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: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Kristin told us all about the recent heartbreaking events.
A: | female | 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.6511062383651733,
0.557604193687439,
-0.5021558403968811,
-0.8491110801696777,
-0.14610490202903748,
-0.36116713285446167,
0.24176025390625,
0.10475153475999832,
0.7919160723686218,
0.6227956414222717,
-0.3483283519744873,
0.11517654359340668,
-0.26287806034088135,
0.7291073203086853,
... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tag... | DT | 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5817345380783081,
0.6671121716499329,
-0.757145881652832,
0.9085147380828857,
-0.1178075522184372,
-0.9049942493438721,
0.6545727252960205,
0.8664055466651917,
-0.5925371050834656,
0.05327396094799042,
-0.5973837375640869,
0.7673457264900208,
-0.22880947589874268,
0.07556954771280289,
... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: Professor Clark said that the mid-term exam would ... | Five lessons. | 0 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.13385650515556335,
0.6329860687255859,
0.21388360857963562,
-0.93630051612854,
-0.22168542444705963,
-0.14603328704833984,
0.29644790291786194,
0.1155306026339531,
0.3615640699863434,
-0.581432580947876,
-0.7508869767189026,
-0.5961722135543823,
0.04576285928487778,
-0.9385350346565247,
... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | Solution: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK | 5 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.20908644795417786,
0.5292389988899231,
-0.3654370903968811,
-0.24892139434814453,
0.07894988358020782,
-0.00895279087126255,
0.4660365879535675,
0.05011848732829094,
-0.15522199869155884,
-0.44840681552886963,
-0.823142945766449,
-0.35879361629486084,
-0.7763587236404419,
-0.144830062985... |
Part 1. Definition
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Part 2. Example
Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m ... | c | 7 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.307331383228302,
-0.34430715441703796,
-0.2677658498287201,
0.34553560614585876,
-0.14249013364315033,
0.3481955826282501,
0.15900588035583496,
0.4948006272315979,
0.10012885183095932,
-0.27837422490119934,
-0.758938193321228,
0.007009154185652733,
0.25963956117630005,
-0.098101750016212... |
Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal for... | Òkò kan igi; òkò padà sẹ́yìn kí o rebi o ti wá. | 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
0.2372646927833557,
0.5864337682723999,
-0.09113050997257233,
-0.17487776279449463,
0.1858028918504715,
-0.4298028349876404,
0.4305824339389801,
0.38464415073394775,
-0.212861567735672,
-0.2524540424346924,
0.22940969467163086,
0.37280726432800293,
-0.7975105047225952,
0.3076470196247101,
... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
... | select the row whose upper index kcal nm 3 record of all rows is maximum . the fuel gas record of this row is n butane . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.3216688632965088,
-0.07872448861598969,
-0.24755150079727173,
0.022902628406882286,
-0.014931694604456425,
-0.6491574048995972,
0.47367626428604126,
0.6396616697311401,
-0.061236485838890076,
-0.05810336768627167,
-0.4886939525604248,
-0.20671865344047546,
-0.08666455000638962,
0.5207213... |
Given the task definition and input, reply with output. 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. ... | walk opposite left thrice and turn opposite left thrice | 5 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.14608655869960785,
0.7493267059326172,
-0.437655508518219,
0.2137494832277298,
-0.05452501401305199,
0.25894802808761597,
0.19563792645931244,
0.4743049144744873,
-0.2922026515007019,
-0.11628834903240204,
-0.7297267913818359,
-0.34298524260520935,
-0.5823848247528076,
0.0326932519674301... |
Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Input: Sentence: 'a man is skateboarding on a cement skate board ramp'. Count the number of consonants in the given sentence.
Output: | 25 | 3 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.7680790424346924,
1.0814740657806396,
-0.9971756935119629,
-0.9363048076629639,
0.2623581290245056,
-0.21176202595233917,
-0.34556126594543457,
0.6557778120040894,
-0.2387515902519226,
-0.2665421962738037,
-0.49021613597869873,
0.16540294885635376,
-0.2827576994895935,
-0.947048962116241... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True | 9 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.061744656413793564,
0.5735880136489868,
-0.21088807284832,
0.15337404608726501,
0.12059149146080017,
-0.7759904861450195,
0.8988744020462036,
0.8188289403915405,
-0.298028826713562,
0.4012223184108734,
-0.18851514160633087,
0.18337436020374298,
-0.771525502204895,
-0.09542155265808105,
... |
In this task, you are given a movie review in Persian, and you have to extract aspects of the movie mentioned in the text. We define aspects as music(موسیقی), directing(کارگردانی), screenplay/story(داستان), acting/performance(بازی), cinematography(فیلمبرداری), and scene(صحنه). Although there might be multiple aspects i... | بازی | 4 | NIv2 | task528_parsinlu_movie_aspect_detection | zs_opt | [
-0.30973953008651733,
1.280799150466919,
-0.39780664443969727,
-0.007105994038283825,
-0.4233115613460541,
0.5248579978942871,
0.8316755294799805,
0.4134012460708618,
0.4211481213569641,
0.18910491466522217,
0.28754928708076477,
-0.10149386525154114,
-0.28440842032432556,
0.448942422866821... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
question:
أرى بعض الناس يومئون هنا.
answer:
頷いていますね
question:
وبالعكس ، لكل صنف أو كيان آخر أو ظاهرة ، توجد مشاكل مهمة للحل الذي يطابق مجالات البحث تلك تماما.
answer:
逆に述べるとあらゆる種ものあるいは事象には逆に述べるとあらゆる種ものあるいは事象には... | もちろんこれは安全な決断でしただって「データから明らかだ」と言えば済むんですから
| 9 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.12275274097919464,
-0.3172925114631653,
-0.38791757822036743,
-0.1310494989156723,
-0.4786481559276581,
-0.15889251232147217,
0.8057593107223511,
-0.40222227573394775,
0.10067726671695709,
-0.3837815523147583,
-0.9205982685089111,
-0.13945525884628296,
-0.2679663896560669,
0.975968599319... |
Definition: 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... | OFFENSIVE | 2 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.0083413124084473,
0.4131988286972046,
0.3938741087913513,
0.8955944776535034,
-0.21030953526496887,
-0.7048358917236328,
0.6625665426254272,
0.374830037355423,
0.8916590213775635,
0.31001630425453186,
0.07853877544403076,
-0.09090370684862137,
-0.4997181296348572,
-0.42117640376091003,
... |
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: there is a taste of sugar substitute, the aftertaste turns me off, I've even tried using a little bit of milk in the mug before hand to hide ... | Negative | 3 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.8058506846427917,
0.08047717064619064,
0.7226879000663757,
-0.23078157007694244,
0.5002256631851196,
-0.3465384840965271,
0.5245739221572876,
0.2401515245437622,
-0.0696754977107048,
0.017894765362143517,
0.12944193184375763,
-0.4306502640247345,
-0.5385346412658691,
-0.3620725870132446... |
Definition: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the pl... | You are looking for a coffee shop in Girton. You don't care about the price range. Make sure you get the address, phone number, and price of the venue. | 2 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.2759636640548706,
0.3737504482269287,
-0.24915792047977448,
-0.22790484130382538,
-0.029944416135549545,
-0.8535146117210388,
0.42467156052589417,
0.6038118004798889,
0.03952588886022568,
0.37235307693481445,
0.2165910005569458,
-0.09389986097812653,
-0.19345828890800476,
-0.365496098995... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Input: Chegou á nosa reserva dende outra reserva ó este da nosa, na súa ruta migratoria.
