inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, given a sentence in English Tokens, your task is to convert it into the English language
[EX Q]: `` I understand the frustration the Police and Fire Service teams feel when faced with problems over Guy Fawkes , and I hope these new restrictions will send a message that deliberate harm or damage is criminal and is being clamped down on , '' Mr Benson-Pope said .
[EX A]: "I understand the frustration the Police and Fire Service teams feel when faced with problems over Guy Fawkes, and I hope these new restrictions will send a message that deliberate harm or damage is criminal and is being clamped down on," Mr Benson-Pope said.
[EX Q]: British author James Graham Ballard , known as J. G. Ballard has died at the age of 78 .
[EX A]: British author James Graham Ballard, known as J. G. Ballard has died at the age of 78.
[EX Q]: The ship was captured roughly 830 kilometers south-east of Mombasa and is reportedly heading towards the Somali port of Eyl .
[EX A]: | The ship was captured roughly 830 kilometers south-east of Mombasa and is reportedly heading towards the Somali port of Eyl.
| 6 | NIv2 | task547_alt_translation_entk_en | fs_opt | [
-0.0424979031085968,
0.08009214699268341,
0.2354436069726944,
-1.1620526313781738,
0.6480147838592529,
-1.5453739166259766,
-0.4834328889846802,
0.20593544840812683,
-0.14066609740257263,
0.49558255076408386,
-0.3292727470397949,
0.7925740480422974,
-0.9056212306022644,
-0.3284588754177093... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Q: Maar niet over verraad .
A: | None | 4 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.4124298393726349,
0.2561238408088684,
0.0766412615776062,
-0.39439550042152405,
-0.5285724997520447,
-0.1521826833486557,
0.7887580394744873,
-0.30464068055152893,
0.5181916952133179,
-0.7058144211769104,
-0.7572413682937622,
0.4269331693649292,
-0.3971259593963623,
0.47482043504714966,
... |
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
What are you smoking, and where can I get some? | un permpt or i wll testfy against gambro andmonkeytaggers and baby home thiefs? | 0 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.6243395805358887,
1.4036073684692383,
-0.10539821535348892,
-0.21711945533752441,
-0.2508041262626648,
-0.3031429648399353,
1.149855136871338,
0.050599608570337296,
-0.11713404953479767,
0.13655687868595123,
-0.6776680946350098,
-0.6091145277023315,
-0.7793111205101013,
0.440003901720047... |
Detailed Instructions: 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.
See one example below:
Problem: 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.
Explanation: 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.
Problem: Context: Pancreatic neuroendocrine tumors (PNETs) are a group of rare tumors. Chromogranin A (CgA) was considered as the most practical and useful serum tumor marker in PNET patients. But peripheral blood levels of CgA are not routinely tested in Chinese patients with PNETs. This study was to assess the diagnostic value of CgA in Chinese patients with PNETs especially in patients with insulinomas.', 'Eighty-nine patients with PNETs including 57 insulinomas and 32 non-insulinoma PNETs as well as 86 healthy participants were enrolled in this study between September 2003 and June 2013. Serum levels of CgA were measured by ELISA method. Expression of CgA protein was detected in 26 PNET tissues including 14 insulinomas by immunohistochemical staining.', 'Serum levels of CgA in 89 PNET patients were significantly higher than that in healthy controls (P\u2009=\u20097.2\u2009×\u200910-9). Serum levels of CgA in 57 patients with insulinomas (median 64.8\xa0ng/ml, range 25-164) were slightly higher than the levels in healthy controls (median 53.4\xa0ng/ml, range 39-94) but much lower than the levels in 32 patients with non-insulinoma PNETs (median 193\xa0ng/ml, range 27-9021), P\u2009=\u20090.001. The serum CgA levels were reduced in 16 of 17 patients with insulinomas after tumor resection. ROC curve showed that CgA values at 60\xa0ng/ml distinguished patients with insulinomas from healthy controls but its sensitivity and specificity were 66.7% and 73.3%, respectively. In contrast, CgA values at 74\xa0ng/ml distinguished patients with non-insulinoma PNETs from healthy controls, and the sensitivity and specificity were 65.6% and 91.9%, respectively. Except for two insulinomas with negative staining of CgA, 12 insulinoma tissues showed positive staining of CgA.\Question: Is chromogranin A a reliable serum diagnostic biomarker for pancreatic neuroendocrine tumors but not for insulinomas?
Solution: | CgA is a reliable serum diagnostic biomarker for PNETs but not for insulinomas. | 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.019154414534568787,
0.5316295623779297,
-0.307830274105072,
-0.46562162041664124,
0.6713160276412964,
-0.3970652222633362,
0.09191568195819855,
0.6529426574707031,
0.10836480557918549,
0.30540481209754944,
-0.24706177413463593,
0.20363594591617584,
-0.5045315623283386,
0.2885194420814514... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Q: אנחנו חושבים על קנייתים כרצי מרתון מעולים.
A: | Pensiamo che i kenioti siano grandi maratoneti. | 9 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
0.10010088980197906,
0.6237953901290894,
-0.2029578685760498,
0.8966783285140991,
-0.4129752218723297,
-0.16428866982460022,
0.27774739265441895,
-0.11057111620903015,
0.8023352026939392,
-1.0056111812591553,
-1.2163808345794678,
0.4086112380027771,
-0.48426946997642517,
0.819912314414978,... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.
One example: ویژگی های هنر عصر اموی: ۱- تلفیقی بودن ۲- بازنمایی نوعی تفنن و تفریح ۳- نقاشی های تزئینی و تندیس های بی کیفیت
نقاشی های تزئینی و تندیس های بیکیفیت، یکی از ویژگی های هنر عصر اموی است.
Solution is here: E
Explanation: The second sentence agrees with the first sentence.
Now, solve this: عالم سایه خداست و دانی که سایه وجود حقیقی ندارد معذالک هست، از طرفی هستی اش وابسته به صاحب سایه است. ابن عربی سوی الحق را عالم نامیده است و نسبت آن را با خداوند همانند نسبت سایه با صاحب سایه می داند.
ارتباط خداوند با جهان هستی مانند صاحب سایه به سایه است.
Solution: | E | 6 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.5609151124954224,
0.4645969271659851,
0.5152804851531982,
-0.10734264552593231,
-0.4652014672756195,
0.022685334086418152,
0.4637230634689331,
1.3882728815078735,
0.5894647836685181,
0.13915133476257324,
-0.636088490486145,
0.28178107738494873,
-0.3763282597064972,
-0.2643410861492157,
... |
Definition: A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: نیشنل وار میموریل کے نقشے میں چار ہم مرکز دائرے یعنی‘ امر چکر یا لازوال زندگی کا دائرہ،‘ ویرتا چکر یا دائرہ شجاعت،‘تیاگ چکر یا دائرہ ایثار اور رکشک چکر یا دائرہ تحفظ شامل ہیں۔
Output: | राष्ट्रीय युद्ध स्मारकात 4 वर्तुळ असून, त्यांना ‘अमर चक्र’ ‘वीरता चक्र’ ‘त्याग चक्र’ आणि ‘रक्षक चक्र’ अशी नावे देण्यात आली आहेत. | 2 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
-0.28868919610977173,
0.4923827350139618,
-0.1416279375553131,
-0.16068768501281738,
-0.18419714272022247,
-0.22563666105270386,
0.9134618043899536,
-0.6472910046577454,
0.18589165806770325,
-0.2369457334280014,
-0.35226285457611084,
-0.3200429677963257,
0.04137691110372543,
0.305705070495... |
Definition: You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Input: Suppose -13 - 5 = 3*x. Let p be (2 - (1 - 1)) + x. What is the remainder when 5 is divided by 1*(0 - (p - -1))?
Output: | numbers | 2 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.2863600254058838,
0.1763800084590912,
-0.11744559556245804,
0.037652477622032166,
-0.006439591757953167,
0.3536428213119507,
0.7870460152626038,
0.4147910475730896,
0.6169700622558594,
-0.46420276165008545,
-0.9687310457229614,
-0.018385913223028183,
-0.6525454521179199,
0.21191909909248... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
Q: [211, 797]
A: | [211, 797] | 4 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.803981363773346,
0.9987493753433228,
-0.20528271794319153,
-0.4488380253314972,
-0.009793443605303764,
-0.29207873344421387,
0.8874737024307251,
0.7723789215087891,
0.4274424910545349,
0.2924405634403229,
-0.9414860606193542,
-0.43673768639564514,
0.020600056275725365,
-0.52278769016265... |
instruction:
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.
question:
99367
answer:
Yes
question:
87523
answer:
Yes
question:
46818
answer:
| No
| 9 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.2926552891731262,
0.5175812840461731,
0.13008394837379456,
-0.11983717232942581,
-0.5566612482070923,
-0.038587816059589386,
0.705872654914856,
0.6782218217849731,
-0.0665750801563263,
0.22840476036071777,
-0.9665088653564453,
-0.22961248457431793,
-0.4718998670578003,
-0.13151337206363... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
[EX Q]: مرد بدون پا بود و فقط یک بازو داشت. مرد بدون پا بود و فقط یک بازو داشت.
[EX A]: The man was without legs and only with one arm.
[EX Q]: هر نامه با این شروع می شد ، « عزیزترین عزیزم ، آقای رئیس جمهور ، » و ازش برای کاری که کرده بود تعریف می کرد.
[EX A]: Every letter started, "My dearest, darling Mr. President," and he'd tell him something wonderful about what he did.
[EX Q]: اجازه بدهید چیزی که دقیقاً برعکس اراده ی آن قدرت ها به ما آموزش داده شده است را به یاد بیاوریم ، یعنی این فکر که دلسوزی افکار ما را احاطه می کند ، و آن را مشغول می کند ، و آسیب پذیری ضعف است ، و احساسات غیر قابل اعتماد هستند ، و شما نباید بر حسب تصور شخصی خودتان قضاوت کنید ، که این کار مورد علاقه ی من است. و شما نباید بر حسب تصور شخصی خودتان قضاوت کنید ، که این کار مورد علاقه ی من است.
[EX A]: | And then let's remember that we've been taught the exact opposite by the powers that be, that compassion clouds your thinking, that it gets in the way, that vulnerability is weakness, that emotions are not to be trusted, and you're not supposed to take things personally, which is one of my favorites.
| 6 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.40093228220939636,
0.5011475682258606,
0.0041762953624129295,
-0.2531742751598358,
-0.6311198472976685,
-0.18993008136749268,
1.2229007482528687,
0.4715908169746399,
0.22134283185005188,
-0.5133440494537354,
-0.6187446117401123,
0.6449337005615234,
-0.291046142578125,
0.0112207848578691... |
Detailed Instructions: In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Q: suit l’évolution des maladies à travers l’Europe afin de fournir un fondement pour des mesures de santé publique dans les États membres, puis diffuse les résultats aux parties prenantes afin de prendre rapidement des mesures au niveau européen et de chaque État ;
A: | Monitor trends of diseases across Europe in order to provide a rationale for public health actions in MS and disseminate the results to stakeholders for timely public health actions at EU and MS level | 9 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | zs_opt | [
-0.17636993527412415,
0.5905316472053528,
-0.17643219232559204,
-0.7137893438339233,
0.038025178015232086,
-0.2819858193397522,
-0.021992268040776253,
0.39062461256980896,
-0.18160906434059143,
0.11056361347436905,
0.06710541248321533,
0.5697791576385498,
-0.5740478038787842,
0.28304034471... |
Teacher: A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Indias growth story is not only good for the people of India but also for the entire world
Solution: ભારતની વૃદ્ધિની વાર્તા ફક્ત ભારતના લોકો માટે જ નહીં પણ સમગ્ર વિશ્વ માટે પણ સારી છે
Reason: Correct translation for given sentence. Input sentence means 'India's growth story is not only good for the people of India but also for the entire world' which is the same as the output sentence.
Now, solve this instance: He said that the Union and State Governments have both worked together towards improving EoDB, in the spirit of cooperative, competitive federalism.
Student: | તેમણે જણાવ્યું હતું કે, કેન્દ્ર અને રાજ્યો સરકારો બંનેએ વેપાર-વાણિજ્યની સરળતામાં સુધારો કરવા માટે ખભેખભો મિલાવીને કામ કર્યું છે, જે સહકારી, સ્પર્ધાત્મક સંઘવાદનાં જુસ્સાનું પ્રતિક છે. | 2 | NIv2 | task1079_pib_translation_english_gujarati | fs_opt | [
-0.8174844980239868,
0.37476101517677307,
-0.14844733476638794,
-0.23680242896080017,
-0.017743075266480446,
-0.7084429264068604,
0.1804393231868744,
0.05160786211490631,
-0.47409987449645996,
-0.2170276939868927,
-0.5488134622573853,
0.0011902410769835114,
-0.6017093658447266,
-0.32872685... |
You will be given a definition of a task first, then some input of the task.
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 simplicity, answers should be in all lower cased letters.
Category: ODE TO ENGLAND
Clue: To this county in England we tip our hat; it's known for its cheese & a vanishing cat
Output: | cheshire | 1 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.24284696578979492,
1.1856282949447632,
0.5085520148277283,
-0.20688378810882568,
0.21618428826332092,
-0.6230779886245728,
-0.04059336706995964,
0.13503292202949524,
0.06503874063491821,
-0.35494887828826904,
-0.04876510798931122,
-0.007836975157260895,
-0.3620935082435608,
0.2691468596... |
Given the task definition and input, reply with output. In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Context: None
Sentence: Henry was anxiously awaiting the release of an album.
Character: His favorite band
| None | 5 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.32510900497436523,
0.39442065358161926,
0.42856961488723755,
0.006931135896593332,
-0.0946059599518776,
-0.06148604676127434,
0.5903410911560059,
0.5476580858230591,
0.3794569969177246,
-0.5435807108879089,
-0.3692007064819336,
-0.0723334327340126,
-0.4467460513114929,
0.015810793265700... |
Definition: Given a scientific passage and an answer, generate a question for the given answer.
Input: Passage: Chemical weathering is different than mechanical weathering. The minerals in the rock change. The rock changes composition and becomes a different type of rock. Most minerals form at high pressure or high temperatures deep within Earth. But at Earth's surface, temperatures and pressures are much lower. Minerals that were stable deeper in the crust are not stable at the surface. That’s why chemical weathering happens. Minerals that formed at higher temperature and pressure change into minerals that are stable at the surface. Chemical weathering is important. It starts the process of changing solid rock into soil. We need soil to grow food and create other materials we need. Chemical weathering works through chemical reactions that change the rock. Answer: chemical
Output: | What type of weathering causes the minerals in a rock to change? | 2 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.5782163143157959,
0.9643117189407349,
-0.6702039241790771,
-0.011211194097995758,
-0.24778532981872559,
-1.7839221954345703,
-0.29767894744873047,
0.8661888241767883,
-0.2869170308113098,
-0.06362724304199219,
-0.36114004254341125,
0.029267722740769386,
-0.6317250728607178,
-0.0416676327... |
Definition: Translation from English to Telugu.
