inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | E
| 0 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.07605667412281036,
0.6158479452133179,
0.06961971521377563,
0.10303789377212524,
-0.13287395238876343,
-0.5186984539031982,
0.8568930625915527,
0.1276826560497284,
0.5686732530593872,
-0.11086636781692505,
-0.27235472202301025,
0.21627186238765717,
-0.9091082811355591,
-0.14110928773880... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Example Input: 4, 9, ['b', '1489', 'H', 'J', 'h', 'L', 'm', '616... | 3397, C, V, 9317, 4643
| 3 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.4251255989074707,
-0.2205558717250824,
-0.7820349931716919,
-0.28389400243759155,
-0.4606129229068756,
-0.5651577711105347,
0.8633281588554382,
0.29711461067199707,
-0.6368067264556885,
0.14476941525936127,
-0.6389596462249756,
-0.13479313254356384,
0.0882958173751831,
0.1342680156230926... |
Detailed Instructions: You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Q: Who is the most famous person in frances ?
Under which Continent Armenia Lies ?
Which country... | Which country is Johannesburg in ? | 9 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
0.43103110790252686,
0.503149151802063,
-0.15326625108718872,
-0.5422497987747192,
-0.11694589257240295,
0.11225156486034393,
0.4593612551689148,
-0.6091227531433105,
0.11277244985103607,
0.058775775134563446,
-0.5446853637695312,
-0.24616022408008575,
-0.5667580366134644,
0.44483661651611... |
Detailed Instructions: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then... | 5924 | 4 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.3125130534172058,
-0.1573515236377716,
-0.6084123849868774,
-0.7649312615394592,
-0.23829053342342377,
-0.3166593015193939,
0.10772515088319778,
0.1944352090358734,
-0.7713569402694702,
0.011356881819665432,
-1.0626262426376343,
-0.057281333953142166,
0.2034514844417572,
-0.269736111164... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Input: Consider Input: S... | Output: going out without my girlfriend for a bit
| 2 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.43607792258262634,
0.5824359655380249,
-0.606357216835022,
-0.48188722133636475,
0.31305503845214844,
-0.23913735151290894,
0.8678007125854492,
1.0110621452331543,
0.026322603225708008,
0.3091059923171997,
0.19781963527202606,
0.9846606254577637,
-0.9850338697433472,
0.05275673419237137,... |
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Let me give you an example: Hi Does R House have a full bar?
The answer to this example can be: I'm unable to find whether R. Ho... | Yes, I found 1 event on Monday the 15th. It's an "Appointment" from 8:00 to 8:30 AM. | 8 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
0.03099317103624344,
0.8122007250785828,
-0.5174974203109741,
0.9238351583480835,
0.026250064373016357,
-1.7665172815322876,
0.9758133292198181,
0.033037979155778885,
0.3361780345439911,
0.015938282012939453,
0.30620527267456055,
0.14520391821861267,
-0.6635282635688782,
0.9670791029930115... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
「ボランティア（アシスタント）に、企業の主要な業務を行っていた労働時間に対して賃金が支払われていない。」 | "Para relawan (Asisten) tidak dibayar untuk jam kerja dimana mereka melakukan tugas-tugas penting perusahaan." | 0 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.16431735455989838,
0.5878260135650635,
0.10303807258605957,
-0.39832672476768494,
-0.03679778426885605,
-0.8682807087898254,
0.21318331360816956,
0.14438647031784058,
-0.284487783908844,
0.11839942634105682,
-0.2795957922935486,
-0.18842394649982452,
-1.1402894258499146,
0.2278877943754... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example input: Está, sin duda, dentro de la línea de las posiciones que nuestro Parlamento siempre ha adoptado... | I have no sympathy for amendments once again backing the TAOs. | 3 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.07530069351196289,
1.0158898830413818,
-0.13972976803779602,
0.16801533102989197,
0.2687963843345642,
-1.7412853240966797,
0.8656840920448303,
0.600108802318573,
-0.186197429895401,
0.3102837800979614,
0.20192931592464447,
0.2202760875225067,
-0.5401792526245117,
0.0883537009358406,
-0... |
Instructions: In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Input: i was feeling very generous wild and crazy and we went through the drive through at steak and shake
Output: | love | 3 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-0.8211411237716675,
0.10139961540699005,
0.34470808506011963,
0.27866607904434204,
-0.3836178779602051,
-0.42945003509521484,
0.4029582142829895,
-0.06453710794448853,
0.40354758501052856,
0.29776912927627563,
0.836696982383728,
-0.31598058342933655,
0.06226739659905434,
0.110812045633792... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Example: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them.
Ex... | Solution: Muitas vezes as outras mulheres diziam à sua mãe "" Tu e a tua filha vão morrer pobres "". Depois de duas semanas a trabalhar nessa aldeia, chegou a altura de me ir embora. | 5 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.17309871315956116,
0.4869595766067505,
-0.013779889792203903,
-0.6510442495346069,
-0.1662689745426178,
-0.6119629144668579,
-0.01280097384005785,
0.5424990653991699,
0.3093074858188629,
-0.5925421714782715,
-0.32305893301963806,
0.8379757404327393,
-0.510733962059021,
0.057729460299015... |
You will be given a definition of a task first, then some input of the task.
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., Person... | No | 1 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.0574909932911396,
0.08615653961896896,
0.41903185844421387,
-0.2585883140563965,
-0.1906464695930481,
-0.9218711853027344,
1.3190125226974487,
0.4420382082462311,
-0.6332870125770569,
-0.131148099899292,
-0.15218830108642578,
-0.26147615909576416,
-0.6637722253799438,
0.3589446544647217,... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
i am constantly adding baby food to regular food [pumpkin, sweet potat... | 3 | 0 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.026851458474993706,
-0.5502008199691772,
0.12839573621749878,
0.28654050827026367,
0.032484546303749084,
-0.03416024148464203,
0.7176516056060791,
1.2489278316497803,
-0.28381067514419556,
0.2303628772497177,
-0.29312625527381897,
0.003621297888457775,
-0.6635362505912781,
-0.33520352840... |
Instructions: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragrap... | Does recurring cold sores mean you have herpes? | 3 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.06111810728907585,
0.7982335090637207,
-0.5173064470291138,
-0.1826314926147461,
0.29966384172439575,
-0.7371585369110107,
0.37073054909706116,
0.420920729637146,
-0.11216937005519867,
-0.1904284656047821,
-0.17947514355182648,
-0.06064677983522415,
-0.9268536567687988,
0.140914872288703... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Example: Grazas.
Example solution: Gracias.
