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 |
|---|---|---|---|---|---|---|
Teacher:Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, you should answer with Good.
Teacher: Now, understand the problem? Solve this instance: On what day was california admitted to the union ?
Student: | Good | 6 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.5897423028945923,
0.45288074016571045,
-0.2093261033296585,
-0.29220277070999146,
-0.8463574051856995,
-0.559045135974884,
0.6845505237579346,
0.46033090353012085,
-0.2088998258113861,
-0.10575259476900101,
-0.13233456015586853,
-0.20929217338562012,
-0.22730490565299988,
-0.42471784353... |
Teacher: In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question: Which is an example of a renewable energy resource? Answer: Biomass
Solution: Biomass is an example of a renewable energy resource.
Reason: The output clearly summarizes the question and answer and hence is correct
Now, solve this instance: Question: What kind of potentially harmful compounds can barbecuing food create? Answer: carcinogens
Student: | Carcinogens kind of potentially harmful compounds can barbecuing food create. | 2 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.45133256912231445,
0.8324352502822876,
-0.13971549272537231,
-0.009868928231298923,
-0.5938107967376709,
-1.1948521137237549,
1.313392162322998,
1.2191681861877441,
-0.04248616099357605,
-0.1333136409521103,
-0.0936102420091629,
0.2750159800052643,
-0.33875882625579834,
-0.23121961951255... |
Detailed Instructions: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
Q: Passage: For many native populations, the elimination of French power in North America meant the disappearance of a strong ally and counterweight to British expansion, leading to their ultimate dispossession. The Ohio Country was particularly vulnerable to legal and illegal settlement due to the construction of military roads to the area by Braddock and Forbes. Although the Spanish takeover of the Louisiana territory (which was not completed until 1769) had modest repercussions, the British takeover of Spanish Florida resulted in the westward migration of tribes that did not want to do business with the British, and a rise in tensions between the Choctaw and the Creek, historic enemies whose divisions the British at times exploited. The change of control in Florida also prompted most of its Spanish Catholic population to leave. Most went to Cuba, including the entire governmental records from St. Augustine, although some Christianized Yamasee were resettled to the coast of Mexico. Question: What did the loss mean to France?
A: | True | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.1479494273662567,
0.5000026822090149,
-0.9432557225227356,
-0.8505586385726929,
-0.27291378378868103,
-0.4741266965866089,
0.3549463748931885,
1.0784310102462769,
0.7297117114067078,
-0.0655631273984909,
-0.5385583639144897,
-0.13594645261764526,
-0.868816614151001,
-0.17358215153217316,... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Ex Input:
Event:PersonX returns to PersonY's village. Intent:. XEmotion: 1) exhausted.
Ex Output:
hospitable towards personx
Ex Input:
Event:PersonX feels the same way. Intent:. XEmotion: 1) successful 2) well-liked
Ex Output:
togetherness
Ex Input:
Event:PersonX crosses PersonY's arms over PersonY's chest. Intent:. XEmotion: 1) improved
Ex Output:
| gratefull
| 1 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.07578147202730179,
0.01864718645811081,
-0.04067602753639221,
-0.1615728735923767,
-0.866992712020874,
-0.7512099742889404,
1.3358080387115479,
0.47458040714263916,
-0.07238426804542542,
-0.3602558374404907,
0.09767638146877289,
0.3033113479614258,
-0.5519005656242371,
0.3840515315532684... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
מה מייחד את המוח האנושי?
Solution: 人の脳の何がそんなに特別なのでしょうか ？
Reason: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Now, solve this instance: ומכאן נובע שקל מאד לערער עליהם.
Student: | それを踏まえると難しい争点になりそうです | 2 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.4671841859817505,
0.11813525855541229,
0.6498187184333801,
-0.8296900391578674,
-0.616476833820343,
-0.3724808096885681,
0.7940247058868408,
-0.6084587574005127,
0.733083963394165,
-1.0726335048675537,
-0.7136428356170654,
0.07315512746572495,
-0.7255973815917969,
0.7480494379997253,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Por iso estamos a proba-lo noso modelo agora mesmo e estamos intentando descubrir se pode atraer un grupo de actores capaces e con ganas de darlle vida a INCRA.
ולכן, אנו בוחנים את המודל שלנו כרגע, ולמה אנו מנסים למצוא אם זה יכנס יחדיו קבוצה של שחקנים שמוכנים ומסוגלית לעורר את INCRA לחיים.
Saben que os dous anos máis perigosos da súa vida son o ano en que se nace, por mor da mortalidade infantil e o ano no que te xubilas.
אתם יודעים השנים הכי מסוכנות בחיים שלכם הן השנה בה נולדתם, בגלל תמותת תינוקות, ושנת הפרישה שלך,
Eu son un ecólogo, sobre todo, un ecólogo de arrecifes de coral.
| אני אקולוג, בעיקר אקולוג של שוניות אלמוגים.
| 0 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.9358890056610107,
0.6616293787956238,
-0.010103441774845123,
-0.06726765632629395,
-0.37538331747055054,
-1.1888527870178223,
-0.1856379210948944,
0.16654592752456665,
0.022962667047977448,
0.5283676385879517,
-0.3240901529788971,
0.31056612730026245,
-1.0109034776687622,
-0.07530087232... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Input: Consider Input: Category: ORGANIZATIONS
Clue: This service "Club" has a 4-way test of things they think, say & do, including "Will it be beneficial to all concerned?"
Output: the rotary club
Input: Consider Input: Category: 20TH CENTURY PRESIDENTS
Clue: The Profile in Courage Award is presented on or near the anniv. of his birth; he would have been 80 May 29, 1997
Output: john f. kennedy
Input: Consider Input: Category: A CANDY-GORY
Clue: This Peter Paul candy bar, coconut in bittersweet chocolate, has been around since 1920
| Output: mounds
| 2 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.4064585566520691,
0.9881950616836548,
-0.011008592322468758,
-0.12336800247430801,
0.16854077577590942,
-0.22981978952884674,
0.3349090814590454,
-0.4224824905395508,
0.560217022895813,
0.263248085975647,
-0.26376640796661377,
0.34973180294036865,
-0.4304453432559967,
-0.069190084934234... |
Instructions: 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)].
Input: ["we've", 'talked', 'a', 'little', 'bit', 'about', 'the', 'law', 'of', 'demand', 'which', 'tells', 'us', 'all', 'else', 'equal', 'if', 'we', 'raise', 'the', 'price', 'of', 'a', 'product', 'then', 'the', 'quantity', 'demanded', 'for', 'that', 'product', 'will', 'go', 'down', 'common', 'sense', 'if', 'we', 'lower', 'the', 'price', 'and', 'the', 'quantity', 'demanded', 'will', 'go', 'up', 'and', "we'll", 'see', 'so', 'a', 'few', 'special', 'cases', 'for', 'this', 'but', 'what', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'focus', 'on', 'these', 'other', 'things', 'that', "we've", 'been', 'holding', 'equal', 'the', 'things', 'that', 'allow', 'us', 'to', 'make', 'this', 'statement', 'that', 'allow', 'us', 'to', 'move', 'along', 'this', 'curve', 'and', 'think', 'about', 'if', 'we']
Output: | ['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', 'PUNCUATION_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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_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', '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', 'NO_DIFF', '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', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.04859647527337074,
0.12808582186698914,
-0.025488082319498062,
0.14065688848495483,
0.28731366991996765,
-0.2290915548801422,
0.26719653606414795,
0.7486729621887207,
-0.5544370412826538,
0.4602244794368744,
-0.15830907225608826,
-0.38039207458496094,
-0.5850749015808105,
-0.260105192661... |
Teacher:In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
Teacher: Now, understand the problem? Solve this instance: شرکتهای تجارتی چون بازرگان شناخته میشوند، مشمول مقررات ورشکستگی میشوند ولی شریکان و مدیران آنها چون تاجر نیستند مشمول این مقررات نخواهند شد. برای تقسیم داراییهای ورشکسته، بستانکاران نسبت به هم حق تقدمی ندارد ولی در حالت معسر، هر بستانکاری که زودتر اقدام نماید به نتیجه خواهد رسید.
Student: | کدام شرکت مشمول مقررات ورشکستگی است؟ | 6 | NIv2 | task468_parsinlu_rc_question_generation | zs_opt | [
-0.3010867238044739,
0.5755597352981567,
-0.11575514078140259,
-0.17191451787948608,
-0.5603081583976746,
0.8759385347366333,
0.8306622505187988,
0.5851667523384094,
0.29971373081207275,
-0.3911683261394501,
-0.8385992050170898,
0.31495553255081177,
-0.09952758252620697,
0.2641033530235290... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Example Input: Pero houbo unha cámara que non descubriron e foi a dun rapaz que entrou simplemente cunha cinta foi ao departamento de cámaras de Best Buy meteu a cinta nunha das cámaras e fixo como que mercaba.
Example Output: Jedyny kamerzysta, którego nie udało im się ująć, przyszedł z czystą taśmą, udał się do działu z kamerami, włożył taśmę do jednej z nich i udawał, że robi zakupy.
Example Input: Ollei as súas mans namentres bañaba a unha anciá.
Example Output: Patrzyłam na jej ręce, gdy kąpała starszego człowieka.
Example Input: E comeza agora mesmo e depende de vós.
Example Output: | Wszystko zaczęło się teraz, i zależy tylko od was.
| 3 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.6215466856956482,
1.0147922039031982,
-0.9217007160186768,
-0.3511974811553955,
0.007653682958334684,
-0.6182140111923218,
0.6006670594215393,
0.6009266376495361,
-0.7886092662811279,
0.0567341148853302,
-0.28166890144348145,
0.28991058468818665,
-0.33499038219451904,
0.1591330915689468... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
--------
Question: Вы можете пойти в библиотеку и забрать газету бесплатно.
Answer: Вы можете бесплатно пойти в библиотеку и прочитать газету.
Question: Вы, скорее всего, заметите чашку кофе в кофейной буфете.
Answer: Вы, скорее всего, сформируете чашку кофе в кофейне.
Question: Мозг получает повешение.
Answer: | Мозг управляет телом.
| 7 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.5144912004470825,
0.49839192628860474,
0.03518180549144745,
-0.7289880514144897,
-0.3215503394603729,
-0.3645961284637451,
0.7938570976257324,
1.1201467514038086,
0.9180831909179688,
-0.9833009839057922,
-0.8210405111312866,
-0.45151039958000183,
-0.6957947611808777,
0.6183680295944214,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Question: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Solution: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.
Why? The output says that ILC2s are elevated in patients with CRSwNP and that they may drive nasal polyp formtion in CRS. The output also says that ILC2s are linked with blood eosinophilia and hence, it completely answers the question on the basis of the information in the context.
New input: Context: To study the role of beta1 integrins in left ventricular (LV) remodelling after myocardial infarction (MI).', 'LV structural and functional alterations were determined in wild-type (WT) and beta1 integrin heterozygous knockout (hKO) mice one month after MI. MI increased beta1 integrin expression in both groups; however, the increase was lower in hKO. Infarct size was similar in WT and hKO mice, whereas lung wet weight to dry weight ratio was increased in the hKO-MI mice (5.17 (SE 0.13) v 4.60 (0.15) in WT-MI, p < 0.01). LV end systolic and end diastolic diameters were significantly higher and percentage fractional shortening was significantly lower in hKO-MI. The ratio of peak velocity of early LV filling (E wave) to that of the late LV filling (A wave) and the isovolumic relaxation time (IVRT) were increased in both MI groups but the increase in IVRT was significantly higher in hKO-MI group than in WT-MI mice. Langendorff perfusion analysis indicated reduced peak LV developed pressure and increased LV end diastolic pressure in both MI groups. The reduction in peak LV developed pressure (36.7 (2.2) v 53.4 (1.9) mm Hg, p < 0.05) and increase in LV end diastolic pressure was higher in hKO-MI than in WT-MI. Increase in fibrosis was not different between the two MI groups. The increase in myocyte circumference was higher in the hKO-MI group (p < 0.001 v WT-MI). The number of apoptotic myocytes was significantly higher in hKO-MI than in WT-MI mice (p < 0.005) three days after MI. The number of necrotic myocytes was not different between the two MI groups.\Question: Does deficiency of beta1 integrins result in increased myocardial dysfunction after myocardial infarction?
Solution: | beta1 integrins are crucial in post-MI remodelling with effects on LV function, hypertrophy and apoptosis. | 0 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.26158517599105835,
0.40098610520362854,
-0.3305402398109436,
-0.08137910068035126,
0.5972889065742493,
-0.34630686044692993,
0.29315853118896484,
0.5891206860542297,
-0.06653191149234772,
0.09739378094673157,
-0.353495717048645,
-0.18717411160469055,
-0.7894585132598877,
0.38127583265304... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Q: Context Word: Icing.
A: | PersonX borrowed powdered sugar from PersonY to make icing because _ did not have any. | 4 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.3105835020542145,
1.0211181640625,
0.6202623844146729,
-0.10249113291501999,
0.24073970317840576,
-0.5820328593254089,
0.5195629596710205,
0.47897064685821533,
-0.37709349393844604,
-0.7270209789276123,
0.058165207505226135,
-0.27992865443229675,
-0.14182454347610474,
0.18066251277923584... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
question:
オリジナルな偉人の多くには素早く着手し仕上げに時間が掛かるという特徴があります
answer:
O que vemos en moitos dos grandes orixinais é que comezan rápido pero tardan en rematar.
question:
実際、教本のおかげでひどい事態は免れます
answer:
E preveñen os desastres.
question:
宗教と風刺漫画というのは聞いたことがあるかもしれないけど 2005年のあの日から相容れないものとなりましたデンマークの漫画家が何人も集まって世界中に反響をもたらす漫画を描きデモや死刑宣告につながりましたそれは暴力を招き人が死にました
answer:
| As viñetas relixiosas e políticas, como xa teredes oído, son unha parella complicada, dende aquel día de 2005, cando uns cantos debuxantes de Dinamarca fixeron unhas viñetas que tiveron repercusión mundial, manifestacións, fatwa. Provocaron violencia. Houbo xente que morreu por iso.
| 9 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
0.14218026399612427,
0.4036754369735718,
-0.020698420703411102,
-0.39744478464126587,
-0.21858058869838715,
-0.6603670716285706,
0.14548572897911072,
0.11224628984928131,
-0.26939865946769714,
-0.3441556394100189,
-0.3065626621246338,
0.4718361794948578,
-0.6935470104217529,
0.434800118207... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
One example is below.
Q: [3, 0, 3, 8]
A: [3, 3]
Rationale: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example.