Input: It's God's country, ain't it?
Output: | ఇది అది దేవుని దేశం కాదు? | 2 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.36005181074142456,
0.7401219606399536,
-0.013077134266495705,
0.36186933517456055,
0.16165867447853088,
-0.97163325548172,
-0.07337170094251633,
0.268412709236145,
-0.027875632047653198,
0.020614758133888245,
-0.7501005530357361,
0.10322340577840805,
-0.30268028378486633,
0.0111069930717... |
Definition: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Input: Sentence 1: Henry bent down to pick up a piece of paper on the floor.
Sentence 3: She managed to kick him on his but
Sentence 4: He ended up tumbling on the ground
Sentence 5: Hannah aggressively laughed
Option 1: Henry quietly approached Hannah.
Option 2: Hannah quietly approach Henry.
Output: | Option 2 | 2 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
0.19812577962875366,
0.5107905864715576,
0.3657727837562561,
-0.3007718324661255,
-0.11158160120248795,
-0.22247980535030365,
0.3455395996570587,
0.7699242234230042,
0.5135523080825806,
-0.31347182393074036,
-0.9014681577682495,
-0.5031359195709229,
-0.17872117459774017,
0.0693978518247604... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: यह शांत है फिर भी कुछ भी निगल सकता हैं.
A: | It's soft and yet it can hold anything up. | 4 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.4560406804084778,
1.5996105670928955,
0.25477731227874756,
-0.07232002913951874,
0.10825403034687042,
-0.9855716228485107,
0.1336396485567093,
-0.030724801123142242,
0.09390895813703537,
-0.5040901899337769,
0.4511721134185791,
0.42609351873397827,
-1.2570441961288452,
0.0899538174271583... |
Detailed 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.
Q: In which battle did this US Navy admiral fight who shares the same last name as the 12th president of the United States ?
A: | the Battle of Manila Bay | 9 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.2833693027496338,
0.8380056023597717,
-0.2716740369796753,
0.0021634919103235006,
-0.2761492133140564,
-0.3079797625541687,
1.0784616470336914,
0.14516636729240417,
0.43830406665802,
-0.31640204787254333,
0.10943958163261414,
-0.3248422145843506,
-0.3780243694782257,
0.02813734486699104... |
Teacher:In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Teacher: Now, understand the problem? Solve this instance: Context: Tracy as the elder brother was tasked by his mother to get Kai home from the park.
Answer: will learn responsibility
Question: What will happen to Others?
Student: | False | 6 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.31772932410240173,
0.07079850137233734,
0.016557270660996437,
-0.3001234233379364,
-0.4605420231819153,
-0.7122420072555542,
1.1024627685546875,
0.859539270401001,
0.17471617460250854,
0.2063579112291336,
-0.5412620306015015,
-0.5029298663139343,
-0.3836948275566101,
0.19361063838005066... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: the us federal reserve announced tuesday it would make an unprecedented ## - billion-dollar rescue loan to save insurance giant american international group from bankruptcy amid fears of a catastrophic meltdown on financial markets . Title: fed launches aig rescue loan to avoid market catastrophe
A: | yes | 9 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.5090527534484863,
-0.10652893036603928,
0.6306183338165283,
0.10372510552406311,
-0.26147568225860596,
-0.38244983553886414,
0.2610589861869812,
1.1212797164916992,
-0.14638358354568481,
0.26112979650497437,
-0.9016683101654053,
-0.19912461936473846,
-0.7703971862792969,
0.0966967567801... |
TASK DEFINITION: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
PROBLEM: 私が会っていた彼女は彼女じゃない郵便受けで
SOLUTION: Jej widok, to nie ona, przy skrzynce na listy
PROBLEM: ご清聴ありがとうございました
SOLUTION: Dziękuję.
PROBLEM: 偉大な小説『カラマーゾフの兄弟』でドストエフスキーはナイーブで信心深い弟のアリョーシャについてイヴァンにこう言います「もし子供達の苦しみが真実を買うのに必要な代償だと言うのなら先に言っておこう真実なんてそんな代償に値しない
SOLUTION: | W swojej wielkiej powieści "" Bracia Karamazow "" Dostojewski wkłada w usta Iwana te słowa, skierowane do jego naiwnego i pobożnego młodszego brata, Aloszy: "" Jeśli cierpienia dzieci mają się składać na sumę cierpień konieczną do zakupu prawdy, mówię już teraz, że cała prawda nie jest warta takiej ceny.
| 8 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.37782523036003113,
-0.07861931622028351,
-0.030441414564847946,
-0.5117523670196533,
-0.0472472682595253,
0.19088029861450195,
1.0170639753341675,
-0.6695617437362671,
0.10766322910785675,
-0.22974322736263275,
0.13113099336624146,
-0.05401096120476723,
-0.897437334060669,
0.358072340488... |
Definition: 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.
Input: customer: Hi, I am Scott Davis.
agent: Hello, how may I assist you today?
customer: I want to cancel my reservation, can you help me with that?
agent: Sure, we are here to help you.
customer: Thank you.
agent: Please wait for a while.
customer: Sure.
__
customer: Ok, no issues. Thank you.
agent: Thank you for choosing us.
Output: | agent: Sorry we could not find any reservation with your name. | 2 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.08792690932750702,
0.0562046580016613,
-0.22748833894729614,
-0.9148395657539368,
0.6474113464355469,
0.1587214469909668,
1.3187909126281738,
-0.6542020440101624,
0.23019257187843323,
0.16892880201339722,
-0.1307360976934433,
-0.2197471261024475,
-0.7048556804656982,
0.689308762550354,
... |
Given a sentence in Spanish, generate a new Spanish 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.
One example is below.
Q: Es probable que encuentres un planeta en el sistema solar.
A: Es desafortunado encontrar un planeta en el sistema solar.
Rationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about finding a planet in the solar system and the changes in the sentence follows the commonsense knowledge.
Q: Ibas en bicicleta porque querías un poco de aire fresco.
A: | Cargarías una bicicleta porque llevabas un estuche voluminoso. | 9 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
0.022258583456277847,
0.5398069620132446,
-0.32697540521621704,
-0.051404159516096115,
-0.1224595457315445,
-1.165319800376892,
-0.05119042843580246,
1.4002814292907715,
0.08285818994045258,
-0.6175587177276611,
-0.5956071615219116,
0.13335922360420227,
-0.3050037920475006,
0.0303881242871... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Ex Input:
Premise: Crystal Lake is a census-designated place (CDP) in Polk County, Florida, United States. The population was 5,341 at the 2000 census, an increase from 5,300 in 1990. The 2010 Census reported a population of 5,514. It is part of the Lakeland–Winter Haven Metropolitan Statistical Area. <sep> Hypothesis: The population in Crystal Lake was lower in 1990 than in 1983.
Ex Output:
Neutral
Ex Input:
Premise: The Aurora Subdivision or Aurora Sub is a railway line in Wisconsin and Illinois operated by BNSF Railway. It is part of BNSF's Chicago, Illinois, to Seattle, Washington, Northern Transcon. This segment runs about 262 mi from the St. Croix Subdivision in La Crosse, Wisconsin, to the Chicago Subdivision in Aurora, Illinois. <sep> Hypothesis: Aurora Sub is a railway line that runs less than 300 miles from the St. Croix Subdivision
Ex Output:
Entailment
Ex Input:
Premise: Ancud (] ) is a city in southern Chile located in the northernmost part of the island and province of Chiloé, in Los Lagos Region. It is the second largest city of Chiloé Archipelago after Castro. The city was established in 1768 to function as the capital of the archipelago and held that position until 1982. <sep> Hypothesis: Ancud resides in the province of Los Lagos, in the region of Chiloé.
Ex Output:
| Contradiction
| 1 | NIv2 | task1385_anli_r1_entailment | fs_opt | [
0.3522445857524872,
0.2742583155632019,
-0.6089061498641968,
0.018047258257865906,
0.46047380566596985,
-0.711104691028595,
-0.7109189629554749,
0.5510952472686768,
-0.1518940031528473,
-0.041227541863918304,
0.21322786808013916,
-0.04865320771932602,
-0.17664889991283417,
-0.8200982809066... |
instruction:
In this task, you are given a question. You have to answer the question based on your information.
question:
Are both MOD Pizza and Zpizza franchises?
answer:
yes
question:
Radiohead and Oceansize are bands that play which type of music?
answer:
English rock
question:
Pedro Javier Munoz Gonzales played seven seasons in the majors, for an American professional baseball team that was named after the twin cities, which comprise what?
answer:
| Minneapolis and St. Paul
| 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.05623714625835419,
0.6109399199485779,
-0.5821330547332764,
0.09477628022432327,
0.08767400681972504,
-0.14235427975654602,
1.0774383544921875,
-0.10258454084396362,
0.24376262724399567,
-0.3671618103981018,
0.07163585722446442,
-0.33670759201049805,
-0.633705735206604,
-0.8053891658782... |
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.
Q: Title: Falling Asleep. Sentence 1: I was tired from making phone calls one day. Sentence 2: I fell asleep in my car. Sentence 3: I heard a tapping at my window. Sentence 4: My manager wanted something.
A: | Another thirsty hiker drank the water. | 4 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.5981231927871704,
1.1014490127563477,
-0.12595230340957642,
-0.6009001731872559,
-0.29308050870895386,
0.2167104184627533,
0.7494236826896667,
0.43769577145576477,
-0.2861585319042206,
-0.19079318642616272,
-0.6568431854248047,
-0.20520159602165222,
-0.4236171841621399,
0.29438105225563... |
instruction:
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
question:
Ex-chief executive Mike Shearwood also told an employment tribunal he believed board meeting minutes were altered and evidence destroyed. The 56-year-old told the panel he had been sacked after he raised concerns. Clarks refutes this, saying Mr Shearwood was fired due to his conduct at work. On Monday, the panel heard allegations he had made sexist, racist and homophobic comments. Mr Shearwood is claiming unfair dismissal for the way he was forced to quit the family-owned firm last year. Addressing the company's financial position, he said: "My concern is we would be trading insolvent and we should go to the shareholders as they would lose their assets. "I believe we had a duty of care to tell the shareholders who should know the state of the business was dire." Employment judge Derek Reed asked why he had not approached shareholders directly. Mr Shearwood said that in his role he reported to chairman Tom O'Neil, who controlled the board, and he would have been fired for going straight to shareholders. 'Tried to influence him' Judge Reed said: "If you're saying Mr O'Neil was trying to suppress this, and that was the wrong thing, why didn't you do the right thing and tell the shareholders? "Are you saying you were afraid of being sacked?" Mr Shearwood replied: "Yes." He added: "My method of working with him was to try to influence him and make him do the right thing." He told the panel he had not raised any issues at a formal board meeting due to concerns about how Mr O'Neil would react. Mr Shearwood also claimed Mr O'Neil had asked employee Ed Hayes to alter minutes of meetings and destroy evidence. Mr Hayes subsequently resigned. Clarks said this was due to his workload commute and young family. The firm, which has its headquarters in Street, Somerset, said in a statement: "Clarks rejects all allegations raised by Mr Shearwood and we stand by our decision in relation to Mr Shearwood's termination." The hearing continues.
answer:
The former boss of Clarks shoes has alleged the firm's chairman withheld information from shareholders about the true state of the company's finances.
question:
By Imogen FoulkesBBC News, Bern Had they said yes, it would have been the first step towards full membership of the European Union, and by now Switzerland would probably be one of the more longstanding members of the EU. But in a result which surprised many, and which is still the closest ever vote in Switzerland's post-war history, 49.7% of those voting said yes to membership, but 50.3% said no. Switzerland's economy minister at the time, the late Jean-Pascal Delamuraz, called it "Black Sunday", warning of damage to the Swiss jobs market, and a young generation of Swiss who would be "deprived". And 20 years on many Swiss, like political scientist Georg Lutz at the University of Lausanne, still remember the disappointment of that day very clearly. "It was a big surprise, it was one of the first times I was allowed to vote and I voted in favour," he remembers. "And suddenly there was a no, which hardly anybody expected, because we were in the times when it was the end of the Cold War, there was this liberal movement towards Europe. And suddenly it was almost the reverse dynamic." Success in isolation But two decades later the disappointment has eased, and the dire warnings of Mr Delamuraz have not come true. Quite the contrary in fact. Switzerland's economy is doing very well - its unemployment rate, at less than 3%, is the envy of its European neighbours. Christoph Blocher of the right-wing Swiss People's Party (SVP) was the key figure in the No campaign 20 years ago. He appealed to a traditional image of Switzerland, his rallies were determinedly nationalistic, he even often appeared carrying large cow bells. Also, as one of Switzerland's leading businessmen, he spent 2m francs (£1.3m; $2.2m) of his personal fortune on the campaign. Looking at Switzerland today, he is as convinced as ever that his go-it-alone policy is the only right one. "Twenty years ago I heard the same thing all the time: there's no alternative to European Union membership, there's no alternative to those colonial agreements (with Brussels)," he told parliament earlier this year. "But look at the alternatives the Swiss people have voted for, and compare them with the intellectual bankruptcy outside our borders. The alternative is to stay true to Switzerland, to represent our strengths, our financial sector, our jobs, our well-being and our freedom. The alternative is to say no [to agreements with Europe]." Accepting EU policies Analysts of Switzerland's relationship with Europe, however, say it is not quite as simple as that. The Swiss No vote coincided with a downturn in Switzerland's economy - both the public deficit and unemployment were rising. Swiss political and business leaders viewed the prospect of being shut out of the European market with horror, and just weeks after the No vote Swiss diplomats were in Brussels, nervously presenting a request to negotiate bilaterally. They knew that in order to preserve their access to Europe's lucrative trade markets, they would have to sign up to the very policies the Swiss voters had rejected. And since 1992 Switzerland has concluded more than 100 agreements with the EU, among them the key elements of EU policy. "Although Switzerland turned down membership, in the years afterwards all the major issues like free movement of people have been agreed with the EU," says Georg Lutz. "So the situation isn't so different these days, especially with regard to migration." Magnet for EU workers Switzerland's agreement to free movement of people is a particular irony: in 1992 opinion polls showed that one of the key factors in the No vote was a fear of immigration, and of Switzerland being forced to let in too many foreign workers. At that point foreigners in Switzerland made up 20% of the population. Today the figure is 25%, and the increase is due almost entirely to the arrival of EU citizens. Switzerland has in fact seen much higher numbers of EU workers coming in than many of its neighbours who are full members of the EU. So is Switzerland better off outside the EU? "No one will ever know," says Mr Lutz. "Yes the economy is healthy, unemployment is low, but nobody will ever know if Switzerland might have been even more successful if the country had joined the European Union." Unsurprisingly, given the crisis in the eurozone, opinion polls today show the Swiss have little enthusiasm for Brussels: barely 11% say they would consider membership. And now a new era of agonised decision-making may be approaching, because Brussels has told the Swiss government the EU is no longer interested in pursuing bilateral agreements. Instead Brussels wants Switzerland to automatically adopt EU law - a suggestion which is already causing Swiss hackles to rise. Bilateral stalemate Meanwhile various unsigned bilateral agreements, including a crucial one on energy, are gathering dust in Brussels. A deal with Europe is fundamental to the Swiss economy, so the current stalemate is not an option. But when one Swiss politician recently proposed going back to square one, and voting again on joining the European Economic Area, he was ridiculed, with colleagues suggesting he "drink a glass of Swiss wine to clear his head". Any suggestion that Switzerland should officially join Europe is still, it seems, political dynamite, and very few in the political establishment dare touch it. A pity, says Georg Lutz, since, he believes, both sides might have benefited over the last 20 years from a closer relationship. The EU in particular, he suggests, might have learned something from Switzerland's prudence - in particular its legal limits on public debt. "(If Switzerland had been a member) I guess we would have pushed for fiscal conservatism throughout the entire time, because that's the tradition in our country as well. "But whether Switzerland would have succeeded with that, I have some doubts."
