inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Definition: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input ... | SIMILAR | 2 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.5256686806678772,
0.0025758964475244284,
0.5276512503623962,
-0.6235766410827637,
-0.1714613437652588,
0.3317565321922302,
1.2834234237670898,
0.16379651427268982,
0.5746252536773682,
-0.18656641244888306,
-0.7680414915084839,
-0.5650607347488403,
-1.3980977535247803,
0.5552606582641602... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Example: It is NOT a function of the intermediate filaments
Output: NO es una función de los filamentos in... | De la siguiente lista de antimicrobianos, ¿cuál NO elegiría como tratamiento secuencial en un paciente al que va a dar de alta a su domicilio? | 1 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
-0.5613270998001099,
0.09691393375396729,
-0.35926946997642517,
0.11559087783098221,
0.2516423463821411,
-0.27652284502983093,
0.15713688731193542,
0.7430602312088013,
0.14646025002002716,
0.06573796272277832,
-0.19513973593711853,
0.4251541495323181,
0.2539416551589966,
-0.161619424819946... |
TASK DEFINITION: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
PROBLEM: وزیراعظم نےغیر مقیم ہندوستانیوں سے نئے ہندوستان کی تعمیر میں ہاتھ بٹانے کی اپیل کیحکومت ہند کو بدعنوانیوں سے پارک کرنے اور شفاف ... | તમારો આભાર.
| 8 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.6323400139808655,
0.03453175723552704,
-0.16706669330596924,
-0.0016555262263864279,
-0.6301857233047485,
-0.002288023242726922,
0.27684450149536133,
0.45707985758781433,
-0.4112301766872406,
-0.051089994609355927,
-0.6416672468185425,
0.4910934269428253,
0.014108306728303432,
-0.092654... |
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... | Todo el bloque puede conseguirle un puesto. | 0 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.03007545694708824,
1.4951941967010498,
-0.07565988600254059,
-0.07787100970745087,
0.05772878974676132,
-0.7516012191772461,
0.22956445813179016,
1.709079384803772,
0.39406150579452515,
-0.6180554628372192,
-0.6656129360198975,
0.22200873494148254,
-0.5963861346244812,
0.109737709164619... |
Detailed Instructions: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Problem:A young girl is standing in the room in a black cami and black and w... | A | 8 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.4664916396141052,
0.8396998643875122,
-1.0145905017852783,
-0.3192404508590698,
-0.6503694653511047,
-0.0662141814827919,
0.054083310067653656,
0.49493417143821716,
0.7671023011207581,
0.7505936622619629,
0.058790795505046844,
0.35870835185050964,
0.8911418914794922,
-0.3174390494823456,... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Ex Input:
[47.126, 25.781]
Ex Output:
[0.646 0.354]
Ex Input:
[17.011, 227.693, 182.857]
Ex Output:
[0.04 0.5... | [ 0.407 -0.449 0.327 0.097 -0.014 0.505 0.129]
| 1 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.7306665182113647,
-0.045981645584106445,
-0.9426256418228149,
-0.8792639970779419,
0.07435641437768936,
0.2816569209098816,
0.3682006597518921,
-0.05710204690694809,
-0.0638507604598999,
-0.10199283063411713,
-0.8669130802154541,
0.6050083637237549,
-0.26971158385276794,
-0.668862164020... |
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 need to reverse the order of words in the given sentence.
Sentence: luggage surrounds a vehicle in an underground parking area
Solution: area parking underground an in vehicle a su... | racquets holding court tennis on standing people of couple a | 0 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.18253840506076813,
0.5281472206115723,
-0.03950180858373642,
0.052416589111089706,
0.11706710606813431,
-0.2173808515071869,
0.4426533877849579,
0.5155008435249329,
0.9317229390144348,
-0.21210815012454987,
-1.1714214086532593,
-0.2768785059452057,
-0.16806387901306152,
-0.1059084534645... |
You will be given a definition of a task first, then some input of the task.
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a... | Valid | 1 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
-0.22702093422412872,
0.7144289016723633,
0.38047656416893005,
-0.47254133224487305,
-0.049972616136074066,
-1.387083649635315,
0.3346574902534485,
0.52077716588974,
0.39023125171661377,
0.4210836887359619,
-0.5791819095611572,
-0.6362291574478149,
-0.3035195469856262,
0.12389566749334335,... |
Teacher: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspo... | Mound Candy | 2 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8522406816482544,
0.501563549041748,
-0.2680465281009674,
0.7571524381637573,
0.23137333989143372,
-1.2286163568496704,
0.6783816814422607,
0.8104523420333862,
-0.5392934083938599,
-0.4851422905921936,
-0.053442783653736115,
-0.21385642886161804,
-0.44645896553993225,
-0.0198294743895530... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Zoe falls asleep >Causes/Enables> Zoe wakes up | 3 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.2919021546840668,
0.11783145368099213,
0.014685537666082382,
0.19287702441215515,
-0.5521793365478516,
-1.6154128313064575,
0.2492101788520813,
0.8113614320755005,
-0.976874053478241,
0.37713947892189026,
-0.5756856203079224,
-0.17420390248298645,
-0.2399899959564209,
-0.656290531158447... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating yo... | a | 1 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.3892896771430969,
0.4128531217575073,
-0.23307453095912933,
0.4710196554660797,
0.44730859994888306,
-0.07203400880098343,
0.26949140429496765,
1.3061922788619995,
-0.3109153211116791,
0.566411554813385,
-0.6661797761917114,
0.24768264591693878,
0.1587652713060379,
-0.22438988089561462,
... |
Q: In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[41, 59, ... | [-34, -100, -4, 18, -30, 54] | 7 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.43630853295326233,
0.6170070171356201,
-0.024597320705652237,
-0.789899468421936,
0.0642671287059784,
-0.4140031337738037,
1.0823256969451904,
0.2693926692008972,
0.273351788520813,
0.42577266693115234,
-0.7431217432022095,
-0.029310306534171104,
-0.08184196799993515,
-0.281747281551361... |
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.
