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 |
|---|---|---|---|---|---|---|
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$-+_=^&!*', then do not replace them. *INCLUDE* the special characters as suited when translating to English. Please keep them as they are in the translations. 4) Note the input is all case-sensitive except for special placeholders, and output is expected to be case-sensitive. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Q: Dakle, to je za ozbiljno.
A: | So this is for real. | 4 | NIv2 | task1367_opustedtalks_translation | zs_opt | [
-0.5018496513366699,
0.43951982259750366,
0.3662753105163574,
-0.014622986316680908,
0.17566204071044922,
-1.0447580814361572,
0.8885888457298279,
-0.2159421443939209,
-0.1095256507396698,
-0.45476865768432617,
0.1550760269165039,
0.48271188139915466,
-0.8787556290626526,
0.342384308576583... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
Article: In the past, if a person wanted to see the national treasures of a country, one had to go there in person. Therefore, very few people were able to enjoy some of history's most important and interesting artifacts . This has changed with an increase in the number of traveling museum exhibitions. King Tutankhamen Artifacts A traveling exhibition of artifacts from the tomb of King Tutankhamen, popularly known as "King Tut", toured the United States from November 1976 to April 1979. The 55 objects were shown in six cities and were seen by around eight million museum-goers. The second touring exhibit was started in 2007, this time with 130 artifacts and stops in London and three different American cities. However some objects, like the king's golden face mask, are too valuable or too delicate to be transported long distances, so "replicas" (exact copies of something) are on show. Japanese Color Woodblock Prints The Art Museum at University of Virginia, in Charlottesville, Virginia, has an extraordinary collection of Japanese color woodblock prints . These prints document the period from about 1850 to 1900, a time when Japan was opening itself to Western influences. Before this point, Japan was a closed society that had little communication with the world outside of its borders. These works of art beautifully show the feeling of change and the trend toward modernization. The museum has put together a traveling exhibition of 60 of these prints, which can be borrowed and exhibited worldwide for periods of eight weeks or more. Face-to-face with "Lucy" One of the world's most famous archaeological finds in history are the 3.2 million-year-old bones of a 106-centimeter-tall female found in the Ethiopian desert in 1974. Lucy, a name given to her by the discovery team, is a "hominid", or a creature that scientists believe is the earliest ancestor of modern human beings. Rarely is an artifact this valuable allowed to travel widely, but Lucy has been taken to several museums in the U.S. while a detailed replica remains at the Ethiopian Natural History Museum.
Question: What do we learn about King Tutankhamen's artifacts?
Options: (A) The artifacts were shown in London first. (B) The artifacts were on show in the United States once. (C) The second touring exhibit showed more artifacts than the first one. (D) The king's golden face mask was also shown in the traveling exhibitions.
Output: | C | 1 | NIv2 | task309_race_answer_generation | zs_opt | [
0.5160934925079346,
0.0793854147195816,
-0.3075311779975891,
0.5833162665367126,
0.3017248809337616,
-0.29107213020324707,
0.0673510730266571,
0.562965989112854,
-0.4546675980091095,
0.2321135401725769,
0.09661266207695007,
0.7288153171539307,
-0.2979152798652649,
0.38804471492767334,
-0... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
One in four Texans lacks health insurance, the highest proportion in the nation.
Output: | health-care | 1 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.13444067537784576,
0.6852669715881348,
-0.13012635707855225,
-0.25238460302352905,
0.1101723462343216,
0.2207789421081543,
0.7933681607246399,
0.42277956008911133,
0.1042969673871994,
0.22918839752674103,
-0.19406026601791382,
-0.1811022311449051,
-0.03288353234529495,
-0.379723817110061... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Passage: Omelettes make a great breakfast , and I enjoy making them because they are very easy to cook . First , I get the eggs out and begin cracking them on the side of the bowl and dumping them into the bowl . I normally use two eggs whites and one whole egg to cut the calories . I add some salt and pepper to the mix for flavor . I pour the mixture into the hot frying pan . I make sure that I add some vegetable oil to the pan before I add the eggs though because I do n't want them to stick . As this occurs , I add some cheese or vegetable to the center of the egg mixture . Really , almost any type of cheese or vegetable makes a good omelette . I then flip one side of the omelette over on to itself to seal in the contents in the middle . It is then ready to serve ! Question: How many times is the omelette flipped? Option1: three times Option2: once
Solution: once
Why? As mentioned in the passage that I then flip one side of the omelette; it is clear that omelette is flipped one time only.
New input: Passage: To make an omelette , I would use at least 3 large eggs . I would also decide what vegetables , meats , or cheeses I would like to add to my omelette , like peppers or onions ; ham , bacon , or sausage ; or mozzarella , cheddar , or American cheese . I would use a small to medium frying pan and melt a little bit of butter or margarine in the pan with the stove on medium heat . I would crack the eggs into a bowl , beat them , add a bout a tablespoon of milk , and then pour the egg mixture into the heated pan . I would then use a spatula to flip the omelette so the other side can cook . I would cook the omelette until both sides are slightly brown . Then I would use the spatula to fold the omelette in half and serve it on a plate . Question: What would they cook? Option1: an omelette Option2: scrambled eggs
Solution: | an omelette | 0 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
1.0113799571990967,
0.22720372676849365,
-0.5667178630828857,
0.6768293380737305,
0.1602332592010498,
0.00790471863001585,
1.1724612712860107,
1.056336522102356,
-0.6927047967910767,
-0.42646437883377075,
-0.05230770260095596,
-0.16586793959140778,
0.10051298141479492,
0.2797365188598633,
... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.
Q: মাদারী ভারতের দালাল পা চাটা কুত্তা
A: | non-personal | 9 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.35988742113113403,
-0.08147412538528442,
-0.3510206341743469,
0.4950612783432007,
-0.4545580744743347,
-0.5159345269203186,
0.28111034631729126,
0.3821325898170471,
-0.18011870980262756,
-0.01438925787806511,
-0.6041011214256287,
-0.3268412947654724,
-0.14977198839187622,
-0.15171755850... |
Given the task definition and input, reply with output. In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[-95.693, 210.396, 93.962, -49.134]
| [-0.6 1.319 0.589 -0.308] | 5 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.7398943305015564,
0.7111754417419434,
-0.4194275140762329,
-1.007234811782837,
-0.15269245207309723,
0.43776655197143555,
0.3667772710323334,
-0.572320818901062,
-0.2552650570869446,
-0.008948104456067085,
-0.7872281074523926,
0.4921228885650635,
-0.32105380296707153,
-0.152730569243431... |
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 an English sentence, and you have to translate it into Arabic.
But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Why? This is a good example. The above sentence is correctly translated from English to Arabic.
New input: Whatever you need, I got your back.
Solution: | كل ما تحتاجينه ، اعلمي أني سأكون بجانبك | 0 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.2919948101043701,
0.29771801829338074,
0.2310086488723755,
-0.9216253757476807,
-0.1213170513510704,
-0.029455188661813736,
1.1587778329849243,
0.15429024398326874,
0.46759724617004395,
-0.7335205078125,
-0.1914040446281433,
0.17206457257270813,
-0.5809895396232605,
0.020378421992063522,... |
You will be given a definition of a task first, then some input of the task.
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
Michael Schumacher of the Ferrari team finished the 1998 French Grand Prix in 1:34:45.026.
Output: | [['Michael Schumacher', 'LAPS', '71'], ['[TABLECONTEXT]', '[TITLE]', '1998 French Grand Prix'], ['[TABLECONTEXT]', 'DRIVERS', 'Michael Schumacher'], ['Michael Schumacher', 'CONSTRUCTOR', 'Ferrari'], ['71', 'TIME/RETIRED', '1:34:45.026']] | 1 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.6871287822723389,
-0.026140492409467697,
-0.12058401107788086,
-0.4784850776195526,
-0.5205276012420654,
0.7569286823272705,
1.0815948247909546,
-0.1859399676322937,
0.2641645669937134,
-0.5215616822242737,
-1.17069411277771,
0.07011830061674118,
0.3260343670845032,
0.4329066276550293,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Porque o caminho que leva à erradicação desta doença envolve muitas coisas.
Output: | Porque desfacerse desta enfermidade implica moitas cousas. | 1 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.5743523836135864,
0.2765401601791382,
-0.14818376302719116,
-0.7478777170181274,
-0.31204336881637573,
-0.780983030796051,
-0.0394030399620533,
0.42835354804992676,
0.0885409340262413,
-0.16051408648490906,
-0.4793493151664734,
0.4616968631744385,
-0.13186341524124146,
0.432645082473754... |
Definition: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
Input: Shit is fucking retarded, no one wants to see this shit
Output: | No | 2 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.1994190216064453,
-0.019157346338033676,
0.7726905345916748,
0.5474614500999451,
0.20870378613471985,
0.12775589525699615,
-0.08257883042097092,
0.5184899568557739,
0.2281176894903183,
0.4014408588409424,
-0.15027107298374176,
-0.7118515968322754,
-0.7028472423553467,
-0.622792720794677... |
Detailed Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Q: Säkerhetsrådgivare för transport av farligt gods
A: | Swedish | 9 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.11466674506664276,
0.40386733412742615,
0.5836927890777588,
-0.36172741651535034,
-0.054637257009744644,
-0.663144052028656,
0.4098203778266907,
0.27314889430999756,
0.24112632870674133,
-0.04417632892727852,
-0.09414072334766388,
0.39636150002479553,
-0.2026306539773941,
-0.41134393215... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
--------
Question: Through the gateway we passed into the avenue, where the wheels were again hushed amid the leaves, and the old trees shot their branches in a sombre tunnel over our heads.
Answer: Kuljimme portin läpi ja tulimme kujaan, jossa rattaat taaskin pyörivät lakastuneilla lehdillä, ja vanhat puut ojentelivat oksiaan muodostaen synkän holvin päittemme yli.
Question: Her eyes were on her brother as I turned, and then she quickened her pace towards me.
Answer: Hänen katseensa oli suunnattu veljeen, kun käännyin, ja hän kiirehti askeleitaan minua kohden.
Question: He has been excavating a barrow at Long Down, and has got a prehistoric skull which fills him with great joy.
Answer: | Hän oli pannut toimeen kaivauksia eräällä kummulla Long Downissa ja löytänyt historiantakaisen pääkallon, joka oli häntä suuresti ihastuttanut.
| 7 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
-0.2360495924949646,
0.6756620407104492,
-0.11269140988588333,
-0.16737434267997742,
0.11235971748828888,
-0.7016850113868713,
0.9644094705581665,
0.21566103398799896,
-0.14968842267990112,
-0.38338011503219604,
-0.4472523331642151,
0.6316556930541992,
-1.0792162418365479,
0.85784292221069... |
Detailed Instructions: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
Problem:The constitution for independent Swaziland was promulgated by Britain in November 1963 under the terms of which legislative and executive councils were established. This development was opposed by the Swazi National Council (liqoqo). Despite such opposition, elections took place and the first Legislative Council of Swaziland was constituted on 9 September 1964. Changes to the original constitution proposed by the Legislative Council were accepted by Britain and a new constitution providing for a House of Assembly and Senate was drawn up. Elections under this constitution were held in 1967.
Solution: | When did the Swaziland constitution come to be? | 8 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
1.1370854377746582,
1.1117850542068481,
0.28002727031707764,
-0.11850826442241669,
0.5401034355163574,
-0.4015657603740692,
1.7927472591400146,
-0.3217293918132782,
-0.08231662958860397,
0.2753749191761017,
-0.12685175240039825,
-0.14878356456756592,
-1.2817966938018799,
0.1598644554615020... |
Teacher: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Teacher: Now, understand the problem? If you are still confused, see the following example:
De Britse premier David Cameron noemt de TTIP een ‘once in a generation prize’ en wijst op de potentiele winst van 80 miljard pond (125,5 miljard dollar) voor zowel de EU en de VS en 85 miljard pond voor de rest van de wereld.
Solution: O Primeiro-Ministro britânico, David Cameron, designou a TTIP como “uma recompensa que surge apenas uma vez ao longo de uma geração”, referindo os ganhos potenciais no valor de 80 mil milhões de libras esterlinas (125,5 mil milhões de dólares) para a UE, um montante idêntico para os EUA e 85 mil milhões de libras esterlinas para o resto do mundo.
Reason: The given translation is precise and accurate with proper nouns preserved.
Now, solve this instance: Bovendien moet India bereid zijn om te reageren op Chinese grensoverschrijdingen door het zenden van troepen naar strategisch door China beheerste gebieden.
