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 |
|---|---|---|---|---|---|---|
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Example Input: Sentence: 'the woman in a blue shirt is riding a horse'. Count the number of consonants in the given sentence.
Example Output: 20
Example Input: Sen... | 16
| 3 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.2789304256439209,
0.3500139117240906,
-1.2846587896347046,
-0.3348272442817688,
-0.025156324729323387,
0.32345566153526306,
-0.37333717942237854,
1.2365591526031494,
0.010356161743402481,
-0.3588009178638458,
-0.819852352142334,
-0.15527939796447754,
0.5256528258323669,
-0.60276877880096... |
TASK DEFINITION: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
PROBLEM: معده (به انگلیسی: Stomach) عضو توخالی، عضلانی و حجیمی از... | True
| 8 | NIv2 | task396_persianqa_classification | fs_opt | [
0.9037098288536072,
0.5441227555274963,
-0.34822970628738403,
-0.07867096364498138,
0.2658901512622833,
0.0011103223077952862,
0.9133179783821106,
0.938408374786377,
-0.3790912628173828,
-0.1774313747882843,
-0.24433600902557373,
0.33569473028182983,
-0.7888786792755127,
0.4246248006820678... |
Detailed Instructions: In this task, you need to count the number of nouns/verbs in the given sentence.
Q: Sentence: 'a little white cat with a red collar sitting in a chair'. Count the number of verbs in this sentence.
A: | 1 | 9 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.5465302467346191,
1.1477575302124023,
-0.7476352453231812,
-0.26986026763916016,
-0.5412313938140869,
0.2261352837085724,
-0.11499322950839996,
0.570217490196228,
0.31962183117866516,
-0.04715245962142944,
0.362918883562088,
0.02119770273566246,
-0.1945650577545166,
0.10519438982009888,... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: The festival will be featured at the historic Chinese 6 Theatres on Holl... | Yes | 4 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.17370720207691193,
0.05782138556241989,
0.4887470006942749,
0.5693838596343994,
-0.14237737655639648,
-0.21910309791564941,
-0.3388493061065674,
0.05109426751732826,
0.057868897914886475,
-0.8322330713272095,
0.792187511920929,
0.28249531984329224,
-0.699934720993042,
0.5969651937484741... |
Q: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using ... | 25413 | 7 | NIv2 | task300_storycloze_order_generation | zs_opt | [
0.19814711809158325,
0.3463529944419861,
-0.5303479433059692,
-0.8225686550140381,
-0.28910911083221436,
-0.6353862881660461,
0.16878189146518707,
0.5995086431503296,
0.05107118934392929,
-0.3165096044540405,
-0.825797438621521,
-0.7015824317932129,
-1.2076828479766846,
0.25645995140075684... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holo... | lime
| 1 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.6972237825393677,
0.43100786209106445,
-0.009183237329125404,
0.19735457003116608,
-0.3086034059524536,
-0.5308017730712891,
-0.5566124320030212,
0.2162867784500122,
0.5038676261901855,
-0.7718850374221802,
-0.8198285102844238,
0.14013437926769257,
-0.31414538621902466,
-0.0289960727095... |
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example Input: Peut mieux faire... . Quelle déception...Ce produit, qui semblait plus qu'all... | NEG
| 3 | NIv2 | task483_cls_french_dvd_classification | fs_opt | [
0.4397447109222412,
-0.020344313234090805,
-0.6021113395690918,
-0.05550122633576393,
0.3482031524181366,
-0.007091369479894638,
1.5738967657089233,
0.7305372953414917,
0.4237241744995117,
0.46441522240638733,
0.19630573689937592,
-0.35748669505119324,
0.04845208302140236,
-0.2462595105171... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the followin... | Facility coach | 4 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.5524779558181763,
0.3395541310310364,
-0.08405888080596924,
0.47351422905921936,
-0.03465864062309265,
-0.7730874419212341,
0.4968819320201874,
0.42923808097839355,
0.08755430579185486,
-0.48704659938812256,
-0.0468088760972023,
0.4730907678604126,
-0.6226743459701538,
0.288028717041015... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Q: Beat eggs with a fork til well mixed., Dissolve baking soda in warm water., Add sugar, salt, and baking soda water to eggs., Mix soli... | mushroom, butter, flour, salt, light cream, chives, lemon juice, white bread
****
| 4 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.4971722960472107,
0.14033906161785126,
-0.10680390894412994,
0.1532975733280182,
-0.08998064696788788,
-0.036006391048431396,
0.8726854920387268,
0.7662872076034546,
-0.26283693313598633,
-0.06649260222911835,
-0.2113964706659317,
0.1636768877506256,
-0.5384864807128906,
-0.0555558130145... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Her mom want(s) Susie to leave with her >Motivates> Susie has to leave with her mom | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.43090638518333435,
0.326637327671051,
0.18512073159217834,
0.07172587513923645,
-0.14043378829956055,
-1.1231800317764282,
0.5713503360748291,
0.7654680013656616,
-0.14387795329093933,
0.15840190649032593,
-0.4572238326072693,
-0.13654875755310059,
-0.34686940908432007,
-0.0750370025634... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad
| 6 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.4063713550567627,
0.20670950412750244,
-0.6615287065505981,
-0.100469671189785,
-0.37910568714141846,
-0.28231555223464966,
0.47974467277526855,
-0.10598643124103546,
0.6385464668273926,
-0.1822209656238556,
-0.6839181184768677,
0.39392390847206116,
-0.71467524766922,
-0.268794625997543... |
Given the task definition and input, reply with output. Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: Mgbe afọ iri anọ gasịrị, Onyenwe anyị pụtara n'ihu ya n'osisi na-ere ọkụ, ma kwusaara ya na "Abụ m onye m bụ, " Onye n... | After forty years the Lord appeared to him in a burning bush, and proclaimed to him that "I am who I am ", He who never changes. | 5 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.1623447984457016,
0.8052663803100586,
-0.16954636573791504,
-0.19692346453666687,
-0.5372560024261475,
-1.630434513092041,
-0.3056163787841797,
0.27978795766830444,
0.6803995370864868,
-0.2183796465396881,
-0.6179764270782471,
0.27732229232788086,
-0.5159552693367004,
0.4032114744186401... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
I have found that this is an excellent tool for vocabulary building. I am able to understand the meaning immediatly and hope to co... | Positive | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.4376232326030731,
-0.39999017119407654,
0.46975111961364746,
-0.3369596004486084,
0.7348538637161255,
0.054234616458415985,
1.1082072257995605,
0.12732887268066406,
0.4358910918235779,
0.7882111072540283,
-0.382183700799942,
-0.5858883261680603,
-0.39943549036979675,
-0.5375308990478516... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Example: ఇల్లు అందంగా ఉంది
Example solution: Telugu
Example explanation: The language is Telugu so it is correct.
