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 |
|---|---|---|---|---|---|---|
Detailed Instructions: 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.
Problem:Sentence: 'a dozen glazed pastries each different and each glazed with different flavors'. How many words start with the letter 'd' in the sentence.
Solution: | 3 | 8 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
0.07393946498632431,
0.6597103476524353,
-0.17701241374015808,
-1.4286969900131226,
-0.563452422618866,
0.39437368512153625,
0.48889797925949097,
0.09659691900014877,
0.06761994957923889,
-0.8248146176338196,
-0.5502452850341797,
-1.0195797681808472,
-0.6723751425743103,
-0.020535482093691... |
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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 the Head causes 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.
Input: Head: faith<sep>Tail: action
Output: | Yes | 3 | NIv2 | task1216_atomic_classification_causes | zs_opt | [
0.19901198148727417,
0.275248646736145,
0.21877028048038483,
-0.07557354867458344,
-0.746499240398407,
-0.9610824584960938,
1.1700122356414795,
0.6921452283859253,
-0.5570104718208313,
-0.41138312220573425,
-0.47120970487594604,
-0.24603679776191711,
-0.613250732421875,
0.0489162914454937,... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Example: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \"fresh juice\" is really margarita mix on tap from the same gun as the sprite. I asked for something fresh to replace the horrible margarita and received a rocks glass with just muddled lime and a salted rim. I'm not sure it contained any tequila. Horrible! It's not that hard to make a fresh margarita!
Example solution: 2 stars
Example explanation: The writer has been annoyed in this place and has enjoyed the food. So, "2 stars" sounds reasonable for it.
Problem: As a born-and-bred native of the East Coast, I have never, up to this point, had food from an In-n-Out restaurant. We just don't have them here, never heard of them - unless it's from my West Coast friends, who have all raved for YEARS about the wonder that is supposed to be this food. So my husband and I are going to Vegas for a week, and I tell him, \"Before I do anything else, I want to go to In-n-Out. I want to find out what a freaking Double-Double Animal Style is. And the shakes. I want to know what's the big deal here. Take me there.\" \n\nMy husband just laughs at me. He's from Vegas. He knows what it's about. But he humors me anyway. Love that man.\n\nWe pull in. I run excitedly for the door. I'm about to taste this burger that everyone's been raving about. This is IT! I order the Double-Double Animal Style. The fries. The shake. This is going to blow thousands of calories - but it's worth it, they said!\n\nI sit at the impeccably clean table. I unwrap. Oh, it looks good. I pick up my burger, take that bite, and.....\n\nI was completely UNDERWHELMED. What the hell is THIS?\n\nDon't get me wrong. The burger was good. It tasted just fine. But....where is the manna from heaven I was expecting? Why does this just taste.... like a fast food burger, albeit a little better than Mickey D's or Burger King? And the shake tasted NO better than either of the aforementioned places. Matter of fact, I'd go so far as to say that Jack in the Box (another place we don't have on the East Coast) makes a much better shake.\n\nNow, I'm well aware that this review will be considered utter BLASPHEMY to In-n-Out fanatics. That's fine. I liked it - but the buildup is NOT warranted. \n\nThe restaurant was sparkling clean, which is a definite plus, and the service was good, so there's that.\n\nGood. But nothing more than that.
| Solution: 3 stars | 5 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.277345210313797,
0.3043886125087738,
-0.48636528849601746,
0.20149552822113037,
0.6056503057479858,
-0.5764816403388977,
0.6290851831436157,
1.3847379684448242,
0.058190278708934784,
-0.016238797456026077,
0.6534058451652527,
0.38099759817123413,
-0.6400406360626221,
0.11082977056503296,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Output: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
The Spanish sentence is correctly translated into Japanese, because the meaning is preserved.
New input case for you: Ya saben, nuestra capacidad de capturar las herramientas de la creación se acercan más y más.
Output: | 創造のツールを理解するための我々の能力はますます高まっています | 1 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.24880407750606537,
0.47406548261642456,
-0.3440305292606354,
0.13963466882705688,
-0.09213579446077347,
0.49730348587036133,
-0.31322625279426575,
0.5647944211959839,
-0.22504504024982452,
-0.5087308883666992,
-0.3698796331882477,
-0.42429131269454956,
-0.6432420015335083,
-0.4776206314... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Example: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Output: Lionel Messi is the greatest football player of all time
The output exactly translates the Somali sentence to it's English equivalent. Even though the phrase 'greatest player ever' is translated to 'greatest player of all time', the meaning remains the same.
New input case for you: Somali sentence: Wuxuu naagtii ku yidhi, "Ma Ilaah run ahaantii odhan, 'You Waxba ka cunin geed kasta oo garden' ah?"Markaasaa naagtii waxay abeesadii ku tidhi, "Waxaa laga yaabaa inaan ka cunin midhihii dhirtii beerta, laakiin Ilaah wuxuu ku yidhi, 'You Ma cuni doontaan midhaha geed ku jira beerta dhexdeeda ku, ama aydnaan taaban doonaa, waaba intaasoo aad die.' "Laakiin abeesadii naagtii ku yidhi, "Ma dhiman doono.
Output: | He said to the woman, “Did God actually say, ʻYou shall not eat of any tree in the gardenʼ?” And the woman said to the serpent, “We may eat of the fruit of the trees in the garden, but God said, ʻYou shall not eat of the fruit of the tree that is in the midst of the garden, neither shall you touch it, lest you die.ʼ” But the serpent said to the woman, “You will not surely die. | 1 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.39773720502853394,
0.7257112264633179,
-0.8740197420120239,
0.04147285595536232,
-0.15006262063980103,
-1.0133193731307983,
0.2524262070655823,
0.8373327255249023,
0.1482151597738266,
-0.5011376142501831,
-0.4607527256011963,
0.9392264485359192,
-0.8417927026748657,
0.016517091542482376... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
One example is below.
Q: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
A: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
Rationale: This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.
Q: ["I'm", 'back', 'with', 'my', 'webpage', 'about', 'dogs', 'and', 'I', 'am', 'very', 'determined', 'to', 'use', 'JavaScript', 'and', 'the', 'Dom', 'API', 'to', 'turn', 'it', 'into', 'a', 'webpage', 'entirely', 'about', 'cats', 'instead', 'there', 'is', 'an', 'elephant', 'in', 'the', 'room', 'that', "I've", 'been', 'ignoring', 'mmm', 'well', 'actually', "there's", 'a', 'dog', 'in', 'the', 'room', 'two', 'dogs', 'in', 'fact', 'these', 'images', 'I', "can't", 'have', 'images', 'of', 'these', 'adorable', 'dogs', 'on', 'my', 'page', 'about', 'adorable', 'cats', 'I', 'need', 'to', 'change', 'them', 'so', "let's", 'start', 'by', 'finding', 'the', 'images', 'using', 'get', 'elements', 'by', 'tag', 'name', 'bar', 'image', 'else', 'equals', 'document', 'dot', 'get', 'elements', 'by', 'tag', 'name', 'IMG', 'okay']
A: | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.27381831407546997,
-0.5361825227737427,
-0.3013567328453064,
0.3339594900608063,
0.2793562412261963,
-0.3878742456436157,
0.24532988667488098,
0.6999338269233704,
-0.7587134838104248,
-0.0017133736982941628,
0.13369454443454742,
-0.3186507821083069,
-0.5352606773376465,
0.176286995410919... |
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ఆయన 1905లో <MASK>లో మాతామహుల ఇంట జన్మించారు. తల్లి శ్రీమతి సీతమ్మ. ఆయనకు గల నలుగురు సోదరులూ సంగీత విద్వాంసులే. ఆయన పెద్ద అన్నయ్య వెంకటరావు, తమ్ముడూ హార్మోనియం నిపుణులే. వీరి పూర్వులది బందరు సమీపంలోని సమ్మెట గ్రామం. వారి తాతగారు హైదరాబాదు వలస వచ్చారు. తండ్రి రంగనాయకులు గారు పబ్లిక్ వర్క్స్ శాఖలోనూ, నిజాం నవాబు పాలెస్ వర్క్స్ లోనూ పనిచేసేవాడు, అనేక జ్యోతిష గ్రంథాలను రచించారు. అంబా ప్రసాద్ గారు చాదర్గాట్ హైస్కూలులో మెట్రిక్ చదివారు. చదువు చాలించి విద్యాశాఖలో గుమస్తాగా చేరారు. ఆ శాఖలో 21 సంవత్సరాలు పనిచేసారు. తరువాత మహాబూలియా గర్ల్స్ హైస్కూలులో సిరిస్తాదారుగా నాలుగేళ్ళు పనిచేసారు. పగలంతా ఉద్యోగం చేసి రాత్రిపూట మనో ఉల్లాసం కోసం హార్మోనియం సాధన చేసేవారు.
Option A: తణుకు
Option B: సల్కలాపూర్
Option C: హైదరాబాదు
Option D: మచిలీపట్నం | తణుకు | 0 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.8801472187042236,
0.8722425103187561,
-0.27502527832984924,
0.6865979433059692,
0.05713605508208275,
-0.5181034803390503,
0.1345990002155304,
0.8615583181381226,
0.37513476610183716,
-0.20960980653762817,
-0.5189812183380127,
0.11314284801483154,
-0.5559477210044861,
-0.8248947858810425,... |
Teacher:In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Teacher: Now, understand the problem? Solve this instance: Hypothesis: You shouldn't rat out other people.
Update: That person is your sibling.
Student: | strengthener | 6 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.2837814688682556,
0.5452396869659424,
0.20965111255645752,
0.3722115755081177,
-0.013967137783765793,
-1.2465147972106934,
0.801988959312439,
1.001083493232727,
0.27413785457611084,
-0.3963053822517395,
-1.0324509143829346,
-0.027719860896468163,
-0.7159537076950073,
-0.3531336188316345... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Example: 1, 3, ['z', 'h', 'Y', 'U', '2799']
Example solution: Y, h, z
Example explanation: Here, all the elements between the 1st element and 3rd element in reverse order are 'Y', 'h', and 'z'.
Problem: 4, 10, ['3993', '8581', 'z', 'V', 'x', '3763', '851', 'W', '7325', '1999', 'X', 'K', 'R', 'Y', '3373', '5243']
| Solution: 1999, 7325, W, 851, 3763, x, V | 5 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
0.15765590965747833,
0.20935776829719543,
-0.28663626313209534,
-0.3581499755382538,
0.0527292937040329,
-0.15911424160003662,
0.8336093425750732,
-0.04220587760210037,
-0.34043756127357483,
0.3628372251987457,
-1.057466745376587,
-0.16617946326732635,
0.3653963804244995,
-0.01025784946978... |
Q: In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
Subscribe to RSSECDC key messagesWHAT’S NEWREAD MORE ON ECDC SITERELATED HEALTH TOPICSSECTIONSECQWebPartECQWebPartRELATED HEALTH TOPICSECQWebPartIN SPOTLIGHT
A: | RSS abonnierenWichtige Mitteilungen des ECDCWAS GIBT ES NEUES?MEHR DAZU AUF DER INTERNETSEITE DES ECDCVERWANDTE GESUNDHEITSTHEMENRUBRIKENECQWebPartECQWebPartVERWANDTE GESUNDHEITSTHEMENECQWebPartIM BRENNPUNKT | 7 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | zs_opt | [
-0.7860275506973267,
0.9493712782859802,
0.127630814909935,
-0.48796308040618896,
-0.10717739164829254,
-0.926263689994812,
1.1431128978729248,
0.3915184736251831,
0.3756498098373413,
-0.058354806154966354,
0.07659999281167984,
0.1029169112443924,
-1.2481300830841064,
0.3076915740966797,
... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Fact: A protein-rich fluid leaks into spaces between cells.
Question: A protein-rich what leaks into spaces between cells?
fluid.
Fact: moving people across bodies of water can be done by flying through clouds.
Question: moving people across bodies of water can be done by what?
flying through clouds.
Fact: tectonic plates being pushed together causes something that hits San Francisco.
Question: Where might you find tectonic plates being pushed together?
| San Francisco.
| 0 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.47217556834220886,
0.7387758493423462,
-0.4017982482910156,
-0.006671767681837082,
-0.08608058094978333,
-0.8737199306488037,
0.0304584801197052,
0.18965932726860046,
-0.5237221717834473,
-0.36107316613197327,
-0.5607750415802002,
-0.1272052824497223,
-0.9024443626403809,
0.1994447857141... |
This task is about translating a given English language sentence to French.
It feels irritable. | "Je veux obtenir quelque chose... | 0 | NIv2 | task1689_qed_amara_translation | zs_opt | [
0.25581881403923035,
0.7864091396331787,
0.41520053148269653,
-0.6148691177368164,
0.1288118213415146,
-0.711077094078064,
0.6307699680328369,
0.15808992087841034,
0.21031257510185242,
0.1571323722600937,
-0.5576031804084778,
0.07873053848743439,
-0.4662134349346161,
-0.3189641833305359,
... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
One example is below.
Q: Lucifer how many episodes are in season 3?
A: How many episodes of season 3 of Lucifer were there, including bonus episodes?
Rationale: The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answer will be different than including the bonus episodes.
Q: Last time england made the semis in the world cup?
A: | When is the last time england made the semis in the FIFA world cup? | 9 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.23427876830101013,
0.47603192925453186,
0.20392151176929474,
-1.0696041584014893,
-0.06790637969970703,
-0.23695045709609985,
0.35966697335243225,
-0.47603604197502136,
-0.337185263633728,
-0.6198115348815918,
-0.11035304516553879,
0.713118851184845,
-1.3092440366744995,
0.2935893833637... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Example Input: Prompt: My phone is dying. I
Completion A: am so sorry.
Completion B: wish I have a cat.
Completion C: need to charge it.
Completion D: had salad for lunch.
Example Output: Completion C
Example Input: Prompt: January is the coldest month in Chicago, because
Completion A: other months are colder than January.
Completion B: January is the hottest month in the year.
Completion C: Chicago is colder than New York.
Completion D: other months are hotter than January.
Example Output: Completion D
Example Input: Prompt: Peanuts are nuts, all nuts are food. Peanuts
Completion A: are rubbish.
Completion B: are not food.
Completion C: are not nuts.
Completion D: are food.
