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 |
|---|---|---|---|---|---|---|
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Example: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had spri... | Solution: 2 stars | 5 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.37549033761024475,
0.7532597184181213,
-0.7777754068374634,
-0.017618877813220024,
0.1100376546382904,
-1.2280938625335693,
0.08447834104299545,
1.0862128734588623,
0.143583282828331,
-0.23334774374961853,
0.42566874623298645,
0.31930896639823914,
-0.9219897985458374,
0.34898799657821655... |
TASK DEFINITION: In this task, you are given a sentence in Persian, and your task is to translate it into English.
PROBLEM: قرار بر این بود که فردایان روز
SOLUTION: It had been arranged that on the following morning,
PROBLEM: و وقتی شب بهخیرگفت و از خانه بیرون آمد سر راهش به یک مغازهی دوچرخه فروشی رفت و چهل دلار دا... | but Jo never turned and went slowly zigzagging down the river,
| 8 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.10748450458049774,
0.497306764125824,
-0.3182707130908966,
0.19835160672664642,
-0.8459047079086304,
0.36558908224105835,
1.2171270847320557,
0.20071575045585632,
-0.16789403557777405,
-0.2732471227645874,
-0.7073190212249756,
0.5737278461456299,
-0.12517660856246948,
0.1120228767395019... |
Detailed Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plau... | b | 8 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.054265111684799194,
0.3503953814506531,
-0.0049971239641308784,
-1.000147819519043,
-0.28232091665267944,
-0.03385447710752487,
0.6848104596138,
0.9251374006271362,
0.006611423566937447,
0.35525357723236084,
-0.42985665798187256,
-0.41637343168258667,
-0.49654504656791687,
-0.1227504834... |
Part 1. Definition
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the... | no | 7 | NIv2 | task211_logic2text_classification | fs_opt | [
0.024786408990621567,
-0.08759382367134094,
-0.30909445881843567,
0.43825942277908325,
0.41744738817214966,
-0.47762203216552734,
0.16842719912528992,
0.6251446008682251,
0.13649556040763855,
-0.03905440866947174,
-0.43703335523605347,
0.4216175079345703,
-0.11864078789949417,
0.4602981805... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
One example: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Solution is here: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy ... | Pero este es un punto en la historia en el que me soy codicioso. | 6 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.6923812627792358,
0.41370925307273865,
-0.5820258855819702,
0.010594790801405907,
-0.24625343084335327,
0.14226800203323364,
0.2134667932987213,
0.28032824397087097,
-0.30096927285194397,
-0.29848629236221313,
-0.5667638778686523,
0.344200074672699,
0.04406021907925606,
0.03245929256081... |
Detailed Instructions: 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.
Q: Is AUTHOR wrong in the post ? POST : I met this woman Sarah on a dating a... | no | 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.7288569808006287,
-0.39830389618873596,
-0.3192748427391052,
0.11748005449771881,
0.37793177366256714,
-0.5335209369659424,
1.4063632488250732,
1.043217658996582,
0.09703309088945389,
0.20668983459472656,
0.1700959950685501,
0.3175355792045593,
-0.7990153431892395,
0.2492043673992157,
... |
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.
Ex Input:
6, 7, ['L', 'B', '4427', '... | 9781
| 1 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.13706880807876587,
0.2465544044971466,
-0.5065726041793823,
-0.3918560743331909,
-0.29132869839668274,
-0.2834942638874054,
0.650121808052063,
-0.10527625679969788,
-0.4553704261779785,
-0.09865380823612213,
-0.9439866542816162,
0.26246947050094604,
-0.02177727408707142,
-0.148527562618... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No
| 0 | NIv2 | task356_casino_classification_negotiation_self_need | fs_opt | [
0.5733765363693237,
-0.033483222126960754,
-0.6196625232696533,
-0.3085150420665741,
-0.0220726877450943,
-1.3714427947998047,
0.9172885417938232,
0.6146924495697021,
-0.6651400327682495,
-0.0211313646286726,
0.3173186779022217,
-0.07650380581617355,
-0.7815021872520447,
0.269015371799469,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: At 6 Flags White Water...in awe of just how differently God made each of us...
Example Output: positive
Example Input: @joeymcintyre Sexify ... | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt | [
-0.8998544812202454,
0.3520928621292114,
0.6300512552261353,
0.40089815855026245,
0.17438817024230957,
-1.105965256690979,
-0.5273497104644775,
0.8347085118293762,
0.2983606457710266,
0.5438029766082764,
-0.012985432520508766,
-0.5079814195632935,
-0.3960932195186615,
-1.0750312805175781,
... |
Teacher:Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given ... | Jackson. | 6 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.2863813042640686,
0.41734635829925537,
-0.6391072869300842,
-0.030024329200387,
0.9345601201057434,
-0.8442325592041016,
0.8044524192810059,
1.1495202779769897,
0.05759359896183014,
0.0754120871424675,
-0.13513323664665222,
0.4133526086807251,
-0.5900957584381104,
0.006896836683154106,
... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | PersonX has hired PersonY to install new Microsoft programs on the laptop. _ is more of an expert at technology. | 9 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.0111472606658936,
0.18074822425842285,
-0.361224502325058,
0.020596913993358612,
0.35181862115859985,
-1.035393476486206,
1.39236319065094,
0.6923856735229492,
-0.38299113512039185,
-0.5729517936706543,
-0.20339420437812805,
0.006724235601723194,
-0.7988134622573853,
0.35206714272499084,... |
Q: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
They, and every beast after his kind, and all the cattle after their kind, and every creeping thing that creepeth upon the earth after his kind, and every fowl after his kind, every bird of every sort.
A: | ایشان و همه حیوانات به اجناس آنها، و همه بهایم به اجناس آنها، و همه حشراتی که بر زمین میخزند به اجناس آنها، و همه پرندگان به اجناس آنها، همه مرغان و همه بالداران. | 7 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.8184089660644531,
0.872562050819397,
-0.59722900390625,
0.316203773021698,
-0.9111700057983398,
0.17016637325286865,
0.343898206949234,
0.23296478390693665,
0.29312458634376526,
-0.42875218391418457,
-0.3429946005344391,
0.5873754024505615,
-0.8071451187133789,
0.20718395709991455,
0.... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_LOOK I_LOOK I_WALK I_WALK
| 0 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.2921408712863922,
0.6170688271522522,
-0.5128636360168457,
0.02861952781677246,
0.07350721955299377,
-0.15448050200939178,
0.21399006247520447,
0.2776884436607361,
-0.21279802918434143,
0.06492806226015091,
-1.0000855922698975,
-0.21420705318450928,
-0.6181488037109375,
-0.15004293620586... |
instruction:
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".
question:
Review: The second alternate Gundam universe... | no
| 9 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.26084667444229126,
-0.11030252277851105,
-0.2510720193386078,
-0.22651997208595276,
0.542290985584259,
-0.9939143061637878,
0.7813993692398071,
0.7505568265914917,
-0.5310271978378296,
-0.1451220065355301,
-0.46146997809410095,
-0.045814551413059235,
-0.5248615741729736,
0.0074961753562... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : He... | Which award did Heinz Behnke get? | 0 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.039470404386520386,
1.2008366584777832,
0.017796656116843224,
0.18199658393859863,
0.04841060936450958,
-0.9198929667472839,
1.035142421722412,
0.4730311334133148,
0.07854779064655304,
-0.22484055161476135,
-0.8296386003494263,
0.12501820921897888,
-1.3407951593399048,
0.433415651321411... |
Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has part?.'
