inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1 value | _task_name stringlengths 19 85 | _template_type stringclasses 2 values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
Problem:Paragraph- Sent 1: { { Plot } } Tom plays pool in a deserted pool hall , pocketing two balls by lowdown means and then wakes Jerry up by shooting the 10-ball into the pocket where he is sleeping .
Sent 2: Jerry awakes just in time to avoid the 10-ball and is carried out to the ball return , where the 10 and the 13 smash the mouse between each other .
Sent 3: Jerry is mad and walks up through the pocket , first sees nothing , but after a few steps back to the pocket , he spots Tom perched behind it .
Sent 4: Jerry tries to jump into another corner pocket , but Tom aims a cue ball with so much force that it roll 's into the pocket , and spins back out of it and it rolls Jerry backwards to Tom , who has made a ramp with his cue stick for the mouse to slide up .
Sent 5: Jerry stops at the top of the stick and is then blown down by Tom , who then shoots a stream of balls to make the mouse flat .
Sent 6: The whole train rebounds back towards the cat and the balls stack up at Tom 's end of the table .
Sent 7: Tom shoots all the balls in succession with his cue , and then tries to shoot Jerry , but the mouse hangs onto the cue tip .
Sent 8: The cat , as if he were saying `` Have it your way '' , chalks up and shoots the 8-ball using Jerry .
Sent 9: The mouse drops off the cue tip and then is upended by the 8-ball rolling in circles , and Tom forces Jerry to jump through the ball rack as if he were a circus performer .
Sent 10: Tom then sets it on fire to add an additional level of torment , and when Jerry accomplishes this with poise , Tom discards the flaming rack and shoots the 8-ball across the table and back .
Question: After Tom seems to say, "Have it your way," Jerry the mouse is upended by what?.
Solution: | 8, 9. | 8 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.39061224460601807,
0.4600274860858917,
-0.7376375794410706,
0.45824092626571655,
0.1099991649389267,
-0.8921859860420227,
-0.07579563558101654,
0.6555755138397217,
-0.39550191164016724,
0.1663920283317566,
-0.3984946012496948,
0.5147475004196167,
-0.5243853330612183,
-0.06864897906780243... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
It is also a testament to the integrity and vision of the band .
Output: | POS | 1 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.6883189678192139,
0.1502731740474701,
-0.020737040787935257,
0.39939990639686584,
0.303145170211792,
-0.9314824938774109,
1.3296658992767334,
0.1827317774295807,
0.22572049498558044,
0.5441126823425293,
-0.6065751910209656,
-1.0432413816452026,
0.2737361788749695,
0.046949200332164764,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
One example: É basicamente un caldeiro que rota.
Solution is here: ويوجد أساسا مرجل دوار.
Explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Now, solve this: Porque onde temos un superávit de tecnoloxía na industria da seguridade informática, temos unha clara falta de... (chámenme anticuado)... intelixencia humana.
Solution: | لأنه عندما يكون هناك فائض في التكنولوجيا في صناعة الأمن الالكتروني ، فسيكون لدينا عجز أكيد في — قولوا عليّ أني قديم الطراز — الذكاء البشري. | 6 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.4497312307357788,
0.4640962779521942,
-0.24967330694198608,
-0.7875267267227173,
-0.2664128541946411,
-0.21931448578834534,
0.8418396711349487,
-0.03120097890496254,
-0.31588423252105713,
-0.10372334718704224,
-0.5972445011138916,
-0.0845230221748352,
-1.2395870685577393,
0.331158816814... |
Given the task definition and input, reply with output. You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
I wanted some coffee and realized she hid them in the pantry or above the fridge. I checked behind stuff in the _ .
| pantry | 5 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.10379898548126221,
0.8468040227890015,
0.06572858989238739,
0.08602432906627655,
0.1870633363723755,
-0.07862918078899384,
0.6680436134338379,
0.470417320728302,
-0.0888255164027214,
-0.24645256996154785,
-0.1333675980567932,
-0.25488191843032837,
-0.20099849998950958,
-0.39187791943550... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
منکران تغییرات آب و هوا بر این باورند که خورشید علت اصلی تغییرات آب و هوایی است. منکران تغییرات آب و هوا بر این باورند که خورشید علت اصلی تغییرات آب و هوایی است.
| I detrattori del cambiamento climatico sostengono che il Sole sia la causa principale. | 5 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.9956076145172119,
1.1579149961471558,
-0.535003125667572,
-0.2212812304496765,
-1.469560980796814,
-0.9635372161865234,
0.1656070053577423,
0.5103573799133301,
0.7493981122970581,
-0.6604557037353516,
-0.4839080274105072,
0.19327004253864288,
-0.2385033518075943,
0.13609711825847626,
... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Input: Consider Input: People drop what they are doing and flee.
Output: The train passes by revealing a crowd of men wielding clubs, knives, and axes running towards them.
Input: Consider Input: She meets her gaze with a gentle smile.
Output: In her shower stall, someone runs a hand down her soaked hair.
Input: Consider Input: He glances across from the front, then turns back to the door.
| Output: He sets two frothy, white blender drinks on a ledge, opens a window, and shakes his head.
| 2 | NIv2 | task455_swag_context_generation | fs_opt | [
-0.3154192864894867,
0.8727940917015076,
-1.038006067276001,
-0.05895403400063515,
-0.14819511771202087,
-0.27646932005882263,
0.06392182409763336,
0.023830067366361618,
0.10275223106145859,
-0.17446403205394745,
-0.3695552945137024,
0.010283693671226501,
-0.4899566173553467,
-0.0987271070... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Let me give you an example: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
The answer to this example can be: E eu continuo a pensar que o transporte é o centro deste universo.
Here is why: The Farsi sentence is correctly translated into Portugese, because the meaning is preserved.
OK. solve this:
و چيزى كه من مى خواهم درباره اش صحبت كنم اين است كه از هر دو سيستم تعريف مى كند.
Answer: | E aquilo de que eu quero falar é algo que aclama os dois sistemas. | 8 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.4593026638031006,
0.6438493132591248,
-0.2719511389732361,
0.3195229172706604,
-0.830097496509552,
-0.050960421562194824,
0.41207677125930786,
0.7264171242713928,
-0.11675454676151276,
0.015301872976124287,
-0.934224545955658,
0.33506476879119873,
-0.22782717645168304,
0.795201182365417... |
Detailed Instructions: Given a sentence in French, generate a new French 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.
See one example below:
Problem: Tomber amoureux, c'est comme manger un chocolat.
Solution: Tomber amoureux, c'est comme allumer un bar de vacances.
Explanation: This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge.
Problem: Vous sauteriez par la fenêtre parce que le bâtiment est en feu.
Solution: | Tu mourrais par une fenêtre parce que le bâtiment est en feu. | 4 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.11757621169090271,
0.8556890487670898,
0.13863605260849,
-0.3187234699726105,
0.26910775899887085,
-0.4390135109424591,
0.5991682410240173,
0.465762197971344,
0.07862944155931473,
-0.16744959354400635,
-0.5830064415931702,
-0.1416729986667633,
-0.2791749835014343,
0.24612393975257874,
... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Q: Post: @Maritza05484697 TÚ eres la super RE QUE IDIOTA ¡¡DIOS TE MALDIGA Y TE DESTRUYA ERES GRAN MIERDA PENDEJA PUTA JODIDA DEL RE PUTO MIERDA GOBIERNO, DIOS MALDIGA Y MANDE AL INFIERNO A TODOS LOS QUE FIRMARON ESA PUTA LEY, DIOS TE LLENE EL CULO DE CÁNCER RE MI
A: Hateful
****
Q: Post: Primero te perreas todo, bailas como si no hubiese un mañana y después escuchas bien la letra de "Arabe" de @_eckoyg
A: Non-hateful
****
Q: Post: @juulivillalba Tu eres una zorra
A: | Hateful
****
| 4 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.1318802386522293,
0.6447291374206543,
0.24383820593357086,
0.9583660364151001,
-0.3317473530769348,
-1.0452160835266113,
0.817482590675354,
1.4301397800445557,
0.033677779138088226,
0.36765652894973755,
-0.5059037804603577,
0.13414478302001953,
-0.34005865454673767,
-0.02259586006402969... |
In this task, you're given a review from Amazon. Your task is to generate a 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.
Never could get enough coins to play for more than a few minutes. Daily bonus never worked. I only pay for coins if a game is worth it. I don't think this one is.
2
I like the dark gray color and overall look of the sheepskin. This seems well made, but unfortunately gets too hot for me and within minutes. I ended up flipping it back and forth to get a 'cooler' side for the duration of the ride, eventually giving up and removing it. And it wasn't even warm/sunny. The search continues.
2
These are perfect for the Fiat 500. They installed in under 5 minutes and look great on the car. Be sure to clean the surface before applying and you will have excellent results.
| 5
| 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
-0.08532523363828659,
-0.6924457550048828,
-0.33372777700424194,
0.36171823740005493,
-0.026342839002609253,
-0.4488091468811035,
0.5368175506591797,
1.0249767303466797,
-0.4196940064430237,
0.5363330245018005,
-0.0702434554696083,
0.16828098893165588,
-0.26659220457077026,
-0.221283167600... |
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.
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.
Example solution: How many books are there in the British Library?
Example explanation: In the Article, 10,000,000 is mentioned for the number of books available in the British Library, so this is a good question.
Problem: Article: For the kids in Matt Marciano's sixth-grade social studies class, Thanks-giving is a time for great ideas. "We look at different foods that people eat around the world," says Marciano. "The lesson," he explains, "teaches students to admit that some people are unlucky. And it also gets them thinking about Thanksgiving, about their lives, and about their biggest homework of the year--to find a way they can change the world." Last year, 12-year-old Christian D. taught basic soccer skills to 63 kids with cancer. Christian's classmate Brianna used the money she had raised to buy 56 teddy bears. She donated them to a woman's shelter. Both students say the experience taught them something they'll never forget: When we give something to others, we're really giving thanks. And giving thanks feels good. "Helping the woman smile, if just for a day, made me feel like I could make a difference," Brianna says. "And it taught me that I should always be thankful for what I have." Brianna's happiness is something Jeffrey Froh knows about. Froh studies how gratitude affects a person's mind and attitudes. Those who are thankful are more likely to help others. Grateful people and kids in particular are healthier and happier than those who are not. "Grateful kids tend to be happier and more satisfied with their lives," Froh says. "Kids who give thanks are happier with school, their families and their friends. Grateful children also feel less envy toward others, are less likely to be depressed and even do better in school." "To experience gratitude," says Froh, "a couple of things have to happen. First you have to notice that there is goodness in your life. Then you have to admit that the reason for that goodness lies partially outside of yourself."
Answer: They thought of ideas for helping other people.
| Solution: How did the students celebrate Thanksgiving in Marciano's class? | 5 | NIv2 | task311_race_question_generation | fs_opt | [
0.250482976436615,
-0.03392355889081955,
-0.13636857271194458,
-0.4693596363067627,
1.0070202350616455,
-0.4868226945400238,
0.9679664373397827,
0.011270076967775822,
0.31465908885002136,
-0.4714457392692566,
0.021166428923606873,
0.3733355402946472,
-1.3023467063903809,
0.5629363656044006... |
You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[EX Q]: Statement: নিবাৰণ বৰা (Nibaran Bora) আছিল একেধাৰে এজন ৰাজনীতিবিদ, লেখক, সাংবাদিক, শিক্ষক, খেলুৱৈ, সুবক্তা, সমাজকৰ্ম্মী শ্ৰমিক নেতা তথা কৃষক নেতা। কুৰি শতিকাৰ দ্বিতীয়াৰ্ধৰ অসমপ্ৰেমী আৰু জনমুখী ৰাজনীতিবিদসকলৰ এখন তালিকা যদি কৰা হয়, তেন্তে নিবাৰণ বৰাৰ নাম একেবাৰে আগফালে থাকিব। অসমত যি ছবছৰীয়া গণ আন্দোলন হ'ল তাৰো অন্যতম পুৰোহিত আছিল নিবাৰণ বৰা। <MASK> চুক্তিৰ যুক্তিযুক্ততা সম্পৰ্কে তেওঁ প্ৰশ্ন তুলিছিল আৰু আমৃত্যু এই চুক্তিক ভাৰতৰ সংবিধান বিৰোধী আৰু অসমীয়াৰ স্বাৰ্থৰ প্ৰতি বিশ্বাসঘাতকতা বুলি কৈছিল।
Option A: Turkmenistan
Option B: কলিকতা
Option C: বাংলাদেশ
Option D: অসম
[EX A]: অসম
[EX Q]: Statement: পিতৃঃ যােগেন্দ্রনাথ মিশ্র আৰু মাতৃ: ভাগ্যেশ্বৰী দেৱী। ককাক দেবেন্দ্রনাথ মিশ্র <MASK> বিদ্যাপীঠৰ ড্রয়িঙৰ শিক্ষক আছিল। এই একেখন স্কুলতেই দেউতাক যােগেন্দ্রনাথ মিশ্রই অংক, বিজ্ঞান আৰু ইংৰাজী শিকাইছিল। ককাক দেবেন্দ্রনাথ মিশ্ৰদ্বাৰাই চিত্রকর্মত 'হাতে-খড়ি'।
Option A: শান্তিনিকেতন
Option B: বৰপেটা
Option C: বেলতলা
Option D: গুৱাহাটী
[EX A]: বৰপেটা
[EX Q]: Statement: হেৰিয়েট বি.এল. কট্টাৰ (১৯ শতিকা) প্ৰথম অসমীয়া কাকত <MASK>ৰ মুদ্ৰক আৰু খ্ৰীষ্টীয়ান ধৰ্ম প্ৰচাৰক 'অ'লিভাৰ টি. কট্টাৰ'ৰ পত্নী। মূলতে আমেৰিকাৰ বাসিন্দা এই মহিলাই স্বামীৰ সৈতে অসমৰ শদিয়া, জয়পুৰ আৰু শিৱসাগৰত থাকে আৰু ইলাইজা হুইট্নী ব্ৰাউনৰ লগলাগি কেবাখনো অসমীয়া মাধ্যমৰ পঢ়াশালী স্থাপন কৰে। অকল শিৱসাগৰত ১৪খন অসমীয়া মাধ্যমৰ পঢ়াশালী খোলা হৈছিল। তেখেতে ৰচনা কৰা "Vocabulary and Phrases in English and Assmese" শীৰ্ষক গ্ৰন্থ ১৮৪০ চনত জয়পুৰ মিছন প্ৰেছৰপৰা প্ৰকাশিত হয়। এখেতৰ দ্বিতীয়খন পুথি "Phrases in English and Assamese" এড্ৱাৰ্ড ডব্লিউ ক্লাৰ্কৰ দ্বাৰা সম্পাদিত হৈ ১৮৭৭ চনত প্ৰকাশ পায়।।
Option A: আমেৰিকা
Option B: অৰুণোদই
Option C: চান্দমামা
Option D: অসম
[EX A]: | অৰুণোদই
| 6 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.6841463446617126,
0.48085257411003113,
-0.5122251510620117,
0.4672958254814148,
0.20791928470134735,
-0.35954415798187256,
0.7561598420143127,
0.6521464586257935,
0.02589939907193184,
0.49312156438827515,
0.041848324239254,
0.444469153881073,
-0.2501564919948578,
-0.42278867959976196,
... |
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 find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Example: [9, 40, -33, 12, 17, -32, 40]
Output: 0
The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
New input case for you: [-14, -97, 27]
Output: | 41 | 1 | NIv2 | task1445_closest_integers | fs_opt | [
-0.7393301129341125,
0.355976402759552,
-0.2251254916191101,
0.3302556276321411,
0.0889429897069931,
-0.0804269015789032,
0.3968127965927124,
0.5297240614891052,
0.24780339002609253,
-0.03729657083749771,
-0.2523971498012543,
-0.44443947076797485,
-0.2055497169494629,
-0.3948462903499603,
... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Example Input: What was the outcome of the storming of the bastille?