Student: | Além disto, a Índia deverá estar disposta a responder às incursões Chinesas, enviando tropas para território estratégico detido pela China. | 2 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.1619453728199005,
0.1934152990579605,
0.0672520101070404,
-0.2065942883491516,
-0.21407273411750793,
0.08492806553840637,
-0.25035881996154785,
0.6702642440795898,
0.08195455372333527,
0.027397744357585907,
-0.08978146314620972,
0.9714453816413879,
-0.8615103960037231,
-0.44228249788284... |
Q: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'Un eccesso di grasso corporeo costituisce un fattore di rischio elevato per lo sviluppo di malattie... Limitare la quantita' di grassi, in particolare quelli saturi, e' un elemento fondamentale di una dieta sana.'
A: | Italian | 7 | NIv2 | task896_miam_language_classification | zs_opt | [
0.2805194854736328,
0.38331010937690735,
0.49361175298690796,
-0.6167622804641724,
-0.5789315700531006,
-0.8258370757102966,
-0.08061918616294861,
0.972828209400177,
-0.5778632760047913,
-0.5614930391311646,
-0.23592111468315125,
0.39944344758987427,
-0.7090676426887512,
-0.009972485713660... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Will this remove the property from city taxes?
Solution: No
Why? The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
New input: With this amount of criminal behavior and previous arrests, why were they allowed to stay in a halfway house? I'd fly them both out deep into the wilderness with a sandwich and a 12 oz. bottle of water. After that, they're on their own. Oh yeah, put and ankle monitor on them for tracking to determine whether or not they manage to make it back into civilization.
Solution: | No | 0 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.5137879848480225,
0.28110000491142273,
0.37024563550949097,
0.7325283885002136,
0.4801343083381653,
-0.4689061939716339,
0.49107450246810913,
0.8192540407180786,
0.11827541887760162,
0.270195871591568,
-0.43470361828804016,
0.02390332892537117,
-0.41545918583869934,
-0.5627001523971558,... |
instruction:
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
question:
We are all against racism and we all have a contribution to make.
answer:
English
question:
In the same way, full citizenship implies giving third country nationals resident in the European Union the right to vote in all elections.
answer:
English
question:
The Commission cannot accept Amendments No 4 and 14: under the principle of subsidiarity it is for Member States, not the Commission, to determine penalties for breaches of national legislation.
answer:
| English
| 9 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.41738641262054443,
0.5660844445228577,
0.8203766345977783,
0.25748229026794434,
0.4475599527359009,
-0.9666543006896973,
0.6012986898422241,
0.48402005434036255,
0.3292534351348877,
-0.3618486523628235,
-0.24534626305103302,
0.383137047290802,
0.24341540038585663,
-0.6631206274032593,
... |
Detailed Instructions: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Q: twozeronineeightsevenonezeroninesevenzerozeroeight
A: | 209871097008 | 9 | NIv2 | task1443_string_to_number | zs_opt | [
-0.6818962097167969,
1.3241732120513916,
-0.36139124631881714,
-1.1754217147827148,
-0.24807678163051605,
-0.8025520443916321,
0.7227907180786133,
0.5252541303634644,
-0.1653296798467636,
-0.1607573926448822,
-0.20375099778175354,
0.884099543094635,
-1.0673186779022217,
-0.3409789204597473... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
One example is below.
Q: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
A: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }
Rationale: Here, the generated command using logical operators correctly selects third maximum from given table rows which is mentioned in natural language interpretation.
Q: for the country records of all rows , all of them fuzzily match to united states .
A: | all_eq { all_rows ; country ; united states } | 9 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.6019225120544434,
-0.01611931063234806,
-0.2464083880186081,
0.50864577293396,
0.2654488980770111,
-0.433538556098938,
0.23109155893325806,
0.11228180676698685,
-0.013498910702764988,
-0.2441256046295166,
-0.5521630048751831,
0.34027940034866333,
-0.23027196526527405,
0.36928117275238037... |
Definition: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Input: Context Word: Building.
Output: | The passenger plane crashed into the office building because the _ was flying too low. | 2 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.7394827604293823,
0.5135873556137085,
0.27958065271377563,
0.09772412478923798,
0.5558786988258362,
-0.8826578855514526,
0.5674763917922974,
1.1842470169067383,
-0.4526903033256531,
-0.2810491919517517,
-0.3700963258743286,
0.31570109724998474,
-0.2981681525707245,
0.052636511623859406,
... |
Q: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Do you still live in the neighborhood?
A: | I moved years ago | 7 | NIv2 | task565_circa_answer_generation | zs_opt | [
-0.6688531041145325,
1.7517805099487305,
-0.047172047197818756,
0.2180439531803131,
0.536875307559967,
-1.2805696725845337,
0.3985251784324646,
0.16185379028320312,
-0.032823000103235245,
0.1926255226135254,
0.07270508259534836,
0.9236140251159668,
-0.8060135841369629,
0.4592774510383606,
... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Let me give you an example: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
The answer to this example can be: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }
Here is why: Here, the generated command using logical operators correctly selects third maximum from given table rows which is mentioned in natural language interpretation.
OK. solve this:
select the row whose total record of all rows is maximum . the nation record of this row is france .
Answer: | eq { hop { argmax { all_rows ; total } ; nation } ; france } | 8 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.5537937879562378,
0.029364384710788727,
-0.27563244104385376,
0.6648036241531372,
0.28940820693969727,
-0.3883742690086365,
0.31851106882095337,
0.4146876633167267,
-0.04858267679810524,
-0.12818318605422974,
-0.5175017714500427,
0.30359387397766113,
-0.21791750192642212,
0.4864477515220... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
CONTEXT: Taxonomía El avión roquero fue descrito formalmente como Hirundo rupestris por el naturalista italiano Giovanni Antonio Scopoli en 1769, si bien luego fue clasificado en el nuevo género Ptyonoprogne en 1850 por el ornitólogo alemán Heinrich Gustav Reichenbach.Sus parientes más cercanos son los otros integrantes del género, que son el avión isabelino (P. fuligula), el avión oscuro (P. concolor) y el avión pálido (Ptyonoprogne obsoleta). El nombre del género se deriva del griego ptuon (φτυον), «abanico», en referencia a la forma de la cola cuando está abierta, y Procne (Πρόκνη), una doncella mitológica que fue transformada en una golondrina. El nombre específico, rupestris significa «de las rocas» y se deriva del latín rupes, «rocas». No se han reconocido subespecies, aunque se propuso la existencia de dos razas, P. r. centralasica y P. r. theresae, la primera habitante de Asia Central y la segunda, de los montes Atlas en Marruecos, pero las mínimas diferencias en tamaño y colorido no tienen un patrón geográfico definido. Se hallaron fósiles de la especie en el estrato del pleistoceno tardío en Bulgaria, y en el centro de Francia en sedimentos de entre 242 000 y 301 000 años de antigüedad.
ANSWER: Ptyonoprogne
Solution: ¿Qué género se asigna el avión roquero en 1850?
Why? The question addresses the necessary ingredients to get to the answer from the context provided. It asks about the type of the rock plane, which is the given answer.
New input: CONTEXT: El jueves 26 de mayo fue un día especialmente significativo para los diputados Pilar Rahola e Iñaki Anasagasti. Desde el martes 24 las relaciones entre ambos se habían enturbiado a raíz de unas declaraciones realizadas por el diputado del Partido Nacionalista Vasco (PNV), que había acusado a la independentista catalana de corrupta por participar cobrando en tertulias radiofónicas. Durante los dos días siguientes, numerosos diputados habían manifestado su apoyo a Pilar porque al fin y al cabo muchos políticos con poltrona en el Congreso participan en tertulias. Todo había quedado como una chiquillada y tanto Rahola como Anasagasti decidieron hacer las paces en pasillos del mismo Congreso. Cuando estrechaban las manos, la diputada Esquerra Republicana de Cataluña (ERC) comentó al nacionalista vasco que incluso el portavoz del Grupo Catalán, Miquel Roca, la había llamado para solidarizarse con ella.-¡No fastidies!- contestó Anasagasti-- A ti también? Pues a mí me llamó hace poco para manifestarme su solidaridad-.
ANSWER: ERC
Solution: | ¿A qué partido pertenece Rahola? | 0 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.6189478635787964,
0.25421908497810364,
-0.2959868907928467,
0.2721515893936157,
-0.2642201781272888,
0.38765430450439453,
0.9252209067344666,
0.9031541347503662,
0.25714051723480225,
0.055876486003398895,
-0.3219923973083496,
0.8823891282081604,
-0.272797167301178,
0.18481726944446564,
... |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
See one example below:
Problem: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected.
Solution: Michel Temer: Brazil's arrested former president
Explanation: The output is a relevant title for the given passage as it highlights the main crux of the given text.
Problem: Traffic cones, road signs, bottles, shoes and an old black and white car registration plate were among the rubbish found in a clean-up of Windermere in the Lake District.
Solution: | Windermere clean-up finds traffic cones, signs and shoes | 4 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.5312548875808716,
0.7048953771591187,
0.021417390555143356,
-0.29789865016937256,
-0.2519683241844177,
0.07727635651826859,
-0.5147329568862915,
0.7433295249938965,
-0.04534739628434181,
0.7133426666259766,
-0.5158896446228027,
0.30450499057769775,
-0.3986017405986786,
-0.19488522410392... |
Given the task definition, example input & output, solve the new input case.
A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example: लोकशाही, बहुलतावाद, कायद्याची सर्वोच्चता आणि परस्पर संवाद यावर उभय देशातले संबंध आधारित आहेत
Output: ਲੋਕਤੰਤਰ, ਕੀਮਤੀਵਾਦ, ਕਾਨੂੰਨ ਦਾ ਸਰਵਉਚਤਾ ਅਤੇ ਇੰਟਰਐਕਟਿਵ ਸੰਚਾਰ
Correct translation for given sentence. Input sentence means 'Democracy, valuableism, law supremacy and interactive communication' which is the same as the output sentence.
New input case for you: (4) नवीन गुंतवणूक धोरण:- नवीन गुंतवणूक धोरणातील तरतुदीं अंतर्गत, मॅटिक्स फर्टिलायझर अँड केमिकल लिमिटेड कंपनीने पनागर, पश्चिम बंगाल इथे सीबीएम आधारित ग्रीनफिल्ड अमोनिया- युरिया कारखाना उभारला असून याची वार्षिक क्षमता 1.
Output: | ਨਵੀਂ ਨਿਵੇਸ਼ ਨੀਤੀ : ਨਵੀਂ ਨਿਵੇਸ਼ ਨੀਤੀ (ਐੱਨਆਈਪੀ) ਉਪਬੰਧਾਂ ਤਹਿਤ, ਇਸ ਦੀਆਂ ਸੋਧਾਂ ਦੇ ਨਾਲ ਪੜ੍ਹੋ, ਮੈਟਿਕਸ ਫਰਟੀਲਾਈਜ਼ਰਸ ਐਂਡ ਕੈਮਿਕਲਸ ਲਿਮਿਟਡ (ਮੈਟਿਕਸ) ਨੇ ਪੱਛਮੀ ਬੰਗਾਲ ਸਥਿਤ ਪਾਨਾਗੜ੍ਹ ਵਿੱਚ ਇੱਕ ਸੀਬੀਐੱਮ ਅਧਾਰਤ ਨਵਾਂ ਅਮੋਨੀਆ-ਯੂਰੀਆ ਕੰਪਲੈਕਸ ਸਥਾਪਤ ਕੀਤਾ ਹੈ, ਜਿਸ ਦੀ ਸਲਾਨਾ ਸਥਾਪਤ ਸਮਰੱਥਾ 1. | 1 | NIv2 | task1029_pib_translation_marathi_punjabi | fs_opt | [
-0.07312701642513275,
0.6333342790603638,
-0.016885992139577866,
-0.26164448261260986,
-0.35206568241119385,
-0.8309646844863892,
0.27800610661506653,
0.5351549983024597,
-0.09363393485546112,
0.35113102197647095,
-0.5476043224334717,
-0.20259904861450195,
0.3074975609779358,
-0.3765393495... |
Given the task definition and input, reply with output. In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Can you help with information on transportation in Bahir
There is a National Institute of Technology in Bahir and Patna is the location of an Indian Institute of Technology.
That's fine. Any more on media in Bihar
Thank you so much for your help.
Do you have any more interesting information on Bihar
| There is a National Institute of Technology in Bahir and Patna is the location of an Indian Institute of Technology. | 5 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.3997480869293213,
0.12963323295116425,
0.1569742113351822,
0.3903125822544098,
0.01743156462907791,
0.1506182849407196,
0.7198101282119751,
0.22270706295967102,
-0.11650711297988892,
0.06540777534246445,
-0.7070116996765137,
-0.020511582493782043,
0.05426399037241936,
0.2768384218215942... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their, etc.) or other mentions to people, places, or things to which they may refer. Do not ask questions that can be answered correctly without understanding the paragraph or having multiple answers. Avoid questions that do not link phrases referring to the same entity. For each of your questions, the answer should be one or more phrases in the paragraph, and it should be unambiguous.
