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 |
|---|---|---|---|---|---|---|
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: श्री मुंडा ने मंत्रालय के कार्यों और परियोजनाओं की समीक्षा करने के लिए जनजातीय कार्य मंत्रालय में सचिव, श्री दीपक खांडेकर और मंत्रालय के अन्य वरिष्ठ अधिक... | जे ई प्रवण 231 जिल्ह्यांपैकी 216 जिल्ह्यात 1 ते 15 वयोगटातल्या मुलांचे, जे ई लसीकरण अभियान पूर्ण
****
| 4 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.3203853666782379,
-0.16183975338935852,
0.14091667532920837,
-0.08339440822601318,
-0.5434909462928772,
-1.1874538660049438,
0.1768988072872162,
0.2598709762096405,
-1.1757498979568481,
0.29063108563423157,
-0.5248897075653076,
-0.07847698777914047,
-0.7151171565055847,
0.015576497651636... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | आप एक कक्षा का इस्तेमाल किसी विषय को सीखने के लिए कर सकते हैं ।
| 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.32169657945632935,
0.09737645089626312,
0.014280349016189575,
-0.15433989465236664,
-0.19520582258701324,
-1.2068350315093994,
0.3210921883583069,
1.0632508993148804,
-0.2348865568637848,
-0.3132091760635376,
-0.5844721794128418,
-0.35277819633483887,
-0.5093585252761841,
0.038723386824... |
Detailed Instructions: 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 buildin... | I_RUN I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT | 9 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
-0.08307911455631256,
0.985358476638794,
-0.17423376441001892,
0.15617449581623077,
-0.22753846645355225,
0.2125861495733261,
0.20926189422607422,
-0.008987265639007092,
-0.03789801895618439,
-0.27793198823928833,
-0.9312370419502258,
0.1573880910873413,
-0.5874619483947754,
0.021727368235... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Tenemos varias estrategias... Está el Premio Ratón Methuselah, que básicamente es un incentivo para innovar, y hacer lo que crees que va a funcionar, y obtienes dinero si ganas. | Abbiamo diverse strategie - c'è il Methuselah Mouse Prize, che è in poche parole un incentivo ad innovare, e a fare quello che pensi possa funzionare, e se vinci prendi dei soldi. | 0 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.07596901059150696,
0.44757723808288574,
0.6968209743499756,
-0.06763017177581787,
-0.28374001383781433,
-0.7146146297454834,
0.5250425934791565,
0.9409744143486023,
0.15125349164009094,
-0.7199926376342773,
-1.092665672302246,
0.3714267909526825,
-1.0493574142456055,
-0.0513317734003067... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | b
****
| 4 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.3667803108692169,
0.07862439751625061,
-0.5056029558181763,
0.36380112171173096,
0.620305061340332,
-0.61080002784729,
0.9567179679870605,
0.6253843307495117,
-0.201151043176651,
0.18739667534828186,
0.34541451930999756,
-0.13177549839019775,
-0.9223102331161499,
-0.22456076741218567,
... |
TASK DEFINITION: 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.
PROBLEM: CONTEXT: Más de 170.000 personas visitarán este año el Salón Internacional del... | el avance del Proceso de Bolonia
| 8 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.7684198617935181,
0.24310889840126038,
-0.15841570496559143,
-0.24721087515354156,
0.8140552043914795,
-0.06715176999568939,
0.2775641679763794,
0.7643325328826904,
-0.5592172741889954,
0.5791487693786621,
0.414622038602829,
0.767348051071167,
-0.6859406232833862,
0.4252808392047882,
-... |
Detailed Instructions: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether in... | b | 9 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.1050138771533966,
-0.6116654276847839,
-0.5211969017982483,
0.4712109863758087,
0.8130217790603638,
0.4189508259296417,
0.971235990524292,
0.9415166974067688,
0.17555373907089233,
0.15462812781333923,
-0.6913294792175293,
0.7231867909431458,
-0.3513467311859131,
-0.13218191266059875,
-... |
Detailed Instructions: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certa... | SELECT name FROM Highschooler WHERE grade = "Kyle" | 9 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.6473020911216736,
0.4930761158466339,
-1.148403286933899,
0.9562031030654907,
-0.23069246113300323,
-0.1655135154724121,
0.682489275932312,
0.963006854057312,
-0.36752617359161377,
0.5914142727851868,
0.265426367521286,
0.31486058235168457,
-0.051992207765579224,
0.482038289308548,
0.1... |
You will be given a definition of a task first, then some input of the task.
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of h... | Entity. | 1 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.880605936050415,
-0.05080442503094673,
-0.3387640714645386,
0.4421166479587555,
-0.041517674922943115,
-1.1043052673339844,
0.811163067817688,
0.9504848122596741,
-0.5446789264678955,
-0.06129635497927666,
-0.7747172117233276,
0.5183587074279785,
-0.17425952851772308,
-0.2788703143596649... |
Q: 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
1513 #... | -5608 | 7 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.0765765979886055,
0.5284898281097412,
-1.0329394340515137,
0.2562072277069092,
-0.4223858714103699,
-0.7519515752792358,
0.4582439064979553,
1.7658127546310425,
0.8593399524688721,
0.1508093625307083,
-0.1117485836148262,
-0.4969634711742401,
0.34383130073547363,
-0.17372727394104004,
... |
Detailed Instructions: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Q: Skipperâs portfolio was poised to grow. Disney recently announced a planned acquisition of 21st Century Fox that inc... | John Skipper Resigns | 9 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.06886757910251617,
-0.3094906210899353,
-0.31948328018188477,
-0.13496029376983643,
-0.24654704332351685,
-0.016966938972473145,
0.5025707483291626,
0.19125960767269135,
-0.010923655703663826,
-0.040559250861406326,
0.5765444040298462,
1.1009628772735596,
-1.1559934616088867,
-0.4898042... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
In some merchant ships they enclose the ballast tanks.
Kwezinye iinqanawe zeqhwebo zijekeleze amatanki enzima enza inqanawe izinje.
Their waists were d... | Eyokuqala kukokha iinqanawa ezibuvuleka enye kuhamba phezulu kwenqanawa ezineziqu ezininzi.
| 0 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.012484992854297161,
0.5204938650131226,
-0.20844298601150513,
0.09639815986156464,
0.405770480632782,
0.01802312210202217,
0.6848946809768677,
0.5627626180648804,
-0.24570128321647644,
0.025438372045755386,
-0.49042433500289917,
-0.5003983974456787,
-0.8923840522766113,
0.18148891627788... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
[Q]: Więc to nie jest tylko zachodnia fantazja post-materialistyczna.
[A]: כך שזו לא רק פנטזיה מערבית פוסט-חומרנית.
[Q]: Stała polaryzacja władzy oznacza stałe sojusze.