Example Output: Bastille captured; Revolution begins
Example Input: When was the bill of rights last amended?
Example Output: May 5, 1992
Example Input: Youngest girl to climb mount everest at the age of 13?
Example Output: | Malavath Poorna
| 3 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.148520365357399,
0.5793039202690125,
-0.4132319688796997,
-0.12386695295572281,
-0.5083444118499756,
-0.6776872873306274,
1.1517877578735352,
0.41807425022125244,
0.09410743415355682,
-0.07013612985610962,
-0.8952575922012329,
0.2041148692369461,
-0.28436478972435,
-0.31410229206085205,... |
Given the task definition, example input & output, solve the new input case.
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertbaan'"
Output: Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.
The simplest form of input is a single triple. Here the text describes the relationship in natural language.
New input case for you: Ardmore_Airport_(New_Zealand) | elevationAboveTheSeaLevel_(in_metres) | 34.0
Output: | The Ardmore Airport in New Zealand is 34 meters above sea level. | 1 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.9822371006011963,
0.7831209301948547,
-0.4590507745742798,
-0.8306331634521484,
-0.4570440649986267,
0.46333763003349304,
1.0146551132202148,
0.1394382268190384,
0.16128361225128174,
-0.20763425529003143,
-0.5486331582069397,
0.8281809091567993,
-0.11631427705287933,
-0.0925728529691696... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
[Q]: Abstract: Mammographic density is a strong risk factor for breast cancer, but the underlying biology for this association is unknown. Studies suggest that vitamin D may reduce breast cancer risk and dietary vitamin D intake has been associated with reduced breast density. We conducted a case-control study nested within the Nurses' Health Study cohort consisting of 463 and 497 postmenopausal cases and controls, respectively. We examined the association between mammographic density and plasma levels of 25-hydroxyvitamin D [25(OH)D] and 1,25-dihydroxyvitamin D [1,25(OH)(2)D]. We assessed whether plasma vitamin D metabolites modify the association between breast density and breast cancer. Percent mammographic density was measured from digitized film mammograms. Generalized linear models were used to determine mean percent breast density per quartile of vitamin D metabolite. Logistic regression models were used to calculate relative risks and confidence intervals. All models were adjusted for matching variables and potential confounders. We found no cross-sectional association between circulating levels of 25(OH)D or 1,25(OH)(2)D with mammographic density. Women in the highest tertile of mammographic density and lowest tertile of plasma 25(OH)D had 4 times greater risk of breast cancer than women with the lowest mammographic density and highest plasma 25(OH)D levels (RR = 3.8; 95% CI: 2.0-7.3). The overall interaction between mammographic density and plasma 25(OH)D was nonsignificant (p-het = 0.20). These results indicate that the association between mammographic density and breast cancer is independent of plasma vitamin D metabolites in postmenopausal women. Further research examining vitamin D, mammographic density and breast cancer risk is warranted.. Title: Hematopoietic stem cells and other hematopoietic cells show broad resistance to chemotherapeutic agents in vivo when overexpressing bcl-2.
[A]: no
[Q]: Abstract: CONTEXT Circulating concentration of lipoprotein(a) (Lp[a]), a large glycoprotein attached to a low-density lipoprotein-like particle, may be associated with risk of coronary heart disease (CHD) and stroke.
OBJECTIVE To assess the relationship of Lp(a) concentration with risk of major vascular and nonvascular outcomes. STUDY SELECTION Long-term prospective studies that recorded Lp(a) concentration and subsequent major vascular morbidity and/or cause-specific mortality published between January 1970 and March 2009 were identified through electronic searches of MEDLINE and other databases, manual searches of reference lists, and discussion with collaborators.
DATA EXTRACTION Individual records were provided for each of 126,634 participants in 36 prospective studies. During 1.3 million person-years of follow-up, 22,076 first-ever fatal or nonfatal vascular disease outcomes or nonvascular deaths were recorded, including 9336 CHD outcomes, 1903 ischemic strokes, 338 hemorrhagic strokes, 751 unclassified strokes, 1091 other vascular deaths, 8114 nonvascular deaths, and 242 deaths of unknown cause. Within-study regression analyses were adjusted for within-person variation and combined using meta-analysis. Analyses excluded participants with known preexisting CHD or stroke at baseline.
DATA SYNTHESIS Lipoprotein(a) concentration was weakly correlated with several conventional vascular risk factors and it was highly consistent within individuals over several years. Associations of Lp(a) with CHD risk were broadly continuous in shape. In the 24 cohort studies, the rates of CHD in the top and bottom thirds of baseline Lp(a) distributions, respectively, were 5.6 (95% confidence interval [CI], 5.4-5.9) per 1000 person-years and 4.4 (95% CI, 4.2-4.6) per 1000 person-years. The risk ratio for CHD, adjusted for age and sex only, was 1.16 (95% CI, 1.11-1.22) per 3.5-fold higher usual Lp(a) concentration (ie, per 1 SD), and it was 1.13 (95% CI, 1.09-1.18) following further adjustment for lipids and other conventional risk factors. The corresponding adjusted risk ratios were 1.10 (95% CI, 1.02-1.18) for ischemic stroke, 1.01 (95% CI, 0.98-1.05) for the aggregate of nonvascular mortality, 1.00 (95% CI, 0.97-1.04) for cancer deaths, and 1.00 (95% CI, 0.95-1.06) for nonvascular deaths other than cancer.
CONCLUSION Under a wide range of circumstances, there are continuous, independent, and modest associations of Lp(a) concentration with risk of CHD and stroke that appear exclusive to vascular outcomes.. Title: Niche-Independent Symmetrical Self-Renewal of a Mammalian Tissue Stem Cell
[A]: no
[Q]: Abstract: MOTIVATION Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data.
RESULTS The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. AVAILABILITY AND IMPLEMENTATION Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic CONTACT usadel@bio1.rwth-aachen.de SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.. Title: Trimmomatic: a flexible trimmer for Illumina sequence data
[A]: | yes
| 5 | NIv2 | task1587_scifact_classification | fs_opt | [
0.08588959276676178,
0.12025319784879684,
-0.6844344139099121,
0.014060014858841896,
0.35566794872283936,
-0.12417036294937134,
1.1210545301437378,
0.9779723882675171,
0.2668899595737457,
0.37694263458251953,
-0.638779878616333,
-0.008216547779738903,
-0.5352851152420044,
0.070150002837181... |
Indicate with `Yes` if the given question involves the provided reasoning `Category`. Indicate with `No`, otherwise. We define five categories of temporal reasoning. First: "event duration" which is defined as the understanding of how long events last. For example, "brushing teeth", usually takes few minutes. Second: "transient v. stationary" events. This category is based on the understanding of whether an event will change over time or not. For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Third: "event ordering" which is the understanding of how events are usually ordered in nature. For example, "earning money" usually comes before "spending money". The fourth one is "absolute timepoint". This category deals with the understanding of when events usually happen. For example, "going to school" usually happens during the day (not at 2 A.M). The last category is "frequency" which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc.
Sentence: Max seemed to be happy to have his human by his side as well as a new doggy friend.
Question: Does Max have a long relationship with his doggy friend?
Category: Transient v. Stationary. | No. | 0 | NIv2 | task019_mctaco_temporal_reasoning_category | zs_opt | [
0.14198550581932068,
-0.28768956661224365,
0.20491290092468262,
0.8469786643981934,
-0.2188478261232376,
-0.416792631149292,
-0.20596078038215637,
0.968528151512146,
0.13469025492668152,
0.19209164381027222,
0.01545720361173153,
-0.04883024841547012,
-0.22013096511363983,
0.136532276868820... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
(Laughter) (Applause) Since then, I have traded hair for teeth. (Laughter) | (Risas) (Aplausos) Desde entón, cambiei pelo por dentes. (Risas) | 0 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6741386651992798,
1.1862409114837646,
0.10233716666698456,
-1.290229082107544,
-0.36439383029937744,
-0.8130277395248413,
-0.4834236800670624,
0.9335983991622925,
-0.3440655469894409,
-0.28990697860717773,
0.23836499452590942,
-0.04030010104179382,
-0.9274423122406006,
0.070326827466487... |
Detailed Instructions: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Problem:Statement: শাহ পাকিস্তানের <MASK>, করাচি, জন্ম গ্রহণ করেন; কিশোর অবস্থায় তিনি ক্রিকেটের সাথে জড়িয়ে পড়েন। ওয়াইস শাহ তার কর্মজীবন শুরু করেন ওয়াইকম্বো হাইস ক্রিকেটে ক্লাবে, এবং ক্লাবে নিজে রেরর্ড ভেঙ্গে রেকর্ড গড়েন। তিনি ছিলেন একেজন পূর্ণাঙ্গ অলরাউন্ডার। তিনি ছিলেন সেই সময়ে তার বয়সী খেলোয়াড়দের মধ্য সবচেয়ে দ্রুততম বোলার এবং আক্রমণাত্মক ব্যাটসম্যান।
Option A: মুম্বাই
Option B: ওভাল
Option C: লর্ডস
Option D: সিন্ধ
Solution: | সিন্ধ | 8 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.8509684205055237,
1.0634870529174805,
-0.1351839005947113,
-0.1604028344154358,
-0.08751571178436279,
0.32459771633148193,
0.26582786440849304,
0.07553152740001678,
0.5285758972167969,
0.3509211540222168,
-0.04115096107125282,
-0.22726882994174957,
-0.3508698642253876,
0.1180974170565605... |
Given the task definition and input, reply with output. You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
The clothing in the north was warmer than the clothing in the south because there was more snow in the _ .
| north | 5 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.6017438769340515,
0.8485534191131592,
0.04788884148001671,
-0.06716907024383545,
0.21939058601856232,
-0.33691513538360596,
0.45141279697418213,
0.6562515497207642,
0.01070476695895195,
-0.36041152477264404,
-0.18807265162467957,
0.0891551524400711,
-0.20248261094093323,
-0.218029469251... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Example input: I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.
Example output: Želim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogučuje korisnicima invalidskih kolica da stoje i ponovno hodaju.
Example explanation: The translation correctly preserves the characters in Croatian.
Q: If you can see this orange tree, it's actually growing in a car tire, which has been turned inside out and sewn up.
A: | Ovo stablo naranče raste iz automobilske gume, koja je okrenuta iznutra prema van te zašivena. | 3 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.7545393705368042,
0.49224093556404114,
-0.13137847185134888,
0.5553575158119202,
-0.33294904232025146,
-1.1533244848251343,
0.7472811341285706,
0.11158665269613266,
-0.3859623372554779,
0.07341204583644867,
-0.2341470718383789,
0.24334093928337097,
-0.14414995908737183,
0.39918813109397... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
[EX Q]: What you're saying is that that's kind of going to be a dead end because you can't just keep improving that route and get to fully driverless at some point, and then a driver is going to say, "" This feels safe, "" and climb into the back, and something ugly will happen.
[EX A]: Tú dices que ese camino será un callejón sin salida porque no puedes seguir mejorando esa vía y llegar a la autoconducción en algún momento, y entonces el conductor dirá: "" Esto parece seguro "", girará hacia atrás, y entonces ocurrirá algo feo.
[EX Q]: Let me just give you one example.
[EX A]: Les daré un ejemplo.
[EX Q]: But it isn't like I haven't seen this crime scene before.
[EX A]: | Pero no es como si nunca he visto esta escena del crimen antes.
| 6 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.49011826515197754,
0.6590803265571594,
0.5558311939239502,
-0.6132822632789612,
-0.4841228127479553,
0.04755933955311775,
0.8456104397773743,
1.262265682220459,
-0.22002306580543518,
-0.020633064210414886,
-0.2900208830833435,
0.43341898918151855,
0.3561091721057892,
-0.1352441459894180... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage.
See one example below:
Problem: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving.
Solution: How old is Will Hunting in the movie ?
Explanation: This is a good question which has a factoid answer.
Problem: The film opens with a young man fleeing from an unseen pursuer. Hiding in the bushes, he seems to have escaped until he is grabbed from behind and killed. Joanne (Laurie Lapinski) and her boyfriend Tim (Robert Frederick) attend a college party, with Joanne talking about how the building (Morgan Meadows Hall) is to be renovated before being demolished. She along with friends Bryan (David Snow), Patty (Pamela Holland), Craig (Stephen Sachs) and Debbie (Daphne Zuniga), are staying behind during the Christmas holiday to renovate the building. Tim leaves the next day for a skiing trip, while Debbie reveals that she cannot stay as her parents are picking her up later in the day.Debbie's parents arrive in the evening and wait for Debbie (who is searching for Joanne's inventory list). Her father gets impatient and leaves the car to find her, only to be murdered with a spiked baseball bat by an unseen killer. Her mother is then strangled in the car with thin wire. Debbie finds them dead, and faints in horror. The killer moves her body and drives over her head and squashing it. He then dumps all the bodies in the car and drives off.The next day, Patty sees a weird guy hanging out by the dumpsters, John Hemmit (Woody Roll), who is not supposed to be at the dorm. Later that day, the caretaker Bill complains that one of his drills has been stolen, while Joanne muses that it was John. Joanne then meets Bobby Lee Tremble (Dennis Ely), a local salesman who is purchasing some of the tables from the dorm. Not long after, Bill is killed in the toilets with the stolen drill. Craig and Bryan see John walking by the dorm and try to warn him away. The group play pool in the evening but Patty sees John peering it at them through a window and freaks out. Deciding to take matters into their own hands, the group decide to search for him around the building, but are unsuccessful in finding him.The group prepare dinner, when Craig notices some of the food is missing and he sees John fleeing. While the group search again for him, the killer smashes up their dinner with the spiked bat. Returning and seeing the carnage, they call the police and report John. Later that night, Joanne hears footsteps on the roof of the dorm and calls the others to her room when the power cuts out. On his way to the room, Bryan encounters someone shining a torch in his face, before he is attacked. Patty and Craig make it to Joanne's room but Bryan does not show up, so Joanne stays behind while Craig and Patty go downstairs to try to reconnect the power. In the kitchen, they get separated and Patty is grabbed from behind and knocked unconscious by the killer, who then drops her into an industrial pressure cooker and closes the lid.Craig makes it back to Joanne's room, claiming he'd been knocked out and that he cannot find Patty anywhere. Joanne is eventually cornered by Hemmit while she discovers Bryan's mutilated corpse in a storage room. She flees from him and makes it back to Craig, when they both team up and manage to kill him. At this point, Craig reveals that HE was the killer the whole time, and that John knew and was trying to warn Joanne. After being chased by him, Joanne is shown the corpses of Patty, Debbie and her family while Craig explains that he loves her and got rid of anyone who clung to her or ruined his chances with her.Joanne attempts to flee again, when Bobby Lee turns up. Craig knocks Joanne out and is then cornered by Bobby. The police turn up however and believe Bobby is the prowler the group had reported and shoot him down when he attempts to kill Craig. The police leave to get reinforcements and medical help, while Craig resolves to kill Joanne as he knows he will never have her. With her still unconscious, he dumps her body into an incinerator and seemingly escapes, while the police outside wonder if the smoke (from the incinerator) should smell so bad.
Solution: | Who does Joanne team up to kill Hermmit ? | 4 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.5654382705688477,
0.1225377768278122,
-0.4967997074127197,
-0.3047993779182434,
-0.021420540288090706,
-0.26626700162887573,
0.8593682646751404,
0.6381083130836487,
0.15835781395435333,
0.05787540227174759,
-0.1313643753528595,
-0.071112260222435,
-0.5744636058807373,
0.23688533902168274... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example: 処方箋を支払う為の保険は ？
Example solution: Terán seguro para pagar a receita?