Passage: Up until the 18th century, the inhabitants of Chadderton raised domestic farm animals, supplementing their incomes by the spinning and weaving wool in the domestic system. Primitive coal mining was established by the 17th century, and the factory system adopted in the late-18th century. During the Victorian era, Chadderton's economy was heavily dependent on manufacturing industries, especially the spinning of cotton, but also the weaving of silk and production of hats. By the 20th century the landscape was covered with over 50 cotton mills. Industries ancillary to these sectors, including coal mining, brick making, mechanical engineering, and bleaching and dyeing were present. Chadderton developed an extensive coal mining sector auxiliary to Chadderton's cotton industry and workforce. Coal was transported out of the township via the Rochdale Canal. The amount of coal was overestimated however, and production began to decline even before that of the local spinning industry; Chadderton's last coal mine closed in 1920.Since the deindustrialisation of the region in the mid-20th century, these industries have been replaced by newer sectors and industries, although many of the civic developments that accompanied industrialisation remain in the form of public buildings; a town hall, public baths and library. The few surviving cotton mills are now occupied by warehousing and distribution companies, or used as space for light industry.British aircraft manufacturer Avro built a factory in south Chadderton in 1938–39, later known as BAE Chadderton. It was one of the largest employers in the area, producing a variety of aircraft models including Ansons, Manchesters and Bristol Blenheims. During the Second World War, 3,050 Avro Lancaster bombers were built at the Chadderton factory—over 40 per cent of the Royal Air Force's fleet. Post World War Two the Avro Vulcan was designed and built, as well as the Avro Shackleton and Avro Lincoln. After the Aircraft and Shipbuilding Industries Act 1977, Avro became part of the nationalised British Aerospace (now BAE Systems) and produced commercial aircraft for Boeing and Airbus.Chadderton has been described as a "relatively prosperous town ... which makes it a popular residential area". Chadderton Mall is a shopping precinct located in the town centre, and is one of Chadderton's main concentrations of retailing. It was constructed in 1974, and opened in 1975. It includes an Asda supermarket and a variety of smaller shops. The Stationery Office has a base in Chadderton, as does 3M. In 2008, 3M was the centre of a high-profile robbery of over 3,000 British passports. Other major businesses include Costco and Shop Direct Group. The Centre (formerly Elk Mill Retail Park), is a retail park located at the start of the A627(M) motorway.
Output: | What is the name of the factory that was one of the largest employers in the area? | 1 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.6933602690696716,
0.37237679958343506,
-0.40635108947753906,
0.1576472818851471,
0.7072908878326416,
-0.3316439688205719,
0.21736373007297516,
1.136789083480835,
-0.5010281801223755,
0.296140193939209,
-0.8808006048202515,
0.6780780553817749,
-0.4781205654144287,
-0.22033342719078064,
... |
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.
See one example below:
Problem: How do you remove keys from a computer keyboard for cleaning?
Solution: Place the tip of your finger under the corner of a key and gently twist to pop it off.
Explanation: The answer is related to the question, but certainly doesn't lead to the asked outcome( A sharp narrow object should be used instead of finger.), so this is a correct answer.
Problem: To make coffee taste less bold.
Solution: | Add a small amount of juice to the coffee to make it lighter. | 4 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.2870359420776367,
0.6824309825897217,
-0.7391959428787231,
0.42609986662864685,
-0.14878107607364655,
-0.35882318019866943,
0.28159579634666443,
0.8984766006469727,
-0.012818332761526108,
0.10622724890708923,
0.2979013919830322,
0.25839686393737793,
-0.05417781323194504,
-0.3149441480636... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
[Q]: [53, -70, 12, 14, -11, -69, 85]
[A]: [-8.5, -29.0, 13.0, 1.5, -40.0, 8.0]
[Q]: [79, 42, -75, -7]
[A]: [60.5, -16.5, -41.0]
[Q]: [43, -67, 56]
[A]: | [-12.0, -5.5]
| 5 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.5659127235412598,
0.32408881187438965,
-0.6736856698989868,
-0.6204928159713745,
-0.05389104783535004,
0.26972639560699463,
0.7538654804229736,
0.47870394587516785,
-0.08004302531480789,
-0.3819172978401184,
-0.6188268661499023,
-0.22516629099845886,
0.04019546136260033,
0.2801328897476... |
Teacher: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Es probable que encuentres un planeta en el sistema solar.
Solution: Es desafortunado encontrar un planeta en el sistema solar.
Reason: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about finding a planet in the solar system and the changes in the sentence follows the commonsense knowledge.
Now, solve this instance: Las personas y las máquinas deben trabajar juntas para poner fin a la guerra y la pobreza.
Student: | La gente y los niños deben trabajar permanentemente para poner fin a la guerra y la pobreza. | 2 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.16800197958946228,
0.1402643620967865,
-0.3391663432121277,
-0.3038240671157837,
-0.1271628737449646,
-0.9164108037948608,
0.05451490730047226,
1.3766188621520996,
-0.1445501297712326,
-0.6447577476501465,
-0.27693435549736023,
-0.021897904574871063,
-0.14937534928321838,
-0.50087833404... |
Teacher:In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: 学校に王冠かぶったプリンセス。何をしててもナニをしてても . 一応「進学校」しかしその中でも最も進学から遠いクラス「3-Z」に留学してきたアルタ公国の王女シャーロッテ（シャル）とそんな進学から程遠い生徒の一人だった主人公名倉仁の熱血ラブエロコメディ。 当初は才色兼備な完璧お姫様として羨望のまなざしを受ける彼女でしたが、しかしクラスの生徒たちから嫌われ不登校になっていた生徒、山田が戻ってきたあたりからクラスメイトとの温度差に戸惑うことに。 そこに主人公が入り込んで、一国のプリンセスが一介の高校生相手に処女喪失してしまうことになるわけで。 後半はシャルが委員長となりこのクラスを全員大学に導くべく補講を行う流れに主人公とのＨ模様が散りばめられていきます。行為中はすっかり王女からＭ奴隷になってしまうシャルをみさくらなんこつがここぞとばかりの挿絵で描いています。 どうも鉛筆書きのような線ですが、決してラフではなく十分にエロいです。 しかし「サムライガール」のように王女から普通の女の子に……というわけにはいかず、シャルはアルタ公国に帰ることに。 最後の船上パーティで主人公と出会えたシャルは船の上で…… そして、主人公はシャルとともにいるためにある選択をします。そんな2人のハッピーエンドはまだまだ前途多難で簡単には終わらないようです。 それにしても行為中でもデート中でも王冠外さないんですね、お姫様。
Student: | POS | 6 | NIv2 | task485_cls_japanese_books_classification | zs_opt | [
0.20673826336860657,
-0.22416114807128906,
-0.0931490957736969,
-1.0283517837524414,
0.3489797115325928,
0.24369511008262634,
0.6134887933731079,
0.43113911151885986,
-0.29407718777656555,
0.03818737715482712,
-0.03671182692050934,
-0.13968591392040253,
-0.06769239157438278,
-0.22579348087... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'yuuuhhhh thats surprising don't talk rubbish'. Dialogue 2: 'yes it would hah facewithtearsofjoy'.
Output: | no | 1 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.733919620513916,
0.2482183873653412,
0.4684365391731262,
-0.11120881140232086,
-0.3155286908149719,
0.3579739034175873,
0.8015474081039429,
0.18373312056064606,
0.12056994438171387,
-0.05634321644902229,
-0.08655306696891785,
-0.7262988090515137,
0.0838245376944542,
-0.03565720468759537... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Let me give you an example: 全て肋骨の間から行うのです
The answer to this example can be: Wszystko jest robione pomiędzy żebrami.
Here is why: The Japanese sentence is correctly translated into Polish, because the meaning is preserved.
OK. solve this:
そしてまた別の仮説が生まれるかもしれません
Answer: | Niektóre będą odbiegały od tego, o czym pisałem. | 8 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.11365873366594315,
0.9164256453514099,
0.16169962286949158,
0.37850484251976013,
0.10034774243831635,
-0.056705884635448456,
0.9067543745040894,
-0.708765983581543,
-0.21683621406555176,
-0.7487701177597046,
-0.3133772015571594,
0.6758222579956055,
-0.8547643423080444,
0.7624133825302124... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. 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 middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Input: Consider Input: Beginning: Sarah had been dreaming of visiting Europe for years. Ending: Sarah then decided to move to Europe.
Output: Sarah visited Europe. Soon Sarah made friends.
Input: Consider Input: Beginning: Dirk decided to enter his dog Monster into a dog show. Ending: In the end, Monster won the dog show in a landslide vote.
Output: Dirk found a dog show on the internet.
Input: Consider Input: Beginning: Tim was so stressed from work. Ending: He spent the weekend visiting his grandparents.
| Output: He decided he needed to get away and relax.
| 2 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.4892541170120239,
0.4267939329147339,
-0.03850896656513214,
0.031302448362112045,
-0.3299603760242462,
0.7734665274620056,
-0.01488631684333086,
0.07919303327798843,
-0.11533497273921967,
-0.04861334711313248,
0.1290542185306549,
0.6719247698783875,
-0.20056644082069397,
-0.314092159271... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Ex Input:
1, ['4699', '6099', 'b', '5497', '3813']
Ex Output:
6099, b, 5497, 3813
Ex Input:
3, ['4153', '523', 'l', '2989', 'Y', '6585', 'R', '3171']
Ex Output:
2989, Y, 6585, R, 3171
Ex Input:
3, ['N', '4217', '77', 'K', '595', '9197']
Ex Output:
| K, 595, 9197
| 1 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.19662891328334808,
0.11546262353658676,
-0.4010695219039917,
-0.4682709276676178,
-0.44994136691093445,
0.4667847156524658,
0.6626100540161133,
0.11246895790100098,
-0.8369693756103516,
-0.4476807713508606,
-1.0472559928894043,
0.09640400856733322,
0.19715534150600433,
0.1060598045587539... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Ex Input:
"" Hoje não vamos falar de política.
Ex Output:
Hoy no hablamos de política.
Ex Input:
Passaram um limiar do cérebro muito mais cedo, que talvez não aos 22 ou 20 anos, mas mesmo aos 15, 16 anos podem começar a ver que a trajectória para o desenvolvimento é muito diferente ao nível do cérebro, não do comportamento.
Ex Output:
Han cruzado un umbral del cerebro mucho antes, tal vez no a los 22 o 20 años, pero incluso hacia los 15 a 16 años se puede empezar a ver que la trayectoria del desarrollo es muy diferente a nivel del cerebro, no a nivel del comportamiento.
Ex Input:
A ciência agrícola, para a maioria das pessoas — e não temos muitos agricultores aqui entre nós — tem má reputação, está interligada com a poluição, com a grande escala, com a destruição do nosso meio ambiente.
Ex Output:
| La ciencia agrícola para la mayoría de la gente, y no hay muchos granjeros entre ustedes aquí, tiene la etiqueta de ser mala, de significar contaminación, gran escala, destrucción de nuestro medio ambiente.
| 1 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.5485612154006958,
0.1573990285396576,
0.05308401212096214,
-0.6519225835800171,
-1.176797866821289,
-0.8016906976699829,
-0.39243125915527344,
1.0782814025878906,
0.8740068674087524,
-0.5004602074623108,
-0.35702890157699585,
0.5508439540863037,
-0.28152596950531006,
-0.3495724797248840... |
Detailed Instructions: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Q: What is Zombie Pizza in Des Moines' rating?
A: | user | 9 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.13953323662281036,
0.3315722644329071,
0.14505061507225037,
-0.03987013176083565,
-0.04880774766206741,
-0.23934820294380188,
0.9579620957374573,
-0.4774022698402405,
0.08644616603851318,
-0.008749015629291534,
-0.23371177911758423,
0.27266809344291687,
-0.5821552276611328,
0.4107095599... |
Definition: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Input: 2, 1, ['8529', '677', '6747', 'E', 'q', 'A', 'Z', 'm', 'c', '1563', 'f', '9997']
Output: | 677, 6747, E, q, A, Z, m, c, 1563, f, 9997 | 2 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.40793222188949585,
0.028844434767961502,
-0.7487995624542236,
-0.6020680665969849,
-0.19765575230121613,
0.09941370785236359,
0.31268036365509033,
-0.5465958118438721,
-0.17905855178833008,
-0.0892602726817131,
-0.6936577558517456,
-0.2798359990119934,
0.18875038623809814,
0.176052957773... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
See one example below:
Problem: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Polarity: Positive
Solution: True
Explanation: It's a positive review because the owner of the dog is satisfied with the product and mentioned that their dog appreciates the product. Also, the polarity is positive. So, the correct answer is True.
Problem: I am amazed how well these little cups taste. These Kcups taste very well. This hot chocolate taste great and are ready in one minute.