Input: Consider ... | Output: 1
| 2 | NIv2 | task1583_bless_meronym_classification | fs_opt | [
-0.1854512095451355,
0.8783966302871704,
-0.6948056221008301,
0.34806784987449646,
-0.14315834641456604,
-0.2510800361633301,
0.8433047533035278,
0.2702367901802063,
-0.04011492431163788,
-0.5321582555770874,
-0.20856186747550964,
0.07567143440246582,
-1.060211420059204,
0.4085953235626220... |
Teacher: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع... | Si ustedes recuerdan, antes de eso, no importaba qué le aquejara, Ud. iba con el cirujano barbero quien terminaría aplicándole ventosas, sangrándolo, purgándolo. | 2 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.516146183013916,
0.6110141277313232,
-0.311471551656723,
-0.48908111453056335,
-0.5442808866500854,
-0.09432687610387802,
0.749122679233551,
0.7857753038406372,
0.357815682888031,
0.23048856854438782,
0.12896186113357544,
0.3639184236526489,
-0.894267737865448,
-0.2299502193927765,
0.... |
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.
Q: Rational number -- In mathematical analysis, the rational numbers form a dense subset of the real numbers. The real numb... | is every rational number is a real number | 4 | NIv2 | task1660_super_glue_question_generation | zs_opt | [
-0.5338448286056519,
0.3002535104751587,
0.18654383718967438,
-0.10683158040046692,
-0.4610954523086548,
-0.17392390966415405,
1.2005724906921387,
0.20535004138946533,
0.3945346474647522,
0.31944572925567627,
-1.327746868133545,
0.22270935773849487,
-0.6064881086349487,
0.15570449829101562... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Ex Input:
Category: THE ELEMENTS
Clue: Most fluorescent lights are filled with a combination ... | fish
| 1 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
0.0921395793557167,
1.123110294342041,
0.1568184792995453,
-0.4418223202228546,
-0.6005982160568237,
-0.2217351347208023,
1.158795714378357,
-0.04476773366332054,
-0.056575559079647064,
0.2283276617527008,
-0.6219487190246582,
0.0760347843170166,
-1.1904233694076538,
0.23659764230251312,
... |
Teacher:You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Teacher: Now, understand the problem? Solve this instance: It's a good id... | True | 6 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.6373252868652344,
0.417544424533844,
0.1950443983078003,
0.02781335636973381,
-0.26178207993507385,
-1.5835906267166138,
0.16557639837265015,
1.1298748254776,
-0.38086268305778503,
-0.01832634024322033,
-0.5328284502029419,
0.28420642018318176,
-0.5396268963813782,
-0.40939587354660034,... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Sorry, no reservation found on your name to change your reservation. | agent | 0 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.04307401180267334,
0.38839420676231384,
0.1919703483581543,
-0.6464188694953918,
-0.23169325292110443,
0.014238131232559681,
0.5489811897277832,
0.13278347253799438,
0.5426738262176514,
0.31530997157096863,
-0.10461267083883286,
-0.5238770246505737,
-1.1402130126953125,
-0.0770357102155... |
Part 1. Definition
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Part 2. Example
La LGV est très rare en Europe.
Answer: LGV i... | If the management team of the mailbox is unable to answer your question, it will forward your e-mail to another service. | 7 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-1.3242475986480713,
0.3016069531440735,
0.64829421043396,
-0.7053958177566528,
0.39609503746032715,
0.29433080554008484,
0.7505168914794922,
-0.39950284361839294,
0.07691275328397751,
-0.3524494469165802,
-0.1888570636510849,
0.6603891849517822,
-0.6055240035057068,
0.6412780284881592,
... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 1 | 0 | NIv2 | task1541_agnews_classification | zs_opt | [
-1.0951428413391113,
0.39517882466316223,
-0.027055824175477028,
0.2896781265735626,
0.010183114558458328,
0.02740897610783577,
0.2669947147369385,
-0.0023277243599295616,
-0.22418063879013062,
-0.1260484755039215,
-0.36357566714286804,
0.20854049921035767,
-0.21505649387836456,
-0.1624252... |
TASK DEFINITION: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: イスラエルの最高裁判所は、2003年にバラド党を追放する同様の試みを破棄しており、金曜日までに昨日の投票にも適用されるべきだ。
SOLUTION: តុលាការយុត្តិធម៌កំពូលរបស់ប្រទេសអ៊ីស្រាអែលបានប... | ការស៊ើបអង្កេតផ្ទៃក្នុងនៃ RCMP ជាបន្ទាប់មួយ បានរកឃើញភាពខុសឆ្គងជាច្រើននៅក្នុងករណីអារ៉ា រួមមានការផ្តល់ព័ត៍មានអំពីអារ៉ាទៅមន្ត្រីសហរដ្ឋអាមេរិក និងដែលថាមន្ត្រីសម្របសម្រួលប្រហែលជាបានដឹងពីផែនការនិរទេសនេះ ប៉ុន្តែមិនបានទាក់ទងអ្នកគ្រប់គ្រងរបស់គាត់។
| 8 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.1242179274559021,
-0.20381638407707214,
-0.037121787667274475,
0.3969690203666687,
0.01940569281578064,
-0.1999937891960144,
1.0426679849624634,
0.34854692220687866,
-0.5186830759048462,
0.22998595237731934,
-0.8050388097763062,
0.844536304473877,
-0.6320844292640686,
0.6017863750457764... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Nel progetto vincente dell ’ iniziativa Life Edited che vedete nell ’ immagine, abbiamo unito un muro mobile ad un set di mobili trasformabili per sfrutta... | Na configuração vencedora da Life Edited que mostramos aqui, combinamos uma parede movível com mobília que se transforma para usar os espaço da melhor forma possível. | 6 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.40655818581581116,
0.8373531103134155,
0.1737123429775238,
-0.8669999837875366,
-0.5875373482704163,
-0.5482528209686279,
-1.4123482704162598,
1.3063594102859497,
-0.02533024176955223,
0.408293217420578,
0.2728734612464905,
0.2807145118713379,
-0.7889336347579956,
-0.5089070200920105,
... |
Q: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inf... | weakener | 7 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.040758658200502396,
0.46558237075805664,
-0.6775832176208496,
0.25660502910614014,
0.09513786435127258,
-1.4512748718261719,
1.4675430059432983,
0.8869017362594604,
0.679908037185669,
0.13680514693260193,
-0.8339766263961792,
0.06219036877155304,
-0.6956686973571777,
-0.03824973851442337... |
instruction:
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
question:
A two–step Christoffel function based solution is proposed to distribution regression problem. On the first step, to model distribution of observ... | Model-Based Bayesian Reinforcement Learning in Large Structured Domains
| 9 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
0.18794694542884827,
-0.36092710494995117,
-0.7108640670776367,
-0.1386486291885376,
0.25894010066986084,
-0.11489272117614746,
1.3423264026641846,
0.8427146077156067,
0.05583599954843521,
0.3649143576622009,
-0.4774767756462097,
0.3312646746635437,
-0.11096394807100296,
0.6870081424713135... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
De feito, prediciuno Alexander Fleming, o home que descubriu a penicilina.
