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 |
|---|---|---|---|---|---|---|
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM, finding probabilities etc. Each question has only one correct answer. This answer can be a positive or negative integer, a fraction or a decimal number. If the answer is a negative number use the hyphen (e.g. -42) symbol for the minus sign. For decimal numbers, do not add extra zeros after the decimal point. For fractional numbers, separate the numerator and denominator using a forward slash (e.g. 3/25).
Example input: Let y = -74 - -79. Solve 0 = -y*q - 13 + 3 for q.
Example output: -2
Example explanation: Solving the two equations, we find that the value of q is -2. The solution can be obtained by simply solving the equations one after another using substitution.
Q: What is 2896 to the power of 1/8, to the nearest integer?
A: | 3 | 3 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.5003098249435425,
0.7362189292907715,
-0.22602742910385132,
-0.5309210419654846,
0.08505915105342865,
-0.4525960683822632,
0.770278811454773,
0.7533091306686401,
-0.1154121458530426,
-0.3713113069534302,
-0.7119040489196777,
0.4201996326446533,
-0.3651345372200012,
-0.012223262339830399... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
See one example below:
Problem: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Explanation: The English sentence is correctly translated into Italian, because the meaning is preserved.
Problem: On this journey, we faced the danger of crevasses, intense cold, so cold that sweat turns to ice inside your clothing, your teeth can crack, water can freeze in your eyes.
Solution: | In questo viaggio, abbiamo affrontato la pericolosità dei crepacci, il freddo estremo, così freddo che il sudore diventa ghiaccio sotto i vestiti, I denti possono spaccarsi, l'acqua può congelare nei tuoi occhi. | 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.05931657925248146,
0.9234263300895691,
0.14720556139945984,
-0.10435093939304352,
-0.26355406641960144,
-0.5508657097816467,
0.07136040925979614,
0.7797561287879944,
-0.06875337660312653,
-0.10380295664072037,
-0.06203654408454895,
0.4058595895767212,
-0.8948572874069214,
0.082041904330... |
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.
Q: Context Word: Meditation.
A: Sentence 1: Meditation is slowly helping PersonX who is a teacher, after _ panic attack according to PersonY.
Sentence 2: Meditation is slowly helping PersonX who is a teacher, after _ panic attack said PersonY.
****
Q: Context Word: hypnosis.
A: Sentence 1: PersonX used hypnosis therapy on PersonY, so that _ could try to help them stop their smoking habit.
Sentence 2: PersonX used hypnosis therapy on PersonY, so that _ could try to stop their smoking habit.
****
Q: Context Word: Trees.
A: | Sentence 1: PersonX was very concerned about the environment PersonY wasn't that interested. _ planted a lot of trees on their land.
Sentence 2: PersonX was very concerned about the environment PersonY wasn't that interested. _ cut a lot of trees on their land.
****
| 4 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.21504656970500946,
0.380545437335968,
-0.039461057633161545,
-0.4226680397987366,
0.33877113461494446,
-0.5471746921539307,
0.7566524147987366,
0.766459584236145,
-0.10819006711244583,
-0.5389281511306763,
-0.6396867036819458,
-0.368450403213501,
-0.4057875871658325,
0.06786562502384186,... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
5, 9, ['g', 'M', '4701', 'T', '5051', 'P', '8773', '9505', '7503', 'k', 'i', '1309', 'n', 'Q'] | 5051, P, 8773, 9505, 7503 | 0 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.3070948123931885,
0.0744762271642685,
-0.5296379923820496,
-0.19643178582191467,
0.05765664577484131,
-0.772338330745697,
0.39420363306999207,
-0.4899143874645233,
-0.47572439908981323,
0.3960186243057251,
-1.0604223012924194,
-0.5350309610366821,
-0.4030446410179138,
0.0223747938871383... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:ഇക്കഴിഞ്ഞ ഡിസംബര് 25 ന് ലോകമെങ്ങും ക്രിസ്തുമസ് വളരെ ഉത്സാഹത്തോടെ ആഘോഷിക്കപ്പെട്ടു.
Solution: | কিছুদিন আগেই সারা পৃথিবী জুড়ে ধুমধাম করে পালিত হল ক্রিসমাসের উৎসব। | 8 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.7125006914138794,
0.7354781627655029,
0.21511699259281158,
0.25724026560783386,
-0.15674087405204773,
-0.9885629415512085,
0.4746684432029724,
0.3928338289260864,
-0.12359408289194107,
-0.19627705216407776,
-0.45479482412338257,
-0.05633656680583954,
-0.6585373878479004,
0.38361868262290... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Review: The hooks were separated from the body of three of the hangers during shipping and I was unable to reattach them. They went right into the garbage. I would not recommend this product at all.
Rating: 1
Output: | True | 1 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
0.22874876856803894,
-0.07176577299833298,
0.1550436019897461,
0.1102205291390419,
0.5634238719940186,
-0.2903105318546295,
0.8967728018760681,
0.7089800238609314,
-0.42537641525268555,
0.4135195016860962,
-0.6364063024520874,
-0.09274393320083618,
-0.4418719708919525,
0.17102307081222534,... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
One example: I stood upon the hearth-rug and picked up the stick which our visitor had left behind him the night before.
Solution is here: Minä seisoin matolla tulisijan edessä pitäen kädessäni keppiä, jonka eräs edellisenä iltana luonamme käynyt herra oli unohtanut.
Explanation: The English sentence contains all the keywords of the Finnish Sentence.
Now, solve this: "Well, it depends upon what you think worth reporting."
Solution: | "Se riippuu siitä, mitä te pidätte kertomisen arvoisena." | 6 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
0.087335005402565,
0.7318789958953857,
-0.17581483721733093,
-0.32405325770378113,
-0.06538606435060501,
-1.1069461107254028,
1.1509857177734375,
0.2732953429222107,
-0.23438113927841187,
-0.48889803886413574,
-0.019125841557979584,
1.518927812576294,
-1.227240800857544,
0.6685592532157898... |
Definition: Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to the completion should be as reasonable as possible. Generate either Completion A or Completion B.
Input: Prompt: Anybody who did is a bitch nigga for
Completion A: fuck's sake.""Dude, stop your bullshit, dude," a man repliesI'm doing this because I don't remember
Completion B: doing that to me," he continued. "When the cops came I went into my house, and they shot me." "They shot m
Output: | Completion B | 2 | NIv2 | task139_detoxifying-lms_classification_topicality | zs_opt | [
-0.2939579486846924,
0.025889206677675247,
0.24302586913108826,
-0.0022437474690377712,
-0.04735717922449112,
-0.5795798897743225,
0.786862313747406,
-0.11998774111270905,
0.19314423203468323,
-0.06499041616916656,
-0.7162557244300842,
0.264548659324646,
-0.28678005933761597,
0.06336560845... |
Q: 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.
रोहतक , हिसार , जीन्द , नाभा और पंजाब का पटियाला जिला इस नस्ल के श्रेष्ठतम प्रजनन प्रदेश हैं ।
A: | Hindi | 7 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.2387182116508484,
0.21144789457321167,
1.0459274053573608,
0.4514123797416687,
-0.03392861410975456,
-0.4476403594017029,
-0.3269432485103607,
0.3337135314941406,
0.1437569111585617,
-0.5669082403182983,
-0.7515072226524353,
0.0706176906824112,
-0.13607288897037506,
0.050387680530548096... |
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Example: How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of the draft today in US ?
Where is the oil plug in a 2004 Harley ?
Example solution: How many miles is 43560 ?
Example explanation: The output is from the list of given queries and it is not well structured and has grammatical errors when compared to other queries
Problem: How do you clean mold mildew from tile ?
13 gallon can equals how many liters ?
Where is your fuel filter on your lincoln ls 2000 ?
What experience would you need to become a pediatrician ?
| Solution: 13 gallon can equals how many liters ? | 5 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.37257516384124756,
0.22630912065505981,
-0.013901913538575172,
-0.11826726794242859,
-0.5194495916366577,
-0.23533013463020325,
0.4583754539489746,
-0.6928752660751343,
-0.4442698359489441,
-0.37570422887802124,
-0.24867749214172363,
0.09481082856655121,
-0.050415217876434326,
-0.0945109... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Example solution: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Example explanation: The Farsi sentence is correctly translated into Polish, because the meaning is preserved.
Problem: برای نمایش استرس هستیم.
| Solution: Stosujemy tzw. dostosowanie ciała. | 5 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3057582974433899,
0.9398015737533569,
0.4155201017856598,
-0.08863330632448196,
-0.5480337142944336,
0.2590540945529938,
1.3864221572875977,
-0.05415422469377518,
0.189410999417305,
-0.6360347270965576,
-1.103945255279541,
1.1266433000564575,
-0.6697938442230225,
0.5238620638847351,
0... |
Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Input: I would donate for an asylum for all these weird kids missing a gene.
Output: | hate | 3 | NIv2 | task1604_ethos_text_classification | zs_opt | [
0.012399585917592049,
0.42704933881759644,
0.64704430103302,
0.19821369647979736,
-0.7335993647575378,
-0.8776355981826782,
0.0022154515609145164,
0.9715319871902466,
0.20005367696285248,
0.13868574798107147,
-0.14788801968097687,
0.09590835869312286,
-0.38085663318634033,
-0.5171186327934... |
Detailed Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Problem:A Boy Scout camping in northern New Mexico died after being swept away by flood waters in the North Ponil Canyon early on Saturday morning. The flash flood hit unexpectedly in the middle of the night, around 4:30am near the Philmont Scout Ranch. 12 Scouts were in the middle of a 12-day trek across the ranch. Eight of the Boy Scouts were between 14 and 17 years old. A Scout Ranger and three adult Crew Leaders made up the rest of the team. State Police spokesman Chad Pierce told the Alberquerque Journal: 'As the floodwater swept through the canyon, it overran the Scouts' campsite, resulting in four Boy Scouts being swept away.'12 Scouts were taking part in a 12-day trek across the 214 square mile Philmont Scout RanchFlash flood occurred at around 4.30 a.m.Three of the Scouts were found by members of staff, but the fourth wasn't found until mid-morning
Solution: | 20,000 Scouts a year visit _ for backpacking treks, training and other programs. | 8 | NIv2 | task301_record_question_generation | zs_opt | [
0.3894365727901459,
-0.34571555256843567,
-0.704858660697937,
-0.3443577289581299,
-0.7457265853881836,
-1.0823066234588623,
0.10162117332220078,
1.0285639762878418,
-0.13334712386131287,
-0.16557630896568298,
0.655859649181366,
-0.2656993567943573,
-1.0942339897155762,
-0.1694025695323944... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
One example is below.
Q: Aquí esta la medusa ala-x de la muerte.
A: Qui c'è la medusa mortale con le ali ad X.
Rationale: The Spanish sentence is correctly translated into Italian, because the meaning is preserved.
Q: Se convierten en líderes comunitarias.
A: | Loro diventano dei leader all'intero delle loro comunità. | 9 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.01867252215743065,
0.7357978820800781,
-0.42625749111175537,
-0.28459563851356506,
-0.9095818996429443,
-1.0648759603500366,
0.2587021589279175,
0.9154218435287476,
0.036056630313396454,
-0.4493694305419922,
-0.2822861969470978,
0.28265851736068726,
-0.29191359877586365,
0.8436816930770... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: インスピレーションが失われたのだと
Output: | جعلتنا نتوقف عن إمكانية أن نصبح ملهَمين. | 3 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.5810803174972534,
-0.33651724457740784,
0.109354168176651,
-0.6370304822921753,
-0.14285340905189514,
-0.45071107149124146,
0.5912265777587891,
-0.338206946849823,
0.20038700103759766,
-0.420112669467926,
-0.44105252623558044,
-0.8456612825393677,
-0.45251625776290894,
0.262829244136810... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Problem:لا أنه أنه نباتي ليزا
Solution: | (mouth full) no, it's-- It's vegetarian, lisa. | 8 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.13003899157047272,
0.5087026953697205,
0.5733555555343628,
-0.37955594062805176,
-0.021570464596152306,
-0.3386250138282776,
1.099124789237976,
-0.07527706027030945,
0.17454013228416443,
-0.2427738755941391,
-0.5432378053665161,
0.24323627352714539,
-0.7840349674224854,
0.40438479185104... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Example Input: ৩.৬৬ লক্ষ কফি চাষি ৪.৫৪ লক্ষ হেক্টর জমিতে এই চাষ করেন।
Example Output: 66 کافی کاشت کاروں کے ذریعہ تقریباً4.
