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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Nu... | Alphabets Win
| 8 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.033464640378952026,
0.35819530487060547,
-0.70843905210495,
0.026840507984161377,
-0.23316892981529236,
-0.06811846792697906,
0.628324031829834,
0.26846790313720703,
-0.6480947136878967,
0.3882415294647217,
-0.9075718522071838,
0.027115512639284134,
-0.22571086883544922,
0.18918463587760... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: Today we welcomed a beauti... | who stepped up to help james host the show? | 4 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.2033039629459381,
0.5166435837745667,
0.04794709384441376,
-0.11689524352550507,
0.05479435622692108,
-0.6145442724227905,
-0.11069445312023163,
-0.43204963207244873,
0.845923900604248,
-0.15503326058387756,
-0.5778443813323975,
0.6732561588287354,
-0.20762918889522552,
-0.0309482160955... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Problem:Uwielbiamy go.
Solution: | Quiero decir, amamos nuestros sistemas visuales. Hacemos todo tipo de cosas interesantes. | 8 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.7208163142204285,
0.8533577919006348,
-0.2364935427904129,
0.41264283657073975,
0.060823190957307816,
-0.2315765917301178,
0.3600403666496277,
-0.4322878420352936,
0.2072901576757431,
-0.45173129439353943,
-0.14766308665275574,
0.13199478387832642,
-0.02836201712489128,
0.25316578149795... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | Yes | 5 | NIv2 | task1208_atomic_classification_xreason | zs_opt | [
0.26939690113067627,
0.4423016309738159,
0.27656108140945435,
0.035787537693977356,
-0.37340712547302246,
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0.9387000799179077,
0.406555712223053,
-0.4571605920791626,
-0.07989094406366348,
-0.6116253733634949,
-0.07842308282852173,
-0.7166341543197632,
0.098517134785652... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a ... | A | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.1045677587389946,
-0.04381845146417618,
0.3516811728477478,
-0.6455346345901489,
0.32741260528564453,
-0.12386426329612732,
0.41642409563064575,
0.5631812810897827,
0.08251261711120605,
-0.05508748069405556,
-0.5495150089263916,
-0.46114444732666016,
0.1815868765115738,
-0.35003900527954... |
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 seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 6 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.07636657357215881,
-0.3942441940307617,
-0.001966088078916073,
0.4445841312408447,
0.20802438259124756,
-0.03516919165849686,
0.42670273780822754,
1.1736842393875122,
-0.210333913564682,
0.5335562229156494,
-0.6981867551803589,
-0.2941631078720093,
-0.398197740316391,
-0.4120670855045318... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Scotch whisky (Scottish Gaelic: uisge-beatha na h-Alba; often simply called S... | Yes | 1 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.2467782199382782,
1.2323867082595825,
-0.24984604120254517,
-0.373559832572937,
0.04730887711048126,
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1.0320289134979248,
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0.4284575581550598,
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0.02565012127161026,
0.41196542978286743,
-0.3096688985824585,
0.33898988366127014,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed.... | Original | 5 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.0309758186340332,
1.1485921144485474,
0.5400698184967041,
-0.08835512399673462,
-0.0868433266878128,
-0.41026923060417175,
0.07499250024557114,
1.0051671266555786,
0.054670222103595734,
-0.8036532402038574,
-0.8940455913543701,
-0.25002938508987427,
-0.659491240978241,
-0.29599177837371... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.5253809690475464,
1.1565462350845337,
0.6813246011734009,
-0.46784090995788574,
-0.3945389986038208,
-0.9931544065475464,
0.4140397310256958,
0.8793158531188965,
-0.09670739620923996,
-0.5312555432319641,
-0.6248490214347839,
-0.3843861520290375,
-0.9676622152328491,
0.01205712743103504... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Example input: 5 + 3
Example output: 2
Example explanation: Here, '+' represen... | 3334 | 3 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.15876168012619019,
0.0022520623169839382,
-0.7588543891906738,
0.8820356130599976,
0.007669050246477127,
-0.1967121958732605,
0.6644423007965088,
1.5102484226226807,
0.5783214569091797,
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-0.42943114042282104,
-0.6324387788772583,
-0.26206523180007935,
0.2834782898426... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | No | 9 | NIv2 | task227_clariq_classification | zs_opt | [
-0.6847703456878662,
0.13778063654899597,
-0.00466432049870491,
-0.3009290099143982,
-0.15562765300273895,
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0.6255611777305603,
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0.2583858370780945,
0.4874708950519562,
-0.02216901257634163,
-0.32890069484710693,
0.0928987711668014... |
Instructions: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Input: VATICAN CITY (AP) â Pope Francis on Saturday advised against making the pursuit of money a career or success the basis... | Pope Francis Epiphany | 3 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.15680041909217834,
0.44600021839141846,
-0.7196062803268433,
0.1344907283782959,
-0.36020952463150024,
-1.0403591394424438,
0.950253427028656,
0.8253438472747803,
0.24517686665058136,
0.278065025806427,
-0.019000891596078873,
1.5838069915771484,
-0.9365825653076172,
-0.16250824928283691,... |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Q: Akano was part o... | Damm | 4 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
0.15475723147392273,
0.7625346183776855,
-0.07925958931446075,
0.06729806959629059,
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1.3036935329437256,
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0.2143660932779312,
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-0.6050970554351807,
0.3943135142326355,
-1.3641258478164673,
0.1443711519241333,... |
Teacher: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
In 1582 the united provinces invited francis, duke of anjou to lead them; but after a faile... | What label was responsible for This Is Jackie DeShannon? | 2 | NIv2 | task470_mrqa_question_generation | fs_opt | [
0.6273651719093323,
0.7558321952819824,
-0.24158093333244324,
-0.17324478924274445,
0.36778491735458374,
0.013632740825414658,
-0.3026159703731537,
0.04305035620927811,
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-0.025731105357408524,
0.27200472354888916,
0.15221360325813293,
-0.8890664577484131,
0.15526667237... |
Given the task definition and input, reply with output. 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 t... | You would seek a phone package because you stop to talk to someone . | 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.44628363847732544,
0.959525465965271,
0.2659049928188324,
-0.36646831035614014,
-0.09058207273483276,
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0.6606652736663818,
0.3578832745552063,
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-1.1198965311050415,
0.1297735720872879,
-0.6157355308532715,
0.18439523875713348... |
Definition: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sen... | ironic | 2 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.35805344581604,
0.23216977715492249,
0.5441949367523193,
0.1984589695930481,
-0.6303336024284363,
0.09084540605545044,
0.8934683799743652,
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0.7608728408813477,
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-0.5668691396713257,
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... |
Definition: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account @anonymized_account Bardziej przesiąknięty AntyWisłą niż Cracovią :P , Question: Does the tweet contain cyberbullying (harmful) content?
