inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a ... | Yes | 1 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.5305241346359253,
0.003251517890021205,
0.38838592171669006,
0.7759147882461548,
-0.035310253500938416,
0.11751528084278107,
-0.19141826033592224,
0.7575013637542725,
0.2309427261352539,
0.17398637533187866,
-0.2882286310195923,
-0.5397763252258301,
-0.1771976798772812,
-0.0658186525106... |
Given a sentence in French, generate a new French 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 bei... | Un explorateur peut envoyer une carte par courriel à un magasin.
| 5 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.2628871202468872,
0.618681013584137,
0.22760728001594543,
-0.3306337594985962,
-0.22480128705501556,
-0.5477043986320496,
0.5165644288063049,
0.779693603515625,
-0.03040623664855957,
-0.14830781519412994,
-0.9910715818405151,
-0.43788444995880127,
-0.41806620359420776,
0.096146605908870... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Input: הייתי, אגב — אני בן אסקס, נולדתי וגדלתי באסקס שבבריטניה.
Output: | Ero, comunque — sono un ragazzo dell'Essex, nato e cresciuto nell'Essex nel Regno Unito. | 3 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
0.3830377161502838,
0.4444771409034729,
-0.5052063465118408,
-0.2380935549736023,
-0.7441030144691467,
-0.23661091923713684,
0.25793352723121643,
0.6202637553215027,
0.8356676697731018,
-0.9126278162002563,
-0.3271971642971039,
0.9080075621604919,
-1.329958438873291,
-0.08487049490213394,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Perché, ovviamente, se si mette a distruggere lumache, anche la povera appendice finirà disintegrata. E, in effetti, così è. | لأنه من الواضح, لو كانت تكسر الحلزونات, هذا الطرف المسكين لابد أنه يتفكك. وهو بالفعل يتفكك. | 0 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.7525355815887451,
1.1076252460479736,
0.09658607840538025,
-0.9492594003677368,
-0.5736185312271118,
-0.23416811227798462,
0.47838330268859863,
0.707878053188324,
-0.4630821943283081,
0.23574064671993256,
-0.4975549876689911,
0.11917805671691895,
-1.3783011436462402,
0.7329072952270508,... |
Given the task definition and input, reply with output. Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: '3Blessed be the God and Father of our Lord Jesus Christ , who according to his great ... | become in | 5 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.011870520189404488,
1.3679323196411133,
0.003713115816935897,
0.10801409929990768,
-0.49344155192375183,
-0.5782209634780884,
0.44512006640434265,
0.9125847816467285,
0.18130654096603394,
0.07863293588161469,
-0.4321887493133545,
0.5070772767066956,
-0.22881150245666504,
0.01450375001877... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: そこで法則も作られ始めました
A: וכך אפשר היה להתחיל לנסח כמה כללים.
****
Q: 何か月も看護師や医者の方々に女性器切除がどのようなものでどこで行われているかを説明しましたアフリカや中東アジア今ではオーストラリアやロンドンアメリカもですなぜなら今私たちは多文化社会に生きておりそのような背景を持つ人々は文化を持ち込み私たちが必ずしも同意しない文化的慣習であっても彼らは実践し続けるのです
A... | הנה זה לאחר 40 דקות.
****
| 4 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
0.18997600674629211,
-0.025967340916395187,
-0.011136083863675594,
0.134761780500412,
0.31250590085983276,
-0.08623557537794113,
-0.29533201456069946,
0.6912510395050049,
0.5739015340805054,
-0.10408157855272293,
-0.5064221620559692,
0.22938023507595062,
-0.9193878769874573,
0.222254008054... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Comment:... | Non-identity-attack | 0 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.39568477869033813,
0.17367294430732727,
0.5576033592224121,
0.6729369163513184,
0.029711158946156502,
-0.3186459541320801,
0.876685619354248,
0.20995116233825684,
0.456876277923584,
0.2954854369163513,
-0.1690797209739685,
-0.5654802322387695,
-0.526807427406311,
-0.7857022881507874,
... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Input: از کتاب اصول: نامگذاری یک ابزار است.
Output: | From the rulebook: Nomenclature is a tool. | 2 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.31090766191482544,
0.1149030551314354,
-0.46486225724220276,
-0.23104912042617798,
0.014548588544130325,
-0.4737783670425415,
1.35648775100708,
-0.20831769704818726,
0.44179022312164307,
0.0233473964035511,
-0.8189662098884583,
0.1275193691253662,
-0.1286749541759491,
-0.084019005298614... |
Detailed Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 1, 5, ['8425', 't', 'e', 'B', 'N', '643... | 8425, 6431, 231, 9355 | 9 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.5886982083320618,
0.0502895750105381,
-0.9794739484786987,
-0.07474009692668915,
-0.2935348451137543,
-0.34830981492996216,
0.6988698244094849,
-0.3719644546508789,
-0.25986140966415405,
0.3252100944519043,
-0.6014642715454102,
-0.1491047888994217,
-0.04342513531446457,
0.399264991283416... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_pantry | 9 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
-0.15308329463005066,
-0.4416990876197815,
0.010540511459112167,
-0.18851327896118164,
-0.4001285135746002,
-0.5439785718917847,
0.19577574729919434,
0.42185044288635254,
-0.004301007837057114,
0.1133171021938324,
0.0890381783246994,
0.4442492425441742,
0.10734520107507706,
0.3082566261291... |
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 ... | No | 3 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
0.007991865277290344,
0.5977596640586853,
0.1352846622467041,
-0.044201165437698364,
-0.419664204120636,
-0.42233017086982727,
1.0191341638565063,
-0.004186937585473061,
-0.6238585114479065,
-0.5066443681716919,
-0.42148083448410034,
-0.30653640627861023,
-0.3526345193386078,
0.15304529666... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | False | 9 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.13179898262023926,
0.13628152012825012,
-0.1349853277206421,
0.1564234495162964,
0.26413559913635254,
-0.8953452110290527,
0.8365186452865601,
1.0683585405349731,
-0.05130878463387489,
0.37719273567199707,
-0.36709076166152954,
0.41918259859085083,
-0.8952852487564087,
0.022036181762814... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-595, -55, 303] | 9 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.4890784025192261,
0.22357308864593506,
-0.07990147173404694,
-0.6530059576034546,
-0.2571674883365631,
-0.06222725287079811,
1.102206826210022,
0.1577947437763214,
-0.4130186140537262,
0.36862361431121826,
-0.6018036603927612,
-0.059861231595277786,
-0.11815617233514786,
-0.260201036930... |
Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Input: Why do girls ignore men that are attracted to them?