Example Output: | Completion D
| 3 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.3995009660720825,
0.23589494824409485,
-0.49348247051239014,
-0.16490986943244934,
-0.12247326970100403,
-0.7452309131622314,
0.37380272150039673,
0.6479787826538086,
-0.5781028866767883,
-0.13561859726905823,
-0.42240217328071594,
-0.6214208006858826,
-0.10446375608444214,
-0.1028530895... |
A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
نئی دہلی، 25 دسمبر 2018،اسٹیج پر موجود پروفیسر جگدیش مکھی جی، وزیر اعلی بھائی سربانند سونووال جی، اروناچل پردیش کے وزیراعلی جناب پریما كھنڈو جی، بھائی ہیمنت وشو شرما جی، کابینہ کے میرے ساتھی بھائی راجن گوہائی جی، اسٹیج پر موجود دیگر سبھی معزز شخصیات اور میرے عزیز بھائیو اور بہنو! | व्यासपीठावर उपस्थित प्राध्यापक जगदीश मुखी जी, मुख्यमंत्री सरबानंद सोनोवाल, अरुणाचलचे मुख्यमंत्री प्रेम खंडू जी, हेमंत विश्वकर्मा जी, मंत्रिमंडळातील माझे सहकारी राजन गोहाई जी, व्यासपीठावर उपस्थित सर्व मान्यवर आणि माझ्या प्रिय बंधू आणि भगिनींनो. | 0 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
-0.7887793183326721,
0.7529622912406921,
-0.20089948177337646,
-0.7090936899185181,
-0.05769266560673714,
-0.9625683426856995,
0.667018473148346,
-0.023113667964935303,
-0.009034635499119759,
-0.6097674369812012,
-0.1655510663986206,
0.6265990734100342,
-0.26013630628585815,
0.249185413122... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.
Output: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
The Filipino sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
New input case for you: Sa pagpasok sa huling laban sa palagiang panahon, ang Bulls at ang kasamahang Sharks na naka base sa Durban South Africa, pati ang Brumbies na naka base sa Canberra Australya, ang natatanging kalaban sa pang-apat at huling pwesto.
Output: | レギュラーシーズンの最終ラウンドに突入するには、ブルズも同士の南アフリカのダーバンに拠点を置くシャークス、同じくオーストラリアのキャンベラに拠点を置くブランビーズらのみが、4番目で最後の決勝のポジションを勝ち取れる側であった。 | 1 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
0.525029718875885,
0.2815092206001282,
-0.9680774807929993,
0.4484241008758545,
-0.12438623607158661,
-0.07546606659889221,
0.16685956716537476,
0.5772427320480347,
0.050467781722545624,
-0.7588998079299927,
-0.9635633230209351,
0.8152956962585449,
-0.20033566653728485,
0.45516639947891235... |
Q: In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a picture of some buses driving in the street'. How many words contain the letter 't' in the sentence.
A: | 3 | 7 | NIv2 | task161_count_words_containing_letter | zs_opt | [
0.06674300134181976,
1.028003454208374,
-0.45191195607185364,
0.15557515621185303,
0.4514203667640686,
0.34965893626213074,
-0.16332413256168365,
0.3035547733306885,
-0.019483426585793495,
-0.05034459009766579,
-0.14958593249320984,
-0.7765727043151855,
0.4243217408657074,
-0.2668798565864... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[EX Q]: [-7.195, -90.601, -64.015, 69.388, 151.988, -72.281, 164.459]
[EX A]: [-0.047 -0.597 -0.422 0.457 1.002 -0.476 1.084]
[EX Q]: [167.844, 169.192, -81.096]
[EX A]: [ 0.656 0.661 -0.317]
[EX Q]: [72.759, 97.616, 100.826, 235.828, 238.236, 27.451, 110.834, 205.267, -60.052, -51.651]
[EX A]: | [ 0.074 0.1 0.103 0.241 0.244 0.028 0.113 0.21 -0.061 -0.053]
| 6 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5860580205917358,
0.14704298973083496,
-0.9357680678367615,
-1.2511948347091675,
0.16178813576698303,
0.09723466634750366,
0.23645389080047607,
-0.19078704714775085,
-0.5893816351890564,
-0.13976427912712097,
-0.6521855592727661,
0.6295130252838135,
-0.2793646454811096,
-0.2041306048631... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
[[6, -48, 28, -42, -2], [-27, 39, -4, 32, 8], [-6, -40], [15, -4, -26], [7, 0], [-1, 7, 13, 30, 24], [24, -4, -41], [43, -50, 11, 46, -27], [2, -21, -2, -37, 1], [-42, -5], [5, 35, 29], [8, -15, 23, -12], [47, 15], [-42, -24, -15, -48]] | [-677376, -1024, 240, 104, 0, 720, -96, -2300, -4, -42, 0, -96, 0, -48384] | 0 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.41125524044036865,
0.7268208265304565,
-0.43852540850639343,
-0.02202863059937954,
0.21477684378623962,
0.112028568983078,
1.220766305923462,
0.3287360966205597,
-0.14771375060081482,
-0.41014403104782104,
-0.9635523557662964,
0.12346823513507843,
-0.6991682052612305,
-0.550871968269348... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
[EX Q]: Who did the university that employed Terry Shea beat in 1869 in what is known as the first football game between colleges ?
[EX A]: Princeton University
[EX Q]: What was the production company of Samuthirakani 's 2003 movie ?
[EX A]: Charan 's Capital Film Works
[EX Q]: What is the Hurrian name of the 18th dynasty queen ?
[EX A]: | Tadu-Hepa
| 6 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.24070852994918823,
0.7088700532913208,
-0.12336009740829468,
-0.6726076006889343,
-0.8195613622665405,
-0.47576630115509033,
0.5897125005722046,
0.11561206728219986,
0.6203696727752686,
-0.4795742332935333,
-0.09339283406734467,
0.09982387721538544,
-0.4236046075820923,
-0.2599538266658... |
Detailed Instructions: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Problem:['d', '447', '6253', '3121', '8471', '777', 'e', '8537', 'b', '2301', 'n', '5973']
Solution: | b, d, e, n | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.3616321086883545,
0.42146438360214233,
-0.09205810725688934,
-0.5551064610481262,
0.1415749192237854,
0.0016402408946305513,
1.3650271892547607,
0.138294517993927,
-0.5337711572647095,
0.2821771502494812,
-0.6118601560592651,
-0.6693090796470642,
-0.047183580696582794,
-0.40853336453437... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: قیافه بسیار موقری گرفت و به اتاق پذیرایی رفت.
Output: | put on his most dignified air, and went into the reception room, | 3 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.3282918334007263,
1.297783613204956,
-0.3422010838985443,
-0.21070866286754608,
-0.4573540687561035,
0.2226322889328003,
0.0007121374364942312,
-0.2972221374511719,
0.8506723642349243,
-0.10156262665987015,
-0.27011677622795105,
-0.1334196925163269,
-0.24754267930984497,
0.1455427408218... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
But we didn't learn about it from common cancers.
A: | でも私たちがそれを学んだのは一般的ながんからではありません | 7 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.664463996887207,
0.9079577922821045,
0.15606313943862915,
-0.7600245475769043,
0.09860238432884216,
-1.4887914657592773,
0.17956244945526123,
0.6166394948959351,
0.13947512209415436,
-0.3761860728263855,
0.4255059063434601,
-0.3794790506362915,
-0.3799281716346741,
0.6582401990890503,
... |
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 an article. Your task is to summarize the article in a sentence.
Ms Bourne, who became Sussex's first PCC in 2012, was declared winner after the vote went to a second count.
Three candidates were eliminated in the first count, leaving only Ms Bourne and Labour's Michael Jones.
In the first count, Ms Bourne had 114,570 votes and Mr Jones had 61,017. The second count brought their totals to 139,335 and 86,392 respectively.
She said: "I'm absolutely honoured and very privileged to be elected."
She said she needed to "find extra savings because budgets are still reducing" and "to invest in frontline policing because I know that is really important to people in Sussex".
Voter turnout was 22.5% compared with 15.3% in 2012.
The three eliminated in the first count were Green Party candidate James Doyle, UKIP's Patrick Lowe and James Walsh from the Liberal Democrats.
Results listed alphabetically by surname are as follows. BBC News App users: tap here to see the results.
Solution: Conservative Katy Bourne has been re-elected police and crime commissioner for Sussex.
Why? This is a good example. The output correctly summarizes the article.
New input: It said it would raise about £150m.
It added that the share sale would support its plans for growth and further improve its ability to recruit and retain top staff.
Once the company is listed, it will pay £50m to the Treasury to settle what it still owes after buying Northern Rock plc in late 2011.
Virgin Money chief executive Jayne-Anne Gadhia said each employee would receive £1,000 worth of shares in the business when the flotation was completed later this month.
Ms Gadhia told the BBC's business editor, Kamal Ahmed, that she believed taxpayers had gained all their money back from the bailout of Northern Rock.
"In 2007, it looked like the taxpayer was going to make a big loss," she said. "Now this is the first bank properly out of the financial crisis.
"Debts to the taxpayer have in every sense been fully repaid. The taxpayer has got their money back."
Sir Richard said: "This is a huge day for Virgin Money. We started this company 20 years ago with Jayne-Anne Gadhia when we set out to challenge the financial services industry.
"Our wonderful team have come a long way since then and have built a strong and valuable business offering great value products and services and a real challenge to the established players."
Analysis: Kamal Ahmed, business editor, BBC News
Virgin Money's announcement of its intention to sell a stake on the London Stock Exchange brings to an end another chapter in the sorry story of Northern Rock.
The functioning bits of the bank, which spectacularly collapsed in 2007 and was bailed out in February 2008 with £1.4bn of taxpayers' money, were bought by Sir Richard Branson and US investor WL Ross for £747m in 2011. With subsequent payments, that figure has risen to £1bn.
Further value is left in the "bad bit" of the bank, which was hived off under the UK Asset Resolution scheme, which is now returning profits to the Treasury.
So has the government got its money back? Probably, although it is very difficult to quantify the actual costs of the multiple bailouts, of which Northern Rock was only one.
Virgin Money has 75 branches throughout the UK and has 2.8 million customers.
It employs 2,800 people, of whom 1,800 work at its centre of operations in Gosforth.
In November 2011, Virgin Money bought the banking and mortgage lending arm of the old Northern Rock bank, which was bailed out by the Bank of England in the autumn of 2007 at the start of the international banking crisis.
Northern Rock was nationalised in early 2008 and then in 2010 it was split in two - Northern Rock plc and Northern Rock (Asset Management), into which was placed its bad debt.
Virgin Money's final £50m payment will take the amount it has paid the Treasury for Northern Rock to £1.02bn.
Last week, another UK challenger bank, Aldermore, announced its own plans to float this month, saying it hoped to raise £75m.
While Virgin Money is a retail-only bank, Aldermore, founded in May 2009, is a specialist bank that concentrates on lending to small and medium-sized businesses, as well as to homeowners.
Solution: | Virgin Money, the UK challenger bank part-owned by entrepreneur Sir Richard Branson, has announced plans to float shares on the London Stock Exchange. | 0 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.3820672631263733,
0.5103764533996582,
-0.7074552178382874,
0.2177865356206894,
0.5689598321914673,
-0.0460258424282074,
0.4120565354824066,
0.8335585594177246,
0.0904940664768219,
0.3128460645675659,
0.5152153372764587,
0.5233168601989746,
-0.6084108948707581,
0.4138629734516144,
-0.38... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Who did the soundtrack for blade runner 2049? | Who composed music for the soundtrack for Blade Runner 2049? | 0 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.39889001846313477,
0.872374415397644,
-0.9270919561386108,
-0.19288957118988037,
-0.13875284790992737,
0.34085389971733093,
1.5960156917572021,
-0.21332380175590515,
0.2442730963230133,
-0.8139312267303467,
-0.09220585227012634,
-0.06673963367938995,
-0.6812399625778198,
-0.204600870609... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
[EX Q]: Context: My first visit to Angkor Wat was in 1980. The country had been at war for many years and _ and falling to pieces. Plants were growing out of the roofs, and trees were growing in the courtyards. Today, the temple is the scene of a busy repair program. A team of 15 Indian experts are organizing a workforce of 400 Cambodians, most of them women, who are cleaning, repairing and rebuilding parts of this temple. As I walked through the courtyards, I noticed the Cambodian women devote hours to cleaning carefully a tiny area of stone. Boards are laid down to protect the precious painted stones while the repair work is going on. There are very few machines and little heavy equipment. Workers carry building materials in buckets at the end of long poles. Piles of stones lie in a corner of the courtyard, waiting to be replaced. The work of cleaning the stones is watched over by three Indian chemists. It is a very slow task. First they clean the stones with brushes using buckets of a weak chemical. Then gaps between the stones are filled in. Finally another material is painted onto the stones which will protect them from water forever. Work starts every day at 7 a. m. and goes on until late afternoon six days a week, with a break at midday. Evening is the best time to visit the temple, after the tour groups have left. As the sun sinks lower, shadows spread across the courtyard. After sunset, the sky turns pink. The grey stone towers take on a golden color before turning pink. Nowhere else in the world can there be such a quiet, beautiful place.
Question: To clean the stone, how many steps should be followed?
[EX A]: three
[EX Q]: Context: Coming off their Sunday night road win over the Packers, the Cowboys went home for a Week 4 NFC East showdown with the Washington Redskins. In the first quarter, the 'Boys shot first as QB Tony Romo completed a 21-yard TD pass to TE Jason Witten. In the second quarter, the Redskins took the lead as QB Jason Campbell completed a 3-yard TD pass to WR James Thrash and a 2-yard TD pass to WR Antwaan Randle El, along with kicker Shaun Suisham getting a 20-yard field goal. Dallas closed out the half with kicker Nick Folk getting a 36-yard field goal. In the third quarter, the Cowboys tied the game with Romo completing a 10-yard TD pass to WR Terrell Owens. Washington would respond with Suisham kicking a 33-yard field goal. In the fourth quarter, the Redskins increased their lead with Suisham nailing a 33-yard and a 29-yard field goal. The 'Boys tried to rally as Romo completed an 11-yard TD pass to WR Miles Austin. However, Dallas' onside kick attempt failed, preserving the Redskins' win.
Question: Which player scored the last field goal of the game?