في الحقيقة ، توقع هذا الأمر الكسندر فيلمينج ، الرجل الذي اكتشف البنسيلن
Apaixóame.
وانا ملهم جداً بهذه المواقف
Porque, despois de todo, estamos ... | وذلك لأننا في النهاية نقوم بالتنقيب فوق الأرض
| 0 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.7188339233398438,
0.26708537340164185,
-0.747814416885376,
-0.781952977180481,
-0.15545034408569336,
-1.38844633102417,
0.6572146415710449,
0.11617882549762726,
0.2843898832798004,
0.16359177231788635,
-0.95849609375,
0.25174278020858765,
-1.4331722259521484,
0.08307027816772461,
0.45... |
Q: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence shou... | من از تماشای دوباره برگردانهای قدیمی لذت می برم زیرا آنها مرا آرام می کنند. | 7 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.1179817914962769,
0.21944880485534668,
0.23111511766910553,
0.024577001109719276,
-0.3488205075263977,
-0.7946701645851135,
0.7879782915115356,
0.4510939419269562,
0.3619735538959503,
-0.34658727049827576,
-0.5978343486785889,
0.27553460001945496,
-0.43526729941368103,
0.019148029386997... |
Q: 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... | Yes | 7 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.23077362775802612,
-0.17924126982688904,
-0.054751262068748474,
-0.08914022892713547,
-0.3002755045890808,
-1.3548829555511475,
1.4509756565093994,
-0.08050411939620972,
-0.47933870553970337,
-0.747291088104248,
0.19931238889694214,
-0.12392150610685349,
-0.7827277183532715,
0.4650789499... |
Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
Example: Pro... | Solution: Completion A | 5 | NIv2 | task137_detoxifying-lms_classification_toxicity | fs_opt | [
-0.1111006811261177,
-0.35425010323524475,
0.33780437707901,
0.36748194694519043,
0.5089000463485718,
-0.6162707805633545,
-0.3196430206298828,
0.4309374988079071,
-0.1517261266708374,
-0.040939196944236755,
-0.7123783826828003,
0.16906967759132385,
0.45300161838531494,
-0.1010183542966842... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True | 6 | NIv2 | task1187_politifact_classification | fs_opt | [
0.17426303029060364,
0.2231980562210083,
-0.05271906405687332,
0.5315157771110535,
-0.7550902366638184,
-0.4953530430793762,
1.0988266468048096,
-0.09594982862472534,
0.1074281632900238,
-0.02540445700287819,
-0.8977640271186829,
0.2587115168571472,
-0.19298306107521057,
0.4362537264823913... |
Definition: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Input: jblbljljblb
Output: | blb | 2 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.4286842942237854,
1.1479616165161133,
-0.5795907974243164,
-0.15185052156448364,
-0.6606485843658447,
-0.030979784205555916,
1.077742338180542,
-0.4269547462463379,
-0.35418155789375305,
-0.31532227993011475,
-0.5757706165313721,
0.25974518060684204,
-0.5560572147369385,
0.5264471769332... |
Teacher:In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The ... | holding that defendants had no standing where they conceded that they did not own the automobile searched and were simply passengers the owner of the car had been the driver of the vehicle at the time of the search | 6 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.5885630249977112,
0.18436464667320251,
-0.3178774416446686,
0.12691688537597656,
-0.24174316227436066,
-1.311671257019043,
0.42073822021484375,
1.0905382633209229,
-0.12229745090007782,
0.07430733740329742,
-0.5006150007247925,
0.22497227787971497,
-0.22666534781455994,
-0.30216723680496... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
It was sad to leave... | 4 | 1 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
0.1724836826324463,
0.1804303526878357,
0.08563920855522156,
-0.2416602373123169,
0.5562369227409363,
0.20157299935817719,
1.3471271991729736,
0.33912381529808044,
-0.09457910805940628,
0.5007345676422119,
-0.5122963786125183,
-0.40616536140441895,
-0.6366737484931946,
0.20193979144096375,... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
בזמן שבו חיים הופיעו על כדור הארץ, למאדים היה אוקיינוס, היו לו הרי געש, היו לו אגמים, והיו לו דלתות כמו התמונה היפה שאתם רואים כאן.
A: | في الوقت الذي ظهرت فيه الحياة على الأرض ، لم يكن المريخ يمتلك محيطًا ، امتلك براكين وامتلك بحيرات ، وامتلك دلتا مثل الصورة الجميلة التي ترونها هنا. | 7 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.04007847234606743,
0.07145603746175766,
-0.8522679805755615,
-0.527524471282959,
-0.3962790369987488,
-0.37648382782936096,
0.5541747808456421,
-0.07893022894859314,
0.030114831402897835,
0.3029303252696991,
-0.525283932685852,
-0.5387061834335327,
-0.45229148864746094,
0.16932030022144... |
Definition: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '4 small red beets, cooked and peeled', '2 large carrots, peeled', '1 1/2 tablespoons red wine', '1 1/2 tablespoons red wine vinegar', '4 tablespoons fresh cranberries, sliced thin'... | Beet, Carrot & Cranberry Salad | 2 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.5750672817230225,
0.3971025347709656,
-0.9316504001617432,
0.784841775894165,
0.6194322109222412,
0.10788814723491669,
0.8662970066070557,
1.173025369644165,
-0.3653293550014496,
0.17228931188583374,
0.001110801356844604,
0.40631479024887085,
-0.0030639772303402424,
0.4784301519393921,
... |
You will be given a definition of a task first, then some input 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 li... | [41, 1323, -8789, -23, 0, -1935, 15, -1089] | 1 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.5251846313476562,
0.4075014591217041,
-0.5108565092086792,
0.0880495011806488,
0.2351614236831665,
0.25279176235198975,
1.346423864364624,
0.19419975578784943,
0.36989402770996094,
0.11763186752796173,
-0.7282546162605286,
-0.5736508965492249,
-0.2608419358730316,
-0.2788010239601135,
... |
Definition: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Input: (CNN) Zika is here, in t... | Zika | 2 | NIv2 | task339_record_answer_generation | zs_opt | [
0.5386339426040649,
-0.38934698700904846,
-0.20189668238162994,
-0.11362765729427338,
0.3033379912376404,
-0.13870801031589508,
0.5649466514587402,
0.8228796720504761,
0.1907523274421692,
0.38792937994003296,
0.045912519097328186,
1.0079259872436523,
-0.3479542136192322,
0.3460590243339538... |
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 the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: अधिनियम के अधीन एक से अधिक दावा अधिकरण स्थापित किए ज... | Under the Act more than one Claims Tribunal can be set up and their territorial jurisdiction is specified by notification constituting the Tribunals . | 3 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
0.39088988304138184,
0.167779803276062,
0.9538397789001465,
0.024829775094985962,
-0.044330403208732605,
-0.510405957698822,
0.01563507318496704,
0.6487723588943481,
0.08491858839988708,
-0.545293390750885,
-0.5211755037307739,
-0.5933789610862732,
-0.6726514101028442,
0.13581882417201996,... |