Output: | Why do some girls or women ignore men they are attracted to? | 3 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.46688413619995117,
1.2440004348754883,
-0.19967681169509888,
-1.3763426542282104,
0.04485468193888664,
-0.6538810133934021,
0.38775670528411865,
0.10041888058185577,
0.390170693397522,
-0.08429303020238876,
-1.2967987060546875,
0.41973915696144104,
-0.8847851157188416,
0.071333512663841... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | No
| 6 | NIv2 | task496_semeval_answer_generation | fs_opt | [
-0.29131442308425903,
0.8740147352218628,
0.4439350962638855,
-0.03214363753795624,
-0.45094794034957886,
-0.4433283507823944,
-0.35282406210899353,
0.6734628677368164,
-0.04876864328980446,
-0.3993767499923706,
-0.5126115083694458,
-0.14613190293312073,
-0.8676642179489136,
0.442451477050... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Example: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean ... | Thiruvananthapuram | 1 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.9416078329086304,
0.4263494610786438,
-0.27319762110710144,
-0.45157185196876526,
0.4953305125236511,
-0.6915215253829956,
0.33460763096809387,
0.9134456515312195,
-1.370971441268921,
0.30629783868789673,
0.13421857357025146,
0.27203214168548584,
-0.6861344575881958,
0.09499368816614151,... |
Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation... | Output: క్రియాశీలంగాలేని వర్చ్యువల్ డెస్క్ టాప్ నందలి విండో అప్రమత్తత తెలుపుతోంది
| 2 | NIv2 | task878_kde4_translation | fs_opt | [
-0.6834909915924072,
0.760102391242981,
0.47004538774490356,
0.3437069356441498,
-0.05584707111120224,
-0.43049657344818115,
0.546193540096283,
0.2780895233154297,
0.07124865055084229,
-0.3305041193962097,
-0.37463292479515076,
0.3961147964000702,
-0.5665968656539917,
0.2702184021472931,
... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: Is Yankee in a good mood today or what
Label: Hate Speech
A: | false | 4 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.0912630558013916,
0.06467267870903015,
0.6954730153083801,
0.4215930104255676,
-0.4651971161365509,
-1.3204107284545898,
-0.028619958087801933,
0.6356257796287537,
0.7916008234024048,
0.6916832327842712,
-0.24153056740760803,
-0.1898919641971588,
-0.7637879252433777,
-0.3296827077865600... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the questi... | The financial education in England aims to _ . | 0 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.4299342632293701,
0.12019036710262299,
-0.48592841625213623,
-0.6665695905685425,
0.38661742210388184,
-0.4365025758743286,
0.814863920211792,
0.7962940335273743,
-0.2105156034231186,
-0.19742999970912933,
0.004020570777356625,
0.44001704454421997,
-0.5008010864257812,
0.2144637405872345... |
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 | 4 | NIv2 | task1216_atomic_classification_causes | zs_opt | [
0.18636906147003174,
0.518829345703125,
0.03856278955936432,
-0.40637192130088806,
-1.1171672344207764,
-1.0715973377227783,
1.0713796615600586,
1.0049736499786377,
-0.5228372812271118,
-0.32397904992103577,
-0.5140596628189087,
-0.383047491312027,
-0.6228066086769104,
-0.08989637345075607... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Tweet: @justinchuan Awww! I was thinking about you lo... | no | 3 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.560009241104126,
0.2061828225851059,
0.20627328753471375,
0.02860463224351406,
0.36024734377861023,
-0.6422570943832397,
0.38871923089027405,
0.10711448639631271,
0.3996143937110901,
0.37689268589019775,
-0.32343846559524536,
-0.21609994769096375,
-0.3332124352455139,
-0.477843433618545... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is to translate the English language Input to Telugu Language Output
I am very happy
Solution: స్నేను చాలా సంతోషంగా ఉన్నాను
Why? The translation is correct with meaning of the sentence not... | అల్మెరియా, Spain | 0 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.4468049108982086,
0.4218446612358093,
0.46159127354621887,
0.05026458576321602,
0.32570141553878784,
-0.7584064602851868,
0.22740861773490906,
0.19993489980697632,
0.4658375084400177,
0.2245950996875763,
0.01704130880534649,
0.24830268323421478,
-0.6233919262886047,
-0.00157160602975636... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: ການເດີນຂະບວນງົວ ຂອງ ບູກາເລສ Bucharest ຖືກຈັດໂດຍ Event Horizon ທີ່ປຶກສາການຕະຫຼາດຂອງ ໂຣມາເນຍ.
[A]: ブカレストのカウパレードは、ルーマニアの市場コンサルティング会社であるイベントホライズンによって... | イギリス政府は２％のインフレターゲットを持っているが、これを１％以上上回っている。
| 5 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.7140522599220276,
-0.20850133895874023,
-0.5954761505126953,
-0.18220320343971252,
-0.1709233671426773,
0.055368926376104355,
0.5665634870529175,
0.4846074879169464,
0.21368002891540527,
-0.21415553987026215,
-0.311766654253006,
0.8459570407867432,
-0.6694844365119934,
0.565713405609130... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ... | Chcemy, żeby ci, których postrzegano jako przyczynę, stali się rozwiązaniem. | 2 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.17325949668884277,
0.6250869035720825,
-0.041477855294942856,
-0.3736509084701538,
-0.5835748314857483,
-0.9061297178268433,
1.5048997402191162,
0.021509427577257156,
0.37548828125,
-0.22285570204257965,
-0.8796135783195496,
0.6012912392616272,
-1.0790148973464966,
0.18280825018882751,
... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
[EX Q]: ur... | i think libertarians are retards and i think liberals are retarded faggots
| 6 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.6002969741821289,
0.6719949245452881,
0.30891284346580505,
0.9703669548034668,
-0.4312672019004822,
-0.7991304993629456,
0.5081532001495361,
0.7742468118667603,
0.47086101770401,
0.5411559343338013,
-0.49599963426589966,
-0.07166227698326111,
-0.5418127775192261,
-0.5768938064575195,
... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
See one example below:
Problem: I have bought several of the Vitality canned dog food pro... | Wrong coffee received | 4 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6653107404708862,
-0.29907557368278503,
0.0079062320291996,
-0.32834112644195557,
-0.022132135927677155,
-0.3126017451286316,
0.6211642026901245,
0.7865229845046997,
-0.11019454896450043,
0.21326053142547607,
0.3099517226219177,
-0.03280344605445862,
-0.45384788513183594,
-0.04471138492... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de... | پس بذارید یه داستان بگم براتون. | 2 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.5977641344070435,
0.03374946862459183,
-0.19499638676643372,
-0.021498940885066986,
-0.3661753535270691,
-0.35614311695098877,
0.2984900176525116,
0.5355067253112793,
-0.4018157720565796,
-0.24696440994739532,
-0.30189239978790283,
0.5046765804290771,
-0.03727278858423233,
-0.2581740617... |
Part 1. Definition
In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
The women met for coffee.