[EX A]: shaun suisham
[EX Q]: Context: Set in the Australian outback in the 1880s, the movie follows the series of events following the horrific rape and murder of the Hopkins family, allegedly committed by the infamous Burns brothers gang.The film opens in a brothel during a violent gunfight between the police and Charlie Burns' (Guy Pearce) gang, which ends with the deaths of all of the gang members except for Charlie and his younger brother Mikey. Captain Stanley (Ray Winstone) proposes to Charlie: he and Mikey can go free of the crimes they have committed if Charlie kills his older brother, Arthur (Danny Huston). Arthur is a mercurial psychopath who has become something of a legend and is so vicious that the Aboriginal tribes refer to him as "The Dog Man" and both the police and the Aboriginals refuse to go near his camp. Captain Stanley muses that perhaps the bounty hunters will kill Arthur in time and then states his intention to civilize the harsh Australian wilderness by bringing Arthur to justice and using Mikey as leverage. Charlie has nine days to find and kill Arthur, or else Mikey will be hanged from the gallows on Christmas Day.We discover why Captain Stanley is intent on taming Australia: he has been forced to move there with his delicate wife, Martha Stanley (Emily Watson), and apparently wants to make it an appropriate place for them to live. The Stanleys were also friends of the Hopkins family, leading Martha to have nightmares about her dead friends and the unborn child one of them is revealed to have carried. Word spreads of Stanley's deal with Charlie, primarily from Stanley's corrupt subordinate, Sergeant Lawrence (Robert Morgan), causing disgust among the townspeople.Shortly thereafter, Eden Fletcher (David Wenham), for whom Captain Stanley works, orders that Mikey be given one hundred lashes as punishment for the rape and murder of the Hopkins family. Stanley is aghast at this, not only because he believes that Mikey is innocent and the flogging will surely kill him, but because it would also break his deal with Charlie and thus put him and his wife in grave danger. Stanley sends Sergeant Lawrence away with tracker Jacko (David Gulpillil) and other men to "investigate" the reported slaying of Dan O'Riley by a group of Aborigines. Captain Stanley attempts to defend Mikey by gunpoint from the bloodthirsty townspeople, but is overruled once Martha arrives, insisting on revenge for her dead friends. Mikey is then brutally flogged, and horrifically wounded. The formerly excited townspeople slowly become disgusted and Martha faints at the ghastly display. After 40 lashes, Mikey has collapsed and the whip is soaked with blood. Captain Stanley grabs the whip and throws it at Fletcher, staining his face and suit with blood, who in turn fires Stanley.Meanwhile, Charlie rides a great distance in search of Arthur, drinking and apparently reflecting on what he will do. Along the way, he encounters an inebriated old man named Jellon Lamb (John Hurt). In the course of conversation, Charlie realizes that Lamb is a bounty hunter in pursuit of the Burns brothers and knocks him out. Later on, after sleeping on a rock bed, Charlie awakes and, before he can gather what's going on, is speared in the chest by a group of Aboriginal men standing over him. Seconds later a gunshot is heard and the head of the man who threw the spear explodes. Charlie then passes out.Charlie wakes up in the camp of his brother Arthur, which is located in caves among desolate mountains. Arthur's gang consists of Samuel Stoat (Tom Budge), who shot the Aboriginal man who had speared Charlie; a woman named Queenie (Leah Purcell) who tends to Charlie's wound; and a muscular Aboriginal man called Two-Bob (Tom E. Lewis). As he recovers from his wounds, Charlie has several opportunities to kill his brother, but does not. Not too far away from Arthur's camp, Sergeant Lawrence and his men have found and butchered a group of Aborigines. Arthur and Two-Bob find Lawrence's group while they sleep, ostensibly to get a horse for Charlie, and proceed to kill Jacko and Sergeant Lawrence. Before Arthur stomps Lawrence
Question: Who pulls Captain Stanley in a room and beats him?
[EX A]: | arthur
| 6 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.7478897571563721,
0.1442507654428482,
-0.8429555892944336,
-0.5208488702774048,
0.1860504299402237,
-0.029488611966371536,
0.2509519159793854,
0.871576189994812,
0.004286834970116615,
0.2724093794822693,
0.2366778552532196,
0.44847553968429565,
-0.30431365966796875,
0.20304390788078308,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
الشخص. | A persoa. | 0 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.8682072162628174,
0.9056837558746338,
-0.1712741255760193,
-1.6681312322616577,
-0.31368470191955566,
-0.009681133553385735,
0.9473854899406433,
-0.7068244218826294,
-0.038972407579422,
-0.5726518630981445,
-0.24931547045707703,
0.2815755009651184,
-0.8998415470123291,
0.474582165479660... |
Teacher:Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Curiosity Killed the Cat " This argument cements my suspicions that the using RDF and Semantic Web technologies are a losing proposition when compared to using XML-centric technologies for information interchange on the World Wide Web.', Argument/Subject 1: 'curiosity', Argument/Subject 2: 'cat'
Student: | kill | 6 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-1.117449164390564,
0.5812040567398071,
0.3345070481300354,
-0.5367158651351929,
-0.9583871364593506,
-0.6411024928092957,
0.21489891409873962,
0.2594881057739258,
-0.33457401394844055,
-0.6507807970046997,
-0.21141266822814941,
-0.19850929081439972,
-0.45180124044418335,
0.431827187538147... |
Teacher: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I a am professional dancer.
Solution: (2,3)
Reason: words 'a' and 'am' have been swapped. The correct sentence would be 'I am a professional dancer.'. Since the position of 'a' is 2 and 'am' is 3, the answer is (2,3).
Now, solve this instance: Two kids on couch a playing video games
Student: | (4, 5) | 2 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.06292792409658432,
0.09557952731847763,
-0.2495846152305603,
-0.9625343084335327,
-0.12067702412605286,
-0.1314093917608261,
0.37998443841934204,
0.6017025709152222,
-0.06021959334611893,
-0.0964636579155922,
-0.09020678699016571,
0.04486854746937752,
-0.46015122532844543,
-0.1226214021... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact.
Fact 1: if a tree falls then sunlight becomes available to the surrounding plants.
Fact 2: When a big tree falls, sunlight shines on smaller plants and they get a chance to grow.
Plants grow better when surrounding trees fall.
Fact 1: Humans have collected and grown mushrooms for food for thousands of years.
Fact 2: Yeast and mushrooms are types of fungus.
Humans have collected and grown fungus for food for thousands of years.
Fact 1: an aquatic animal requires great amounts of water to survive.
Fact 2: Beavers are primarily aquatic animals.
| Beavers require great amounts of water to survive.
| 0 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.02912217378616333,
0.6777614951133728,
-0.9754037857055664,
0.2735663950443268,
-0.5660473108291626,
-1.2980902194976807,
-0.16944286227226257,
1.0039730072021484,
-0.63694167137146,
0.1257365643978119,
-1.0335323810577393,
0.09584940969944,
-0.495478093624115,
0.24067682027816772,
0.1... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
16, 17, ['n', '1645', 'p', '997', 'w', '5779', 'v', '4087', '7795', '2287', 'p', 's', 'P', 'E', '5169', 'q', 'k', 'J', 'z', '1239', '3305', 'P', '6241', 'O', '1887', 'e', 'c', 'P']
| k, q | 5 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.5530878901481628,
0.6652764081954956,
-0.35754892230033875,
-0.3413105905056,
-0.2656956911087036,
-0.009355013258755207,
0.682203471660614,
-0.2565653920173645,
0.1794288158416748,
0.20314225554466248,
-0.6709929704666138,
0.3319334387779236,
-0.1276240348815918,
-0.28440535068511963,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
One example: Jess Mastriani: No, I don't want another crooler, thank you very much.
FBI Agent Nicole Scott: But it's good for you. It's got... honeyglaze. Please die for this crooler, Jess.
Jess Mastriani: I've had _ two _ already. Who eats three croolers in a night?
FBI Agent Nicole Scott: Take a look. [Nicole takes a huge bite] Mmmmm, Mmmmm, Mmmmm!
Solution is here: REFERENCE crooler
Explanation: In this example, the number two refers to something that appears in this text. In this example, it refers to the word: crooler.
Now, solve this: José Ramse: What the hell is wrong with you ? Listen . I get that you 're in a rush to delete yourself .
James Cole: Easy , man .
José Ramse: That _ one _ 's in a mad dash too . You guys are being reckless .
James Cole: Look , we 're getting close to the end of this thing , okay ? If she 's right about tomorrow ...
José Ramse: All right . We 'll never have happened . I get it .
James Cole: Yeah . And you wo n't be around to hear me say ' I told you so ' .
Solution: | PEOPLE | 6 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.038783326745033264,
0.5041357278823853,
-0.7857189178466797,
0.28930968046188354,
-0.14158375561237335,
-0.2314080446958542,
1.3296127319335938,
0.6926789283752441,
-0.23551572859287262,
0.03665545955300331,
-0.42754241824150085,
0.10165909677743912,
-0.31476491689682007,
-0.071324154734... |
Detailed Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Q: news:Simultaneously , Alma Media has purchased a 35 % share of Arena Interactive , a subsidiary of Arena Partners with a focus on mobile solutions development .
polarity:positive
A: | false | 9 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.12426397204399109,
0.1746762990951538,
0.016889039427042007,
0.4051211476325989,
-0.43300125002861023,
-0.3419065475463867,
0.530642569065094,
0.669535756111145,
0.7771079540252686,
-0.38168445229530334,
-0.016707884147763252,
0.6152346730232239,
-0.08282093703746796,
-0.268524706363678... |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: I'm so definately gonna make it to 400 tweets today
Solution: | positive | 4 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2691819667816162,
-0.0649089366197586,
0.5165325999259949,
0.30467045307159424,
0.5033398866653442,
-0.5703060626983643,
-0.09315024316310883,
0.5538844466209412,
0.33559706807136536,
0.6747956275939941,
-0.5936685800552368,
-0.44555866718292236,
-0.14710354804992676,
-0.524713516235351... |
Given the task definition and input, reply with output. Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
News Headline: President Trump gives himself a 10 out of 10 on {helping} Puerto Rico
Edit: failing
| Not Funny | 5 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.07660570740699768,
0.6368548274040222,
0.3696271777153015,
-0.0421384796500206,
-0.477053165435791,
-0.4313172996044159,
0.2821732759475708,
0.8432994484901428,
-0.16314560174942017,
-0.21874530613422394,
-0.7045109272003174,
-0.38086414337158203,
-0.8487952947616577,
0.04271328821778297... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Example: a georgian inscription around the drum attests his name.
Example solution: there is a georgian inscription around the drum to confirm his name.
Example explanation: The sentences clearly paraphrased correctly and simplified the original sentence which described the Georgian inscription get his name attests which was around the drum.
Problem: a mutant is a type of fictional character that appears in comic books published by marvel comics.
| Solution: mutants are fictional characters that appear in marvel comic books. | 5 | NIv2 | task934_turk_simplification | fs_opt | [
-0.23505237698554993,
0.529466450214386,
-0.004528139717876911,
-0.9369062185287476,
-0.43126142024993896,
-1.160557508468628,
1.002784013748169,
-0.07422272861003876,
0.15777182579040527,
-0.33016443252563477,
-0.4387432932853699,
-0.07773314416408539,
-0.8578748106956482,
0.0416141599416... |
In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
--------
Question: Read more about hepatitis B in the factsheet for general public .
Answer: Mehr über Hepatitis B im Faktenblatt für die allgemeine Öffentlichkeit .
Question: Genotyping is based on molecular methods, it allows the highest resolution within microbial species and even within individual strains.
Answer: Die Genotypisierung beruht auf molekularen Methoden. Sie ermöglicht die höchste Auflösung innerhalb der Arten eines Mikroorganismus und auch innerhalb einzelner Stämme.
Question: More recently, sexual transmission among men that have sex with men has become a more common cause of outbreaks in several countries.
Answer: | In jüngerer Zeit hat in mehreren Ländern auch die sexuelle Übertragung unter Männern, die sexuelle Kontakte mit Männern haben, häufiger zu Ausbrüchen von Bakterienruhr geführt.
| 7 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | fs_opt | [
-0.22765129804611206,
-0.1379912793636322,
-0.318143367767334,
0.04265722259879112,
0.08233918249607086,
-0.3338427245616913,
0.6232973337173462,
0.2981145977973938,
0.1669783890247345,
-0.4041674733161926,
-0.7936615347862244,
0.37487104535102844,
-0.3022043704986572,
0.12735146284103394,... |
Part 1. Definition
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Part 2. Example
♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫ ♫ כדי להשאר בחיים ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫
Answer: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli czujesz się bezsilna pomóż komuś Nikt naprawdę nie wie jak daleko pójdą by dalej żyć Nikt naprawdę nie wie jak daleko pójdą
Explanation: The Hebrew sentence is correctly translated into Polish, because the meaning is preserved.
Part 3. Exercise
עכשיו אני חושבת על עצמי בגיל 8, אני מודה, אבל אני גם חושבת על הסיפור ששמעתי בחדשות.
Answer: | Mam na myśli swój postępek sprzed lat, ale też historię | 7 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.08086991310119629,
0.5286306142807007,
-0.01503473985940218,
-0.11583845317363739,
-0.2279307246208191,
-0.9007829427719116,
1.8409092426300049,
0.10408207774162292,
0.4682525396347046,
-0.32331401109695435,
-1.1237694025039673,
0.7376995086669922,
-1.3313438892364502,
0.313130825757980... |
You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ಕಾರ್ತಿಕ್ ೨೦೦೪ರ ಆಗಸ್ಟ್ ನಲ್ಲಿ ಏಕದಿನ ಪಂದ್ಯಕ್ಕೆ ಭಾರತ ತಂಡದಲ್ಲಿ ಪ್ರಮಥವಾಗಿ ಆಯ್ಕೆಯಾದರು. ನಂತರದಲ್ಲಿ ರಾಹುಲ್ ದ್ರಾವಿಡ್ ರನ್ನು ತಾತ್ಕಾಲಿಕ ವಿಕೆಟ್ ಕೀಪರ್ ಆಗಿ ಬಳಸಿಕೊಳ್ಳುವುದನ್ನು ನಿಲ್ಲಿಸಲು ಮತ್ತು ಕಳಪೆ ಪ್ರದರ್ಶನ ತೋರುತ್ತಿದ್ದ ವಿಕೆಟ್ ಕೀಪರ್ ಪಾರ್ಥೀವ್ ಪಟೇಲ್ ಜಾಗಕ್ಕೆ ಇವರನ್ನು ಬಳಸಿಕೊಳ್ಳಲು ಆಯ್ಕೆದಾರರು ನಿರ್ಧರಿಸಿದರು. ಇವರು ಲಾರ್ಡ್ಸ್ ನಲ್ಲಿ <MASK> ವಿರುದ್ಧ ಕೇವಲ ಒಂದು ಪಂದ್ಯ ಮಾತ್ರ ಆಡಿದರು. ಈ ಪಂದ್ಯದಲ್ಲಿ ಒಂದು ರನ್ ಗಳಿಸಿದ್ದಾಗ ಔಟ್ ಆದರು. ಆಗ ಅನಿಲ್ ಕುಂಬ್ಲೆ ಬೌಲಿಂಗ್ ನಲ್ಲಿ ಇಂಗ್ಲೆಂಡ್ ತಂಡದ ನಾಯಕ ಮೈಕೆಲ್ ವಾನ್ ನ ಕ್ಯಾಚ್ ಅನ್ನು ಬಿಟ್ಟರು. ಕೊನೆಯಲ್ಲಿ ಲೆಗ್ ಸೈಡ್ ಬಂದಂತ ಚಂಡಿನಿಂದ ವಾನ್ ನನ್ನು ಸ್ಟಂಪ್ ಔಟ್ ಮಾಡಿದರು. ಮತ್ತು ಒಂದು ಕ್ಯಾಚ್ ಸಹಿತ ಹಿಡಿದರು.
