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 |
|---|---|---|---|---|---|---|
Q: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Adrian Ronan (born 1970) is an Irish retired hurler who played as a full-forward for the Kilkenny senior team.
Answer : hurler
A: | What was Adrian Ronan's career? | 7 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
1.4755306243896484,
0.9526295065879822,
-0.8792157769203186,
-0.5051854848861694,
-0.5657822489738464,
-1.0410444736480713,
0.936585545539856,
0.014054616913199425,
0.8508641719818115,
-0.5240620374679565,
-0.1378399133682251,
0.7488752603530884,
-1.807373046875,
0.1422278881072998,
0.05... |
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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... | Yes | 5 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.27423420548439026,
0.4838973879814148,
0.0519048348069191,
0.31186115741729736,
-0.47436612844467163,
-0.6200940608978271,
0.7136366367340088,
0.5191203951835632,
-0.5140005946159363,
-0.6357772946357727,
-0.8968285322189331,
-0.2708888649940491,
-0.47511404752731323,
0.12995044887065887... |
Teacher:In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Teacher: Now, understand the problem? Solve this instance: Abstract: How instructive cues present on the cell surface have their p... | yes | 6 | NIv2 | task1587_scifact_classification | zs_opt | [
0.3473653793334961,
-0.9282472729682922,
-0.7010161876678467,
0.1467328667640686,
0.49915653467178345,
-0.8551405668258667,
0.08834726363420486,
0.9689561128616333,
-0.06774395704269409,
0.47263938188552856,
-0.5605884790420532,
-0.37032586336135864,
-0.7158037424087524,
0.1733482778072357... |
Teacher:In this task, you are given a question. You have to answer the question based on your information.
Teacher: Now, understand the problem? Solve this instance: Buddymoon was written in part by a German actor who appeared in a number of TV shows was named one of The Hollywood Reporter's top 25 digital stars in wha... | 2015 | 6 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.9106500744819641,
0.6305519342422485,
0.2973995506763458,
-0.5531123876571655,
0.41197657585144043,
0.20615297555923462,
0.6756242513656616,
0.4884282350540161,
0.09400321543216705,
-0.29183369874954224,
0.2531663179397583,
0.2541881203651428,
-1.3310039043426514,
-1.1545047760009766,
... |
Instructions: 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.
Input: కేవలం ఒక రబ్బరు పట్టీ.
Output: | Just a gasket. | 3 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
0.0036416996736079454,
1.1588630676269531,
0.46798771619796753,
0.4141947329044342,
0.47804325819015503,
-0.9771458506584167,
0.25207817554473877,
-0.1502380073070526,
-0.04607580229640007,
-0.2683504819869995,
-0.5378683805465698,
0.4729755222797394,
-0.4452763795852661,
0.440872967243194... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Part 2. Example
ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Answer: 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
Explanation: The Farsi sentence... | 何百メートルも離れた人のクローズアップを撮ることができますこんな風に (男が落馬する — 笑) 多くの人があの人大丈夫かと電話してきました | 7 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.3448033928871155,
1.2074625492095947,
-0.32498669624328613,
-0.05838237330317497,
-0.2864519953727722,
-0.10217630863189697,
1.3287639617919922,
0.260028600692749,
0.13778240978717804,
-0.6437797546386719,
-1.074204683303833,
0.349761962890625,
-0.9134783744812012,
0.29773592948913574,
... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Example: هم حسی (synesthesia) فرایندی عصب‌شناختی است که در آن، تحریک یک گذرگاه حسی یا شناختی به تجربه‌ای خود به خود و بی‌اختیار در یک گذرگاه حسی یا شناختیِ دیگر می... | Solution: از چیزهایی که روزه را باطل می‌کند | 5 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.4603307843208313,
0.32095301151275635,
-0.09052534401416779,
0.24450497329235077,
-0.39819616079330444,
-0.23612475395202637,
1.167293667793274,
1.056273102760315,
0.2753174304962158,
0.18794956803321838,
-1.0177055597305298,
0.30703455209732056,
0.2104557454586029,
-0.15871164202690125,... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | sadness | 0 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.9394726157188416,
-0.031025318428874016,
0.25124257802963257,
-0.5100820064544678,
-0.45745211839675903,
-0.21187403798103333,
0.5210776329040527,
0.8010706305503845,
-0.06022373214364052,
-0.27859586477279663,
-0.6583950519561768,
-0.08405731618404388,
-0.17599764466285706,
0.089038185... |
instruction:
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
question:
[123.511, 37.811, 249.595... | 54.058
| 9 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.3716549277305603,
0.17596779763698578,
-1.1369173526763916,
-1.1415643692016602,
0.2058461308479309,
0.2819696068763733,
0.4319097399711609,
0.3335556983947754,
-0.29882049560546875,
0.004849049728363752,
-1.586919903755188,
0.3135143518447876,
-1.0163394212722778,
0.2940172553062439,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Example Input: و اینکه ۲۰ درصد احتمال دارد که او را بازگردانیم.
Example Output: ויהיה גם בערך 20 אחוז שהוא יחזור.
Example Input: متاسفانه ، چاقی مفرط نه تنها یک مشکل آمریکایی است ،
Example Output: לרוע המזל, השמנה אינה רק בע... | דמיינו שהוא אומר לכם להזיז את המשאית העליונה שמאלה
| 3 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-0.6768538951873779,
0.6258041858673096,
0.08868429809808731,
0.2512170076370239,
-0.9818793535232544,
-0.017571888864040375,
1.1557533740997314,
0.9867349863052368,
0.3903363347053528,
-0.39812588691711426,
-1.4328922033309937,
1.0461622476577759,
-0.517421543598175,
0.46576008200645447,
... |
instruction:
Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
question:
How did the plague infiltrate Damascus no sorry Alexandria?
answer:
How did the plag... | What did Article 12 of the Allied Armistice terms require Germany to withdraw from?
| 9 | NIv2 | task1622_disfl_qa_text_modication | fs_opt | [
0.4260643720626831,
0.4049934148788452,
-0.33632487058639526,
0.017428573220968246,
-0.845454216003418,
-0.47428274154663086,
1.0787845849990845,
-0.15524794161319733,
0.3879703879356384,
0.3284991979598999,
-0.6819740533828735,
0.2647840976715088,
-0.9396532773971558,
0.3516780138015747,
... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Question: Donald is elderly, and Sha... | greater | 0 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.04377775639295578,
0.5780847072601318,
-0.17604157328605652,
-1.0166480541229248,
-0.43157756328582764,
-0.31182754039764404,
1.1446157693862915,
0.8039330244064331,
0.16688627004623413,
0.0730837807059288,
-0.37209993600845337,
-0.31177419424057007,
-0.7816762924194336,
-0.143222197890... |
TASK DEFINITION: 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.
PROBLEM: Diddly-ub-డూ-డీ-MOy
SOLUTION: Diddly-ub-doo-dee-moy
PROBLEM: ఈ మొదటి సారి.