They wanted to c... | cause | 7 | NIv2 | task828_copa_commonsense_cause_effect | fs_opt | [
-0.28887084126472473,
0.5050188899040222,
-0.17304185032844543,
-0.5050241351127625,
0.022720549255609512,
0.2559356689453125,
0.33449023962020874,
0.5266977548599243,
0.7886792421340942,
-0.40435320138931274,
-0.2576707601547241,
-0.17316560447216034,
-0.661541223526001,
-0.12449825555086... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | PersonX's garden makes him a little money, while PersonY's makes a lot, so _ is more likely to be the professional farmer. | 4 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9802999496459961,
0.178310364484787,
-0.32597988843917847,
-0.08645596355199814,
0.38633978366851807,
-1.2173490524291992,
1.5354304313659668,
0.9221436381340027,
-0.4438021779060364,
-0.5567300915718079,
-0.3611556887626648,
0.11293526738882065,
-0.8312637805938721,
0.2920897901058197,
... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sent... | Phil tastes the food >Causes/Enables> Phil likes the food | 4 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.0940810814499855,
0.01856258511543274,
0.6060463190078735,
0.2549436688423157,
-0.28511184453964233,
-1.1878879070281982,
0.34371820092201233,
1.000273585319519,
-0.4983491599559784,
0.31207990646362305,
-0.7072080373764038,
-0.06330807507038116,
-0.15862825512886047,
-0.4915972352027893... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | True | 8 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.6206216812133789,
0.05607129633426666,
-0.45989155769348145,
0.1418532431125641,
-0.16449519991874695,
-0.36070331931114197,
0.18883362412452698,
1.031245231628418,
0.2507723569869995,
0.29432904720306396,
-0.7900579571723938,
0.3901241421699524,
-0.591684103012085,
-0.17839625477790833,... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example solution: a, 34, f, 931, 7
Example expla... | Solution: 501, 4915, T, I, M, 1257, 3487, 3775, A, 4589, x, v | 5 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.4596291184425354,
0.18180245161056519,
-0.3988324701786041,
-0.42323988676071167,
-0.1297501176595688,
-0.2559967339038849,
0.6209136843681335,
0.007611023262143135,
-0.10885380208492279,
-0.161940336227417,
-1.0611038208007812,
0.010306375101208687,
0.24179622530937195,
-0.4395965337753... |
You are given a statement written in Malayalam. 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 .
Let me give you an example: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട്... | കൊൽക്കത്തയിൽ | 8 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
1.1173787117004395,
0.30945146083831787,
-0.7770631313323975,
0.015647703781723976,
0.09280280023813248,
-1.156775951385498,
0.5168281197547913,
0.47144943475723267,
-0.0982138141989708,
0.0846949964761734,
-0.060475848615169525,
1.0243077278137207,
-0.1701192706823349,
-0.1193305253982544... |
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.
Nang paligiran ng mga opisyal ng custom ang sasakyan, bumaling ang drayber, na humantong ... | 税関職員が車を取り囲んだところ、運転手は車をバックさせたため、職員のうち2人が車に発砲した。 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-1.1829584836959839,
-0.02962673455476761,
-0.028832431882619858,
-0.004482045769691467,
-0.25667357444763184,
0.11784746497869492,
0.11422965675592422,
0.5829470157623291,
0.2340819388628006,
-0.38057941198349,
-1.399561882019043,
0.31795310974121094,
-0.6521515846252441,
0.32085800170898... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
--------
Question: English sentence: That is, a specific Wikipedia editor either received a barnstar or not. Therefore, we observe one of the potential outcomes—\(Y_i(1)\) or \(Y_i(0)\) —but... | Ihe ọ bụla nke na netwọk nwere ike ịbịa na-akụ ha osisi ọkọlọtọ n'elu ya.
| 7 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.6054205298423767,
0.22842717170715332,
0.10012959688901901,
-0.13562121987342834,
0.4786655008792877,
-0.7384823560714722,
0.06037724390625954,
0.599709153175354,
1.0968613624572754,
0.07798127830028534,
-0.10519486665725708,
0.6560238003730774,
-0.6799893975257874,
0.3049810528755188,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example: Mas o que são direitos humanos?
Output: ولكن ماهي حقوق الإنسان ؟
The Portugese sentence is correctly translated into Arabic, because... | وواحدة من السياسات الأخرى التي جربناها وكان هناك مجموعة كاملة أخرى لكن واحدة من السياسات التي جربناها تسمى بيزيك16 والشرط الوحيد فيها أن تحتوي كلمة المرور على 16حرفًا على الأقل | 1 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.3360210657119751,
0.5191817283630371,
-0.14682039618492126,
-0.341604620218277,
-0.3683464527130127,
-0.044305719435214996,
0.61977219581604,
0.7497768402099609,
0.4330950081348419,
0.18277506530284882,
-0.9469967484474182,
-0.09639549255371094,
-0.47025400400161743,
-0.1622457206249237,... |
Instructions: In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Input: Could you schedule a paperwork completing event for early tomorrow?
Output: | Does one of these work? | 3 | NIv2 | task1603_smcalflow_sentence_generation | zs_opt | [
0.16242823004722595,
0.4246513247489929,
-0.34816497564315796,
-0.30278080701828003,
-0.22199523448944092,
-1.0076704025268555,
0.56516432762146,
0.10610169172286987,
0.40647178888320923,
-0.007994545623660088,
-0.23378363251686096,
0.025501221418380737,
-0.16700513660907745,
0.14983712136... |
Definition: In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: Che cos'è la chat con gli amici?
Options: A comunicazione B felici... | A | 2 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | zs_opt | [
0.03132254257798195,
0.6197280883789062,
-0.31467002630233765,
0.10433757305145264,
-0.3378468453884125,
-0.06692329049110413,
0.7395282983779907,
0.20507760345935822,
-0.22614361345767975,
-0.6530050039291382,
-0.6691371202468872,
0.16613774001598358,
0.3074931204319,
0.13762156665325165,... |
Given the task definition, example input & output, solve the new input case.
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/term... | What event has already finished? | 1 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
-0.36498379707336426,
0.12013836950063705,
-0.4239613711833954,
-0.12258826941251755,
0.39531028270721436,
0.6385393142700195,
-0.049505650997161865,
0.3181128203868866,
-0.38703325390815735,
-0.05564676225185394,
-0.23630979657173157,
0.8335281014442444,
-0.03183373808860779,
0.1725404560... |
TASK DEFINITION: Translate from English to Hindi.
PROBLEM: So, finally, the voice says,
SOLUTION: तो, अंत में, आवाज आयी,
PROBLEM: We embrace the trials of our lives...