Q: [122, 186, 65, 57, 18, 18, 29, 1]
A: | [65, 57, 29, 1] | 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.3069823682308197,
0.18588168919086456,
-0.48370230197906494,
-0.7795246839523315,
0.27887988090515137,
-0.3718845844268799,
0.9704225659370422,
0.07951052486896515,
-0.6984269022941589,
0.1713147610425949,
-0.7780177593231201,
0.25525182485580444,
-0.1852342039346695,
-0.845650076866149... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Q: Entity 1: carrot
Entity 2: body
A: | no | 4 | NIv2 | task472_haspart_classification | zs_opt | [
-0.5567963719367981,
0.6737363934516907,
0.8814888000488281,
0.2479192018508911,
-0.17164847254753113,
-0.6146302223205566,
0.12368998676538467,
0.229760080575943,
0.410983681678772,
-0.8561934232711792,
-0.13894769549369812,
-0.21246306598186493,
-0.6713109016418457,
0.34075233340263367,
... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both sets. An element is at the intersection of two given sets, A and B, if common to both A and B. Classify your answers into 'Yes' or 'No'.
One example: Set1: '{1, 6, 10, 12, 13, 14, 15, 16}', Set2: '{1, 2, 4, 6, 11, 14, 15, 20}'. Is the element '11' in the intersection of Set1 and Set2 ?
Solution is here: No
Explanation: The intersection of Set1 and Set2 is {1, 6, 14, 15}. 11 is not an element of this set. So, the answer is No.
Now, solve this: Set1: '{4, 5, 7, 8, 9, 11, 12, 17, 18}', Set2: '{1, 2, 9, 10, 13, 14, 15, 16, 18, 19}'. Is the element '2' in the intersection of Set1 and Set2 ?
Solution: | No | 6 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.2902292013168335,
0.02214765176177025,
-0.06219496577978134,
0.28696340322494507,
-0.18301524221897125,
-0.5362366437911987,
0.6413599252700806,
0.8272671699523926,
-0.28147614002227783,
0.14528360962867737,
-0.7095574140548706,
-0.1609073430299759,
0.10561392456293106,
-0.38673454523086... |
Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Input: Sentence: 'a young man wearing a pink shirt trying on several ties'. How many words end with the letter 'k' in the sentence.
Output: | 1 | 3 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.016123680397868156,
1.2339744567871094,
-0.28347355127334595,
-1.2157602310180664,
-0.9200867414474487,
0.0060328212566673756,
0.7834340333938599,
0.11341510713100433,
0.02275688946247101,
0.06801484525203705,
-0.5661254525184631,
0.07020367681980133,
-0.19276806712150574,
0.27255102992... |
TASK DEFINITION: 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.
PROBLEM: Question: Comparing the city in which Ptacek was born with the US city to which his family settled in, which city is larger in size? Passage 1:Secretary of State for Employment and Productivity Barbara Castle introduced an Employed Persons (Health and Safety) Bill in 1970 but the debate around the Bill soon generated a belief that it did not address fundamental issues of workplace safety. In the same year, the Occupational Safety and Health Act was passed into United States federal law. As a result, a committee of inquiry chaired by Lord Robens was established towards the end of Harold Wilson's first government. When the Conservative Party came to power following the 1970 United Kingdom general election, they gave Castle's Bill no parliamentary time, preferring to wait for the Robens Report which was published in 1972. Conservative Secretary of State for Employment William Whitelaw introduced a new Bill on 28 January 1974 but Labour were returned to power in the February 1974 United Kingdom general election and the Bill again lost. The new Labour administration finally secured the passage of a Bill that year.
Passage 2:June started with striker Mark Stewart having the second year of his contract cancelled. Following this Turnberry Homes signed a new two-year deal to continue as the club's shirt sponsors. Bobby Barr became the club's second signing of the summer, joining on a year long deal from Raith Rovers. Ross Forbes was announced as the club's third summer signing on 11 June - signing a season long deal nine years after a loan spell with the club. A day later the club's top scorer from the 2017–18 season, Calum Gallagher, signed a new one-year deal. The week ended with Grant Adam becoming the club's fourth signing of the summer, joining on a one year deal from Forfar Athletic. His arrival was followed by that of striker Rory Loy, who joined after leaving Falkirk, however Danny Handling turned down a new deal with the club to join Scottish League Two side Edinburgh City. Stuart Carswell was the next player to commit himself for another season, signing a new one-year deal after 54 appearances and two goals in his 18 months at the club. The following week defenders Ross Perry and Cammy Ballantyne signed for the club on year-long deals, and they were joined by Ryan Thomson who joined after leaving Stranraer. A day after signing Thomson marked his debut with a goal, which was added to by strikes from Calum Gallagher and Iain Russell (playing as a trialist) as Dumbarton overcame Lowland League side East Kilbride in their first friendly of the season.
Passage 3:Ptacek was born in East Berlin to a family of Czech and German descent. His family fled East Germany for the United States when he was five years old. They eventually settled in Chicago, where young Ptacek was first exposed to blues music. He moved to Tucson in the early 1970s, where he began his own musical career, most often solo, but sometimes he plugged in and led a trio as Rainer & Das Combo. He co-founded Giant Sandworms with Howe Gelb in the late 1970s. When the band decided to move to New York and became Giant Sand, Ptacek opted to stay in Tucson to make sure that he would not disrupt his then-new family. Although he never became well known in the United States, he became more and more recognized in Europe. ZZ Top guitarist Billy Gibbons was so impressed with the singer-guitarist that he arranged to have Kurt Loder review Ptacek's "Mush Mind Blues" cassette in Rolling Stone. Ptacek later traveled to Houston at the invitation of Billy Gibbons to record at Gibbons' Gold Star Sound Services studio which saw release as "The Texas Tapes" meeting international attention and approval. Robert Plant, similarly impressed, flew Ptacek to England for the sessions for B-sides to supplement the singles from Fate of Nations.
SOLUTION: 3
PROBLEM: Question: How old was Nehru's great uncle when he was born? Passage 1:The Eagles competed in three tournaments during the 2016–17 season, the first of which took place during the traditional opening of the college hockey season at the 20th annual Ice Breaker Classic. Played on October 7 and 8 at Magness Arena in Denver, Colorado, the tournament showcased the Eagles playing Air Force in the first round, where they would lose a tight 2-1 match. Boston College faced host Denver in the consolation round, picking up a 3-1 victory for their first win of the season. Air Force would defeat Ohio State in the championship. The Eagles had previously won the ice breaker tournament three times; making their fifth appearance this season. The second tournament of the season took place during the holiday break, where the Eagles made the trip to the PPG Paints Arena in Pittsburgh, Pennsylvania for their second appearance in the Three Rivers Classic in its fifth annual year. The Eagles fell 3–1 to the Quinnipiac Bobcats in the opening round, but picked up the 3rd-place result against Ferris State in the consolation round, winning the (unofficial) shootout of the (official) 1–1 tie. Boston College previously won the title in their first appearance at the tournament in 2012. For their final tournament of the season, the Eagles played in the 65th Annual Beanpot Tournament at the TD Garden in Boston, Massachusetts on February 6 and 13. Boston College lost to rival Boston University 3–1 in the opening round (suffering their first season sweep against the Terriers since 1994–95), and were defeated by Northeastern 2–4 in the consolation game, marking the first 4th place finish for the Eagles since 1993 and the first of Jerry York's tenure.
Passage 2:Nehru was born in Allahabad, Uttar Pradesh, India and was son of Brijlal Nehru and Rameshwari Nehru He was educated at the Allahabad University (India), the London School of Economics and at Oxford University. He was awarded the Doctor of Literature degree by the University of Punjab, for his distinguished services in various fields. His grandfather, Pandit Nandlal Nehru, was the elder brother of Pandit Motilal Nehru. He was the cousin to the erstwhile Prime Minister of India, Indira Gandhi (née Nehru). In 1935, Nehru married Magdolna Friedman (5 December 1908, Budapest, Austria-Hungary - 25 April 2017, Kasauli, Himachal Pradesh, India), a fellow student in the UK who was of an Austrian Jewish background. The ill-treatment of the Jewish community in Europe prompted her father to change her name to Magdolna Forbath. Her nickname was Fori. After marriage, she changed her name to Shobha Nehru. He had four sons named Aditya Nehru, Ashok Nehru and Anil Nehru.
Passage 3:Robertson moved to Central States Wrestling, where he won the majority of his titles. On October 22, 1981, he won the NWA Central States Television Championship with a victory over Gene Lewis. He lost the belt to Oliver Humperdink later that year but soon regained it in a rematch. On February 18, 1982, however, he dropped the belt back to Lewis. This allowed Robertson to focus on the NWA Central States Tag Team Championship, which he won a total of five times. His first reign came in October 1981 when he teamed with Rufus R. Jones to defeat Buzz Tyler and James J. Dillon. His next reign came in March 1982 when he teamed with Steve Regal to win the belts from Roger Kirby and Jerry Valiant. The title changed hands twice more that month, as Kirby and Valiant quickly regained the title only to drop it back to Robertson and Regal. Two months later, Kirby and Valiant won the belts back again. Robertson found a new partner, however, and won the championship by teaming with Hercules Hernandez in August. The reign lasted less than a month, but Robertson and Hernandez held the belts one final time after another victory in September 1982. The following year, Robertson's main success came as a singles wrestler. On February 10, 1983, he won the NWA Central States Heavyweight Championship with a victory over Manny Fernandez. He lost the belt to Bob Brown two months later but regained it in a rematch the following week. Robertson's final title reign ended when he dropped the title to Race on June 2, 1983.
SOLUTION: 2
PROBLEM: Question: What state was the USS Crosby in when it was clearing on February 27, 1943? Passage 1:When the Second World War broke out in September 1939, Norway followed a policy of neutrality, as it had successfully done during the First World War, hoping to stay out of the war once again engulfing Europe. So Norway was at peace in April 1940 when it was suddenly attacked by naval, air and military forces from Nazi Germany. Unlike in the First World War, the Norwegian military was only partially mobilised, with the Royal Norwegian Navy and the coastal artillery being set up with skeleton crews. The Norwegian Army activated only a few battalions in North Norway (amongst others the Alta Battalion) as a precaution in connection with the Soviet Winter War invasion of Finland. Although the Norwegian Government had carried out a hurried modernisation of the military in the second half of the 1930s, the armed forces were still in a shambles. Effects of the wide-ranging budget reductions carried out during the pacifist policies of the late 1920s and early 1930s were still apparent. In 1940, the Norwegian armed forces were among the weakest in Europe.
Passage 2:Blackpool Borough were the first professional rugby league club in the town. However, they eventually folded after leaving the town in 1987. Blackpool Panthers were formed in 2004 and played in Co-operative Championship One. They ground-shared at Bloomfield Road then in 2007 at Woodlands Memorial Ground, the home of Fylde Rugby Club in the neighbouring town of Lytham St Annes. The club ceased to exist after the 2010 season due to lack of finance. Blackpool also has a rugby union club, called Blackpool RUFC. Their home ground is Norbreck Rugby Ground. The resort formerly held the now discontinued Northern Rail Cup Final at Bloomfield Road, a Rugby League knockout competition for all clubs outside of the Super League attracting many thousands of visitors.
Passage 3:Clearing San Francisco on 27 February 1943, Crosby sailed by way of Pearl Harbor, Samoa, Viti Levu, and Noumea to Espiritu Santo, arriving on 27 March for training exercises with the 4th Marines. Beginning the active service which was to bring her a Navy Unit Commendation, Crosby sailed on 29 April for Guadalcanal as a transport screen. She made two similar voyages until 6 June, and then reported for patrol and escort duty in the Solomons. Crosby aided in the consolidation of the Solomons, landing troops on New Georgia between 30 June and 5 July; on the Treasury Islands under heavy gunfire on 27 October; and on Bougainville on 6 and 17 November. She sailed on 21 November for overhaul at Brisbane, Australia, returning to Milne Bay, New Guinea on 12 December. She trained Army and Marine personnel in amphibious landings, then landed troops at Cape Gloucester, New Britain, between 24 and 29 December 1943 and at Dekays Bay, New Guinea on 2 January 1944.
SOLUTION: | 3
| 8 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.5721955299377441,
0.7121975421905518,
-0.991841733455658,
0.39946889877319336,
0.9097974896430969,
0.2548173666000366,
1.4108145236968994,
0.8072347640991211,
-0.10838654637336731,
0.3031684458255768,
0.13878503441810608,
0.6634930372238159,
-0.7976707816123962,
-0.001713399775326252,
... |
Q: 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.
gas can be used as the opposite of liquid
A: | gas Antonym liquid | 7 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.590478241443634,
1.6140772104263306,
0.4741595983505249,
-0.9081463813781738,
-0.3583042621612549,
-1.709985375404358,
0.6567481756210327,
0.47476768493652344,
0.2401932030916214,
-0.2237788736820221,
-0.6132310628890991,
-0.0753418430685997,
-0.4789413511753082,
-0.28143030405044556,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Problem:これが同じサンゴ礁ですこちらが15年前の同じサンゴ礁でこれが現在の様子です
Solution: | Este é o mesmo arrecife. Este é o mesmo arrecife de hai 15 anos. Este é o mesmo arrecife hoxe. | 8 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.13540886342525482,
0.302196741104126,
-0.6552151441574097,
-0.5337294936180115,
-0.1290683150291443,
-1.0457617044448853,
0.683515727519989,
1.0345253944396973,
-0.501826286315918,
-0.7095035314559937,
0.18775956332683563,
0.7194157838821411,
-0.5954040884971619,
0.3619062900543213,
-0... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: તમે આ રીતે અમારી કામગીરીની પ્રશંસા કરી એ બદલ હું તમારો આભારી છું. મને એ જાણીને આનંદ પણ થયો છે કે તમે હૈદરાબાદમાં અગાઉ તાલીમ માટે થોડો સમય પણ પસાર કર્યો છે.
Output: | আমি একথা জানাতে পেরে খুবই আনন্দিত যে, গত তিন বছরে বৃহৎ অর্থনীতিরমাপকাঠিতে ভারতের উন্নতি ঘটেছে উল্লেখযোগ্য মাত্রায়। | 2 | NIv2 | task1068_pib_translation_gujarati_bengali | zs_opt | [
-0.7252163290977478,
0.30547380447387695,
0.10913050174713135,
0.0492355078458786,
0.4090745449066162,
-1.0245566368103027,
0.7923945784568787,
-0.34986233711242676,
0.3984937071800232,
-0.39135637879371643,
-0.948077917098999,
-0.1627996265888214,
-0.46677452325820923,
0.7099307775497437,... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Ser atropellado no es algo fácil.