Problem: Duration 00:10:00
| Solution: English | 5 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.018012523651123047,
0.9869637489318848,
0.39142560958862305,
-0.3420117199420929,
0.057186953723430634,
-0.7522032260894775,
0.2637909948825836,
0.08599250018596649,
0.22011041641235352,
-0.2131088674068451,
-0.5280482172966003,
-0.10884839296340942,
-0.6310010552406311,
-0.351760268211... |
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | Yes
| 0 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.1011190414428711,
-0.00975522305816412,
0.18927627801895142,
0.3750339448451996,
-0.18693533539772034,
-0.4956311583518982,
0.35415947437286377,
0.9684233069419861,
0.1216440349817276,
0.6305947303771973,
-0.05940358340740204,
0.35652902722358704,
-0.14624622464179993,
-0.102555416524410... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be i... | phi beta kappa | 0 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.007624094840139151,
0.336430162191391,
-0.4413052797317505,
-0.337189257144928,
-0.16348043084144592,
-0.18344292044639587,
0.5554964542388916,
0.4568307101726532,
0.8600277900695801,
-0.06961473077535629,
-0.09423857927322388,
-0.3363984227180481,
-0.621936559677124,
0.5972952842712402... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Zacząłem się tym zajmować przez przypadek, ale kocham to.
Student: | الصدفة هي من جمعتني بهم ولكني أعشقهم. | 6 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.31284019351005554,
0.5331461429595947,
0.18797652423381805,
-0.9456184506416321,
-0.2774142026901245,
0.26733851432800293,
1.1434742212295532,
0.32072287797927856,
0.5529831647872925,
-0.23567283153533936,
-0.2206268608570099,
-0.43268412351608276,
-0.9319391846656799,
-0.32492387294769... |
Given the task definition and input, reply with output. Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
@anonymized_account @anonymized_account I bardzo dobrze. W niedzielę tylko kruchta a nie zakupy. A pracownicy? Wypad na bruk i m... | 1 | 5 | NIv2 | task838_cdt_classification | zs_opt | [
-1.5094876289367676,
1.4077746868133545,
0.29904797673225403,
0.5717384815216064,
-0.6789385676383972,
-0.395565390586853,
0.36407560110092163,
-0.16527506709098816,
-0.0017375221941620111,
0.11095771938562393,
-0.35795342922210693,
0.13070102035999298,
-0.09235478192567825,
-0.37808847427... |
Definition: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Inp... | A | 2 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.15292954444885254,
0.20813706517219543,
0.04576503857970238,
0.05989929288625717,
0.12426337599754333,
-0.04370299354195595,
0.592281699180603,
0.15610085427761078,
-0.015763085335493088,
0.22382277250289917,
-0.7477635741233826,
-0.08264496922492981,
0.2074495106935501,
-0.4936882555484... |
Q: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, ... | type of sandwich | 7 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.16279539465904236,
0.18969908356666565,
-0.6525838375091553,
0.18106679618358612,
0.42581069469451904,
-0.2183731496334076,
-0.28231245279312134,
0.34740307927131653,
0.4327394366264343,
0.021404698491096497,
-0.12355565279722214,
0.20148231089115143,
-0.4092246890068054,
-0.516846537590... |
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 two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[2, 193, 22, 177, 51, ... | [61, 46, 6, 41]
| 0 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.3740437626838684,
0.4814644455909729,
-0.2404060810804367,
-0.470552533864975,
-0.1559094786643982,
0.21960625052452087,
0.8896113038063049,
0.11500832438468933,
-0.2049582600593567,
0.4251330494880676,
-1.140368103981018,
-0.6947534680366516,
-0.3943605422973633,
-0.17489367723464966,
... |
Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Input: Crime is at least three or _ times greater in the major urban areas.
Output: | four | 3 | NIv2 | task672_nummersense | zs_opt | [
0.0284840427339077,
0.9225170016288757,
-0.12229347229003906,
-1.0832927227020264,
-0.6151930689811707,
0.9382001757621765,
0.13097018003463745,
1.197955846786499,
-0.23684561252593994,
-0.24909338355064392,
-0.6439244747161865,
0.870606541633606,
-1.0242629051208496,
-0.47988495230674744,... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
O resultado é o estancamento dos salarios, o desemprego de máis dun cuarto de traballadores, dos 25 aos 54 anos, en América, Xapón e Europa.
A: | The result is stagnant wages, more than a quarter of 25- to 54-year-olds in America, in Japan and in Europe out of work. | 7 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.2653287649154663,
0.6757724285125732,
0.15297994017601013,
-1.0713098049163818,
-0.21698668599128723,
-0.5616632699966431,
-0.43759220838546753,
1.0930593013763428,
-0.14353987574577332,
0.3028917610645294,
-0.3004738688468933,
0.07637171447277069,
-0.6326010227203369,
-0.04727555811405... |
Definition: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not gen... | D | 2 | NIv2 | task309_race_answer_generation | zs_opt | [
0.572975754737854,
0.3691263198852539,
-0.14185377955436707,
-0.21907909214496613,
0.40872642397880554,
0.18898552656173706,
1.4695007801055908,
1.065507411956787,
0.38043689727783203,
-0.4655771553516388,
-0.8103647232055664,
0.0901653915643692,
-0.2880593538284302,
-0.237941175699234,
... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
[Q]: Beginning: Kim bou... | 2
| 5 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.39597198367118835,
-0.22810307145118713,
-0.46664637327194214,
-0.05691998451948166,
-0.10401531308889389,
-0.9306106567382812,
0.051198575645685196,
1.0467662811279297,
-0.9865044355392456,
0.35612428188323975,
-0.6537659168243408,
0.27039772272109985,
-0.2193630486726761,
-0.242086753... |
Given the task definition and input, reply with output. In this task you will be given a list of strings and you need to concatenate them.
['M', 'started', 'G', 'the', 'h', 'u', 'rows', 'Q', 'B', 'i', 'cleft', 'f', 'a', 't', 'it', 'Q']
| MstartedGthehurowsQBicleftfatitQ | 5 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.004746501334011555,
0.23372286558151245,
0.19183123111724854,
-0.5780595541000366,
0.3516463041305542,
-0.44261157512664795,
-0.26624026894569397,
0.20972499251365662,
0.07608188688755035,
-0.07554653286933899,
-0.8345662355422974,
-0.20731531083583832,
-0.14372095465660095,
-0.32637512... |
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.
