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 |
|---|---|---|---|---|---|---|
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | unrelated
****
| 4 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.5290807485580444,
0.3702196478843689,
-0.01908428780734539,
0.2538987994194031,
0.1450595259666443,
-0.5423027873039246,
0.2855924963951111,
0.6501132249832153,
0.6530327796936035,
-0.005613360553979874,
-0.35469141602516174,
-0.18023979663848877,
-0.6771070957183838,
-0.184819549322128... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Let me give you an example: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum dele... | I'd like to close with a quote from Mark Twain. | 8 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.09186646342277527,
0.7885342836380005,
0.04979778081178665,
-0.5364890098571777,
-0.0651797205209732,
-0.7080078125,
-0.22937420010566711,
0.4889858663082123,
0.468034565448761,
-0.467781126499176,
-0.049054037779569626,
0.6356247067451477,
-0.7087996602058411,
0.023365704342722893,
-... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Given Relationship: 'be dialect of', Sentence: 'The Tube mobile code system described in this chapter provides the same basic functionality using the Scheme dial... | dialect | 0 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
0.12261512875556946,
0.9390180706977844,
0.12274389714002609,
-0.9415961503982544,
-0.5441473126411438,
-0.30045053362846375,
0.4600903391838074,
0.37918728590011597,
-0.23293185234069824,
-0.2008005529642105,
-0.4743514657020569,
0.38104909658432007,
-0.6305968165397644,
0.417862862348556... |
Teacher: You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ਅਮ... | ਕੋਲਕਾਤਾ | 2 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.34075868129730225,
0.1373419463634491,
0.44260767102241516,
0.2187221646308899,
0.23479650914669037,
-0.9451067447662354,
-0.2053270936012268,
0.17717784643173218,
0.11147257685661316,
0.8828550577163696,
0.05484815686941147,
-0.5351486206054688,
-0.6202746629714966,
-0.0840652734041214,... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | against
| 0 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.2977743446826935,
-0.07337773591279984,
-0.5358963012695312,
-0.26728522777557373,
-0.10309009253978729,
-0.8819330334663391,
0.00970723107457161,
1.5814907550811768,
-0.3817073404788971,
0.3856372833251953,
-0.6492547988891602,
-0.3358553647994995,
-0.4802124500274658,
-0.03275696188211... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Example Input: Todos tivemos abofé grandes conversas.
Example Output: We've all had really great conversations.
Example Input: Que tipo de hormonas son estas?
Example Output: So what kind of hormones are these?
Example... | And if everything was there, including organics, perhaps life had started.
| 3 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
0.18861523270606995,
0.616161584854126,
-0.09528020024299622,
-0.6611554026603699,
-0.4342159628868103,
-1.621968388557434,
0.39781510829925537,
0.21576523780822754,
0.010911238379776478,
-0.04571210592985153,
-0.4988934397697449,
0.32805317640304565,
-0.6214731931686401,
0.540785431861877... |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: '2019 സെപ്റ്റംബര് 4, 5 തീയതികളില് ഞാന് റഷ്യയിലെ വ്ളാഡിവോസ്റ്റോക്കില് സന്ദര്ശനം നടത്തും.
Output: | હું 4-5 સપ્ટેમ્બર, 201ના રોજ રશિયાના વ્લાદિવોસ્તોકની મુલાકાત લઇ રહ્યો છું. | 2 | NIv2 | task1042_pib_translation_malayalam_gujarati | zs_opt | [
-0.03299219161272049,
0.12239255756139755,
-0.03251923993229866,
0.09682399779558182,
0.3962610363960266,
-0.4685683250427246,
-0.07948791980743408,
-0.4358786344528198,
0.06309851258993149,
-0.1904502809047699,
-0.5363658666610718,
-0.2390182614326477,
-0.34345749020576477,
0.564409852027... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return th... | vsssv | 1 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.43677765130996704,
0.7152421474456787,
-0.15611207485198975,
-0.20586997270584106,
-0.19554874300956726,
-0.17854800820350647,
1.1129862070083618,
-0.10549049824476242,
0.24142153561115265,
0.13026437163352966,
-0.18826666474342346,
0.04790390282869339,
-0.567737340927124,
0.21096825599... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -95, 'second': 13}, {'first': -34, 'second': -7}, {'first': -8, 'second': -47}, {'first': -8, 'second': -31}, {'first': 1, 'second': -56}, {'first': 80, 'second': 35}]
| 0 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.23135888576507568,
-0.07005046308040619,
-0.11167838424444199,
-0.07581041753292084,
0.6166694164276123,
-0.47543734312057495,
0.7677748203277588,
0.9667841196060181,
-0.4113823175430298,
-0.38090410828590393,
-0.594558835029602,
-0.5103167295455933,
-0.6722196340560913,
-0.0026447470299... |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify which one of following five services the sentence is related to - Media, Travel, Flights, Buses, RideSharing
Ex Input:
I fancy going out somewhere to see some attractions?
Ex Output:
Travel
Ex Input:
I wan... | Flights
| 1 | NIv2 | task881_schema_guided_dstc8_classification | fs_opt | [
-0.5334241986274719,
0.007800350897014141,
0.10004967451095581,
0.27505800127983093,
-0.18726316094398499,
0.8683916330337524,
0.5661752820014954,
0.7290165424346924,
0.4286675453186035,
-0.023715993389487267,
0.11577969789505005,
-0.23440241813659668,
-0.2589200437068939,
0.05829016491770... |
You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Make sure that your story ... | John studies erosion of soil due to ocean wave. To facilitate his study he measured wave in three different
points, point A, point B, and point C. Point A is in deep water. Point B is in shallow water, and point C is
in even shallower water. He needs to publish his findings after analyzing the data. | 8 | NIv2 | task059_ropes_story_generation | fs_opt | [
-0.06101448833942413,
0.6808319091796875,
-0.19069445133209229,
-0.13713374733924866,
-0.1014484390616417,
-0.8628033995628357,
0.21060818433761597,
1.2213371992111206,
-0.37499719858169556,
0.1357865333557129,
-0.5643894076347351,
0.15732342004776,
-0.8772608637809753,
-0.2177791893482208... |
Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Während der Hut weg ist, werden die Mäuse spielen. | 3 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.8237825632095337,
0.7708122730255127,
-0.4509243071079254,
-0.35976359248161316,
-0.14749784767627716,
0.379604697227478,
0.6656876802444458,
0.6157273054122925,
0.3512080907821655,
-0.2097679078578949,
-0.5164206027984619,
0.23314234614372253,
-0.931877613067627,
-0.13106265664100647,
... |
Teacher: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ข... | 彼女は「地球温暖化に境界はない」と指摘して発言を締めくくった。 | 2 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.008344389498233795,
0.6244908571243286,
-0.7169816493988037,
0.3411034345626831,
-0.4346429109573364,
-0.8109921216964722,
0.3539133667945862,
0.2404574453830719,
0.147895947098732,
-0.4346294403076172,
-0.5399250388145447,
1.1476131677627563,
-0.2654038071632385,
0.5421139001846313,
... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | He would not have bought Eclipse .
| 7 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.3258070945739746,
0.9234005808830261,
-0.654918909072876,
0.4957050085067749,
-0.017110418528318405,
-0.08866310119628906,
0.6367392539978027,
0.7435306906700134,
-0.20286568999290466,
-0.29696112871170044,
-0.12509116530418396,
-0.264695405960083,
-0.8519471883773804,
-0.056353662163019... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Example Input: Companies were created to give people a chance to innovate and not have to put everything on the line.