answer:
Twenty years ago this week Swiss voters said no, by the tiniest of margins, to membership of what was then the European Economic Area.
question:
By Dave LeeTechnology reporter, BBC News The admission follows sustained pressure from campaign groups, advertisers and the media. An open letter from several feminist groups urged Facebook to ban pages that they said promoted violence. In a blog post, the social network said: "We need to do better - and we will." The company said it would begin rolling out changes immediately after it became "clear that our systems to identify and remove hate speech have failed to work as effectively as we would like". Marne Levine, Facebook's vice president of Global Public Policy, added: "In some cases, content is not being removed as quickly as we want. "In other cases, content that should be removed has not been or has been evaluated using outdated criteria. "We have been working over the past several months to improve our systems to respond to reports of violations, but the guidelines used by these systems have failed to capture all the content that violates our standards." 'Doing better' Facebook has been involved in a number of recent rows over content. At the beginning of May, it reversed a decision not to remove a video which showed a man being beheaded as it did not break the social network's policy. Following this most recent outcry, Ms Levine put forward several changes the social network would be making. She said Facebook would consult lawyers and interest groups to upgrade its guidelines on removing hate speech. Training of staff will be stepped up, again by working with interest groups to ensure coaching is appropriate. Facebook also pledged to work to make sure the posters of such material were made to "stand behind the content they create" so that other users could hold them accountable. Commenting on Ms Levine's blog post, many Facebook users expressed annoyance at the length of time it had taken for the issues to be addressed. "It took incredible public pressure for you to look at it... you should have had the guts and morals to do it on your own!", wrote one user. Nissan boycott Facebook's response comes off the back of a large-scale online campaign from a number of prominent women's rights groups. They included the Everyday Sexism Project, a site that uses social media to highlight what it sees as casual sexism in the media and other arenas. In addition to their letter to the social network, the groups also called on advertisers to boycott the site, noting that their advertising appeared alongside user-created pages showing images of violence towards women that were "shared, boasted and joked about". One petition calling for action closed with 225,049 signatures. The groups called on Facebook to take three specific actions. They were to: According to campaigners Women, Action & the Media, one high-profile advertiser, Nissan, suspended its advertising on Tuesday. On Wednesday, the company told the BBC that following Facebook's assurances, it had begun advertising on the platform again. UK building society Nationwide also took action to remove its promotions: "We welcome the initial commitments made by Facebook yesterday to continue to improve their responses to violations of standards. "As a responsible and trusted consumer brand, we do feel that sites like Facebook should have stringent processes and guidelines in place to ensure that brands are able to protect themselves from appearing alongside inappropriate content." Others brands such as Dove said they were working "aggressively" with Facebook to attempt to solve the problem. Follow Dave Lee on Twitter @DaveLeeBBC
answer:
| Facebook has said it will review how it deals with "controversial, harmful and hateful" content after admitting current measures are not effective.
| 9 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
-0.012279435060918331,
0.5120618939399719,
-0.568770170211792,
0.26986849308013916,
0.6032943725585938,
0.41164788603782654,
0.49901846051216125,
0.6140974760055542,
0.016675733029842377,
0.7999274134635925,
0.492262065410614,
0.8792204260826111,
-0.4506114721298218,
0.30628514289855957,
... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Q: Un bărbat pozează în fața unei fântâni mari cu o statuie deasupra.
A: | A man poses in front of a large fountain with a statue on top. | 4 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.42129749059677124,
0.8935461044311523,
0.0684417262673378,
-0.6773228645324707,
-0.25627508759498596,
-0.6749677062034607,
0.25689947605133057,
0.7738130688667297,
0.8158024549484253,
-0.045684728771448135,
0.3171675205230713,
0.12870164215564728,
-0.6131017804145813,
0.2498330920934677,... |
You are given a statement written in Hindi. 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: आम्बेडकर के जीवन और सोच पर आधारित कई फिल्में, नाटक, किताबें, गाने, टेलीविजन धारावाहिक और अन्य कार्य हैं। जब्बार पटेल ने डॉ॰ बाबासाहेब आम्बेडकर नामक अंग्रेजी फिल्म का वर्ष 2000 में निर्देशन किया था, जिसमें <MASK> मुख्य किरदार निभा रहे थे। इस फिल्म का निर्माण भारत के राष्ट्रीय फिल्म विकास निगम और सरकार के सामाजिक न्याय और अधिकारिता मंत्रालय ने किया था। विवादों के कारण फिल्म के प्रदर्शन में बहुत समय लग गया था।
Option A: मामूट्टी
Option B: रमाबाई
Option C: ज्ञानेश्वर
Option D: तुकाराम
Ex Output:
मामूट्टी
Ex Input:
Statement: खाड़ी सहयोग परिषद (Golf Cooperation Council) यह संगठन फारस की खाड़ी से घिरे देशो का एक क्षेत्रीय समूह है सदस्य देश <MASK>, कुवैत, ओमान, कतर, सऊदी अरब, संयुक्त अरब अमीरात है इसका मुख्यालय सऊदी अरब रियाद स्थित मेँ है तथा अधिकारिक भाषा अरबी है।
Option A: ईरान
Option B: मोरक्को
Option C: इराक
Option D: बहरीन
Ex Output:
बहरीन
Ex Input:
Statement: 108 रेखांश पश्चिम (108th meridian west) <MASK> की प्रधान मध्याह्न रेखा से पश्चिम में 108 रेखांश पर स्थित उत्तरी ध्रुव से दक्षिणी ध्रुव तक चलने वाली रेखांश है। यह काल्पनिक रेखा आर्कटिक महासागर, उत्तर अमेरिका, प्रशांत महासागर, दक्षिणी महासागर और अंटार्कटिका से गुज़रती है। यह 72 रेखांश पूर्व से मिलकर एक महावृत्त बनाती है।
Option A: पृथ्वी
Option B: रेखांश
Option C: अंटार्कटिका
Option D: सरावान
Ex Output:
| पृथ्वी
| 1 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.7545719146728516,
0.3001357913017273,
-0.37797239422798157,
0.3018689751625061,
0.30503103137016296,
-0.0893983542919159,
0.48521479964256287,
0.353642076253891,
-0.41330355405807495,
0.1542418897151947,
-0.5431288480758667,
0.40164080262184143,
-0.12441075593233109,
-0.03050217777490616... |
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 four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: He is happy now.
Solution: 4, The incident caused him to turn a new leaf.
Why? As mentioned in fourth sentence, he is happy now; so, the incident turned a new leaf to Rick's life.
New input: Sentence1: It was already very late and she had to get to bed. Sentence2: The next morning school was concealed due to snow. Sentence3: Lucy lucked out and spent her whole day off studying for the test. Sentence4: Lucy aced the test.
Solution: | 1, Lucy had a test tomorrow at school and she barely studied. | 0 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.41588109731674194,
0.5671648979187012,
-0.037851423025131226,
-0.14303064346313477,
0.532866358757019,
-0.44043394923210144,
0.48897242546081543,
1.0238233804702759,
-0.23481398820877075,
0.09153822064399719,
-0.3617156445980072,
-0.6389293670654297,
-0.14053544402122498,
0.206545993685... |
Detailed Instructions: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: How do I renounce my US citizenship?, Question2: Can I renounce my US citizenship?
A: | No | 9 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.223172128200531,
0.3791634738445282,
0.564289927482605,
0.7649964094161987,
-0.5315240621566772,
-0.8628180027008057,
0.5044006109237671,
0.20481804013252258,
0.5609756708145142,
0.14882086217403412,
0.13220082223415375,
-0.1977573037147522,
-0.11504590511322021,
-0.17154881358146667,
... |
Part 1. Definition
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, but some important information differs/missing.
4 : The two sentences are mostly equivalent, but some unimportant details differ.
5 : The two sentences are completely equivalent, as they mean the same thing.
Part 2. Example
Sentence 1: A plane is taking off. Sentence 2: An air plane is taking off.
Answer: 5
Explanation: Here both statements are talking about the same thing hence it will be classified as a 5.
Part 3. Exercise
Sentence 1: Cyclopes don't exist - fine. Sentence 2: Goblins don't exist - fine.
Answer: | 2 | 7 | NIv2 | task1347_glue_sts-b_similarity_classification | fs_opt | [
-0.38668400049209595,
0.04428151994943619,
0.056033939123153687,
-0.1636955291032791,
0.2836504280567169,
-0.5081901550292969,
0.6426696181297302,
0.7376778721809387,
0.4447200894355774,
-0.2936978340148926,
-0.9328033924102783,
-0.36425286531448364,
-0.8649156093597412,
-0.307878047227859... |
Teacher:In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
Teacher: Now, understand the problem? Solve this instance: a player baseball holding a bat in a batters box
Student: | (2, 3) | 6 | NIv2 | task089_swap_words_verification | zs_opt | [
0.05900929123163223,
0.7861357927322388,
-0.623146653175354,
-0.3491026759147644,
0.3806895911693573,
-0.918493926525116,
0.3157261312007904,
0.5597923994064331,
0.4051118493080139,
-0.4319498836994171,
-0.14705079793930054,
0.27758753299713135,
-0.43226343393325806,
-0.3651812672615051,
... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
One example: [47, 444, 859, 530, 197, 409]
Solution is here: [47, 859, 197, 409]
Explanation: The integers '444' and '530' are not prime integers and they were removed from the list.
Now, solve this: [322, 149, 401, 314, 827, 919, 493, 976, 108, 962, 439, 351, 499, 151, 297]
Solution: | [149, 401, 827, 919, 439, 499, 151] | 6 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.5353587865829468,
0.19821220636367798,
-0.3589974641799927,
-0.4332672953605652,
0.1303035467863083,
-0.3547767400741577,
1.0702989101409912,
0.6042635440826416,
-0.21007408201694489,
0.5293225049972534,
-1.1593631505966187,
-0.5119599103927612,
-0.22142791748046875,
-0.2950690984725952... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: Na tym filmie mój syn po raz kolejny pozostawia za sobą ślad.
A: | In this video, again, my son is being traced out. | 4 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.6866501569747925,
0.762987494468689,
-0.19282764196395874,
-0.6465786099433899,
-0.25128981471061707,
-0.20192977786064148,
0.9529106020927429,
-0.011703617870807648,
-0.07291577756404877,
-0.7494232654571533,
1.094927430152893,
1.160631537437439,
-0.9788997769355774,
0.4142707586288452... |
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 sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specified by the category. If the category is specified as entailment, then the output sentence must clearly agree with the input sentence. If the category specified is contradiction , then the output sentence must clearly disagree with the input sentence.
sentence_A: A young girl is enjoying the green grassy trail . category: entailment
Solution: A young girl is happily having fun on the green grassy hike
Why? The words happy and enjoying both mean the same, so they are entailed to each other.
New input: sentence_A: An egg is being cracked into a bowl by a woman. category: entailment
Solution: | A woman is cracking an egg into a bowl | 0 | NIv2 | task1613_sick_given_category_generate_sentence | fs_opt | [
-0.3049502670764923,
0.4256592094898224,
0.03754393756389618,
-0.5185309648513794,
0.06803984194993973,
-0.07396288216114044,
0.20715945959091187,
0.5203301906585693,
0.08990763127803802,
-0.4966766834259033,
-0.4003654718399048,
-0.5003337860107422,
0.18663591146469116,
0.2725624442100525... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
--------
Question: The March of the Toreadors comes from an Opera by which composer?
Answer: bizet
Question: Which US singer was born Alecia Moore in 1979, her hits include 'Get the Party Started', 'Family Portrait', 'Stupid Girls' and 'Who Knew'?
Answer: pink
Question: Which American poet wrote the collection 'Leaves of Grass'?
Answer: | walt whitman
| 7 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.12510524690151215,
0.8742721080780029,
-0.5214410424232483,
0.8122469186782837,
-0.31627485156059265,
-0.13400374352931976,
0.2181505411863327,
-0.3516772985458374,
-0.39599281549453735,
0.1200573593378067,
-0.37233662605285645,
0.33087992668151855,
0.09606008231639862,
0.491301357746124... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Q: My parents certainly never had political discussions with me and Sebastian was... he is a good older brother.
A: | Plural | 9 | NIv2 | task431_senteval_object_count | zs_opt | [
-0.8544843792915344,
0.574817419052124,
0.1526648998260498,
-0.22957655787467957,
-0.4786223769187927,
-0.6248092651367188,
1.0985262393951416,
0.2520073354244232,
0.21035797894001007,
-0.37135767936706543,
0.10303150117397308,
0.21859918534755707,
-0.37036189436912537,
-0.5039024353027344... |
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.
Q: Sentence1: I opened the door to search for the mail. Sentence2: The paperboy was riding his bike across my street. Sentence3: He decided to look at me. Sentence4: At the same time, he threw a newspaper on the ground.