Example explanation: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: En consecuencia, diagnosticáronse máis persoas e tiv... | Solution: Como resultado, más individuos fueron diagnosticados y tuvieron acceso a los recursos que necesitan. | 5 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.4784795641899109,
0.7279014587402344,
0.20401832461357117,
-0.5928374528884888,
-0.07424797117710114,
-1.6860843896865845,
0.6443576812744141,
0.6192657351493835,
0.0855846107006073,
-0.38590574264526367,
-0.6824565529823303,
0.32017749547958374,
-0.5895521640777588,
0.44177305698394775... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | finding
| 6 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.6344525218009949,
0.9407213926315308,
-0.5148299336433411,
-0.09798019379377365,
-0.3479788303375244,
0.3440159261226654,
0.17578795552253723,
0.6567801237106323,
-0.06177248805761337,
0.036435291171073914,
-0.608555257320404,
0.7022934556007385,
-0.2173824906349182,
0.35277003049850464... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
See one example below:
Problem: 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
Solution: Es una lucha interna, una lucha en contra del vicio, el pecado, la tent... | Este edificio, cuando un director artístico quería hacer "" El jardín de los cerezos ""... y quería que la gente saliera de un pozo en el escenario traían una excavadora y hacían un pozo. | 4 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.48573291301727295,
0.24357925355434418,
-0.5172357559204102,
-0.41913485527038574,
-0.1878233551979065,
-0.17321497201919556,
0.3633265197277069,
0.5903866291046143,
-0.07934322208166122,
-0.3023661971092224,
-0.23647165298461914,
-0.02290174923837185,
-0.9023883938789368,
-0.0958760827... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What term ref... | 23.4 Natural selection is the only mechanism that consistently causes adaptive evolution. | 0 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.48199206590652466,
-0.010962188243865967,
-0.5306010246276855,
-0.05980079993605614,
-0.05800145864486694,
-1.0611056089401245,
0.11115039139986038,
0.5724229216575623,
-0.22833365201950073,
-0.20037949085235596,
-0.7109089493751526,
-0.679032564163208,
-0.5432839393615723,
0.10655678063... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Q: Da più di 12.000 civili uccisi deliberatamente nelle guerre civili, nel 1997 e nel 1998, dieci anni dopo, siamo passato a 4.000.
A: حيث انخفض العدد من 12000 ضحية مدنية قتلوا بسبب حروب اهلية بين عام 1997 و 1998 الى ما يق... | لمحاولة اكتشاف تلك الاشياء, ولكن هل ستفيدكم على أي حال ؟
****
| 4 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.7462154626846313,
0.6964290142059326,
-0.19574058055877686,
-0.7330357432365417,
-0.7013620138168335,
-0.23842622339725494,
1.2464839220046997,
0.055591851472854614,
-0.4622494578361511,
0.15762653946876526,
-0.6107748746871948,
0.27184954285621643,
-0.5628740787506104,
0.48290246725082... |
You will be given a definition of a task first, then some input of the task.
You will be given a statement and two events in Croatian. The events are either something that can be caused by the statement, or they are something that might have caused the statement. If they can be consequences of the statement, answer wit... | cause | 1 | NIv2 | task1627_copa_hr_classification | zs_opt | [
0.6684114933013916,
0.7723420262336731,
-0.6430246829986572,
-0.22476932406425476,
-0.27423596382141113,
-0.6240143775939941,
0.5577318668365479,
0.2482011765241623,
0.038163334131240845,
-0.21028918027877808,
-0.02538115717470646,
0.7748196125030518,
-0.9579769968986511,
0.004626986570656... |
Definition: 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 certain conditio... | SELECT Name FROM Products WHERE Price > 240 OR Price < 200 | 2 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.43936455249786377,
0.3328074812889099,
-1.3043299913406372,
0.7451109290122986,
-0.3671199679374695,
-0.09682232141494751,
0.6470387578010559,
0.891932487487793,
-0.34340330958366394,
0.6083298921585083,
0.2280287742614746,
0.5514008402824402,
-0.10527016222476959,
0.5173495411872864,
... |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
ヴェイル氏は委員会で、２０００年に彼の部署によって受け取られたケーブルにも関わらず、AWBがイラクのフセイン政権への不正支給に同意し、小麦価格を上... | Mr Vaile told the commission that despite the cables received by his department in 2000 alleging that the AWB agreed to pay a kickback to Hussein's regime in Iraq, inflating wheat prices and paying money into another non-Iraqi account, he does not recollect being told specific details of the allegations. | 0 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.5607373118400574,
0.4698801040649414,
0.7238527536392212,
-0.13112813234329224,
0.26855456829071045,
0.13775791227817535,
1.3026829957962036,
0.5417609810829163,
-0.4643987715244293,
0.1827302873134613,
-0.36708229780197144,
0.6560119390487671,
-0.8620724081993103,
-0.0713978037238121,
... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example input: Swedish: Jag förklarar debatten avslutad.
English: The debate is closed.
... | Yes | 3 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.24850381910800934,
0.3527873158454895,
0.8490346670150757,
-0.16121700406074524,
-0.14180907607078552,
-1.169633150100708,
0.9488147497177124,
0.31336677074432373,
0.9167988896369934,
0.03827729448676109,
0.01781381480395794,
0.8310064077377319,
-0.4953470528125763,
0.2717633843421936,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Let me give you an example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
The answer to this example can be: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Here is wh... | 私達は素材を変化させ未知の食材を作り出すのです | 8 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.21216151118278503,
1.3249187469482422,
-0.187289297580719,
0.16450181603431702,
-0.7321560382843018,
-0.5660455822944641,
1.0610380172729492,
0.5874181985855103,
0.09136086702346802,
-0.6397484540939331,
-0.8403074741363525,
0.1071055680513382,
-1.2061538696289062,
0.22081679105758667,
... |
Given the task definition and input, reply with output. 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... | 5a, 2c | 5 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.513217568397522,
0.5469107627868652,
-0.06021992117166519,
0.7101569175720215,
-0.07605208456516266,
-0.25117677450180054,
0.2676159143447876,
0.5241382122039795,
-0.2339506447315216,
0.10188747942447662,
-1.1114245653152466,
-0.018530644476413727,
0.13459843397140503,
-0.00614013383165... |
Definition: The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Input: PersonX sends ___ to school
Output: | good | 2 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.017695993185043335,
0.2680194079875946,
-0.12675251066684723,
-0.5870009660720825,
-0.5846415162086487,
-0.09530166536569595,
0.9937658309936523,
0.7763416171073914,
0.18929213285446167,
-0.7674120664596558,
-0.048443809151649475,
-0.022068768739700317,
-0.4326552748680115,
0.2038447707... |
Given the task definition and input, reply with output. In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author... | HYPOTHETICAL | 5 | NIv2 | task282_scruples_event_time | zs_opt | [
0.01784764602780342,
0.37447571754455566,
0.11329052597284317,
0.06612040102481842,
0.6074982285499573,
-0.24086126685142517,
0.3682307004928589,
0.7941099405288696,
0.4102962017059326,
0.11448696255683899,
-0.592760443687439,
0.19485071301460266,
-0.6057487726211548,
0.20602282881736755,
... |
Instructions: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. ... | number | 3 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.5488175749778748,
0.6403176784515381,
-0.702716588973999,
0.40620410442352295,
0.007357156835496426,
0.09592826664447784,
0.666551947593689,
0.7403484582901001,
0.3992336392402649,
0.2312638759613037,
0.10860741883516312,
0.12227541953325272,
-0.3691757023334503,
0.34058159589767456,
0... |
Teacher: In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question: A 13-year-old girl is operated on d... | 2 | 2 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.7245873212814331,
0.2450600564479828,
-0.059281736612319946,
0.4426804184913635,
-0.1048799604177475,
0.012599673122167587,
0.17553837597370148,
1.0034199953079224,
-0.34051722288131714,
0.48765063285827637,
-0.08221647143363953,
0.028700433671474457,
0.2571534812450409,
-0.0053510372526... |
You will be given a definition of a task first, then some input of the task.