Input: Consider Input: Category: ENDS IN "TH"
Clue: This fish was thought to be extinct milli... | Output: glossary
| 2 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.8721745014190674,
0.3337317705154419,
-0.6791439056396484,
-0.2743070423603058,
0.30880698561668396,
0.2545458674430847,
0.254075288772583,
-0.4491027593612671,
0.13970354199409485,
-0.1898070126771927,
-0.4440085291862488,
-0.12489304691553116,
-0.8219189643859863,
0.0821332037448883,
... |
instruction:
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.
question:
英国外務大臣のウィリアム・ヘイグは「エジプトでは民主化へのプロセスへ迅速に戻ることが非常に重要である」と語った。
answer:
រដ្ឋមន្ត្រីក្រសួងការបរទេសអង់គ្លេសវីលលៀម ហាហ្គិកបាននិយាយថា:... | ផ្ទៃដីសរុប រួមទាំងផ្ទៃដីទឹកគឺ 33,990គីឡូម៉ែត្រការ៉េ;ផ្ទៃដីតែឯងគឺ30,528គីឡូម៉ែត្រការ៉េ។
| 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.8709648847579956,
-0.09935496002435684,
-0.05212889611721039,
-1.2504191398620605,
0.17595192790031433,
-1.180423617362976,
-0.20601899921894073,
-0.23793014883995056,
-0.515137791633606,
-0.05991063266992569,
-0.4477806091308594,
0.24899892508983612,
-0.5447698831558228,
0.126687303185... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Question: When we are building a com... | increase
| 0 | NIv2 | task178_quartz_question_answering | fs_opt | [
0.14625811576843262,
0.6286572813987732,
-0.7108030319213867,
0.4214547872543335,
-0.6037458181381226,
-0.8964159488677979,
0.47704559564590454,
0.7601766586303711,
0.1089610829949379,
0.10612126439809799,
-0.8042826652526855,
-0.2531111240386963,
-0.46250882744789124,
-0.21615475416183472... |
Q: In this task, you are given a sentence in Polish language and its corresponding English translation. Here, your job is to output label "yes" if the translation is correct, otherwise output "no".
Polish: Więc wybieram jeden promień świetlny, który rozchodzi się w ten sposób i dociera do zwierciadła
English: So let... | yes | 7 | NIv2 | task832_poleval2019_mt_classification | zs_opt | [
-1.2439650297164917,
0.9241329431533813,
0.5408706665039062,
-0.022793833166360855,
-0.10644915699958801,
-0.45989370346069336,
0.4923478066921234,
-0.12301270663738251,
0.3390609323978424,
-0.10096979141235352,
0.46307575702667236,
0.7736796140670776,
-0.532792329788208,
0.176372140645980... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
A train stopped in a station with people walking towards it with luggage.
Output: | એક ટ્રેન સ્ટેશન પર અટવાયું હતું, જે લોકો સામાન સાથે ચાલતા હતા. | 1 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.1746722310781479,
0.39516422152519226,
0.05397608503699303,
-0.43703514337539673,
0.30304378271102905,
-0.3058082163333893,
0.1559995412826538,
-0.16903141140937805,
0.4038711488246918,
-0.5235562920570374,
-0.5876983404159546,
-0.2035837322473526,
-0.3626852333545685,
-0.209465861320495... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: Consider Input: I have purchased this product before and it tasted fine, however, th... | Output: Good Review
| 2 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.4599669575691223,
-0.051528822630643845,
0.10226938128471375,
-0.22046855092048645,
0.459362268447876,
-1.0529319047927856,
0.8498563766479492,
1.2957487106323242,
-0.4305303394794464,
0.48249709606170654,
-0.03709297254681587,
0.4106863737106323,
-0.40256810188293457,
-0.30535897612571... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Let me give you an example: PersonX sees ___ in the wild
The answer to this example ... | movies | 8 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.9121129512786865,
0.9574580788612366,
-0.1767852008342743,
-0.23344206809997559,
-0.17129388451576233,
0.015506699681282043,
0.8278355598449707,
0.5702365636825562,
-0.06908169388771057,
-0.5620826482772827,
-0.19913241267204285,
-0.654979944229126,
-0.8728936910629272,
-0.0759384036064... |
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, slate, telephone, travel, v... | N | 4 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.118415355682373,
0.11207977682352066,
-0.19677260518074036,
-0.455989271402359,
0.03276922553777695,
0.4010193347930908,
0.26629388332366943,
0.47633621096611023,
0.2596771717071533,
0.2711505889892578,
-0.0887984037399292,
0.10447178781032562,
-0.6310938000679016,
-0.03406192362308502,... |
Part 1. Definition
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Part 2. Example
Timothy likes to play sports. He spends his time after school playing basket... | Yes | 7 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.5414299368858337,
0.27145978808403015,
-0.3588521182537079,
0.015895115211606026,
0.3042986989021301,
-0.01613578200340271,
0.321536660194397,
1.057971477508545,
0.44598084688186646,
0.2764219641685486,
-0.4351673126220703,
0.6255687475204468,
-0.6932559013366699,
0.017167139798402786,
... |
Teacher: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing ... | put a new patio in with stone tiles and a barbecue. | 2 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.6080921292304993,
0.3909078538417816,
-0.9027640223503113,
-0.1507437527179718,
-0.03300993889570236,
-1.0347307920455933,
0.7955553531646729,
0.9655392169952393,
-0.49538564682006836,
0.12169867008924484,
0.28256911039352417,
0.20933754742145538,
-0.3426266312599182,
-0.2893052697181701... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'oh like t... | no | 1 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.6692508459091187,
0.4051830768585205,
0.4575677514076233,
0.09598658233880997,
-0.01274477131664753,
0.2679561376571655,
0.8262075185775757,
0.32712703943252563,
0.23959237337112427,
0.0441923514008522,
-0.1705513596534729,
-0.8176303505897522,
0.051457129418849945,
0.08400365710258484,... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Example: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Example solution: Roger Federer was the first player to win 20 Grand Slams
Example explanation... | Solution: Laguerre was pictured by his contemporaries as a quiet, gentle man who was passionately devoted to his research, his teaching, and the education of his two daughters. | 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.2879248261451721,
0.17005467414855957,
-0.3796127438545227,
-0.12870746850967407,
0.7132509350776672,
-0.834662139415741,
0.4980400502681732,
0.24041157960891724,
0.10704115033149719,
-0.15365764498710632,
0.4350547790527344,
0.6092512011528015,
-1.1874518394470215,
-0.5357561111450195,
... |
Teacher: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., se... | no | 2 | NIv2 | task472_haspart_classification | fs_opt | [
-0.5064516067504883,
0.18527957797050476,
0.5041172504425049,
0.14704015851020813,
-0.15005965530872345,
-1.0904018878936768,
0.061813872307538986,
0.7330201864242554,
0.47571486234664917,
-0.4371644854545593,
-0.3917415738105774,
-0.12187706679105759,
-0.35546639561653137,
0.1829718649387... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
One example is below.
