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 |
|---|---|---|---|---|---|---|
Definition: In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
... | [-18] | 2 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.8909550905227661,
0.6621378660202026,
-0.47413158416748047,
-0.804036021232605,
0.09919071197509766,
-0.23675362765789032,
1.34113347530365,
0.4221659302711487,
0.6073974370956421,
0.40400832891464233,
-0.9942288398742676,
-0.2530254125595093,
-0.14244112372398376,
-0.17289669811725616,... |
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.
One example: I have bought several of the Vitality canned dog food products and have found them all to be of goo... | Yummy coffee, not a fan of coffee grinds though!! | 6 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.732708752155304,
-0.2047640085220337,
-0.06154708191752434,
-0.6093831062316895,
-0.0024246310349553823,
0.11053331196308136,
0.7801840305328369,
0.4178840219974518,
-0.38975003361701965,
0.04845903068780899,
0.3310720920562744,
-0.08575282990932465,
-0.3924274146556854,
-0.043447010219... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Room போட்டு யோசிப்பங்களோ... | Not Hope Speech | 0 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.4152909517288208,
-0.2062665820121765,
0.7021170854568481,
0.6075420379638672,
-0.15610164403915405,
-0.7994855642318726,
-0.36720648407936096,
0.7585506439208984,
-0.6262389421463013,
0.3988487720489502,
0.21592335402965546,
0.147200345993042,
-0.2408827245235443,
-0.5872442722320557,
... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Let me give you an example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్ట... | THAT'S THE LAST TIME I WANNA HEAR YOU SAY MY NAME. | 8 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.2984791398048401,
0.9622889161109924,
0.45778894424438477,
0.29313936829566956,
-0.17038856446743011,
-0.8932299613952637,
-0.3705570697784424,
0.008275842294096947,
-0.7604517936706543,
-0.5018995404243469,
-0.20191690325737,
-0.11497219651937485,
-0.5474362373352051,
-0.41058474779129... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Of course , he had him in the boat all day . Meanwhile , I was cleaning out the studio . The m... | What might be different if the narrator still used the studio ? | 1 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.046841658651828766,
0.9126260280609131,
-0.7489801645278931,
-0.02134058251976967,
-0.028575722128152847,
-0.029011566191911697,
0.2918476462364197,
0.3632359504699707,
-0.16627933084964752,
0.3146136403083801,
-0.0268696378916502,
-0.21330980956554413,
-0.25914689898490906,
0.064413733... |
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... | False | 8 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.11204766482114792,
-0.030157167464494705,
-0.7141789197921753,
-0.011303783394396305,
0.2721545696258545,
-0.8212144374847412,
0.015428519807755947,
0.9827331304550171,
-0.04788452386856079,
0.26069754362106323,
-0.7143992185592651,
0.6036618947982788,
-0.6965866088867188,
-0.27920174598... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
One example: Sentenc... | No | 6 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.33483970165252686,
1.3064548969268799,
0.06187022849917412,
-0.4803236722946167,
-0.1936964988708496,
-0.493525892496109,
0.3535417914390564,
0.4798514246940613,
0.32572633028030396,
-0.5663489103317261,
-1.0123624801635742,
0.48695534467697144,
-0.5767539739608765,
-0.18068236112594604... |
Given the task definition and input, reply with output. You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
For my new diet plan for... | False | 5 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-1.0060878992080688,
0.6299655437469482,
-0.16468000411987305,
0.3912549316883087,
-0.7453799247741699,
-0.5736749172210693,
0.08595424890518188,
0.6908026933670044,
0.07176712900400162,
-0.19682827591896057,
-0.5320955514907837,
-0.12025821954011917,
-0.3708880543708801,
0.345105588436126... |
Q: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in... | No | 7 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-1.0045987367630005,
0.714556097984314,
0.6579680442810059,
-0.16724753379821777,
0.4393616318702698,
-1.1561763286590576,
-0.4289661645889282,
0.6243776082992554,
-0.6138179898262024,
0.18945670127868652,
0.02368481270968914,
-0.3846814036369324,
-0.8168740272521973,
0.12869662046432495,
... |
Given the task definition and input, reply with output. In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
What mountains lie in the southern region of the nation with 21.550 points by a pair at the Aerobic Gymna... | Caucasus | 5 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.5210515260696411,
0.5753305554389954,
-0.461877703666687,
-0.18485569953918457,
-0.47039878368377686,
-0.14941217005252838,
0.502737283706665,
0.016236649826169014,
-0.6314440965652466,
-0.8834269642829895,
-0.8756858706474304,
0.7399105429649353,
-0.42326048016548157,
-0.08770953863859... |
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
| 3 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.6470787525177002,
-0.18254128098487854,
0.22077980637550354,
-0.08162105828523636,
-0.11724215000867844,
-0.6875255107879639,
0.979209303855896,
1.1004319190979004,
-0.6816308498382568,
-0.10446873307228088,
-0.6554322242736816,
-0.5137360095977783,
-0.5252804756164551,
-0.23949332535266... |
Definition: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Input: Category: moral characteristic
Words: unprejudiced, texture, fair, impartial, well
Output: | texture | 2 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.5628248453140259,
0.5747133493423462,
0.6434204578399658,
-0.40549856424331665,
-0.26956409215927124,
0.03856880962848663,
0.02554759569466114,
-0.3128823935985565,
0.2429102659225464,
-0.21685676276683807,
-0.7388496398925781,
0.19797849655151367,
-0.7384876608848572,
0.023065891116857... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | X | 9 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6409334540367126,
0.09578830003738403,
-0.23289385437965393,
0.26765644550323486,
-0.17259261012077332,
-0.4712567627429962,
0.6303117275238037,
0.9400925040245056,
-0.6710145473480225,
-0.0523298904299736,
-0.7801973819732666,
0.20116740465164185,
-0.5458751916885376,
0.3554251194000244... |
Detailed Instructions: You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
Problem:Sentence: Michael likes books about dinosaur... | Karen and Micheal go to the library because Micheal likes books about dinosaurs, cowboys, and fireworks. | 8 | NIv2 | task051_multirc_correct_answer_single_sentence | zs_opt | [
-0.42436110973358154,
0.3303292691707611,
-0.4839821457862854,
-0.3378274440765381,
-0.5004571676254272,
-0.16966353356838226,
0.887274980545044,
-0.08358651399612427,
0.4969216585159302,
-0.6436773538589478,
-0.0368681438267231,
-0.2366788685321808,
-0.7824060320854187,
0.4025190472602844... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
[EX Q]: Ma è terribile. Siamo homo sapiens.
[EX A]: اما این وحشتناک است. ما انسان هوشمندی هستیم.