Output: | No | 2 | NIv2 | task839_cdt_classification | zs_opt | [
-1.1715025901794434,
1.2250741720199585,
0.587478518486023,
0.5762723684310913,
-0.7428802847862244,
-0.8406583070755005,
0.7346305847167969,
-0.30012574791908264,
0.4347953200340271,
0.3522205054759979,
-0.1304394006729126,
0.23985373973846436,
-0.7334462404251099,
-0.5030100345611572,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further in... | a | 1 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.7187625169754028,
0.6031113862991333,
-0.40938034653663635,
0.10139909386634827,
0.41702115535736084,
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1.1455111503601074,
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0.04107493534684181,
-0.040561653673648834,
-0.09611158072948456,
-0.2729804515838623,
0.046773839741945... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: મંત્રીમંડળે જલિયાવાલા બાગ રાષ્ટ્રીય સ્મારક ધારા, 151માં સંશોધનને મંજૂરી આપી
Student: | جلیانوالاباغ قومی میموریل ایکٹ 1951میں ترمیم کو کابینہ کی منظوری | 6 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
0.04408837854862213,
0.6286698579788208,
-0.08625160157680511,
-0.6574446558952332,
-0.08913567662239075,
-1.0265883207321167,
0.5066176652908325,
-0.17487075924873352,
-0.2527710199356079,
-0.7124897241592407,
-0.18327052891254425,
-0.7204102277755737,
-0.5758972764015198,
-0.033623531460... |
Detailed Instructions: Given a sentence in Vietnamese, generate a new Vietnamese 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 r... | Ở nhà hàng, anh sẽ chọn cái váy. | 9 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.09958935528993607,
-0.019349928945302963,
0.02865244448184967,
-0.3621705174446106,
-0.19527511298656464,
-0.14369332790374756,
0.904285192489624,
1.2001051902770996,
0.23326638340950012,
0.1459423303604126,
-0.04901231825351715,
-0.09884322434663773,
-0.3485053777694702,
0.506900072097... |
Instructions: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: " Then when Tim heard you come through the door, he fr... | Present | 3 | NIv2 | task429_senteval_tense | zs_opt | [
-0.427345871925354,
0.7497405409812927,
0.49410539865493774,
0.4054047167301178,
-0.01571212336421013,
-0.2924557030200958,
0.17119640111923218,
0.7173500657081604,
0.12869581580162048,
0.29642611742019653,
-0.5670126676559448,
0.09439012408256531,
-0.3014748990535736,
-0.20614713430404663... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Q: name a place where you often find an elevator.
A: | hotel | 4 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.10314411669969559,
1.234454870223999,
-0.2671635150909424,
-0.18843697011470795,
-0.3025912642478943,
-0.37376636266708374,
0.15412496030330658,
0.23771071434020996,
0.8490331172943115,
0.053534992039203644,
-0.15330857038497925,
0.3174314498901367,
-1.0005911588668823,
0.55280804634094... |
Definition: 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.... | Yes | 2 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.024250032380223274,
0.009719067253172398,
0.5523533225059509,
0.016601629555225372,
-0.585884153842926,
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0.603926420211792,
0.34569841623306274,
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-0.5599262118339539,
-0.5730156302452087,
-0.45656830072402954,
-0.1750978529453... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
This is a wond... | 5 | 5 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.32051801681518555,
-0.37150707840919495,
0.4593033492565155,
0.11424967646598816,
0.43937942385673523,
-0.5990874767303467,
0.4492607116699219,
0.49559974670410156,
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0.2561810612678528,
-0.40678149461746216,
-0.7087643146514893,
-1.0308305025100708,
-0.2591630220413... |
Definition: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are anima... | man | 2 | NIv2 | task1518_limit_answer_generation | zs_opt | [
-0.3466304540634155,
0.5251370668411255,
0.09392653405666351,
0.30324840545654297,
-0.3095718026161194,
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0.3562067747116089,
0.17401891946792603,
0.16399738192558289,
-0.07568532228469849,
-1.3081250190734863,
-0.23969151079654694,
-0.5518066883087158,
-0.14560648798942... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Die Wirkung des Backens eines Kuchens ist es, Kuchen Teig in eine fertige Pizza zu verwandeln. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
0.195328950881958,
0.9018555283546448,
0.33630087971687317,
-0.7056068181991577,
0.18610194325447083,
0.3379553258419037,
0.6477735042572021,
1.2617661952972412,
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-0.428845077753067,
-0.2861969769001007,
-1.0531527996063232,
0.1823510080575943,
-0... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE prisoner
| 5 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.0737810730934143,
0.5948396325111389,
-0.46131107211112976,
0.11193366348743439,
-0.20252712070941925,
-0.6796218156814575,
1.3399136066436768,
0.9944939017295837,
0.13050907850265503,
0.058075323700904846,
-0.23524367809295654,
0.5718128681182861,
-0.5247349739074707,
-0.017255948856472... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Example: सुरुवातीला पोषण दिसून येणार नाही, मात्र हळू-हळू गती येईल
Example solution: Initially Nutrition will not be seen, but slowly slowly
Example expla... | Solution: He accepted shri Gadkaris suggestion for new reclamation and assured for needful action. | 5 | NIv2 | task1086_pib_translation_marathi_english | fs_opt | [
0.020424136891961098,
0.6502840518951416,
0.444286048412323,
-0.17807243764400482,
-0.24313098192214966,
-0.8714872002601624,
0.38232606649398804,
1.039376974105835,
-0.16295664012432098,
0.11008656024932861,
0.03403657674789429,
-0.6193272471427917,
-0.8046897649765015,
0.2899738550186157... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Problem:אז יש לכם את הגברות עם הכובעים האדומים כאן.