Output: | Ela chegou à nossa Reserva vinda de uma outra Reserva a leste, na sua rota migratória. | 3 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
0.1098732203245163,
0.9502796530723572,
-0.125069260597229,
-0.628798246383667,
-1.0012433528900146,
-1.372147560119629,
-0.9610607624053955,
1.3255736827850342,
0.1256139874458313,
0.12870313227176666,
-0.32761260867118835,
-0.2848236560821533,
-1.1642087697982788,
-0.3490365147590637,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Let me give you an example: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
The answer to this example can be: Cando chegas a estas sociedades ... | Dedíquenlle o seu tempo a acompañar ao público á saída, a despedirse dos actores. | 8 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.9745997190475464,
1.1999462842941284,
-0.34361299872398376,
-0.06161236763000488,
-0.43038231134414673,
-0.039942529052495956,
0.3841272294521332,
0.7508752346038818,
-0.010558034293353558,
0.16139082610607147,
-1.477186918258667,
0.5609815120697021,
-0.6994847059249878,
-0.175875812768... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: אלו ילדים שנושרים מבתי ספר ציבוריים.
Output: | Y estos son jóvenes quienes están reprobando en la escuela pública. | 2 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.7221353054046631,
0.4111156463623047,
0.3313491940498352,
-0.41102683544158936,
-0.12583786249160767,
0.7343060970306396,
0.3953009843826294,
0.5461403131484985,
1.0858477354049683,
-0.4146139323711395,
-0.3832102119922638,
0.38192009925842285,
-0.11662034690380096,
0.002600852865725755... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
地球が今よりも無垢だった時代を訪れたかのようでした
Solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Reason: The Japanese sentence is co... | كما أن هناك.. إذا أجريت بحثاً عن هذا ، ستجد أوصافاً مخيفة لأناسٍ علِقت شعورهم وملابسهم بهذه الأجهزة. | 2 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.06820998340845108,
0.7122877836227417,
-0.6925458312034607,
-0.7675105929374695,
-0.6811652779579163,
-0.6141218543052673,
0.48650699853897095,
0.1761116236448288,
-0.49335336685180664,
0.4674590826034546,
-0.6217923164367676,
-0.017922203987836838,
-0.3810705244541168,
0.04889840260148... |
Detailed Instructions: 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 info... | How many years after the Schengen Treaty being signed did the 2017 Dutch–Turkish diplomatic incident occur? | 4 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.5835509896278381,
0.2742304801940918,
-0.5406319499015808,
-0.11337858438491821,
0.5748491287231445,
-0.04925278201699257,
0.7329676151275635,
0.7057578563690186,
0.2400679737329483,
0.5134733319282532,
-0.25922808051109314,
0.34955352544784546,
-0.22379380464553833,
0.5726133584976196,
... |
Part 1. Definition
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Part 2. Example
Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation... | Aged | 7 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | fs_opt | [
0.5806401371955872,
0.5724488496780396,
-0.3315209448337555,
0.10654279589653015,
0.325420081615448,
0.06267961859703064,
0.7702019810676575,
0.6761161088943481,
0.43605732917785645,
0.5161724090576172,
-0.49186939001083374,
0.21465948224067688,
-0.3365350663661957,
0.21151041984558105,
... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Example: [-83, 53, -48, 8]
Example solution: [-80, 50, -50, 10]
Example explanation: The output correctly rounds each integer in the input lis... | Solution: [-20, -690, 410, -520, 280, 440, -770, -780, -250, -390, -560, 20, -400] | 5 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.39244362711906433,
0.3803916573524475,
-0.4308086037635803,
-0.056112196296453476,
-0.15717364847660065,
-0.2551262676715851,
1.1366231441497803,
-0.04363013058900833,
-0.25852590799331665,
0.3278372287750244,
-0.7591223120689392,
-0.1554051786661148,
-0.5234776735305786,
0.229911148548... |
Definition: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stere... | Stereotype | 2 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.1473345160484314,
0.1129830926656723,
0.04856429994106293,
-0.31581929326057434,
-0.01764831878244877,
0.6138014197349548,
0.5502676367759705,
0.22866347432136536,
0.28161680698394775,
-0.42890799045562744,
-1.1356523036956787,
-0.009219826199114323,
-0.5615295767784119,
-0.201260656118... |
Detailed Instructions: You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in the sentence are changed in tense.... | Gender | 8 | NIv2 | task276_enhanced_wsc_classification | zs_opt | [
-0.13355009257793427,
0.391735315322876,
0.09446515142917633,
-0.18349790573120117,
-0.03368309140205383,
-1.2735192775726318,
0.7817322015762329,
0.5472570657730103,
0.29725146293640137,
-0.2537901699542999,
-0.07076555490493774,
-0.2555985450744629,
-0.7689809799194336,
-0.34840908646583... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 0 | 6 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.20665818452835083,
0.6864050626754761,
-0.481937050819397,
-1.1253570318222046,
-0.23714329302310944,
0.26409801840782166,
0.10030167549848557,
0.19055750966072083,
-0.12941542267799377,
-0.2975514531135559,
-0.8914104700088501,
0.18437185883522034,
0.1991100013256073,
-0.27720376849174... |
Given the task definition, example input & output, solve the new input case.
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Example: Earth rotates on its axis once times in one day.
Output: How many times does Earth rotate on its axis in one day?
The gi... | What is the name for a series of changes in the reproductive system of mature females that repeats every month on average? | 1 | NIv2 | task1552_scitail_question_generation | fs_opt | [
-0.559467613697052,
0.6141591668128967,
-0.8539204597473145,
0.3360368609428406,
-0.16153697669506073,
-0.8260785341262817,
-0.3149678111076355,
0.30518394708633423,
-0.3138119578361511,
-0.0665484145283699,
-0.865027666091919,
-0.28296536207199097,
-0.3897872269153595,
-0.3190425634384155... |
Given the task definition and input, reply with output. In this task, you need to reverse the order of words in the given sentence.