SOLUTION: This is t... | Only thing was, when we went to bury her, she was still breathing.
| 8 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
0.15728126466274261,
0.4431675672531128,
0.1650962233543396,
-0.15537771582603455,
0.050266750156879425,
-0.5373256206512451,
1.1357250213623047,
0.12696193158626556,
0.10064254701137543,
-0.2599482238292694,
-0.4973759949207306,
0.35495662689208984,
-0.4855804443359375,
0.8423380255699158... |
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 is considering doing something in the future.
One examp... | HISTORICAL | 9 | NIv2 | task282_scruples_event_time | fs_opt | [
0.4081518054008484,
0.0870933011174202,
0.1785738468170166,
-0.16654208302497864,
0.6668838262557983,
-0.7721584439277649,
1.1334686279296875,
0.7638152241706848,
-0.2219470739364624,
0.07007203251123428,
-0.33658599853515625,
0.7087898254394531,
-0.2899857759475708,
0.10219883173704147,
... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Input: Comment: These idiots look like Pokémon Go fans lol! Seriously- unreal
Outpu... | Insult | 2 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.6977227330207825,
0.1764439195394516,
0.49710458517074585,
0.3421948552131653,
-0.021315470337867737,
-0.432791531085968,
0.25411152839660645,
0.15255007147789001,
0.4755983352661133,
-0.14898844063282013,
-0.18009480834007263,
-0.013595087453722954,
-0.4485926628112793,
-0.817329466342... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c... | A fat cat sits upon a business sign. | 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.5665140748023987,
0.5043413043022156,
0.5545424818992615,
-0.5660454034805298,
0.3115076422691345,
-0.8450145721435547,
-0.817375659942627,
0.775817334651947,
0.2800183892250061,
-0.3375093638896942,
-0.36498162150382996,
-0.19413916766643524,
-0.5919479131698608,
-0.5060645937919617,
... |
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.
Let me give you an example: Context: ... | what will president trump do when congress sends him a healthcare replacement bill? | 8 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.1653003692626953,
0.7742384672164917,
0.2895727753639221,
-0.484874427318573,
0.4326394200325012,
-0.8928594589233398,
-0.055526722222566605,
0.5503520369529724,
-0.023807503283023834,
-0.09765936434268951,
-0.14348220825195312,
-0.05148496851325035,
0.19649314880371094,
-0.444906562566... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Ex Input:
if you're going to do your own taxes, name something you probably need
Ex Output:
computer/calculator
Ex Input:
nam... | nose
| 1 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.587933361530304,
0.6608268022537231,
-0.5740535259246826,
0.7323358654975891,
-0.59628826379776,
-0.5725453495979309,
-0.2545776069164276,
0.9140722155570984,
0.36148977279663086,
0.36171045899391174,
0.022825060412287712,
0.7038822174072266,
-0.4715205430984497,
-0.6875293254852295,
... |
A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence.
--------
Question: குருதேவ் ஓர் உலகக் குடிமகன் என்று அவர் புகழாரம் சூட்டினார்.
Answer: He described Gurudev as a global citizen.
Question: இருப்பினும், இந... | Ministry of Home Affairs NCMC meets for the second time in two days to review flood situation in Kerala
| 7 | NIv2 | task992_pib_translation_tamil_english | fs_opt | [
-0.12303609400987625,
0.7915359735488892,
0.9096395969390869,
-0.06108669191598892,
-0.05006199702620506,
-1.422255277633667,
0.19187206029891968,
-0.6087625026702881,
-0.7956832647323608,
0.1325930953025818,
-0.4341185390949249,
0.38793766498565674,
-0.5162171125411987,
0.3452697098255157... |
Q: 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.
നടപ്പ് വര്ഷം ഇന്ത്യന് സമ്പദ്ഘടന മൂന്ന് ട്രില്ല്യണ് ഡോളര് സമ്പദ്ഘടനയായി മാറും.
A: | ప్రస్తుత ఆర్ధిక సంవత్సరంలో భారత ఆర్ధిక వ్యవస్థ వేల లక్షల డాలర్ల స్థాయికి చేరుతుంది | 7 | NIv2 | task1049_pib_translation_malayalam_telugu | zs_opt | [
-0.299153596162796,
1.0834124088287354,
0.13571375608444214,
-0.021936820819973946,
-0.3886190354824066,
-0.8597400188446045,
0.2583100497722626,
0.6621475219726562,
0.021409017965197563,
-0.43195873498916626,
-0.5438233017921448,
0.0008544441661797464,
-0.2018868327140808,
-0.496650129556... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | OFFENSIVE | 0 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.3110005855560303,
0.5993880033493042,
0.711444616317749,
0.8495471477508545,
-0.34378987550735474,
-0.5330312252044678,
0.2685595452785492,
0.41126012802124023,
0.5149956941604614,
0.17973826825618744,
-0.060898229479789734,
-0.06434154510498047,
-0.39907974004745483,
-1.015505433082580... |
instruction:
In this task, you are given a post in English 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 ... | Hateful
| 9 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.9320013523101807,
0.5477292537689209,
0.40318557620048523,
0.4646926820278168,
-0.37273460626602173,
-0.8137304186820984,
0.6101887822151184,
0.704468846321106,
0.3752305507659912,
0.6953613758087158,
-0.1568218171596527,
0.2179987132549286,
-0.8335486650466919,
-0.4812176823616028,
0... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
M: Are you going on holiday with your brother again this year? W: Yes. He's coming home from Canada tomor... | (C) Going boating.
| 0 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.30935585498809814,
0.0673169195652008,
-0.1143825501203537,
-1.4031567573547363,
0.4990251362323761,
-0.7295153141021729,
1.0437589883804321,
0.467082679271698,
-0.07291967421770096,
-0.19058068096637726,
0.20702052116394043,
0.5727738738059998,
-0.22021988034248352,
0.5572500228881836,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Let me give you an example: این یک خانه ی اسکیمو می شود.
The answer to this example can be: Così diventa un igloo.