Example Input: প্রধানমন্ত্রী ফসল বিমা যোজনা সম্পর্কে প্রধানমন্ত্রীকে অবহিত করা হয় যে ২০১৬’র খরিফ মরশুমে এবং ২০১৬-১৭ অর্থ বছরের রবিমরশুমে ৭,৭০০ কোটি টাকার বিমা সংক্রান্ত দাবি দাওয়া ইতিমধ্যেই পূরণ করা হয়েছে ।
Example Output: پردھان منتری فصل بیمہ یوجنا کے سلسلے میں وزیراعظم کو مطلع کیا گیا کہ 2016 کی خریف فصل اور 17-2016 کی ربیع فصل کے 7700 کروڑ روپے سے زیادہ کی ادائیگی کردی گئی ہے اور اس سے 90 لاکھ سے زیادہ کسانوں کو فائدہ پہنچا ہے۔
Example Input: সংগ্রহালয় প্রসঙ্গে শ্রী নাইডু বলেছেন, এখানে জনপ্রিয় সিনেমা, চলচ্চিত্র অভিনেতাদের জীবন ও সঙ্গীত সম্পর্কে প্রদর্শিত বিষয়গুলি পরিদর্শকদের স্মৃতির অতলে নিয়ে যাবে।
Example Output: | نئی دہلی،26اپریل،نائب صدر جمہوریہ ہند جناب ایم وینکیانائیڈو نے آج ممبئی میں نیشنل میوزیم آف انڈین سینما کا دورہ کیا اور کہا کہ اس میوزیم کی نمائش یہاں آنے والوں کو اپنی پسندیدہ فلموں، اداکاروں اور موسیقی کی یادوں کی وادیوں میں لے جائے گی۔
| 3 | NIv2 | task1069_pib_translation_bengali_urdu | fs_opt | [
-0.888350784778595,
0.4225994944572449,
-0.2684743404388428,
0.1722579151391983,
-0.47427988052368164,
-0.1399720013141632,
0.4025891423225403,
0.8772664070129395,
-0.24452897906303406,
-0.14825230836868286,
-0.9221242070198059,
0.4204614460468292,
-0.27384909987449646,
-0.0444633588194847... |
instruction:
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.
question:
@chelseafc let them know it's the #blues
answer:
Sad
question:
It is a solemn thing, and no small scandal in the Kingdom, to see God’s children starving while seated at the Father’s table. -AW Tozer
answer:
Not sad
question:
Just a side #thought, everything takes #time and #effort ... #annoyed
answer:
| Sad
| 9 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.2444164752960205,
0.04475010558962822,
0.3405652642250061,
0.061411552131175995,
-0.10059816390275955,
-0.9046580195426941,
0.9567553997039795,
0.19668516516685486,
0.4462513029575348,
0.6054765582084656,
-0.17069125175476074,
-0.14813894033432007,
-0.2546647787094116,
0.429576754570007... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
[EX Q]: He said building by residents between wooded areas was a "crime" that had resulted in blocking escape routes. Mr Kammenos was confronted by angry locals as he visited areas devastated by fires east of Athens this week. At least 83 people died and search teams fear they will find further victims as dozens more are missing. Dozens of rescue workers searching a cliffside in the seaside town of Mati on Thursday found more human remains. Many of the victims were caught close to the cliff as the flames spread rapidly, whipped up by winds as high as 120km/h (75mph). Relatives have been providing their DNA to help identify the bodies of the victims. Some 60 people are still being treated in hospital, 11 of them in intensive care. 'You left us alone' Arriving in the village of Mati, where many people died, Mr Kammenos was surrounded by residents who accused him of abandoning them. "You let people burn for no reason. You left us to the mercy of God," a woman told the minister, who was accompanied by the local mayor and the head of the military, One man told the BBC he had reached the fire station to ask for help, and found firefighters unaware of the blaze. Another resident complained that people had been advised to dive into the sea to escape, when most of the elderly were unable to reach the sea in the first place. Many of the survivors were saved by the sea, but dozens of victims were unable to reach the water. Mr Kammenos, a combative figure who leads the nationalist Independent Greeks, rejected accusations that the government had failed to protect its citizens. The actions of some residents had closed the roads to the beach, he argued. "This is a crime from the past," he said. "This coast of Athens, all these properties, the majority are without a licence, and they have occupied the coast without rules." Rafina Mayor Evangelos Bournous said one in four houses had been completely destroyed by the fire, while 50% more were partially damaged. A satellite map of the area revealed the scale of the fire damage, showing that more than half the 12,760 acres affected were residential areas. The mayor defended the role of the military, arguing that if the army had not been able to stop the fire spreading, it would have razed the entire area. With many people still unaccounted for, a harrowing account emerged from the head of the Greek forestry federation, Georgos Papadias, who said firefighters had focused their resources on a separate fire to the west of Athens, leaving the East Attica coast exposed. A scene of chaos with no evacuation Mr Papadias had been in the village of Kokkino Limanaki, on the southern edge of Mati when the fire struck. It was like a horror movie, he said, with injured and elderly pleading for help, and he was not being in a position to do anything, No alarm was sounded to warn residents or tourists, and no evacuation was organised from the coastal resorts of Maki and Kokkino Limanaki and the village of Neos Voutzas just inland. But once the fire crossed the main road through the area, Marathon Avenue, residents had no means of escape. Greek newspapers complained that residents could have no confidence in official organisations as civil protection was non-existent, and no lessons had been learned since the last devastating fires to hit Greece, in 2007. Mr Papadias spoke of cars blocking the roads as he tried to escape. He said he had lost neighbours to the disaster and a friend was in a grave condition in hospital. Among the missing are twin nine-year-old girls Vassiliki and Sofia Philippopoulou, who were with their grandparents near Mati at the time of the fire. The girls' father said he thought he had seen them being rescued in footage broadcast by Greek TV. However, the children in the video turned out to be different girls.
[EX A]: Greek fires: Residents 'worsened disaster' by illegal building
[EX Q]: Analogue listening declined year-on-year by 10.4%, accounting for 50.4% of overall listening, Rajar figures show. "We are now counting down to the moment when the majority of all radio listening will be to digital," Digital Radio UK chief, Ford Ennals, said. Some 30 million people (aged 15+) now tune into digital radio each week. "The 12.5% annual growth in digital listening hours to nearly 42% share is the strongest we have seen for two years," Ennals said. "The shift to digital listening is accelerating across the UK and the fact listening on analogue platforms has declined to just over 50% of people is a tipping point." A further 7.7% of radio listening was listed as "unspecified" by respondents to the Rajar survey. The rise in digital listening was reflected in record figures for BBC digital-only radio stations between July and September. BBC Radio 4 Extra attracted an average 2.20 million listeners per week - a rise of 35% on the same period last year - to become the largest digital-only channel in the UK. BBC Radio 5 live sports extra saw its audience jump 42% to 1.73 million listeners, with 2.19 million listeners tuning into BBC 6 Music. Overall, BBC Radio 2 had the biggest weekly reach for any UK radio station with 15.4 million listeners - a new record for the period. The Heart network had the highest audience for a commercial UK station with 9.1 million weekly listeners. Chris Evans's Radio 2 breakfast show continued its success as the most popular morning programme with 9.4 million listening each week. In London, Kiss was number one commercial radio station in London with 2.1 million weekly listeners. It overtook rival Capital by 3,000 listeners, which lost 5.2% of its audience over the quarter. Despite Capital's breakfast show suffering a 14% drop of listeners from 1.15m to 980k, it is still the most popular show in London.
[EX A]: Digital radio is at 'tipping point' to overtake analogue
[EX Q]: Laura KuenssbergPolitical editor@bbclaurakon Twitter But the widespread nature of allegations of bullying and harassment was genuinely shocking when it emerged, as was the nature of some what we heard. The scandal ended the cabinet careers of Damian Green and Michael Fallon. MPs vowed never again. Many months later, Parliament, led by Commons leader Andrea Leadsom, who has been pushing a cross-party effort to clean up the mess, is about to publish its proposals for change. There are already worries that the changes simply don't go far enough as my colleagues at Newsnight, who have done so much to reveal what's being going on, have discovered. Many months on I spoke to three of the young activists who were brave enough to go public with their allegations at the time. And they are frustrated. They have supported the process that Parliament has been pursuing but were deeply sceptical about whether anything would actually change. Depressingly, they told me that since they went public, others have confided in them about bullying or harassment by other MPs, sometimes frontbenchers, but are still too scared to come forward. James Greenhalgh, who alleged that he had been sexually assaulted while working as an intern, told me there were "forces trying to scupper the system". He told me it felt like "when allegations emerged, the tide went out and exposed the nasty rock pools but the tide has come back in and no-one is acting because they can't see it". Kate Maltby, whose allegations led to the resignation of Theresa May's number two, Damian Green said, "everyone is looking away, because it's like expenses, if you dig too closely, everyone thinks they could lose". Ava Etemadzadeh, whose complaint against a Labour MP is still being investigated months on, said the proposals being put forward by Parliament were welcome, but too little too late. You can hear the three of them reflecting together on what's happened since on the Today programme. And from Andrea Leadsom who, despite some resistance in Parliament, is determined to push the proposals forward and win the vote next Thursday. That's when we'll know if Parliament is genuinely determined at least to begin a clean up when MPs vote to approve, or reject, those cross-party proposals. Whether the testimonies of those who risked their own reputations will be forgotten, or provide the script for change.
[EX A]: | Is Westminster culture really changing?
| 6 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.5866761207580566,
0.44725239276885986,
-0.5029328465461731,
-0.6741188168525696,
0.607278048992157,
-1.018395185470581,
0.8471126556396484,
1.074018955230713,
-0.46649307012557983,
0.6951271295547485,
0.027938254177570343,
0.6041631102561951,
-0.8439760208129883,
0.16075173020362854,
-... |
TASK DEFINITION: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
PROBLEM: Paragraph: The closer objects are to each other, the stronger the gravitational force between them.
Question: When a star is moving away from a planet, the star will be pulled into it if the gravitational force is
Choices: A)weaker
B)stronger
SOLUTION: weaker
PROBLEM: Paragraph: If salt is added to a volume of water, there are more molecules in the same volume, so the water is denser.
Question: If Milo wants to make his water saltier and begins adding salt to the glass, what happens to the density of the glass of water?
Choices: A)decreases
B)increases
SOLUTION: increases
PROBLEM: Paragraph: Alkanes with more carbon atoms have higher boiling and melting points, so some of them are solids at room temperature.
Question: If Milo removes carbon atoms from his alkane while working in his science lab, what happens to the melting point of that alkane?
Choices: A)increases
B)decreases
SOLUTION: | decreases
| 8 | NIv2 | task1731_quartz_question_answering | fs_opt | [
0.5193665027618408,
0.741474449634552,
-0.45553016662597656,
-0.29573774337768555,
-0.2997380793094635,
-0.7457575798034668,
0.6597354412078857,
0.26764392852783203,
-0.09110550582408905,
-0.3377358913421631,
-0.5252907276153564,
0.2736368775367737,
-1.0781819820404053,
0.24921956658363342... |
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.
One example: 5 + 3
Solution is here: 2
Explanation: Here, '+' represents subtraction operation. So, the answer is 2 (5-3=2).
Now, solve this: 8531 + 1008 + 8069 - 7357
Solution: | 6811 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.23978924751281738,
-0.04626907408237457,
-0.8616024851799011,
0.30030563473701477,
0.06496471166610718,
-0.26177501678466797,
0.7761025428771973,
1.3244247436523438,
0.43726247549057007,
-0.3444030284881592,
-0.5742287635803223,
-0.5064469575881958,
-0.4849214553833008,
0.25310599803924... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example: Person1: Are you ready to order , sir ?
Person2: Yes , I'll have tomato soup and my friend will have mushroom soup .
Person1: Do you want anything to go with soup ?
Person2: Yes , bring us two steaks and two loads of bread , please .
Example solution: 0
Example explanation: This conversation is neutral as it is a customer ordering a dish. Therefore this is not classified as a strictly positive emotion in the conversation.
Problem: Person1: Well , that was an interesting documentary !
Person2: For sure ! I didn ’ t really understand some of the technical jargon they used in the film when they talked about social security in the US .
Person1: Like what ?
Person2: Well , they mentioned how people put away money in something called a 401K ?
Person1: Yeah , I know it sounds weird , but a 401k is a type of retirement plan that allows employees to save and invest for their own retirement . Through a 401K , you can authorize your employer to deduct a certain amount of money from your paycheck and invest it in the plan . Everyone tries to contribute as much as possible so that when you retire , you can rest peacefully on your nest egg .
Person2: That ’ s interesting and logical I guess . In my country , we also have to contribute to a government-run retirement fund , but most people don ’ t really trust it so they just invest in properties or things like that .
Person1: That seems a bit unstable don ’ t you think ?
Person2: Yeah , but corrupt governments in the past have created distrust among banks and financial institutions , so now people prefer to have money hidden in a jar or a piggy bank .