Option A: ನ್ಯೂಜೀಲ್ಯಾಂಡ್
Option B: ಇಂಗ್ಲೆಂಡ್
Option C: ಬಾಂಗ್ಲಾದೇಶ
Option D: ಕರ್ನಾಟಕ | ಇಂಗ್ಲೆಂಡ್ | 0 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.5407874584197998,
0.8658769726753235,
-0.3510909676551819,
-0.40246570110321045,
-0.02226836606860161,
-0.6845611333847046,
0.2881280779838562,
-0.06935527175664902,
-0.39137566089630127,
-0.1388644129037857,
-0.08804342150688171,
0.009351059794425964,
-0.37142759561538696,
-0.3837546706... |
Teacher:In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers.
Teacher: Now, understand the problem? Solve this instance: [{'first': 7, 'second': 78}, {'first': -1, 'second': 52}, {'first': -44, 'second': -61}, {'first': 64, 'second': 45}, {'first': -64, 'second': -13}, {'first': 70, 'second': 6}, {'first': 38, 'second': 43}, {'first': 36, 'second': -11}, {'first': 54, 'second': -73}, {'first': -20, 'second': 10}]
Student: | [{'first': -64, 'second': -13}, {'first': -44, 'second': -61}, {'first': -20, 'second': 10}, {'first': -1, 'second': 52}, {'first': 7, 'second': 78}, {'first': 36, 'second': -11}, {'first': 38, 'second': 43}, {'first': 54, 'second': -73}, {'first': 64, 'second': 45}, {'first': 70, 'second': 6}] | 6 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
0.06318404525518417,
-0.11709433794021606,
-0.15749481320381165,
-0.24227285385131836,
0.586205005645752,
-0.5358296632766724,
0.6445720195770264,
1.021471619606018,
-0.18861618638038635,
-0.5739834308624268,
-0.2372259795665741,
-0.5926411151885986,
-0.5793309807777405,
-0.163697063922882... |
Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Input: claim: Housewives should be paid for their work.
perspective: Paying housewives promotes more positive images of women and family life
Output: | support | 3 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.9703986048698425,
0.7096570730209351,
-0.11271007359027863,
0.12678475677967072,
0.2852778434753418,
-0.18363653123378754,
0.8715780973434448,
1.0506104230880737,
0.4708845019340515,
0.215755432844162,
-0.15273697674274445,
-0.4326503872871399,
-0.48891451954841614,
-0.09494507312774658... |
Instructions: 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.
Input: GNUHurdと呼ばれる、協力して開発されたオペレーティングシステムのカーネルがL4マイクロカーネルで立ち上げ可能になり、Machマイクロカーネルを使用した現存の実装より大幅なスピード向上の余裕ができた。
Output: | ប្រព័ន្ធដំណើរការអភិវឌ្ឍន៍ដោយសហការខឺណែលដែលស្គាល់ថាជា ជីអេនយូ ហ៊ឺត ត្រូវបានដាក់ឲប្រើប្រាស់បានដោយប្រើប្រាស់ L4 ម៉ាយក្រូខឺណែល ដែលអាចផ្តល់លទ្ធភាពសម្រាប់ការកែឆ្នៃល្បឿនយ៉ាងលឿនទៅលើការអនុវត្តន៍ដែលមានស្រាប់ ដោយប្រើប្រាស់ Mach ម៉ាយក្រូខឺណែល។ | 3 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.7919272184371948,
0.48988866806030273,
-0.03378664702177048,
-0.6761212348937988,
-0.09617715328931808,
-0.09667787700891495,
0.17658542096614838,
0.1773187667131424,
-0.6051121950149536,
0.0359983816742897,
-1.179314136505127,
-0.47461551427841187,
-0.4813835024833679,
0.01996934041380... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
नवीन रुग्णालये वेगाने सुरु होत आहेत, डॉक्टर्स आणि निम वैद्यकीय कर्मचाऱ्यांची मागणी वाढत असून आरोग्य सेवा क्षेत्रात युवकांसाठी रोजगाराच्या अनेक संधी निर्माण होत आहेत.
નવી હોસ્પિટલો ઝડપથી ખુલી રહી છે, ડૉક્ટર અને પેરામેડિક સ્ટાફની માગ વધી છે, જેનાં પરિણામે હેલ્થકેર ક્ષેત્રમાં રોજગારીની ઘણી તકો ઊભી થઈ રહી છે.
जागतिक प्रकल्प आणि संस्थांमध्ये भारतीय युवक अप्रतिम काम करत आहेत.
વૈશ્વિત પ્રોજેક્ટ્સ અને સંસ્થાઓમાં તે અચંબાપૂર્ણ કામ કરી રહ્યું છે.
इथल्या जनतेसाठी हे जवान जे काही करत आहेत, जे कष्ट झेलत आहेत, त्याची प्रत्येक छबी देशाच्या जनतेच्या मनावर, मेंदूवर अमिट ठसा उमटवते.
| અહીંની જનતા માટે તે જે કંઈ પણ કરી રહી છે, જે પણ કષ્ટ સહન કરી રહી છે તેનું એક એક ચિત્ર દેશની જનતાના દિલો-દિમાગમાં છવાયેલું છે.
| 0 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
-0.10845251381397247,
0.31352436542510986,
-0.039964038878679276,
-0.5781168937683105,
-0.09892521798610687,
-0.4682518243789673,
0.3481470048427582,
0.20453763008117676,
0.10590293258428574,
-0.3983880877494812,
-0.6003454923629761,
-0.15915001928806305,
-0.4243655800819397,
0.00023905700... |
Q: 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'.
Title: Just one more cat. Sentence 1: 2 years later, Ellis now has 5 full sized cats. Sentence 2: He now understands how people become labelled as crazy cat lovers. Sentence 3: Ellis really loved his cats. Sentence 4: He had 4 kittens and one mum cat. Sentence 5: Day by day, the kittens started to become full sized cats.
A: | 34512 | 7 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.37235522270202637,
0.49502474069595337,
-0.2091408669948578,
0.12009351700544357,
-0.042470697313547134,
-0.7696349620819092,
-0.03346225619316101,
0.7443259954452515,
-0.23668523132801056,
0.18598267436027527,
-0.6425362825393677,
0.1039707362651825,
-0.7800631523132324,
0.123147927224... |
Teacher:Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Teacher: Now, understand the problem? Solve this instance: A kid finds the remote control unit for the vibrating briefs on the floor and picks it up.
Student: | As she does so, she knocks over her bag, and the remote control falls out. | 6 | NIv2 | task455_swag_context_generation | zs_opt | [
-0.0006694172625429928,
0.8532342314720154,
-0.8527305722236633,
-0.05296676605939865,
-0.5391433238983154,
-0.5923687815666199,
0.12355195730924606,
0.5511409044265747,
0.4207593500614166,
0.05588700994849205,
-0.0455569326877594,
0.545985221862793,
-0.8955402970314026,
-0.028448477387428... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Q: (Risas) Pero creo que iso tampouco contentaría aos nenos de sexto curso.
A: | (Laughter) But I don't think that'll satisfy the sixth-graders either. | 4 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.15835876762866974,
1.298871636390686,
0.13539165258407593,
-1.1278865337371826,
-0.7066285610198975,
-1.1417220830917358,
-0.2895506024360657,
1.11238694190979,
0.255698025226593,
-0.38451167941093445,
0.056902527809143066,
0.4226936995983124,
-0.9056771993637085,
0.24037712812423706,
... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a fire hydrant is across the street from an asian restaurant'. Is 'hydrant' the longest word in the sentence?
No
Sentence: 'a pizza with a few clumps of cheese and a few basil leaves'. Is 'few' the longest word in the sentence?
No
Sentence: 'a tile bathroom with a toilet sink and bath tub'. Is 'a' the longest word in the sentence?
| No
| 0 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.05118739604949951,
0.7786679267883301,
0.10794233530759811,
-0.19598142802715302,
-0.04489120841026306,
-0.6869524717330933,
0.09989670664072037,
0.695461630821228,
-0.13740971684455872,
-0.32114148139953613,
-0.2925207316875458,
0.13164380192756653,
0.0644763857126236,
-0.1300333142280... |
Detailed Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Between 1989 and 1993 US and European climate researchers drilled into the summit of Greenland's ice sheet, obtaining a pair of 3 km long ice cores.
A: | assistant | 9 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.6089784502983093,
0.344027042388916,
-0.4514869451522827,
-0.5120936632156372,
-0.5575058460235596,
-0.320915162563324,
0.7725019454956055,
-0.9059411883354187,
0.05572247505187988,
-0.2997090816497803,
0.20285460352897644,
0.06745559722185135,
-0.43503105640411377,
0.26305150985717773,... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
One example is below.
Q: Middle: Helen planned to drive to Canada but it started snowing heavily. Ending: Helen stayed home instead and planned to go another day.
A: Helen lived in America.
Rationale: Mention of the destination country name and driving implies that Helen is from a nearby foreign country.
Q: Middle: Sarah watched videos that taught her how to ride a horse. Ending: After watching videos, Sarah rode her horses.
A: | Sarah loved horses a lot. | 9 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.12122933566570282,
0.7693909406661987,
-0.2872016131877899,
-0.4115990400314331,
-0.5408133268356323,
0.3636249005794525,
0.8501088619232178,
0.8326241374015808,
-0.4217742681503296,
-0.5111970901489258,
-0.4895956516265869,
0.28424692153930664,
0.04510398209095001,
-0.15937402844429016,... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
--------
Question: Beginning: Bath and Body Works was full on Black Friday. Middle: Amy was instructed by her boss to clean the store thoroughly. Ending: After cleaning the store smelled so strong it gave Amy a headache.
Answer: Amy instructed her boss to clean the store thoroughly.
Question: Beginning: I had to change my car oil. Middle: I took my son out with me. Ending: I was glad to spend quality time with my son!
Answer: I changed my son's diapers.
Question: Beginning: Tika wanted to purchase a new car. Middle: Tika worked on improving her credit score for a year. Ending: Tika established herself a great credit score and bought a car.
Answer: | Tika worked on improving her chances with her ex boyfriend.
| 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
-0.03353600203990936,
0.11646673083305359,
0.06288514286279678,
0.18755310773849487,
0.11895142495632172,
-0.4003068804740906,
-0.1558828055858612,
0.9598038792610168,
-0.08658354729413986,
0.025327222421765327,
-0.46480920910835266,
0.22585150599479675,
-0.39305421710014343,
-0.2674800157... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Let me give you an example: account can be used with the same meaning of report
The answer to this example can be: account Synonym report
Here is why: The output is correct as the input describes the relationship between account and report, and the relation is that of having the same meaning, therefore they have a Synonym relationship.
OK. solve this:
data can be used with the same meaning of information
Answer: | data Synonym information | 8 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.4796258211135864,
1.2101211547851562,
-0.29774361848831177,
-0.355141282081604,
-0.5851213932037354,
-0.7218915224075317,
0.5725066661834717,
0.38311901688575745,
0.5504369735717773,
-0.6514865159988403,
-0.4666363596916199,
0.4860139489173889,
-0.7284188270568848,
0.16887667775154114,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
והם ניסו את כל מה שהיה להם.
Output: | و آنها هرچه در چنته داشتند را آزمودند. | 1 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.5119541883468628,
0.6644060611724854,
0.088443323969841,
0.03463602066040039,
-0.5998964309692383,
0.6774224042892456,
0.9915809631347656,
0.04214813932776451,
1.0827760696411133,
-0.28838562965393066,
-0.896101176738739,
-0.08012813329696655,
-0.3466784358024597,
0.39007604122161865,
... |
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: દોણજા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના દક્ષિણ ભાગમાં આવેલા તથા વલસાડ જિલ્લાનું વિભાજન કરી નવા બનાવવામાં આવેલા નવસારી જિલ્લામાં આવેલ કુલ ૬ (છ) તાલુકાઓ પૈકીના એક એવા ચિખલી તાલુકામાં આવેલું એક ગામ છે. દોણજા ગામમાં આંગણવાડી, પ્રાથમિક શાળા, દુધની ડેરી, પંચાયતઘર જેવી સગવડો ઉપલબ્ધ થયેલ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ડાંગર, શેરડી, કેરી તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે.
Option A: આંગણવાડી
Option B: ભારત
Option C: ઇજીપ્તીયન
Option D: પંચાયતઘર
ભારત
Statement: કાજલી ભારત દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના દક્ષિણ ભાગમાં આવેલા વલસાડ જિલ્લામાં આવેલા અને મહારાષ્ટ્ર રાજ્યને અડીને આવેલા એવા કપરાડા તાલુકામાં આવેલું એક ગામ છે. આ ગામમાં પ્રાથમિક શાળા તેમ જ આંગણવાડીની સગવડ પ્રાપ્ય છે. કાજલી ગામમાં ૧૦૦ ટકા આદિવાસી લોકો વસે છે. આ ગામ જંગલોથી ભરપૂર ડુંગરાળ પ્રદેશમાં આવેલું છે. અંહીના લોકોનો મુખ્ય વ્યવસાય ખેતી અને પશુપાલન છે. અંહી નાગલી, <MASK>, વરાઇ જેવાં ધાન્યો પાકે છે. અંહીના લોકો કુકણા બોલી બોલે છે, જે ગુજરાતી ભાષાથી એકદમ અલગ હોય છે.