Example explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
Problem: 政治学や経営学の学位をもっていて起業家でもあります今やっているようなことを行いたいとは思っていないのです
| Solution: Teñen títulos en ciencias políticas, en empresariais. Son emprendedores. En realidade, non queren facer o que están facendo. | 5 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.38153716921806335,
0.6670271158218384,
0.6258677840232849,
-0.9381061792373657,
-0.3796493411064148,
-1.0631368160247803,
0.7644692659378052,
0.6675460338592529,
0.05479962378740311,
-0.3841421902179718,
-0.1858212649822235,
0.25062325596809387,
-0.6694583892822266,
0.5065416097640991,
... |
Definition: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
Input: CONTEXT: Probably not. Cans are generally marked at point of filling, not at point of manufacturingThe plastic liner looks plastic'y in all cases, it's very hard to tell. Epoxy is harder than other plastics, but there are epoxies that are BPA free anywayAluminium cans are more likely have a epoxy liner that will give off a trace of BPAMany steel cans do not use epoxy or other BPA plasticsHaving said that the tested BPA release from a can is 100's of times lower than the recommended maximum daily dose. So in theory there is nothing to really worry aboutThe common sense answer is, if epoxy dissolved into the cans contents they wouldn't use it would they. The whole reason it's there is to stop the contents 'eating' the can <sep> Q: Is there a definitive way to know if a tin can is lined with BPA? A: Probably not. Cans are generally marked at point of filling, not at point of manufacturing Q: Is there any sign of BPA just from looking at the inside of the can? A: The plastic liner looks plastic'y in all cases, it's very hard to tel <sep> FOLLOWUP_Q: Why should BPA in cans be avoided?
Output: | No | 2 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
-0.1149485856294632,
-0.5090866088867188,
0.16433864831924438,
-0.1479242444038391,
0.440355509519577,
-1.043025016784668,
-0.0494314506649971,
1.1527539491653442,
-0.036785583943128586,
0.8564423322677612,
-0.21315526962280273,
0.5515989661216736,
-0.04172135144472122,
0.3410603404045105,... |
Definition: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Input: Sentence: 'a plate with various foods sits on top of the place mat'. Count the number of vowels in the given sentence.
Output: | 18 | 2 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.47668880224227905,
0.6899385452270508,
-0.8208134770393372,
-0.4841831922531128,
-0.022867636755108833,
0.09115076810121536,
-0.16261142492294312,
0.44533437490463257,
0.27547481656074524,
-0.23487058281898499,
-0.14783775806427002,
0.039363279938697815,
-0.05956307798624039,
-0.21617880... |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.
Example Input: Why do you ask princess?
Example Output: ham
Example Input: Your credits have been topped up. Your renewal Pin is tgxxrz
Example Output: spam
Example Input: Awesome, lemme know whenever you're around
Example Output: | ham
| 3 | NIv2 | task109_smsspamcollection_spamsmsdetection | fs_opt | [
-0.8639987111091614,
-0.1304236352443695,
0.8900693655014038,
-1.0013864040374756,
0.2736906409263611,
-1.0700881481170654,
-0.5015878677368164,
0.4133220911026001,
-0.3815554082393646,
0.6906813383102417,
-0.41339248418807983,
0.12260821461677551,
-0.22879871726036072,
-0.8031810522079468... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Gujarati: સ્ત્રીઓનું જૂથ મકાન યોજના માટે નવી સુયોજનનું વર્ણન કરે છે
English: A group of women are describing a new setup for a building plan
Solution: | Yes | 8 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.6146106719970703,
0.580774188041687,
-0.0030200083274394274,
0.22435510158538818,
0.46180081367492676,
-1.4770987033843994,
0.07760211080312729,
0.5580163598060608,
0.17038679122924805,
-0.15410326421260834,
-0.3235192894935608,
-0.09925991296768188,
-0.3099958300590515,
0.0830772221088... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
#1 return left image
#2 return dog in #1
#3 return number of #2
#4 return if #3 is equal to one
#5 return if #2 is smiling
#6 return if #5 is false
#7 return if both #4 and #6 are true
Output: | If the lone dog within the left image is not smiling. | 1 | NIv2 | task184_break_generate_question | zs_opt | [
0.6355035305023193,
0.18562965095043182,
-0.794140100479126,
0.6665960550308228,
0.13914762437343597,
-0.3473008871078491,
0.8052403926849365,
0.3701428771018982,
-0.31651943922042847,
0.3762247860431671,
-0.39816758036613464,
0.2638068199157715,
0.138975128531456,
0.13162794709205627,
0... |
Detailed Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: To be oblivious to the existence of this film would be very sweet indeed .
A: | NEG | 9 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.3615467548370361,
0.0517948642373085,
0.7835460901260376,
0.1359565556049347,
-0.0016912638675421476,
-0.6995872259140015,
1.3386616706848145,
0.7120914459228516,
0.34995704889297485,
0.08705160766839981,
-0.9441832900047302,
-1.1077929735183716,
0.021568680182099342,
-0.091116920113563... |
Detailed Instructions: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Problem:Poster: That's not awkward at all.... Responser: He was right in stopping the interview. Wasn't it about his new movie? Why would you bring up his past??
Solution: | Neutral | 8 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-1.0269629955291748,
0.31034573912620544,
0.4123677611351013,
0.13725191354751587,
0.38148775696754456,
0.0820145234465599,
0.769213855266571,
0.5248861312866211,
1.0269006490707397,
0.36361777782440186,
-0.2732769250869751,
-0.05210637301206589,
-0.11731361597776413,
-0.2425304651260376,
... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Ex Input:
I don't know why this flour isn't available in grocery stores in the Midwest. Typical grocer flours have a protein content much too high to give an authentic taste to such foods as pizza crust and homemade pastas. And after years of making homemade pastas and trying to find that perfect recipe that would result in those served in the best Italian restaurants in the US and Europe, I'm happy to discover, the secret was in the 00 protein content all along. What a fabulous difference this flour makes! Freezes well too.
Ex Output:
5
Ex Input:
I so wish I would have read this review before purchasing TWO gallons of this oil for my health issues. It reeks like a chemical rubber smell. This smell is coming from the black rubber gasket in the lid. When I called to report the situation to the company, Sabrina told me I would have to pay to send them a sample to have tested by a lab. Unbelievable. Good customer service would indicate that they would pay for the product to be returned and give me a full refund, including shipping. The product is faulty. Period. I will never order anything from this company again and do not recommend it to anyone based on this horrible customer service and lack of responsibility and ownership.
Ex Output:
1
Ex Input:
10 years ago my daughter brought home Creme' Brulee' for the first time. It was perfect, beans to be ground. Since then I have searched for ANYTHING similar. When I realized I couldn't find it, she had forgotten what one she purchased. This one has a strong flavor, but it tastes fake with a strong after taste. Unfortunately it is one of the better ones. If anyone reads this and knows what ones (Carmel and Vanilla), taste great, please post here.
Ex Output:
| 2
| 1 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.15589183568954468,
-0.05778494477272034,
-0.39032840728759766,
0.17224597930908203,
-0.1214931309223175,
0.07458776235580444,
0.5812479257583618,
1.1362906694412231,
-0.2985592186450958,
0.3451283574104309,
-0.2493656873703003,
0.3689121901988983,
-0.6630344390869141,
-0.081836126744747... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
One example: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Solution is here: flips upside - down
Explanation: Flipping of the kayak is a probable event. It is a logical next statement, given the context.
Now, solve this: We see the footprints on the platform. The woman
Solution: | stops and talks to the camera. | 6 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.21476754546165466,
0.4915456771850586,
-0.3146626651287079,
-0.48603129386901855,
-0.11655746400356293,
-0.047750167548656464,
0.3502218723297119,
0.7800798416137695,
0.08571192622184753,
0.2600736618041992,
-0.019854284822940826,
0.38704875111579895,
-0.4062023460865021,
0.337641000747... |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:Sejak itu, diselenggarakannya banyak uji misil, termasuk meriam tebal pada uji coba misil kapal ke darat di 2003 pada saat kenaikan tegangan atas kemungkinan kepemilikan senjata nuklir.
Solution: | それ以来、核兵器の所有可能性についての緊張が高まった２００３年の地対空ミサイルの濃縮電池試験を含む多くのミサイルテストが指揮された。 | 8 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.1714375764131546,
0.36305612325668335,
-0.3121037781238556,
-0.830246090888977,
0.27979791164398193,
0.05088954418897629,
1.3911809921264648,
-0.1578185260295868,
-0.23250366747379303,
-0.08947116136550903,
-0.5267355442047119,
0.8239929676055908,
-0.9203891754150391,
0.3659975528717041... |
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 deine schlechte Show sehen, weil du mittelmäßige Comics hast.
| Du würdest deine alberne Show sehen, weil du schwarze DNA hast. | 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.5965768098831177,
0.5722729563713074,
0.8043919801712036,
-0.4032127261161804,
0.1502680480480194,
0.24123038351535797,
0.48202428221702576,
0.6660600900650024,
0.21052920818328857,
-0.21699373424053192,
-1.134874701499939,
-0.18345767259597778,
-0.661490797996521,
0.21492460370063782,
... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
According to Gewirtz, ``At various times in my life, I've called myself a Republican and at other times, a Democrat. These days, both parties have sufficiently pissed me off that I'm pretty much an independent.'' Gewirtz writes analysis and commentary for the CNN prime-time program Anderson Cooper 360 and is listed among the program website's official contributors. _He_is also a CBS contributing editor and writes the ZDNet Government blog for CBS Interactive. <sep>, Pronoun: He
Gewirtz
However, when they do, Sheriff Blubs and Deputy Durland go after them to stop the secret from being revealed. Dipper's wish comes true when he steals a Time Traveler's time machine to undo a mistake and win Wendy over, while Mabel accompanies him to keep on winning _her_ pig, Waddles, until when Dipper finally undoes his mistake, Mabel loses her pig to her nemesis, Pacifica Northwest. <sep>, Pronoun: her
Mabel
During the proceedings, FIFA confirmed that Su*rez's previous two bans due to biting incidents (seven games for biting Otman Bakkal while playing for Ajax and 10 games for biting Branislav Ivanovi* while playing for Liverpool) would be taken into account. Two days after the match, the FIFA Disciplinary Committee banned Su*rez for nine international matches, effective immediately, meaning _he_would take no further part in the World Cup. <sep>, Pronoun: he
| Su*rez
| 0 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.47004052996635437,
0.2964681088924408,
0.2274506390094757,
0.23425540328025818,
-0.6116563081741333,
-0.0859762579202652,
0.7749899625778198,
-0.0056003849022090435,
-0.6724910736083984,
-0.15735669434070587,
-0.6478032469749451,
0.7738949060440063,
-0.7074471712112427,
-0.0514947101473... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.
However, the coherence of the topics produced by LDA is poorer than expected.
To address this lack of coherence, we applied non-negative matrix factorization (NMF).
Question: How are prominent topics idenified in Dabiq and Rumiyah?
| Extractive | 5 | NIv2 | task462_qasper_classification | zs_opt | [
-0.6588662266731262,
0.07163473963737488,
0.5916450023651123,
0.0021923035383224487,
-0.561356782913208,
0.43376797437667847,
1.342441439628601,
0.2514668107032776,
0.4449269473552704,
0.08351394534111023,
-0.7064186334609985,
0.1556437909603119,
-0.7646274566650391,
0.8073287010192871,
... |
Detailed Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Q: You are most welcome.
A: | agent | 9 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.21215222775936127,
0.3350070118904114,
0.06205107271671295,
-0.8935610055923462,
-0.05907141789793968,
-0.255856454372406,
0.5612100958824158,
-0.25993430614471436,
0.8192110657691956,
0.5215404033660889,
-0.07837627083063126,
-0.2869599461555481,
-0.765119194984436,
0.06444093585014343... |
TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
PROBLEM: At lap 234 of 400, Stewart spun out coming out of the fourth turn, which resulted in Kahne regaining the lead.
SOLUTION: 400 में से 234 लैप पर, स्टीवर्ट चौथे मोड़ से बाहर आ गया, जिसके परिणामस्वरूप काहेने ने फिर से बढ़त हासिल कर ली।
PROBLEM: The United Nations brokered cease-fire between Israel and Hezbollah is largely holding as Israel has begun to withdraw its forces from Lebanon.
SOLUTION: संयुक्त राष्ट्र ने इज़राइल और हिज़्बुल्लाह के बीच संघर्ष विराम को बड़े पैमाने पर रोक दिया है, क्योंकि इज़राइल ने लेबनान से अपनी सेना को वापस बुलाना शुरू कर दिया है।
PROBLEM: The Xinjiang region was the scene of a violent uprising by its Uyghur population last month.
SOLUTION: | झिंजियांग क्षेत्र में पिछले महीने अपनी उइगर आबादी द्वारा हिंसक विद्रोह का दृश्य था।
| 8 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.39772874116897583,
0.26696690917015076,
0.11829297244548798,
-0.21972577273845673,
-0.48279982805252075,
0.6869431734085083,
0.633059561252594,
0.6479310989379883,
0.37437188625335693,
-0.028069952502846718,
-0.8144971132278442,
0.4485016167163849,
-0.28456568717956543,
0.26616162061691... |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
Q: stand mixer
A: | mashes carpet smooth | 9 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.7676609754562378,
0.4248217046260834,
-0.7832565307617188,
0.1233084574341774,
-0.16948336362838745,
-0.37738603353500366,
0.04716802388429642,
0.656772255897522,
0.04781479388475418,
0.7109291553497314,
0.09393885731697083,
0.22518277168273926,
-0.205577090382576,
-0.004057526122778654,... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
i apologize in advance because the turkey will be dry , and my great uncle kenneth will not be .
| i apologized in advance that the turkey would be dried and my great uncle kennet would be drunk . | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.8367459774017334,
1.078122854232788,
0.46597999334335327,
-0.2032165378332138,
-0.36188822984695435,
-0.20749478042125702,
0.16454443335533142,
-0.04002472758293152,
0.0426994189620018,
0.20108625292778015,
0.056465692818164825,
0.16834405064582825,
-0.6921483278274536,
0.47483393549919... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: In addition to physical violence what other problem does this article discuss for adolescent relationships?, Context: Dating violence is fairly prevalent within adolescent relationships. When surveyed, 10-45% of adolescents reported having experienced physical violence in the context of a relationship while a quarter to a third of adolescents reported having experiencing psychological aggression. This reported aggression includes hitting, throwing things, or slaps, although most of this physical aggression does not result in a medical visit. Physical aggression in relationships tends to decline from high school through college and young adulthood. In heterosexual couples, there is no significant difference between the rates of male and female aggressors, unlike in adult relationships.
A: | psychological aggression | 9 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.24967831373214722,
0.794894814491272,
-0.26446646451950073,
-0.8356540203094482,
-0.5786817073822021,
-0.33677491545677185,
0.13929465413093567,
0.7951973676681519,
0.10100860893726349,
0.005221271421760321,
0.0658440887928009,
0.37496328353881836,
-1.0099002122879028,
-0.240747928619384... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Example: Question: Melbourne has sustained the highest population increase and economic growth rate in any Australian city according to what organization? (Answer: Australian Bureau of Statistics).
Example solution: Organization.
Example explanation: Here, the definition of the type "Organization" is "an organized body of people with a particular purpose" which aligns with "Australian Bureau of Statistics". So, this is a good answer.