Person1: I ’ Ve been thinking of doing that lately ! I don ’ t want some banker to run off with my money !
| Solution: 0 | 5 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.07678528130054474,
-0.24605223536491394,
0.15522339940071106,
0.047255340963602066,
0.07991676032543182,
0.18493354320526123,
1.0052502155303955,
0.6663486361503601,
-0.27888673543930054,
-0.09039554744958878,
0.33178529143333435,
-0.516552209854126,
-0.5085365176200867,
0.13533577322959... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "man".
Q: W: Look! The boy is calling for help. M: Oh, yes. He fell into the river.
A: | What is the accident? (A) A boy fell into the river. (B) A boy's bike is broken. (C) A boy was hit by a car. | 4 | NIv2 | task246_dream_question_generation | zs_opt | [
0.11405812948942184,
0.9083553552627563,
-0.3430922031402588,
-1.127363920211792,
0.4059032201766968,
-0.07670857012271881,
0.7574976682662964,
0.04643211141228676,
0.2913903594017029,
-0.46087923645973206,
-0.4962233304977417,
-0.08830665051937103,
0.26893559098243713,
-0.2532443404197693... |
Part 1. Definition
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.
Part 2. Example
Who were the builders of the mosque in Herat with fire temples ?
Answer: Ghurids
Explanation: This is a good example. Ghurids were the builders of the mosque in Herat with fire temples.
Part 3. Exercise
Who are the two longest running actors in the series . ?
Answer: | Dennis Franz | 7 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.2608851492404938,
0.7744715213775635,
0.06070913374423981,
-0.36600345373153687,
-0.5492961406707764,
-0.0946379154920578,
0.6649337410926819,
-0.12304270267486572,
0.09500133991241455,
-0.30926012992858887,
-0.7194643020629883,
0.10421357303857803,
-1.0174648761749268,
-0.4703375697135... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public schools. Public libraries not only lend books, music records but also help children, patients in hospitals and others to get special play readings, film shows and so on. The first public libraries were founded in about the year 1850. Today's public libraries usually have a reading-room, a lending room and a reference room. The greatest and most famous library in Britain is that of the British Library in London. It was founded in 1973 and has over 10, 000, 000 books. It has nearly every magazine, newspaper and book published in Britain and other parts across the world.
Answer: 10,000,000 or less.
Solution: How many books are there in the British Library?
Reason: In the Article, 10,000,000 is mentioned for the number of books available in the British Library, so this is a good question.
Now, solve this instance: Article: Childhood was an illusion and the illusion was this: everything was bigger. No, I mean everything, not just houses and shops and grown-ups, but colors and flowers and journeys, especially journeys which seemed endless. "Are we there yet, Daddy?" Funfairs were huge things that spread for miles around you with noise and lights and exciting danger. Rainy days at home when you were ill seemed to last for ever. Being a grown-up yourself was an unthinkable distant possibility. Every sound was louder, every game was grander, every pain unbearable. As I've grown old, life has become smaller. Tastes have dulled. Surprises have turned into shocks. Days go by unnoticed. How can I regain childhood when it was an illusion? I have only one repeatable and wonderful way and even in this way I can regain only part of that larger world. I can play upon the stage like a child and make the crowd laugh and laugh with them, sometimes helplessly like a child, and then, even though I'm a sixty-one-year-old man, I can almost catch the colors and sounds and stillness of those bigger years when I was little.
Answer: He misses it as a grown-up
Student: | How does the author feel about his childhood? | 2 | NIv2 | task311_race_question_generation | fs_opt | [
0.10924060642719269,
0.4093196988105774,
-0.2904614508152008,
-0.46439266204833984,
0.7008463144302368,
-0.21339967846870422,
0.7862848043441772,
0.38304203748703003,
0.5164408683776855,
-0.5451195240020752,
-0.4526313543319702,
0.6567332148551941,
-1.8125145435333252,
0.14780378341674805,... |
Instructions: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
Input: ["City Centre's one star pub, The Waterman, is located along the river on the north side of town.", "Alan Bean graduated from UT Austin in 1955 with a Bachelor of Science degree. He was hired by NASA in 1963 and served as a test pilot. Apollo 12's backup pilot was Alfred Worden and was commanded by David Scott."]
Output: | DISSIMILAR | 3 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.18593692779541016,
0.6647299528121948,
0.07302238047122955,
-0.8558449745178223,
0.2024192214012146,
0.13395850360393524,
1.1224112510681152,
0.6087737083435059,
0.8065096139907837,
0.22835008800029755,
-0.05342256277799606,
-0.47054997086524963,
-0.838342547416687,
0.316206157207489,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX asks PersonY's boyfriend<sep>Tail: get an answer
Output: | No | 1 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.14725995063781738,
0.009601171128451824,
0.7277249693870544,
-0.19423100352287292,
-0.0782313197851181,
-0.9794354438781738,
1.0603647232055664,
0.6890240907669067,
-1.0496097803115845,
-0.5566772222518921,
-0.3718567490577698,
-0.5371691584587097,
-0.4624136686325073,
0.1465381234884262... |
Teacher: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Teacher: Now, understand the problem? If you are still confused, see the following example:
you have encouraged me thank you for sharing
Solution: Hope Speech
Reason: The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expected language
Now, solve this instance: @Ming Tian I'm with you sis I'm half Asian and latinos is time to stand up for our other minorities ouse they matter as well ALL LIVES MATTERS
Student: | Hope Speech | 2 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.058728642761707306,
-0.21792389452457428,
0.16718457639217377,
0.03855089470744133,
-0.4534722864627838,
-1.1352005004882812,
-0.05738740414381027,
0.8249239921569824,
0.3229268789291382,
0.2516498565673828,
0.023426823318004608,
-0.14519570767879486,
-0.24342423677444458,
-0.0670102462... |
TASK DEFINITION: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
PROBLEM: yikes you can see the insanity on their faces and all men flocking together as if for security i bet a crowd of those muslim women would beat the hell out of a few of these pathetic muslim wimpy looking excuses for men
SOLUTION: insanity on their faces
PROBLEM: these hoes so worsome
SOLUTION: hoes
PROBLEM: feargodnotdeath this nigger tried calling me out omg wtf is wrong with retard kids
SOLUTION: | nigger
| 8 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.13036221265792847,
0.8593977093696594,
0.2671660780906677,
0.35067009925842285,
-0.3131284713745117,
-0.15249842405319214,
0.46285706758499146,
0.7526680827140808,
0.6313402652740479,
0.3930434584617615,
-0.6610392928123474,
-0.32904866337776184,
-0.11619554460048676,
-0.573293685913085... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
One example is below.
Q: bYubMFxyTqR, AcDbMFxSnI
A: bYubfmxyTqR, AcDbfmxSnI
Rationale: Here, 'bMFx' is the longest common substring in both the input strings 'bYubMFxyTqR' and 'AcDbMFxSnI'. Sorting it and converting to lowercase gives 'bfmx'. Replacing 'bfmx' instead of 'bMFx' in the two strings gives 'bYubfmxyTqR' and 'AcDbfmxSnI'
Q: uIuYJRQfzMjDIyvpwGb, AIFJRQfzMjDIHeBFXlfoe
A: | uIuYdfijjmqrzyvpwGb, AIFdfijjmqrzHeBFXlfoe | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.7592499256134033,
0.4567300081253052,
-0.27313232421875,
-0.08937285095453262,
0.3954518437385559,
-0.4700150787830353,
0.5443001389503479,
0.22124344110488892,
0.022370649501681328,
0.29129910469055176,
-0.7012777924537659,
-0.4766886532306671,
-0.3528616428375244,
0.23223668336868286,
... |
Teacher: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related to sports. Label the text "2" if it contains information related business. Label the text "3" if it contains science or technical related information.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The Race is On: Second Private Team Sets Launch Date for Human Spaceflight (SPACE.com) SPACE.com - TORONTO, Canada -- A second team of rocketeers competing for the #36;10 million Ansari X Prize, a contest for privately funded suborbital space flight, has officially announced the first launch date for its manned rocket.
Solution: 3
Reason: This statement indicates that it is related to space which is in fact related to science. This is a positive example because the label correctly classifies the statement as science.
Now, solve this instance: Liverpool, Man United reach League Cup quarter-finals Big guns Liverpool and Manchester United reached the League Cup quarter-finals on Wednesday with 2-0 wins over holders Middlesbrough and an under-strength Crystal Palace
Student: | 1 | 2 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.6868896484375,
0.49838927388191223,
0.04050535708665848,
0.18836179375648499,
0.2687114477157593,
-0.19114723801612854,
-0.3522951304912567,
0.7536389827728271,
-0.038438864052295685,
-0.12607884407043457,
-0.2323053926229477,
0.40644723176956177,
-0.33495551347732544,
-0.45063465833663... |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Q: who has played edward quartermaine on general hospital?
A: | David Lewis | 9 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.11707353591918945,
1.3736985921859741,
-0.22455960512161255,
-1.740620732307434,
-0.005648519843816757,
-0.3607511520385742,
0.9568153619766235,
-0.30695897340774536,
-0.10336103290319443,
-0.39052197337150574,
0.6464344263076782,
0.11791390180587769,
-0.8383705019950867,
-0.42735317349... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Q: [6.117, 4.736, 237.315, 141.33, 160.713]
A: | 110.042 | 4 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.564685583114624,
0.7870535254478455,
-0.6659470796585083,
-1.7004132270812988,
-0.18775327503681183,
0.45117640495300293,
0.6565128564834595,
-0.18301522731781006,
-0.18749487400054932,
0.17109140753746033,
-0.6748757362365723,
1.188088297843933,
-0.7670738697052002,
0.21663260459899902... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
拘束されている被疑者の兄弟であるOmarMerhiは声明で、「私の兄弟も逮捕された他の人たちも混乱しており、宗教活動をしただけで、なぜ自分達がオーストラリアで最高レベルの警備の部署にいるのか知りたがっている」と語った。 | Si Omar Mehri, ang kapatid na lalaki ng isa sa naatraso ay nagsabi sa isang pahayag "Ang aking kapatid na lalaki at ibang mga naarestong lalaki ay lito at nais malaman kung bakit sila ay nasa pinakamataas na yunit ng seguridad ng Australia para lamang sa paggamit ng kanilang relihiyon." | 0 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.2284407913684845,
0.14196458458900452,
-0.5298004746437073,
-0.5673720836639404,
-0.4163142740726471,
-0.5418227910995483,
0.5637209415435791,
0.16555175185203552,
0.14009612798690796,
-0.05128295719623566,
-1.0839579105377197,
0.32774949073791504,
-1.138291358947754,
0.25403112173080444... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: calculate.
Question: We used an abacus to calculate rather than a computer, as the _ was reliable to do it right.
Answer: abacus.
We used an abacus to calculate rather than a computer, as the _ was unfit to do it right.
Context Word: garden.
Question: The butterflies preferred to spend time in the garden compared to the shed. They probably liked the fresh air of the _ .
Answer: garden.
The butterflies preferred to spend time in the garden compared to the shed. They probably disliked the stale air of the _ .
Context Word: provide.
Question: The father had to provide for them, but his job didn't give him the time or money. The _ mattered more to him.
Answer: time.
| The father had to provide for them, but his job didn't give him the time or money. The _ mattered less to him.
| 0 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.8073498010635376,
0.38011687994003296,
-0.12944702804088593,
-0.0941288098692894,
0.6210603713989258,
-0.7146729230880737,
1.0395416021347046,
1.0966557264328003,
-0.6738394498825073,
-0.09014721214771271,
-0.45575904846191406,
0.1535101979970932,
-0.5256521701812744,
0.07675975561141968... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Let me give you an example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
The answer to this example can be: Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Here is why: The translation is precise, fluent and formal
OK. solve this:
బావుంది, చాలా కృతజ్ఞతలు.
Answer: | Well, thank you very much. | 8 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.36882317066192627,
1.159332275390625,
0.4263991713523865,
-0.07333450019359589,
0.024673879146575928,
-1.1632986068725586,
-0.3166761100292206,
-0.13434605300426483,
-0.6160333156585693,
-0.5940182209014893,
-0.3606414198875427,
-0.163686603307724,
-0.40060245990753174,
-0.3094146251678... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in English, and your task is to translate it into Persian.
It reminded him of his first fight, when he was six years old,
Output: | این حالت او را به یاد نخستین دعوایش انداخت زمانی که شش ساله بود، | 1 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
0.17276449501514435,
1.280189871788025,
-0.12085235863924026,
-0.7763420343399048,
-0.4649937152862549,
-0.020171839743852615,
1.3613911867141724,
0.8533998727798462,
0.7331461906433105,
0.1393689066171646,
-0.534338653087616,
0.30029988288879395,
-1.5493371486663818,
-0.18706950545310974,... |
Definition: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should be fluent and grammatically correct. Even though there exist multiple answers, we only need a single answer.