Solution: | لديك مجموعة من السيدات اصحاب القبعات الحمراء هنا | 8 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.6051994562149048,
0.19359257817268372,
-0.46060100197792053,
-0.7393213510513306,
-0.5526214838027954,
0.2229350358247757,
0.6618101596832275,
0.35859817266464233,
0.9229876399040222,
-0.18477609753608704,
-1.040004014968872,
-0.37719452381134033,
-0.5927255153656006,
0.2301920652389526... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | No | 2 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.32316017150878906,
0.1490052044391632,
0.3449971675872803,
-0.2529565095901489,
-0.5952387452125549,
-0.7304452657699585,
1.2227966785430908,
-0.06517601013183594,
-0.36949682235717773,
-0.3680950999259949,
-0.4613375663757324,
-0.3932982385158539,
-0.9054888486862183,
0.5498853325843811... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | Output: -98.655
| 2 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.3038924038410187,
0.25163471698760986,
-0.25922131538391113,
0.4962880611419678,
0.16663268208503723,
-0.5586971044540405,
0.8899695873260498,
1.1075959205627441,
0.22135029733181,
-0.06874527037143707,
-0.4833957552909851,
-0.008900418877601624,
-0.10836581885814667,
-0.1228800714015960... |
Teacher:In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question... | Teaching position. | 6 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.4216495454311371,
0.2735280990600586,
-0.6032114028930664,
-0.408139705657959,
0.19565913081169128,
-0.9844123721122742,
-0.09500320255756378,
0.42675304412841797,
0.38989347219467163,
0.25268131494522095,
-0.3025244474411011,
0.8135988712310791,
-1.1582465171813965,
-0.19827160239219666... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
--------
Question: Así que realmente podemos cambiar as cousas.
Answer: Portanto nós conseguimos mesmo fazer mudanças.
Question: e, para iso, necesitan unha educación occidental.
Answer: E para isso, elas precisam d... | Talvez um de nós esteja errado acerca do errado.
| 7 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.4916616678237915,
1.0806608200073242,
0.7682486176490784,
-0.7005279064178467,
-0.552298903465271,
-2.0974063873291016,
-0.24521619081497192,
1.4150340557098389,
-0.16813330352306366,
-0.016000734642148018,
-0.15711790323257446,
0.27401456236839294,
-0.7048206329345703,
-0.1366828978061... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Problem:هو يقضي الكثير من وقته هنا
Solution: | He put in a lot of time here. | 8 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.3627607524394989,
0.45175427198410034,
-0.056742869317531586,
-0.8647983074188232,
-0.16612401604652405,
-0.19986939430236816,
0.5133774280548096,
0.1940450817346573,
0.5604025721549988,
-0.2112729549407959,
-0.48354876041412354,
0.10254137217998505,
-0.6054298877716064,
0.27779236435890... |
Definition: In this task, you are given music product reviews in French 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.
Input: Mauvais . Pas d'accord avec nos amis Luc et Ramone, ce double cd remaste... | NEG | 2 | NIv2 | task484_cls_french_music_classification | zs_opt | [
0.09801127761602402,
0.372065931558609,
-0.48968738317489624,
0.028879476711153984,
0.35195857286453247,
-0.19927102327346802,
1.1197527647018433,
-0.3453936278820038,
0.4141961932182312,
0.6732113361358643,
-0.8732396364212036,
-0.2726926803588867,
0.36230695247650146,
-0.1714480370283126... |
Teacher:In this task, you need to count the number of words in a sentence that contain the given letter
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a bus full of people are sitting at a bus stop'. How many words contain the letter 'z' in the sentence.
Student: | 0 | 6 | NIv2 | task161_count_words_containing_letter | zs_opt | [
0.1601068377494812,
0.47153666615486145,
-0.06753222644329071,
-0.5955896377563477,
-0.06893263757228851,
-0.21431075036525726,
0.1803152710199356,
-0.29090362787246704,
0.2613062858581543,
-0.4889446496963501,
-0.290884405374527,
-0.8390588760375977,
0.2196512669324875,
-0.322096407413482... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.2299574613571167,
0.595613420009613,
0.040038660168647766,
-0.1877174973487854,
-0.7658349275588989,
-0.5790420770645142,
1.2498542070388794,
0.7853531837463379,
-0.3842032551765442,
-0.4535563290119171,
-0.3096933960914612,
-0.2123841792345047,
-0.5487006902694702,
0.24253705143928528,
... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
One example: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on... | yes | 6 | NIv2 | task1587_scifact_classification | fs_opt | [
0.398440957069397,
-0.264884352684021,
-0.6055619120597839,
0.7115069627761841,
1.034851312637329,
0.022027824074029922,
0.31849098205566406,
0.6865179538726807,
-0.15328681468963623,
-0.04573431238532066,
-0.6477119326591492,
0.024243490770459175,
-0.8570286631584167,
0.30808258056640625,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Example solution: وقتی به این جامعه های در حال توسعه می روید زنها رکن ... | Solution: این عمل 160 بار در ثانیه انجام می شود ، و اگر چیزی در این روند درست کار نکند ، ریزیرو (Rezero) بلافاصله به زمین می افتد. | 5 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.197733759880066,
1.0599128007888794,
-0.19112032651901245,
-0.6244170665740967,
-0.10410571098327637,
-0.1873563975095749,
1.143474817276001,
0.7757343053817749,
-0.4014682173728943,
-0.0722685307264328,
-1.6247130632400513,
0.35566461086273193,
-0.847133994102478,
0.3215866684913635,
... |
Q: In this task your given two statements in Turkish. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Otobüsü kaçırdım.
İşe geç kaldım.
A: | effect | 7 | NIv2 | task1181_xcopa_commonsense_cause_effect_tr | zs_opt | [
-0.9010998010635376,
0.44104140996932983,
-0.00518643157556653,
-0.49879390001296997,
-0.16297569870948792,
0.2239605337381363,
0.479450523853302,
0.03786664456129074,
0.673014760017395,
-0.004112359136343002,
-0.4316038489341736,
0.46583643555641174,
-0.7562727928161621,
0.423577815294265... |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given par... | 0 | 4 | NIv2 | task1584_evalution_meronym_classification | zs_opt | [
-0.3880835473537445,
0.9258385896682739,
-0.21000850200653076,
-0.03786453977227211,
0.23469562828540802,
-1.0589299201965332,
1.1058467626571655,
0.46060770750045776,
-0.14795276522636414,
-0.38108107447624207,
-0.4100569486618042,
0.6967185139656067,
-0.5612016916275024,
0.25740867853164... |
Q: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: If they do not, they will be required to take it up by September 16th.