Problem: Question: What percentage of the population was Caucasian in 1940? (Answer: 92%).
| Solution: Quantity. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.9162499308586121,
-0.13659608364105225,
-0.2785296142101288,
0.18063998222351074,
-0.01248249039053917,
-0.8471590280532837,
1.0092518329620361,
0.880772590637207,
-0.44903889298439026,
-0.16406914591789246,
-0.5301389098167419,
0.46708130836486816,
-0.5004323124885559,
0.209830537438392... |
Detailed Instructions: You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: ১৯৭২ চনৰ ২১ জানুৱাৰীত সেই সময়ৰ <MASK>ৰ খাচী হিলছ আৰু জয়ন্তীয়া হিলছ আৰু গাৰো হিলছ এই দুখন জিলা কেন্দ্ৰ কৰি মেঘালয় ৰাজ্য গঠন কৰা হয়। পূৰ্ণ ৰাজ্য হিচাপে মৰ্য্যাদা পোৱাৰ আগতে ১৯৭০ চনত মেঘালয় স্বায়ত্ব শাসিত অঞ্চল আছিল।
Option A: ৰাজ্য
Option B: অসম
Option C: কলকাতা
Option D: বাংলাদেশ
A: | অসম | 9 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | zs_opt | [
-0.23701132833957672,
0.9273397922515869,
0.040757909417152405,
-0.0677734985947609,
-0.0686948299407959,
-0.9563056230545044,
0.08677038550376892,
0.5311667919158936,
-0.10303451120853424,
-0.15684077143669128,
0.11185608804225922,
0.3065740466117859,
-0.23771488666534424,
0.3136701881885... |
Detailed Instructions: You will be given a context and a verb separated with a newline character. You have to decide if the given verb implies a hypothetical or conditioned action or not. We say a verb is hypothetical if it involves or is based on a suggested idea or theory. A verb is conditional if it appears in a conditional phrase and is dependent on something else. Note that an event that happened in the past or is happening now cannot be conditional. The output should be "Yes" if the verb is conditional or hypothetical and "No" otherwise.
Problem:It's possible that New York politics has never seen anything as crass as Eliot Spitzer's willingness to exploit the unfortunate murder of Slepian as a steppingstone for his own political ambitions, Berhrmann said. Several consultants agreed that there might (be) political hay to be made in Slepian's death but that it had to be done carefully.
Verb: be
Solution: | Yes | 8 | NIv2 | task457_matres_conditional_classification | zs_opt | [
-0.2718624472618103,
0.4891708493232727,
0.239726260304451,
0.48263055086135864,
-0.06292028725147247,
-0.3523592948913574,
0.769380509853363,
0.9907500743865967,
0.31492072343826294,
0.011443030089139938,
-0.4949740171432495,
0.3614395558834076,
-0.0686676949262619,
0.18066057562828064,
... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Let me give you an example: entity: arm
before: free
after: grasped
attr: state
The answer to this example can be: state of arm was free before and grasped afterwards
Here is why: The attribute state of the entity arm was free before and afterwards it was grasped hence the output.
OK. solve this:
entity: fire
before: burning
after: extinguished
attr: state
Answer: | state of fire was burning before and extinguished afterwards | 8 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
-0.19757133722305298,
0.5346683263778687,
-0.11748303472995758,
-0.46848365664482117,
-0.6241903901100159,
-1.7945395708084106,
0.43472427129745483,
0.9654788970947266,
0.09130626916885376,
-0.22462064027786255,
0.030675724148750305,
-0.2155395746231079,
-1.0139117240905762,
-0.45254686474... |
Detailed Instructions: Given a sentence in Italian, generate a new Italian 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.
Problem:È probabile che troverete un agnello in uno zoo della città.
Solution: | Sei bizzarro a trovare una scimmia in uno zoo della città. | 8 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.4042070209980011,
0.43599775433540344,
-0.014277343638241291,
0.08834323287010193,
-0.4926479458808899,
-0.6574411988258362,
0.45624852180480957,
1.3085559606552124,
-0.6527031064033508,
-0.6398186683654785,
-0.7463902235031128,
0.32115834951400757,
-0.9002857208251953,
0.46979799866676... |
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: CENTRAL AMERICA
Clue: "Do You Know the Way to" this capital city? Head due west from Puerto Limon
A: | san jose, costa rica | 7 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.0013344441540539265,
0.5735798478126526,
-0.482351690530777,
-0.030608905479311943,
-0.38469398021698,
0.07359528541564941,
0.45983266830444336,
0.3808795213699341,
-0.1651962697505951,
-0.14621520042419434,
-0.7870091199874878,
0.0007535540498793125,
-0.8533514738082886,
0.167138382792... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Q: English sentence: Put the pan in the oven pre-heated at 220 ° for a period of about 20 minutes. Stop the cooking to the appearance of gilding and always serve warm.
A: | Ilagay ang kawali sa hurno pre-pinainit sa 220 ° para sa isang panahon ng tungkol sa 20 minuto. Itigil ang pagluluto na ang itsura ng pagtubog at laging maglingkod mainit-init. | 9 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
-0.19152161478996277,
0.593839168548584,
-0.5584924221038818,
-0.45734935998916626,
-0.2007444053888321,
-1.5659470558166504,
0.5678986310958862,
0.34213584661483765,
-0.5961999893188477,
0.023624202236533165,
0.3061565160751343,
0.40859535336494446,
-0.8171709179878235,
-0.191481217741966... |
Translate the given Spanish text to English
The wrapper (12) is formed of a flexible sheet material.
La envoltura (12) es formada de un material de lámina flexible.
Apparatuses related to a beverage system.
Aparatos relacionados con un sistema de bebidas.
The container includes a lid.
| El contenedor incluye una tapa.
| 0 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-1.0713398456573486,
0.5663295388221741,
-0.36764296889305115,
-0.0724506676197052,
-0.6528326272964478,
-0.14886565506458282,
0.009864047169685364,
0.5634218454360962,
-0.4880467653274536,
-0.44978660345077515,
-0.10620168596506119,
-0.13232752680778503,
-0.6255009174346924,
0.55361098051... |
You will be given a definition of a task first, then some input of the task.
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: I was also delighted to hear the report this morning from Commissioner Nielson who has worked untiringly to get the right outcome to the negotiations.
Spanish:También me ha alegrado escuchar esta mañana el informe del Comisario Nielson, que ha trabajado incansablemente para conseguir que las negociaciones llegaran a buen puerto.
Output: | Yes | 1 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.21028709411621094,
0.30978885293006897,
0.31666237115859985,
0.2936011552810669,
0.4318387806415558,
-0.69438236951828,
0.5837502479553223,
0.5404912233352661,
0.25755995512008667,
0.05224766582250595,
0.059727635234594345,
0.1630885899066925,
-0.3637574315071106,
0.34292274713516235,
... |
You will be given a definition of a task first, then some input of the task.
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.
13, 20, ['8273', 'R', 'D', '6941', '8553', 'h', 'O', '8401', 'K', '983', '4911', 'X', 'q', '6287', '3101', 'Y', '7271', 'g', 't', '1235']
Output: | 5321tg1727Y10137826q | 1 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.09547802805900574,
0.010690750554203987,
-0.8562190532684326,
0.04629009589552879,
0.0045464616268873215,
-0.20499801635742188,
0.5216445922851562,
0.3743443489074707,
-0.5573169589042664,
0.05982964485883713,
-0.8967759609222412,
-0.3459383249282837,
0.26391729712486267,
-0.19877552986... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
Q: Sentence1: Kayla hadn't been to a social event in nearly three Year's. Sentence2: The longer she went without interacting, the more difficult it became. Sentence3: Her brother was nervous for her and took her to a therapist. Sentence4: Kayla told the therapist she was suicidal and asked for help.
A: | 2, She was suffering from crippling anxiety. | 9 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.6256438493728638,
1.0314412117004395,
0.15801650285720825,
-1.1951061487197876,
0.06394743174314499,
0.061708904802799225,
0.9060648679733276,
0.1750229150056839,
0.21515631675720215,
-0.01800644025206566,
-0.2866329252719879,
-0.22633177042007446,
-0.3738733232021332,
0.122341260313987... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Part 2. Example
Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Answer: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Explanation: The Spanish sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise
Toda esta complejidad, todo el recorrido hasta estas cosas maravillosas, los cerebros humanos, son una propiedad de un viejo y frío y complicado universo.
Answer: | 今の複雑で素敵な物の全ては — 人の頭脳などもそうです — 時間がたって冷たくなって複雑になった宇宙の特性です | 7 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.42162173986434937,
0.004971739370375872,
-0.16076381504535675,
-0.3349936008453369,
-0.38594159483909607,
0.5249675512313843,
0.2563672959804535,
0.31404972076416016,
-0.04717092216014862,
-0.8889972567558289,
-0.7675203084945679,
0.048105835914611816,
-0.9408679008483887,
-0.0439167618... |
Teacher:Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: La lance de charge est une grosse lance pouvant être «chargée» pour former une lame organique aiguisée qui peut être utilisée pour frapper des ennemis.
Student: | Charge Spear是一种大矛，可以被“充电”以形成可用于刺伤敌人的锐化有机刀片。 | 6 | NIv2 | task793_pawsx_french_chinese_translation | zs_opt | [
0.08866602927446365,
0.5982890129089355,
-0.06704255938529968,
-0.4363841414451599,
0.12713712453842163,
-0.4732796251773834,
0.7689224481582642,
0.6185014247894287,
0.04344264790415764,
-0.27944862842559814,
0.06385211646556854,
0.3637595772743225,
-0.7117291688919067,
0.7193759679794312,... |
In this task, you're given passages that contain mentions of places and we are supposed to find the answer to a given question. Craft one correct answer to the question given in input. Make sure your correct answer is consistent with the context, and properly gives the exact location where the query was performed.
In your answer, use as few words as possible from the given context. To be less repetitive, please vary your language for each question.
Sentence: Twilight Princess received the awards for Best Artistic Design, Best Original Score, and Best Use of Sound from IGN for its GameCube version. Both IGN and Nintendo Power gave Twilight Princess the awards for Best Graphics and Best Story. Twilight Princess received Game of the Year awards from GameTrailers, 1UP.com, Electronic Gaming Monthly, Game Informer, Games Radar, GameSpy, Spacey Awards, X-Play and Nintendo Power. It was also given awards for Best Adventure Game from the Game Critics Awards, X-Play, IGN, GameTrailers, 1UP.com, and Nintendo Power. The game was considered the Best Console Game by the Game Critics Awards and GameSpy. The game placed 16th in Official Nintendo Magazine's list of the 100 Greatest Nintendo Games of All Time. IGN ranked the game as the 4th-best Wii game. Nintendo Power ranked the game as the third-best game to be released on a Nintendo system in the 2000s decade.
Question: Where did Twilight Princess place among Wii titles according to IGN?
4th
Sentence: Her fourth studio album 4 was released on June 28, 2011 in the US. 4 sold 310,000 copies in its first week and debuted atop the Billboard 200 chart, giving Beyoncé her fourth consecutive number-one album in the US. The album was preceded by two of its singles "Run the World (Girls)" and "Best Thing I Never Had", which both attained moderate success. The fourth single "Love on Top" was a commercial success in the US. 4 also produced four other singles; "Party", "Countdown", "I Care" and "End of Time". "Eat, Play, Love", a cover story written by Beyoncé for Essence that detailed her 2010 career break, won her a writing award from the New York Association of Black Journalists. In late 2011, she took the stage at New York's Roseland Ballroom for four nights of special performances: the 4 Intimate Nights with Beyoncé concerts saw the performance of her 4 album to a standing room only.
Question: Where did Beyoncé perform for four nights of standing room only concerts in 2011?
New York's Roseland Ballroom
Sentence: In June 1837 Chopin visited London incognito in the company of the piano manufacturer Camille Pleyel where he played at a musical soirée at the house of English piano maker James Broadwood. On his return to Paris, his association with Sand began in earnest, and by the end of June 1838 they had become lovers. Sand, who was six years older than the composer, and who had had a series of lovers, wrote at this time: "I must say I was confused and amazed at the effect this little creature had on me ... I have still not recovered from my astonishment, and if I were a proud person I should be feeling humiliated at having been carried away ..." The two spent a miserable winter on Majorca (8 November 1838 to 13 February 1839), where, together with Sand's two children, they had journeyed in the hope of improving the health of Chopin and that of Sand's 15-year-old son Maurice, and also to escape the threats of Sand's former lover Félicien Mallefille. After discovering that the couple were not married, the deeply traditional Catholic people of Majorca became inhospitable, making accommodation difficult to find. This compelled the group to take lodgings in a former Carthusian monastery in Valldemossa, which gave little shelter from the cold winter weather.
Question: Where did Frédéric and Sand venture to after Majorca became unlivable when it was discovered they were not married?
| Valldemossa
| 0 | NIv2 | task741_lhoestq_answer_generation_place | fs_opt | [
0.5061638355255127,
0.6013150215148926,
-0.7518564462661743,
0.08668041229248047,
0.650843620300293,
-0.9216058850288391,
0.6547200679779053,
0.41513514518737793,
-0.004871525801718235,
0.48542091250419617,
0.2484542578458786,
0.45508861541748047,
-0.3913120925426483,
-0.18281900882720947,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.
selected sentence: Rita will now only go on the trails when she is with friends.
Solution: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends
Why? The story is about Rita being scared in her experience, so the answer is correct.
New input: story: Jeb was always late for work. He always hit the snooze button when his alarm rang. His boss was going to fire him. Jeb decided to put a cactus on his alarm clock. The painful wake up made it so that he was never late again.
selected sentence: He always hit the snooze button when his alarm rang.
Solution: | Jeb want(s) to hit snooze >Motivates> Jeb hits snooze | 0 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.36238691210746765,
0.5728702545166016,
-0.5486346483230591,
0.5653970241546631,
-0.2989763021469116,
-0.8333229422569275,
0.9360909461975098,
0.7308821678161621,
-0.41374075412750244,
-0.30066248774528503,
-0.6304397583007812,
-0.18744391202926636,
0.038627780973911285,
-0.00177942623849... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Input: Consider Input: I mean, these are minor inconveniences.
Output: Są to małe niedogodności.
Input: Consider Input: Performance, if you are missing it, you only have the memory, or the story of somebody else telling you, but you actually missed the whole thing.
Output: Jeśli nie weźmie się udziału w performansie, zostaną tylko wspomnienia lub historia kogoś, kto o nim opowie, ale tak naprawdę straci się wszystko.
Input: Consider Input: But it was earlier this year, when one of our original members caused us to shift focus in the organization.
| Output: Jednak wcześniej tego roku, jeden z członków naszej organizacji sprawił, że skupiliśmy się na czymś innym.
| 2 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.43795114755630493,
1.0544226169586182,
-0.12139271199703217,
-0.037104472517967224,
0.06816218048334122,
-1.2391078472137451,
0.8730792999267578,
-0.41585075855255127,
0.5480588674545288,
0.26022666692733765,
-0.1232110857963562,
0.6939111948013306,
-0.7071787118911743,
0.11007165908813... |
Detailed Instructions: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
See one example below:
Problem: Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Solution: English
Explanation: This is an English sentence.
Problem: Text: 'Mi dispiace, non so rispondere a questa domanda. Hai mai riflettuto sull’importanza che ha, per te, mangiar bene e sentirti in forma?'
Solution: | Italian | 4 | NIv2 | task896_miam_language_classification | fs_opt | [
0.12408728152513504,
0.6511223316192627,
0.7447294592857361,
-0.43555665016174316,
-0.011037472635507584,
-1.0157606601715088,
0.8372818827629089,
0.6123896837234497,
-0.00721209030598402,
-0.2882135808467865,
0.1753643900156021,
0.4739319086074829,
-0.8059267997741699,
-0.1099221706390380... |
Definition: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Input: I may have actually gotten hold of a case in its early stages.