Q: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
A: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Rationale: The Portugese sentence is cor... | Un buen ejemplo de un lugar así es un conjunto de escuelas llamadas KIPP. | 9 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.4779832065105438,
0.9530844688415527,
0.7456121444702148,
-0.6696264743804932,
-0.32493865489959717,
-0.9123673439025879,
0.38742774724960327,
0.40446552634239197,
0.1500956416130066,
-0.5128192901611328,
-0.45149609446525574,
-0.09326010197401047,
-0.5228180885314941,
0.281413257122039... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Problem:Telephone Metadata Reform Act - Amends the Foreign Intelligence Surveillanc... | Telephone Metadata Reform Act | 8 | NIv2 | task1659_title_generation | zs_opt | [
0.38905221223831177,
0.0685407891869545,
-0.6143726110458374,
-0.16729623079299927,
0.5460314154624939,
-0.19642293453216553,
0.5103704929351807,
0.9167648553848267,
-0.49642693996429443,
0.38599374890327454,
-0.5480246543884277,
0.7451760172843933,
-0.18107980489730835,
0.1464387178421020... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example: Katrina gave Christine a stuffed animal for their birthday, but _ al... | B | 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.02973615936934948,
0.6854156851768494,
-0.5859993100166321,
0.07061022520065308,
0.17999376356601715,
-0.14049263298511505,
0.7024991512298584,
1.0576293468475342,
0.13770589232444763,
-0.1031598225235939,
0.35274165868759155,
0.28737950325012207,
0.7782264947891235,
-0.07359065115451813... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: Slint formed in 1987 in Louisville, Kentucky, from the remnants of the ... | Ethan Buckler. | 0 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.30893224477767944,
0.3449608087539673,
-0.960990846157074,
0.2981211543083191,
0.30042409896850586,
-0.5151236057281494,
0.9750217199325562,
0.08077673614025116,
-0.19467037916183472,
0.2591221034526825,
-0.10583268105983734,
0.6488194465637207,
-0.9293134212493896,
0.0055379243567585945... |
You will be given a definition of a task first, then some input of the task.
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Miami Marlins president David Samson will reportedly be shown t... | David Samson | 1 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.05477135255932808,
-0.346205472946167,
-0.5710206031799316,
0.5839450359344482,
0.5185423493385315,
0.44189244508743286,
0.2976669669151306,
-0.06003277003765106,
0.17103657126426697,
0.36681926250457764,
-0.3818743824958801,
0.4828657805919647,
-0.9447916746139526,
-0.24541425704956055,... |
Detailed Instructions: In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. ... | Stereotype | 9 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.6326214075088501,
0.37418895959854126,
-0.27872133255004883,
0.24895605444908142,
-0.07723875343799591,
0.036994099617004395,
0.968511700630188,
0.8211565613746643,
0.8059111833572388,
0.17378345131874084,
-1.3095810413360596,
-0.16807980835437775,
-0.9617114067077637,
-0.06493550539016... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
One example: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see M... | yes | 6 | NIv2 | task273_europarl_classification | fs_opt | [
-0.26042187213897705,
0.26195213198661804,
0.3776811957359314,
0.5936382412910461,
0.20501020550727844,
-1.3253905773162842,
1.1110827922821045,
0.7182454466819763,
0.4682679772377014,
0.10559182614088058,
-0.23155871033668518,
0.474931925535202,
-0.26149749755859375,
0.4434606432914734,
... |
Teacher:In this task, we ask you to write an answer to a question about when an event happened. For example, "going to school" usually happens during the day (not at 2 A.M). Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answe... | 1:00 PM. | 6 | NIv2 | task013_mctaco_answer_generation_absolute_timepoint | zs_opt | [
-0.2939912676811218,
0.4686974585056305,
-0.0834195613861084,
0.581996738910675,
-0.7692445516586304,
-0.6282670497894287,
-0.7027596235275269,
0.6782567501068115,
0.17748329043388367,
-0.06271685659885406,
-0.2684696316719055,
0.16647329926490784,
0.32587337493896484,
0.2783688008785248,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What term ref... | Tension stress pulls rocks apart. Tension causes rocks to lengthen or break apart. Tension is the major type of stress found at divergent plate boundaries. | 0 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
1.095220685005188,
0.27935606241226196,
-0.7988742589950562,
-0.0457853339612484,
0.054355695843696594,
-1.2798385620117188,
0.4927891492843628,
0.7054508328437805,
-0.1923636943101883,
-0.4727586507797241,
-0.36535757780075073,
-0.2622787356376648,
-0.5402858257293701,
0.06314094364643097... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Let me give you an example: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does ... | No | 8 | NIv2 | task839_cdt_classification | fs_opt | [
-1.1625454425811768,
1.2448022365570068,
0.4355854392051697,
0.4494265615940094,
-0.6213345527648926,
-0.6920359134674072,
0.6786000728607178,
-0.6051363348960876,
0.0797296017408371,
0.06949594616889954,
-0.4700249433517456,
0.6004633903503418,
-0.7704098224639893,
-0.3262993097305298,
... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | Solution: OFFENSIVE | 5 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.9137247204780579,
0.5586519241333008,
0.4168548882007599,
0.6065561771392822,
-0.19118940830230713,
-0.8070432543754578,
0.5481407046318054,
0.22438015043735504,
0.6932486891746521,
-0.0805431604385376,
0.25278493762016296,
-0.30800697207450867,
-0.5374730229377747,
-0.6759506464004517,... |
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 the even... | No | 3 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.025924772024154663,
0.2607792317867279,
0.6582754850387573,
-0.43951416015625,
-0.3315556049346924,
-1.102501630783081,
1.0628297328948975,
0.4728420674800873,
-0.6575642824172974,
-0.5237178802490234,
0.011586727574467659,
-0.25353097915649414,
-0.6753736734390259,
0.17220254242420197,... |
Given the task definition and input, reply with output. Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Good condition
| Positive Review | 5 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.5891174077987671,
-0.26483410596847534,
0.1199086382985115,
-0.2788812518119812,
0.07651315629482269,
-0.3637741804122925,
0.6107462644577026,
0.6577181816101074,
0.5136590003967285,
0.7861084342002869,
-0.5029323697090149,
-0.1794554442167282,
0.3190722167491913,
-0.37837955355644226,
... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
One example: M: I am considering dropping my dancing c... | It's sunny. | 6 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
-0.013805723749101162,
0.26886361837387085,
-0.10347460955381393,
-0.555017352104187,
0.08703535050153732,
-0.6181839108467102,
0.19296130537986755,
0.6523014307022095,
0.16282695531845093,
-0.033293481916189194,
-0.7491405010223389,
-0.3566359579563141,
0.3773466944694519,
-0.321345061063... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
One example is below.