[EX Q]: Non sto parlando della tecnologia degli oggetti per quanto sia interessante.
[EX A]: من در مورد تکنولوژی اشیا صحبت نمی... | و حقیقت این است که من دقیقا به آنجا نرسیده ام
| 6 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.40056097507476807,
0.4662232995033264,
-0.01343848928809166,
-0.1324022263288498,
-0.5101748704910278,
-1.062041997909546,
0.24305513501167297,
0.1851772665977478,
0.10528118908405304,
0.21399861574172974,
-1.1969019174575806,
0.4808921217918396,
0.29745763540267944,
0.02114755660295486... |
Definition: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the positi... | 5, I purchased it and brought it home. | 2 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.43377485871315,
0.6338416337966919,
0.13616986572742462,
-0.4314333200454712,
0.5593675374984741,
-0.053397949784994125,
0.13814625144004822,
0.3098248243331909,
0.11036255955696106,
0.16896048188209534,
-0.5949610471725464,
-0.5120007991790771,
-0.40237173438072205,
0.4120895266532898,... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Our looks and attire separated us from the ranks of the faithfulwe had neither beards nor caste... | हमारी न तो दाढ़ी थी और न हमारे मत्थों पर कोई टीका वगैरह था.हम जुलूस में शामिल लोगों और उनके कार्यकर्ताओं पर आपस में टीका-टिप्पणी करते चल रहे थे , तभी हमारे खिलाफ गंदे गंदे नारे लगाये जाने शुरू हो गये और कुछ धक़्का-मुक़्की भी हुई । | 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.12014731019735336,
0.41303837299346924,
0.281659871339798,
-0.19166851043701172,
-0.49420109391212463,
-1.0479086637496948,
0.3260684013366699,
0.48178523778915405,
-0.1438225507736206,
-0.23254023492336273,
-0.1438792198896408,
-0.14126744866371155,
-0.6976010799407959,
0.0820430293679... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Does vagus nerve stimulation have antidepressant effects in the kainic acid model for temporal lobe epilepsy? | 4 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.495267778635025,
-0.2639947235584259,
-0.29664909839630127,
-0.2918980121612549,
-0.40535348653793335,
-0.6810603737831116,
1.012608528137207,
0.7228754758834839,
0.3346210718154907,
0.5465137958526611,
-0.2534251809120178,
0.40240973234176636,
-0.9355581998825073,
0.2605535387992859,
... |
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 made a giant caramel sundae for PersonY because _ loved making different kinds of desserts. | 5 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.8047568798065186,
0.6289834380149841,
0.20523154735565186,
-0.0721912831068039,
0.08969926089048386,
-0.522284746170044,
0.817815899848938,
0.9982770085334778,
0.004895429126918316,
-0.7408410310745239,
-0.029195457696914673,
-0.30183321237564087,
-0.715251088142395,
0.21984437108039856,... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Ultimamente mi sembra di passare la maggior parte del mio tempo a zigzagare di città in città, di studio televisivo in studio televisivo, di intervista in intervista, e di servire il libro in bocconcini ... | נראה שאני מבלה את מרבית זמני בימים אלו בריצות מעיר לעיר, מאולפן לאולפן מראיון לראיון, מגיש את הספר במנות קטנות. | 3 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.5646163821220398,
0.7609494924545288,
-0.11131401360034943,
-0.072938933968544,
0.21102091670036316,
0.4708012044429779,
-0.20510424673557281,
0.33352720737457275,
0.2381369173526764,
-0.7614009380340576,
-0.2817021310329437,
0.11827055364847183,
-1.5648906230926514,
-0.4521391987800598... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_RUN I_RUN I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK | 6 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.21704590320587158,
0.6896247863769531,
-0.305548757314682,
-0.022637275978922844,
0.13675297796726227,
0.06887120008468628,
0.3669110834598541,
0.13327525556087494,
-0.21606916189193726,
-0.4614071249961853,
-0.9108626842498779,
-0.32993564009666443,
-0.7777791619300842,
-0.1592049747705... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['8', 'M', 'Q', 'C', '3'], ['8', 'M', 'Q', 'C', '9'], ['8', 'M', 'Q', '3', '9'], ['8', 'M', 'C', '3', '9'], ['8', 'Q', 'C', '3', '9'], ['M', 'Q', 'C', '3', '9']]
| 0 | NIv2 | task208_combinations_of_list | fs_opt | [
0.6142657399177551,
-0.04805998131632805,
-0.662144124507904,
0.15941867232322693,
0.37185347080230713,
-0.6630842685699463,
1.0791079998016357,
1.025708794593811,
-0.5724543333053589,
0.15111985802650452,
-0.5007678270339966,
-0.28915202617645264,
-0.5765731334686279,
0.11908899247646332,... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: בפשטות, כל אחד מהמונחים האלה מתייחס לחלק מהחלקיקים.
Student: | Básicamente cada un deses termos refíresa a algunha das partículas. | 6 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.727647066116333,
0.5337367057800293,
0.42190495133399963,
-0.8226627111434937,
-0.5033745765686035,
-0.9826958179473877,
0.7913011312484741,
0.5717443227767944,
0.3365051746368408,
-0.22999528050422668,
-0.2573168873786926,
0.18942449986934662,
-0.5453512668609619,
-0.061661627143621445... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
--------
Question: Her mother died while giving birth to her, and no one had any idea who her father was. "" For two weeks, she became my companion, slept with me.
Answer: Sua madre è morta dandola alla luce, e nessuno sa ... | Abbiamo sviluppato un microcomputer che le abbiamo sistemato dietro la schiena, attraverso il quale Amanda riesce ad elaborare ciascun segnale muscolare.
| 7 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.3915397524833679,
0.7864066362380981,
-0.3466128408908844,
0.09478077292442322,
-0.6734756231307983,
-0.118397556245327,
0.438004732131958,
1.2252838611602783,
0.36309701204299927,
0.2541060745716095,
-0.1548331081867218,
0.8268892765045166,
-0.42799609899520874,
0.02492459863424301,
... |
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 | 8 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
-0.587361216545105,
0.5124308466911316,
-0.7270851731300354,
-0.6133929491043091,
-0.5580397248268127,
-0.6430075764656067,
-0.08415228128433228,
0.4668141007423401,
0.20245812833309174,
-0.5662789344787598,
-1.2732657194137573,
-0.001562819117680192,
-0.025176972150802612,
-0.259595662355... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: This device was exactly w... | Good Review | 6 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.39300698041915894,
0.029656514525413513,
-0.016998346894979477,
-0.10995563119649887,
0.29592999815940857,
-1.1106789112091064,
0.6037539839744568,
1.0030494928359985,
0.2256702482700348,
0.2462315410375595,
0.16374751925468445,
0.03640444949269295,
-0.2954897880554199,
-0.3927870392799... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
[EX Q]: Elas dividíanse de vagar, e despois dunhas semanas de cultivo, sempre morrían.