Output: | Original | 2 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.4020722210407257,
0.055961914360523224,
0.38200634717941284,
0.32441404461860657,
0.07704323530197144,
0.3532780408859253,
0.464662104845047,
0.6088387966156006,
0.6570724248886108,
-0.1551486998796463,
-1.1793971061706543,
-0.5480350255966187,
-0.6064388155937195,
0.23588436841964722,
... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. 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. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
Passage: My sister is always catty when i tell her about my achievements | Gender | 0 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.2444724440574646,
0.8603663444519043,
-0.24478095769882202,
0.5304198265075684,
0.10025902092456818,
-0.007568661589175463,
0.6039984226226807,
0.6793851852416992,
0.686203122138977,
-0.22386635839939117,
-0.6926833391189575,
-0.4036675989627838,
-0.5307938456535339,
-0.0655871480703353... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[19, -63, 78, 72, 45, -81, 28]
[82, 141, 6, 27, 126, 109]
[-29, -33, 12, -61]
[4, 45, 73]
[87, -37, 87, 24, 65, -80, 7, -98, 17, 63, -57, 20]
| [124, 124, 63, 41, 145, 87, 105, 115, 46, 120, 77]
| 0 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.8285027742385864,
0.37938830256462097,
-0.3171377182006836,
-0.41477757692337036,
-0.5217570066452026,
-0.35844457149505615,
0.7033318281173706,
0.3585957884788513,
0.12358163297176361,
-0.611290693283081,
-0.5406417846679688,
-0.6781858205795288,
-0.03593426197767258,
-0.21150216460227... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Example: i don't work i could take your shift i am a student
Example solution: other
Example explanation: In this dialogue someone is informing another person that they could take their shift. There is no happy, sad, or angry emotion in this text. So this is a good example.
Problem: shut up im nt talking what nonsense did u just say
| Solution: angry | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.741671621799469,
0.4956789016723633,
0.7859734892845154,
-0.7355458736419678,
-0.09532955288887024,
-0.29201632738113403,
0.5472263097763062,
0.22212404012680054,
0.8908826112747192,
-0.06171685457229614,
0.10915157198905945,
-0.5202897787094116,
-0.6547163724899292,
-0.3702925145626068... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
PROBLEM: אני קורא לדגם "" זמן לחטיף "". אפשר ליצור יותר מחרקים.
SOLUTION: 「スナックタイム」です昆虫以外のものも出来ます
PROBLEM: אז התחלנו את המסע המיוחד שלנו, והתחלנו את המסע בדרך לא שגרתית.
SOLUTION: そのためにナノパッチを広めるようとしています変わったやり方で広めようとしています
PROBLEM: אה כן, אם רציתם, גם היה מספר אתכם — קצר בצדדים, ארוך מאחור — ואם כבר, גם עוקר לכם שן.
SOLUTION: | そしてお望みならもちろん髪も切ってくれましたおまけに歯だって抜いてくれます
| 8 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.481362909078598,
-0.3898542821407318,
0.40481072664260864,
-0.15696187317371368,
-0.5246369242668152,
-0.02713249996304512,
1.1191091537475586,
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-0.5977546572685242,
-0.7031464576721191,
-0.065055713057518,
-0.7713527679443359,
-0.05440096929669... |
Teacher: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Ok, the national drink of Scotland is whisky.
Solution: assistant
Reason: It is pretty straightforward. It is knowledge sharing, and the assistant explains the question asked by the user.
Now, solve this instance: interesting what can you tell me about its transportation?
Student: | user | 2 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
0.13979285955429077,
0.3824176490306854,
-0.22060713171958923,
-0.6754316687583923,
-0.2679136097431183,
-0.27021920680999756,
0.9223945736885071,
-0.3089067041873932,
0.7501630187034607,
-0.1889234185218811,
0.1447226107120514,
-0.025951243937015533,
-0.12029603123664856,
0.13580229878425... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
Example output: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy ർജ്ജ ഉപഭോഗത്തിൽ മാറ്റം വരുത്തിയിട്ടുണ്ട്.
Example explanation: Correct translation for given sentence. Input sentence means 'There has been a change in energy consumption from the west to east.' which is the same as the output sentence.
Q: ਸਾਡੇ ਪੇਂਡੂ ਅਰਥਚਾਰੇ ਨੂੰ ਕਿੰਨੀ ਤਾਕਤ ਮਿਲੇਗੀ?
A: | നമ്മുടെ ചെറുകിട സംരംഭകര്ക്ക് ഉത്തേജനം ലഭിക്കും; | 3 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.2698141932487488,
0.8766570687294006,
0.0940474271774292,
-0.9060782194137573,
-0.7295205593109131,
-1.4347631931304932,
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-0.9183351397514343,
-0.2737993597984314,
-0.6898311376571655,
-0.39436548948287964,
... |
TASK DEFINITION: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
PROBLEM: Robin put their hand on Addison's wrist so Addison could not escape the situation.
SOLUTION: What will happen to Robin?
PROBLEM: So , I'm going to just go ahead and give the Phillies the division . I'm pretty sure a company softball team could beat the Nationals at this point . In the Wild Card race , the Mets have a one game lead over the Brewers . Both teams are doing their best to choke away any chances they have , especially the Brewers . But , they fired their manager about a week ago and it seems to have worked .
SOLUTION: Why was the Brewer's manager fired ?
PROBLEM: Cameron bought some makeup at the store and tried some on in the dressing room.
SOLUTION: | What does Cameron need to do before this?
| 8 | NIv2 | task596_mocha_question_generation | fs_opt | [
-0.06279555708169937,
0.5168836116790771,
-0.12459339201450348,
-0.22066012024879456,
0.0784953311085701,
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0.29630404710769653,
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0.9908040165901184,
-0.02940833382308483,
-0.5095827579498291,
0.5208203196525574,
0.025080464780330658,
0.088796742260456... |
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
[Q]: ['e', '2239', 'l', '8309', 'i', '2613', 'i', '611', '6481', 'j', 'v', '1867', '415', '269', '8053', '3369', 'q', 't', '2303', '7729', '1059', '6135', '3299', 'd', '6855', '207', '6227', '7859']
[A]: d, e, i, j, l, q, t, v
[Q]: ['y', 'b', 'r', 'f', '3745', 'n', '2921', '8133', 'r']
[A]: b, f, n, r, y
[Q]: ['c', 'o', 'u', '4643', '4105', 'f']
[A]: | c, f, o, u
| 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
0.26571208238601685,
-0.12389061599969864,
-0.32183629274368286,
0.05540057644248009,
0.24971336126327515,
-0.5299665927886963,
0.6856610774993896,
0.42826706171035767,
-0.7705507278442383,
0.20701707899570465,
-0.4664369225502014,
-0.3763308525085449,
-0.5771102905273438,
0.26074188947677... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
One example is below.
Q: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home.
When Kang, a junior studying computer science at the University of Michigan, heard that the refugee pictured and his family were relocating to his hometown of Troy, Mich., he said he knew he had to help.
“I was really inspired by how intelligent he was and I knew a lot of people wanted to welcome him, so I thought, why not it be me?” he said.
On the Humans of New York Facebook page with over 16 million likes — including comments from President Obama — the seven-part picture series’ captions detail one Syrian scientist and his family’s tale of loss after a missile strike destroyed their home, forcing them to to flee to Turkey, now with plans of coming to the United States.
“Everything ended for us that day. That was our destiny. That was our share in life,” the scientist said. Battling stomach cancer, the loss of a home, career and seven family members, the man, whose name remains confidential to protect his identity as a refugee, expressed his hope for a new life in the United States.
“I learned today that I’m going to Troy, Michigan,” he said. “I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science. I just want to get back to work. I want to be a person again. I don’t want the world to think I’m over. I’m still here.”
Knowing that refugees come to the United States with little more than they can carry, Kang quickly organized a crowdfunding campaign to help establish the man in his new home.
In four days, the GoFundMe page has raised over $16K in donations from over 700 people. On Saturday afternoon, actor Edward Norton also began a fundraiser for the scientist, raising even more for the refugee who says he “just wants to be a person again.”
“The response has been overwhelmingly positive,” said Kang. “A lot of people thanked me for doing a nice thing but I really feel like I was doing what anyone else would have done.”
Kang said he’s received many messages from people expressing their gratitude, those who want to reach out to the man personally, as well local companies interested in working with the scientist. This includes invitations to lecture at local colleges, research job opportunities and potential help from local medical facilities in treating the man’s stomach cancer.
“There’s definitely a lot of interest in helping him out,” he said.
The biggest concern, said Kang, are those skeptical of how the money will reach the man.
Kang, who has successfully crowdfunded in the past, is working closely with GoFundMe, the local refugee relocation agency Lutheran Social Services of Michigan, and is in communication with the Humans of New York staff to make sure all funding goes to the scientist.
In the end, Kang said he just hopes the scientist receives the welcome he deserves.
“If I could talk to him right now, I’d just tell him how sorry I am for everything he’s been through and that he’s coming to a great place. One of the things he said that resonated with me the most is that ‘I hope Troy is a place that appreciates science.’
I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist and we can’t wait to have him.”
Oona Goodin-Smith is a student at Oakland University and a member of the USA TODAY College contributor network. ||||| I saw this story on one of my favorite sites, Humans of New York, and it moved me to tears. This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world. If we don’t welcome people like this into our communities and empower his dream of making an impact with his life, then we’re not the country we tell ourselves we are. Let’s reject the 'anti-human’ voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let’s show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
Everything we raise here will go to help this family so that the father can get the medical treatment he needs to live and pursue his work, and his family can build a new stable life after their tragedy, and…as the Scientist beautifully expresses…to support his dream of contributing to the world.
Thanks to Humans of New York for sharing these stories. Thanks to the team at CrowdRise for putting this together and figuring out how to get even the credit card transaction fees covered so we can get the maximum to the family.
Thanks to everyone who rallies together to create the power of the crowd. If enough of us kick in the price of two frappucinos, we can probably transform the experience of this family and show them that life can deliver healing and kindness, not just heartbreak.
Thanks to Benevolent, all donations are tax-deductible. We will work with Benevolent to use all donated funds to help this family and will seek to use any excess or unused funds to help the other 11 profiled in the HONY ‘Syrian American’ series.
Edward Norton ||||| DETROIT, MI -- Moved to tears by a Humans of New York feature on a Syrian refugee fleeing to Metro Detroit, Hollywood actor Edward Norton launched an online fundraiser that had raised nearly $450,000 for the widower and his four children as of Thursday afternoon.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," the man told NBC News after hearing about the fundraiser's success. "There are people outside who need that money much more than me."
The man asked NBC to refer to him as "Abu Ammar," a fake named used to protect his relatives who remain in Syria. He's known to many on the Internet simply as "The Scientist," which is also his profession.
The refugee's family was scheduled to arrive in Troy, a Detroit suburb, Thursday. He and four surviving children spent the last two years in Instanbul, Turkey. They fled civil-war-torn Syria after the man's wife and one of his daughters were killed in a missile attack on April 6, 2013.
His is one of 12 families featured by Humans of New York and cleared to resettle in the U.S.
"I learned today that I'm going to Troy, Michigan," the man told Humans of New York. "I know nothing about it. I just hope that it's safe and that it's a place where they respect science. I just want to get back to work. I want to be a person again. I don't want the world to think I'm over. I'm still here."
The story made rounds throughout the Internet and even garnered a response from President Barack Obama's official Facebook page:
As a husband and a father, I cannot even begin to imagine the loss you've endured. You and your family are an inspiration. I know that the great people of Michigan will embrace you with the compassion and support you deserve. Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here. Welcome to your new home. You're part of what makes America great.
,Norton, known for his roles in movies like "Fight Club" and "Birdman," wrote in the description of his online fundraiser:
If we don't welcome people like this into our communities and empower his dream of making an impact with his life, then we're not the country we tell ourselves we are. Let's reject the 'anti-human' voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let's show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
(6/7) “I had no problems before the bombing. I think the cancer came from my sadness and my stress. It’s in my... Posted by Humans of New York on Tuesday, December 8, 2015 ||||| ISTANBUL — The grieving refugee who touched hearts as "The Scientist" on the Humans of New York blog only mustered a brief smile when told that a Hollywood star had helped raise $450,000 for him.
Hours before flying to Michigan to start a new life in the U.S. on Thursday, the cancer-stricken Syrian civil engineer glanced down.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," he said after NBC News revealed the crowdfunding appeal. Oscar-nominated actor Edward Norton was moved to tears after reading the refugee's biography on the photography site last week and launched the fundraiser.
"There are people outside who need that money much more than me," The Scientist said, displaying the sort of compassion and humility that helped his story go viral.
The Scientist, who asked NBC News to refer to him as "Abu Ammar" to protect family in Syria, said his life was shattered by a bomb that killed his wife and daughter just under three years ago.
He was later diagnosed with stomach cancer, and has had to care for five remaining children.
They include a teenage son, who is still reeling after watching his mother die, and a daughter who carries inside of her shrapnel from the attack on April 6, 2013.
"When a bomb drops you don't know where it comes from," he said. "There is no question our lives changed after that ... 180 degrees. I am mentally tired, in overwhelming sadness."
“ As long as there are good people in the world … then we can stop this bloodshed”
On Thursday, Abu Ammar and four of his children flew to Troy, Michigan, as part of a United Nations refugee resettlement program.
For about two years, the family had been living close to destitution in Turkey. But the drive to succeed still lingers, Abu Ammar said.
"I've had ambitions since I was a child, and right now I'm still that same child with the same ambitions," he said. "But I still have a message — sometimes when I'm talking to myself I say, 'No, I'm not supposed to die. I need to live long enough to realize my message to humanity.'"
Abu Ammar's story on Humans of New York, a popular blog started in 2010 that spawned a bestselling book, prompted an outpouring of compassion. Even President Barack Obama contributed, calling Abu Ammar and his family an "inspirations" on HONY's Facebook page.
"Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here." Obama wrote. "Welcome to your new home. You're part of what makes America great."
Last night President @BarackObama wrote a very sweet welcome note to the scientist in Tuesday's story. pic.twitter.com/ZGrn3gOdR7 — Brandon Stanton (@humansofny) December 10, 2015
Norton, who starred in "Birdman," "Fight Club" and "American History X," set out to help pay The Scientist's medical expenses.
"This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world," Norton wrote.
The resettlement of Syrian and Muslim refugees in the United States is controversial, especially in the aftermath of attacks by Islamic extremists in Paris and San Bernardino. Some politicians — notably GOP presidential hopeful Donald Trump — have called for a ban on Muslims entering the country.
Abu Ammar told NBC News he didn't know anything about the debate over Muslims and immigration raging in the U.S. He also didn't have a solution to the war raging in his home country.
"I don't like to get into politics because I am a man of science, and I can separate science and politics completely," he said. "But as long as there are good people in the world, and everyone looks into his or her conscience, then we can stop this bloodshed."
Abu Ammar added: "No one benefits from people dying, and wars overall never benefit anybody — so let's hope God can help everyone and put out this fire." |||||
A: A Syrian refugee whose moving story went viral earlier this month starts his new life in Troy, Michigan, on Thursday, NBC News reports. The refugee—who wants to keep his real name out of the media to protect family members still in Syria—is known as "The Scientist" on the blog Humans of New York, where he was first profiled. "I learned today that I’m going to Troy, Michigan," The Scientist told HONY. "I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science." According to MLive, The Scientist left Syria in 2013 after a bomb killed his wife and one of his daughters. Since then, he's been diagnosed with stomach cancer and was barely scraping by in Turkey. Despite being "in overwhelming sadness," he and his surviving children are hoping for a new start in the US, he tells NBC. Thanks to his story—which even got the attention of President Obama—The Scientist will have some help to get that new start. NBC reports actor Edward Norton was moved to tears after reading The Scientist's story and started a crowdfunding page that has raised nearly $450,000. "I didn't hear about it, but I want to thank him very much from the humanity perspective," The Scientist says. "There are people outside who need that money much more than me." A Michigan college student was also inspired to help after hearing The Scientist would be moving to his hometown, according to USA Today. His fundraising page has raised more than $16,000. "I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist, and we can’t wait to have him," Daniel Kang says.
