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 |
|---|---|---|---|---|---|---|
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Mi paciente Fernando, está afligido.
A: | خب یکی از بیمارانم به نام فرناندو ، مبتلا به این رنج شده. | 7 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.48429998755455017,
0.37391674518585205,
-0.0294954814016819,
-1.1315997838974,
-0.017658766359090805,
-0.3372431993484497,
0.7678316831588745,
0.6812292337417603,
0.8475943207740784,
0.07968658208847046,
-0.3068162798881531,
0.23340877890586853,
-0.5681036114692688,
0.7945562601089478,
... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Q: System Reference: there are 4 expensive restaurants where kids are allowed.
Ori... | 1 | 4 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.08379801362752914,
1.1578691005706787,
-0.47274306416511536,
0.12666763365268707,
-0.47673824429512024,
0.21046102046966553,
1.2802280187606812,
0.6511406898498535,
-0.011962225660681725,
-0.2268780916929245,
-0.055637843906879425,
0.539947509765625,
-0.6036834716796875,
-0.195009812712... |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Input: C... | Output: B
| 2 | NIv2 | task329_gap_classification | fs_opt | [
0.29236936569213867,
0.39910078048706055,
-0.49949872493743896,
-0.0729229599237442,
-0.15529239177703857,
-0.2667275369167328,
0.6707273721694946,
0.6828004121780396,
0.038796525448560715,
0.6223904490470886,
-0.09046950936317444,
0.5312621593475342,
-0.07903162389993668,
0.05211777240037... |
Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Input: (A) hitting my brother with a Beanie
(B) shouting at my partner for poking my for... | B | 3 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
0.1070469319820404,
0.8427853584289551,
0.206927090883255,
-0.39395666122436523,
-0.5593427419662476,
-0.030851952731609344,
0.009296461008489132,
0.1911032348871231,
0.27045780420303345,
0.20786181092262268,
-0.44441038370132446,
0.2578853964805603,
-0.11596979945898056,
-1.00213932991027... |
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીએ ભૂતપૂર્વ પ્રધાનમંત્રી શ્રી લાલ બહાદુર શાસ્ત્રીને એમની પુણ્યતિથિ પર શ્રદ્ધાંજલિ અર્પણ કરી હતી.
Outp... | భారతదేశ పూర్వ ప్రధాని శ్రీ లాల్ బహాదుర్ శాస్త్రి వర్ధంతి సందర్భంగా ప్రధాన మంత్రి శ్రీ నరేంద్ర మోదీ శ్రద్ధాంజలి ఘటించారు. | 3 | NIv2 | task1013_pib_translation_gujarati_telugu | zs_opt | [
-1.3794353008270264,
0.09196829795837402,
-0.21647557616233826,
-0.04190833494067192,
0.10504963994026184,
-1.596778154373169,
0.7270421981811523,
-0.34829503297805786,
0.2550862729549408,
-0.7187002897262573,
-0.4169723391532898,
-0.21463800966739655,
-0.3793069124221802,
0.68088722229003... |
Q: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, ... | [7.0, 36.5, 16.0, -15.0, -30.0, -46.5] | 7 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.6509093046188354,
0.14045387506484985,
-0.7601784467697144,
-0.5541595220565796,
-0.15908415615558624,
0.21827906370162964,
0.9315832853317261,
0.34868818521499634,
0.005892658606171608,
-0.3312646448612213,
-0.4254186153411865,
-0.21263745427131653,
-0.05873190239071846,
0.425368845462... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Q: ['D', '7039']
A: 1
****
Q: ['p', '7819', 'T', 'n', '9149', 'Q', '9395', ... | 12
****
| 4 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.11083705723285675,
0.4923245310783386,
-0.23637768626213074,
-0.3981921374797821,
-0.3678492307662964,
-0.5252602696418762,
0.8424168825149536,
0.40815073251724243,
-0.8188672661781311,
0.656822144985199,
-0.4599723219871521,
-0.05270905792713165,
-0.05001227557659149,
0.0030320044606924... |
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... | Yes
| 6 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.2568110227584839,
0.28029119968414307,
0.2957395613193512,
0.15127673745155334,
-0.5260539054870605,
-1.1625921726226807,
0.5010140538215637,
0.636787474155426,
-0.5211158990859985,
-0.20569711923599243,
-0.5816288590431213,
-0.6253145933151245,
-0.8261181116104126,
0.1168828010559082,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Existen 4 grandes conferencias sobre construcción de artefactos del tamaño de una glóbulo, hay muchos experimentos en animales.
A: | There are four major conferences on building blood cell-sized devices; there are many experiments in animals. | 9 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.5485165119171143,
0.624114453792572,
0.12443094700574875,
-0.29125428199768066,
-0.3094518780708313,
-0.2742278575897217,
-1.1647030115127563,
0.4907955527305603,
-0.5790565013885498,
-0.824928879737854,
0.3521711230278015,
0.2909126877784729,
0.18440774083137512,
0.33085495233535767,
... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | 77.913 | 0 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.41518497467041016,
0.34896793961524963,
-0.09486622363328934,
0.44052615761756897,
0.11107398569583893,
-0.49282270669937134,
0.9036145210266113,
1.2106132507324219,
-0.016998719424009323,
-0.1381809562444687,
-0.5566356182098389,
-0.2391551285982132,
-0.16022410988807678,
-0.07821464538... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
I think there's nothing like a crisis to tell you what's really important and what's not, and Sandy made me realize that our devices and their connectivity matter to us right up there with food and shelter.
A: | Eu penso que, não há como uma crise para nos dizer o que é verdadeiramente importante e o que não o é, e o Sandy fez-me ver a importância que os nossos aparelhos e a sua conectividade têm para nós é bem alta, ao nível da comida e abrigo. | 7 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.32705050706863403,
1.0841022729873657,
0.041771918535232544,
-0.35861945152282715,
-0.979478120803833,
-0.8776240944862366,
0.2183491289615631,
0.7327243685722351,
-0.15084657073020935,
0.17384180426597595,
0.3539244532585144,
0.047242920845746994,
-0.515156090259552,
-0.0361821651458740... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Q: Title: Phone. Sentence 1: Ben is a very clumsy boy. Sentence 2: He always dropped things. Sentence 3: One day Be... | Forgetting his phone was in his lap, so it fell and broke. | 4 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.7703437805175781,
1.25690758228302,
-0.01463679876178503,
-0.9799786806106567,
-0.190888911485672,
0.0873786062002182,
0.569571852684021,
0.12202329933643341,
-0.08318431675434113,
-0.24971860647201538,
-0.922356128692627,
0.5512590408325195,
-0.1404176950454712,
0.2642691135406494,
-... |
Part 1. Definition
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There i... | A | 7 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.6401685476303101,
0.4845840036869049,
-0.8896505832672119,
-0.20029237866401672,
-0.20998919010162354,
-0.4491422176361084,
0.3342011868953705,
0.15014852583408356,
0.12828633189201355,
-0.38568609952926636,
-0.676712155342102,
0.48086100816726685,
-0.012925887480378151,
-0.1676408797502... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Your behaviour stems from your own prejudices, you are dispensing with any form of political debate and you ... | Usted actúa basándose en sus propios prejuicios, renuncia a todo debate político y actúa exactamente con el estilo que usted alega combatir. | 4 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.2376711219549179,
0.677906334400177,
0.3487016558647156,
-0.5155506134033203,
-0.2483195662498474,
-0.8629053235054016,
0.6090707778930664,
0.6669267416000366,
-0.22130079567432404,
-0.11983892321586609,
-0.6095638275146484,
0.3238278031349182,
-1.0912985801696777,
0.034529298543930054,... |
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', 'surpris... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 3 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.7136393785476685,
0.2815783619880676,
-0.6616107225418091,
0.12847140431404114,
0.19704586267471313,
-0.4440009593963623,
0.9207415580749512,
0.2938987612724304,
0.054313965141773224,
0.18554985523223877,
-0.24299246072769165,
-0.31643545627593994,
-0.5679882764816284,
0.1692617088556289... |
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.