A: | I thanked him afterwards. | 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.06133408099412918,
1.2192761898040771,
0.1404978334903717,
-0.742808997631073,
0.5888891220092773,
-0.06096286326646805,
0.1779024749994278,
0.03162083029747009,
0.6178473234176636,
-0.02789253555238247,
-0.9362223744392395,
0.25591182708740234,
-0.013642852194607258,
-0.492365211248397... |
Definition: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Title: The Headache. Sentence 1: Kelli had a bad headache. Sentence 2: She had tried taking aspirin. Sentence 3: The aspirin didn't work. Sentence 4: Kelli went home and took a nap.
Output: | The headache finally subsided. | 2 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.06566842645406723,
0.8944005966186523,
0.1857708990573883,
-0.46224334836006165,
-0.49704498052597046,
0.3872829079627991,
1.0745720863342285,
0.2495516538619995,
0.43467313051223755,
-0.6135523915290833,
-0.6868381500244141,
-0.2946532368659973,
-0.06309543550014496,
0.8736605644226074... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Example: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example solution: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example explanation: The Galician sentence is correctly translated into Polish, because the meaning is preserved.
Problem: É curioso, o modesto cerebro nunca pensou no seu valor único nas pescudas, se cadra, poder curar outra persoa do que non están moi certos se o teño eu.
| Solution: Dziwne, że skromny mózg nie dostrzegał swojej wartości dla nauki, ratując może kogoś przed tym, co może właśnie mam. | 5 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.6964130401611328,
0.9254140853881836,
-0.4291914403438568,
-0.9531116485595703,
-0.29829198122024536,
-1.3087385892868042,
1.2650206089019775,
-0.19574275612831116,
-0.3007197082042694,
-0.5655894875526428,
-0.46604037284851074,
0.6989766359329224,
-0.0803036093711853,
0.311459988355636... |
Detailed Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Q: Tagalog sentence: Mahigit sa 84 Filipino Tzu Chi volunteers ang nagtulungan para sa paglilinis at recycling activities.
A: | At least 84 Filipino Tzu Chi volunteers pooled their efforts to conduct cleanup and recycling activities throughout the race. | 9 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.48625385761260986,
0.4606599807739258,
-0.0640093982219696,
-0.8050735592842102,
0.10233066976070404,
-1.1177003383636475,
0.37072908878326416,
0.30328619480133057,
-0.009098849259316921,
-0.34511473774909973,
-0.5371403694152832,
0.26215362548828125,
-0.2650456428527832,
0.149221181869... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Q: Comment: Why would the taxpayer be required to preserve a modest home in a thinly-populated area in case someone wanted to see where some people lived half a century ago? The very idea is absurd.
A: | Non-identity-attack | 4 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.6790070533752441,
0.5233634114265442,
0.6350564956665039,
0.6771001815795898,
0.1665380448102951,
-0.2917785942554474,
0.8554365038871765,
0.1780877411365509,
0.1242811381816864,
0.4271050989627838,
0.06276233494281769,
-0.058143723756074905,
-0.8131304383277893,
-0.9666222333908081,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
[EX Q]: これらの条線の正体は液体の水であると
[EX A]: Anunciamos ao mundo que descubrimos que eran esas liñas.
[EX Q]: 資金獲得の競争があるのは分りますが研究の面でもそうなのですか ？
[EX A]: Sei que é competición polos fondos, pero que pasa coa ciencia?
[EX Q]: （ 拍手 ） ありがとうありがとうございました
[EX A]: | (Aplausos) Grazas. Moitísimas grazas. Grazas.
| 6 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.9066387414932251,
0.5362092852592468,
-0.11250291764736176,
-0.7834305167198181,
-0.1418018639087677,
-1.3859599828720093,
-0.1437450796365738,
0.7126001715660095,
-0.04284659028053284,
-0.5891395807266235,
-0.6204504370689392,
0.22770264744758606,
-0.7275864481925964,
0.164567008614540... |
Teacher: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Teacher: Now, understand the problem? If you are still confused, see the following example:
A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home.
When Kang, a junior studying computer science at the University of Michigan, heard that the refugee pictured and his family were relocating to his hometown of Troy, Mich., he said he knew he had to help.
“I was really inspired by how intelligent he was and I knew a lot of people wanted to welcome him, so I thought, why not it be me?” he said.
On the Humans of New York Facebook page with over 16 million likes — including comments from President Obama — the seven-part picture series’ captions detail one Syrian scientist and his family’s tale of loss after a missile strike destroyed their home, forcing them to to flee to Turkey, now with plans of coming to the United States.
“Everything ended for us that day. That was our destiny. That was our share in life,” the scientist said. Battling stomach cancer, the loss of a home, career and seven family members, the man, whose name remains confidential to protect his identity as a refugee, expressed his hope for a new life in the United States.
“I learned today that I’m going to Troy, Michigan,” he said. “I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science. I just want to get back to work. I want to be a person again. I don’t want the world to think I’m over. I’m still here.”
Knowing that refugees come to the United States with little more than they can carry, Kang quickly organized a crowdfunding campaign to help establish the man in his new home.
In four days, the GoFundMe page has raised over $16K in donations from over 700 people. On Saturday afternoon, actor Edward Norton also began a fundraiser for the scientist, raising even more for the refugee who says he “just wants to be a person again.”
“The response has been overwhelmingly positive,” said Kang. “A lot of people thanked me for doing a nice thing but I really feel like I was doing what anyone else would have done.”
Kang said he’s received many messages from people expressing their gratitude, those who want to reach out to the man personally, as well local companies interested in working with the scientist. This includes invitations to lecture at local colleges, research job opportunities and potential help from local medical facilities in treating the man’s stomach cancer.
“There’s definitely a lot of interest in helping him out,” he said.
The biggest concern, said Kang, are those skeptical of how the money will reach the man.
Kang, who has successfully crowdfunded in the past, is working closely with GoFundMe, the local refugee relocation agency Lutheran Social Services of Michigan, and is in communication with the Humans of New York staff to make sure all funding goes to the scientist.
In the end, Kang said he just hopes the scientist receives the welcome he deserves.
“If I could talk to him right now, I’d just tell him how sorry I am for everything he’s been through and that he’s coming to a great place. One of the things he said that resonated with me the most is that ‘I hope Troy is a place that appreciates science.’
I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist and we can’t wait to have him.”
Oona Goodin-Smith is a student at Oakland University and a member of the USA TODAY College contributor network. ||||| I saw this story on one of my favorite sites, Humans of New York, and it moved me to tears. This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world. If we don’t welcome people like this into our communities and empower his dream of making an impact with his life, then we’re not the country we tell ourselves we are. Let’s reject the 'anti-human’ voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let’s show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
Everything we raise here will go to help this family so that the father can get the medical treatment he needs to live and pursue his work, and his family can build a new stable life after their tragedy, and…as the Scientist beautifully expresses…to support his dream of contributing to the world.
Thanks to Humans of New York for sharing these stories. Thanks to the team at CrowdRise for putting this together and figuring out how to get even the credit card transaction fees covered so we can get the maximum to the family.
Thanks to everyone who rallies together to create the power of the crowd. If enough of us kick in the price of two frappucinos, we can probably transform the experience of this family and show them that life can deliver healing and kindness, not just heartbreak.
Thanks to Benevolent, all donations are tax-deductible. We will work with Benevolent to use all donated funds to help this family and will seek to use any excess or unused funds to help the other 11 profiled in the HONY ‘Syrian American’ series.
Edward Norton ||||| DETROIT, MI -- Moved to tears by a Humans of New York feature on a Syrian refugee fleeing to Metro Detroit, Hollywood actor Edward Norton launched an online fundraiser that had raised nearly $450,000 for the widower and his four children as of Thursday afternoon.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," the man told NBC News after hearing about the fundraiser's success. "There are people outside who need that money much more than me."
The man asked NBC to refer to him as "Abu Ammar," a fake named used to protect his relatives who remain in Syria. He's known to many on the Internet simply as "The Scientist," which is also his profession.
The refugee's family was scheduled to arrive in Troy, a Detroit suburb, Thursday. He and four surviving children spent the last two years in Instanbul, Turkey. They fled civil-war-torn Syria after the man's wife and one of his daughters were killed in a missile attack on April 6, 2013.
His is one of 12 families featured by Humans of New York and cleared to resettle in the U.S.
"I learned today that I'm going to Troy, Michigan," the man told Humans of New York. "I know nothing about it. I just hope that it's safe and that it's a place where they respect science. I just want to get back to work. I want to be a person again. I don't want the world to think I'm over. I'm still here."
The story made rounds throughout the Internet and even garnered a response from President Barack Obama's official Facebook page:
As a husband and a father, I cannot even begin to imagine the loss you've endured. You and your family are an inspiration. I know that the great people of Michigan will embrace you with the compassion and support you deserve. Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here. Welcome to your new home. You're part of what makes America great.
,Norton, known for his roles in movies like "Fight Club" and "Birdman," wrote in the description of his online fundraiser:
If we don't welcome people like this into our communities and empower his dream of making an impact with his life, then we're not the country we tell ourselves we are. Let's reject the 'anti-human' voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let's show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
(6/7) “I had no problems before the bombing. I think the cancer came from my sadness and my stress. It’s in my... Posted by Humans of New York on Tuesday, December 8, 2015 ||||| ISTANBUL — The grieving refugee who touched hearts as "The Scientist" on the Humans of New York blog only mustered a brief smile when told that a Hollywood star had helped raise $450,000 for him.
Hours before flying to Michigan to start a new life in the U.S. on Thursday, the cancer-stricken Syrian civil engineer glanced down.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," he said after NBC News revealed the crowdfunding appeal. Oscar-nominated actor Edward Norton was moved to tears after reading the refugee's biography on the photography site last week and launched the fundraiser.
"There are people outside who need that money much more than me," The Scientist said, displaying the sort of compassion and humility that helped his story go viral.
The Scientist, who asked NBC News to refer to him as "Abu Ammar" to protect family in Syria, said his life was shattered by a bomb that killed his wife and daughter just under three years ago.
He was later diagnosed with stomach cancer, and has had to care for five remaining children.
They include a teenage son, who is still reeling after watching his mother die, and a daughter who carries inside of her shrapnel from the attack on April 6, 2013.
"When a bomb drops you don't know where it comes from," he said. "There is no question our lives changed after that ... 180 degrees. I am mentally tired, in overwhelming sadness."
“ As long as there are good people in the world … then we can stop this bloodshed”
On Thursday, Abu Ammar and four of his children flew to Troy, Michigan, as part of a United Nations refugee resettlement program.
For about two years, the family had been living close to destitution in Turkey. But the drive to succeed still lingers, Abu Ammar said.
"I've had ambitions since I was a child, and right now I'm still that same child with the same ambitions," he said. "But I still have a message — sometimes when I'm talking to myself I say, 'No, I'm not supposed to die. I need to live long enough to realize my message to humanity.'"
Abu Ammar's story on Humans of New York, a popular blog started in 2010 that spawned a bestselling book, prompted an outpouring of compassion. Even President Barack Obama contributed, calling Abu Ammar and his family an "inspirations" on HONY's Facebook page.
"Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here." Obama wrote. "Welcome to your new home. You're part of what makes America great."
Last night President @BarackObama wrote a very sweet welcome note to the scientist in Tuesday's story. pic.twitter.com/ZGrn3gOdR7 — Brandon Stanton (@humansofny) December 10, 2015
Norton, who starred in "Birdman," "Fight Club" and "American History X," set out to help pay The Scientist's medical expenses.
"This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world," Norton wrote.
The resettlement of Syrian and Muslim refugees in the United States is controversial, especially in the aftermath of attacks by Islamic extremists in Paris and San Bernardino. Some politicians — notably GOP presidential hopeful Donald Trump — have called for a ban on Muslims entering the country.
Abu Ammar told NBC News he didn't know anything about the debate over Muslims and immigration raging in the U.S. He also didn't have a solution to the war raging in his home country.
"I don't like to get into politics because I am a man of science, and I can separate science and politics completely," he said. "But as long as there are good people in the world, and everyone looks into his or her conscience, then we can stop this bloodshed."
Abu Ammar added: "No one benefits from people dying, and wars overall never benefit anybody — so let's hope God can help everyone and put out this fire." |||||
Solution: A Syrian refugee whose moving story went viral earlier this month starts his new life in Troy, Michigan, on Thursday, NBC News reports. The refugee—who wants to keep his real name out of the media to protect family members still in Syria—is known as "The Scientist" on the blog Humans of New York, where he was first profiled. "I learned today that I’m going to Troy, Michigan," The Scientist told HONY. "I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science." According to MLive, The Scientist left Syria in 2013 after a bomb killed his wife and one of his daughters. Since then, he's been diagnosed with stomach cancer and was barely scraping by in Turkey. Despite being "in overwhelming sadness," he and his surviving children are hoping for a new start in the US, he tells NBC. Thanks to his story—which even got the attention of President Obama—The Scientist will have some help to get that new start. NBC reports actor Edward Norton was moved to tears after reading The Scientist's story and started a crowdfunding page that has raised nearly $450,000. "I didn't hear about it, but I want to thank him very much from the humanity perspective," The Scientist says. "There are people outside who need that money much more than me." A Michigan college student was also inspired to help after hearing The Scientist would be moving to his hometown, according to USA Today. His fundraising page has raised more than $16,000. "I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist, and we can’t wait to have him," Daniel Kang says.
Reason: This is a good example. The output correctly summarizes the articles.
Now, solve this instance: Vitantonio Capotorto sent a video to his wife saying he was "going somewhere wonderful" before he jumped from a Skydive DeLand airplane 13,500 feet above the city.
Before he had leaped from the plane, his wife, Costanza Zitellini, had run into Skydive DeLand trying to stop him. Moments before, she received a video form her husband and in it he told her he was not going to pull the cord to open his parachute and that "he was going somewhere wonderful," according to a police report.
Capotorto, an Italian national, was found dead about 10:25 a.m. Tuesday, face down in a field southeast of the runways at the airport. He was 27 and lived in DeLand with his wife. They both worked in the parachute industry.
Tara Richards, an employee at Skydive DeLand, told police that Capotorto arrived for the first load of the day and seemed normal, according to a written statement. His wife arrived sometime after takeoff telling Skydive DeLand employees not to let her husband jump. But Capotorto had already left the aircraft, Richards said.
Capotorto, who had made 600 jumps, and his wife both worked at United Parachute Technologies, a DeLand company at 1645 Lexington Ave., which makes containers for parachutes, according to Rosie Sigmund, customer service manager who declined further comment.
Capotorto's wife declined comment when reached at home Friday morning.
City of DeLand spokesman Chris Graham said DeLand police could not recall any prior investigations involving a suicide by a sky diver.