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.
సంఖ్య మార్గం, బోబో.
Output: | No way, Bobo. | 1 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.04153414070606232,
0.10902169346809387,
0.27159324288368225,
0.2597230076789856,
0.26183366775512695,
-0.23633548617362976,
0.5356485843658447,
-0.0023957504890859127,
-0.07787379622459412,
-0.21635043621063232,
-0.30604279041290283,
0.09628267586231232,
-0.22315900027751923,
-0.2045400... |
Q: Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
test
A: | best | 7 | NIv2 | task183_rhyme_generation | zs_opt | [
0.24176695942878723,
1.782125473022461,
0.5349000096321106,
-0.47469621896743774,
-0.6074482202529907,
0.19864507019519806,
0.4317127764225006,
0.4991661310195923,
0.24374333024024963,
-0.27588069438934326,
0.05722600594162941,
-0.2868441343307495,
-0.5607377290725708,
0.005779141560196876... |
Detailed Instructions: 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... | What is the first name of the man that pawns the watch of the person looking for the missing woman? | 9 | NIv2 | task001_quoref_question_generation | zs_opt | [
-0.08138386905193329,
0.24938736855983734,
-0.9976903200149536,
0.22380298376083374,
0.16780000925064087,
-0.09396674484014511,
0.6484281420707703,
0.2397928386926651,
0.13313710689544678,
0.12084797024726868,
0.08219042420387268,
-0.03030586987733841,
-0.7041229009628296,
0.81661796569824... |
Given the task definition and input, reply with output. In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a cross walk with traffic cones at night'. Find frequency of the letter 'i'
| 3 | 5 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.8720183372497559,
0.6988766193389893,
-0.014769303612411022,
-0.022586287930607796,
-0.47610849142074585,
0.48231440782546997,
-0.024703316390514374,
0.06138918176293373,
-0.26611170172691345,
-0.0414915531873703,
-1.2229480743408203,
-0.4330736994743347,
-0.17231084406375885,
0.1568567... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Dice, "" Perdón, estoy enojado, y sé algunas cosas, y es mejor que nos pongamos manos a la obra ahora "". Pasé mi vida como un guerrero, trabajando por problemas de mujeres, trabajando en campanas p... | היא אומרת, "" תסלחו לי, אבל אני רותחת. יש כמה עניינים שדורשים טיפול מיידי. "" ביליתי שנים רבות כלוחמת, כפעילה למען נשים, כפעילה במסעות תעמולה פוליטיים, כפעילה לענייני הסביבה. | 9 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
0.1968962550163269,
0.7959370017051697,
-0.23313060402870178,
-0.22474905848503113,
-0.35881301760673523,
-0.996627688407898,
-0.007700110785663128,
0.6305547952651978,
0.8989288210868835,
0.5000437498092651,
-0.30634528398513794,
0.011410151608288288,
-0.7653202414512634,
-0.6160128712654... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Problem:Sentence 1: One is The old neighborhoods are br... | yes | 8 | NIv2 | task199_mnli_classification | zs_opt | [
-0.9525852203369141,
0.5479772090911865,
0.36009693145751953,
0.10161446034908295,
-0.06876221299171448,
-1.3215535879135132,
0.3322601914405823,
1.4356361627578735,
-0.06615428626537323,
0.024768203496932983,
-0.7121819257736206,
-0.5471985936164856,
-0.7610952854156494,
0.007398325949907... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
[EX Q]: విద్యుత్ చోదిత వాహనాల సంఖ్య నేడు ఉన్నటువంటి 3 మిలియన్ స్థాయి నుండి 2030 నాటికి 320 మిలియన్ స్థాయికి చేరగలదని కూడా అంచనా వేసింది.
[EX A]: 2030... | എന്റെ പ്രിയപ്പെട്ട നാട്ടുകാരെ, ഒരു പ്രത്യേക മേഖലയ്ക്ക് അല്ലെങ്കില് ഒരു പ്രത്യേക സമുദായത്തിന് അല്ലെങ്കില് ഒരു കൂട്ടത്തിന് എന്ത് ചെയ്തുവെന്നതിന്റെ അടിസ്ഥാനത്തിലാണ് പൊതുവില് നമ്മുടെ നാട്ടിലെ ഗവണ്മെന്റുകളെ തിരിച്ചറിഞ്ഞിരുന്നത്.
| 6 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
-0.8212057948112488,
0.13560353219509125,
0.07720734924077988,
-0.6506143808364868,
-0.023145724087953568,
-0.5169287919998169,
0.009031396359205246,
0.2692597508430481,
-0.14107421040534973,
0.4446215033531189,
-0.14944207668304443,
0.20362982153892517,
-0.11871862411499023,
-0.6613948345... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Aarhus Airport is located in Tirstrup in the Central Region of Denmark.Lars Løkke Rasmussen is the leader of Denmark and Danish is the local language.
| 1 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.07736621052026749,
0.4731922149658203,
-0.5316122770309448,
-0.28383803367614746,
-0.2209244966506958,
0.18250897526741028,
-0.5020886063575745,
0.1549707055091858,
-0.5674662590026855,
0.40338802337646484,
-0.8311315774917603,
0.33253973722457886,
-0.5763521194458008,
0.170953631401062,... |
Given the task definition, example input & output, solve the new input case.