Input: Premise: بنابراین افرادی که در هوای گرم فعالیت های سنگین دارند، در معرض حمله قلبی قرار می گیرند. <sep> Label: Contradiction
Output: | بنا به یافته های اخیر، افزایش دما تاثیری در سلامت کارگران ندارد | 2 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-0.9667627811431885,
0.30516695976257324,
0.2834702432155609,
0.1778549700975418,
-0.17641077935695648,
-0.6304210424423218,
0.6851295828819275,
0.26569628715515137,
0.29059717059135437,
-0.4203624427318573,
-0.8759806752204895,
0.32679179310798645,
-0.5684064626693726,
-0.0252401307225227... |
Teacher: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Alphonse feels anxious.
Solution: fear
Reason: Anxious is a negative emotion that can very well fall under the category of FEAR.
Now, solve this instance: I made Adam feel fearful.
Student: | fear | 2 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.36948469281196594,
0.2942865192890167,
0.6435482501983643,
-1.1123723983764648,
-0.16633707284927368,
-0.44565874338150024,
0.9221517443656921,
0.6507189869880676,
-0.0557820163667202,
-0.1646401584148407,
-0.5607275366783142,
-0.5917990207672119,
-0.6729468107223511,
-0.556659340858459... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Example input: Fact: pesticides can harm animals.
Question: What can harm animals?
Example output: pesticides.
Example explanation: The answer is present in the span of the fact.
Q: Fact: Vehicles are used to move people and goods.
Question: What is used to move people and goods?
A: | vehicle. | 3 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.3424573540687561,
0.7886931300163269,
-0.1494632065296173,
0.39972448348999023,
-0.3741488754749298,
-1.1539549827575684,
0.26839494705200195,
0.3826541602611542,
-0.3175680935382843,
-0.2483615130186081,
-1.3596512079238892,
0.6444166302680969,
-0.24938291311264038,
-0.15593266487121582... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. 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.
Problem:Head: theatre<sep>Tail: see opera
Solution: | Yes | 8 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.6199573874473572,
0.6988985538482666,
0.1820376068353653,
0.18046033382415771,
-0.4029525816440582,
-0.7905732989311218,
0.860267162322998,
0.3714088201522827,
-0.3239777088165283,
-0.3155331313610077,
-0.22878722846508026,
-0.806147575378418,
-0.1737874448299408,
0.27356022596359253,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example Input: E, frequentemente, a violência é uma forma de lidar com a situação.
Example Output: ולעיתים קרובות הם מתמודדים דרך אלימות.
Example Input: Em África, uma cobra que podia fazer o solo fumegar.
Example Output: באפריקה, על נחש שיכל לגרום לאדמה לעשן.
Example Input: Em vez disso, encontrei jovens mulheres inteligentes e engraçadas, corajosas e generosas.
Example Output: | במקום זה גיליתי צעירות פקחיות וכיפיות, ואמיצות ונדיבות.
| 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.3995908200740814,
0.41042158007621765,
0.1940646916627884,
-0.4844219386577606,
-0.56964111328125,
-0.30884283781051636,
0.6775208711624146,
0.44963592290878296,
0.6989848017692566,
-0.1982429027557373,
-1.004254698753357,
0.19830748438835144,
-0.8982337713241577,
-0.17876507341861725,
... |
Definition: Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Input: Достаточно вспомнить то, что Турция впервые подала прошение о вступлении в 1959 году и что с 1963 года Европейское экономическое сообщество – предшественник сегодняшнего ЕС – отвечало выжидательной тактикой: просьбой о таможенном соглашении.
Output: | Russian | 2 | NIv2 | task1370_newscomm_classification | zs_opt | [
-0.26956695318222046,
0.09396043419837952,
0.7177613377571106,
0.45236605405807495,
0.4604511260986328,
-0.0011222269386053085,
0.23128581047058105,
0.48530763387680054,
0.3147193193435669,
0.39183059334754944,
0.12773215770721436,
0.15158754587173462,
-0.5792558789253235,
0.24066287279129... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: It is also important to bear in mind that there are a wide range of measures, which can be taken in applying the precautionary principle.
Student: | Det är också viktigt att komma ihåg att det finns ett brett urval av åtgärder som kan vidtas vid tillämpning av försiktighetsprincipen. | 6 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.1497986763715744,
0.6603806614875793,
0.47219032049179077,
-0.9700100421905518,
0.19933170080184937,
-0.5998204946517944,
0.964959979057312,
0.7844390869140625,
0.1423671692609787,
0.030946899205446243,
-0.39765626192092896,
0.4290080666542053,
-0.7415101528167725,
-0.6282260417938232,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Input: Consider Input: Reviews: It was too metallic and shiny. Could barely see the beautiful colors when there is light. It looked more matte in the photos.
Summary: Could barely see the beautiful colors when there is light
Output: True
Input: Consider Input: Reviews: Drys out hair I always try these types of products to see if they strengthen natural or regular hair. Didn’t do that for me personally. Maybe it helps hair loss I really don’t know.
Summary: I don't even use this anymore because it was dirty and when I tried to clean it won't
Output: False
Input: Consider Input: Reviews: Ok, the appliance works great, except the hose gets brittle and breaks. Try to get a new one and the company doesn't sell it directly, have to go through an appliance repair place, even though I assembled the hose on the bissel in the first place. There's no repair place nearby so I'm SOL. So the thing works fine except a cracked hose, which I've tried to patch together with electrical tape that leaks.
Summary: Horrible! I ordered two set of these dining chairs ...
| Output: False
| 2 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.3273254632949829,
0.43309658765792847,
-0.6221878528594971,
-0.5298235416412354,
-0.20268994569778442,
-0.2737663984298706,
0.5880253314971924,
1.1433846950531006,
-0.40229037404060364,
0.6859369277954102,
-0.2699488699436188,
-0.20792865753173828,
-0.20365378260612488,
-0.0829180553555... |
Given the task definition and input, reply with output. Given a sentence in German, generate a new German 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.
Du würdest eine Paniknummer besuchen, weil du jemanden anrufen willst.
| Du würdest eine String-Nummer lernen, weil du jemanden anrufen willst. | 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.4971175789833069,
0.8618650436401367,
0.5446491241455078,
-0.4803009629249573,
-0.07904358208179474,
0.022851040586829185,
0.7907873392105103,
0.5141570568084717,
0.23035436868667603,
-0.034206993877887726,
-1.022931694984436,
0.20204028487205505,
-0.8368549942970276,
0.0093928053975105... |
Teacher:In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Teacher: Now, understand the problem? Solve this instance: 271 - 676 + 4308 - 4228 - 1426 + 841 - 8240 + 3918
Student: | 5774 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.7169338464736938,
-0.1368207186460495,
-1.0283970832824707,
-0.013640467077493668,
-0.41907209157943726,
0.28903305530548096,
1.0286691188812256,
0.811622142791748,
0.14750680327415466,
-0.6493769884109497,
-0.3737279176712036,
-0.23840606212615967,
-0.47241634130477905,
0.0938599780201... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
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 the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Command: most_eq { all_rows ; station type ; relay }, interpretation: select the row whose no in series record of all rows is 1st maximum . the family / families record of this row is the williams family . | no | 0 | NIv2 | task211_logic2text_classification | zs_opt | [
0.019514355808496475,
-0.2215607762336731,
-0.2949988543987274,
0.34229427576065063,
0.42094022035598755,
-0.43851256370544434,
0.3218690752983093,
0.6126354336738586,
0.1783549040555954,
-0.10916753858327866,
-0.5121984481811523,
0.1358242630958557,
0.16158795356750488,
0.3546572625637054... |
Given the task definition, example input & output, solve the new input case.
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.
Example: [-83, 53, -48, 8]
Output: [-80, 50, -50, 10]
The output correctly rounds each integer in the input list to the nearest ten. So this is a good example.
New input case for you: [804, -79, 915, 626, -236, -3, -15, 499, -988, -349, -839, 530, -221, 640, -808]
Output: | [800, -80, 920, 630, -240, 0, -20, 500, -990, -350, -840, 530, -220, 640, -810] | 1 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.571560263633728,
0.3847358822822571,
-0.4391651451587677,
0.1381503939628601,
0.04347455874085426,
-0.29239970445632935,
0.46972256898880005,
0.5334429740905762,
-0.2169981151819229,
0.23592057824134827,
-0.4047091007232666,
-0.23900946974754333,
-0.22297964990139008,
0.1303237676620483... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Vietnamese, generate a new Vietnamese 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.
Ai cũng thích ăn ở quán rượu, nhưng không sao đâu.
Output: | Mọi người thích thuê nhà hàng nhưng nó đắt lắm. | 1 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.06750717014074326,
0.2571876645088196,
-0.07513893395662308,
-0.030795935541391373,
-0.22505047917366028,
-0.19002050161361694,
0.737671971321106,
0.9251164197921753,
0.10169465839862823,
-0.021778181195259094,
-0.49142348766326904,
-0.6078585386276245,
-0.4653831124305725,
0.38196507096... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Example input: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
.
Example output: a
Example explanation: The passage describes the 704th's actions during Operation Market Garden so only information about the operation is needed.
Q: Question: Who was the coach of the NCAA Niagara Purple Eagles women's ice hockey team when Ashley Riggs began playing for them? Passage:Amongst their numerous team alumni, Ashley Riggs graduated to the NCAA Niagara Purple Eagles women's ice hockey team in 2004, before jumping to the National Women's Hockey League and later the Canadian Women's Hockey League. As a member of the Under-22 Canada national women's ice hockey team Riggs competed in four Air Canada Cups, winning Gold in three of them. Natalie Spooner graduated to the NCAA Ohio State Buckeyes women's ice hockey team in 2008. She has competed in multiple IIHF events as a member of the Women's National Team and plays in the CWHL as a member of the Toronto Furies. In 2008, Jenn Wakefield graduated to the NCAA New Hampshire Wildcats program. After two seasons she switched to the Boston University Terriers women's ice hockey team. Wakefield is a National Team member and has played in the CWHL with the Vaughan Flames and now with the Toronto Furies. Tara Watchorn also graduated to NCAA in 2008 with the Boston University Terriers women's ice hockey team. She made her debut with the Canadian National Team in 2010 and plays for the Calgary Inferno of the CWHL.
A: | a | 3 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.6170028448104858,
-0.08999159932136536,
-0.9439176321029663,
0.05243393033742905,
0.5577658414840698,
-0.7265598177909851,
1.1948728561401367,
1.0678174495697021,
0.005534471943974495,
0.06172153353691101,
-0.3291586935520172,
0.029256708920001984,
-0.47632351517677307,
0.091856360435485... |
Detailed Instructions: In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:Handlung: ok - Wortwahl: unterhalb der Gürtellinie . Beim ersten Ansehen hatte sich die Sache schon nach wenigen Minuten erledigt. Wegen der Wortwahl, die in die unterste Schublade gehört, flog die DVD schon nach ca. 20/25 Minuten aus dem Player und wurde durch einen "schöneren" Film ersetzt. Nachdem mich eine Freundin dahingehend überzeugt hat, dass die schmutzige Ausdrucksweise nach ca. 30/35 Minuten humaner und aus dem anfänglichen Drama mit der Zeit eine richtig nette Komödie wird, hab ich mir irgendwann doch noch den Rest angesehen. Der war dann, nachdem das erste Drittel überstanden war, auch ganz ok. Fazit: Auf Grund der derben Wortwahl im ersten Drittel sicher nicht für 6jährige geeignet, die jedes neue Wort aufschnappen. Ebensowenig für Leute, die diverse Begriffe aus dem Genetalbereich eher nicht zu ihrem Sprachgebrauch zählen. Daher nur 2 Sterne!
Solution: | NEG | 8 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.3751518726348877,
0.5170122385025024,
-0.04128172621130943,
0.041375622153282166,
-0.6078963875770569,
0.3364855647087097,
1.305632472038269,
0.7242738008499146,
0.21108105778694153,
0.4520883560180664,
0.024261169135570526,
-0.16440314054489136,
-0.6557508707046509,
-0.4971064329147339... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Sentence1: I used to make fun of my wife for having a nightlight. Sentence2: She was out of town a few days and I went to sleep without it. Sentence3: When I woke up in the middle of the night to get water I tripped. Sentence4: I couldn't see the clothes on the ground and got a bad bruise.
(A) I decided to permanently get rid of the nightlight. (B) I never made fun of my wife and her nightlight again.
Output: | A | 1 | NIv2 | task297_storycloze_incorrect_end_classification | zs_opt | [
-0.12946593761444092,
1.2882146835327148,
-0.12355146557092667,
-0.5267232656478882,
-0.05460542067885399,
-0.29212236404418945,
1.0794122219085693,
0.26898783445358276,
0.12691667675971985,
-0.17268113791942596,
-0.6495491862297058,
-0.34568843245506287,
0.03407267853617668,
-0.4027997851... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Example: Qui c'è la medusa mortale con le ali ad X.