Q: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: Collard greens -- Collard greens are a staple vegetable in Southern U.S. cuisine. They are often prepared with... | 0 | 7 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.19865530729293823,
0.3034427762031555,
-0.5917967557907104,
-0.058727797120809555,
-0.16839495301246643,
-0.4452294707298279,
0.722281277179718,
1.0499508380889893,
-0.32287919521331787,
0.08148030936717987,
-0.22859621047973633,
0.06539838016033173,
-0.4961411654949188,
0.3577635884284... |
Part 1. Definition
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two po... | elementary | 7 | NIv2 | task1712_poki_classification | fs_opt | [
0.8611449003219604,
0.9304094314575195,
0.43986669182777405,
-0.542704701423645,
-0.07634024322032928,
-0.52485191822052,
0.45375117659568787,
0.20743140578269958,
0.47437426447868347,
-0.9264665842056274,
-0.5709431171417236,
0.27088063955307007,
-0.5611311197280884,
0.11152512580156326,
... |
Detailed Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given questio... | 1. | 8 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.27731719613075256,
0.30430227518081665,
-0.5238192081451416,
0.13026683032512665,
-0.4623866081237793,
-0.26095056533813477,
0.9282170534133911,
0.6290960311889648,
0.2052600234746933,
0.011041920632123947,
-1.1524643898010254,
0.5640337467193604,
-0.708368718624115,
0.1856478601694107,
... |
TASK DEFINITION: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it'... | True
| 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.7194720506668091,
0.4154457449913025,
-0.750274658203125,
0.31063157320022583,
-0.8109909296035767,
0.06681954860687256,
0.6125927567481995,
0.6021884679794312,
0.3520711064338684,
-0.2830708622932434,
-0.40201255679130554,
0.17209824919700623,
0.2050282061100006,
0.15813985466957092,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
i feel unwelcome at work sometimes and think people might be talking about me
Outp... | sadness | 1 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.2419846057891846,
-0.3138989806175232,
0.13099521398544312,
0.5852124094963074,
0.036145567893981934,
-0.2212585210800171,
0.1479734480381012,
-0.03428182005882263,
0.3851476311683655,
0.37822669744491577,
-0.333821177482605,
-0.30788832902908325,
0.2558027505874634,
-0.1908878535032272... |
Instructions: You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
Input: Sentence: John and Flora each head ... | Flora | 3 | NIv2 | task1383_quarel_write_incorrect_answer | zs_opt | [
-0.15379032492637634,
0.9067493081092834,
-0.4294520616531372,
-0.4420740008354187,
-0.36177411675453186,
-1.0060250759124756,
0.13547725975513458,
0.26841914653778076,
0.047484613955020905,
-0.08024296164512634,
-0.48473459482192993,
0.42968860268592834,
-0.7077284455299377,
0.41855290532... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | Output: run right twice after look right thrice
| 2 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.533058762550354,
0.5991392135620117,
-0.5147808194160461,
0.06257709860801697,
0.04065455496311188,
0.23581454157829285,
-0.030770782381296158,
0.7582079768180847,
-0.24154993891716003,
0.03981318697333336,
-0.6690398454666138,
-0.4550876021385193,
-0.6473432779312134,
-0.039988972246646... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Ian Stewart was known as the sixth member of which British rock group? | rolling stones | 0 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
1.6471855640411377,
1.506252646446228,
0.28303277492523193,
-0.8840018510818481,
-0.7190648317337036,
-0.39316466450691223,
0.5571399927139282,
-0.30927562713623047,
0.11555853486061096,
-0.8516402244567871,
-0.0894121453166008,
0.1726885885000229,
-1.3791618347167969,
-0.2507897615432739,... |
Translate from English to Hindi.
Q: He takes it.
A: वह इसे लेता है.
****
Q: On the way back You should never look back.
A: वापस रास्ते में ... ... तुम्हें मुड़कर नहीं देखना चाहिए.
****
Q: - Four?
A: | - चार?
****
| 4 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.19762015342712402,
1.6069092750549316,
0.04651644080877304,
-0.10149699449539185,
-0.21237970888614655,
0.09563572704792023,
0.9868775010108948,
0.4450846314430237,
-0.4260447025299072,
0.13310639560222626,
-0.8694131374359131,
0.878537118434906,
-0.2794255018234253,
-0.49587804079055786... |
Given the task definition and input, reply with output. In this task, you are given a country name, and you need to return the numeric International Organization for Standardization (ISO) code of the given country. The codes are three-digit numbers defined by the ISO to represent countries, dependent territories, and s... | 528 | 5 | NIv2 | task1425_country_iso_numeric | zs_opt | [
-0.4674840271472931,
0.531741738319397,
-0.17028433084487915,
-0.49686047434806824,
0.05060013383626938,
0.11414225399494171,
0.4485848844051361,
-0.20345178246498108,
-0.6767016649246216,
0.48135384917259216,
-1.2784786224365234,
0.34761250019073486,
-0.22066327929496765,
-0.0859837830066... |
Definition: A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਪ੍ਰਧਾਨਗੀ ਹੇਠ ਆਰਥਿਕ ਮਾਮਲਿਆਂ ਦੀ ਕੈਬਨਿਟ ਕਮੇਟੀ ਨੇ ਖਾਦ ਵਿਭਾਗ ਦੇ ਪ੍ਰਸਤਾਵ ਦੇ ਮੱਦੇਨਜ਼ਰ ਮੌਜੂਦਾ ਗੈਸ ਅਧਾਰਿਤ ਯੂਰੀਆ ... | نئی دہلی، 15 اپریل 2019، وزیراعظم جناب نریندرکی صدارت میں اقتصادی امور سے متعلق کابینہ کمیٹی نے 28 مارچ 2018 کے اعلانیہ کے ذریعہ قبل ہی ترمیم شدہ التزامات کو چھوڑکر یکم اپریل 2019 سے آئندہ احکامات تک کے لئے نئی یوریا پالیسی 2015 کی مدت کار میں توسیع کی محکمہ کیمیائی کھاد کی تجویز کو اپنی منظوری دے دی ہے۔ | 2 | NIv2 | task1051_pib_translation_punjabi_urdu | zs_opt | [
0.10721363872289658,
0.18488162755966187,
-0.16266770660877228,
-0.4243404269218445,
-0.33505088090896606,
-0.6820919513702393,
0.5648614168167114,
0.47035419940948486,
-0.46196702122688293,
0.7183729410171509,
-0.5557049512863159,
-0.767999529838562,
-0.09849344938993454,
0.58009463548660... |
Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever availab... | Yes | 3 | NIv2 | task354_casino_classification_negotiation_no_need | zs_opt | [
-0.2511756718158722,
0.45608294010162354,
-0.598041296005249,
0.2590427100658417,
-0.11479591578245163,
-1.0724153518676758,
0.34722161293029785,
0.725261926651001,
-0.3551676869392395,
0.19332042336463928,
-0.044875580817461014,
-0.0797262117266655,
-0.7309855222702026,
-0.263997018337249... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A man is sitting on a bed. | 6 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.25271427631378174,
0.8350491523742676,
0.6948196887969971,
-0.6692034006118774,
0.29230040311813354,
-0.5721324682235718,
-0.16765493154525757,
0.648429811000824,
0.834256112575531,
-0.19084207713603973,
-1.1106903553009033,
-0.37307822704315186,
-0.7497203350067139,
-0.2359237670898437... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
One example: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution is here: E eu continuo a pensar que o transporte é o centro deste universo.