Example Output: As empresas foram criadas para dar às pessoas a possibilidade de inovar e não para por... | E eu viro na esquina, e eles apanharam-no, eles apanharam-no.
| 3 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.21751385927200317,
0.36090248823165894,
0.43443500995635986,
-0.6628398895263672,
0.27448099851608276,
-0.501409649848938,
-0.35549497604370117,
1.216603398323059,
0.5049375295639038,
0.284365177154541,
0.05449476093053818,
-0.01813582517206669,
0.006856866180896759,
-0.2178903818130493... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top... | non-political
| 6 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.3246617317199707,
-0.47063642740249634,
0.22134467959403992,
0.8047841787338257,
-0.3443191349506378,
0.026265716180205345,
-0.054131392389535904,
0.18825528025627136,
-0.1855883151292801,
0.175955668091774,
-0.31114402413368225,
-0.14791204035282135,
0.40916430950164795,
-0.12126823514... |
In this task, we ask you to write an implausible answer to a question that involves "transient v. stationary" events, i.e., the understanding of whether an event will change over time or not. For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hung... | yes they do this every minute for fun.
| 0 | NIv2 | task008_mctaco_wrong_answer_generation_transient_stationary | fs_opt | [
0.12257349491119385,
-0.2625651955604553,
0.12605515122413635,
-0.04486243426799774,
0.17461299896240234,
-0.7223280668258667,
0.2091483473777771,
0.8257859349250793,
-0.478807270526886,
0.0661730170249939,
-0.35559090971946716,
0.3918081820011139,
-0.30990004539489746,
0.31155651807785034... |
Q: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, the... | What is the full name of the person wanted to assassinate an organized crew of low grade heroin pushers? | 7 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.18537463247776031,
0.2647739052772522,
-0.7132797241210938,
0.10588902235031128,
0.31574875116348267,
0.019603947177529335,
1.1449275016784668,
1.0840678215026855,
-0.799203097820282,
0.40918660163879395,
-0.295773446559906,
0.054462626576423645,
-0.7898880839347839,
0.15243035554885864,... |
Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: Juan displayed the woman from work a photograph
Output: | Juan displayed a photograph to the woman from work | 2 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.055997200310230255,
0.533486545085907,
-0.023753153160214424,
-0.3505833148956299,
0.22358211874961853,
-0.048068732023239136,
-0.06998071074485779,
0.45955783128738403,
-0.0807715505361557,
-0.5033065676689148,
-0.5841306447982788,
-0.15267157554626465,
-0.5032161474227905,
0.298484057... |
In this task, you will be given a sentence about a person. You should determine how the sentence affects how the person is perceived by most people in society. Your choices are:
Positive: The social perception of [PERSON] in the sentence is considered predominantly positive.
Negative: The social perception of [PERSON]... | No impact | 3 | NIv2 | task364_regard_social_impact_classification | fs_opt | [
-0.609952449798584,
0.6789613366127014,
0.13238634169101715,
-0.6639668941497803,
0.8330639600753784,
-0.7948153614997864,
0.4913170337677002,
1.0745997428894043,
0.8736225962638855,
0.3950846195220947,
-0.3305100202560425,
-0.25395116209983826,
-0.43422359228134155,
-0.6295270323753357,
... |
Q: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
M: Can we make you an offer? We would like to run the campaign for four extra weeks. W: Well, can we su... | (B) The woman's company made last-minute changes. | 7 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.12595519423484802,
-0.01790696382522583,
-0.2736724317073822,
-0.3549571633338928,
0.6103041172027588,
-0.3647023141384125,
0.7905220985412598,
0.9168189764022827,
-0.1949680745601654,
0.2603188455104828,
0.108265221118927,
0.497652530670166,
0.5291429758071899,
-0.0843159481883049,
-0... |
Instructions: 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.
Input: ફિલ્મ શુટિંગ માટે ભારતીય ફિલ્મ નિર્માતાઓને પણ એક જગ્યાએથી ક્લીયરન્સની સુવિધા
Output: | भारतीय चित्रपट निर्मात्यांना चित्रिकरणासाठी एक खिडकी मंजुरी | 3 | NIv2 | task983_pib_translation_gujarati_marathi | zs_opt | [
-0.5721409916877747,
0.3369339108467102,
-0.6276038289070129,
0.8897053003311157,
0.18671533465385437,
-0.11728077381849289,
-0.09867765009403229,
-0.0967557430267334,
-0.07606653869152069,
-0.2431786209344864,
-0.5743470191955566,
-0.6590675115585327,
-0.16347289085388184,
0.3610123097896... |
Detailed Instructions: Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has pa... | 1 | 9 | NIv2 | task1583_bless_meronym_classification | zs_opt | [
0.19793030619621277,
0.8947160840034485,
-0.10741229355335236,
-0.3125193417072296,
-0.4295147657394409,
-0.5861042737960815,
1.5803442001342773,
-0.06480930745601654,
0.46264734864234924,
0.03541248291730881,
-0.08283655345439911,
0.4559188485145569,
-1.0230762958526611,
0.371587812900543... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | No | 8 | NIv2 | task496_semeval_answer_generation | fs_opt | [
-0.741812527179718,
0.30071377754211426,
0.47919049859046936,
0.19692566990852356,
-0.2811010181903839,
-0.8631324768066406,
-0.1214786246418953,
0.89735347032547,
0.07537980377674103,
-0.10796298086643219,
-0.2988101840019226,
0.1373835802078247,
-0.9125639796257019,
0.11712086200714111,
... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Con questo tipo di drone, abbiamo dimostrato il potenziale che le persone costrette a letto hanno di essere in grado ancora una volta di esplorare il mondo esterno,... | Com este drone, nós mostrámos o potencial que as pessoas acamadas têm de poderem mais uma vez explorar o mundo lá fora, e a robótica irá eventualmente fornecer um campo de ação onde alguém só será limitado pela sua acuidade mental e imaginação, onde o incapacitado possa executar as mesmas atividades que qualquer outro,... | 5 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.42941802740097046,
0.9045147895812988,
0.4710555672645569,
-0.6666069030761719,
-0.6292803287506104,
0.24270102381706238,
-0.31024742126464844,
1.1711089611053467,
0.08241017162799835,
0.07588131725788116,
-0.704694390296936,
0.6802902221679688,
-0.3090726137161255,
-0.18601691722869873... |
Part 1. Definition
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Part 2. Example
System Reference: x is a reasonably priced fast... | 1 | 7 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.33656418323516846,
0.5990762114524841,
-0.5318387150764465,
-0.11579504609107971,
-0.33722424507141113,
-0.14338533580303192,
1.3946130275726318,
0.930185854434967,
-0.04459461569786072,
-0.3287580609321594,
-0.8078166842460632,
-0.3525828719139099,
-0.795738697052002,
-0.26897376775741... |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly ... | who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle? | 8 | NIv2 | task757_msr_sqa_question_generation | fs_opt | [
0.06697791814804077,
-0.16356618702411652,
-0.7410440444946289,
0.058756254613399506,
0.2805161476135254,
-0.6011342406272888,
0.5635604858398438,
0.5132337808609009,
-0.006160883232951164,
-0.23247623443603516,
0.18475860357284546,
0.6035934686660767,
-0.47520893812179565,
0.0061292313039... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
One example: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
Solution is here: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Explanation: This is a correct and accurate t... | 专门的感觉链纤维是肌肉中包含的核器官。 | 6 | NIv2 | task818_pawsx_japanese_chinese_translation | fs_opt | [
0.5362918376922607,
-0.4773947298526764,
-0.4670390486717224,
-0.0938379317522049,
0.020782211795449257,
-0.9731703996658325,
0.2994767427444458,
0.7892928123474121,
0.4821926951408386,
0.12393548339605331,
-0.09440682083368301,
0.6269460916519165,
-0.8664866089820862,
0.655472993850708,
... |
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.
