inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1 value | _task_name stringlengths 19 85 | _template_type stringclasses 2 values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
من خیلی وقتها احساس میکنم کارم واقعا شبیه شلیک با کلاشینکف است!
| I chose Digital Kalaeshinkov as a name because I feel many times what I am doing is like shooting with a Kalashinkov. | 5 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-1.2446929216384888,
0.8624780774116516,
0.041602153331041336,
-0.1356687843799591,
-0.17493638396263123,
0.5419902801513672,
0.662935733795166,
0.32300063967704773,
0.9107298851013184,
-0.4236825108528137,
-0.17881977558135986,
0.3084089756011963,
-0.8830411434173584,
0.582482099533081,
... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with 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.
Sentence 1: A bundled-up toddler in the snow. Sentence 2: The toddlers is swimming.
A: | It is cold outside. | 7 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-1.0861027240753174,
0.6074368953704834,
0.3680321276187897,
-0.69108647108078,
0.011450523510575294,
-0.6283282041549683,
-0.1295277178287506,
0.6911354064941406,
0.030738994479179382,
-0.5569678544998169,
-0.8190599679946899,
-0.6764324903488159,
-0.7884141206741333,
-0.10119380056858063... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, you should answer with Good.
Q: Study the short and long term problems and benefits of the Industrial Revolutions ?
A: Bad
****
Q: What can you do to help the ozone layer outside the earth increase ?
A: Good
****
Q: How many tons are 160,000 ounces ?
A: | Good
****
| 4 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.3296222686767578,
0.24256989359855652,
0.048910193145275116,
-0.14135612547397614,
-0.40683430433273315,
-0.5631347298622131,
0.00470288610085845,
0.3610602617263794,
-0.15485680103302002,
0.3389531970024109,
-0.7807958126068115,
-0.51088547706604,
-0.4309239983558655,
-0.32996901869773... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
But the Scottish Social Attitudes survey also suggested the popularity of the European Union had fallen. The researchers said this suggested focusing on EU membership may not be the best way to swing more voters towards independence. The survey has asked the same question about how Scotland should be governed every year since 1999. It was carried out by ScotCen Social Research and has been published two days after First Minister Nicola Sturgeon confirmed she wants to ask the UK government for permission to hold a second referendum on Scottish independence. Ms Sturgeon says the Brexit vote has left Scotland at a crossroads, with an independence referendum needed to allow the country to choose which path to take. But pro-UK opposition parties argue that another referendum will cause further division and uncertainty, and is not wanted by the majority of people. What are the latest polls saying? The survey comes as two polls look at the Scottish independence question. ScotCen Social Research author Prof John Curtice said you should not compare his survey to the latest polling commissioned by newspapers. He explained: "The Scottish Social Attitudes Survey is not a short term opinion poll. This was a survey that was done for the whole of the last six months of last year and it is not about trying to measure the short term variation in the weather, which the two polls out this morning try to do, but rather to look at the long term change in the climate." A key suggestion in the ScotCen survey was that the September 2014 referendum had left a "legacy of dramatically increased support" for independence. And it said the pro-independence movement looked certain to enter a second referendum campaign in a much stronger position than it had enjoyed ahead of the first referendum. Asked to choose between independence, devolution and not having any kind of Scottish Parliament at all, 46% of the 1,237 people surveyed between July and December of last year now backed independence. This is a higher level of support for independence than at any time since 1999 and double the level registered by ScotCen in 2012, when the last independence referendum campaign initially got under way. The Social Attitudes Survey suggested the increase in support for independence in recent years has been most marked among younger people. As a result, there is now a very large age gap in support for independence, with 72% of 16-24 year olds wanting to leave the UK compared with just 26% of people aged 65 and over. Independence is now the single most popular constitutional option, with 42% supporting devolution, while only 8% of those surveyed do not want any kind of Scottish Parliament at all. However, even although Scotland voted to remain in the EU by 62% to 38% in last year's referendum, the survey suggested scepticism about the institution is now at the highest level ever recorded by ScotCen. This scepticism is even common among those who voted last year to remain in the EU, the report concluded, with a majority (56%) of all Remain voters believing the EU should have fewer powers. Those who currently back independence are also divided in their views about Brexit, with a third voting to leave the EU in last year's referendum. Their support could be at risk if independence is linked firmly to EU membership, the report's author Prof John Curtice said. Prof Curtice said the pro-independence campaign had never been stronger electorally in Scotland. He added: "From its perspective, the outcome of the EU referendum appeared to be a perfect illustration of their argument that for so long as it stays in the UK, Scotland is always at risk of having its 'democratic will' overturned by England. "However, the commitment to the EU of many of those who voted to Remain does not appear to be strong enough that they are likely to be persuaded by the outcome of the EU referendum to change their preference for staying in the UK. "Meanwhile, there is a risk that linking independence closely to the idea of staying in the EU could alienate some of those who currently back leaving the UK. "Nicola Sturgeon might have been wiser to have stayed her hand, for on current trends there is a real possibility that demographic change will help produce a majority for independence in the not too distant future anyway." 'Isolated Britain' The pro-independence SNP and Scottish Greens welcomed the survey's findings, with SNP MSP Bruce Crawford arguing it was "no surprise" that more people now apparently backed independence given the "systematic unpicking" of promises made after the 2014 referendum by the UK government. Scottish Greens MSP Ross Greer said voters in Scotland deserves a choice between being "trapped in the angry, isolated Britain planned by the Tories" and "putting our future in our own hands". But Adam Tomkins of the Scottish Conservatives said the report showed there was already "significant division" in Scotland over the constitutional question, and that another referendum would only make that worse. And Scottish Labour MP Ian Murray said Scotland "must not be divided again by the SNP's obsession for a second independence referendum". | Scottish independence support 'at highest ever level' | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.5345699787139893,
0.7443109154701233,
-0.4356566071510315,
-0.25491422414779663,
0.7868812084197998,
-0.434680312871933,
0.4845272898674011,
0.31840619444847107,
-0.10395687818527222,
0.273338258266449,
0.2965865135192871,
1.234083890914917,
-0.5650305151939392,
0.043957360088825226,
-... |
instruction:
In this task, you need to Translate Czech text to English.
question:
Způsob náleží do oboru povrchových úprav kovů a řeší vytvoření povlaku na povrchu absorbéru slunečního kolektoru, který by měl dostatečnou protikorozní odolnost a současně zabezpečoval vysokou účinnost kolektoru. Podle vynálezu se toho dosáhne nanesením na povrch absorbéru, v elektrickém poli vysokého napětí, popřípadě s využitím triboelektrickóho efektu, vrstvy práškového plastu opatřené tmavým pigmentem tak, že se pigment buá vpraví do hmoty před jejím nanášením na povrch, nebo se pigment nanese na již vytvořenou vrstvu plastu, a vrstva s pigmentem se potom roztaví na souvislý povlak. Tmavý pigment je vhodné nanášet popřípadě na roztavený povrch již naneseného práškového plastu a nanesenou dvojvrstvu vytvrdit.
answer:
The method belongs to the surface industry treatment of metals and solves the formation of coating on the surface of the solar collector absorber, which has sufficient anticorrosion durability and at the same time securing high collector efficiency. According to the invention, this is the case achieved by applying to the absorber surface, in a high voltage electrical field, optionally using triboelectric effect, layers of plastic powder coated dark pigment so that the pigment is puts it into the mass before applying it to surface, or the pigment is applied to an already formed surface a plastic layer, and a pigment layer is then melted into a continuous coating. It is advisable to apply the dark pigment optionally on a molten surface already applied powdered plastic and applied cure the bilayer.
question:
Zubový rotor má v mezerách mezi zuby, u obvodové části, uspořádány výplně z nemagnetického materiálu. Tím se docílí snížení aerodynamických ztrát, vznikajících při otáčeni rotoru třením a vířením okolního prostřed! v prostorách mezi zuby rotoru a vnitřním průměrem statoru, což umožňuje, z hlediska elektromagnetického, zachovat optimální vzduchovou mezeru.
answer:
The gear rotor has gaps between teeth are provided at the peripheral portion non-magnetic material. This does it will reduce aerodynamic losses, frictional rotation of the rotor and whirling the surrounding environment! on the premises between the rotor teeth and the inner diameter stator, allowing, in terms of electromagnetic, keep it optimal air gap.
question:
Uspořádání obsahuje rotační tepelnou výměníkovou stanici (3), v níž se ochlazují spaliny (AG) kotle (1), vytápěného hnědým uhlím, přičemž teplo získané ze spalin (AG) slouží k temperování spalovacího vzduchu (VL), přiváděného do kotle (1). Paralelně k rotační tepelné výměníkové stanici (3) je uspořádána tepelná výměníková jednotka (5), pomocí níž se primární vzduch (PL) předehřívá teplem, získaným z předchlazených spalin (AG1), vystupujících z rotační tepelné výměníkové stanice (3). Rotační tepelná výměníková stanice (3) je přemostěna odbočným kouřovodem (13), na němž je uspořádán vodní tepelný výměník (14), zahřívaný spalinami (AG). Vodním tepelným výměníkem (14) proudí napájecí voda (KSW). Ta je ohřívána spalinami (AG). Na tepelnou výměníkovou jednotku (5) může být napojen výstupní tepelný výměník (18), umožňující ohřát chladné očištěné spaliny (AG4) na dostatečnou teplotu pro odvod komínem (22).ŕ
answer:
| The arrangement comprises a rotary heat exchanger station (3) in which the flue gas (AG) of the boiler (1) is heated with brown coal, the heat obtained from the flue gas (AG) serves to temper the combustion air (VL) supplied to the boiler (1) . A heat exchanger unit (5) is arranged in parallel with the rotary heat exchanger station (3) by means of which the primary air (PL) is preheated by the heat obtained from the pre-cooled exhaust gas (AG1) exiting the rotary heat exchanger station (3). The rotary heat exchanger station (3) is bridged by a branch flue (13) on which a flue gas heat exchanger (14) is arranged. The feed water (KSW) flows through the water heat exchanger (14). It is heated by flue gas (AG). An output heat exchanger (18) can be connected to the heat exchanger unit (5), allowing the cold cleaned flue gas (AG4) to be heated to a sufficient temperature for the chimney (22).
| 9 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.16566376388072968,
-0.03823944926261902,
-0.6775944232940674,
0.1319991648197174,
0.30757758021354675,
-0.7730226516723633,
0.4548453688621521,
0.8149650692939758,
-0.17966827750205994,
0.3683148920536041,
-0.015303919091820717,
0.218216672539711,
-0.2215195894241333,
0.41445255279541016... |
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".
Input: how fast is one g, Answer: This acceleration experienced by an object is due to the vector sum of non-gravitational forces acting on an object free to move.
Output: | No | 3 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
-0.38322991132736206,
0.40916770696640015,
0.1523323655128479,
-0.7103579640388489,
0.22940969467163086,
-0.6561931371688843,
0.08865255117416382,
0.6902494430541992,
-0.006393134128302336,
-0.6289713978767395,
-0.7478192448616028,
-0.5558999180793762,
-0.4791281223297119,
-0.1663417965173... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Вы скорее всего найдете змею в дыре.
Output: | Вы, скорее всего, заметите грызуна в унитазе. | 1 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.2911339998245239,
0.4582064747810364,
-0.00020371947903186083,
-0.14717799425125122,
-0.31345006823539734,
0.5718878507614136,
0.1973644495010376,
0.8717765808105469,
0.39496517181396484,
-0.24592472612857819,
-0.9291436672210693,
-0.27875030040740967,
-0.38679736852645874,
-0.017433982... |
Teacher:In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Teacher: Now, understand the problem? Solve this instance: [-53, -81, -24, -79, 68, 97]
Student: | [28, 57, 55, 147, 29] | 6 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.6599913835525513,
0.00038402099744416773,
-0.08305802941322327,
-0.45151782035827637,
-0.3313801884651184,
-0.35277828574180603,
1.0783867835998535,
0.4613080620765686,
0.3082367777824402,
-0.03573787584900856,
0.12200808525085449,
-0.5434873700141907,
-0.3378451466560364,
-0.0876594409... |
Teacher:In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Teacher: Now, understand the problem? Solve this instance: Question: What happens to Susie's chance of contracting breast cancer as she gets younger?
Answer: decreases
Student: | Breast cancer is rare in teens. It becomes more common as women get older. | 6 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.29027050733566284,
0.6129258871078491,
-0.3617614507675171,
-0.6797385811805725,
-0.03178582340478897,
-0.8079134225845337,
0.8585003614425659,
1.0216469764709473,
0.5164163112640381,
0.3476400673389435,
0.0662161260843277,
0.16346696019172668,
-0.12923675775527954,
-0.10950009524822235... |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Problem:Context Word: comma.
Solution: | Sentence 1: Although PersonX was a better English teacher than PersonY _ always questioned when to use a comma.
Sentence 2: Although PersonX was a better English teacher than PersonY _ never questioned when to use a comma. | 8 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.20488321781158447,
0.6990092992782593,
0.040737688541412354,
-0.5500304698944092,
0.26211199164390564,
-0.3235938251018524,
0.8419907093048096,
0.9634851217269897,
-0.13690981268882751,
-0.3915961980819702,
-0.22956612706184387,
0.2091175615787506,
-0.5278685688972473,
0.0577766783535480... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Es probable que encuentres un planeta en el sistema solar.
Output: Es desafortunado encontrar un planeta en el sistema solar.
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.
New input case for you: Si usted merece limpiar la casa entonces usted debe barrer la línea.
Output: | Si quieres terminar el juego, entonces debes barrer el altar. | 1 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.34486058354377747,
0.6175541281700134,
-0.36298152804374695,
-0.14053522050380707,
0.1680714190006256,
-0.4583889842033386,
0.006032789126038551,
1.3787143230438232,
0.2019624412059784,
-0.5578293800354004,
-0.3598530888557434,
0.3046535849571228,
0.00767467450350523,
-0.512281477451324... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
既に多くの場合医師に直接見てもらう必要はありません
أصلا اليوم ، ليس عليك الذهاب إلى الطبيب في عدة حالات.