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 prop... | CC | 1 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.01059721875935793,
0.5503495931625366,
-0.26741746068000793,
0.31584084033966064,
-0.07327502965927124,
-0.6489998698234558,
0.41853752732276917,
0.9535518884658813,
-0.5458340644836426,
-0.35629957914352417,
-0.036232613027095795,
0.3158085346221924,
-0.1277121603488922,
-0.038616843521... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@TasteofKaos its ok.... girl problems..... #BSB | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt | [
-0.8410715460777283,
0.05434899777173996,
0.7244128584861755,
0.2928483188152313,
0.2714993357658386,
-0.5521305799484253,
0.13051968812942505,
0.6734482049942017,
0.2213032841682434,
1.0920523405075073,
-0.3637980818748474,
-0.4366947412490845,
0.014922667294740677,
-0.6389292478561401,
... |
Given the task definition and input, reply with output. In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face... | N | 5 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-0.9524101614952087,
0.5310455560684204,
0.3320084512233734,
-0.571054220199585,
-0.07508927583694458,
0.5807787179946899,
0.17273736000061035,
0.5133121013641357,
0.13479450345039368,
-0.17600125074386597,
-0.4364013671875,
0.12832224369049072,
-0.7644789218902588,
-0.09641780704259872,
... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[EX Q]: [25... | []
| 6 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.8823232054710388,
0.42530831694602966,
0.00017221574671566486,
-0.9210120439529419,
0.0861932560801506,
-0.3315489888191223,
1.013019323348999,
0.1748056709766388,
-0.4839460253715515,
0.42176854610443115,
-0.8456355333328247,
0.1570810079574585,
-0.22009894251823425,
-0.560764908790588... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 simi... | PRON | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.4163321256637573,
0.09881111979484558,
-0.19296962022781372,
0.07147219777107239,
-0.07671753317117691,
-0.4792739450931549,
0.6437916159629822,
0.6063127517700195,
-0.40201878547668457,
0.0642678439617157,
-0.5592839121818542,
0.12776890397071838,
-0.4485589265823364,
0.5188553333282471... |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Q: ACTION1: not get getting DH's mom's husband a gift that was only f... | yes | 9 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.30130112171173096,
-0.48964399099349976,
0.25093749165534973,
0.3019072413444519,
-0.35449856519699097,
-1.3464292287826538,
0.15506967902183533,
0.8538185358047485,
0.009166155941784382,
0.22745567560195923,
-0.13740970194339752,
-0.6006813049316406,
-0.7526867389678955,
-1.14924526214... |
Part 1. Definition
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปาร... | すべては内務省報道担当官、ゼマリー・バシャリーによって確定されたと報告された。 | 7 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.00201204139739275,
0.4969663619995117,
-0.589634895324707,
0.4862598478794098,
-0.2058144211769104,
-0.7400038242340088,
0.6488850712776184,
0.3879169821739197,
0.25512224435806274,
-0.3407595157623291,
-0.8950707912445068,
0.9202090501785278,
-0.5723679065704346,
0.9236811399459839,
0... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 7 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.5382167100906372,
0.49374476075172424,
0.11178476363420486,
-0.25440365076065063,
-0.7372704744338989,
-1.1030669212341309,
1.2576968669891357,
0.5881034135818481,
-0.5128172039985657,
-0.4670804738998413,
-0.6111065745353699,
-0.6013799905776978,
-0.5385394096374512,
0.35196027159690857... |
Definition: 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).
Input: Their efficiency has been truly remarkable.
Output: | Effektiviteten är verkligen anmärkningsvärd. | 2 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.03248511254787445,
0.8359585404396057,
0.4021357595920563,
-0.7806292176246643,
-0.015198517590761185,
-0.0971275269985199,
0.9517349004745483,
0.33698898553848267,
0.7302185297012329,
0.176087886095047,
-0.5369718670845032,
0.17067568004131317,
-0.5316811800003052,
0.22274452447891235,... |
TASK DEFINITION: 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.
PROBLEM: There is a DVD published in the UK in 2002 Code HRGD002 on the cover, no ASIN, VFC 19796 on the disk, no IFPI code in the inner rim... | negative
| 8 | NIv2 | task284_imdb_classification | fs_opt | [
-0.23142898082733154,
0.06855843216180801,
-0.4737253785133362,
0.5138570070266724,
-0.09705421328544617,
0.16713592410087585,
1.059342861175537,
0.8599635362625122,
0.43478667736053467,
-0.05035495385527611,
-0.6076759099960327,
0.28438591957092285,
-0.5975252389907837,
0.0528935641050338... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
[Q]: Context: Sonia is a genus of moths belonging to the subfamily Olethreutinae of the family Tortricidae.
Questio... | 5
| 5 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.26268017292022705,
0.790424108505249,
0.12607596814632416,
0.4602401852607727,
-0.30087652802467346,
-0.022408442571759224,
-0.07079491019248962,
0.8937922120094299,
-0.3219975233078003,
0.07112550735473633,
-0.06438269466161728,
0.2755129933357239,
-0.8807565569877625,
0.102051496505737... |
TASK DEFINITION: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
PROBLEM: There were a lot of Samoans in my Army unit
SOLUTION: Not Hope Speech
PROBLEM: whoring... | Not Hope Speech
| 8 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
0.45302844047546387,
0.1303357183933258,
0.06535433977842331,
-0.23221352696418762,
-0.45499375462532043,
-0.4879666864871979,
0.5296882390975952,
0.7795286178588867,
0.2425791621208191,
0.14001372456550598,
-0.32471388578414917,
-0.14581298828125,
-0.4623461365699768,
-0.08357593417167664... |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Ex Input:
Sentence: The mana... | Male
| 1 | NIv2 | task341_winomt_classification_gender_anti | fs_opt | [
-0.9144145250320435,
0.5348556041717529,
-0.03931879252195358,
-0.7097370028495789,
0.4254838824272156,
0.015964148566126823,
-0.23700636625289917,
0.4185131788253784,
1.0406713485717773,
0.37772148847579956,
-1.0511760711669922,
-0.09740252792835236,
-0.5067355632781982,
-0.48425331711769... |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Diego Forlan question: what team does diego forlan currently play for? | ['Sport Club Internacional'] | 0 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.18087084591388702,
0.37723588943481445,