--------
Question: Context: Sorkh Degar (Persian: سرخ دگار also Romanized as Sorkh Degār; also known as Sorkh Dagān... | 5
| 7 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.27969005703926086,
0.505216121673584,
0.24190768599510193,
-0.28666818141937256,
-0.26766571402549744,
-0.05711253359913826,
0.5635576248168945,
0.6862987875938416,
-0.694872260093689,
-0.5492867827415466,
-0.5828912854194641,
0.33753418922424316,
-0.6083905696868896,
0.17100492119789124... |
Q: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it ... | Les membres de la famille peuvent se rapporter à la mort d'un enfant. | 7 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.10608471930027008,
0.9844512939453125,
-0.21313056349754333,
-0.6003940105438232,
0.1333722472190857,
-0.5350013375282288,
1.2323288917541504,
0.8402664661407471,
0.06940948963165283,
-0.36179035902023315,
-0.8444554805755615,
0.14147277176380157,
-0.7874420285224915,
-0.100094854831695... |
Definition: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Input: Person... | My dogs are actually wolves. | 2 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.5199277400970459,
0.365607351064682,
-1.12235426902771,
0.5058903694152832,
-0.8319007158279419,
0.12296447902917862,
0.4232502579689026,
0.06823497265577316,
0.2683759927749634,
-0.17480051517486572,
-0.20641058683395386,
0.26559460163116455,
0.05542048439383507,
0.09994078427553177,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Example input: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Example output: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Exa... | China no va a sustituir a EE.UU. en ese tablero militar. | 3 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.5816152095794678,
0.3987906575202942,
-0.48555004596710205,
-0.609419584274292,
-0.5689661502838135,
-0.028455456718802452,
-0.04448799416422844,
0.4278895854949951,
-0.015790820121765137,
-0.6283785104751587,
0.3078014552593231,
-0.40750643610954285,
-1.0617085695266724,
-0.24654956161... |
Given the task definition and input, reply with output. 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.
Alexa Ray Joel (born December 29... | She is the older daughter of singersongwriter Billy Joel and first child of model Christie Brinkley. | 5 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.27841895818710327,
0.6250425577163696,
-0.09715516865253448,
-0.14100775122642517,
-0.5609155297279358,
0.18404199182987213,
0.2334447205066681,
0.696684718132019,
0.4842455983161926,
0.8553453087806702,
0.2933880090713501,
0.5518013834953308,
-0.23646581172943115,
-0.23238418996334076,... |
Teacher:Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Teacher: Now, understand the problem? Solve this instance: 'तातसुहेइ'?
Student: | Tatsuhei? | 6 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.36627012491226196,
0.33456990122795105,
0.7508726119995117,
-0.2747896611690521,
0.1886393278837204,
-1.2341339588165283,
0.5229018926620483,
-0.3131955564022064,
0.08219323307275772,
-0.5916717648506165,
-0.049452103674411774,
-0.05916888639330864,
-0.5752728581428528,
0.370768427848815... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Q: Bacon_Explosion | country | United_States
United_States | leaderName |... | The United States is home to the ethnic group of Asian Americans and the dish Bacon Explosion. Paul Ryan is a leader in the US, where the capital city is Washington DC and English is the language used. | 4 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.18989281356334686,
0.33535635471343994,
0.0445166677236557,
-0.32195204496383667,
-0.6833724975585938,
0.2751895487308502,
1.045046329498291,
0.2696308493614197,
-0.42963385581970215,
0.1703152060508728,
-0.3106513023376465,
0.6935445070266724,
-0.2283926010131836,
-0.30324554443359375,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Ex Input:
Po zapaleniu światła dojrzelibyśmy mijające nas niezwykłe istoty które zamieszkują największe głębiny. które zamieszkują największe głębiny.
Ex Output:
E se accendeste una luce, di tanto in tanto vedreste organism... | Mia madre era inglese.
| 1 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.6286655068397522,
0.262504518032074,
-0.5423133373260498,
-0.18590334057807922,
-0.9401520490646362,
-0.9316036701202393,
1.0845301151275635,
0.003079725196585059,
-0.024315766990184784,
-0.300429105758667,
-0.4204310178756714,
0.501354455947876,
-0.6085219383239746,
0.2815372943878174,... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | Most days she got her sisters ready for school. One morning, one of her sisters got hit by a car. Jessica called 911 and her father immediately. | 4 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.09511472284793854,
0.16664227843284607,
0.33971256017684937,
0.029390648007392883,
-0.007001194171607494,
-0.6763573288917542,
-0.07152757793664932,
0.8564198613166809,
0.030244316905736923,
-0.027691062539815903,
-0.5642603635787964,
-0.21235454082489014,
-0.019455771893262863,
0.078666... |
Teacher: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam 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:
ઊર્જાનો પુરવઠો, ઊર્જાનાં સ્રોતો અને ઊર્જાનાં વપર... | രാജ്യത്തെ സാമ്പത്തിക വളര്ച്ചയ്ക്കും വികസനത്തിനും വ്യവസായ മേഖലയുടെ സംഭാവനകളും ചര്ച്ചയ്ക്ക് വന്നു. | 2 | NIv2 | task1041_pib_translation_gujarati_malayalam | fs_opt | [
-0.31026601791381836,
0.35371682047843933,
-0.17329491674900055,
-0.7812378406524658,
-0.5019909739494324,
-1.2587854862213135,
0.143804669380188,
0.5585978031158447,
0.11288663744926453,
-0.7061104774475098,
-0.5390129685401917,
-0.2606620192527771,
-0.6579165458679199,
-0.784500479698181... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Ex Input:
Rejoice, O ye nations, with his people: for he will avenge the blood of his servants, and will render vengeance to his adversaries, and will be merciful unto his land, and to his people.