Example input: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
Example output: A giraffe can eat up to 75 po... | laurence and zac , they 're behind us . | 3 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.5430320501327515,
0.5420100092887878,
0.5432792901992798,
-0.2983534336090088,
-0.33392176032066345,
-0.5270503163337708,
0.43311402201652527,
0.25237205624580383,
-0.428337037563324,
-0.5562566518783569,
-0.05035432428121567,
-0.23308706283569336,
-0.7677199840545654,
0.756659686565399... |
instruction:
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
question:
ভাল একটি বই... আপনাদের সংগ্রহে রাখতে পারেন... :)
answer:
positive
question:
মাস্টার পাসওয়ার্ড বইটিতে খুবই সুন্দর ভাবে সফল হবা... | negative
| 9 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-0.44447046518325806,
0.10212497413158417,
0.04975099861621857,
-0.38506394624710083,
0.29512327909469604,
0.03384769707918167,
0.9025435447692871,
-0.042975835502147675,
0.3286779224872589,
-0.21666011214256287,
-1.1270830631256104,
-0.3832685947418213,
-0.631188690662384,
-0.285034060478... |
Teacher: 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. The... | (C) | 2 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.6073874831199646,
0.11737054586410522,
-0.5033281445503235,
-0.21111595630645752,
0.4292563498020172,
-1.2789195775985718,
0.4211318790912628,
1.1372392177581787,
-0.4018005430698395,
0.013684715144336224,
-0.2570786476135254,
0.49400389194488525,
-0.5431886911392212,
0.10173206776380539... |
Q: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is OTHER wrong in the post ? POST : I've been friends on and off with someone , let's call him M... | yes | 7 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.34640631079673767,
-0.4056036174297333,
-0.3197605311870575,
0.3465191125869751,
0.10877415537834167,
-0.983379602432251,
0.39876291155815125,
0.6229954361915588,
0.550042986869812,
0.029436009004712105,
0.07840438932180405,
-0.23855343461036682,
-0.6304311156272888,
0.17719504237174988,... |
Detailed Instructions: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Problem:A third party outside of our label scheme does receive ... | Other | 8 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-1.1230206489562988,
0.5577669143676758,
-0.5045799016952515,
-0.0886092483997345,
-0.7573000192642212,
-0.7248921394348145,
0.047043755650520325,
0.3249513506889343,
0.1882084608078003,
0.5108189582824707,
0.31933528184890747,
0.3185884356498718,
-0.42750900983810425,
-0.36977940797805786... |
Detailed Instructions: In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Problem:When... | June 20, 2018 | 8 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.3993189036846161,
0.24760960042476654,
-0.6853604912757874,
-0.31115812063217163,
-0.4366118311882019,
0.3255299925804138,
0.9518317580223083,
0.3963828682899475,
0.23347413539886475,
-0.6609218120574951,
0.22031539678573608,
1.1390713453292847,
-0.7086026668548584,
0.22371278703212738,... |
instruction:
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.
question:
نائب صدر جمہوریہ نے کہا کہ مجھے اس تاریخی شہر میں آپ سے بات چیت کرتے ہوئے خوشی محسوس ہورہی ہے اور میں وائس چانسلر پروفیسر گرمیت سنگھ سے ی... | தாவர்சந்த் கெலாட்
| 9 | NIv2 | task1036_pib_translation_urdu_tamil | fs_opt | [
-0.5403194427490234,
0.6194018721580505,
0.09385830909013748,
-1.0642743110656738,
0.3766930103302002,
-1.0566517114639282,
0.5819448828697205,
-0.1572125256061554,
-0.11234647035598755,
-0.1214883029460907,
-0.04639425873756409,
-0.4618811011314392,
-0.363254189491272,
0.3163094222545624,... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in parti... | Non-threat | 5 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.6246933341026306,
1.0353422164916992,
0.8481743335723877,
0.44466912746429443,
-0.302722305059433,
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0.8224608898162842,
0.7396018505096436,
0.3207787275314331,
0.26679566502571106,
-0.07891993224620819,
0.25683116912841797,
-0.520817220211029,
-0.6554824113845825,
... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Q: Despite claims t... | health-care | 9 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.1446794867515564,
0.9810885190963745,
0.004352414049208164,
-0.6364539265632629,
-0.11405414342880249,
-0.8372291922569275,
-0.23602798581123352,
0.8254151940345764,
0.8459705710411072,
0.027144337072968483,
-0.14975199103355408,
0.2810062766075134,
-0.1880594789981842,
-0.2470536828041... |
TASK DEFINITION: A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
PROBLEM: നമ്മുടെ ബഹുമാന്യനായ മുന് രാഷ്ട്രപതി ഡോ: എ.
SOLUTION: ਮੈਨੂੰ ਸਾਡੇ ਸਵਰਗੀ ਰਾਸ਼ਟਰਪਤੀ ਡਾ.
PROBLEM: ഊര്ജ്ജാധിക്യമുള്ള ഒരു കാലഘ... | ਮਾਣਯੋਗ ਜੋਸੇਫ ਮਲਾਂਜੀ, ਵਿਦੇਸ਼ ਮੰਤਰੀ
| 8 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
0.29026252031326294,
0.29004549980163574,
-0.06684082746505737,
-0.5727704763412476,
-0.1577877402305603,
-0.4412590265274048,
0.7909662127494812,
0.22148388624191284,
0.07554551213979721,
0.31287476420402527,
-0.5851728916168213,
0.01709625869989395,
-0.6265869736671448,
0.213655889034271... |
Q: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Title: Out of Coffee. Sentence 1: Tom was not a morning ... | I really hope I get the puppy someday. | 7 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.09205038845539093,
1.1406166553497314,
0.5306693315505981,
-0.6724069118499756,
-0.19343164563179016,
-0.18384718894958496,
0.10217208415269852,
1.0032639503479004,
0.3216482400894165,
-0.22999097406864166,
-0.4869205951690674,
-0.08853916823863983,
-0.28183770179748535,
0.0139637878164... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | where do flowers form?
| 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.7971981167793274,
0.8830893039703369,
0.04582896828651428,
0.04360831156373024,
-0.4943621754646301,
-0.48824557662010193,
0.4798181653022766,
1.0867915153503418,
0.3470202684402466,
-0.4971638023853302,
-1.1170408725738525,
0.1806044578552246,
-0.11734266579151154,
0.017551466822624207,... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Problem:(ضحك) اذاً هناك شيئ مثير للاهتمام يحصل.
Solution: | (Risate) Doveva per forza essere all'opera qualche fenomeno interessante. | 8 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.1570998877286911,
0.8015872240066528,
0.027394363656640053,
-0.628467321395874,
-0.49538350105285645,
0.19158729910850525,
0.1623433232307434,
0.5770376920700073,
0.5421801805496216,
-0.4727470278739929,
-0.6949201822280884,
-0.0115030063316226,
-0.20405083894729614,
0.4828430414199829,
... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Inversion | 3 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.4802849590778351,
0.8141637444496155,
0.6250712275505066,
-0.05468330532312393,
0.17793503403663635,
-0.7375255823135376,
0.50883549451828,
0.6220000982284546,
-0.05262693017721176,
-0.18060067296028137,
-1.055688500404358,
-0.315524697303772,
-1.2364872694015503,
-0.15910063683986664,
... |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects... | Sentence 1: James had to scoop to much spoonful of the condiment to fill up the jar. The _ is quite small.