SOLUTION: हम अपने जीवन की परीक्षा को गले लगाते हैं ...
PROBLEM: In the rice stink.
SOLUTION: | बदबूदार चावल में.
| 8 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.8817335367202759,
0.6438419818878174,
0.30884984135627747,
-0.09354332089424133,
-0.2148289978504181,
-0.3097464442253113,
0.4405812919139862,
0.1389216184616089,
-0.0812649205327034,
0.43319183588027954,
-0.1339765042066574,
0.28663116693496704,
-0.32832759618759155,
-0.0367589443922042... |
Given the task definition and input, reply with output. Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plau... | Puede utilizar una línea para distinguir entre el agua y el vacío. | 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.43815454840660095,
0.817587673664093,
0.27232807874679565,
-0.17944926023483276,
-0.12831783294677734,
-0.33847904205322266,
0.10493535548448563,
1.576390027999878,
0.1830744743347168,
-0.6109848022460938,
-0.5626800656318665,
0.021957125514745712,
-0.6448583602905273,
-0.24017044901847... |
Given the task definition and input, reply with output. 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... | 1 | 5 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.28498023748397827,
0.5488437414169312,
0.36379489302635193,
0.1114831417798996,
-0.5111093521118164,
0.20595678687095642,
0.05464797094464302,
0.6100419759750366,
0.4039596915245056,
0.05564190819859505,
-1.031140685081482,
-0.005403568036854267,
-0.39242684841156006,
0.1310774683952331... |
Definition: 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. You are exp... | Stereotype | 2 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.0438423752784729,
0.06657259166240692,
-0.2133132815361023,
0.39321011304855347,
-0.03296930342912674,
0.18417316675186157,
0.7953194975852966,
0.7457360029220581,
0.3107244372367859,
-0.21615947782993317,
-1.0359913110733032,
-0.01114826649427414,
-0.7979774475097656,
-0.06949235498905... |
Given the task definition and input, reply with output. This task is about translating a given French language sentence to English.
Donc maintenant au Centre hospitalier de Harlem quand les patients viennent avec un indice de masse corporelle élevée, le dossier médical électronique génère automatiquement une ordonnanc... | So now at Harlem Hospital Center when patients come in with an elevated body mass index, the electronic medical record automatically generates a prescription for Health Leads. | 5 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.06918177008628845,
0.9396843314170837,
-0.07588721811771393,
-0.3184124827384949,
0.07054387778043747,
-0.3664908707141876,
-0.5309240818023682,
-0.1626501828432083,
0.4532344937324524,
-0.2958669066429138,
0.03258925676345825,
0.48161181807518005,
0.04493555799126625,
0.2120674401521682... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: A maioría dos nenos non van á escola dicindo "" Xenial, dúas horas de matemáticas! ""
Student: | Uczniowie nie wołają "" hura, jutro matma! "". Uczniowie nie wołają "" hura, jutro matma! "". | 6 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.49382439255714417,
0.9897816181182861,
-0.2954792380332947,
-1.170517921447754,
-0.85158371925354,
-0.8421443700790405,
-0.0872834250330925,
0.2858414053916931,
-0.18738391995429993,
-0.4133160710334778,
0.081442691385746,
0.15762415528297424,
-0.8507306575775146,
-0.510676383972168,
... |
Q: Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Abstract: VEPs were recorded with three different spatial frequencies of stimulation in patients affected by idiopathic Parkinsonism and by Parkinsonian synd... | Visual evoked potentials in parkinsonism and dopamine blockade reveal a stimulus-dependent dopamine function in humans. | 7 | NIv2 | task624_ohsumed_question_answering | zs_opt | [
-1.0764119625091553,
-0.06278844177722931,
-0.05334373563528061,
0.7103958129882812,
0.05522812157869339,
0.23142780363559723,
0.7090460658073425,
0.7337732315063477,
0.7299836874008179,
0.2638596296310425,
-0.5611457228660583,
0.8667266368865967,
-0.3413657546043396,
-0.06589768826961517,... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Q: In this paper we formulate the framework of recovering a hidden orthonormal basis given access to a<lb>certain “Basis Encoding Function”. We describe the class of Ba... | Learning a Hidden Basis Through Imperfect Measurements: An Algorithmic Primitive | 4 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
0.09400755167007446,
0.5905510187149048,
-0.02146008610725403,
-0.03935724124312401,
0.46152055263519287,
-0.6300502419471741,
0.718077540397644,
0.8451751470565796,
0.4099944233894348,
0.02614639699459076,
-1.2323873043060303,
0.24480116367340088,
-0.8684121966362,
0.596073567867279,
-0... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Q: Hallam Foe lives in in the Scottish countryside in a house with his father and his new stepm... | Answer: Edinburgh | 9 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.7435718774795532,
0.32214662432670593,
-0.8972157835960388,
-0.7326831817626953,
0.08224153518676758,
-0.4375269114971161,
0.8073087930679321,
0.625571608543396,
-0.5056716203689575,
-0.02299211174249649,
0.2590821087360382,
1.2560279369354248,
-1.4228012561798096,
0.16517037153244019,
... |
Teacher: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
... | -9861 | 2 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.0928841382265091,
0.5444837808609009,
-0.49618038535118103,
-0.2272469699382782,
-0.5500185489654541,
-0.7685680985450745,
0.676730751991272,
1.744788646697998,
0.7438433170318604,
-0.15070796012878418,
-0.25093305110931396,
-0.5059924125671387,
-0.15123818814754486,
-0.2076111137866974... |
Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
The other two men picked up their guitars, stru... | Plural | 5 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.2268747091293335,
0.8950964212417603,
-0.11171895265579224,
-0.07957632094621658,
-0.34849342703819275,
-0.5325519442558289,
0.7115039229393005,
-0.007278100121766329,
0.30320268869400024,
-0.1753835678100586,
-0.49231910705566406,
0.24998967349529266,
-0.2821119725704193,
-0.5628044605... |
Q: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Question: What year did the war end that... | Recruited in the summer of 1744 at the start of King George's War, Governor William Shirley ordered the unit raised as reinforcements for the then-besieged British garrison at Fort Anne in Annapolis Royal | 7 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.6923536658287048,
0.7427717447280884,
-0.44208645820617676,
0.14574402570724487,
-0.5212111473083496,
-1.1208205223083496,
0.5255870819091797,
0.6850400567054749,
0.5372130870819092,