Ex Outpu... | و اما تو و بندگانت، میدانم که تابحال از یهوه خدا نخواهید ترسید.»
| 1 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
0.181648850440979,
0.3767338693141937,
-0.5695044994354248,
-0.006115495692938566,
-0.19664250314235687,
-0.42412275075912476,
0.6383984088897705,
0.5480082035064697,
0.49068278074264526,
0.10347595810890198,
-0.8784389495849609,
0.8508549332618713,
-1.020658016204834,
-0.08184701949357986... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | unacceptable
| 5 | NIv2 | task616_cola_classification | fs_opt | [
0.050599753856658936,
0.7461669445037842,
0.8614670038223267,
-0.8580446243286133,
0.07328779995441437,
-1.1165331602096558,
0.4793374836444855,
0.18055136501789093,
0.4994868040084839,
0.1393829584121704,
-0.8264099359512329,
0.0181281715631485,
-0.7060136795043945,
-0.04189798980951309,
... |
Detailed Instructions: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem im... | True | 9 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.13291366398334503,
0.48869311809539795,
-0.3491896390914917,
-0.3368493318557739,
-0.180275559425354,
0.018955271691083908,
1.1774702072143555,
1.0746116638183594,
0.05438276380300522,
-0.16976168751716614,
-0.9707884788513184,
-0.3199331760406494,
-0.055274538695812225,
-0.094521537423... |
Part 1. Definition
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Part 2. Example
Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Answer: What did Tracy do with her neck?
Expl... | Was the wound bleeding? | 7 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.3903071880340576,
0.9143421649932861,
-0.7884394526481628,
0.31244778633117676,
-0.05494355410337448,
0.09147732704877853,
0.8290759325027466,
1.0321402549743652,
0.10615594685077667,
0.5693178176879883,
-0.7687124609947205,
-0.1589706838130951,
-0.7830095291137695,
0.28443217277526855,
... |
Part 1. Definition
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the que... | next Christmas | 7 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.7184886336326599,
0.49166160821914673,
-0.35872185230255127,
0.21110256016254425,
0.15493249893188477,
0.05745831876993179,
1.1455154418945312,
0.8686294555664062,
-0.10488046705722809,
-0.2326859086751938,
-0.3249340057373047,
-0.09796953946352005,
-0.3031422197818756,
0.262812167406082... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
[EX Q]: Por isso precisamos de pensar nestes termos.
[EX A]: در نتیجه لازم است اندکی به این موارد بیاندیشیم.
[EX Q]: Depois da II Guerra Mundial, começámos a usar pesticidas em grande quantidade, e estes tornaram-se n... | من فکر نمی کنم که زور و فشار به عنوان درمان موثر باشد و فکر می کنم استفاده از زور برای کسی که بیماری هولناکی دارد ٬ کار هولناکی ست. و فکر می کنم استفاده از زور برای کسی که بیماری هولناکی دارد ٬ کار هولناکی ست.
| 6 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.5629293918609619,
0.563506007194519,
-0.17936816811561584,
-0.4226070046424866,
-0.5269768238067627,
-0.7711837291717529,
0.9224105477333069,
0.5525245070457458,
0.4067936837673187,
-0.42967653274536133,
-1.4127020835876465,
0.7570029497146606,
-0.3785184621810913,
0.22204959392547607,
... |
Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. ... | global warming. | 3 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.5616732835769653,
1.077589750289917,
-0.9183099269866943,
-0.3333794176578522,
-0.6575536131858826,
-1.4383642673492432,
0.4014047384262085,
0.2207186222076416,
0.16416746377944946,
-0.38080230355262756,
-0.6537525057792664,
0.28442418575286865,
-0.48850464820861816,
-0.273142009973526,
... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Q: Large cheap storage , never had a problem with WD before.
A: | Large cheap storage, never had a problem with WD ... | 4 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.12564916908740997,
0.65851891040802,
-0.27006471157073975,
-0.3147391378879547,
-0.4317951798439026,
-0.3062262535095215,
0.037831343710422516,
0.1466768980026245,
0.6175285577774048,
-0.20559141039848328,
1.3576887845993042,
0.096617192029953,
-0.5984656810760498,
-0.0934663712978363,
... |
In this task, you are provided with an article about the legal acts. Your task is to generate a headline for that article.
Example Input: Subparagraphs (a) and (b) of Article 6 (2) of Regulation (EEC) No 685/69 are replaced by the following:' (a) 10 units of account for fixed costs;(b) 0 720 unit of account per day fo... | 75/95/Commission Decision of 20 December 1974 relating to proceedings under Article 85 of the EEC Treaty (IV/26.872 - SHV/Chevron) (Only the Dutch and French texts are authentic)
| 3 | NIv2 | task743_eurlex_summarization | fs_opt | [
0.5154924392700195,
0.11995839327573776,
-0.37122589349746704,
0.008288444951176643,
1.0188241004943848,
-0.5765737295150757,
0.5773209929466248,
1.0289558172225952,
-0.6487575769424438,
0.02570115402340889,
-0.04224094748497009,
0.20372070372104645,
-0.3599488139152527,
0.0869166105985641... |
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.
Q: Sentence: 'All of them rejected him except for his young cousin Ali , son of Abu Talib .', Argument/Subject 1: 'alus', Argument/Subject 2: 'abu talib'... | be son of | 4 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.47911059856414795,
1.2737584114074707,
-0.18024377524852753,
-0.6336126327514648,
-0.8805726766586304,
-0.6606811881065369,
0.04333355277776718,
0.5339820981025696,
1.1158931255340576,
-0.002365403575822711,
-0.015751387923955917,
-0.030091196298599243,
-1.0159344673156738,
0.24720954895... |
instruction:
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.... | recognizing that takings cases are based on the proper exercise of statutory and regulatory authority
| 9 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.22025957703590393,
0.22300787270069122,
-0.11644907295703888,
0.012008501216769218,
0.03437604755163193,
-0.7377161383628845,
0.6337462663650513,
1.187006950378418,
-0.41808396577835083,
-0.04733387753367424,
-0.5070388317108154,
0.4329453110694885,
-0.7105860114097595,
-0.01321767922490... |
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: 'really yes i use linux'. Dialogue 2: 'what i dont know what bye'.
... | yes | 3 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-1.047825574874878,
0.13972267508506775,
0.30236178636550903,
-0.08905377238988876,
-0.6282050609588623,
0.05313032865524292,
0.8353559970855713,
0.11683197319507599,
0.17939713597297668,
-0.14315950870513916,
0.46645036339759827,
-0.45614320039749146,
-0.5903631448745728,
0.51643323898315... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
וזה די מדהים.