Polarity: Negative
Solution: | False | 4 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.46068644523620605,
-0.3982124924659729,
0.34576115012168884,
0.2765430510044098,
-0.32173651456832886,
-0.3763843774795532,
0.7222205400466919,
0.6547009944915771,
0.29906052350997925,
0.1309538632631302,
-0.008274737745523453,
-0.10800880938768387,
-0.5762691497802734,
-0.3554018139839... |
Detailed Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
Problem:Process: -Ocean waves hit land -Ocean water pulls sand off of beaches -Ocean water breaks rocks off of cliffs -Ocean water carries sand and rocks into the ocean -Sand and rocks go to other land or the bottom of the ocean.
Question: What is the effect of ocean waves are smaller on less erosion by the ocean.?
Solution: | for | 8 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
-0.057199981063604355,
0.8129799962043762,
-0.615342915058136,
-0.5286593437194824,
-0.25488996505737305,
-0.5040732622146606,
-0.018430355936288834,
1.1177390813827515,
0.035877250134944916,
0.40071845054626465,
0.14576154947280884,
-0.14568361639976501,
-0.48552051186561584,
-0.126107349... |
Teacher: Given a sentence in Hindi, generate a new Hindi 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
आप एक जूरी नहीं करना चाहते हैं तो आप एक वकील बनना चाहिए.
Solution: आप एक जूरी जीतने के लिए जीते हैं तो आप एक राजा बनना चाहिए.
Reason: This is the good example. The created sentence is semantically similar to the input as both are talking about what to become if one doesn’t want to become the jury and the changes in the sentence follows the commonsense knowledge.
Now, solve this instance: अध्ययन में अनेक भिन्न भाषाएँ दिखाई जाती हैं ।
Student: | संसार में अनेक भिन्न भाषाएँ बोली जाती हैं । | 2 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.2925044298171997,
0.39694154262542725,
0.5843179225921631,
-0.308799684047699,
-0.10144486278295517,
-0.6059681177139282,
-0.12112602591514587,
1.1464219093322754,
-0.33300983905792236,
-0.9575269222259521,
-0.5433038473129272,
0.02077586203813553,
-0.33273714780807495,
-0.4066102802753... |
Teacher: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Teacher: Now, understand the problem? If you are still confused, see the following example:
That is what?
Solution: Kí nìyẹn?
Reason: The English sentence is properly translated to the Yoruba language as both the sentences convey the same meaning and both the sentences are in sentence case and it includes punctuation marks as well.
Now, solve this instance: “[This convention] is the most professionally organized convention I’ve ever had the pleasure of working with in a very long career.
Student: | “Ọjọ́ pẹ́ gan-an tí mo ti ń ṣiṣẹ́ yìí, àmọ́ àpéjọ yín ló ṣì wà létòletò jù látìgbà tí mo ti ń ṣiṣẹ́ yìí. Inú mi dùn pé a jọ ṣiṣẹ́. | 2 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
0.015808120369911194,
0.09549511969089508,
0.27884116768836975,
-0.12156926095485687,
0.05625846982002258,
-0.22445596754550934,
-0.11773177981376648,
0.6428917646408081,
0.1299942433834076,
-0.35369667410850525,
-0.050983160734176636,
0.2467290759086609,
-0.6823878288269043,
0.38888490200... |
In this task, you need to count the number of nouns/verbs in the given sentence.
[Q]: Sentence: 'Guys in the woods are looking at their phones, probably trying to use a gps feature'. Count the number of nouns in this sentence.
[A]: 5
[Q]: Sentence: 'some street signs sitting by a tree'. Count the number of nouns in this sentence.
[A]: 3
[Q]: Sentence: 'A table topped with white plates and cups next to eating utensils'. Count the number of nouns in this sentence.
[A]: | 4
| 5 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.3134150207042694,
0.8263077139854431,
-0.4543101489543915,
-1.03590726852417,
-0.4540218114852905,
-0.44241273403167725,
0.13215197622776031,
0.39750683307647705,
-0.08951107412576675,
-0.14441582560539246,
-0.33283475041389465,
-0.11719565093517303,
-0.1560882031917572,
0.1924257874488... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
『シャーロットのおくりもの』のクモのシャーロットが紡いだようにクモの糸は「すばらしい」です
Output: | با قرض گرفتن يك جمله از نوشته اي درباره عنكبوتي به اسم شارلوت ، مي خوام بگم تار عنكبوت شگفت انگيز است. | 1 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.8241900205612183,
0.40761175751686096,
-0.6012616753578186,
0.14001241326332092,
-0.6240436434745789,
0.10273991525173187,
0.5651408433914185,
-0.14018288254737854,
0.12204312533140182,
-0.03974403440952301,
-0.403020441532135,
0.2290298342704773,
-0.39078086614608765,
0.338033080101013... |
Q: 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 .
Statement: একসময় নৌকা যোগে চট্টগ্রাম শহর হতে মালামাল আনা নেয়ার জন্য হালদা নদী নৌ-পথ হিসেবে ব্যবহৃত হতো। চাকতাই থেকে মাল বোঝাই করে নৌকা আসতো <MASK> এবং নারায়ণহাট পর্য্যন্ত। স্থল যোগাযোগ ব্যবস্থা সুলভ হওয়ায় এবং হালদার নাব্যতা কমে যাবার দরুন নৌ-যোগাযোগ কমে এসেছে।
Option A: কাজিরহাট
Option B: ইউনিয়নসমূহ:
Option C: থানা
Option D: R151
A: | কাজিরহাট | 7 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.11270812153816223,
0.7680584788322449,
-0.1967596709728241,
0.2420276701450348,
0.19091463088989258,
-0.1479032337665558,
0.08370889723300934,
0.48509079217910767,
0.15472863614559174,
-0.3668348789215088,
-0.7390397191047668,
-0.6478174924850464,
0.05284206569194794,
0.13778214156627655... |
Teacher: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual.
Solution: ac
Reason: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this instance: Title: The boy had many collections of toys. His newest nerf gun shot 80 bullets in a minute! The boy hoped he'd never grow out of playing with nerf. Choices: a. They thought it was so cute and took a lot of pictures of it. b. His biggest collection was nerf guns. c. He loved running around the neighborhood shooting his friends.
Student: | bc | 2 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.18050020933151245,
-0.25592273473739624,
-0.2347695231437683,
0.03810686618089676,
0.6836295127868652,
-0.3969903588294983,
0.5453391075134277,
1.061216950416565,
-0.0726555734872818,
0.3241634666919708,
-0.05605858936905861,
0.4320610761642456,
-0.06851041316986084,
0.0366109199821949,
... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
[EX Q]: No evidence has yet been found of a Jewish presence in antiquity in Germany beyond its Roman border, nor in Eastern Europe. In Gaul and Germany itself, with the possible exception of Trier and Cologne, the archeological evidence suggests at most a fleeting presence of very few Jews, primarily itinerant traders or artisans. A substantial Jewish population emerged in northern Gaul by the Middle Ages, but Jewish communities existed in 465 CE in Brittany, in 524 CE in Valence, and in 533 CE in Orleans. Throughout this period and into the early Middle Ages, some Jews assimilated into the dominant Greek and Latin cultures, mostly through conversion to Christianity.[better source needed] King Dagobert I of the Franks expelled the Jews from his Merovingian kingdom in 629. Jews in former Roman territories faced new challenges as harsher anti-Jewish Church rulings were enforced.
[EX A]: Who expelled the Jews from his Merovingian kingdom in 629?
[EX Q]: While the Warsaw Pact was established as a balance of power or counterweight to NATO, there was no direct confrontation between them. Instead, the conflict was fought on an ideological basis. Both NATO and the Warsaw Pact led to the expansion of military forces and their integration into the respective blocs. The Warsaw Pact's largest military engagement was Warsaw Pact invasion of Czechoslovakia (with the participation of all Pact nations except Romania and Albania). The Pact failed to function when the Revolutions of 1989 spread through Eastern Europe, beginning with the Solidarity movement in Poland and its success in June 1989.
[EX A]: Which organization was in direct competition with the Warsaw Pact?
[EX Q]: Until about 1855 the words near east and far east did not refer to any particular region. The far East, a phrase containing a noun, East, qualified by an adjective, far, could be at any location in the "far east" of the speaker's home territory. The Ottoman Empire, for example, was the far East as much as the East Indies. The Crimean War brought a change in vocabulary with the introduction of terms more familiar to the late 19th century. The Russian Empire had entered a more aggressive phase, becoming militarily active against the Ottoman Empire and also against China, with territorial aggrandizement explicitly in mind. Rethinking its policy the British government decided that the two polities under attack were necessary for the balance of power. It therefore undertook to oppose the Russians in both places, one result being the Crimean War. During that war the administration of the British Empire began promulgating a new vocabulary, giving specific regional meaning to "the Near East," the Ottoman Empire, and "the Far East," the East Indies. The two terms were now compound nouns often shown hyphenated.
[EX A]: | Until what year did the words near east and far east not refer to any particular region?
| 6 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.6449158191680908,
0.649506688117981,
-0.13250093162059784,
0.12233893573284149,
0.15874719619750977,
-0.2892077565193176,
0.7398629784584045,
1.3223307132720947,
0.8321044445037842,
0.3331471085548401,
-0.13682308793067932,
0.19638997316360474,
-1.284541368484497,
-0.28735077381134033,
... |
Part 1. Definition
A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Part 2. Example
முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இருந்து விவசாயிகலை பாதுகாக்க பிரதமர் பயிர் காப்பீட்டுத் திட்டம் செயல்படுத்தப்படுகிறது
Answer: फार्म की रक्षा के लिए प्रधान मंत्री की फसल बीमा योजना लागू की जाती है
Explanation: Correct translation for given sentence. Input sentence means 'The Prime Minister's Crop Insurance Plan is implemented to protect the farm' which is the same as the output sentence.
Part 3. Exercise
இதன் ஒருபகுதியாக தமிழ்நாடு மற்றும் புதுச்சேரிக்கான மாநில அளவில் பயிற்சியாளர்களுக்கான பயிற்சி வரும் 11 ஆம் தேதி (11.
Answer: | इस प्रक्रिया के परिणामों को प्रक्षेत्र कार्य के प्रमाणन एवं सत्यापन के बाद उपलब्ध कराया जाएगा। | 7 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
0.054022740572690964,
0.050796717405319214,
0.20659032464027405,
-0.23990219831466675,
0.34862104058265686,
-1.161881446838379,
0.7529612183570862,
0.9861023426055908,
-0.6856802701950073,
0.5262635350227356,
-0.8334029912948608,
-0.06428352743387222,
-0.5556682348251343,
0.093859523534774... |
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.
Q: Category: MYTH ME?
Clue: Hera punished this gossipy handmaiden by taking away her power to originate speech
A: | echo | 4 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.6879804134368896,
0.8008325099945068,
0.5104439854621887,
-0.22724726796150208,
-0.10347232222557068,
-0.3720211386680603,
0.20511800050735474,
0.3076174557209015,
0.9756004810333252,
-0.2635578513145447,
-0.7040108442306519,
-0.1630467176437378,
-0.9692904353141785,
0.28353649377822876... |
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Q: Question: What system lets flatworms maintain a proper balance of water and salts? Answer: excretory
A: | Excretory system lets flatworms maintain a proper balance of water and salts. | 4 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.2366049885749817,
0.6468538641929626,
-1.0925346612930298,
-0.1557648926973343,
-0.2179953157901764,
-0.017802104353904724,
-0.001062212511897087,
0.19835230708122253,
-0.6119648218154907,
-0.5392995476722717,
-0.17399463057518005,
0.4387155771255493,
-1.4474945068359375,
0.3830336332321... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Problem:Sentence 1: Sally drives everyday to work.
Sentence 3: The tires on her car were very bald
Sentence 4: She had to stop suddenly for a kitten crossing the road
Sentence 5: Luckily she stopped in time, but almost hit the kitten
Option 1: This day was very rainy.
Option 2: But today, her car was in the shop so she took the bus instead.