Sentence: young indian man using a laptop in a cafe
| cafe a in laptop a using man indian young | 5 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.3557581305503845,
0.9191991686820984,
-0.21717511117458344,
-0.04694453254342079,
-0.35994893312454224,
0.6081130504608154,
0.29295849800109863,
0.14474041759967804,
0.4179815649986267,
-0.09578251838684082,
-0.43583911657333374,
-0.0345272496342659,
-0.31630223989486694,
-0.140018671751... |
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
One example is below.
Q: sentence1:region is nation in location
sentence2:region is country in location
A: ye... | no | 9 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.47314172983169556,
0.5924352407455444,
0.5990324020385742,
-0.5477195978164673,
0.025783807039260864,
-0.1628572642803192,
0.5849313735961914,
0.8394610285758972,
-0.07959979772567749,
-0.12254992127418518,
-0.8078992366790771,
-0.4968242943286896,
-0.5074962377548218,
-0.33640316128730... |
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 have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
1 3/4 cups all purpose flour, 1/4 c... | seedless red grapes, olive oil, onion, garlic, balsamic vinegar, soy sauce, brown sugar, rosemary, Chicken, olive oil, chicken, chicken, fresh rosemary, freshly ground black pepper, salt, Cooking spray, rosemary | 0 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.061237238347530365,
-0.16361895203590393,
-0.3243693709373474,
0.4900383949279785,
0.01758863776922226,
-0.6614357233047485,
0.8810958862304688,
1.3869431018829346,
-0.47096240520477295,
-0.054107293486595154,
0.13685151934623718,
-0.058301206678152084,
-0.33793359994888306,
0.191763877... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Es probable que encuentres una serpiente posiblemente en el suelo.
| 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.38580381870269775,
0.9614951610565186,
0.2529841363430023,
-0.4209679365158081,
0.05982515215873718,
-0.37891852855682373,
0.12332913279533386,
1.4555250406265259,
-0.3658912777900696,
-0.3627694845199585,
-0.50845867395401,
0.33066943287849426,
-0.7837996482849121,
0.4453372359275818,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation... | True | 0 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.004562485963106155,
0.8575830459594727,
-0.47434914112091064,
0.2898951768875122,
-0.2715533971786499,
-0.6194266080856323,
0.2563335597515106,
0.45353472232818604,
-0.2612091898918152,
-0.14559991657733917,
-0.12737569212913513,
-0.31885063648223877,
-0.00020381971262395382,
0.18892377... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 42513
| 7 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.1504293978214264,
0.06151854991912842,
-0.659760057926178,
-0.13393950462341309,
-0.055147334933280945,
-0.8052958250045776,
0.5192795395851135,
0.7448710203170776,
-0.49680936336517334,
0.16411557793617249,
-0.38939014077186584,
-0.39537951350212097,
-0.7536510825157166,
0.2793132960796... |
Detailed Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Historisch gut recherchiert, aber... . ...als Roman sehr langweil... | NEG | 9 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.09247341752052307,
-0.1845022737979889,
0.1552615761756897,
-0.32008489966392517,
0.836708664894104,
-0.664440393447876,
1.593677043914795,
1.3235318660736084,
-0.11599256098270416,
0.14715254306793213,
-0.5582204461097717,
-0.3338571786880493,
-0.41056421399116516,
0.10596071928739548,... |
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for ... | show me restaurants with more than 4 posted reviews .
| 7 | NIv2 | task263_spl_translation_pl_en | fs_opt | [
-0.432094931602478,
0.8203707933425903,
0.35347095131874084,
0.1425330638885498,
0.022482195869088173,
-0.3689402639865875,
0.7449043989181519,
0.124052032828331,
-0.34230199456214905,
-0.28308770060539246,
0.6987290382385254,
0.4060126841068268,
-0.45663022994995117,
0.6675612926483154,
... |
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 multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
نسبت .... به باران ... | B | 0 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
-0.2983351945877075,
0.5241772532463074,
-0.2621437609195709,
0.027400124818086624,
-0.43311503529548645,
0.4268060326576233,
1.2448409795761108,
0.285343199968338,
0.36495232582092285,
-0.06085284426808357,
-0.3483974039554596,
-0.15669959783554077,
0.16576699912548065,
0.4541439712047577... |
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 | [
-0.5884214639663696,
0.7193284034729004,
0.12094950675964355,
-0.5828443765640259,
-0.9863104820251465,
0.07260137796401978,
0.4007640480995178,
1.0327930450439453,
0.1818883717060089,
-0.29838475584983826,
-0.8446693420410156,
-0.12608173489570618,
-0.07818193733692169,
-0.173818618059158... |
You will be given a definition of a task first, then some input of the task.
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains a... | 16 | 1 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.4279540777206421,
1.1154389381408691,
-0.09568431973457336,
-0.7135146856307983,
0.019978322088718414,
-0.33059704303741455,
1.2424540519714355,
-0.08509644120931625,
0.3831745386123657,
-0.6883554458618164,
0.1385609209537506,
-0.09632037580013275,
-0.8276574611663818,
-0.42524257302284... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: To explore the impact of titanium implant on the growth and development of pediatric mandible after suffering from mandibular fracture and... | The titanium plants have no significant impact on the growth and development of pediatric mandible postoperatively; hence, the question on whether the titanium plates should be removed or not may be neglected. The removal operation may lead to secondary trauma; thus, performing titanium plate removal routinely is not r... | 0 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.40920016169548035,
0.3029283285140991,
-0.26344865560531616,
-0.10180789232254028,
0.039205748587846756,
-0.16063106060028076,
0.5121651887893677,
0.8228191137313843,
0.528318464756012,
0.39110177755355835,
0.08842025697231293,
-0.3471393585205078,
-0.7404968738555908,
0.2298868298530578... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
[EX Q]: Rattlesnakes breed only every ____ to three years.
[EX A]: two
[EX Q]: Most children start primary school at ____ years of age.
[EX A]: five
... | no
| 6 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.6490005850791931,
0.7193604707717896,
-0.0972345769405365,
-0.4994361400604248,
-0.10092848539352417,
-0.464729368686676,
0.5409716963768005,
0.4778834581375122,
-0.38865411281585693,
-0.010422885417938232,
0.16530603170394897,
0.3597148656845093,
-0.9434561729431152,
-0.266569197177886... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
In verità per vivere, mi occupo di filosofia dell'arte, estetica.
Practico la filosofía del arte, de la estética, de hecho, para ganarme la vida.
non ha avuto l'impatto che queste altre aziende hanno avuto.