Hindi... | No | 7 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.32468414306640625,
-0.17959371209144592,
0.8728950023651123,
0.35816794633865356,
-0.17973226308822632,
-1.1371691226959229,
-0.647405743598938,
0.2901385426521301,
-0.27130910754203796,
0.07684086263179779,
0.23466289043426514,
-0.35918763279914856,
0.3037753701210022,
0.21468901634216... |
Given the task definition and input, reply with output. In this task you're given two statements in Marathi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect' .
मी फरशीवर घसरलो.
टाइल ओली ह... | cause | 5 | NIv2 | task943_copa_mr_commonsense_cause_effect | zs_opt | [
-0.7016295790672302,
0.5594851970672607,
0.14016655087471008,
-0.24811631441116333,
-0.3362342417240143,
-0.4911155700683594,
0.010840307921171188,
0.9023038744926453,
0.33770692348480225,
-0.4280909299850464,
-1.1190110445022583,
-0.4250960946083069,
-0.5583200454711914,
0.168028414249420... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | 97.629
****
| 4 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.12495787441730499,
0.3412415385246277,
0.09253078699111938,
0.31372153759002686,
0.06225304305553436,
-0.33267349004745483,
0.7431784272193909,
1.2011404037475586,
0.09664662927389145,
-0.3242287337779999,
-0.6691409349441528,
-0.16223861277103424,
-0.04566437005996704,
0.096831500530242... |
Given the task definition and input, reply with output. Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracket... | [Je Ne Sais Quoi Barbie Doll] is of what category? | 5 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.4631772041320801,
-0.1728755533695221,
-0.182672381401062,
0.8416888117790222,
-0.1730133444070816,
-0.13539841771125793,
0.5690441727638245,
0.7355421781539917,
-0.45370325446128845,
-0.09714807569980621,
-0.54933762550354,
0.45968925952911377,
-0.030245225876569748,
-0.0437677614390850... |
Given the task definition and input, reply with output. Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting... | no | 5 | NIv2 | task472_haspart_classification | zs_opt | [
-1.0086708068847656,
0.7438664436340332,
0.8104279041290283,
-0.17870448529720306,
-0.08302050828933716,
-0.3135172426700592,
0.10325969010591507,
0.5472260117530823,
0.3717780113220215,
-0.47633546590805054,
-0.6579054594039917,
-0.15347756445407867,
-0.40666455030441284,
0.12597668170928... |
Instructions: In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Input: I am female. My gym has an indoor track. It is narrow in some places but 3 people can easil... | WRONG | 3 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
-0.2383894920349121,
-0.007817649282515049,
-0.043202899396419525,
0.08172212541103363,
-0.007254757918417454,
-0.8196761012077332,
-0.44789212942123413,
0.253356397151947,
-0.03628022223711014,
-0.3897472023963928,
-0.5046710968017578,
0.07390789687633514,
-0.5044504404067993,
-0.25382122... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example Input: The European institutions should follow the example of a number of countries, most notably the ... | (NL) Señor Presidente, gracias por concederme la oportunidad de entrar en detalle sobre las diferentes enmiendas y en el transcurso de mi intervención me gustaría decir también algo a Lord Inglewood con respecto a la observación que acaba de hacer.
| 3 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
0.2811376750469208,
0.4359600841999054,
0.5467694997787476,
-0.36265408992767334,
0.2920677661895752,
-1.0577926635742188,
0.12795670330524445,
0.3598335385322571,
-0.405488520860672,
0.03743975609540939,
-0.21418476104736328,
0.38016510009765625,
-0.5545265674591064,
-0.6380358934402466,
... |
Part 1. Definition
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Answe... | 25年という年月を、骨の髄まで、魂で、感じていると彼女は聴衆に語った。 | 7 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.47756826877593994,
0.5250252485275269,
-0.5020967721939087,
0.433308482170105,
-0.15694944560527802,
-0.7255487442016602,
0.53135746717453,
0.2536104917526245,
0.24414384365081787,
-0.7820873260498047,
-0.9325337409973145,
0.8119001388549805,
-0.929355800151825,
1.029428482055664,
0.2... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return... | Supervisor | 1 | NIv2 | task343_winomt_classification_profession_anti | fs_opt | [
-1.067911982536316,
0.73517906665802,
0.059060849249362946,
-0.5506935119628906,
0.4634193778038025,
-0.03470459580421448,
-0.2574441432952881,
0.9333157539367676,
0.661410927772522,
0.0806601420044899,
-0.8824868202209473,
-0.16880561411380768,
-0.11564166098833084,
-0.2704651653766632,
... |
Instructions: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the ... | [['w', '8'], ['w', '5'], ['8', '5']] | 3 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.08437669277191162,
0.18238671123981476,
-0.45379573106765747,
0.03978324308991432,
0.6130369901657104,
-0.23924735188484192,
0.4309923052787781,
0.39059978723526,
0.011787223629653454,
-0.08029267936944962,
-0.28242024779319763,
0.05920582264661789,
0.015996195375919342,
-0.037518445402... |
Teacher:Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media... | comic_strips | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.0463079959154129,
0.16387587785720825,
-0.09768550097942352,
-0.28895020484924316,
0.41648632287979126,
-0.45397278666496277,
0.07633112370967865,
0.4647831916809082,
0.04332414269447327,
-0.24964505434036255,
-0.0810077041387558,
-0.04776722937822342,
-0.08158726245164871,
-0.5327503681... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful | 8 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.42866796255111694,
0.11512579023838043,
0.660435676574707,
0.7712152004241943,
0.2231656312942505,
-0.9916075468063354,
0.6722582578659058,
1.0957268476486206,
0.4844358563423157,
0.3745901584625244,
0.12099900096654892,
0.11211992055177689,
-0.371174156665802,
-0.8174480199813843,
-0... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Ex Input:
Objective: The aim of this study was to further clarify clinical characteristics and predict mortality risk amo... | Epidemiology of viral respiratory infections in children undergoing heart surgery
| 1 | NIv2 | task1161_coda19_title_generation | fs_opt | [
-0.0036397024523466825,
-0.03910861909389496,
-0.7196131348609924,
0.005888659507036209,
0.7965787649154663,
-0.24044442176818848,
0.7273178696632385,
0.697404146194458,
-0.088109090924263,
0.8634299635887146,
-0.4880737066268921,
0.7362668514251709,
0.3369849622249603,
0.5149019956588745,... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation ... | weakener | 8 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
0.04453200846910477,
0.8171312808990479,
0.039046503603458405,
0.05246563255786896,
-0.15343764424324036,
-0.9893800020217896,
0.9151170253753662,
1.04323410987854,
0.1860233098268509,
-0.6082760691642761,
-1.375502586364746,
0.0008918037638068199,
-0.9644920825958252,
-0.22856050729751587... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be... | war | 9 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.4246927499771118,
0.7736325263977051,
-0.303926944732666,
-0.052688632160425186,
-0.5651290416717529,
-0.4906909465789795,
0.9429431557655334,
0.1552177369594574,
0.09934398531913757,
0.3333602845668793,
-0.21786752343177795,
0.36311161518096924,
-0.8961368799209595,
0.49915966391563416,... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Y estoy aquí para decirles que el emperador está desnudo.