Q: calm ... | calm Antonym stress | 4 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.4039304852485657,
1.3803014755249023,
0.03864318132400513,
-0.8582873344421387,
-0.4354932904243469,
-0.9747108817100525,
0.9293769598007202,
0.3334670662879944,
0.7463643550872803,
-1.0259567499160767,
-0.5567825436592102,
0.5215907096862793,
-1.0202115774154663,
-0.22742775082588196,
... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Input: إنه فهم لماذا يهتمون.
Output: | É compreender porque a têm. | 2 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.25976812839508057,
-0.13134142756462097,
-0.06398870795965195,
-0.41128140687942505,
-0.41603177785873413,
-0.17162774503231049,
0.07705900073051453,
-0.5564948916435242,
1.0312211513519287,
-0.20913848280906677,
-0.9939377903938293,
0.06501761078834534,
-0.35664451122283936,
0.34218451... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | WSSrcBOIwjLwgedghhjlmoostvwxyzoBpzW, uibiFBmGCOzdghhjlmoostvwxyzaz | 4 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.1670374572277069,
0.16880729794502258,
-0.4855923056602478,
-0.30442556738853455,
0.049019705504179,
-0.11999494582414627,
0.5948787927627563,
0.10992982983589172,
0.15948937833309174,
0.3474573493003845,
-0.9008380770683289,
-0.12094452977180481,
-0.1995462328195572,
0.2921816110610962,... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: What did the army troop want to arrest Quigley for?, Answer: Murder | 0 | NIv2 | task182_duorc_question_generation | zs_opt | [
1.0314908027648926,
0.1295919120311737,
-0.5094611644744873,
-0.40399447083473206,
0.4068298041820526,
-0.08391845226287842,
1.178340196609497,
0.9977692365646362,
-0.12035468220710754,
0.018094751983880997,
-0.04605364426970482,
0.6410114169120789,
-0.7045224905014038,
0.08974114060401917... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | blue_cupboard | 9 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.28768807649612427,
0.1374538093805313,
-0.19932743906974792,
-0.04031781107187271,
-0.16660931706428528,
-0.5629666447639465,
0.18837842345237732,
0.7681102752685547,
0.17781803011894226,
-0.1711164265871048,
-0.033609673380851746,
0.5307156443595886,
0.12380718439817429,
0.0750334784388... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Example: このアイデアはとてもシンプルで
Example solution: A ideia é muito, muito simples.
Example explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: 枠の中に字幕が出たら魔法のように言... | Solution: Colocamos as palavras numa janela e fazemos a magia. | 5 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.2146318107843399,
0.8350409269332886,
0.41131338477134705,
-0.5993865728378296,
-0.18693144619464874,
-0.9652824401855469,
0.6091935038566589,
0.7105026841163635,
0.14822286367416382,
-0.6602632403373718,
-1.0137220621109009,
-0.24985039234161377,
-0.7240023612976074,
0.1227266788482666... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
PROBLEM: A bóla está dirixida por tres rodas especiais que lle permiten moverse en calquera dirección e tamén moverse sobre o seu eixe ao mesmo tempo.
SOLUTION: La sfera è guidata da tre ruote speciali c... | (Battono le mani) (Risate) Perché non tutti insieme? (Risate) Perché non sapevate quando partire.
| 8 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.35978955030441284,
0.7114465236663818,
0.02574319578707218,
-0.452598512172699,
-0.2820999026298523,
0.20887506008148193,
0.6180353164672852,
0.23036456108093262,
-0.7201402187347412,
-0.31992945075035095,
-0.43417248129844666,
0.41684454679489136,
-0.05033751204609871,
0.63876378536224... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
เขายังได้อ้างด้วยว่า มีชายที่ไม่เคยรู้จักมาหาที่ประตูบ้าน ซ้ำยังพูดกับเขาว่า "พ่อหนุ่ม เรามีอาวุธปืนเหมือนพวกคุณมี แต่เรามีมากกว่านั้น" และพูดหลังจาก... | マグニチュード7.7の海底地震が致命的な波を引き起こし、ジャワの南沿岸を200kmにわたり破壊した。
| 0 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.3189481496810913,
0.3172692656517029,
-0.267754465341568,
-0.7078813910484314,
-0.07982346415519714,
-0.9876588582992554,
1.0162907838821411,
0.5293371677398682,
-0.19119752943515778,
-0.18916679918766022,
-0.6396653056144714,
0.6704418659210205,
-1.2166087627410889,
-0.00956257339566946... |
Given a sentence in English, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Q: The 2007 -- 08 Kansas State Wildcats Men 's Basketball Team represents Kansas State University at the 2007 -- 08 College - Basketball - Season .
A: | 2007 - 08年度のKansas State Wildcats男子バスケットボールチームは、2007 - 08年度の大学バスケットボールシーズンにカンザス州立大学を代表しました。 | 4 | NIv2 | task782_pawsx_english_japanese_translation | zs_opt | [
-0.18369227647781372,
0.6881163716316223,
-0.36925750970840454,
-1.020016074180603,
-0.08783343434333801,
-0.2590233087539673,
0.3804236054420471,
-0.1465858519077301,
0.23403559625148773,
-0.21296775341033936,
0.6795451641082764,
0.4076586961746216,
-0.39665818214416504,
0.244070053100585... |
Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili... | एक वेश्या के लिए एक प्रार्थना आप सेना में शामिल होना चाहते हैं । | 3 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.8649721145629883,
0.6992996335029602,
-0.3373544216156006,
-0.015462102368474007,
-0.24099940061569214,
-0.38133901357650757,
0.5895508527755737,
0.6064740419387817,
0.016382869333028793,
-0.6578127145767212,
-1.0246399641036987,
-0.3440304398536682,
0.26626068353652954,
0.0609309151768... |
Instructions: You are given a statement written in Gujarati. 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 .