（ 笑 ） 『 ID 』の記事はグラフィックデザイナーのピーター・サヴィルからファッションデザイナーのアレキサンダー・マックイーンと写真家のニック・ナイトに渡った
(ضحك) فهذه المجلة ومن خلال مصصم الجرافيك بيتر سافيل توجهت لمصممة الأزياء اليكسندر مكوين والمصور نيك نايت اللذان كانا أيضا يودان استكشاف تلك المحادثة
ですからたとえば賢くて強くて面白い子供がほしい女性は賢い男性や面白い男性強い男性とたくさん交わりそれぞれの強みを子供に受け継がせようとしますそして子が生まれた時はこれらの男性が複数自ら子供の父親であると名乗り出ます
| لذلك المرأة التي تريد أن تملك طفلا ذكيا ومضحكا وقويا ينبغي عليها أن تتاكد أنها مارست الكثير من الجنس مع شخص ذكي, وشخص مضحك وشخص قوي, لتحصل على جوهر كل من هؤلاء الرجال داخل طفلها, وحينما يولد الطفل, سيأتي هؤلاء الثلاثة رجال ويعترفون بأبوتهم على الطفل.
| 0 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.8698970675468445,
-0.3081739842891693,
-0.12692517042160034,
-0.6134023666381836,
-0.5510514378547668,
0.29511162638664246,
0.8929250240325928,
-0.505468487739563,
0.6563535928726196,
-0.43469929695129395,
-0.8736076354980469,
0.23868538439273834,
-0.64879310131073,
0.4876970052719116,
... |
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Example Input: Poster: There's a reason our state motto is "Agriculture and commerce." Here in Tennessee, agriculture is vital to our way of life and our state economy. Today especially, let's be sure to thank our farmers and ranchers who work so hard to build stronger, healthier communities. #AgDay2015 Responser: You can thank Obama, RINOs,You can thank Obama and the democrats for this! http://www.washingtontimes.com/news/2015/mar/18/dhs-released-another-30000-criminal-aliens-streets/
Example Output: Negative
Example Input: Poster: I was honored to congratulate and welcome 19 new U.S. citizens at a naturalization ceremony at Lewis and Clark National Historical Park yesterday. Responser: Congratulations to each and every one.
Example Output: Positive
Example Input: Poster: I'll work w/ anyone ready to work w/ me to fund govt. & avoid economic crash. But Tea Party must awake from this de-funding #obamacare dream Responser: I enjoyed reading your dream comment.
Example Output: | Positive
| 3 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.5950441360473633,
0.23291000723838806,
0.04409053176641464,
0.4738662838935852,
0.1125144436955452,
-0.8655011057853699,
0.06896005570888519,
0.9002947211265564,
0.21481522917747498,
0.462890625,
-0.6505638360977173,
0.7244285345077515,
0.1944875866174698,
0.03289388120174408,
-0.1942... |
TASK DEFINITION: In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
PROBLEM: [-57.334, 24.995, 72.22, -78.376, 218.297, 203.999, 21.93, -20.246, 15.97]
SOLUTION: 44.606
PROBLEM: [34.678, 109.562]
SOLUTION: 72.12
PROBLEM: [62.624, 94.787]
SOLUTION: | 78.706
| 8 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.28762882947921753,
0.34177327156066895,
-1.124980092048645,
-1.243025302886963,
-0.12593436241149902,
0.5409880876541138,
0.7433767914772034,
0.1625102013349533,
-0.19255246222019196,
-0.2262216955423355,
-0.9958261847496033,
0.3557306230068207,
-0.871543824672699,
0.4177165627479553,
... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: Consider Input: Where does vanilla come from in the world?
Output: Which country is the top vanilla producer in the world?
Input: Consider Input: Who is the parent company of dunkin donuts?
Output: Who was the parent company of Dunkin Donuts in 1990?
Input: Consider Input: Who wrote the book art of the deal?
| Output: Who actually wrote the book art of the deal?
| 2 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.7654198408126831,
0.9287838935852051,
0.5281794667243958,
-0.3276599049568176,
-0.703182578086853,
0.8987625241279602,
0.063133604824543,
0.20834514498710632,
0.1913387030363083,
0.057111915200948715,
-0.2592196762561798,
0.43654361367225647,
-1.2309149503707886,
-0.3447651267051697,
... |
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.
Example: È probabile che in futuro chiamerete una lista dei nomi.
Example solution: E' probabile che troviate una carta dei vini al ristorante.
Example explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
Problem: È probabile che aiuti un topo in giro in un posto abbandonato.
| Solution: È probabile che spazzi un topo in una tana abbandonata. | 5 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.12839363515377045,
0.16265499591827393,
-0.16922211647033691,
0.6218502521514893,
-0.20372682809829712,
-0.7508294582366943,
0.5194410085678101,
1.3163914680480957,
-0.15217894315719604,
-0.2217269241809845,
-0.9573229551315308,
0.1413702517747879,
-0.17777204513549805,
0.09883922338485... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX asks ___ to go with PersonY<sep>Tail: has a good time
A: | No | 9 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.35557228326797485,
0.4083337187767029,
0.2968505620956421,
-0.38691088557243347,
-0.5437395572662354,
-1.1232880353927612,
1.2659200429916382,
0.2611828148365021,
-0.4777427911758423,
-0.466256707906723,
-0.4641525149345398,
-0.34206753969192505,
-0.6634312272071838,
0.25158125162124634,... |
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: religious or non-political religious on the topic.
Q: কি বর্বর হায়েনা মালাউন ওরে ঔসধ দিয়ে ভালা করে আবার ধর্ষন করব। ওর মরাই উচিত।কারন ওটা মালু দ্যাশ
A: | religious | 4 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.5051271915435791,
0.33341601490974426,
0.5951072573661804,
-0.06988842785358429,
-0.5514487028121948,
-0.6282258033752441,
-0.00928826816380024,
0.2014876902103424,
-0.025493182241916656,
0.29609280824661255,
-0.7947673201560974,
-0.20628967881202698,
-0.15518444776535034,
-0.6333080530... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
['X', '1845', '2469', 'E', '3229', '7325', '6421', 'Z', 'p', 'w', 'S', 'N', '2553', '8661', '533', '1169', 'B', '7013', '6453', 'Y', 'V', '531']
| X, E, Z, p, w, S, N, B, Y, V, 1845, 2469, 3229, 7325, 6421, 2553, 8661, 533, 1169, 7013, 6453, 531 | 5 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.0776977613568306,
0.5534810423851013,
0.029771436005830765,
-0.1154264360666275,
-0.012023739516735077,
-0.5182102918624878,
0.6803383827209473,
0.1561407446861267,
-0.19772908091545105,
0.4046540856361389,
-0.5601083040237427,
0.2759075164794922,
-0.0815044566988945,
-0.3326947987079620... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
But Joshua the son of Nun, which standeth before thee, he shall go in thither: encourage him: for he shall cause Israel to inherit it.
Output: | و اموریانی که در آن کوه ساکن بودندبه مقابله شما بیرون آمده، شما را تعاقب نمودند، بطوری که زنبورها میکنند و شما را از سعیر تاحرما شکست دادند. | 1 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.08306405693292618,
0.6705207228660583,
-0.6132578253746033,
-0.01104767620563507,
-0.6700606346130371,
0.5566662549972534,
1.0022714138031006,
0.600432276725769,
0.8516083359718323,
0.719485878944397,
-0.24396473169326782,
0.8213905096054077,
-0.4190773367881775,
-0.27967238426208496,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Ex Input:
12, 14, ['L', 'k', 'r', '5885', 'T', '117', '8029', 'z', '2773', 'I', 'X', '3375', 'e', 'N', 'a', '7099', 'I', '8579']
Ex Output:
3375eN
Ex Input:
1, 4, ['5373', '6833', 'R', '961', '7647', 'M', 'b', 'u', '59', 'y', '2869', 'H', '1291', 'o', 'O', '7231', '3891', 'Z', '2063', 's', 'y']
Ex Output:
53736833R961
Ex Input:
4, 22, ['H', 'x', 'C', '2591', 'y', '9063', 'w', 'c', 'D', '2133', 'P', '179', '1665', 'l', 'w', 'K', '8039', '3943', 'u', 'i', '9861', '2635', 't', '3117']
Ex Output:
| 2591y9063wcD2133P1791665lwK80393943ui98612635
| 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.06619418412446976,
-0.08456026017665863,
-0.5362621545791626,
-0.04729351028800011,
-0.2765708863735199,
-0.3177728056907654,
0.6184279322624207,
0.23605811595916748,
-0.7561011910438538,
0.037058163434267044,
-0.8637703657150269,
0.12292265892028809,
0.2780684530735016,
-0.0173902362585... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with 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.
One example is below.
Q: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
A: Tom had gone into the store before he was seen by Jon.
Rationale: Tom must have gone into the store to come out of it.
Q: Sentence 1: A man dressed in all red is playing his sport with an official in black watching the bounds of the play area. Sentence 2: There man in red scores a goal while the official watches to make sure it was fair.
A: | There is a man playing a sport. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.3298015892505646,
0.8187990188598633,
0.47919684648513794,
-0.5698951482772827,
0.12811100482940674,
-0.2197953462600708,
-0.43010881543159485,
0.7164153456687927,
0.2886331081390381,
-0.37814706563949585,
-1.0380054712295532,
-0.1450926810503006,
-0.5515553951263428,
-0.258388340473175... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Input: Il fatto che il mio colore preferito ora è il blu, ma sono sempre gay — (Risate) — è la prova dell'influenza e dei limiti di mia madre. (Risate)
Output: | 現在の私は青が好きですが相変わらずゲイですから ― （ 笑 ） これは母親の影響力とその限界を同時に証明している訳です （ 笑 ） | 2 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.6732827425003052,
0.4610002338886261,
-0.18870502710342407,
-0.3905271589756012,
-0.21420103311538696,
-0.4254912734031677,
-0.2804035544395447,
1.076568603515625,
0.33098194003105164,
-0.3608444333076477,
-0.7099751234054565,
0.23577715456485748,
-0.3387500047683716,
0.3932006061077118... |
Definition: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Input: “For God shows no partiality.”nRomans 2
Output: | Hope Speech | 2 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.017581487074494362,
0.019704818725585938,
0.6181260347366333,
0.11821681261062622,
-0.595061182975769,
-0.863419234752655,
0.13586199283599854,
0.6673935055732727,
0.0805155485868454,
0.13721734285354614,
-0.010004924610257149,
-0.12060043960809708,
-0.11148533225059509,
-0.104309260845... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[Q]: aXjEmgxvNTPQOsALQXNCKRYK, opyxPlJDzYmgxvNTPQOshbAlqZu
[A]: a, b, d, g, h, j, l, m, n, o, p, q, s, t, u, v, x, y, z
[Q]: fcwAtfimtQdYEhfQHamIIcWUXmlnRAx, omxuQGoCdYEhfQHamIIcwNUQOM
[A]: a, c, d, e, f, h, i, l, m, n, q, r, t, u, w, x, y
[Q]: NStgIMEKRHYHo, ljSgIMEKLg
[A]: | e, g, h, i, k, m, n, o, r, s, t, y
| 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.18526695668697357,
1.1423933506011963,
0.03712473809719086,
-0.6088510751724243,
0.29337289929389954,
0.058109886944293976,
0.9121466279029846,
-0.09778828918933868,
-0.017497066408395767,
0.017125003039836884,
-0.8691351413726807,
-0.16168838739395142,
0.10281035304069519,
-0.366751253... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Context: In February 1933 he moved to HMS Dolphin Link Information: The seventeenth Royal Navy vessel to be named HMS Dolphin was the Royal Naval shore establishment sited at Fort Blockhouse in Gosport. Dolphin was the home of the Royal Navy Submarine Service from 1904 to 1999, Question: When was the ship he moved to in 1933 put into service?
A: | Answer: 1904 | 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.6689687967300415,
0.4412439167499542,
0.19782279431819916,
-0.7915538549423218,
0.7358587980270386,
-0.5620209574699402,
0.3370286226272583,
-0.3310224711894989,
0.11041449755430222,
-0.03753058612346649,
0.3480958640575409,
0.0696994811296463,
-0.41285261511802673,
-0.39539632201194763... |
This task is to translate the English language Input to Telugu Language Output
Ex Input:
Telugu
Ex Output:
మూడ్ రత్నాలు
Ex Input:
"Best time I ever had!!!!"
Ex Output:
"నాకు లభించిన ఉత్తమ సమయం !!!!"
Ex Input:
Game Two heroes of Disney online
Ex Output:
| ఆట డిస్నీ యొక్క రెండు నాయకులు ఆన్లైన్
| 1 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.6688152551651001,
0.3413480818271637,
-0.055931735783815384,
0.28313571214675903,
-0.5496474504470825,
-0.15214556455612183,
0.447543740272522,
0.2628837525844574,
-0.31018805503845215,
-0.250699907541275,
-0.12596219778060913,
-0.041199758648872375,
-0.7619233727455139,
-0.291718870401... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
Displays the document relations of a document
Solution: दस्तावेज़ का दस्तावेज़ सम्बन्ध प्रदर्शित करता है
Why? The sentence is accurately translated
New input: Set here the width in pixels used to draw guides dashed-lines.
Solution: | बहुत सी फ़ाइलों का प्लेसहोल्डर, जीयूआई में नहीं | 0 | NIv2 | task877_kde4_translation | fs_opt | [
-0.7682580947875977,
0.0893930047750473,
0.42195335030555725,
-0.12984029948711395,
-0.07909192144870758,
-0.13797536492347717,
0.5635919570922852,
0.008577548898756504,
-0.2146419733762741,
-0.9458063244819641,
-0.6098437309265137,
0.12069771438837051,
-0.10298628360033035,
0.612615108489... |
Detailed Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Q: We've come back from some rocky dealings, but Mitierry is stronger than ever before!
A: | Okay, well, I mean, he's a trusted brand name, and Twinkie is nothing to sneeze at. | 9 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.43217092752456665,
0.7142304182052612,
0.5823462009429932,
-0.1134449690580368,
0.4074894189834595,
-0.9452027082443237,
0.012376870959997177,
0.6428408622741699,
0.00889344047755003,
-0.5902227163314819,
-0.5462149977684021,
-0.22606348991394043,
-0.7395733594894409,
0.5876661539077759,... |
Detailed Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Q: Event:PersonX meets PersonY's demands. Intent: 1) to be popular. XEmotion: 1) popular because his friends liked the pictures
A: | appeciative | 9 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.35574400424957275,
0.0029202045407146215,
0.059560805559158325,
-0.2973199784755707,
-0.259477436542511,
-0.8544297218322754,
0.6893198490142822,
0.20105832815170288,
0.022387050092220306,
-0.3090585470199585,
0.4735305905342102,
-0.12327700853347778,
-0.6184003353118896,
0.1210407689213... |
Part 1. Definition
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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Part 2. Example
Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping in the store.