[A]: קוטביות כח קבועה משמעותה בריתות קבועות.
[Q]: Po... | אחרי רעידת האדמה, התחלנו להביא מהנדסי רעידות אדמה כדי להבין למה הבניינים קרסו, כדי לבחון מה היה בטוח ומה לא.
| 5 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.660936713218689,
0.8366368412971497,
0.07269301265478134,
0.28187763690948486,
-0.13045847415924072,
-0.516094982624054,
1.511199951171875,
-0.2645004391670227,
0.6932731866836548,
-0.7040167450904846,
-0.12371359765529633,
0.34730058908462524,
-0.4642086327075958,
0.28716954588890076,
... |
Teacher: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 potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexua... | Yes | 6 | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt | [
-0.687697172164917,
-0.2183208465576172,
0.9326602816581726,
0.19311143457889557,
0.11188751459121704,
-0.6802561283111572,
0.19408783316612244,
0.47056132555007935,
0.18023447692394257,
0.08101796358823776,
-0.16829970479011536,
-0.7283690571784973,
-0.45865893363952637,
-1.34185266494750... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
pero no conseguían los resultados deseados.
| しかし、必要な結果が得られませんでした。 | 5 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.7133904099464417,
0.7702282667160034,
0.1518300175666809,
-0.12149578332901001,
0.13645824790000916,
0.6464693546295166,
0.23848392069339752,
0.4439338743686676,
-0.671593964099884,
-0.15760402381420135,
-0.449762225151062,
-0.12733815610408783,
-0.24582475423812866,
0.14850756525993347... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
---... | joy
| 7 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.5270853042602539,
-0.2043602168560028,
0.05668744444847107,
-0.6841359734535217,
-0.6364049911499023,
-0.34088563919067383,
0.6202977895736694,
1.4311463832855225,
-0.4209287762641907,
-0.2134343981742859,
-0.5994670987129211,
0.6374151706695557,
-0.08031388372182846,
-0.005143380723893... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Example input: In the beginning God created the heaven and the earth.
Example output: در ابتدا، خدا آسمانها و زمین را آفرید.
Example explanation: This is a good example. The above sentence is correctly tran... | کیست مانند توای خداوند در میان خدایان؟کیست مانند تو جلیل در قدوسیت؟ | 3 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.07044745981693268,
1.3724114894866943,
-0.06788132339715958,
-0.08434109389781952,
-0.07954519987106323,
-0.8670501112937927,
0.6616045832633972,
0.8364765644073486,
0.4437677562236786,
0.4258759319782257,
-0.45366427302360535,
0.38688749074935913,
-1.1681312322616577,
-0.54870140552520... |
In this task, given a sentence in the Filipino language, your task is to convert it into the English language.
One example: Malalaking bilang ang naiulat na nagsipunta sa Indiana, Ohio, at Wyoming, bukod sa iba pang mga estado.
Solution is here: Heavy turnouts were reported in Indiana, Ohio, and Wyoming, among other st... | The round of diplomatic tit-for-tat was sparked by growing tensions between New Zealand and Fiji over sanctions put in place in the wake of the 2006 coup. | 6 | NIv2 | task545_alt_translation_fi_en | fs_opt | [
-0.9972330927848816,
0.16061095893383026,
0.36038443446159363,
-0.43785104155540466,
0.37770992517471313,
-0.2150862216949463,
-0.4332277178764343,
0.11045310646295547,
-0.01074989140033722,
-0.3708533048629761,
-0.16790583729743958,
0.27190691232681274,
-0.1144995391368866,
0.253216087818... |
You will be given a definition of a task first, then some input of the task.
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Se... | 5, 6. | 1 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.3715682327747345,
0.5383477210998535,
-0.3136778473854065,
-0.1870497316122055,
0.09136509895324707,
-0.17453521490097046,
0.7094784379005432,
0.5354152321815491,
0.021218638867139816,
0.5394691824913025,
-0.6582252979278564,
0.9609743356704712,
-1.1882688999176025,
0.2705950140953064,
... |
instruction:
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of ... | Yes
| 9 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.044747475534677505,
0.0641317367553711,
-0.3969862759113312,
-0.22051319479942322,
-0.35737454891204834,
-0.9685063362121582,
0.20097491145133972,
0.18256962299346924,
0.0613429956138134,
-0.028176842257380486,
-0.09208362549543381,
0.5570814609527588,
-0.1391908824443817,
0.372537016868... |
Part 1. Definition
In this task your given two statements in Swahili. 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
Kifaa kilikuwa kimefungwa kweny... | cause | 7 | NIv2 | task1175_xcopa_commonsense_cause_effect_sw | fs_opt | [
-0.5168675184249878,
0.5018692016601562,
-0.013204691931605339,
-0.6623192429542542,
-0.6050733327865601,
-0.06171519681811333,
0.9671063423156738,
0.8528004288673401,
0.3927602171897888,
-0.5074273347854614,
-0.5211008787155151,
0.3393990397453308,
-0.9482443928718567,
0.05143884569406509... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
[Q]: המשבר הזה, שמשך תשומת לב רבה כל כך, כולל על ידי, אני סבור שהוא תופעת לוואי.
[A]: آن بحران ، که مرکز توجه زیادی بوده است ، از جمله من ، گمان کنم یک پدیده ثانویه است.
[Q]: והמאפיין המשותף לכל החומרים האלה הוא שהם לא צריכי... | به این داده ها توجه کنید:
| 5 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-0.15246614813804626,
0.5753534436225891,
0.04846832901239395,
0.18832841515541077,
-0.5687187910079956,
-0.09247139096260071,
0.3929376006126404,
1.073490023612976,
0.5920945405960083,
0.07372075319290161,
-1.1634811162948608,
0.4806422293186188,
-0.7361327409744263,
0.29983896017074585,
... |
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list y... | [231, -3, -11025, 35, 75, -1521] | 6 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.6369832754135132,
0.18709039688110352,
-0.43962761759757996,
-0.22739307582378387,
0.11500662565231323,
-0.04418729990720749,
1.08677077293396,
0.3960564136505127,
-0.15012595057487488,
-0.2750546932220459,
-0.6839094161987305,
-0.5821471810340881,
-0.44198381900787354,
-0.5562187433242... |
You will be given a definition of a task first, then some input of the task.
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts... | unequal heating of earth's surface by the sun is a key factor in determining global weather patterns. | 1 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.049322016537189484,
1.0623853206634521,
-0.61831134557724,
0.2355109602212906,
-0.6181458234786987,
-1.15607750415802,
-0.257930189371109,
0.8295843601226807,
-0.3174944221973419,
0.12212686240673065,
-0.8468725681304932,
0.32564252614974976,
-0.07244658470153809,
-0.021763648837804794,... |
Given the task definition, example input & output, solve the new input case.