No ha tenido e... | Imprimimos nuestros propios canales 3D para controlar el flujo de estos cultivos bacterianos líquidos.
| 0 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-1.4394537210464478,
0.30781275033950806,
0.14373862743377686,
-0.621610701084137,
-0.6657719612121582,
-0.6210538148880005,
-0.5346226692199707,
1.1793560981750488,
0.12146329134702682,
-0.5352622270584106,
0.0932251438498497,
0.7472161650657654,
0.064255490899086,
-0.2675820589065552,
... |
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, 2, 3, 6, 8, 9, 11, 12, 13, 18, 19, 23, 24, 25, 27, 31, 32 | 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.07047511637210846,
0.18286269903182983,
-0.3843596577644348,
-0.39672204852104187,
0.12307596206665039,
-0.3643689751625061,
0.7684681415557861,
0.27180272340774536,
-0.7469388246536255,
0.33210915327072144,
-0.7173165082931519,
-0.2863892912864685,
-0.07492386549711227,
0.0439987555146... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | no where can i buy volvo parts online | 4 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
0.017596615478396416,
0.13440752029418945,
-0.21244633197784424,
0.276478111743927,
-0.2666708827018738,
0.1379643678665161,
0.9222497344017029,
0.5721807479858398,
0.823782742023468,
0.07958265393972397,
0.01314595714211464,
-0.5658566951751709,
-0.1426207274198532,
0.6428796648979187,
... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | They exceeded my expectations . | 8 | NIv2 | task595_mocha_answer_generation | fs_opt | [
-0.5669158697128296,
0.09921853244304657,
0.3219972252845764,
0.07680164277553558,
0.0718393474817276,
-1.192131519317627,
0.22365829348564148,
0.25779953598976135,
-0.07938188314437866,
0.13527409732341766,
-0.48207980394363403,
-0.03558230400085449,
-0.6517871618270874,
0.077195398509502... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 最初の襲撃の報告から数日後、イスラエル当局はパレスチナ与党ハマスに誘拐され日曜に後頭部を撃たれた18歳のエリヤフ・イツハーク・アシェリの遺体が発見されたと語っ... | ជាច្រើនថ្ងៃបន្ទាប់ពីរបាយការណ៍ឆ្មក់ដំបូងពីមន្ត្រីអ៊ីស្រាអ៊ែល បានរាយការណ័ថា ពួកគេបានរកឃើញសាកសពឈ្មោះ Eliyahu Yitzhak Asheriអាយុ18ឆ្នាំ ដែលត្រូវបានគេចាប់ជំរិតដោយក្រុមកាន់អំណាច ហាម៉ាស់ របស់ប៉ាលេស្ទីន ហើយក្មេងនេះត្រូវបានបាញ់ចំពីក្រោយក្បាលកាលពីថ្ងៃអាទិត្យ។ | 6 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
0.5858092308044434,
-0.24982932209968567,
0.05805714800953865,
-0.5118077397346497,
-0.41308432817459106,
-0.9182360768318176,
1.294384479522705,
0.07483156025409698,
-0.04576469957828522,
0.23563504219055176,
-0.8561803102493286,
0.550064742565155,
-1.3166273832321167,
0.6036356091499329,... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: a person can swim in still water at 12 km / h . if the speed of water 10 km / h , how many hours will the man take to swim back against the current for 8 km ?
Options:... | a | 4 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.254508376121521,
0.37563249468803406,
-0.2197011411190033,
-0.7130168676376343,
-0.332142174243927,
-0.47941213846206665,
-0.2450382113456726,
0.12494255602359772,
-0.5958290696144104,
-0.15507066249847412,
-0.7774592638015747,
0.1263664960861206,
-0.11972825229167938,
-0.486775040626525... |
Teacher: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifi... | Identifiable | 2 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.8530489802360535,
0.7466601133346558,
-0.34044790267944336,
-0.79264235496521,
0.0006330929463729262,
-0.449099063873291,
-0.10585931688547134,
0.9915105104446411,
0.8813819289207458,
0.07995036244392395,
-0.7100715041160583,
0.22754745185375214,
-0.17417530715465546,
-0.604157328605651... |
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).
--------
Question: (SV) Obviamente mi idea es que el mainstreaming debe estar presente en todo lo que hacemos.
... | It is essential for these regions to be able to benefit fully from INTERREG III, just like all the other regions in the Union, especially now that the REGIS programme dedicated to such isolated regions has been dropped.
| 7 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
-0.04116487875580788,
0.7011175155639648,
0.28025487065315247,
-0.7903900742530823,
-0.040947988629341125,
-0.7192732691764832,
0.939150869846344,
0.5914450883865356,
0.037284206598997116,
-0.21379974484443665,
-0.12341263890266418,
0.19437310099601746,
-0.8569880723953247,
-0.282152980566... |
Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in or... | 21 | 7 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6174284815788269,
0.4297490119934082,
0.20849576592445374,
-0.9035049676895142,
-0.028990384191274643,
0.11530358344316483,
0.5205682516098022,
0.3412676155567169,
-0.029263053089380264,
-0.25189584493637085,
-0.8062593340873718,
0.1151297390460968,
-1.0843117237091064,
-0.1964370310306... |
You will be given a definition of a task first, then some input of the task.