Explanation: The Farsi sentence is correctly translated into Portugese, ... | Joseph e Christine, que gerem uma farmácia onde vendem alguns desses preservativos, dizem que apesar das agências de ajuda os disponibilizarem a pouco ou nenhum custo, e de terem campanhas de publicidade em conjunto, os seus clientes não compram os produtos de marca. | 6 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.512248158454895,
0.25369393825531006,
-0.21384648978710175,
0.15534204244613647,
-0.4175523519515991,
0.1927778422832489,
0.06014661118388176,
0.6759558320045471,
0.1539238840341568,
0.15574103593826294,
-1.193518877029419,
0.4512048065662384,
-0.13362228870391846,
0.3027389645576477,
... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | home improvement | 4 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
0.2531714141368866,
-0.6663656234741211,
-0.4741874039173126,
0.5365567803382874,
0.8562110066413879,
-0.49814271926879883,
0.7245419025421143,
0.8602722883224487,
-0.2146378606557846,
0.570144534111023,
0.43592309951782227,
0.16550886631011963,
-0.5292232036590576,
-0.3964582085609436,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Q: Np. skierowanie zbrodni w Darfurze do Międzynarodowego Trybunału Karnego, za którym administracja Busha nie przepada.
A: | למשל, הבאת הפשעים בדרפור לבית הדין הבינ "" ל לפשעי מלחמה, מה שלא מוצא חן בעיני ממשל בוש. | 9 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.5203213095664978,
0.7066502571105957,
0.3530270457267761,
-0.15866369009017944,
-0.3293592035770416,
-0.2966046929359436,
0.6159684062004089,
0.566503643989563,
0.6186929941177368,
0.5746619701385498,
-0.08335722237825394,
0.2266272008419037,
-1.0465340614318848,
0.38667649030685425,
... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
See one example below:
Problem: My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Explanation: The answer given was regarding something that the person a... | Do you like children books? | 4 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.09892287850379944,
0.4515855312347412,
0.03636917844414711,
-0.14242194592952728,
-0.08567801862955093,
-0.6090997457504272,
0.8303396105766296,
0.4709310531616211,
0.3564280569553375,
-0.06784097850322723,
-0.3744163513183594,
0.03923086076974869,
-1.2618532180786133,
-0.00720216147601... |
TASK DEFINITION: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not ... | [-146, 150, -18.0, -1.5, -154, 4.5, 238, -10]
| 8 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.18699505925178528,
0.523256778717041,
-0.28637272119522095,
-0.37120503187179565,
0.3111535608768463,
-0.1095968559384346,
1.4769203662872314,
0.285183310508728,
-0.09845509380102158,
0.19500969350337982,
-0.5331230759620667,
-0.23582780361175537,
-0.7133761048316956,
0.0396719761192798... |
Given the task definition and input, reply with output. Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Chinese inventor Cai Lun is credited with inventing what in 105bc The first instance of his invention was created from a mixture of tree ba... | cai lun | 5 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
-0.045231543481349945,
0.43110111355781555,
-0.8096933960914612,
0.314178466796875,
-0.14015433192253113,
-0.08173549175262451,
0.4809415340423584,
0.12995728850364685,
-0.7440875768661499,
0.056265585124492645,
-0.6506372690200806,
0.10140912234783173,
-0.5308112502098083,
0.7137336730957... |
Part 1. Definition
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Part 2. Example
Preheat oven to 325F and grease and flour a 10" tube pan.,Soak the nutmeg in the whiskey for ten minutes.,______,Cream bu... | In a large sauce pan, heat cream, butter, salt and pepper. | 7 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.6130964159965515,
0.4362516403198242,
-0.5658128261566162,
0.33650949597358704,
0.5642446279525757,
0.17948317527770996,
0.7290807962417603,
1.0455114841461182,
-0.7567616701126099,
0.17798244953155518,
0.4153282046318054,
0.28106144070625305,
-0.34115415811538696,
-0.17265552282333374,
... |
Teacher:You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Teacher: Now, understand the problem? Solve this instance: I made this man feel ecstatic.
Student: | male | 6 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.6367592811584473,
0.353909969329834,
-0.1243133693933487,
-1.196251392364502,
-0.34646281599998474,
-0.6144113540649414,
0.8989933729171753,
0.8102340698242188,
1.2042911052703857,
-0.1517723649740219,
-0.5140376091003418,
0.0076505024917423725,
-0.7869604825973511,
-0.6355661749839783,... |
TASK DEFINITION: In this task, you need to count the number of words in a sentence that contain the given letter
PROBLEM: Sentence: 'skate boarder trying to maintain his balance during stunt'. How many words contain the letter 'w' in the sentence.