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+... | 39104 | 1 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.1909104287624359,
0.8995550870895386,
-0.7294597625732422,
-0.5265794992446899,
-0.26806163787841797,
-0.23437674343585968,
0.9362791776657104,
0.8719190955162048,
0.04516836255788803,
-0.9289277791976929,
-0.46069255471229553,
0.7128479480743408,
-0.5404174327850342,
-0.1053568497300148... |
Given the task definition and input, reply with output. In this task, you need to Translate Czech text to English.
Účelem uchytení krytu pohonu kolesa je zabránit destrukci krytu pohonu kolesa od nabraného a unášeného rozměrného předmětu, který přesahuje šířku korečku kolesa. Kryt pohonu kolesa je v dolní části uc... | The purpose of mounting the wheel drive cover is prevent destruction of the wheel drive cover from picked up and drifting a large object which exceeds the width of the wheel bucket. The wheel drive cover is attached to the bottom on the wheel axis rotatably, taking the top part of the wheel drive housing is pivot... | 5 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.8754225969314575,
0.3472391664981842,
-0.36007973551750183,
0.15051904320716858,
-0.6712609529495239,
-0.029896996915340424,
0.32328441739082336,
1.0181893110275269,
0.23835617303848267,
-0.1405961513519287,
-0.6556841135025024,
0.5629572868347168,
-0.09881477802991867,
0.53889572620391... |
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 | 4 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.7321575880050659,
-0.06920309364795685,
-0.4940653443336487,
0.019361462444067,
0.09253479540348053,
-1.203271508216858,
-0.18787631392478943,
0.5651512742042542,
-0.2335987091064453,
0.19651052355766296,
-0.547776460647583,
-0.09394495189189911,
-0.4960821866989136,
-0.37006738781929016... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 41082204485 | 6 | NIv2 | task1443_string_to_number | fs_opt | [
-0.3433524966239929,
1.2002369165420532,
-0.7337405681610107,
-1.0064326524734497,
-0.3314482569694519,
-0.29194915294647217,
1.0834614038467407,
0.16810642182826996,
-0.1394258290529251,
-0.35988008975982666,
-0.9464523196220398,
0.13836002349853516,
-1.283387303352356,
-0.25443035364151,... |
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 | 0 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
-0.0889323502779007,
0.38246166706085205,
-0.27705591917037964,
-0.03916836529970169,
0.09663175046443939,
-0.7791563868522644,
1.1391865015029907,
1.0473716259002686,
0.6678246855735779,
-0.2434733659029007,
-1.177287220954895,
-0.1903328150510788,
-0.8279768228530884,
-0.0020579802803695... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos... | School offers medicinal gardening class. | 9 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.6251130104064941,
0.17585758864879608,
-0.42988020181655884,
-0.5413908362388611,
0.6046751737594604,
-1.3144891262054443,
0.6839330792427063,
1.08975350856781,
-0.18623527884483337,
0.12506991624832153,
-0.007768114097416401,
0.8788934946060181,
-0.7365677952766418,
0.15706008672714233,... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Desde 1980, los salarios de los CEOs en nuestro país pasaron de unas 30 veces el salario medio a 500 veces.
Solution: | Dal 1980, i salari degli amministratori delegati nel nostro paese sono passati da 30 a 500 volte il salario medio. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.7688785791397095,
0.6247228384017944,
-0.7956628799438477,
-0.473260760307312,
-0.38652104139328003,
0.2494693100452423,
-0.27873873710632324,
1.7980268001556396,
0.1385052353143692,
-0.5952560901641846,
0.01331589836627245,
0.11514507979154587,
-0.5319185256958008,
-0.18992725014686584... |
Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: Why were they unable to build the stadium as porposed?, Context: There have been indications since 1996 that Everton will move to a new stadium. The original plan was for a new ... | Everton failed to generate the £30 million | 3 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.6156045198440552,
0.8246545195579529,
0.18197163939476013,
0.12227395176887512,
0.39918774366378784,
-0.39212965965270996,
-0.4297642111778259,
0.2647840082645416,
0.5110082626342773,
0.050819382071495056,
0.5112995505332947,
0.8185266256332397,
-0.8192640542984009,
0.25738847255706787,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Question: In sunny weather I should try? Answer: biking.
Output: | clear weather means sunny weather | 1 | NIv2 | task1401_obqa_sentence_generation | zs_opt | [
0.28450608253479004,
0.18430639803409576,
-0.6944774389266968,
0.7469104528427124,
-0.45021894574165344,
-0.6015880703926086,
0.34306302666664124,
0.5763061046600342,
0.27981317043304443,
-0.045353155583143234,
-1.0140734910964966,
0.23776909708976746,
-0.06883007287979126,
-0.097914077341... |
Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Control (choices and... | Third Party Sharing/Collection | 0 | NIv2 | task682_online_privacy_policy_text_classification | zs_opt | [
-0.10335125774145126,
0.40760356187820435,
-0.8849984407424927,
0.09207846224308014,
-0.540687620639801,
-0.8199304342269897,
0.5533792972564697,
0.6855554580688477,
0.33186283707618713,
0.23602256178855896,
0.030631590634584427,
0.13586391508579254,
-0.36794155836105347,
-0.67707896232604... |
Definition: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Input: Sentence 1: Julie had a test. Sentence 2: She al... | Test | 2 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.43377551436424255,
0.39542677998542786,
0.29238319396972656,
-0.11626756191253662,
0.2782527208328247,
-0.08083953708410263,
-0.1342659890651703,
0.48807376623153687,
-0.1316659301519394,
0.14916059374809265,
-0.5256631374359131,
-0.36825624108314514,
-0.4377654790878296,
0.119527757167... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene
| 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.030082307755947113,
0.017190424725413322,
0.11901679635047913,
0.5091795921325684,
-0.042943309992551804,
-0.5233558416366577,
0.03904935345053673,
1.0382976531982422,
-0.07269052416086197,
0.4726078510284424,
-0.13372983038425446,
0.13482579588890076,
0.07058146595954895,
-0.8451216816... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: では同じ板を100メートルの高さに据えたらどうでしょう? 私は近づこうとも思いません遠慮しておきます
A: | עכשיו אני עומד לשים את הקרש בגובה 100 מטר באויר ואני לא אתקרב אליו, תודה לכם. | 4 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.4154084324836731,
0.4572032690048218,
0.046879466623067856,
-0.05367330089211464,
-0.05002383142709732,
-0.5590153336524963,
0.7054998874664307,
0.028501709923148155,
0.8480991125106812,
0.1325317621231079,
-0.22779306769371033,
0.8321653604507446,
-1.3014267683029175,
0.1157750785350799... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[Q]: The European Commission' s decisions, which feature in the report, ar... | Herr talman, herr kommissionär! Under brytningsåret, före övergången till den gemensamma valutan, gjorde kommissionen stora ansträngningar för att euron skulle kunna införas under gynnsamma omständigheter.
| 5 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
0.140140563249588,
0.3066176474094391,
-0.10024981200695038,
0.3235754370689392,
0.34984272718429565,
-0.6379847526550293,
0.4537121653556824,
0.5885577201843262,
-0.02475345879793167,
0.4312313199043274,
0.5668069124221802,
0.6519083380699158,
0.08971540629863739,
-0.5133402347564697,
0... |
Detailed Instructions: In this task, you are given a country name, and you need to return the country's surface area in terms of square kilometers. Up to two decimal places are allowed in your answer.