Answer1: spoon.
Sentence 2: James had to scoop to much spoonful of the condiment to fill up the jar. The _ is quite large.
Answer2: jar. | 1 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.5890525579452515,
0.17959246039390564,
-0.03419056162238121,
-0.07671616971492767,
0.9109491109848022,
-0.5865606069564819,
0.4323011636734009,
1.3708038330078125,
-0.5505962371826172,
-0.2555729150772095,
-0.38093215227127075,
-0.004905604757368565,
-0.17241282761096954,
-0.134571075439... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Example: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Example solution: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Example explanation: The Spanish sentence is ... | Solution: Na crise, na recessão, o que é que as pessoas querem fazer? | 5 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.043566517531871796,
1.1783099174499512,
0.5443841218948364,
-0.3088572025299072,
0.09134794771671295,
-0.5313187837600708,
-0.07282306253910065,
0.6421151757240295,
0.3060833215713501,
-0.7477943897247314,
-0.8682774305343628,
-0.025821616873145103,
-0.7120588421821594,
0.05597098171710... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Problem:Sentence 1: The bleakest lesson of After the Mad... | yes | 8 | NIv2 | task199_mnli_classification | zs_opt | [
-0.3565622866153717,
0.46525707840919495,
0.45653036236763,
-0.519257664680481,
-0.2618633210659027,
-1.126295804977417,
0.6268770098686218,
0.9218688011169434,
0.4297858476638794,
-0.000771581893786788,
-0.435405433177948,
-0.7913652062416077,
-0.6526334881782532,
0.33363354206085205,
-... |
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: On a large serving platter or possibly plate, arrange lemon slices in a single overlapping layer., Drizzle extra virgin olive oil over... | lemons, flat leaf parsley, extra-virgin extra virgin olive oil Salt | 4 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
-0.6285470724105835,
0.5357534289360046,
0.10368997603654861,
-0.07759696990251541,
-0.6243797540664673,
-0.33288225531578064,
0.782980740070343,
0.3125722110271454,
0.03878391161561012,
-0.49330270290374756,
0.4994060695171356,
0.3004412055015564,
-0.8744094371795654,
-0.05784288421273231... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
[Q]: Context: A friar is a member of one of the mendicant orders founded since the twelfth or thi... | wales
| 5 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.8880044221878052,
-0.19148385524749756,
-0.8379554152488708,
-0.11042602360248566,
0.020317405462265015,
-0.43487197160720825,
0.7706640362739563,
0.9430084824562073,
-0.0956844836473465,
0.49227771162986755,
0.23371157050132751,
0.5638057589530945,
-0.7072739005088806,
0.008042586967349... |
Detailed Instructions: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with ... | Rembrandt painted himself in his Self-Portrait with a Toque. | 8 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.6343867778778076,
0.7619218826293945,
0.025143690407276154,
0.30790191888809204,
-0.03282162547111511,
-0.4636733829975128,
-0.26697593927383423,
0.4143763780593872,
0.06526197493076324,
-0.23484700918197632,
0.00884208083152771,
0.1582322120666504,
-0.6969515681266785,
-0.1993970274925... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the followin... | Two members of the Nigeria Branch Committee, along with the circuit overseer and brothers working in the Service Department and Local Design/Construction Department, have visited the publishers in the affected areas to provide support.
| 3 | NIv2 | task1620_menyo20k-mt_yo_en_translation | fs_opt | [
-0.3468412458896637,
-0.029221555218100548,
-0.04376339912414551,
0.331426739692688,
0.3154238164424896,
-0.8438815474510193,
0.4258376657962799,
0.9681970477104187,
-0.3608194589614868,
-0.08822989463806152,
0.013342289254069328,
0.2678667902946472,
-0.602757453918457,
0.02849192544817924... |
Detailed Instructions: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and ... | A, B, C, D, H. | 4 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.4710359573364258,
-0.014439045451581478,
-0.6205072999000549,
0.4888971149921417,
0.2553247809410095,
0.018204497173428535,
0.28744110465049744,
1.0550123453140259,
0.579283595085144,
0.6941537261009216,
0.149832621216774,
0.58465576171875,
-0.5033641457557678,
-0.18113863468170166,
-0... |
Instructions: In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Input: the amazon basin is the part of south america drained by the amazon river and its tributaries.
Output: | the amazon basin is part of south america drained by the amazon river and tributaries. | 3 | NIv2 | task934_turk_simplification | zs_opt | [
1.085144281387329,
0.5202959179878235,
0.32961225509643555,
-1.0560359954833984,
-0.30581381916999817,
-0.39651942253112793,
0.10525199770927429,
-0.019786030054092407,
-0.13326433300971985,
-0.06040962040424347,
-0.20309972763061523,
-0.3919370770454407,
-0.693065881729126,
-0.31081891059... |
Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Dialogue 1: 'by by teach yourself you know all languages'. Dialogue 2: 'jump in... | yes | 3 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.5748822689056396,
0.2796677350997925,
0.3757082521915436,
-0.33712682127952576,
-0.23011328279972076,
-0.10846134275197983,
1.0242693424224854,
0.13555249571800232,
0.05129917711019516,
-0.22109146416187286,
-0.03554096445441246,
-0.5866576433181763,
-0.8781843185424805,
0.0013697651447... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. 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 confuse ... | The backpacks are big. | 9 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.15408939123153687,
0.6279259324073792,
0.4259117841720581,
-0.6276682615280151,
0.05306713283061981,
-0.903866708278656,
0.003196782199665904,
0.770034909248352,
0.22118695080280304,
-0.5418694019317627,
-0.8313958644866943,
-0.5364828109741211,
-0.8999885320663452,
-0.5347001552581787,... |
In this task, you need to Translate Czech text to English.
Cílem řešení pe zjednodušit technické prostředky pro řízení diskové ^paměti s pružným magnetickým diskem, snížit náklady a zmenšit rozměry bez použití drahých obvodů velké integrace, využít hlavního procesoru, který v systému na úrovni mikroprogramů souč... | the task of design is the simplicity of construction with a relatively small built-up area and reduced operator effort while reducing acquisition costs with maintenance and repair costs with the possibility to use it also for small body 1 piece production. For that purpose on the carrier frame Attachments that a... | 0 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
-0.09822975099086761,
-0.21473518013954163,
-0.4722779393196106,
0.12475425750017166,
0.38461926579475403,
-0.9306226968765259,
0.8599139451980591,
0.7579333186149597,
0.43148189783096313,
0.1987309753894806,
-0.11673042178153992,
-0.016019701957702637,
-0.51234370470047,
0.134213492274284... |
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Q: That was the reasoning about Us, which We gave to Abraham (to use) against his people: We raise whom We will, degree after degree: for thy Lord is full of wisdom and knowledge.