Input: Statement: સાકરીયા (તા. બાલાસિનોર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગ... | ભારત | 3 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.3444061577320099,
0.662394642829895,
0.16987375915050507,
0.2381860762834549,
-0.2257242351770401,
-0.42677801847457886,
0.34207016229629517,
1.1355968713760376,
-0.33420488238334656,
0.022527266293764114,
-0.31539013981819153,
0.432888925075531,
-0.06451981514692307,
-0.2799777984619140... |
Given the task definition and input, reply with output. 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 co... | Bad | 5 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.9423660635948181,
0.6438450813293457,
0.17894916236400604,
-0.0024216948077082634,
-0.36322489380836487,
-0.6385418176651001,
0.424407035112381,
-0.028184354305267334,
0.3815714418888092,
0.43205106258392334,
-0.16501832008361816,
0.6381376385688782,
-0.8515257239341736,
-0.146121561527... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | survive. | 8 | NIv2 | task041_qasc_answer_generation | fs_opt | [
-0.01597984880208969,
0.6649793386459351,
-0.14437797665596008,
0.36696869134902954,
-0.4251371920108795,
-1.5694400072097778,
0.1401648223400116,
0.5685926079750061,
-0.650821328163147,
-0.27444979548454285,
-1.3180179595947266,
0.562324583530426,
-0.7156865000724792,
0.05370703339576721,... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
See one example below:
Problem: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Solution: Pregunteille: "" É coma un soño? "" E dixo:... | Para converter estas 90.000 horas de vídeo opaco en algo que puidésemos comezar a ver, usamos análise de movemento para extraer, mentres nos movemos no espazo e no tempo, o que chamamos vermes espazo-tempo. | 4 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-1.088775396347046,
0.5547505617141724,
0.3031412959098816,
-0.4430154860019684,
-0.46965712308883667,
-0.017643418163061142,
0.2629278898239136,
0.19633057713508606,
-0.931336522102356,
-0.4501703977584839,
0.15095235407352448,
0.036083124577999115,
-0.8963080048561096,
-0.304486662149429... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Output: 第一にキリバス共和国が彼ら自身の利益になると理解したから... | 次のグループは国立水族館のイルカです | 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.5678129196166992,
0.1740291714668274,
-0.32076147198677063,
-0.057041317224502563,
-0.012896910309791565,
-0.238154798746109,
0.40970271825790405,
-0.07997030019760132,
0.04901360720396042,
-0.0756283700466156,
-0.2644529640674591,
-0.39621999859809875,
-0.1642461121082306,
0.01508965902... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: If I can make a literary commendation to the hono... | Om jag får rekommendera en bok till er, eftersom jag inser att ni är intresserad av dessa frågor, rekommenderar jag en bok om Tibet som gavs ut precis innan jul och som är skriven av den framstående journalisten Isabel Hilton. | 9 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.3683997392654419,
-0.11555641889572144,
0.250490665435791,
-0.16567523777484894,
0.6991907954216003,
-0.9210274815559387,
1.4044562578201294,
-0.33863168954849243,
0.09955495595932007,
-0.18600496649742126,
-0.0011465952266007662,
0.534276008605957,
-1.0418877601623535,
-0.0981882810592... |
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.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happin... | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt | [
-0.7975049018859863,
-0.6134058237075806,
0.7924419045448303,
0.44103312492370605,
0.9606366157531738,
-0.8694589138031006,
-0.2017914205789566,
0.36248913407325745,
0.4023686647415161,
0.8680249452590942,
-0.6409676671028137,
-0.6879587173461914,
-0.37558889389038086,
-0.3081561326980591,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
[EX Q]: （ ［ 不明瞭 ］ ） 質問はセカンドライフでは文化がうまく調整されて無かったと思います
[EX A]: (Audience: [Unclear].) JH: The question is, there appears to be a lack of cultural fine-tuning in Second Life.
[EX Q]: しかしこの子の心臓もまもなく止まりドーアはその男の子を海に帰さなければなりませ... | I'll just swim right through them.
| 6 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
-0.3883401155471802,
-0.33360743522644043,
0.10807999968528748,
-0.718707799911499,
0.0140957310795784,
-0.91869056224823,
-0.3435192108154297,
0.17184853553771973,
-0.5661986470222473,
-0.3731295168399811,
0.546340823173523,
-0.4686216711997986,
-0.7818421125411987,
-0.04376598447561264,
... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
One example: Problem: a multiple choice test consists of 4 questions, and e... | a | 6 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.47781676054000854,
-0.06216416507959366,
0.08392421156167984,
0.17421354353427887,
0.34704363346099854,
-0.06541156768798828,
-0.09784940630197525,
1.0942782163619995,
-0.28447529673576355,
-0.043341804295778275,
-0.39335009455680847,
0.12692590057849884,
0.5015138983726501,
-0.330700218... |
Teacher:In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Teacher: Now, understand the problem? Solve this instance: ['3743', '5831', 'g', 'G', '8707', 'Y', 'G', 'j', 'e',... | g, G, Y, G, j, e, y, C, B, H, G | 6 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.43842828273773193,
0.09565503150224686,
0.17227843403816223,
-0.5387020707130432,
0.1563100963830948,
-1.1697299480438232,
-0.010980581864714622,
0.014809150248765945,
-0.5811729431152344,
0.3090367615222931,
-0.5201628804206848,
-0.6473050117492676,
0.17100673913955688,
-0.296758562326... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
[EX Q]: PersonX pays PersonX's water bill
[EX A]: releiv... | fulfilled
| 6 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.03271302208304405,
1.0009491443634033,
-0.13010579347610474,
-1.0352065563201904,
-0.511267900466919,
-1.0184473991394043,
1.574392318725586,
0.6375343203544617,
0.2644680142402649,
-0.9056326150894165,
0.3756776452064514,
0.02926485985517502,
-0.8965407609939575,
0.34948641061782837,
... |
Part 1. Definition
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHER... | ¿Qué objetivo persiguen los autores del ataque según fuentes gubernamentales? | 7 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.7368587255477905,
0.7988061308860779,
-0.38941651582717896,
-0.22225883603096008,
-0.05755168944597244,
0.32234907150268555,
0.7900171279907227,
1.272166132926941,
0.07773268222808838,
-0.37792617082595825,
-0.5610753297805786,
0.9095897674560547,
-0.6060688495635986,
0.4810674786567688,... |
Detailed Instructions: In this task, we ask you to write an implausible answer to a question that involves "transient v. stationary" events, i.e., the understanding of whether an event will change over time or not. For example, the sentence "he was born in the U.S." contains a stationary event since it will last foreve... | the communist nation emerged from isolation. | 9 | NIv2 | task008_mctaco_wrong_answer_generation_transient_stationary | zs_opt | [
0.24844063818454742,
0.17067445814609528,
-0.021770691499114037,
-0.1291903555393219,
-0.23402032256126404,
-0.7447916269302368,
-0.30403855443000793,
0.5784248113632202,
0.07751443982124329,
0.20877879858016968,
0.21646258234977722,
-0.03291314095258713,
-0.821186363697052,
-0.11700227111... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Let me give you a... | 2, 3, 4, 7 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.1849443018436432,
0.004162800498306751,
-0.337572306394577,
-0.7895294427871704,
0.30273282527923584,
-0.09259264171123505,
1.154759407043457,
-0.011545605957508087,
-0.34364306926727295,
0.4078689217567444,
-0.849373459815979,
-0.12132419645786285,
-0.07584014534950256,
-0.056414574384... |
TASK DEFINITION: This task is about translating a given French language sentence to English.