A: | Being run over is never easy. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.41813260316848755,
0.7414522171020508,
0.6148052215576172,
-1.1353918313980103,
-0.38220542669296265,
-0.7866906523704529,
0.4729212522506714,
0.7448590397834778,
0.2748611867427826,
-0.32675403356552124,
0.12960657477378845,
-0.06358113884925842,
-0.35157179832458496,
0.480526447296142... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Sentence1: pesticides cause pollution.
Sentence2: pollution can harm animals.
Solution: pollution.
Why? The word "pollution" is common to Sentence1 and Sentence2. So, it's a good answer.
New input: Sentence1: Animals are a kingdom of multicellular eukaryotes.
Sentence2: Horses are domestic animals.
Solution: | Animals | 0 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.021963894367218018,
0.8113901615142822,
0.03895100578665733,
-0.3338516354560852,
-0.16362053155899048,
-0.703761100769043,
0.11969522386789322,
0.7546199560165405,
-0.31844139099121094,
-0.5039248466491699,
-1.1052587032318115,
-0.11420343816280365,
-0.2502736449241638,
0.1122870147228... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['f', '5575', '9987', 'f', '9675', '8639', 's', 'p', '7443', '8381', '1111', '1501', 'M', '6413', 'U', 'C', 'M', '6755', 'k', '307', 'r', '1299', '4311', '7139', 't', 's', '6689', 'k', 'i', 'x', 'l']
A: | 15 | 7 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.18873761594295502,
0.28209900856018066,
-0.3788312077522278,
-0.1344929039478302,
-0.019857697188854218,
-0.4834885597229004,
0.335693359375,
0.29145994782447815,
-0.6224192380905151,
0.5070927739143372,
-0.6420383453369141,
0.8409894704818726,
-0.24923335015773773,
0.09847155958414078,... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
greater { hop { filter_eq { all_rows ; celebrity ; paweł stasiak } ; average } ; hop { filter_eq { all_rows ; celebrity ; paolo cozza } ; average } } = true
| select the rows whose celebrity record fuzzily matches to paweł stasiak . take the average record of this row . select the rows whose celebrity record fuzzily matches to paolo cozza . take the average record of this row . the first record is greater than the second record . | 5 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.14901861548423767,
-0.09105818718671799,
-0.008645162917673588,
0.19058433175086975,
0.14913594722747803,
-0.20783838629722595,
0.2321709841489792,
0.2745824456214905,
0.12368683516979218,
-0.3814411759376526,
-0.6189349889755249,
-0.1332758516073227,
0.2710567116737366,
0.41252544522285... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example Input: tres lumes xuntos son moitas lapas.
Example Output: ３つ集まるとたくさんの炎になります
Example Input: É activo. Non se atopan realmente diferenzas.
Example Output: 活発です本当に違いは分かりません
Example Input: No mundo do audio ocorre cando un micrófono achégase demasiado a súa fonte de son, e entón convértese nun acople autodestructivo e crea un son moi desagradable.
Example Output: | 音響の世界ではマイクが音源に近づきすぎた時に、自己破壊的なループに陥ってかなり不快な音が出る時のこと。
| 3 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.5292171835899353,
0.4635196328163147,
-0.5336161255836487,
-0.2357630431652069,
-0.41302335262298584,
-1.1593008041381836,
0.9920504093170166,
0.40394729375839233,
-0.973310112953186,
-0.4738299250602722,
-0.48812007904052734,
0.4677877128124237,
-0.8508015275001526,
0.08252274990081787... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on 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.
Head: bone<sep>Tail: kinds of soup
| Yes | 5 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.2609142065048218,
0.37116575241088867,
0.3795798420906067,
0.17111557722091675,
-0.6027842164039612,
-0.32744190096855164,
1.081810712814331,
0.5436916351318359,
-0.4877512454986572,
-0.4248507022857666,
-0.4958049952983856,
-0.13324129581451416,
-0.6165206432342529,
0.44792240858078003,... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
Example input: Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1-star review of part of a chair I never got to sit in. I will go so far as to include a picture of what their injection molding and quality assurance process missed though. I will be hesitant to buy again. It makes me wonder if there aren't missing structures and supports that don't impede the assembly process.
Example output: furniture
Example explanation: The customer gives a review of the product which belongs to the furniture category because we can see it from the way the customer describes his experience sharing how he unpackaged his chair.
Q: I bought these exactly 3 weeks ago, and three of them already quit working. Not sure what to do, I guess I'm going to have to buy a complete other set and throw these in the trash because why buy another set of these and then have more of them go out and then have to do the same thing again and buy new ones of a new kind. So if I were you I would spring the few extra dollars and buy a nicer set because these are really terrible!
A: | lawn and garden | 3 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.23800456523895264,
-0.15158438682556152,
-0.7849974632263184,
0.5174738764762878,
0.5696617960929871,
-0.07214531302452087,
0.3638995885848999,
0.8716073632240295,
-0.2725709080696106,
0.41840216517448425,
0.224681556224823,
0.3057209849357605,
-0.30058708786964417,
-0.25658249855041504... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Ex Input:
1, ['5371', '6183', '8049', 'I', '8429', 'd', '4473', '4067', 'p']
Ex Output:
5371
Ex Input:
2, ['2777', '311', 'A', '769', '5283', '5341', 'F', '3049', '2785', 'C', 'l', '8659']
Ex Output:
2777, 311
Ex Input:
10, ['F', 'o', '2341', 'G', '8033', 'K', 'I', '827', 'i', 'K', '7415', 'D', 'm', 'A', 'j', 'q', 'J', 'x', '3969', '8857', '9867', '3493']
Ex Output:
| F, o, 2341, G, 8033, K, I, 827, i, K
| 1 | NIv2 | task063_first_i_elements | fs_opt | [
-0.18256382644176483,
0.3559498190879822,
-0.5699036121368408,
-0.5839858055114746,
-0.3656710386276245,
0.004006071947515011,
0.7255088090896606,
0.17979136109352112,
-0.21892023086547852,
-0.2676524221897125,
-1.3569612503051758,
-0.3118915259838104,
-0.09300388395786285,
-0.316972047090... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Ex Input:
Sentence1: Ava needed a plane ticket across the country. Sentence2: She feared it'd be expensive. Sentence3: Then the agent told her something wonderful. Sentence4: She had earned enough miles to pay for her ticket!
Ex Output:
Ava was able to fly without spending any money on her ticket.
Ex Input:
Sentence1: The student had a bright future ahead of him. Sentence2: He always maintained a rather high grade point average. Sentence3: During his senior year he met a girl and they fell in love. Sentence4: Shortly after, the student's grades began to drop and he felt awful.
Ex Output:
He ended up dumping the girl and got his grades back on track.
Ex Input:
Sentence1: Ella went out sledding one afternoon. Sentence2: She had fun at first. Sentence3: Then she slipped off the sled. Sentence4: She cut her forehead on a rock in the ground.
Ex Output:
| Ella had to be taken to the doctor.
| 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.32652777433395386,
0.7323912382125854,
0.16533872485160828,
-1.0922021865844727,
-0.09776440262794495,
-0.3044928312301636,
0.5369422435760498,
0.6828855276107788,
0.04882907122373581,
-0.14428134262561798,
-0.41687753796577454,
0.24392975866794586,
-0.2109558880329132,
-0.3893302679061... |
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
প্রধানমন্ত্রী মাতৃত্ব বন্দনা যোজনা এবং প্রধানমন্ত্রী সুরক্ষিত মাতৃত্ব অভিযান নিরাপদ গর্ভাবস্থার বিষয়টিতে জনআন্দলনে পরিণত করতে পেরেছি। | പ്രധാനമന്ത്രി വന്ദന് യോജനയും പ്രധാനമന്ത്രി സുരക്ഷാ മാതൃത്വ അഭിയാനും സുരക്ഷിത ഗര്ഭം എന്ന ആശയത്തെ ജനകീയമാക്കിയിട്ടണ്ട്. | 0 | NIv2 | task1003_pib_translation_bengali_malayalam | zs_opt | [
0.21785172820091248,
0.5255881547927856,
-0.26324662566185,
-0.24931499361991882,
-0.7166556715965271,
-0.7182854413986206,
-0.05324067175388336,
0.5028791427612305,
0.2762472331523895,
0.1666950136423111,
-0.5020689964294434,
-0.039690300822257996,
-0.626974880695343,
-0.4281609058380127,... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : I live in a highly walkable area. I have a 16 month old son who thankfully is starting to walk, but I still put him in the stroller for trips around my neighborhood. Anyone with kids and strollers knows how much of a pain in the ass it is getting them through non automatic doors.
So the other day we stopped by the local post office and I was scolded by a postal worker for using the side entrance (handicapped entrance with automatic door and ramp). Seriously, was she expecting me to drag the stroller up the stairs? Leave my kid outside while I did my business inside? Or was she just being unnecessarily bitchy? I thought I was good but now I’m not so sure. Thanks
A: | no | 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.42646679282188416,
0.16971273720264435,
0.06999611109495163,
0.556344747543335,
0.2091262936592102,
-0.3997703790664673,
0.06600887328386307,
0.25584742426872253,
0.7608298063278198,
0.13911554217338562,
0.15575383603572845,
0.38263368606567383,
-0.8015527725219727,
-0.3838525414466858,... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Answer: 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。
Explanation: This is a correct and accurate translation from English to Japanese because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Part 3. Exercise
She was artistic director of the National Ballet of Canada for 24 years.
Answer: | 彼女は24年にわたりカナダ国立バレエ団の芸術監督でした。 | 7 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.07002748548984528,
0.9264588356018066,
-0.18968838453292847,
0.2608901858329773,
0.3460785150527954,
0.009770568460226059,
0.5891650319099426,
0.38933977484703064,
0.24234606325626373,
-0.5272558927536011,
-0.626101016998291,
0.3782646059989929,
-0.49941474199295044,
0.5019105672836304,... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Example input: story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.
selected sentence: Rita will now only go on the trails when she is with friends.
Example output: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends
Example explanation: The story is about Rita being scared in her experience, so the answer is correct.
Q: story: It was a cold night. Ted's dog usually slept outside. Ted didn't want his dog to get too cold. Ted brought the dog in for the night. He put him back outside the next day.
selected sentence: Ted brought the dog in for the night.
A: | Ted want(s) his dog to not be cold >Motivates> Ted brings in his dog for the night | 3 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.24863532185554504,
0.42290759086608887,
-0.505226194858551,
0.5767821073532104,
-0.6436655521392822,
-1.3043831586837769,
0.7169561386108398,
0.5057038068771362,
-0.5985594987869263,
-0.2668688893318176,
-0.7847213745117188,
0.19898051023483276,
-0.20789667963981628,
-0.2685036063194275,... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
من فضلك ارفع يدك إذا سبق وأن كنت مُضيفًا أو ضيفًا في موقع إير بي إن بي "" Airbnb "" لتأجير المنازل
A: | אנא הרימו את ידכם אם הייתם אי-פעם אורחים או מארחים ב-AirBnB. | 7 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.8488608002662659,
0.25130072236061096,
0.048307210206985474,
-0.5194013118743896,
0.1804494857788086,
-0.4037034809589386,
0.9459381699562073,
0.4456172585487366,
0.1066625565290451,
0.6439690589904785,
0.07298184186220169,
0.7273203134536743,
-1.3656623363494873,
-0.36712920665740967,
... |
Instructions: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
Input: ['r', '9', '9']
Output: | [['r', '9'], ['r', '9'], ['9', '9']] | 3 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.33005720376968384,
0.5746797323226929,
-0.2244153916835785,
0.35629183053970337,
0.21348659694194794,
0.035015929490327835,
0.3363485336303711,
0.26726508140563965,
-0.09871730208396912,
-0.07225341349840164,
-0.4923393130302429,
-0.029782623052597046,
-0.5279821753501892,
0.16064538061... |
In this task, you need to provide the correct option for a given problem from the provided options.
Q: Problem: a number is said to be prime saturated if the product of all the different positive prime factors of a is less than the square root of a . what is the greatest two digit prime saturated integer ?
Options: a ) 99 , b ) 98 , c ) 97 , d ) 96 , e ) 95
A: | d | 4 | NIv2 | task1421_mathqa_other | zs_opt | [
-0.41507235169410706,
0.4037919044494629,
-0.003073273692280054,
-0.5362173914909363,
-0.3523632287979126,
0.29238957166671753,
0.20406083762645721,
0.4611471891403198,
0.09227631241083145,
0.7122370004653931,
-0.4894997477531433,
0.0013953298330307007,
-0.40857836604118347,
-0.29576760530... |
Instructions: 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.
Input: Which venue that hosted the event only once is held in a county that is named after the Ciarraige who lived in part of the present county ?
Output: | Ballybunion | 3 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.7410014867782593,
1.4111552238464355,
-0.1979009211063385,
0.39937952160835266,
-0.24852271378040314,
-0.9517741203308105,
-0.14624574780464172,
0.22268351912498474,
-0.624452531337738,
-0.49490106105804443,
0.04492370784282684,
0.29416459798812866,
-1.005566120147705,
0.6025992035865784... |
Teacher:Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the article expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: What is the sentiment of the following document towards the entity Hillary Clinton ? Speaking to the media reports of a possible Special Counsel in the offing over her Uranium One deal to the leftist media outlet Mother Jones the former first lady former Secretary of State and former Democratic nominee for president said :
Hillary Clinton would have you believe prosecuting corruption and holding anyone accountable is something only tinpot dictatorships do.
âIf they send a signal that weâre going to be like some dictatorship like some authoritarian regime where political opponents are going to be unfairly fraudulently investigated that rips at the fabric of the contract we have that we can trust our justice system â Clinton said. âIt will be incredibly demoralizing to people who have served at the Justice Department under both Republicans and Democrats because they know better. But it will also send a terrible signal to our country and the world that somehow we are giving up on the kind of values that we used to live by and we used to promote worldwide.â
Hillary Clinton has been getting away with corruption for so long she doesn't see herself as subject to the law at all. There was her illegal private server her destruction of government emails and tech machinery 'with hammers ' amounting to obstruction of justice there was her collusion with Fusion GPS which took phony "opposition research" from the Russians for use in an investigation and leakfest against Donald Trump and this doesn't even cover the half of it. During her tenure as Secretary of State there were classified documents mishandled (left on the dashboard of cars on overseas trips) the Benghazi failure to protect American personnel overseas the Benghazi talking points coverup a missing $2 billion in financial mismanagement and more. Scroll further back and the corruption continues in the same pattern: Whitewater the cattle futures cleanup the missing billing records and "I don't recall." lt likely goes even further back than that with the NGOs and the Nixon investigation. Any wonder the late William Safire called her 'a congenital liar' and the number one reason voters rejected her according to a Soros group was the public perception of her as untrustworthy?