Answer: Tom had been shopping for fruit to give Jon.
Explanation: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Part 3. Exercise
Sentence 1: A woman sits next to a smiling young girl, both seated at a table for a meal. Sentence 2: A woman sits next to a girl.
Answer: | A mother sits next to her daughter. | 7 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.05182807892560959,
0.10845449566841125,
0.27977222204208374,
-0.2582222819328308,
0.4251743257045746,
-0.13115261495113373,
-0.22045889496803284,
0.7700732350349426,
0.3078024387359619,
-0.06517249345779419,
-0.6233120560646057,
-0.38121497631073,
-0.7379763722419739,
-0.3480917811393738... |
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.
Input: Soften butter quickly.
Output: | Microwave a glass of milk, pour milk out, then place glass on top of butter. | 3 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.13450020551681519,
1.2543141841888428,
-0.5500567555427551,
0.205094575881958,
-0.39992812275886536,
-0.3972557783126831,
0.37512868642807007,
0.5481224656105042,
0.18988478183746338,
0.20163747668266296,
-0.33854982256889343,
0.12901802361011505,
-0.10278171300888062,
-0.462017297744751... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Q: Gujarati: ઘણા લોકો અને બરફીલા પર્વત તળિયે સ્નોબોર્ડસ
English: A baby sitting on a females lap staring into the camera.
A: | No | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.6425754427909851,
0.6425701379776001,
-0.2964039146900177,
0.07978284358978271,
-0.1010546013712883,
-1.0899699926376343,
0.5599766969680786,
0.058549463748931885,
0.08891397714614868,
-0.8618758916854858,
-0.3434474468231201,
0.5569536685943604,
-0.6636598110198975,
0.3290621042251587,... |
Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Input: Sam eyeballed the rest of my pizza .
Output: | Original | 3 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.8362463116645813,
1.001946210861206,
0.6319447755813599,
-0.42356640100479126,
-0.2580956220626831,
-0.10516898334026337,
0.06293079257011414,
0.7335910797119141,
0.06161494553089142,
-0.4503172039985657,
-0.34982216358184814,
-0.16411960124969482,
-0.9118166565895081,
-0.05114574357867... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
One example is below.
Q: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
A: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Rationale: The Farsi sentence is correctly translated into Arabic, because the meaning is preserved.
Q: تولد نوزاد ، یک امر روانی بوده و خواهد بود.
A: | تعتبر الولادة ، وهي كذلك دائما ، حدثا نفسيا هائلا. | 9 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.6694822907447815,
0.30401110649108887,
-0.6769590377807617,
-0.6017553806304932,
-0.14283475279808044,
-0.037248071283102036,
1.1950455904006958,
0.07308340072631836,
0.3639400601387024,
0.1025073379278183,
-0.7890228629112244,
0.36221471428871155,
-0.24125075340270996,
0.76234328746795... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
[EX Q]: این شکل خیابان در ۶ سال پیش است.
[EX A]: וככה זה נראה לפני שש שנים.
[EX Q]: به ما این امکان را می دهد که به حافظه دراز مدتمان دسترسی داشته باشیم و مقداری از آن را که احتیاج داریم بیرون بکشیم ، مخلوطش کنیم ، با توجه به هر آنچه که هدف حال ما است.
[EX A]: הוא מאפשר לנו להגיע חזרה לזיכרון ארוך הטווח שלנו ולשלוף חלק ממנו כשאנו נזקקים לו, מערבב אותו, מעבד אותו לאור כל מה שהמטרה הנוכחית שלנו היא.
[EX Q]: اینها خلاقیتهای هنری ابتدایی در این پروژه هستند.
[EX A]: | אלה השראות ראשונות לפרוייקט הזה.
| 6 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-0.38240915536880493,
0.845734179019928,
0.3469356894493103,
-0.16809049248695374,
-0.2954850494861603,
-0.05835816636681557,
0.746117353439331,
0.21087424457073212,
0.9002524614334106,
-0.5509419441223145,
-0.8760765194892883,
0.59526127576828,
-0.5437408089637756,
0.3520413637161255,
0... |
Detailed Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Problem:Entity 1: bumble bee
Entity 2: abdoman
Solution: | yes | 8 | NIv2 | task472_haspart_classification | zs_opt | [
-0.942115306854248,
0.4414968490600586,
0.6565827131271362,
0.14318948984146118,
-0.27967625856399536,
-0.49380791187286377,
0.12176793813705444,
0.42743462324142456,
0.5427854061126709,
-0.6600902676582336,
-0.6676359176635742,
-0.07901108264923096,
-0.2507950961589813,
-0.001199933118186... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Problem: Person1: My eyes water continuously . Why ?
Person2: Perhaps because of the dirty air .
Person1: What is there in the air ?
Person2: Some poisonous gas .
Person1: I can't believe that the air in this city is so dirty .
Person2: Yes . I think I won't come here again next time .
Person1: So do I .
Person2: We waste a vacation .
Person1: Maybe you are right .
Solution: | 1 | 8 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.11930689215660095,
1.2384167909622192,
-0.014773251488804817,
-0.981940507888794,
0.008856969885528088,
-0.6005065441131592,
0.28681421279907227,
0.2731308043003082,
0.07586435973644257,
-0.2947067618370056,
-0.2713041603565216,
-0.8368104696273804,
-0.7991045713424683,
-0.1052325367927... |
Given the task definition, example input & output, solve the new input case.
In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are based on verbs, an event can also be based on a noun (ex. storm, snow, rainfall) or a copula verb (is, was, been, etc.). The event must not be a pronoun or an adjective. For noun events with multiple words, use the last word in the phrase as event.
Example: Passage: I submitted the hit. The hit was approved, and then I was paid.
Output: approved
There are three events in this passage (i) submission event ("submitted") (ii) the approval event ("approved"), and (iii) the payment event ("paid"). You can use any one of them as an output.
New input case for you: Passage: "Our company has not been able to cope very effectively with" changes in the marketplace, said Ryosuke Ito, Sansui's president. But even a Japanese company that looks like a dog may turn out to be a good investment for a foreign concern, some management consultants maintain.
Output: | been | 1 | NIv2 | task388_torque_token_classification | fs_opt | [
0.6463038325309753,
0.5139355659484863,
0.20593035221099854,
0.5560501217842102,
0.037199608981609344,
-0.11552996933460236,
-0.28285831212997437,
1.0632874965667725,
-0.11420807987451553,
0.09151870012283325,
-0.12756076455116272,
-0.20893594622612,
-0.03259386494755745,
-0.26568818092346... |
You will be given a definition of a task first, then some input of the task.
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Transdifferentiation of bone marrow cells (BMC) into insulin-producing cells might provide a new cellular therapy for type I diabetes, but its existence is controversial. Our aim was to determine if those cells could transdifferentiate, even at low frequency, into insulin-producing cells, in testing optimized experimental conditions.', 'We grafted mice with total BMC, genetically labeled either ubiquitarily, or with a marker conditionally expressed under the control of the insulin beta-cell specific promoter. We treated some of the recipients with an agent toxic to beta-cells (streptozotocin) and with cytokines stem cell factor (SCF) and granulocyte-colony stimulating factor (G-CSF).', 'The contribution of grafted cells could be detected neither for natural turnover (n=6), nor for beta-cell regeneration after pancreatic lesion (n=7), 90 days post-transplantation. Cytokine mobilization of BMC in the blood stream, reported to favor their transdifferentiation into cardiac and neural cells, had never been tested before for beta-cell generation. Here, we showed that injection of SCF and G-CSF did not lead to a detectable level of transdifferentiation (n=7).
Output: | Do cytokine mobilization of bone marrow cells and pancreatic lesion improve streptozotocin-induced diabetes in mice by transdifferentiation of bone marrow cells into insulin-producing cells? | 1 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.3934144973754883,
0.5033789873123169,
-0.6215898394584656,
-0.0737139955163002,
0.34396955370903015,
-0.8623991012573242,
-0.29611316323280334,
1.336049199104309,
0.6234793663024902,
0.0222255177795887,
-0.8589179515838623,
-0.15876126289367676,
-0.11585505306720734,
0.5332688093185425,
... |
Teacher: A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Union Minister of Agriculture and Farmers Welfare Shri Radha Mohan Singh today met Ms
Solution: தொழிற்சங்க வேளாண் மற்றும் விவசாயிகள் நலத்துறை அமைச்சர் ஸ்ரீ ராதா மோகன் சிங் இன்று எம்.எஸ்
Reason: Correct translation for given sentence. Input sentence means 'Union Minister of Agriculture and Farmers Welfare Shri Radha Mohan Singh today met Ms' which is the same as the output sentence.
Now, solve this instance: To pull the poor out of this situation, efforts are going on to provide a house to every homeless poor under Pradhan Mantri Awas Yojana.
Student: | இந்த சூழ்நிலையில் இருந்து ஏழைகளை வெளிக்கொண்டு வருவதற்கு, பிரதம மந்திரி ஆவாஸ் யோஜனா திட்டத்தின்கீழ், ஒவ்வொரு வீடற்ற ஏழைகளுக்கும் ஒருவீட்டை வழங்குவதற்கு முயற்சிகள் மேற்கொள்ளப்படுகின்றன. | 2 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
-0.2608448266983032,
0.10389220714569092,
-0.1524701714515686,
-0.04117351770401001,
0.27919891476631165,
-0.7505388259887695,
-0.16901472210884094,
0.08337707817554474,
-0.49998152256011963,
0.4629320800304413,
-0.18655920028686523,
0.27398377656936646,
0.301252156496048,
0.16628731787204... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Spanish.
And so working in this kind of open way in an art practice you get to end up here, place where you never would have expected.
| De modo que al trabajar de esta forma abierta en prácticas artísticas uno termina en lugares que nunca habría esperado. | 5 | NIv2 | task1691_qed_amara_translation | zs_opt | [
-0.4997852146625519,
0.651671826839447,
-0.08945881575345993,
0.09845418483018875,
-0.04679267480969429,
-0.33584511280059814,
-0.5767754316329956,
0.8210132122039795,
0.43233901262283325,
-0.694752037525177,
-0.08182624727487564,
0.4759739637374878,
-0.2067602574825287,
0.0967583358287811... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
--------
Question: Láìpẹ́ yìí ni wọ́n gba Irina láàyè láti máa bá Dennis sọ̀rọ̀ lẹ́ẹ̀kan lójúmọ́ lórí fóònù.
Answer: Yoruba
Question: In another area, our brothers and sisters found a group of people who met together twice a week to study the Bible.
Answer: English
Question: Ní báyìí, ó kù sọ́wọ́ Ilé Ẹjọ́ Gíga Jù Lọ láti sọ ìgbà tí wọ́n máa dá ẹjọ́ mẹ́tẹ̀ẹ̀ta tó lápẹẹrẹ tí wọ́n gbé yẹ̀ wò yìí àti ibi tí wọ́n máa jẹ́ kí ọ̀rọ̀ náà já sí.
Answer: | Yoruba
| 7 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.1839345544576645,
0.34720319509506226,
0.4284331202507019,
0.24882549047470093,
0.04586845636367798,
-0.6273162364959717,
-0.23947517573833466,
0.45269984006881714,
0.08803966641426086,
-0.44864845275878906,
-0.7081437110900879,
0.4712678790092468,
-0.6835335493087769,
-0.104670390486717... |
Given the task definition, example input & output, solve the new input case.
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: نئی دہلی،13۔اپریل ۔ صدر جمہوریہ جناب پرنب مکھرجی نے راشٹرپتی بھون میں منعقد ایک تقریبِ تقسیم اعزازات میں پدم وبھوشن ، پدم بھوشن اور پدم شری ایوارڈ ز پیش کئےم ن ۔س ش۔ رم
Output: નવી દિલ્હી, 13.apple.પ્રમુખ રિપબ્લિકન શ્રી પ્રણવ મુખર્જીએ રાજસ્થાન ભવન, પદમુ, પદમ ભૂષણ અને પદ્મ શ્રી પુરસ્કારમાં એક સમારંભ યોજ્યો હતો.રિમ
Correct translation for given sentence. Input sentence means 'New Delhi, 13.Apple.President republican Mr. Pranab Mukherjee held a ceremony held in Rajasthan Bhawan, Padmu, Padam Bhushan and Padma Shri Award.Rim' which is the same as the output sentence.
New input case for you: صارفین کے امور، خوراک اور تقسیم عامہ کی وزارت میں وزیر مملکت
Output: | ગ્રાહક બાબતો, ખાદ્યાન્ન અને જાહેર વિતરણ મંત્રાલયનાં રાજ્ય મંત્રી | 1 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.08302522450685501,
0.1946614682674408,
0.12760233879089355,
-0.257959246635437,
-0.6041077375411987,
0.003926372155547142,
0.1754559576511383,
-0.1459665298461914,
0.11726072430610657,
-0.33876967430114746,
-0.69437575340271,
0.38783010840415955,
-0.200785294175148,
0.2095431089401245,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Q: Professor: E então, já apanhaste a imagem de novo?
A: | Nauczyciel: Masz to z powrotem? | 9 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.31388115882873535,
0.7005656957626343,
0.26244068145751953,
-0.5362851619720459,
-0.2576996088027954,
-0.436811625957489,
0.3886025547981262,
0.3022024631500244,
0.4778135120868683,
-0.09681650251150131,
-0.2468504011631012,
0.1184394508600235,
-0.10232630372047424,
0.9008560180664062,
... |
Teacher:Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Teacher: Now, understand the problem? Solve this instance: Sentence: Although the legislation would apply to acquisitions involving any major airline , it is aimed *-25 at * giving the Transportation Department the chance * to review in advance transactions financed * {{ by }} large amounts of debt .
Word: by
Student: | ADP | 6 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.425204873085022,
0.05877288058400154,
-0.11785769462585449,
0.04439474269747734,
-0.1105668693780899,
-0.4361644387245178,
0.6842665076255798,
0.7244445085525513,
-0.4541080892086029,
-0.1543896198272705,
-0.5452684164047241,
0.1364065408706665,
-0.5445313453674316,
0.07583306729793549,
... |
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.
Q: the sum of the points record of all rows is 167 .