PROBLEM: Ca m'a pris si lontemps juste pour me sentir bien
SOLUTION: It took so long just to feel alright
PROBLEM: Je veux que vous soyez capables de faire ces problèmes avant que vous compreniez les rouages de ce qui se fait... | He just looked back at me very warmly, but said no words.
| 8 | NIv2 | task1690_qed_amara_translation | fs_opt | [
0.11640800535678864,
0.5934346914291382,
0.6208717823028564,
-0.6160098910331726,
-0.21647311747074127,
-1.3948755264282227,
0.7958354949951172,
0.22281835973262787,
-0.005423542112112045,
-0.5696999430656433,
0.43098172545433044,
-0.08412489295005798,
-0.5818154811859131,
0.07728218287229... |
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.
Ex Input:
Who won the popular vote in 2017 presidential election?
Ex Output:
Who won the po... | What band sang a crazy little thing called love in 1979?
| 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.683289647102356,
1.1331439018249512,
-0.5388203859329224,
0.18750762939453125,
-0.2899543344974518,
-0.40413564443588257,
0.5699032545089722,
0.02575230598449707,
0.12757447361946106,
-0.36442670226097107,
-0.6933371424674988,
0.8260005712509155,
-0.6508786678314209,
0.5020939111709595,... |
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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A man does a trick
| 1 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.35991108417510986,
0.13470950722694397,
-0.02903704345226288,
-0.4463956654071808,
-0.22252494096755981,
-0.07777254283428192,
-0.4023366868495941,
1.0411620140075684,
0.49379485845565796,
-0.40530523657798767,
-1.3218919038772583,
-0.7482014894485474,
-0.12938036024570465,
-0.290388971... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | 18th place Latvia won 2 gold medals and 0 silver medals at the Military World Games. | 4 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.5659631490707397,
0.9140651822090149,
-1.0373554229736328,
-0.9769059419631958,
-0.23085863888263702,
-0.01187429390847683,
0.9365026950836182,
0.23850828409194946,
-0.46393460035324097,
-0.28946200013160706,
-0.8505866527557373,
0.5144004821777344,
-0.6456737518310547,
-0.0014499302487... |
Detailed Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the... | 32 | 9 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.1300259530544281,
0.24772559106349945,
-0.054567307233810425,
-0.5671907663345337,
-0.15772567689418793,
0.2587292492389679,
0.6744983792304993,
0.7348337173461914,
-0.09452211856842041,
-0.04285673797130585,
-0.16602861881256104,
-0.793118417263031,
-0.8911096453666687,
0.1309312283992... |
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.
Example: Lucifer how many episodes are in season 3?
Example solution: How many episodes of se... | Solution: How many episodes of season 5 hell on wheels in total? | 5 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.29678815603256226,
-0.10514654219150543,
0.026796463876962662,
-0.22478599846363068,
-0.1897847056388855,
-0.18034306168556213,
-0.13914230465888977,
-0.4408999979496002,
-0.33443331718444824,
-0.5320215225219727,
-0.5511621832847595,
0.44787344336509705,
-0.8182872533798218,
0.45049142... |
Generate a topic word for the given sentence. A topic word is usually the name of a person, place, animal, concept or object the sentence is focusing on.
a hapax legomenon is a word that is only occurs once in a corpus of text. | hapax legomenon | 0 | NIv2 | task645_summarization | zs_opt | [
0.6570894718170166,
0.15936553478240967,
0.1767260730266571,
0.18663062155246735,
-0.30802756547927856,
-0.6080087423324585,
0.323134183883667,
0.554915726184845,
-0.46136313676834106,
-0.7117644548416138,
-1.0577049255371094,
0.1702147275209427,
-1.0609629154205322,
0.6319080591201782,
... |
Detailed Instructions: 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... | run right after look opposite left | 8 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.2646638751029968,
1.0142829418182373,
-0.39340829849243164,
-0.004893999081104994,
-0.24153879284858704,
0.6256029605865479,
0.10892224311828613,
0.5092461109161377,
-0.48026248812675476,
-0.32054299116134644,
-0.7629170417785645,
-0.391679048538208,
-0.7538899183273315,
0.05036758631467... |
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 determ... | Yes | 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.40332794189453125,
0.18396973609924316,
-0.05725662782788277,
-0.14203330874443054,
-0.5488330721855164,
-0.8192009925842285,
1.061440110206604,
0.5530827045440674,
-0.6023783683776855,
-0.4454001486301422,
-0.48867127299308777,
-0.482308030128479,
-0.7604243755340576,
0.0753081440925598... |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.993928074836731,
0.2124677449464798,
0.43848657608032227,
0.5295848250389099,
-0.3556559681892395,
-0.9859569072723389,
0.5332070589065552,
1.265031099319458,
0.4890668988227844,
0.03451142460107803,
-0.10153314471244812,
0.1889529973268509,
-0.6500586271286011,
-0.4621310234069824,
0... |
TASK DEFINITION: You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
PROBLEM: Statement: కరసానపల్లె ఆంధ్ర ప్రదేశ్ రాష్ట్రం, చిత్తూరు జిల్లా, <MASK> మండలంలోని గ్రామం. ఇ... | ఈడూరు
| 8 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.45294830203056335,
0.49502938985824585,
-0.1118704155087471,
-0.2390642762184143,
0.04476150497794151,
-0.7792651653289795,
0.8354772925376892,
1.034599781036377,
-0.39017170667648315,
0.17032337188720703,
-0.35390204191207886,
-0.03462209179997444,
-0.2807161808013916,
-0.30643975734710... |
Given the task definition and input, reply with output. 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 opt... | C | 5 | NIv2 | task309_race_answer_generation | zs_opt | [
0.7531520128250122,
0.8605029582977295,
-0.577323853969574,
0.40555623173713684,
0.24286842346191406,
-0.14133524894714355,
0.29227131605148315,
0.4169453978538513,
-0.5551885962486267,
0.47037434577941895,
-0.4569091796875,
0.785892128944397,
-0.2775171995162964,
0.06325580924749374,
0.... |
Teacher:Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur befor... | True | 6 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
0.2276124656200409,
0.02656031772494316,
-0.9321150779724121,
-0.24237877130508423,
-0.07331174612045288,
-0.5066183805465698,
0.18263539671897888,
0.7547885179519653,
-0.6732610464096069,
0.06828902661800385,
-0.08757893741130829,
-0.11376937478780746,
-0.057234786450862885,
-0.5754065513... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['9239', '9733', '6729', 'v', '2093', '8829', 'n', '9133', '7613'] | 2 | 0 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.047233033925294876,
0.43274402618408203,
0.23252780735492706,
-0.38884538412094116,
-0.25521016120910645,
-0.24999436736106873,
0.7644520998001099,
-0.15693996846675873,
-0.44152384996414185,
0.12173298001289368,
-0.6673991680145264,
0.31421083211898804,
-0.19585928320884705,
-0.20014077... |
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 determ... | Yes | 9 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.865822434425354,
0.0428764633834362,
-0.08938510715961456,
-0.19146209955215454,
-0.12493187189102173,
-1.0894837379455566,
1.418771743774414,
0.6877896785736084,
-1.058358907699585,
-0.23856307566165924,
-0.5961254835128784,
-0.09648498147726059,
-0.8078196048736572,
0.2538757920265198,... |
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.