But it’s not unheard of nationally. In a 2011 news report, a 60-year-old sky diver unbuckled his parachute in the sky north of Albany, New York, and plunged 8,000 feet to his death.
This weeks was the fifth reported fatality since May 2013 at Skydive DeLand, which is considered one of the busiest jump spots in the nation.
Mike Johnston, a general manager at the facility told The News-Journal earlier this week that Capotorto’s wife had arrived “moments too late.”
“We give our (customers) a safe ride to altitude and we transport them using aircraft that has been considered the best maintained in the industry,” Johnston said. “When a person steps out the door, they are responsible for themselves.”
— Staff Writer Katie Kustura contributed to this report. ||||| The wife of a veteran skydiver raced to the field where her husband was planning to jump after he sent her a video saying that he was not going to pull the ripcord on his parachute – but she was arrived just moments too late.
Vitantonio Capotorto, 27, never deployed his parachute after jumping from 13,500 feet above DeLand, Florida, on Tuesday’s first flight of the day — according to a police report obtained by the Orlando Sentinel. He was found facedown in a field near Skydive DeLand, one of the busiest skydiving hubs in the country.
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Before Capotorto’s fatal jump, his wife Costanza Zitellini, 25, ran into the hangar and told employees not to let her husband go up in a plane, according to the report.
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Zitellini said she received a video message from Capotorto telling her that he was “not going to pull the cord and that he was going somewhere wonderful.”
A Skydive DeLand employee told police that the plane had already taken off, but she immediately radioed the plane and told the crew not to let Capotorto jump. It was too late.
RELATED VIDEO: Skydiver Makes History by Falling 25,000 Feet into a Net Without a Parachute
Mike Johnston, the general manager, told The News-Journal that Zitellini’s message came just “moments” after he jumped.
Capotorto, an Italian national, and his wife worked for United Parachute Technologies – a parachute maker in DeLand.
This is the fourth death in five years at Skydive DeLand, WKMG-TV reported. ||||| Experienced sky diver Vitantonio Capotorto jumped from a plane Tuesday morning about 10 a.m., just seconds before the crew received an urgent message from dispatchers on the ground, urging them to stop him.
But it was too late.
DeLand Police said Capotorto jumped and did not pull the cord to open his parachute, according to a revised police report released Friday.
On Tuesday, Costansa Litellini, 25, ran into the Skydive Deland building on Flightline Boulevard, begging employee Tara Richards to stop her husband from sky diving.
Litellini had just received a video from him, saying he was “not going to pull the cord and that he was going somewhere wonderful,” police said.
Richards immediately radioed the plane, according to a police report, but Capotorto, 27, had already jumped.
Richards told police she had seen Capotorto before the flight and “he had seemed normal.”
She could not be reached for comment Friday.
Police were called to Skydive Deland on Tuesday in reference to an injured sky diver.
Officials began to search for Capotorto from the sky and the ground.
They eventually found him face down in an open field near the runway.
A chaplain was called to the scene to let Litellini know that her husband had died.
The United States Parachute Association, of which Skydive Deland is a member, reported 21 fatalities related to skydiving in 2016 out of 3.2 million estimated jumps by its members.
jareddick@orlandosentinel.com, 407-420-5268
This report has been updated to correct the name of the victim. It was transposed because of public records error.
Man dies at Skydive DeLand » ||||| DeLAND, Fla. - A skydiver found dead at Skydive DeLand earlier this week jumped to his death after informing his wife through a video that he was going "somewhere wonderful," according to a police report.
The man was identified by police as Vitantonio Capotorto, 27.
DeLand police said an officer was called to Skydive DeLand and was told that Capotorto, an experienced skydiver, jumped from a plane and did not deploy his parachute.
A Skydive DeLand employee told the officer that Capotorto's wife ran in to the business and tried to halt her husband's jump because he had left her a "disturbing" video saying that he was not going to pull the cord of the parachute, officials said.
The worker radioed the pilot, but Capotorto had already jumped, police said.
The worker said Capotorto seemed normal before the flight, according to the police report.
Capotorto's body was found in an open field near DeLand Municipal Airport, police said.
Skydive Deland has had five fatalities in the past four years.
Skydive DeLand is one of the nation's busiest skydiving facilities and attracts jumpers of all skill levels.
Watch News 6 and stay with ClickOrlando.com for more on this story.
Copyright 2017 by WKMG ClickOrlando - All rights reserved. |||||
Student: | Costansa Litellini ran into Florida's Skydive DeLand on Tuesday begging them not to let her husband go up in a plane, the Orlando Sentinel reports. But the plane, with 27-year-old Capotorto Vitantonio inside, had already taken off. Vitantonio's body was found face down in a field a short time later. According to WKMG, officials say Vitantonio sent a "disturbing" video to Litellini before his jump. Police say in the video Vitantonio told his wife he was “not going to pull the cord and that he was going somewhere wonderful." A Skydive DeLand employee had radioed the plane after Litellini's intervention, but general manager Mike Johnston tells the Daytona Beach News-Journal the message was received "moments too late." Vitantonio was an experienced skydiver with around 600 jumps, and both he and Litellini worked for a parachute manufacturer in DeLand, People reports. It's unclear why he didn't deploy his parachute Tuesday after jumping from an altitude of 13,500 feet. A Skydive DeLand employee who saw Vitantonio before his jump says he "seemed normal." Vitantonio's was the fifth reported death at Skydive DeLand since May 2013. Johnston says there's only so much the business can do to keep skydivers safe after they leave the plane. “When a person steps out the door, they are responsible for themselves," he tells the News-Journal. | 2 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.7664126753807068,
0.16347819566726685,
-0.0753336176276207,
-0.2408653348684311,
0.8296281099319458,
-0.2804773449897766,
1.1500074863433838,
0.807171642780304,
-0.38805004954338074,
0.6091263294219971,
0.14032584428787231,
0.34284549951553345,
-0.22647513449192047,
0.42262783646583557,
... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head 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.
Input: Head: PersonX takes clothes back to the store<sep>Tail: PersonX accidentally rips new clothes
Output: | Yes | 3 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.16400742530822754,
0.39327511191368103,
0.20193056762218475,
0.22900526225566864,
-0.618091344833374,
-0.5758227109909058,
1.0847629308700562,
0.49456655979156494,
-0.4824866056442261,
-0.38090595602989197,
-0.5038211345672607,
-0.39687657356262207,
-0.7538435459136963,
0.338376045227050... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
I am feeling hungry so I would like to find a place to eat.
Solution: No
Why? The user is informing the intent, but not asking any question here
New input: No that's all for now
Solution: | No | 0 | NIv2 | task879_schema_guided_dstc8_classification | fs_opt | [
-0.5101654529571533,
0.18737655878067017,
0.4909358620643616,
0.09658607840538025,
-0.44332748651504517,
-0.24659579992294312,
0.9054573774337769,
0.6963461637496948,
0.5318999290466309,
0.08979836106300354,
0.6649143695831299,
-0.7750663161277771,
-0.2691787779331207,
-0.19866041839122772... |
You will be given a definition of a task first, then some input of the task.
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Sentence: xname is a Japanese restaurant that is a little expensive. It does not have good customer ratings. ; Categories: rating, price, cuisine
Output: | rating[low], price[more than £30], cuisine[Japanese] | 1 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.7456886172294617,
0.3906984329223633,
-0.13350039720535278,
-0.06492918729782104,
0.0971154272556305,
0.2094619870185852,
0.8499525785446167,
0.6643878221511841,
0.2650390863418579,
-0.28906679153442383,
0.4901779592037201,
-0.6390430927276611,
-0.17414157092571259,
0.12833237648010254,... |
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: それは1984年以来アメリカで起こった最も悲惨な鉱山事故である。
A: | Itu tetap menjadi berita utama kecelakaan tambang di Amerika Serikat sejak 1984. | 9 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.48417699337005615,
0.6453352570533752,
-0.09887389838695526,
-0.7600288987159729,
-0.16019779443740845,
-0.9960420727729797,
0.18731188774108887,
0.2856070101261139,
-0.18967905640602112,
-0.08766847848892212,
-0.6917177438735962,
0.29121676087379456,
-0.25680187344551086,
0.089563481509... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
question:
ترون في الهند ، ترون في البرازيل.
answer:
Vedete l'India, vedete il Brasile.
question:
فعندما يُقال لنا ان العمل في المصارف هو مهنة محترمة جدا فجميعنا سوف ينساق الى الرغبة بالعمل في المصارف
answer:
Ci viene detto che quella del bancario è una professione molto rispettabile e molti di noi vorrebbero lavorare nel bancario.
question:
اسف, لقد اسقطت —
answer:
| Oh scusate, mi è caduta —
| 9 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.5408150553703308,
-0.1406610608100891,
-0.1417234241962433,
0.018581582233309746,
-0.26817458868026733,
0.08055371046066284,
0.4498000741004944,
-0.033110350370407104,
-0.08744466304779053,
-0.33303946256637573,
-0.6248348951339722,
-0.17713060975074768,
-0.007224423345178366,
0.6691228... |
Teacher:In medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about the participants of the study. You should list the phrases in the same order that they appear in the text, separated by commas. If no information about the participants is mentioned, just output "not found". Relevant information about participants include: gender, medical conditions, location, number of people participating. Do not contain participant mentions without relevant information.
Teacher: Now, understand the problem? Solve this instance: Short-term phasic activity was only found in 13 out of 40 of the normal infants ( 32.5 % ) .
Student: | 40 of the normal infants | 6 | NIv2 | task179_participant_extraction | zs_opt | [
-0.49898844957351685,
0.1618373841047287,
-0.511913001537323,
-1.1065640449523926,
-0.29970288276672363,
-0.07660718262195587,
0.7955855131149292,
0.6984763145446777,
0.060506802052259445,
0.44326087832450867,
-0.21995462477207184,
0.474689781665802,
-0.6042177677154541,
-0.166799098253250... |
Teacher: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? If you are still confused, see the following example:
I declare resumed the session of the European Parliament adjourned on Friday 17 December 1999, and I would like once again to wish you a happy new year in the hope that you enjoyed a pleasant festive period.
Solution: Declaro reanudado el período de sesiones del Parlamento Europeo, interrumpido el viernes 17 de diciembre pasado, y reitero a Sus Señorías mi deseo de que hayan tenido unas buenas vacaciones.
Reason: This English sentence is properly translated into Spanish because the Spanish sentence also talks about resuming the session from the European parliament which was adjourned and wishing a happy new year.
Now, solve this instance: We needed a Greek Member to finally tell us what this Tobin tax means.
Student: | Necesitamos un colega griego que nos diga por fin de qué se trata este Tobin tax. | 2 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.5202604532241821,
0.4829477071762085,
-0.39365237951278687,
0.017397549003362656,
0.13940978050231934,
-0.42790675163269043,
0.9391456842422485,
0.22589103877544403,
0.08919782936573029,
-0.14338010549545288,
0.41724011301994324,
1.2889353036880493,
-0.8415887355804443,
-0.2194962650537... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
[EX Q]: Fact: the amount of precipitation depends on condensation.
Question: What does precipitation depend on?
Correct Answer: condensation.
[EX A]: magnetism.
[EX Q]: Fact: influenza orthomyxoviruses are usually considered to be nonliving.
Question: What are usually considered to be nonliving?
Correct Answer: influenza orthomyxoviruses.
[EX A]: bacteria.
[EX Q]: Fact: absorbing sunlight causes objects to heat.
Question: What causes an object to heat?
Correct Answer: absorbing sunlight.
[EX A]: | absorbing ions.
| 6 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.15168148279190063,
0.7751484513282776,
-0.2248220145702362,
0.3968967795372009,
-0.3711506128311157,
-2.112795352935791,
0.5732746124267578,
0.5893588066101074,
-0.0884687602519989,
-0.47076237201690674,
-1.182401418685913,
-0.28467363119125366,
-0.6590315103530884,
0.5506215691566467,
... |
Given the task definition and input, reply with output. In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
The serological response profile of severe acute respiratory syndrome (SARS) coronavirus (CoV) infection was defined by neutralization tests and subclass-specific immunofluorescent (IF) tests using serial sera from 20 patients. SARS CoV total immunoglobulin (Ig) (IgG, IgA, and IgM [IgGAM]) was the first antibody to be detectable. There was no difference in time to seroconversion between the patients who survived (n ؍ 14) and those who died (n ؍ 6). Although SARS CoV IgM was still detectable by IF tests with 8 of 11 patients at 7 months postinfection, the geometric mean titers dropped from 282 at 1 month postinfection to 19 at 7 months (P ؍ 0.001). In contrast, neutralizing antibody and SARS CoV IgGAM and IgG antibody titers remained stable over this period. The SARS CoV antibody response was sometimes associated with an increase in preexisting IF IgG antibody titers for human coronaviruses OC43, 229E, and NL63. There was no change in IF IgG titer for virus capsid antigen from the herpesvirus that was used as an unrelated control, Epstein-Barr virus. In contrast, patients who had OC43 infections, and probably also 229E infections, without prior exposure to SARS CoV had increases of antibodies specific for the infecting virus but not for SARS CoV. There is a need for awareness of cross-reactive antibody responses between coronaviruses when interpreting IF serology.
| Serological Responses in Patients with Severe Acute Respiratory Syndrome Coronavirus Infection and Cross-Reactivity with Human Coronaviruses 229E, OC43, and NL63 | 5 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.054406605660915375,
0.16004937887191772,
-0.10551773011684418,
-0.1719687581062317,
0.1167372390627861,
-0.9722622632980347,
0.39047110080718994,
0.4050300419330597,
0.3368099331855774,
0.49586403369903564,
-0.7300660014152527,
0.7269678115844727,
-0.7038789987564087,
-0.001896813861094... |
Detailed Instructions: You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Problem:Statement: മദ്ധ്യകേരളത്തിലെ ജില്ലകളായ <MASK>, പാലക്കാട്, മലപ്പുറം എന്നിവടങ്ങളിലൽ കാണുന്ന തീയാടി നമ്പ്യാർ വിഭാഗത്തിൽപ്പെട്ട അമ്പലവാസികൾ നടത്തുന്ന ക്ഷേത്ര കലാരൂപമാണ് അയ്യപ്പൻ തീയാട്ട് ഇതിഹാസ കഥയായ വിഷ്ണു ദേവൻറെ അവതാരമായ മോഹിനിയും ശിവനും തമ്മിലുള്ള ബന്ധത്തിലൂടെ ഉണ്ടായ അയ്യപ്പൻറെ ജനനത്തെ ആസ്പദമാക്കിയാണ് പുരുഷ കേന്ദ്രീകൃതമായ ഈ കലാരൂപം നടക്കുന്നത്.