Output: Aquí esta la medusa ala-x de la muerte.
The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
New input case for you: Sono fiera di potervi dire che sei mesi fa, Agnes è stata eletta vicesindaco di Narok.
Output: | Orgullosamente, les anuncio, que hace seis meses, fue elegida Vicealcaldesa de Narok. | 1 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.3416464924812317,
0.5261543989181519,
-0.29113614559173584,
0.15937688946723938,
-0.41511741280555725,
-0.03683967888355255,
0.44566574692726135,
1.0685378313064575,
0.07215555757284164,
-0.2650029957294464,
-0.20694796741008759,
0.09737642109394073,
0.011463053524494171,
0.336014628410... |
Given the task definition and input, reply with output. Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
എടൊ ചേട്ടാ ഒരുമിച്ചു ജീവിക്കണം എന്നതിൽ ആര് കുറ്റം പറഞ്ഞു ഞാനോ അവരെന്തു കോപ്രായം വേണേലും കാണിക്കട്ടെ അരുൺ ചോദിച്ചപ്പോൾ നികേഷ് പറഞ്ഞു ചേട്ടാ ഞങ്ങൾ ശാരീരിക ബന്ധത്തിൽ ഏർപ്പെടാറുണ്ട് എന്ന് അതിൽ എന്ത് ലോജിക്കാണ് നിങ്ങൾ കാണുന്നത് എന്നതിൽ എനിക്ക് മനസിലാകുന്നില്ല
| Not Hope Speech | 5 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.6337027549743652,
0.20196221768856049,
0.4164033830165863,
0.042784422636032104,
-0.16578716039657593,
-0.37096428871154785,
-0.541093111038208,
0.5432591438293457,
-0.461841344833374,
0.052389249205589294,
-0.5153483748435974,
0.08150956779718399,
-0.44230157136917114,
-0.2953020930290... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[EX Q]: [[31, -42, -11, -50, -10], [47, -14, 48, -7, -46], [3, 36, 35, 48, -30], [23, -50], [9, -22, 27, 0, 3], [-29, -49, -21, -7, 12]]
[EX A]: [7161000, -10170048, -5443200, -1150, 0, 2506644]
[EX Q]: [[-48, -21], [20, 17, -2, -10], [-20, -45, 17], [35, 47, -41, -3, 25], [18, 40, -24, -43], [37, -2, -44], [-7, -42, 48, 19, 12], [-36, 4]]
[EX A]: [1008, 6800, 15300, 5058375, 743040, 3256, 3217536, -144]
[EX Q]: [[-30, 3, 32, -23, 4], [45, -41, -39, -42], [47, -20, -9, 23], [43, -22], [-23, 2, -17, 18], [-25, -16, 19, -19, -8], [15, 8], [-18, -7], [9, -2]]
[EX A]: | [264960, -3022110, 194580, -946, 14076, 1155200, 120, 126, -18]
| 6 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.21466724574565887,
0.05195946246385574,
-1.1216866970062256,
-0.29191067814826965,
-0.29210180044174194,
-0.44718438386917114,
1.2720767259597778,
0.6656821370124817,
-0.7736533880233765,
-0.4235439896583557,
-1.1067285537719727,
0.503670334815979,
-0.7900761365890503,
-0.38079667091369... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[Q]: xPLSxeVWYADih, hMQyuLSxeVWhmrvZO
[A]: e, h, l, m, o, q, r, s, u, v, w, x, y, z
[Q]: GqxXgzDgigmEtTvqdqHQnm, NNmNqzURTmEtTvqdqHQXxhfL
[A]: d, e, f, h, l, m, n, q, r, t, u, v, x, z
[Q]: HmABtvleuMwRwYtIBEpipxi, qvAFieuMwRwYtIQMTON
[A]: | a, b, e, h, i, l, m, p, r, t, u, v, w, x, y
| 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.3445199728012085,
0.8904744386672974,
0.20642811059951782,
-0.5182063579559326,
0.28098249435424805,
0.19475558400154114,
0.7526553869247437,
-0.016050128266215324,
-0.13023138046264648,
-0.23183679580688477,
-0.8822351694107056,
-0.05497528240084648,
0.05554594099521637,
-0.21516345441... |
Part 1. Definition
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. 'i' and 'j' will be non-negative, and will always have a value less than the length of A. 'i' will always be less than 'j'. Perform the operations in order, i.e., do not reverse first and then concatenate.
Part 2. Example
1, 3, ['238', 'h', '92', 'U', '2799']
Answer: 29h832
Explanation: Here, concatenating all the elements between the 1st element and 3rd element and then reversing the string gives '29h832'.
Part 3. Exercise
18, 21, ['c', 'C', 'c', '5173', 'Q', 'D', 'f', 'X', '7707', '4085', '1057', '3347', 'X', '6749', 'd', '3395', 'i', 'T', '4943', 'D', 'w', 's', 'c', '7635', '2721', 'u', '9721', '3949']
Answer: | wD3494T | 7 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.06579142808914185,
0.2026396095752716,
-0.46811002492904663,
-0.6160574555397034,
-0.031109604984521866,
0.011207837611436844,
0.5028365850448608,
0.15802569687366486,
-0.36048829555511475,
0.2108658254146576,
-1.1312110424041748,
-0.20703992247581482,
0.08075975626707077,
-0.3696389794... |
This task is about translating a given French language sentence to English.
Example Input: Maman, merci pour le repas.
Example Output: Thank you for the meal, mom.
Example Input: Je vais vous payer une visite de temps en temps.
Example Output: I'll pay you a visit now and then.
Example Input: Vraiment ?
Example Output: | Really?
| 3 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.1702936887741089,
0.5423117876052856,
0.29695773124694824,
-0.2723446488380432,
-0.09352616220712662,
-0.6372494697570801,
0.19722405076026917,
0.06706687808036804,
0.7586225271224976,
0.031197337433695793,
0.1881101131439209,
0.20950140058994293,
-0.20509037375450134,
-0.27636337280273... |
Instructions: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Mensen die niet veel leren hebben inactieve partners.
Output: | Mensen die niet veel overslaan hebben inactieve gamers. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.9855666160583496,
0.997802197933197,
-0.4543629288673401,
-0.7036412954330444,
-0.23978815972805023,
0.19277498126029968,
0.4617847800254822,
0.4380205273628235,
0.2573253810405731,
-0.8616644740104675,
-0.7714221477508545,
0.5880447030067444,
-0.931551992893219,
-0.22255615890026093,
... |
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.
Example: sentence_A: A young girl is enjoying the green grassy trail . category: entailment
Example solution: A young girl is happily having fun on the green grassy hike
Example explanation: The words happy and enjoying both mean the same, so they are entailed to each other.
Problem: sentence_A: Someone is reading the email. category: contradiction
| Solution: Someone is not reading the email | 5 | NIv2 | task1613_sick_given_category_generate_sentence | fs_opt | [
-0.6914927959442139,
0.5432112216949463,
0.04901699721813202,
-0.6608836650848389,
-0.29430902004241943,
-0.22853058576583862,
0.02466031350195408,
0.31704601645469666,
0.1749771535396576,
-0.49023985862731934,
-0.5860083103179932,
-0.26694297790527344,
-0.015872657299041748,
-0.0211639348... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Se si sentiva il segnale e componevi un numero, due volte su tre ottenevi il numero sbagliato.
| 仮に発信音があってダイアルを回したとしても ３回に２回は間違った相手につながってしまい | 5 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.7844844460487366,
0.2645137310028076,
0.1163577139377594,
-0.08436253666877747,
0.21677365899085999,
-0.22566932439804077,
0.5640062093734741,
0.35607296228408813,
-0.45525410771369934,
-0.272405207157135,
-0.4332602024078369,
0.35654014348983765,
-0.1860235631465912,
-0.157870367169380... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
One example: Девушка может одолжить тебе денег.
Solution is here: Университет может заработать тебе денег.
Explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about gaining some money and the output sentence follows the commonsense knowledge.
Now, solve this: Вы можете найти кандидатов на повышение по службе.
Solution: | Ты следующий, кто найдет кроликов в ульях. | 6 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.49698111414909363,
0.4489583671092987,
0.10773758590221405,
-0.6456840634346008,
-0.6021537780761719,
-0.1232047900557518,
0.5741944313049316,
1.8130083084106445,
0.27905935049057007,
-0.617724597454071,
-0.7792155742645264,
-0.3727607727050781,
-0.4374961853027344,
0.22586680948734283,... |
Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Input: #porn,#android,#iphone,#ipad,#sex,#xxx, | #XXX | homemade pussy eating – http://t.co/2yuIdrLN3k http://t.co/Z8GAiWlLye
Output: | Offensive | 2 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.5251589417457581,
0.13528846204280853,
0.07906439900398254,
0.638452410697937,
-0.19485655426979065,
-0.6443928480148315,
-0.5138739943504333,
0.5521018505096436,
0.017619390040636063,
0.3289835751056671,
-0.2886577248573303,
-0.7555333375930786,
-0.4174692928791046,
-1.2533496618270874... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Ex Input:
Fact: substances reacting with one another causes them to vibrate.
Ex Output:
what does substances reacting with one another cause?
Ex Input:
Fact: ancestors of hagfish probably had backbones.
Ex Output:
What did ancestors of hagfish probably have?
Ex Input:
Fact: hurricanes cause bodies of water to increase amount of water they contain.
Ex Output:
| What can cause bodies of water to increase the amount of water they contain?
| 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.6226685643196106,
0.5497008562088013,
0.09726596623659134,
0.4230039119720459,
-0.045043058693408966,
-0.8674420118331909,
0.2994121015071869,
0.9297491908073425,
-0.24072468280792236,
-0.23834213614463806,
-0.7534014582633972,
-0.18225912749767303,
-0.6274927854537964,
-0.21690841019153... |
Definition: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Input: Passage: Kennedy's assassination led indirectly to another commission for Pei's firm. In 1964 the acting mayor, Erik Jonsson, began working to change the community's image. Dallas was known and disliked as the city where the president had been killed, but Jonsson began a program designed to initiate a community renewal. One of the goals was a new city hall, which could be a "symbol of the people". Jonsson, a co-founder of Texas Instruments, learned about Pei from his associate Cecil Howard Green, who had recruited the architect for MIT's Earth Sciences building.Pei's approach to the new Dallas City Hall mirrored those of other projects; he surveyed the surrounding area and worked to make the building fit. In the case of Dallas, he spent days meeting with residents of the city and was impressed by their civic pride. He also found that the skyscrapers of the downtown business district dominated the skyline, and sought to create a building which could face the tall buildings and represent the importance of the public sector. He spoke of creating "a public-private dialogue with the commercial high-rises".Working with his associate Theodore Musho, Pei developed a design centered on a building with a top much wider than the bottom; the facade leans at an angle of 34 degrees. A plaza stretches out before the building, and a series of support columns holds it up. It was influenced by Le Corbusier's High Court building in Chandigarh, India; Pei sought to use the significant overhang to unify building and plaza. The project cost much more than initially expected, and took 11 years. Revenue was secured in part by including a subterranean parking garage. The interior of the city hall is large and spacious; windows in the ceiling above the eighth floor fill the main space with light.
The city of Dallas received the building well, and a local television news crew found unanimous approval of the new city hall when it officially opened to the public in 1978. Pei himself considered the project a success, even as he worried about the arrangement of its elements. He said: "It's perhaps stronger than I would have liked; it's got more strength than finesse." He felt that his relative lack of experience left him without the necessary design tools to refine his vision, but the community liked the city hall enough to invite him back. Over the years he went on to design five additional buildings in the Dallas area.
Question: What is the name of the person who went on to design five additional buildings in the Dallas area?
Output: | Pei. | 2 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.47150275111198425,
0.429571270942688,
-0.27379947900772095,
-0.10176260024309158,
0.7914606332778931,
0.02847703918814659,
0.8280701637268066,
0.47867876291275024,
0.2747897505760193,
0.536776602268219,
-0.5181536078453064,
0.6604470014572144,
-0.9396302700042725,
0.2054266482591629,
-... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a cat is laying on a keyboard in front of double monitors'. How many words start with the letter 'm' in the sentence.
1
Sentence: 'an orange and white scooter carrying two passengers drives down a wet street while the passenger of the scooter holds a purple umbrella'. How many words start with the letter 'a' in the sentence.