A: | و آن [دلایل استوار و محکم] حجت و برهان ما بود که به ابراهیم در برابر قومش عطا کردیم؛ هر که را بخواهیم [به] درجاتی بالا میبریم؛ زیرا پروردگارت حکیم و داناست. | 9 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.12571869790554047,
0.9783149361610413,
0.8743594884872437,
-0.8853830099105835,
-0.5471973419189453,
-1.380928635597229,
0.9874136447906494,
-0.10449867695569992,
0.7307077646255493,
0.3009050488471985,
-0.11292129755020142,
0.8974119424819946,
-1.2939465045928955,
0.10569323599338531,
... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Let me give you an example: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenan... | can you buy an opel in the usa | 8 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.05652587488293648,
0.23775216937065125,
-0.3812715411186218,
0.20835766196250916,
0.5612549781799316,
-0.3189738690853119,
1.5147777795791626,
1.1869027614593506,
-0.06982947885990143,
0.3065028786659241,
-0.22667236626148224,
0.9806466102600098,
-0.6378802061080933,
0.30933788418769836,... |
Given the task definition and input, reply with output. In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectiv... | (1, 2) | 5 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.7569112181663513,
0.5873572826385498,
0.17717671394348145,
-0.3682568073272705,
-0.38356658816337585,
0.06635165214538574,
0.2858402729034424,
0.2863280177116394,
0.11776226758956909,
-0.3614831268787384,
-0.44303640723228455,
-0.15413933992385864,
0.02493440732359886,
0.131954610347747... |
You will be given a definition of a task first, then some input of the task.
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its ... | Neutral | 1 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
0.07075880467891693,
-0.16494891047477722,
0.4781179428100586,
-0.06479308009147644,
0.5282725691795349,
-0.6707779765129089,
0.625166118144989,
0.8218117952346802,
0.3332722783088684,
-0.0336369127035141,
-0.8082091212272644,
-0.16279426217079163,
-0.9098475575447083,
-0.42926645278930664... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Q: (Iblis) said: "I am better than he: thou createdst me from fire, and him thou createdst from clay."
A: | گفت: من از او بهترم، مرا از آتش آفریدی و او را از گل ساختی. | 4 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.2058383822441101,
1.3812317848205566,
0.061640460044145584,
-0.31627893447875977,
-0.5067785978317261,
-1.2235326766967773,
-0.025279168039560318,
0.09517911076545715,
0.034786585718393326,
0.6775103807449341,
-0.02090425230562687,
0.21367749571800232,
-0.963670015335083,
-0.20077793300... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Russian, generate a new Russian 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 ... | Эффект от ремонта компьютера в том, что вы можете переместить его снова. | 1 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.5164803266525269,
0.6364790797233582,
-0.09885570406913757,
-0.06804163753986359,
-0.37014609575271606,
0.2966594696044922,
0.6189278364181519,
1.329653024673462,
0.641057014465332,
-0.5097736120223999,
-1.2933353185653687,
-0.05827680975198746,
-0.0079580619931221,
0.348785936832428,
... |
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respect... | C | 7 | NIv2 | task190_snli_classification | fs_opt | [
-0.32300084829330444,
0.7408276200294495,
0.3698376715183258,
-0.01275757234543562,
0.2654135227203369,
-0.5415304899215698,
0.2235296070575714,
0.35383862257003784,
0.15666493773460388,
-0.04102037847042084,
0.027550984174013138,
-0.1256135106086731,
-0.6023519039154053,
-0.25151756405830... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Example Input: הקטע כאן הוא שאחי יהפוך להיות משורר ניסיוני, ולא איש עסקים, אבל הכוונה היתה ממש טובה.
Example Output: Il trucco è che mio fratello è diventato un poeta sperimentale, non un uomo d'affari, ma l'intenzione era d... | Ma non vi voglio solo nella scena, non vi voglio alla finestra. Voglio farvi attraversare la finestra, vi voglio dall'altra parte, nel mondo, voglio farvi vivere quel mondo.
| 3 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.5699261426925659,
1.1396057605743408,
0.31910425424575806,
-0.10054253786802292,
-0.22779767215251923,
-0.4773343503475189,
0.2719922661781311,
0.2961501181125641,
0.566202700138092,
-0.09081628173589706,
-0.8128868341445923,
0.5310690402984619,
-0.057201825082302094,
0.0646667256951332... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
And I believed I could do it. | Credevo di poterlo fare. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.37043246626853943,
1.0623856782913208,
0.21606943011283875,
0.5912335515022278,
-0.002782317576929927,
-0.8263774514198303,
0.07749150693416595,
0.8473879098892212,
0.45770907402038574,
-0.3568972647190094,
-0.22593876719474792,
0.6556342840194702,
-0.4946344494819641,
0.267008900642395,... |
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 Arabic.
Example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Output: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط ال... | وقد كان هذا محبطاً للغاية بالنسبة لدوغ ، لأنه قبل ذلك الوقت كان فخورا بانجازه. | 1 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.5123688578605652,
0.37199562788009644,
-0.0331309549510479,
-0.4291429817676544,
-0.44007277488708496,
0.25321725010871887,
0.8562812805175781,
0.06157083064317703,
0.19764837622642517,
-0.3113440275192261,
-1.1565756797790527,
-0.04640905559062958,
-0.5155187845230103,
-0.1689858734607... |
In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Example input: Sentence 1:A suicide car bomber detonated his bomb as he attempted to drive an SUV into a Somali military camp . Sentence 2:However the v... | therefore | 3 | NIv2 | task563_discofuse_answer_generation | fs_opt | [
-0.2077096700668335,
0.8853862881660461,
0.6652073264122009,
-1.093630313873291,
-0.1710159182548523,
-0.1285136342048645,
0.3412491977214813,
0.8727030754089355,
-0.46292850375175476,
-0.49587658047676086,
0.09155276417732239,
-0.30307501554489136,
-1.4525337219238281,
-0.5414875745773315... |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are sepera... | Not paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.6401733160018921,
1.018136739730835,
-0.10184559226036072,
-0.6264697313308716,
-0.3504805564880371,
0.20218288898468018,
1.0383477210998535,
0.4222235679626465,
0.1946571171283722,
-0.41722366213798523,
-0.20914025604724884,
0.25274908542633057,
-0.7640394568443298,
0.575562596321106,
... |
In this task, given a sentence in English Tokens, your task is to convert it into the English language
Example: The adult literacy program Read Santa Clara marked its tenth anniversary today with a gathering of program participants , staff , and supporters from the community .