Rationale: This is a good example. The output correctly summarizes the articles.
Q: MADRID — Dipping into a bucket filled with Mahou beers, Jorge Rodríguez and his friends hunkered down on a recent Wednesday night to watch soccer at Mesón Viña, a local bar. At a nearby table a couple were cuddling, oblivious to others, as a waitress brought out potato omelets and other dinner orders. Then the game began. At 10 p.m.
Which is not unusual. Even as people in some countries are preparing for bed, the Spanish evening is usually beginning at 10, with dinner often being served and prime-time television shows starting (and not ending until after 1 a.m.). Surveys show that nearly a quarter of Spain’s population is watching television between midnight and 1 a.m.
“It is the Spanish identity, to eat in another time, to sleep in another time,” said Mr. Rodríguez, 36, who had to get up the next morning for his bank job.
Spain still operates on its own clock and rhythms. But now that it is trying to recover from a devastating economic crisis — in the absence of easy solutions — a pro-efficiency movement contends that the country can become more productive, more in sync with the rest of Europe, if it adopts a more regular schedule.
Photo
Yet what might sound logical to many non-Spaniards would represent a fundamental change to Spanish life. For decades, many Spaniards have taken a long midday siesta break for lunch and a nap. Under a new schedule, that would be truncated to an hour or less. Television programs would be scheduled an hour earlier. And the elastic Spanish working day would be replaced by something closer to a 9-to-5 timetable.
Underpinning the proposed changes is a recommendation to change time itself by turning back the clocks an hour, which would move Spain out of the time zone that includes France, Germany and Italy. Instead, Spain would join its natural geographical slot with Portugal and Britain in Coordinated Universal Time, the modern successor to Greenwich Mean Time.
“We want to see a more efficient culture,” said Ignacio Buqueras, the most outspoken advocate of changing the Spanish schedule. “Spain has to break the bad habits it has accumulated over the past 40 or 50 years.”
For the moment, Spain’s government is treating the campaign seriously. In September, a parliamentary commission recommended that the government turn back the clocks an hour and introduce a regular eight-hour workday. As yet, the government has not taken any action.
A workday abbreviated by siestas is a Spanish cliché, yet it is not necessarily rooted in reality. Instead, many urban Spaniards complain of a never-ending workday that begins in the morning but is interrupted by a traditional late-morning break and then interrupted again by the midday lunch. If workers return to their desks at 4 p.m. (lunch starts at 2), many people say, they end up working well into the evening, especially if the boss takes a long break and then works late.
“These working hours are not good for families,” said Paula Del Pino, 37, a lawyer and the mother of two children, who said an 8-to-5 workday would ease the pressure. “Spanish society is still old-fashioned. The ones who rule are old-fashioned, and here, they like it like it is.”
The national schedule can be traced to World War II, when the Spanish dictator Francisco Franco moved the clocks forward to align with Nazi Germany, as also happened in neighboring Portugal. After the defeat of Hitler, Portugal returned to Greenwich Mean Time, but Spain did not.
At the time, Spain was a largely agrarian nation, and many farmers set their schedules by the sun, not by clocks. Farmers ate lunch and dinner as before, even if the clocks declared it was an hour later. But as Spain industrialized and urbanized, the schedule gradually pushed the country away from the European norm.
“People got stuck in that time,” said Javier Díaz-Giménez, an economist. “Eventually, the clocks took over.”
In the early decades of his rule, Franco ordered radio stations to broadcast reports of news and propaganda twice a day to coincide with mealtimes at about 2:30 p.m. and 10 p.m. Television arrived in the 1950s and followed the same mandate, with daily programming on the lone government channel ending at midnight with the national anthem and a portrait of Franco.
“Then everyone would go to bed and procreate,” said Ricardo Vaca, chief executive of Barlovento Communications, a media consultancy in Madrid.
By the 1990s, with Spain’s post-Franco transition to democracy underway, television also began evolving. Mr. Vaca said new private networks, eager for profits on popular shows, made programs longer and pushed prime time into the early morning hours. Now, he added, surveys show that 12 million people are still watching television at 1 a.m. in Spain.
Changing the prime-time schedule is one of the recommendations bundled together by Mr. Buqueras, president of the Association for the Rationalization of Spanish Working Hours. At his office in Madrid, Mr. Buqueras burst into a conference room and immediately checked his watch.
“Thank you for being on time!” he declared.
Mr. Buqueras argues that changing the Spanish schedule would be a boon to working mothers, allow families more free time together and help Spain’s economic recovery. “If Spain had a rational timetable, the country would be more productive,” he said.
Whether an earlier, more regimented schedule will translate into higher productivity is a matter of dispute. Mr. Buqueras’s group says Spanish workers are on the job longer than German workers but complete only 59 percent of their daily tasks. Measuring productivity is an imprecise science, and while many experts say Spanish productivity is too low, Spain actually outperforms many European countries in some calculations, according to Eurostat, the European Union’s statistical agency.
“These three-hour siestas don’t exist,” said Carlos Angulo Martín, who oversees social analysis at the National Statistics Institute in Madrid. Nor are habits uniform across the country, he said, noting that in the Catalonia region, mealtimes and work schedules are aligned more with those of other European countries.
María Ángeles Durán, a leading sociologist with the Spanish National Research Council, is skeptical that changing the time zone will reverse low productivity, which she attributes more to the structure of the service-oriented economy and a lag in technology. But she agreed that normalizing the work schedule would help women: She cited a survey she conducted of female lawmakers in Europe, who complained that men deliberately scheduled important meetings in the early evening when women were under pressure to return home.
“For men, this is perfect,” Ms. Durán said. “They arrive home and the children have already had their baths! Timetables can be used as a sort of weapon.”
At the Mesón Viña bar, Mr. Rodríguez and his friends contemplated the Spanish clock. One friend, Miguel Carbayo, 26, was appalled at the notion of a nap-free lunch. He had worked as an intern in the Netherlands, where his co-workers arrived at 8 and left at 5, with a half-hour to munch on a sandwich for lunch, a regimen he found shocking.
“Reduce lunchtime?” he said. “No, I’m completely against that. It is one thing to eat. It is another thing to nourish oneself. Our culture and customs are our way of living.”
But, he admitted, a shorter nap might be acceptable. “They say 20 minutes is enough to boost productivity,” he said. ||||| In the midst of a crippling economic crisis that has left more than five million citizens unemployed—leaving a staggering 52% percent of people under 25 out of work—Spain's government is looking to change both culture and time in order to reverse the financial decline.
A proposal to potentially boost both productivity and efficiency in the Western European country suggests regulating dining hours and putting Spain back on Coordinated Universal Time along with England and Portugal, following its natural geographic zone. This wouldn't be the first time Spain has adapted to a new time zone—during WWII, Franco moved Spain's clocks forward to match up with Germany, and the shift was never changed back.
Though several restaurants have already shut down as a result of the poor economy, a different tack is being taken regarding Spaniards' at-home dining hours. Instead of a long mid-day siesta after lunch, citizens would be encouraged to cut lunch down to an hour or less, TV shows would be programmed earlier, and Spain would see a more standard 9-to-5 workday. This means an earlier bedtime and less languorous meals.
Whether the Spanish government will make the time zone change is still hard to tell—a parliamentary report published in September of last year revealed Spaniards to be less productive and more tired than other European nations, but the government (perhaps by force of habit) is still dragging its feet.
[Image via AP] |||||
A: | In Spain, grappling with economic crisis could require a major cultural shift. Activists are pushing to align the country's schedule with its neighbors, an effort that would require cutting daily siestas—including lunch and a nap—to just an hour. On top of that, the campaigners would turn the clocks back an hour to match those in Britain and Portugal, rather than France and Germany. "Spain has to break the bad habits it has accumulated over the past 40 or 50 years," an activist tells the New York Times. Last year, Gawker notes, an official report showed Spanish people were both more tired and less productive than their European peers. A parliamentary commission has backed the clock shift and an eight-hour workday, though no official changes have been made. As it stands, the Times calls Spain "land of 10pm dinners," and notes that a quarter of the country is watching TV between midnight and 1am, an hour that's still considered prime time. Traditionalists are against a shortened midday break: "It is one thing to eat. It is another thing to nourish oneself," says one man. But others say the current schedule creates an interminable workday, and a switch would actually mean more family time. "These working hours are not good for families," says a working mom. "Spanish society is still old-fashioned. The ones who rule are old-fashioned, and here, they like it like it is." | 9 | NIv2 | task1291_multi_news_summarization | fs_opt | [
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0.6861208081245422,
0.05012347176671028,
0.36023619771003723,
-0.27184605598449707,
0.48451012372970... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Example Input: Sentence: Food good {{ , }} service poor
Word: ,
Example Output: ,
Example Input: Sentence: She is and excellent doctor {{ to }} have on one 's team .
Word: to
Example Output: TO
Example Input: Sentence: As for Ted , things are still going well although I have n't see him at all this week {{ ( }} we are two very busy people ) .
Word: (
Example Output: | -LRB-
| 3 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.11519849300384521,
0.30594602227211,
-0.00012124574277549982,
0.2817939817905426,
0.07358630001544952,
-0.7186775207519531,
0.6937915086746216,
0.9227727651596069,
-0.7467470169067383,
-0.26998886466026306,
-0.19181381165981293,
0.23231211304664612,
-0.22178414463996887,
0.10462366044521... |
Teacher: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Problem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the rate of interest being the same in both the cases . the rate of interest is
Options: a ) 15 % , b ) 14.25 % , c ) 6.06 % , d ) 10.5 % , e ) 11.5 %
Solution: c
Reason: "explanation : the difference between compound interest and simple interest on rs . p for 2 years at r % per annum = ( r ã — si ) / ( 2 ã — 100 ) difference between the compound interest and simple interest = 340 - 330 = 10 ( r ã — si ) / ( 2 ã — 100 ) = 10 ( r ã — 330 ) / ( 2 ã — 100 ) = 10 r = 6.06 % answer : option c"
Now, solve this instance: Problem: how much 45 % of 60 is greater than 35 % of 40 ?
Options: a ) 18 , b ) 13 , c ) 15 , d ) 17 , e ) 71
Student: | b | 2 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.545456051826477,
-0.25677311420440674,
-0.4168127775192261,
-0.6825151443481445,
-0.18909838795661926,
-0.9961376190185547,
1.4860217571258545,
1.2177767753601074,
0.026195932179689407,
0.08746858686208725,
-0.06384491920471191,
0.3109560012817383,
-1.095233678817749,
-0.3921148777008056... |
Detailed Instructions: In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
Q: [ 54.454 31.027 68.78 8.14 -59.838 7.661 -31.207 72.19 2.868]
A: | 72.19 | 9 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.24799777567386627,
-0.025294112041592598,
-0.19847439229488373,
0.64638751745224,
0.06997136771678925,
-0.6205518841743469,
0.9166693687438965,
0.9804520606994629,
-0.08074428141117096,
-0.34109097719192505,
-0.5663749575614929,
0.2895333170890808,
-0.010586995631456375,
0.01403356622904... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: E os outros, tedes visto algún neno.
Student: | و بقيتكم قد شاهد أطفالا. | 6 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.5125174522399902,
0.5214805603027344,
-0.05359191820025444,
-1.1562846899032593,
-0.16393598914146423,
-0.21033769845962524,
-0.01881488412618637,
0.8311532139778137,
0.06794749200344086,
0.19878363609313965,
-0.3921225666999817,
-0.6252869367599487,
-0.8599075675010681,
-0.348176658153... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
One example: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse onions in sieve under cold running water; drain.', 'Mix together ingredients in a small bowl; allow flavors to meld over 1 hour period before serving.', 'Serve as table condiment with Indian foods, samosas, pakoras, along with other chutneys.'
Solution is here: Indian Hot Onion Relish
Explanation: By knowing the ingredients and its recipe, the title of the dish is predicted correctly.
Now, solve this: ingredients: '1 loaf cinnamon-raisin bread, cubed', '1 packages cream cheese, cubed and room tempature (8 oz block)', '8 eggs, lightly beaten', '1 1/2 cup half and half cream', '1 cup sugar', '1/2 cup maple syrup', '2 tbsp vanilla extract', '1 tbsp cinnamon', '1 *** 1/8 teaspoon nutmeg', '1 *** Sasha's Berry Butter from my profile can be served with while its warm... take out butter and let it get room tempature so that it is soft.',<sep> directions: 'place 1/2 the bread cubes in buttered 13x9 casserole pan.', 'put cream cheese cubes and top with remaining bread.', 'mix the remain ingredients in a bowl and pour over bread... cover and refrigerate overnight.', 'remove from refrigerator 30 minutes before baking .....', 'bake at 350 for 30 minutes covered.... uncover and bake for 15-20 minutes ..', 'it is done when I knife inserted near the center comes out clean!!', '!', '*** perfect for special occasions....'
Solution: | Christmas Morning French Bread | 6 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8534958362579346,
0.9082121253013611,
-0.2775483727455139,
0.9140225648880005,
0.18293529748916626,
-0.639693021774292,
0.22616414725780487,
0.8848580121994019,
-0.3438708782196045,
-0.3929259181022644,
-0.038948800414800644,
0.37232738733291626,
-0.33107566833496094,
-0.0266572944819927... |
Definition: In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Input: Vitabu vilianguka kwenye kabati la vitabu.
(1)Rafu zilikuwa zimefunikwa na vumbi.(2)Tetemeko la ardhi lilitikisa kabati la vitabu.
Output: | 2 | 2 | NIv2 | task1174_xcopa_commonsense_reasoning_sw | zs_opt | [
-0.4422749876976013,
0.6750143766403198,
0.12956175208091736,
0.03695745766162872,
-0.4122745394706726,
-0.32144227623939514,
0.6824413537979126,
0.6489557027816772,
0.7895065546035767,
-0.1387752890586853,
-0.6263251304626465,
-0.1021324098110199,
-0.7498407363891602,
0.2954113483428955,
... |
You will be given a definition of a task first, then some input of the task.
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
find the Document_ID, Template_ID of Documents table for which Document_Name equals Welcome to NY
Output: | SELECT Document_ID , Template_ID FROM Documents WHERE Document_Name = "Welcome to NY" | 1 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.5065857768058777,
0.696029782295227,
-1.092289686203003,
0.7937321662902832,
-0.421572744846344,
-0.1526903212070465,
0.6079643368721008,
0.8979157209396362,
-0.13842515647411346,
0.33565133810043335,
0.33343833684921265,
0.2857963740825653,
-0.15825411677360535,
0.49584463238716125,
0... |
You will be given a definition of a task first, then some input of the task.
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: The book was written by progressives as an attempt to rewrite history about the Christian heritage of the Americans who signed the Declaration of Independence and Constitution. This is not a scholarly work. It has no footnotes for reference. It was debunked by scholars the next year after it was written. It is an interesting reading to understand the effort that the authors and the people they represent would go to to advance their political agenda. It is a very unfactual book that distorts truth. With this understanding, people should read scholarly books to understand the Christian legacy of these people.