-0.6988720893859863,
-0.2565382719039917,
0.3293960690498352,
-1.0996718406677246,
0.1611701250076294,
... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener | 9 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.30482521653175354,
-0.019484680145978928,
-0.5712738037109375,
0.13369546830654144,
-0.219655379652977,
-1.2593718767166138,
0.7872302532196045,
1.107438564300537,
0.6690233945846558,
-0.5980760455131531,
-1.2524745464324951,
-0.162406325340271,
-1.1801177263259888,
0.05298173427581787,
... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [467, 353, 587, 853, 23, 499, 461, 701]
| 5 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.8277342915534973,
0.3841891884803772,
-0.1357574462890625,
-0.47344619035720825,
-0.0419272780418396,
-0.3051840662956238,
0.8799242377281189,
0.6556442379951477,
-0.14832866191864014,
0.3497277498245239,
-1.1605737209320068,
-0.24059033393859863,
-0.3662284016609192,
-0.411946803331375... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Som jag sade till parlamentet, den uppgift vi har framför oss är enorm o... | As I have told Parliament, the task before us is immense and ambitious, and the Commission needs to have the necessary human resources to respond to this challenge. We hope that we can count on the support of Parliament, and - why not say it - of the Council to secure these resources and to achieve these objectives, so... | 4 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
0.1520003080368042,
1.193974256515503,
0.6530808210372925,
-0.8033052682876587,
0.243714839220047,
-0.7712546586990356,
0.27590376138687134,
0.5073882937431335,
0.13295531272888184,
0.44486188888549805,
0.2936669886112213,
0.4077763259410858,
-0.3240506649017334,
-0.16055545210838318,
0.... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Let me give you an example: Question: Are group 2 innate lymphoid cells ( ... | yes | 8 | NIv2 | task846_pubmedqa_classification | fs_opt | [
0.031904228031635284,
0.006871024612337351,
-0.3785600960254669,
0.5900289416313171,
0.2502538561820984,
-0.1377578228712082,
0.1995052993297577,
0.5905388593673706,
-0.28818362951278687,
0.12002276629209518,
-0.45485442876815796,
0.14796626567840576,
-0.4745561182498932,
0.272344410419464... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Explanation: This is a good example. The above sentence is cor... | Thank you for making such an enormous, progressive contribution to this collective culture. | 4 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-1.1868072748184204,
0.48365098237991333,
-0.1542167067527771,
-0.1404775083065033,
-0.7254477143287659,
-0.7886106967926025,
0.7513360977172852,
0.3763148784637451,
0.9149717092514038,
-0.08233331888914108,
0.03651854768395424,
0.5585712194442749,
-0.2594705820083618,
0.3533809185028076,
... |
Given a sentence in Arabic, generate a new Arabic 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 bei... | Solution: الإستماع إلى الموسيقى هو للمتعة. | 5 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.45935600996017456,
0.18459179997444153,
-0.38946104049682617,
-0.7985200881958008,
-0.6799461841583252,
-0.41549962759017944,
1.3654223680496216,
0.6549981832504272,
0.7658500671386719,
-0.8019983768463135,
-0.6703950762748718,
0.2607767879962921,
-1.1517817974090576,
0.513846755027771,
... |
Definition: In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Input: Question: Jeff found some very dense water. He knows i... | More dense water takes up less space than less dense water. | 2 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.22896483540534973,
0.5726343989372253,
-0.16368705034255981,
-0.4640379250049591,
0.009925231337547302,
-0.04731639847159386,
0.9665734767913818,
0.22566863894462585,
0.7622238397598267,
-0.4189565181732178,
-0.5463416576385498,
0.002548422198742628,
-0.9358023405075073,
0.0154811907559... |
Detailed Instructions: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Problem:[38.59, 105.333, -98.519, 216.797, 68.717, 75.545, 100.542]
Solution: | [ 0.076 0.208 -0.194 0.428 0.136 0.149 0.198] | 8 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.3596667945384979,
0.17696693539619446,
-0.7267606258392334,
-1.5179154872894287,
-0.33209049701690674,
0.2812872529029846,
0.6071285009384155,
-0.2896154224872589,
-0.4154145121574402,
-0.06525573134422302,
-0.6648083925247192,
0.54548180103302,
-0.3563659191131592,
-0.23834988474845886... |
Detailed Instructions: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Problem:A woman in black has her hair rolled in curlers. the woman <sep> (A)... | C | 8 | NIv2 | task1389_hellaswag_completion | zs_opt | [
-0.08123549818992615,
0.6281468868255615,
-1.1677675247192383,
-0.3218202590942383,
-0.3516015410423279,
-0.17527973651885986,
1.0054030418395996,
0.8859745264053345,
0.8790744543075562,
0.5020575523376465,
0.04583100974559784,
-0.11742210388183594,
0.8641579151153564,
-0.6972039937973022,... |
Part 1. Definition
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when th... | blue_treasure_chest | 7 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.263882040977478,
-0.5487315654754639,
-0.2381756603717804,
-0.07628817856311798,
-0.11490143835544586,
-0.2997831106185913,
0.3563616871833801,
0.3793129324913025,
-0.05472449213266373,
0.12506911158561707,
-0.245819091796875,
0.6103790998458862,
-0.11339563876390457,
0.26420164108276367... |
Q: This task is about translating a given Spanish language sentence to English.
Los obstáculos pueden moverse.
A: | And the obstacles can be moving. | 7 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.582183837890625,
1.4727718830108643,
1.0013771057128906,
-0.5439974665641785,
0.1837652325630188,
-0.6918383836746216,
0.1430034041404724,
0.6200777292251587,
0.36703842878341675,
-0.3343196213245392,
-0.12978608906269073,
-0.0646820068359375,
-0.48131200671195984,
0.18857844173908234,
... |
Detailed Instructions: In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Q: Sentence: When a chain of amino acids reaches a stop codon, released from the ribosome. Question: What happens to a chain of amino acids after it reaches ... | released from the ribosome | 9 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
1.425764799118042,
-0.0315026119351387,
-0.2437911331653595,
-0.3629685342311859,
-0.8036589622497559,
-0.25165969133377075,
-0.1878235638141632,
0.7131085395812988,
0.16500183939933777,
-0.25958600640296936,
-0.742856502532959,
0.08954425156116486,
-0.6072958111763,
-0.07219523936510086,
... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: E 'l'equivalente di quasi 1,45 miliardi di dollari statunitensi solo di costi di traduzione.