Q: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parli... | no | 9 | NIv2 | task273_europarl_classification | fs_opt | [
-0.6215623617172241,
0.06686688959598541,
0.6308002471923828,
0.19276063144207,
0.5293201208114624,
-1.1553046703338623,
0.5007279515266418,
0.8394573926925659,
0.29289036989212036,
0.32412710785865784,
0.14640170335769653,
0.5919955372810364,
-0.522109866142273,
0.4709025025367737,
0.67... |
Detailed Instructions: In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
... | [195, 273, 57, 120, 16, 15, 276, 50, 48, 297, 42] | 8 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-0.3677482604980469,
-0.3448992669582367,
-0.24275505542755127,
-0.3110687732696533,
0.08133076131343842,
0.15008817613124847,
1.0687782764434814,
0.4004761278629303,
-0.4637914299964905,
0.16465750336647034,
-0.582748293876648,
-0.18809694051742554,
-0.5059866905212402,
-0.545359432697296... |
Definition: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Input: A yellow motorcycle with a few different sponsor advertisements painted on it in white.
Output: | થોડા વિવિધ પ્રાયોજક જાહેરાતો સાથે પીળા મોટરસાઇકલ્સ સફેદ પર તેના પર પેઇન્ટ કરે છે. | 2 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-1.2867980003356934,
0.3144642114639282,
0.2823316752910614,
-0.47949546575546265,
-0.19879575073719025,
-0.16151046752929688,
-0.3971587121486664,
0.5721349716186523,
0.24360205233097076,
-0.61445152759552,
-0.650414228439331,
0.36991316080093384,
-0.5035515427589417,
0.19900712370872498,... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Let me give you an examp... | I do not watch sports. My greek family immigrated to the us in the 50s. | 8 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.029219213873147964,
-0.20359742641448975,
-0.41295140981674194,
0.23623500764369965,
-0.12400127947330475,
-0.1661025583744049,
0.7868332862854004,
0.16610124707221985,
0.062276728451251984,
-0.367318332195282,
-0.4295384883880615,
0.40714606642723083,
-0.5501972436904907,
0.35627654194... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | positive | 6 | NIv2 | task284_imdb_classification | fs_opt | [
-0.652147114276886,
0.13806414604187012,
-0.22230765223503113,
0.4393419325351715,
0.27814263105392456,
0.19470760226249695,
0.8794726729393005,
1.0857651233673096,
0.10255605727434158,
0.013249851763248444,
-0.47273892164230347,
0.028071342036128044,
-0.2058204710483551,
-0.32741880416870... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: Obwieszczenia Alana Greenspana, że lata wzrostu gospodarczego będą trwać i trwać, niekwestionowane przez jego kolegów po fachu, aż do kryzysu, rzecz jasna.
A: | تصريحات آلان جرينسبان أن سنوات النمو الاقتصادي سوف تستمر لم يعارضها أحد من زملائه ، حتى جاءت الأزمة ، بالطبع. | 9 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.9968903064727783,
0.21650823950767517,
0.14207598567008972,
-0.8428027033805847,
-0.15922811627388,
-0.13742610812187195,
0.4353716969490051,
-0.11718563735485077,
0.0011704055359587073,
-0.05729103088378906,
-0.2251717448234558,
0.6666122078895569,
-0.8992133140563965,
0.67782425880432... |
Translate from English to Hindi.
One example: Go to the employment office.
Solution is here: रोजगार कार्यालय जाओ.
Explanation: The translation is accurate.
Now, solve this: Are you afraid?
Solution: | डरते हो क्या? | 6 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.2126704454421997,
0.23825597763061523,
-0.11484047770500183,
0.24847200512886047,
0.04947807639837265,
-0.5273376703262329,
0.06949007511138916,
0.4020577669143677,
0.5942228436470032,
0.18075676262378693,
-0.3010818362236023,
-0.24292588233947754,
-0.2581217885017395,
-0.03189136832952... |
In this task, you need to count the number of nouns/verbs in the given sentence.
[EX Q]: Sentence: 'A small kitchen knife on top of a sliced carrot'. Count the number of nouns in this sentence.
[EX A]: 4
[EX Q]: Sentence: 'A black and white image of a park bench'. Count the number of verbs in this sentence.
[EX A]: 0... | 6
| 6 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.2065974622964859,
1.1140824556350708,
-0.11864219605922699,
-0.453453004360199,
-0.05821757763624191,
0.1004495918750763,
0.283061146736145,
0.6954739093780518,
-0.22521114349365234,
-0.3113667368888855,
-0.03640999644994736,
-0.18206574022769928,
-0.3309133052825928,
0.47469204664230347... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
One example: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Solution is here: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Explanation: The Arabic sen... | מריה היתה מעורבת בתאונת דרכים, והיא התעוררה ביום הולדתה ה-16 לחדשות שהיא משותקת בארבע הגפיים באופן מלא לא היתה לה תנועה מהצוואר ומטה, היה לה נזק במיתרי הקול, והיא לא יכלה לדבר. | 6 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.2381533682346344,
0.5966167449951172,
0.13302162289619446,
-0.5342900156974792,
-0.6969573497772217,
0.12507672607898712,
1.0554823875427246,
0.0653415098786354,
0.6982908844947815,
-0.41370829939842224,
-1.0134575366973877,
-0.08508634567260742,
-0.47653111815452576,
0.0469949916005134... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
One example is below.