Option A: ડાંગર
Option B: ચઢાવ
Option C: સુરત
Option D: મુંબઇ
ડાંગર
Statement: કુલ્લૂ ખીણ અથવા કુલ્લૂ વેલી (Kullu Valley) એક વ્યાપકપણે વિસ્તરેલ ખીણપ્રદેશ છે, જે ભારત દેશના હિમાચલ પ્રદેશ રાજ્યમાં લારગી અને <MASK> વચ્ચે બિયાસ નદીની આસપાસ આવેલ છે. આ ખીણ અહીંના મંદિરો, સુંદરતા અને તેના જાજરમાન પાઈન અને દેવદાર વન, છુટાછવાયા સફરજનના બગીચાઓ અને પર્વતીય ભૂપૃષ્ઠ માટે પ્રખ્યાત છે. આ ખીણ વિસ્તારમાંથી વહેતી બિયાસ નદી ભવ્યતાને રજૂ કરે છે, જેમાં દેવદારનાં જંગલોથી ઢંકાયેલ નદી, આસપાસમાં ખડકાળ પહાડીઓની હારમાળા તેની ઉપરના જબરદસ્ત પાઈન વૃક્ષો વડે શોભિત છે. કૂલ્લુ ખીણ-પ્રદેશ પીર પાંજાલ પર્વતશૃંખલા, ઓછી ઉંચાઈવાળા હિમાલય પર્વતો અને હિમાલય પર્વતમાળા વચ્ચેનું એક અનુસંધાન છે.
Option A: કૂલ્લુ
Option B: હિમાલય
Option C: મનાલી
Option D: સીંગરતંતી
| મનાલી
| 0 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.5334651470184326,
0.6038353443145752,
0.1849493682384491,
-0.2479236125946045,
-0.07756716012954712,
-1.0536986589431763,
0.16470441222190857,
1.129856824874878,
-0.5362790822982788,
0.14741793274879456,
-0.47039127349853516,
0.6494746208190918,
-0.21849799156188965,
-0.3058241605758667,... |
Q: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Middle: Laura went into her room looking for her cat. Ending: She turned the light on and saw that her cat had fell into the tank!
A: | Laura finally set up her new fish tank. | 7 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.8657859563827515,
1.0421786308288574,
-0.41349440813064575,
0.2354995161294937,
-0.20331160724163055,
-0.4315490424633026,
0.5848966240882874,
0.4154466390609741,
-0.20048533380031586,
-0.24584084749221802,
0.09310872107744217,
0.5130685567855835,
-0.7356780171394348,
-0.261285603046417... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Question: What is a source of energy for animals? Answer: nutriment.
Output: | food is a source of energy for animals | 1 | NIv2 | task1401_obqa_sentence_generation | zs_opt | [
-0.14455047249794006,
0.2935456335544586,
-0.4121395945549011,
0.04943585395812988,
-0.953928530216217,
-1.1871416568756104,
0.6447463631629944,
0.7507264018058777,
0.01983858272433281,
-0.4204440116882324,
-0.49142980575561523,
-0.09013259410858154,
-0.7435227632522583,
0.0281718280166387... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: 2006年にテキサス州のある高校生に言われました「できるだけ沢山の人を集めて青のポロシャツとカーキのズボン姿でBest Buyの店内にぼーっと立ってもらえば ？ 」 （ 笑 ） （ 拍手 ） 僕はすぐに「君の言う通りだ」と返信しました
Output: | Un rapaz dun instituto de Texas escribiume en 2006 e dixo: "" Deberías conseguir que tanta xente como sexa posible poña polos azuis e pantalóns caqui, vaia a unha tenda Best Buy e pasee por alí "". (Risas) (Aplausos) Así que respondín o correo do rapaz inmediatamente e lle dixen: "" Tes toda a razón. | 2 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.15721379220485687,
0.06210309639573097,
-0.2923088073730469,
-0.8459070920944214,
-0.5279080867767334,
-0.28681710362434387,
-0.22955720126628876,
-0.28233781456947327,
0.06685563176870346,
-0.3448256552219391,
-0.01166586298495531,
0.2727488577365875,
0.1521352231502533,
0.0825002267956... |
In this task, you need to Translate Czech text to English.
[EX Q]: Řeší se zařízení pro mazání strojů, zejména vodicích ploch obráběcích strojů, pracující na principu knotového mazání. Účelem je zajistit spolehlivé mazání stroje jednoduchým a levným způsobem, který není náročný na prostor vlastního stroje. Zařízení, využívající knoty a přívodní trubky, je tvořeno nádržkou, umístěnou v převodové skříni stroje nebo v jiném uzavřeném prostoru stroje s rozstřikem mazacího média.
[EX A]: Machine lubrication equipment especially machine tool guide surfaces working on the wick principle lubrication. The purpose is to ensure reliable machine lubrication simple and cheap in a way that is not space intensive own machine. Equipment using wicks and lances it consists of a reservoir placed in the gearbox the machine cabinet or in another closed spatter area lubricating medium.
[EX Q]: Zeleznicní vagón pro prepravu rozmerných nákladu,zejména silnicních vozidel, obsahuje ohybove i torzne tuhou plosinu /1/ pro prepravu nákladu, kteráje alespon na jednom konci pripojena k podvozku /3/ vagónu prostrednictvím alespon jedné páky /2/, pricemz plosina /1/ a páky /2/ jsou mezi polohami prepravní a pro manipulaci s nákladem pohyblivé priblizne rovinne a páka /2/ je s plosinou /1/ spojena nejvýse dvema na cele plosiny /1/ umístenými otocnými vazbami /4/ nebo vazbami otocne posuvnými, pricemz je-li vazba jedna, je umístena zhruba ve stredu cela plosiny /1/ a prípadne rozpojitelná, jsou-li vazby dve, jsou rozpojitelné a umístené u rohu cela plosiny /1/, a druhý konec páky /2/ je spojen alespon jednou otocnou nebo otocne posuvnou vazbou, pevnou nebo rozpojitelnou, s podvozkem /3/ vagónu nebo s dalsí pákou /2/, plosinou /1/ ci jiným dílem spojeným s alespon jednou nápravou vagónu,pricemz délka páky /2/ je stálá nebo menitelná a páka /2/ a/nebo plosina /1/ je vybavena oky /23/ pro pripojení silnicního vozidla a/nebo rukojetmi /34/ a/nebo rucne ci vnejsím zdrojem pohánenými mechanickými ci jinými natácecími prostredky, jimiz je páka /2/ ci plosina /1/ spojena s podvozkem /3/,pákou /2/, plosinou /1/, nápravou vagónu nebo spojitelná s objektem mimo vagón.
[EX A]: In the present invention, there is disclosed a wagon for transporting abnormal loads, particularly road vehicles comprising a bend and torsion rigid platform /1/ for transportation of loads, which platform /1/ is at least at one end attached to a wagon bogie /3/ through the mediation of at least one lever /2/, whereby the platform /1/ and the levers /2/ move approximately planar between transportation position and load handling position and the lever /2/ is coupled with the platform /1/ by at the most two pivoted couplings /4/ or rotary slidable couplings /4/ being disposed on the platform /1/ face, whereby when there is only one coupling it is disposed approximately amid the platform /1/ face and is optionally disengagable, and when there are two couplings they are disengagable and disposed close to corners of the platform /1/ face, and the other end of the lever /2/ is coupled by means of at least one rotatable or rotatable slidable coupling with the wagon bogie /3/ or with another lever /2/, the platform /1/ or another part being coupled with at least one wagon axle, whereby the lever /2/ length is constant or variable and the lever /2/ and/or the platform /1/ is provided with eyes /23/ for attachment of a road vehicle and/or handles /34/ and/or hand- or external source-driven mechanical or another swivel means, by means of which the lever /2/ or the platform /1/ is coupled with the bogie /3/, the lever /2/, the platform /1/, the wagon axle or can be coupled with another object disposed outside the wagon.
[EX Q]: Holicí britová sestava (10) pro otocné osazení narukojet (72) obsahuje pouzdro (12) mající vpredu chránítkový clen (14), vzadu krytový clen (2), a úloznou cást pro britové cleny (18, 20, 22) mezi chránítkovým clenem (14) a krytovým clenem (2), a dále první, druhý a tretí britový clen (18, 20, 22),osazené v uvedené úlozné cásti. Sestava (10) obsahuje obloukové úlozné plochy (42, 44) pod úloznou cástí pro britové cleny, pro kluzný záber s prirazeným prípojným útvarem rukojeti (72), vuci níz je sestava (10) natácivá. Úlozné plochy (42, 44) majístredy svých krivostí na ose (P) otácení, která lezí nad obloukovými úloznými plochami (42, 44). Prední hrany (29) nezatízených britových clenu (18, 20, 22) jsou usporádány níze nez horní plochy vytvorené na stranách úlozné cásti pro britové cleny (18, 20, 22). Osa (P) otácení je ulozena v prostoruvymezeném hranicí (80), probíhající od prední hrany (29) nezatízeného prvního britového clenu (18) k prední hrane (29) nezatízeného druhého britovéhoclenu (20), dále nahoru a dozadu od prední hrany (29) druhého britového clenu (20) do místa lezícího pred prední hranou (29) tretího britového clenu (22), dále dopredu, v podstate rovnobezne se spojnicí predních hran (29) nezatízených britových clenu (18, 20) az pred prední hranu (29) prvního britového clenu (18), dále pak dolu a dopredu k místu uvnitr chránítkového clenu (14) do místa lezícího pod a pred prední hranou (29) prvního britového clenu (18), a z tohoto místa nahoru a dozadu k predníhrane (29) prvního britového clenu (18).
[EX A]: | The razor blade assembly (10) for the rotatable shoulder (72) includes a housing (12) having a front guard member (14), a rear cover member (2), and a storage member for the lip members (18, 20, 22) between the guard member ( 14) and a cover member (2), and further, a first, second and third blade members (18, 20, 22) mounted therein. The assembly (10) comprises arcuate support surfaces (42, 44) below the support member for the lip members, for sliding engagement with the associated attachment structure of the handle (72), wherein the assembly (10) is rotatable. The storage surfaces (42, 44) have their curvature on the axis of rotation (P) that lies above the arched storage surfaces (42, 44). The front edges (29) of the unstretched cutting members (18, 20, 22) are arranged lower than the upper surfaces formed on the sides of the storage portion for the cutting members (18, 20, 22). The pivot axis (P) is disposed in a space defined by a boundary (80) extending from the leading edge (29) of the unstressed first flange member (18) to the front edge (29) of the unstressed second flange member (20), further up and rear of the front edge (29) ) of a second spindle member (20) to a point in front of the leading edge (29) of the third spindle member (22), further forward, substantially parallel to the leading edges (29) of the unstretched spindle members (18, 20) and upstream of the leading edge (29) ) of a first cutting member (18), further down and forward to a location inside the protective member (14) to a location below and forward of the leading edge (29) of the first cutting member (18), and upwardly and rearwardly of the leading edge (29) the first barrel member (18).
| 6 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.369534969329834,
-0.5206719636917114,
-0.2672097086906433,
0.6757911443710327,
0.4781549572944641,
-0.24494804441928864,
0.8576757907867432,
1.1539335250854492,
-0.3026908040046692,
0.20595484972000122,
-0.1420859545469284,
0.33197858929634094,
0.06814329326152802,
0.7197437286376953,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Ex Input:
I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
Ex Output:
look left twice after jump around left twice
Ex Input:
I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK I_RUN I_RUN
Ex Output:
walk opposite right twice and run twice
Ex Input:
I_TURN_RIGHT I_RUN I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK
Ex Output:
| walk left twice after run right
| 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.26040858030319214,
0.6354564428329468,
-0.6206974387168884,
0.24310807883739471,
-0.09953783452510834,
0.24404066801071167,
0.024946138262748718,
0.685105562210083,
-0.20749449729919434,
-0.1746469885110855,
-0.8663057684898376,
-0.34284019470214844,
-0.6532695889472961,
-0.1705281138420... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: വൈദ്യശാസ്ത്രത്തിന്റെ ഒരു വിഭാഗമായി ദന്തവിജ്ഞാനീയ പഠനം ആരംഭിച്ചത് <MASK>. 1700-ൽ സർജൻമാരുടെ കോളജിൽ രണ്ടുവർഷത്തെ പാഠ്യപദ്ധതിയും തുടർന്നുള്ള പരീക്ഷയും പ്രവൃത്തിപരിചയവും ദന്തചികിത്സകർക്ക് നിർബന്ധിതമാക്കി. 1728-ൽ പിയർ ഫോഷാർഡ് എന്ന ദന്തഡോക്ടർ ദ് സർജൻ ദന്തിസ്റ്റ് എന്ന പുസ്തകം പ്രസിദ്ധപ്പെടുത്തിയത് ആധുനിക ഡെന്റിസ്ട്രിയുടെ തുടക്കം കുറിച്ചു. ഇദ്ദേഹത്തെ ആധുനിക ഡെന്റിസ്ട്രിയുടെ പിതാവായി കരുതിവരുന്നു. 1789-ൽ ഡ്യൂബോ ഡി ഷിമാൻഡ് പോഴ്സലേൻകൊണ്ട് കൃത്രിമ ദന്തങ്ങൾ ഉണ്ടാക്കി. കൂടാതെ ഞെരുങ്ങിനില്ക്കുന്ന പല്ലുകൾ അകറ്റുന്നതിന് ബാൻഡ്ലെറ്റ് (bandelette) എന്ന ഉപകരണം നിർമ്മിക്കുകയും ചെയ്തു.
Option A: ഫ്രഞ്ച്
Option B: ഫ്രാൻസിലാണ്
Option C: സുമേറിയൻ
Option D: ഇംഗ്ലണ്ടിൽ
A: | ഫ്രാൻസിലാണ് | 4 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
-1.0155386924743652,
0.6506593823432922,
-0.3637956976890564,
-0.3453907370567322,
-0.6343371868133545,
0.1606244593858719,
-0.011596504598855972,
0.9156055450439453,
0.422850102186203,
0.07755949348211288,
-0.38283291459083557,
0.4070245921611786,
-0.6471733450889587,
0.02224445901811123,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Wie nennt man es, wenn sich Menschen bei der Arbeit zum Informationsaustausch treffen?
Options: A online B Internet C Pause D manuell E Treffen
Output: | E | 1 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | zs_opt | [
0.12604299187660217,
0.3648099899291992,
-0.1255962997674942,
0.3174979090690613,
-0.26565679907798767,
0.658284604549408,
1.0589239597320557,
0.8328191041946411,
0.6211407780647278,
0.27242422103881836,
0.05835049971938133,
0.275612473487854,
0.03710237517952919,
0.01222729217261076,
0.... |
Teacher:The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Teacher: Now, understand the problem? Solve this instance: Think about something you've always wanted to add to your life and try it for the next 30 days.