SOLUTION: 0
PROBLEM: Sentence: 'a pizza with sauce cheese and sausage ... | 0
| 8 | NIv2 | task161_count_words_containing_letter | fs_opt | [
0.5169001817703247,
0.49767202138900757,
-0.19167569279670715,
-0.5788791179656982,
0.08112016320228577,
0.40750420093536377,
1.0494118928909302,
0.2596815228462219,
0.7234412431716919,
-0.2732499837875366,
0.33546143770217896,
0.5354771018028259,
-0.6091899871826172,
0.12296365201473236,
... |
Instructions: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Input: Context_1 : Automan is an American soft science fiction superhero television series prod... | Vancouver | 3 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
1.2146399021148682,
-0.3299514055252075,
-0.6050857305526733,
-0.35026484727859497,
0.6682472229003906,
0.39135321974754333,
0.8952975273132324,
1.2835912704467773,
-0.28703799843788147,
-0.0071825855411589146,
-0.16307660937309265,
0.4698869585990906,
-0.4467981457710266,
0.20910970866680... |
Given the task definition and input, reply with output. In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, ... | Are the more metallic cubes or matte balls? | 5 | NIv2 | task184_break_generate_question | zs_opt | [
0.5949222445487976,
0.10786537081003189,
-0.7434471845626831,
0.6623071432113647,
0.2546466290950775,
-0.36180201172828674,
0.7703741788864136,
0.3321065604686737,
-0.2384970486164093,
0.5714938640594482,
-0.44158241152763367,
0.393074631690979,
0.059034522622823715,
0.16080492734909058,
... |
Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, ot... | Option 1 | 3 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.48266083002090454,
0.8477514982223511,
0.14515812695026398,
-0.12454859912395477,
0.09856106340885162,
0.03911980241537094,
-0.06428259611129761,
1.291295051574707,
-0.20317791402339935,
0.29018110036849976,
-0.21419277787208557,
-0.6937010884284973,
-0.5810140371322632,
-0.385389417409... |
Given the task definition and input, reply with output. Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when tw... | When a body of water receives more water than it can hold, death and devastation can result. | 5 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.028256192803382874,
0.9142072796821594,
-0.32069945335388184,
0.12857544422149658,
-0.21927142143249512,
-1.0920871496200562,
-0.17361599206924438,
1.0831520557403564,
-0.45135462284088135,
-0.017695538699626923,
-0.6490127444267273,
0.4246309995651245,
-0.7662990689277649,
0.06224516034... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Example input: Alphonse feels anxious.
Example output: fear
Example explanat... | joy | 3 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.29445457458496094,
0.6615636348724365,
0.7217649817466736,
-0.5668722987174988,
-0.2661631405353546,
-0.5716433525085449,
1.0265166759490967,
0.30170127749443054,
-0.01053336076438427,
-0.36096712946891785,
-0.39559951424598694,
-0.08545742183923721,
-0.631322979927063,
-0.1350519359111... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
How much fresco did the flood damage? | 0 | 0 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.17136868834495544,
1.1984710693359375,
-0.16007322072982788,
-0.059952326118946075,
0.3725664019584656,
-1.1535158157348633,
-0.04080772027373314,
0.8007100820541382,
-0.17139607667922974,
-0.318619966506958,
-0.3635091483592987,
-0.36732009053230286,
-0.6953929662704468,
-0.205877929925... |
You will be given a definition of a task first, then some input of the task.
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
... | sadness | 1 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.23945386707782745,
0.10810129344463348,
0.3089948892593384,
-0.3993528485298157,
-0.03755553439259529,
-0.27154892683029175,
1.4015135765075684,
0.3283997178077698,
0.33982425928115845,
-0.01966669037938118,
-0.6138821840286255,
-0.2722044587135315,
-0.19490161538124084,
-0.245172962546... |
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.
Example input: [7, 1, 5, 8, -4]
Example output: [6, 4, 3, 12]
Example explana... | [89, 37, 95, 119, 16, 64, 23, 8, 38, 4, 73, 49] | 3 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.4790486991405487,
0.6396075487136841,
-0.609886646270752,
-0.15851175785064697,
-0.31262218952178955,
-0.39421194791793823,
0.9925975799560547,
0.4128798842430115,
0.5272341966629028,
-0.38074153661727905,
0.034332048147916794,
-0.10137325525283813,
-0.11460308730602264,
0.0538132861256... |
Q: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given parag... | His community service is increased. | 7 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.1921209841966629,
0.5339486002922058,
0.24954205751419067,
-0.2216896414756775,
0.5484888553619385,
-0.6247620582580566,
-0.1534022092819214,
1.07881760597229,
0.22467906773090363,
0.08920358866453171,
-0.6197038888931274,
0.8103729486465454,
0.3030536472797394,
0.2261633574962616,
0.1... |
Teacher: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion',... | No emotion,No emotion,No emotion,No emotion | 2 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.3871084153652191,
-0.1341223567724228,
-0.24044735729694366,
-0.5746175050735474,
0.03829808533191681,
-0.6872272491455078,
0.7542780637741089,
0.4391910433769226,
-0.16832847893238068,
-0.009441882371902466,
-0.4311832785606384,
-0.46357160806655884,
-0.6352032423019409,
-0.179896324872... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True
| 0 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.12056964635848999,
0.13562506437301636,
-0.06131229177117348,
-0.18381540477275848,
0.05891168862581253,
-0.1260349154472351,
0.9681805372238159,
0.5728790163993835,
0.3570055663585663,
0.157928466796875,
-0.17369884252548218,
-0.22797775268554688,
-0.8433043360710144,
0.2308073788881302... |
Instructions: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Input: passage: Barrogill Castle was in a semi-derelict state when, in 1952, the estate was purchased by Queen Elizabeth The Queen Mother, the widow o... | Yes | 3 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.8259825706481934,
0.838132381439209,
-0.44065284729003906,
-0.4627019464969635,
-0.2860786020755768,
-1.1442897319793701,
0.9355592727661133,
0.6595349311828613,
0.14218464493751526,
-0.22420978546142578,
0.42141789197921753,
0.4069676399230957,
-0.787205696105957,
-0.22415192425251007,
... |
instruction:
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
question:
name[xname], cuisine[Fast Food], rating[average], location[riverside], familyFriendly[no]
answer:
At the riverside, xname is... | Because xname is a French restaurant with satisfying staff. It is in the Upper West Side with adequate food, it is one of my favourite places.
| 9 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.3505988121032715,
0.40873488783836365,
-0.535942792892456,
-0.2676617205142975,
-0.20665404200553894,
0.1377590000629425,
0.013347536325454712,
0.593393087387085,
0.138683021068573,
-0.12643110752105713,
0.6208504438400269,
-0.602591872215271,
0.03783230483531952,
-0.27022358775138855,
... |
Detailed Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Q: Abstract: MOTIVATION The processing of the Affymetrix GeneChip data has been a recent focus for data analysts. A... | yes | 9 | NIv2 | task1587_scifact_classification | zs_opt | [
-0.6330482959747314,
-0.8964601755142212,
-0.20676951110363007,
0.34704697132110596,
0.8404247760772705,
-2.023132085800171,
0.33147960901260376,
1.3102068901062012,
-0.41799959540367126,
0.35627061128616333,
-0.7614272236824036,
0.47161048650741577,
-0.4362291693687439,
0.9049993753433228... |
This task is to translate the English language Input to Telugu Language Output
For more details, please leave your message or send email to us and we will be in touch within 12 hours. | మరిన్ని వివరాలకు, దయచేసి మీ సందేశాన్ని వదిలి లేదా మాకు ఇమెయిల్ పంపండి మరియు మేము 12 గంటల్లో టచ్ ఉంటుంది. | 0 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.3879903554916382,
0.863422155380249,
0.3592400550842285,
-0.11837136745452881,
0.20433759689331055,
-0.32873693108558655,
-0.06222408264875412,
-0.45304715633392334,
-0.1166861355304718,
-0.4870501756668091,
0.4160720109939575,
0.3935147523880005,
0.1480819582939148,
-0.0016379582230001... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. 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 c... | The men are standing for a picture. | 6 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.24324768781661987,
0.5527535080909729,
0.8655866384506226,
-0.569860577583313,
0.19809935986995697,
-0.5979180335998535,
-0.435320109128952,
1.0087884664535522,
0.3632378578186035,
-0.20645365118980408,
-1.000190019607544,
-0.5891207456588745,
-0.7162912487983704,
-0.6002556681632996,
... |
Part 1. Definition
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Part 2. Example
She shone her light around the space, fo... | Present | 7 | NIv2 | task429_senteval_tense | fs_opt | [
-0.32674580812454224,
0.8816521167755127,
0.3456284999847412,
-0.13597160577774048,
0.2505165934562683,
-0.030167076736688614,
0.47632455825805664,
1.1711925268173218,
0.2404705435037613,
-0.1898929625749588,
-0.49352511763572693,
0.14810776710510254,
-0.8953210711479187,
-0.34931716322898... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(th... | NEG | 1 | NIv2 | task477_cls_english_dvd_classification | fs_opt | [
0.010059639811515808,
0.37947574257850647,
-0.675521194934845,
0.4299458861351013,
0.06469553709030151,
-0.14859139919281006,
1.1244726181030273,
0.5851698517799377,
0.4755474627017975,
0.5418395400047302,
-0.5680280923843384,
-0.05050836130976677,
-0.4183603525161743,
-0.1832786202430725,... |
Detailed Instructions: In this task, you're given a passage, 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'.