Here is why: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
OK. ... | MR: Chris, la cosa stupefacente è che questa poca polvere senza alcun valore, che rappresentava un barlume di speranza per Jenesis, non solo sta tenendo in vita Jenesis e altre persone, oggi; ma produce ricavi per quasi un miliardo e mezzo di dollari l'anno. | 8 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
0.03403342515230179,
0.7135653495788574,
-0.4811151325702667,
0.1379827857017517,
-0.2545378804206848,
-1.344773769378662,
0.4655262529850006,
0.0422748401761055,
0.30710870027542114,
0.09426423907279968,
-0.8611000776290894,
1.1135146617889404,
-0.6684553623199463,
0.27138280868530273,
... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Example Input: Text: so basically i have been researching katanas for a history project and i got curiou... | i needed to check my phone at work and they don't allow us to do that. i dropped my iphone into the toilet at work and pissed on it because i was afraid our vp would get mad at me for having my phone out.
| 3 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.20143181085586548,
-0.04680968075990677,
-0.3741067051887512,
-0.3850381374359131,
0.5015588998794556,
0.02458186447620392,
0.9272741079330444,
0.7702893018722534,
0.37053877115249634,
-0.08655765652656555,
-0.029654178768396378,
0.38650408387184143,
-0.933117151260376,
-0.22175656259059... |
Given the task definition and input, reply with output. In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Copolymers last two to _ years.
| three | 5 | NIv2 | task672_nummersense | zs_opt | [
0.26661962270736694,
0.9386228919029236,
-0.40943771600723267,
-0.27698394656181335,
-0.5089073181152344,
-0.29818475246429443,
-0.20154041051864624,
0.16419926285743713,
-0.021612245589494705,
-0.23007386922836304,
-0.32947325706481934,
0.8084795475006104,
-0.12976795434951782,
0.34125345... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | Solution: [['b', '1', '3', '1', 'u'], ['b', '1', '3', '1', 'P'], ['b', '1', '3', 'u', 'P'], ['b', '1', '1', 'u', 'P'], ['b', '3', '1', 'u', 'P'], ['1', '3', '1', 'u', 'P']] | 5 | NIv2 | task208_combinations_of_list | fs_opt | [
0.17330002784729004,
0.06064072251319885,
-0.6515164375305176,
0.4749952256679535,
0.8454228639602661,
-0.41073596477508545,
0.3814430236816406,
1.0323855876922607,
-0.24440070986747742,
0.4465647339820862,
-0.2582748532295227,
-0.0677213966846466,
0.1352573037147522,
-0.3150143623352051,
... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | anti-stereotype | 3 | NIv2 | task320_stereoset_classification_race | fs_opt | [
-0.30434244871139526,
0.23284727334976196,
0.45192751288414,
0.14063119888305664,
-0.10230039805173874,
-0.28208625316619873,
0.307367205619812,
0.625910758972168,
0.5776981115341187,
-0.03510589152574539,
-0.5262656211853027,
-0.052398841828107834,
-0.8504410982131958,
-0.2658210396766662... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
本です児童書です
Output: | Obtés libros das máquinas, libros para nenos. | 1 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.6111925840377808,
0.4200277030467987,
-0.20100164413452148,
-0.8291906714439392,
0.06794194877147675,
0.33108580112457275,
1.126633644104004,
0.13081014156341553,
0.19687657058238983,
-0.7355859279632568,
-0.29912155866622925,
0.37511688470840454,
-0.7694642543792725,
0.198135644197464,... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | The eyes of PersonX are green, while PersonY has brown eyes, so _ is has more dominant genes. | 8 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.9035301208496094,
-0.13106119632720947,
-0.16192367672920227,
-0.5407530069351196,
0.052478209137916565,
-0.595068097114563,
1.336804986000061,
0.8665787577629089,
0.32931405305862427,
-0.7206642031669617,
-0.5290859341621399,
-0.09363624453544617,
-0.6930842995643616,
0.5100424289703369... |
Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. ... | (D) | 2 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.4840407073497772,
0.011631734669208527,
0.4631730914115906,
-0.12981857359409332,
0.5706048607826233,
-0.7571077346801758,
0.5760850310325623,
1.178605318069458,
-0.2822573482990265,
-0.21385537087917328,
-0.5663373470306396,
0.6465214490890503,
-0.5812963247299194,
0.34486377239227295,
... |
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answe... | Step1: What is felting?, Step2: Will washing wool cause #1?, Wikipedia page for step 1: Felting, Wikipedia page for step 2: , not_definitive_answer: False, incorrect_answer: False
| 1 | NIv2 | task168_strategyqa_question_decomposition | fs_opt | [
1.2017786502838135,
0.025038745254278183,
-0.8637670278549194,
0.3306637704372406,
0.22818304598331451,
-1.1659735441207886,
0.9689784646034241,
0.5903793573379517,
-0.24686691164970398,
0.4947448968887329,
-0.17621658742427826,
0.45300349593162537,
-0.31547799706459045,
0.2238836586475372... |
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Sentence: A electronic transformer uses electromagnetic induction to change the voltage of electric current. Question: What type of device uses electromagnetic induction to change... | electronic transformer | 0 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
-0.6665499210357666,
0.3356577754020691,
-0.41471725702285767,
0.4642854332923889,
-0.21036377549171448,
-0.727849006652832,
0.08903072774410248,
0.022545726969838142,
0.8801521062850952,
0.10759599506855011,
0.24958539009094238,
0.20569580793380737,
-0.1852612942457199,
-0.620159149169921... |
Q: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Thuzio is a company that will give you (and your guests) access to intimate events with legends from the e... | This company lets you book small events with NFL Hall of Famers Oscar | 7 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.14746911823749542,
0.13792771100997925,
-0.7715198993682861,
0.5469697713851929,
0.3775741159915924,
-0.16812750697135925,
0.5911053419113159,
0.31532007455825806,
-0.24595361948013306,
0.276819109916687,
0.09192825853824615,
0.4816952347755432,
-0.3610878586769104,
0.2101161628961563,
... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | OFFENSIVE | 9 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.1634056568145752,
0.4868371784687042,
0.5102910995483398,
0.5638993382453918,
-0.456287682056427,
-0.9261754751205444,
0.5012480020523071,
0.2043001353740692,
0.5512048006057739,
-0.04365559667348862,
0.21539726853370667,
-0.22462528944015503,
-0.3152098059654236,
-0.7231217622756958,
... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[Q]: Statement: कोळी हा समाज संपूर्ण भारतात पूर्वीपासून समुद्र किनाऱ्यावर तसेच काही ठिकाणी तलाव, नद्या ह्या ठिकाण... | पातूर
| 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.23111587762832642,
0.678557813167572,
-0.35564205050468445,
-0.24939976632595062,
0.13639411330223083,
-0.5157334208488464,
-0.09886980801820755,
1.0552208423614502,
-0.6164423227310181,
0.006861111614853144,
-0.05146591365337372,
0.9030696749687195,
-0.40071797370910645,
-0.111019328236... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | B
| 7 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.2513134479522705,
0.0007411963306367397,
-0.6198906302452087,
0.18342198431491852,
-0.014146974310278893,
0.1896601766347885,
0.5425837635993958,
0.9802510738372803,
-0.10229239612817764,
-0.5583447217941284,
-0.8143830299377441,
0.5724035501480103,
-0.20547738671302795,
0.00016422197222... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Ex Input:
Large buses and cranes on the wet parking lot of a commercial building.
Ex Output:
વાણિજ્યિક મકાનની ભીની પાર્કિંગની મોટી બસો અને ક્રેન્સ.