Solution: | Option 1 | 8 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.8009275197982788,
0.2203337550163269,
0.2519991993904114,
0.2989718019962311,
0.1018897220492363,
-0.48031553626060486,
-0.07604566216468811,
1.1399379968643188,
-0.2524496912956238,
0.699020266532898,
-0.4135100543498993,
-0.8755693435668945,
0.3284808099269867,
-0.49532926082611084,
... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Let me give you an example: Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944
The answer to this example can be: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Here is why: The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
OK. solve this:
Passage: Born in Rotherham, South Yorkshire, Merris was a member of the youth system of hometown club Rotherham United before joining Guiseley in 1998. He joined Harrogate Town in September 1999, with whom he won the Northern Premier League First Division title in the 2001–02 season. Merris signed for Third Division side York City on 6 August 2003 following a trial. He won York's Clubman of the Year award for the 2004–05 season. Merris signed a new deal with York at the end of the 2004–05 season. He was released by York at the end of the 2005–06 season and subsequently signed for former club Harrogate on 29 June 2006. On 20 March 2008, he joined Guiseley from Harrogate for an undisclosed fee. He was released by the club in May 2012 before signing for Harrogate for the third time on 31 May. Merris joined Northern Premier League Division One North club Ossett Town as a player-coach in June 2014. and was appointed player-assistant manager in November 2014
Link Information: Division One North West and South East have 20 clubs each. Answer: 20
Answer: | How many teams are in the division that the club which Merrit joined in 2014 as a player coach belonged to? | 8 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.6211496591567993,
0.603585422039032,
-0.8357765078544617,
0.07637747377157211,
0.4986826777458191,
-1.1251723766326904,
0.5610889196395874,
0.24191606044769287,
0.5636559724807739,
-0.266033411026001,
-1.013443946838379,
0.6852512359619141,
-0.6682429313659668,
0.17337416112422943,
0.9... |
Teacher:In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Teacher: Now, understand the problem? Solve this instance: NEW YORK (CNN) -- The pilot aboard U.S. Airways Flight 1549 came over the speaker system and told passengers "brace for impact." One passenger turned on his cell phone so his body could be found with its GPS tracking. Others reflected on their lives. iReporter Julie Pukelis used a camera and a telescope to get this view of the crash scene on the Hudson River. Survivors said it was about 20 seconds later when the plane struck the water of the Hudson River on Thursday afternoon. Each of them lauded the heroics of the pilot, Chesley B. "Sully" Sullenberger III.NEW: Passenger Valerie Collins says a back exit wouldn't open and water rushed inPassengers aboard U.S. Airways Flight 1549 hail the pilot for his heroicsPassenger Carl Bazariane: "We were all looking to see how we were gonna die""We have a second chance in life," Brad Wentzell says
Student: | _ cried when talking about returning home to snuggle with his young daughter. | 6 | NIv2 | task301_record_question_generation | zs_opt | [
-0.04158451035618782,
0.6291760206222534,
-0.3199945092201233,
-0.6943952441215515,
0.23060095310211182,
-0.4202907979488373,
0.9131143093109131,
0.02734590321779251,
-0.08909901231527328,
-0.024408433586359024,
-0.14449280500411987,
0.34092938899993896,
-0.20181366801261902,
-0.1765232533... |
This task is about translating a given Spanish language sentence to English.
[Q]: Se han presentado muchas acusaciones contra la policía durante esta revolución.
[A]: Many accusations have been brought against the police during this revolution.
[Q]: El Plan Maestro intentaba controlar grupos revolucionarios comunistas, entregбndoles grandes cantidades de dinero cuando ellos obedecнan, y contrayendo el suministro de dinero o incluso financiando a su oposiciуn, si salнan de su control.
[A]: The master-planners attempted to control revolutionary communist groups by feeding them vast quantities of money when they obeyed, and contracting their money supply, or even financing their opposition, if they got out of control.
[Q]: He sido un diseñador junior haciendo piezas para un año.
[A]: | I've been a junior designer doing fittings for a year.
| 5 | NIv2 | task1692_qed_amara_translation | fs_opt | [
0.17729070782661438,
0.5100777745246887,
-0.055117614567279816,
-0.8080496788024902,
-0.4903491139411926,
-0.3854401707649231,
0.19968028366565704,
1.0971705913543701,
0.4093320369720459,
-0.19848179817199707,
-0.27896663546562195,
0.183697909116745,
-0.4310680329799652,
-0.071513168513774... |
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: When it comes to the battle of Hollywood vs. Woo , it looks like Woo 's a P.O.W.
A: | NEG | 4 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.7392618656158447,
0.0342571884393692,
0.7036200165748596,
-0.4646432399749756,
0.48243972659111023,
-0.793667197227478,
0.5966227054595947,
0.3788328766822815,
0.5137200355529785,
0.06581398099660873,
-0.13932310044765472,
-0.6693700551986694,
0.3379085659980774,
-0.6293119192123413,
... |
Teacher:In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable by a human. All triple values need not be used directly in the sentence as long as the facts are adequately captured.
Teacher: Now, understand the problem? Solve this instance: [['Destiny of the Daleks', 'RELEASE_DATE', '2012-11-05 5 November 2012']]
Student: | The release date for Destiny of the Daleks is 2012-11-05 5 november 2012. | 6 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.7836392521858215,
0.19102534651756287,
-0.8313586115837097,
-0.289295494556427,
-0.5510168671607971,
0.32248711585998535,
1.0434153079986572,
-0.18366354703903198,
-0.40847864747047424,
-0.6899861097335815,
-0.5110174417495728,
0.36876964569091797,
0.026463322341442108,
0.01081821415573... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. 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.
Q: 2, 12, ['4761', '6485', '1653', '1181', '8561', '6803', 'k', '5837', 'y', 't', 'f', '9089', '291', '8283', 'Q', '5827', 'f']
A: | 39609 | 4 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.6053680181503296,
0.3872959017753601,
-0.30134451389312744,
-0.920248806476593,
-0.11054614931344986,
0.14815279841423035,
0.17661252617835999,
-0.30233484506607056,
-0.17332816123962402,
0.1250535547733307,
-0.6342290639877319,
0.7295328378677368,
0.4380328059196472,
-0.460571765899658... |
Definition: 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.
Input: Step 1: For each row in College table, find the corresponding rows in Tryout table.
Step 2: find College's cName of the results of step 1 whose pPos equals mid.
Step 3: For each row in Player table, find the corresponding rows in Tryout table.
Step 4: find Tryout's cName of the results of step 3 whose HS equals 1200.
Step 5: show the rows that are in both the results of step 2 and the results of step 4
Output: | SELECT T1.cName FROM College AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = "mid" INTERSECT SELECT T2.cName FROM Player AS T3 JOIN Tryout AS T2 ON T3.pID = T2.pID WHERE T3.HS = 1200 | 2 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.618253231048584,
0.29199182987213135,
-1.277094841003418,
0.5834553241729736,
-0.3017723262310028,
-0.057760752737522125,
0.6075756549835205,
0.9450458288192749,
-0.1897660493850708,
0.4156803488731384,
0.32027488946914673,
0.38019514083862305,
0.11660020798444748,
0.4943455457687378,
... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
Example input: original question: Which class of computer peripheral supports [Pyjamarama]?
paraphrase: [Pyjamarama] is supported by which class of computer peripheral?
Example output: Yes
Example explanation: The second question is a good paraphrase of the first question and they have the same answer.
Q: original question: Which government has an agency which has a successor agency of [Madhya Pradesh Police]?
paraphrase: Which government has the [Madhya Pradesh Police]?
A: | No | 3 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.5438393950462341,
0.19295209646224976,
0.2767155170440674,
-0.4044301509857178,
-0.5009590983390808,
-0.32743462920188904,
1.0037002563476562,
0.6829302906990051,
0.18005923926830292,
-0.19355380535125732,
-0.5543297529220581,
-0.14095276594161987,
-0.2791675329208374,
0.491477996110916... |
Given the task definition and input, reply with output. You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Adam made me feel annoyed.
| male | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.8409504890441895,
0.6897567510604858,
-0.1270085871219635,
-1.1724462509155273,
-0.30913040041923523,
-0.23661351203918457,
0.4243471622467041,
0.3001171946525574,
0.8255232572555542,
0.21664226055145264,
-0.8511991500854492,
-0.25539112091064453,
-0.8093416094779968,
-0.432249009609222... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Let me give you an example: Pero comenzamos con la idea de un niño por vez.
The answer to this example can be: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Here is why: The Spanish sentence is correctly translated into Hebrew, because the meaning is preserved.
OK. solve this:
Y esta obra está en la Fundación [poco claro] en Delhi.
Answer: | עבודה זו נמצאת ב..... דלהי. | 8 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.812298059463501,
0.40661388635635376,
0.4181305766105652,
-0.26759132742881775,
-0.47906628251075745,
-0.04224354028701782,
0.8342853784561157,
0.6673349738121033,
0.9292091727256775,
-0.5460795164108276,
-0.08822379261255264,
0.30858322978019714,
-1.0200021266937256,
0.3155023455619812... |
Detailed Instructions: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
See one example below:
Problem: [0,1,0,2,5,1]
Solution: [2,5]
Explanation: The only elements that are not duplicated is 2 and 5. This is a good example.
Problem: [6, 7, 3, 0, 0, 4, 1, 0]
Solution: | [6, 7, 3, 4, 1] | 4 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.3172836899757385,
0.18003803491592407,
-0.2569708824157715,
-0.3542284369468689,
0.0211125947535038,
-0.532527506351471,
1.349710464477539,
0.38792434334754944,
-0.8443616032600403,
0.2620404362678528,
-0.9168965816497803,
-0.45184004306793213,
-0.29104915261268616,
-0.17948007583618164... |
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].
Example Input: #1 return the electron
#2 return people that identify #1
#3 return the first of #2
Example Output: who was the first person to identify the electron?
Example Input: #1 return colors
#2 return which #1 is there most in this image
Example Output: What color is represented most in this image?
Example Input: #1 return entrepreneurs
#2 return money #1 requested
#3 return average of #2
Example Output: | Return the average money requested across all entrepreneurs.
| 3 | NIv2 | task184_break_generate_question | fs_opt | [
0.671135663986206,
-0.2575768232345581,
-0.7268943786621094,
0.3092384338378906,
0.43557628989219666,
-0.19779950380325317,
0.8463563919067383,
0.605704665184021,
-0.2595253586769104,
0.9659051895141602,
-0.30423006415367126,
0.5660501718521118,
0.2261747121810913,
0.0028438856825232506,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
الوعي ينتمي للروح و الروح ليس جزءاً من العالم الحسّي
Output: | perténcelle á alma, e a alma non é parte do mundo físico. | 1 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.6694742441177368,
0.9510167837142944,
0.40256261825561523,
-0.6867792010307312,
-0.8911139369010925,
-0.6992819309234619,
0.556198239326477,
-0.07469114661216736,
0.243369460105896,
-0.5359668731689453,
-0.05710585415363312,
-0.04281901195645332,
-0.738828718662262,
0.5242004990577698,
... |
Detailed Instructions: Generate a correct and concise answer for the question based on the words in the context.
Q: Context : The Kh-58 was deployed in 1982 on the Su-24M 'Fencer D' in Soviet service.
Question : What year was the service entry date for Kh-58?
A: | 1982 | 9 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.24820613861083984,
0.11986811459064484,
-0.910862922668457,
-0.4808283746242523,
0.5220229625701904,
0.5167176723480225,
0.44211113452911377,
1.2160773277282715,
0.6471244692802429,
-0.3950152099132538,
-0.6948690414428711,
0.01579960435628891,
0.5150676965713501,
-0.0485728420317173,
... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Acabei por falhar todos os testes de consciência mental.
| Non superai i test di consapevolezza mentale. | 5 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.17618155479431152,
0.7080988883972168,
0.3430408835411072,
-0.789264440536499,
-0.2537720501422882,
-0.1057957112789154,
0.30722129344940186,
0.07148472964763641,
0.08592093735933304,
-0.40519046783447266,
-0.5413963794708252,
0.39876994490623474,
-0.06289585679769516,
0.830271065235137... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: و این انیشتین در بستر است. "" برای تو خیلی سریع بود. "" (نظریه ی نسبیت انیشتین ، گذر متفاوت زمان برای دو سرعت متفاوت) (خنده ی حاضرین) اما کاریکاتور هایی که کمی گیج کننده هستند.
Output: | これはアインシュタインの寝室です「あなたにとっては一瞬だったのね」 (笑) ちょっと難しいマンガもあります | 3 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.8049495816230774,
0.8658954501152039,
-0.14943969249725342,
-0.48600026965141296,
-0.7084941864013672,
0.32532525062561035,
0.36013343930244446,
0.1635548323392868,
0.881415605545044,
-0.443515807390213,
-0.980334997177124,
0.7182586789131165,
-0.25045520067214966,
0.590936005115509,
... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
Input: Consider Input: Article: Shoppers who have cut back on purchases in the worrying U.S. economy are likely to continue their conservative shopping habits even if the economy improves, according to a new study. That signals continued bad news for retailers , who have been struggling to respond to a great cutback in spending as consumers have opened their wallets only for basic items, while cutting back on unimportant purchases. The report, which estimates retail sales growth to be flat this year, found that three-quarters of respondents to a monthly survey of 4,000 consumers said they had shifted their shopping behaviors because of the economy. Most said they were making do with less or going without some favorite items. "The habits learned during this economic crisis have the potential to permanently change the mind-set of consumers," the report said. "The vast majority of shoppers who are changing their near-term shopping behavior say they plan to continue them as the economy improves." To ease the consumer discomfort, smart retailers will focus on downsizing, the report said, as adding stores to an already crowded retail landscape is out of fashion. It came up with smaller initiatives to build shopping buzz, such as limited editions of products or having existing stores target local markets. The report also forecast that retailers will increasingly focus on private brands to attract cost-conscious shoppers, while adding complementary categories of goods to their stores to make one-stop shops for consumers. While warehouse clubs and super centers are expected to fare the best in the weak environment in 2009, discount department stores and supermarkets will be the weakest, the report warned. Sales of clothes, though expected to rebound in 2010, will be the hardest hit and slowest to recover.