-0.47455212473869324,
-0.6903560161590576,
-0.7441630363464355,
-0.05338529497385025,
0.7589190006256104,
0.1725873053073883,
0.5231660604476929,
-0.5976203083992004,
-0.409696489572525,
0.6636826395988464,
-0.5466334819793701,
0.24185970425605774... |
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 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 re... | Yes | 0 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.552663266658783,
0.05530839413404465,
0.10809503495693207,
0.40135568380355835,
-0.2459743618965149,
-0.6778583526611328,
0.8647593855857849,
0.7524667978286743,
-0.5160415172576904,
0.21951603889465332,
-0.1514768898487091,
-0.26941031217575073,
-0.4742654263973236,
0.05931030958890915,... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk thrice after walk opposite left thrice | 4 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.47356492280960083,
1.0529093742370605,
-0.3073981702327728,
0.137973815202713,
-0.03242744877934456,
0.3324476182460785,
-0.19533352553844452,
0.8654158115386963,
-0.7331012487411499,
-0.14584961533546448,
-0.4255945384502411,
-0.14403770864009857,
-0.5835499167442322,
-0.116597890853881... |
Definition: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: だが、ロス・ブラウンがイギリス人を雇うことを熱望し、ブラジル人のルーベンス・バリチェロを雇うか伝説のレーサー、アイルトン・セナの甥でGP2ドライバーのブルーノ... | No | 2 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.9688197374343872,
-0.4755270779132843,
0.2404850572347641,
-0.23195257782936096,
-0.04065417870879173,
-0.3474199175834656,
0.8201061487197876,
0.20239296555519104,
-0.053769372403621674,
-0.07864029705524445,
-0.3845408260822296,
0.044024065136909485,
-0.2694576382637024,
0.32722401618... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Example: Ne... | Solution: Not Funny | 5 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.35731929540634155,
0.2790289521217346,
0.5171317458152771,
0.11248107254505157,
0.09358946233987808,
-0.5414761304855347,
0.25368472933769226,
0.9399079084396362,
-0.26455244421958923,
0.24203696846961975,
-0.5665118098258972,
-0.330319344997406,
-0.7438839673995972,
-0.05997756496071815... |
Detailed Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In y... | Relieved. | 8 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.16634830832481384,
0.7255980372428894,
0.09536315500736237,
-0.03559979796409607,
-0.11219941079616547,
-0.43705976009368896,
0.5972352027893066,
0.8336879014968872,
-0.034927695989608765,
-0.38387352228164673,
-0.7107501029968262,
0.22441038489341736,
-0.7015967965126038,
-0.2894487380... |
Instructions: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in min... | What's missing from the American immigrant narrative | 3 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.3213409185409546,
0.44562703371047974,
0.0383736789226532,
0.028329862281680107,
0.013248700648546219,
-0.38292065262794495,
0.046234626322984695,
0.631098747253418,
-0.1120576485991478,
-0.20241713523864746,
-0.02963501214981079,
-0.09255026280879974,
-0.3839849531650543,
0.16441939771... |
Given the task definition and input, reply with output. In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '2 1/2 c. sugar', '4 Tbsp. margarine', '1 c. milk', '2 c. plain flour', '1/2 tsp. salt', '4 tsp. baking powder', '4 Tbsp. cocoa', '2/3 c. cocoa... | Chocolate Fudge Upside-Down Cake | 5 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.5038062334060669,
0.6692781448364258,
-0.30277299880981445,
0.30046364665031433,
0.2888622283935547,
0.41916465759277344,
0.3602655529975891,
0.8477643728256226,
-0.6025873422622681,
-0.38840287923812866,
-0.44803231954574585,
-0.11742115020751953,
-0.09330663084983826,
-0.33064645528793... |
Detailed Instructions: 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 provid... | False | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
1.0616095066070557,
0.06622953712940216,
-0.42915645241737366,
-0.1170075386762619,
-0.12925021350383759,
-1.1720218658447266,
0.3235829174518585,
0.6496217250823975,
0.27259212732315063,
0.41900962591171265,
-0.49719059467315674,
0.0260600782930851,
-0.21336854994297028,
-0.05618580058217... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Output: Non-hateful
| 2 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.09278996288776398,
-0.15602700412273407,
-0.1201729029417038,
0.6437390446662903,
0.25309744477272034,
-0.2842826843261719,
0.6553918123245239,
1.0065209865570068,
0.3089907169342041,
0.7635993957519531,
-0.40328288078308105,
0.3412725329399109,
-0.23931379616260529,
-0.8788337707519531... |
In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not in... | Offensive | 4 | NIv2 | task1539_kannada_offenseval_dravidian_classification | zs_opt | [
0.3154776692390442,
0.7503858208656311,
0.3425537347793579,
0.00005832337774336338,
0.061481133103370667,
-1.2484734058380127,
0.8152471780776978,
0.1271114945411682,
0.2206011414527893,
-0.7334801554679871,
-0.019004620611667633,
-0.36474794149398804,
-0.6561938524246216,
0.08672232925891... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: If I hear one more word abou... | what items make them scream? | 0 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.968402624130249,
0.8855714201927185,
-0.18699397146701813,
-0.04094350337982178,
-0.20381876826286316,
-0.003195597790181637,
0.1776091605424881,
0.46648192405700684,
0.18347977101802826,
0.2967628836631775,
-0.209840327501297,
0.6591374278068542,
-0.24599988758563995,
-0.09626637399196... |
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.
[EX Q]: On the last day of his visit a public meeting was also arranged in the Gymkhana Maidan in which a large number of people came .
[EX A]: उनके भ्रमण के अंत... | आखिर सितंबर , 1923 में , दिल्ली में कांग्रेस का एक विशेष अधिवेशन बुलाया गया , जहां कांग्रेसियों को चुनावों में भाग लेने और विधानमंडलों के मंच से सरकार का अनवरत अडिग विरोध जारी रखने का अनुमति संबंधी प्रस्ताव पास हो गया ।
| 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.19511988759040833,
-0.15611624717712402,
-0.07840131968259811,
-0.10054333508014679,
-0.4030928611755371,
-0.4608219265937805,
0.3142275810241699,
-0.18137672543525696,
-0.5584658980369568,
0.2003399133682251,
-0.6808570623397827,
0.3363351821899414,
-0.05465608835220337,
0.6487773656845... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | Output: Of the admirals that the HMS Royal Anne served for, which had the longest time in military service?