I've got news for her: Banana republics tinpot dictatorships and authoritarian regimes do not prosecute big-dollar corruption among the politically connected. Going by pay-to-play rules is how they operate. That's how Mugabe in Africa and Chavistas in Venezuela and assorted characters in the Indonesia of the Clinton era operate. It's what makes them banana republics in the first place.
Far from the act of prosecuting corruption being a problem as Hillary Clinton would have you believe operating on pay-to-play principles and expecting to get away with it is what makes a place a tinpot regime.
Student: | Negative | 6 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.48721998929977417,
0.08646703511476517,
-0.14951825141906738,
0.20468583703041077,
0.27879688143730164,
-0.3920219838619232,
0.35236257314682007,
0.8220678567886353,
-0.30086827278137207,
0.30020153522491455,
0.20970368385314941,
0.31536316871643066,
-0.25168466567993164,
-0.15908730030... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Q: ну черт,ты коварный,разоблачил меня ((9((9((
A: sadness
****
Q: Впервые поругались с Катей :(( все так ужасно ...
A: sadness
****
Q: Теперь он его немножко боится ) прям сейчас за окном дождь стеной , Саша :" Мам , сатьи , дось на уице , я боюсь дось " .
A: | joy
****
| 4 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.23091194033622742,
0.31142330169677734,
0.23643651604652405,
-0.4576486349105835,
-0.36456775665283203,
-0.3774554133415222,
0.6429246068000793,
1.2585279941558838,
-0.07061303406953812,
0.2167043387889862,
0.17618750035762787,
0.22558701038360596,
-0.23297418653964996,
0.13856771588325... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
[EX Q]: Igbo sentence: Hugh Farey, nchịkọta akụkọ nke British Society nke Turin Shroud Akwụkwọ Akụkọ, kwuru ọhụrụ ọmụmụ bụ na-akpali akpali ma dara mkpụmkpụ nke-njinaka zuru oke.
[EX A]: Hugh Farey, editor of the British Society of the Turin Shroud newsletter, said the new study was intriguing but fell short of absolute proof .
[EX Q]: Igbo sentence: Also you can use Esere Royale Ndị aghụghọ ikike Ngwá Ọrụ on kọmputa nke na-agba ọsọ Windows ma ọ bụ Mac OS.
[EX A]: Also you can use Clash Royale Cheats Hack Tool on computers which run Windows or Mac OS.
[EX Q]: Igbo sentence: Ghari - Mari (Madang Province)
[EX A]: | gallese - Mari (Madang Province)
| 6 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.6117392778396606,
-0.10239510983228683,
-0.19475778937339783,
-1.0147576332092285,
0.8139100074768066,
-1.2782583236694336,
0.3071210980415344,
0.5987239480018616,
0.1375974416732788,
-0.44168734550476074,
-0.16878798604011536,
0.020810291171073914,
-0.379560649394989,
0.020485583692789... |
Detailed Instructions: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Problem:I ordered this cord to replace my cord that I had for 4 years. It stopped working after 2 months. The attachment between the power box and the plug melted after 2 weeks or so. After I replaced that the connection between the cord and the computer fell out. Total crap!
Solution: | Negative Review | 8 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.10957300662994385,
0.6800305843353271,
-0.3022628724575043,
-0.7190209627151489,
0.11069802194833755,
-0.8054801821708679,
0.3468484878540039,
-0.08378896862268448,
-0.05723629146814346,
0.23031899333000183,
0.35750067234039307,
-0.6132051944732666,
0.06885337829589844,
0.394206643104553... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
1, 2, ['t', '3915', 'K']
| t3915 | 5 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.7434720993041992,
0.6969583034515381,
-0.3874802589416504,
-0.33289873600006104,
-0.3049624264240265,
0.15443190932273865,
0.04772200807929039,
-0.39577198028564453,
-0.12958505749702454,
-0.1623232513666153,
-0.8139551877975464,
0.140138640999794,
0.128482386469841,
-0.1997060775756836... |
Teacher: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor quality. I have used infrared lights for my ball python for many years now and I get a varied range of months from a bulb, but I have never gone through two bulbs in a matter of two months! I am very disappointed.
Solution: negative
Reason: The user seems very disappointed in the product. Because the bulb they ordered has been burned out earlier than usual. So, it's a negative review.
Now, solve this instance: For simple infections like a cut on the arm or even on the toenail, mix peppermint, sage, and cinnamon essential oils. Either apply this directly to the affected area as often as possible or apply it.
Student: | positive | 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.3590261936187744,
0.0208556167781353,
0.3388693928718567,
-0.29570698738098145,
0.20598825812339783,
-0.7951847314834595,
0.6137417554855347,
0.9552955627441406,
0.10400224477052689,
0.6367771625518799,
0.30444177985191345,
0.029017159715294838,
-0.3519074022769928,
-0.5892365574836731,... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
who is the author of Tenacious D in The Pick of Destiny? | Kyle Gass, Liam Lynch, Jack Black | 0 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.6766554117202759,
1.196204423904419,
0.3496972322463989,
0.05044206231832504,
-0.4759215712547302,
0.29202836751937866,
0.9960785508155823,
-1.0137250423431396,
0.5504786372184753,
-0.21032032370567322,
-0.16756746172904968,
-0.12998589873313904,
-1.001180648803711,
-0.07804994285106659... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: Kai was cut from the team because of his low skill.
Question: How would Kai feel afterwards?
Options: (A) didn't try very hard (B) Dissapointed (C) happy
Output: | B | 1 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
-0.24192214012145996,
0.13495975732803345,
-0.2186172902584076,
-0.08323736488819122,
0.2761191725730896,
-0.20878812670707703,
0.9710428714752197,
0.5921157598495483,
0.034757692366838455,
0.4079224467277527,
-0.5700812339782715,
-0.5468472838401794,
0.20197337865829468,
-0.01225461531430... |
Detailed Instructions: In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word.
Q: Context: The children of Ethiopia are very _.
A: | starving | 9 | NIv2 | task277_stereoset_sentence_generation_stereotype | zs_opt | [
0.2723042666912079,
0.45658767223358154,
-0.4656989574432373,
-0.38856256008148193,
0.39567118883132935,
-0.6833022832870483,
0.953298807144165,
1.0989761352539062,
0.11093241721391678,
0.06400536000728607,
-0.10634031146764755,
0.34256982803344727,
-0.9561458826065063,
0.11194649338722229... |
Teacher:In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Teacher: Now, understand the problem? Solve this instance: Title: The Mall. Sentence 1: Alexis was looking for a new outfit at the mall. Sentence 2: She was very picky and could never find anything. Sentence 3: Finally she spotted the most amazing dress! Sentence 4: She tried it on and it fit like a glove.
Student: | People were impressed with the easy to use interface. | 6 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.3361362814903259,
0.4805654287338257,
-0.0005720092449337244,
0.005562547594308853,
-0.2556535005569458,
-0.28784364461898804,
0.08940130472183228,
0.5121155977249146,
0.10751421749591827,
0.38437312841415405,
-0.656083345413208,
-0.028808733448386192,
-0.22307465970516205,
0.4084238409... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
Problem:উপরোক্ত এই বিষয়গুলি সবই সম্ভব হয়েছে উভয় কক্ষে মাননীয় প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর নেতৃত্বে সংসদ বিষয়ক মন্ত্রকের মন্ত্রীদের সুপরিচালনার জন্য।
Solution: | The above result could be achieved due to excellent floor coordination in both the Houses by Ministers in the Ministry of Parliamentary Affairs under the dynamic leadership of Hon'ble Prime Minister. | 8 | NIv2 | task995_pib_translation_bengali_english | zs_opt | [
-0.19435511529445648,
-0.025561146438121796,
0.1698235720396042,
-0.0008741251658648252,
-0.04558433219790459,
-0.5553007125854492,
0.2270013689994812,
-0.059394434094429016,
-0.1784837543964386,
0.07121345400810242,
-0.35546451807022095,
0.0181034654378891,
0.04705701023340225,
0.73340159... |
Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
Q: Basic Power Management Operations
A: | పవర్ నిర్వహణా బ్యాక్ఎండ్ | 4 | NIv2 | task878_kde4_translation | zs_opt | [
-0.6453315615653992,
0.8883134126663208,
0.512102484703064,
0.23743538558483124,
0.3841305673122406,
-1.2729439735412598,
0.7062144875526428,
0.07362163066864014,
0.16854043304920197,
-0.34614595770835876,
-0.5417500138282776,
0.07178319990634918,
-0.7023338675498962,
0.457884281873703,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Review: Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1-star review of part of a chair I never got to sit in. I will go so far as to include a picture of what their injection molding and quality assurance process missed though. I will be hesitant to buy again. It makes me wonder if there aren't missing structures and supports that don't impede the assembly process.
Category: furniture
Solution: True
Why? It's the correct category. Because the customer gives a review of the product which belongs to the furniture category, which we can see it from the way the customer describes his experience sharing how he unpackaged his chair.
New input: Reviews: Although I like the feeling of this pillow as I’ve had the same type of pillow in the past, this one smells awful. It has washing instructions so I washed It and It STILL smells and FELL APART.
Category: home
Solution: | True | 0 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.10028738528490067,
0.15293097496032715,
-0.5021204948425293,
0.29317373037338257,
0.34920382499694824,
0.03662065044045448,
0.8948255777359009,
0.7382134795188904,
-0.46709880232810974,
0.30122286081314087,
0.4935232698917389,
0.13413266837596893,
-0.338972806930542,
0.4367314279079437,... |
Given the task definition, example input & output, solve the new input case.
This task is about translating a given Spanish language sentence to English.
Example: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Output: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
This is a good example because the Spanish sentence has been translated correctly to English.
New input case for you: Y el costo de producción va hacia abajo, de repente que eres capaz de producir y vender más tomates.
Output: | And the cost of production goes down, all of a sudden you're able to produce and to sell more tomatoes. | 1 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.8520515561103821,
0.6826971769332886,
0.14864003658294678,
0.07245542109012604,
0.2553790211677551,
-0.3990553617477417,
-0.13054972887039185,
1.6984692811965942,
0.6886216402053833,
-0.6718460321426392,
-0.29728859663009644,
1.0712151527404785,
0.1769936978816986,
0.08557865023612976,
... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: Consider Input: I wish Governor Walker, could line item veto you, Meyer.
Output: No
Input: Consider Input: Eloquently stated Ranger Granger. Sounds like you never made it past third grade.
No wonder you're a republican.
Output: No
Input: Consider Input: Slaughter of Humans? By Bears? How about the same
for those 'Humans' who kill others every Day,mostly
for no good Reason!
| Output: Yes
| 2 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
-0.2355320304632187,
0.4206831455230713,
-0.1648886352777481,
0.7587042450904846,
-0.44862449169158936,
-0.47804442048072815,
0.43027225136756897,
0.6325609087944031,
0.02612900733947754,
-0.17664797604084015,
0.04057808220386505,
-0.05549764633178711,
-0.24005922675132751,
-0.431488394737... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
--------
Question: Family tends to stick.'
Answer: Present
Question: " I don't know what you're doing, " I confess, feeling afraid and stupid.
Answer: Present
Question: Lupo giggled and said, " The soldiers ?
Answer: | Past
| 7 | NIv2 | task429_senteval_tense | fs_opt | [
-0.7471590042114258,
0.519221842288971,
0.27441877126693726,
0.14378216862678528,
-0.011174216866493225,
-0.2955765128135681,
1.300189733505249,
1.0051913261413574,
0.12371210753917694,
-0.3532949984073639,
-0.8178869485855103,
-0.0887100026011467,
-0.9877283573150635,
-0.2903176248073578,... |
Teacher:Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Teacher: Now, understand the problem? Solve this instance: inexpedient
Student: | expedient | 6 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.03370228037238121,
1.5139739513397217,
0.9090104103088379,
-0.6188654899597168,
-0.3599116802215576,
-1.2163811922073364,
-0.14341288805007935,
0.3874257206916809,
0.45122212171554565,
-0.6549474000930786,
-0.7625329494476318,
-0.3487474322319031,
-1.5567874908447266,
-0.5003926157951355... |
You are given a statement written in Marathi. 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 .
Ex Input:
Statement: आयमारा ही दक्षिण अमेरिकेच्या आन्देस भागात वापरली जाणारी एक भाषा आहे. क्वेचुआ व स्पॅनिशसोबत आयमारा ही <MASK> व बोलिव्हिया ह्या देशांची राष्ट्रभाषा आहे. तसेच चिली व आर्जेन्टिना देशांच्या काही भागांत देखील ही भाषा वापरली जाते.
Option A: आर्जेन्टिना
Option B: चिली
Option C: बोलिव्हिया
Option D: पेरू
Ex Output:
पेरू
Ex Input:
Statement: वडिलांकडून प्राथमिक पाठ गिरवल्यावर, पंढरीनाथांनी मधुसूदन जोशी आणि खां साहेब अता हुसेन या आग्रा घराण्याच्या ज्येष्ठ गायकांकडून तालीम घेतली. <MASK> ऑल इंडिया म्युझिक कॉन्फरन्समध्ये वयाच्या अकराव्या वर्षीच त्यांनी जाणकारांचे लक्ष वेधून घेतले. त्यानंतर वयाच्या पंधराव्या वर्षी ते पहिल्यांदा रेडिओवर गायले. बी.आर. देवधर मास्तरांकडे शिक्षण सुरू झाल्यावर पंढरीनाथांना कुमार गंधर्व भेटले. आधी गुरुबंधू असणारे कुमार नंतर गुरूही झाले. कुमाराच्या स्मरणार्थ पंढरीनाथ कोल्हापुरे यांनी फलटण गावात फलटणमध्ये संगीत महोत्सव सुरू केला.
Option A: बडोद्यातल्या
Option B: मुंबई
Option C: फलटण
Option D: शांक्सी
Ex Output:
बडोद्यातल्या
Ex Input:
Statement: फाउ.एफ.एल. वोल्फ्सबुर्ग (Verein für Leibesübungen Wolfsburg e. V.) हा <MASK> देशातील वोल्फ्सबुर्ग शहरात स्थित असलेला एक व्यावसायिक फुटबॉल क्लब आहे. ह्या क्लबची मालकी फोल्क्सवागन ह्या मोटार कंपनीकडे असून त्याची स्थापना फोल्क्सवागनमध्ये काम करणाऱ्या कर्मचाऱ्यांसाठी करण्यात आली होती.