Ex Input:
Two bright green passe... | ક્યાં તો કૂતરો ટોપીને પસંદ કરે છે અથવા તેના માલિકનું માનવું છે કે આ એક સારી ચિત્ર હશે.
| 1 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.6886531114578247,
0.19130006432533264,
-0.3999071419239044,
-0.07546672970056534,
-0.04087415337562561,
-0.3963685631752014,
-0.2195340245962143,
-0.23484767973423004,
0.07266855239868164,
-0.13523322343826294,
-0.6246474385261536,
0.3618113696575165,
0.19828400015830994,
-0.37226763367... |
Given the task definition and input, reply with output. In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Question: What are all scientific explanations and interpretations b... | All scientific explanations and interpretations based on facts. | 5 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.02360217273235321,
0.9088830947875977,
-0.2536908984184265,
-0.2694331109523773,
-0.5355997681617737,
-1.2135392427444458,
-0.1355743408203125,
0.06441935896873474,
0.3871625065803528,
-1.005414605140686,
-1.294163703918457,
0.37595221400260925,
-0.32042044401168823,
0.24734970927238464,... |
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 that the answer flips to another object in the question. Remember the questi... | I'm getting a tattoo soon of either a heart or a skull. I'm told the _ is too hardcore though. | 9 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.8509025573730469,
0.3032303750514984,
0.030526848509907722,
-0.1482107937335968,
0.626763641834259,
-0.8629305362701416,
0.7826537489891052,
1.122107744216919,
-0.6376797556877136,
-0.24583056569099426,
-0.45660728216171265,
0.23506969213485718,
-0.46370965242385864,
0.09554673731327057,... |
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref... | No
****
| 4 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.505554735660553,
0.5642593502998352,
-0.3758589029312134,
-0.24547573924064636,
0.8697369694709778,
-0.7893476486206055,
0.3578834533691406,
0.696232795715332,
-0.5245687365531921,
0.14581328630447388,
0.24597090482711792,
-0.023586245253682137,
-0.6495749950408936,
0.49174073338508606,
... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
[EX Q]: Fryers have ____ thermostats.\Question: Choose the right answer from options given a) five b) three c) two d) one
[EX A]: c
[EX Q]: Cats ... | b
| 6 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.08919896185398102,
0.14552539587020874,
-1.275890588760376,
0.4947074353694916,
-0.056630298495292664,
-0.5111312866210938,
0.7425177693367004,
1.169914722442627,
-0.3822636008262634,
-0.22969950735569,
-0.04082723706960678,
0.2942546308040619,
-0.07943996042013168,
-0.17918068170547485... |
Detailed Instructions: Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Q: famous
A: | amos | 9 | NIv2 | task183_rhyme_generation | zs_opt | [
0.643106997013092,
1.8391969203948975,
0.9556765556335449,
-0.22424575686454773,
-0.39349880814552307,
-0.3245709240436554,
-0.06715136766433716,
-0.03440042957663536,
0.28647592663764954,
-0.588029682636261,
0.3560113310813904,
0.0449538491666317,
-0.864591658115387,
-0.4043540358543396,
... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | AUTHOR
****
| 4 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.21550561487674713,
0.22279834747314453,
0.003843397833406925,
0.11171475052833557,
0.05181725323200226,
-0.33059194684028625,
0.38242411613464355,
0.7842088937759399,
-0.06978701055049896,
-0.020389538258314133,
-0.13886544108390808,
0.3946649134159088,
-0.6449337005615234,
-0.0134461112... |
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 humans, including fictional ones (e.g., a group or organization of persons , a... | Organization.
****
| 4 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.5946366190910339,
-0.08401376008987427,
-0.2325834035873413,
0.5146967172622681,
-0.39461931586265564,
-1.1706401109695435,
1.029139518737793,
0.8011029958724976,
-0.6187488436698914,
-0.3747931718826294,
-0.5360479354858398,
0.45819610357284546,
-0.4520722031593323,
-0.03309445083141327... |
You will be given a definition of a task first, then some input of the task.
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Ple... | souffle | 1 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.17791196703910828,
0.8868703246116638,
0.23779726028442383,
-0.17807330191135406,
0.551392138004303,
-0.200038880109787,
0.8861831426620483,
0.8396890163421631,
-0.12690016627311707,
-0.10491292923688889,
0.20656919479370117,
-0.15771153569221497,
-0.09191202372312546,
-0.42981094121932... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity t... | (E) | 0 | NIv2 | task302_record_classification | fs_opt | [
0.053641654551029205,
0.33489716053009033,
-0.5910297632217407,
0.1586560606956482,
0.031646620482206345,
0.1767675280570984,
0.020728517323732376,
0.9440255165100098,
-0.2951338589191437,
0.8970297574996948,
0.19204604625701904,
0.32513564825057983,
-0.545379638671875,
0.11899874359369278... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Input: Consider Input: Ian Parkin (born Wakefield, Yorkshire, 1950 - 1 July 1995) was a musician who played rhythm guitar with the first in... | Output: Fischer
| 2 | NIv2 | task330_gap_answer_generation | fs_opt | [
0.4565345048904419,
0.38410693407058716,
-0.3411875069141388,
-0.21005216240882874,
0.6160414218902588,
-0.7123239040374756,
0.38318338990211487,
0.3509368896484375,
0.02202138863503933,
0.49050629138946533,
-0.00019391649402678013,
0.7798239588737488,
-0.4389518201351166,
-0.5389324426651... |
Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the category fro... | electronics | 8 | NIv2 | task767_craigslist_bargains_classification | fs_opt | [
0.12494195252656937,
0.20842646062374115,
-0.5441488027572632,
0.42817461490631104,
0.808961808681488,
0.2869347631931305,
0.3766803741455078,
0.9507177472114563,
-0.5429097414016724,
0.18147331476211548,
0.17650020122528076,