Problem:New Caledonia
Solution: | 18575.00 | 8 | NIv2 | task1428_country_surface_area | zs_opt | [
0.3886111378669739,
0.14377084374427795,
-0.41459035873413086,
-1.4133574962615967,
-0.1896185278892517,
0.12996447086334229,
0.45042097568511963,
-0.43686455488204956,
-0.7723509073257446,
-0.28749728202819824,
-0.5960443615913391,
0.2376851588487625,
-0.16631531715393066,
-0.211359620094... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Example: It's sort of the biggest TiVo box you've ever seen.
Example solution: To największa nagrywarka, jaką w życiu widzieliście.
Example explanation: The English sentence is correctly translated into Polish, because the m... | Solution: Nazywa się 'Y Water'. Przyszedł do nas Thomas Arndt, Austriak z pochodzenia, chciał tylko stworzyć zdrowy, ekologiczny napój dla swoich dzieciaków, który wyparłby te wysokosłodzone, od których chciał dzieciaki odciągnąć. | 5 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
0.2443191409111023,
0.9068509340286255,
0.4300905466079712,
0.11385482549667358,
0.49657317996025085,
-1.0217405557632446,
0.09610708802938461,
-0.03239881992340088,
0.2304689586162567,
0.5742851495742798,
0.46639883518218994,
0.6231122612953186,
-1.0939230918884277,
0.2583308219909668,
... |
Q: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Cockroaches are white insects
(A) Cockroaches that i... | A | 7 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.4701295793056488,
0.7920721769332886,
-0.7766245603561401,
-0.9363518953323364,
-0.014711190946400166,
-0.42797285318374634,
0.014653995633125305,
0.6163475513458252,
-0.03583202883601189,
0.27362871170043945,
0.06643664836883545,
0.8299455046653748,
-0.06868846714496613,
-0.70090377330... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Example Input: ['K', 'O', 'p', '1669', '8647', '3417', 'a', '8903', 'V', 'E', 'l', 'a', '5177', 'J', '6559', '5377', 'X', '9427']
Example Output: 49176
Example Input: ['e', 'K', 'A', 'V... | 32828
| 3 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.011689582839608192,
0.8713909387588501,
-0.8596571683883667,
-0.5570398569107056,
-0.22860437631607056,
0.3543315529823303,
0.7010906934738159,
0.3611692190170288,
-0.5575653314590454,
0.520781397819519,
-0.702950119972229,
-0.23819683492183685,
0.08123735338449478,
-0.15522854030132294... |
Given the task definition and input, reply with output. In this task, you are given a question. You have to answer the question based on your information.
Are both John Roecker and Michael Gordon stage actors?
| no | 5 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.4608231782913208,
0.7157101631164551,
-0.2679250240325928,
-0.1020934134721756,
0.021701809018850327,
-0.014380335807800293,
0.37294697761535645,
-0.19306498765945435,
0.1884782612323761,
-0.26074737310409546,
0.11938789486885071,
0.04491797834634781,
-0.7207715511322021,
-0.56348794698... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note... | ac | 4 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.38110679388046265,
-0.02888435497879982,
-0.3438955545425415,
0.527758777141571,
-0.014470893889665604,
0.04415654018521309,
0.06480931490659714,
1.4143574237823486,
-0.083570197224617,
0.6693978309631348,
-0.25717398524284363,
-0.11332928389310837,
0.10788869857788086,
-0.3059631586074... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Problem:And then I came across a team at Harvard University that had taken one such advanced medical technology and finally applied it, instead of in brain research, towards diagnosing brain disorders... | Y entonces me topé con un equipo en la Universidad de Harvard que había tomado una de estas tecnologías médicas avanzadas y finalmente la había aplicado, en lugar de a la investigación del cerebro, al diagnóstico de trastornos cerebrales en niños. | 8 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
0.08909859508275986,
0.5968497395515442,
-0.8102250695228577,
-0.4348105788230896,
-0.6948304176330566,
-0.4903789460659027,
-0.5837519764900208,
0.9912875890731812,
0.725268542766571,
-0.8316633105278015,
-0.1183200404047966,
0.42952147126197815,
-0.3765684962272644,
0.4942839741706848,
... |
Detailed Instructions: In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
... | [200, 6, 267, 48] | 9 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-1.2008328437805176,
0.3927447199821472,
-0.19715997576713562,
-0.3228050470352173,
0.2974884510040283,
-0.7225790619850159,
1.2935575246810913,
-0.15716052055358887,
-0.2856726050376892,
0.37723830342292786,
-0.2890457808971405,
0.6512036323547363,
-0.18531633913516998,
-0.358850777149200... |
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 sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label... | No | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-1.1155840158462524,
-0.07566021382808685,
-0.2797349691390991,
0.07246686518192291,
-0.020356575027108192,
-0.019027533009648323,
-0.07956431806087494,
0.6912975311279297,
-0.7455924153327942,
-0.41621869802474976,
0.08467341214418411,
1.0778391361236572,
0.23733307421207428,
1.0056328773... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example input: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example output: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیق... | شرم بیشتر ، کلیک بیشتر. | 3 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.6304830312728882,
0.3202333450317383,
-0.21624889969825745,
-0.03339091315865517,
-0.3380206823348999,
0.04029481112957001,
0.591272234916687,
0.657110333442688,
-0.6251466870307922,
-0.18308401107788086,
-0.5073829889297485,
0.19160805642604828,
-0.48872822523117065,
-0.176745519042015... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a for... | Dakle, standardizacija ovoga. | 0 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.2962503731250763,
0.6243624687194824,
0.00014192797243595123,
0.5973489880561829,
0.07074780762195587,
-0.7285909652709961,
0.657902717590332,
0.14646367728710175,
-0.3266189694404602,
-0.29993391036987305,
-0.1676529496908188,
0.4666268527507782,
-0.06660681962966919,
0.114012762904167... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Q: In 18th march 1948 inaugurated fisheries union(Mathsya Sangh) and the temporary king of Dhwalapur His Majesty Udhya Sinhg was proposed n... | 18 मार्च 1948 को मत्स्य संघ का उदघाटन हुआ और धौलपुर के तत्कालीन महाराजा उदय सिंह को इसका राजप्रमुख मनाया गया। | 9 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.0454045906662941,
0.1993725746870041,
-0.2647956311702728,
-0.49536705017089844,
0.24804188311100006,
-0.9512192606925964,
-0.005205100402235985,
0.5853489637374878,
-0.7703792452812195,
0.14339157938957214,
0.14309795200824738,
-0.5919177532196045,
0.07209677994251251,
-0.36083966493606... |
This task is about translating a given French language sentence to English.