Problem:Passage: On Marc... | Answer: Jeff Bridges | 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.2823724150657654,
0.6925334334373474,
-0.38898593187332153,
0.1442214697599411,
0.510067343711853,
-0.1138601154088974,
-0.023405887186527252,
0.4621313810348511,
0.05721838027238846,
0.2678617238998413,
0.26373711228370667,
0.5697277784347534,
-0.7117089033126831,
-0.572789192199707,
... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
[Q]: چگونه می توانم انگلیسی را بدون نقص صحبت کنم؟ <sep> چطور می توانم بدون هیچ مربیگری انگلیسی روان صحبت کنم؟
... | not-paraphrase
| 5 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.5087986588478088,
0.5296502113342285,
0.5380433797836304,
-0.4926075339317322,
-1.1140196323394775,
-0.015595600008964539,
1.2348217964172363,
0.4720383584499359,
0.182947039604187,
-0.36367446184158325,
-0.42802363634109497,
-0.29552316665649414,
-0.5925382375717163,
0.4118509888648987... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Example input: The ... | skin | 3 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.01811918243765831,
0.7563170194625854,
0.06439046561717987,
-0.49726706743240356,
-0.7456864714622498,
-0.46956467628479004,
0.8980674743652344,
0.09025560319423676,
-0.14656966924667358,
0.1831364780664444,
0.24282628297805786,
0.3164677619934082,
-0.2651275396347046,
0.4828912615776062... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Q: Sentence 1: GAO also expects that it will receive full and timely access to agency officials ... | 1 | 4 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.6539309024810791,
0.3505615293979645,
0.5127232670783997,
-0.6589013338088989,
-0.03648414462804794,
-0.1470273733139038,
-0.1297694742679596,
0.6256217360496521,
-0.5230776071548462,
0.1270613819360733,
-0.5819954872131348,
-0.7063047885894775,
-0.36195236444473267,
-0.1904123127460479... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
There are simply not enough schools, water systems, sanitation.
Simplemente no hay suficientes escuelas, sistemas de agua, saneamiento.
This story began four years ago.
Este historia empieza hace 4 años.
He has been orph... | Se había quedado huérfano porque sus padres habían muerto de SIDA y su abuela lo cuidó hasta que también él murió de SIDA.
| 0 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
0.11501850187778473,
0.9083913564682007,
0.03749660402536392,
-0.7980141639709473,
-0.1043277233839035,
-0.3838613033294678,
-0.297238290309906,
1.7400786876678467,
-0.8607859015464783,
-0.04487599804997444,
0.08782505989074707,
-0.19240286946296692,
-0.44036510586738586,
-0.40646126866340... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Veamos si podemos usar esta técnica para ayudar pacientes con depresión.
Student: | و دعنا نرى إن كنا نستطيع استخدام هذه التقنية لمساعد مرضى الاكتئاب هؤلاء | 6 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.41562288999557495,
0.2516869902610779,
0.029208479449152946,
-1.4406472444534302,
0.0293380469083786,
-0.12168660014867783,
1.204658031463623,
0.7347636818885803,
1.098923921585083,
-0.2861151099205017,
-0.350726842880249,
-0.006285670213401318,
-0.027874236926436424,
-0.245938435196876... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Example Input: That would be your mean level of challenge and skill, which will be different from that of anybody else.
Example Output: Si tratta del livello medio di sfida ed abilità, che è diverso da quello di chiunque a... | In natura, il genitore Bonobo è solito pulire i suoi figli.
| 3 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.2073861062526703,
0.1382020115852356,
0.16011393070220947,
-0.006525734439492226,
0.05080213397741318,
0.09954617917537689,
0.5217557549476624,
0.6436030864715576,
0.008538982830941677,
-0.4080198109149933,
-0.2941204607486725,
0.68084716796875,
-0.8779652118682861,
0.42458128929138184,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | look left twice and walk around right
| 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.2793107032775879,
0.694602370262146,
-0.6109534502029419,
0.29408156871795654,
-0.10779935121536255,
0.28626561164855957,
-0.015048734843730927,
0.7213519215583801,
-0.20414015650749207,
-0.21330000460147858,
-0.7961138486862183,
-0.31532132625579834,
-0.6466442346572876,
-0.086323335766... |
Detailed Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Problem:Abstract: Recent studies suggest a close relationship between cell metabolism and apoptosis. We have evalua... | no | 8 | NIv2 | task1587_scifact_classification | zs_opt | [
0.29250428080558777,
0.19431793689727783,
-0.5453736782073975,
0.7561447620391846,
0.1100299209356308,
-0.5753317475318909,
0.19745492935180664,
0.500571072101593,
-0.027493614703416824,
0.46745556592941284,
-0.7448045015335083,
-0.7276382446289062,
-0.7808151245117188,
0.02861490473151207... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប... | アメリカの大統領候補ジョン・マケインは東ヨーロッパにミサイル防衛システムを作るという米国の提案を正当化するものだと示唆した一方、彼の敵バラク・オバマはイランのミサイル・プログラムを「大きな脅威」と言った。 | 6 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.22645998001098633,
0.6876926422119141,
-0.6051574945449829,
0.6793681383132935,
-0.24952402710914612,
-1.0290073156356812,
0.014713285490870476,
0.8301481008529663,
0.23431496322155,
-0.28833460807800293,
-0.817324161529541,
0.5599638223648071,
-0.6878271102905273,
0.24924466013908386,
... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: consumer product
Words: fearful, content, merchandise, shop, program | fearful | 0 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.4147613048553467,
0.19843420386314392,
-0.05007362365722656,
-0.15983715653419495,
0.26355934143066406,
0.19448000192642212,
0.3213069438934326,
0.25251877307891846,
-0.2093813568353653,
0.043832018971443176,
-0.7751036882400513,
-0.3171907365322113,
-1.1632262468338013,
-0.5365500450134... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Później przechodzi huragan, a dom jest w lepszym stanie, niż by był normalnie.