A: round_eq { sum { all_rows ; points } ; 167 }
****
Q: select the row whose total record of all rows is minimum . the player record of this row is seve ballesteros .
A: eq { hop { argmin { all_rows ; total } ; player } ; seve ballesteros }
****
Q: select the rows whose wood record fuzzily matches to green . there is only one such row in the table .
A: | only { filter_eq { all_rows ; wood ; green } }
****
| 4 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.6256279349327087,
-0.02362027019262314,
-0.4798547029495239,
0.3987070918083191,
0.2393416315317154,
-0.6276699900627136,
0.49560976028442383,
0.4898603558540344,
0.22444412112236023,
-0.23183691501617432,
-0.26705706119537354,
-0.08071863651275635,
-0.1342298686504364,
0.428417086601257... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: Vexamos uns vídeos do que pasou cando probamos estes fármacos en vermes.
A: Veamos unos videos de lo que sucedió al probar estos fármacos en gusanos.
****
Q: Moitos de nós pensamos que a compaixón nos baleira, mais asegúrovos que é algo que nos fortalece.
A: Muchos pensamos que la compasión nos agota, pero les aseguro que es algo que realmente nos anima.
****
Q: E pensei. "" Que estou a pensar?
A: | Y pensé: "" ¿Qué estoy pensando?
****
| 4 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-1.0747418403625488,
0.8450022339820862,
-0.007070664782077074,
-0.8151233196258545,
-0.3354133367538452,
-1.3828489780426025,
1.0318546295166016,
1.135396957397461,
-0.13474175333976746,
-0.07955143600702286,
-0.22500157356262207,
0.4342426061630249,
-0.35827380418777466,
0.51344072818756... |
Definition: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Input: آن جماعت را روزگار به سر آمد؛ دستاورد آنان براى آنان و دستاورد شما براى شماست؛ و از آنچه آنان مىکردهاند، شما بازخواست نخواهید شد.
Output: | Those were the people, and they have passed away. Theirs the reward for what they did, as yours will be for what you do. You will not be questioned about their deeds. | 2 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.6472030282020569,
0.9001596570014954,
-0.4612640142440796,
-0.748623788356781,
-0.707925021648407,
0.3004280626773834,
0.9771161079406738,
0.47088906168937683,
0.4173140823841095,
0.28936392068862915,
-0.8564354181289673,
0.6144117116928101,
-0.5848840475082397,
0.3109273910522461,
0.... |
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of 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.
and { only { filter_eq { filter_eq { all_rows ; previous conference ; northern indiana } ; mascot ; roughriders } } ; eq { hop { filter_eq { filter_eq { all_rows ; previous conference ; northern indiana } ; mascot ; roughriders } ; school } ; east chicago roosevelt } }
A: | unique | 7 | NIv2 | task212_logic2text_classification | zs_opt | [
0.2648140490055084,
-0.43316328525543213,
-0.3268740773200989,
0.36010903120040894,
0.3385782539844513,
-0.7175753712654114,
0.7465710639953613,
0.6901299953460693,
0.4892483949661255,
0.09990756213665009,
-0.054937705397605896,
0.18979623913764954,
0.01570298708975315,
0.5260148048400879,... |
You will be given a definition of a task first, then some input of the task.
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
basketball is part of game
Output: | basketball PartOf game | 1 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.5441002249717712,
0.8967808485031128,
-0.27775681018829346,
0.08288883417844772,
0.057289429008960724,
-0.14174899458885193,
1.1665141582489014,
0.07707476615905762,
0.38978761434555054,
-0.825485110282898,
-0.5924184322357178,
0.2876877188682556,
-0.7580134868621826,
-0.0815669968724250... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Q: Porque o motivo de reunificar a política e a economía é que, se non o facemos, a innovación tecnolóxica vai xerar unha caída enorme na demanda agregada, o que Larry Summers denomina como estancamento secular.
A: | لأن الهدف الأساسي من توحيد المجالين الإقتصادي والسياسي هو — إذا لم نفعل ذلك ، فبالتالي ستُحدِث الإبتكارات التكنولوجية تدني كبير في الطلب الكلي ، وهو ما يشير له لاري سمرز بالركود العلماني. | 4 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-1.247443675994873,
0.8247414827346802,
0.1686607003211975,
-0.6274468898773193,
-0.7949844598770142,
-0.7996582984924316,
-0.05566486716270447,
0.02921486273407936,
-0.14338606595993042,
0.4250295162200928,
-0.3009178042411804,
0.3474297523498535,
-0.1652882844209671,
0.32078421115875244,... |
Detailed Instructions: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Problem:['367', '463', '229']
Solution: | 2, 3, 4, 6, 7, 9 | 8 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
0.015225364826619625,
0.09512201696634293,
-0.4992312788963318,
-0.8044570684432983,
-0.4443995952606201,
0.7059322595596313,
1.2945231199264526,
-0.40827274322509766,
-0.6891121864318848,
0.027301251888275146,
-0.47803494334220886,
-0.30729740858078003,
-0.6646894216537476,
-0.15159009397... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Problem:story: Amy took her kids sledding when it snowed. they climbed up the hill and sled down it. Eventually they had a snowball fight. After a few hours Amy said it was time to go home. They got hot chocolate and went back home.
selected sentence: Amy took her kids sledding when it snowed.
Solution: | Her kids like(s) sledding >Motivates> Amy takes her kids sledding | 8 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.3863871097564697,
-0.1826801300048828,
-0.001301758922636509,
-0.140574112534523,
0.11397393047809601,
-1.1342850923538208,
0.2766609191894531,
0.6442726850509644,
0.0024915672838687897,
-0.1716725379228592,
-0.6857610940933228,
0.3513001799583435,
-0.7758440971374512,
-0.17161072790622... |
TASK DEFINITION: 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.
PROBLEM: how to make a tire swing
SOLUTION: Find a suitable old, clean the tire, find a branch where you can hang your tire swing, drill some drainage holes into the tire, use a ladder to get up to the branch.Place the rope over the tree branch and loop it around tire, then attach other end of rope around the edge of tire and secure it very well. Then test out the swing
PROBLEM: to make scrambled eggs in the microwave
SOLUTION: Beat eggs, milk, salt and pepper in microwave-safe bowl until blended. Microwave on high 45 seconds, stir, microwave again until eggs are completely done, usually for 60 to 100 seconds.
PROBLEM: To check that a deep fried turkey has been thoroughly cooked,
SOLUTION: | insert a meat thermometer into the leg of the turkey and ensure it reads at least 180F.
| 8 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.6927741765975952,
0.02749042399227619,
-0.6217058300971985,
0.7276189923286438,
-0.078229159116745,
0.012764778919517994,
0.8869510889053345,
0.6969659924507141,
-1.093019962310791,
0.34422826766967773,
0.5133035778999329,
0.24454385042190552,
-0.4728735685348511,
0.327739953994751,
0.... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Cosa farebbero i bambini se si annoiassero?
Options: A passeggiata B cambiare le scarpe C odore di fumo D giocare tag E raggiungere oltre
Output: | D | 1 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | zs_opt | [
0.3549138605594635,
0.4372399151325226,
-0.7485313415527344,
0.3753945231437683,
-0.7770035266876221,
-0.14297494292259216,
1.0015897750854492,
0.7277051210403442,
-0.33009254932403564,
-0.4504053592681885,
-0.06792245805263519,
0.5824869275093079,
0.041656918823719025,
-0.2206342518329620... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Two dissenting judges of the five concluded that these distinctions are unconstitutional, but correction of it depends, in principle, on legislative measures by the Diet.
Output: | पांच में से दो विवादास्पद न्यायाधीशों ने निष्कर्ष निकाला कि ये भेद असंवैधानिक हैं, लेकिन इसका सुधार सिद्धांत रूप से Diet की विधायी उपायों पर निर्भर करता है। | 2 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.10659231245517731,
0.0911855697631836,
0.4248889088630676,
0.10496508330106735,
0.06818197667598724,
-0.2160884141921997,
0.3906187415122986,
0.6080161929130554,
-0.32497429847717285,
-0.5351821184158325,
-0.592454731464386,
-0.5168894529342651,
-0.8462604880332947,
0.312206506729126,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you should output 0 for that list.
[[4, 4, 12, -6], [-9, 5, -6, -1], [8, 3, 9, -5, 1]]
Solution: [0, 45, -135]
Why? The first inner list has no odd integers, so the first number in the output is 0. The second list has -9, 5, -1 for odd integers so the second output is 45. The third list has 3, 9, -5, 1 as even numbers so the third output is -135. This is a good example.
New input: [[-44, 23], [6, 13, -47], [4, -43], [40, 28, -6], [-21, -33, 12, 13, 13], [39, 37, 30, 34], [21, 30, -28, -40], [49, -12, 44, 47], [-18, 32], [5, -11, 0, 2, -21]]
Solution: | [23, -611, -43, 0, 117117, 1443, 21, 2303, 0, 1155] | 0 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.07157790660858154,
-0.24067991971969604,
-0.7557039260864258,
0.18007898330688477,
0.24081705510616302,
0.011615229770541191,
1.1541391611099243,
0.7515985369682312,
-0.5957488417625427,
-0.039979591965675354,
-1.1198354959487915,
-0.5416010618209839,
-0.056649960577487946,
-0.1726698577... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:The test is believed to have been a reaction to Israeli and American military exercises, which the Iranian government believed to be training for an attack on facilities related to the Iranian nuclear development programme.
Solution: | माना जाता है कि यह परीक्षण इज़राइल और अमेरिकी सैन्य अभ्यासों की प्रतिक्रिया है, जिसे ईरानी सरकार ईरानी परमाणु विकास कार्यक्रम से संबंधित सुविधाओं पर हमले के लिए प्रशिक्षण मान रही थी। | 8 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.21864616870880127,
0.47070494294166565,
0.463448703289032,
-0.37417566776275635,
0.0612386055290699,
-0.06510651111602783,
0.9961987733840942,
0.8761422634124756,
0.36049893498420715,
-0.5723364949226379,
-0.933281421661377,
0.1592281013727188,
-0.9622249603271484,
-0.18983429670333862,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
[EX Q]: Ma la risposta, ovviamente, era stata influenzata dal colore della pelle.
[EX A]: Respondían, como está claro, por el color de la piel.
[EX Q]: Tutto bene in un'esplosione teorica del telefono di un terrorista.
[EX A]: Todo esto está muy bien para la voladura teórica del teléfono de un terrorista.
[EX Q]: E 'molto contenta del suo ministro dell'energia che ha fornito elettricità per tutti — così contenta che ha anche votato per lei.
[EX A]: | Ella está muy contenta con su ministra de energía que les dio electricidad a todos, está contenta por haberla votado.
| 6 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5698747634887695,
0.6482036113739014,
-0.3962252736091614,
-0.4303906559944153,
-0.7936094999313354,
-1.165197491645813,
0.4179527759552002,
1.1709442138671875,
-0.11636793613433838,
-0.1799715757369995,
-0.5723228454589844,
0.9987459778785706,
-0.410528302192688,
0.22327634692192078,
... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Problem:A bathroom with orange post its everywhere, a bottle of liquor, book, shower and toilet.
Solution: | નારંગી સાથેનું બાથરૂમ તેના દરેક સ્થળે, દારૂની એક બોટલ, પુસ્તક, ફુવારો અને શૌચાલય. | 8 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.27491262555122375,
0.8612011075019836,
-0.10624151676893234,
-0.6355513334274292,
0.6117926239967346,
-0.9385195374488831,
-0.03495796024799347,
-0.44976547360420227,
0.0009191080462187529,
-0.5829991102218628,
0.07809554040431976,
-0.11278174817562103,
-0.9581111669540405,
0.06220577657... |
Teacher: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Head: PersonX gives PersonY the number<sep>Tail: Adventurous
Solution: Yes
Reason: This is a good example. As a result of the Head, PersonX will be seen as Adventurous.
Now, solve this instance: Head: PersonX holds out PersonY's hands<sep>Tail: sharing
Student: | Yes | 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.6568454504013062,
-0.24795277416706085,
0.27329009771347046,
-0.06647210568189621,
-0.29079699516296387,
-1.1545424461364746,
1.0208840370178223,
0.7877557873725891,
-0.7870407104492188,
-0.24372345209121704,
-0.15903490781784058,
-0.4981403350830078,
-0.845925509929657,
-0.1614308059215... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: bed<sep>Tail: mattress
Solution: Yes
Explanation: This is a good example. The Head is made of the Tail.
Problem: Head: humanity<sep>Tail: person
Solution: | Yes | 4 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.4788331985473633,
0.3719925880432129,
0.15847396850585938,
-0.016094276681542397,
-0.5974247455596924,
-1.0765489339828491,
1.1170486211776733,
0.626967191696167,
-0.7834663391113281,
-0.35791313648223877,
-0.4925154745578766,
-0.310932457447052,
-0.473889023065567,
0.24356570839881897,
... |
Teacher:In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Teacher: Now, understand the problem? Solve this instance: Question: They are secondary interoceptor mechanoreceptors:
Options: <1> The corpuscle of Pacini and Ruffini. <2> The taste buds. <3> The receptors of the vestibular apparatus. <4> The hair cells of the organ of Corti. <5> The muscle bones.
Student: | 3 | 6 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
-0.30139321088790894,
0.2621249556541443,
-0.13331961631774902,
0.09354261308908463,
-0.003085778094828129,
-0.0664343386888504,
0.7265312671661377,
0.3344699740409851,
0.17758816480636597,
-0.6437287330627441,
-0.31461572647094727,
-0.7495999336242676,
0.09383908659219742,
-0.032045494765... |
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
and { greater { hop { filter_eq { all_rows ; date ; 19 november 1997 } ; score } ; hop { filter_eq { all_rows ; date ; 19 november 2003 } ; score } } ; and { eq { hop { filter_eq { all_rows ; date ; 19 november 1997 } ; score } ; 1 - 0 } ; eq { hop { filter_eq { all_rows ; date ; 19 november 2003 } ; score } ; 0 - 3 } } } = true
A: | select the rows whose date record fuzzily matches to 19 november 1997 . take the score record of this row . select the rows whose date record fuzzily matches to 19 november 2003 . take the score record of this row . the first record is greater than the second record . the score record of the first row is 1 0 . the score record of the second row is 0 3 . | 7 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.20791329443454742,
-0.17904770374298096,
-0.37972292304039,
0.047817155718803406,
0.07450757920742035,
-0.6790734529495239,
0.42634475231170654,
0.5912559032440186,
0.019742609933018684,
-0.12366265058517456,
-0.5196409225463867,
0.24272340536117554,
0.11566954106092453,
0.56245088577270... |
TASK DEFINITION: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
PROBLEM: When didn't violence start in war no sorry when did it start?