Output: | E aqui estou eu para vos dizer, que "" o rei vai nú "". | 2 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.1732223480939865,
0.7870903015136719,
-0.22763913869857788,
-0.541081428527832,
-0.6832213401794434,
-0.6676962375640869,
-0.17226287722587585,
1.3189480304718018,
0.8121861219406128,
-0.025633953511714935,
-0.7955845594406128,
0.2890535593032837,
-0.6525864601135254,
0.1419560313224792... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
(CNN) -- When most people think of Miami, t... | (B) | 0 | NIv2 | task302_record_classification | zs_opt | [
0.5006059408187866,
-0.24410797655582428,
-0.3283175528049469,
-0.2289062738418579,
0.6536129713058472,
-0.3568376898765564,
0.10297753661870956,
0.602913498878479,
0.0073774466291069984,
0.2941640615463257,
0.952897310256958,
0.46532607078552246,
-0.4060683250427246,
0.3889038562774658,
... |
Definition: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: [85, -64, 1.9... | [85, -64, 18, 23] | 2 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.12161699682474136,
0.2139676809310913,
-0.5281009078025818,
-0.39146146178245544,
0.07805857062339783,
-0.37559080123901367,
0.8067275285720825,
0.20632590353488922,
0.2351146936416626,
0.25283199548721313,
-0.6477146148681641,
-0.09359438717365265,
0.2534608244895935,
-0.24734380841255... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
[Q]: Tinham que permanecer bem quietos.
[A]: Doveva essere molto silenzioso.
[Q]: E se querem mesmo um excelente hambúrguer, acontece que faz diferença se alinharem o veio.
[A]: Se davvero si vuole un ottimo hambur... | Ha anche un soprannome, l'ormone delle coccole, perché viene rilasciato quando abbracciate qualcuno.
| 5 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.2292156219482422,
0.9698690176010132,
-0.7549157738685608,
-0.2141013741493225,
-0.8323901891708374,
-0.7949837446212769,
0.3818814754486084,
0.21612195670604706,
-0.11258498579263687,
-0.28218990564346313,
-0.725053071975708,
0.1301417350769043,
-0.6211079359054565,
0.3529929220676422,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Hong Kong-based labor rights group Students & Sc... | 香港を拠点とする労働者権利グループ「企業の不正に反対する学生と研究者の会」は、彼らが3月にフォックスコンでの労働条件を評価したとき、アルミニウムの粉塵の問題を報告していたと言った。 | 9 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.3254208564758301,
-0.10476398468017578,
0.1173410713672638,
-1.0044560432434082,
0.06831073015928268,
-0.29182717204093933,
0.4492071270942688,
0.17140556871891022,
-0.2726619839668274,
0.3145037293434143,
-0.0040589626878499985,
0.12558412551879883,
-0.0435304269194603,
-0.540804147720... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
[Q]: Pero hoxe quero centrarme neste concepto de compoñer para un espazo físico.
[A]: ولكن اليوم ، أريد أن أركز على هذه الفكرة الخاصة بكتابة الموسيقى للأماكن المادية.
[Q]: Eu léolle uns a ela, ela leme outros a min "". ... | المجسات المستخدمه يمكنها الرؤيه في الظلام في الضباب وفي الأمطار.
| 5 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-1.193080186843872,
0.8625606894493103,
0.015873663127422333,
-0.7141678333282471,
-0.4811955690383911,
-0.6912809610366821,
0.73553067445755,
0.04390498995780945,
-0.0035356800071895123,
0.06413879990577698,
-0.7345626354217529,
0.08144956827163696,
-0.1347019523382187,
0.2729894518852234... |
Part 1. Definition
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Part 2. Example
2, 3, ['a', '34', 'f', '931', ... | 7431, G, Q, 5393 | 7 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.2156459242105484,
0.15908151865005493,
-0.611605167388916,
-0.7328382730484009,
-0.22051987051963806,
0.12703636288642883,
0.9469120502471924,
-0.34596747159957886,
-0.08163473010063171,
-0.20436938107013702,
-0.5958619117736816,
-0.22900620102882385,
-0.1795053482055664,
0.1672133505344... |
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 judgment.