Example solution: The adult literacy progr... | Solution: Elton Chigumbura and Gary Brent fought back for Zimbabwe with a partnership of 115 runs, with Chigumbura being run out for 59 runs and Brent finishing on 59 not out. | 5 | NIv2 | task547_alt_translation_entk_en | fs_opt | [
0.1496690958738327,
0.47973036766052246,
0.4249749779701233,
-0.3472000062465668,
0.08481931686401367,
-0.24591125547885895,
0.0443744920194149,
0.07099026441574097,
0.19992521405220032,
-0.48421287536621094,
0.20696952939033508,
0.2908248007297516,
-0.7501657009124756,
-0.2245288491249084... |
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 (co... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.08702688664197922,
-0.28239959478378296,
0.040789686143398285,
-0.01702960953116417,
0.4401056468486786,
-0.21170026063919067,
0.601197361946106,
1.0330651998519897,
-0.2512550354003906,
0.2131902277469635,
-0.3717004954814911,
-0.3888453245162964,
-0.07626800239086151,
0.144041299819946... |
instruction:
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must no... | He wanted to bake a tart, but made a cake instead, as he lacked ingredients for the _ .
| 9 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.8467647433280945,
0.48354998230934143,
0.034962475299835205,
0.28780508041381836,
0.5415010452270508,
-0.7338852882385254,
0.5211696624755859,
1.1400343179702759,
-0.399387001991272,
-0.382179856300354,
-0.3616477847099304,
0.21408820152282715,
-0.19657614827156067,
-0.06718326359987259,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
One example is below.
Q: Comment: Enough already.... | Threat | 9 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.515514612197876,
0.5988355875015259,
0.902198314666748,
0.22286221385002136,
0.11915145814418793,
-0.98448646068573,
0.5300424098968506,
0.7546132802963257,
-0.0806189700961113,
0.28368866443634033,
0.13016358017921448,
-0.14994549751281738,
-0.8731685876846313,
-1.123511791229248,
0.... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Input: Consider Input: في التقنيّات... حيث أنّ مشاكل هذه التقنيّات تحلّ بالتّدريج...
Output: The therapies will be improving faster than the remaining imperfections in the therapies are catching up with us.
Input: Conside... | Output: Once I was physically occupying the space that would ultimately give way to my childhood aspirations, I anticipated a smooth glide to the PhD.
| 2 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.4376057982444763,
0.48568835854530334,
-0.3760555386543274,
-0.2210133969783783,
-0.11948281526565552,
0.040064893662929535,
0.4002383351325989,
0.39119768142700195,
0.021166104823350906,
0.3521750569343567,
-0.21248219907283783,
0.6151707172393799,
-0.0911957174539566,
-0.0850764214992... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Y como la madre israelita dijo, "Nunca los dejamos ganar cancelando bodas." Quiero decir, ésta es una sociedad que ha aprendido — y hay otras también — que ha aprendido a vivir con una cierta cantidad de... | i, jak powiedziała izraelska matka: powiedziała: "" nigdy nie pozwolimy im wygrać przez powstrzymywanie ślubów "" to jest społeczeństwo, które nauczyło się i są też inne, które nauczyły się żyć z pewną dozą terroryzmu i nie emocjonować się tym tak. jak ci którzy mieli niewiele tego typu ataków | 3 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.11849547922611237,
1.3671629428863525,
0.016502123326063156,
0.01703876629471779,
-0.1390269696712494,
-0.4287255108356476,
0.6924901008605957,
0.7491216659545898,
-0.22313502430915833,
-0.13743320107460022,
-0.4119518995285034,
0.27437537908554077,
-1.1476982831954956,
-0.2317598164081... |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
See one example below:
Problem: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian,... | Answer: (B) System | 4 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.6296177506446838,
0.7897570133209229,
-0.8671901226043701,
-0.38285887241363525,
-0.25702714920043945,
-1.014278769493103,
0.1338932067155838,
0.763756275177002,
0.16300326585769653,
-0.009196891449391842,
-0.1069616973400116,
0.28227612376213074,
-0.5416409969329834,
0.00456254789605736... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Ex... | joy
| 3 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.30795997381210327,
-0.3769342303276062,
0.0943545401096344,
-0.16601288318634033,
-0.2354428768157959,
-0.0528368279337883,
0.6729608774185181,
1.1950796842575073,
-0.12569427490234375,
-0.12619554996490479,
-0.5885415077209473,
-0.05228198319673538,
-0.013909060508012772,
0.12058024108... |
instruction:
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
question:
gNHHqmRglPwdnyxlDkRTBiVVFRlpvYtboq, FuQTLyvQRyRwRglPwdnyxlDkRTHOmYcEUbgqYf
answer:
b, c, d, e, f, g, h, k,... | c, d, f, g, k, l, o, q, r, s, t, u, v, w, x, y
| 9 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
0.5511783957481384,
0.36894336342811584,
-0.043556634336709976,
-0.3771461248397827,
0.5976443290710449,
-0.6908072233200073,
0.7671833634376526,
0.2780088782310486,
-0.8399658799171448,
-0.3181692957878113,
-0.9382937550544739,
-0.5092531442642212,
-0.5558996200561523,
-0.0108917271718382... |
You will be given a definition of a task first, then some input of the task.
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
T... | True | 1 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.5083426237106323,
0.8770980834960938,
-0.06627463549375534,
0.1742393970489502,
-0.4878307580947876,
-0.8115949630737305,
0.2729179263114929,
0.25983336567878723,
0.030106686055660248,
0.05978124588727951,
0.06086726114153862,
-0.05125217139720917,
-0.38426804542541504,
0.098221674561500... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Ex Input:
و آن جوان در کردن این کار تاخیر ننمود، زیرا که شیفته دختر یعقوب بود، و او از همه اهل خانه پدرش گرامی تر بود.
Ex Output:
But if ye will not hearken unto us, to be circumcised; then will we take ou... | But thou shalt remember the LORD thy God: for it is he that giveth thee power to get wealth, that he may establish his covenant which he sware unto thy fathers, as it is this day.
| 1 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.3687592148780823,
0.6434175372123718,
-0.8296773433685303,
-0.03348405286669731,
-0.8188822269439697,
0.508254885673523,
0.8937561511993408,
0.36509382724761963,
1.070704460144043,
0.3904494345188141,
-0.4960959255695343,
0.9244413375854492,
-0.8423957824707031,
-0.20587828755378723,
... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Let me give you an example: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the British Commonwealth.