[EX A]: Dzielą się wolno, a po kilku tygodniach hodowli nawet obumierają.
[EX Q]: Ti tes, por suposto, o cerebro préto da asistencia ... | Jest więc wiele powodów do świętowania tu, na konferencji TED, i w innych miejscach.
| 6 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-1.1786749362945557,
0.4475683569908142,
-0.22130697965621948,
-0.28749483823776245,
-0.30113354325294495,
-0.5603801608085632,
0.5507938861846924,
-0.45711225271224976,
-0.4588940441608429,
-0.17863836884498596,
-0.2762637436389923,
0.024943914264440536,
-0.1759674847126007,
0.73590433597... |
Detailed Instructions: 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 answer must be in the form of the letters E, C, and N res... | N | 4 | NIv2 | task190_snli_classification | fs_opt | [
-0.4685841500759125,
0.3271852731704712,
0.5472190976142883,
-0.26263928413391113,
0.025085553526878357,
-1.0782990455627441,
-0.17547740042209625,
0.971879243850708,
0.43093815445899963,
0.49820876121520996,
-0.4745367169380188,
-0.2661251425743103,
-0.46651384234428406,
-0.32871082425117... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
(Śmiech) Opublikował wiele filmów o przyrodzie.
Solution: (Risate) E infatti aveva già pubblicato tanti... | In un certo senso, come nell'affermazione di Tolstoy che osserva che ogni matrimonio è infelice in un modo differente, ogni società scomparsa o in pericolo è diversa ognuna ha dettagli differenti. Ma nondimeno, ci sono alcuni tratti comuni che emergono comparando le società passate che non sono collassate e le società ... | 0 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.7831555604934692,
0.731349527835846,
0.08604949712753296,
0.15752869844436646,
-0.48541927337646484,
0.600655198097229,
0.9801914095878601,
0.41310542821884155,
-0.30979958176612854,
-0.6673880815505981,
-0.41310757398605347,
0.33659690618515015,
-0.983038604259491,
0.37923017144203186,... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to p... | Ozone Ozone is a highly toxic invisible gas. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.20939789712429047,
0.3638900816440582,
-0.5915385484695435,
-0.08497093617916107,
-0.09401790052652359,
-1.130977749824524,
-0.026080694049596786,
0.5392616987228394,
-0.3240278959274292,
-0.11989981681108475,
-1.19204580783844,
0.4387710988521576,
-0.5169252157211304,
0.2265384197235107... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | B | 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.26019829511642456,
0.24521732330322266,
-0.035900991410017014,
-0.6961356401443481,
0.2292311042547226,
-0.12508012354373932,
1.2355444431304932,
0.7417516112327576,
-0.03285104036331177,
-0.34786292910575867,
-0.1950811743736267,
0.11594077199697495,
-0.10887804627418518,
0.134308874607... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if th... | Offensive | 1 | NIv2 | task1537_tamil_offenseval_dravidian_classification | zs_opt | [
-0.10661496967077255,
0.8354389667510986,
0.6361134052276611,
0.2118503302335739,
-0.11920087039470673,
-1.0695297718048096,
0.17461344599723816,
-0.15017709136009216,
-0.05450389161705971,
-0.3539567291736603,
0.12400633096694946,
-0.2348921298980713,
-0.6989646553993225,
-0.3439813852310... |
In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
Example input: Passage: 'The size of a ma... | True | 3 | NIv2 | task520_aquamuse_answer_given_in_passage | fs_opt | [
0.3123123049736023,
0.07856258004903793,
-0.20911905169487,
0.237375408411026,
-0.08517518639564514,
0.13714945316314697,
0.5257920026779175,
0.5392603874206543,
-0.08332251012325287,
0.5782582759857178,
-0.10372680425643921,
0.5221530199050903,
-0.8908515572547913,
0.20806974172592163,
... |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Consider Input: Passage: Construction is the process of constructing a building or infrastructure. Construction differs from manufacturing in ... | Output: Planet of Giants
| 2 | NIv2 | task1608_xquad_en_answer_generation | fs_opt | [
0.1017351746559143,
0.8743128776550293,
0.23859074711799622,
0.06940172612667084,
0.17881906032562256,
0.06349942833185196,
-0.09327709674835205,
0.33497190475463867,
0.13523927330970764,
0.49837759137153625,
-0.24166575074195862,
1.3759766817092896,
-0.11089901626110077,
-0.70755827426910... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | When he walked in the arcade next door, a pinball machine caught his eye. He walked up to play it, and happily put all of his quarters in. Suddenly, the game jammed and Dale lost all of his money. | 8 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.8724345564842224,
0.3868280053138733,
-0.17621228098869324,
0.39757072925567627,
0.4922106862068176,
-0.9955998659133911,
0.1812286078929901,
1.0745034217834473,
-0.06300020217895508,
-0.0038957828655838966,
-0.3549184203147888,
0.012436279095709324,
-0.32987067103385925,
0.3861362636089... |
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.
--------
Question: 2, ['1381', '8169', '5767', 'F', 'r', 'K', 'B', '6335', 'c', '7819', '2511', 'G', 'A', 'W', '8... | C, 2517, 2265, 93, a, 2533, H, 2361, 4631, 4343, 3185
| 7 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.11764293909072876,
-0.10720649361610413,
-0.24136129021644592,
-0.4852665364742279,
-0.35936933755874634,
-0.4140312969684601,
0.7927650809288025,
0.2620001435279846,
-0.6923944354057312,
0.2042434811592102,
-0.9409286975860596,
0.09025852382183075,
-0.2300868034362793,
0.259309798479080... |
Given a scientific passage and an answer, generate a question for the given answer.
[Q]: Passage: Images in a plane mirror are reversed left and right but not reversed top and bottom. Answer: plane mirror
[A]: Images in what type of mirror are reversed left and right but not reversed top and bottom?