SOLUTION: When did violence start in war?
PROBLEM: How is no why is the need for established sorry acceptance of punishment needed?
SOLUTION: Why is the need for acceptance of punishment needed?
PROBLEM: Who lives longer on average than Japanese no Greeks and New Zealanders?
SOLUTION: | Who lives longer on average than Greeks and New Zealanders?
| 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
0.0962514579296112,
0.7591190338134766,
0.01448279619216919,
-0.43451249599456787,
-0.22881203889846802,
-0.1237206906080246,
1.1940194368362427,
0.40987199544906616,
0.6412281394004822,
0.06229441985487938,
0.13273650407791138,
-0.5897912383079529,
-1.4447839260101318,
0.24499258399009705... |
Detailed Instructions: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
See one example below:
Problem: Passage: In 1763, Spain traded Florida to the Kingdom of Great Britain for control of Havana, Cuba, which had been captured by the British during the Seven Years' War. It was part of a large expansion of British territory following the country's victory in the Seven Years' War. Almost the entire Spanish population left, taking along most of the remaining indigenous population to Cuba. The British soon constructed the King's Road connecting St. Augustine to Georgia. The road crossed the St. Johns River at a narrow point, which the Seminole called Wacca Pilatka and the British named "Cow Ford", both names ostensibly reflecting the fact that cattle were brought across the river there.
Solution: Who owned Cuba after the Eight Years War?
Explanation: This question appears to be relevant to the passage as both involves words such as 'Cuba' and 'War' which also exist in the passage. The passage mentions that "after the war, almost the entire Spanish population left, taking along most of the remaining indigenous population to Cuba". This information is not sufficient to conclude that which country owned cuba.
Problem: Passage: More recently, films such as Das Boot (1981), The Never Ending Story (1984) Run Lola Run (1998), Das Experiment (2001), Good Bye Lenin! (2003), Gegen die Wand (Head-on) (2004) and Der Untergang (Downfall) (2004) have enjoyed international success. In 2002 the Academy Award for Best Foreign Language Film went to Caroline Link's Nowhere in Africa, in 2007 to Florian Henckel von Donnersmarck's The Lives of Others. The Berlin International Film Festival, held yearly since 1951, is one of the world's foremost film and cinema festivals.
Solution: | What did Carolina Link get an Acadamy award for in the 20th century? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.5731238126754761,
0.8295297622680664,
-0.7965388298034668,
0.07718044519424438,
-0.18990182876586914,
-0.1260920912027359,
0.7717698216438293,
0.9850785732269287,
-0.08338585495948792,
0.19226254522800446,
-0.45707401633262634,
0.3096187710762024,
-1.012265682220459,
0.27208057045936584,... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Kan man inte direkt klassificera torven som en förnybar, icke-fossil energikälla måste man särskilt med tanke på miljöbeskattningen definiera en egen klass för den.
If peat cannot be classified directly as a renewable, non-fossil energy source, it must form its own class, especially as far as the issue of environmental taxation is concerned.
Jag är säker på att vi kommer att få fler konflikter med t.ex. USA.
I am certain that we are going to have more conflicts, for example with the United States.
De statliga stöden får inte endast negativa bieffekter då de främjar en jakt på subventioner genom omlokaliseringar från ett land till ett annat, vilket medges i Jonckheerbetänkandet; de är också oacceptabla eftersom de innebär att offentliga medel används för att berika en handfull privata aktieägare.
| State aid is not only counterproductive because, as the Jonckheer report acknowledges, it gives rise to subsidy hunting with firms relocating from one country to another, but it is unacceptable because it allocates public monies to the enrichment of a handful of private shareholders.
| 0 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.614126443862915,
0.9336103796958923,
0.21619868278503418,
-0.5415852069854736,
0.14851707220077515,
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0.48962852358818054,
1.3571834564208984,
0.08846741914749146,
0.26969248056411743,
-0.07479214668273926,
-0.12661223113536835,
-0.47978806495666504,
-0.54798805713653... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Q: before section 362(b)(3) can come into play. An act that both creates and perfects a lien postpetition cannot so qualify. See, e.g., Louisville & Jefferson County Metro. Sewer Dist. v. Excel Eng’g, Inc. (In re Excel Eng’g, Inc.), 224 B.R. 582, 589-90 (Bankr.W.D.Ky.1998) (refusing to recognize validity of postpetition creation and perfection of mechanic’s hen because creditor had no lien at the time debtor filed for bankruptcy); Water-vliet Paper Co. v. City of Watervliet (In re Shoreham Paper Co.), 117 B.R. 274, 281-83 (Bankr.W.D.Mich.1990) (finding postpe-tition creation and perfection of property tax lien barred by automatic stay because no prepetition interest existed); Equitable Life Assur. Soc’y v. Ballentine Bros. (In re Ballentine Bros.), 86 B.R. 198, 201 (Bankr. D.Neb.1988) (<HOLDING>); North Side Lumber Co. v. Indus. Indem. Co.
Holding statements: (A) holding that the automatic stay barred a suit for injunctive relief to prevent postpetition antitrust violations (B) holding that the automatic stay would be modified so that a credit union could seek payment of postpetition interest from the codebtor (C) holding judgment in violation of automatic stay void (D) holding that creditors failure to voluntarily turn over property lawfully seized prepetition constituted violation of automatic stay (E) holding that creation of a postpetition tax levy based on a prepetition assessment was barred by the automatic stay
A: holding that the automatic stay barred a suit for injunctive relief to prevent postpetition antitrust violations
****
Q: quantity function as elements by increasing the maximum penalty a defendant may receive, are they elements of an aggravated offense or are they sentencing factors with heightened due process requirements? See id. at 573, 575 (Hug, J., concurring) (disagreeing with the majority’s apparent conclusion that the penalty provisions of § 841(b) are not elements of the offense). The district court correctly interpreted Buckland as holding that drug type and quantity are not elements of the offense, but rather are material facts that must be submitted to the jury and proved beyond a reasonable doubt. The Buckland opinion emphasized that the relevant inquiry is not whether a penalty provision is an element, but rather whether it exposes the defendant to a longer sentence than woul (9th Cir.2002) (<HOLDING>); United States v. Minore, 292 F.3d 1109,
Holding statements: (A) recognizing that sentencing judges have the discretion to reject any sentencing guideline but no judge is required to do so (B) holding jury is entitled to accept the states version of the facts and reject appellants version or reject any of the witnesses testimony (C) holding that biased on buckland we must reject valensias contention that the sentencing provisions of 841 create separate crimes (D) holding that under the crimes code conspiracy and the completed substantive offense are separate crimes (E) holding the crimes merge where the jury was not asked to determine whether two assaults occurredeventhough the evidence may have been sufficient to support separate crimes
A: recognizing that sentencing judges have the discretion to reject any sentencing guideline but no judge is required to do so
****
Q: entity ....” 11 U.S.C. § 523(a)(6) (2003). 2 . Mass. Gen. Laws ch. 152, § 24 (2003). 3 . In Count III of the State Complaint, Gomes named his employer, Ever Ready Trucking, Inc., and two of its principals as co-defendants, liable to Gomes for wrongful termination. That Count and those defendants were subsequently dismissed from the State Court action. 4 . Mass. General Laws ch. 152, § 24 acts as a waiver under the Worker's Compensation Act of any covered worker’s common law rights against his/her employer or co-workers for injuries sustained in furtherance of the employer's interests or in the course of employment, so-called compensable injuries. Doe v. Purity Supreme, Inc., 422 Mass. 563, 664 N.E.2d 815 (1996); cf. O’Connell v. Chasdi, 400 Mass. 686, 690, 511 N.E.2d 349, 351 (1987) (<HOLDING>). 5 . Gomes never filed a claim under the Act
Holding statements: (A) holding that where a coworker commits an intentional tort not related to the interests of the employer the policies behind the act would not be served by immunizing the coemployee (B) recognizing a tort for the intentional spoliation of evidence (C) holding intentional assault by coworker to be outside the course and scope of employment (D) holding that an employer who commits an intentional tort against his employee cannot claim that the act was accidental so that workers compensation is the employees exclusive remedy (E) holding that extending immunity to contractors under the act would not further the purpose behind the act
A: | recognizing a tort for the intentional spoliation of evidence
****
| 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.18038763105869293,
0.34588661789894104,
-0.22119355201721191,
0.09788526594638824,
0.4516991078853607,
-0.7144143581390381,
0.38722115755081177,
1.1570887565612793,
-0.4356430172920227,
-0.07225935161113739,
-0.6201134324073792,
0.4940229654312134,
0.3652225434780121,
-0.0436148792505264... |
Instructions: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Input: Shall we head back to mine?
Output: | Y has just travelled from a different city to meet X. | 3 | NIv2 | task567_circa_text_generation | zs_opt | [
0.023694876581430435,
1.1029986143112183,
-0.5916750431060791,
0.4110299348831177,
-0.16411450505256653,
-0.07867405563592911,
-0.2902093529701233,
0.4324297606945038,
0.40207648277282715,
-0.1731971800327301,
-1.0572891235351562,
0.25563690066337585,
-0.6662260293960571,
0.470152467489242... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: Consider Input: English: The proposal for an amendment to this regulation on the application of the Protocol on the excessive deficit procedure, annexed to the Treaty of Maastricht, raises fundamental issues concerning the switch to the 1995 European system of accounts, which, as you know, replaced the previous System of Accounts adopted in 1979, and in particular the emergence of new financial product categories, consistency in the calculation of the ratios of government deficit to gross domestic product on the basis of ESA 95 and, finally, recognising the importance of calculating interest expenditure and the consistency of the latter with this new methodology.
Spanish:La propuesta de modificación de este Reglamento, relativo a la aplicación del Protocolo sobre el procedimiento aplicable en caso de déficit excesivo, anejo al Tratado constitutivo de la Comunidad Europea, plantea una cuestión fundamentada con relación a la adaptación al Sistema Europeo de Cuentas SEC 95 que, como sabe, sustituye al anterior Sistema de Cuentas integrado en el 79 y, sobre todo, una cuestión referente a la aparición de nuevas categorías de productos financieros, a la coherencia en el cálculo de proporciones entre el déficit público y el producto interior bruto a la luz de este Sistema Europeo de Cuentas del 95 y, por último, a la toma en consideración de la importancia del cálculo de los gastos de intereses y a su coherencia de acuerdo con esta nueva metodología.
Output: Yes
Input: Consider Input: English: We pray that these are the last victims in a process which, as you said, Madam President, has seen much barbarism. We pray that a way forward can be found which will allow the Basque people to live together in peace.
Spanish:La primera es una vieja regla de toda fiesta: cuanto más tiempo dure, mejor se lo pasarán los invitados esto no vale para el Pleno.
Output: No
Input: Consider Input: English: But the 200 grammes that make up the difference will be seized upon by many private and therefore profitable bodies.
Spanish:Señor Presidente, me parece muy bien que en el programa portugués se dé tanta relevancia a la lucha contra el desempleo y que se tenga como meta su eliminación.
| Output: No
| 2 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.4173591732978821,
0.4526805281639099,
0.20376789569854736,
0.20908254384994507,
0.4243719279766083,
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0.87734454870224,
0.6803748607635498,
0.22325973212718964,
0.4053989052772522,
0.1375339925289154,
0.706539511680603,
-0.7108826637268066,
0.2409323900938034,
-0.6407... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
[EX Q]: Question: Who did Wendi Richter beat to become AWA Women's Champion? Passage:The team's first feud was against The Midnight Rockers, whom they defeated for the AWA World Tag Team Championship on March 19, 1988. During their year long title reign, Badd Company would feud heavily with Chavo and Mando Guerrero and the team known as the Top Guns (Ricky Rice and Derrick Dukes). They teamed with Madusa Miceli to face the team of the Top Guns and Wendi Richter at the first AWA PPV, SuperClash III. Both Badd Company's Tag Team Title and Wendi Richter's AWA World Women's Championship were on the line, but since Richter pinned Miceli, Badd Company remained the champions. Diamond and Tanaka's reign ended on March 25, 1989 as they lost to "the Olympians" (Brad Rheingans and Ken Patera). Shortly after losing their titles they split from Page, and had a short feud against each other before wrestling in singles competition until early 1990. Just before moving to the WWF, Diamond teamed with The Trooper Del Wilkes for a short run at the AWA Tag Team Titles against The Destruction Crew (Mike Enos and Wayne Bloom). Diamond and Trooper actually defeated The Destruction Crew, but were not awarded the titles when it was determined that Diamond pinned the wrong person.
[EX A]: Both Badd Company's Tag Team Title and Wendi Richter's AWA World Women's Championship were on the line, but since Richter pinned Miceli, Badd Company remained the champions
[EX Q]: Question: How many years ago was the Madikeri the Omkareshwar Shiva temple constructed? Passage:In many Hindu temples, especially in Central India like Maharashtra and South India like Kerala and Karnataka you can find idols of Brahm Rakshas in outer walls and are generally offered pooja, respects and an oil lamp is lit on regular basis in front of their idols. There are many temples, where they are also worshiped as demi-gods, like in Malliyor Temple of Kottayam District of Kerala, it is customary to take permission from Brahma Rakshas before commencing the construction activities. Further, at Thirunakkara Shiva Temple also in Kottayam in Kerala, there is a separate temple for Brahm Rakshasa. There is an interesting story about why the Brahma Rakshas temple was built here. One person called Moose was a great friend of the king. The king was not known for his beauty but his friend Moose, was very handsome. The queen fell in love with this friend knowing which the king ordered his servants to kill Moose. Instead of killing him the King’s servants killed the junior priest of the temple (keezh Santhi). The wife of the priest became a Brahma Rakshas and started troubling every body. So the king built a temple for her. For a long time afterward women did not prefer to enter this temple. Further, it is said that at Madikeri the Omkareshwar Shiva temple was built by king to ward of evil caused by Brahm-Rakshasa. At Shringeri, the Malayala Brahma Temple is of a Brahma-Raskshas. Similarly, there is separate temple for Brahma Raksha within complex of famous Kandiyoor Shiva Temple near Mavelikkara.In Njarakkal in Kerala there is an 800-year-old Bhagavathi temple where the other temples include Shiva, Nagaraja, and Sree Brahmarakshas.