4
Sentence: 'a person standing on a green field next to a river flying a kite'. How many words start with the letter 'a' in the sentence.
| 4
| 0 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
-0.5042722225189209,
0.14451974630355835,
-0.8351949453353882,
-0.6379200220108032,
-0.004181323107331991,
-0.13688890635967255,
-0.5179901123046875,
0.8002046346664429,
0.6530203819274902,
-0.5612959861755371,
-0.5704284310340881,
-0.37788087129592896,
0.06695439666509628,
-0.262856364250... |
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: 2-LETTER WORDS
Clue: It's used to attract attention to something sighted on a ship, like land or a sail
ho
Category: SPORTS TALK
Clue: In a game of tennis, deuce is the same as 3 points all, which is called this tie score
40-to-40
Category: KENNEDY CENTER HONOREES
Clue: This musician who gave off good "vibes" was one of the honorees in 1992
| lionel hampton
| 0 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.9406909942626953,
0.6256352663040161,
-0.6065025925636292,
-0.30976539850234985,
0.2557830214500427,
-0.2865375578403473,
0.8111844062805176,
-0.15457215905189514,
-0.1837776154279709,
-0.42280834913253784,
-0.048838090151548386,
0.06387109309434891,
-0.44458848237991333,
0.526072680950... |
Detailed Instructions: 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.
Problem:Title: Having a Baby. Sentence 1: My mom was expecting a baby. Sentence 2: She went into labor while I was at school. Sentence 3: I met her at the hospital. Sentence 4: The nurses and doctors helped her deliver the baby.
Solution: | Finally he found the answer: he got her noise-cancelling headphones. | 8 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.22273358702659607,
0.8202563524246216,
0.029265940189361572,
-0.20632246136665344,
-0.5510684251785278,
0.3477441668510437,
-0.18813486397266388,
0.6672364473342896,
0.696915328502655,
-0.3171692490577698,
-0.3593747913837433,
0.13301944732666016,
-0.276448518037796,
0.42647749185562134... |
instruction:
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
question:
Question1: How is india unique from other countries?, Question2: What makes India different from all other countries in the world?
answer:
Yes
question:
Question1: In close quarters combat (CQC), who receives the most lethal hand to hand combat training: SEALs, Delta, Green Beret, Rangers, Marine Force Recon or Air Force PJs?, Question2: Do Navy SEALs have to register their hands as lethal weapons?
answer:
No
question:
Question1: How long would it take to go around the world in a plane, nonstop?, Question2: How long would it take to fly from JFK to SYD nonstop?
answer:
| No
| 9 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.36731070280075073,
0.2698667049407959,
-0.33348986506462097,
0.38738006353378296,
-0.4683031439781189,
-0.9156686067581177,
0.9247148036956787,
0.23826491832733154,
-0.3435073494911194,
0.33700039982795715,
-0.3584885001182556,
-0.33424168825149536,
-0.167833149433136,
-0.04838600754737... |
Part 1. Definition
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence 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 sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Part 2. Example
What is the sentiment of the following sentence towards the entity Bill Clinton ? Bill Clinton knows how to win friends and influence people.
Answer: Positive
Explanation: Here the author of the document praises Bill for this ability to win friends.
Part 3. Exercise
What is the sentiment of the following document towards the entity Ben Bradlee ? HANKS: (As Ben Bradlee) If we don't hold them accountable I mean my God who will?
Answer: | Neutral | 7 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.5886850953102112,
0.12409023940563202,
0.6561892032623291,
0.2982978820800781,
0.07986046373844147,
-1.0946367979049683,
1.0478699207305908,
0.16920775175094604,
0.7770605683326721,
0.1270148754119873,
-0.7086222171783447,
0.25077348947525024,
-0.3349643051624298,
-0.3412259519100189,
... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: We need from the Commission material we can use to help us scrutinise spending.
Student: | Vi behöver ha material från kommissionen som vi kan använda som hjälp vid granskningen av utgifterna. | 6 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.5445822477340698,
0.7734382748603821,
0.3599025011062622,
-0.8923505544662476,
0.5444920063018799,
-0.3319404423236847,
1.067859411239624,
0.8061659336090088,
0.28752902150154114,
0.22492629289627075,
0.222817525267601,
0.3884517550468445,
-0.2915196716785431,
-0.2992563247680664,
-0.... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Q: Powinniśmy ograniczyć nasze działania do ochrony ludności cywilnej w Bengazi.
A: | היינו צריכים להגביל את עצמנו בקפדנות רבה מאד להגנה על האוכלוסיה האזרחית בבנגאזי. | 4 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.8725091218948364,
0.9804129600524902,
0.4215216338634491,
-0.34707212448120117,
-0.27721166610717773,
-1.0990655422210693,
1.2947065830230713,
-0.44317758083343506,
0.5478392839431763,
-0.17620179057121277,
-0.8012940883636475,
0.02820144221186638,
-0.690513551235199,
-0.037316653877496... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Podemos facer con este coiro, o que se fai con el hoxe en día,... mais coa imaxinación pode que moito máis.
A: | Este tipo de couro pode fazer o que o couro atual faz, mas com imaginação, provavelmente muito mais. | 7 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.31438302993774414,
1.4407453536987305,
0.40523791313171387,
-0.2707939147949219,
-0.3112964332103729,
-1.6295485496520996,
0.06226228550076485,
1.0302083492279053,
-0.13223005831241608,
-0.0058095199055969715,
-0.036580368876457214,
0.35376688838005066,
-0.6624277234077454,
0.5849996209... |
Detailed Instructions: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Problem:Fake Pastors: Bunmi àti Rukayat ni agbódegbà àwọn afurasi pasitọ náà
Solution: | Entertainment | 8 | NIv2 | task612_yorubabbc_classification | zs_opt | [
-0.23287466168403625,
0.1957710087299347,
-0.5020719766616821,
0.5065529346466064,
-0.679192841053009,
-0.3339141011238098,
0.19368448853492737,
-0.14805608987808228,
0.07779114693403244,
-0.07583825290203094,
-0.5644684433937073,
0.23684704303741455,
-0.8194200992584229,
0.238484933972358... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Input: Consider Input: Passage: During the spring 1940 , the Brandenburg units proved essential in seizing "vital points ahead of Guderian's panzers." On May 8, 1940, the men of the 4th company led by Leutnant Walther crossed the Dutch border wearing uniforms of the Dutch police and arrived two days later. When the Wehrmacht began operations at the bridge Meuse of Gennep, they realised that the Dutch had previously rigged it with explosives to prevent its use by the Germans, however overall there were no issues, Walther's group, pretending to escort German prisoners, took the guards by surprise from one side of the bridge and after a brief confrontation three Germans were wounded and the platoon took possession of the station; the Dutch guards on the other side of the bridge in a confused scramble, left the Germans too close to their objective, and they had no difficulty completing the conquest of the bridge, on which the Wehrmacht tanks passed shortly afterwards. At the same time, other Brandenburg units seized several bridges over the Juliana Canal—also in the Netherlands, while their fellow soldiers entered Luxembourg, occupying bridges over the Our (river) and in Belgium carrying out similar actions. Chronicling Brandenburger No. 3 Company's penetration into Belgium, Lahousen was gratified to report that, "forty-two out of sixty-one objectives were secured and handed over to the units following behind." For their exploits in Belgium and the Netherlands, the Brandenburgers were among the most decorated units marching with the invading German armies, which earned them the admiration of the Abwehr Chief, Wilhelm Canaris. On 27 May 1940, chief-of-staff of the High Command of the German armed forces, Wilhelm Keitel, wrote to Canaris that the Brandenburgers had "fought outstandingly well" which was further validated when Hitler presented Iron Cross commendations to 75 percent of the 600 men who participated. By October 1940, the Brandenburgers constituted an entire regiment-sized unit.
Link Information: The Netherlands had an estimated population of 17,093,000 as of January 2017 Answer: The Netherlands
Output: Which of the two countries where Brandenburg units seized several bridges has a larger population?
Input: Consider Input: Passage: "Scared of Beautiful" was written by Odd Future collective member Frank Ocean along with producer Warryn Campbell, and Chameleon Records head Breyon Prescott. Jaycen Joshua mixed the track, while Trehy Harris assisted in the audio engineering of it; both tasks were executed at the Larrabee Sound Studios, in North Hollywood, California. In early March 2012, Norwood made known that Ocean would contribute to her then upcoming sixth studio album, Two Eleven. He previously wrote the songs "1st & Love" and "Locket (Locked in Love)" for her 2008 album Human, a process which resulted in a close friendship between the singers. Though Ocean didn’t write "Scared of Beautiful" specifically for her, Norwood stated that she was owning it now: “It’s on my album, I got a claim... ’Frank Ocean, you wrote that song for me, you just didn’t know it’,” she joked. Ocean's demo of the track was leaked in late 2011. Crafted by Midi Mafia members Waynne Nugent and Kevin Risto along with songwriters Tim Stewart and Lamont Neuble, it features a significantly different, guitar-driven instrumentalization. Campbell, unaware of Ocean's version, produced his own variation of "Scared of Beautiful" with help from Prescott along Norwood's pre-recorded vocals only.
Link Information: Ocean was born on October 28, 1987, in Long Beach, California. Answer: Long Beach, California
Output: Where was the person born who wrote Scared of Beautiful?
Input: Consider Input: Passage: He was called to the Irish Bar in 1805 and practised with great success on the home circuit. Blackburne was nominated a King's Counsel in 1822 and administered the Insurrection Act in Limerick for two years, effectually restoring order in the district. In 1826 he became the King's Third Serjeant-at-law and in 1830 was advanced to the Second Serjeant. A year later, he was appointed Attorney-General for Ireland in the Whig administration of Earl Grey 'though known to be a tory ... with a view to the Irish administration having a broad political base' and on this occasion was sworn of the Privy Council of Ireland. He held the post as Attorney-General until 1834; he was readmitted in 1841 and after serving for a year, became Master of the Rolls in Ireland. As Attorney General he clashed with Daniel O'Connell when he insisted, against O'Connell's wishes, on the appointment of Abraham Brewster as Law Adviser to the Lord Lieutenant of Ireland (in effect, a deputy to Brewster himself). Blackburne's statement that he "would not tolerate a refusal to ratify the appointment", is an indication of the influence which could then be wielded by a strong Attorney General. In 1845, he was chosen Chief Justice of the Court of Queen's Bench. Blackburne was appointed Lord Chancellor of Ireland in February 1852, but was replaced in October. After a break of four years, he became a Lord Justice of Appeal. In 1858 'he was invited by Lord Derby again to become lord chancellor, but he declined on account of his advanced age and failing health. He changed his mind, however, and decided to accept Derby's offer but was told that the position had been offered to and accepted by Joseph Napier.' He was bitterly disappointed, referring to the decision as "a harsh and cruel blow". In 1866, he began a second term as Lord Chancellor, which ended with his death in the next year.
Link Information: none Answer: none
| Output: Who served as King's Council the year before Blackburne was nominated for the position?
| 2 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.7547805309295654,
0.4381512403488159,
-0.9031818509101868,
-0.15838678181171417,
0.6638672351837158,
-0.6031911373138428,
0.5167223215103149,
0.5407940149307251,
-0.1410503387451172,
0.2684001326560974,
-0.40846341848373413,
0.061054032295942307,
-0.37310758233070374,
0.2197233885526657,... |
TASK DEFINITION: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
PROBLEM: Passage: My mommy was blue and loving
SOLUTION: Unrelated
PROBLEM: Passage: The African shop on the corner is having a big sale. The mop bucket is filled with water.
SOLUTION: Unrelated
PROBLEM: Passage: The illiterate historian is very knowledgable.
SOLUTION: | Anti-stereotype
| 8 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.020045068114995956,
-0.0452706441283226,
-0.46161413192749023,
0.2768053710460663,
-0.3270410895347595,
0.5673806667327881,
0.7687457799911499,
0.8684467077255249,
0.4204541742801666,
0.17049548029899597,
-0.709900975227356,
-0.07737415283918381,
-0.30918583273887634,
-0.1285592019557953... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
See one example below:
Problem: Question: Foi um presente popular e comum este ano, por isso dirigiu-se para o que seria fácil de encontrar?
Options: (A) árvore de natal (B) meia de natal (C) loja especializada (D) armário (E) grande armazém
Solution: E
Explanation: The predicted answer is correct because out of given many options only department stores are easy to find.
Problem: Question: Onde pode encontrar uma série de instrumentos de sopro juntos em público?
Options: A loja de música B criar música C jardim zoológico D sinfonia E sala de música
Solution: | D | 4 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | fs_opt | [
0.297130823135376,
0.37964141368865967,
-0.8543984293937683,
0.09856653213500977,
-0.3377572298049927,
-0.4378266930580139,
-0.30232536792755127,
1.3462655544281006,
-0.0792807787656784,
0.3516618013381958,
0.12113445997238159,
0.38158559799194336,
-0.08137838542461395,
-0.4491974711418152... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
Input: James entered the cellar. Sophia entered the cellar. The spinach is in the blue_box. James moved the spinach to the red_cupboard. Where does James think that Sophia searches for the spinach?
