Mootz served an apprenticeship in classical music and was a member of the boy's choir of Windsbach. After studying music engineering at the SAE Institute, Mootz worked with the experimental hip hop/illbient label Chrome, an offshoot of Force Inc Music Works. Over the course of several drum and bass albums and many singles, and as A&R manager for Chrome, later renamed Position Chrome, Panacea became known for pushing the bounds of the drum and bass genre into industrial and hardcore territory, and for energetic DJ sets which fused these genres in a live setting. With his side project m, he explored a more minimal side of electronic music, first in the realm of clicks 'n' cuts, and later in the dark ambient territory pioneered by the likes of Lustmord. Mootz lives and produces in Sommerhausen, a countryside town near Würzburg.
Link Information: It was founded in 1976 Answer: 1976 | What was the founding year of the place where Mootz studied music engineering? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.6588430404663086,
0.6401621699333191,
-0.16060008108615875,
0.47227275371551514,
0.1291523575782776,
0.33592721819877625,
0.5580342411994934,
0.7165977358818054,
-0.009008005261421204,
0.3165481686592102,
-0.05471985042095184,
0.4223376512527466,
-0.877481997013092,
-0.24424731731414795,... |
Definition: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Input: When she didn't comment, he poked at the food, eating to have something to do.
Output: | Original | 2 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.7379618883132935,
0.00646009249612689,
0.6390292644500732,
0.36997824907302856,
0.1371442824602127,
0.6166074275970459,
0.6401808261871338,
0.43460601568222046,
0.40729957818984985,
-0.10259715467691422,
-0.9625244736671448,
-0.6591620445251465,
-0.5167542099952698,
0.14812415838241577,... |
Q: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
who is the actress that plays dabby on disjointed
A: | Betsy Sodaro | 7 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.03790808096528053,
0.6675901412963867,
-0.31948286294937134,
-0.33325499296188354,
-0.45024603605270386,
-0.17930981516838074,
1.3540525436401367,
0.48345285654067993,
0.7061735987663269,
0.3863248825073242,
0.1401132494211197,
0.20367199182510376,
0.008234001696109772,
-0.1137705892324... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Example: Comment: your posts shows you are stupid period
Example solution: Insult
Example explanation: This comment is insult because it is scornful and disrespectful.
Problem: Comment: Moron!!
Dumb Moron!.
| Solution: Insult | 5 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.8039952516555786,
0.8951005339622498,
0.9612290859222412,
0.1287667602300644,
0.08858221769332886,
-0.06656546890735626,
0.47357919812202454,
0.5863951444625854,
0.26155203580856323,
0.2595825493335724,
0.19932761788368225,
0.13486570119857788,
-0.6077255010604858,
-0.7471299171447754,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
One example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had gone inside the store and now has fruit.
Solution is here: Tom had not been in the store.
Explanation: The given sentence contradicts sentence 1 (i.e. they can not be correct at the same time.)
Now, solve this: Sentence 1: Some women and children sitting on a bench on a sidewalk. Sentence 2: Some women and children are outside.
Solution: | Some women and children are playing basketball with their friends. | 6 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.31699883937835693,
0.702650249004364,
0.3848557472229004,
-0.5493298768997192,
0.42873984575271606,
-0.5579323768615723,
-0.12446999549865723,
0.822156548500061,
0.5648720264434814,
-0.11490914225578308,
-0.980749249458313,
-0.2568938732147217,
-0.7920005917549133,
-0.3264865577220917,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
[Q]: Comment: I don't see the point in arguing about the relative merits of Madonna, Beyonce and Lady Gaga. It's all really bad. Mediocre music + inane lyrics + semi-erotic dancing = musical garbage bin fire.
[A]: Insult
[Q]: Comment: "Patient"? Hell [says the vulture] let's go and KILL something!
[A]: Non-insult
[Q]: Comment: The problem with this theory is that if we want to hear a loud mouth idiot parent, we just have to go to the local or school arena, court or field.
[A]: | Insult
| 5 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.5301107168197632,
0.9815309047698975,
0.2912113070487976,
0.7520492076873779,
0.14163468778133392,
-0.14097186923027039,
0.3269641399383545,
0.911669135093689,
0.2407446801662445,
0.3469032049179077,
0.013225305825471878,
0.19458544254302979,
-0.23660632967948914,
-0.6970263123512268,
... |
Part 1. Definition
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Part 2. Example
Head: bed<sep>Tail: mattress
Answer: Yes
Explanation: This is a good example. The Head is made of the Tail.