Q: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
A: 8297, b
Rationale: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297', 'b',... | Q, 1427, 7849, 7875, t, C, b, 9469, J, 6495, 3819, 7565, 711, f, 309, 9815, 5399, 4971, Q | 9 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3253401517868042,
0.25116443634033203,
-0.4549587368965149,
-0.7398135662078857,
-0.159727543592453,
-0.34076356887817383,
-0.1942596286535263,
0.5751128196716309,
-0.501804530620575,
0.15856511890888214,
-0.8532012104988098,
0.2560669779777527,
0.3401437997817993,
0.13288646936416626,
... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Y... | Inversion | 0 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.939622163772583,
0.4690166115760803,
0.42339497804641724,
0.01081744022667408,
-0.3290680944919586,
0.2661672830581665,
0.7955020666122437,
0.21048742532730103,
0.4024212956428528,
-0.39262479543685913,
-0.8339149951934814,
-0.7960842847824097,
-0.9650029540061951,
0.2899993658065796,
... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Statement: ১৮৭৪ সালে গোচারণের মাঠ ন... | বিদ্যাপতি | 1 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.5574449300765991,
1.0213985443115234,
0.1613474190235138,
-0.7589150667190552,
-0.025830388069152832,
-0.9385839700698853,
-0.04854496568441391,
-0.09593242406845093,
0.20268788933753967,
-0.49463245272636414,
-0.8621139526367188,
-0.22703507542610168,
0.013406515121459961,
-0.446104735... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
--------
Question: و در روز اول، محفل مقدس، و در روز هفتم، محفل مقدس برای شما خواهد بود. در آنها هیچ کار کرده نشود جز آنچه هر کس باید بخورد؛ آن فقط در میان شما کرده شود.
Answer: And the blood shall be to yo... | Take Aaron and his sons with him, and the garments, and the anointing oil, and a bullock for the sin offering, and two rams, and a basket of unleavened bread;
| 7 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
0.7412037253379822,
1.1935865879058838,
-0.5153689384460449,
-0.07428659498691559,
-0.783934473991394,
-0.4962799847126007,
0.7056810855865479,
0.19195705652236938,
0.3899061679840088,
0.07793150842189789,
-0.07167201489210129,
0.7832150459289551,
-0.38087984919548035,
0.1646716296672821,
... |
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".
Example Input: Japanese: ソ連の崩壊で、アルメニアとアゼルバイジャンが独立国家として再び誕生し、領土をめぐる古い抗争も再び始まった... | Yes
| 3 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.36350616812705994,
-0.21562989056110382,
0.22630667686462402,
0.19680941104888916,
0.21857622265815735,
0.11141201853752136,
-0.26312175393104553,
0.21727311611175537,
-0.4533052146434784,
0.11346634477376938,
-0.5928705930709839,
0.12217175960540771,
-0.5406046509742737,
0.148212164640... |
Given the task definition and input, reply with output. In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: telling a friend that her ... | no | 5 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.5966483354568481,
0.6039588451385498,
0.6351302862167358,
0.31284621357917786,
-0.32725954055786133,
-0.6584324836730957,
-0.2509172558784485,
0.6114677786827087,
0.396917462348938,
0.6576213836669922,
-0.5773411989212036,
-0.5736368894577026,
-0.7121198177337646,
-0.8092458248138428,
... |
Q: 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. The following are all powers of 2, '2, 4, 8, 16, 32, 6... | [256, 512, 2048, 512, 8, 64, 4, 2, 16] | 7 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.799058198928833,
1.0864121913909912,
-0.00968464557081461,
0.0689283013343811,
-0.3983762264251709,
0.42482781410217285,
0.2823144197463989,
0.314664363861084,
-0.2553750276565552,
0.19827468693256378,
-0.5221083760261536,
0.7244561314582825,
-0.20765869319438934,
-0.09202100336551666,
... |
Teacher:In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Teacher: Now, understand the probl... | legal-issues | 6 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.03772825002670288,
0.412177175283432,
-0.17089113593101501,
-0.1504541039466858,
-0.533202052116394,
-0.36201852560043335,
-0.17031149566173553,
0.5797136425971985,
0.5879636406898499,
0.24540066719055176,
-0.11003142595291138,
0.4179808497428894,
-0.3100365400314331,
-0.8850603103637695... |
Definition: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Input: Context: Just when you thought... Julia Louis-Dreyfus (@OfficialJLD) September 28, 2017 Question: what length are julia louis-drey... | short | 2 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-1.4028111696243286,
0.5371977090835571,
-0.5930397510528564,
-0.017385538667440414,
-0.759705126285553,
0.1861451119184494,
-0.16328412294387817,
0.46093660593032837,
0.27513232827186584,
-0.24385616183280945,
0.1626994013786316,
-0.4106294810771942,
-0.0720403641462326,
0.074848346412181... |
In this task, you will be shown a correct English sentence. You need to generate an incorrect form of the input sentence.
For example , it happened to me when I studied the concept of inflation . | For example it happens to me when I studied the concept of inflaction . | 0 | NIv2 | task1558_jfleg_incorrect_answer_generation | zs_opt | [
0.2772858738899231,
0.1557135134935379,
-0.36724621057510376,
0.427432656288147,
-0.2304510623216629,
-0.9124867916107178,
-0.6682640910148621,
0.8948007822036743,
0.3008188009262085,
-0.06699629127979279,
0.13213634490966797,
-0.6988412141799927,
-1.110473394393921,
-0.4455433189868927,
... |
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 two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
One example: [7, 9, 2, ... | [34, 346, 47, 68, 9, 550, 4, 3] | 6 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2699977457523346,
0.7041452527046204,
-0.2734523415565491,
-0.8538807034492493,
-0.05090551823377609,
-0.440130352973938,
1.3503732681274414,
0.2859155535697937,
-0.13298991322517395,
0.27893856167793274,
-0.8871121406555176,
-0.29441210627555847,
-0.7679578065872192,
-0.287563741207122... |
Q: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 記録によると、これまでで最も早い時期に、大西洋上に5つの嵐が起こった。
Filipino: Ito ang pinakamaagang panahon na naitala na... | Yes | 7 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.007515788543969393,
-0.26696866750717163,
0.07954484224319458,
0.4947761595249176,
-0.14841590821743011,
-0.474273145198822,
0.2503851056098938,
0.79368656873703,
-0.33796754479408264,
-0.6478956937789917,
-0.19958707690238953,
-0.12673862278461456,
-0.7072554230690002,
0.81791025400161... |
Detailed Instructions: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Q: Statement: পিটারহোফ <MASK>য় অবস্থিত একটি ভবন ছিল যা ব্রিটিশ রাজ সময়কালে কমপক্ষে সাতজন... | শিমলা | 9 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.38974499702453613,
1.1904349327087402,
-0.05139606446027756,
-0.3877256512641907,
-0.17167966067790985,
-0.6089874505996704,
0.09389101713895798,
0.8673989772796631,
0.3887040615081787,
-0.27995431423187256,
-0.4438825845718384,
0.3018983006477356,
-0.8851319551467896,
0.1982344537973404... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Ex Input:
[59, 39, 4, -59, -25, -2, -37, -85, -58]
Ex Output:
[59, 4, -59,... | [-59, -13, 31, 34]
| 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.12919548153877258,
-0.32801100611686707,
-0.6518990993499756,
-0.27109861373901367,
0.39744800329208374,
0.4173343777656555,
0.6578561067581177,
0.5682926774024963,
-0.4124196171760559,
0.16206243634223938,
-0.6395361423492432,
0.10877619683742523,
0.045444849878549576,
-0.5256674289703... |
Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: 2017 marks the 50th anniversary of Jayne Mansfield's fatal and legend... | Satanic talismans. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.788869321346283,
0.2549595236778259,
0.1115630641579628,
0.32039982080459595,
0.4313315749168396,
-0.5508871078491211,
0.48511213064193726,
0.7330989241600037,
0.2890189290046692,
0.053781893104314804,
-0.21183134615421295,
0.2598857581615448,
-0.9680719375610352,
0.16491439938545227,
... |
Q: 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 two sentences in or... | 25 | 7 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4291263520717621,
0.28198128938674927,
-0.1271488070487976,
-0.1756247580051422,
-0.15117275714874268,
-0.12278686463832855,
0.6234495639801025,
0.41016367077827454,
0.36853450536727905,
0.06743301451206207,
-0.6031482219696045,
-0.3681564927101135,
-0.9725965857505798,
0.33653962612152... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Input: حول العالم هناك 700 مليون شخص يقولون انه يرغبون في الانتقال نهائيا الى مكان اخر خالا.