Output: | red_cupboard | 2 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
-0.12300019711256027,
-0.39049142599105835,
-0.4048486649990082,
-0.4417608976364136,
-0.4717225730419159,
-0.18892276287078857,
0.3660470247268677,
0.7910603880882263,
0.3262174427509308,
-0.21644210815429688,
-0.4583227038383484,
0.5497482419013977,
0.2120722234249115,
0.0706321224570274... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
--------
Question: Statement: Every time we raise the minimum wage, the number of jobless people increases.
Subject: economy,jobs,workers
Answer: True
Question: Statement: The proposed Gogebic mine in northern Wisconsin could be extended as long as 21 miles.
Subject: environment
Answer: True
Question: Statement: There are places in America that are among the most dangerous in the world. You go to places like Oakland. Or Ferguson. The crime numbers are worse. Seriously.
Subject: crime
Answer: | True
| 7 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.4840660095214844,
0.4443557560443878,
0.12338270246982574,
0.18680410087108612,
-0.4213378131389618,
-0.4012884497642517,
0.5510885119438171,
0.43968313932418823,
-0.13224107027053833,
0.20963624119758606,
-1.0002362728118896,
-0.4828575849533081,
-0.3387340307235718,
-0.487328231334686... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Q: I tell kids when they struggle through some uphill and feel like they cannot take it anymore, it really helps to ignore the immediate obstacles and raise your head and look around and see how the vista around you grows.
A: Kažem djeci kada se mukotrpno penju uzbrdo i osjećaju se kao da to više ne mogu podnijeti, ono što stvarno pomaže jest zanemariti trenutne prepreke i podići svoju glavu i pogledati naokolo i vidjeti kako se vidici oko vas šire.
****
Q: Women do not negotiate for themselves in the workforce.
A: Žene se ne znaju izboriti za sebe na poslu.
****
Q: Similarly, in the Arab world, there was what the great Arab historian Albert Hourani defines as the Liberal Age.
A: | Slično, u arapskom svijetu, postojalo je ono što veliki arapski povjesničar Albert Hourani definira kao Liberalno doba.
****
| 4 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.2566048502922058,
0.4747065305709839,
-0.26917415857315063,
0.31184789538383484,
0.12113858759403229,
-0.8545836210250854,
1.0703544616699219,
0.7965245246887207,
0.2599351108074188,
-0.38589686155319214,
-0.19109924137592316,
0.5005037188529968,
-1.0506937503814697,
0.28232598304748535... |
Given the task definition and input, reply with output. Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 19 Oo waxaan samada sare ka muujin doonaa yaabab, Dhulka hoosena waxaan ka muujin doonaa calaamooyin, Kuwaas oo ah dhiig iyo dab iyo uumiskii qiiqa.
| 19 And I will shew wonders in heaven above, and signs in the earth beneath; blood, and fire, and vapour of smoke: | 5 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.823122501373291,
1.2611435651779175,
0.32622864842414856,
-0.7149802446365356,
-0.5224146842956543,
-0.41715914011001587,
0.22404643893241882,
0.5651315450668335,
0.37510862946510315,
-0.255016028881073,
-0.13247495889663696,
1.1001496315002441,
-1.292738437652588,
0.05240820348262787,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Example: このアイデアはとてもシンプルで
Example solution: A ideia é muito, muito simples.
Example explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: 用心深くて慎重だったのです
| Solution: São mais prudentes. Estão mais alerta. | 5 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.19729726016521454,
0.7058902978897095,
0.22521263360977173,
-0.7073761224746704,
-0.339134156703949,
-1.1922392845153809,
0.5313891768455505,
0.3924255967140198,
0.31981247663497925,
-0.6009566187858582,
-1.0510443449020386,
0.36997634172439575,
-0.9332597255706787,
0.4170759320259094,
... |
Q: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: a glacier causes mechanical weathering, Fact2: Largest of the glacier-formed lakes is Karakul., Question: What can be formed by mechanical weathering? (A) NaCl (B) white (C) rock (D) tube (E) soils (F) Roads (G) Lakes (H) sand
A: | G | 7 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.09287795424461365,
0.10327353328466415,
0.1334843933582306,
-0.320561945438385,
-0.1843724250793457,
-0.5077139139175415,
-0.21625939011573792,
0.5896410942077637,
-0.49537938833236694,
-0.5327552556991577,
-0.26407569646835327,
-0.2075660228729248,
-0.14052951335906982,
0.0598226562142... |
Construct a question that every answer in the list is correct and reasonable for it.
check, photo, contract, shirt, book, ball, petition | name something that a person might ask to have signed | 0 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.4924229383468628,
0.6017413139343262,
-0.822939395904541,
-0.1847446709871292,
0.4482979476451874,
-0.6656787395477295,
0.41756826639175415,
-0.9991238117218018,
0.12143395841121674,
-0.5291973352432251,
0.10584177076816559,
0.010028126649558544,
-1.2903825044631958,
0.4284874200820923,... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Ex Input:
Problem: in township k each property is taxed at 10 percent of its assessed value . if the assessed value of a property in township k is increased from $ 20,000 to $ 28,000 , by how much will the property tax increase ?
Options: a ) $ 800 , b ) $ 1000 , c ) $ 600 , d ) $ 400 , e ) $ 500
Ex Output:
a
Ex Input:
Problem: a car traveled 80 % of the way from town x to town y at an average speed of 80 mph . the car traveled at an average speed of v mph for the remaining part of the trip . the average speed for the entire trip was 50 mph . what is v in mph ?
Options: a ) 25 , b ) 35 , c ) 45 , d ) 55 , e ) 20
Ex Output:
e
Ex Input:
Problem: if x + y = 280 , x - y = 200 , for integers of x and y , y = ?
Options: a ) 200 , b ) 240 , c ) 50 , d ) 115 , e ) 150
Ex Output:
| b
| 1 | NIv2 | task1420_mathqa_general | fs_opt | [
0.22711479663848877,
0.4071749448776245,
-0.2585268020629883,
0.5551018714904785,
0.10164131224155426,
-0.0887312963604927,
1.4665453433990479,
1.3918962478637695,
-0.37571969628334045,
-0.02371339499950409,
-0.43999969959259033,
0.7301192283630371,
-0.5140366554260254,
-0.5012805461883545... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their, etc.) or other mentions to people, places, or things to which they may refer. Do not ask questions that can be answered correctly without understanding the paragraph or having multiple answers. Avoid questions that do not link phrases referring to the same entity. For each of your questions, the answer should be one or more phrases in the paragraph, and it should be unambiguous.
Passage: Most information on the social life in Vijayanagara empire comes from the writings of foreign visitors and evidence that research teams in the Vijayanagara area have uncovered. The Hindu caste system was prevalent and rigidly followed, with each caste represented by a local body of elders who represented the community. These elders set the rules and regulations that were implemented with the help of royal decrees. Untouchability was part of the caste system and these communities were represented by leaders (Kaivadadavaru). The Muslim communities were represented by their own group in coastal Karnataka. The caste system did not, however, prevent distinguished persons from all castes from being promoted to high-ranking cadre in the army and administration. In civil life, by virtue of the caste system, Brahmins enjoyed a high level of respect. With the exception of a few who took to military careers, most Brahmins concentrated on religious and literary matters. Their separation from material wealth and power made them ideal arbiters in local judicial matters, and their presence in every town and village was a calculated investment made by the nobility and aristocracy to maintain order. However, the popularity of low-caste scholars (such as Molla and Kanakadasa) and their works (including those of Vemana and Sarvajna) is an indication of the degree of social fluidity in the society.
Well-to-do men wore the Petha or Kulavi, a tall turban made of silk and decorated with gold. As in most Indian societies, jewellery was used by men and women and records describe the use of anklets, bracelets, finger-rings, necklaces and ear rings of various types. During celebrations, men and women adorned themselves with flower garlands and used perfumes made of rose water, civet musk, musk or sandalwood. In stark contrast to the commoners whose lives were modest, the lives of the empire's kings and queens were full of ceremonial pomp in the court. Queens and princesses had numerous attendants who were lavishly dressed and adorned with fine jewellery, their daily duties being light.Physical exercises were popular with men and wrestling was an important male preoccupation for sport and entertainment. Even women wrestlers are mentioned in records. Gymnasiums have been discovered inside royal quarters and records speak of regular physical training for commanders and their armies during peacetime. Royal palaces and market places had special arenas where royalty and common people alike amused themselves by watching matches such as cock fights, ram fights and wrestling between women. Excavations within the Vijayanagara city limits have revealed the existence of various types of community-based activities in the form of engravings on boulders, rock platforms and temple floors, implying these were places of casual social interaction. Some of these games are in use today and others are yet to be identified. | What was Kanakadasa's scholarly work? | 0 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.4266235828399658,
0.3510972261428833,
-0.656039297580719,
-0.03837446868419647,
0.5230541229248047,
-0.573410153388977,
0.869451642036438,
1.206852912902832,
0.03354453667998314,
-0.4654242992401123,
-0.8508114218711853,
0.7740228772163391,
-0.9955090284347534,
-0.21661531925201416,
0.... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Example Input: از کجا می توانم مخزن گاز خالص نیتروژن را خریداری کنم؟ <sep> تأثیرات سفید کننده در مخازن بنزین چیست؟
Example Output: not-paraphrase
Example Input: چه کار کنیم تا شکممان کار کند؟ <sep> چه کار کنیم تا کیک پف کند؟
Example Output: not-paraphrase
Example Input: نمرات آزمون تافل برای مهاجرت به چه صورته؟ <sep> به عنوان شخصی که در کشور دیگر درس میخواند یا کار میکند، برای مهاجرت چه مسیری را پیشنهاد میکنید؟ (تحصیلی، کاری یا ...)
Example Output: | not-paraphrase
| 3 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.9576090574264526,
0.9213882684707642,
0.5042977333068848,
-0.5737869143486023,
-0.7194209694862366,
0.13041435182094574,
1.475113034248352,
1.387163758277893,
0.3130045533180237,
0.09241332113742828,
-0.7630346417427063,
-0.23233184218406677,
-0.671055793762207,
-0.020015135407447815,
... |
Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Input: (CNN) -- "Real Housewives of New Jersey" stars Teresa and Joe Giudice face new bank fraud charges. The reality TV couple could spend decades in prison if convicted on the 41 counts alleged in an indictment returned by a federal grand jury in New Jersey. The Giudices allegedly faked documents and lied on applications to get more than $5 million in loans over eight years before they joined the "The Real Housewives of New Jersey" cast in 2009. They both entered "not guilty" pleas in August to the original 39 counts, including conspiracy to commit mail and wire fraud, bank fraud, making false statements on loan applications, and bankruptcy fraud.Teresa and Joe Giudice could spend decades in prison if convictedThe reality TV couple allegedly lied to get more than $5 million in loans over 8 yearsThe Giudices were initially charged by federal prosecutors in JulyThey both entered "not guilty" pleas in August to the original 39 counts
Question:"_ was not employed outside the home at the time."
Output: | Teresa | 3 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.40942177176475525,
0.7367132902145386,
-0.8245152831077576,
1.0722157955169678,
0.6009107232093811,
0.39013540744781494,
0.18211279809474945,
1.0034891366958618,
-1.089120864868164,
0.25043171644210815,
0.12479905784130096,
0.33268922567367554,
-0.5976073741912842,
-0.45649921894073486,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Mi ricordo alcuni di loro parlarmene con gli occhi che brillavano di gioia, come una grandiosa conferma della loro fede e della bontà di Dio.
Output: | أتذكر أن واحدة قالت لي هذا, وعيناها تشعان بالحماس نتيجة هذا التأكيد الرائع لإيمانها ولطيبة الرب | 1 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.4311169385910034,
0.6260271072387695,
-0.08662131428718567,
-0.5757787227630615,
-0.3986830711364746,
-0.0028883800841867924,
0.9089013338088989,
0.4646495282649994,
0.18099108338356018,
-0.11168208718299866,
-0.724544882774353,
-0.48720863461494446,
-0.5204874277114868,
0.5509036779403... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
(מחיאות כפיים) ברונו גיוסיאני: ג 'וסלין, זה מדהים, ואני בטוח שממש עכשיו, יש מספר אנשים בקהל, כנראה אפילו הרוב, שחושבים, "" אני מכיר מישהו שיכול להשתמש בזה. "" אני מכיר, בכל מקרה.
(Aplausos) Bruno Giussani: Jocelyne, isto é asombroso. Estou seguro de que agora mesmo, hai ducias de persoas no público posiblemente a maioría, que están a pensar, "" Eu sei de alguén que pode usar isto. "" Eu estou, desde logo.