0.9059434533119202,
-0.3027002215385437,
0.05140841379761696,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
--------
Question: ['Z', '5215', '279', 'C', '9541', 'K', '901', 'e', 'I', '799', ... | 20
| 7 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.129795640707016,
-0.0060141305439174175,
-0.5529313683509827,
-0.020403891801834106,
-0.09708519279956818,
-0.5613845586776733,
0.6300369501113892,
0.4416410028934479,
-0.7426680326461792,
0.2395009845495224,
-0.7227783799171448,
0.3520771861076355,
-0.06723357737064362,
0.1719534397125... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal | 3 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.7182170152664185,
0.4993782639503479,
-0.2249390333890915,
0.24854429066181183,
-0.5658222436904907,
-0.5800511240959167,
0.719182014465332,
0.34937602281570435,
-0.03279354050755501,
-0.12872019410133362,
-0.5441619157791138,
0.48547977209091187,
-0.25270771980285645,
-0.35008639097213... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
तो राष्ट्रपति जी ने आपकी इतनी तारीफ क... | ସରକାରଙ୍କର ଏହି ପ୍ରୟାସ ଦହେଜ ସମେତ ସଂପୂର୍ଣ୍ଣ ଦକ୍ଷିଣ ଗୁଜରାଟର ବିକାଶ ପାଇଁ ସରକାରଙ୍କର ପ୍ରତିବଦ୍ଧତାର ଏକ ଜ୍ୱଳନ୍ତ ଉଦାହରଣ । ଭରୁଚ ସମେତ ଦକ୍ଷିଣ ଗୁଜରାଟରେ ଔଦ୍ୟୋଗିକ ବିକାଶର ଗତିକୁ ଦ୍ରୁତ କରିବା ପାଇଁ ଦହେଜ ଆଉ ହାଜିରା ଭଳି କେନ୍ଦ୍ର ଉପରେ ଆମେ ବିଶେଷ ଧ୍ୟାନ କେନ୍ଦ୍ରିତ କରିଛୁ । ପେଟ୍ରୋଲିୟମ, କେମିକାଲ ଏବଂ ପେଟ୍ରୋ କେମିକାଲ ନିବେଶ ଅଂଚଳର ସ୍ଥାପନା ସହିତ ହିଁ ରେଳ ନେଟୱାର୍... | 0 | NIv2 | task985_pib_translation_hindi_oriya | fs_opt | [
-0.17654186487197876,
0.49538666009902954,
-0.07020362466573715,
0.6295418739318848,
0.1829845905303955,
-0.3734637498855591,
0.1932375431060791,
0.7236557006835938,
-0.10077016055583954,
-0.2845692038536072,
-0.8037245273590088,
0.08173373341560364,
-0.1789708137512207,
-0.056956741958856... |
Teacher:Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue... | That's exactly it. Now it's 1970's. So, you guys should probably just get out of here. | 6 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.195427805185318,
1.0651850700378418,
0.5775591135025024,
-0.06791477650403976,
0.17035432159900665,
-0.894432783126831,
0.3297956585884094,
0.6202991008758545,
-0.40133365988731384,
-0.3943096101284027,
-0.43344658613204956,
0.41836535930633545,
-0.8799608945846558,
0.4123554825782776,
... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Q: Soak salt meat overnight in cold water., Drain off water., Put meat in a large pot with enough water to cover it., Cook 1 hour., Add s... | lean salt pork, swiss chard | 4 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
-0.5076646208763123,
0.6389518976211548,
-0.5305840373039246,
0.4245060682296753,
-0.5544223785400391,
-0.2934756577014923,
1.3613033294677734,
-0.14184322953224182,
0.05089548975229263,
-0.26129794120788574,
0.5176665782928467,
-0.1448812186717987,
-0.9787161946296692,
0.00236116815358400... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | people | 3 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.20563113689422607,
0.05697556585073471,
-0.07976293563842773,
-0.2169417440891266,
-0.09257438778877258,
0.29122471809387207,
-0.09424366056919098,
0.15932737290859222,
0.04420243203639984,
0.020525602623820305,
-0.33788472414016724,
0.3682173490524292,
-0.4673631191253662,
-0.1373080909... |
instruction:
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should no... | PersonX had fungus on their toes but not PersonY because _ was always wearing dry socks.
| 9 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.0680700540542603,
0.15204539895057678,
-0.49784624576568604,
-0.0037717821542173624,
0.19476103782653809,
-0.8813602328300476,
1.3485679626464844,
0.7821776270866394,
-0.23726552724838257,
-0.4274117946624756,
-0.2481626570224762,
0.2393607795238495,
-0.4628649055957794,
0.12597090005874... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
P... | 2 | 8 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.6868590116500854,
0.9414224028587341,
0.24709346890449524,
-0.4232196807861328,
-0.810768723487854,
0.12163697183132172,
0.7159920334815979,
0.2624416947364807,
0.4101611077785492,
-0.27962273359298706,
-0.729682445526123,
-0.041093118488788605,
-0.48407819867134094,
0.03912258893251419... |
Teacher:In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can ... | Step1: What does the number 666 represent to Christians?, Step2: Would Christians want to be associated with #1?, Wikipedia page for step 1: Number of the beast, Wikipedia page for step 2: , not_definitive_answer: True, incorrect_answer: False | 6 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.6235529780387878,
-0.13463082909584045,
-0.5467798709869385,
0.18011857569217682,
-0.287809818983078,
-0.7350397706031799,
0.9279145002365112,
0.8316712379455566,
0.3788377642631531,
0.24774116277694702,
0.03310517594218254,
0.09205623716115952,
-0.3967849612236023,
0.0390910804271698,
... |
Q: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
my metamorphic vampire flesh could not replenish itself and the flesh of my human body , and the vampire must come first .
A: | my metamorphic vampire tissue could not restore itself or the tissue of my human body , and only my vampire remained . | 7 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.1700340211391449,
1.1297823190689087,
0.513911783695221,
0.28137171268463135,
-0.7669068574905396,
-0.5853996276855469,
0.4532870948314667,
0.4834411144256592,
0.3239191174507141,
-0.2199249267578125,
0.5243499875068665,
-0.5781198740005493,
-1.1882216930389404,
0.37945348024368286,
0... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
question:
אז מה המסר שאני מנסה להעביר לכם היום?
answer:
Qual è il messaggio che desidero vi portiate a casa oggi?
question:
מטוס הנייר הזה יוכל לייצר...
answer:
Che dire, questo aeroplanino di carta potrebbe fo... | E ciò che fanno è davvero interessante Scavano nel letame delle mucche in cerca di bachi, vermi, larve di mosca.