Output: | Iso supón arredor de 1.450 millóns de dólares só en gasto de tradución. | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.5333837270736694,
0.7592974901199341,
-0.04446792975068092,
0.12795251607894897,
0.02815437875688076,
-0.24888595938682556,
-0.8076783418655396,
1.4476722478866577,
-0.3983825445175171,
-1.006506323814392,
-0.5775435566902161,
0.15577411651611328,
-0.26877230405807495,
0.137988269329071... |
Definition: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: My charger cord had started to come apart. I was in desperate need of a new one.<br />I had purchased some other items from Amazon. I decided to look to see if my cord was available.<br />It was! Different colors... | Positive Review | 2 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.20674175024032593,
-0.45836344361305237,
0.15853048861026764,
-0.46817606687545776,
0.08381138741970062,
-0.8211101293563843,
0.5608677864074707,
0.3377475142478943,
0.5592352747917175,
0.2942989468574524,
-0.4347569942474365,
-0.2630425691604614,
-0.45990189909935,
-0.21633288264274597,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Example Input: و اینکه واقعیتی ثابت درباره ما وجود دارد ، چیزی که در طول زندگی ما ثابت است.
Example Output: Y que es como una verdad permanente acerca de nosotros mismos, Algo que permanece igual durante toda la vida.
Examp... | No sé si se dan cuenta, pero todos tenemos 60 mil millas de vasos sanguíneos en nuestro cuerpo 60 mil millas.
| 3 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.5676565170288086,
0.7981846928596497,
-0.16730082035064697,
-0.09529437869787216,
-0.5294938087463379,
-0.9065884351730347,
0.9386662244796753,
1.288451910018921,
0.36592981219291687,
-0.1772824227809906,
-0.8476729393005371,
0.6681195497512817,
-0.3746582865715027,
0.09536920487880707,... |
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
One example: 少年心 . 重松さんの作品の中でも、一番共感できる作品。 周りの人達に心を閉ざし、気が付いたら周りと距離を置くようになっていた少年が徐々に成長し、心を開... | NEG | 6 | NIv2 | task485_cls_japanese_books_classification | fs_opt | [
0.04161154478788376,
-0.27563583850860596,
-0.28207075595855713,
-0.3625441789627075,
0.8195186853408813,
0.03736305236816406,
1.2270820140838623,
-0.01673947647213936,
0.3609122335910797,
-0.0817473903298378,
-0.6865963935852051,
-0.10879147797822952,
-0.7183934450149536,
-0.1335549056529... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Italian language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *N... | puoi mostrarmi i ristoranti con più di 10 recensioni? | 8 | NIv2 | task173_spl_translation_en_it | zs_opt | [
-0.28097447752952576,
0.8404126167297363,
0.19621039927005768,
0.16142933070659637,
-0.3261122703552246,
-0.2637995779514313,
0.5230128765106201,
0.7924009561538696,
-0.49664416909217834,
-0.83236163854599,
0.2639462351799011,
-0.13684460520744324,
0.09347623586654663,
0.6726943850517273,
... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Not Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.012733947485685349,
0.4867163896560669,
0.43428879976272583,
0.01990697532892227,
-0.5089382529258728,
-0.6478819847106934,
-0.01648416370153427,
1.210913062095642,
0.10916993021965027,
-0.17747430503368378,
-0.3288755416870117,
-0.7882272005081177,
-0.9195700883865356,
-0.06546287238597... |
Detailed Instructions: 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'. The... | D | 9 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.28150424361228943,
0.5574333071708679,
-1.2446999549865723,
-0.8256750106811523,
-0.5393996238708496,
-1.5623128414154053,
-0.025406470522284508,
0.42261600494384766,
-0.042761918157339096,
-0.22325125336647034,
-0.36462217569351196,
-0.5885442495346069,
-0.31249484419822693,
0.199647426... |
Given the task definition and input, reply with output. In this task, given a sentence in the English language, your task is to convert it into the Lao (Laotian) language.
The military is expected to launch a full-scale assault on Taliban militants in the region bordering Afghanistan.
| ຄາດວ່າກອງທັບຈະບຸກເຕັມກຳລັງກັບກຸ່ມທະຫານຕາລີບັນໃນຊາຍແດນອັບການິສະຖານ. | 5 | NIv2 | task554_alt_translation_en_la | zs_opt | [
-0.11830179393291473,
0.8698175549507141,
-0.14618195593357086,
-0.46231910586357117,
-0.07858078181743622,
-0.12470187246799469,
0.3584621250629425,
0.6563126444816589,
-0.16852660477161407,
-0.23787438869476318,
-0.37080109119415283,
0.5869913697242737,
-0.5285078883171082,
0.16494627296... |
In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
One example is below.
Q: name[Aromi], eatType[... | For cheap Italian food near the riverside is the family friendly pub called The Olive Grove | 9 | NIv2 | task957_e2e_nlg_text_generation_generate | fs_opt | [
0.05744483321905136,
0.6704727411270142,
-0.2625328302383423,
-0.36000490188598633,
-0.1691308468580246,
-0.5144591331481934,
0.7123297452926636,
0.29240572452545166,
0.19906899333000183,
-0.5154505968093872,
0.5629352927207947,
-0.041013117879629135,
-0.6678061485290527,
-0.06097977608442... |
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Ex Input:
壁 . PINK FLOYDの傑作ｺﾝｾﾌﾟﾄｱﾙﾊﾞﾑ「THE WALL」。世界や人種、人間同士の「壁」について考えた当時のﾊﾞﾝﾄﾞの頭脳であるﾛｼﾞｬ... | NEG
| 1 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.5539488196372986,
0.019047539681196213,
-1.14531672000885,
0.3173299729824066,
0.5935011506080627,
-0.52287358045578,
1.06245756149292,
0.23914645612239838,
0.13306552171707153,
0.9222526550292969,
-0.02846222184598446,
0.14573021233081818,
-0.6249188184738159,
0.04006393998861313,
-0.... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | I gave him a good whack to let him know I didn't care for his joke.
****
| 4 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.41240015625953674,
1.096069574356079,
-0.36387762427330017,
-0.232648104429245,
-0.5433623790740967,
-0.4915885329246521,
0.5055166482925415,
0.6056396961212158,
-0.0382746085524559,
-0.0834825187921524,
-0.26911187171936035,
0.8469897508621216,
-0.037528231739997864,
0.0870118588209152... |
Write a question from the passage such that it identifies a character (a person or a thing) in the passage.
Q: The White House says China's proposal to abolish presidential term limits — a move that could make Xi Jinping president for life — is an internal matter for Beijing.
"I believe that's a decision for China to m... | Who praised Xi? | 4 | NIv2 | task886_quail_question_generation | zs_opt | [
-0.13634982705116272,
0.011694157496094704,
-1.0285601615905762,
0.4028768539428711,
0.40709757804870605,
-0.7324187755584717,
0.5411646366119385,
0.6411369442939758,
-0.21283826231956482,
0.6212317943572998,
-0.19639141857624054,
0.4313880205154419,
0.05697892606258392,
0.3755379915237427... |
Q: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: I ask my colleagues and ev... | who did paul ryan ask thoughts from? | 7 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.6866746544837952,
0.7799528241157532,
-0.21375377476215363,
-0.22170692682266235,
0.2843165397644043,
-1.4574146270751953,
0.6635105609893799,
0.4921264052391052,
0.3140227198600769,
0.39956459403038025,
0.1911991536617279,
0.7341295480728149,
-0.23853038251399994,
0.25179314613342285,
... |
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.