Polarity: Negative
Output: | True | 1 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.19113220274448395,
0.08443121612071991,
0.4464220702648163,
-0.0004900859203189611,
0.3209418058395386,
0.048439208418130875,
0.977905809879303,
0.5756198167800903,
0.5377005934715271,
0.474520742893219,
-0.10597798228263855,
-0.3422555923461914,
-0.4646245837211609,
-0.7273009419441223... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Example: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving., Question: How old is Will Hunting in the movie ?
Example solution: Answer: Twenty years
Example explanation: This is a good example which results in a factoid answer.
Problem: In 1996, treasure hunter Brock Lovett and his team aboard the research vessel Akademik Mstislav Keldysh search the wreck of RMS Titanic for a necklace with a rare diamond, the Heart of the Ocean. They recover a safe containing a drawing of a young woman wearing only the necklace dated April 14, 1912, the day the ship struck the iceberg.[Note 1] Rose Dawson Calvert, the woman in the drawing, is brought aboard Keldysh and tells Lovett of her experiences aboard Titanic.In 1912 Southampton, 17-year-old first-class passenger Rose DeWitt Bukater, her fiancé Cal Hockley, and her mother Ruth board the luxurious Titanic. Ruth emphasizes that Rose's marriage will resolve their family's financial problems and retain their high-class persona. Distraught over the engagement, Rose considers suicide by jumping from the stern; Jack Dawson, a penniless artist, intervenes and discourages her. Discovered with Jack, Rose tells a concerned Cal that she was peering over the edge and Jack saved her from falling. When Cal becomes indifferent, she suggests to him that Jack deserves a reward. He invites Jack to dine with them in first class the following night. Jack and Rose develop a tentative friendship, despite Cal and Ruth being wary of him. Following dinner, Rose secretly joins Jack at a party in third class.Aware of Cal and Ruth's disapproval, Rose rebuffs Jack's advances, but realizes she prefers him over Cal. After rendezvousing on the bow at sunset, Rose takes Jack to her state room; at her request, Jack sketches Rose posing nude wearing Cal's engagement present, the Heart of the Ocean necklace. They evade Cal's bodyguard and have sex in an automobile inside the cargo hold. On the forward deck, they witness a collision with an iceberg and overhear the officers and designer discussing its seriousness.Cal discovers Jack's sketch of Rose and an insulting note from her in his safe along with the necklace. When Jack and Rose attempt to inform Cal of the collision, he has his bodyguard slip the necklace into Jack's pocket and accuses him of theft. Jack is arrested, taken to the master-at-arms' office, and handcuffed to a pipe. Cal puts the necklace in his own coat pocket.With the ship sinking, Rose flees Cal and her mother, who has boarded a lifeboat, and frees Jack. On the boat deck, Cal and Jack encourage her to board a lifeboat; Cal claims he can get himself and Jack off safely. After Rose boards one, Cal tells Jack the arrangement is only for himself. As her boat lowers, Rose decides that she cannot leave Jack and jumps back on board. Cal takes his bodyguard's pistol and chases Rose and Jack into the flooding first-class dining saloon. After using up his ammunition, Cal realizes he gave his coat and consequently the necklace to Rose. He later boards a collapsible lifeboat by carrying a lost child.After braving several obstacles, Jack and Rose return to the boat deck. The lifeboats have departed and passengers are falling to their deaths as the stern rises out of the water. The ship breaks in half, lifting the stern into the air. Jack and Rose ride it into the ocean and he helps her onto a wooden panel only buoyant enough for one person. He assures her that she will die an old woman, warm in her bed. Jack dies of hypothermia[7] but Rose is saved.With Rose hiding from Cal en route, the RMS Carpathia takes the survivors to New York City where Rose gives her name as Rose Dawson. She later finds out Cal committed suicide after losing all his money in the 1929 Wall Street crash.Back in the present, Lovett decides to abandon his search after hearing Rose's story. Alone on the stern of Keldysh, Rose takes out the Heart of the Ocean â in her possession all along â and drops it into the sea over the wreck site. While she is seemingly asleep or has died in her bed, photos on her dresser depict a life of freedom and adventure inspired by the life she wanted to live with Jack. A young Rose reunites with Jack at the Titanic's Grand Staircase, applauded by those who died., Question: What year does this take place?
| Solution: Answer: 1912. | 5 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.41716277599334717,
0.12726818025112152,
-0.5771502256393433,
-0.006863201502710581,
0.5003927946090698,
-0.20607471466064453,
1.009263515472412,
0.5831814408302307,
-0.3046739101409912,
0.2237858921289444,
0.4861810803413391,
0.08210957050323486,
-0.3550083637237549,
0.1973477602005005,
... |
Definition: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: The author of the three little pigs story?
Output: | Who is the author of the True Story of the 3 Little Pigs? | 2 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.8219112157821655,
0.11479249596595764,
0.3401789665222168,
-0.1993097960948944,
-0.05468828231096268,
-0.0909607857465744,
0.17774856090545654,
-0.1712913066148758,
-0.29785215854644775,
-0.37783145904541016,
-1.0658445358276367,
0.5016127228736877,
-0.593005895614624,
-0.38613915443420... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
Problem:Nu mediagroep Concentra met haar wil fuseren , steeg de koers met 5,13 procent en dat op de dag dat de coupon geknipt werd .
Solution: | Concentra: B-ORG | 8 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.10000674426555634,
0.08667738735675812,
0.04828353226184845,
-0.10351831465959549,
-0.5684537887573242,
0.055229105055332184,
0.9709877371788025,
0.19264502823352814,
0.3386750817298889,
-0.17961157858371735,
-0.7687797546386719,
0.28294020891189575,
-0.3964225649833679,
-0.166861042380... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Account is a ____ character code that describes the basic accounting classifications.
six
Hyacinths have a wingspan reaching nearly ____ feet.
four
Red squirrels can have ____ litters a year.
| two
| 0 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-1.109520673751831,
0.9322558641433716,
-0.05657988041639328,
-0.4004904627799988,
-0.08618898689746857,
-0.6287481784820557,
0.47854116559028625,
0.022289395332336426,
-0.1732553094625473,
-0.25449007749557495,
-0.206925630569458,
0.05830039829015732,
-0.6973692178726196,
0.08286492526531... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
The Talent and Technology assembled here today, has the capability of making a transformative mobility shift for India and the World.
ഇന്നിവിടെ ഒത്തുചേര്ന്നിട്ടുള്ള പ്രാഗല്ഭ്യത്തിനും സാങ്കേതിക വിദ്യക്കും ഇന്ത്യക്കും ലോകത്തിനും മൊബിലിറ്റി മേഖലയില് പരിവര്ത്തനാത്മകമായൊരു ഗതിമാറ്റം നല്കാന് കെല്പ്പുണ്ട്.
He added that security have been strengthened in the server of BSNL in Bangalore for preventing such attacks in future.
ടി മാത്യു വ്യക്തമാക്കി. ഇത്തരം ആക്രമണങ്ങള് തടയാന് ബംഗളൂരുവിലെ സെര്വറില് പ്രതിരോധ സംവിധാനങ്ങള് ശക്തിപ്പെടുത്തിയിട്ടുണ്ട്.
The country will ever remain grateful to Atalji for bringing good governance in the main stream.
| രാഷ്ട്രീയ സംസ്കാരത്തില് ഏതൊരു മാറ്റത്തിനാണോ അദ്ദേഹം ശ്രമിച്ചത്, അതിനെ ഒരു ഭരണസംവിധാനത്തിന്റെ ചട്ടക്കൂടില് കൊണ്ടുവരാന് ശ്രമിച്ചു.
| 0 | NIv2 | task1021_pib_translation_english_malayalam | fs_opt | [
-0.3184395134449005,
1.0743921995162964,
0.2953513264656067,
0.06863216310739517,
0.08598379790782928,
-0.761667788028717,
0.4148690104484558,
0.4179825484752655,
-0.002585210371762514,
-0.19841288030147552,
-0.17944027483463287,
0.7294572591781616,
-0.3359212577342987,
0.09032635390758514... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
Let me give you an example: Beginning: Helen lived in the state of Washington. Middle: Helen planned to drive to Canada but it started snowing heavily.
The answer to this example can be: Helen stayed home instead and planned to go another day.
Here is why: Generally, people prefer not to drive in bad weather.
OK. solve this:
Beginning: Gerald was short on money one day. Middle: Gerald applied for a job at the supermarket.
Answer: | Gerald got the job the next day and started making money. | 8 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.5323055386543274,
0.8279625177383423,
0.15215937793254852,
-1.2670202255249023,
-0.46844369173049927,
-0.014737614430487156,
0.7501876354217529,
0.5525189638137817,
-0.131260484457016,
-0.5868064165115356,
-0.5900245904922485,
0.5436944365501404,
-0.10257156193256378,
0.0210070423781871... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Q: [92, -22, 5, 21, -46, -18, 16, 93, 10, -70]
A: | [92, -22, 5, -46, 16, 10, -70] | 9 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.11510005593299866,
-0.29598289728164673,
-0.5041096210479736,
-0.9120806455612183,
0.1505487859249115,
-0.24990536272525787,
1.3774614334106445,
-0.32222622632980347,
-0.750878095626831,
0.41132795810699463,
-0.5025612115859985,
0.07453931123018265,
-0.12859071791172028,
-0.306225836277... |
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Q: Like cubism? Like, Picasso. Wasn't he the cube guy?
A: | He made some cubes, yes. There was that movie Cubed - did you ever see it? | 4 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.3039236068725586,
0.7933756113052368,
0.635312557220459,
-0.03164803609251976,
0.29212191700935364,
-0.7644354104995728,
0.2271411120891571,
0.4317430853843689,
-0.16020084917545319,
-0.49292322993278503,
-0.5515259504318237,
0.044544972479343414,
-0.6748131513595581,
0.529058575630188,
... |
Detailed Instructions: In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only. Input sentences must only have one language at a time.
Problem:এই সংগঠন বাঁধের নকশা, জলবিজ্ঞান, প্রযুক্তি, ভূবিজ্ঞান প্রযুক্তি, অনুসন্ধান, যন্ত্রপাতি সংক্রান্ত কাজকর্ম এবং বাঁধ নির্মাণের ফলে উৎখাত হওয়া মানুষদের পুর্নবাসনের বিষয়টি দেখাশোনা করবে।
Solution: | Bengali | 8 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.25379034876823425,
0.9330607652664185,
0.3480374217033386,
-0.6914951801300049,
-0.21039333939552307,
-0.8190345764160156,
0.49784567952156067,
0.0910789966583252,
-0.3812195062637329,
-0.25885945558547974,
-0.8050304651260376,
-0.7048938274383545,
0.16307276487350464,
0.303671658039093... |
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: Consider Input: RT @BigJonBul: The stars wink knowingly and smile at each other when they see two lovers kissing on a secluded bridge on a balmy autumn nig…
Output: Neither
Input: Consider Input: “@NayMinaj_xo: @SkinnyBee__ LMAO my bitch was listening to gospel music w. liquor in her hand weaaakkk”lmfaooooooooo I was crying
Output: Offensive
Input: Consider Input: @Bitterchick
Dare be only one bag dat folks be suckin on what I comes to yo partayyyy! All da ofay be wantin to ride in my eldorato
| Output: Neither
| 2 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
0.1527588963508606,
0.589842677116394,
-0.21568775177001953,
0.5582823753356934,
0.01393924094736576,
-0.42258286476135254,
-0.2601209282875061,
0.4713248312473297,
-0.23025867342948914,
0.2837231159210205,
-0.40004944801330566,
-0.5181641578674316,
-0.32378077507019043,
-0.940344989299774... |
In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
دایملر آگ، ابرشرکت خودروسازی آلمانی و چندملیتی است، که از لحاظ میزان درآمد سالیانه، پس از تویوتا و گروه فولکسواگن، سومین خودروساز بزرگ جهان بهشمار میآید. این ابرشرکت، از نظر تعداد خودروهای تولید شده، در رتبه چهاردهم قرار دارد. دایملر آ. گ بزرگترین کامیونساز جهان است. ریشههای تأسیس ابرشرکت دایملر آگ به تاریخ ۱ مه ۱۹۲۴ بازمیگردد، که تفاهمنامه دو جانبهای برای ادغام قدیمیترین سازنده خودروهای بنزینی در جهان، یعنی دایملر-موتورن-گیزلشافت و شرکت بنز اند سیه امضا شد. این ادغام در تاریخ ۲۸ ژوئیه ۱۹۲۶ نهایی شد و به تأسیس ابرشرکت دایملر-بنز انجامید. این ابرشرکت تولیدات خود را با ترکیب نام سری محبوب شرکت دِ.اِم.گِ، یعنی مرسدس و نام شرکت بنز، به صورت برند مرسدس-بنز عرضه کرد. ابرشرکت دایملر-بنز در سال ۱۹۹۸ میلادی شرکت آمریکایی کرایسلر را به ارزش ۳۸ میلیارد دلار خریداری کرد، که تا آن زمان، بزرگترین معامله میان شرکتهای خودروسازی محسوب میشد. سپس نام ابرشرکت به دایملرکرایسلر آگ تغییر پیدا کرد. در سال ۲۰۰۷ در پی خریداری گروه کرایسلر توسط شرکت مدیریت سرمایه سربروس و جدایی کرایسلر از ابرشرکت ادغامی، نام این ابرشرکت نیز به دایملر آگ تغییر یافت.
دایملر آگ چیست؟
کاپیتالیسم (به انگلیسی: Capitalism) یا سرمایهداری،سرمایهمحوری یک نظام اقتصادی است که در آن پایههای یک سیستم اقتصادی بر روی مالکیت خصوصی ابزارهای تولیدِ اقتصادی است و در دست مالکان خصوصی است و از این برای ایجاد بهرهمندی اقتصادی (سود) در بازارهایی رقابتی استفاده میشود؛ که به این قانون، آزادی مالکیت شخصی نیز گفته میشود؛ که معنای آن، تولید و توزیع کالا هاست.از ویژگیهای اصلی سرمایهداری میتوان به انباشت سرمایه، بازارهای رقابتی، سیستم قیمت، مالکیت خصوصی و به رسمیت شناختن حقوق مالکیت، مبادله داوطلبانه و کار مزدی اشاره کرد. در اقتصاد بازار سرمایهداری، تصمیمگیری و سرمایهگذاری توسط هر صاحب ثروت، دارایی یا توانایی تولید در بازارهای سرمایه و مالی تعیین میشود در حالی که قیمتها و توزیع کالاها و خدمات عمدتاً توسط رقابت در بازارهای کالاها و خدمات تعیین میشود. معنای لغوی کپیتال همان سرمایه است و سرمایه شامل: زمینها، کارخانهها و… میباشد. درآمد در این قانون حداقل دو شکل دارد: سود و دستمزد. سود عبارت است از آنچه که بهخاطر مالکیت ابزار تولید به کسانی که سرمایه را فراهم کردهاند، داده میشود.