Output: | Isso é muito espectacular. | 1 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.656015157699585,
0.6641240119934082,
0.11827784776687622,
-0.043223150074481964,
-0.26383793354034424,
0.7298933863639832,
0.25528934597969055,
0.04454067349433899,
1.2085318565368652,
-0.20860566198825836,
-0.7112659811973572,
-0.27395522594451904,
-0.4277743697166443,
0.07039997726678... |
You will be given a definition of a task first, then some input of the task.
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.
name a gift you might give to your partner to apolo... | flowers | 1 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.6215195655822754,
0.7987593412399292,
0.15493206679821014,
-0.033577580004930496,
0.1335846483707428,
-0.7921668291091919,
0.7098133563995361,
0.2099134922027588,
0.42270079255104065,
-0.22968991100788116,
-0.46140727400779724,
0.33175361156463623,
-0.4615439176559448,
-0.40298470854759... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
آن ها فقط خیلی تنبل هستند.
Sono semplicemente troppo pigre.
هر کاری که انجام می دهیم تقریبی از کمال را دارد.
Tutto quello che facciamo sono approssimazioni di cose complesse.
سوالی که می خواهم از شما بپرسم این است که آیا ش... | Ora, la domanda che voglio farvi è se pensate che ci siano più cani o maiali al guinzaglio in giro per Oxford in un qualsiasi giorno.
| 0 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-1.1787643432617188,
0.8820095062255859,
-0.1653902232646942,
-0.12456932663917542,
-1.1085383892059326,
-0.3426843583583832,
1.1280326843261719,
0.46136462688446045,
0.32770437002182007,
-0.11253378540277481,
-0.8539562821388245,
0.3743201792240143,
-0.5877788066864014,
0.2160590142011642... |
Instructions: 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 a whole. In simpler terms, a meronym (i.e... | no | 3 | NIv2 | task472_haspart_classification | zs_opt | [
-0.7867278456687927,
0.24913161993026733,
0.30126920342445374,
0.44029778242111206,
-0.19026213884353638,
-0.5177606344223022,
0.18765076994895935,
0.8264236450195312,
0.6305999755859375,
-0.4403824806213379,
-0.19572699069976807,
-0.042885757982730865,
-0.28586673736572266,
-0.17019473016... |
Part 1. Definition
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).
Part 2. Example
I declare resumed the session of the European Parliament adjourned on Friday... | Como punto final, en lo respecta a los requisitos técnicos para los barcos, mis colegas también acaban de señalar que desde 1999 en los Estados Unidos los petroleros deben disponer de doble casco. | 7 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.3871384859085083,
0.36782699823379517,
-0.3428422212600708,
0.13212060928344727,
0.21029230952262878,
-0.1005837693810463,
0.7894520163536072,
0.5039026737213135,
-0.29037055373191833,
0.24928903579711914,
0.1026047095656395,
0.7063130736351013,
-0.5317279696464539,
0.3251192569732666,
... |
TASK DEFINITION: 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 re... | -4
| 8 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.0687364786863327,
-0.052905067801475525,
-0.2615889310836792,
-0.525983452796936,
0.05194249749183655,
0.32429957389831543,
1.1985137462615967,
0.7821431756019592,
-0.18205326795578003,
-0.48345160484313965,
-0.837146520614624,
0.20561954379081726,
-0.601941704750061,
-0.005808938294649... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
--------
Question: 青いのは若いやつです黄色は、まだよくわかっていません
Answer: و الشابة هي الزرقاء. و الصفراء لا نعرف للآن ما هي.
Question: でもネットワーク内の位置のすべてが平等というわけではありません
Answer: لكن ليس كل المواقع داخل الشبكة متشابهة
Question: 植物に耐病性やストレス耐... | لقد درست المورثات التي تجعل النباتات مقاومة للمرض وقادرة على إحتمال الإجهاد.
| 7 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.8547590970993042,
-0.02707432582974434,
-0.5643595457077026,
-1.2331396341323853,
-0.6297734379768372,
-0.09575776755809784,
1.0739628076553345,
0.29161402583122253,
0.39677780866622925,
-0.23932290077209473,
-0.8738224506378174,
0.4422692358493805,
-0.4239477515220642,
0.37740701436996... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using th... | 24153 | 1 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.0444282591342926,
0.3862014412879944,
0.41002675890922546,
-0.003533598966896534,
0.42980465292930603,
-0.07670587301254272,
0.6025984883308411,
0.5076241493225098,
-0.012485837563872337,
0.09621458500623703,
-0.053679294884204865,
-0.12754550576210022,
-0.5946676731109619,
0.6508871316... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT
| 1 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.8823554515838623,
0.11744421720504761,
0.2578425407409668,
0.5468941926956177,
-0.51397705078125,
-0.3535405993461609,
0.5772889852523804,
0.9704461097717285,
0.9033465385437012,
0.3735952079296112,
0.02425457164645195,
-0.06615781784057617,
0.10438722372055054,
-0.4873436391353607,
0... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | formal | 0 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
0.30348747968673706,
0.028896555304527283,
0.0516507662832737,
-0.02777894213795662,
0.21390128135681152,
-0.4476713538169861,
0.4850621223449707,
0.6267960071563721,
-0.2877785861492157,
0.03033294528722763,
-0.7886267900466919,
0.10623157024383545,
-0.14548930525779724,
0.136107414960861... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 54312
| 5 | NIv2 | task300_storycloze_order_generation | fs_opt | [
-0.036292314529418945,
-0.04904859513044357,
-0.8639715909957886,
-0.13910332322120667,
0.07527691125869751,
-0.4252619445323944,
0.18727964162826538,
0.774895966053009,
-0.14530834555625916,
-0.017108459025621414,
-0.3571207523345947,
-0.9841853380203247,
-1.2371529340744019,
0.0314960703... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Por los niños de hoy, para los de mañana, como nunca, de nuevo, ahora es el momento.
A: | Para os nenos de hoxe, para os nenos de mañá, como nunca, agora é a hora. | 7 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-0.8373250961303711,
1.3378002643585205,
-0.04960460215806961,
-0.7024314403533936,
-0.5518112182617188,
-0.8408442139625549,
0.3733605146408081,
0.7696137428283691,
-0.5709419250488281,
-0.13514208793640137,
0.29267770051956177,
0.6722638010978699,
-0.10358253121376038,
0.1574205607175827... |
You will be given a definition of a task first, then some input of the task.