Q: Sentence: 'a dirty nasty toilet that is broken in half'. Count the number of vowels in the given sentence.
A: 12
****
Q: Sentence: 'the door on a small fridge i... | 16
****
| 4 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.34809380769729614,
1.1680465936660767,
-0.8608999252319336,
-0.4833677411079407,
-0.09680726379156113,
0.000759767834097147,
-0.37390559911727905,
0.6014243364334106,
-0.2124967873096466,
-0.22926460206508636,
-0.47931623458862305,
0.040083304047584534,
0.1316254884004593,
-0.72080957889... |
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
| 7 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.25808942317962646,
0.2889769673347473,
0.25378531217575073,
-0.023640664294362068,
-0.457356333732605,
-0.7251294255256653,
1.1162254810333252,
0.43241044878959656,
-0.19501939415931702,
-0.4674263298511505,
-0.5146996974945068,
-0.5284720659255981,
-0.7774777412414551,
0.168948769569396... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
So it's like the different layers of what we are made of and what we present to the world as an identity.
Output: | Então são como as diferentes camadas do que somos feitos e o que representamos para o mundo como uma identidade. | 1 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.010835755616426468,
0.993419885635376,
0.41713178157806396,
0.012339086271822453,
-0.2976536750793457,
-0.5716043710708618,
-0.4809246361255646,
0.7447180151939392,
0.49611321091651917,
0.23075509071350098,
-0.5275529026985168,
0.30425095558166504,
-0.6208913922309875,
-0.02322740666568... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Q: claim: Allow women to compete in the same leagues as men.
p... | support | 4 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.35393190383911133,
0.5919960141181946,
-0.01453428715467453,
-0.4291231036186218,
0.1475880742073059,
-0.15104278922080994,
0.943625807762146,
0.5828747153282166,
0.5871989130973816,
-0.3219541907310486,
-0.6912217736244202,
0.13156330585479736,
-0.5319669842720032,
0.229743093252182,
... |
Detailed Instructions: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the ... | Does collagen-to-smooth muscle ratio help prediction of prognosis after pyeloplasty? | 9 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.920105516910553,
0.6635632514953613,
-0.7038035988807678,
0.2610234320163727,
0.7537082433700562,
-0.02212829329073429,
0.9728893637657166,
0.8694542050361633,
0.21874921023845673,
0.7445520162582397,
-0.13690131902694702,
0.082980677485466,
-0.4450856149196625,
0.20670269429683685,
0.... |
You will be given a definition of a task first, then some input of the task.
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... | OFFENSIVE | 1 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.1504995822906494,
0.3521853983402252,
0.6499320268630981,
0.864880383014679,
-0.2511574625968933,
-0.31250178813934326,
0.3553159236907959,
0.7205580472946167,
0.6698318719863892,
0.47214096784591675,
0.23963938653469086,
-0.13930588960647583,
-0.29777681827545166,
-0.7793514132499695,
... |
Teacher:Translate the given Spanish text to English
Teacher: Now, understand the problem? Solve this instance: A carton (90) for packaging articles comprising a first plurality of walls (12, 14, 16, 18, 20) including a top wall (20), base wall (16), first side wall (14) and second side wall (18) forming a first tubular... | Una caja de cartón (90) para embalar artículos que comprende una primera pluralidad de paredes (12, 14, 16, 18, 20) que incluye una pared (20) superior, pared (16) de base, primera pared (14) lateral y segunda pared (18) lateral que forman una primera estructura tubular, cada extremo de la primera estructura tubular se... | 6 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.25892403721809387,
0.20719119906425476,
0.02486802637577057,
-0.382815420627594,
-0.024652693420648575,
0.02968374639749527,
-0.8647388815879822,
0.8452292680740356,
-0.9337759613990784,
0.8997228145599365,
0.31554049253463745,
0.5108743906021118,
-0.3877304792404175,
-0.0512955449521541... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: Teñen propiedades eléctricas e magnéticas moi similares, se non idénticas.
Output: | They have either identical or very similar electrical and magnetic properties. | 2 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.4494868218898773,
1.0547274351119995,
0.06588447093963623,
-0.981281578540802,
0.14621847867965698,
-1.3551220893859863,
0.35140013694763184,
0.6191108226776123,
0.1960131824016571,
0.3725144863128662,
-0.344046950340271,
0.15655693411827087,
-0.67082679271698,
0.014898253604769707,
-... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example Input: نتائج عملنا الميداني تُستعمل لإنتاج منتجات إعلامية ومخرجات فعلية يستغلها القيمون على التراث والباحثون.
Example Output: I risultati del nostro lavoro sul campo vengono usati per produrre prodotti mediatici e di... | Questa è una roccia larga circa 30 m. più o meno come una di quelle che esplose sopra Tunguska e colpì l'Arizona 50.000 anni fa.
| 3 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.020897161215543747,
0.2582753896713257,
-0.652489960193634,
0.08993358910083771,
-0.3100927174091339,
-0.7270597219467163,
0.6723036170005798,
1.1579725742340088,
-0.31480860710144043,
0.056839823722839355,
-0.5443112850189209,
1.191424012184143,
-0.8158655762672424,
-0.2790241837501526... |
Definition: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'm... | book | 2 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.0673498809337616,
-0.015257011167705059,
0.08993641287088394,
-0.3574448227882385,
0.44573354721069336,
-0.4004463851451874,
0.42224937677383423,
-0.12854328751564026,
0.18891257047653198,
0.1299290508031845,
-0.0052775368094444275,
0.1752534806728363,
-0.718938946723938,
-0.314686924219... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
این نقشه ی استکهلم ، شهر زادگاه من است. | هذه خارطة ستوكهولم ، مسقط رأسي | 0 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.58814537525177,
0.46286213397979736,
-0.5066381692886353,
-0.8343073725700378,
-0.4555653929710388,
-0.11914435029029846,
0.8213902711868286,
0.4405277967453003,
0.8697601556777954,
-0.04102737456560135,
-0.18094895780086517,
1.0066413879394531,
-0.3329785466194153,
-0.21267977356910706... |
Detailed Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. I... | c | 8 | NIv2 | task231_iirc_link_classification | zs_opt | [
-0.08996908366680145,
0.4014611542224884,
-0.4900830388069153,
-0.6428135633468628,
-0.2314136028289795,
0.12365203350782394,
0.22031691670417786,
1.0384130477905273,
0.060455165803432465,
0.3411250412464142,
0.10575726628303528,
0.5034118890762329,
-0.8465315103530884,
0.12489788979291916... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
[EX Q]: في مدينة نيويورك شارع 34 الاختناق المروي سوف يستبدل قريبا بنظام مترابط لممرات محددة للسيارات
[EX A]: ニューヨークの34丁目では車種別の専用レーンが用意され交通渋滞が解決されようとしています
[EX Q]: وماذا يفعلون عندما يكونون هناك ؟
[EX A]: 彼らはそこで何をするのでしょう ？
... | いいですか ？ 手の平が上です
| 6 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.28599047660827637,
-0.17913737893104553,
-0.1638665497303009,
-0.3644556701183319,
-0.12168437242507935,
0.3191061019897461,
0.7027797102928162,
0.7195965051651001,
0.5241613388061523,
-0.3627088963985443,
-0.6662759780883789,
0.15650765597820282,
-0.9084905385971069,
0.3491519689559936... |
Q: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning... | How many of the applicants did Fordham not accept in 2019? | 7 | NIv2 | task026_drop_question_generation | zs_opt | [
0.7147702574729919,
0.14756207168102264,
-0.13428443670272827,
-0.28506165742874146,
0.2532849609851837,
-0.4173816442489624,
-0.048137493431568146,
0.5679535269737244,
-0.05456645041704178,
0.1442156583070755,
-0.2707151174545288,
0.4591992199420929,
-0.7870573997497559,
0.151832431554794... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Example Input: And I hope you can see that there are some ring-like structures in the middle image, which is water.