Output: | מסביב לעולם, יש 700 מיליון אנשים שאומרים שהם רוצים לעבור עכשיו באופן קבוע למקום אחר. | 2 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.1617753952741623,
0.8938906192779541,
-0.2870609164237976,
0.011185744777321815,
-0.34115567803382874,
0.08612411469221115,
-0.05501411110162735,
-0.3131577670574188,
0.8734520673751831,
-0.5211244821548462,
-0.4014050364494324,
-0.023224376142024994,
-0.49201294779777527,
0.18122321367... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
--------... | Managers should appoint , train and build employees .
| 7 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.363686203956604,
1.016449213027954,
-0.31714457273483276,
0.04924307391047478,
0.1262558102607727,
-0.34621137380599976,
-0.05686139687895775,
0.8826155066490173,
-0.4678773283958435,
-0.012035662308335304,
-0.43355193734169006,
-0.4004676342010498,
-0.627263069152832,
-0.59277069568634... |
In this task, we ask you to identify the named entity that is the subject of the excerpt. Note that there could be multiple sentences in the excerpt and multiple named entities in each sentence - you must correctly pick the one that is the excerpt's main subject. The same named entity could appear in multiple excerpts,... | Café Rouge
****
| 4 | NIv2 | task959_e2e_nlg_text_generation_identify | fs_opt | [
-0.5592976808547974,
0.1986406296491623,
0.10957909375429153,
-0.09273182600736618,
-0.23400679230690002,
-0.04422081261873245,
1.1136102676391602,
0.33692556619644165,
0.4583307206630707,
0.14502164721488953,
0.3338227868080139,
-0.13858245313167572,
-0.5094478726387024,
-0.39393481612205... |
Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Input: Pamela Jean Stei... | Paraphrase | 3 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
0.006659395527094603,
0.4101227819919586,
-0.2100110948085785,
-0.48951688408851624,
-0.05167617276310921,
0.3625064492225647,
0.6754473447799683,
0.4599760174751282,
0.6450290679931641,
0.23290689289569855,
-0.20469540357589722,
0.6850082278251648,
-0.9776999354362488,
-0.1055982559919357... |
Given the task definition and input, reply with output. This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is... | What maritime institution of higher education existed in Plymouth as of 1880? | 5 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
-0.4154811501502991,
0.6008974313735962,
0.13406188786029816,
-0.8317857980728149,
0.42229488492012024,
-0.6045786142349243,
0.3831978440284729,
0.33464306592941284,
0.004346735309809446,
0.2146325260400772,
-0.5033892393112183,
-0.050030797719955444,
-0.6832243800163269,
-0.30946707725524... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your ans... | C | 1 | NIv2 | task190_snli_classification | zs_opt | [
-0.6723607778549194,
0.9005833864212036,
0.4519251585006714,
-0.22201548516750336,
0.15490323305130005,
-0.343735933303833,
-0.19057849049568176,
0.40996819734573364,
0.29672250151634216,
0.3280966877937317,
0.1577858030796051,
-0.8742208480834961,
0.05596669018268585,
-0.21469071507453918... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Ex Input:
אך אמת ברורה זו זוכה להתעלמות מצד הממשלות, ומצד נותני-החסות.
Ex Output:
وهذه المعلومة متجاهلة من قبل الحكومات حتى من قبل القائمين بالأعمال التطوعية والخيرية
Ex Input:
אז אחרי כל העבודה הקשה בה אנחנו מנסים לחשוב ע... | بالتالي فكر في مجموعة من العلامات التجارية أو ربما علامات تجارية جديدة لمشاريع جديدة.
| 1 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-1.1104315519332886,
0.2824699282646179,
-0.04955318942666054,
-0.6258915662765503,
-0.35873210430145264,
-0.7361277341842651,
0.4070925712585449,
0.06550554186105728,
-0.08166156709194183,
-0.11509248614311218,
-1.0955445766448975,
-0.07293146848678589,
-0.19521772861480713,
-0.1465436220... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | Solution: PersonX needed to clean the grout in the bathroom unlike PersonY because _ was a clean freak. | 5 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.5782543420791626,
0.5988726615905762,
-0.06293082237243652,
0.0340193435549736,
-0.01282605528831482,
-0.9611169099807739,
0.3613681495189667,
1.0380675792694092,
-0.04314204305410385,
-0.7127848863601685,
-0.1909911334514618,
-0.12820130586624146,
-0.4552251100540161,
-0.015117794275283... |
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'.