[Q]: Passage: Al... | During fetal development of the heart, what does the bulbus cordis develop into?
| 5 | NIv2 | task594_sciq_question_generation | fs_opt | [
1.0128202438354492,
0.6444981098175049,
-0.0724751204252243,
0.044536445289850235,
-0.0827692300081253,
-0.5069027543067932,
0.5364695191383362,
0.7010551691055298,
0.2428055852651596,
-0.06221849471330643,
-0.4010591506958008,
0.19899943470954895,
-1.0041426420211792,
0.6821074485778809,
... |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | to cook steak thoroughly | 4 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.37954187393188477,
1.0906803607940674,
-0.554110050201416,
0.17500118911266327,
-0.5247842073440552,
-1.1488449573516846,
0.2710188925266266,
0.23748484253883362,
0.04607759416103363,
0.2222772091627121,
0.03712830692529678,
0.49442994594573975,
-0.17997995018959045,
-0.25778335332870483... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example: A man is spreading shreded cheese on a pizza.
Output: Un bărbat pune brânză mărunțită pe o pizza... | Vaci alb cu negru care pasc într-un țarc. | 1 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.5376954674720764,
0.46406587958335876,
0.5486494898796082,
0.017320115119218826,
0.22363579273223877,
0.4839550256729126,
0.7923164963722229,
1.20072603225708,
0.5882050395011902,
-0.17721280455589294,
0.03401535004377365,
0.9635359048843384,
-0.13090242445468903,
-0.20652464032173157,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possibl... | Ed's girlfriend offers to make a special dish for Ed >Causes/Enables> Ed's girlfriend boils the rice | 1 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.08942572772502899,
1.1376898288726807,
0.18697452545166016,
0.03889354318380356,
-0.14891467988491058,
-0.7228400707244873,
0.6952887773513794,
0.9471202492713928,
-0.31155264377593994,
-0.15327492356300354,
-0.6661679744720459,
-0.20138385891914368,
0.21273194253444672,
-0.291887402534... |
Teacher: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 t... | Yes | 6 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.5967726707458496,
0.10973915457725525,
0.11067961901426315,
-0.19986259937286377,
-0.2863975167274475,
-1.3307546377182007,
0.935786247253418,
0.3174601197242737,
-0.36027103662490845,
-0.12119276821613312,
-0.08946676552295685,
-0.16822132468223572,
-0.32273006439208984,
-0.185560196638... |
TASK DEFINITION: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim... | Jacobs Ladder, a moving, angled, climbing machine, may be named after the Biblical stairway to heaven, but it packs such a challenging workout people have dubbed it the stairway to hell.
| 8 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.37942105531692505,
0.3917558193206787,
-0.11976741254329681,
-0.7627642154693604,
0.7285442352294922,
-0.055939700454473495,
0.40877828001976013,
0.8502832651138306,
-0.45968231558799744,
0.6111895442008972,
-0.5027549862861633,
0.41018855571746826,
-0.09323516488075256,
0.05057427287101... |
Detailed Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If i... | INFORM | 9 | NIv2 | task880_schema_guided_dstc8_classification | zs_opt | [
0.3163546323776245,
-0.1602846086025238,
0.34984683990478516,
0.6606655120849609,
0.04875409975647926,
0.07237859070301056,
0.0922984853386879,
0.8310838937759399,
0.03193999081850052,
0.00457308255136013,
-0.6430058479309082,
-0.3801438808441162,
-0.7175456285476685,
0.12917399406433105,
... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What name comes from a Native American word meaning "wolf's rump?
| 6 | NIv2 | task001_quoref_question_generation | fs_opt | [
0.6045944690704346,
-0.01844186894595623,
-0.2719948887825012,
-0.2078578621149063,
0.09187199175357819,
-0.24563392996788025,
1.0702128410339355,
0.7830561995506287,
0.03281692788004875,
-0.09943472594022751,
0.43706947565078735,
-0.05683757737278938,
0.006010373588651419,
0.0572100020945... |
Part 1. Definition
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.... | Yes | 7 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.5216699838638306,
0.1672036498785019,
0.18632271885871887,
-0.15256798267364502,
-0.5640971660614014,
-0.4218219518661499,
1.2069323062896729,
0.19635732471942902,
-0.6053268313407898,
-0.4380657374858856,
-0.6165398359298706,
-0.31805741786956787,
-0.7021269798278809,
0.3096193969249725... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel,... | government | 1 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.1893181800842285,
0.5061333179473877,
-0.09889590740203857,
-0.07096739113330841,
0.31339603662490845,
0.3970405161380768,
-0.3342548608779907,
0.6529606580734253,
0.1537785828113556,
-0.16429778933525085,
-0.2544272541999817,
-0.1406031996011734,
0.28758713603019714,
-0.480037868022918... |
Definition: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task... | True | 2 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.08593729138374329,
-0.03797066956758499,
-0.13068613409996033,
0.32127100229263306,
0.16949507594108582,
-0.6273702383041382,
0.45191508531570435,
0.6470476388931274,
-0.344596266746521,
0.0995372086763382,
-0.45698344707489014,
-0.0035576424561440945,
0.004669188056141138,
-0.222428530... |
This task is about translating a given English language sentence to Yoruba language.
Q: Pardew was only appointed four months ago to improve West Brom’s standing on the Premier League (EPL) table.
A: | Pardew ni ikọ̀ ọ̀hún gbà ní oṣù mẹ́rin sẹ́yìn ní ìrètí pé yóò mú àyípadà ọ̀tun dé bá ikọ̀ náà lórí tábìlì ìdíje (EPL), ṣùgbọ́n omi pọ̀ ju ọkà lọ. | 4 | NIv2 | task1685_menyo20k_translation | zs_opt | [
1.4617477655410767,
0.8596134185791016,
0.031719617545604706,
-0.4515472650527954,
0.8078145384788513,
-1.0288888216018677,
0.4683273434638977,
-0.060906752943992615,
0.5717207193374634,
-0.26511719822883606,
-0.08660079538822174,
0.2282242327928543,
-1.2799174785614014,
0.1285339891910553... |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
[EX Q]: Naarmate de einddatum (2015) van de Millennium De... | Os Judeus Franceses estão a redescobrir o trauma duplo que viveram durante o século XX: as deportações para campos de morte na II Guerra Mundial e a sua fuga da Argélia após a independência em 1962.
| 6 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.4985560178756714,
0.796209454536438,
-0.08265155553817749,
0.5007792115211487,
-0.7130041122436523,
-0.1456640064716339,
0.5378456115722656,
0.7490603923797607,
0.645976185798645,
-0.3096138834953308,
-0.02152351476252079,
0.7557165622711182,
-0.7428218722343445,
-0.12110503017902374,
... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Quantity
| 1 | NIv2 | task1289_trec_classification | fs_opt | [
0.013923571445047855,
-0.17028409242630005,
-0.19979749619960785,
-0.2840387523174286,
-0.4693654775619507,
-0.4465930461883545,
0.5008021593093872,
0.3192215859889984,
0.24654988944530487,
-0.15297619998455048,
-0.772817075252533,
-0.30831894278526306,
-0.3346351981163025,
0.1026954427361... |
Q: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
I made Tanisha feel ecstatic.