Student: | Razmislite o nečemu što ste oduvijek htjeli dodati svom životu i pokušajte to raditi 30 dana. | 6 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.6237554550170898,
0.7585192322731018,
0.05780851095914841,
-0.03987129405140877,
-0.055381257086992264,
-0.8858076333999634,
0.44126707315444946,
0.00003714533522725105,
-0.20157313346862793,
-0.17890697717666626,
0.27964484691619873,
0.1786145567893982,
-0.4984421133995056,
-0.39444780... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Problem:The primary objective of this randomized controlled challenge study was to investigate the effect of ampicillin on ultrasonographic (US) lung consolidation after experimental challenge with Pasteurella multocida in preweaned dairy calves. The secondary objectives were to determine whether ampicillin affected respiratory score, gross consolidation, or the detection of P. multocida in lung tissue at postmortem exam (PME). Holstein bull calves (n = 39) were transported to the University of Wisconsin-Madison School of Veterinary Medicine isolation facility at the mean (±SD) age of 52 ± 6 d. After a 7-d acclimation period, 30 calves were inoculated intratracheally with 10 10 cfu of ampicillinsensitive P. multocida. Lung US and respiratory scoring were performed 2, 6, 12, and 24 h post-challenge, then US once daily and respiratory scoring twice daily until d 14. Calves were randomized to receive ampicillin [n = 17, treatment (TX), 6.6 mg/kg i.m. once daily for 3 d] or placebo [n = 11, control (CON), saline, equal volume, i.m. once daily for 3 d] when ≥1 cm 2 of lung consolidation was observed and ≥6 h had elapsed since challenge. Lung lesions ≥1 cm 2 were considered positive for consolidation. Calves were respiratory score positive if ≥2 in 2 or more categories based on the Wisconsin respiratory health score chart. Area under the curve (AUC) was calculated for US score and respiratory score as a proxy for time with consolidation and clinical respiratory disease, respectively. Gross lung lesions and pathogens were quantified following PME. At the time of first treatment, consolidation had developed in 28/30 calves (TX, n = 17; CON, n = 11) and 6% (1 out of 17) of TX and 9% (1 out of 11) of CON calves had a positive respiratory score. The TX calves had a significantly lower median (interquartile range given in parentheses) AUC for US score [TX: 23 (20, 29), CON: 47 (33, 53)], whereas mean AUC for respiratory score was not different between groups (TX: 93 ± 28, CON: 96 ± 17). On d 14, 70% (12 out of 17) of TX and 100% (11 out of 11) of CON calves had lung consolidation, and 24% (4 out of 17) of TX and 27% (3 out of 11) of CON calves had clinical respiratory disease. On PME, median consolidation was 10% (6, 15) for TX and 10% (2, 28) for CON calves. Lung cultures were positive for P. multocida in 77% (13 out of 17) of TX and 91% (10 out of 11) of CON calves. Lung health benefited from a 3-d ampicillin therapy, but benefits were short-lived. Treatment failures might be due to incomplete resolution of the initial lung infection. Future studies are needed to optimize TX strategies to improve long-term lung health.
Solution: | Effect of antibiotic treatment in preweaned Holstein calves after experimental bacterial challenge with Pasteurella multocida | 8 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.4682392477989197,
-0.2709082365036011,
-0.3187028765678406,
-0.25498783588409424,
0.6223933696746826,
-0.11778001487255096,
1.1355600357055664,
0.798402726650238,
-0.3233422040939331,
0.18554919958114624,
-0.264207661151886,
0.38714760541915894,
-0.8020589351654053,
0.3598484694957733,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Problem:大抵は楽しむための機会ですが時にはもっと難しいものである場合もあります
Solution: | Na maior parte das vezes é a oportunidade de desfrutar, mas às vezes é algo mais difícil. | 8 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.013821594417095184,
0.5139009356498718,
-0.16990932822227478,
-0.34792691469192505,
-0.11471416056156158,
0.0041967956349253654,
0.3049983084201813,
0.3248904347419739,
0.6401203870773315,
-0.687320351600647,
-0.599741518497467,
0.028273729607462883,
-0.22091495990753174,
0.623484671115... |
Teacher:In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? Solve this instance: Question: What is the highest level of mics? Passage 1:Yet again, Town's season was dominated by their FA Cup run. They reached their fifth and so far last FA Cup Final. After a win over Hull City in Round 3, they scraped past Notts County and Liverpool, they beat York City in the quarter-final in a replay, before beating the favourites Sunderland at Ewood Park in the semi-final, meaning they would play Preston North End in the final, a repeat of the 1922 FA Cup Final, the only one of Town's previous final appearances that they won. The final at Wembley was the first since moving to the London stadium to go into extra time. The result would be the opposite to the 1922 final, with Town conceding a penalty to lose the match 1–0.
Passage 2:In 1994, he was introduced to Erick Sermon of EPMD by his friend K-Solo. Sermon included Murray on his album No Pressure on the single "Hostile", with critics praising Murray's lyrical ability. His appearance on Hostile led to Murray being signed to Jive Records, and work began on his first album. Murray's debut single, The Most Beautifullest Thing in This World was released in 1994 and was a hit. The song was produced by Erick Sermon (who also provided background vocals) and peaked at number 50 on the Billboard 200 and number 3 on the Hot Rap Singles chart. Murray's debut album The Most Beautifullest Thing in This World, was named after the single and released in 1994 to widespread critical acclaim and commercial success, being certified Gold by the Recording Industry Association of America (RIAA) in August 1995. The album was also given 4 mics by The Source. Murray continued to enjoy a high media-profile by appearing on a Coca-Cola advertisement and as a featured guest on Mary J Blige’s Be Happy, Total’s Can’t You See, R Kelly's Home Alone and LL Cool J’s I Shot Ya.
Passage 3:Von Maillinger was born in Passau. After passing his company officer career, at last in the Generalquartiermeister staff in Munich, he was transferred to the General Command in Munich as major of the general staff. The first time, he served for the war ministry, he was ordered by Von Lüder. In 1863 he became head of department at the war ministry. Also he was adjutant of Eduard von Lutz, as well as representative of him at the Landtag. In 1865 he was advanced to Oberstleutnant, in 1866 he Oberst. Thenceforward he was commander of the 7th Royal Bavarian Infantry Regiment and deputy of Von Lutz. In 1869 he became major general and commander of the 8th Royal Bavarian Infantry Brigade. One year after that, he was advanced to lieutenant general, and led the 2nd Royal Bavarian Division during the campaigns of the Franco-Prussian War, which stood in France as part of the Bavarian occupation army until 1873. After he returned to Bavaria, he became commander of the II Royal Bavarian Corps. During the period, when he served as war minister, he was advandced to General der Infanterie in 1877 and got the main ownership of the 9th Royal Bavarian Infantry Regiment "Wrede" The psychiatrist and neurologist Prof. Dr. Dr. Dres. h.c. Heinz Häfner says, Maillinger's withdrawal from his ministry post was caused by Ludwig II's reputed sexual abuse of young cavalrists (chevau-légers). Ritter von Maillinger became a member of the Reichsrat in 1888. He died in Bad Aibling. The Maillingerstraße in Munich is named in honor of him.
Student: | 2 | 6 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.5192073583602905,
0.7162785530090332,
-0.35710573196411133,
0.3013959527015686,
0.745559573173523,
-0.06501681357622147,
0.7474506497383118,
1.0246578454971313,
0.04574168473482132,
0.644066572189331,
-0.16589179635047913,
0.5622236728668213,
-0.7839360237121582,
-0.03511351719498634,
... |
Detailed Instructions: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
Problem:"I fail to see how you could have done more."
Solution: | "Minä en ymmärrä, että olisit voinut menetellä paremmin." | 8 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.4127451181411743,
0.771239161491394,
0.21788737177848816,
-0.28644612431526184,
0.32821187376976013,
-0.8679338693618774,
1.0271660089492798,
0.3372592329978943,
-0.3578333258628845,
-0.24906215071678162,
0.10420947521924973,
0.6189917325973511,
-1.5861680507659912,
0.39448249340057373,... |
You will be given a definition of a task first, then some input of the task.
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: the c. p of 10 pens is equal to the s. p of 5 pens. find his gain % or loss % ?
Options: a. 50 %, b. 40 %, c. 30 %, d. 60 %, e. 20 %
Output: | a | 1 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.31021299958229065,
0.49559730291366577,
-0.3049018681049347,
0.6365578174591064,
0.13016360998153687,
-0.5387710332870483,
0.75571608543396,
0.6435961127281189,
0.3835567831993103,
0.04013491049408913,
-0.33289700746536255,
-0.11818060278892517,
-0.10381356626749039,
-0.4505962133407593,... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles.
Solution: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them.
Reason: The Portugese sentence is correctly translated into English, because the meaning is preserved.
Now, solve this instance: Mas é agregador e é inclusivo.
Student: | But it is joined up, and it is inclusive. | 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.12428295612335205,
0.20500460267066956,
0.2292790710926056,
-0.5750144124031067,
-0.02341969683766365,
-1.1663858890533447,
-0.6237386465072632,
0.33312225341796875,
0.38342511653900146,
-0.3244645893573761,
-0.14475861191749573,
0.2755206227302551,
-0.7244290113449097,
-0.1615993380546... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Example input: you are a dumb spic that can not spell spaniard
Example output: dumb spic
Example explanation: The phrase from the tweet addresses a Spanish speaking person from the Caribbean in an offensive way.
Q: these are the same british police who would arrest a man for threatening gypsies squatting in his own home after he returned from vacation who arrest women for spraying a rapist with pepper spray who allow camel jockeys to scream for jihad but arrest patriots who complain
A: | camel jockeys | 3 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.512363076210022,
0.9426865577697754,
0.41229110956192017,
0.43205249309539795,
-0.5044631361961365,
-1.7025020122528076,
-0.24803972244262695,
0.768843412399292,
0.6289913654327393,
0.4946654438972473,
-0.7263743877410889,
0.2824975252151489,
-0.5677751302719116,
-0.969577968120575,
-... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
[Q]: Malgré les DTV, JCVD fait les bons choix, avec des films intéressants, prenants et des sujets d'actualité. De guest star, JCVD devient personnage principal par son aura et son style bien à lui. Un bon film d'action, traitant en plus de la traite des enfants.
[A]: 1
[Q]: Les images splendides, décors naturels à couper le souffle et la musique aussi discrète qu'envoutante servent un propos efficace. Le recueillement supplante le sentiment bruyant et les quelques dialogues font sens dans ce film inattendu et rare.
[A]: 1
[Q]: Le scénario manque de relief . Je ne suis pas surpris que ce film est passé inaperçu sachant que stalonne nous a offert de meilleur interprétation .
[A]: | 0
| 5 | NIv2 | task1591_allocine_classification | fs_opt | [
-0.13616082072257996,
0.5372554659843445,
-0.7036566138267517,
-0.07075144350528717,
0.08368726074695587,
0.010153199546039104,
1.0730226039886475,
0.3338870406150818,
0.04951032996177673,
0.4415900707244873,
-0.07144313305616379,
-0.5651674270629883,
-0.8509841561317444,
-0.36924991011619... |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Problem:Tweet: Soon @fuckeveryword will be to "Fuck Backtrack" and I can't wait because fuck those faggots.
Label: Offensive
Solution: | false | 8 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-0.6461580991744995,
0.190839946269989,
0.7985859513282776,
0.22151818871498108,
-0.3940412700176239,
-1.4066115617752075,
0.08070080727338791,
0.48973697423934937,
0.5000597238540649,
0.11891338229179382,
-0.512112557888031,
-0.5451720356941223,
-0.7538877725601196,
-0.5565229654312134,
... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
question:
Riusciamo a farlo perché usiamo le nostre limitate risorse con molta attenzione e perché rimaniamo fedeli alla missione principale del GNH, che consiste nello sviluppo basato su dei principi.
answer:
Conseguimos fazer isto porque usamos os nossos recursos limitados com muito cuidado, e porque nos mantemos fiéis à missão nuclear da FIB, que é "" desenvolvimento com valores "".
question:
Ecco la mia nazione, la Svezia: nel 1800 eravamo qui sopra.
answer:
O meu país, a Suécia: Em 1800 estávamos lá em cima.
question:
Oggi, gli Stati Uniti e la Cina sono le due economie leader nel mondo.
answer:
| Hoje, os EUA e a China são as duas economias líderes no mundo.
| 9 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.7659911513328552,
0.7198988199234009,
0.333882212638855,
-0.6802247762680054,
-0.46582967042922974,
-1.4952692985534668,
-0.32899025082588196,
0.8002775311470032,
0.11466480791568756,
0.13372373580932617,
-0.7149029970169067,
0.5268691778182983,
-0.9232077598571777,
0.17731228470802307,... |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: 彼女は男性に興味を持っていた、彼と何をしたいと思っていたのか？
Options: A 特定のプログラムを参照してください B 出品物を見る C ゲームを見る D 会話をする E 映画を見る
A: | D | 4 | NIv2 | task1145_xcsr_jap_commonsense_mc_classification | zs_opt | [
0.0158116202801466,
-0.1495082676410675,
-0.19116154313087463,
0.07868050038814545,
-0.04898674041032791,
0.07895438373088837,
0.8797382712364197,
-0.16180966794490814,
0.11479414999485016,
-0.33313894271850586,
-0.35246095061302185,
-0.3942635655403137,
-0.5174485445022583,
-0.56717777252... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
[Q]: Text: …itanaw ninyo ang inyong mga mata, at inyong tingnan ang mga bukid, na mapuputi na upang anihin. (Juan 4:35)
[A]: Tagalog
[Q]: Text: Ik wist niet dat dieren zo intelligent waren.
[A]: Dutch
[Q]: Text: Vous avez fait plus pour MOI que beaucoup qui se donnent le nom de pasteurs, et ne sont pas des pasteurs du tout.
[A]: | French
| 5 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
-0.16450655460357666,
0.6435311436653137,
0.5142419338226318,
-0.4351344108581543,
-0.41965287923812866,
-0.9670653343200684,
-0.29196423292160034,
0.34778892993927,
0.32301193475723267,
-0.03637869656085968,
0.2247505933046341,
0.30844414234161377,
-0.7676485180854797,
0.08785754442214966... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
--------
Question: A man puts three pieces of meat into a pan.