Option A: കോട്ടയം
Option B: പാലക്കാട്
Option C: തൃശൂർ
Option D: മലപ്പുറം
Solution: | തൃശൂർ | 8 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
0.8214120864868164,
0.8162422776222229,
-0.3011810779571533,
-0.12704242765903473,
0.02660321444272995,
-1.141007900238037,
-0.006665268447250128,
0.0197550468146801,
0.2363753765821457,
-0.1551799178123474,
0.08254674077033997,
0.3262822926044464,
-0.5897671580314636,
-0.22566749155521393... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: Consider Input: and so decided to her eye was her cousin Maria's avoidance of him,
Output: فانی میدید که دخترخالهاش، ماریا، سعی دارد کمتر کنار آقای راشورث باشد،
Input: Consider Input: so that the ladies with long last names could emerge from their shadowy sanctuaries,
Output: خابی، بهخاطر اینکه خانمهایی که نام خانوادگیشان چند کلمهای بود بتوانند از پناهگاههای نیمهتاریک خود بیرون بزنند،
Input: Consider Input: Leaving a message that he would return in the morning he went home
| Output: با گذاردن یادداشتی، مبنی بر این امید که صبح فردا بازخواهد گشت، به خانه رفت،
| 2 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.5021533370018005,
0.90138840675354,
-0.018664611503481865,
-0.26843592524528503,
-0.45134854316711426,
-0.26526790857315063,
0.8381623029708862,
0.4615442752838135,
0.8134372234344482,
0.39456138014793396,
-0.6346122622489929,
0.30900755524635315,
-0.6359595060348511,
-0.270899027585983... |
Teacher:In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Teacher: Now, understand the problem? Solve this instance: operations within [the] state [are] thought so substantial and of such a nature as to justify suit against it on causes of action arising from dealings entirely distinct from those activities.” Int’l Shoe, 326 U.S. at 318, 66 S.Ct. at 159. If the court determines that there are sufficient minimum contacts with the forum to support general jurisdiction over the defendant, the court still must determine whether the assertion of such jurisdiction is reasonable under the circumstances of the case. See Metro. Life Ins. Co. v. Robertson-Ceco Corp., 84 F.3d 560, 573 (2d Cir.1996) (“[Reasonableness inquiry is applicable to all questions of personal jurisdiction, general or specific.”). See also Hockerson-Halberstadt, Inc. v. Propet USA, Inc., 62 Fed.Appx. 322, 337 (Fed. Cir.2003) (unpub. op.) (<HOLDING>). Therefore,-even where the defendant conducts
Holding statements: (A) holding that reasonableness analysis applies in general jurisdiction case under federal circuit law (B) holding that a similar motion to strike under california state law applies in federal court (C) holding that federal circuit would henceforth apply its own law rather than regional circuit law to questions involving the relationship between patent law and other federal and state law rights (D) holding that substantive admiralty law applies though suit was filed in federal court under diversity jurisdiction (E) holding title vii analysis applies in ada case
Student: | holding that a similar motion to strike under california state law applies in federal court | 6 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
-0.21236880123615265,
0.4497073292732239,
0.01984490640461445,
0.09182372689247131,
0.11783680319786072,
-0.6709140539169312,
0.4073196053504944,
0.905683159828186,
0.005579713732004166,
-0.49071770906448364,
-0.6681123971939087,
0.4326002299785614,
-0.5220036506652832,
-0.0325550809502601... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Example: Comment: your posts shows you are stupid period
Example solution: Insult
Example explanation: This comment is insult because it is scornful and disrespectful.
Problem: Comment: Oh please. My Dad was a British Home Child (YouTube it if you don’t know what that means). At the age of 12, he was sent to Canada on a ship by himself and ended up on an isolated farm in northern Ontario. He was picked on and beaten up and called a “gutter-snipe” by the Canadian Government. He worked hard, fought for Canada in World War Two, married raised a family and got on with his life. I can tell you that he never felt oppressed!
| Solution: Non-insult | 5 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.7196447849273682,
0.3579285442829132,
0.5743398666381836,
-0.2924845814704895,
0.08485178649425507,
-0.48569291830062866,
0.7198387384414673,
0.9674718379974365,
0.17161723971366882,
0.37493574619293213,
0.03325304388999939,
0.3076196312904358,
-0.824270486831665,
-0.7262717485427856,
... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
One example: Monterey is one of those.
Solution is here: מונטריי היא אחת מהם.
Explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Now, solve this: And congratulations on being such big makhers that you've become TED meisters.
Solution: | וברכות על היותכם כאלה יוצרים גדולים שהפכתם ליקירי TED. | 6 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.13160470128059387,
0.8856379389762878,
0.3311755061149597,
-0.6433798670768738,
-0.03302858769893646,
-0.32738786935806274,
0.26347658038139343,
0.07181622087955475,
1.0840437412261963,
-0.4192565083503723,
-0.22206896543502808,
0.3207029104232788,
-0.8654332756996155,
-0.09641455113887... |
TASK DEFINITION: In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc.
PROBLEM: Enrique Pen ̃ a Nieto ( born 20 July 1966 ) was the 57th President of Mexico from 2012 to 2018 .
SOLUTION: Enrique Pen ̃ a Nieto ( -RSB- ; born 20 July 1966 ) , commonly referred to by his initials EPN , is a Mexican politician who served as the 57th President of Mexico from 2012 to 2018 .
PROBLEM: Substance abuse , or drug abuse , happens when a person uses a drug over and over again , in ways that hurt their health .
SOLUTION: Substance abuse , also known as drug abuse , is a patterned use of a drug in which the user consumes the substance in amounts or with methods which are harmful to themselves or others , and is a form of substance-related disorder .
PROBLEM: Maurice " Moe " Roberts ( December 13 , 1905 – February 7 , 1975 ) was an American retired professional ice hockey goaltender .
SOLUTION: | Maurice " Moe " Roberts ( December 13 , 1905 – February 7 , 1975 ) was an American ice hockey player , who was the oldest man ever to play the position of goaltender in National Hockey League history , and in two different stretches of several decades was both the oldest player ever to play a NHL game and the " youngest " man ever to play goal in the NHL .
| 8 | NIv2 | task955_wiki_auto_style_transfer | fs_opt | [
0.8903318643569946,
-0.6805345416069031,
-0.3584379553794861,
-0.3756316900253296,
0.8078908324241638,
-1.4237867593765259,
0.306286096572876,
0.671762228012085,
0.46945255994796753,
0.01137864962220192,
-0.2289956510066986,
0.739977240562439,
-0.8175318837165833,
-0.0031655547209084034,
... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
[Q]: Article: The tradition of birthday parties started in Europe a long time ago. It was feared that evil spirits were particularly attracted to people on their birthdays. To protect them from harm, friends and family members would come to stay with the birthday person and bring good thoughts and wishes. Giving gifts brought even more good cheer to keep away from the evil spirits. This is how birthday parties began. The following are some countries' birthday traditions: Canada---Putting butter on the nose. In Atlantic Canada, the birthday child's nose is put butter on for good luck. China---Noodles for lunch. The birthday child pays respect to his / her parents and receives a gift of money. Friends and relatives are invited to lunch and noodles are served to wish the birthday child a long life. England---Money cakes. Certain symbolic objects are mixed into the birthday cake as it is being prepared. If your piece of cake has a coin in it, you will be rich. Ireland---Birthday bump . The birthday child is lifted upside down and " bumped" on the floor for good luck. Italy---Pulling ears. The child's ears are pulled as many times as how old he / she is turning. Japan---New clothes. The birthday child wears new clothes to mark the occasion. New Zealand---Birthday claps. After the candles are hit, the happy birthday song is sung loudly and often out of tune and then the birthday person receives a clap for each year he / she has been alive and then one for good luck. The United States---Cake, candles and the birthday song. A cake is made, and candles are put on top based on how old the person is.
Answer: China.
[A]: According to the passage, in which country can the birthday children probably receive a gift of money?
[Q]: Article: When Julia Rhodes is asked what she does for a living,she says she is a "wind farmer".While her job is operation manager for wind farm owner RES-Gen:Rhodes is responsible for making sure their l4 wind farms in the UK and Ireland are using the power of the wind to produce power for homes and businesses. RES-Gen is a division of leading renewable energy group Renewable Energy Systems(RES),a UK-based company with global operations. RES was one of the pioneers of wind energy technology.It built the UK's second wind farm in l992.Since then:RES has built more than 40 wind farms across four continents. Rhodes graduated from the University of Nottingham with a degree in manufacturing engineering. Following that,she received a master's degree in renewable energy systems technology specializing in wind energy. Rhodes has worked in the wind sector ever since, providing technical support for two leading wind farm developers before joining RES in 2001. RES's projects are continually monitored by computer and checked remotely on a daily basis.Regular servicing is carried out by contractors ,usually every six months. Rhodes always has a top--level view of how well the wind turbines are operating. Rhodes is a supporter of wind--energy engineering.She also works closely with other departments to keep good relations with the communities around RES's wind farms.The open days and government officials' visits show that wind power is popular and that wind projects-are viewed positively. Renewable energy is a growing sector with attractive career prospects. For Rhodes.as the RES wind farms expand,the team that she manages is expected to increase.She enjoys working for a company with strong engineering roots and a highly respected track record .Her job as a wind farmer is challenging and enjoyable."It's great knowing that you are helping to bring about a clean.environment and are contributing to the global community."
Answer: Julia Rhodes and her work.
[A]: What's the text mainly about?
[Q]: Article: Dear Carol, I wear braces and I know I look just terrible in them. Is there anything I can do to improve my appearance until they come off? Connie N. Philadelphia, PA Dear Connie, Start by thinking about how good you are going to look when your braces come off. If you are negative about your appearance, people will pick that up right away about you. In the meantime there are several things that you can do to lift your spirits: Change your hairstyle. Be sure to get a good cut so that the shape of your hair will be flattering to your face and also good for your type of hair (fine, thick, straight, curly, etc.) Choose a hairstyle that draws attention away from your face. Hair pulled back into a pony-tail or into a ball on top or slightly off-center can be attractive and practical for this purpose. Keep skin clean. If you choose to wear makeup , it should look natural. Blusher and lip gloss in light tones of peach or pink are best. Be well-groomed . Neatness really _ . People see a total look about you before they ever become aware of your braces. And first impressions are lasting ones!
Answer: Because she cared much about her appearance.
[A]: | Why did Connie write to Carol?
| 5 | NIv2 | task311_race_question_generation | fs_opt | [
0.7034024000167847,
1.074111819267273,
-0.2865620255470276,
-0.5318944454193115,
-0.14507916569709778,
-0.08998164534568787,
0.7989962697029114,
1.0095126628875732,
-0.09810106456279755,
-0.0243912935256958,
0.2575494647026062,
0.22870416939258575,
-0.49718552827835083,
0.4362265467643738,... |
Q: This task is to translate the English language Input to Telugu Language Output
My question :
A: | నా ప్రశ్న: | 7 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.06617715954780579,
1.2523443698883057,
0.31914085149765015,
0.10928797721862793,
0.5166258811950684,
-0.5204497575759888,
-0.0034181016962975264,
-0.03077312558889389,
-0.021231021732091904,
-0.376145601272583,
0.559288501739502,
0.14862480759620667,
-0.5531219840049744,
0.17406794428825... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Example input: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Example output: English
Example explanation: Input sentence is in English language as all the characters are of English alphabets only.
Q: आंबेर के कछवाहा राजपूत राज भारमल ने अकबर के दरबार में अपने राज्य संभालने के कुछ समय बाद ही प्रवेश पाया था।
A: | Hindi | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.07599508762359619,
0.6582305431365967,
0.6904892921447754,
0.11350436508655548,
-0.5467839241027832,
-0.25841087102890015,
0.4393545389175415,
0.26069116592407227,
-0.2418450564146042,
-0.7611057758331299,
-0.08058418333530426,
0.2180345058441162,
-0.3308320641517639,
0.0783815681934356... |
Definition: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Input: [[63, 38, 63, -136, -61, 43], [-85, -43], [-38, 87]]
Output: | [63, -43, 87] | 2 | NIv2 | task207_max_element_lists | zs_opt | [
0.12247097492218018,
0.19122272729873657,
-1.099726915359497,
0.04678455367684364,
0.13167591392993927,
0.36227524280548096,
0.7312387228012085,
-0.16981081664562225,
0.5438209176063538,
0.02199336141347885,
-0.6134639382362366,
-0.0029319007880985737,
-0.04016721621155739,
0.0020764833316... |
You will be given a definition of a task first, then some input of the task.
Given a scientific question, generate a correct answer to it.
Why does a metal spoon heat up quickly when placed in a hot drink?
Output: | low specific heat | 1 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.18464037775993347,
0.9977321028709412,
-0.8144446015357971,
-0.37645477056503296,
-0.3651789128780365,
-0.4134639799594879,
-0.4816247224807739,
0.2664176821708679,
0.3909061551094055,
-0.014909878373146057,
0.5754625201225281,
0.07741941511631012,
-0.9964184165000916,
-0.101696901023387... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
question:
Questo è un negozio per un'azienda di borse.
answer:
バッグ会社の店舗
question:
Questa sorta di abilità di fare tutto in modi nuovi rilascia un potenziale, non meno nell'area della medicina.
answer:
全てを新しいやり方で行うこの種の能力は医療分野にとどまらず可能性を解き放ちます
question:
Sebbene non viaggiò mai in Europa, con i re di Shakespeare andò nell'allegra Inghilterra, con la poesia di Lord Byron andò in Spagna e Portogallo.
answer:
| ヨーロッパ旅行をせずともシェイクスピアの王と共に陽気なイギリスへ行きバイロンの詩と共にスペインやポルトガルに行きました
| 9 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.5239149332046509,
0.48190587759017944,
0.043208591639995575,
-0.5253908634185791,
-0.05897777900099754,
-0.37064218521118164,
0.3300047516822815,
0.26102215051651,
0.25974661111831665,
-1.2978606224060059,
-0.6029449105262756,
0.9934239983558655,
-0.14899438619613647,
0.8203390836715698... |
Definition: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: Esteban I (en latín, Stephanus I; en húngaro, I. István; en eslovaco, Štefan I.; Esztergom, c. 975-ib. o Székesfehérvár, 15 de agosto de 1038), llamado «el Santo»[a] o «el Grande»,[b] fue el último gran príncipe de los húngaros (997-1000/1001) y el primer rey de Hungría (1000/1001-1038). El año de su nacimiento es incierto, pero las fuentes sugieren que nació en o después de 975 en Esztergom; su nombre original era Vajk, de origen pagano. La fecha de su bautismo tampoco es conocida. Fue el único hijo varón del gran príncipe Géza y Sarolta, princesa descendiente de una distinguida familia de gyulas.[c] Aunque sus padres fueron bautizados antes de su nacimiento, Esteban fue el primer miembro de la dinastía Árpad devoto del cristianismo. Se casó con Gisela de Baviera, originaria de la dinastía imperial otoniana.