Q:... | Original | 4 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.8795884847640991,
0.6691330671310425,
0.13376754522323608,
0.1486421823501587,
0.10653943568468094,
0.0928463488817215,
0.7144436836242676,
0.21315349638462067,
0.6178147196769714,
0.04297778010368347,
-0.6940207481384277,
-0.48989394307136536,
-0.5215617418289185,
0.29058587551116943,
... |
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Example: Operation Greens was announced in the Budget speech of 2018-19 with an outlay of Rs 500 crores to stabilize the supply of Tomato, Onion and Pota... | Solution: মা-কে আপনার বোঝাতে হবে না। তিনি নিজেই নিজের ভুল বুঝে যাবেন। | 5 | NIv2 | task996_pib_translation_english_bengali | fs_opt | [
0.4145663380622864,
-0.09468371421098709,
-0.4393666982650757,
0.3483777344226837,
0.37588828802108765,
-1.1612664461135864,
0.7199983596801758,
1.0094914436340332,
-0.14719849824905396,
0.37439754605293274,
-0.9029584527015686,
0.2749194800853729,
-0.6397154331207275,
0.2238415777683258,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian 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 ... | Le ragazze possono attaccare gli eroi. | 1 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.3564411699771881,
0.764538049697876,
0.2231304794549942,
0.09554658830165863,
-0.08215109258890152,
-0.48760324716567993,
0.4530376195907593,
1.4811230897903442,
-0.04450472444295883,
-0.2523658871650696,
-0.8753547668457031,
0.03232121840119362,
-0.24433812499046326,
0.1427695155143737... |
TASK DEFINITION: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given... | REFERENCE boyfriend
| 8 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.013398016802966595,
0.7005149126052856,
-0.45598655939102173,
0.0035639028064906597,
-0.003798727411776781,
-0.6730121374130249,
1.2619357109069824,
0.6609517931938171,
-0.14958885312080383,
-0.06997877359390259,
-0.4590523838996887,
0.42888280749320984,
-0.5750598907470703,
-0.08295210... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor
| 1 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.4436095952987671,
0.3114067018032074,
-0.2805957794189453,
-0.05615925043821335,
-0.06400588154792786,
-0.8885444402694702,
0.392326295375824,
0.8993939757347107,
0.026535261422395706,
0.19400174915790558,
-0.48061585426330566,
0.21339735388755798,
-0.07248785346746445,
-0.23752465844154... |
Definition: Given a sentence in Italian, generate a new Italian 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 probabi... | Grandi cani comprendono migliori compagni per i bambini di giacchette. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.30794066190719604,
0.3170504570007324,
-0.256801575422287,
0.11106923222541809,
-0.6383594274520874,
-0.21871218085289001,
0.191083163022995,
1.2737951278686523,
0.04022479057312012,
-0.7880012392997742,
-1.4080919027328491,
0.7032797932624817,
-0.5456312894821167,
0.693407416343689,
... |
Q: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/L... | 4 | 7 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
0.24599191546440125,
0.6742215156555176,
-0.1843581646680832,
-0.8230882883071899,
0.0002585886977612972,
-0.1256786584854126,
1.295954942703247,
0.5882154703140259,
0.33966967463493347,
-0.646490216255188,
-0.4791180491447449,
0.5607062578201294,
-0.2860609292984009,
0.12106887251138687,
... |
Teacher:In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a close up of a pizza with people sitting around the table'... | a close up of a pizza with people sitting around the table | 6 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.21527273952960968,
0.42757734656333923,
0.1037934422492981,
-0.3794934153556824,
-0.358306348323822,
-0.31158918142318726,
0.1557345986366272,
0.29028576612472534,
0.3868952989578247,
-0.2634159326553345,
-0.5770961046218872,
-0.4720836579799652,
-0.4174516201019287,
-0.1912402361631393... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Input: Consider Input: Simon Maxwell Helberg (born December 9, 1980) is an American acto... | Output: Philosopher in Meditation Bredius 431 is the traditional title of an oil painting in the Musée du Louvre, Paris, that has long been attributed to the 17thcentury Dutch artist Rembrandt.
| 2 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.48529690504074097,
0.2620124816894531,
-0.18323688209056854,
0.07593938708305359,
0.6037607192993164,
-0.5089956521987915,
0.1928522139787674,
0.3891819417476654,
-0.1448344886302948,
-0.37042999267578125,
-0.1634806990623474,
0.2691207230091095,
-0.18623100221157074,
0.12272670865058899... |
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 is a list of... | SIMILAR
| 7 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.2842528820037842,
-0.2669801115989685,
-0.2754710912704468,
-0.6163975596427917,
-0.3148585557937622,
-0.004954971373081207,
0.8839516639709473,
0.3373490869998932,
0.4207891821861267,
0.11269339919090271,
-0.5411401391029358,
0.23595711588859558,
-0.6604691743850708,
0.0951446145772934... |
In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
So, she was so influential if to say. Where did you read about her, miss? | so she was so influential if to say. where did read about her? | 0 | NIv2 | task1670_md_gender_bias_text_modification | zs_opt | [
-1.3254168033599854,
1.2045257091522217,
0.30854833126068115,
-0.25998955965042114,
0.39307063817977905,
-0.43149176239967346,
0.5724757313728333,
-0.06179914250969887,
0.9954521059989929,
-0.46478280425071716,
-0.5669143199920654,
-0.3340633511543274,
-0.5389776229858398,
-0.2937249243259... |
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.
Input: Consider I... | Output: 4, 5, 6, 7, 9, 12, 13, 14, 16, 20, 22, 23, 24, 28, 30
| 2 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.1679881066083908,
0.2076890766620636,
-0.46273988485336304,
-0.3616824448108673,
-0.06936679780483246,
-0.5689390897750854,
1.026802897453308,
0.6021061539649963,
-0.7314082384109497,
0.4547976851463318,
-0.6262683272361755,
-0.10541576147079468,
-0.25097575783729553,
-0.037243284285068... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subject 1: ... | Solution: be part of | 5 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
0.02326321229338646,
1.0145609378814697,
0.3445667326450348,
-0.3450466990470886,
-0.49579665064811707,
-0.6816120147705078,
0.759247899055481,
0.9473203420639038,
0.47707241773605347,
-0.137425035238266,
-0.6149144172668457,
0.3847939670085907,
-0.6218127012252808,
0.39854246377944946,
... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
[EX Q]: Context: Aina-villi is a village and a Mandal in East Godavari district in the state of Andhra Pradesh in I... | 3
| 6 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.5077223777770996,
0.056112855672836304,
-0.03398184850811958,
0.8050407767295837,
0.03843345120549202,
-0.41952043771743774,
-0.2866038680076599,
0.9675204157829285,
-0.23682841658592224,
-0.41254425048828125,
-0.35508257150650024,
0.4294970631599426,
-0.6474586725234985,
-0.150850564241... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
One example: Sentence 1: Next to the MGM Grand you w... | travel | 6 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.02742600440979,
0.3992788791656494,
0.19534370303153992,
-0.7660534381866455,
-0.06367781013250351,
0.11162424832582474,
-0.1574503779411316,
0.5460238456726074,
0.20318183302879333,
-0.24079445004463196,
-0.45483529567718506,
-0.10592755675315857,
-0.23200897872447968,
-0.4516932368278... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | glaciers. | 8 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.05999646335840225,
0.7575184106826782,
-0.38442105054855347,
0.7202433943748474,
0.07248194515705109,
-1.957163691520691,
0.22195184230804443,
0.9937198162078857,
-0.9470430612564087,
0.2322847843170166,
-0.9130247831344604,
0.4908432960510254,
-0.5799487829208374,
0.18991470336914062,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: यदि कहानियों पर विश्वास किया जाय तो एक बार बसव को निका... | Men 's champion Gopichand is a walking advertisement for a new brand of Indian badminton : he combines all the grace of the Hyderabadi with a smouldering competitive fire from an older , altogether different place .