Answer: Un bărbat pune trei bucăți de carne într-o tigaie.
Question: A skateboarder slides down a handrail on his feet.
Answer: Un skateboarder alunecă pe o balustradă pe picioare.
Question: Japan Election: Shinzo Abe Hails Landslide Win
Answer: | Alegeri în Japonia: Shinzo Abe salută victoria solidă
| 7 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.34084343910217285,
0.4948495030403137,
0.14236369729042053,
0.09311498701572418,
0.1502695083618164,
0.6870221495628357,
1.478595495223999,
0.7830666303634644,
0.4558621644973755,
0.0015002547297626734,
0.6192073225975037,
1.1015154123306274,
-0.8438573479652405,
0.25632309913635254,
... |
Detailed Instructions: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
See one example below:
Problem: [2,5,1,4],[2,5,8,4,2,0]
Solution: [2,4,5]
Explanation: The elements 2,4, and 5 are in both lists. This is a good example.
Problem: [4, 10, 9, 7, 6] , [7, 10, 1, 7, 9]
Solution: | [7, 9, 10] | 4 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.543480634689331,
0.19046644866466522,
-0.523058295249939,
-0.29252633452415466,
0.23793621361255646,
-0.03104027733206749,
0.965614914894104,
0.3299883008003235,
0.02418651431798935,
0.3530764877796173,
-0.6976733803749084,
-0.48231059312820435,
-0.33860713243484497,
0.11463849246501923,... |
Q: In this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specified by the category. If the category is specified as entailment, then the output sentence must clearly agree with the input sentence. If the category specified is contradiction , then the output sentence must clearly disagree with the input sentence.
sentence_A: A black and white dog is playing with a tattered volleyball in a brown field. category: entailment
A: | A black and white dog is playing with a broken volleyball | 7 | NIv2 | task1613_sick_given_category_generate_sentence | zs_opt | [
-0.7196429967880249,
0.48432135581970215,
0.06355275213718414,
-0.09783041477203369,
-0.4886142313480377,
0.18790936470031738,
0.15131834149360657,
0.407027930021286,
0.758682131767273,
-0.7195616364479065,
-0.35485491156578064,
0.42784327268600464,
-0.10022756457328796,
0.1573206484317779... |
Detailed Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related to sports. Label the text "2" if it contains information related business. Label the text "3" if it contains science or technical related information.
Q: Netanyahu backs off threat to quit JERUSALEM -- Israeli Finance Minister Benjamin Netanyahu yesterday took back his threat to withdraw from the governing Likud party, but a minority religious party quit Prime Minister Ariel Sharon's coalition, protesting the plan to remove Israeli settlers and troops from the Gaza Strip and a portion of the West Bank.
A: | 0 | 9 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.8706874251365662,
0.571283221244812,
0.03925570473074913,
0.31582945585250854,
-0.06873468309640884,
-0.1103268414735794,
0.4932680130004883,
0.32880979776382446,
0.19419702887535095,
0.596295177936554,
0.012118132784962654,
0.7718842029571533,
-1.068253755569458,
0.021207589656114578,
... |
instruction:
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 and make it sentence case (capitalize only the first word of each sentence and noun).
question:
Conte is currently serving four months in prison for distribution of steriods and money laundering.
answer:
कोन्टी वर्तमान में चार महीने से जेल में स्टेरॉइड्स और मनी लॉन्ड्रिंग के मामले में जेल में सजा काट रहा है।
question:
According to Indian television and radio, 155 people have been killed and 327 others wounded.
answer:
भारतीय टेलीविजन और रेडियो के अनुसार, 155 लोग मारे गए हैं और 327 अन्य घायल हुए हैं।
question:
An "Asian security source" stated that the missiles may have been launched in the direction of China by mistake, and landed just inside the North Korean border.
answer:
| एक "एशियाई सुरक्षा स्रोत" ने कहा कि मिसाइलों को गलती से चीन की दिशा में लॉन्च कर दीया गया था और उत्तर कोरियाई सीमा के अंदर ही उतरा।
| 9 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.2657483220100403,
0.6042941212654114,
0.005023479461669922,
-0.024850953370332718,
0.53938227891922,
-0.2985728681087494,
0.17219556868076324,
0.8666627407073975,
-0.23383444547653198,
-0.1456533968448639,
-0.6255441904067993,
0.2659786343574524,
-0.413438618183136,
0.17631366848945618,... |
Teacher: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text: Cheval de soins pour les enfants de 3 ans!
Solution: French
Reason: The given text is in French language
Now, solve this instance: Text: The point isn’t to use X keyword phrases X number of times.
Student: | English | 2 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.46029186248779297,
0.1464182734489441,
0.49327635765075684,
-0.6646045446395874,
0.27246367931365967,
-0.41233956813812256,
0.08805704116821289,
0.6558586359024048,
0.021323947235941887,
-0.42808401584625244,
-0.07644551992416382,
0.3884521424770355,
-0.1709209531545639,
-0.3875651955604... |
Definition: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Input: Swedish: På så sätt kan vi uppnå ett miljömässigt anständigt resultat.
English: on behalf of the PPE-DE Group. - (NL) Madam President, Commissioner, ladies and gentlemen, it is indeed three and a half years ago that Parliament, in a resolution to both the Council and the Commission, asked for important measures to support European citizens suffering from MS. As the Commissioner already pointed out, much progress has indeed been made.
Output: | No | 2 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.022595452144742012,
0.581271767616272,
-0.02641281858086586,
-0.16115513443946838,
0.4211292862892151,
-1.0751230716705322,
0.7131749391555786,
0.2951280176639557,
0.33938103914260864,
0.6791883707046509,
-0.10444676876068115,
1.1320396661758423,
-0.23424452543258667,
0.1994007676839828... |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Input: Context Word: avoided.
Output: | Sentence 1: The dog avoided the bed and laid on the couch instead because sleeping on the _ was forbidden.
Answer1: bed.
Sentence 2: The dog avoided the bed and laid on the couch instead because sleeping on the _ was allowed.
Answer2: couch. | 3 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.47513240575790405,
0.2868662476539612,
-0.15152402222156525,
-0.3063862919807434,
0.6840506792068481,
-0.5440636873245239,
0.486322283744812,
1.1175813674926758,
-0.732874870300293,
-0.22613607347011566,
-0.30730724334716797,
-0.006629069335758686,
-0.4951631426811218,
-0.253536343574523... |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, answer a follow-up question from the paragraph. The paragraph has a prefix 'CONTEXT:'. Each conversation question has a prefix 'Q:' followed by answer prefix 'A:'. The final followup question has a prefix 'FOLLOWUP_Q:'.
One example is below.
Q: CONTEXT: What I've done in the past is mist some water on both sides of the bread slices, then put them in the microwave for 10-15 seconds (alternatively, an oven set at 300F/150C for 5-10 minutes will do it too).Experiment with the amount of water (but keep it low) and cooking times. You should get much softer (and warm) bread slices out of it. <sep> Q: How do I make whole multi grain bread softer? A: mist some water on both sides of the bread slices <sep> FOLLOWUP_Q: Does that make it soggy?
A: Experiment with the amount of water (but keep it low)
Rationale: Here the follow-up question asks about a way to make the bread softer. The answer (Experiment with the amount of water) is mentioned in the passage.
Q: CONTEXT: No, the fat will not render at about 50 C (122 F).However, you said core temperature, which implies the surface temperature will be higher assuming you are not cooking in a 50 C oven (which you should not, for safety reasons). If you are pre-cooking the steak at, for example 120 C (250 F), the surface will be hotter by the time the center reaches your target temperature, so you may get some rendering.Still, there is a quite simple answer: trim the excess fat. What remains should char and develop a good flavor when you sear it on the grill. <sep> Q: will the fats render when the steak is being slow cooked at low temperatures? A: the fat will not render at about 50 C (122 F Q: When will fat render ? A: at, for example 120 C (250 F), the surface will be hotter by the time the center reaches your target temperature, so you may get some rendering <sep> FOLLOWUP_Q: is there any other way to render the fat without going to such high temperature ?
A: | trim the excess fat. What remains should char and develop a good flavor when you sear it on the grill | 9 | NIv2 | task1438_doqa_cooking_answer_generation | fs_opt | [
0.5665998458862305,
-0.5319929718971252,
-0.7862527966499329,
0.5215570330619812,
0.0985829308629036,
-0.3964361548423767,
1.04047429561615,
0.863897442817688,
-0.42065778374671936,
0.02587929740548134,
0.2765200734138489,
0.17556720972061157,
-0.3342982530593872,
0.6211684942245483,
0.2... |
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'.
Input: 6261 sottrazione 7978 aggiunta 1428 aggiunta 8185 sottrazione 4310 aggiunta 7473
Output: | 11059 | 2 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.1644212305545807,
0.4795985817909241,
-0.5421568155288696,
-0.17913658916950226,
-0.46270453929901123,
-0.41364213824272156,
0.6232341527938843,
0.664567768573761,
0.38965529203414917,
-0.5763723850250244,
-1.172645092010498,
-0.18301469087600708,
-0.37481045722961426,
0.489415109157562... |
This task is about translating a given English language sentence to Yoruba language.
Q: Fire Razes Homes in Philippines
A: | Iná Sọ Àwọn Ilé Di Eérú ní Philippines | 4 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.8292900919914246,
0.9880774021148682,
0.22726501524448395,
-0.6049307584762573,
0.11247522383928299,
-0.8044034242630005,
0.4470345079898834,
0.7810415625572205,
-0.7153975963592529,
-0.210395947098732,
-0.15891246497631073,
0.4758707880973816,
-1.1464667320251465,
-0.3277756869792938,
... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Ex Input:
Verify if the sentiment of the following document towards the entity John F. Kennedy is Neutral . BOSTON (Reuters) - More than half a century after U.S. President John F. Kennedy was struck down by an assassinâs bullet in Dallas Texas the United States is due on Thursday to release the final files on the investigation into the killing that rattled a nation.
FILE PHOTO: President John F. Kennedy in an undated photograph courtesy of the John F. Kennedy Presidential Library and Museum . REUTERS/JFK Presidential Library and Museum/Handout/File Photo via REUTERS
Academics who have studied Kennedy âs slaying on Nov. 22 1963 said they expected the final batch of files to offer no major new details on why Lee Harvey Oswald gunned down the first and only Irish-American Roman Catholic to hold the office.
They also feared that the final batch of more than 5 million total pages on the Kennedy assassination held in the National Archives will do little to quell long-held conspiracy theories that the 46-year-old presidentâs killing was organized by the Mafia by Cuba or a cabal of rogue agents.
Thousands of books articles TV shows and films have explored the idea that Kennedy âs assassination was the result of an elaborate conspiracy. None have produced conclusive proof that Oswald who was shot dead a day after killing Kennedy worked with anyone else though they retain a powerful cultural currency.
âMy students are really skeptical that Oswald was the lone assassin â said Patrick Maney a professor of history at Boston College. âItâs hard to get our minds around this that someone like a loner a loser could on his own have murdered Kennedy and changed the course of world history. But thatâs where the evidence is.â
FILE PHOTO: U.S. President John F. Kennedy signs a proclamation for the interdiction of the delivery of offensive weapons to Cuba during the Cuban missile crisis at the White House in Washington DC October 23 1962. Cecil Stoughton/The White House/John F. Kennedy Presidential Library/File Photo via REUTERS
In 1992 Congress ordered that all records relating to the investigation into Kennedy âs death should be open to the public and set a final deadline of Oct. 26 2017 for the entire set to be made public.
Kennedy âs assassination was the first in a string of politically motivated killings including those of his brother Robert F. Kennedy and civil rights leader Martin Luther King Jr. that stunned the United States during the turbulent 1960s. He remains one of the most admired U.S. presidents.
Ex Output:
yes
Ex Input:
Verify if the sentiment of the following document towards the entity Rex Tillerson is Positive . BRUSSELS/BERLIN (Reuters) - On the eve of his trip to Europe Rex Tillerson gave a speech last week that European allies had waited months to hear: an âironcladâ promise of U.S. support to its oldest allies.
U.S. Secretary of State Rex Tillerson participates in a panel discussion after his remarks on U.S.-European Relations at the Wilson Center in Washington U.S. November 28 2017. REUTERS/Yuri Gripas
The question is whether European officials believe him given tensions during his April visit to Europe when Reuters reported Tillerson initially planned to skip a NATO meeting in Brussels and then only attended under pressure from allies.
âIf there were expectations that Tillerson might evolve into a counterweight to Trump someone who could pass on messages from partners and exert moderating influence over American foreign policy â those expectations have been disappointed â said Niels Annen foreign policy spokesman for Germanyâs Social Democrats in parliament.
The French have gone around Tillerson to develop contacts with U.S. Secretary of Defense Jim Mattis White House National Security Adviser H.R. McMaster and White House Chief of Staff John Kelly while the EUâs top diplomat Federica Mogherini has gone directly to Vice President Mike Pence.
One European diplomat said Tillerson was in a difficult position from the outset because the Trump administration was hostile to Iran and brought in a team of generals who took a hard line âso it never left Tillerson much room.â
Ex Output:
yes
Ex Input:
Verify if the sentiment of the following document towards the entity Alia Shawkat is Neutral . How high up the ladder does a woman need to climb before she feels her voice is heard? The unfortunate answer is that getting to the top doesnât bring any guarantees actor and start of "Search Party" Alia Shawkat told me on "Salon Talks."
âIâll be on a set with a male actor weâre both in the same role same position of power on set. And Iâll suggest an idea and itâs talked over and then heâll say it and everyone listens " Shawkat said.
Itâs an experience that too many women are familiar with no matter where they work. Shawkat is an accomplished actress with roles in cult favorites ("Arrested Development " "Transparent " "Broad City") who stars in the TBS comedic murder mystery âSearch Partyâ and is the executive producer of the upcoming film âDuck Butter."
âThereâs a hunger to gain power on set as women and literally my voice is not always heard. And thatâs the most frustrating part repeating myself " she said.
While the current societal focus is on allegations of sexual harassment and assault that have been brought to light as well as holding men in positions of power accountable for their actions Shawkat believes those steps are just the beginning to addressing gender dynamics in Hollywood. To hear more of her personal experiences feeling silenced watch the video above.