QUESTION: ¿Quién fue Esteban I?
Output: | el último gran príncipe de los húngaros (997-1000/1001) y el primer rey de Hungría (1000/1001-1038) | 2 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
1.2673311233520508,
0.3110482096672058,
-0.32152628898620605,
-0.4940965175628662,
0.26579928398132324,
-0.19348007440567017,
0.37995588779449463,
1.1608550548553467,
0.1511966586112976,
-0.45353078842163086,
-0.19740894436836243,
1.2353394031524658,
-0.3935070037841797,
0.0737066790461540... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['5785', '7447', '2147', '6809', 'U', '6849', 'v', 'O', 's']
Output: | 5785, 7447, 2147, 6809, 6849 | 1 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.40366244316101074,
0.5717653632164001,
-1.115093469619751,
-0.13605298101902008,
0.08030672371387482,
0.02889546938240528,
0.30838578939437866,
-0.34694617986679077,
0.03613399714231491,
0.24691878259181976,
-0.5874792337417603,
-0.14431288838386536,
0.5344823598861694,
-0.00892338715493... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Ex Input:
[-739, 529, -781, -160, -152, 91, -211, 900, 447, -299, -800, 475]
Ex Output:
[-740, 530, -780, -160, -150, 90, -210, 900, 450, -300, -800, 480]
Ex Input:
[-264, -364, 814, -540, 864, -286, -668, -844, 148, 815, 918, 130, -671, -157]
Ex Output:
[-260, -360, 810, -540, 860, -290, -670, -840, 150, 820, 920, 130, -670, -160]
Ex Input:
[613, -286, 873, -801, -37, -565, 160, 39, -944, -905, -651, 811, 4, -974, -981]
Ex Output:
| [610, -290, 870, -800, -40, -560, 160, 40, -940, -900, -650, 810, 0, -970, -980]
| 1 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.5572822690010071,
-0.07333217561244965,
-0.7310253977775574,
-0.09431752562522888,
-0.19122207164764404,
-0.7085122466087341,
0.40996992588043213,
0.14547547698020935,
-0.7243422269821167,
0.0643341913819313,
-0.6472781896591187,
0.4805108308792114,
-0.5557453632354736,
0.02241401746869... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
--------
Question: Background Paragraph: The example of someone having a positive experience with a drug is easy to see how drug dependence and the law of effect works. The tolerance for a drug goes up as one continues to use it after having a positive experience with a certain amount the first time.[38] It will take more and more to get that same feeling. This is when the controlled substance in an experiment would have to be modified and the experiment would really begin. The law of work for psychologist B. F. Skinner almost half a century later on the principles of operant conditioning, "a learning process by which the effect, or consequence, of a response influences the future rate of production of that response.[39].
Story: The Coke Crew met to discuss their experiences. They all said they always had a great experience using coke and used the same amount each time. They told how many times they used coke. Ashley used it 23 times, Judith used it 27 times, Rose used it 32 times, Janice used it 43 times, Kelly used it 57 times, Nicole used it 65 times, and Judy used it 72 times.
Question: Who has a higher tolerance for coke: Janice or Judy?
Answer: Judy.
Question: Background Paragraph: The Table above includes the ideal mechanical advantage of each class of lever. The mechanical advantage is the factor by which a machine changes the input force. The ideal mechanical advantage is the increase or decrease in force that would occur if there were no friction to overcome in the use of the machine. Because all machines must overcome some friction, the ideal mechanical advantage is always somewhat greater than the actual mechanical advantage of the machine as it is used in the real world.
Story: James lives out on the country, He wants to gather some water from a well out from behind his house. When he gets there he realizes that the wheel on the lever that pulls up the bucket is rusted which adds more friction. He decides to oil the wheel to reduce the friction.
Question: Will the lever James is using get closer or further to it's ideal mechanical advantage when he oils it?
Answer: closer.
Question: Background Paragraph: Although some lipids in the diet are essential, excess dietary lipids can be harmful. Because lipids are very high in energy, eating too many may lead to unhealthy weight gain. A high-fat diet may also increase lipid levels in the blood. This, in turn, can increase the risk for health problems such as cardiovascular disease. The dietary lipids of most concern are saturated fatty acids, trans fats, and cholesterol. For example, cholesterol is the lipid mainly responsible for narrowing arteries and causing the disease atherosclerosis.
Story: Ben and Jerry were two friends with very different dietary habits. Jerry ate healthy food, and was always on top of his caloric consumption, while Ben overate because he loved fatty foods such as butter, bacon et al.
Question: Which friend had a lower chance of experiencing unhealthy weight gain?
Answer: | Jerry.
| 7 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.1544850915670395,
0.3628552258014679,
-0.43776896595954895,
-0.23912908136844635,
0.2861438989639282,
-0.8902553915977478,
0.20621532201766968,
1.1121551990509033,
-0.054975174367427826,
-0.21114297211170197,
-0.377212256193161,
-0.09347212314605713,
-0.4915797710418701,
0.10290776938199... |
Given the task definition and input, reply with output. 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.
温度は92°Fに達し、1932年のレースに次いで2番目の高さとなった。
| Temperatur ini menjadikan balapan menjadi yang terpanas kedua setelah balapan tahun 1932, yang mencapai temperatur 92 derajat Fahrenheit. | 5 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.34762975573539734,
0.091091588139534,
-0.27415940165519714,
0.2891334295272827,
-0.3861149251461029,
-0.2925751209259033,
0.16841642558574677,
-0.4092308282852173,
-0.18687260150909424,
-0.8565388917922974,
-0.9226863980293274,
0.8799687623977661,
-0.9063399434089661,
0.7154974341392517... |
Definition: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Input: You're welcome!
The eastern part became known as Pakistan, the eastern wing of newly born Pakistan and the western part came to be known as West Bengal, which continued as Indian state.
What else can you tell me?
Great thank you!
What can you tell me about it's etymology?
Output: | The eastern part became known as Pakistan, the eastern wing of newly born Pakistan and the western part came to be known as West Bengal, which continued as Indian state. | 2 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.10986874252557755,
0.6917058229446411,
-0.24359560012817383,
0.013573871925473213,
-0.39958077669143677,
0.17994976043701172,
1.1056615114212036,
-0.8640174865722656,
0.07506762444972992,
-0.3552219867706299,
-0.4142414927482605,
-0.017780516296625137,
-0.029198363423347473,
0.275319695... |
In this task your given two statements in Estonian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
--------
Question: Mees elas surmava haiguse üle.
Talle siirdati elund.
Answer: cause
Question: Naine väitis, et nägi tonti.
Ta tuttavad väljendasid skeptitsismi.
Answer: effect
Question: Tüdruk kaotas oma ratta üle kontrolli.
Ta sõitis aeda sisse.
Answer: | effect
| 7 | NIv2 | task969_xcopa_commonsense_cause_effect_et | fs_opt | [
-0.2579057812690735,
0.3548524081707001,
0.18217484652996063,
-0.5728703141212463,
-0.09714680910110474,
-0.9497430324554443,
0.15237240493297577,
1.281219720840454,
0.1200120598077774,
0.1886920928955078,
-0.6805742383003235,
0.6883666515350342,
-0.625590443611145,
0.15870262682437897,
... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
--------
Question: pSeries Dedicated Linux Servers Last Month saw IBM launch a range of very high performance, very cost effective Unix servers with the release of its latest pSeries machines.
Answer: Sci/Tech
Question: It #39;s Grand Theft over the internet A VIRTUAL crime simulator expected to be one of the biggest selling computer games of all time has been hit by techno-pirates. The Edinburgh company Rockstar North has made a fortune from its detailed virtual worlds where crime is the aim of the game.
Answer: Sci/Tech
Question: Karzai ahead in Afghan election #39;For the national interest and so the country does not go into crisis, we will respect the result of the election. But we also want the fraud to be made clear.
Answer: | World
| 7 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.1875196397304535,
0.3701356053352356,
-0.4897814989089966,
0.7310551404953003,
0.3072788119316101,
-0.017125295475125313,
0.3993109464645386,
0.6376535892486572,
-0.018371589481830597,
0.20625942945480347,
-0.4733138680458069,
0.7338205575942993,
-0.10112219303846359,
-0.020625151693820... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Q: כך שכולנו לומדים כל הזמן.
A: | So we're all learning all the time. | 4 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.48010513186454773,
0.704300582408905,
0.5319668054580688,
-0.3501940071582794,
-0.31694042682647705,
-0.6681216955184937,
0.21704189479351044,
-0.10246394574642181,
0.8931806087493896,
-0.5653640031814575,
0.20049473643302917,
-0.001646365155465901,
-0.8606396913528442,
0.37564510107040... |
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? If you are still confused, see the following example:
What is the sentiment of the following document towards the entity Bill Clinton ? Bill Clinton knows how to win friends and influence people. The former president is a master of reinvention — and the same talents that guided him into office have propelled him, more recently, into the stratosphere of Internet stardom.
Solution: Positive
Reason: Here the author of the document praises Bill for this ability to win friends.
Now, solve this instance: What is the sentiment of the following document towards the entity Carles Puigdemont ? Catalan President Carles Puigdemont said he favored mediation to find a way out of the crisis but that Spainâs central government had rejected this. Prime Minister Mariano Rajoyâs government responded by calling on Catalonia to âreturn to the path of lawâ first before any negotiations.
Puigdemont told the BBC he would ask the regionâs parliament to declare independence following the referendum which Spainâs government and constitutional court say was illegal and in which only a minority of Catalans voted.
In a televised address on Wednesday night Puigdemont said: âThis moment calls for mediation. We have received various offers in the last hours and we will receive more.â
Without specifically mentioning plans for an independence declaration he added: âI am sure that in the next few days we will show the best of our country when the institutions of Catalonia will have to apply the results of the referendum.
Prime Minister Mariano Rajoyâs government replied that Puigdemont had wasted an opportunity to put Catalonia back on a legal course. âIf Mr. Puigdemont wants to talk or negotiate or wants to send mediators he knows perfectly well what he must do first: Return to the path of the law â it said in a statement.
Puigdemont criticized Spainâs King Felipe VI who on Tuesday lambasted the âirresponsible behaviorâ of the Catalan leaders.
He said the king had disappointed many people in Catalonia by failing to call for dialogue and he accused King Felipe of endorsing the policies of Rajoy which he said had been âcatastrophicâ for Catalonia.
Catalan Regional President Carles Puigdemont gestures as he makes an statement at Generalitat Palace in Barcelona Spain October 4 2017. Catalan Goverment/Jordi Bedmar Handout via REUTERS
Student: | Negative | 2 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.14050450921058655,
0.691550076007843,
0.2115752398967743,
-0.36201566457748413,
0.28887197375297546,
-0.8659532070159912,
1.0590368509292603,
0.5780390501022339,
-0.12326262891292572,
0.4623798429965973,
0.20169597864151,
0.9140142798423767,
-0.2391725778579712,
-0.19725334644317627,
... |
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.
Input: Consider Input: 2673 - 123 - 5121 + 7601 + 976 + 4369 - 4232
Output: -797
Input: Consider Input: 3477 + 8970 + 2278 - 9906 - 106 - 208 - 1334
Output: 3783
Input: Consider Input: 1658 + 9005 - 9871
| Output: 2524
| 2 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.6651930809020996,
0.42289549112319946,
-0.7973456978797913,
0.24455130100250244,
-0.14737194776535034,
0.2663384675979614,
0.5387880802154541,
1.0497031211853027,
0.24345432221889496,
-0.1164352297782898,
-0.4319068491458893,
-0.11076310276985168,
-0.512502908706665,
0.20040997862815857... |
TASK DEFINITION: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
PROBLEM: Person1: Show us our itineraries , please .
Person2: We'll first go to Mount Tai , then we'll go to Sichuan by air , after that we'll be leaving for Tibet .
Person1: How long will the trip take ?
Person2: At least 20 days .
SOLUTION: 0
PROBLEM: Person1: What type of movies do you like ?
Person2: I like all sorts of movies , primarily drama and science fiction .
Person1: That's an interesting combination . How about western movies ?
Person2: Western and horror are the two types of movies I don't care for .
Person1: Why don't you like horror ? They're entertaining .
Person2: Some are entertaining , but I find most of them stupid and childish . For example , I don't understand why a person always goes into the house alone when something is suspicious .
Person1: Ha ha . I know what you mean . But it's just a movie . They need for the characters to do that .
SOLUTION: 1
PROBLEM: Person1: Hey , Lily ! You won't believe what happened in class today !
Person2: What ?
Person1: A man sent Miss Smith flowers , and Bryan got kicked out of class !
Person2: Cool ! I wish I could have been there !
Person1: Me , too . I miss you . Are you any better ?
Person2: Yes . But if I have any more soup , I think I'll die .
SOLUTION: | 0
| 8 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.11142511665821075,
0.24999645352363586,
-0.5040168762207031,
-0.2322593778371811,
0.024650240316987038,
-0.21136435866355896,
1.0278544425964355,
-0.036201365292072296,
-0.37646281719207764,
-0.24767377972602844,
-0.06492412090301514,
-0.36778905987739563,
-0.634410560131073,
0.314658880... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Arabic language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
--------
Question: give me the telephone number of a 9 star restaurant .
Answer: أعطني رقم هاتف مطعم حاصل على تقييم 9 نجوم .
Question: display restaurants with more than 9 reviews .
Answer: اعرض المطاعم الحاصلة على عدد تقييمات 9 .
Question: who wrote the latest review for " first wok " ?
Answer: | من الذي كتب آخر مراجعة لـ "first wok"؟
| 7 | NIv2 | task250_spl_translation_en_ar | fs_opt | [
-0.42773109674453735,
0.7811466455459595,
0.11259947717189789,
-0.5623941421508789,
-0.2556373178958893,
0.08476486057043076,
1.0897889137268066,
0.16931842267513275,
-0.14036688208580017,
-0.25073152780532837,
0.10661210864782333,
0.062136366963386536,
-0.8066918849945068,
0.7092405557632... |
Q: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
Context: she was created a life peer as Baroness Llewelyn-Davies of Hastoe, of Hastoe in the County of Hertfordshire on 29 August 1967 Link Information: none Answer: none
A: | What is the population of the town that Llewelyn-Davies' peerage is named after? | 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.16447828710079193,
0.6458595991134644,
-0.32856088876724243,
0.6286198496818542,
0.16375792026519775,
-0.6614111065864563,
0.6030066609382629,
0.008863283321261406,
-0.1247100681066513,
-0.06902629137039185,
-0.215187668800354,
0.4327666759490967,
-0.8212340474128723,
0.1484125405550003... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Example: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می شود.