| 9 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-1.2972490787506104,
0.41597384214401245,
0.3892262876033783,
0.07337307929992676,
-0.16078706085681915,
-0.46780064702033997,
0.27581846714019775,
0.05668964609503746,
-0.024071212857961655,
-0.48241788148880005,
-1.1242183446884155,
0.9375902414321899,
0.29709503054618835,
0.071361519396... |
Definition: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Input: I ordered this product and the Urbani white Truffle oil and it arrived broken because they shipped it in a box with nothing inside to protect i... | Negative | 2 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.3802891969680786,
-0.16807255148887634,
0.43394383788108826,
-0.21371376514434814,
0.07271263003349304,
0.2698628902435303,
0.7348041534423828,
0.15721207857131958,
0.2982565760612488,
0.7033361196517944,
-0.07028429210186005,
-0.17686614394187927,
-0.6080883145332336,
-0.05679526180028... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | The doctor had high blood pressure . | 4 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.2092614471912384,
0.28834882378578186,
0.23749609291553497,
-0.19822090864181519,
-0.01604447327554226,
-1.1704602241516113,
0.06850884109735489,
0.25130710005760193,
-0.02215082384645939,
-0.2312784045934677,
-0.4690505266189575,
0.8128477334976196,
-0.6932966709136963,
0.1150466054677... |
TASK DEFINITION: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
PROBLEM: Bulgarian: Специална мярка за Ирак за 2007 г. (вот), English: - Motion for ... | no
| 8 | NIv2 | task273_europarl_classification | fs_opt | [
-0.9781492948532104,
0.7478415369987488,
0.16444842517375946,
0.21296918392181396,
0.03393946960568428,
-0.6867459416389465,
0.7024214267730713,
1.368083119392395,
0.7181349992752075,
0.4217265844345093,
-0.17178834974765778,
0.5914875268936157,
-0.6862276792526245,
0.26187747716903687,
... |
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... | Yes | 8 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.5166260004043579,
0.20564356446266174,
0.11556936800479889,
-0.1990637183189392,
-0.7391924858093262,
-0.8574203252792358,
1.267836332321167,
0.1014905720949173,
-0.505607008934021,
-0.336458683013916,
-0.24761782586574554,
-0.27813225984573364,
-0.39398494362831116,
0.41636836528778076,... |
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: Surprise! Nicollette Sheridan not only recently got married, but is also splitting from her new spouse already. The Desperate Ho... | Surprise: Nicollette Sheridan is divorcing a guy no one knew she married. (Well, presumably, people who know Sheridan in real life were aware of the union.) As TMZ reports, Sheridan and Aaron Phypers have filed for divorce just six months after a marriage that was never made public, though they were known to be a coupl... | 6 | NIv2 | task1291_multi_news_summarization | zs_opt | [
-0.13735626637935638,
0.026452071964740753,
-0.767702579498291,
0.3874416649341583,
0.7881258726119995,
-0.3378722369670868,
0.14384040236473083,
0.5286049246788025,
-0.06190197169780731,
0.08511553704738617,
-0.8559656143188477,
0.5892853140830994,
-0.8631228804588318,
-0.2450018227100372... |
Detailed Instructions: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Problem:53887
Solution: | Yes | 8 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.33035874366760254,
0.2967008352279663,
-0.012047672644257545,
-0.5451131463050842,
-0.2312600314617157,
-0.2110074758529663,
1.0026068687438965,
0.3913619816303253,
0.06004324555397034,
0.17396675050258636,
-0.9941877722740173,
-0.28423047065734863,
-0.4899803400039673,
-0.5268774032592... |
Part 1. Definition
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in th... | False | 7 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.5418217778205872,
0.1633548140525818,
-0.37457603216171265,
0.42089030146598816,
0.27446988224983215,
-0.9707015752792358,
0.9810038208961487,
0.6024389863014221,
-0.4515730142593384,
-0.04918088763952255,
-0.39544910192489624,
-0.08496426045894623,
0.010010115802288055,
0.00924164429306... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
[Q]: antiseptic
[A]: septic
[Q]: evergreen
[A]: deciduous
[Q]: nonintellectual
[A]: | intellectual
| 5 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
-0.34693974256515503,
1.699381947517395,
0.7427263259887695,
-0.5910954475402832,
-0.39250266551971436,
-2.37172269821167,
-0.4025838375091553,
-0.11009121686220169,
0.7845510244369507,
0.07687482982873917,
-0.21166089177131653,
0.05255168676376343,
-1.0694303512573242,
-0.0897944420576095... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
--------
Question: אז מהו המבנה ההיפרבולי הבלתי אפשרי הזה?
Answer: 双曲構造の何がそうさせるのでしょう ？
Question: ואז פיניתי את כל האבנים שבתוך הרדיוס ההוא וערמתי ערימה.
Answer: それからそれを半径とする円内の石を全部拾って積み上げました
Question: למשל, אולי יש לה ... | 例えば空きスペースとして貸し出せる居間のソファベッドや
| 7 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.23045670986175537,
0.7715010643005371,
0.1361444890499115,
0.40589582920074463,
-0.5991824865341187,
-0.35330769419670105,
0.4008203148841858,
-0.3579220175743103,
0.3095443844795227,
-0.9904741048812866,
-1.0816221237182617,
0.5206025838851929,
-0.5039154291152954,
0.561809778213501,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Problem:"" Aqui.
Solution: | ここよ | 8 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
0.3191203474998474,
0.3929330110549927,
-0.13006478548049927,
-0.6636508703231812,
-0.5008882284164429,
-0.5388164520263672,
0.03447965532541275,
0.4236791133880615,
0.9015793204307556,
-0.31749826669692993,
-0.052305154502391815,
-0.4302119016647339,
-0.29397743940353394,
0.81573724746704... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
--------
Question: Problem: the area of the largest circle that can be drawn inside a rectangle with sides 18 cm by 14 cm is
Options: ['a ) 237', 'b ) 154', 'c ) 2376', 'd ) 198', 'e... | a
| 7 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.08560402691364288,
0.20996955037117004,
-0.14765357971191406,
-0.10453681647777557,
0.08177812397480011,
-0.34611862897872925,
-0.3792119026184082,
0.38122838735580444,
0.13571374118328094,
0.41991713643074036,
-0.9061731100082397,
0.19491046667099,
0.4735342264175415,
-0.504117250442504... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: Most liberals are anal retentive.
A... | Sexual-explicit | 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.5275213718414307,
0.11244352161884308,
0.5833520889282227,
0.16887059807777405,
0.08028124272823334,
0.41252902150154114,
-0.2127516120672226,
0.3501357436180115,
0.4930054545402527,
0.4591982960700989,
0.3876084089279175,
-0.08805926144123077,
-0.1472732424736023,
-0.8400164842605591,
... |
Detailed Instructions: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations s... | What does the woman mean? (A) She does not agree with Jack. (B) Jack's performance is disappointing. (C) Most people will find basketball boring. | 8 | NIv2 | task246_dream_question_generation | zs_opt | [
0.0668606087565422,
0.583687961101532,
-0.5942941904067993,
-0.4719964861869812,
0.5007480978965759,
-0.2745610773563385,
0.890602171421051,
0.1868779957294464,
0.3849996328353882,
-0.0255944412201643,
-0.580217719078064,
0.2961084544658661,
-0.2019190639257431,
-0.042142048478126526,
0.... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classi... | (A) | 1 | NIv2 | task302_record_classification | zs_opt | [
0.43824392557144165,
0.3841019570827484,
-0.3084383010864258,
0.22189272940158844,
0.3876194953918457,
0.10004152357578278,
0.46497201919555664,
0.33442339301109314,
0.6142822504043579,
0.7514521479606628,
-0.037318065762519836,
0.3104911744594574,
-0.34818264842033386,
-0.0206148400902748... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
لذلك قمنا بشراء 100,000 كتاب و ارسلناها الى الهند
Output: | Quindi comprammo 100.000 volumi e li mandammo in India | 1 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.49422603845596313,
0.008781598880887032,
-0.17728537321090698,
-0.12449008226394653,
-0.3775024712085724,
0.4180872440338135,
0.30042564868927,
0.2130257785320282,
0.24344009160995483,
-0.27502697706222534,
-0.650582492351532,
0.06324189156293869,
-0.5461049675941467,
0.5293633937835693... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
[EX Q]: 「いやこれは高価だから
[EX A]: "" ولی این خیلی گرونه و ارزشمند.