ככל שאתם מתקדמים במורד סולם הדירות, תבחינו כי איכותן יורדת.
Segundo baixas o nivel do apartamento, ves como vai de peor en peor.
עובדת במה: בהצלחה.
| Tremoísta: Sorte
| 0 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.46331727504730225,
1.2568321228027344,
-0.12491833418607712,
0.17848141491413116,
0.0722537636756897,
-0.6927261352539062,
0.6343565583229065,
-0.39799726009368896,
0.3187289834022522,
-0.21057692170143127,
-0.8209483623504639,
0.43172162771224976,
-0.8005909323692322,
-0.18380507826805... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Ex Input:
head is a kind of word
Ex Output:
head IsA word
Ex Input:
i can be used as the opposite of you
Ex Output:
i Antonym you
Ex Input:
noise is a kind of cry
Ex Output:
| noise IsA cry
| 1 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.419839084148407,
0.8106227517127991,
0.25258171558380127,
-0.1658736616373062,
-0.366763710975647,
-0.6742148399353027,
0.7778019905090332,
0.38298889994621277,
0.1772426813840866,
-0.48758208751678467,
-0.5265635848045349,
-0.30976781249046326,
-1.0642720460891724,
-0.1462176889181137,
... |
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? Solve this instance: President Donald Trump is apparently not a One Direction fan.
Liam Payne, a member of the wildly popular British boy group, told Rollacoaster magazine that Mr. Trump once kicked him and his band mates out of Trump Tower in New York City. The incident, Payne said, stemmed from One Direction’s refusal to meet with one of Mr. Trump’s daughters.
“Trump actually kicked us out of his hotel once,” Payne said. “You wouldn’t believe it. It was about [meeting] his daughter. He phoned up our manager and we were asleep. He said ‘well, wake them up’ and I was like ‘no’ and then he wouldn’t let us use the underground garage. Obviously in New York we can’t really go outside. New York is ruthless for us.”
Mr. Trump then gave Payne and company the boot. “So he was like, ‘OK, then I don’t want you in my hotel,’” Payne recalled. “So we had to leave.”
The president has had a series of colorful blow-ups with pop culture figures throughout his career – a habit that he hasn’t ditched since entering the White House.
On Wednesday, for example, Mr. Trump responded to a music video in which the rapper Snoop Dogg points a pistol at a clown, who bears a resemblance to the president, named Ronald Klump.
“Can you imagine what the outcry would be if @SnoopDogg, failing career and all, had aimed and fired the gun at President Obama?” Mr. Trump tweeted. “Jail time!”
Can you imagine what the outcry would be if @SnoopDogg, failing career and all, had aimed and fired the gun at President Obama? Jail time! — Donald J. Trump (@realDonaldTrump) March 15, 2017
Mr. Trump’s online missive then prompted criticism from friends of Snoop Dogg. A profanity-laced Wednesday Instagram post from the rapper Tip “T.I.” Harris, for example, called Snoop Dogg a “F***** Legend” and accused Mr. Trump of wearing a “Lacefront Possum fur Wig.”
It is unclear if Mr. Trump listens to One Direction, Snoop Dogg, or Harris. He has, however, praised other artists, such as Canadian rocker Neil Young.
“He’s got something very special,” Mr. Trump said of Young in a 2006 interview with Rolling Stone. “I’ve listened to his music for years... His voice is perfect and haunting.” ||||| Image via Getty.
In an interview with U.K. magazine Rollacoasta, a member of One Direction who is not Zayn or Harry shared a story about the time Donald Trump demanded the band to vacate one of his New York hotels after they declined to meet his daughter. (Based on age, presumably Tiffany and not Ivanka.)
“Trump actually kicked us out of his hotel once,” 1D-er Liam Payne told the mag, continuing:
You wouldn’t believe it. It was about [meeting] his daughter. He phoned up our manager and we were asleep. He said ‘well, wake them up’ and I was like ‘no’ and then he wouldn’t let us use the underground garage. Obviously in New York we can’t really go outside. New York is ruthless for us...So he was like, ‘OK, then I don’t want you in my hotel.’ So we had to leave.
As Vanity Fair’s Richard Lawson reminds us, 1D fans—even after the group called it quits—are not a crew you wish to anger, even when you’re commander-in-chief:
Advertisement
...God Almighty, you do not want to run afoul of those people. Trust me. You don’t. I don’t mean the band specifically. But its fans? Hooftie. I’ve mixed it up with them and it is not pleasant. They are tireless and unwavering. Which I can respect. They’re fighting for a good cause. But yikes. An American war with 1D fans would drain us of much blood and treasure, an endless conflict of such murky moral justification that it would only serve to further divide this nation. This could be a catastrophe. And it could happen.
Hm, I concur with Lawson that Trump has picked a fight that he’s not prepared for, but—counter point—maybe that’s a good thing? Hell hath no fury like a One Direction fan scorned and if they can overwhelm the voting booths during the midterm elections and the 2020 elections—much like they have with, say, the People’s Choice Awards—to avenge 1D’s honor, they just might save us.
Like hyenas, terrifying in their own right, taking down a hairless, spray-tanned lion—both brutal and mesmerizing. |||||
Student: | A member of One Direction claims President Trump once kicked the British boy band out of Trump Tower in New York after they refused to meet with one of his daughters, CBS News reports. "He phoned up our manager, and we were asleep," Liam Payne tells a UK magazine. "He said, ‘Well, wake them up,’ and I was like, ‘No.'" Payne continues: “So he was like, ‘OK, then I don’t want you in my hotel.'" Jezebel—which believes the daughter in question is likely Tiffany, not Ivanka—notes that this may have been a major strategic blunder on Trump's part. One Direction's fans are notoriously virulent in defense of the group's honor and could turn out to the polls to exact their revenge in 2020. | 6 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.31363096833229065,
0.3558831512928009,
-0.22542732954025269,
-0.10405723750591278,
0.4761568307876587,
-0.4104312062263489,
0.3731954097747803,
0.6364845633506775,
-0.21597564220428467,
0.45440444350242615,
0.29582831263542175,
0.39723140001296997,
-0.4889533519744873,
-0.379957556724548... |
Teacher: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the British Commonwealth.
That is very interesting! What can you tell me about "symbols" in Antigua and Barbuda?
Agave Karatto is a symbol of the country and was included in Meghan Markle's wedding veil which included distinct flora from all of the commonwealth's countries.
oh Wow! That is really cool! i never knew, Can you give me any other info about "symbols" in Antigua and Barbuda?
I do not have any further information about symbols but Calypso and soca music are both important to the culture.
Okay, I'd love to learn about Notables in Antigua and Barbuda.
I do not have any information about that but I can tell you that the islands became independent in 1981.
Can you tell me more about the Culture in Antigua and Barbuda?
They have the most technologically advanced hospital in the Caribbean.
I didn't know that! Can you tell me more about the Hospital there?
It was opened as part of an education mission and is called the Mt St John Medical Center in the nations capital, Saint John.
That is Interesting! I would like to hear more about the education mission if you have any information on that.
Unfortunately I have no further information regarding that but I can tell you that there are two foreign owned for profit off shore medical schools, the American Unversity of Antigua and The University of Health Sciences Antigua.
Thank you so much for all your information!
You are welcome!
Solution: Antigua and Barbuda
Reason: Here the topic discussed is mostly about Antigua and Barbuda. Thus the output is correct.
Now, solve this instance: What can you tell me Macau economy
The Sands Macao, Wynn Macau, MGM Macau, and Venetian Macau were all opened during the first decade after the liberalisation of casino concessions. Would like to hear about more?
anything else about the economy
Sure, Casino gaming is illegal in both the mainland and Hong Kong, giving Macau a legal monopoly on the industry in China.
What do you have on the government?
The central government and the Ministry of Foreign Affairs handle diplomatic matters, but Macau retains the ability to maintain separate economic and cultural relations with foreign nations .
How about politics?
Macau is represented in the National People 's Congress by 12 deputies chosen through an electoral college , and 29 delegates in the Chinese People 's Political Consultative Conference appointed by the central government .
what kind of government do they have?
Macau 's structure of government is very similar to Hong Kong's. Because negotiations for the Joint Declaration and Basic Law began after transitional arrangements for Hong Kong were made.
Any fun facts you can share?
Sure, After China first concluded arrangements on Hong Kong 's future with the United Kingdom, it entered negotiations with Portugal over Macau in 1986.
Thank you for the information.
No problem :)
Student: | Macau | 2 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.9020999073982239,
-0.2728020250797272,
-0.44157731533050537,
-0.9538068175315857,
0.4219762682914734,
-0.5375301837921143,
0.38862770795822144,
0.622077226638794,
-0.8766347169876099,
0.3605598509311676,
0.45365816354751587,
0.2811415195465088,
-0.42000865936279297,
0.3360210061073303,
... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
でも、いくら素晴らしい作品であってもどこかで、これは作者が作り上げたものと同じ効果をもっていないと感じていました
| و به همون اندازه که این کتاب ها بزرگ بودن ، همیشه می تونستین بگین که که دارین به اثر کامل نزدیک میشین. | 5 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.12725920975208282,
0.5268514752388,
0.46602633595466614,
-0.32647430896759033,
0.22971884906291962,
-0.18637406826019287,
0.24798449873924255,
0.25413161516189575,
0.014006303623318672,
0.09144574403762817,
-0.7125710248947144,
0.34458011388778687,
-0.6190149784088135,
0.084334298968315... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. 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.
[EX Q]: Head: PersonX affects children 's ___<sep>Tail: to teach the children
[EX A]: No
[EX Q]: Head: locker<sep>Tail: put them away
[EX A]: Yes
[EX Q]: Head: PersonX accepts PersonY's offer<sep>Tail: pays person Y
[EX A]: | No
| 6 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
1.0492504835128784,
-0.31723254919052124,
-0.09142738580703735,
-0.15045154094696045,
-0.050398554652929306,
-1.075042963027954,
1.3779287338256836,
0.781111478805542,
-0.9743815660476685,
-0.27013447880744934,
-0.5415823459625244,
-0.14776620268821716,
-0.4221739172935486,
0.3221694827079... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Turkish 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.
Problem:look for " mai lee " .
Solution: | " mai lee " restoranını arar mısın. | 8 | NIv2 | task252_spl_translation_en_tr | zs_opt | [
-0.46842730045318604,
0.2191128134727478,
-0.13220353424549103,
-0.052299901843070984,
0.26559048891067505,
-0.1996665894985199,
0.8379039764404297,
0.17653021216392517,
-0.4078982472419739,
0.28470855951309204,
0.17718125879764557,
-0.1826542615890503,
-0.49478328227996826,
0.719854831695... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਸ਼੍ਰੀ ਸੰਤੋਸ਼ ਕੁਮਾਰ ਗੰਗਵਾਰ,ਕਿਰਤ ਤੇ ਰੋਜ਼ਗਾਰ ਰਾਜ ਮੰਤਰੀ (ਸੁਤੰਤਰ ਚਾਰਜ)
| રોજગાર અને કૌશલ્ય વિકાસ પર મંત્રીમંડળીય સમિતિ | 5 | NIv2 | task1044_pib_translation_punjabi_gujarati | zs_opt | [
-0.5927550792694092,
1.0793466567993164,
-0.0023804684169590473,
-0.69594407081604,
0.197221040725708,
-0.4456961750984192,
0.48994892835617065,
-0.40298837423324585,
0.039012860506772995,
0.22263523936271667,
-0.4187498092651367,
-0.11024026572704315,
-0.46420997381210327,
0.2783667147159... |
Detailed Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
See one example below:
Problem: Our friends won't buy this analysis, let alone the next one we propose.
Solution: acceptable
Explanation: The sentence is easy to understand where a person talks about not being convinced of the analysis. So, it's acceptable.
Problem: Ida hunted the woods for deer.
Solution: | acceptable | 4 | NIv2 | task616_cola_classification | fs_opt | [
-0.3253604471683502,
0.6714962720870972,
0.43989041447639465,
-0.7013790607452393,
-0.12052419036626816,
-1.3068976402282715,
0.6118857860565186,
0.5305118560791016,
0.637650728225708,
0.3031066656112671,
-0.7686614394187927,
-0.6150164008140564,
-0.5067214965820312,
-0.0025891850236803293... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
و لباسهای شیکی که میخرید نهفته بود و اینهمه او را شتابان،
Output: | the presentable garments it would buy him, all of which would bring him nearer, | 1 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.35875409841537476,
0.8468670845031738,
-0.35412341356277466,
0.26235538721084595,
-0.24362343549728394,
0.636475682258606,
0.48835769295692444,
0.19263431429862976,
0.7324904203414917,
0.23909743130207062,
-0.594042181968689,
-0.09765361249446869,
-0.47100064158439636,
0.163837060332298... |
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