| 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.4138103127479553,
0.17850561439990997,
0.4997311234474182,
-0.0719970241189003,
0.2063407599925995,
-0.40584245324134827,
0.4701491892337799,
0.38193029165267944,
-0.5061677098274231,
-0.37943562865257263,
-0.8838339447975159,
0.2261868566274643,
-0.7315682768821716,
-0.0672383159399032... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | NN
| 1 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.3307574987411499,
0.40942299365997314,
-0.050742171704769135,
0.34637296199798584,
0.2170579582452774,
-0.613654613494873,
0.8264467120170593,
1.0387601852416992,
-0.4750685691833496,
-0.146799236536026,
-0.3994816839694977,
0.544289231300354,
-0.5183757543563843,
0.08109518885612488,
... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
One example: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries th... | What are the user-defined keywords? | 6 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.4263618588447571,
-0.2103806734085083,
0.028793970122933388,
0.6372568607330322,
0.2743200659751892,
-0.11649917811155319,
0.6278384923934937,
0.8043749332427979,
-0.023212678730487823,
0.22049984335899353,
-0.3217136859893799,
-0.05698804557323456,
-0.5413408279418945,
0.41428846120834... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Ex Input:
Pero ese gas engádese ao metano, que xa está dentro.
Ex Output:
Now, that's added to the gas, the methane gas, that's already inside.
Ex Input:
Temos que racionalizar todo este ámbito, e poden atopar máis in... | My travels to Afghanistan began many, many years ago on the eastern border of my country, my homeland, Poland.
| 1 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.08927292376756668,
0.9436976909637451,
-0.20531561970710754,
-0.713840663433075,
-0.32843196392059326,
-1.7072534561157227,
-0.04591728746891022,
1.3344851732254028,
0.4661836326122284,
0.32875382900238037,
-0.5617436170578003,
0.23804956674575806,
-0.49936363101005554,
-0.2202655076980... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: (קולות סטטיים) כן, אבל הביטו. כאשר הוא לא מצא משהו לאכול —. (קול צופר) (צחוק) אני חושב שזה ביטוי שיכול להיות מובן בכל שפה. (צחוק)
Output: | (Static sounds) Yeah, but watch. When it didn't find anything to eat — (Honking sound) (Laughter) I think that's an expression that can be understood in any language. (Laughter) | 3 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.6553033590316772,
0.5925167202949524,
0.9467735290527344,
0.08220431208610535,
-0.12039749324321747,
-0.2619955539703369,
0.6316370964050293,
0.11182178556919098,
0.8297171592712402,
-0.10143319517374039,
-0.15170365571975708,
-0.14092229306697845,
-1.1138947010040283,
-0.59249049425125... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un bărbat urcă într-o mașină.
| A man is getting into a car. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.6116431355476379,
0.7702243328094482,
0.6258870959281921,
-0.1802341789007187,
-0.27083468437194824,
0.5211120843887329,
0.8073759078979492,
0.23836039006710052,
0.8180024027824402,
-0.2918921113014221,
-0.7861741781234741,
0.6692036390304565,
-0.41402697563171387,
0.2328435480594635,
... |
Instructions: In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Input: નાના બિલાડીનું બચ્ચું બાથરૂમ સિંકમાં રિમ પર ઝાડી બ્રશ સાથે ઉદાસી બેઠક જુએ છે.
Output: | The tiny kitten looks sad sitting in the bathroom sink with a scrub brush on the rim. | 3 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | zs_opt | [
-0.11779491603374481,
0.7772430181503296,
-0.5386222004890442,
-0.5636388063430786,
0.11992309987545013,
-0.7766667604446411,
-0.37033379077911377,
-0.3373023271560669,
0.11177188903093338,
-0.08389495313167572,
0.03437637910246849,
0.8564847707748413,
-0.23518557846546173,
0.0279358439147... |
Teacher: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
मंत्रिमंडळातील माझे सहकारी श्रीयुत जे
Solution: કે... | અત્યારે કાચી આંબલી કિલોગ્રામ દીઠ રૂ. | 2 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
-0.608871340751648,
0.19035808742046356,
-0.021128099411725998,
-0.21194782853126526,
0.427828311920166,
-0.561630129814148,
-0.46334153413772583,
-0.2228449285030365,
-0.46149277687072754,
-0.24504339694976807,
-0.04598186910152435,
-0.7227080464363098,
-0.5331013202667236,
0.261600196361... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
One cornerstone of the project was “smallholder farmers,” me... | NEW-YORK – La Grande récession de 2008 s'est métamorphosée en une récession de l'Atlantique Nord\xa0: ce sont l'Europe et les USA qui n'arrivent pas à redémarrer et sont embourbés dans le chômage, et non les principaux pays émergents.
| 0 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.26319074630737305,
0.04261747747659683,
-0.41687631607055664,
0.296405166387558,
-0.5107689499855042,
0.4151398837566376,
0.3505755662918091,
1.4651788473129272,
0.11849816143512726,
0.18037085235118866,
-0.7666480541229248,
0.27745699882507324,
-0.6895407438278198,
-0.6536390781402588,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happin... | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2998254299163818,
-0.25578269362449646,
0.6870676279067993,
0.5430762767791748,
0.5382624864578247,
-1.0125035047531128,
-0.1585886925458908,
0.4391006827354431,
0.3135368824005127,
0.8156941533088684,
-0.5043364763259888,
-0.48878347873687744,
-0.1374610960483551,
-0.907180905342102,
... |
TASK DEFINITION: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
PROBLEM: i would save it for the next time im feeling cranky or irritable then spray some lightly behind my ears
SOLUTION:... | anger
| 8 | NIv2 | task875_emotion_classification | fs_opt | [
0.228302001953125,
0.21053224802017212,
0.6371011734008789,
-0.43411985039711,
-0.14103329181671143,
-0.9682438373565674,
0.3259989023208618,
0.5453355312347412,
0.15106931328773499,
-0.6073524951934814,
-0.32111769914627075,
-0.15052354335784912,
-1.0283780097961426,
-0.1539609283208847,
... |
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.