[Q]: Il y avait un long silence, après cela, et Alice ne pouvait entendre les chuchotements maintenant et puis, comme, '! Bien sûr, je n'aime pas ça, l'honneur yer, à tous, à tous'
[A]: There was a long silence after this, and Alice could only... | That is my father up there!
| 5 | NIv2 | task1690_qed_amara_translation | fs_opt | [
0.007107947021722794,
0.3953736424446106,
0.14476776123046875,
0.1891375035047531,
-0.11588633805513382,
-0.645893931388855,
-0.1786724179983139,
0.3691237270832062,
0.4350617527961731,
-0.0576312430202961,
-0.06567879021167755,
-0.10668960213661194,
-0.29412078857421875,
-0.17901365458965... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
--------
Question: Sentence1: Gina's dad came up from the basement furious.... | Yes
| 7 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
0.05013230815529823,
-0.36030420660972595,
0.5224015712738037,
-0.046653155237436295,
0.18710613250732422,
-0.9274505972862244,
0.10339808464050293,
0.772834062576294,
-0.05174986273050308,
0.3193858563899994,
-0.5341733694076538,
0.23018063604831696,
-0.6490530967712402,
-0.40381807088851... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor | 9 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.8494555354118347,
0.3130049407482147,
-0.35478758811950684,
0.6609314680099487,
-0.4160584807395935,
-1.508764386177063,
0.1956443339586258,
0.6779568195343018,
-0.21785303950309753,
0.41707664728164673,
-0.329914391040802,
-0.035780295729637146,
0.002159787341952324,
-0.2936985790729522... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Q: De esta manera logramos un trabajo bello y decoroso.
A: | とにかくきれいで丁寧な仕事をしました | 4 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.17282088100910187,
0.88145911693573,
0.4873925745487213,
-0.4680171608924866,
-0.31629031896591187,
0.004590397235006094,
-0.2547873258590698,
-0.3187350332736969,
0.4709869623184204,
-0.11313000321388245,
0.11051324754953384,
0.3306579291820526,
-0.3504188656806946,
0.2694191634654999,... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Example Input: But he went further.
Example Output: Mas ainda foi mais longe.
Example Input: After six months, we would connect these women to loans and to markets where they can become local entrepreneurs in their comm... | Então, o que podemos fazer?
| 3 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.23443616926670074,
0.9207676649093628,
0.2651658058166504,
-0.4241495728492737,
-0.01771414652466774,
-0.1773870438337326,
-0.5068556070327759,
1.157450795173645,
0.06703400611877441,
0.04003329202532768,
-1.0140831470489502,
0.6723311543464661,
-0.8638812303543091,
-0.2939370274543762,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Os espellos fúndense e arrefrían moi lentamente, e despois pólense con extrema precisión.
Output: | Os espelhos são moldados e arrefecidos muito lentamente, e depois são polidos com uma precisão primorosa. | 1 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.6910116672515869,
0.6557837128639221,
-0.2479584813117981,
-0.18498265743255615,
-0.48729729652404785,
-0.515092134475708,
0.20837998390197754,
0.334331214427948,
0.21980689465999603,
-0.1562846601009369,
-0.42914581298828125,
-0.05219213664531708,
-0.5146037936210632,
0.923580408096313... |
Detailed Instructions: 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 s... | True | 4 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.05178597569465637,
0.22819742560386658,
0.04198656976222992,
0.08845487982034683,
0.14906907081604004,
-0.574751079082489,
0.7990422248840332,
1.0343987941741943,
-0.316696435213089,
0.34584614634513855,
-0.21118055284023285,
0.08080585300922394,
-0.4187617897987366,
-0.0254402812570333... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
--------
Question: 200年前にアダムスミスは人に劣らない生活を求めることについて語りました
Answer: אדם סמית, לפני 200 שנה, דיבר על תשוקתנו לחיים ללא בושה.
Question: 私たちの多くはエジプト人の男性がゴミを食べている傍ら他の人々が国家財政から何十億ものエジプトポンドをかすめ取っている動画を見てとても不快に感じていました
Answer: רבי... | אז הוא דמיין שלעולם יש ארבעה מימדים של חלל, לא שלושה, ודמיין שאלקטרומגנטיות היא פיתולים ועיקולים באותו מימד רביעי. עכשיו הנה העניין: כשהוא כתב את המשוואות שמתארות פיתולים ועיקולים ביקום עם ארבעה מימדים, לא שלושה, הוא מצא את המשוואות הישנות שאיינשטיין כבר תרגם לשלושה מימדים- אלו היו של כבידה- אבל הוא מצא משוואה אחת נוספ... | 7 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.14055988192558289,
0.3259601593017578,
0.22411596775054932,
0.12703722715377808,
-0.11979986727237701,
-0.0819302573800087,
0.2741689383983612,
-0.5084754228591919,
-0.12219110131263733,
0.24488964676856995,
-0.5362080335617065,
0.931277334690094,
-1.2527087926864624,
-0.249662920832633... |
Given the task definition and input, reply with output. You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what does Tonpei Hidari appear in?