Question: The current shopping behavior in the US is becoming _ .
Options: (A) arbitrary (B) protective (C) conservative (D) aggressive
Output: C
Input: Consider Input: Article: Criticism is judgement.A critic is a judge.A judgement study and think about the material presented to him, accept it, correct it, or reject it after thinking over what he has read, watched or heard. Another word for criticism is appreciation.When I criticize or appreciate some objector another, I look for its good points and bad points.In reading any printed or written matter, I always have a pencil in hand and put any comments in the book or on a separate paper.In other words, I always talk back to the writer. That sort of critical reading might well be called creative reading because I am thinking along with the author, asking him questions, seeing whether he answers the questions and how well he answers them.I mark the good passages to store them in my memory piece of writing; where, how and why could or should I improve upon it? You might think that doing what I suggested is work.Yes, it is, but the work is a pleasure because I can feel my brain expanding, my emotion reacting and my way of living change. Reading exercises is a great influence on a person.If pictures, still or moving, accompany the reading, the memory will retain the material for a long time. Just as evil books can corrupt, so also can good books gradually work a change on a corrupt person. Let's get back to the beneficial effects of thinking while reading.It helps us to enlarge our minds.We understand more about the universe, its people and many of its wonders.We learn to think and observe in new ways.We certainly do get a feeling for the language we are reading.All good writers in any language have been readers who read critically and continuously.
Question: The writer says a critic _ .
Options: (A) asks what he does not understand (B) talks back to the author (C) understand the background on which the works are based (D) looks for the good and bad points of the material he has read
Output: D
Input: Consider Input: Article: Gifts.com provides more than just ideas. Sure, our unique and unforgettable gift suggestions are a big part of why people love us, but we also offer endless ideas and tools to make every day a reason to celebrate. Here are our Great Christmas Gift Ideas: Christmas Gifts for Parents You love your parents like no one else, and you want to give them something special for Christmas. But what would make their holiday bright?Finding them the perfect Christmas gift will be easy this year, with all our top picks in one place. Christmas Gifts for parents Under $45. Holiday Gift Baskets The gift basket is a great way to give a gift to a group. Our gift basket ideas come from all the top stores online, so you can easily find everything from fruit gift baskets to wine gift baskets in one place. Gift Baskets Under $50. Ideas for Teens Trying to find the right gift for a teen? Teens can be a challenge. What do they want? What could they use? They are all unique, but we think we've got something for them, even though they are a special group that are hard to deal with. Top Picks for Teens Under $20. The secret Santa Exchange The secret Santa is a great way to exchange gifts in the office, when it's often impossible to give everyone a present. We've got an office guide right here to help you find proper gifts for the workplace. And then there's always the gift basket, with things that are sure to please everyone in the office. Business Gifts Under $25.
Question: What makes Gifts.com popular?
Options: (A) It gives people a good reason to celebrate (B) Its endless new gifts. (C) It is organized according to personal taste. (D) Its special gift ideas. .
| Output: D
| 2 | NIv2 | task309_race_answer_generation | fs_opt | [
0.20701882243156433,
0.4095883369445801,
-0.1642894148826599,
0.1719679832458496,
0.9584090709686279,
-0.05649793893098831,
0.3030339479446411,
0.8287217020988464,
-0.47371605038642883,
0.08420027792453766,
-0.3116701543331146,
-0.3036402463912964,
-0.4472634494304657,
-0.09396486729383469... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: 931, 7, 3432, 13245, 762
Rationale: Here, all the elements except the first 3 from the list are '931', '7', '3432', '13245', and '762'.
Q: 2, ['9495', '7243', 'V', '9255', '6699', '8455']
A: | V, 9255, 6699, 8455 | 9 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.13793237507343292,
0.27790147066116333,
-0.28334277868270874,
-0.4070103168487549,
-0.28597718477249146,
0.05823706090450287,
0.7721430063247681,
-0.05275830999016762,
-0.34123390913009644,
-0.4533623456954956,
-0.8859768509864807,
-0.05076441541314125,
0.04866563528776169,
-0.331097483... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Q: Ne hanno bisogno? Lo vogliono a casa loro? (Risate) Ciò che compresi è che non volevano cambiare davvero il retaggio culturale, non volevano cambiare gli interni.
A: | Do they need it? Do they want it in their homes? "" (Laughter) What I realized then is, they didn't really want to change the legacy stuff; they didn't want to change the insides. | 4 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.18240666389465332,
1.2180347442626953,
-0.3417624235153198,
0.36787179112434387,
-0.054965950548648834,
-0.9388837814331055,
0.29049152135849,
0.28539377450942993,
0.321315199136734,
-0.3076785206794739,
-0.08194786310195923,
0.6999211311340332,
-0.6953966617584229,
-0.20206519961357117... |
instruction:
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
question:
Context: Skylar was a baker and had to mix all the ingredients for the recipe.
Question: Why did Skylar do this?
Options: (A) make sure the recipe was incorrect (B) make a good recipe (C) make a bad recipe
answer:
B
question:
Context: Taylor had stills that hurt their friend because they were taken in secret.
Question: How would Taylor feel afterwards?
Options: (A) happy about the stills (B) regretful about the stills (C) proud of the stills
answer:
B
question:
Context: Jan decided to give Bailey another go at driving, and Bailey was able to learn to drive and buy a car.
Question: What happened to Bailey?
Options: (A) was able to teach Jan to drive (B) go buy gas (C) was able to buy a car
answer:
| C
| 9 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
-0.2376537322998047,
-0.03794143721461296,
-0.0015323145780712366,
-0.1542801707983017,
0.031694196164608,
-0.3408430516719818,
-0.029487552121281624,
0.9194220304489136,
-0.0904688909649849,
0.2775096893310547,
-0.48373615741729736,
-0.2131568342447281,
0.687659502029419,
-0.4988758563995... |
Given the task definition and input, reply with output. Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Skips while writing. It's now sitting in a drawer because I feel like if I throw it away it would be the same as throwing away the money I spent on it.
| Negative Review | 5 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.5987108945846558,
-0.12810911238193512,
0.1381828486919403,
0.13339072465896606,
0.23514525592327118,
-0.40678340196609497,
0.4093421697616577,
0.566460132598877,
0.1922214776277542,
0.3286024332046509,
0.14471572637557983,
0.20423537492752075,
-0.18566098809242249,
-0.3285485804080963,... |
Definition: 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.
Input: È possibile utilizzare un capitale per soddisfare un comportamento.
Output: | È possibile script di un hack per controllare un filtro. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.0010356162674725056,
0.5891095399856567,
-0.007471189834177494,
0.28796517848968506,
-0.6377143263816833,
-0.2983883023262024,
0.888787031173706,
0.8406037092208862,
-0.06636197865009308,
-0.6842623353004456,
-1.1362080574035645,
0.49181950092315674,
-0.5291085839271545,
0.4873717129230... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: అవి సుదూర ప్రాంతాల సమాచారంతో పాటు ప్రభుత్వ ఉద్దేశాలను, విధానాలను ప్రజల్లోకి తెచ్చే వార్తాహరులు.
A: | কোনো ব্যক্তিগত মালিকানাধীন প্রচার মাধ্যমও জনকল্যাণের কাজ করে| | 4 | NIv2 | task1032_pib_translation_telugu_bengali | zs_opt | [
-0.7577932476997375,
0.3630218505859375,
0.4352377653121948,
0.2788267731666565,
0.29549479484558105,
-1.1731750965118408,
0.1656358242034912,
0.2619993984699249,
-0.6803528070449829,
-0.37061721086502075,
-0.6682995557785034,
0.2677486538887024,
-0.5210939645767212,
0.7143949270248413,
... |
Detailed Instructions: Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category.
Problem:Cut back any flower spikes. Remove any dead, browned, or damaged foliage as close to the base of the plant as possible. Remove all the cut pieces and compost or put out with garden waste.Feed the plant with a nitrogen-rich fertilizer.
Solution: | Home and Garden | 8 | NIv2 | task1630_openpi_classification | zs_opt | [
0.913715124130249,
0.27434149384498596,
-0.3567761778831482,
0.27442991733551025,
0.30792540311813354,
-0.5863027572631836,
0.16564518213272095,
0.49861592054367065,
0.12042093276977539,
0.010006497614085674,
-0.8855710029602051,
0.009978774935007095,
-0.754256010055542,
0.6318432092666626... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles.
Solution: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them.
Reason: The Portugese sentence is correctly translated into English, because the meaning is preserved.
Now, solve this instance: (Risos) (Aplausos) Muitos aqui já devem ter dito: "Sou monógamo em todas as minhas relações." (Risos)
Student: | (Laughter) (Applause) I mean, many of you probably have said, "I am monogamous in all my relationships." (Laughter) | 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.09909895062446594,
0.3044138550758362,
0.46533042192459106,
-0.9965659976005554,
-0.12400592863559723,
-0.8296613693237305,
-0.5336216688156128,
0.45265692472457886,
0.5086113214492798,
-0.36907511949539185,
-0.043118033558130264,
0.2776631712913513,
-0.42408668994903564,
-0.292275458574... |
Detailed Instructions: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Q: how big are baby zebras when born, Answer: They occur in a variety of habitats, such as grasslands , savannas , woodlands , thorny scrublands , mountains , and coastal hills .
A: | No | 9 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
0.36727505922317505,
0.7530509233474731,
-0.20924198627471924,
0.1981891691684723,
-1.1674768924713135,
0.3546738922595978,
0.474955677986145,
-0.06626226007938385,
-0.2888866364955902,
-0.5772313475608826,
-0.07206196337938309,
0.5636610984802246,
-0.8863266110420227,
-0.02064366638660431... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: [49, 65, -60, 1, -22, -37, -84, -28, -32, 96]
Student: | [49, 65, 1, -22, -37, -28, -32] | 6 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.1804552674293518,
-0.07340347766876221,
-0.5672255754470825,
-0.9650720953941345,
0.2599642276763916,
0.1725214719772339,
0.8768303394317627,
0.4226300120353699,
-0.153492271900177,
0.09711307287216187,
-0.4006364941596985,
-0.30083853006362915,
-0.13446569442749023,
-0.5249766111373901,... |
Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Input: Context: On McCoy receipt thing: my understanding is, he was really ticked about service. But org wishes he'd handled it differently. He understands— Les Bowen (@LesBowen) September 8, 2014 Question: how does org wish he handled it? Answer: differently
Output: | yes | 3 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.6408655047416687,
0.25572076439857483,
0.32217830419540405,
0.7130869626998901,
0.6571744680404663,
-0.6268743276596069,
0.12914294004440308,
-0.12916409969329834,
0.42253419756889343,
0.4922502040863037,
-0.5258115530014038,
-0.9427509307861328,
0.06526952236890793,
0.02574766241014003... |
Definition: You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Input: An organism's traits are largely determined by the genetic makeup of its parents. A mutation in which kinds of cells in a parent could cause a new trait to appear in the parent's offspring?