Ex Input:
Kristin told us all about the recent heartbreaking events.
Ex Out... | anger
| 1 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.43164029717445374,
0.05983811989426613,
0.24549496173858643,
-0.7528983354568481,
-0.4015917181968689,
0.00879612099379301,
0.6395067572593689,
0.6458902955055237,
0.47588762640953064,
-0.1557297259569168,
-0.7383471131324768,
-0.21496719121932983,
-0.5398440361022949,
-0.06745845824480... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest... | How many kingdoms are governed by [Elizabeth II]? | 0 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
1.0409190654754639,
0.2047887146472931,
-0.19260621070861816,
-0.519848108291626,
0.3295353055000305,
-0.8294605016708374,
-0.18644045293331146,
0.4907563626766205,
-0.3617652952671051,
-0.18766002357006073,
-0.08356896787881851,
0.30269941687583923,
-0.6418053507804871,
-0.083541303873062... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
One example is below.
Q: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tragedy. Right back at spewing #... | Not angry | 9 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.637768030166626,
0.13410624861717224,
0.9214597940444946,
-0.07467114925384521,
-0.1264246255159378,
-1.0795011520385742,
0.20389096438884735,
0.6343932151794434,
0.5132336616516113,
0.6613937616348267,
0.2197953462600708,
-0.12084054201841354,
-0.7162049412727356,
-0.49805378913879395,... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: 地方は政府のコントロールの外にあったので、援助は近隣のスーダンから運ばれた。
[A]: Sejak pedesaan tidak diawasi pemerintah, bantuan dibawa dari daerah yang berdekatan Suda... | Mereka mendesak agar para pelanggan mengurangi beban penggunaan tenaga listrik untuk menghindari gangguan layanan lebih lanjut.
| 5 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.5199258923530579,
0.5127663016319275,
-0.27263471484184265,
-1.234019160270691,
-0.4756823182106018,
-0.6739816069602966,
0.8870689868927002,
0.3585057556629181,
0.2893029451370239,
0.1907878965139389,
-0.6618237495422363,
0.8828938007354736,
-1.0361700057983398,
0.1365245133638382,
-... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Q: English sentence: 22 And the LORD shewed signs and wonders, great and sore, upon Egypt, upon Pharaoh, and upon all his household, before our eyes:
A: | 22 oo Rabbigu annagoo u jeedna ayuu Masar iyo Fircoon iyo reerkiisii oo dhan ku sameeyey calaamooyin iyo yaabab waaweyn oo adadag. | 9 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.5144935250282288,
1.4434243440628052,
0.16873736679553986,
-1.1220437288284302,
-0.09759986400604248,
-1.5806533098220825,
0.3889027237892151,
0.4916706085205078,
0.015400877222418785,
-0.2930484712123871,
-0.14767679572105408,
1.0437740087509155,
-1.4949666261672974,
-0.7322207689285278... |
Given the task definition and input, reply with output. Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Kinakain nang lubos ng alga ang sustansya, at sila ay natumpok ng akwatikong buhay o lumu... | 藻類が栄養分で生きており、水生生物によって消費されたり、ライフサイクルの終わりに沈んでゆく。 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-1.078303337097168,
0.41097700595855713,
0.2049279510974884,
-0.6711064577102661,
-0.18559202551841736,
0.03692968934774399,
0.5715821981430054,
-0.07987319678068161,
-0.29897546768188477,
-0.8151106834411621,
-0.4691111147403717,
0.1760956048965454,
-1.1529972553253174,
0.6791314482688904... |
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 ... | Yes | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.231002539396286,
0.5876062512397766,
0.1251922994852066,
-0.4186534583568573,
-0.7522224187850952,
-0.3207970857620239,
1.2769131660461426,
0.35084474086761475,
-0.736794114112854,
-0.40582582354545593,
-0.569191575050354,
-0.4317270815372467,
-0.6149755120277405,
0.5822709202766418,
0... |
Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: ポポフが誰かを知るや否や、同じ警察の一人によってされたと伝えられている行為への対応が受け身的で... | No | 3 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.37616559863090515,
-0.10559295862913132,
0.2553477883338928,
0.4499848484992981,
0.039357349276542664,
-0.6844306588172913,
0.3916073441505432,
-0.055406197905540466,
-0.035233743488788605,
0.09768866002559662,
-0.434688925743103,
0.6273829340934753,
-0.9194159507751465,
-0.130845516920... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Hello! I'd like information on the history of Dorset.
Hello. Dorset is a county in southern England. The Romans arrived in Dors... | Dorset | 1 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
0.6846383810043335,
-0.1462351232767105,
-0.2476751208305359,
0.17571032047271729,
0.11356161534786224,
-1.3543896675109863,
-0.09323765337467194,
0.9267771244049072,
-0.3234226703643799,
-0.1667110025882721,
0.6249358654022217,
0.48036128282546997,
0.1285095512866974,
-0.17924760282039642... |
Given the task definition, example input & output, solve the new input case.