| The Ballad of Narayama | 5 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-1.0131397247314453,
0.18240997195243835,
-0.49592524766921997,
0.6675523519515991,
-0.6470251083374023,
0.5755875110626221,
0.46045565605163574,
-0.1212012842297554,
0.41725003719329834,
-0.7928914427757263,
-0.9960442781448364,
-0.20854997634887695,
-0.6668987274169922,
0.026965029537677... |
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
| 7 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.13890036940574646,
0.32402199506759644,
0.21525084972381592,
-0.2949157953262329,
-0.7117618918418884,
-0.610201358795166,
1.2906638383865356,
0.3335956335067749,
-0.4325641393661499,
-0.5558451414108276,
-0.4290018081665039,
-0.2759719789028168,
-0.7089636325836182,
0.19388505816459656,... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
[Q]: I sat through this turkey because I hadn't seen it before, and because the premise sounded like it had potential. It was mildly entertaining until the ... | negative
| 5 | NIv2 | task284_imdb_classification | fs_opt | [
-0.2628052830696106,
0.250536173582077,
-0.41755297780036926,
0.10777975618839264,
0.2728149890899658,
-0.1900809407234192,
1.231624960899353,
0.8735107183456421,
-0.23173007369041443,
0.7744706869125366,
0.2258119285106659,
0.025492552667856216,
-0.7191500663757324,
0.024442989379167557,
... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
I was SOOOO... disappointed with my experience at Spago, Las Vegas. The Hubs and I were in town for a wedding... | NEGATIVE | 0 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.5559669137001038,
-0.15951108932495117,
0.14404189586639404,
0.1436575949192047,
0.30045706033706665,
-0.5677225589752197,
0.8750501871109009,
0.7481945157051086,
-0.13409742712974548,
0.03440995141863823,
0.691299557685852,
0.10659374296665192,
-0.2861310541629791,
-0.42017847299575806... |
Teacher:You are given a statement written in Hindi. 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: उपर्युक्त प्रमाणों के आधार पर भू-विज्ञ... | यूरोप | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.9443013668060303,
0.059118181467056274,
-0.0737137496471405,
-0.08426521718502045,
-0.3312292695045471,
-0.8371145129203796,
-0.6254252195358276,
0.37825819849967957,
0.026927221566438675,
-0.507693886756897,
-0.15856489539146423,
0.5783948302268982,
-0.05454772710800171,
-0.496565103530... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Example: Monterey is one of those.
Example solution: מונטריי היא אחת מהם.
Example explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Problem: I'd... | Solution: הייתי שמה את הכסף שלי עליו. | 5 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.2890512943267822,
0.7617090940475464,
0.37172794342041016,
-0.4187420606613159,
-0.2513730525970459,
-0.5783525705337524,
0.7478042840957642,
0.17056606709957123,
1.0116305351257324,
-0.5828269720077515,
-0.22949784994125366,
0.34417539834976196,
-0.8718302249908447,
-0.1760013997554779,... |
Detailed Instructions: In this task, you need to reverse the order of words in the given sentence.
Problem:Sentence: four people on a pier overlooking the ocean
Solution: | ocean the overlooking pier a on people four | 8 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.28829091787338257,
1.8008599281311035,
-1.0507333278656006,
-1.0191044807434082,
-0.39281195402145386,
-0.0707239955663681,
0.8266186714172363,
-0.21990598738193512,
0.4829863905906677,
-0.2097533941268921,
-0.8996875882148743,
-0.6425797939300537,
0.2163398563861847,
-0.6560897827148438... |
Detailed Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or ... | Neither | 9 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.38818585872650146,
0.35659635066986084,
0.4740979075431824,
0.5315022468566895,
-0.26518329977989197,
-0.7042983770370483,
-0.14423219859600067,
1.1471916437149048,
0.7225019335746765,
0.09356777369976044,
0.029617436230182648,
-0.6463525295257568,
-0.28961697220802307,
-0.8092733621597... |
Detailed Instructions: 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... | Yes | 8 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.46680834889411926,
0.9497570991516113,
0.7621029615402222,
-0.02869477868080139,
-0.2994566261768341,
-0.9600045680999756,
0.3013210892677307,
0.8730607032775879,
0.4604926109313965,
-0.06590712070465088,
-0.30986151099205017,
0.48108023405075073,
-0.6316821575164795,
-0.188321799039840... |
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.
[Q]: Com... | Non-identity-attack
| 5 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.3626211881637573,
0.11715662479400635,
-0.372050017118454,
0.27384519577026367,
-0.14302682876586914,
-0.288379430770874,
0.944261908531189,
0.6767601370811462,
0.2705692648887634,
0.27265292406082153,
-0.2702977657318115,
0.15670710802078247,
-0.5295754075050354,
-0.34470003843307495,
... |
Teacher:In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Teacher: Now, understand the problem? Solve this instance: The military court hearing the court martial of the WikiLeaks suspect Bradley Manning was on Friday shown a noose that the soldi... | Bradley Manning's pretrial hearing continued today, with a prosecutor showing the court a knotted noose that the Army private made after he was charged with giving classified documents to WikiLeaks. Manning admitted that he contemplated suicide soon after his arrest in Iraq, but he said those feelings quickly subsided ... | 6 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.489177942276001,
0.314498633146286,
-0.7153165936470032,
-0.4909236431121826,
0.18282106518745422,
-0.07554817199707031,
0.41193005442619324,
1.1937029361724854,
-0.1296754628419876,
0.3733677864074707,
-0.18174925446510315,
0.11832690238952637,
-0.3119562864303589,
0.3023587763309479,
... |
In this task, you need to count the number of times the given letter appears in the given sentence.
Let me give you an example: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
The answer to this example can be: 5
Here is why: The letter 'e' appears 5 times in the se... | 2 | 8 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.17631371319293976,
0.029584843665361404,
-0.22367411851882935,
0.15981629490852356,
0.23340407013893127,
-0.8476941585540771,
0.6531078219413757,
0.4420187473297119,
-0.6242629289627075,
-0.10539039224386215,
-0.9871343374252319,
0.29424914717674255,
-0.05134230852127075,
0.337724715471... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
My third point has also been mentioned already. | Den tredje punkten har även den nämnts. | 0 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
0.07377947866916656,
0.7662200927734375,
0.737196683883667,
-0.7441240549087524,
0.5231441259384155,
0.17670735716819763,
1.3101000785827637,
0.8173298835754395,
0.12087137997150421,
0.26619839668273926,
-0.5004376173019409,
0.28325995802879333,
-0.6896176934242249,
-0.44886428117752075,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so... | I always end up with dye on my forehead but never my nose because the _ is so far from the hairline. | 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.6252727508544922,
0.07775256037712097,
0.23814460635185242,
-0.03613733500242233,
0.8801755309104919,
-0.784673810005188,
0.8077875971794128,
1.2472448348999023,
-0.6230037212371826,
-0.3538641333580017,
-0.36958202719688416,
0.28231722116470337,
-0.1815999448299408,
-0.022733049467206,
... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
He intentado analizarlos para ver cómo funcionan.
| حاولت النظر فيها وإخباركم كيف تشتغل. | 5 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.47164779901504517,
0.8306670784950256,
0.21227821707725525,
-0.1835465133190155,
0.03242598474025726,
0.2778688669204712,
1.0976430177688599,
-0.09898604452610016,
0.27201375365257263,
0.02687423676252365,
-0.9539285898208618,
0.012383488938212395,
-0.5484057664871216,
0.210663735866546... |
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 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 o... | Threat | 0 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.41095855832099915,
0.460333913564682,
0.7468048334121704,
0.29705846309661865,
0.03962560370564461,
-0.9709705710411072,
0.8249958753585815,
0.7532132863998413,
-0.0576375350356102,
0.4764247536659241,
0.30270230770111084,
-0.11666008830070496,
-0.5775185823440552,
-0.2226419597864151,
... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
My name is Justin Perez, there is a music gallery opening in Los Angels, LAX from Washington, IAD. Can you help? | customer | 0 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.24615857005119324,
0.05151735991239548,
-0.6635514497756958,
-0.47560355067253113,
-0.1365002691745758,
0.41275128722190857,
-0.18716199696063995,
-0.4836997389793396,
-0.01150330901145935,
0.6839706897735596,
0.18209415674209595,
-0.5528160333633423,
-0.7861044406890869,
-0.01821198314... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Y su interacción comunicativa y social mejoró tan dramáticamente, que lo inscribieron en la escuela regular e incluso se convirtió en un supercampeón de karate.