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, ... | Location | 1 | NIv2 | task1289_trec_classification | zs_opt | [
0.23757928609848022,
0.11624787747859955,
0.23593297600746155,
-0.23759222030639648,
-0.2604880928993225,
-0.6490675806999207,
0.18881164491176605,
0.20268574357032776,
0.027733495458960533,
0.23274929821491241,
-0.5784810185432434,
-0.2990967035293579,
-0.5477507710456848,
-0.107954584062... |
Definition: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: ಕನ್ನಡ ಭಾಷೆಯ ಕೆಲವು ಪ್ರದೇಶಗಳು ಸೇರ್ಪಡೆ ಆಗದ ಕಾರಣ ಕನ್ನಡಿಗರು ನಿರಾಶೆ ಹೊಂದಿದ್ದರೂ, ಸಂಸತ್ತಿನಲ... | ಕಾಸರಗೋಡು | 2 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.9617401361465454,
1.0146876573562622,
-0.0980423241853714,
-0.28326737880706787,
0.13265708088874817,
-0.7517632246017456,
0.009458515793085098,
0.35360783338546753,
0.0687967836856842,
0.18517223000526428,
0.13710516691207886,
-0.2667739987373352,
-0.24388417601585388,
0.013236485421657... |
Given the task definition, example input & output, solve the new input case.
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Example: Our nation has an experience of 200-225 years in manufacturing metal... | బ్యాంకులు , స్టాకు ఎక్సేంజీలు, మ్యూచువల్ ఫండ్స్ మొదలగు వాటినుంచి సమాచారం సేకరిస్తారు. | 1 | NIv2 | task1047_pib_translation_english_telugu | fs_opt | [
-0.42135077714920044,
0.9730362892150879,
-0.2453942596912384,
0.6122310757637024,
0.6137555837631226,
-1.1404454708099365,
-0.2289351522922516,
0.8289581537246704,
-0.264486163854599,
0.6018706560134888,
-0.3300466239452362,
0.30931782722473145,
-0.5975462198257446,
-0.2060985565185547,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Q: Então fazemos coisas concretas, e traduzimos linguagem técnica para termos leigos para mostrar aos cidadãos que temos um papel a desempenhar juntos.
A: 私たちは具体的に物事を進めるようにしてまた技術的な問題を国民の言葉に置き換えることによって国民には役割がありその役割は... | 津波が来た時ご主人は水門が閉まっているか見回り中でした津波が来た時ご主人は水門が閉まっているか見回り中でした
****
| 4 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.31246814131736755,
-0.1292566955089569,
0.31253695487976074,
-0.8862806558609009,
0.2755241394042969,
-0.5189166069030762,
0.28865930438041687,
0.23235689103603363,
-0.5524827241897583,
-0.012057838961482048,
-0.5447219610214233,
0.6038764715194702,
-0.2533211410045624,
0.16516309976577... |
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 ... | A man at the grocery store helped her bring the groceries to the car. | 8 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-1.0300066471099854,
0.49293702840805054,
0.06576545536518097,
-0.5724440217018127,
-0.6162135601043701,
0.1266566514968872,
0.6759520769119263,
0.5054012537002563,
0.41529709100723267,
-0.13799142837524414,
-0.3701520562171936,
0.14595870673656464,
0.05471202731132507,
-0.2801139950752258... |
Instructions: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: [1... | [82, 184, 592, 2, 86, 34, 292] | 3 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.055901192128658295,
0.6411938667297363,
-0.16755598783493042,
-0.8022971153259277,
-0.08158060908317566,
-0.07689430564641953,
1.3088558912277222,
0.2010316252708435,
-0.07043220102787018,
0.6263751983642578,
-0.850806713104248,
-0.336551696062088,
-0.3932689130306244,
-0.27691099047660... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Example: Sentence 1: Marcus needed clothing for a business casual e... | Solution: Unexpected pregnancy | 5 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
-0.19478739798069,
0.4304162859916687,
-0.02341758832335472,
-0.30234992504119873,
0.294979453086853,
0.18792679905891418,
0.09437836706638336,
0.4955199062824249,
0.0009957158472388983,
0.45575007796287537,
-0.7646226286888123,
-0.3630390763282776,
-0.5549858808517456,
0.02822721935808658... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Example input: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist c... | American | 3 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.710187554359436,
0.48839083313941956,
-0.8294466733932495,
1.071521520614624,
0.4499746263027191,
-0.09820582717657089,
0.7084795832633972,
0.5007584095001221,
-0.036104120314121246,
0.3714579641819,
-0.055077746510505676,
0.6068783402442932,
-0.9186399579048157,
-0.13763700425624847,
... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Q: Sentence1: Mary has worked at a car dealership for two Year's without se... | No | 4 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.6809049844741821,
-0.2078753113746643,
0.5251526832580566,
-0.043649300932884216,
0.006732126697897911,
-0.24969860911369324,
-0.5294364094734192,
0.5887720584869385,
0.2650796175003052,
0.516372561454773,
-0.2476021945476532,
-0.7314285635948181,
0.3907022476196289,
0.1053851842880249,... |
Teacher: Given a scientific passage and an answer, generate a question for the given answer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequenc... | Through a process called electromagnetic induction, generators change what energy form of a spinning turbine to electrical energy? | 2 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.32617124915122986,
0.38836538791656494,
-0.3800010681152344,
-0.028393805027008057,
-0.07037639617919922,
-1.4445087909698486,
0.6125817894935608,
0.8329240083694458,
0.4813889265060425,
0.09289117157459259,
-0.6079402565956116,
-0.22549879550933838,
-0.8526313900947571,
-0.3083328604698... |
Q: 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. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Austin, Texas (CNN) -- Sohaib Athar was ... | Twitter | 7 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.1452638804912567,
0.3213462829589844,
0.1523628979921341,
-0.086028091609478,
0.6666931509971619,
0.07708220183849335,
0.44130587577819824,
1.0549654960632324,
0.3552166223526001,
0.5144824981689453,
-0.49537551403045654,
0.5301563739776611,
-1.2635313272476196,
0.20358003675937653,
-... |
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... | Output: True
| 2 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.6255580186843872,
0.08188188821077347,
-0.8802424073219299,
-0.33851900696754456,
0.29088693857192993,
-0.1765425205230713,
0.2719104290008545,
1.2750866413116455,
-0.09721165895462036,
-0.06475498527288437,
0.20754186809062958,
-0.12078411877155304,
-0.702786922454834,
0.303197264671325... |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the q... | Which main composer did Rouvas work with for the creation of Kati Apo Mena?
****
| 4 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.2828283905982971,
0.14707960188388824,
-0.632994532585144,
0.5994493961334229,
-0.015709467232227325,
-0.34078049659729004,
1.1523840427398682,
0.6034272313117981,
0.8615200519561768,
-0.18449684977531433,
-0.9408867359161377,
0.3282398581504822,
-1.3331353664398193,
-0.4755433201789856,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
[Q]: Y claro, no somos responsables de las consecuencias de lo que estamos haciendo ahora, ¿no? Como esta protesta sobre los clones.
[A]: もちろん我々は今でも結果に対する責任を負ってはいませんクローンに対する抵抗と同じです
[Q]: Si me agacho, me sigue.