[EX Q]: みんな取り付かれたようです
[EX A]: مردم با وسواس به این طرف و آنطرف می رفتند.
[EX Q]: ヘザーによれば彼女の父親も浮気をしていたそうです彼女の母は夫のポケットから小さなレシートを見つけシャツのカラーに付いた口紅にも気が付きました
[EX A]: | او به من گفت که پدرش نیز یک معشوقه داشته ، اما مادرش ، یک نوشته کوچک در جیب او پیدا کرده ، و جای ماتیک.
| 6 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.3270476758480072,
0.2169659584760666,
-0.4822360575199127,
-0.3560532033443451,
-0.8508588671684265,
-0.18503722548484802,
0.558463454246521,
0.5393447875976562,
0.12528088688850403,
-0.7794037461280823,
-1.1032822132110596,
0.723699688911438,
-0.32888180017471313,
0.28212979435920715,
... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | They are sick . | 0 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.31288355588912964,
0.6343841552734375,
-0.03285229578614235,
-0.6596798896789551,
-0.05589732527732849,
-0.2946186661720276,
0.5320367813110352,
1.028592586517334,
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-0.8394317030906677,
0.0502953827381134,
-0.5258974432945251,
-1.3852283954620361,
-0.3917897343635559... |
Instructions: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Input: Good quality oats. Package came on time. Oats worked well in recipes. I will admit, as a single person I bought these oats with my boyfriend ... | Positive | 3 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.3768056631088257,
-0.26109570264816284,
-0.10351518541574478,
0.07050824165344238,
0.16395489871501923,
-0.4830319285392761,
0.5673823356628418,
0.2653319537639618,
0.1056264266371727,
0.745108962059021,
-0.39385443925857544,
0.012725062668323517,
-0.44705843925476074,
-0.49143218994140... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have hi... | Si vous voulez payer en espèces, alors vous devriez éviter de gérer les investissements. | 1 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.2543557584285736,
0.6976596117019653,
0.2828018367290497,
-0.09480642527341843,
0.5073362588882446,
-0.008744335733354092,
0.19691279530525208,
0.619486391544342,
0.21850678324699402,
-0.23686206340789795,
-0.35225218534469604,
-0.6142632365226746,
0.1546640545129776,
-0.361246049404144... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: उन्होंने मानव अधिकारों, लोकतंत्र, कानून के राज और नियमों पर आधारित अंतरराष्ट्रीय प्रणाली... | മനുഷ്യാവകാശങ്ങള്, ജനാധിപത്യം, നിയമവാഴ്ച്ച, എന്നിവയില് അടിസ്ഥാനമായുള്ള സൈബര് സുരക്ഷ ഉള്പ്പെടെയുള്ള ആഗോള സുരക്ഷ, നിയമവിധേയമായ അന്താരാഷ്ട്ര സംവിധാനത്തോടുള്ള പ്രതിജ്ഞാബദ്ധത എന്നിവയും ചര്ച്ച ചെയ്യപ്പെട്ടു. | 6 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
0.2897311747074127,
0.20744559168815613,
0.19846738874912262,
-0.7520053386688232,
-0.624075174331665,
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0.5703752040863037,
0.1422736644744873,
-0.2427888810634613,
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-0.08079949021339417,
-0.02754255384206772,
-0.8030257225036621,
-0.721083402633667,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. G... | Yes | 1 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.0758578777313232,
-0.24532312154769897,
0.37015292048454285,
-0.012375757098197937,
0.17945446074008942,
-0.06715898215770721,
-0.062282923609018326,
-0.051714081317186356,
0.3280699849128723,
0.23838135600090027,
-0.20860601961612701,
-0.4860610365867615,
0.036792099475860596,
-0.82721... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Q: Iso é o que ten David, e é importante entender que ese tirafondas non é un tirapedras.
A: | این جنگ افزاری است که داوود دارد ، و مهم است بدانیم که فلاخن ، تیرکمان نیست. | 4 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.06752368807792664,
0.9009849429130554,
-0.31924015283584595,
-0.5752525329589844,
-0.6743764281272888,
-0.25128528475761414,
1.2475649118423462,
0.49709683656692505,
0.016722410917282104,
0.26695728302001953,
-0.852641224861145,
-0.04151006042957306,
-0.9806553721427917,
0.4274318218231... |
Q: This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sente... | Ajoblanco | 7 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.8127391338348389,
0.5539461374282837,
-0.21357548236846924,
-0.06858338415622711,
-0.2774803638458252,
-0.31826522946357727,
1.380832552909851,
0.3174248933792114,
0.27799341082572937,
-0.5230726003646851,
-0.6233164072036743,
-0.533045768737793,
-0.5316730737686157,
0.7376717329025269,... |
Detailed Instructions: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 r... | book IsA object | 9 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.024144377559423447,
1.1278877258300781,
0.14033696055412292,
-0.5596970319747925,
-0.4532521367073059,
-0.13152524828910828,
0.9972801208496094,
-0.38206541538238525,
0.6549133062362671,
-0.8825194239616394,
-0.6366539001464844,
0.07542338967323303,
-1.1921756267547607,
0.271425157785415... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Example input: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte... | S1 nuclease | 3 | NIv2 | task1481_gene_extraction_bc2gm_dataset | fs_opt | [
-0.8547486066818237,
0.7091269493103027,
-0.6849054098129272,
-0.3673557639122009,
0.48608267307281494,
-0.12705829739570618,
0.3137759864330292,
0.4000968635082245,
0.13566750288009644,
-0.6750112771987915,
-0.41351068019866943,
0.23156234622001648,
-1.447098731994629,
-0.1809206604957580... |
Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Input: Text: okay so this happened a few years back and when i think back to that day, i st... | i listened to my sister and literally ate a toddler's shit | 3 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
-0.11242040246725082,
0.9048786163330078,
-0.587458610534668,
-0.558396577835083,
0.3337773084640503,
-0.2954009473323822,
0.13320977985858917,
0.8608155250549316,
0.12981805205345154,
0.43080073595046997,
-0.05921924114227295,
0.29944199323654175,
-1.1015472412109375,
-0.6990100145339966,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
One example is bel... | 1, 6 | 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.16413439810276031,
-0.03204859048128128,
-0.04118282347917557,
-0.5960042476654053,
0.4033224880695343,
-0.2701934576034546,
1.0336910486221313,
0.01337076909840107,
-0.5781495571136475,
0.285330593585968,
-0.8878315687179565,
-0.1758318543434143,
-0.19144922494888306,
-0.19642029702663... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Problem:اينه كه دليلي نداره و نبايد داشته باشه.
Solution: | Non hai razón e non ten por que haber unha razón. | 8 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.4879973530769348,
1.0962944030761719,
0.5704421997070312,
-1.1840291023254395,
-0.7686961889266968,
-0.5612717866897583,
0.1249418705701828,
1.1605663299560547,
-0.19471262395381927,
-0.14651286602020264,
-0.301751971244812,
0.3122679889202118,
-0.9291567802429199,
0.27979910373687744,
... |
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 option .