| E a súa comunicación e interacción social mellorou dunha maneira tan drástica, que foi inscrito nunha escola normal e mesmo se converteu nun super campión de karate. | 5 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-0.25939327478408813,
1.6188106536865234,
0.46317553520202637,
-0.996123194694519,
0.14879575371742249,
-0.41802433133125305,
-0.367616206407547,
0.5617792010307312,
-0.057768095284700394,
-0.5943690538406372,
-0.39747464656829834,
0.47664061188697815,
-1.0133332014083862,
-0.4183989763259... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
ذات يوم تشاجر مع والده وصاح ، أتملي عليّ ما أفعل ؟ | Um dia, teve uma discussão com o pai e gritou: "" Estás a dizer-me o que fazer? | 0 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
0.1242002323269844,
0.8718781471252441,
0.2607090175151825,
-0.6632664799690247,
-1.271512508392334,
0.3839624524116516,
0.2096056193113327,
1.3928258419036865,
0.4362185597419739,
-0.5813305377960205,
-0.18853755295276642,
0.14859656989574432,
-1.2151336669921875,
0.0001486878900323063,
... |
instruction:
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If... | customer: I am travelling on these dates April 21st and 23rd.
| 9 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.19807125627994537,
-0.020910147577524185,
-0.9625222682952881,
-0.399193674325943,
0.27558642625808716,
-0.10055277496576309,
0.9849473237991333,
0.2875630855560303,
-0.5240729451179504,
0.6310670375823975,
0.08879667520523071,
-0.047515954822301865,
0.0016221236437559128,
0.371056050062... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sente... | True | 1 | NIv2 | task1589_scifact_classification | zs_opt | [
0.4661199152469635,
0.17809978127479553,
-0.49027031660079956,
0.15685634315013885,
0.031196454539895058,
-0.019289106130599976,
0.352094441652298,
1.1124941110610962,
0.2316785752773285,
0.24761264026165009,
-0.6398965716362,
0.3110373318195343,
-0.8191238641738892,
0.16991454362869263,
... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
One example: La LGV est très rare en Europe.
Solution is here: LGV is very rare ... | Recently outbreaks have occurred in the Balkans and in North-Eastern Turkey. | 6 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.18633702397346497,
0.3670952320098877,
0.09549684822559357,
-0.2809378504753113,
0.20205354690551758,
0.11422713845968246,
0.4220585227012634,
-0.28095749020576477,
0.3035144805908203,
-0.395209401845932,
-0.3183613419532776,
0.9269158840179443,
-0.7801978588104248,
0.5769193768501282,
... |
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... | Thanks For Viewing "Worldwide7477" | 8 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.38341671228408813,
1.3770275115966797,
0.5617647767066956,
-0.03693743422627449,
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-0.478710412979126,
-0.4214533567428589,
-0.17331188917160034,
-0.4197494387626648,
-0.23465956747531... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: I Have had trouble with HP and XP since upgrading. Although they say it is xp compatable with driver, it is not. Will cause system to lock up and when I called HP they blamed XP. Bought a E... | Negative
| 7 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.19033759832382202,
-0.30015069246292114,
-0.14891186356544495,
0.6965131163597107,
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0.4454421401023865,
-0.026278451085090637,
-0.023319600149989128,
-0.6140480041503906,
-0.550824105739... |
Given the task definition and input, reply with output. 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 prod... | In 1769, the expedition of Captain Gaspar de Portola Anthony Quinn to California is in search of fabled cities of gold. Its religious advisor, peaceloving missionary Father Junipero Serra Michael Rennie, wishes to establish good relations with the local natives and to build a string of missions, beginning at San Diego ... | 5 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
-0.07848969846963882,
0.6581260561943054,
-0.22183352708816528,
-0.4141261577606201,
-0.7297071218490601,
-0.13488252460956573,
-0.11692309379577637,
0.8028954863548279,
0.12688404321670532,
-0.325669527053833,
-0.26967382431030273,
-0.44181138277053833,
-1.0963366031646729,
0.319881111383... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: These look very tasty and me being a candy fr... | Dissapointing | 6 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.7013127207756042,
0.4713200628757477,
0.4542384147644043,
-1.3759876489639282,
-0.18116776645183563,
-0.5505227446556091,
0.5679829120635986,
0.5973186492919922,
-0.7463060617446899,
0.20127138495445251,
0.07185406982898712,
-0.3765736222267151,
-0.4688485860824585,
-0.2614902853965759,... |
Q: Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
CONTEXT: By "Italian Sausage" I thin... | What seasonings should I add to that? | 7 | NIv2 | task1437_doqa_cooking_question_generation | zs_opt | [
0.07427199184894562,
0.043927472084760666,
0.17715764045715332,
0.6684749126434326,
-0.07238489389419556,
0.034718066453933716,
0.2807601988315582,
1.4313585758209229,
-0.0052852146327495575,
0.5545205473899841,
0.7667090892791748,
0.7697146534919739,
-1.245564579963684,
0.4359125196933746... |
Detailed Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or t... | there once be a clock maker who be a greedy taker but all he take be the money of others from kid and mother he be very mean indeed with wealth be all he'll need from the rich to the poor he'd take all of their door greedy taker that clock maker he'd take from the butcher and the baker he'd give to him self with all hi... | 8 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.4037593603134155,
1.4873714447021484,
-0.3546432852745056,
-0.4234529137611389,
-0.25595027208328247,
-0.690279483795166,
0.31344348192214966,
0.16629165410995483,
0.07987212389707565,
-0.5797516703605652,
-0.5576549768447876,
0.21869197487831116,
-0.7467610239982605,
-0.052618585526943... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
See one example below:
Problem: "" Nessun uomo è un'isola completamente a sé.
Solution: "" אף אדם אינו אי העומד בפני עצמו.