[EX A]: Further, it is said that at Madikeri the Omkareshwar Shiva temple was built by king to ward of evil caused by Brahm-Rakshasa
[EX Q]: Question: Is there a difference in the age of the horses entered to compete in the Royal Lodge Stakes compared to the Sussex Stakes? Passage:Cecil's success in 2011 was partly due to his training of the Khalid Abdullah-owned Frankel. In the 2010 season Frankel won the Royal Lodge Stakes and Group One Dewhurst Stakes. The following year he continued unbeaten, winning the Greenham Stakes, the 2,000 Guineas, the St. James's Palace Stakes at Royal Ascot, the Sussex Stakes and the Queen Elizabeth II Stakes. His six length victory in the 2,000 Guineas was described as "one of the greatest displays on a British racecourse". After his win in the Sussex Stakes Cecil himself described Frankel as "the best horse I've ever seen". Timeform and the International Federation of Horseracing Authorities rated him the best horse in the world. In his four-year-old season Frankel won the Group One Lockinge Stakes at Newbury before an eleven length victory in the Queen Anne Stakes at Royal Ascot, described in one national newspaper as "possibly the best single performance by any horse, on any track, since three Arabian stallions were imported into Britain to found the thoroughbred breed in the early years of the 18th century". Timeform raised their rating to 147, making Frankel the highest rated horse in their history. He won a second Sussex Stakes, at odds of 1–20, and then stepped up in distance to win by seven lengths the Juddmonte International Stakes at York over 10 furlongs. In October 2012 Frankel won the Champion Stakes at Ascot to finish his career unbeaten. "He's the best I've ever had, the best I've ever seen", Cecil told the BBC after the race, "I'd be very surprised if there's ever been a better."
[EX A]: | In the 2010 season Frankel won the Royal Lodge Stakes and Group One Dewhurst Stakes
| 6 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.3114548325538635,
0.7268933057785034,
-0.7023009061813354,
-0.22375038266181946,
-0.057270146906375885,
-0.48821163177490234,
0.38222283124923706,
0.7891833782196045,
-0.458545982837677,
0.18524673581123352,
-0.10582403838634491,
0.8743466138839722,
-0.39776262640953064,
0.20046365261077... |
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 statement written in Kannada. 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: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ. ಬಾಬ್ ಎಲ್ ಮಾನ್ಡೆಬ್ ಮತ್ತು ಆಡೆನ್ ಕೊಲ್ಲಿ ಮೂಲಕ ದಕ್ಷಿಣದಲ್ಲಿ ಸಂಪರ್ಕವನ್ನು ಪಡೆದಿದೆ. ಉತ್ತರದಲ್ಲಿ ಸಿನಾಯ್ ಪರ್ಯಾಯದ್ವೀಪ ಅಖಾಬಾ ಕೊಲ್ಲಿ ಮತ್ತು ಸುಯೋಜ್ ಕೊಲ್ಲಿ ಸುಯೋಜ್ ಕಾಲುವೆಗೆ ಸೇರುತ್ತದೆ). ಕೆಂಪು ಸಮುದ್ರವು ಜಾಗತಿಕವಾಗಿ 200 ಪರಿಸರ ಪ್ರದೇಶವಾಗಿದೆ.
Option A: ಆಫ್ರಿಕಾವನ್ನು
Option B: ಮರುಭೂಮಿ
Option C: ಆಫ್ರಿಕಾ
Option D: ಏಷ್ಯಾ
Solution: ಆಫ್ರಿಕಾ
Why? As the Red sea is located near Africa the most appropriate word to replace the <MASK> token is ಆಫ್ರಿಕಾ .
New input: Statement: ಚಪಾತಿಯು ಭಾರತೀಯ ಉಪಖಂಡದ ಒಂದು ಬಗೆಯ ಉಬ್ಬಿರದ ಚಪ್ಪಟೆ ರೊಟ್ಟಿ . ಇದರ ರೂಪಾಂತರಗಳು ತುರ್ಕ್ಮೇನಿಸ್ತಾನ್, ಯೂಗ್ಯಾಂಡಾ, ಕೀನ್ಯಾ ಮತ್ತು ಟಾಂಜಾನೀಯಾವನ್ನು ಒಳಗೊಂಡಂತೆ ಪೂರ್ವ ಆಫ್ರಿಕಾದ ರಾಷ್ಟ್ರಗಳು, ಮತ್ತು ಇತರ ರಾಷ್ಟ್ರಗಳ ಪೈಕಿ <MASK>ವೂ ಸೇರಿದಂತೆ ಪಶ್ಚಿಮ ಆಫ್ರಿಕಾದಲ್ಲಿ ಕಾಣುತ್ತವೆ. ಮುಘಲ್ ಸಾಮ್ರಾಟ ಅಕ್ಬರ್ನ ವಜೀರ್ನಾಗಿದ್ದ ಅಬುಲ್-ಫಜಲ್ ಇಬ್ನ್ ಮುಬಾರಕ್ ನಿಂದ ಬರೆಯಲ್ಪಟ್ಟ ಒಂದು ೧೬ನೆಯ ಶತಮಾನದ ದಸ್ತಾವೇಜಾದ ಐನ್-ಇ-ಅಕ್ಬರಿಯಲ್ಲಿ ಚಪಾತಿಯ ಬಗ್ಗೆ ಟಿಪ್ಪಣಿ ಮಾಡಲಾಗಿದೆ. ಇದು ಭಾರತದ ಉಪಖಂಡದಿಂದ ಹುಟ್ಟಿದ ಹುಳಿಯಿಲ್ಲದ ಫ್ಲಾಟ್ಬ್ರೆಡ್ ಎಂದೂ ಕರೆಯಲಾಗುತ್ತದೆ ಮತ್ತು ಇದನ್ನು ಭಾರತ, ನೇಪಾಳ, ಬಾಂಗ್ಲಾದೇಶ, ಪಾಕಿಸ್ತಾನ, ಶ್ರೀಲಂಕಾ, ಪೂರ್ವ ಆಫ್ರಿಕಾ ಮತ್ತು ಕೆರಿಬಿಯನ್ ನಲ್ಲೂ ಚಪಾತಿಯು ಪ್ರಧಾನ ಖಾದ್ಯವಾಗಿದೆ . ಚಪಾತಿಗಳನ್ನು ಸಂಪೂರ್ಣ ಗೋಧಿ ಹಿಟ್ಟಿನಿಂದ ತಯಾರಿಸಲಾಗುತ್ತದೆ, ಇದನ್ನು ನೀರಿನೊಂದಿಗೆ ಹಿಟ್ಟಿನಲ್ಲಿ ಬೆರೆಸಿ , ಖಾದ್ಯ ಎಣ್ಣೆ ಮತ್ತು ಉಪ್ಪನ್ನು ಸೇರಿಸಿ ಮಿಶ್ರಣವನ್ನು ಪಾತ್ರೆಯಲ್ಲಿ ತಯಾರಿಸಿ ತವಾ (ಫ್ಲಾಟ್ ಬಾಣಲೆ) ಮೇಲೆ ಬೇಯಿಸಲಾಗುತ್ತದೆ.
Option A: ಭಾರತ
Option B: ಘಾನಾ
Option C: ಶ್ರೀಲಂಕಾ
Option D: ಪಾಕಿಸ್ತಾನ
Solution: | ಘಾನಾ | 0 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.2630707621574402,
0.1145872175693512,
-0.6431755423545837,
-0.5353965163230896,
-0.24391521513462067,
-0.24211499094963074,
0.22844260931015015,
0.728157639503479,
-0.08195826411247253,
-0.14755338430404663,
0.2671384811401367,
-0.4099545478820801,
-0.15614691376686096,
0.244233489036560... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Q: Which popstar teamed up with Ludacris in 2007 to release Glamorous?
A: | music | 4 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.3085097670555115,
0.7076278328895569,
-0.023183293640613556,
-0.2218434065580368,
0.40984082221984863,
0.003889171639457345,
-0.0909881740808487,
0.2636955976486206,
-0.1459438055753708,
0.009607156738638878,
-0.17441925406455994,
-0.03315877914428711,
-0.17186838388442993,
-0.436512410... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
One example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Solution is here: Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Explanation: The translation is precise, fluent and formal
Now, solve this: సైన్ వస్తున్న కొన్ని వాతావరణం కావచ్చు?
Solution: | Now, your passenger is not to have any whiskey, do you understand? | 6 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.39523476362228394,
1.1313345432281494,
0.35911279916763306,
0.1038515567779541,
0.002706531435251236,
-1.5586521625518799,
-0.1821899116039276,
0.08111285418272018,
-0.4314235746860504,
-0.39630967378616333,
-0.5558521747589111,
0.010184058919548988,
-0.8624835014343262,
-0.079378865659... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Erstens müssen Länder mit Leistungsbilanzüberschüssen wie Deutschland, Japan und China erkennen, dass ihr eigenes Wachstum (und das der anderen) von einer Reduzierung des globalen Ungleichgewichts von Ersparnissen und Investitionen abhängig ist, was dazu führen wird, Defizite der Zahlungsbilanz anderswo zu verringern.
A: | Primero, los países con superávits de cuenta corriente como Alemania, Japón y China deben reconocer que su propio crecimiento (y el de los demás) depende de reducir el desequilibrio global entre ahorro e inversión, lo que resultará en un achicamiento de los déficits externos en otras partes. | 4 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.9184775352478027,
0.7357836365699768,
-0.35385629534721375,
-0.4826190769672394,
0.06715622544288635,
0.5015681982040405,
0.7927781343460083,
0.7381905913352966,
0.08333846926689148,
-0.22586239874362946,
-0.24051128327846527,
0.2346225380897522,
-0.6846330761909485,
0.01587601192295551... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 何名が飛行機に搭乗していたかは不明であるが、怪我人は報告されていない。
A: | ບໍ່ມີໃຜຮູ້ວ່າມີຈັກຄົນທີ່ຢູ່ໃນເຮືອບິນລຳດັ່ງກ່າວແຕ່ມີລາຍງານວ່າບໍ່ມີຜູ້ໄດ້ຮັບບາດເຈັບ. | 9 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.23901575803756714,
0.5236128568649292,
-0.4940592050552368,
-1.0859431028366089,
-0.09615178406238556,
-0.47416454553604126,
0.8927391767501831,
0.1992093026638031,
-0.25403985381126404,
-0.37732362747192383,
-0.49740293622016907,
0.18223249912261963,
-0.9921162128448486,
0.6322678327560... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
OBJECTIVE To detect clustered regularly interspaced short palindromic repeats (CRISPR) in Shigella, and to analyze its relationship to drug resistance.
METHODS Four pairs of primers were used for the detection of convincing CRISPR structures CRISPR-S2 and CRISPR-S4, questionable CRISPR structures CRISPR-S1 and CRISPR-S3 in 60 Shigella strains. All primers were designed using sequences in CRISPR database. CRISPR Finder was used to analyze CRISPR and susceptibilities of Shigella strains were tested by agar diffusion method. Furthermore, we analyzed the relationship between drug resistance and CRISPR-S4.
RESULTS The positive rate of convincing CRISPR structures was 95%. The four CRISPR loci formed 12 spectral patterns (A-L), all of which contained convincing CRISPR structures except type K. We found one new repeat and 12 new spacers. The multi-drug resistance rate was 53. 33% . We found no significant difference between CRISPR-S4 and drug resistant. However, the repeat sequence of CRISPR-S4 in multi- or TE-resistance strains was mainly R4.1 with AC deletions in the 3' end, and the spacer sequences of CRISPR-S4 in multi-drug resistance strains were mainly Sp5.1, Sp6.1 and Sp7.
CONCLUSION CRISPR was common in Shigella. Variations df repeat sequences and diversities of spacer sequences might be related to drug resistance in Shigella.
Output: | [Detection of CRISPR and its relationship to drug resistance in Shigella]. | 1 | NIv2 | task1586_scifact_title_generation | zs_opt | [
-0.45603829622268677,
0.7398736476898193,
-0.35803884267807007,
0.011555095203220844,
-0.4590512216091156,
-0.5442169904708862,
0.35523438453674316,
0.45056062936782837,
0.14008431136608124,
0.3168060779571533,
-0.41014108061790466,
0.5780119299888611,
-0.30202871561050415,
0.1901457309722... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Question: is it a positive review?
A: yes
Rationale: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.
Q: Review: I actually didn't start watching the show until it came on FX. I was bored and had nothing to watch and saw that the show's reruns were premiering so i decided to watch it. I was so upset that I had not watched the show when it first aired on t.v. I loved the show so much!Finally a show for everyone to enjoy. I remember Full House and Family Matters and Step by Step and they were okay shows but just not funny enough. They would make dumb jokes and laugh over things that were just plain stupid, but not That 70s Show. That 70s Show was hilarious, smart and so real. I think it was the best show ever made and I'm very sorry that it ended. Although I love this show, I do think it should have ended on the seventh season when Eric and Kelso leave. The last season was just not right, Eric was the main character and the show should have ended when his character leaves. I still love this show and I hope TV starts making more shows like this one. Question: is it a negative review?
A: | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.23592650890350342,
-0.06699711084365845,
-0.030649423599243164,
0.34917521476745605,
0.4632716178894043,
-0.7300950288772583,
0.8894225358963013,
0.9530272483825684,
0.023242464289069176,
-0.3046453297138214,
-0.19242845475673676,
0.02377166412770748,
-0.9595545530319214,
-0.04812685400... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Let me give you an example: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant land. It is and imposed on the Possessor (not the custodian of property as per 1978, 44th amendment of constitution). It resembles the US-type wealth tax and differs from the excise-type UK rate. The tax power is vested in the states and is delegated to local bodies, specifying the valuation method, rate band, and collection procedures. The tax base is the annual rental value (ARV) or area-based rating. Owner-occupied and other properties not producing rent are assessed on cost and then converted into ARV by applying a percentage of cost, usually four percent. Vacant land is generally exempt. Central government properties are exempt. Instead a 'service charge' is permissible under executive order. Properties of foreign missions also enjoy tax exemption without requiring reciprocity. The tax is usually accompanied by service taxes, e.g., water tax, drainage tax, conservancy (sanitation) tax, lighting tax, all using the same tax base. The rate structure is flat on rural (panchayat) properties, but in the urban (municipal) areas it is mildly progressive with about 80% of assessments falling in the first two brackets.