Option A: युएफा
Option B: वोल्फ्सबुर्ग
Option C: जर्मनी
Option D: बुंडेसलीगा
Ex Output:
| जर्मनी
| 1 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.4970738887786865,
0.45486605167388916,
-0.4781808853149414,
0.21874380111694336,
-0.4784731864929199,
-0.4912700057029724,
0.6244882941246033,
0.8558759689331055,
0.007126763463020325,
-0.13351625204086304,
-0.7091959118843079,
0.011234768666327,
-0.3904443085193634,
-0.4857730567455292,... |
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: ભારતે છેલ્લા 4 વર્ષથી પણ ઓછા સમયમાં જે સફળતા હાંસલ કરી છે તેના કારણે 1.
Output: | சியோல் அமைதிப் பரிசு கலாச்சார அறக்கட்டளையின் பிற உறுப்பினர்களே | 3 | NIv2 | task1063_pib_translation_gujarati_tamil | zs_opt | [
0.07044581323862076,
1.841604471206665,
0.20866098999977112,
-0.06533907353878021,
-0.1401418149471283,
-0.336641788482666,
-0.283133864402771,
0.14060895144939423,
-0.3929683268070221,
0.4115656614303589,
-0.8661933541297913,
0.1946248710155487,
-0.3063163161277771,
-0.02971700206398964,
... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Sodium element is responsible for one-half of the osmotic pressure gradient that exists between the interior of cells and their surrounding environment. | What element is responsible for one-half of the osmotic pressure gradient that exists between the interior of cells and their surrounding environment? | 0 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.27934908866882324,
0.6147009134292603,
-0.8161755800247192,
-1.411194920539856,
0.2680140733718872,
-1.4666721820831299,
-0.24191850423812866,
0.5440928936004639,
-0.08803636580705643,
0.21757525205612183,
0.0002445814898237586,
0.5831628441810608,
-0.9630497694015503,
-0.881551742553710... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Q: Dis: "" Claro, hoxe non podo escribir porque vou dar unha charla en TED e teño cinco entrevistas e logo vou a unha festa e voume emborrachar.
A: | You say, "" Well, of course I can't write today, because I'm giving a TEDTalk and I have five media interviews, and then I'm going to a cocktail party and then I'll be drunk after that. | 9 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
0.1158822700381279,
1.3144900798797607,
0.7438392639160156,
-0.8903611302375793,
-0.0925455242395401,
-0.7406471967697144,
-0.7539294958114624,
0.9965436458587646,
-0.07986648380756378,
-0.08714146912097931,
0.43714895844459534,
0.19017595052719116,
-0.7752548456192017,
-0.0738978162407875... |
Instructions: In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Input: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Iran Freedom Support Act''.
SEC. 2. TABLE OF CONTENTS.
Sec. 1. Short title.
Sec. 2. Table of contents.
TITLE I--CODIFICATION OF SANCTIONS AGAINST IRAN
Sec. 101. Codification of sanctions.
TITLE II--AMENDMENTS TO THE IRAN AND LIBYA SANCTIONS ACT OF 1996
Sec. 201. Multilateral regime.
Sec. 202. Imposition of sanctions.
Sec. 203. Termination of sanctions.
Sec. 204. Sunset.
Sec. 205. Clarification and expansion of definitions.
TITLE III--DEMOCRACY IN IRAN
Sec. 301. Declaration of Congress regarding United States policy toward
Iran.
Sec. 302. Assistance to support democracy in Iran.
Sec. 303. Sense of Congress regarding designation of democratic
opposition organizations.
TITLE I--CODIFICATION OF SANCTIONS AGAINST IRAN
SEC. 101. CODIFICATION OF SANCTIONS.
(a) Codification of Sanctions Related to Weapons of Mass
Destruction.--United States sanctions, controls, and regulations
relating to weapons of mass destruction with respect to Iran, as in
effect on the date of enactment of this Act, shall remain in effect,
until the President certifies to the Committee on International
Relations of the House of Representatives and the Committee on Foreign
Relations of the Senate that the Government of Iran has permanently and
verifiably dismantled its weapons of mass destruction programs and has
committed to combating the proliferation of such weapons.
(b) No Effect on Other Sanctions Relating to Support for Acts of
International Terrorism.--Notwithstanding a certification by the
President under subsection (a), United States sanctions, controls, and
regulations relating to a determination under section 6(j)(1)(A) of the
Export Administration Act of 1979 (50 U.S.C. App. 2405(j)(1)(A)),
section 620A(a) of the Foreign Assistance Act of 1961 (22 U.S.C.
2371(a)), or section 40(d) of the Arms Export Control Act (22 U.S.C.
2780(d)) relating to support for acts of international terrorism by the
Government of Iran, as in effect on the date of the enactment of this
Act, shall remain in effect.
TITLE II--AMENDMENTS TO THE IRAN AND LIBYA SANCTIONS ACT OF 1996
SEC. 201. MULTILATERAL REGIME.
(a) Reports to Congress.--Section 4(b) of the Iran and Libya
Sanctions Act of 1996 (50 U.S.C. 1701 note) is amended to read as
follows:
``(b) Reports to Congress.--Not later than six months after the
date of the enactment of the Iran Freedom Support Act and every six
months thereafter, the President shall submit to the appropriate
congressional committees a report regarding specific diplomatic efforts
undertaken pursuant to subsection (a), the results of those efforts,
and a description of proposed diplomatic efforts pursuant to such
subsection. Each report shall include--
``(1) a list of the countries that have agreed to undertake
measures to further the objectives of section 3 with respect to
Iran;
``(2) a description of those measures, including--
``(A) government actions with respect to public or
private entities (or their subsidiaries) located in
their territories, that are engaged in Iran;
``(B) any decisions by the governments of these
countries to rescind or continue the provision of
credits, guarantees, or other governmental assistance
to these entities; and
``(C) actions taken in international fora to
further the objectives of section 3;
``(3) a list of the countries that have not agreed to
undertake measures to further the objectives of section 3 with
respect to Iran, and the reasons therefor; and
``(4) a description of any memorandums of understanding,
political understandings, or international agreements to which
the United States has acceded which affect implementation of
this section or section 5(a).''.
(b) Waiver.--Section 4(c) of such Act (50 U.S.C. 1701 note) is
amended to read as follows:
``(c) Waiver.--
``(1) In general.--The President may, on a case by case
basis, waive for a period of not more than six months the
application of section 5(a) with respect to a national of a
country, if the President certifies to the appropriate
congressional committees at least 30 days before such waiver is
to take effect that--
``(A) such waiver is vital to the national security
of the United States; and
``(B) the country of the national has undertaken
substantial measures to prevent the acquisition and
development of weapons of mass destruction by the
Government of Iran.
``(2) Subsequent renewal of waiver.--If the President
determines that such is appropriate, the President may, at the
conclusion of the period of a waiver under paragraph (1), renew
such waiver for a subsequent period of not more than six
months.''.
(c) Investigations.--Section 4 of such Act (50 U.S.C. 1701 note) is
amended by adding at the end the following new subsection:
``(f) Investigations.--
``(1) In general.--Upon public or private disclosure of
activity related to investment in Iran by a person as described
in this Act, the President shall direct the Secretary of the
Treasury to initiate an investigation into the possible
imposition of sanctions against such person as a result of such
activity, to notify such person of such investigation, and to
provide a recommendation to the President for such purposes.
``(2) Determination and notification.--Not later than 90
days after the date of the disclosure of the activity described
in paragraph (1), the President shall determine whether or not
to impose sanctions against such person as a result of such
activity and shall notify the appropriate congressional
committees of the basis for such determination.
``(3) Publication.--Not later than 10 days after the
President notifies the appropriate congressional committees
under paragraph (2), the President shall ensure publication in
the Federal Register of--
``(A) the identification of the persons against
which the President has made a determination that the
imposition of sanctions is appropriate, together with
an explanation for such determination; and
``(B) the identification of the persons against
which the President has made a determination that the
imposition of sanctions is not appropriate, together
with an explanation for such determination.''.
SEC. 202. IMPOSITION OF SANCTIONS.
(a) Sanctions With Respect to Development of Petroleum Resources.--
Section 5(a) of the Iran and Libya Sanctions Act of 1996 (50 U.S.C.
1701 note) is amended--
(1) in the heading, by striking ``to Iran'' and inserting
``to the Development of Petroleum Resources of Iran'';
(2) by striking ``(6)'' and inserting ``(5)''; and
(3) by striking ``with actual knowledge,''.
(b) Sanctions With Respect to Development of Weapons of Mass
Destruction or Other Military Capabilities.--Section 5(b) of such Act
(50 U.S.C. 1701 note) is amended to read as follows:
``(b) Mandatory Sanctions With Respect to Development of Weapons of
Mass Destruction or Other Military Capabilities.--Notwithstanding any
other provision of law, the President shall impose two or more of the
sanctions described in paragraphs (1) through (5) of section 6 if the
President determines that a person has, on or after the date of the
enactment of this Act, exported, transferred, or otherwise provided to
Iran any goods, services, technology, or other items the provision of
which has contributed to the ability of Iran to--
``(1) acquire or develop chemical, biological, or nuclear
weapons or related technologies; or
``(2) acquire or develop destabilizing numbers and types of
advanced conventional weapons.''.
(c) Persons Against Which the Sanctions Are to Be Imposed.--Section
5(c)(2) of such Act (50 U.S.C. 1701 note) is amended--
(1) in subparagraph (B), by striking ``or'' at the end;
(2) in subparagraph (C), by striking the period at the end
and inserting ``; or''; and
(3) by adding at the end the following new subparagraph:
``(D) is a private or government lender, insurer,
underwriter, re-insurer, or guarantor of the person
referred to in paragraph (1) if that private or
government lender, insurer, underwriter, re-insurer, or
guarantor, with actual knowledge, engaged in the
activities referred to in paragraph (1).''.
(d) Effective Date.--Sanctions imposed pursuant to the amendments
made by this section shall apply with respect to investments made in
Iran on or after the date of the enactment of this Act.
SEC. 203. TERMINATION OF SANCTIONS.
(a) Removal of Libya.--Section 8 of the Iran and Libya Sanctions
Act 1996 (50 U.S.C. 1701 note) is amended--
(1) in subsection (a), by striking the subsection
designation and heading; and
(2) by striking subsection (b).
(b) No Threat Posed.--Such section, as amended by subsection (a),
is further amended--
(1) in paragraph (1)(C), by striking ``and'' at the end;
(2) in paragraph (2), by striking the period at the end and
inserting ``; and''; and
(3) by adding at the end the following new paragraph:
``(3) poses no threat to United States national security,
interests, or allies.''.
SEC. 204. SUNSET.
Section 13 of the Iran and Libya Sanctions Act of 1996 (50 U.S.C.
1701 note) is amended--
(1) in the section heading, by striking ``; sunset'';
(2) in subsection (a), by striking the subsection
designation and heading; and
(3) by striking subsection (b).
SEC. 205. CLARIFICATION AND EXPANSION OF DEFINITIONS.
(a) Person.--Section 14(14)(B) of the Iran and Libya Sanctions Act
of 1996 (50 U.S.C. 1701 note) is amended--
(1) by inserting after ``trust'' the following: ``,
financial institution, insurer, underwriter, re-insurer,
guarantor''; and
(2) by striking ``operating as a business enterprise''.
(b) Petroleum Resources.--Section 14(15) of the Iran and Libya
Sanctions Act of 1996 (50 U.S.C. 1701 note) is amended by inserting
after ``petroleum'' the following: ``, petroleum by-products,''.
TITLE III--DEMOCRACY IN IRAN
SEC. 301. DECLARATION OF CONGRESS REGARDING UNITED STATES POLICY TOWARD
IRAN.
Congress declares that it should be the policy of the United States
to support independent human rights and pro-democracy forces in Iran.
SEC. 302. ASSISTANCE TO SUPPORT DEMOCRACY IN IRAN.
(a) Authorization.--The President is authorized to provide
financial and political assistance (including the award of grants) to
foreign and domestic individuals, organizations, and entities that
support democracy and the promotion of democracy in Iran and that are
opposed to the non-democratic Government of Iran. Such assistance may
include the award of grants to eligible independent pro-democracy radio
and television broadcasting organizations that broadcast into Iran.
(b) Eligibility for Assistance.--Financial and political assistance
under this section may be provided to an individual, organization, or
entity that--
(1) officially opposes the use of terrorism;
(2) advocates the adherence by Iran to nonproliferation
regimes for nuclear, chemical, and biological weapons and
materiel;
(3) is dedicated to democratic values and supports the
adoption of a democratic form of government in Iran;
(4) is dedicated to respect for human rights, including the
fundamental equality of women;
(5) works to establish equality of opportunity for people;
and
(6) supports freedom of the press, freedom of speech,
freedom of association, and freedom of religion.
(c) Funding.--The President may provide assistance under this
section using--
(1) funds available to the Middle East Partnership
Initiative (MEPI), the Broader Middle East and North Africa
Initiative, and the National Endowment for Democracy (NED); and
(2) amounts made available pursuant to the authorization of
appropriations under subsection (g).
(d) Notification.--Not later than 15 days before each obligation of
assistance under this section, and in accordance with the procedures
under section 634A of the Foreign Assistance Act of 1961 (22 U.S.C.
2394-l), the President shall notify the Committee on International
Relations and the Committee on Appropriations of the House of
Representatives and the Committee on Foreign Relations and the
Committee on Appropriations of the Senate.
(e) Sense of Congress Regarding Coordination of Policy and
Appointment.--It is the sense of Congress that in order to ensure
maximum coordination among Federal agencies, if the President provides
the assistance under this section, the President should appoint an
individual who shall--
(1) serve as special assistant to the President on matters
relating to Iran; and
(2) coordinate among the appropriate directors of the
National Security Council on issues regarding such matters.
(f) Sense of Congress Regarding Diplomatic Assistance.--It is the
sense of Congress that--
(1) contacts should be expanded with opposition groups in
Iran that meet the criteria under subsection (b);
(2) support for a transition to democracy in Iran should be
expressed by United States representatives and officials in all
appropriate international fora;
(3) representatives of the Government of Iran should be
denied access to all United States Government buildings;
(4) efforts to bring a halt to the nuclear weapons program
of Iran, including steps to end the supply of nuclear
components or fuel to Iran, should be intensified, with
particular attention focused on the cooperation regarding such
program--
(A) between the Government of Iran and the
Government of the Russian Federation; and
(B) between the Government of Iran and individuals
from China, Malaysia, and Pakistan, including the
network of Dr. Abdul Qadeer (A. Q.) Khan; and
(5) officials and representatives of the United States
should--
(A) strongly and unequivocally support indigenous
efforts in Iran calling for free, transparent, and
democratic elections; and
(B) draw international attention to violations by
the Government of Iran of human rights, freedom of
religion, freedom of assembly, and freedom of the
press.