[EX Q]: (A) thinking about breaking up with my gf
(B) throwing a hissy fit at my family
[EX A]: B
[E... | A
| 6 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
0.16116246581077576,
0.798819899559021,
0.30439069867134094,
0.016332827508449554,
-0.5971571207046509,
-0.5115358233451843,
-0.03437004238367081,
0.711580216884613,
0.12819024920463562,
0.2589152455329895,
-0.36587759852409363,
-0.31846246123313904,
0.21481186151504517,
-0.471366763114929... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical pr... | PUNCT | 1 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6283935308456421,
0.22066989541053772,
0.18135309219360352,
-0.05370834469795227,
-0.03364308550953865,
-0.37403130531311035,
0.8902455568313599,
0.5105499029159546,
-0.38519179821014404,
-0.18995758891105652,
-0.22578050196170807,
-0.1226576417684555,
-0.4433879256248474,
0.449222415685... |
Teacher: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requ... | higher. | 2 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.1129128634929657,
0.787528395652771,
-0.08126351237297058,
-0.4500596225261688,
0.1228329986333847,
0.20713120698928833,
0.634462833404541,
1.2280051708221436,
-0.7286049723625183,
0.10856050252914429,
-0.6916980743408203,
0.26910221576690674,
-0.8937070965766907,
-0.19079793989658356,
... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example Input: Article: That day It's ... | No
| 3 | NIv2 | task310_race_classification | fs_opt | [
1.0063753128051758,
0.2003084123134613,
-0.3699389100074768,
-0.007980939000844955,
0.2929287552833557,
-0.6096576452255249,
0.5682887434959412,
1.0726457834243774,
-0.2857891321182251,
0.060777727514505386,
0.07706758379936218,
0.31782928109169006,
-0.4727027416229248,
0.22991351783275604... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Input: Consider Input: Mix 1 part milk to 2 parts white vinegar., Soak stained garment at least a few hours or better overnight., Hang t... | Output: zucchini, ground beef, onion, rice, cream of mushroom, oregano, salt, garlic powder, cream-style cottage cheese, Cheddar cheese
| 2 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.2781333327293396,
-0.09414686262607574,
-0.7339493632316589,
1.2564653158187866,
0.13132339715957642,
0.2550647556781769,
0.6931759119033813,
1.124302625656128,
-0.26477330923080444,
-0.0042132786475121975,
-0.11128321290016174,
0.28943896293640137,
-0.6021708250045776,
-0.02167470380663... |
Q: In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer w... | E. | 7 | NIv2 | task043_essential_terms_answering_incomplete_questions | zs_opt | [
0.6744369268417358,
0.3823252320289612,
-0.13032764196395874,
-0.22470536828041077,
-0.45443296432495117,
-1.2056907415390015,
0.7583903074264526,
1.3305342197418213,
-0.20727567374706268,
-0.02697126194834709,
0.07008162140846252,
-0.03564881533384323,
-0.4055803418159485,
-0.020856069400... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: וככה אנחנו עושים את זה
Output: | Así es como lo hacemos. | 3 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.5447988510131836,
1.0366621017456055,
-0.03414848819375038,
0.03755926713347435,
-0.1793506145477295,
0.07615330815315247,
0.3109772205352783,
0.5601792335510254,
1.2812037467956543,
-0.4036075174808502,
-0.5153335928916931,
0.3308992385864258,
-0.36200612783432007,
-0.2995739281177521,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
[EX Q]: اول اینکه قبلاً اراده ای برای ایجاد اندازه ای از امنیت نظامی توسط آمریکا و متحدینش وجود داشت.
[EX A]: Uma é porque havia uma disposição para fornecer algum tipo de segurança militar por parte dos EUA e dos alia... | Estava a acontecer-nos na vida real.
| 6 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.7209838032722473,
1.0423616170883179,
-0.692477822303772,
-0.15785382688045502,
-0.8659718632698059,
-1.001431941986084,
0.5739516019821167,
1.2922868728637695,
0.5541477203369141,
-0.3161749839782715,
-0.5362004041671753,
-0.1282721310853958,
-0.9819642901420593,
-0.16057328879833221,
... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
الأمر يثير الشفقة ، لأنّنا نعيش في أوقات الغيرة.
| Es una lástima, porque vivimos en tiempos de envidia. | 5 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-1.0532640218734741,
1.050303339958191,
0.704229474067688,
-0.4620664119720459,
-0.6924939155578613,
0.8439974784851074,
0.44191470742225647,
0.15703454613685608,
0.7705422043800354,
-0.16383850574493408,
-1.0831537246704102,
0.3431910574436188,
-0.9241669774055481,
0.3625103831291199,
0... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the... | non-geopolitical
| 7 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.33535265922546387,
0.1785217523574829,
0.13297979533672333,
0.46611425280570984,
-1.052357792854309,
-0.12824854254722595,
0.7085156440734863,
0.40626806020736694,
0.17514492571353912,
-0.3574102520942688,
-0.4206022024154663,
0.2011190950870514,
-0.18118518590927124,
-0.084185577929019... |
Q: In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Text: Jedne z moich ulubionych słuchawek z dobrą jakością dźwięku.... | Yes | 7 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-1.1369531154632568,
0.563660740852356,
-0.3637598156929016,
0.5389443635940552,
0.3351937234401703,
-0.8496854305267334,
1.113736867904663,
0.009312021546065807,
0.18357132375240326,
0.4259198307991028,
0.31995856761932373,
0.45112308859825134,
-0.30502617359161377,
-0.12212366610765457,
... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | b
| 7 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.4483740031719208,
0.5644059181213379,
-1.0582802295684814,
0.3067755103111267,
0.5260614156723022,
0.07199661433696747,
0.19399304687976837,
0.9093031883239746,
0.1954810917377472,
0.5464569330215454,
-0.09247985482215881,
0.43529215455055237,
-0.4363323748111725,
-0.1625799834728241,
... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sente... | Inversion | 1 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
0.04626313969492912,
0.8904651403427124,
0.31733307242393494,
0.26502567529678345,
0.3536714017391205,
-0.11236308515071869,
0.08559441566467285,
0.5738670825958252,
-0.1416095793247223,
-0.12870940566062927,
-0.46506690979003906,
-0.5811448693275452,
-0.5076514482498169,
-0.24480414390563... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
One example: Così diventa un igloo.
Solution is here: این یک خانه ی اسکیمو می شود.
Explanation: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: In particolare, ques... | و مخصوصا من این را دوست دارم. این یک پیرمرد 76 ساله است ، | 6 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.026612840592861176,
0.3225611448287964,
-0.09574998915195465,
-0.37505754828453064,
-0.0036330248694866896,
-1.029454231262207,
1.0955517292022705,
-0.07342907786369324,
0.3518317937850952,
-0.12326294183731079,
-0.8832074403762817,
1.0378644466400146,
-1.0039198398590088,
0.30796879529... |
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