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
عورتوں کے خلاف صنفی امتیاز ختم کرنے کے لئے عورتوں اور بچوں کی ترقی کی وزارت کاآن ل... | பெண்களுக்கு எதிரான பாலின பாகுபாட்டை களையும் புதிய முயற்சியாக, ‘நான்தான் அந்தப் பெண்’ எனப்படும் (IamThatWoman) இணையவழி முழக்கத்தை மகளிர் மற்றும் குழந்தைகள் மேம்பாட்டு அமைச்சகம் தொடங்கியுள்ளது | 1 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
-0.8236159086227417,
0.7624781727790833,
-0.41623401641845703,
-0.5686267018318176,
-0.6313216686248779,
-0.0886065661907196,
0.6211032867431641,
0.572076678276062,
0.4485405683517456,
0.1313936412334442,
0.004610784351825714,
0.44210898876190186,
-0.620046854019165,
0.114718496799469,
-... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Ex Input:
Event:PersonX eats ___ anymore. Intent: 1) the mess to be cleaned up
Ex Output:
Positive
Ex Input:
Event:PersonX continues PersonX's stu... | Unknown
| 1 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.8672990202903748,
-0.10725358128547668,
0.21487651765346527,
-0.41879087686538696,
-0.4618414044380188,
-0.6668190956115723,
0.8287720680236816,
0.4787275195121765,
-0.00300616561435163,
-0.02788594365119934,
0.19634371995925903,
-0.11120115220546722,
-0.5687984824180603,
-0.21424829959... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Output: Penso che abbastan... | Ci sono troppe persone che pensano che la medicina altamente tecnologica andrà a trattenerli, risparmiarli, dagli eccessi alimentari, dal mangiare molti cibi fast food dal non fare alcun esercizio. | 1 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.6075281500816345,
0.7234625220298767,
-0.30874332785606384,
-0.2960166335105896,
-0.41019684076309204,
-0.12164212763309479,
0.5484649538993835,
1.1883972883224487,
0.12210090458393097,
-0.175065279006958,
-0.5624632835388184,
0.417743980884552,
-0.4524482190608978,
0.3423028290271759,
... |
Part 1. Definition
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 th... | NOUN | 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5918545722961426,
0.223170667886734,
-0.32648587226867676,
0.32580703496932983,
0.04338839650154114,
-0.3767181932926178,
0.7587506771087646,
0.6792178153991699,
-0.3980659246444702,
-0.10035525262355804,
-0.4730759561061859,
0.37473297119140625,
-0.569780707359314,
0.310165137052536,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution: And it was primarily because Kiribati realized that this w... | They don't really do well together. | 0 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.6014809608459473,
0.435386061668396,
0.17211399972438812,
-0.24383188784122467,
-0.25478529930114746,
-0.3017106354236603,
1.1502012014389038,
-0.48472359776496887,
0.5407626628875732,
-0.2809457778930664,
-0.24141278862953186,
-0.1961309313774109,
-0.7365080118179321,
0.5062075257301331... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Solution: Non-obscene | 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6509801149368286,
0.05521627515554428,
0.8347448706626892,
0.3117363452911377,
0.4115028381347656,
-0.41878214478492737,
-0.10805106163024902,
0.7377670407295227,
0.09043200314044952,
0.5909679532051086,
0.017459120601415634,
-0.13164249062538147,
-0.02769160270690918,
-1.24373674392700... |
Detailed Instructions: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
See one example below:
Problem: sentence1:region is nation in location
sentence2:regio... | yes | 4 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.1402101218700409,
0.48791706562042236,
0.42748573422431946,
-0.4282803535461426,
-0.2632157504558563,
-0.3802117705345154,
0.7041287422180176,
0.43113332986831665,
-0.05431921407580376,
-0.18947091698646545,
-0.6937904357910156,
-0.32354462146759033,
-0.420793354511261,
-0.1867158114910... |
In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there might be multip... | طعم | 4 | NIv2 | task529_parsinlu_food_aspect_detection | zs_opt | [
-0.3213173747062683,
0.5160212516784668,
0.4890598952770233,
0.07601708173751831,
-0.28378286957740784,
0.5338654518127441,
0.5862550735473633,
0.5619484782218933,
-0.21327197551727295,
-0.06451792269945145,
-0.29051074385643005,
0.40732091665267944,
-0.7114050388336182,
0.8432722091674805... |
Detailed Instructions: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
See one example below:
Problem: CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon... | el Estadio Francisco Sánchez Rumoroso de la cuidad de Coquimbo | 4 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.20401747524738312,
-0.10908254981040955,
-0.6420987844467163,
-0.10391177237033844,
0.2702080011367798,
-0.4207468032836914,
0.715832531452179,
0.8145783543586731,
-0.4536615014076233,
-0.2709733843803406,
-0.11052808910608292,
0.8218013048171997,
-0.655822217464447,
0.34321048855781555,... |
Q: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creati... | Quentin loved making moving pictures. | 7 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.3473603129386902,
1.0117979049682617,
0.1457342505455017,
-0.3663558065891266,
-0.18997922539710999,
0.12505841255187988,
0.6019158959388733,
0.38767874240875244,
-0.22586838901042938,
-0.17865195870399475,
-0.23277238011360168,
0.40589675307273865,
-0.594828724861145,
-0.04947277903556... |
TASK DEFINITION: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building bloc... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK
| 8 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.4222221374511719,
0.3484356105327606,
-0.414017915725708,
0.29765307903289795,
-0.08180201053619385,
0.38193702697753906,
0.38071155548095703,
0.5741978883743286,
-0.28138184547424316,
-0.09255532920360565,
-0.7693338394165039,
0.106013223528862,
-0.5175131559371948,
0.06496377289295197,... |
Given the task definition and input, reply with output. This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning ... | How long were each of Michael Vick's TD passes? | 5 | NIv2 | task026_drop_question_generation | zs_opt | [
0.5848209857940674,
0.33883965015411377,
-0.7166541814804077,
0.6174936890602112,
-0.2938273847103119,
0.03407522663474083,
0.2415471225976944,
0.5493930578231812,
0.30035606026649475,
-0.1343761831521988,
-0.7061483860015869,
0.5823924541473389,
-0.9432810544967651,
0.49038296937942505,
... |
Given the task definition and input, reply with output. 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.
you ca n't say that civilization do n't advance , however , for in every war they kill ... | you ca n't deny that civilization is going forward , you will be killed in a new way in every new war | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.8336703777313232,
0.9938302040100098,
0.40535521507263184,
-0.1386142522096634,
-0.2856162190437317,
-0.5466063618659973,
0.5363256931304932,
0.29541802406311035,
-0.017817817628383636,
-0.6391209959983826,
-0.24922320246696472,
-0.4823830723762512,
-0.12291219085454941,
0.1624180972576... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: アポロに費やされた１ドル毎に対して14ドルが米国経済に還元されたとの結果が出ました
A: | And it showed that for every $1 spent on Apollo, 14 came back into the U.S. economy. | 4 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.6350877285003662,
-0.14119446277618408,
0.013086318969726562,
0.22571012377738953,
-0.8265334367752075,
-0.6269410252571106,
0.08891187608242035,
0.22505876421928406,
0.3007056415081024,
-1.065946340560913,
0.43448367714881897,
0.14753782749176025,
0.19016709923744202,
-0.455813020467758... |
You will be given a definition of a task first, then some input of the task.