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example: Expressing happiness in interacting with women from Self Help Gro... | ലോക സാമ്പത്തിക ഫോറത്തിന്റെ ആഗോള മത്സരക്ഷമതാ സൂചികയില് കഴിഞ്ഞ രണ്ടുവര്ഷം കൊണ്ട് നാം 31 സ്ഥാനം മെച്ചപ്പെടുത്തി. | 1 | NIv2 | task1021_pib_translation_english_malayalam | fs_opt | [
0.12385125458240509,
-0.17649604380130768,
0.030244646593928337,
-0.5476666688919067,
0.4864811897277832,
-0.030694063752889633,
0.18159423768520355,
0.25450852513313293,
-0.5044350624084473,
0.1924513876438141,
-0.6706889867782593,
0.25576022267341614,
-0.1933196783065796,
-0.084910579025... |
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).
Q: JTA reports that Jewish families moved into the homes shortly after the Pa... | जेटीए की रिपोर्ट है कि फिलिस्तीनी परिवारों को बेदखल करने के कुछ ही समय बाद यहूदी परिवार घरों में चले गए। | 4 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.14819006621837616,
0.9708399772644043,
0.1852569580078125,
0.9872501492500305,
0.32089370489120483,
-0.5002745389938354,
0.7002803087234497,
0.6444087624549866,
0.016750767827033997,
0.15826767683029175,
-0.034983668476343155,
0.38917750120162964,
-0.9670000076293945,
-0.349832087755203... |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Example Input: सीओपीडी और सीकेडी को रोकने और प्रबंधित करने के लिए और एनसीडी की वजह से होने वाली मौतों के लिए, इनमें दखल को एनपीसीडीसीएस के अंतर्गत शामिल किय... | मला आमंत्रित केल्याबद्दल आणि तुम्हा सर्वांना भेटण्याची संधी दिल्याबद्दल देखील मी फ्रान्सचे सरकार, राष्ट्राध्यक्ष मॅक्राँ आणि फ्रान्सच्या जनतेचे आभार मानतो.
| 3 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.04155517742037773,
0.5937733054161072,
-0.806861937046051,
-0.2385624647140503,
-0.2409813106060028,
-0.8563128709793091,
1.1038650274276733,
0.40215057134628296,
0.4935884177684784,
0.31639164686203003,
-1.0634621381759644,
-0.13355714082717896,
-0.245932936668396,
0.029142536222934723,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Example input: このアイデアはとてもシンプルで
Example output: A ideia é muito, muito simples.
Example explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
Q: ジェネリックが人気なんですね
A: | Eles preferem os genéricos. | 3 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.8873302340507507,
0.8805102109909058,
0.08340485394001007,
-1.0451158285140991,
-0.29937708377838135,
-1.4536793231964111,
0.3705548346042633,
0.37809979915618896,
0.2875654697418213,
-0.7558686137199402,
-1.1377687454223633,
0.1969510018825531,
-0.8810904622077942,
0.20795875787734985,... |
Detailed Instructions: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slat... | N | 8 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.3936094045639038,
0.540603756904602,
-0.015957564115524292,
-0.7021462917327881,
-0.11853808164596558,
0.13691988587379456,
0.41930389404296875,
0.47373533248901367,
0.3054991364479065,
-0.17290139198303223,
-0.6781516075134277,
0.2134317308664322,
-0.7248789668083191,
-0.15468239784240... |
Given the task definition and input, reply with output. Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Die Lucknow - Sitapur - Seramow Provincial State Railway wurde am 1. Januar 1891 mit der Bareilly -... | El ferrocarril estatal provincial de Lucknow - Sitapur - Seramow se fusionó con el ferrocarril estatal provincial de Bareilly - Pilibheet al ferrocarril de Lucknow - Bareilly el 1 de enero de 1891. | 5 | NIv2 | task804_pawsx_german_spanish_translation | zs_opt | [
-0.671645998954773,
1.2831330299377441,
0.682647705078125,
-0.47245511412620544,
-0.05218806117773056,
0.07742314040660858,
0.08708185702562332,
0.5332921743392944,
0.0444926843047142,
-0.5660238265991211,
0.12062876671552658,
0.236647367477417,
-0.12569862604141235,
0.6282819509506226,
... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b... | Output: attri
| 2 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.15812429785728455,
0.41350001096725464,
0.31245264410972595,
-0.053960323333740234,
-0.8338098526000977,
-0.20828872919082642,
-0.34922441840171814,
0.6348024606704712,
-0.07484357804059982,
-0.7055249810218811,
-0.795532763004303,
0.33873823285102844,
-0.7192940711975098,
0.106859952211... |
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.
[EX Q]: ['j', 'a', '29', 'y', 's', '107', '149', '499', '37', 'o', '289', 't']
[EX A]: 0, 1, 2, 3, 4, 7, 8, 9
[EX Q]: ['n', '149', 'z', '37']
[EX... | 5, 6
| 6 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.2401227504014969,
0.5289593935012817,
-0.682161271572113,
-0.7299134731292725,
-0.009139899164438248,
0.25403323769569397,
0.6088168621063232,
-0.08202341943979263,
-0.6062511205673218,
0.35148823261260986,
-0.5208920836448669,
0.20902541279792786,
-0.7167385816574097,
0.001424254616722... |
Given the task definition and input, reply with output. In this task, you are given an article. Your task is to summarize the article in a sentence.
It follows recent media reports suggesting Michael Beaumont might be open to the sale of the Fief of Sark in the future.
He said: "I will not sell the fief under any circ... | The Seigneur of Sark will not sell the island under any circumstances, he has said in a statement. | 5 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.2546035647392273,
0.6622622013092041,
-0.2593366205692291,
-0.9046603441238403,
-0.14681151509284973,
-0.6361796259880066,
0.7923163771629333,
0.11748915910720825,
-0.08516436815261841,
-0.27162665128707886,
0.20924432575702667,
0.9025400876998901,
-0.8916577100753784,
0.174452364444732... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjec... | Conj Pron N Art Adj N V Punc V Pron Adv Adv Adj V Punc | 8 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.5896700024604797,
0.8579562902450562,
-0.10763943940401077,
-0.21377697587013245,
-0.3145388960838318,
0.13916823267936707,
0.2371962070465088,
-0.02949509210884571,
0.27097833156585693,
-0.21357297897338867,
-0.5538959503173828,
0.7062534093856812,
-0.36969369649887085,
0.4147616624832... |
instruction:
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
question:
Sentence1: First Malia took down her art supplies. Sentence2: She visualized the beau... | Ralph was very pleased with his New Orleans trip.
| 9 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.2792836129665375,
0.5424162149429321,
-0.5112349987030029,
-0.561984121799469,
0.3290514051914215,
-0.6017974615097046,
0.4843601882457733,
0.7807120680809021,
-0.2258378565311432,
0.08395470678806305,
-0.21926595270633698,
0.027926139533519745,
0.2318960726261139,
-0.32549723982810974,... |
Detailed Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input ... | ["we're", 'in', 'the', 'National', 'Museum', 'of', 'Catalonian', 'Art', 'and', "we're", 'looking', 'at', 'their', 'incredible', 'collection', 'of', 'Romanesque', 'art.', 'This', 'is', 'work', 'that', 'was', 'brought', 'down', 'from', 'the', 'Pyrenees', 'from', 'various', 'Romanesque', 'churches', 'and', 'the', 'museum'... | 9 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.6783868074417114,
0.482158899307251,
-0.23386412858963013,
0.06702890992164612,
0.44402942061424255,
-0.9657803773880005,
-0.1341799944639206,
0.7444401979446411,
-0.12948182225227356,
0.557386040687561,
-0.08299148082733154,
-0.007356783375144005,
-0.07134894281625748,
-0.16717004776000... |
This task is about translating a given English language sentence to Yoruba language.