--------
Question: This paper presents to the best of our knowledge the first end-to-end object tracking approach which directly maps from raw sensor input to object tr... | On Robustness in Multilayer Interdependent Network
| 7 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.07931897789239883,
0.5053216814994812,
-0.30930063128471375,
-0.0661383867263794,
0.6117538213729858,
0.0187838114798069,
0.6433736681938171,
0.8114439249038696,
0.23331083357334137,
0.31781190633773804,
-0.3687230944633484,
0.0921982154250145,
-0.044157128781080246,
0.2587447762489319,... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
[EX Q]: I mercati finanziari integrati recano altresì giovam... | 货币操纵。自从中国在2005年7月实施汇率调控机制改革以来，人民币兑美国升值了32%，并在去除通胀因素后对一揽子货币升值了约30%。这并不是一个微不足道的数目，而且预计未来数年人民币汇率还将继续上升。
| 6 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.10227304697036743,
0.3474058508872986,
-0.43651828169822693,
0.3060254454612732,
0.29049816727638245,
0.44399338960647583,
0.6018995046615601,
1.364682912826538,
-0.6494526863098145,
-0.09762360155582428,
-0.5351136922836304,
0.40162235498428345,
-0.6418290138244629,
0.37940555810928345... |
Detailed Instructions: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to ... | It turned out my sister loved the game too. | 9 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.435707688331604,
0.7775535583496094,
-0.3761622905731201,
-0.2977192997932434,
-0.489543616771698,
-0.03545618802309036,
1.336314082145691,
-0.032110437750816345,
0.20706723630428314,
-0.13510197401046753,
0.036088477820158005,
0.053654760122299194,
-0.46745991706848145,
-0.027110297232... |
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 Polish.
Example: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה... | Przelej wodę do butelki i staje się butelką. | 1 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.34183406829833984,
0.7280210256576538,
0.004400486126542091,
0.195550799369812,
-0.15902134776115417,
-0.5039284229278564,
1.3457987308502197,
0.1748102605342865,
0.604997456073761,
-0.2144894003868103,
-0.5403386354446411,
0.5106017589569092,
-0.6685103178024292,
0.038342200219631195,
... |
instruction:
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
que... | In the Straits of Sembaleng, five men are dispatched by submarine in Klepper canoes to rescue survivors of a shotdown plane on a nearby island which is occupied by the Imperial Japanese Army. Led by Paul Kelly Gibson, an inexperienced commando officer, the team secretly lands on the island and hides their kayaks. As th... | 9 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
1.1464124917984009,
0.24869057536125183,
0.17066776752471924,
0.3200865089893341,
0.4624538719654083,
0.18116794526576996,
0.55317622423172,
0.9682117700576782,
-0.18135200440883636,
0.3143243193626404,
-0.44196927547454834,
1.0084996223449707,
0.028283771127462387,
0.360984206199646,
-0... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Example Input: It's made — the chariot is made of gold.
Example Output: Está hecho – el carro está hecho de oro.
Example Input: In terms of the other self, the remembering self, you get a different story.
Example Output: ... | Y como la gente ve Cazadores de Mitos y CSI, pensé, bueno, vamos a poner una receta con gelatina balística.
| 3 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.12348160892724991,
1.0230553150177002,
-0.408022403717041,
0.21982741355895996,
-0.06616273522377014,
-1.0224980115890503,
-0.4767577052116394,
1.7089332342147827,
-0.05304378271102905,
-0.545586109161377,
-0.16456007957458496,
0.2512621283531189,
-0.0026084710843861103,
0.1540299654006... |
Detailed Instructions: 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 answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the ... | Does enriched environment prevent cognitive and motor deficits associated with postnatal MK-801 treatment? | 8 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.4037417471408844,
0.22053569555282593,
-0.5526107549667358,
-0.20116665959358215,
0.14434662461280823,
-0.758643627166748,
0.48764580488204956,
1.0716331005096436,
-0.17291808128356934,
0.19287452101707458,
-0.36350148916244507,
-0.01178006175905466,
-1.1707911491394043,
0.22694350779056... |
Detailed Instructions: 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... | 54 | 9 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6373080015182495,
0.3103564381599426,
-0.04526013135910034,
-0.41130682826042175,
-0.0444694384932518,
0.3130820691585541,
-0.06750860810279846,
0.5516630411148071,
0.4473167359828949,
-0.1826375275850296,
-0.6884430646896362,
-0.009155063889920712,
-0.6651471853256226,
0.15511724352836... |
You will be given a definition of a task first, then some input of the task.
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Personality: I ... | Hey there. | 1 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.596085786819458,
0.5279373526573181,
-0.20222149789333344,
-0.0518299899995327,
-0.13888554275035858,
-0.1050054058432579,
0.42815685272216797,
0.4794197082519531,
-0.3479503393173218,
0.19524537026882172,
-0.20046187937259674,
-0.13028287887573242,
-0.11360123008489609,
-0.489182591438... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two
****
| 4 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.8227638006210327,
0.33655381202697754,
-0.31672126054763794,
0.11924133449792862,
0.12400849908590317,
-0.9047548770904541,
0.3243131637573242,
0.07552904635667801,
-0.2589603066444397,
0.1820320338010788,
-0.08279980719089508,
0.9720818996429443,
-0.36913084983825684,
-0.38847631216049... |
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