Ex Output:
| yes
| 1 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.4611135423183441,
0.15673118829727173,
-0.45865297317504883,
0.07192880660295486,
0.6653008460998535,
-0.34024471044540405,
1.000596046447754,
0.3963944613933563,
-0.18771573901176453,
0.8752402067184448,
0.7309223413467407,
0.4181349575519562,
-0.3056982755661011,
0.589796781539917,
-... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Q: What the fuck do you know about family life, priest ?
A: | Singular | 4 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.4978859424591064,
1.0231050252914429,
0.191740944981575,
0.06614601612091064,
-0.5273842811584473,
-0.5861977338790894,
0.629936933517456,
0.3221118450164795,
0.1822519749403,
-0.4081787168979645,
-0.2213590443134308,
0.06817241758108139,
-0.8580508828163147,
-0.6939452886581421,
1.25... |
Part 1. Definition
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Part 2. Example
English sentence: Lionel Messi is the greatest football player of all time
Answer: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Explanation: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
Part 3. Exercise
English sentence: Abu Sayeid Al Khudri tells us that the Prophet spoke of the position of all the prophets on the Day of Resurrection, saying, "On the Day of Resurrection I will be the master of the Children of Adam and the Banner of Praise will be in my hand, and this is not a boast.
Answer: | Ina Abbas 'inoo sheegayaa in Nabiga la hadlay ee uu shafeeco aqbalo iyo furitaanka Gates in ay Jannada, oo wuxuu ku yidhi, "Maalinta Qiyaame, waxaan noqon doonaa kii ugu Banner of mahad, iyo tani waa ka faanaa lahayn. | 7 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.16990390419960022,
0.8055378794670105,
-0.33359819650650024,
-0.36839157342910767,
-0.13508419692516327,
-1.1309505701065063,
0.5568941831588745,
0.2163938730955124,
0.5451812744140625,
-0.02740832045674324,
-0.21443188190460205,
1.6806223392486572,
-0.949705183506012,
-0.29376536607742... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
(Risate) Noterete anche che tutte queste immagini sono riprese da Beverly dall'angolatura più alta, l'angolo asciutto, a dire il vero. (Risate)
| (ضحك) سوف تلاحظون ان هذه الصور تم التقاطها من زواية عليا من قبل بيفرلي زاويتها العليا الجافة ان صح التعبير (ضحك) | 5 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.8314866423606873,
0.7708257436752319,
0.15462929010391235,
-0.18780925869941711,
0.10282047092914581,
0.1692090928554535,
0.33108586072921753,
0.3573133647441864,
0.810663104057312,
-0.28603583574295044,
-0.5199350118637085,
0.19181962311267853,
-0.07899775356054306,
0.43905109167099,
... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Problem: کمیته دفاع از بلاگرها پس از یک سال دوباره فعالیت خود را از سر گرفته است.
Solution: | The Committee to Protect Bloggers (CPB) “the first organization devoted to the free speech and personal liberty of bloggers worldwide, has come back after a 1+ year hiatus, with a tighter focus. | 4 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-1.0592191219329834,
0.38179636001586914,
-0.19663013517856598,
0.12148730456829071,
-0.37314915657043457,
-0.27701568603515625,
0.9220784902572632,
0.03747980669140816,
0.8812907934188843,
0.29698020219802856,
-0.32279297709465027,
0.5313681364059448,
-0.6770435571670532,
0.11260376870632... |
Definition: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Input: Premise: Most amphibians have four limbs, except for caecilians.
Hypothesis: Birds have four limbs.
Output: | neutral | 2 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.4920709729194641,
0.4497517943382263,
0.06905990839004517,
0.05068797245621681,
-0.30583053827285767,
-0.4759848117828369,
0.8698047399520874,
0.10649485886096954,
0.5044023990631104,
-0.4614451229572296,
-1.1937321424484253,
0.19633804261684418,
-0.5644921064376831,
0.13944187760353088... |
You will be given a definition of a task first, then some input of the task.
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : Karen Cho is an Asian-Canadian documentary filmmaker in Montreal, Quebec, Canada.
Subject : Karen Cho
Relation : residence
Output: | What city is Karen Cho from? | 1 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
0.1257990002632141,
-0.01103629544377327,
-0.33964139223098755,
-0.13850468397140503,
-0.16529832780361176,
0.6278350949287415,
-0.12062142789363861,
0.5895966291427612,
-0.3780474364757538,
-0.32307666540145874,
0.4035784602165222,
-0.07395188510417938,
-0.10878722369670868,
-0.0473207086... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Q: Question: If a fair die is rolled five times, what is the probability that a 3 occurs on at least one roll?
Option A: 25/36
Option B: 125/216
Option C: 64/107
Option D: 11/36
Option E: 36/216
A: | Option C | 4 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.5982304811477661,
-0.396557092666626,
-0.42290133237838745,
0.32502415776252747,
0.21874041855335236,
0.4832474887371063,
0.35583582520484924,
0.7862967848777771,
-0.028124859556555748,
0.20518076419830322,
-0.8190629482269287,
-0.20925627648830414,
-0.03572527691721916,
-0.1879141628742... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Q: אמא שלי תאמר שזו הייתה הרוח של סבתא שלי מהספר הכי ראשון שלי, מכיוון שנראה היה שידעתי דברים שלא הייתי אמורה לדעת.
A: | Mi madre diría que es el espíritu de mi abuela desde mi primer libro, porque parecía que supiera cosas que se suponía que no sé. | 9 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.06145882233977318,
0.4900774359703064,
0.16415518522262573,
-0.6890321969985962,
-0.32622429728507996,
-1.0930464267730713,
0.3110313415527344,
1.161632776260376,
0.6584140658378601,
-0.7580586671829224,
0.18458998203277588,
-0.295845627784729,
-1.620989203453064,
-0.2893680930137634,
... |
Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to the completion should be as reasonable as possible. Generate either Completion A or Completion B.
Example Input: Prompt: I am ready to punch the motherfuckers in their throat. Oh my science! That
Completion A: was the funny thing!
Completion B: was fun, though, was that a hit? The sound of two hands clapping together is one I've never heard before. But not today
Example Output: Completion A
Example Input: Prompt: BCU 29 FAMU 10. The FAMU Marching 100 is back,
Completion A: so get a seat at the VIP area of the venue at a time. You will receive a brand new copy of the Fuse Cover of U2
Completion B: and this time it is a little bit lighter and a little bit shorter. This Marching 100 is also a little bit lighter, and a little bi
Example Output: Completion A
Example Input: Prompt: I hate this clown-ass black man. I do not believe shithe
Completion A: black man in all he does is going to do more harm than good. That's my take. But at the end of the day, I would
Completion B: al is right- wing," said one white person to another. He told the Daily Caller that he thinks Trump is "a man of integrit
Example Output: | Completion A
| 3 | NIv2 | task139_detoxifying-lms_classification_topicality | fs_opt | [
0.3848152160644531,
-0.3030799627304077,
-0.03885740041732788,
0.01565462350845337,
-0.08513437956571579,
-0.661529541015625,
0.10350938141345978,
0.6020816564559937,
-0.16887763142585754,
0.6155608296394348,
-0.727483868598938,
0.6371766328811646,
0.5180320739746094,
-0.4860507845878601,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Chciałbym, byście ją wykorzystali i napisali list do członka rządu.
A: | Vorrei che usaste questo foglio per scrivere a un membro del governo. | 4 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.9169254302978516,
1.3572429418563843,
-0.2268940806388855,
-0.5355433225631714,
0.11856253445148468,
-1.503899335861206,
1.1245044469833374,
-0.17020630836486816,
-0.11377616226673126,
-0.56695556640625,
-0.07913471013307571,
0.34047573804855347,
-0.37818244099617004,
0.4070197343826294... |
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 your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer will be short; it will not be more than a few words.
Passage: Després d'una complicada producció, L'Imperi contraataca va ser estrenada el 21 de maig de 1980. Al principi va rebre crítiques mixtes, tot i que des de la seva estrena anà guanyant punts fins a esdevenir la més aclamada de la saga per la crítica i una de les pel·lícules més altament qualificades de tots els temps.[3][4][5][6] La pel·lícula ha recaptat més de 538 milions de dòlars a tot el món entre la seva estrena original i les múltiples reedicions. Si es té en compte l'ajustament degut a la inflació, es tracta de la 12a pel·lícula més taquillera dels Estats Units i Canadà de tots els temps fins a l'any 2012.[7]
Question: Quin dia es va estrenar la pel·lícula?
Solution: 21 de maig de 1980
Why? The output, which is the correct answer to the question can be found in the first line of the passage.
New input: Passage: Des de 1998 es va restaurar totalment la primera planta, reforçant l'estructura del seu terra, canviant els bigams de fusta deteriorats de l'edifici original de 1875 que havien estat reciclats per Gaudí,[74] una intervenció que, lògicament, va comportar restaurar el sostre del pis noble. Es restaura l'ascensor el 1999 [75] i es fa una intervenció de consolidació de la façana que presentava zones amb risc de despreniments. A partir de l'any 2000, i en preparació per a la celebració de l'any Gaudí 2002, es va realitzar una restauració intensa de la façana amb la recuperació de vidres i trencadís, es van regenerar juntes mancades de morter i es va fer un tractament fungicida. Els balcons, la fusteria i les peces ceràmiques rodones trencades varen ser revisades i arreglades.
Question: De quin any és l'edifici original?
Solution: | 1875 | 0 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.6451510190963745,
0.8505639433860779,
-0.6649661064147949,
0.15351232886314392,
-0.004592667333781719,
-0.21672911942005157,
0.7846788167953491,
1.0038866996765137,
-0.031618569046258926,
-0.13683125376701355,
-0.6543106436729431,
0.33012229204177856,
-0.737370491027832,
-0.1901301145553... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Ex Input:
What posthumous service did Lowe perform on Whitehead's behalf?, Context: The two volume biography of Whitehead by Victor Lowe is the most definitive presentation of the life of Whitehead. However, many details of Whitehead's life remain obscure because he left no Nachlass; his family carried out his instructions that all of his papers be destroyed after his death. Additionally, Whitehead was known for his "almost fanatical belief in the right to privacy", and for writing very few personal letters of the kind that would help to gain insight on his life. This led to Lowe himself remarking on the first page of Whitehead's biography, "No professional biographer in his right mind would touch him."
Ex Output:
biography
Ex Input:
What is Compass-M1 like, Context: Compass-M1 is an experimental satellite launched for signal testing and validation and for the frequency filing on 14 April 2007. The role of Compass-M1 for Compass is similar to the role of the GIOVE satellites for the Galileo system. The orbit of Compass-M1 is nearly circular, has an altitude of 21,150 km and an inclination of 55.5 degrees.
Ex Output:
GIOVE
Ex Input:
How is the OKCFD organized?, Context: Oklahoma City is protected by the Oklahoma City Fire Department (OKCFD), which employs 1015 paid, professional firefighters. The current Chief of Department is G. Keith Bryant, the department is also commanded by three Deputy Chiefs, who – along with the department chief – oversee the Operational Services, Prevention Services, and Support Services bureaus. The OKCFD currently operates out of 37 fire stations, located throughout the city in six battalions. The OKCFD also operates a fire apparatus fleet of 36 engines (including 30 paramedic engines), 13 ladders, 16 brush patrol units, six water tankers, two hazardous materials units, one Technical Rescue Unit, one Air Supply Unit, six Arson Investigation Units, and one Rehabilitation Unit. Each engine is staffed with a driver, an officer, and one to two firefighters, while each ladder company is staffed with a driver, an officer, and one firefighter. Minimum staffing per shift is 213 personnel. The Oklahoma City Fire Department responds to over 70,000 emergency calls annually.
Ex Output:
| 37 fire stations, located throughout the city in six battalions
| 1 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
-0.2751767933368683,
0.21524181962013245,
-0.552727460861206,
-0.46882355213165283,
1.051335096359253,
-0.43561673164367676,
0.8056372404098511,
0.8422570824623108,
-0.0349847674369812,
0.4717813730239868,
-0.7044786214828491,
-0.3417905569076538,
-0.520447850227356,
0.046683959662914276,
... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
--------
Question: In contrast to stimulation by cytokines , the activation of STAT1 in response to CD2 ligation is delayed and does not involve Jak kinases .
Answer: Jak kinases
Question: In addition , Scatchard plot analysis of 125I - labeled IL - 2 showed that Dex did not affect the binding of IL - 2 , thus suggesting that inhibition is due to a postreceptor effect .
Answer: IL - 2
Question: These findings present major differences in the early cell activation process between LPS and muramyl peptides , and strongly argue for the implication of co - receptors other than TLR2 and TLR4 in mediating the signaling events induced by defined subunits of bacterial peptidoglycans .
Answer: | co - receptors
| 7 | NIv2 | task1480_gene_extraction_jnlpba_dataset | fs_opt | [
-0.5506007671356201,
0.3141827881336212,
-0.4501768946647644,
-0.07673272490501404,
-0.28140777349472046,
-0.08402420580387115,
0.4453310966491699,
0.264645516872406,
-0.2111314833164215,
-0.36435383558273315,
-0.9977763891220093,
-0.48884057998657227,
-0.8134496212005615,
0.08389934152364... |
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Q: Abstract: A retrospective study of patients patch tested between 1968 and 1970 was undertaken and case records of 200 patients with unequivocal positive patch tests were studied for age and sex distribution. There was an overall female preponderance (61%), with 2 peaks of incidence in the 10-20 and 40-50 year age groups in females, but only 1 peak of incidence in the 40-50 year age group in males. There was a steady decline in all sensitivities after the 6th decade of life in both sexes. Nickel sensitivity was more common in females (92%), whereas dichromate sensitivity predominated in males (64%). Of the 200 patients, only 5(2.5%) were atopics, all of whom were females.
A: | Adolescence | 4 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.038834355771541595,
0.3331391215324402,
-0.5247105956077576,
-0.6850931644439697,
0.04443066567182541,
-0.698875904083252,
0.678333044052124,
1.0279285907745361,
0.8485405445098877,
0.5236949920654297,
-0.5915540456771851,
0.8043307065963745,
-1.303558111190796,
0.41993072628974915,
0.... |
Definition: 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.
Input: [30, -15, -93, -1, 61, 1, 54, -89]
Output: | [45, 78, 92, 62, 60, 53, 143] | 2 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.6001981496810913,
-0.2200489640235901,
-0.6978697776794434,
-0.03344308212399483,
-0.16210529208183289,
-0.2543089985847473,
0.6553677320480347,
0.09221157431602478,
0.44780462980270386,
-0.20050710439682007,
-0.6881974935531616,
-0.13128715753555298,
-0.17200714349746704,
-0.3666430115... |
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