The answer to this example can be: is house tax and property tax are same
Here is why: The question generated asks whether the house tax and property tax are the same and can be answered by reading the passage. Additionally, it has a binary answer and hence the generated question is correct.
OK. solve this:
Marseille (TV series) -- Marseille is a French drama web television series created by Dan Franck starring Gérard Depardieu. The series is the first French language original production for Netflix, which ordered the project to series on July 10, 2015. The eight-episode first season premiered worldwide on Netflix on May 5, 2016. A second season was ordered on June 6, 2016. Production for the second season commenced on April 18, 2017. The second season debuted in February 2018. Netflix cancelled the show after 2 seasons.
Answer: | will there be a season 3 of marseilles | 8 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.5466551184654236,
-0.009758190251886845,
-0.04466914013028145,
0.044026292860507965,
1.2992523908615112,
-0.31940528750419617,
1.3220102787017822,
1.453519344329834,
-0.24061745405197144,
0.4792957901954651,
-0.6227720975875854,
0.5697177648544312,
-0.785987377166748,
-0.1265711188316345... |
instruction:
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
question:
Is OTHER wrong in the post ? POST : First Y'all need a little bit of back story. My mother and father got divorced when I was 12 and my younger sister was 7. They were on good terms after the divorce and still considered each other friends until this arose. My dad is Indian but most of my dad's family except for my dad lives in the US.
Well let me start on the story, after the divorce my sister and I lived with my mom until i was in the 9th grade. I did my 8th grade in Arizona and then moved to Oklahoma for my 9th grade year to be closer to my mom's family. We didn't have any real arguments until the end of 9th grade. The argument actually started out of nowhere, let me explain.My mom is quite into running as in she runs about 3-8 miles everyday and I can run but I don't like to(I have run a 5k in 35 minutes)((now I understand that isn't fast but my point is that I am not a couch potato)). One day she "invited"(forced me to go) to the track when I was sick and I said I couldn't run because I had the flu and she said that was ok and I went with my flipflops on but after I got out of the car she said I had to run 10 laps(2.5 miles or 4 km) and I said that I literally couldn't because I was wearing flipflops. She became furious and she told me to walk home if I couldn't run 10 laps and home was about a mile and a half away so I decided to walk home. After I got home I was tired , so I laid on my bed and was looking at memes until my mom came home. after a few hours of giving me the silent treatment, she told me that I was "The laziest person she had ever met" and she told me I have no work ethic and that with my attitude I would not go very far in life. I explained to her that I was sick and she said that I was making excuses. I told her that sh should be more empathetic and she became angry and after a few more days of giving my the silent treatment, she told me that she had decided to send me to India to live with my Dad and give up custody to him while my sister would live with her. I did have a couple of arguments after that about how this would make going to a good college difficult and would hold me back education-wise because Indian Schools aren't particularly known for great academic standards. Well I went to India and I had no summer break (Indian school starts on the 1st of June). After the first summative exam(Indian Midterms), my Dad's side of the family(including me) all had a talk with me about my educational future. We came to the conclusion that it would be better for me if I lived with my Great-Aunt who lives in Manhattan because the education system there is better than Oklahoma or India. They decided that I should tell my mom over a video chat about the idea, so I did and she flipped out. She said that I was trying to undermine her authority and that if I set foot in the US that she will put me in Catholic school dorms. She said that I will not live in The US until I am done with college and when I asked her why that is she told me that she never wants to study in an American school unless it is Catholic. After she said this I basically told her that the family decided what is best and we will go by that. She said that I had to listen to her because she is my mother and then I mentioned how she gave up custody and I swear I have never seen anyone so angry in my entire life, her face flushed red and she started screaming about how I was a horrible son and I was betraying her and then she hung up. This whole thing is causing a lot of friction between me and my mother. Did I do anything wrong here or is my mother acting irrationally?
answer:
yes
question:
Is AUTHOR wrong in the post ? POST : Hi everyone.
Before I start, let me just say that I am not trying to be homophobic/transphobic. I am incredibly new to this and it's very difficult for me to keep the hang of it. If i do make a mistake, please correct me. I want to learn. i don't know if my age has to do with anything but I am a sophomore in high school, I am 16.
So my current girlfriend came out to me as transgender the other day. She is now a boy and now my boyfriend. I am sorry if I use the wrong pronoun by mistake, I will try and read over and try and find if I make a mistake. Anyways we've been together for a little under a year now and I love him a lot. this is a lot for me to handle but I really support his transition and i am proud of him for being so brave to tell me. I love him literally with all my heart. if I could marry him right now I would, it doesn't matter that he is now a boy. But last night I actually had a weird thought: does this make me gay? because he is a boy and i am dating him.
So I brought this up with him today and he said yes I am gay. I was very confused because I have never liked guys before, and I still don't. I feel like this is a special case? Maybe it's not. I don't want to make him feel like he is any less of a boy just because he was born a girl, but I also don't really feel... gay. So he brought up the term bisexual, and I said no that isn't it either. I told him that I think I am straight, but I love him and he's an exception. He got very mad at me and wouldn't talk to me even after school. I've tried texting him but he won't respond, which is weird because almost every night we have really long text conversations.
Should I try and be gay for him? I don't think I could ever date a boy (other than him) and I am not sexually into guys like that. I am fine with gay people I just don't think I am one, or even bisexual. I really only have ever liked girls except for this one situation.
I don't want to leave him because I love him, but I don't want to identify as gay. He wants me to identify as gay, but I am straight, I think. I feel like he is an exception.
Am I being an asshole for not identifying as gay? Is it transphobic? I am sorry if it is.
&#x200B;
Thanks for reading, I appreciate it.
answer:
no
question:
Is NOBODY wrong in the post ? POST : throwaway in case she sees my account.
My sister (19F) and I (22F) both live with our parents who are currently on a two-month vacation. She studies full-time and works two-part time jobs, and I work full-time. Recently she’s become so lazy. Her room is an absolute mess, she only sweeps/vacuums when I tell her to, and when she leaves the house she doesn’t empty out the rubbish like she’s supposed to. I work a full-time job, so it’s hard for me to do absolutely everything. I sweep and do dishes when I can, but I really need her to pull her weight. A few weeks ago my sister had a mental breakdown and literally wouldn’t stop crying for three days. She wouldn’t talk to anyone in the family. I tried confronting her about it but she wouldn’t tell me anything so I told her to go to a doctor. She has to take control of her own health. Well, I don’t believe she ever visited the doctor. She stopped crying but she’s still annoyingly lazy. Last night I had about 10 work friends over for pizza and drinks. This morning she had to leave at around 7am. In the morning I told her to clean all the rubbish and empty the kitchen bins before she left the house. When I woke up today I noticed that she put the wrong type of garbage bag in the bin. She clearly couldn’t be bothered to find the right ones. So when I came home tonight I confronted her about her behaviour and told her she was become lazier by the day, and that she needed to get a grip. And then she started crying again! For no good reason. She needs to understand how to take constructive criticism in my opinion. However, when I was telling my boyfriend all of this, he told me that I was being way too harsh considering everything that went down. But in my defence I believe that her mental health and laziness are two separate things, and that she needs to pull her weight. I told her that she shouldn’t work or study if she isn’t capable of doing simple household chores. AITA?
answer:
| no
| 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.5747734904289246,
-0.22065706551074982,
-0.4269472360610962,
0.3222356140613556,
0.13319683074951172,
0.19898448884487152,
0.2324836403131485,
1.1468994617462158,
-0.0653717964887619,
-0.49978843331336975,
-0.02977018430829048,
0.7578696608543396,
-0.41537201404571533,
0.1013215705752372... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
[EX Q]: I remember one particularly low moment.
[EX A]: Lembro-me de um momento em que eu estava particularmente em baixo.
[EX Q]: So they have all of the information embedded in them of what was constructed.
[EX A]: Têm embutida toda a informação sobre o que foi construído.
[EX Q]: For you, the dream here then is that — I mean, who owns the electricity from those panels for the longer term?
[EX A]: | Para si, o sonho aqui então é que — Quero dizer, quem é o dono da eletricidade daqueles painéis a longo prazo?
| 6 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.06268171966075897,
0.9700302481651306,
0.16444426774978638,
-0.621616780757904,
-0.529060423374176,
-1.45674729347229,
0.6505481004714966,
1.2417354583740234,
0.10210242867469788,
-0.11623072624206543,
-0.1595374494791031,
0.7077081203460693,
-0.6801695823669434,
0.4800034165382385,
0.... |
In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
One example: Baru-baru ini beberapa kota busana telah diamanatkan sebagai indeks masa tubuh minimum untuk para model di landas pacu.
Solution is here: Recently some fashion capitals have mandated minimum body mass indexes for runway models.
Explanation: The above sentence is correctly translated from Bahasa Indonesia to English
Now, solve this: "Michael memiliki keinginan yang besar untuk menciptakan banyak peluang bagi masyarakat Ontario dan kami senang memiliki anggota tim seperti dia."
Solution: | "Michael is passionate about building opportunity for Ontario families and we're happy to have him on the team." | 6 | NIv2 | task543_alt_translation_bh_en | fs_opt | [
-0.9868108034133911,
0.49481910467147827,
0.23093077540397644,
-0.37876081466674805,
0.4709509015083313,
-0.5207644701004028,
0.3634952902793884,
-0.15324443578720093,
0.29885178804397583,
0.02403073012828827,
-0.4374232888221741,
0.14440220594406128,
-0.7487819790840149,
0.050414882600307... |
Definition: 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: Article: Many of us feel uneasy when someone stands too close to us, talks to us too loudly or makes eye contact with us for too long. But have you ever wondered why those things make you uncomfortable? It's all about personal peace, which means not only an imaginary space around the body, but also the space around all the senses. People feel that their space is being violated when they meet with an unwelcome sound, smell or look. This is probably why a man on a crowded bus shouting into his mobile phone or a woman next to you putting on strong perfume makes you feel angry. Whether people have had a stronger wish to protect their personal space in recent times is hard to say. Yet studies of airlines show that people have a strong desire to have space to themselves. In a survey by Trip Advisor, a travel website, people said that if they had to pay more for some extra service, they would rather have larger seats than extra food. Although people may need their personal space, some hardly realize it. For example, people on a bus who hold newspapers in front of their faces to read in fact keep a distance from strangers. Go and watch a library table. You will notice that one of the corner seats will usually be taken first, because they are the farthest way. What if someone sits opposite to you? Maybe you will pile up books as if to make a wall. Preference for personal space are different from culture to culture. Scientists have found that Americans generally prefer more personal space than people from other cultures. In Latin cultures, however, people are more comfortable standing close to each other.
Question: The writer mainly _ in this article.
Options: (A) tells us how to achieve personal space (B) explains what personal space people need is (C) introduces some knowledge about personal space (D) argues for the importance of keeping personal space
Output: | C | 2 | NIv2 | task309_race_answer_generation | zs_opt | [
0.5906386375427246,
0.31861019134521484,
-0.5706536173820496,
0.05061518773436546,
0.47685685753822327,
-0.16168034076690674,
0.8269311189651489,
0.06700122356414795,
0.3251086473464966,
0.010481803677976131,
-0.3181350827217102,
0.17527848482131958,
-0.10166718810796738,
-0.55668348073959... |
Teacher:In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: It was now reduced to a remembrance , listing of smoke , blasted bodies , and the cries of the dying .
Student: | Changed | 6 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.2160620242357254,
1.015944242477417,
0.48124605417251587,
-0.6770917773246765,
-0.3919232487678528,
-0.8001625537872314,
0.6495157480239868,
1.0577608346939087,
0.020821984857320786,
-0.22539103031158447,
-0.37922996282577515,
-0.575829029083252,
-0.6424670219421387,
0.00711118336766958... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
oIxnUToesaA
Output: | xnTs | 1 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.5384063720703125,
0.8417285680770874,
-0.1997932493686676,
-0.23457491397857666,
0.7149263620376587,
-0.7459205389022827,
0.6198039650917053,
0.6038457751274109,
0.2605692148208618,
-0.11015888303518295,
-0.1074294000864029,
-0.3918045163154602,
-0.06365208327770233,
-0.86664879322052,
... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Q: [21, 63, 46, 26, -82, 54, -44, 67, 10, -96]
A: 163
****
Q: [20, 44, 19, 60, 89, -15]
A: 104
****
Q: [-19, -75, -73, 70, 56, 85, 70, -32, -86, -56]
A: | 171
****
| 4 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.30722999572753906,
0.5543138980865479,
0.3260541558265686,
-0.4543023705482483,
-0.4343665838241577,
-0.3373691439628601,
0.4990360736846924,
-0.03261135518550873,
0.43822285532951355,
-0.29621201753616333,
-0.3178321123123169,
0.05185043811798096,
-0.6340968608856201,
-0.15163268148899... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Oh, I had no idea. Can you please tell me more about their demographics?
A: user
****
Q: In Oakland county, Michigan, lies half of the wealthiest communities in the state. Oakland county is just north of Detroit also.
A: assistant
****
Q: thank you, have a good day.
A: | assistant
****
| 4 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.7161790132522583,
0.573900043964386,
-0.2743743658065796,
-0.3796110451221466,
-0.24249742925167084,
0.1521410495042801,
0.6078243851661682,
-0.33654725551605225,
1.0556955337524414,
-0.5139932632446289,
-0.497685968875885,
-0.355110228061676,
-0.25172311067581177,
0.12335589528083801,
... |
You will be given a definition of a task first, then some input of the task.