Output: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
The Farsi sentence is correctly translated into English. The term `Gbe'borun` is copied and not translated, which is correct because the sentence refers to the Nigerian term for the plant.
New input case for you: و شش سال قبل ، مسیر شغلی ام را عوض کردم.
Output: | And so six years ago, I changed the direction of my career. | 1 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.672295093536377,
0.2881520092487335,
0.06585797667503357,
0.268968403339386,
0.26019611954689026,
-0.6396471858024597,
0.6051850318908691,
0.34592902660369873,
0.087230384349823,
0.40495070815086365,
-0.7318857908248901,
0.09518256783485413,
-0.680194079875946,
0.1796545684337616,
0.7... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Q: Verify if the sentiment of the following document towards the entity Nicolás Maduro is Negative . The coalition known as the Democratic Unity Roundtable (MUD) is considered the principal opposition to Nicolás Maduroâs socialist regime and includes more than a dozen political parties whose ideologies range from center-left to center-right.
Maduro first announced he would ban some opposition leaders from running in December after they questioned the legitimacy of the latest round of elections.
Other prominent opposition leaders such as Popular Will leader Leopoldo López and rightful Caracas Mayor Antonio Ledezma remain imprisoned or exiled by the regime .
The election which is scheduled for April is widely expected to be rigged in Maduroâs favor with his regime looking to fully consolidate its power on the country experiencing the worst political economic and humanitarian crisis in its history.
A: | yes | 4 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.19608989357948303,
-0.039565347135066986,
-0.14481043815612793,
0.34979116916656494,
-0.4778801202774048,
-0.34341710805892944,
0.8423405289649963,
1.0259571075439453,
-0.28325438499450684,
0.7287721633911133,
-0.7001965045928955,
-0.1621633768081665,
-0.15360578894615173,
-0.14248859882... |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Input: Context Word: parakeet.
Output: | Sentence 1: PersonX has a pet parakeet that loves to hang out with PersonY, and _ feels jealous.
Sentence 2: PersonX has a pet parakeet that loves to hang out with PersonY, so _ feels special. | 3 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.19245100021362305,
0.4260285496711731,
-0.001965869218111038,
-0.27369970083236694,
0.2843434512615204,
-0.24576124548912048,
0.8325126767158508,
0.9130021929740906,
-0.1503116339445114,
-0.39143607020378113,
-0.5154449939727783,
-0.14063522219657898,
-0.46439769864082336,
-0.02072690241... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: הם לא אוהבים את זה; הם חושבים שזה שגעון. אני לא חושב שזה שגעון.
Student: | Eles non gustan disto, cren que son excentricidades. Eu non. | 6 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.5163424015045166,
0.4746897220611572,
0.4933159351348877,
-0.44395312666893005,
-0.21218755841255188,
-1.082301139831543,
0.5880640745162964,
0.45163601636886597,
0.3985339403152466,
-0.4006170928478241,
-0.1525512933731079,
0.03816691040992737,
-0.536370038986206,
-0.7854727506637573,
... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: and Doctor Webster Civet who was drowned last summer up in Maine.
Student: | و دکتر وبستر سیوت که تابستان پیش در مین غرق شد. | 6 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.6822575330734253,
0.43907010555267334,
-0.5864318609237671,
-0.7620736360549927,
-0.1411939561367035,
-0.769162654876709,
0.08867500722408295,
0.39815229177474976,
0.05651651695370674,
0.4800330102443695,
0.12606532871723175,
0.1463790088891983,
-0.622907280921936,
-0.08247333765029907,... |
TASK DEFINITION: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
PROBLEM: The pot
SOLUTION: i be here but now i'm not i go outside to get a pot the inside be brown so i go out of town so that be the end of the pot
PROBLEM: The Pools Pump Poast
SOLUTION: tall wold poast mass all over one red swich gray box over bug crall up bug crall down bug crall all around
PROBLEM: Wouldn't it ........
SOLUTION: | would n't it be great if we could all live in hawaii if we could jump in a pool in the middle of may wuld n't it be awful if winter be all year long if it be cold in the summer would n't it be great if you be rich would n't it be
| 8 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.2919730544090271,
1.214920163154602,
-0.2776419520378113,
-0.40363848209381104,
-0.4136607050895691,
-1.1537710428237915,
0.5639503598213196,
0.3178567886352539,
-0.003043369622901082,
-0.17321763932704926,
-0.6156967878341675,
0.5198718905448914,
-0.8617472648620605,
0.1282466500997543... |
Instructions: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it. The "no sentiment expressed" label should be assigned to the reviews where the given aspect didn't discuss in the text.
Input: طعمش رو نمپسندیم. نسبت به برندای دیگه با یک نوع پخت، نرم از آب درمیاد!<sep>Question: نظر شما در مورد عطر، بو، و طعم این ماکارونی، پاستا و رشته چیست؟
Output: | negative | 3 | NIv2 | task524_parsinlu_food_aspect_classification | zs_opt | [
-1.0007989406585693,
0.11695858836174011,
0.29284170269966125,
-0.24412216246128082,
0.020347293466329575,
0.44755327701568604,
1.1959421634674072,
0.36794301867485046,
0.44941890239715576,
0.13465267419815063,
-0.07158695161342621,
0.007929202169179916,
-0.6981263160705566,
0.365850090980... |
Instructions: You are shown a random response (from a computer or a human). Generate a language query such that it leads to this reply.
Input: i have booked frankie and bennys and Reference number is : JMGIG52I .
Output: | I would like to dine at a restaurant in the south that serves barbeque. Can you help? | 3 | NIv2 | task639_multi_woz_user_utterance_generation | zs_opt | [
-0.5856099128723145,
0.3944617807865143,
-0.6569076180458069,
-0.337099552154541,
-0.34328925609588623,
0.07203381508588791,
1.1058377027511597,
-0.9348475337028503,
0.28486549854278564,
-0.14991822838783264,
-0.37197238206863403,
-0.20736780762672424,
-0.7959195375442505,
0.48241716623306... |
Q: 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.
Is OTHER wrong in the post ? POST : So some backstory. My boyfriends sister has been fucked up on drugs lately (I don’t know her personally but this is what my boyfriend has been telling me). Anywho she’s fucked up on drugs, and gets kicked out of where she was living because she attacked someone. Anyways, she’s been missing for 2 days, doesn’t have a cell phone, is fucked up on Meth or heroine, and my boyfriend is worried sick. He doesn’t know how to find her so he can help her. I suggested going to the police and filing a missing persons case. He thinks this is a waste of time because “the police won’t do shit for a drug addict” am I the asshole for trying to continue to push for him to contact the police?
A: | yes | 7 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.18530963361263275,
-0.24583682417869568,
0.13445740938186646,
0.20143045485019684,
0.2972765862941742,
-1.1702114343643188,
-0.09751081466674805,
0.9062159061431885,
0.3063514530658722,
-0.13208016753196716,
-0.8603403568267822,
-0.00435190973803401,
-0.7757032513618469,
-0.159643083810... |
Q: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
Voorlopig wordt ervan uitgegaan dat de PCB-besmetting bij het bedrijf Bauduin-Cambier in Feluy via een besmette pletinstallatie voor granen gebeurde .
A: | PCB-besmetting: B-MISC, Bauduin-Cambier: B-ORG, Feluy: B-LOC | 7 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.46003395318984985,
0.10514406859874725,
-0.3636602759361267,
0.2780662477016449,
-0.2234756350517273,
-0.5741884708404541,
0.7007259130477905,
0.03594144433736801,
0.46507930755615234,
0.04457927495241165,
-0.8050696849822998,
0.6560998558998108,
0.5449252724647522,
-0.05589894577860832... |
Part 1. Definition
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Part 2. Example
when are hops added to the brewing process?
Answer: The boiling process
Explanation: The answer is correct because, at the end of the boil, solid particles in the hopped wort are separated.
Part 3. Exercise
who chose the 7 wonders of the ancient world
Answer: | Herodotus | 7 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.0675901547074318,
0.7536908388137817,
0.0017070671310648322,
0.49686360359191895,
-0.43337979912757874,
-0.8302364349365234,
0.9402673244476318,
0.22122471034526825,
0.19196435809135437,
-0.4695204496383667,
-0.7479386329650879,
0.1934966742992401,
-0.3620838522911072,
0.060536678880453... |
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
eq { hop { argmin { all_rows ; original air date } ; nick prod } ; 1001 } = true
A: | select the row whose original air date record of all rows is minimum . the nick prod record of this row is 1001 . | 7 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.096336729824543,
-0.06879842281341553,
-0.2993423342704773,
0.06077980250120163,
0.03785279393196106,
-0.2972286343574524,
0.5609044432640076,
0.38358959555625916,
-0.10625821352005005,
-0.012415464036166668,
-0.7440412044525146,
0.005365239456295967,
-0.23772092163562775,
0.517007887363... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
One example: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Solution is here: 8297, b
Explanation: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297', 'b', 'U', 'b'] and [5843, 8809, '8297', 'b', 'W', 'C'].
Now, solve this: [7465, 3469, 8523, 5973, 9435, 5837, 'h', 7427, 'N', 3135, '9855', 'R', '5757', 'r', '2259', '343', 'j', 'F', '6879', 'c', 's', 'T', 'r', 'z', 'n', 7775, 'o', 'u', 'B', 'F', 6215, 'N', 9003], ['s', 2245, 2633, 8079, 'M', 'y', 'P', 4239, '9855', 'R', '5757', 'r', '2259', '343', 'j', 'F', '6879', 'c', 's', 'T', 'e', 6859, 'k', 'o', 339, 9039, 6347, 'h', 'l', 'E', 1683, 'K']
Solution: | 9855, R, 5757, r, 2259, 343, j, F, 6879, c, s, T | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3269073963165283,
0.03938336670398712,
-0.2496127039194107,
-0.5220977663993835,
-0.10711507499217987,
-0.38351118564605713,
-0.009911876171827316,
0.8797537088394165,
-0.4023956060409546,
0.22754041850566864,
-0.8043968677520752,
0.06936327368021011,
0.3455784022808075,
0.4104787409305... |
Part 1. Definition
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Part 2. Example
[-83, 53, -48, 8]
Answer: [-80, 50, -50, 10]
Explanation: The output correctly rounds each integer in the input list to the nearest ten. So this is a good example.
Part 3. Exercise
[-697, -625, 428, -431, -160, 803, 978, -46, -794, 765, -874, -936, -760, 500]
Answer: | [-700, -620, 430, -430, -160, 800, 980, -50, -790, 760, -870, -940, -760, 500] | 7 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.40925225615501404,
0.3324863314628601,
-0.4232386350631714,
-0.1919688880443573,
0.31149089336395264,
-0.09805697947740555,
0.9557814598083496,
0.06735071539878845,
-0.08842039853334427,
0.25909119844436646,
-0.5454387664794922,
-0.23625288903713226,
-0.6423569917678833,
0.1600435525178... |
You will be given a definition of a task first, then some input of the task.
This task is to translate the Telugu Language Input to English Language Output
అటువంటి: 0523-66 46 74
Output: | Such: 0523-66 46 75 | 1 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
-0.20544129610061646,
0.44305187463760376,
0.5310704708099365,
0.1731993854045868,
0.08240398019552231,
-0.017456673085689545,
0.16906124353408813,
0.008476883172988892,
0.10556389391422272,
-0.29119873046875,
0.09152050316333771,
0.3090825080871582,
-0.4996401369571686,
-0.204552650451660... |
Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Input: why the fuck does my mum want me to put corn in the curry?! #grim
Output: | Sad | 3 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.808544635772705,
0.18739482760429382,
1.0045123100280762,
-0.1864379197359085,
-0.02182723581790924,
-0.5131875276565552,
0.11850787699222565,
0.2858392000198364,
0.015595981851220131,
0.5118048191070557,
-0.5200413465499878,
-0.20218981802463531,
-0.7226718664169312,
0.1216168105602264... |
Instructions: This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
Input: CONTEXT: 30 de septiembre de 2008 Más de un centenar de personas han muerto en los alrededores del templo de Chamunda, en la ciudad india de Jodhpur, estado de Rajastán, durante un festival hindú. La rotura de un muro del edificio junto al templo provocó una avalancha de peregrinos en estampida movidos por el pánico que causó las muertes por aplastamiento. Chamunda está ubicada en lo alto de una colina y, según fuentes de la policía, se encontraban en el momento de la catástrofe entre 12.000 y 25.000 personas, que se han precipitado en el descenso. Todos los fallecidos eran varones al ser la zona de acceso de éstos la que sufrió la avalancha. Las autoridades sanitarias informaron de la muerte de 113 personas, y otros 150 heridos graves. En esta época la India celebra los preparativos de la gran fiesta hindú de las luces, Diwali, que tiene lugar el 28 de octubre y marca el inicio del nuevo año religioso hindú. Durante este tiempo son frecuentes los accidentes por avalanchas humanas. El más grave se produjo en 2005, cerca de Satara, cuando murieron 257 personas.
ANSWER: 113 personas, y otros 150 heridos graves
Output: | ¿Cuál es el balance de víctimas a causa de la avalancha humana? | 3 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.7113982439041138,
-0.05341537296772003,
-0.5635631084442139,
-0.12308867275714874,
-0.8401201963424683,
-0.347819983959198,
-0.7962664365768433,
1.630720615386963,
-0.3595697283744812,
-0.16744057834148407,
-0.24945107102394104,
0.27367672324180603,
-0.34050217270851135,
0.41713613271713... |
Q: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
US Pledges to Cut Deficit as G-20 Sees Growth Risks (Update1) Treasury Secretary John Snow pledged to reduce the US budget deficit, blamed by Europeans for the euro #39;s gains against the dollar and cited as a risk to global growth by ministers from 20 industrial and emerging economies.
A: | Business | 7 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.7198760509490967,
0.34656035900115967,
-0.27574557065963745,
0.2485724538564682,
0.31380584836006165,
0.44729405641555786,
0.0003379767294973135,
-0.1928095668554306,
-0.2544436454772949,
0.14577361941337585,
-0.28187885880470276,
0.47273167967796326,
-0.7701987028121948,
-0.30046135187... |
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