T... | North Macedonia | 8 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.9689854383468628,
-0.025094155222177505,
-0.3160129487514496,
-0.7447093725204468,
0.4383467435836792,
-0.681215763092041,
0.6887280941009521,
0.8490571975708008,
-0.30883166193962097,
0.6958006620407104,
0.22957026958465576,
0.24710769951343536,
-0.5891731977462769,
0.15468473732471466,... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Ex Input:
By Amanda CashmoreBBC News The job of protecting it belongs to security guard Kevin Gregory, who says he worked 160 hours in the week after... | Covid-19: Sussex Police issue 45 fines for rule-breakers
| 1 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.2279699742794037,
1.0277693271636963,
-0.09687428176403046,
0.1538325548171997,
0.6454734802246094,
-0.5807076096534729,
-0.029090099036693573,
0.6416625380516052,
0.13740533590316772,
0.44482362270355225,
-0.05753079056739807,
1.114725112915039,
-0.06846276670694351,
0.40009579062461853... |
Definition: The provided file includes inquiries about restaurants, and we ask you to translate those to the Finnish 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* lookin... | etsi " dairy queen " . | 2 | NIv2 | task251_spl_translation_en_fi | zs_opt | [
-0.5524160861968994,
0.6136550307273865,
0.12162545323371887,
-0.05339806526899338,
-0.23981644213199615,
0.0980466827750206,
0.6335427761077881,
1.0380253791809082,
-0.5933817625045776,
-0.3993123173713684,
0.20012417435646057,
0.560878574848175,
-0.40908944606781006,
0.7048689723014832,
... |
Teacher:In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Teacher: Now, understand the problem? Solve thi... | English | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.7399649620056152,
0.48916059732437134,
0.2398519217967987,
-0.44637003540992737,
-0.05708128213882446,
-0.6742329001426697,
0.08614480495452881,
0.32134321331977844,
0.2643883228302002,
-0.4807346761226654,
-0.6787371635437012,
0.04686401039361954,
0.07553593814373016,
-0.30424922704696... |
Detailed Instructions: Given a sentence, generate a new 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 ... | You would see to a performance because you bought tickets . | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.23006832599639893,
0.6291918754577637,
-0.016034506261348724,
0.05297509953379631,
0.14897482097148895,
-0.7359656095504761,
0.5074819326400757,
0.31182438135147095,
0.1619226634502411,
0.02767486870288849,
-0.4035402536392212,
0.24655809998512268,
-0.5431435108184814,
0.343497842550277... |
Q: In this task, you are given a question in Persian, and your task is to translate it into English.
چگونه Manish Sisodia تا دسامبر ۲۰۱۶ به عنوان وزیر آموزش و پرورش دهلی فعالیت کرده است؟
A: | How has Manish Sisodia performed as Delhi's Education Minister, till December 2016? | 7 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-1.0529859066009521,
0.5080428719520569,
0.7619023323059082,
-0.39701205492019653,
-0.40929877758026123,
-0.7285771369934082,
0.5818524360656738,
0.2854501008987427,
-0.260742723941803,
-0.08926034718751907,
1.1684083938598633,
-0.18680956959724426,
-0.2958614230155945,
0.6916390061378479,... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Q: 3881 @... | 32542 | 4 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.26296812295913696,
0.37859535217285156,
-1.2476959228515625,
0.190769225358963,
-0.5263465642929077,
-0.2521798610687256,
0.49681007862091064,
1.4223493337631226,
0.7315293550491333,
0.1328357458114624,
-0.554883599281311,
-0.4948779046535492,
0.3128882050514221,
0.17839139699935913,
... |
Q: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
最新のランキングではマチルダスはＦＩＦＡにより８位にランクされている。
A: | ມາຕິດາຖືກຈັດໃຫ້ເປັນອັນດັບ 8 ໃນການຈັດອັນດັບຄັ້ງຫຼ້າສຸດໂດຍຟີຟາ. | 7 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
-0.0006841677241027355,
-0.16179995238780975,
-0.7816756963729858,
-0.5494306087493896,
0.27588215470314026,
-0.5340839624404907,
0.3862578868865967,
0.0965823084115982,
-0.12073604762554169,
-0.3909025192260742,
-0.7110658288002014,
0.34541115164756775,
-0.7559778690338135,
0.576362431049... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
One example: The sound seems really good but sometimes it cuts in and out which is annoying.... | Good Review | 6 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.44984760880470276,
-0.10286367684602737,
-0.7229345440864563,
0.5840194225311279,
0.4285941421985626,
-0.9327642917633057,
0.47000518441200256,
0.8716659545898438,
-0.7375524044036865,
0.6863023638725281,
-0.13485361635684967,
0.24789775907993317,
-0.016176480799913406,
-0.4189286231994... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | pushing on the pedals of a bicycle cause that bicycle to move.
| 1 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.7957123517990112,
0.14214670658111572,
-1.2288017272949219,
1.096609115600586,
-0.18312105536460876,
-1.3344190120697021,
0.024931825697422028,
1.3519891500473022,
-0.6180827021598816,
-0.0019456509035080671,
-0.93389892578125,
0.7486264705657959,
-0.3750888407230377,
0.00268989568576216... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Q: Sentence-1: if we don't have to read too many too often.<sep>Sentence-2: I would be interested in a fantasy book club .
A: | Yes | 9 | NIv2 | task566_circa_classification | zs_opt | [
-0.6919740438461304,
0.20966888964176178,
0.42583683133125305,
-0.2930278182029724,
-0.17822960019111633,
-0.9566437005996704,
1.0845860242843628,
-0.38537701964378357,
0.13137716054916382,
0.027760274708271027,
0.07254642993211746,
-0.8352651000022888,
-1.1223710775375366,
0.1639762222766... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of l... | [7560, 912, -46, 34, 0, -6, 20, 0] | 1 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.24224679172039032,
0.4596652388572693,
-0.3639681935310364,
0.187728151679039,
0.2830968499183655,
0.1726255863904953,
0.8510555624961853,
0.2656444311141968,
0.09271930158138275,
-0.08434084802865982,
-0.8552560806274414,
-0.0838334858417511,
-0.41324061155319214,
-0.47334083914756775,... |
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. ... | jump opposite left twice after run around left twice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.11112036556005478,
0.775728702545166,
-0.4119112193584442,
0.07166040688753128,
-0.16571587324142456,
0.3416200280189514,
0.1405547559261322,
0.5005792379379272,
-0.31782037019729614,
-0.1754847913980484,
-0.9166783094406128,
-0.3116554617881775,
-0.6696267127990723,
0.006367713212966919... |
Detailed Instructions: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then... | 7209 | 8 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.2571830451488495,
0.4660331606864929,
-0.4875408709049225,
-0.3550947308540344,
-0.048857755959033966,
0.2250865250825882,
0.6302450895309448,
0.008789710700511932,
-0.5933765172958374,
0.005457659251987934,
-1.1255929470062256,
-0.10525757819414139,
-0.04488200321793556,
0.023474080488... |
Q: 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.