(g) Authorization of Appropriations.--There is authorized to be
appropriated to the Department of State such sums as may be necessary
to carry out this section.
SEC. 303. SENSE OF CONGRESS REGARDING DESIGNATION OF DEMOCRATIC
OPPOSITION ORGANIZATIONS.
(a) Initial Designation.--It is the sense of Congress that, not
later than 90 days after the date of the enactment of this Act, the
President should designate at least one democratic opposition
organization as eligible to receive assistance under section 302.
(b) Notification Requirement.--Not later than 15 days before
designating a democratic opposition organization as eligible to receive
assistance under section 302, the President shall notify the Committee
on International Relations and the Committee on Appropriations of the
House of Representatives and the Committee on Foreign Relations and the
Committee on Appropriations of the Senate of the proposed designation.
If the President determines that such is appropriate, such notification
may be in classified form.
Output: | Iran Freedom Support Act - States that: (1) U.S. sanctions, controls, and regulations relating to weapons of mass destruction with respect to Iran shall remain in effect until the President certifies to the appropriate congressional committees that Iran has permanently and verifiably dismantled its weapons of mass destruction programs and has committed to combating such weapons' proliferation; and (2) such certification shall have no effect on other sanctions relating to Iranian support of international terrorism.
Amends the Iran and Libya Sanctions Act of 1996 to: (1) eliminate mandatory sanction provisions respecting Libya; (2) impose mandatory sanctions on a person or entity that aids Iran acquire or develop weapons of mass destruction or destabilizing types and numbers of conventional weapons; (3) revise multilateral regime reporting requirements, including provisions respecting sanctions on individuals aiding Iranian petroleum development; (4) enlarge the scope of sanctionable entities; and (5) eliminate the sunset provision Authorizes the President to provide financial and political assistance to eligible foreign and domestic individuals and groups that support democracy in Iran and that are opposed to the Government of Iran.
Expresses the sense of Congress that: (1) the President should appoint a special assistant on Iranian matters; (2) contacts should be expanded with democratic Iranian opposition groups; and (3) the President should designate at least one such eligible group within 90 days of enactment of this Act. | 3 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.6779912710189819,
0.6746708154678345,
-0.2842736840248108,
-0.4507790207862854,
0.9094089269638062,
-0.3215291500091553,
1.1314432621002197,
1.1577887535095215,
-0.08781060576438904,
0.46052443981170654,
-0.5025531053543091,
0.43554598093032837,
-0.4620978832244873,
0.20700228214263916,
... |
Detailed Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
See one example below:
Problem: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears checked for devices prior to the debate. The Biden campaign rejected the claims. The Trump campaign adverts ask: "Why won't Sleepy Joe commit to an ear test?" and "Who is in Joe's ear?" Accusations that presidential candidates have received debate help via hidden hearing devices are familiar, albeit unproven. Such allegations have been levelled against both Republican and Democratic candidates in the past. Prior to Tuesday's debate, the rumour about Mr Biden's supposed earpiece was circulating on several social networks, and was being promoted by the Trump campaign. At least 15 versions The advertising campaign was launched after the debate, and also promotes two other baseless but widely shared rumours about Mr Biden. One suggested he asked for breaks during the debate, and another accused him of refusing a "drug test". The photo featured in the advert is not from Tuesday's debate. It was first shared online in September 2019. In a number of the adverts, it has been doctored to show Mr Biden wearing wireless Apple headphones. This was not the case in the original image. Some versions circle the ear featuring the headphone. By Wednesday evening, there were at least 15 different versions of the advert, and according to Facebook's Ad Library, they had reached at least 10 million users. Facebook has pledged to label posts containing voting misinformation and point users towards accurate information ahead of the election. However its policy does not involve fact-checking political speech, including in advertisements. The company declined to comment about the latest Trump ad campaign. Rumour origins Hours before the debate, the claims went viral on Facebook and YouTube. Identical memes were pushed by a number of popular Facebook pages with names such as US Conservative and Unhinged Left. They claimed "Joe Biden should be inspected for a hidden earpiece as well as submit to a drug test before the debate". These memes are subject to fact-checks - and some have had warning labels applied to them on Facebook. The claims were picked up by Fox News and other conservative news outlets. They were further amplified by supporters of QAnon, an unfounded a conspiracy theory that claims President Trump is fighting a secret war against elite Satan-worshipping paedophiles. Those who believe in QAnon are known for promoting political disinformation on social media which targets opponents of the president. They shared close-up pictures of Mr Biden's ears, alleging a listening device was visible. During the debate, some also shared photos of a fold in Mr Biden's shirt, claiming it was caused by a wire, and of a supposed device on his wrist, where he wears a rosary in memory of his late son Beau. Nothing new Conspiracy theories about secret listening devices have been recycled in presidential election campaigns for the past two decades. Democratic candidate Hillary Clinton faced similar unfounded claims ahead of the 2016 presidential election. In 2004, rumours circulated among left-wing sites and blogs that President George W Bush was being aided by a secret earpiece. None of those allegations were found to be true. Even if a candidate did wear an earpiece, any advantage would be questionable. As TV and radio presenters can attest, listening to someone while simultaneously talking during the back-and-forth of a live event is a difficult skill to master.
Solution: US President Donald Trump's re-election campaign is running hundreds of Facebook advertisements pushing an unfounded conspiracy theory that Joe Biden cheated during the first US presidential debate.
Explanation: This is a relevant summary for the given paragraph. It also contains explicit phrases from the given text
Problem: The Amwell care home in Leicestershire has been criticised for failing to manage the risk posed by this person. It was inspected during a Covid outbreak because of concerns about infections not being prevented. In response to the report, the home said it had developed a "management action plan" to help it improve. The home in Melton Mowbray was inspected by the Care Quality Commission (CQC) in November and rated as being "inadequate". In relation to the assaults, the report said: "Staff did not consistently recognise deteriorations to people's presentation which meant opportunities to manage and redirect people were missed, and avoidable incidents occurred. "For example, one person was involved in 24 incidents where other people and staff were exposed to and experienced physical and sexual assaults. Failure to manage this risked [sic] placed people at risk of harm." Among its criticisms, the inspection report said staff were not washing their hands and were failing to change their PPE when they moved from one room to the next. 'So disappointed' "Despite a significant Covid-19 outbreak at the service, staff failed to use PPE in line with national government guidance," the report said. "Staff were observed handling breakfast without wearing gloves and moving between people's bedrooms without changing PPE or washing/sanitising their hands." The Amwell said: "Our aim is always to provide the best possible care to those we support and it is a responsibility we take extremely seriously, which is why we were so disappointed with the CQC's findings following its recent inspection. "We immediately developed a thorough management action plan to address all suggested areas for improvement and we have been working closely with Leicester City Council, the CQC and our staff to implement this." Follow BBC East Midlands on Facebook, Twitter, or Instagram. Send your story ideas to eastmidsnews@bbc.co.uk. Related Internet Links CQC - The Amwell
Solution: | A resident at a "luxury riverside care home" physically and sexually assaulted other residents and staff 24 times, according to an inspection report. | 4 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.3541136384010315,
0.5273492932319641,
-0.4552289843559265,
-0.1344875991344452,
0.18835869431495667,
-0.07726103067398071,
0.5918223857879639,
1.11912202835083,
-0.29318392276763916,
0.2388649880886078,
0.07788075506687164,
0.6993101239204407,
-0.3283604681491852,
-0.00757613917812705,
... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
[EX Q]: Sentence 1: Glue-sniffing and other forms of solvent abuse are being overlooked in the fight against drugs, according to a new report. Sentence 2: Glue-sniffing is common among youngsters.
[EX A]: 0
[EX Q]: Sentence 1: Albert Sabin developed an oral, attenuated (live) vaccine, which, with Salk's discovery, brought polio under control. Sentence 2: Polio is under control in the world.
[EX A]: 1
[EX Q]: Sentence 1: Miller, the Pulitzer Prize-winning playwright whose most famous fictional creation, Loman in 'Death of a Salesman' came to symbolize the American Dream gone awry, has died. Sentence 2: Playwright Miller, the Pulitzer Prize-winning author of 'Death of a Salesman', has died.
[EX A]: | 1
| 6 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-1.3001338243484497,
0.9513776302337646,
-0.24033576250076294,
-0.7755457162857056,
-0.09716764837503433,
0.0291814636439085,
-0.2286362648010254,
0.8124244213104248,
0.6657975912094116,
-0.019702624529600143,
-0.39876264333724976,
0.5355628728866577,
-0.30261945724487305,
0.05276173353195... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[Q]: DpzRxgwECtX, ksxgwEzQh
[A]: c, d, e, g, p, r, t, w, x, z
[Q]: VEEkTiSQM, VcEkTXvT
[A]: e, i, k, m, q, s, t, v
[Q]: CiplacikFdZaRvbyDqqlsszBsY, TchadmvAIacikFdZaRvbyDqqUNrbThb
[A]: | a, b, c, d, f, h, i, k, m, n, q, r, t, u, v, y, z
| 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
0.061381347477436066,
1.1220545768737793,
0.001128512667492032,
-0.7704584002494812,
-0.04059845209121704,
0.046465449035167694,
1.210050106048584,
-0.3516404926776886,
-0.2771274149417877,
0.06293028593063354,
-0.4144713282585144,
-0.572809100151062,
-0.022716835141181946,
-0.240218505263... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example input: Person1: Are you ready to order , sir ?
Person2: Yes , I'll have tomato soup and my friend will have mushroom soup .
Person1: Do you want anything to go with soup ?
Person2: Yes , bring us two steaks and two loads of bread , please .
Example output: 0
Example explanation: This conversation is neutral as it is a customer ordering a dish. Therefore this is not classified as a strictly positive emotion in the conversation.
Q: Person1: Did you find what you were looking for ?
Person2: I tried when you had gone , but I had no luck .
Person1: Okay , let's both look for it now .
Person2: Okay .
A: | 0 | 3 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.44712311029434204,
-0.3507276475429535,
0.33157169818878174,
-0.19114384055137634,
0.2998448610305786,
0.12407561391592026,
0.30889180302619934,
0.1806626319885254,
-0.04764974117279053,
-0.015750031918287277,
0.14677225053310394,
-0.7353777885437012,
-0.2808225154876709,
0.059905342757... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after 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.
Example Input: Head: PersonX is going on a trip<sep>Tail: PersonX packs a bag
Example Output: Yes
Example Input: Head: PersonX takes medicine in the future<sep>Tail: PersonX buys medicine
Example Output: Yes
Example Input: Head: PersonX builds PersonY's house<sep>Tail: PersonX opens a construction company
Example Output: | Yes
| 3 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.10787910968065262,
0.2638937532901764,
0.2533242702484131,
-0.07784219086170197,
-0.6118160486221313,
-0.6017207503318787,
0.9652706384658813,
0.6582134962081909,
-0.5650254487991333,
-0.5170995593070984,
-0.6274272799491882,
-0.15204593539237976,
-0.549333930015564,
0.16252976655960083,... |
Part 1. Definition
In this task you are given a disfluent question, a proper question and a context. A disfluent question is a question that has some interruptions in it while framing and a proper question is the correct form of the question without any disfluency. Classify whether the question is answerable or not based on the given context.
Part 2. Example
proper question: Who recorded Walking in Fresno?
disfluent question: Where no sorry who recorded Walking in Fresno?
context: In the 1970s, the city was the subject of a song, Walking Into Fresno, written by Hall Of Fame guitarist Bill Aken and recorded by Bob Gallion of the world-famous WWVA Jamboree radio and television show in Wheeling, West Virginia. Aken, adopted by Mexican movie actress Lupe Mayorga, grew up in the neighboring town of Madera and his song chronicled the hardships faced by the migrant farm workers he saw as a child. Aken also made his first TV appearance playing guitar on the old country-western show at The Fresno Barn.
Answer: Yes
Explanation: The input sentence is correctly recognized as answerable or not because the answer to the question is 'Bill Aken' and it is present in the context so it is a positive example.
Part 3. Exercise
proper question: What have many HT members failed to to join?
disfluent question: Where did HT or what have many HT members failed to to join?
context: HT does not engage in armed jihad or work for a democratic system, but works to take power through ideological struggle to change Muslim public opinion, and in particular through elites who will facilitate a change of the government, i.e., launch a bloodless coup. It allegedly attempted and failed such coups in 1968 and 1969 in Jordan, and in 1974 in Egypt, and is now banned in both countries. But many HT members have gone on to join terrorist groups and many jihadi terrorists have cited HT as their key influence.
Answer: | No | 7 | NIv2 | task1624_disfl_qa_question_yesno_classification | fs_opt | [
1.2167903184890747,
-0.07301540672779083,
-0.49942076206207275,
1.0406455993652344,
0.7217766046524048,
-0.4537423253059387,
1.1816813945770264,
0.8748295903205872,
-0.4960733652114868,
0.040029093623161316,
-0.8386141657829285,
0.4556327164173126,
-0.5696982741355896,
-0.10600879788398743... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: コロラド大学の広報担当者は、抜粋は脅迫内容と「一致している」と述べたが、実際の抜粋かどうか確認することは拒否した。
A: | Seorang juru bicara Universitas Colorado mengatakan bahwa kutipan-kutipan tersebut "konsisten" dengan ancaman-ancaman namun menolak untuk mengkonfirmasi jika itu adalah kutipan-kutipan yang sesungguhnya. | 9 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.23924797773361206,
0.4799167811870575,
-0.0785847008228302,
-1.1615946292877197,
-0.32927533984184265,
-1.258760929107666,
-0.02818065881729126,
-0.4078170955181122,
-0.5719462037086487,
-0.019434720277786255,
-0.18951764702796936,
-0.04577382653951645,
-1.1957120895385742,
0.2766037583... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Input: Sentence 1: a woman in a white uniform is sorting nuts behind a glass counter. Sentence 2: The woman in black bagged the nuts.
Output: | The woman in white sorts nuts for the customer. | 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.6818315386772156,
0.5287244319915771,
-0.010236730799078941,
-0.48420608043670654,
0.25772395730018616,
0.06396261602640152,
-0.6162136793136597,
0.7229511737823486,
0.7082774639129639,
0.18411041796207428,
-0.6232954263687134,
-0.6858775019645691,
-0.08511519432067871,
-0.1704552918672... |
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.
Example: I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.
Example solution: Želim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogučuje korisnicima invalidskih kolica da stoje i ponovno hodaju.