Example Input: Spreading rumors into the ears of the subject of the rumor brings disgrace to one.
Example Output: Sọ̀rọ̀ kí ọlọ́rọ̀ gbọ́, àbùkù ní ń fi kanni.
Example Input: He made the call in his address at the reception organised ... | Ìfẹsẹ̀wọnsẹ̀ ọlọ́rẹ̀ẹ́jọ̀rẹ́ ọ̀hún yóò wáyé ní ọ̀sẹ̀ méjì sí ìdíje FIFA bọ́ọ̀lù àgbááyé ọ̀hún.
| 3 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.05883967876434326,
0.7418346405029297,
-0.24657994508743286,
0.026663057506084442,
-0.47080785036087036,
-0.5872635841369629,
0.11080797016620636,
0.061750706285238266,
0.11661560833454132,
-0.6971151828765869,
-0.604333758354187,
0.6542387008666992,
-0.7914330959320068,
0.38443058729171... |
Q: In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'a black and white dog laying on a rug'. Replace the letter 'y' with 'w' in the sentence.
A: | a black and white dog lawing on a rug | 7 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.7724740505218506,
0.9192747473716736,
-0.04790478199720383,
-0.9843991994857788,
-0.19237688183784485,
-0.13449974358081818,
-0.6850554347038269,
0.6403497457504272,
0.5278894901275635,
-0.5564742684364319,
0.5218045711517334,
0.21663859486579895,
0.1473177671432495,
-0.5799300670623779... |
TASK DEFINITION: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
PROBLEM: I had never had gel nails before and eaten at the Tea Light Cafe when I noticed this ... | POSITIVE
| 8 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.17171788215637207,
0.23523080348968506,
-0.3818225860595703,
-0.24461455643177032,
0.4333292841911316,
0.30963581800460815,
0.4956759810447693,
1.0708428621292114,
-0.1531795859336853,
0.28670334815979004,
0.49922439455986023,
-0.03787041828036308,
-0.38899898529052734,
0.07494968175888... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: セミナーは、カリフォルニア州サンフランシスコに拠点を置くランドマークエデュケーションと呼ばれる... | Yes | 5 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.7869747281074524,
-0.03408890590071678,
0.07619549334049225,
-0.7355466485023499,
-0.29853588342666626,
0.010216426104307175,
0.6367877721786499,
0.6102749109268188,
-0.17362143099308014,
-0.7280875444412231,
0.26877719163894653,
0.4353340268135071,
-0.920761227607727,
0.610691308975219... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: يمكنك سماع قصة الأوركسترا ككيان مهنى
A: | Jest historia orkiestry, jako profesjonalistów. | 4 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.6368677020072937,
0.4662224054336548,
-0.7025163173675537,
-0.18105435371398926,
-0.07487226277589798,
-0.07576490938663483,
0.47799307107925415,
-0.561153769493103,
1.067405104637146,
-0.09307079017162323,
0.12633787095546722,
-0.5252888202667236,
0.6724934577941895,
0.3107966184616089... |
Detailed Instructions: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: ऑत-ऱ्हिन (Haut-Rhin) हा <MASK> देशाच्या अल्सास प्रदेशातील दोनपैकी एक विभाग आह... | फ्रान्स | 9 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.38979482650756836,
0.9532231092453003,
-0.007994763553142548,
-0.4783326983451843,
-0.025240007787942886,
-0.20175886154174805,
-0.05657487362623215,
0.6701366305351257,
0.5732689499855042,
0.12776315212249756,
-0.542830228805542,
-0.22451795637607574,
-0.11128399521112442,
-0.0225517433... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement... | entails | 1 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.27551519870758057,
0.8439689874649048,
-0.17906948924064636,
-0.22528260946273804,
-0.11781691759824753,
-0.3500418961048126,
0.103199802339077,
0.5730202198028564,
-0.09238474071025848,
-0.05385234206914902,
-0.6317647099494934,
-0.2701765298843384,
-0.1333271712064743,
-0.510868608951... |
Teacher: 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always ... | hc | 2 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.36397847533226013,
-0.09918971359729767,
-0.500969648361206,
-0.6924879550933838,
-0.06705770641565323,
-0.7053429484367371,
0.26556816697120667,
0.13970884680747986,
-0.8447067141532898,
0.12788796424865723,
-0.9739515781402588,
-0.39309456944465637,
-0.06075022369623184,
-0.4163814187... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. T... | [128, 512, 2048, 4096, 8, 32, 2, 128, 1024, 2048, 2048, 8, 32] | 5 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.30125176906585693,
1.152449369430542,
0.014918527565896511,
-0.03701913356781006,
-0.14198309183120728,
0.39446038007736206,
0.1598043143749237,
0.08839646726846695,
-0.20499077439308167,
0.03938278555870056,
-0.6420300602912903,
0.12302044034004211,
-0.3284887671470642,
-0.229485809803... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a table topped with bananas and oranges next to orange juice'. How many words end with the letter ... | 3 | 1 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.39591965079307556,
0.5023512840270996,
0.2867353856563568,
-0.2688450515270233,
0.0137022715061903,
-0.26038891077041626,
0.4548693001270294,
0.23881949484348297,
-0.08220313489437103,
-0.5180746912956238,
-0.25187838077545166,
-0.34210947155952454,
-0.2213861346244812,
-0.00670104380697... |
Definition: Translate from English to Hindi.
Input: - What do we get to eat today?
Output: | - आज खाने को क्या है? | 2 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.37488433718681335,
0.7984287142753601,
0.34063541889190674,
0.36528104543685913,
-0.23370447754859924,
-0.01485859788954258,
-0.06603144854307175,
0.04093199595808983,
0.27555644512176514,
-0.2792728543281555,
-0.362587571144104,
-0.031725022941827774,
-0.4794195294380188,
0.422236084938... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Problem:AK: ¿Quieres contar algo sobre la respiración?