[A]: 私がしゃ... | 我々が日ごろ用いる比喩の多くは共感覚に訴えるものなんです
| 5 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.5591607093811035,
0.24398133158683777,
0.28977108001708984,
-0.3542572259902954,
-0.530998945236206,
-1.1404321193695068,
-0.28872567415237427,
1.1440911293029785,
-0.03269699960947037,
-0.39635226130485535,
0.050142254680395126,
0.940239429473877,
-0.6757295727729797,
0.588938236236572... |
instruction:
This task is about translating a given Yoruba language sentence to English.
question:
Creative Commons ní àjọ àgbáńlá-ayé ìṣe àìgbagbẹ̀fẹ̀ CC Global Network, èyítí ó ní àwọn adájọ́, ajàfẹ́tọ̀ọ́, ọ̀mọ̀wé, òṣéré, olórin, àti àwọn mìíràn, tí gbogbo wọn ń ṣiṣẹ́ lórí àwọn àkànṣe iṣẹ́ tí ó lọ salalu àti lórí àwọ... | There shouldn’t be any cause for alarm in that.
| 9 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.27191877365112305,
0.2269669771194458,
0.10559707134962082,
0.0014472724869847298,
0.419699490070343,
-0.42796510457992554,
-0.23448772728443146,
0.6042174696922302,
0.5245364904403687,
-0.3671775162220001,
0.36119580268859863,
0.4702383577823639,
-0.6906574964523315,
-0.069784075021743... |
Detailed Instructions: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
See one example below:
Problem: All of us here are pleased ... | Spanish | 4 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.18132609128952026,
0.5426535606384277,
0.783402681350708,
-0.5079875588417053,
0.015096517279744148,
-0.9500386118888855,
0.31143954396247864,
0.8852514028549194,
0.473280131816864,
-0.24777989089488983,
-0.19566158950328827,
0.1615150272846222,
-0.08757030963897705,
-0.4515113234519958... |
Teacher:In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: This... | en | 6 | NIv2 | task265_paper_reviews_language_identification | zs_opt | [
-0.4762750566005707,
0.4855886697769165,
-0.11601929366588593,
-0.7656798362731934,
0.25993090867996216,
0.021102312952280045,
0.7263529300689697,
1.0042794942855835,
-0.21235862374305725,
0.2416696846485138,
-0.16442003846168518,
0.39974984526634216,
-0.008973279967904091,
0.2015941441059... |
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 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.
Sentence: 'as a... | a few elpoep that are surfing in some water | 0 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.453468918800354,
0.9992456436157227,
-0.08991691470146179,
-0.8913741111755371,
-0.024550102651119232,
-0.12262334674596786,
0.5860338807106018,
0.31539785861968994,
0.050709743052721024,
-0.8546491861343384,
-1.2245200872421265,
0.3317125737667084,
-0.9761267900466919,
0.37307146191596... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
O maior desafio é que a ciência dos materiais é complexa e requer equipamentos caros.
Output: | بزرگترين چالش اين است كه علوم مواد پيچيده است و مستلزم تجهيزات گران است. | 1 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.3017089068889618,
0.7725792527198792,
-0.14259180426597595,
-0.515289306640625,
-0.6044150590896606,
0.6751335859298706,
-0.1303718537092209,
0.6154540181159973,
0.2922264337539673,
0.02096635475754738,
-0.9511598944664001,
0.04285239800810814,
0.07465554773807526,
0.5483295917510986,
... |
Teacher: In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly diff... | No | 2 | NIv2 | task630_dbpedia_14_classification | fs_opt | [
-0.7483570575714111,
0.22617217898368835,
0.6495287418365479,
-0.09168718755245209,
0.2352408766746521,
-0.7048186659812927,
0.3699772357940674,
0.5667329430580139,
-0.36082273721694946,
-0.0629616379737854,
-0.2834654450416565,
0.38494959473609924,
-0.48917585611343384,
-0.390066355466842... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: 16 କୋଟି ଟଙ୍କା ମୂଲ୍ୟର 105ଟି ପ୍ରକଳ୍ପ କାର୍ଯ୍ୟ ଶେଷ ହୋଇଛି । 4.
Output: | पेट्रोटेक ऊर्जा क्षेत्र के भविष्य पर विचार-विमर्श करने के लिए एक उपयुक्त मंच प्रदान कराता है। | 2 | NIv2 | task986_pib_translation_oriya_hindi | zs_opt | [
0.549807071685791,
0.7044655084609985,
-0.33533427119255066,
0.5021912455558777,
0.07363180071115494,
-0.3859935998916626,
-0.08312709629535675,
0.6981451511383057,
-0.06429432332515717,
-0.4449900984764099,
-0.126188263297081,
-0.3924933671951294,
0.4105479121208191,
0.11540912091732025,
... |
Detailed Instructions: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Problem:Mx share ... | Hope Speech | 8 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.2597865164279938,
-0.39374715089797974,
0.7443487644195557,
0.6739867925643921,
-0.03241647034883499,
-0.47353243827819824,
-0.24005091190338135,
0.6581690907478333,
-0.3204050660133362,
0.3720207214355469,
0.141146719455719,
-0.06562206894159317,
-0.16019205749034882,
-0.49918988347053... |
Teacher:You will be given a passage consisting of set of facts and a question as input. The task is to answer a question of form 'Where is <person_name>?' using one of the given facts to determine the latest location of the person. Answer should be a word/phrase describing the location from the supporting fact. Avoid a... | hallway | 6 | NIv2 | task083_babi_t1_single_supporting_fact_answer_generation | zs_opt | [
0.06454697251319885,
0.6502540707588196,
-0.796666145324707,
-0.6148313879966736,
-0.6284208297729492,
-0.3390636742115021,
0.540803074836731,
0.2010027915239334,
0.5646219849586487,
0.2401895821094513,
-0.4245038628578186,
0.06889139860868454,
-0.24717271327972412,
-0.2409588098526001,
... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language... | Jeg hadde tatt min hatt av og var nettopp i ferd med å gjøre en forklarende bemerkning, da hun selv med en gang ledet mine tanker i en fullstendig annen retning. | 0 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.49328529834747314,
0.40201902389526367,
-0.1880401372909546,
0.2282748520374298,
-0.1747877597808838,
-0.6906208395957947,
1.2669956684112549,
-0.2740924656391144,
-0.03408769518136978,
-0.7169709205627441,
0.2694459855556488,
0.5179464817047119,
-1.8297027349472046,
0.3646796941757202,... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
When drum machines were new, I got to thinking, why couldn't you take the oldest form of music, the hambone rhythms, and combine it with the newest technology?