Explanation: The Italian sentence is correctly translated into Hebrew, because... | (צחוק) אמרתי לה, כשתגדלי, השלפוחית שלך גם תגדל. | 4 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.15018153190612793,
0.745383083820343,
-0.4900590479373932,
-0.19181331992149353,
-0.37389862537384033,
-0.5671275854110718,
1.1359546184539795,
0.293849378824234,
0.037037208676338196,
-0.3436174988746643,
-0.8175296187400818,
0.13424304127693176,
-1.4272269010543823,
0.2371360361576080... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Consider Input: Context: This study examined the relationship between plasma cholesterol and circulating triiodothyronine and oestradiol in ... | Output: Our data contribute to understanding the function of Tat in the nucleolus, where ribosomal RNA synthesis and cell cycle control take place. The impairment of nucleolar pre-rRNA maturation through the interaction of Tat with fibrillarin-U3snoRNA complex suggests a process by which the virus modulates host respon... | 2 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.10545898973941803,
-0.3820590376853943,
-0.6769776344299316,
0.24770934879779816,
0.38307395577430725,
-0.25870251655578613,
0.5787888169288635,
1.2623361349105835,
0.41373997926712036,
0.4441209137439728,
-0.22469061613082886,
0.19836291670799255,
-0.5797744393348694,
0.4159984290599823... |
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 statement written in Panjabi. 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 op... | ਮਨੋਵਿਗਿਆਨਕ | 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.4430709481239319,
0.46388161182403564,
0.11336541175842285,
0.1918986737728119,
0.24523687362670898,
-0.1535465270280838,
0.18154481053352356,
0.6535375118255615,
0.13764742016792297,
0.5276014804840088,
-0.3678613007068634,
0.3992152810096741,
-1.0301355123519897,
-0.3302673101425171,
... |
Definition: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Input: The vote will take place tomorrow at 12 noon.
Output: | English | 2 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.14234891533851624,
0.32735946774482727,
0.7473230957984924,
0.5740355253219604,
-0.44532328844070435,
-0.18357399106025696,
-0.2770747244358063,
1.1412737369537354,
0.1727716326713562,
-0.4539443552494049,
-0.1706678569316864,
0.08423278480768204,
0.37933245301246643,
-0.435814261436462... |
Given the task definition and input, reply with output. We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is consid... | Not similar | 5 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.5919307470321655,
0.3984321653842926,
0.43549245595932007,
0.0533616840839386,
0.1371798813343048,
-0.42342156171798706,
1.1231358051300049,
0.6432091593742371,
-0.08223035931587219,
0.31871849298477173,
-0.08250439167022705,
-0.11340512335300446,
-0.647201418876648,
0.3504863381385803,... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
-0.052139073610305786,
0.3998715579509735,
0.283654123544693,
-0.25975501537323,
-0.43893277645111084,
-0.49649327993392944,
1.4528018236160278,
0.3044101297855377,
-0.5799970626831055,
-0.712944507598877,
-0.555629551410675,
-0.3247365951538086,
-0.7998509407043457,
0.33463555574417114,
... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | almost every afternoon i eat goat on a spoon every night just at six i eat goat stack on brick every morning just at two i eat goat on a shoe every day just at noon i eat goat on the moon i eat all the goat i be do next time i'll eat on the sun | 3 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.558098554611206,
1.7707836627960205,
-0.1678066849708557,
-0.46024566888809204,
-0.5218156576156616,
-0.8032629489898682,
0.4988035559654236,
0.6365326642990112,
-0.12056927382946014,
-0.629845142364502,
-0.324124276638031,
0.46225786209106445,
-0.8185446262359619,
-0.15029320120811462,... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example: Problem: on a sum of money , the simple interes... | c | 1 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.9556734561920166,
-0.1361236870288849,
-0.6983463168144226,
0.15446367859840393,
0.026358984410762787,
-0.8025991916656494,
1.137434720993042,
0.9420453310012817,
-0.06234121695160866,
0.004298098385334015,
-0.7217292785644531,
0.31148672103881836,
-0.6583974361419678,
-0.360719680786132... |
You will be given a definition of a task first, then some input of the task.
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.
「売り物」として見た場... | NEG | 1 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.13578544557094574,
0.031949687749147415,
0.028597280383110046,
0.22757014632225037,
0.6779581308364868,
-0.13075435161590576,
0.32727962732315063,
0.08351172506809235,
-0.4203457534313202,
0.3050849139690399,
-0.4438282251358032,
-0.6504611968994141,
0.29807770252227783,
0.1600044518709... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Q: 気持ちがすごく明るくなるでしょう ？
A: | این حس خوبی می دهد ، درسته ؟ | 9 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.11198997497558594,
0.552850067615509,
0.21830207109451294,
-0.5100383758544922,
-0.3105935752391815,
-1.1691337823867798,
0.5374283790588379,
0.5919349193572998,
0.6883273720741272,
0.11042432487010956,
-0.7333488464355469,
0.12770839035511017,
-0.2424846738576889,
0.5387405753135681,
... |
Given the task definition and input, reply with output. You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in t... | Synonym | 5 | NIv2 | task276_enhanced_wsc_classification | zs_opt | [
-0.5729914903640747,
0.41503047943115234,
0.3060397803783417,
0.054838746786117554,
-0.5661498308181763,
0.0039977505803108215,
0.7258629202842712,
0.4497448801994324,
0.45285487174987793,
-0.426164448261261,
-1.1494563817977905,
0.3678978383541107,
-0.6791287660598755,
0.1364644467830658,... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
If it uses familiar ingredients.
Would you like to try something you've never eaten before?
I am not familiar, could you tell me about it.
Have you ever read The Education?
I had the flu a couple of weeks ago.
| Have you been feeling well?
| 0 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.7117526531219482,
1.3386290073394775,
0.460836261510849,
-0.30955520272254944,
0.2080768346786499,
-0.856876015663147,
0.5649009943008423,
0.6855771541595459,
-0.10192327201366425,
-0.6105797290802002,
-0.1944156289100647,
-0.10074661672115326,
-1.0357357263565063,
-0.0891418308019638,
... |
Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the even... | Yes | 3 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.09698069840669632,
0.37576839327812195,
0.4363395869731903,
-0.11150375753641129,
-0.5827691555023193,
-0.7596134543418884,
0.8675159215927124,
0.8772628307342529,
-0.36161065101623535,
-0.540989100933075,
-0.41456061601638794,
-0.2894274592399597,
-0.9052205681800842,
0.0192962624132633... |
You will be given a definition of a task first, then some input of the task.
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 coherent / plausible by writing "1" or "2" in the output. If both sentences a... | 1 | 1 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.14878138899803162,
0.8057032823562622,
0.06839078664779663,
0.10131539404392242,
-0.23198148608207703,
0.20293498039245605,
0.18676148355007172,
0.5046833753585815,
-0.03660479187965393,
-0.2225840985774994,
-0.5003710389137268,
-0.4414413273334503,
-0.3737628757953644,
-0.3546485304832... |
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