Part 3. Exercise
Head: stomach<sep>Tail: gastroomental vein
Answer: | Yes | 7 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.7757022976875305,
0.4649110436439514,
-0.06193101778626442,
0.046729207038879395,
-0.5856608152389526,
-0.5573916435241699,
1.1412451267242432,
0.46520090103149414,
-0.6090115308761597,
-0.6396566033363342,
-0.5633009076118469,
-0.2608756721019745,
-0.6384652256965637,
0.1520968675613403... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
[EX Q]: Básicamente después de una conducta de baja frecuencia, una que el perro no quiera hacer, permitimos o le damos una de alta frecuencia, a veces conocida como "" problema "" o "" pasatiempo "", algo que al perro le guste mucho hacer.
[EX A]: Po zachowaniu rzadko wykonywanym, czyli tym, czego pies nie chce robić, zapewniamy zachowanie często występujące, często nazywane "" problemem "", albo "" psim hobby "" - coś, co pies lubi robić.
[EX Q]: Cada persona, cada elemento, tendrá algo que sera muy específico, y conectará a una representación específica de esa idea o elemento.
[EX A]: Każda osoba, każdy przedmiot, będzie mieć coś bardzo dla siebie charakterystycznego, przez co będzie powiązana z określonym przedstawieniem tego pojęcia lub przedmiotu.
[EX Q]: RM: Gracias. (JC: Muchas gracias, Reuben). (Aplausos)
[EX A]: | RM: Dziękuję. (JC: Dziękuję ci, Reuben.) (Brawa)
| 6 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.3340536057949066,
0.6433858275413513,
-0.4628085792064667,
-0.07014846056699753,
-0.3829728364944458,
-0.45379120111465454,
0.47119009494781494,
-0.3603627681732178,
-0.13536298274993896,
-0.2108302265405655,
-0.22879788279533386,
0.5763183832168579,
-0.24684542417526245,
0.223319157958... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Q: The second phase of this evolution — Yeah. (Applause) They deserve a hand. (Applause) The first phase is in getting better information in.
A: | 進化の第二段階 ！ イェー ！ （ 拍手 ） これは拍手に値します （ 拍手 ） 第一段階はより良い情報を手に入れることです | 4 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
0.05763303488492966,
0.025783423334360123,
0.20727777481079102,
0.33556264638900757,
0.16036999225616455,
-0.4290178716182709,
-0.39042794704437256,
0.6788767576217651,
0.6694586873054504,
-0.4456274211406708,
-0.06465035676956177,
-0.5443719625473022,
-0.34547311067581177,
0.2424333989620... |
Detailed Instructions: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Q: Steve McClaren has called the constant speculation linking him with Newcastle 'disrespectful' and insists his sole focus remains on trying to get Derby promoted to the Barclays Premier League. McClaren admitted there had been interest in him from Newcastle around the turn of the year, when Alan Pardew left as manager to take over at Crystal Palace. But with John Carver since appointed, the Rams head coach is reluctant to discuss the continuing reports. McClaren is understood to be one of two people on Newcastle's short list for the head coach role at St James' Park next season, according to reports in the North East. The other is thought to be Carver.Steve McClaren says Newcastle were interested in him to become their new manager after Alan Pardew left the club for Crystal PalaceThe former England boss is believed to be on the shortlist for the Newcastle job next termMcClaren is on course to reach the play-offs with Derby this season
Question:At the present moment _ doesn't interest me, I am not thinking about that.
A: | Steve McClaren | 9 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.48346105217933655,
0.6936768889427185,
-0.15982535481452942,
-0.5709420442581177,
0.25994253158569336,
-0.48600485920906067,
1.061487078666687,
-0.20296220481395721,
0.6776750087738037,
-0.025201551616191864,
0.34735479950904846,
0.8892361521720886,
-1.0296870470046997,
0.604388833045959... |
Detailed Instructions: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Q: Target: Norweigan
Vikings were technically Norweigan. People from this area are all white.
A: | stereotype | 9 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.5413445234298706,
0.29723086953163147,
0.2680225670337677,
0.3783511817455292,
0.03462575748562813,
-0.6765389442443848,
0.5282973051071167,
0.8976906538009644,
0.548379123210907,
-0.3661097288131714,
-0.028186392039060593,
-0.0687762200832367,
-0.6253823041915894,
-0.14430561661720276,... |
Detailed 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 will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX builds PersonY church<sep>Tail: loses money on building materials
A: | Yes | 9 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.4269956052303314,
0.6518186330795288,
0.16231952607631683,
0.08672037720680237,
-0.5913838148117065,
-1.0110418796539307,
1.183972716331482,
0.5430684089660645,
-0.3252297341823578,
-0.33350855112075806,
-0.20423175394535065,
-0.12550556659698486,
-0.7053289413452148,
0.22856616973876953... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.