Example explanation: The translation correctly preserves the characters in Croatian.
Problem: Then they irradiate our food, trying to make it last longer, so it can travel thousands of miles from where it's grown to the supermarkets.
| Solution: Zatim ozračuju našu hranu, kako bi dulje izdržala, kako bi mogla putovati tisućama milja od mjesta gdje je uzgojena do supermarketa, Stoga se pitam, kako se mogu promijeniti? | 5 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.41684776544570923,
0.5020802021026611,
-0.22429949045181274,
0.7029704451560974,
-0.05865178257226944,
-0.9440255165100098,
0.71317458152771,
0.1261734962463379,
-0.4707077145576477,
-0.2274017632007599,
-0.18278168141841888,
0.39515766501426697,
-0.4516142010688782,
0.1928565353155136,... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Ho sempre pensato, “Cambi il tuo modo di pensare, e di conseguenza cambi il tuo comportamento ” ma spesso è vero il contrario.
Output: | من همیشه فکر می کردم که شما اول فکرتان را باید عوض کنید تا رفتارتان هم عوض بشود ولی فهمیدم که خیلی وقتها این برعکس است. | 3 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.23695945739746094,
0.557226836681366,
-0.2790259122848511,
0.1596125066280365,
-0.3806053102016449,
-0.9001326560974121,
0.5134261250495911,
0.7865179181098938,
0.2756742835044861,
0.21385252475738525,
-0.5486173033714294,
-0.1862756907939911,
-1.0780858993530273,
0.2162826955318451,
... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
John Vandaele
| John: B-PER, Vandaele: I-PER | 5 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.6045860648155212,
0.6314364671707153,
0.04146556183695793,
0.034815821796655655,
-0.4972341060638428,
-0.1436305195093155,
1.5045605897903442,
0.04260697960853577,
0.09885157644748688,
-0.6730456948280334,
-0.5017125606536865,
0.4860308766365051,
-0.18325912952423096,
-0.063372269272804... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Example input: Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual.
Example output: ac
Example explanation: Marcus is buying clothes for a business event and not presenting an idea.
Q: Title: Chad had gone to an amusement park. Chad was wearing a baseball cap. The baseball cap fell off of Chad's head. Choices: a. Chad found the cap after he got off of the ride. b. He said it was the best room in the house. c. He was riding on the roller coaster.
A: | ac | 3 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.08915361762046814,
0.13139154016971588,
-0.5638052225112915,
0.43779611587524414,
0.045650843530893326,
0.0229959599673748,
0.4856204092502594,
0.950471043586731,
-0.18304511904716492,
0.6976597905158997,
-0.6743718385696411,
-0.0031580720096826553,
-0.13927432894706726,
-0.179117858409... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| 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 |
Ex Input:
Context Word: drinking.
Question: She prefers drinking black tea over coffee in the mornings, because the _ usually has less caffeine.
Answer: black tea.
Ex Output:
She prefers drinking black tea over coffee in the mornings, because the _ usually has more caffeine.
Ex Input:
Context Word: dress.
Question: The dress Julie bought for her wedding was white but the veil her grandmother gave her was beige. The _ was old.
Answer: veil.
Ex Output:
The dress Julie bought for her wedding was white but the veil her grandmother gave her was beige. The _ was new.
Ex Input:
Context Word: alarm.
Question: The alarm had went off during Tucker’s sleep but he did not wake up because the _ was quiet.
Answer: alarm.
Ex Output:
| The alarm had went off during Tucker’s sleep but he did not wake up because the _ was deep.
| 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.649350106716156,
0.1891084611415863,
0.08956024050712585,
-0.006780124269425869,
0.5337162613868713,
-0.44823551177978516,
0.7812674641609192,
1.1951878070831299,
-0.5738431215286255,
-0.19677849113941193,
-0.4158150851726532,
0.07673489302396774,
-0.6032759547233582,
-0.0069517018273472... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example solution: The mailbox was bent and broken and looked like someone had knocked it over on purpose.
Example explanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked
Problem: Relationship: 'defeat', Argument/Subject 1: 'clinton', Argument/Subject 2: 'bush'
| Solution: Bill Clinton defeats George H. W. Bush in national elections and becomes president-elect of the United States . | 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.10379837453365326,
0.934111475944519,
0.07374095916748047,
-0.05720367282629013,
0.3059069514274597,
-0.9494307637214661,
0.29456567764282227,
0.7575525045394897,
-0.039127763360738754,
-0.40683165192604065,
-0.2918812036514282,
-0.046525225043296814,
-1.1039178371429443,
-0.12133505940... |
TASK DEFINITION: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
PROBLEM: Sara had 4 quarters and 8 dimes in her bank . Her sister borrowed 4 dimes . How many dimes does Sara have now ?
SOLUTION: 4
PROBLEM: Roadster 's Paving Company used 10 tons of cement to pave Lexi 's street and 5.1 tons of cement to pave Tess 's street . How much cement did Roadster 's Paving Company use in all ?
SOLUTION: 15.1
PROBLEM: Jason has 676 Pokemon cards . Alyssa bought 224 of Jason 's Pokemon cards . How many Pokemon cards does Jason have now ?
SOLUTION: | 452
| 8 | NIv2 | task865_mawps_addsub_question_answering | fs_opt | [
0.3542710542678833,
0.6713931560516357,
-0.37980917096138,
-0.21771855652332306,
-0.4098440110683441,
-0.024373283609747887,
0.767102062702179,
0.3043268024921417,
0.09325370192527771,
-0.04580383747816086,
0.2679036259651184,
0.7408323287963867,
-0.12783829867839813,
-0.16075018048286438,... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Input: Consider Input: Question: Does expression of the pair-rule gene homologs runt , Pax3/7 , even-skipped-1 and even-skipped-2 during larval and juvenile development of the polychaete annelid Capitella teleta support a role in segmentation?
Answer: C. teleta eve, Pax3/7 and runt homologs all have distinct expression patterns and share expression domains with homologs from other bilaterians. None of the pair-rule orthologs examined in C. teleta exhibit segmental or pair-rule stripes of expression in the ectoderm or mesoderm, consistent with an independent origin of segmentation between annelids and arthropods.
Output: no
Input: Consider Input: Question: Do progesterone receptor and PTEN expression predict survival in patients with low- and intermediate-grade pancreatic neuroendocrine tumors?
Answer: Combined immunohistochemical assessment of PR and PTEN may help identify a small subset of PanNETs with more aggressive behavior and may aid in risk stratification.
Output: yes
Input: Consider Input: Question: Does transcranial magnetic stimulation reveal cortical hyperexcitability in episodic cluster headache?
Answer: We investigated cortical excitability in episodic cluster headache by using transcranial magnetic stimulation, providing evidence of cortical hyperexcitability in patients both inside and outside bout. We suggest that an abnormal state of cortical excitability could be involved in the pathophysiology of the disease.
| Output: yes
| 2 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.49387800693511963,
0.3292972445487976,
-0.2189374566078186,
0.2871240973472595,
-0.11779575049877167,
-0.4105031490325928,
0.7885075807571411,
0.6381075382232666,
0.6782193779945374,
-0.32854533195495605,
-0.5636746883392334,
0.42922013998031616,
-0.7649099826812744,
0.21595601737499237... |
Part 1. Definition
In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
Part 2. Example
آب و هوای مناسب برای رشد گندم شرایط ایدهآل برای رشد گندم ، آب و هوای خنک در دوره رشد رویشی ، آب و هوای معتدل در دوران تشکیل دانه و آب و هوای گرم و خشک در زمان برداشت محصول میباشد. بنابراین در مناطقی که زمستانهای سخت دارند، کشت گندم با مشکلاتی از قبیل سرمازدگی زمستانی مواجه میشود. البته باید بدانیم که گندم در برابر خشکی مقاومت چندانی ندارد و نمیتواند به مدت طولانی ، خشکی و کم آبی را تحمل نماید. اما قادر است خود را با شرایط خشک تا حدی تطبیق داده و با تشکیل یاختههای کوچکتر که در نهایت سبب تشکیل برگهای کوچک شده و در نتیجه روزنهها کوچکتر میشود، سطح تعریق را کاهش دهد و از اثرات سوء کم آبی تا حدی محفوظ بماند.
Answer: چه آب و هوایی برای رشد گندم خوب است؟
Explanation: This is a good example. Based on the passage, you can answer this question.
Part 3. Exercise
ب هویج به ویژه دارای بتا بسیار زیادی، و منبع ویتامین آ است. اما همچنین مقدار زیادی ویتامینهای گروه ب مثل اسید فولیک و موادمعدنی زیادی مثل کلسیم، مس، منیزیم، پتاسیم، فسفر و آهن است. از یک پوند(۴۵۴ گرم) هویج یک پیمانه آب هویج گرفته میشود، که در مقایسه با سیب و پرتقال بازده کمی دارد. بههرحال، گوشت هویج خیلی سفت است و مشکل اصلی درگرفتن آب آن جدا کردن گوشت هویج از آب آن است.
Answer: | چرا آب هویج سفت میشود؟ | 7 | NIv2 | task468_parsinlu_rc_question_generation | fs_opt | [
0.37284865975379944,
1.0523415803909302,
-0.6794496774673462,
-0.14235782623291016,
-0.4482531249523163,
-0.6398161053657532,
0.15804073214530945,
1.315042495727539,
-0.20539863407611847,
-0.08315279334783554,
-0.9530894160270691,
-0.007220179308205843,
-0.8909268379211426,
0.1901869028806... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: ভারতের গ্যাস কর্তৃপক্ষের উদ্যোগে রাঁচি শহর গ্যাস বিতরন প্রকল্প
A: | గేల్ కు చెందిన రాంచీ సిటీ గ్యాస్ పంపిణీ పథకం; | 4 | NIv2 | task1031_pib_translation_bengali_telugu | zs_opt | [
-0.44343435764312744,
1.3694655895233154,
0.9686086177825928,
0.10449159890413284,
-0.47157835960388184,
-0.5955487489700317,
1.0909504890441895,
0.602607786655426,
-0.11115016043186188,
0.060287054628133774,
-0.9521456956863403,
0.0682120993733406,
-0.2644311189651489,
0.3640217185020447,... |
Detailed Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Problem:select the rows whose wins record is equal to 10 . there is only one such row in the table . the club record of this unqiue row is deportivo alavés .
Solution: | and { only { filter_eq { all_rows ; wins ; 10 } } ; eq { hop { filter_eq { all_rows ; wins ; 10 } ; club } ; deportivo alavés } } | 8 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.3135021924972534,
-0.1109294593334198,
-0.7267674207687378,
0.4980933964252472,
0.13059157133102417,
-0.621174693107605,
0.6456795930862427,
0.4650917947292328,
0.20958906412124634,
-0.2790772318840027,
-0.21946315467357635,
-0.07065995037555695,
-0.22885599732398987,
0.6146835088729858,... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example Input: He chose to fill out the form with a pencil rather than a pen because the _ was dry. (A) pen (B) pencil
Example Output: A
Example Input: Neil's cat was terrified of thunderstorms but Kyle's wasn't bothered by them. _ found their cat hiding under the bed after the loud crackle of thunder. (A) Neil (B) Kyle
Example Output: A
Example Input: Bob was poor and got carrots instead of lambchops to eat because the _ are cheap. (A) carrots (B) lambchops
Example Output: | A
| 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.5687938928604126,
0.9595191478729248,
0.3069184422492981,
-0.4669112265110016,
-0.10212394595146179,
-1.1249146461486816,
0.833437442779541,
0.7707377076148987,
-0.11826513707637787,
0.07163345068693161,
0.33987462520599365,
0.29570886492729187,
0.08950761705636978,
-0.2560320496559143,... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਦੀ ਪ੍ਰਧਾਨਗੀ ਹੇਠ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਸੈਰ-ਸਪਾਟਾ ਦੇ ਖੇਤਰ ਵਿੱਚ ਸਹਿਯੋਗ ਵਧਾਉਣ ਲਈ ਭਾਰਤ ਅਤੇ ਬੁਲਗਾਰੀਆ ਦਰਮਿਆਨ ਸਹਿਮਤੀ ਪੱਤਰ 'ਤੇ ਹਸਥਾਖ਼ਰਾਂ ਨੂੰ ਮਨਜ਼ੂਰੀ ਦੇ ਦਿੱਤੀ ਹੈ।
A: নয়াদিল্লি, ২৯ আগস্ট, ২০১৮ পর্যটনে সহযোগিতা সম্প্রসারণ করতে ভারত ও বুলগেরিয়ার মধ্যে সমঝোতাপত্র স্বাক্ষরের বিষয়টি অনুমোদন করেন কেন্দ্রীয় মন্ত্রিসভা।
****
Q: ਇਸ ਬਜਟ ਨਾਲ ਟੈਕਸ ਵਿਵਸਥਾ ਦਾ ਸਰਲੀਕਰਨ ਹੋਵੇਗਾ, infrastructure ਦਾ ਆਧੁਨਿਕੀਕਰਨ ਹੋਵੇਗਾ।
A: এই বাজেটের মাধ্যমে কর ব্যবস্থা সরলীকরণ হবে, পরিকাঠামোর আধুনিকীকরণ হবে।
****
Q: ਭਾਰਤ ਵਿੱਚ ਵਪਾਰ ਕਰਨ ਦਾ ਇੱਕ ਲਾਭ Low cost manufacturing ਵੀ ਹੈ। ਉਸ ਦੇ ਪਿੱਛੇ ਭਾਰਤ ਵਿੱਚ Competitive Labour Cost ਇੱਕ ਬਹੁਤ ਵੱਡੀ ਤਾਕਤ ਹੈ।
A: | ভারতে ব্যবসা করার একটি লাভ হল আমাদের দেশে কোন কিছুর উৎপাদন মূল্য অনেক কম।
****
| 4 | NIv2 | task1026_pib_translation_punjabi_bengali | fs_opt | [
-0.3481738567352295,
0.39999914169311523,
-0.2925521433353424,
0.07312797009944916,
0.22199708223342896,
0.411504864692688,
0.23362356424331665,
0.49405109882354736,
-0.2836979031562805,
0.15438544750213623,
-0.3565232753753662,
-0.16005420684814453,
0.6999043226242065,
0.26494288444519043... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: Bo od tego jest rodzina.
A: | هذا ما تفعله الأسرة. | 4 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.7192670106887817,
1.0605080127716064,
0.2549389898777008,
-0.7887516021728516,
0.056513167917728424,
0.07466010749340057,
1.3873541355133057,
-0.035734593868255615,
0.6766624450683594,
-0.5566015839576721,
-0.41447317600250244,
0.31136244535446167,
-0.8047213554382324,
0.299701333045959... |
Detailed Instructions: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Problem:Emirates Airline president Sir Tim Clark . REUTERS/Satish Kumar
Emirates Airline president Sir Tim Clark believes the US aviation industry would suffer if the system of Open Skies agreements falls apart.