قانون آزادی مالکیت شخصی چیست؟
بوئینگ، ابرشرکت صنایع هوافضایی و صنایع دفاعی آمریکایی است، که در سال ۱۹۱۶ توسط ویلیام بوئینگ در شهر سیاتل، واشینگتن تأسیس شد. در طول دهههای گذشته همواره تمرکز اصلی این ابرشرکت بر تولید هواپیماهای مسافربری معطوف بوده است. ابرشرکت بوئینگ در سال ۱۹۹۷ با خریداری شرکت مکدانل داگلاس به بزرگترین شرکت هوافضای جهان تبدیل شد. این ابرشرکت دومین شرکت صنایع دفاعی جهان پس از لاکهید مارتین میباشد، همچنین بزرگترین صادرکننده کالا و خدمات در ایالات متحده محسوب میشود. دفتر مرکزی بوئینگ در ساختمان بوئینگ، در شهر شیکاگو، ایلینوی قرار دارد. بخشی از سهام این شرکت در بازار بورس نیویورک معامله میشود و جزئی از میانگین صنعتی داو جونز بهشمار میآید. ابرشرکت بوئینگ مالک ۴ شرکت تابعه هواپیماهای تجاری بوئینگ، بوئینگ دیفنس اسپیس اند سکیوریتی، بوئینگ کپیتال و گروه خدمات بوئینگ میباشد. ویلیام بوئینگ در ماه مارس سال ۱۹۱۰ شرکت گرین وود تیمبر را تأسیس کرد و ۲ سال بعد شرکت شیپ یارد را خریداری کرد و مقدمات تأسیس یک کارخانه هواپیماسازی را فراهم نمود.
| شرکت بوئینگ در کجا قرار دارد؟
| 0 | NIv2 | task394_persianqa_question_generation | fs_opt | [
0.11750331521034241,
0.287069171667099,
-0.052284546196460724,
0.014047075994312763,
-0.08578155934810638,
-0.07255983352661133,
0.5397909283638,
1.2649677991867065,
0.03567375987768173,
0.5934980511665344,
-0.9232141375541687,
0.6238896250724792,
-0.25066280364990234,
-0.203118234872818,
... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Q: CLAIM : The following post is HISTORICAL. POST : So, here it is, after commenting on a bunch of dumb posts on her, I finally had an asshole moment. Perhaps it's karma.
I'm an a Small Group Communications class at my college. We all had to make groups and give ourselves team posters and names. Well, this one group named themselves "The Yellow Jackets." Their mascot was a fucking Bumble Bee. I'm dumb and rude, so of course I said out loud "that's a bee?" Half the class called me an asshole, and I kinda feel like an asshole, but... It was a fucking bee. A bumble bee. Not a Yellow Jacket. And I didn't actually say anything really rude. But I guess it was fucked since they put a lot of work in on that poster....
A: | yes | 4 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.770115077495575,
0.3550979495048523,
0.6182543039321899,
0.18557733297348022,
-0.20347827672958374,
-1.152623176574707,
-0.27295583486557007,
0.9678817987442017,
-0.7010135650634766,
-0.015216272324323654,
-0.06948012113571167,
0.07611078023910522,
-0.000228781602345407,
-0.256412893533... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Example input: (Applause) However there is a political battle in our country.
Example output: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Example explanation: The English sentence is correctly translated into Arabic, because the meaning is preserved.
Q: And when we did that, we had to build storm sewers to get the water that fell on the cities out before it could cause flooding, and that's a waste of a vital water resource.
A: | وعندما قمنا بذلك ، كان علينا بناء مجاري مياه الأمطار للتخلص من المياه المتساقطة في المدن قبل أن تتسبب في حدوث فيضانات ، وهذا إهدار لمصدر هام لمياه الشرب. | 3 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.007251674309372902,
0.948612630367279,
0.5931707620620728,
-1.0469211339950562,
0.3539802134037018,
-0.7418134212493896,
0.5569611191749573,
-0.048657484352588654,
0.0848977193236351,
0.31503504514694214,
-0.5115630626678467,
0.22222131490707397,
-1.1540148258209229,
-0.10838199406862259... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Example: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example solution: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example explanation: The Italian sentence is correctly translated into Polish, because the meaning is preserved.
Problem: Quello che vedete qui, questa cosa gialla, non è un raggio della morte. E 'solo per mostrarvi che se avete telecamere o altri tipi di sensori perchè è alto, è alto 1,8 metri, potete vedere ostacoli come cespugli e cose del genere.
| Solution: To żółte, to nie śmiercionośne promienie. To wskaźnik pokazujący, że jeśli macie kamery lub innego rodzaju czujniki, ponieważ ma 1,80m wzrostu, będziecie widzieć przeszkody takie jak krzaki. | 5 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.1662441492080688,
0.7334486842155457,
-0.21601280570030212,
0.20691566169261932,
-0.4256935715675354,
-0.544620931148529,
0.46240806579589844,
0.8096711039543152,
-0.8839613199234009,
-0.06835585832595825,
-0.39154744148254395,
0.22388747334480286,
-0.3716844320297241,
0.527208149433136... |
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଆଜିର ନୂତନ ପିଢି, ଯେତେବେଳେ ଏହି ସ୍ମାରକୀକୁ ଆସିବେ, ତ ଏଠାରେ ଲାଗିଥିବା ପ୍ରଦର୍ଶନୀକୁ ଦେଖି, ଏଠାରେ ସଂଗ୍ରହାଳୟରେ ଆଧୁନିକ ଟେକ୍ନୋଲଜି ମାଧ୍ୟମରେ ତାଙ୍କ ଜୀବନର ମହତ୍ୱପୂର୍ଣ୍ଣ ଘଟଣାବଳୀଗୁଡ଼ିକୁ ଦେଖି, ବାବା ସାହେବଙ୍କର ଜୀବନର ଗଭୀର ବିସ୍ତାରକୁ ବୁଝି ପାରିବେ ।
A: When todays new generation will visit this memorial then it will be able to properly understand the infinite expansion of the life of Baba Saheb by visiting the exhibition here, by experiencing the important milestone of his life in the museum with the help of modern technology.
****
Q: ମାଳଦ୍ୱୀପ ବୈଦେଶିକ ବ୍ୟାପାର ମନ୍ତ୍ରୀ 26 ନଭେମ୍ବରରେ ଭାରତ ଗସ୍ତରେ ଆସିବେ ଏବଂ ରାଷ୍ଟ୍ରପତି ସୋଲିଙ୍କ ଭାରତକୁ ସରକାରୀ ଗସ୍ତ ଲାଗି ଅଧିକ ଆଲୋଚନା ଏବଂ ପ୍ରସ୍ତୁତି କରିବେ ।
A: Gandhi ji lived his life to empower his countrymen to fight social and economic exclusion. Bapu always asked us to think of the last person in the queue, the poorest person, and serve the underprivileged.
****
Q: ଆଜିର ନୂତନ ପିଢି, ଯେତେବେଳେ ଏହି ସ୍ମାରକୀକୁ ଆସିବେ, ତ ଏଠାରେ ଲାଗିଥିବା ପ୍ରଦର୍ଶନୀକୁ ଦେଖି, ଏଠାରେ ସଂଗ୍ରହାଳୟରେ ଆଧୁନିକ ଟେକ୍ନୋଲଜି ମାଧ୍ୟମରେ ତାଙ୍କ ଜୀବନର ମହତ୍ୱପୂର୍ଣ୍ଣ ଘଟଣାବଳୀଗୁଡ଼ିକୁ ଦେଖି, ବାବା ସାହେବଙ୍କର ଜୀବନର ଗଭୀର ବିସ୍ତାରକୁ ବୁଝି ପାରିବେ ।
A: | When todays new generation will visit this memorial then it will be able to properly understand the infinite expansion of the life of Baba Saheb by visiting the exhibition here, by experiencing the important milestone of his life in the museum with the help of modern technology.
****
| 4 | NIv2 | task988_pib_translation_oriya_english | fs_opt | [
-0.22316867113113403,
-0.10992911458015442,
-0.18550878763198853,
-0.07233041524887085,
0.23371680080890656,
-0.8327139019966125,
0.5679495334625244,
0.6444486379623413,
0.08266402781009674,
0.08663041144609451,
-0.43601107597351074,
0.2717691659927368,
0.021474406123161316,
0.265404284000... |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
PROBLEM: فكل اسطوانة منها تحوي 10% من الهواء الحر كما لو أنها كبسولة زمنية للنسب الغازات الدفئية مثل غازات الكربون والميثان واكسيد النتروجين وكل التغيرات التي اعترتها منذ بدء التسجيل.. ومنذ بدء انتاجها صناعيا
SOLUTION: כל גליל מכיל בערך 10 אחוז של אויר עתיק, קפסולת זמן טהורה של גזי חממה — פחמן דו חמצני, מתאן, תחמוצת חנקן — והכל לא השתנה מהיום שהשלג נוצר ונפל לראשונה.
PROBLEM: في احد رسائلهم الي ، كتب طالب انه يعرف لماذا اناديهم بالرجال النبلاء.
SOLUTION: באחד המכתבים האישיים שלהם אליי, תלמיד אחד כתב שהוא מבין מדוע אני תמיד קוראת להם ג ׳ נטלמנים.
PROBLEM: ك.أ.: واو. لذا تتواصل مع أناس هنا في تيد للحصول على أناس قد يساعدونك بطريقة ما لتحقق هذا الحلم
SOLUTION: | כ.א: וואו. אז אתה מדבר עם אנשים פה בTED בכדי לגרום לאנשים שיכולים לעזור בצורה מסויימת ל — לממש את החלום הזה?
| 8 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.24999845027923584,
0.5196137428283691,
-0.34865161776542664,
-0.5242763757705688,
-0.5424464344978333,
-0.7620861530303955,
1.5943183898925781,
0.06259341537952423,
-0.018618997186422348,
-0.08247518539428711,
-0.2329249083995819,
-0.01804766245186329,
-0.7714252471923828,
0.14864268898... |
Teacher: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Category: construction
Words: excavator, crane, pelican, hoist, upraise
Solution: pelican
Reason: A pelican is not related to construction because it is a type of bird.
Now, solve this instance: Category: guitar part
Words: amp, emotional, board, fret, string
Student: | emotional | 2 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.09153348207473755,
0.4842029809951782,
-0.20981258153915405,
-0.2545296847820282,
0.23770591616630554,
-0.433066725730896,
0.4137641191482544,
0.4958723485469818,
0.17128978669643402,
0.026912640780210495,
-0.4297328591346741,
0.0853012427687645,
-0.6087260246276855,
-0.29342585802078247... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Post: Edmonton attacker identified as 30yo Somali refugee Abdulahi Hasan Sharif, was known to police- CHThis is my shocked face. 😮Ed. | Hateful | 0 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
0.23169082403182983,
0.24469541013240814,
0.6812011003494263,
0.1617717146873474,
0.09155463427305222,
-0.9721941351890564,
0.6784741878509521,
0.9947806000709534,
0.7649763822555542,
0.5313853025436401,
0.03821488469839096,
0.48871368169784546,
-0.6764355897903442,
-0.6682736873626709,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild. (A) Tian Tian (B) UK (C) Edinburgh Zoo (D) Sweetie (E) Yang Guang (F) China
Solution: (F)
Why? This is a good example. Based on the passage, any cubs will return to China at the age of two
New input: (CNN) The head of a data analytics company linked to the Trump campaign contacted WikiLeaks founder Julian Assange in 2016 regarding thousands of Hillary Clinton's emails kept on a private server while she was secretary of state, according to four sources familiar with the outreach. Alexander Nix, the chief executive of Cambridge Analytica, sent an email to several people including top Donald Trump donor Rebekah Mercer, relaying that he had emailed Assange seeking access to emails from Clinton's private server to turn them into a searchable database for the campaign or a pro-Trump political action committee, two of the sources said.Cambridge Analytica was hired in the summer of 2016 as part of the Trump campaign's three-pronged data operationNews of the email exchange comes amid federal investigations into whether there was collusion between the Trump campaign and Russia
Questions:The committee asked the digital firm for documents earlier this month, and _ said it was cooperating. (A) CNN (B) Trump (C) WikiLeaks (D) Julian Assange (E) Hillary Clinton (F) Alexander Nix (G) Cambridge Analytica (H) Donald Trump (I) Rebekah Mercer (J) Assange (K) Clinton (L) News (M) Russia
Solution: | (G) | 0 | NIv2 | task302_record_classification | fs_opt | [
-0.43085023760795593,
0.2505441904067993,
-0.6643784046173096,
0.141447976231575,
-0.0045913527719676495,
-0.2253120094537735,
0.4414557218551636,
0.7110497951507568,
-0.4962535798549652,
0.8374913930892944,
0.623315691947937,
0.4814639985561371,
-0.797033429145813,
0.36177825927734375,
... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Q: Un avion mare cu reacție pe pământ la aeroport.
A: A large jet on the ground at the airport.
****
Q: A fost anunțat că Green îl va înlocui pe Park în nr. 1 Chevrolet al Dale Earnhardt Inc., începând cu Winston Open de săptămâna viitoare, desfășurată la Loew's Motor Speedway.
A: It was announced that Green will replace Park in the Dale Earnhardt Inc. No. 1 Chevrolet, beginning with the Winston Open at Lowe's Motor Speedway next week.
****
Q: Cineva împăturește o bucată de hârtie.
A: | Someone is folding a piece of paper.
****
| 4 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.20076853036880493,
0.591942310333252,
0.20510362088680267,
-1.0732791423797607,
-0.16172100603580475,
-0.5106018781661987,
-0.03434637188911438,
0.7853791117668152,
0.8102285265922546,
0.1957569122314453,
-0.07137065380811691,
-0.11769216507673264,
0.22139622271060944,
-0.27168953418731... |
Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: Background. Human bocavirus (HBoV) is a newly described parvovirus. HBoV1 has been associated with respiratory infections, including acute otitis media (AOM), but the knowledge on the significance of HBoV1 in upper respiratory tract infections (URI) and AOM in relation to other respiratory viruses is limited. The objective of this study was to compare the rate of detection of HBoV1 to that of other respiratory viruses in specimens from children with URI, with and without AOM complication. Methods. Nasopharyngeal secretions (NPS) were collected during URI from healthy children (6-35 months) followed prospectively for 1 year; specimens have been previously analyzed for broad spectrum of respiratory viruses. Archived NPS were analyzed for HBoV1 using a high-throughput, quantitative polymerase chain reaction method. Results. Seven hundred and seven NPS samples collected during URI episodes from 201 children were studied for HBoV1. A total of 94 (47%) children tested positive for HBoV1 DNA during 172 (24%) URI episodes; HBoV1 was present as the only virus in 44 (6%) URI episodes. Overall, 37% of URI episodes were complicated by AOM. Of URI associated with single virus (n = 303), the rate of AOM complicating URI associated with HBoV1 only was 52% (23 of 44); this was a higher AOM rate, compared to that of other respiratory viruses. Conclusions. Among URI associated with single respiratory virus, HBoV1-URI was commonly associated with AOM complication. The important role of HBoV1 on AOM pathogenesis needs to be studied further.
Output: | Role of Human Bocavirus in Upper Respiratory Tract Infections and Acute Otitis Media | 3 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.6985894441604614,
-0.015139424242079258,
-0.6613508462905884,
-0.30762314796447754,
0.06048179045319557,
0.2862902283668518,
0.5273420214653015,
0.6179018020629883,
0.24468380212783813,
0.0763150304555893,
-0.8606327772140503,
0.18477310240268707,
0.04860753193497658,
0.4115651547908783,... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Problem:و شدیدا دنبال یکی از کارهایی ورمر بود.
Solution: | Takie, którego naprawdę pragnął, miało być pędzla Vermeera. | 8 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.4618757963180542,
1.125903606414795,
-0.6163044571876526,
0.15272438526153564,
-0.45812469720840454,
0.7304919958114624,
0.9735004901885986,
-0.014445086009800434,
0.9697551131248474,
-0.5041557550430298,
-0.2641223669052124,
0.2585700750350952,
0.0173464585095644,
0.4851837158203125,
... |
Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Input: news:The latest result included per-share charges of 5 cents for stock compensation , 1 cent for research and development and 1 cent for strategic investments .
polarity:neutral
Output: | true | 3 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.35242828726768494,
-0.3760567307472229,
-0.4088789224624634,
0.5992656946182251,
0.0955793559551239,
-0.64699387550354,
0.4892241656780243,
0.638256847858429,
0.5086463689804077,
0.024325016885995865,
-0.08120589703321457,
-0.4805799722671509,
0.16299176216125488,
-0.2695823311805725,
... |
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