| 2 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.4450226426124573,
0.37296247482299805,
-0.5542657971382141,
-0.6464662551879883,
0.6259954571723938,
-0.7396700978279114,
0.734822154045105,
0.598957896232605,
0.16157576441764832,
0.042782314121723175,
0.15750795602798462,
0.34271129965782166,
-0.6341184973716736,
0.6052052974700928,
... |
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Input: Consider Input: at the store beef jerky was... | Output: 24
| 2 | NIv2 | task862_asdiv_multidiv_question_answering | fs_opt | [
0.7551306486129761,
0.6311647295951843,
-0.1875421106815338,
-0.11312481760978699,
-0.07129739224910736,
0.8885304927825928,
0.2325972318649292,
0.19479385018348694,
-0.10190561413764954,
-0.544132649898529,
-0.30755704641342163,
0.1705126017332077,
-1.1649129390716553,
-0.2200288772583007... |
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 'ADJ'... | SYM
| 6 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.6334348320960999,
0.5044314861297607,
-0.07305002212524414,
0.004825663287192583,
0.11396916210651398,
-0.6399443745613098,
0.8578189015388489,
0.8457198143005371,
-0.724856972694397,
-0.1385398656129837,
-0.26523900032043457,
0.12834101915359497,
-0.5318183898925781,
0.506537675857544,
... |
Teacher:Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? Solve this instance: Context : Airline Disaster is a disaster film by The Asylum directed by John J. Willis III and starring Meredith Baxter, Scott Valentine, Lindsey McKeon and Jay Be... | The Asylum | 6 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.01024597231298685,
0.7010212540626526,
-0.46120554208755493,
-0.4387928247451782,
0.3656332492828369,
0.2476637363433838,
-0.912284791469574,
0.21679969131946564,
-0.3082911968231201,
0.48578256368637085,
0.3273213505744934,
-0.363103449344635,
-0.16753564774990082,
-0.7979488372802734,
... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[EX Q]: [1, 0, 6, 0, 4, 6, 7, 5, 4]
[EX A]: [1, 7, 5]
[EX Q]: [7, 2, 2, 6,... | [2, 1]
| 6 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.33762335777282715,
0.7150099277496338,
-0.1314777135848999,
-0.37288913130760193,
-0.009378813207149506,
-0.5035160779953003,
0.8936886787414551,
0.29946082830429077,
-0.46697258949279785,
-0.2643076181411743,
-0.7438969612121582,
-0.1986711621284485,
-0.1688111424446106,
-0.05259659513... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
One example is below.
Q: Context: Our ... | what does he congratulate them on? | 9 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.2278990000486374,
1.0996360778808594,
0.2678985297679901,
-0.4231535494327545,
0.06858623027801514,
-0.5429234504699707,
0.43944036960601807,
0.35150283575057983,
0.17024044692516327,
-0.35685962438583374,
-0.40220123529434204,
-0.1073935329914093,
-0.17601674795150757,
-0.3093969225883... |
Instructions: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Input: जिस दिन तुम उस झोपड़ी को दोबारा खड़ा कर ... | Hindi | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
0.08683492243289948,
0.9122490882873535,
0.8700631856918335,
0.29500237107276917,
-0.6929005980491638,
-1.0739130973815918,
0.16905924677848816,
0.6280041933059692,
-0.6743412613868713,
-0.5067498683929443,
-0.5919294357299805,
0.031665150076150894,
-0.0388861820101738,
-0.2977345883846283... |
TASK DEFINITION: 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 ... | strengthener
| 8 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.6885572075843811,
0.14760960638523102,
-0.5849030017852783,
-0.07497906684875488,
0.12758943438529968,
-1.0254101753234863,
1.350534439086914,
0.9230979681015015,
0.24984686076641083,
-0.6664481163024902,
-0.7712016105651855,
-0.3404112458229065,
-0.8561265468597412,
0.22543156147003174,... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest... | Which Boxing Weight Division is the Boxing match related to the title [WBA World Champion]?
| 7 | NIv2 | task402_grailqa_paraphrase_generation | fs_opt | [
0.6726552844047546,
0.7072420716285706,
-0.0556073933839798,
0.04834508150815964,
0.4144238233566284,
-0.15475955605506897,
0.17086344957351685,
0.30642902851104736,
0.3886954188346863,
-0.43503376841545105,
-0.6295391917228699,
0.24598202109336853,
-0.6176449656486511,
-0.0698297470808029... |
You will be given a definition of a task first, then some input of the task.
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the ... | no | 1 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.7886995077133179,
-0.26231658458709717,
-0.07529556006193161,
0.43914729356765747,
0.32195526361465454,
-0.3615274429321289,
1.4726265668869019,
0.9800046682357788,
-0.6781424283981323,
0.2458004355430603,
0.20185443758964539,
0.9629658460617065,
-0.37871167063713074,
0.03028767928481102... |
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Problem:unemployed
Solution: | employed | 8 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.1879432201385498,
1.8274050951004028,
0.4650557041168213,
-0.6484299898147583,
-0.46554017066955566,
-0.2956634759902954,
-0.21405133605003357,
0.9284847974777222,
0.248808354139328,
-0.3229021430015564,
-0.6667909622192383,
-1.0331661701202393,
-1.106236457824707,
-0.08396247774362564,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX remained very angry while PersonY tried to make amends because _ always held grudges.
Sentence 2: PersonX remained very angry while PersonY tried to make amends because _ never held grudges.
| 7 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.31537967920303345,
0.4851157069206238,
-0.11726740002632141,
-0.17348481714725494,
0.37316665053367615,
-0.5202141404151917,
0.6258593797683716,
0.5667023062705994,
-0.06091500073671341,
-0.5042300820350647,
-0.3076271712779999,
-0.18001630902290344,
-0.39704981446266174,
0.2194437682628... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Context: Wait it's legit National Snake Da... | no | 0 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.6984667778015137,
-0.05218164622783661,
0.7877197861671448,
0.0064174095168709755,
-0.06329169124364853,
0.5005568265914917,
0.4576664865016937,
-0.17021140456199646,
-0.3965916037559509,
0.6066836714744568,
0.09117596596479416,
0.003785686567425728,
-0.6193872690200806,
0.1652901470661... |
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 story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches realit... | red_treasure_chest | 0 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.4675533175468445,
-0.2539452314376831,
-0.3470817804336548,
0.1699773073196411,
-0.16309961676597595,
0.05980090796947479,
0.6751934289932251,
0.7901259064674377,
-0.16574254631996155,
0.10037963837385178,
0.12047213315963745,
0.2929331064224243,
0.005122572183609009,
0.2858463227748871,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | i, L, h, f, L, q, s, L, T, x, l, V, 8607, 9391, 3633, 6683, 3985, 6491, 2205, 6151, 7961, 6283, 6883, 1945, 8265, 3865, 1413, 2205, 1411, 5739, 4303, 119, 1431 | 4 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.6459857225418091,
0.3205112814903259,
-0.1548335701227188,
-0.48108845949172974,
-0.10251970589160919,
-0.127242773771286,
-0.24839356541633606,
0.1083836778998375,
-0.2865407466888428,
0.016322100535035133,
-1.0382542610168457,
0.158092200756073,
0.0897708386182785,
0.2931087911128998,... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y... | to have fun
****
| 4 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
0.2106117308139801,
0.4431125223636627,
-0.5165958404541016,
-0.40738290548324585,
0.20419012010097504,
-0.44649946689605713,
0.9527069330215454,
0.4050344228744507,
0.23108960688114166,
-0.5546561479568481,
-0.3034764528274536,
-0.8747609257698059,
-0.44585520029067993,
0.2776361703872680... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: They serve European food then? Sentence2: It's an expensive european place in the centre at St. Michael's Church Trinity Street City Centre cb21su with phone 01223309147. Would y... | Answer: (A) User | 0 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.577852725982666,
1.0753741264343262,
-0.44206327199935913,
-0.11201715469360352,
0.4107723832130432,
-0.6012696623802185,
0.9611961841583252,
0.9720238447189331,
-0.41471508145332336,
0.412977010011673,
0.6919326186180115,
-0.01495650876313448,
-0.3678034842014313,
0.1976415514945984,
... |
Detailed Instructions: 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 .