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Paragraph: The world’s largest yoghurt maker did not say how much money it was seeking, but it has previously said it wanted full compensation for what it says were 350 million euros ($476 million) in lost sales following the recall of the company’s Dumex and Karicare infant formula products. Danone buys a range of dairy ingredients from Fonterra, but is one of its biggest customers for milk powder, according to analysts who cover the sector. Fonterra, which said it would contest the suit “vigorously”, declined to give details on its sales to the French firm. Danone has said that Fonterra supplied about 16 percent of the milk ingredients for its baby food business, which accounts for 20 percent of its total revenue. In August, Fonterra said it had found a potentially fatal ingredient in a range of products sold by multinational companies. After recalls were issued across nine countries including China, the scare turned out to be a false alarm because the ingredient was found to contain a less harmful bacteria. In a statement, Danone said it was starting proceedings in the New Zealand High Court against the world’s largest dairy processor, as well as arbitration proceedings in Singapore to bring all facts to light and obtain compensation. The company said it was also terminating its supply contract with Fonterra and would make any further collaboration contingent on a commitment by Fonterra to full transparency and compliance with Danone’s food safety procedures. “This affair illustrates serious failings on Fonterra’s part in applying the quality standards required in the food industry,” Danone said. Danone told Reuters it would source products from other firms, without elaborating. Other potential suppliers could include Glanbia, which is building a new milk powder plant in Ireland, and Arla Foods, which recently told Reuters it has “massively benefited” from a desire by milk powder buyers to diversify supply after the food safety scare and a drought last year highlighted the risk of over-reliance on one supplier. Some dairy brands in China, for example, have started to look to diversify. Glanbia and Fonterra’s much smaller competitors in New Zealand would not comment on whether they had seen more business from Danone as a result of the dispute. Arla was not immediately available. Danone’s decision to halt purchases may be an effort to distance itself from the source of the perceived problem. “It’s all about trying to rebuild their brand,” said an analyst, who added that Danone was unlikely to face any supply interruption. “This isn’t a panic decision today. They’ve been looking at (diversifying) since the minute it happened.” Danone has a cushion, the analyst said, since the sudden, sharp drop in consumer demand means there is a large amount of product that still needs to be sold. Fonterra, a farmer-owned co-operative, has denied any legal liability to Danone regarding the recall. “Fonterra has been in ongoing commercial discussions with Danone and is disappointed that they have resulted in legal action,” the company said in a statement. Shares in Fonterra’s trading fund closed down 1.7 percent, while Danone shares were down 0.7 percent at 1245 GMT. The two sides started negotiations in October, after Danone recalled its Dumex formula products in China, where demand for foreign branded infant formula is high due to a series of domestic food quality issues. It is a key growth market at a time of sluggish demand in Europe. Eight companies issued product recalls in August. Danone is the first to take legal action against Fonterra. In December, Fonterra said it had reached agreements to compensate six firms and that it was “very, very close” to an agreement with an affected nutritional company. New Zealand’s largest company controls roughly one-third of global dairy exports and is a major wholesale supplier of milk powder used in milk formula and other food products marketed by Danone, Nestle and other multinationals. A big court settlement in Danone’s favor would hurt Fonterra’s bottom line given that it has already slashed its earnings and dividend forecast on the back of rising production costs at a time when it is struggling to keep up with soaring demand for milk powder. “A large fine of the magnitude that Danone ... has stated would have a material impact. You’d have to either remove your dividend or address your capital structure,” said Rickey Ward, head of equities at Tyndall Investment Management in Auckland. Ward said that given strong global demand for dairy products, particularly from China, Fonterra was unlikely to have problems finding new buyers to replace cancelled orders. “It’s not nice to lose a big customer ... (But) there’s large global demand and short supply so Fonterra may be able to fill that void if there is a big void,” he said. Claim: Danone to sue New Zealand's Fonterra over baby formula recall.
Output: | French food group Danone said it would sue wholesale dairy exporter Fonterra and stop buying products from the New Zealand firm following a contamination scare that sparked the recall of infant milk formula across Asia. | 1 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.7125831842422485,
0.5182642340660095,
0.14387182891368866,
0.473511278629303,
0.3141704201698303,
0.3793809413909912,
0.17812195420265198,
1.587206244468689,
-0.2885627746582031,
0.2668650150299072,
0.3133544325828552,
0.8439891338348389,
-1.2367782592773438,
0.3979152739048004,
-0.294... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Q: Question: Which team that Daems scored against during the 2008-2009 season has a longer history? Passage:In January 2005, Daems signed for German club Borussia Mönchengladbach, penning a contract till June 2008. In his first season with the club, he played 11 times without scoring a goal. He would play the first match of the 2005–06 season against Schalke 04 in single goal draw. He would end the season featuring 22 times for the German club. However, he spent the 2006–07 season with the reserves, Borussia Mönchengladbach II, in the Regionalliga Nord, the then third tier of German football. For the 2007–08 season, the club played in 2. Bundesliga and Daems even scored a goal against 1. FC Köln. Mönchengladbach won the second tier and gained promotion to the 2008–09 Bundesliga. During that season, he scored two goals, one against Eintracht Frankfurt and one against Bayern Munich. In the 2009–10 season, he played 18 times scoring one goal. The goal was scored against TSG 1899 Hoffenheim, where he scored a 31st-minute penalty. In the 2010–11 season, he played the whole ninety minutes of each of the thirty-four league matches. Daems also scored four times against Schalke 04, VfL Wolfsburg, Hoffenheim and Köln.
A: | b | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.40523773431777954,
0.4347493648529053,
-0.13931554555892944,
0.12852942943572998,
-0.10768245160579681,
0.12624329328536987,
0.8563816547393799,
0.6094993352890015,
0.2314879149198532,
0.24295130372047424,
-0.06243254989385605,
0.39555859565734863,
-1.1090149879455566,
-0.208891093730926... |
Teacher:You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Teacher: Now, understand the problem? Solve this instance: CONTEXT: William Dickson «W. D.» Boyce (Condado de Allegheny, Estados Unidos, 16 de junio de 1858 – Chicago, Estados Unidos, 11 de junio de 1929) fue un empresario, editor de periódicos y revistas y aventurero estadounidense. Es conocido sobre todo por haber sido el fundador de los Boy Scouts de América (BSA) y los Lone Scouts de América (LSA), de corta duración. Nacido en el condado de Allegheny (Pensilvania), demostró desde niño un gran aprecio por las actividades al aire libre. Después de trabajar como maestro de escuela y minero de carbón, Boyce asistió a la Academia de Wooster, Ohio antes de trasladarse al Medio Oeste y Canadá. Astuto y emprendedor hombre de negocios, Boyce estableció con éxito varios periódicos, tales como The Commercial en Winnipeg, Manitoba y el Lisbon Clipper en Lisbon (Dakota del Norte). Con su primera esposa, Mary Jane Beacom, se mudó a Chicago. Allí estableció la Mutual Newspaper Publishing Company y el semanal Saturday Blade, que atendía a un público rural y fue distribuida por miles de jóvenes repartidores. Mediante el empleo de niños y adolescentes para aumentar las ventas de periódicos, la editorial de Boyce mantuvo una tirada de 500 000 ejemplares por semana en 1894. Boyce apoyó firmemente los derechos de los trabajadores, como lo demuestra el apoyo de sus negocios a varios sindicatos y su interés por mejorar las condiciones de vida de sus empleados.
QUESTION: ¿Por qué hecho es notorio William D. Boyce?
Student: | haber sido el fundador de los Boy Scouts de América | 6 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.29800036549568176,
-0.20877569913864136,
-0.21137306094169617,
0.01782771572470665,
0.39792466163635254,
-0.03589964285492897,
0.588341474533081,
1.0815759897232056,
0.19713109731674194,
0.11695919930934906,
-0.12177417427301407,
0.5238809585571289,
-0.42989879846572876,
0.07126922160387... |
Teacher:You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: फिरोज शाह के मृत्यु ने अराजकता और विघटन को जन्म दिया। इस राज के दो अंतिम शासक थे, दोनों ने अपने सुल्तान घोषित किया और 1394-1397 तक शासन किया। जिनमे से एक महमूद तुगलक था जो कि फिरोज शाह तुगलक का बड़ा पुत्र था, उसने दिल्ली से शासन किया। दूसरा नुसरत शाह था, जो कि फिरोज शाह तुगलक का ही रिश्तेदार था, ने <MASK> पर शासन किया। दोनों सम्बन्धियों के बीच युद्ध तब तक चलता रहा जब तक तैमूर लंग का 1398 में भारत पर आक्रमण नहीं हुआ।
Option A: दौलताबाद
Option B: तुगलकाबाद
Option C: समरकंद
Option D: फिरोजाबाद
Student: | फिरोजाबाद | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.5051621198654175,
1.1776057481765747,
0.29414892196655273,
-0.7858797907829285,
0.11104830354452133,
0.47983288764953613,
-0.5389120578765869,
1.0553520917892456,
0.07399125397205353,
0.1347009241580963,
-0.18615782260894775,
-0.09754060953855515,
-0.45765745639801025,
-0.554935932159423... |
Teacher: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Teacher: Now, understand the problem? If you are still confused, see the following example:
2019 Election update: Buhari borí; ó di ààrẹ
Nàìjíríà tuntun
Solution: Politics
Reason: The headline talks about the new president of Nigeria. So, it belongs to Politics category.
Now, solve this instance: AMAA 2019: Aṣọ ń pe aṣọ ránṣẹ́ lásìkò àyẹyẹ àmi ẹ̀yẹ fáwọn òṣèré tíátà
Student: | Entertainment | 2 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.33304280042648315,
-0.09068994224071503,
0.2315644919872284,
0.48030683398246765,
-0.064478799700737,
-0.26102209091186523,
-0.5703036785125732,
0.14172881841659546,
0.08821521699428558,
0.167031928896904,
-0.1374398171901703,
-0.3450823128223419,
-0.7158929109573364,
-0.1167537346482276... |
Definition: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Input: Beginning: Bill went to a joke shop to buy some fake money for a prank. Middle 1: Bill wanted to flirt with the clerk and try to use to money to pay for a water. Middle 2: Bill wanted to prank a clerk and try to use the money to pay for a water. Ending: He tried to pay for it with the fake money but the clerk refused.
Output: | 2 | 2 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.3132404386997223,
0.532960832118988,
0.37505587935447693,
-0.326369971036911,
-0.006792506203055382,
0.04621446505188942,
0.08469928801059723,
-0.06348463892936707,
0.47449028491973877,
-0.2850680649280548,
-0.5652406811714172,
0.03604265674948692,
-0.5357533693313599,
-0.16319453716278... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a 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.
[1, 2, 3]
Solution: [0.167, 0.333, 0.500]
Why? The output list sums to 1.0 and has the same weight as the input 0.333 is twice as large as 0.167, .5 is 3 times as large as 0.167, and 0.5 is 1.5 times as large as 0.333. This is a good example.
New input: [40.194, 231.855]
Solution: | [0.148 0.852] | 0 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.3388577997684479,
0.6001946926116943,
-0.7528544664382935,
-0.6767067313194275,
0.20801252126693726,
0.23052199184894562,
0.6649524569511414,
0.27243801951408386,
0.338908314704895,
0.08777298778295517,
-0.5883508324623108,
0.108150415122509,
-0.06883945316076279,
-0.0528503954410553,
... |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Sentence: Putting the key into the switch , pressing the accelerator with his foot , putting the car into reverse , seemed vast endeavors almost beyond the ability of {{ his }} shaking body .
Word: his
A: | DET | 7 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.618727445602417,
0.16991141438484192,
-0.17142625153064728,
0.4275957942008972,
-0.1281190663576126,
-1.0200212001800537,
0.6767874956130981,
0.7907190918922424,
-0.23214998841285706,
0.03654137998819351,
-0.5358062982559204,
0.25517815351486206,
-0.739185631275177,
0.41949230432510376,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Example: 6, 14, ['9545', '5185', '1667', 'w', 's', '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', '7103', 'A', '2381', '5037', 'X', '4487', 'd']
Example solution: 9559, T, u, U, 6843, L, l, 6365, 7103
Example explanation: Here, all the elements between the 6th element and 14th element are '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', and '7103'.
Problem: 3, 5, ['3327', '1621', 'g', 'c', 'n', '5901', '9633']
| Solution: g, c, n | 5 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.3285030722618103,
0.052641890943050385,
-0.6718734502792358,
-0.13841739296913147,
-0.1289084553718567,
-0.09053891897201538,
0.7199419736862183,
0.07361352443695068,
-0.9368607997894287,
-0.04560232535004616,
-0.7933052778244019,
-0.05720536783337593,
0.10477080941200256,
0.179605588316... |
Detailed Instructions: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: 報告によると、これはゼネラルマネジャーのブライアン・キャッシュマンが、今シーズンのここまでにひざ裏の腱のけがが驚くほど多いことを懸念しているためであった。
Thai: ตามรายงานสิ่งนี้อยู่นอกเหนือจากความกังวลของBrian Cashman ซึ่งเป็นผู้จัดการทั่วไป สำหรับตัวเลขการเตือนของการบาดเจ็บจากเอ็นร้อยหวายในฤดูกาลนี้
Solution: | Yes | 8 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.32388073205947876,
-0.5549376010894775,
-0.4077523946762085,
-0.1762179732322693,
0.1781628578901291,
-0.6787903904914856,
0.3985331058502197,
0.6631693840026855,
-0.635880708694458,
-0.2518049478530884,
-0.4945588707923889,
0.6506749391555786,
-0.29558855295181274,
0.7848109006881714,
... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "how" in the following question: The venue of the Greensboro Pride had wooden bleachers for how many decades ?
| DT | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.7322618365287781,
0.280072957277298,
-0.3186205327510834,
0.8044857382774353,
0.053444139659404755,
-0.6134442090988159,
0.43934303522109985,
0.3308241069316864,
-0.593408465385437,
0.1850515604019165,
-0.3662026524543762,
0.15012916922569275,
-0.022325187921524048,
0.12309741973876953,
... |
instruction:
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
question:
Reviews: This came on a slow boat from China. They got here 3 weeks after the no return date, and they were the wrong color. I ordered 1 pain tan and 1 pair gray. The tan came in a few days, the grey (tan again) came late and now I have 2 pair the same color, and cannot return them.
Category: grocery
answer:
False
question:
Reviews: I really wanted to like these..... but they are not comfortable and seem to have been sewn weird. The legs twist around and I am always having to untwist them. They will be going to good will.
Category: sports
answer:
False
question:
Reviews: i like how long the cord is but only lasted about a month before the connection to the part that plugs into started to have the wires mess up and now you have to hold it a certain way for it to work correctly
Category: electronics
answer:
| True
| 9 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.04753417521715164,
-0.13593700528144836,
-0.37785425782203674,
-0.33759284019470215,
-0.10552754253149033,
0.18497872352600098,
0.5835553407669067,
0.3882056474685669,
-0.6828986406326294,
0.2827482223510742,
-0.6353663206100464,
0.5849916338920593,
-0.03210543468594551,
0.1965379416942... |
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