A: | female | 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.5147464275360107,
0.622036874294281,
-0.2335340976715088,
-0.6743964552879333,
-0.6088584661483765,
-0.07597041875123978,
0.18458417057991028,
0.4585169553756714,
0.8345479369163513,
0.639676570892334,
-0.5964649319648743,
-0.17712970077991486,
-0.8728039264678955,
0.40692460536956787,
... |
Q: In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Fact1: Chines... | A Chinese director Nie Wen decides to make a musical film starring his Chinese girlfriend Sun Na and Hong Kong actor Lin Jiandong. Unknown to him, Sun has met Lin before ten years ago when she was a cabaret singer in Beijing. The two had a relationship together then, when Lin was a film student. Ten years later, now a ... | 7 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
-0.8035217523574829,
0.5735426545143127,
0.07047785818576813,
-0.07483825832605362,
-0.6978682279586792,
0.3904390335083008,
-0.05889622122049332,
0.7634881734848022,
-0.032176315784454346,
0.4497491419315338,
-0.13124825060367584,
0.1457788646221161,
-0.5472626090049744,
0.206267312169075... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
[EX Q]: A branch smashes through the back window.
[EX A]: Hefty willow branches attack the car.
[EX Q]: Another trooper, with a pistol barrel, knocks the pistol from someone's lift... | The Israeli raises his eyebrows.
| 6 | NIv2 | task455_swag_context_generation | fs_opt | [
-0.20595718920230865,
0.9529211521148682,
-0.11193950474262238,
-0.5955642461776733,
-0.49664801359176636,
-0.986635684967041,
0.1405869871377945,
0.4614172577857971,
0.618463397026062,
-0.06854651868343353,
-0.015940222889184952,
-0.21207207441329956,
-0.8011474609375,
0.6837887167930603,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
[Q]: na zewnątrz jest bardzo zimno.
[A]: بيرون خيلي سرده.
[Q]: Prawdziwy bezdomny nie ma nadziei. "" W reakcji na leki antydepresyjne zaczęłam myśleć o samobójstwie. I pamiętam te myśli: "Gdybym się zabiła, nikt by nie zauwa... | چیز دیگری که باید از آن استفاده کنیم بدن شما است خوب حالا چرا به جای فشار دادن چپ و راست ، با استفاده از نشانگر ماوس یا جوی پد چرا از بدن شما برای خم شدن روی صندلی استفاده نکنیم —
| 5 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.1577157825231552,
0.6809840798377991,
-0.571038007736206,
-0.7505111694335938,
-0.5209779739379883,
-0.40760624408721924,
1.6019052267074585,
0.009095607325434685,
0.7363787889480591,
-0.30961766839027405,
-1.0768609046936035,
0.7443779706954956,
-0.6151724457740784,
0.6950432062149048,... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Q: English sentence: Once he knows you… remember I mentioned this earlier: it's everlasting its eternal.
A: | Ozugbo ọ maara gị...-echeta na m kwuru na a na mbụ: Ọ bụ ebighị ya ebighi-ebi. | 4 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.4845955967903137,
1.2428628206253052,
0.5471714735031128,
-0.0031220640521496534,
-0.035177722573280334,
-2.615868330001831,
1.4263696670532227,
-0.010207483544945717,
0.1274237036705017,
0.23398444056510925,
0.0017203452298417687,
0.25299668312072754,
-0.9057763814926147,
0.184495940804... |
TASK DEFINITION: A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
PROBLEM: என் சகோதர, சகோதரிகளே,
SOLUTION: എന്റെ സഹോദരീ, സഹോദരന്മാരേ,
PROBLEM: இந்திய அரசின் வர்த்தக, தொழில்துறை அமைச்சர் அவர்களே,
SOLUTI... | ചാന്സലര് മെര്ക്കല്, സുഹൃത്തുക്കളേ,
| 8 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
0.1456718146800995,
0.10789622366428375,
-0.006544806994497776,
-0.385900616645813,
0.10071565955877304,
0.019485624507069588,
0.5891778469085693,
0.5288339257240295,
-0.2216925472021103,
0.07073859870433807,
-0.3366740942001343,
-0.0572209432721138,
-0.4710026681423187,
0.2025382816791534... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: Which motor manufacturer produces the Duster model?
A: dacia duster
****
Q: Which model was married to photographer David Bailey for 10 years, from 1975?
A: david bailey
****
Q: The writer o... | the cruel sea
****
| 4 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
-0.28593218326568604,
0.48198795318603516,
-0.03181883692741394,
-0.5912517309188843,
-0.4170783758163452,
-0.38287410140037537,
0.4464699625968933,
-0.06488077342510223,
0.9140695333480835,
0.16161739826202393,
0.008801788091659546,
0.5811338424682617,
-0.38020336627960205,
-0.25402784347... |
Q: You are given a statement written in Oriya. 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: ଅବତାର ଅର୍ଥ ଅବତୀର୍ଣ୍ଣ ହେବା, ଭକ୍ତମାନଙ୍କୁ ଦିବ୍ୟାନନ୍ଦ ପ୍ରଦାନ ନିମିତ୍ତ ଓ ଭଗବତ ଧର୍ମ ଠିକ ସ୍ଥାନରେ ଲାଗି ଦେବକୀଙ୍କ... | ପୃଥିବୀ | 7 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | zs_opt | [
0.3487810492515564,
1.4417531490325928,
-0.23451122641563416,
-0.11238458007574081,
-0.7277846336364746,
-0.6874682903289795,
0.17828485369682312,
0.575744092464447,
0.3250030279159546,
0.2329401969909668,
-0.10443197190761566,
0.06611226499080658,
-0.3279505968093872,
0.20433562994003296,... |
Definition: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexu... | Yes | 2 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.277733564376831,
-0.2837653160095215,
0.3728649318218231,
0.647710382938385,
-0.04670979082584381,
-0.08668571710586548,
-0.008307387121021748,
0.5919268131256104,
0.2072116732597351,
0.026468664407730103,
-0.14178910851478577,
-0.5240844488143921,
-0.5267190337181091,
-0.71258640289306... |
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.