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
While I have not purchased this from Amazon I have... | False | 1 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.06256271153688431,
-0.13101696968078613,
0.727872371673584,
-0.15890909731388092,
0.07668104022741318,
0.3178347945213318,
1.2547118663787842,
0.09936916828155518,
-0.0942736268043518,
-0.11213842034339905,
-0.0018644641386345029,
-0.36710405349731445,
-0.7686970233917236,
0.04301063716... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Ex Input:
['p', 'Z', 'Z', 5929, 7441, 'g', 7897, 'p', 4341, 'F', 'c', 'i', '1227', 'p', '6197', 'M', '3549', 'G', '11', '7667', 'T', '7819', 'T', '8965', '4725', 'R', 'Q', '4873', '4701', 'F', 2669, 3809, 645, 6921, 'R... | s, m, c, Z, U, B, 6151, 7811, 7321, M, J, 4405, y
| 1 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.39944154024124146,
0.06579947471618652,
-0.1422351896762848,
-0.24670670926570892,
-0.12754908204078674,
-0.11398486793041229,
0.8527315855026245,
0.7005318403244019,
-0.5796366930007935,
0.24684078991413116,
-0.776198148727417,
0.2733366787433624,
-0.286450058221817,
0.3759166598320007... |
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... | personal
| 6 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.5744732618331909,
-0.16560764610767365,
0.326416939496994,
0.39635002613067627,
-0.24060973525047302,
-0.7976706027984619,
-0.09696146845817566,
0.5336605310440063,
-0.4773057997226715,
-0.02680346742272377,
-0.5359392166137695,
-0.13120058178901672,
-0.379180908203125,
-0.6754319667816... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: നരേന്ദ്ര മോദി നാളെ (ഡിസംബര് 27, 2018) ഹിമാചല് പ്രദേശ് സന്ദര്ശിക്കും
Solution: நரேந்திர மோடி (... | கொள்கை முன்முயற்சிகள், வளர்ச்சிக்கு முழுமையான அணுகுமுறைகள், புதிய கண்டுபிடிப்பு உணர்வு, தொழில்நுட்பம் ஆகியவை குறித்தும் அவர் பேசினார். | 4 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
-0.2663935422897339,
-0.3905888497829437,
0.2713659107685089,
0.1940593421459198,
-0.21661975979804993,
-0.9783628582954407,
0.14782702922821045,
-0.03043827973306179,
-1.120579719543457,
0.5202605724334717,
-0.901083767414093,
-0.18816375732421875,
-0.011231268756091595,
0.331405997276306... |
Detailed Instructions: 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 reasonabl... | Sie werden wahrscheinlich eine Biene in einer Suche zu finden. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.30301228165626526,
0.9394760727882385,
0.12103205174207687,
-0.5111160278320312,
-0.19140572845935822,
-0.18475446105003357,
1.153645634651184,
0.9607928991317749,
0.4626128077507019,
-0.6008543968200684,
-0.2993904650211334,
0.3767639100551605,
-1.038437843322754,
0.23152616620063782,
... |
Q: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: Jor... | B | 7 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.27483150362968445,
0.5012149810791016,
-0.30127400159835815,
-0.35689759254455566,
0.04434579238295555,
-0.9059150815010071,
0.4497509002685547,
0.4838084578514099,
0.227396622300148,
0.2160108983516693,
-0.09529265761375427,
-0.22244778275489807,
-0.5581492185592651,
-0.5929327607154846... |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | Output: socioeconomic
| 2 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
-0.3102603554725647,
-0.2503717541694641,
-0.3298259973526001,
-0.16067636013031006,
0.16092537343502045,
0.013415152207016945,
0.020120857283473015,
0.5173612833023071,
0.4563807547092438,
0.3749786615371704,
-1.035247802734375,
-0.17684775590896606,
-0.4924328029155731,
-0.33062115311622... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: جدید ٹیکنالوجی کو تیزی سے اختیار کرنے کی حوصلہ افزائی کرتے ہوئے وزیراعظم نے کہا کہ مٹی کی جانچ ہاتھ میں پکڑنے والے آلات کے ذریعے ہی ممکن ہے۔... | শ্রী মোদী বলেন, তাঁর সরকারের ৫৫ মাস এবং অন্যান্যদের ৫৫ বছর প্রশাসনিক ব্যবস্থায় দুই ভিন্নধর্মী প্রয়াসের প্রতিফলন ঘটায়। | 3 | NIv2 | task1070_pib_translation_urdu_bengali | fs_opt | [
-0.01075323112308979,
0.7155153751373291,
-0.4526395797729492,
-0.6463135480880737,
-0.16463500261306763,
-0.679503321647644,
0.10043622553348541,
0.8007985949516296,
-0.15949034690856934,
0.13400298357009888,
-0.6500391960144043,
-0.06227581948041916,
0.33753472566604614,
0.46105447411537... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | Output: WvmJgacjmnpzoq, feTacjmnpzvXYAg
| 2 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.7325186133384705,
0.42658698558807373,
-0.02599247731268406,
0.4868070185184479,
0.561660885810852,
-0.17879948019981384,
-0.1878492534160614,
0.2424824833869934,
-0.400732159614563,
0.020544635131955147,
-0.808466374874115,
-1.0947121381759644,
-0.4513241648674011,
-0.47175079584121704,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
フランスのパリ、パルク・デ・プランスで行われた2... | កម្មករបានតវ៉ាថាវគ្គវេទិកានោះប្រឆាំងនឹងជំនឿសាសនារបស់ពួកគាត់។ | 0 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.19279147684574127,
0.12918999791145325,
-0.7482436895370483,
0.3103156089782715,
-0.4365774691104889,
-0.44397491216659546,
0.7346572875976562,
0.8374334573745728,
-0.1290586143732071,
-0.5080909729003906,
-1.066333532333374,
0.44002488255500793,
-0.42754778265953064,
0.6745355725288391,... |
In this task, you need to provide the correct option for a given problem from the provided options.
One example is below.
Q: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the ratio of us to... | e | 9 | NIv2 | task1421_mathqa_other | fs_opt | [
0.2551766335964203,
0.528408944606781,
-0.093328095972538,
-0.09756746888160706,
-0.2492077499628067,
-0.2698218822479248,
0.08872479945421219,
0.48504576086997986,
0.412199467420578,
-0.4490950405597687,
-0.18560177087783813,
0.5322091579437256,
-0.22190426290035248,
0.09933999925851822,
... |
In this task, you need to Translate Czech text to English.