Plants have ____ and four way branching carying sixteen buds.
A: | three | 7 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.0474916510283947,
0.9076826572418213,
-0.23690378665924072,
-0.5036619901657104,
-0.21353450417518616,
-1.1783323287963867,
0.4639085531234741,
0.05947847664356232,
0.0001537920325063169,
-0.12358854711055756,
-0.23144757747650146,
-0.19443927705287933,
-0.7501818537712097,
-0.070059455... |
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".
Example Input: Bulgarian: 1., English: EC-Morocco Euro-Mediterranean Agreement (accession of Bulgari... | no
| 3 | NIv2 | task273_europarl_classification | fs_opt | [
-0.45209917426109314,
0.36595839262008667,
0.7758128643035889,
0.21940478682518005,
0.45062753558158875,
-0.3747095763683319,
0.7826788425445557,
0.2730928063392639,
0.782348096370697,
-0.28814247250556946,
-0.29022830724716187,
0.6188774704933167,
-0.46383047103881836,
0.1818806529045105,... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables... | walter stepped in puddle >Causes/Enables> walter forgot about shoes | 3 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.29447856545448303,
0.9963822960853577,
-0.562603235244751,
0.42505496740341187,
0.2174779623746872,
-0.41387277841567993,
0.2107071727514267,
1.0871543884277344,
0.1458483189344406,
-0.3435378670692444,
-0.1891876608133316,
0.562532901763916,
-0.46391531825065613,
-0.6019642949104309,
... |
instruction:
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
question:
Question: Solvation involves surrounding ions with what? Answer: solvent particles
answer:
Solvation involves surrounding ... | Chromosomal alterations are mutations that change chromosome structure.
| 9 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.2326422482728958,
0.6360280513763428,
-0.7718864679336548,
-0.3529437780380249,
-0.20941343903541565,
-0.9439965486526489,
0.09835885465145111,
0.278602659702301,
-0.16884291172027588,
0.001278783893212676,
-0.26007646322250366,
-0.5379832983016968,
-0.21776898205280304,
-0.1496479511260... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Output: No
| 2 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.6745985746383667,
0.25095629692077637,
-0.03918730840086937,
0.3715909719467163,
-0.2322787642478943,
-0.7415493726730347,
1.1675751209259033,
0.9847697019577026,
-0.2864951491355896,
-0.1099546030163765,
-0.6246193051338196,
0.04541497677564621,
-1.12650728225708,
-0.14298368990421295,
... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Solution: Het toevoegen van een kolom van getallen is voor het uitzoeken hoeveel je geniet. | 5 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.48362064361572266,
0.8286348581314087,
-0.27694666385650635,
-0.1338057518005371,
-0.13244253396987915,
-0.7509773969650269,
0.39955443143844604,
0.9136093258857727,
0.28391966223716736,
-0.2225409597158432,
-0.7806041240692139,
0.27167391777038574,
-0.8782568573951721,
0.11359003186225... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | The little boy feel(s) cold >Motivates> The little boy wears his new blue jacket | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.13839350640773773,
-0.26321062445640564,
-0.08124224841594696,
0.33371701836586,
-0.059700313955545425,
-0.4200167655944824,
0.1634143441915512,
0.6667914390563965,
-0.10668385028839111,
0.25774648785591125,
-0.7450388073921204,
-0.011191366240382195,
0.1038793995976448,
-0.272298455238... |
Instructions: In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
Input: ۹ میلیون و ۱۵۲ هزار و ۷۵۱ نفر دارنده سهام عدالت تا ساعت ۲۴ هشتم خردادماه امسال فرصت دارند تا تصمیم بگیرند که قصد دارند سهام عد... | سامانه سهام عدالت به نشانی samanese.ir | 3 | NIv2 | task467_parsinlu_rc_answer_generation | zs_opt | [
-1.114189624786377,
0.5095497369766235,
-0.18248170614242554,
-0.4312424659729004,
-0.8674107193946838,
1.0049006938934326,
1.2286550998687744,
-0.06734053790569305,
0.2736586928367615,
0.45850279927253723,
-0.14694622159004211,
0.7163419723510742,
0.08635212481021881,
-0.22003072500228882... |
Definition: 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'.
Inp... | B | 2 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.32130199670791626,
0.18222832679748535,
-0.12884017825126648,
-0.12802524864673615,
-0.07446470856666565,
-0.19420450925827026,
0.43712353706359863,
0.09765425324440002,
0.1135501116514206,
0.0807291567325592,
-0.6135143637657166,
-0.09977144002914429,
-0.13570965826511383,
-0.5280690789... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
question:
Cos'è il vostro barbiere?
answer:
¿Cuál es su barbería?
question:
Penso la conosciate molto bene.
answer:
Creo que la conocen bastante bien.
question:
Anche i miei genitori fuggirono in Pakistan e... | Mis padres también huyeron a Pakistán, y se establecieron en Quetta, donde nací.
| 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5882024765014648,
0.9637308120727539,
-0.6999830007553101,
0.25376832485198975,
-0.6142498254776001,
-0.8543583750724792,
0.3426693081855774,
1.051079273223877,
0.19536536931991577,
-0.22027212381362915,
-0.5932676792144775,
0.6858401298522949,
-0.9685698747634888,
0.5116491913795471,
... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
question:
Quindi una cellula è l'unità di vita più essenziale.
answer:
la unidad básica de la vida.
question:
Ma il problema culturale è ritornato fuori.
answer:
El factor cultural se había reafirmado.
ques... | Probablemente piensen, bien, no sé cual creas que sea pero creo que tiene que ver con la percepción.