Problem:Statement: उत्तर पश्चिमी सेना का गठन अप्रैल 1942 में उत्तर पश्चिमी कमान से उत्तर पश्च... | कोहट | 8 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.13328278064727783,
0.9798337817192078,
-0.7087180614471436,
0.07961636036634445,
-0.008449496701359749,
-0.42648571729660034,
0.9488447904586792,
0.570494532585144,
0.4272279441356659,
-0.4692491590976715,
-0.8318142890930176,
-0.47018736600875854,
0.3853129744529724,
0.11503171920776367... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
[EX Q]: Context: Godspeed to the heroic Ir... | no
| 6 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.5302433967590332,
-0.21457529067993164,
-0.5800060033798218,
-0.6279157996177673,
0.3563820719718933,
-0.45708227157592773,
1.0999947786331177,
0.3100876212120056,
0.1666364073753357,
0.007347655016928911,
-0.31731927394866943,
0.0022127258125692606,
-0.48155319690704346,
0.2961736023426... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Ex Input:
É o chamado TOR, que é outro sensor de nutrientes, coma a ruta da insulina.
Ex Output:
Istnieje jeden, zwany TOR, jest kolejnym sensorem odżywczym, podobnie jak szlak insulinowy.
Ex Input:
O mellor del nas ec... | Należy do świata duchowego.
| 1 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-1.0682196617126465,
0.4750709533691406,
-0.4116695523262024,
0.21590447425842285,
0.14952678978443146,
-0.646758496761322,
0.16811391711235046,
0.05970550328493118,
-0.4195038676261902,
-0.3110007047653198,
-0.45550474524497986,
0.3621249198913574,
-0.513637900352478,
0.34637928009033203,... |
Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: [[2, 43, 42, -5], [11, 47, -4... | [-18060, -24299, -2576, -17086545, -5618340, 26404, 11573280, -687648] | 3 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.13306686282157898,
0.2522936761379242,
-0.9719520807266235,
-0.21621787548065186,
-0.15139494836330414,
0.09974876046180725,
1.278101921081543,
-0.0601421482861042,
-0.34150147438049316,
-0.6133930087089539,
-1.5402663946151733,
-0.07917480915784836,
-0.5469282865524292,
-0.037837672978... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
"" אף אדם אינו אי העומד בפני עצמו.
Solution: "" Nessun uomo è un'isola completamente a sé.
Reason: The Hebrew sentence is co... | Era una campagna a livello mondiale. | 2 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.052789006382226944,
0.596676766872406,
0.295946329832077,
-0.5257269144058228,
-0.416159451007843,
-1.1945950984954834,
0.6791728734970093,
0.5500944256782532,
-0.20588319003582,
-0.4090067446231842,
-0.18006201088428497,
0.09921957552433014,
-0.9817864894866943,
0.04153312370181084,
... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Problem:['8603', 'Y', 'R', '4349', '2401', 'c', '3709', 'a', 'P', '313', '9935', '9893', 'o', 'J',... | Y, R, c, a, P, o, J, r, M, G, Y | 8 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.049475785344839096,
0.6128062605857849,
-0.2438896894454956,
-0.0931224524974823,
0.07453974336385727,
0.058350931853055954,
0.27236151695251465,
-0.49165207147598267,
0.08801308274269104,
0.036022964864969254,
-0.698519766330719,
-0.41461649537086487,
0.451566219329834,
-0.027588196098... |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
[EX Q]: Product: You recharge this electronic hand warmer via USB. (Expect it to take about 65 minutes to fully power... | Usually it takes 24 hours to report on a ct scan.
| 6 | NIv2 | task870_msmarco_answer_generation | fs_opt | [
0.8716709613800049,
0.12893187999725342,
-1.3077247142791748,
0.1289660632610321,
0.4658460021018982,
-0.9822731018066406,
0.621422290802002,
1.0059802532196045,
-0.46900683641433716,
0.060486700385808945,
-0.05553328990936279,
0.6557860970497131,
-0.43663290143013,
-0.27954500913619995,
... |
Detailed Instructions: 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.
Problem:['i', 'O', '7881', 'Y', 's', 'G', '7445', '6671', '5415', 'B', '2129', '9493', '3039', 'r', 'F', 'b', '2499', 'N']
Solution: | 44572 | 8 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.14349353313446045,
0.7593779563903809,
-0.6017970442771912,
-0.6587151288986206,
0.14969997107982635,
-0.5735946893692017,
0.11447952687740326,
-0.3016800582408905,
-0.3231603503227234,
-0.13496166467666626,
-1.493363857269287,
-0.262457013130188,
0.016009123995900154,
-0.417604565620422... |
Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Input: Statement: wow so you don't get a chance to to ... | 2 | 3 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.41317540407180786,
0.16666781902313232,
0.3968508839607239,
-0.25123006105422974,
0.6447561979293823,
-0.6749846935272217,
0.20053943991661072,
0.5767853260040283,
-0.2912408411502838,
0.19795972108840942,
-0.2059791386127472,
0.12780079245567322,
-0.010364370420575142,
-1.05229783058166... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest... | The [App Store] distributed which video game version? | 4 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.29800429940223694,
-0.15266814827919006,
-0.36626699566841125,
0.6143191456794739,
0.20111018419265747,
-1.0498391389846802,
0.21093308925628662,
1.1959275007247925,
-0.23704484105110168,
-0.1672360748052597,
-0.029634805396199226,
-0.2989377975463867,
-0.9211549758911133,
-0.10861076414... |
Q: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The s... | Yes | 7 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.5410435199737549,
0.07071387022733688,
0.3369041681289673,
0.9526150226593018,
-0.6926488876342773,
-0.5595674514770508,
0.3269919157028198,
1.6793060302734375,
0.3373755216598511,
-0.5757807493209839,
-0.4582659602165222,
-0.40758979320526123,
-0.06072066351771355,
-0.07964637875556946... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Q: quindi abbiamo avviato la compagnia.