Input: Sentence: The amount of energy required to begin a chemical reaction is known as the activation energy. Question: What is the amount of energy required to begi... | activation energy | 3 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
1.0986994504928589,
0.9357454776763916,
-0.02715967781841755,
-0.7940106391906738,
-0.6838326454162598,
-0.1376965492963791,
0.3698958456516266,
0.35470855236053467,
0.5094881057739258,
-0.572738528251648,
-0.30998852849006653,
-0.8814463019371033,
-1.032928705215454,
-0.40533196926116943,... |
Q: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What releva... | True | 7 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.018483784049749374,
0.6463919281959534,
-0.03235228359699249,
-0.8028393387794495,
-0.07840190082788467,
-0.4443095922470093,
0.5949329137802124,
0.7488250732421875,
0.15347735583782196,
0.07392551004886627,
-0.6610301733016968,
0.4274911880493164,
-0.3732903301715851,
0.090501680970191... |
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cann... | B_neutral_A
| 3 | NIv2 | task1615_sick_tclassify_b_relation_a | fs_opt | [
-0.1580016314983368,
-0.006737510208040476,
-0.156510591506958,
-0.8470590114593506,
-0.16903413832187653,
0.034762851893901825,
0.2925577759742737,
1.0151216983795166,
0.5819483399391174,
-0.16449925303459167,
-0.5984737277030945,
0.24223464727401733,
0.4097990095615387,
-0.42693161964416... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Example: System Reference: x is a reasonably priced fast food restaurant down by r... | Solution: 0 | 5 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.2890580892562866,
0.6436491012573242,
-0.4186766743659973,
-0.37117594480514526,
-0.7514607310295105,
0.15784746408462524,
1.039771556854248,
0.9821056127548218,
-0.36240625381469727,
-0.295318067073822,
-0.43003982305526733,
-0.3218872547149658,
-0.9253191351890564,
-0.1963086724281311... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Q: CONTEXT: Historiografía
Ofrecer una visión exacta acerca del reinado de Calígula es extremadamente d... | el propio Séneca estuvo a punto de ser ejecutado por el emperador en 39 | 4 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.02796725183725357,
0.7871750593185425,
-0.28519341349601746,
0.26458922028541565,
-0.48274409770965576,
-0.7286130785942078,
0.24721217155456543,
1.0732771158218384,
0.16018365323543549,
0.020482856780290604,
0.47475549578666687,
0.7610640525817871,
-0.9443486332893372,
-0.18555587530136... |
Teacher:You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: సమీప జూనియర్ కళాశాల చిన్నచింతకుంటలోను... | గద్వాల | 6 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.1751095950603485,
0.7873308658599854,
0.2775350511074066,
-0.7172101736068726,
0.35361891984939575,
-0.9522190690040588,
-0.1866815686225891,
0.7195744514465332,
0.06305430829524994,
-0.3290507197380066,
0.08874528110027313,
-0.13523438572883606,
-0.15000459551811218,
-0.5993083715438843... |
Teacher:Given a list of steps and an additional step, determine where the step fits into the original list of steps. A correct answer, correctly places the given step into the set of steps so that it creates a new plausible set of steps. Output must be formatted as 'After step n', where n is the step number after which... | After step 6. | 6 | NIv2 | task1549_wiqa_answer_generation_missing_step | zs_opt | [
0.23561233282089233,
0.3923436999320984,
-0.57403564453125,
-0.5159763693809509,
-0.1765027940273285,
0.4386669397354126,
0.3172077536582947,
0.374581515789032,
-0.1783292293548584,
-0.2929767966270447,
0.890263020992279,
0.10068364441394806,
-0.15016326308250427,
-0.0013395319692790508,
... |
Given a sentence in the English language, translate it into the Nepali language.
Q: Text: Any private building owned by a natural person of the following kind -
A: | कुनै प्राकृतिक व्यक्तिको निम्न अवस्थाको निजी भवन -
| 4 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.20502819120883942,
1.5145676136016846,
0.10910632461309433,
-0.2447761744260788,
-0.3461708426475525,
-0.44059038162231445,
0.5346245765686035,
0.11166449636220932,
0.3940950036048889,
-0.30026140809059143,
-0.23518142104148865,
0.6572824716567993,
-1.141595721244812,
-0.109794661402702... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given sentences in which your task is to recognize the name of the organ of the body. An organ is a collection of tissues that structurally form a functional unit specialize... | Cerebral | 0 | NIv2 | task1485_organ_extraction_anem_dataset | fs_opt | [
0.4618624746799469,
0.7017313241958618,
-0.5596337914466858,
0.02973930537700653,
-0.16449275612831116,
-0.496663361787796,
0.5267224311828613,
-0.04207289591431618,
0.36140888929367065,
-0.4519919157028198,
-0.17467620968818665,
-0.5049891471862793,
-0.2710415720939636,
0.807019829750061,... |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
[Q]: Reviews: Might be good for someone with very ... | True
| 5 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.3695923089981079,
0.014528220519423485,
-0.5072078108787537,
0.09134796261787415,
0.057809002697467804,
-0.28826379776000977,
-0.013611708767712116,
0.7786296606063843,
-0.7119855880737305,
0.28934261202812195,
-0.050540391355752945,
-0.1738579273223877,
0.05973972752690315,
-0.42033362... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | Output: no
| 2 | NIv2 | task115_help_advice_classification | fs_opt | [
0.15391436219215393,
0.6955045461654663,
0.29946738481521606,
-0.10179875791072845,
0.23201753199100494,
-1.1043626070022583,
0.593874454498291,
0.5142738223075867,
0.08315342664718628,
0.264537513256073,
-0.4974406063556671,
-0.4433751404285431,
-0.8181642293930054,
-0.14921341836452484,
... |
TASK DEFINITION: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
PR... | [88, 69, 92, 48, 88]
| 8 | NIv2 | task207_max_element_lists | fs_opt | [
0.4641091823577881,
-0.0716974139213562,
-0.8664897084236145,
0.10275930911302567,
-0.038264237344264984,
0.4635666608810425,
1.0598084926605225,
0.6742553114891052,
-0.19074997305870056,
0.1858046054840088,
-0.7226194739341736,
0.11214353144168854,
-0.2670649588108063,
0.13601545989513397... |
This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is th... | Kansas City metropolitan area
| 6 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.34855830669403076,
0.6824615001678467,
-0.04315010830760002,
-0.34809714555740356,
-0.32490676641464233,
0.12386240065097809,
0.8676501512527466,
0.48460447788238525,
0.6812933087348938,
-0.8925422430038452,
-1.0831977128982544,
-0.058032624423503876,
-0.5723000764846802,
0.255502760410... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Example: Which writer rode Devon Loch in the 1956 Grand National?