| 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5478131771087646,
0.6580057144165039,
-0.5315382480621338,
0.431476354598999,
-0.4251750409603119,
-0.6211402416229248,
0.21299085021018982,
0.8545637130737305,
-0.6794748306274414,
-0.8035194873809814,
-0.49947261810302734,
0.5224514007568359,
-0.16223806142807007,
0.5326718091964722,
... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Neutral
| 5 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
0.3106561005115509,
-0.2233632504940033,
-0.5622004866600037,
0.3303152918815613,
0.5995209217071533,
-0.9480896592140198,
0.7447460889816284,
0.7238140106201172,
0.013175588101148605,
0.32150086760520935,
0.3060154318809509,
0.45872414112091064,
-0.3017845153808594,
0.135496586561203,
-... |
Teacher: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? If you are still ... | 3 | 2 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.09698249399662018,
0.4102199673652649,
-0.6070364713668823,
-0.013070160523056984,
0.5695093870162964,
-0.16283565759658813,
0.7672960758209229,
1.2606768608093262,
0.02300502359867096,
0.20813624560832977,
0.0505506657063961,
0.2794026732444763,
-0.3715822696685791,
0.004055195488035679... |
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 short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in ele... | elementary | 0 | NIv2 | task1712_poki_classification | fs_opt | [
0.436732679605484,
0.762199878692627,
0.1452334225177765,
-0.4191316068172455,
-0.27866458892822266,
-0.5629098415374756,
0.5351115465164185,
0.4066935181617737,
0.20915216207504272,
-0.892677903175354,
-0.2416972815990448,
0.048349566757678986,
-0.18680575489997864,
-0.09156384319067001,
... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | True
****
| 4 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.9861774444580078,
-0.22415444254875183,
-0.0990513265132904,
0.19886994361877441,
0.31354010105133057,
-0.490730881690979,
1.007922649383545,
0.8216517567634583,
-0.3977174460887909,
0.21801739931106567,
0.057489387691020966,
-0.19023290276527405,
-0.5521680116653442,
0.14718814194202423... |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have... | Yes | 7 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.2597253918647766,
0.5250832438468933,
0.5219186544418335,
-0.14553776383399963,
-0.42220309376716614,
-1.267103672027588,
0.8978033065795898,
0.4657590389251709,
-0.5449843406677246,
-0.32773885130882263,
-0.33742356300354004,
-0.3295958638191223,
-0.6473517417907715,
-0.1106099933385849... |
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.
--------
Question: Comment: Right you are... he ended up not being cha... | Non-sexual-explicit
| 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.020603878423571587,
-0.4074990153312683,
0.09290390461683273,
0.13797441124916077,
0.14605334401130676,
0.069276824593544,
0.07466158270835876,
1.2062866687774658,
0.2833287715911865,
0.6132262945175171,
0.358933687210083,
0.49299365282058716,
-0.4922350347042084,
-0.8564944267272949,
... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
--------
Question: Context: Yoruba ("") is a language spoken in West Africa, mainly in Nigeria.
Th... | member of the rajya sabha
| 7 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.8552880883216858,
0.1143353283405304,
-0.5604898929595947,
0.2634093761444092,
0.5684796571731567,
0.06709480285644531,
0.23903176188468933,
0.8537935614585876,
-0.007662620395421982,
-0.7290017604827881,
-0.10462450981140137,
0.7130444049835205,
-0.5788331627845764,
0.25268980860710144,... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Eso funcionó para los Atléticos de Oakland, y funcionó en el estado de Nueva Jersey.
A: | Udało się w przypadku Oakland A i udało się w stanie New Jersey. | 9 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
0.6110786199569702,
1.105835199356079,
-1.2622790336608887,
0.7138611078262329,
-0.1127929836511612,
-0.7377181053161621,
0.2813539505004883,
0.10105329751968384,
0.15032772719860077,
-0.016051750630140305,
-0.07988706231117249,
0.39529937505722046,
-0.5536623597145081,
0.06704770773649216... |
Detailed Instructions: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating ... | Which gender is Britt Synnøve Johansen? | 8 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.13347920775413513,
0.6014567613601685,
-0.5210145711898804,
-0.08633285760879517,
0.026168163865804672,
-0.02493542805314064,
-0.025268282741308212,
-0.2820900082588196,
0.0047716014087200165,
0.04842805862426758,
-0.2207157462835312,
0.579547107219696,
-1.0555915832519531,
0.0719509348... |
You will be given a definition of a task first, then some input of the task.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: THE SW... | bilbo baggins | 1 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.37783190608024597,
1.058239459991455,
-0.29168274998664856,
-0.6652514934539795,
-0.1329050362110138,
-0.13741865754127502,
1.0170345306396484,
-0.16470924019813538,
-0.12878045439720154,
-0.3872143626213074,
-0.5106566548347473,
-0.3486914038658142,
-0.7763181924819946,
0.0383118949830... |
Q: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
WASHINGTON — The United States has killed 119 civilians in Iraq and Syria since it began military operations against the Islamic State there in 2014, military officials said Wednesday.
In... | US Central Command says airstrikes in Iraq and Syria have killed at least 64 civilians during the past year, more than doubling the number of civilian deaths since renewed operations began in 2014, reports the Washington Post. On Wednesday, the Department of Defense released an official statement describing the review ... | 7 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.4802411198616028,
0.20028646290302277,
-0.5821932554244995,
-0.44143250584602356,
1.011162519454956,
-0.024751540273427963,
1.0921344757080078,
0.9899531006813049,
-0.15077723562717438,
0.7881863117218018,
-0.09865696728229523,
0.472221314907074,
-0.35438892245292664,
0.2510274350643158,... |
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'.
Input: Conside... | Output: C
| 2 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.5467259287834167,
0.0825035572052002,
-0.1106947585940361,
0.028425734490156174,
0.3919072151184082,
-0.63926762342453,
0.6506896615028381,
0.7055245637893677,
-0.12469550222158432,
-0.06479940563440323,
-0.2528722286224365,
0.22300051152706146,
0.33428657054901123,
-0.10888835787773132,... |
Detailed Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
See one example below:
Problem: Membership of Parliament: see Minutes
Solution: Състав на Парламента: вж. протоколи
Explanation: English sentence is converted... | Report: Guntars Krasts | 4 | NIv2 | task272_europarl_translation | fs_opt | [
0.33654308319091797,
0.6390079259872437,
-0.13048848509788513,
-0.12204990535974503,
0.054972387850284576,
-0.8156952857971191,
1.0236026048660278,
-0.20407801866531372,
0.5860013961791992,
0.010605424642562866,
-0.19306913018226624,
1.1408820152282715,
-0.4667578935623169,
0.2535786330699... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Let me give you an example: We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The... | Variational Boosting: Iteratively Refining Posterior Approximations | 8 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
0.06155109405517578,
0.6718126535415649,
0.33143675327301025,
0.16972506046295166,
-0.08454907685518265,
0.028454693034291267,
1.3545467853546143,
1.0269622802734375,
0.2834092676639557,
0.16143523156642914,
-0.6101632714271545,
0.18990370631217957,
-0.8038884401321411,
0.3167229890823364,... |
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