Cuando salieron las baterías electrónicas, yo empecé a pensar ... | Amplía el patrón de interferencia a partir de dos gotas de lluvia que caen una cerca de la otra.
| 0 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
0.10550233721733093,
0.3639836609363556,
-0.28502070903778076,
-0.014343074522912502,
-0.28697845339775085,
-1.217736840248108,
0.5871591567993164,
1.1584980487823486,
0.21776390075683594,
0.5531675815582275,
0.3551410138607025,
0.23345179855823517,
-0.2622881531715393,
0.06971977651119232... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution: And it was primarily because Kiribati realized that this was in their own self-... | What do we know about the women 10 years after the war? | 2 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.7211386561393738,
-0.07067267596721649,
0.004907459951937199,
-0.7630230188369751,
-0.027754422277212143,
-1.3095145225524902,
0.5235105752944946,
-0.02798650786280632,
0.23819172382354736,
0.08808372914791107,
-0.047067999839782715,
-0.2880287170410156,
-0.9399927854537964,
-0.134974762... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Problem:Question: Of... | The freeway system grew as multiple freeways were built over two decades: the Santa Ana (5) Freeway (1944), the Hollywood (101) Freeway (1948), the San Bernardino (10) Freeway (1953), the Santa Monica (10) Freeway (extended to the East Los Angeles Interchange in 1961), the Long Beach (710) Freeway (1961), and the Pomon... | 8 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.45461368560791016,
-0.12734878063201904,
0.12069767713546753,
0.38249507546424866,
0.05726552754640579,
-0.4773753881454468,
0.10266493260860443,
1.4770686626434326,
0.2955322563648224,
-0.5409349799156189,
-0.21495190262794495,
0.3518824577331543,
-0.3587105870246887,
-0.285055935382843... |
Q: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include se... | 11, 13, 14. | 7 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
-0.01177081186324358,
0.29492080211639404,
0.08365066349506378,
-0.7618188261985779,
0.5519006252288818,
-0.5945834517478943,
0.26402512192726135,
0.9417198896408081,
-0.13501277565956116,
-0.02658320590853691,
-0.0711628720164299,
0.6134425401687622,
-0.5451898574829102,
0.137192353606224... |
TASK DEFINITION: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
PROBLEM: I want to precede with saying I've had five laser sessions done on my lower legs befo... | NEGATIVE
| 8 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.40927553176879883,
-0.4087695777416229,
-0.49871930480003357,
0.06507168710231781,
0.8469644784927368,
0.22959306836128235,
0.7543572783470154,
1.2504918575286865,
-0.21003279089927673,
-0.3466513156890869,
0.6953041553497314,
0.3823394477367401,
-0.6614168882369995,
0.30888766050338745... |
Given the task definition and input, reply with output. 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".
[header] How to ground an outlet [title] C... | B | 5 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.22124774754047394,
1.1011598110198975,
-0.33679187297821045,
0.017736544832587242,
0.22565947473049164,
-0.44321876764297485,
0.4653659462928772,
0.5681000351905823,
0.07980214804410934,
0.8267328143119812,
-0.33476686477661133,
0.17737936973571777,
0.585286021232605,
-0.1978279501199722... |
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... | My family goes camping >Causes/Enables> My family has a great time | 3 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.07046355307102203,
0.18621647357940674,
-0.2498733401298523,
0.12044206261634827,
-0.5564465522766113,
-1.5994019508361816,
0.4046153724193573,
0.8251640200614929,
-0.5784834027290344,
0.3825674057006836,
-0.23505143821239471,
-0.1294783651828766,
-0.7412699460983276,
-0.6644399166107178... |
Detailed Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not con... | Anti-stereotype | 4 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.017919637262821198,
0.4950115382671356,
-0.5516915321350098,
0.11777248978614807,
-0.16814419627189636,
-0.1641383171081543,
0.7520423531532288,
0.6602931022644043,
0.5934716463088989,
-0.48206284642219543,
-0.6497648358345032,
0.1916954070329666,
-0.7438886761665344,
-0.1368592381477356... |
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're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context wi... | No | 0 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.7506921887397766,
-0.041559189558029175,
-0.046784140169620514,
0.8817209005355835,
0.3319318890571594,
-0.209137961268425,
0.8069375157356262,
0.8589426279067993,
0.10908034443855286,
0.7266631126403809,
0.22015424072742462,
0.11408381909132004,
-0.16839253902435303,
-0.275384783744812,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Ex Input:
پارسال در یک مصاحبه درمورد ظرفیتم به عنوان یک آدم مشهور رده پایین در استرالیا پرسیدند ، "مهمترین اتفاقات سال ۲۰۱۲ از نظر توچه بود ؟"
Ex Output:
طلب مني عمل مقابلة العام الماضي بصفتي كطبقة "" ج "" المتدنية من المشاه... | لذا ، فعلاً أريد التصميم للنتائج.
| 1 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.7710987329483032,
0.5865611433982849,
-0.13318265974521637,
-0.0417708158493042,
-0.6493892073631287,
0.07144591212272644,
0.7322196960449219,
0.3939828872680664,
0.38732582330703735,
-0.20740541815757751,
-0.4530443549156189,
0.9252296686172485,
-0.7319141626358032,
-0.3683426380157470... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1,... | 13, 4979, 25, 6735, 5, 269, 11, 5, 11, 11, 6869, 4463, 12, 7, 8291, 25, 5515, 9, 5377, 8863, 7595, 25, 13, 2187, 9017, 3679, 19, 25, 2067, 361 | 0 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.07862365990877151,
0.11215150356292725,
0.35601550340652466,
-0.36368682980537415,
0.22392123937606812,
-0.6118929386138916,
-0.25139161944389343,
0.48057401180267334,
-0.3547508120536804,
-0.08453856408596039,
-0.2681165337562561,
-0.11571477353572845,
0.1403200924396515,
-0.34769627451... |
Instructions: 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 expecte... | Text two | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.121244192123413,
1.0061471462249756,
0.25550296902656555,
-0.5683724880218506,
0.11731396615505219,
-0.8177257776260376,
0.35889604687690735,
0.868848443031311,
-0.23668637871742249,
-0.1306157261133194,
-0.4409426152706146,
-0.22485439479351044,
-0.32676342129707336,
-0.207056492567062... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Everything you'd want from a Hot Chocolate...creamy, milky, tasty, makes you happy :) I can't wait to try the o... | Yummy! | 0 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
0.3526761531829834,
0.059319816529750824,
0.8516058921813965,
-0.16105324029922485,
0.29244464635849,
-0.6697118282318115,
0.5900008678436279,
0.04068492352962494,
-0.28788596391677856,
0.08496148139238358,
0.2546675205230713,
-0.7782532572746277,
-0.3205834627151489,
-0.2532040476799011,
... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
[EX Q]: Ajoblanco | country | Spain
Ajoblanco | region | Andalusia
Ajobl... | The Addis Ababa City Hall is where the Government of Addis Ababa is currently located and it's floor area covers 140000.0 (square metres).
| 6 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
0.40543392300605774,
0.6837574243545532,
-0.6040301322937012,
-0.0771736279129982,
-0.1788058876991272,
0.24365931749343872,
0.3607289791107178,
0.5110741257667542,
-0.7657259702682495,
-0.09978573024272919,
-0.49285513162612915,
0.9340372681617737,
-1.115086555480957,
0.23034104704856873,... |
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