A: | ولذلك بدأنا الشركة. | 9 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.02838975191116333,
1.291858196258545,
0.23845705389976501,
-1.1823678016662598,
-0.24789664149284363,
0.42261022329330444,
0.5962011814117432,
0.49553805589675903,
0.8913235664367676,
0.28180935978889465,
-0.017102068290114403,
-0.7238174080848694,
-0.3353215754032135,
0.238066196441650... |
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
One example is below.
Q: My boyfriend (well just call him M) and I are creators on Instagram (he is also on TikT... | RIGHT | 9 | NIv2 | task224_scruples_anecdotes_ethical_judgment | fs_opt | [
0.046925220638513565,
0.12465091794729233,
0.09174446761608124,
0.7476024627685547,
0.421970009803772,
-0.6683066487312317,
0.48435261845588684,
0.6523394584655762,
-0.13765376806259155,
0.036425985395908356,
0.23639562726020813,
0.31101587414741516,
-0.7654730677604675,
0.2265417128801345... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Ex Input:
התבקשתי לבוא לטגוסיגלפה ולדבר שוב בארבעה ובחמישה בינואר.
Ex Output:
I was asked to come to Tegucigalpa and talk again on January fourth and fifth.
Ex Input:
כלכלן חשוב אחר, תיאודור שולץ, זכה ב-1974 בפרס נובל כשה... | So this kind of confirmed my idea that through a creative project, we can teach people about engineering.
| 1 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.9898665547370911,
0.5704086422920227,
0.4264032244682312,
0.3914034366607666,
0.16981612145900726,
-0.45836424827575684,
0.29374077916145325,
-0.4307210445404053,
0.06960055232048035,
0.12202557176351547,
-0.5630967617034912,
0.22914963960647583,
-0.30992528796195984,
-0.193851664662361... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Entre 1500 y 1800, quizás un mínimo de crecimiento económico. Pero menos en un siglo de lo que esperaríamos ver en todo un año hoy día.
Output: | Od 1500 do 1800, nieznaczny wzrost ekonomiczny. Mniej w ciągu wieku...... niż można by się spodziewać dziś w ciągu roku. | 2 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.5839561820030212,
0.8487784266471863,
-1.0749707221984863,
0.09270665049552917,
-0.46757978200912476,
-0.7991719245910645,
-0.27775466442108154,
0.5763841271400452,
0.36724162101745605,
0.23366528749465942,
0.022343721240758896,
0.2914658486843109,
-0.6757290363311768,
-0.02685112319886... |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: ਦੋਹਾਂ ਨੇਤਾਵਾਂ ਨੇ ਮਾਲ ਅਤੇ ਸਰਵਿਸ, ਸੂਚਨਾ, ਵਿਚਾਰ, ਸੱਭਿਆਚਾਰ ਅਤੇ ਜਨਤਾ ਦੇ ਅਦਾਨ-ਪ੍ਰਦਾਨ ਨੂੰ ਪ੍ਰੋਤਸਾਹਿਤ ਕਰਨ ਵਾਲੀ ਸੰਰਚਨਾ ਸਥਾਪਨਾ ਰਾਹੀਂ ਦੋਹਾਂ... | వస్తువులు, సేవలు, సమాచారం, ఆలోచనలు, సంస్కృతి, ప్రజల సత్వర రవాణా కు అవసరమైన మౌలిక వసతులను అభివృద్ధి చేయడం ద్వారా ఉభయ దేశాల మధ్య అనుసంధానాన్ని మెరుగుపరచవలసిన అవసరాన్ని ఉభయ దేశాల నాయకులు ప్రత్యేకంగా గుర్తు చేసుకున్నారు. | 9 | NIv2 | task1065_pib_translation_punjabi_telugu | zs_opt | [
-0.4594154357910156,
0.5205014944076538,
0.22830329835414886,
0.40319952368736267,
0.6053141951560974,
-1.0461368560791016,
0.723788857460022,
0.1400032788515091,
-0.4909061789512634,
-0.23158255219459534,
-0.0033424997236579657,
-0.594516396522522,
-0.24478068947792053,
0.0493928641080856... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Problem:In fact, the head of Harvard's observatory back then gave a great debate in which he argued that the Milky Way Galaxy was the entire universe.
Solution: | 事実、当時のハーバード大学天文台でも天の川が宇宙全体なのか否かについて真剣に討論していました | 8 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
0.4673306941986084,
0.6131627559661865,
-0.29380372166633606,
-0.4476251006126404,
0.12269631773233414,
-1.1866776943206787,
-0.4778043329715729,
-0.5568822026252747,
0.09278466552495956,
-0.9846879243850708,
-0.4134669005870819,
-0.15090411901474,
-0.4673740565776825,
0.711396336555481,
... |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be l... | ham | 4 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-0.7631543874740601,
0.06627585738897324,
0.8446996212005615,
-0.8923977613449097,
-0.11763325333595276,
-0.7161592245101929,
-0.017987582832574844,
0.02858465164899826,
-0.6634579300880432,
0.3684212565422058,
-0.49408072233200073,
0.5263019800186157,
-0.5047789812088013,
-0.4576368927955... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Output: ایلان: درسته. این مهمه که بخش... | اما حس کردم دیگر کنترلی روی زندگیم ندارم. | 1 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.49372634291648865,
1.0483884811401367,
0.2870030403137207,
-0.3324626088142395,
-0.6439169049263,
0.42976462841033936,
1.3448314666748047,
0.4340856075286865,
0.05895332619547844,
-0.4489455223083496,
-1.098140001296997,
0.9589856863021851,
-0.7716705799102783,
0.09488309919834137,
0.... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 4 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.37852075695991516,
0.24181191623210907,
0.06230548769235611,
-0.0017009276198223233,
-0.5322813987731934,
-0.9607768058776855,
0.9998410940170288,
0.6588960289955139,
-0.5541194677352905,
-0.2606014609336853,
-0.2645270526409149,
-0.5671488642692566,
-0.7895040512084961,
0.09005282819271... |
Teacher:You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Teacher: Now, understand the problem? Solve this instance: Personality: I am currentl... | I love the rolling stones, my favorite song is thunder. | 6 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.05037875473499298,
0.575626015663147,
-0.598070502281189,
-0.21524843573570251,
-0.1301230490207672,
-0.07918217033147812,
0.6589362621307373,
0.8351908326148987,
-0.527967631816864,
-0.22364851832389832,
0.4614771604537964,
0.030161177739501,
-0.039867792278528214,
-0.7738182544708252,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.