Example solution: dick francis
Example explanation: The answer is precise and accurately answers the q... | Solution: a kestrel for a knave | 5 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.46514683961868286,
0.3015470504760742,
-0.12009580433368683,
-0.09060584753751755,
-0.580305278301239,
-0.9045315980911255,
1.545578122138977,
-1.0281219482421875,
0.2934052348136902,
-0.8433955311775208,
-1.3631426095962524,
0.42504650354385376,
-0.4053090810775757,
0.5748969912528992,
... |
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... | No | 8 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.4263637959957123,
0.2582351863384247,
0.07700712978839874,
0.10726818442344666,
-0.3945924639701843,
-0.8460618853569031,
1.0925012826919556,
0.5179407000541687,
-0.5193716287612915,
-0.14975807070732117,
-0.3948792815208435,
-0.236628457903862,
-0.7315046787261963,
0.15630340576171875,
... |
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | 5571AzV5743n | 8 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.2049340009689331,
-0.0073278616182506084,
-0.6352682113647461,
-0.5689902305603027,
-0.12504646182060242,
-0.3314647972583771,
0.38950636982917786,
0.08628880977630615,
-1.0005877017974854,
0.10684080421924591,
-1.2893505096435547,
-0.21935413777828217,
-0.11709645390510559,
-0.08095832... |
Instructions: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at l... | 7 | 3 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.6397274732589722,
1.1305787563323975,
0.11606815457344055,
-0.6926442980766296,
-0.09051654487848282,
-0.33356237411499023,
1.3079442977905273,
-0.2805778384208679,
0.19486987590789795,
-0.9490965008735657,
-0.025092367082834244,
-0.01725872978568077,
-0.9197420477867126,
-0.483873724937... |
Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Input: Whose autobiography was entitled A Long Walk to Freedom?
Output: | nelson mandela | 2 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.3669661283493042,
0.40600401163101196,
-0.45062366127967834,
0.1596585512161255,
-0.5303045511245728,
-0.08480848371982574,
1.5188802480697632,
-0.6704237461090088,
0.7120980024337769,
-0.5710716247558594,
-0.813683271408081,
-0.0811958760023117,
-0.6742188930511475,
0.32665354013442993,... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Is the kinase MSK1 required for induction of c-fos by lysophosphatidic acid in mouse embryonic stem cells?
| 3 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.40790465474128723,
0.31874221563339233,
-0.9405644536018372,
0.044916458427906036,
0.9916626214981079,
-0.40650904178619385,
0.8964265584945679,
1.109311819076538,
0.06426683068275452,
0.1883378028869629,
-0.5643084645271301,
-0.08124019205570221,
-0.46645253896713257,
0.4490287303924560... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: Which video game series is sometimes referred to as GTA?
A: | grand theft auto | 4 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.29314833879470825,
0.3292854428291321,
-0.2310734987258911,
0.009757635183632374,
-0.37333983182907104,
-0.4098265767097473,
0.7930845022201538,
0.23470252752304077,
-0.2323238104581833,
-0.4646599292755127,
0.0772068127989769,
-0.06857047230005264,
-0.48536354303359985,
-0.7088634967803... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: 9月以降パリ郊外で、4回の異なる待ちぶせ襲撃で警察官が重症を負った。
[A]: กลุ่มเจ้าหน้าที่ได้รับบาดเจ็บสาหัสในการซุ่มโจมตีที่เกิดขึ้นแยกกัน 4 ครั้งในเขตชานเมืองกรุงปารีสตั้งแต่เม... | รองศาสตราจารย์ มาร์ติน เซเวอร์ประจำคณะฟิสิกส์ ของมหาวิทยาลัยเมลเบิร์น อ้างว่าการศึกษาล่าสุดสนับสนุนกรณีที่ออสเตรเลียจะลงทุนในพลังงานนิวเคลียมากขึ้น
| 5 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.15296272933483124,
0.3100305497646332,
-0.8561558723449707,
0.12689822912216187,
0.14280863106250763,
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0.6136617660522461,
0.31412914395332336,
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0.33319807052612305,
-0.33767226338386536,
1.0250673294067383,
-0.3279687762260437,
0.55225670337677,
0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammati... | Who does grown up Reena move next to years later? | 0 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.21500426530838013,
0.2810173034667969,
-0.18437793850898743,
-0.5180158615112305,
-0.2981424629688263,
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0.630799412727356,
0.8051607608795166,
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0.12026138603687286,
-0.19472332298755646,
0.098091721534729,
-0.892254650592804,
-0.06842946261167526,... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | yes
| 6 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.6724576950073242,
0.263245165348053,
0.1602572798728943,
0.7741488218307495,
0.2543991208076477,
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-0.13326683640480042,
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0... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: N'ezie, ihe ọzọ ị ga-atụle mgbe ị na-ahọrọ cha cha chara chantanetị bụ ma hà nwere ma ọ bụ na ha nwere egwuregwu ịgba chaa chaa ịchọrọ igwu egwu.
A: | Of course another factor to consider when choosing an online casino is whether or not they have the casino games you want to play. | 4 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.6127881407737732,
0.886939287185669,
-0.11365269869565964,
-0.49972933530807495,
0.062341105192899704,
-1.0453314781188965,
0.666254997253418,
0.9293358325958252,
-0.7655549645423889,
-0.4745299518108368,
0.07924629747867584,
-0.30051034688949585,
-0.25503605604171753,
0.068917766213417... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: Could two planets touch each other and survive?, Question2: Does the moon revolve around the sun?
A: | No | 4 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
0.2105238437652588,
1.1634490489959717,
-0.038776759058237076,
-0.06859134882688522,
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-0.6600965261459351,
-0.003558228723704815,
-0.10478000342845917,
0.214124143123... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | no | 1 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-1.2213988304138184,
0.29883813858032227,
0.5829740166664124,
0.6165635585784912,
0.20105336606502533,
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0.6677615642547607,
0.2340141385793686,
0.04249943792819977,
0.16854315996170044,
-0.5501902103424072,
-0.19660097360610962,
-0.33883488178253174,
-0.0985328406095504... |
Q: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3'... | 1 | 7 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.3145320415496826,
0.5299060344696045,
-0.3555319309234619,
0.48910850286483765,
0.23325061798095703,
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0.1363290250301361,
0.5459725260734558,
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0.058971013873815536,
-0.196198970079422,
0.4879588782787323,
0.3905412554740906,
-0.33817052841186523,... |
Instructions: This task is about translating a given English language sentence to French.