Q: Statement: 8 ਨਵੰਬਰ– <MASK> ਦੀ ਰਾਜਧਾਨੀ ਸਟਾਕਹੋਮ ਵਿੱਚ ਅਜਾਇਬ ਘਰ ਵਿੱਚੋਂ ਪਾਬਲੋ ਪਿਕਾਸੋ ਦੀਆਂ ਪੇਂਟਿੰਗ ਚੋਰੀ ਹੋਈਆਂ।... | ਨੇਪਾਲੀ
****
| 4 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.8679523468017578,
0.07562857866287231,
-0.5842762589454651,
0.7071585655212402,
0.4464597702026367,
0.1675155907869339,
0.5656359791755676,
0.7412205934524536,
-0.3175092935562134,
0.5247616767883301,
-0.13237279653549194,
0.1849570870399475,
-0.6996989250183105,
-0.10159572958946228,
... |
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 Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct opt... | 1832 | 0 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.979606032371521,
0.7176887392997742,
-0.20959517359733582,
0.07539554685354233,
0.00443724449723959,
-1.0861260890960693,
0.2980945110321045,
0.723425030708313,
0.028941266238689423,
-0.06586739420890808,
-0.1712096482515335,
0.11417113989591599,
-0.7921232581138611,
-0.06917569786310196... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Input: نحن نعمل على توسيع التعقيد البشري في هذه الهوامش ، ونخلق الحرية في هذه الهوامش.
Output: | Estamos expandiendo la complejidad de los humanos en estos margenes, y estamos creando libertad en ellos. | 2 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.4325439929962158,
0.48574376106262207,
0.14358705282211304,
-0.2774937152862549,
-0.04416618123650551,
-0.1535843461751938,
0.7636175155639648,
0.8080408573150635,
0.8145447373390198,
-0.3369887173175812,
-1.0177240371704102,
-0.45821183919906616,
0.15987984836101532,
0.1061301529407501... |
instruction:
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) =... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF',... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3950479030609131,
0.08614848554134369,
-0.1526402235031128,
-0.4326956868171692,
0.434850811958313,
-0.5060092210769653,
0.9638902544975281,
1.0663859844207764,
-0.25378626585006714,
0.11957500129938126,
0.2314806431531906,
-0.45204153656959534,
-0.46583330631256104,
0.25787606835365295,... |
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... | No | 0 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.2537883520126343,
0.25876712799072266,
0.33247125148773193,
-0.08322899043560028,
-0.41919055581092834,
-0.4264473617076874,
0.783500611782074,
0.6765392422676086,
-0.5324826240539551,
-0.2570470869541168,
-0.2905636727809906,
-0.7592223286628723,
-0.5511404275894165,
0.0366024449467659,... |
Detailed Instructions: In this task, given a sentence in the Central Khmer language, your task is to convert it into the English language.
See one example below:
Problem: អំពីការលុបចោល លោកហ្គារី បេតមេន បានិយាយថា "ភាពអាម៉ាសនៃរឿងនេះគឺថា អ្នកគាំទ្រមានភាពប្រសើរជាង។"
Solution: Speaking about the cancellation, Gary Bettma... | Before the debate on the bill, two ministers who are against raising the age, justice minister Mark Burton and associate health minister, Damien O'Conner both announced that they would fully review the sale/supply of liquor to people below the age of 18, regardless of whether the bill were passed or not. | 4 | NIv2 | task541_alt_translation_kh_en | fs_opt | [
0.27269214391708374,
-0.36753004789352417,
-0.21881848573684692,
-0.8276464939117432,
0.21502915024757385,
-0.4527055621147156,
0.18752506375312805,
0.5242912173271179,
0.2157590240240097,
0.6710203289985657,
-0.1315954327583313,
0.3812862038612366,
-1.1377002000808716,
0.34093809127807617... |
The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Example Input: What is the term for a task that generally lends itself to being solved... | Com s’anomenen les escoles de secundària privades d’alemanya?
| 3 | NIv2 | task1677_xquad-ca_translation | fs_opt | [
-0.10555236041545868,
0.8922319412231445,
-0.004857543855905533,
-0.23937568068504333,
-0.010222058743238449,
-0.3778102993965149,
0.731791615486145,
0.17275917530059814,
-0.005435725208371878,
0.003747315611690283,
-0.20277267694473267,
0.21062953770160675,
-0.12576879560947418,
0.2290438... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Q: Agora pensade no que vos dixen.
A: | Pomyślcie o tym, co powiedziałem. | 4 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.6177171468734741,
1.1392813920974731,
0.11089684069156647,
-0.01785232685506344,
-0.23477056622505188,
-1.3539257049560547,
0.8903037309646606,
-0.39191216230392456,
0.20906749367713928,
-0.263520747423172,
-0.04318235069513321,
0.2907182574272156,
-0.6748694181442261,
0.254822760820388... |
Teacher:Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a s... | RANDOM | 6 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.5245801210403442,
0.3019457459449768,
0.002394585171714425,
-0.26339253783226013,
-1.0227184295654297,
0.06734822690486908,
0.522137463092804,
0.241037055850029,
0.44074296951293945,
-0.778870165348053,
-1.151157021522522,
-0.13044920563697815,
-0.15368610620498657,
0.18398673832416534,... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Ein Finger wird für das Gefühl Zustand der Darmorgane verwendet. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.39572444558143616,
0.9203941822052002,
-0.4448801875114441,
-0.13449710607528687,
-0.0004740038712043315,
-0.33250072598457336,
0.935024619102478,
0.6483771800994873,
0.024965668097138405,
-0.28938353061676025,
-0.14800715446472168,
0.8143671751022339,
-0.6978342533111572,
0.12171645462... |
Given the task definition, example input & output, solve the new input case.
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. ... | Offensive | 1 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.45713502168655396,
0.38275110721588135,
0.5446727871894836,
0.32149600982666016,
-0.1043739765882492,
-0.508620023727417,
0.052955999970436096,
0.6214972734451294,
0.4171188473701477,
0.511114776134491,
-0.37644824385643005,
-0.153009831905365,
-0.41027653217315674,
-1.1376006603240967,... |
TASK DEFINITION: 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).
PROBLEM: Y con respecto a los acontecimientos de estos días quisiera decir-y lo digo en el día... | The report seeks "effective and ambitious fiscal coordination" , without going on to define more specifically what this means.
| 8 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.31262505054473877,
0.5692129135131836,
0.11177744716405869,
-0.09266791492700577,
-0.40179353952407837,
0.017230026423931122,
0.9947774410247803,
1.017228126525879,
-0.10199439525604248,
0.020509179681539536,
-0.23489990830421448,
0.3181402087211609,
-0.5465996861457825,
0.33642017841339... |
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