Clark says international demand for air travel and aircraft have skyrocketed since the first of more than 120 Open Skies agreements were signed in 1992.
Emirates Airline president Sir Tim Clark believes the US aviation industry could become a victim of the trade dispute centered around the Open Skies agreements that govern air travel between the US and the United Arab Emirates where his airline is based.
This Clark believes threatens to weaken the network of Open Skies agreements that have served the aviation industry so well over the past couple of decades.
REUTERS/Satish Kumar "When the US went Open Skies I thought it was the best thing because if the US had done it then everybody would follow suit " Clark told us.
"I know that as a result of what they did the number of planes Boeing sold went nuclear " Clark declared. "Because the number of aircraft sold was a direct function of the Open Skies versus closed skies relationship."
Solution: | Tim Clark | 8 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.7938106060028076,
0.35909613966941833,
-0.41551682353019714,
-0.5614333152770996,
0.208634153008461,
0.38795042037963867,
0.20203326642513275,
0.6212693452835083,
-0.22233697772026062,
0.7351781725883484,
-0.3594774305820465,
0.6718227863311768,
-0.8474140763282776,
-0.15861225128173828... |
You will be given a definition of a task first, then some input of the task.
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Topic: Animal testing
Argument: Tested animals are treated humanely.
Output: | in favor | 1 | NIv2 | task209_stancedetection_classification | zs_opt | [
-0.3205190896987915,
-0.24461528658866882,
0.15629246830940247,
0.261640727519989,
0.11639969050884247,
-0.44427087903022766,
0.16222433745861053,
0.2728223204612732,
0.23405906558036804,
0.3783935308456421,
-0.4049072861671448,
-0.21304872632026672,
-0.016759075224399567,
0.07159131020307... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Q: Hunter rejected the application from Jeffrey due to lack of experience, but _ asked him to try next year. (A) Hunter (B) Jeffrey
A: | A | 4 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.3562800884246826,
0.4308289587497711,
0.09563508629798889,
-0.4664522409439087,
0.0691642165184021,
-0.7347159385681152,
0.9124879240989685,
0.18713417649269104,
0.5443416833877563,
-0.21323463320732117,
0.09881118685007095,
0.30526596307754517,
-0.11314317584037781,
-0.3649560213088989... |
Teacher:In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Teacher: Now, understand the problem? Solve this instance: 3753 + 2530 + 4492 + 1905 - 3998 + 6965
Student: | -8141 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.0022010861430317163,
-0.0785602480173111,
-0.9014087915420532,
0.1537172496318817,
-0.5025683641433716,
0.15120747685432434,
1.093492031097412,
1.0678167343139648,
-0.27453017234802246,
-0.7796491384506226,
-0.6736383438110352,
-0.31846076250076294,
-0.5734074115753174,
-0.3011187314987... |
Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: How did the weapons became safer?, Context: Rocket-propelled grenades can be—and often are—used against hovering helicopters (e.g., by Somali militiamen during the Battle of Mogadishu (1993)). Firing an RPG at steep angles poses a danger to the user, because the backblast from firing reflects off the ground. In Somalia, militia members sometimes welded a steel plate in the exhaust end of an RPG's tube to deflect pressure away from the shooter when shooting up at US helicopters. RPGs are used in this role only when more effective weapons are not available.
Output: | deflect pressure away from the shooter | 3 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.2378135472536087,
0.903640866279602,
-0.1924801766872406,
-0.5291348695755005,
0.01737273670732975,
-0.6429198384284973,
1.1077616214752197,
0.6378787159919739,
0.9466195106506348,
0.16945984959602356,
-0.9342440366744995,
0.24381598830223083,
-0.7816338539123535,
-0.46371787786483765,
... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
--------
Question: F: What about taking a tour around Cambridge today? ,M: I did that with a friend yesterday. ,F: But didn't you say you would go to the London Eye yesterday? ,M: My friend had already been there, so I changed my plan. Today I want to see some modern art work. ,F: If so, you can go to Tate Modern. It's a museum with a collection of international artwork from the nineteen hundreds. ,M: Do many people visit it? ,F: Yes, it's very popular. But don't worry, it's usually not crowded on weekdays. If you go tomorrow though, there're maybe a lot of people.
(A) M: You are right. I should go there today on Monday, although there might be crowded. (B) M: I am afraid I did not quite catch what you were saying. Please repeat it. (C) M: I will go there tomorrow on Friday. (D) M: I should go there today on Saturday to avoid the crowd.
Answer: B
Question: F: Have you seen this story in The Herald? It says The Times is closing down in three months' time. ,M: Ben, that's good news. That newspaper is terrible. I won't miss it.
(A) F: Why do you feel disappointed about The Times? It is not going to close down. (B) F: Why do you feel joyful about The Times? It is closing down in two months. (C) F: You must feel joyful as The Times is going to close down in three months. (D) F: Just a minute! I do not quite follow what you are saying, would you mind repeating that?
Answer: C
Question: F: Good morning, sir. May I come in? ,M: Good morning. Yes, please. Take a seat. I guess you want to open an account, right? ,F: Yes. ,M: Great. What account do you want to open? A checking account or a saving account? ,F: I would like to open a saving account in your bank. What is the procedure? ,M: Would you like to open an account in a single name or in joint names? ,F: I would like to open a joint account with my father.
(A) M: OK. You want a saving account with a single name, don't you? (B) M: Sure. You need to open a saving account in joint names with your mother. (C) M: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that? (D) M: OK. Why do you want to open a checking account in a single name?
Answer: | C
| 7 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.6782118082046509,
0.08653189241886139,
-0.20767903327941895,
-0.3056575059890747,
0.4158035218715668,
-0.5871159434318542,
0.2648284137248993,
0.16199716925621033,
-0.024766668677330017,
0.022967539727687836,
-0.005866724997758865,
-0.29155775904655457,
0.27561599016189575,
0.12246704101... |
Definition: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Input: System Reference: where would you like it to be near to?
Original Reference: could you tell me the location you are looking for?.
Output: | 0 | 2 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.31088942289352417,
0.7271221876144409,
-0.46980708837509155,
0.12419455498456955,
-0.24745815992355347,
-0.6910805702209473,
0.8250161409378052,
0.26950323581695557,
0.22371819615364075,
0.01951425150036812,
-0.8713322877883911,
0.13051731884479523,
-0.6629471182823181,
-0.3118606209754... |
Q: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
customer: Hi.
agent: Hello. How can I aid you at this moment?
customer: Can you please help me in changing my existing reservation?
agent: Sure, I am here to help you with this.
customer: Thank you.
agent: Can you please provide your name to check your reservation status?
customer: Kathleen Miller is my name.
agent: Kathleen Miller, there is no active reservation found under your name in our database.
__
agent: Thank you for contacting us.
A: | customer: No problem, thank you. | 7 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.5080236196517944,
0.386764794588089,
-0.40975335240364075,
-1.0189179182052612,
0.207164466381073,
-0.11838634312152863,
1.380503535270691,
-0.4368925094604492,
0.06968986988067627,
-0.46635901927948,
0.3808002471923828,
-0.7827959060668945,
-0.9320200681686401,
0.4870084524154663,
-0... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: فرموں کے احاطے کے اندر: سی ای ایف ایم او ڈبلیو نے 5 ہزار سواری ڈبوں کے لیے ٹینڈر طلب کئے ہیں ، یہ ٹینڈر جولائی 2017 میں کھولے جائیں گے اور توقع کی جاتی ہے کہ کام نومبر 2017 سے شروع ہوجائے گا۔
Student: | फर्म के परिसरों में : कोफमों ने 5,000 सवारी डिब्बों के लिए निविदाएं आमंत्रित की हैं, निविदा जुलाई 2017 में खोली जाएंगी, कार्य की संभावित शुरुआत नवम्बर 2017 | 6 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.47329583764076233,
0.3792010545730591,
-0.6365355253219604,
0.3264669179916382,
-0.48676589131355286,
-0.39172935485839844,
-0.26817601919174194,
0.23835021257400513,
-0.1660604476928711,
-0.8335339426994324,
0.23142291605472565,
-0.16511455178260803,
0.5236088633537292,
0.1809595525264... |
instruction:
Given a scientific question, generate a correct answer to it.
question:
Tissues are organized by what?
answer:
cells
question:
During the embryonic stage of vertebrates, the notochord develops into what?
answer:
backbone
question:
A d. melanogaster population has an average heterozygosity of what?
answer:
| 14%
| 9 | NIv2 | task591_sciq_answer_generation | fs_opt | [
1.1889063119888306,
0.2252226173877716,
-0.5830137729644775,
0.05701121687889099,
-0.5047646760940552,
-0.2087266445159912,
0.6362801790237427,
-0.3991363048553467,
0.08280665427446365,
-0.0697534903883934,
-0.5296158790588379,
-0.22627389430999756,
-0.9315734505653381,
0.14570891857147217... |
Teacher:In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: Review: I love these actors, but they were wasted in this flick.I can only wonder, what WERE they thinking agreeing to this crap???Debra Winger just phoned it in; Dennis Quaid and Arliss Howard were caricatures. Some people thought it was deep. Well, if you liked "Breaking the Waves", you'll probably like this too. I hated both. 3/10 Question: is it a negative review?
Student: | yes | 6 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.7061420679092407,
0.28097301721572876,
0.1536252200603485,
0.4478399455547333,
0.3305223882198334,
-0.951378345489502,
0.27261894941329956,
0.3598174750804901,
-0.4238737225532532,
0.3889418840408325,
0.0071716709062457085,
-0.39525672793388367,
-0.18534217774868011,
-0.5632045269012451... |
Teacher: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Teacher: Now, understand the problem? If you are still confused, see the following example:
She shone her light around the space, following the glow of the flashlight's ray along the walls.
Solution: Past
Reason: The verb "shone" is in past tense.
Now, solve this instance: The door of the cafe chimed, announcing my arrival.
Student: | Past | 2 | NIv2 | task429_senteval_tense | fs_opt | [
-0.4430353045463562,
0.5691576600074768,
0.10144999623298645,
-0.08046761155128479,
-0.023794006556272507,
-0.015957718715071678,
0.568061113357544,
0.6969364881515503,
0.16549012064933777,
0.07435482740402222,
-0.3864867687225342,
-0.23896147310733795,
-0.4159180521965027,
-0.568267822265... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Dadurch wären die verbliebenen Verweigerer – China, Ägypten, Indien, Indonesien, Iran, Israel, Nordkorea und Pakistan – gezwungen, den CTBT auch neu zu überdenken. Dies würde uns einem weltweiten Verbot von Atomversuchen – ob in der Luft, unter Wasser, im Weltraum oder unterirdisch – ein Stück näher bringen.
Output: | Así, los restantes disidentes –China, Egipto, la India, Indonesia, el Irán, Israel, Corea del Norte y el Pakistán– se verán obligados a considerar la posibilidad de hacer también ellos lo propio, con lo que nos acercaríamos más a una prohibición mundial de los ensayos nucleares en cualquier medio: en la atmósfera, bajo el mar, en el espacio ultraterrestre o bajo tierra. | 1 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.49225783348083496,
0.5753169059753418,
-0.3247321546077728,
0.03923199325799942,
0.24926868081092834,
-0.2362302541732788,
0.10653205215930939,
0.43035998940467834,
-0.04976813867688179,
0.0190877802670002,
-0.18174788355827332,
-0.25389522314071655,
-0.20624320209026337,
-0.16852314770... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Q: He hated sitting around and waiting to be refuted .
A: | Changed | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.8923200368881226,
0.9014421105384827,
0.44628316164016724,
-0.16954517364501953,
-0.12522433698177338,
-0.6040740013122559,
0.13648183643817902,
1.0592362880706787,
0.3441784083843231,
-0.20109473168849945,
-0.8524587750434875,
-0.15608061850070953,
-1.0390846729278564,
-0.0212018284946... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Input: Consider Input: Sentence 1: The church had a reputation for having great music. Sentence 2: They had a choir that did an amazing job. Sentence 3: The choir practiced all winter for their Christmas performance. Sentence 4: When it was time to perform, the group amazed the congregation. Sentence 5: What a beautiful performance it had been! Choices: a. Take a break. b. The Choir.
Output: b
Input: Consider Input: Sentence 1: I woke up to prepare for my first day of school. Sentence 2: When I got on campus, this girl greeted me. Sentence 3: She introduced herself and commented on my looks. Sentence 4: We had a small conversation and exchanged numbers. Sentence 5: In addition, she asked me out the next day. Choices: a. Straight Out of the Oven. b. Plot Twist.
Output: b
Input: Consider Input: Sentence 1: John was the best boyfriend Lucy had ever had. Sentence 2: She loved him more than she'd ever loved anyone. Sentence 3: But one night she got mad. Sentence 4: She yelled at John over something that wasn't his fault. Sentence 5: She hopes John forgives her. Choices: a. Bryant Park. b. Love and War.
| Output: b
| 2 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.43019548058509827,
0.5758833289146423,
-0.4258434474468231,
0.27846500277519226,
0.18011394143104553,
-0.784027099609375,
0.0015157628804445267,
1.1992013454437256,
0.3479462265968323,
-0.00630505895242095,
-0.3290841579437256,
-0.21326647698879242,
-0.26591622829437256,
-0.3368830680847... |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Part 2. Example
父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Answer: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explanation: The Japanese sentence is correctly translated into Italian, because the meaning is preserved.
Part 3. Exercise
高校を卒業した人なら以前に聞いたことがあるはずです
Answer: | Ma se vi siete diplomati, posso dare quasi per certo che avete già ricevuto queste informazioni. | 7 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.04035954549908638,
0.3784458041191101,
-0.45039302110671997,
-0.6981565356254578,
0.024983027949929237,
-0.7284682989120483,
0.777517557144165,
0.8979327082633972,
0.5248610973358154,
-0.3846876621246338,
-0.7608890533447266,
0.49013715982437134,
-0.7125377655029297,
0.05626518279314041,... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
20852 | No | 0 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.3819011449813843,
0.567847490310669,
0.17676691710948944,
-0.16263704001903534,
-0.40933758020401,
-0.29229825735092163,
0.5976513624191284,
0.8432197570800781,
-0.1556212455034256,
0.07450873404741287,
-1.2149049043655396,
-0.2558659017086029,
-0.44481778144836426,
-0.45295578241348267... |
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