(A) sperm or egg (B) egg or nerve (C) nerve or muscle (D) muscle or sperm
Output: | A | 2 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.07425606995820999,
0.12205804884433746,
-0.6188624501228333,
-0.71036696434021,
-0.5335657596588135,
-0.11931643635034561,
0.6017627120018005,
0.33896398544311523,
0.46697285771369934,
-0.6224598288536072,
-0.9886494278907776,
0.4854092597961426,
-0.33911797404289246,
-0.1222573369741439... |
Teacher:In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Teacher: Now, understand the problem? Solve this instance: Harriet Candace ``Rose'' Clark was born in 1852 in La Port, Indiana. She was trained as a painter and taught painting and drawing in the 1880s at Saint Margaret's School in Buffalo, New York. One of her students was Mabel Dodge Luhan, and Clark later designed and restored Luhan's villa in Florence, Italy. Beginning in 1890 _she_ became active as a photographer and worked independently until 1898. <sep>, Pronoun: she
Student: | Luhan | 6 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.940880298614502,
0.38129061460494995,
-0.1387336254119873,
0.003624706994742155,
0.2605302929878235,
-0.12222397327423096,
0.4418976902961731,
0.9404043555259705,
0.16732677817344666,
-0.06612057983875275,
-0.17742952704429626,
0.07433059811592102,
-0.1707790493965149,
-0.25938868522644... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 2, 4, ['e', '1165', 'X', 'I', 'Q', 'y', '1425', 's', '6801', 'o']
A: | 1165, y, o | 4 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.4091859757900238,
0.6400066018104553,
-0.7881767749786377,
-0.6033772230148315,
-0.6600641012191772,
-0.4326549172401428,
0.7843081951141357,
-0.6807869672775269,
-0.27247071266174316,
0.048566125333309174,
-0.3903712034225464,
-0.23196467757225037,
-0.06403790414333344,
-0.1334352344274... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: ssKUiWgGqsXYlFOOc, JDcVTmCgGqsXYlxYE
A: gGqsXYl
****
Q: koddLvYmRXDUuUnW, GnqDYGmmRXDUuUquAnf
A: mRXDUuU
****
Q: qPYQAdVkSnpWaD, zhAdVkSnFYX
A: | AdVkSn
****
| 4 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.8807060718536377,
1.6031608581542969,
0.02123575285077095,
-0.8359649181365967,
-0.1458592265844345,
-0.48842814564704895,
0.4774894118309021,
-0.794823169708252,
-0.036417946219444275,
-0.8263568878173828,
-0.3187558352947235,
-0.7724807262420654,
-1.0042295455932617,
0.346160620450973... |
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
--------
Question: Pretty bad cheese . The first 5 minutes was OK. After that, this TV-movie started using all the cliches of...a TV-movie. A bad one. These cliches include: 1. Many references to babies both on and off the plane. 2. Young love as apparently-orphaned young adults ponder their future together. 3. A supposedly very drunk man becoming rowdy and argumentative, yet showing no real signs of being drunk though much was said about the volume of his drinking. 4. An unhappy man dictating some thoughts - then eventually joyfully reconsidering his comments and throwing the tape recorder away. 5. The expanded time frame, where events that would normally take perhaps a couple minutes dragged out for 1/2 hour - in this case the final descent of the plane. 6. Simplistic explanations of some "technical jargon" for the benefit of only the audience. 7. Voice-overs of the thoughts of some of the characters as they are about to land. There were also some bad lapses of reality. These include: 1. The claim that the airplane had never been test-flown or simulated when out of gas. 2. Having some sports cars whiz by only feet away - on a wet surface no less - from recreational hot-rodders parked on the abandoned runway who are working on cars and milling about. 3. The apparently stupid teen who can't hear his father yelling and waving at him from 30 feet away to get the hell off the runway as the plane is about to land on him. The worst for last... 4. No one even attempts any crash position during the landing. 5. After landing, the pilot and co-pilot sit there for 10 seconds and contemplate the minor amount of smoke coming up through the console. Note there is no actual fire whatsoever... 6. After all the passengers slide down the rear slide, the co-pilot and other crew slide down, and gather right at the bottom of the slide rather than, say, getting off the runway away from the plane. Only the pilot remains on board. He lingers in the doorway, then decides to go back into the nose again. Why? To fight the nonexistent fire. Egads! He is now overcome by smoke. We wait and wait for him to reappear, but gosh, he doesn't. So the crew must climb back up the ladder to rescue him. Finally everyone gets off the plane. Everyone cheers and congratulates the foolhardy pilot. The End. Except it's not. There is a freeze-frame on each of the characters with a caption telling what happens to them in the future. I wanted to give it at least 2 stars but in all honesty I can't.
Answer: NEG
Question: Bad, just plain bad. . Spoilers ahead: I am not hard to please when it comes to horror movies, and totally enjoy a good B flick. But I have to say that this one was just terrible. There's really no plot and even though you expect the charaters to do some silly stuff like go into creepy houses or whatever, I just couldn't believe how stupid the main character really was!! How do you continue to hang out at that rest stop when the guy keeps coming back to mess with you? I mean come on!!! Breaking into the rangers office on site, no less, and getting drunk...all the while waiting for the phycho to come back and have another go at her? Then missing every possible opportunity to kill the psycho. Was no one else shouting at the screen "Grab the cop's gun and shoot the psycho!" as they watched him stroll by them to tow his motorbike. And running infront of the truck, in the headlights... There was forest all around her and she never once went and hid, just hung out inside that disgusting bathroom. A sitting duck that deserved to be put out of it's misery in my opinion. No, it was simply unbelievable and I was relieved when the credits rolled. So glad I didn't actually pay the rental fee on this one
Answer: NEG
Question: uwe boll fails at life . Have you ever been stabbed in the face? I haven't but while I was watching this movie, I had this almost overbearing curiosity to find out what its like. Seriously, this movie is so bad, suicide won't erase the haunting visions of sheer ineptetude from your mind. this movie is probably the worst movie ever made. well, there are worse movies out there, shatter dead and 13 seconds being two that i can name off the top of my head, but i mean come on both movies had a combined budget of a McChicken sandwhich with a small order of fries. whats this movies excuse
Answer: | NEG
| 7 | NIv2 | task477_cls_english_dvd_classification | fs_opt | [
0.22605159878730774,
0.09435952454805374,
-0.5798037052154541,
-0.24988706409931183,
0.6051393747329712,
0.3493806719779968,
1.4817873239517212,
1.1952850818634033,
-0.23560243844985962,
0.2528560161590576,
-0.08947346359491348,
0.12396997213363647,
-0.27705615758895874,
0.0318215265870094... |
In this task you are given a premise and two alternatives in Tamil. 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.
Example Input: நான் நேரப் போக்கின் உணர்வை இழந்தேன்
(1)நான் பகற்கனவு கண்டு கொண்டிருந்தேன்(2)எனக்கு குமட்டல் ஏற்பட்டது
Example Output: 1
Example Input: அந்த திரைப்படத்திற்கான நுழைவுச்சீட்டுகள் விற்றுத் தீர்ந்தன
(1)அன்று அந்த திரைப்படத்தின் தொடக்க நாள்(2)அந்த திரைப்படம் மோசமான விமர்சனங்களைப் பெற்றது
Example Output: 1
Example Input: குடிமக்கள் தேசியக்கொடியைத் தங்கள் வீட்டின் வெளியே தொங்கவிட்டனர்
(1)அந்த நாடு தன் சுதந்திர நாளை நினைவு கோர்ந்தது(2)அந்த நாடு பொருளாதார இன்னல்களை எதிர்கொண்டிருந்தது
Example Output: | 1
| 3 | NIv2 | task1176_xcopa_commonsense_reasoning_ta | fs_opt | [
0.3235410153865814,
0.17271965742111206,
-0.02913401834666729,
0.5700638890266418,
-0.005471453070640564,
-0.4079763889312744,
0.34848353266716003,
0.9261946678161621,
-0.25685983896255493,
0.5811132192611694,
-0.5938675403594971,
-0.2412792146205902,
-0.08639414608478546,
-0.3349257707595... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Example solution: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example explanation: The Lao sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Problem: ເຄື່ອງສ້າງພະລັງງານນິວເຄຣຍ ຈະຖືກສ້າງຕາມການສະເໜີຄັ້ງທີສອງຂອງພະລັງງານ ໃນສະຖານທີ່ດຽວກັນ; ການສະເໜີທີ່ແຍກອອກສຳລັບ ສີ່ເຄື່ອງສ້າງພະລັງງານນິວເຄຮຍຈະຖືກສ້າງໂດຍ ກຸ່ມບໍລິສັດນຳໂດຍ ຣັດເຊຍ ທີ່ໄດ້ຖືກປະຕິເສດໂດຍ ສານຕູຣກີ ປີກາຍນີ້.
| Solution: 建設される原子炉は同じ場所に提案される発電所としては2つ目で、ロシア主導のコンソーシアムで建設する4つの原子炉の複合施設という別の提案は昨年トルコの法廷に拒否された。 | 5 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.24732792377471924,
0.48158204555511475,
-0.7760462164878845,
0.4331425428390503,
-0.19308851659297943,
-0.64387047290802,
0.2886960506439209,
0.9059612154960632,
0.13620619475841522,
-0.5571391582489014,
-0.8963261842727661,
0.9656612873077393,
-0.5055022239685059,
0.6917860507965088,
... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Example input: Context: Joanne McLeod is a Canadian figure skating coach. She is the skating director at the Champs International Skating Centre of BC (formerly known as the BC Centre of Excellence). Here current and former students include Emanuel Sandhu, Mira Leung, Kevin Reynolds, Jeremy Ten, Nam Nguyen, and many others. In 2012, McLeod became the first level 5 certified figure skating coach in British Columbia., Victor Kraatz, MSC (born April 7, 1971) is a Canadian former ice dancer. In 2003, he and his partner, Shae-Lynn Bourne, became the first North American ice dancers to win a World Championship., Allie Hann-McCurdy (born May 23, 1987 in Nanaimo, British Columbia) is a Canadian ice dancer. McCurdy began skating at age eight and was a singles skater until age 12 when she switched to ice dancing. In 2003 she teamed up with Michael Coreno, with whom she was the 2010 Four Continents silver medalist and the 2008 Canadian bronze medalist. The pair retired in June 2010, to coach at the Gloucester Skating Club., Maikki Uotila - Kraatz ( born 25 February 1977 ) is a Finnish ice dancer . She is a former Finnish national champion with Toni Mattila . She married Victor Kraatz on June 19 , 2004 . The two coach in Vancouver , where they are the ice dancing directors at the BC Centre of Excellence . She and Kraatz have two sons , born September 14 , 2006 and July 10 , 2010 ., Burnaby is a city in British Columbia, Canada, located immediately to the east of Vancouver. It is the third-largest city in British Columbia by population, surpassed only by nearby Surrey and Vancouver., Canada (French: ) is a country in the northern half of North America. Its ten provinces and three territories extend from the Atlantic to the Pacific and northward into the Arctic Ocean, covering , making it the world's second-largest country by total area and the fourth-largest country by land area. Canada's border with the United States is the world's longest land border. The majority of the country has a cold or severely cold winter climate, but southerly areas are warm in summer. Canada is sparsely populated, the majority of its land territory being dominated by forest and tundra and the Rocky Mountains. About four-fifths of the country's population of 36 million people is urbanized and live near the southern border. Its capital is Ottawa, its largest city is Toronto; other major urban areas include Montreal, Vancouver, Calgary, Edmonton, Quebec City, Winnipeg and Hamilton., British Columbia (BC) is the westernmost province of Canada, with a population of more than four million people located between the Pacific Ocean and the Rocky Mountains.
British Columbia is also a component of the Pacific Northwest and the Cascadia bioregion, along with the U.S. states of Idaho, Oregon, Washington and Alaska., The "Champs International Skating Centre of British Columbia" (formerly known as the 'BC Centre of Excellence') is one of two major figure skating training centers in Canada. Located in Burnaby, British Columbia, it is home to many great national and international skaters. The programs there are overseen by a staff, including Joanne McLeod, who coaches 3-time Canadian men's national champion Emanuel Sandhu; Bruno Marcotte, who competed at the 2002 Winter Olympics; Victor Kraatz, the 2003 World Champion in ice dancing, and Maikki Uotila, who was a national champion in Finland. The center operates out of Canlan Ice Sports Burnaby 8 Rinks. Notable skaters who train there include Emanuel Sandhu, Mira Leung, Allie Hann-McCurdy & Michael Coreno, Jessica Millar & Ian Moram, Jeremy Ten, and Kevin Reynolds. This skating school is sometimes known as a training site for international competitors to practice for competitions in Vancouver. Champs International hosts its annual competition known as the BC/YK SummerSkate Competition every August., Shae-Lynn Bourne, MSC (born January 24, 1976) is a Canadian ice dancer. In 2003, she and partner Victor Kraatz became the first North American ice dancers to win a World Championship. They competed at three Winter Olympic Games, placing 10th at the 1994 Winter Olympics, 4th at the 1998 Winter Olympics, and 4th at the 2002 Winter Olympics., Vancouver, officially the City of Vancouver, is a coastal seaport city on the mainland of British Columbia, Canada, and the most populous city in the province., Subject: maikki uotila, Relation: country_of_citizenship, Options: (A) american (B) british (C) canada (D) finland (E) montreal
Example output: finland
Example explanation: This is a good example, as maikki uotila is citizen of the finland.