Output: | Logo chega o furacán, e a casa está en mellor condición do que estaría normalmente. | 2 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
0.12250339239835739,
0.9761808514595032,
-0.4797174334526062,
-0.588071346282959,
-0.05933971330523491,
-1.4757697582244873,
-0.22359713912010193,
0.4209313988685608,
-0.37690505385398865,
-0.21068939566612244,
-0.24213270843029022,
0.7005991339683533,
-0.48024559020996094,
0.1658668518066... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | unacceptable
| 3 | NIv2 | task616_cola_classification | fs_opt | [
-0.08169807493686676,
0.6054028868675232,
0.6674940586090088,
-0.16368363797664642,
-0.010665656998753548,
-0.9246693849563599,
0.6756502389907837,
0.2066730558872223,
0.358306348323822,
-0.09422573447227478,
-1.127662181854248,
-0.1490364372730255,
-0.39164939522743225,
-0.159170508384704... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: و کاری که من می خواستم انجام بدهم نظر به این که من به عنوان یک تصویر ساز پزشکی تعلیم دیده ام — و با توجه به اینکه پویا نمایی را از پدرم آموختم ، که یک مجسمه سا... | ولقد حاولت أن أفهمها من أن أخذت تدريبي كرسام طبي — منذ أن علمني والدي الرسوم المتحركة ، الذي كان نحاتاً ومعلمي في البصريات — أردت معرفة الطرق لمساعدة الناس لفهم الحقيقة والجمال في العلوم الإحيائية بإستخدام الرسوم المتحركة ، بإستخدام الصور ، بسرد القصص. اذاً تلك هي الأشياء التي ليست بالضرورة واضحة للناس يمكن أن تخرج ، و... | 6 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-1.102091670036316,
0.2190968543291092,
0.14951905608177185,
-0.6375849843025208,
-0.6019182205200195,
0.3447696268558502,
0.5878687500953674,
0.7517086863517761,
0.0924564003944397,
-0.04080280661582947,
-0.3982629179954529,
0.08683207631111145,
-0.4550766348838806,
0.23155605792999268,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal
| 7 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.4317747950553894,
0.14080928266048431,
0.3019908368587494,
0.25307533144950867,
-0.2972832918167114,
-0.07624660432338715,
0.153158500790596,
-0.12398971617221832,
-0.1753455400466919,
0.012227214872837067,
-0.09539055824279785,
-0.09952198714017868,
-0.3632600009441376,
-0.459723412990... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: ਇਹ ਉਹ ਸੱਚ ਹੈ ਜੋ ਬੰਗਾਲ ਦੇ ਲੋਕਾਂ ਨੂੰ ਚਿੰਤਨ ਮਨਨ ਦੇ ਉਸ ਪੱਧਰ 'ਤੇ ਲੈ ਜਾਂਦਾ ਹੈ ਜਿੱਥੇ ਪਹੁੰਚਣਾ ਮੁਸ਼ਕਿਲ ਹੁੰਦਾ ਹੈ। ਇਹ ਉਹ ਸੱਚ ਹੈ ਜਿਸ ਕਾਰਨ ਬੰਗਾਲ ਨੇ ਸਦੀਆਂ... | نئی دہلی،11 اکتوبرمرکزی وزارت داخلہ نے چنڈی گڑھ میں انتظامیہ کو مشورہ دیا ہے کہ اس نوٹیفکیشن پر عمل کرے، جو دلی حکومت کی طر ف سے جاری کیا گیا ہے، جس میں مرکز کے زیر انتظام علاقے چنڈی گڑھ میں دو پہیوں والی گاڑی یعنی اسکوٹر یا موٹر سائیکل چلانے کے دوران سکھ خواتین کو ہیلمیٹ پہننے سے مستثنیٰ رکھا گیا ہے۔ | 3 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
-0.5784585475921631,
0.5898134708404541,
-0.7977248430252075,
-0.09680923074483871,
-0.4773041307926178,
-0.9987421631813049,
0.820249617099762,
0.614635705947876,
-0.18773910403251648,
0.36709579825401306,
-1.381644606590271,
0.4739209711551666,
0.3500438928604126,
0.36660560965538025,
... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: Recurrent Neural Networks have long been the dominating choice for sequence modeling. However, it severely suffers ... | This paper proposes an effective generic sequence model which leverages the strengths of both RNNs and Multi-head attention. | 4 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.7657808065414429,
0.3928874135017395,
-0.01525789499282837,
0.05611542612314224,
0.021608028560876846,
0.37989288568496704,
0.32549577951431274,
1.0814900398254395,
0.05705062672495842,
-0.04814639315009117,
-0.7756329774856567,
-0.29402270913124084,
-0.2872883975505829,
0.4476214945316... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Problem:Ognuno di noi ha un sé, ma non credo che nasciamo così.
Solution: | Cada um de nós tem um Eu, mas não acho que nascemos com um eu definido. | 8 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.562721848487854,
1.2967138290405273,
-0.1714726835489273,
0.35679805278778076,
-0.756968080997467,
-0.6377930045127869,
-0.03297042474150658,
1.1742408275604248,
0.3162235915660858,
0.27693045139312744,
-0.028269264847040176,
0.3916727304458618,
-1.2469041347503662,
0.14853346347808838,... |
Q: Given a sentence in Chinese, generate a new Chinese 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 i... | 您可能会在种族中建立焦点 。 | 7 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.47502952814102173,
0.38242214918136597,
-0.10948054492473602,
-0.5206552743911743,
-0.16662335395812988,
-0.1206950694322586,
0.13919425010681152,
0.6658290028572083,
0.35759544372558594,
-0.3337934613227844,
-0.5379008054733276,
0.1252431720495224,
0.2740088105201721,
0.336426913738250... |
Teacher:Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: រង្វាស់រង្វាល់ច្រើនប្រភេទបានផ្ដល់ឱ្យមានការប៉ាន់ស្មានដ៏ប្រសើរមួយនៃម៉ាស-ដង់ស... | 100億年前の宇宙における、原子核とイオンを構成する中性子と陽子である重粒子の質量密度を、様々な測定により上手く見積もっている。 | 6 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.41289958357810974,
0.3870950937271118,
-0.3794872462749481,
-0.5593222379684448,
-0.5629428625106812,
-1.5727249383926392,
0.3516409695148468,
0.3983439803123474,
-0.17728576064109802,
-0.13421428203582764,
-0.19277994334697723,
0.3720521330833435,
-1.2770369052886963,
0.066042713820934... |
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