Example Output: الذي اتمنى ان تروه هنا ان هنالك بنى حلقة الشكل في منتصف الصورة وهي قطرات ماء
Example Input... | وقد احتاجوا لأن يطوروا 10 نماذج أولية للوصول الى شيء بامكانه الطيران فعلاً.
| 3 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
-0.4636974334716797,
0.2620156705379486,
0.08692522346973419,
-0.6512067317962646,
0.44789448380470276,
-0.3842523694038391,
0.7805752754211426,
0.41716623306274414,
-0.15013515949249268,
-0.2600312829017639,
-0.08707761019468307,
0.15236705541610718,
-0.6707436442375183,
0.163129627704620... |
Q: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Personality: I own 3 cats.
I'm a very funny woman.
I love candy.
I deliver packages for a ... | There you go! I used to have three cats at one point. | 7 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.7237056493759155,
0.037988290190696716,
-0.5042563676834106,
-0.2566658556461334,
-0.211238831281662,
-0.3277779519557953,
1.3015661239624023,
0.16642126441001892,
-0.3466702103614807,
-0.3393825888633728,
-0.09279364347457886,
0.5107306241989136,
-0.1894054263830185,
0.0736979618668556... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Italian.
We think we're going to save more next year.
| Pensiamo che risparmieremo di più l'anno prossimo. | 5 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.32029154896736145,
1.1699036359786987,
0.46456843614578247,
0.22277837991714478,
0.1732385903596878,
-1.0222816467285156,
0.20166704058647156,
0.7338193655014038,
0.22315901517868042,
0.029415685683488846,
-0.1921311616897583,
0.6589335203170776,
-0.7904415130615234,
0.21640780568122864... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Let me give you an example: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
The answer to this example can be: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejs... | Każde wyjście było wyprawą, było przygodą. | 8 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.7517966032028198,
1.0616806745529175,
-0.5137679576873779,
-0.49236100912094116,
-0.11738988012075424,
-0.9135429263114929,
1.1995432376861572,
-0.20344781875610352,
-0.2058461457490921,
-0.2874143719673157,
-0.34633249044418335,
0.7260945439338684,
-0.008473476395010948,
0.226015225052... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
PROBLEM: Non stiamo parlando di uno scontro di civiltà.
SOLUTION: Ou seja, não estamos a falar de um choque de civilizações.
PROBLEM: NT: Non volevano darmi i soldi.
SOLUTION: NT: Eles não me quiseram ... | Eu acho que ele merece ser ouvido.
| 8 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
0.17862313985824585,
0.46111398935317993,
0.4198477268218994,
0.3143491744995117,
-0.2826310694217682,
-0.23558752238750458,
0.2936326265335083,
0.6996518969535828,
0.49369511008262634,
-0.3935258388519287,
0.22074119746685028,
0.07315531373023987,
-0.6093844771385193,
0.11704473942518234,... |
Q: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/L... | 0.2574 | 7 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.36213213205337524,
0.48944705724716187,
-0.2104398012161255,
-0.6144754886627197,
0.09625283628702164,
-0.28961336612701416,
0.9733325839042664,
0.32810914516448975,
-0.043735940009355545,
-0.6058782339096069,
-0.9669612050056458,
0.5326946973800659,
-0.15305769443511963,
0.138534381985... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
One example is below.
Q: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
A: Con el crecimiento, los países y las sociedades ingresan e... | Emisión de Dióxido de Carbono, tonelada per cápita. | 9 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-1.0219378471374512,
0.3393811881542206,
0.3577229678630829,
-0.5860669612884521,
-0.2314627468585968,
-0.6631114482879639,
-0.2634202837944031,
0.8311721682548523,
-0.46385377645492554,
-0.40522342920303345,
-0.30385202169418335,
-0.08494430780410767,
-0.32368922233581543,
-0.031834673136... |
You will be given a definition of a task first, then some input of the task.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast'... | music | 1 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.2044975459575653,
0.458151638507843,
-0.08360131084918976,
-0.15189144015312195,
0.6296719312667847,
-0.06339240074157715,
0.14258801937103271,
0.2195928990840912,
-0.22062766551971436,
0.2218983769416809,
0.01468663290143013,
0.02338092401623726,
-0.3971315026283264,
-0.600227713584899... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example input: Comment: Enough already. Cut the... | Threat | 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.6779664754867554,
0.9188770651817322,
0.6890530586242676,
-0.058588460087776184,
-0.49894559383392334,
-0.7463806867599487,
0.774002194404602,
0.39215633273124695,
-0.2667698264122009,
0.02650274708867073,
-0.04910891503095627,
0.34096503257751465,
-1.113502025604248,
-0.780557632446289... |
instruction:
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
question:
news:Nokian Tyres ' tyres are considered genuine winter tyres in Russia .
polarity:neutral
answer:
true
... | false
| 9 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.6477717161178589,
-0.1416635513305664,
-0.5183935165405273,
0.3270568251609802,
-0.4584144949913025,
-0.18201225996017456,
0.792907178401947,
0.7628064155578613,
0.7200056314468384,
-0.1525035798549652,
-0.7712187767028809,
0.5311294198036194,
-0.20016920566558838,
0.13898612558841705,
... |
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