Solution: | 息づかいについて説明してくれる ？ | 8 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.3303283751010895,
0.6842899322509766,
-0.12297730892896652,
-0.9667695760726929,
-0.33877432346343994,
-0.5260902643203735,
0.5378423929214478,
0.13558581471443176,
0.14567185938358307,
-0.43834221363067627,
-0.01826128363609314,
-0.5843979716300964,
-0.658789873123169,
0.36327448487281... |
Detailed Instructions: 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... | Yes | 8 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.10028547048568726,
0.43813520669937134,
0.4410122036933899,
-0.04014694690704346,
-0.4194760322570801,
-0.5169147253036499,
0.922355592250824,
0.0949629545211792,
-0.9226194620132446,
-0.47296130657196045,
-0.30349695682525635,
-0.7255480885505676,
-0.6395230293273926,
-0.126406043767929... |
Given the task definition and input, reply with output. Translate the given Spanish text to English
A system and method for maintaining a packet protocol context, such as a PDP (Packet Data Protocol) context, is provided.
| Se proporciona un sistema y método para mantener un contexto de protocolo de paquete, tal como un contexto de PDP (Protocolo de Datos por Paquetes). | 5 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.20819753408432007,
0.2024860382080078,
-0.6985586285591125,
-0.06205027922987938,
-0.6844209432601929,
-0.1774960607290268,
0.7781295776367188,
0.23530659079551697,
0.48122191429138184,
-0.21326912939548492,
-0.7477609515190125,
0.5418665409088135,
-0.3547319173812866,
0.055976621806621... |
Teacher: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 possible outp... | high | 6 | NIv2 | task1712_poki_classification | zs_opt | [
0.11233620345592499,
0.9684252142906189,
0.08792744576931,
-0.8972949385643005,
-0.6495043635368347,
-0.526010274887085,
0.5837756395339966,
0.5752787590026855,
0.080781951546669,
-0.8600800037384033,
-0.5011469125747681,
0.2675432562828064,
-0.20165079832077026,
-0.4551877975463867,
0.0... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: The worst!!! it is just plan awful bitter and stro... | 1 | 3 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.42691099643707275,
-0.3414849638938904,
0.597061038017273,
-0.03483516722917557,
0.5850807428359985,
-0.00943512748926878,
0.5181106328964233,
0.77415931224823,
-0.6568923592567444,
0.5475218296051025,
-0.7087588310241699,
-0.3342924416065216,
-0.5910550951957703,
-0.4804365932941437,
... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Example: نسبت .... به باران ، مثل دلتنگی است به .........؟ <sep> (A) ابر ، آسمان (B) ابر ، گریه (C) برف ، غصه (D) زمستان ، گریه
Example solut... | Solution: C | 5 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
0.062102075666189194,
0.602253258228302,
-0.7798104286193848,
0.498663991689682,
-0.8929675817489624,
-0.19097179174423218,
1.3708206415176392,
0.281348317861557,
0.07682757079601288,
-0.2598740756511688,
-0.7887510657310486,
0.25227686762809753,
-0.3272971510887146,
0.47007206082344055,
... |
Definition: This task is about translating a given Yoruba language sentence to English.
Input: Jọ̀wọ́, kàn sí alábòójútó Kolibri kó yàn yàrá ìkẹ́kọ̀ọ́ fún ọ
Output: | Please consult your Kolibri administrator to be assigned to a class | 2 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.06824938207864761,
0.7957419157028198,
0.06780301034450531,
-0.25167497992515564,
-0.32170945405960083,
0.060019612312316895,
-0.6348212957382202,
0.5989892482757568,
0.39579007029533386,
-0.1125577837228775,
0.47381114959716797,
-0.5002350807189941,
-0.8122105598449707,
0.43925043940544... |
Given a scientific question, generate a correct answer to it.
Q: Osseous tissue is the tissue that makes up what?
A: | bone | 4 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.6014895439147949,
2.3574061393737793,
-0.7027298212051392,
0.13647043704986572,
-0.09819821268320084,
-0.8534643650054932,
-0.0791962742805481,
0.6997413039207458,
0.5756163597106934,
0.7691521644592285,
0.32954615354537964,
-0.37278619408607483,
0.13225692510604858,
0.26268184185028076,... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously u... | Solution: Adenovirus Species C Is Associated With Chronic Suppurative Lung Diseases in Children | 5 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.6057026982307434,
0.21098032593727112,
-0.5219101905822754,
0.19259832799434662,
0.5032430291175842,
0.3088538646697998,
0.7766765356063843,
1.07265043258667,
-0.30765634775161743,
0.8509330749511719,
-0.1813785284757614,
0.8453634977340698,
-0.024875108152627945,
0.432437539100647,
-0... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
[EX Q]: Q... | Yes
| 6 | NIv2 | task227_clariq_classification | fs_opt | [
-0.2958982288837433,
0.15017284452915192,
-0.3804419934749603,
0.1703425645828247,
-0.9622174501419067,
-0.7388869524002075,
0.6202902793884277,
0.7671471834182739,
-0.1685139685869217,
0.19362571835517883,
0.03512424975633621,
-0.3200252950191498,
-0.45215117931365967,
0.31113213300704956... |
Detailed Instructions: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-s... | stereotype | 8 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.47281163930892944,
0.4117293953895569,
0.08245342969894409,
0.2891360819339752,
-0.1704620122909546,
-0.19420453906059265,
0.588136613368988,
0.8933353424072266,
0.4060491919517517,
-0.21616680920124054,
-0.5591703653335571,
-0.031019985675811768,
-0.6178075075149536,
-0.247611612081527... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: MxikDUQFBOWazJgwFFsIo, xVQFBOWazJgBF
Student: | a, b, d, f, g, i, j, k, m, o, q, s, u, w, x, z | 6 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.20883649587631226,
0.18870776891708374,
-0.07756158709526062,
-0.41661375761032104,
-0.038086432963609695,
0.23274847865104675,
0.6384321451187134,
0.10830769687891006,
-0.13851794600486755,
-0.2192493975162506,
-0.4879389703273773,
-0.7448656558990479,
0.2507936358451843,
-0.6910876035... |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Ex Input:
Do you want to get your tax refund fast after filing this year? See these tips on how to speed up your mone... | Domestic baby rabbit eyes open at about 10 days of age.
| 1 | NIv2 | task870_msmarco_answer_generation | fs_opt | [
0.5647941827774048,
0.5286476612091064,
-0.7190120816230774,
-0.21062199771404266,
0.10999348014593124,
-0.3455362021923065,
0.355498343706131,
1.1207642555236816,
-0.24886038899421692,
0.007935049012303352,
-0.08565539866685867,
0.21922390162944794,
-0.04979443550109863,
0.165748208761215... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
One example: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution is here: With economic growth, countries and societies e... | Look at the sky. | 6 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-1.0639710426330566,
0.6915037631988525,
0.19893363118171692,
-0.4568236470222473,
-0.11520621180534363,
0.3838076591491699,
0.07406693696975708,
1.0497689247131348,
-0.4194726347923279,
-0.16573017835617065,
-0.6985862255096436,
0.21242326498031616,
-0.4748476445674896,
-0.215043306350708... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.