Zpusob výroby vysokopevných nízkolegovaných trubek zahrnuje proces termomechanického zpracování a/nebo proces interkritického tepelného zpracování, kdy nejprve probíhá výroba trubek válcováním za tepla nebo protlacováním za tepla, následuje proces vychlazování... | In the present invention, there is disclosed a process for producing high-strength low-alloyed steel pipes including a thermomechanical treatment and/or an intercritical heat treatment, where the pipes are produced first by hot rolling or hot extrusion, upon which follows a cooling process and, finally, drawing and/or ... | 0 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.2903103530406952,
-0.22381886839866638,
-0.7061054706573486,
1.8533754348754883,
0.3838886320590973,
-0.8076672554016113,
0.138220876455307,
0.5261052846908569,
-0.6745508909225464,
0.5097850561141968,
-0.033866479992866516,
-0.3161352276802063,
0.48613327741622925,
0.5852696299552917,
... |
Definition: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require an... | Who wants to marry her? | 2 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.5665440559387207,
0.200242280960083,
-0.3380698263645172,
-0.7498481273651123,
0.3103303015232086,
-0.2271164059638977,
0.945073664188385,
0.7934478521347046,
-0.18602050840854645,
0.14445461332798004,
0.32091647386550903,
0.2921832799911499,
-0.6090294122695923,
0.0848994255065918,
-0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is ... | Does documentation in medical records improve after a neurointensivist 's appointment? | 0 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.30155637860298157,
0.3225131034851074,
-0.18329305946826935,
-0.3110104203224182,
0.5861583948135376,
-0.39561909437179565,
0.2236158400774002,
0.6959841251373291,
-0.3601740598678589,
-0.08457498252391815,
-0.23744012415409088,
-0.007938593626022339,
-0.655449628829956,
0.53639084100723... |
Teacher:The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian ... | Si meg hvorfor De var så ivrig på at sir Henry skulle reise tilbake til London?” | 6 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.5640202164649963,
0.8638112545013428,
0.23787333071231842,
-0.5887406468391418,
-0.25419706106185913,
-1.1328957080841064,
0.8011237382888794,
-0.24699591100215912,
-0.12373849749565125,
-0.6699155569076538,
0.26307231187820435,
1.1354804039001465,
-1.3284717798233032,
-0.01148646138608... |
Definition: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements th... | No | 2 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.17673572897911072,
-0.1995793879032135,
-0.5338337421417236,
0.12828579545021057,
-0.11833857744932175,
-0.2059159278869629,
0.5986799001693726,
0.5176705121994019,
-0.055032774806022644,
-0.21671563386917114,
-0.5006501078605652,
0.16514137387275696,
-0.017916254699230194,
-0.2104991674... |
Instructions: 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... | Two people are lost in the woods. | 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.8553817272186279,
1.0342426300048828,
0.3644246459007263,
-0.48347020149230957,
0.09871968626976013,
-0.30324599146842957,
-0.297302782535553,
0.6401345729827881,
0.2849613428115845,
-0.49148988723754883,
-0.7820310592651367,
-0.6009213924407959,
-0.23728656768798828,
-0.176313266158103... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | At dinner last night, PersonX got a glass of red wine, while PersonY drank white. _ likes a smokier finish to their wine. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.2686777412891388,
0.4867812395095825,
0.27184122800827026,
0.3683420419692993,
0.0989973396062851,
0.027762271463871002,
0.4760013222694397,
1.0358742475509644,
0.1429157257080078,
-0.7109696865081787,
0.0030417446978390217,
-0.3731553256511688,
-0.2909605801105499,
0.0003338854294270277... |
Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: John tugged a woman a canoe
Output: | John tugged a canoe to a woman | 3 | NIv2 | task132_dais_text_modification | zs_opt | [
0.1513720154762268,
1.1973507404327393,
0.0980178564786911,
-0.8826848864555359,
0.4752407670021057,
-0.5069266557693481,
-0.09046462178230286,
0.30134063959121704,
-0.4571365714073181,
-0.05137884244322777,
0.03962196409702301,
-0.18799975514411926,
-0.7368379831314087,
-0.302412211894989... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Example: אחרי הכל, הם החליטו, והם עשו,
Output: Afinal de contas elas é que decidem, e decidiram mesmo.
The Hebrew sentence is correctly translated... | Só quero que pensem um pouco sobre como é a experiência de conduzir agora. | 1 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-0.15980657935142517,
0.9377554655075073,
0.3840586245059967,
0.33673587441444397,
-0.472235769033432,
-0.07819019258022308,
0.37655776739120483,
0.8974592685699463,
0.6171311140060425,
-0.18464404344558716,
-0.3560928404331207,
0.583600640296936,
-0.14311468601226807,
-0.19624125957489014... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than ... | Yes. | 0 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.8895944356918335,
0.24077610671520233,
0.22860825061798096,
0.4337848424911499,
-0.4115137457847595,
-1.0689512491226196,
0.5638281106948853,
0.7838575839996338,
0.223448246717453,
0.02253146655857563,
-0.35567545890808105,
-0.016938406974077225,
0.057397108525037766,
-0.148112818598747... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
--------
Question: اکسیتوسین به شما تمایل برای ارتباط فیزیکی میده
Answer: L'ossitocina vi fa desiderare il contatto fisico
Question: دنیایی که بر مبنای علیت ساخته شده.
Answer: E 'un universo basato sulla causalità.
Ques... | Si stimano circa 60-70 detenuti, e sono per la maggior parte musulmani.
| 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-1.0984725952148438,
0.8377906084060669,
-0.6832793951034546,
0.27556824684143066,
-1.1310069561004639,
-0.3967145085334778,
0.6953644156455994,
-0.01726367697119713,
0.37224894762039185,
-0.48181843757629395,
-1.305390477180481,
0.5888487696647644,
-0.1297573745250702,
0.7168028354644775,... |
You will be given a definition of a task first, then some input of the task.
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provide... | Auburn. | 1 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.29123175144195557,
0.10971146076917648,
-0.39867526292800903,
-0.20582041144371033,
0.08251005411148071,
-0.43600934743881226,
0.31826961040496826,
1.239702582359314,
-0.7718822956085205,
0.15807923674583435,
-0.8236569762229919,
0.15378990769386292,
-0.7259290814399719,
-0.1503238379955... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'i... | informal | 6 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.34281423687934875,
0.13227713108062744,
0.40992438793182373,
-0.4227082133293152,
0.15902221202850342,
0.057456135749816895,
0.3541114628314972,
0.06034097075462341,
-0.05272386968135834,
-0.12350538372993469,
-0.3647231459617615,
-0.6393806338310242,
-0.3087812662124634,
0.109780959784... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
PROBLEM: ננצח משום שאין לנו סדר-יום מפלגתי פוליטי.
SOLUTION: Wygramy, bo nie mamy politycznej agendy.