Q: Context: Julio Cortázar, born Jules Florencio Cortázar (August 26, 1914 February 12, 1984), was an Argentine novelist, short story writer, and essayist. Known as one of the founders of the Latin American Boom, Cortázar influenced an entire generation of Spanish-speaking readers and writers in the Americas and Europe., Gregory Rabassa, ComM (March 9, 1922 June 13, 2016) was an American literary translator from Spanish and Portuguese to English. He taught for many years at Columbia University and Queens College., The Latin American Boom was a flourishing of literature, poetry and criticism in Latin America during the 1960s and 1970s, when writers from this region explored new ideas and came to international renown in a way that had not happened previously. Major figures of the boom include Julio Cortázar, Gabriel García Márquez, Carlos Fuentes, and Mario Vargas Llosa., Libro de Manuel is a novel by Julio Cortázar , first published in 1973 . It was later translated into English by Gregory Rabassa and published in the US as A Manual for Manuel . Cortázar 's only explicitly political novel , it was written as a direct response to the escalating political repression and violence in Argentina and elsewhere in Latin America . Though it received the Medici Award , it received a generally lukewarm critical reception and was described by the author himself as `` the worst of my books . '' Describing the unfolding of a plot to kidnap a Latin American diplomat , it incorporates into the text a number of news articles reproduced from contemporary newspaper accounts of the political situation in Latin America . Cortázar directed that all the royalties from the book be used to provide assistance to the victims of political repression ., Subject: libro de manuel, Relation: original_language_of_work, Options: (A) english (B) latin (C) spanish
A: | spanish | 3 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.5396101474761963,
0.7526120543479919,
-0.6285185813903809,
-0.30803245306015015,
0.39778172969818115,
0.2539155185222626,
0.6259828805923462,
0.736370325088501,
-0.38981932401657104,
0.11825693398714066,
-0.17607152462005615,
0.6001969575881958,
-0.6732543706893921,
0.4575642943382263,
... |
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'
Example: CLAIM : The following post is HISTORICAL. POST : Background: I have ocd and the only contamination issue I have is around food. Both parents know this. What has lead me to ask this question is this mornings reaction from parent B.
This morning parent b offered to make me breakfast, I responded how I always do: that’s very kind but I’m happy to come make it myself. Parent b said it was no trouble. I accepted. Two slices of toast came and apu I check the toast for signs of mould. First piece had no issues, I ate it. Second piece however had something green growing on the edge. I cut this bit off but I couldn’t shake in my head that the whole piece must be contaminated and so I took the toast back and apologised that I couldn’t eat it cos of the mould and we checked the date on the bread and it said the 30th December. Nearly a week past its best before. Parent b apologised and we threw it away. No drama.
Nearly identical situation occurred about 6 months ago with parent a. Parent a offered to make me a toasted sandwich. I said that would be very kind but I was happy to make it myself. Parent a said it was no problem, I accepted. When the sandwich came I checked the bread for mould and found green and white stuff growing down one side of the bread. I take it back to the kitchen and explain that it has mould and I’m sorry but I can’t eat it. I will make myself something else. Parent a goes ballistic. I’m “ungrateful and don’t trust them and did I really think they’d feed me mould?” I pointed out the mould- clearly visible. “Well someone must’ve not sealed the bread package properly (ie me) and that’s how it got mouldy.” I asked if parent a had checked the date and that just seemed to escalate their reaction. They stormed out screaming and crying. I checked the bread date and it was 2 or 3 days past the best before.
Aita in either situation? Parent a’s reaction made me think I was. But now I’ve had the same situation with parent b and they didn’t get angry or pissed off maybe I wasn’t the asshole? Obviously I think I need to just make my own food. Then I can’t cause trouble.
Example solution: yes
Example explanation: The post clearly mentions an event in the past when the author asked some questions to his/her parents and also describes about their reactions on that day. Hence this should be HISTORICAL.
Problem: CLAIM : The following post is HISTORICAL. POST : (Sorry for mobile formatting)
AITA for getting upset and telling my neighbor who has autism that it is not ok to randomly show up to my backdoor, invite himself in when I have guests over.
It has happened multiple times in the past where I have friends over and we are playing video games and board games and then he randomly joins us and makes it awkward for my guests and myself. This time for example, he shows up to my back door at 9pm and just says
“Hey (insert my name) looks like you guys are having fun”
He then proceeds to take his shoes off and interrupts our game. After that I finally asked him to. “leave and to not come when I have friends over” then he proceeded to cause a temper tantrum and stormed out the door.
My parents are telling me that I did the wrong thing because he can’t help it because of his condition but on the other hand he has been very obnoxious to my friends and I.
So AITA for asking him to stop coming when I have friends over?
| Solution: yes | 5 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.4866061806678772,
0.1975865513086319,
0.10237698256969452,
0.18940135836601257,
-0.16135679185390472,
-0.24706226587295532,
0.7084226608276367,
1.2660080194473267,
-0.46524369716644287,
-0.3025887608528137,
-0.14758509397506714,
0.16094866394996643,
-0.06654126942157745,
-0.1109463423490... |
Teacher:In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Teacher: Now, understand the problem? Solve this instance: Welner with introducing significant new evidence into the case in his 206-page report. Welner opined that Mitchell was competent to stand trial, and diagnosed him with pedophilia, nonexclusive type, antisocial personality disorder, narcissistic personality disorder, malingering, and alcohol abuse in a controlled environment. Welner believed that Mitchell was highly manipulative and used _his_ religious expression as way to coax people into overlooking his high function and dismissing him as delusional. <sep>, Pronoun: his <sep>, A: Welner <sep>, B: Mitchell
Student: | B | 6 | NIv2 | task329_gap_classification | zs_opt | [
-0.050921984016895294,
0.3070186376571655,
0.14246506989002228,
-0.312030553817749,
-0.407706081867218,
0.2746945321559906,
0.3709069490432739,
0.7741593718528748,
0.5558071136474609,
-0.019466591998934746,
-0.11529036611318588,
-0.04846721887588501,
-0.3764517307281494,
-0.974121212959289... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Example input: [5, 8, 9, 3, 7]
Example output: [22, 2.0, 38, 14, 30]
Example explanation: The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4.
Q: [-56, 96, 58, -77, -66]
A: | [-14.0, 24.0, 14.5, -306, -16.5] | 3 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.46113115549087524,
0.8902908563613892,
-0.33174288272857666,
-0.3605136275291443,
0.1432938277721405,
-0.27865660190582275,
1.1501810550689697,
0.02193153277039528,
-0.177250474691391,
0.3069530427455902,
-0.5673240423202515,
-0.020942654460668564,
-0.534885048866272,
-0.047749299556016... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: Kasey Kahne rode into victory early Sunday morning at Richmond International Raceway in the state of Virginia, USA, in his first Nascar Nextel Cup victory.
Hindi: बुधवार को अमेरिकी शेयर बाजारों में शुरुआती कारोबार में फोर्ड शेयरों का 2.3% बढ़कर $ 2.69 के स्तर पर पहुंच गया, जबकि टोयोटा के यूएस डिपॉजिटरी के लिए स्टॉक 5.9% बढ़कर 67 डॉलर हो गया।
No
English: Mutharika, who has in the past dismissed homosexuality as alien, stated that he was releasing the couple on humanitarian grounds.
Hindi: मुथारिका, जिसने अतीत में समलैंगिकता को बेगाने के रूप में खारिज कर दिया था, ने कहा कि वह युगल को मानवीय आधार पर जारी कर रही हैं।
Yes
English: The Frenchman joins the side despite being strongly linked with a move to Real Madrid over the last two summers.
Hindi: सिएरा लियोन की सरकार ने 18 और 19 नवंबर को लंदन में आयोजित सिएरा लियोन निवेश और दाता सम्मेलन में एक निष्पक्ष स्वास्थ्य देखभाल प्रणाली के लिए एक नई योजना के साथ महिलाओं और बच्चों के लिए उपयोगकर्ता शुल्क को समाप्त करने का इरादा व्यक्त किया था।
| No
| 0 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.2703176438808441,
-0.3809920847415924,
0.8007087707519531,
0.39080849289894104,
0.09104694426059723,
-0.05122800171375275,
-0.23706987500190735,
0.6791294813156128,
-0.1265244483947754,
-0.13444402813911438,
-0.30306991934776306,
0.21803498268127441,
-0.35817667841911316,
-0.06786905229... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Q: Sentence: 'a woman standing next to a surfboard at the ocean'. How many words start with the letter 't' in the sentence.
A: | 2 | 4 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
0.5015401840209961,
0.4976481795310974,
-1.103188157081604,
-0.694564938545227,
0.31492477655410767,
0.2555656433105469,
-0.5265101194381714,
0.16804632544517517,
0.55078125,
-0.14039677381515503,
0.24199417233467102,
-0.10225154459476471,
-0.6089448928833008,
-0.3013361096382141,
-0.775... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Input: Sentence 1: A group of men in an office looking at a large screen. Sentence 2: A group of men look at a large screen.
Output: | A group of men are on a large screen. | 3 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.5636368989944458,
1.02274751663208,
-0.016000576317310333,
-0.9412462711334229,
0.12140849977731705,
0.12422779202461243,
-0.4417974650859833,
0.38256025314331055,
0.846064567565918,
-0.530959963798523,
-0.8555873036384583,
-0.9577904343605042,
0.07827705144882202,
-0.029441166669130325... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
you don't like the company culture?
Output: | It sucks. | 1 | NIv2 | task565_circa_answer_generation | zs_opt | [
-0.22745226323604584,
0.822770357131958,
-0.23442937433719635,
0.21761056780815125,
-0.24496722221374512,
-0.07344072312116623,
0.11420529335737228,
0.42928844690322876,
0.4121158719062805,
-0.018499400466680527,
-0.08411833643913269,
-0.20368991792201996,
-0.14769138395786285,
-0.33471643... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Problem:Premise: The sliding glass door at Sam's house was dirty.
Initial Context: He used ten different cleaners on it.
Original Ending: Once he gave the final wipe the window was spotless. He was so proud that he took a picture of the clear window. He looked at the photo but it seemed less impressive.
New ending: Once he gave the final wipe the window had water spots. He was discouraged and he took a picture of the window. He sent the photo to his mom to ask for advice.
Solution: | Sam decided to wash it with just water. | 8 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.027595311403274536,
0.22562295198440552,
-0.2419348955154419,
0.15566009283065796,
0.06662419438362122,
-0.7277476787567139,
-0.47958385944366455,
1.2734661102294922,
-0.15320926904678345,
0.2683088779449463,
-0.4793192744255066,
-0.10487572103738785,
-0.26228567957878113,
-0.00791168957... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Mam teraz swoje własne menu "" zwiedzanie galerii sztuki "".
| אז כעת יש לי מעין תפריט-מסעדה של ביקור בגלריות. | 5 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.849587619304657,
0.5866290330886841,
-0.08060991019010544,
0.0602668859064579,
-0.023354094475507736,
0.30713093280792236,
0.10601352155208588,
-0.30332106351852417,
0.9199421405792236,
-0.003432431723922491,
0.3698614239692688,
0.5330808162689209,
-0.7918242812156677,
0.265665233135223... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Input: story: My grandmother has an old phone. It flipped open and had large buttons. We bought her a brand new phone. She did not understand how to use it. We had to return it to the store.
selected sentence: We had to return it to the store.
Output: | My grandmother doesn't know how to use her new phone >Causes/Enables> We return the phone | 3 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.3207935094833374,
0.4727707505226135,
-0.658620297908783,
0.0486299954354763,
0.0536159947514534,
-0.44475483894348145,
0.06882356852293015,
0.6795529127120972,
-0.25839483737945557,
0.5298485159873962,
-0.8079689741134644,
0.5231831073760986,
-0.21584893763065338,
-0.4465004503726959,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Teacher: Now, understand the problem? Solve this instance: Pensade niso como unha escavadora demolendo unha cidade ou arrasando un bosque, porque o elimina todo.
Student: | Think of it as being kind of the bulldozing of a city or of a forest, because it clears it away. | 6 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.9133598804473877,
0.9772309064865112,
0.33766934275627136,
-0.9978104829788208,
-0.2205982804298401,
-1.3966044187545776,
0.9354828000068665,
0.6072360873222351,
-0.08567643165588379,
0.011815257370471954,
0.07025150954723358,
-0.15194714069366455,
-0.8279885053634644,
-0.38082236051559... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: These symptoms were said to be due to "a serious viral infection and chemical substances which are not normally found in food products" as his campaign officials put it.
Japanese: 彼の選挙運動当局の言葉を借りれば、これらの徴候は”通常食品では見つからない重篤なウイルス感染と化学物質”によるものと言われていた。
Output: | Yes | 1 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.24805216491222382,
-0.13717061281204224,
0.6801947951316833,
0.23755934834480286,
-0.042747363448143005,
-0.28376147150993347,
0.40825027227401733,
0.408380925655365,
-0.07815099507570267,
-0.4284043312072754,
0.37603962421417236,
0.5072494745254517,
-0.41415852308273315,
0.490390390157... |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
நமது நாட்டில், சில தவறான நம்பிக்கைகள் பழக்கத்தில் வந்துவிட்டன.
| আমাদের দেশে কিছু এমন ভুল ধারণা বাসা বেধেছে। | 5 | NIv2 | task982_pib_translation_tamil_bengali | zs_opt | [
-0.0886695384979248,
1.309494137763977,
0.6233901977539062,
-0.15934066474437714,
0.09785670042037964,
-0.9129754900932312,
0.5137993097305298,
0.332177072763443,
-0.6963539123535156,
0.023849260061979294,
-0.9653979539871216,
0.4546813666820526,
-0.5829445123672485,
0.12028224766254425,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.