Input: Yeah it makes me smile
Output: | Tu dis que tu veux que je revienne Et je te dis que ça signifie plus rien pour moi | 3 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.3738696873188019,
1.0560864210128784,
0.6000466346740723,
-0.6468260288238525,
0.35025644302368164,
-0.20225384831428528,
-0.15962862968444824,
0.19500337541103363,
0.766624927520752,
0.24321120977401733,
-0.4875527620315552,
0.1993122100830078,
-0.2567583918571472,
-0.5523681640625,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Są samolubną informacją, zostaną skopiowane, jeśli to będzie możliwe. | They're selfish information, they will get copied, if they can. | 0 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.4910700023174286,
0.9539370536804199,
0.3844913840293884,
-0.31398940086364746,
0.07026336342096329,
-0.5646910667419434,
0.928176760673523,
-0.9354677796363831,
0.6836388111114502,
-0.5341695547103882,
0.10455471277236938,
0.08380808681249619,
-0.6069427728652954,
-0.08038033545017242,... |
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary to answ... | the pine was cheaper. | 0 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
-0.2941150367259979,
0.6865217685699463,
-0.5469138026237488,
-0.10026559978723526,
-0.19543974101543427,
-0.5734999179840088,
0.8309282660484314,
0.22601547837257385,
-0.45253846049308777,
-0.008284829556941986,
-0.73875892162323,
0.0801386758685112,
-0.42970627546310425,
0.48906940221786... |
Teacher:In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Teacher: Now, understand the problem? Solve this instanc... | a, b, c, d, j, l, m, n, q, r, s, t, w, x | 6 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.6524198055267334,
0.26827695965766907,
0.20987655222415924,
-0.37049078941345215,
0.34308481216430664,
0.1962500512599945,
0.691109299659729,
-0.005877609830349684,
-0.8614292144775391,
0.360426664352417,
-0.16391336917877197,
-0.45008090138435364,
0.11295194178819656,
-0.17055954039096... |
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 comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (... | Hope Speech | 0 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.19818668067455292,
-0.029237810522317886,
0.5287778377532959,
0.33587074279785156,
0.09088882803916931,
-0.3508288860321045,
-0.03266889601945877,
0.6562364101409912,
-0.743718147277832,
0.07879950851202011,
-0.18171828985214233,
0.10285389423370361,
-0.3270346522331238,
-0.216351643204... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Example Input: I bought this mouse because my old one died on me. So far this one amazes me in all but one spot. It has very responsive buttons and movement, but I like a few other reviewers have problems with ... | Snugg iPad 2 Case
| 3 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.4480738937854767,
0.02440071478486061,
-0.6338070631027222,
-0.5502827763557434,
0.22565695643424988,
-0.04961133748292923,
0.6906875371932983,
0.7617926597595215,
0.1375279575586319,
0.5730791091918945,
0.1597210317850113,
0.3507968783378601,
-0.45301833748817444,
-0.26841118931770325,... |
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | NNPS
| 6 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.04427725821733475,
0.10589880496263504,
0.11721782386302948,
0.1703001856803894,
-0.08332765102386475,
-0.4584871530532837,
0.5632750391960144,
1.2432284355163574,
-0.39525526762008667,
-0.1927637755870819,
-0.17394034564495087,
0.5294047594070435,
-0.3098394274711609,
0.0211599152535200... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
اون حقیقتا برد-برد هستش.
A: | بل هي ربح للجميع. | 7 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.8687548041343689,
1.0444118976593018,
-0.5488170385360718,
-0.8330206871032715,
-0.7952172160148621,
0.11397756636142731,
1.21480393409729,
-0.095369353890419,
1.3594200611114502,
-0.5829662084579468,
-1.0330305099487305,
0.5775703191757202,
-0.5457379817962646,
0.18079449236392975,
0... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Nie było płatków kukurydzianych.
Student: | I fiocchi di mais non erano ancora stati inventati. | 6 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.9045835137367249,
0.6191942095756531,
-0.005948154721409082,
-0.586711049079895,
-0.8109709024429321,
-0.2903941571712494,
1.0091713666915894,
0.34983208775520325,
-0.326688677072525,
-0.8392190933227539,
0.3684754967689514,
0.031693361699581146,
-0.2878674268722534,
0.2618807554244995,... |
In this task, you are given a sentence. You are expected to recognize the name of company or organization. Although there might be several correct answers, you need to write one of them.
Let me give you an example: I want to work dedicatedly for Microsoft Corporation
The answer to this example can be: Microsoft Corpor... | 1 D | 8 | NIv2 | task1479_organization_entity_extraction_btc_corpus | fs_opt | [
-0.03151997551321983,
0.3765111267566681,
-0.17123928666114807,
-0.25879526138305664,
-0.34322845935821533,
-0.005549615249037743,
0.4613873362541199,
0.3209080696105957,
0.4911617040634155,
0.2095836102962494,
-0.1354612112045288,
-0.42224788665771484,
0.08829694241285324,
-0.704865872859... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Let me give you an example: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
The answer to this example can be: Es una lucha interna, una lucha en contra del vicio, el pecado, la tenta... | Bien. Y creo que si alguien se estuviese ahogando, ella lo salvaría. | 8 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-1.1954574584960938,
0.5753234028816223,
-0.4736599326133728,
-0.30383771657943726,
-0.8637689352035522,
0.10311487317085266,
0.4053654968738556,
0.29053598642349243,
-0.07045288383960724,
-0.4225262999534607,
-0.18966755270957947,
-0.38659486174583435,
-1.4808090925216675,
-0.449700057506... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed
****
| 4 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.9888156652450562,
1.2020728588104248,
0.7076718211174011,
-0.2693103849887848,
-0.20569807291030884,
-0.20800821483135223,
0.31123530864715576,
0.9923701286315918,
0.19707006216049194,
-0.31607168912887573,
-0.9103741645812988,
-0.6382924318313599,
-0.8273513913154602,
-0.23453462123870... |
Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Problem:Tweet: @anonymized_account @anonymized_account Do gry ofensywnej to jedno, ale jak pressing siadł po jego wejściu... , Question: Does the tweet contain cyberbullying (harmful) ... | No | 8 | NIv2 | task839_cdt_classification | zs_opt | [
-0.9782631397247314,
1.3687371015548706,
-0.31093138456344604,
0.6206862926483154,
-0.5510212779045105,
-0.4877874553203583,
1.1366358995437622,
-0.7886031866073608,
-0.051286645233631134,
-0.08498941361904144,
-0.044370923191308975,
0.033296409994363785,
-0.9323996305465698,
-0.2691099345... |
Definition: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected ... | Text two | 2 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.809743344783783,
0.10251645743846893,
0.2788894772529602,
-0.2896767556667328,
0.1895754486322403,
-0.46380868554115295,
0.6766446232795715,
0.1628587245941162,
0.540848970413208,
0.1917542815208435,
-0.2147110104560852,
-0.3981636166572571,
-0.22893545031547546,
0.17989137768745422,
... |
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