PROBLEM: לכן אני מבקשת מכם להצטרף אליי במגילה הזאת — ביצירת המגילה הזאת, בהשקתה ובהפצתה, כך שתהפוך — אני ... | Jak sądzę, nie istnieje zdanie, które lepiej przywołuje ten czas niż to. To, że możemy umieścić w sieci zdjęcie swojego psa, umieścić do niego link, a ktoś, kto ogląda tą strone ma wybór: albo podąży za tym linkiem albo nie.
| 8 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.3871142864227295,
0.20633426308631897,
0.35884326696395874,
0.12875857949256897,
-0.5445632934570312,
-0.7903240919113159,
1.1597248315811157,
-0.002222349401563406,
0.0034814649261534214,
-0.13014759123325348,
-0.5662515163421631,
0.8733682632446289,
-0.4448096752166748,
0.174034669995... |
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 was unable to use the certification that I had for the job, because the _ was too skillful.
| 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.669861912727356,
0.25216320157051086,
-0.08511249721050262,
-0.059909142553806305,
0.617918848991394,
-0.6283488869667053,
0.8401377201080322,
1.1667832136154175,
-0.7071896195411682,
-0.38278627395629883,
-0.32059967517852783,
0.30938437581062317,
-0.4675586223602295,
0.1194283962249755... |
Teacher:In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judg... | Inversion | 6 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.2573024332523346,
-0.07407788932323456,
0.6732437610626221,
0.25523167848587036,
-0.1319451630115509,
-0.15558728575706482,
0.4607124924659729,
0.7684837579727173,
0.31458520889282227,
-0.5174353122711182,
-0.7707486152648926,
-0.9709759950637817,
-0.33164605498313904,
-0.51126015186309... |
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.
Example Input: Sentence 1: Once again, critics declare Francis Ford Coppola's ... | yes
| 3 | NIv2 | task199_mnli_classification | fs_opt | [
-0.23668739199638367,
0.17170780897140503,
0.5319043397903442,
-0.1054946631193161,
0.3850456178188324,
-1.3165514469146729,
0.21862880885601044,
0.5917399525642395,
-0.21953661739826202,
0.3263969421386719,
-0.02122965268790722,
-0.6018487215042114,
-0.6170646548271179,
-0.559994697570800... |
Q: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
where does the money for nhs come fro... | general taxation system | 7 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.3788979649543762,
0.6907434463500977,
0.4170234203338623,
0.1971503049135208,
-0.6387957334518433,
-1.0852546691894531,
1.494624376296997,
0.2479853630065918,
0.4889502227306366,
-0.15620307624340057,
-0.7556423544883728,
0.23382702469825745,
-0.5221750140190125,
0.17370794713497162,
... |
Part 1. Definition
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask yo... | arithmetic | 7 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.004960754420608282,
0.7282772064208984,
-0.37882739305496216,
-0.32852640748023987,
0.05993325263261795,
0.3856304883956909,
0.827885627746582,
0.6968384385108948,
0.2533762753009796,
-0.3637318015098572,
-0.863286554813385,
0.09483245015144348,
-0.18653501570224762,
-0.01653839834034443... |
Definition: In this task, you are given a question. You have to answer the question based on your information.
Input: Which 991 CE battle beside River Blackwater is the inspiration for an Old English poem of the same name?
Output: | Battle of Maldon | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
0.14401903748512268,
1.2012676000595093,
-0.42783352732658386,
-0.5243775844573975,
-0.26252853870391846,
-1.1226261854171753,
0.09536999464035034,
0.11910408735275269,
0.669792652130127,
0.4460985064506531,
-0.5346618890762329,
-0.14520415663719177,
-1.2894039154052734,
0.4101040363311767... |
Definition: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it sho... | Yes | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.4901657700538635,
0.20815271139144897,
0.8286665678024292,
0.03444179892539978,
-0.3613918423652649,
-0.6003180742263794,
0.6987537145614624,
0.29558008909225464,
0.08980566263198853,
-0.5312009453773499,
-0.6628342866897583,
0.34587401151657104,
-0.7896440029144287,
0.48253774642944336... |
Given the task definition and input, reply with output. 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.
تبلیغات سیاسی، جوسازی، پروپاگاند یا پروپاگاندا گونهای ارتباط است که در آن، اطلاعات هماهنگ و جهتدار برای... | تا از سوی مخاطب، واکنش و رفتاری احساسی و نه آگاهانه و خردمندانه سر بزند | 5 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
-0.6972366571426392,
0.11552423238754272,
-0.06269688904285431,
0.6601369380950928,
-0.6736199855804443,
0.5219452381134033,
0.9140752553939819,
0.6457838416099548,
0.1301102340221405,
-0.18588334321975708,
-0.9235291481018066,
0.9542928338050842,
0.017009679228067398,
-0.30194520950317383... |
Teacher:In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always h... | 275313951573ijS31395121j2667 | 6 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.3542061448097229,
0.4718453288078308,
-0.27730420231819153,
-0.7401741743087769,
0.10346639901399612,
-0.49705034494400024,
0.2920166254043579,
-0.08977040648460388,
-0.5806299448013306,
0.5097488164901733,
-0.6383130550384521,
-0.11997802555561066,
0.26730090379714966,
-0.3825865685939... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
כן. מרפא ל HIV.
A: | Si. Unha cura para o VIH. | 7 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.5239189863204956,
0.6521843671798706,
-0.07550401985645294,
-0.4048824906349182,
-0.4724951386451721,
-0.783627986907959,
0.5136556029319763,
0.5219049453735352,
0.7611419558525085,
-0.5737901926040649,
-0.7218076586723328,
0.9909715056419373,
-0.6753791570663452,
-0.040358178317546844,... |
This task is about translating a given French language sentence to English.
Q: C'est pourquoi le bouchon reste solidaire du torchon
A: | That's why the cork is interdependent with the wipe when you pull this one out of the bottle. | 4 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.27041947841644287,
0.8264380097389221,
0.715416669845581,
-0.9162697792053223,
0.3058543801307678,
-0.5907516479492188,
0.44649118185043335,
0.34892788529396057,
0.3385990560054779,
0.194708913564682,
-0.14950919151306152,
0.4887344539165497,
-0.777824878692627,
0.18795090913772583,
-0... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: 3 Ang tinig ng isang sumisigaw sa ilang, Ihanda ninyo ang daan ng Panginoon, Tuwirin ninyo ang kaniyang mga landas; | 3 The voice of one crying in the wilderness, Prepare ye the way of the Lord, make his paths straight. | 0 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.05834628641605377,
0.7148125767707825,
-0.6160299777984619,
-0.5016619563102722,
-0.409570574760437,
-0.6488320827484131,
0.28390541672706604,
0.34681153297424316,
-0.271673321723938,
-0.3276500701904297,
-0.10712282359600067,
-0.1332370787858963,
-0.5456715822219849,
-0.576307594776153... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Example: Which writer rode Devon Loch in the 1956 Grand National?
Example solution: dick francis
Example explanation: The answer is precise and accurately answers the q... | Solution: ivan lendl | 5 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
-0.4050958454608917,
0.8079320788383484,
-0.23021744191646576,
-0.5190593004226685,
0.08104776591062546,
-0.3844720125198364,
1.217865228652954,
-0.8029013872146606,
0.44273704290390015,
-1.036037564277649,
-0.816711962223053,
0.9484243988990784,
-0.570583701133728,
0.12398408353328705,
... |
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