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 passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Input: Con... | Output: How do you set-up a personal video recorder without monthly fees?
| 2 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
0.558997392654419,
0.4044371247291565,
0.20058079063892365,
0.3881456255912781,
0.5206624269485474,
-0.470843642950058,
0.9439582228660583,
1.0609221458435059,
0.16814014315605164,
0.3042868375778198,
-0.3258174657821655,
0.25703948736190796,
-1.4388474225997925,
-0.5828201174736023,
-0.... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['659', 'S', 'i', '3353', 'C', 'w', 'N', '6579', 'e', 'T', 'W', 'F', '6531', 'L', '953... | 659, 3353, 6579, 6531, 9535, 547, 4183, 1999 | 1 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.4053843021392822,
0.536102294921875,
-0.7323623299598694,
-0.3667682409286499,
0.04860301688313484,
0.2364598512649536,
-0.027965925633907318,
-0.12091735005378723,
-0.33165642619132996,
0.16329257190227509,
-0.475943922996521,
0.12321031093597412,
0.30486005544662476,
-0.098921142518520... |
TASK DEFINITION: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given i... | to make money
| 8 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.2247242033481598,
0.4952915906906128,
-0.2202160358428955,
-0.5956056118011475,
0.2065752148628235,
-0.38280075788497925,
1.1274473667144775,
0.6662060022354126,
0.3286348283290863,
-0.30587038397789,
-0.19692088663578033,
-0.7458929419517517,
-0.6095147132873535,
0.016855787485837936,
... |
Q: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 「私はこれを楽しんでいて、願わくば次のシーズンに期待したい。」
Lao: "ຂ້ອຍມ່ວນກັບມັນຫຼາຍຢູ່ບ່ອນນີ້ ແລະ ຫວັງວ່າພວກເຮົາຈະສາມາດສ້າງໄດ້... | Yes | 7 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.8781485557556152,
0.07775503396987915,
0.33664846420288086,
-0.159978449344635,
0.03321477025747299,
-1.1132644414901733,
0.2849718928337097,
0.7036449909210205,
-0.47931960225105286,
-0.6369601488113403,
-0.4450593590736389,
0.28636324405670166,
-0.8356205224990845,
0.5330568552017212,... |
Teacher:In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Teacher: Now, understand the problem? Solve this instance: Context: Jesse traced Riley's clothed back. Jesse didn't even ask for... | How would Riley feel as a result? | 6 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.20221371948719025,
1.1271164417266846,
0.15506859123706818,
-0.24857617914676666,
-0.08763687312602997,
-0.4621444642543793,
-0.005673133302479982,
0.23675578832626343,
0.0187502633780241,
-0.03890793398022652,
-0.5582038164138794,
0.23779526352882385,
-0.5624243021011353,
-0.3318228721... |
Q: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwo... | 3098668665 | 7 | NIv2 | task1443_string_to_number | zs_opt | [
-0.5319197177886963,
1.3636901378631592,
-0.37987470626831055,
-1.3022581338882446,
-0.4493081569671631,
-0.7080873250961304,
0.8265503644943237,
0.28656506538391113,
0.13962161540985107,
-0.49237555265426636,
-0.24740347266197205,
0.6878917217254639,
-1.1808509826660156,
-0.36612278223037... |
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... | music | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.0037794329691678286,
0.12844613194465637,
-0.13988733291625977,
-0.034193187952041626,
0.7262136936187744,
-0.45950308442115784,
0.15177154541015625,
0.474342942237854,
-0.4851640462875366,
0.039840470999479294,
-0.2688473165035248,
-0.13719826936721802,
-0.37091919779777527,
-0.31414708... |
In this task, you need to count the occurrences of the given word in the given sentence.
[EX Q]: Sentence: 'a blue boat is up on blocks at a dock'. Count the occurrences of the word 'a' in the given sentence.
[EX A]: 2
[EX Q]: Sentence: 'a living room couch covered with a variety of pillows'. Count the occurrences of... | 2
| 6 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.602525532245636,
0.5579257607460022,
-0.8009014129638672,
-0.9635686874389648,
-0.4779426157474518,
-0.10615099966526031,
0.693779706954956,
0.49400651454925537,
-0.4244467318058014,
-0.09372913092374802,
-0.3312506079673767,
0.09444497525691986,
0.10826669633388519,
0.5949745178222656,
... |
Given the task definition, example input & output, solve the new input case.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Example: Category... | a mainstream | 1 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.3791724443435669,
0.21823564171791077,
-0.3752426505088806,
-0.3658938705921173,
0.3041563630104065,
-0.060301508754491806,
0.09362325817346573,
0.6115477681159973,
0.5228607654571533,
-0.023701172322034836,
-0.0980842113494873,
-0.5517723560333252,
-0.3739168643951416,
0.13947108387947... |
Given the task definition and input, reply with output. In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man"... | A 13-inch one. | 5 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.07189708203077316,
0.16141670942306519,
-0.2622221112251282,
-0.3654469847679138,
0.06828996539115906,
0.7711793780326843,
0.42246705293655396,
0.3419615626335144,
0.7591173648834229,
-0.12864887714385986,
-0.10357597470283508,
0.46478357911109924,
-0.20585787296295166,
0.15478160977363... |
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... | drills. | 9 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.07379800081253052,
1.303318977355957,
-0.6464928388595581,
0.3149193525314331,
-0.5111093521118164,
-1.7558047771453857,
0.6009887456893921,
0.7495418787002563,
-0.4880672097206116,
0.2030799239873886,
-1.2276685237884521,
0.6212193965911865,
-0.5114376544952393,
0.11934326589107513,
0... |
Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Title: kill. Sentence 1: The man threatened to kill his enemy. Sentence 2: His enemy took this... | His enemy left a sympathetic note. | 3 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.5016167163848877,
1.3035132884979248,
0.16542816162109375,
-0.7271684408187866,
-0.04889993742108345,
-0.11133886873722076,
1.0627508163452148,
0.17059841752052307,
0.22452159225940704,
-0.27281031012535095,
-0.6396821737289429,
-0.0906418040394783,
-0.7705031633377075,
0.02115125209093... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-848, -66] | 0 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.0728929042816162,
-0.06962217390537262,
-0.3488783538341522,
-0.16026127338409424,
-0.11129449307918549,
0.273296058177948,
1.0005086660385132,
0.13969746232032776,
-0.6007013916969299,
0.1181132048368454,
-0.9869930744171143,
-0.08918555080890656,
-0.32195618748664856,
0.01703063212335... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 因为你想找份更好的工作 | 4 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.4541577696800232,
0.3318125009536743,
-0.09181356430053711,
-0.48947814106941223,
-0.06991400569677353,
-0.3528600335121155,
-0.48160886764526367,
0.5417561531066895,
0.09926354885101318,
0.02449916861951351,
-0.2621420621871948,
0.005127915181219578,
-0.30005642771720886,
-0.0291400142... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: رژیم های غذایی خیلی قابل اعتماد نیستند.
A: Le diete non sono molto affidabili.
****
Q: اما حتی اونهایی که توانسته اند هر دو را انجام دهند ، به ندرت فهمیده اند چطورآنها را با هم انجام دهند.
A: Ma anche quelli che f... | (Risate) Non é il massimo.
****
| 4 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.5071336627006531,
1.0909883975982666,
-0.4894859194755554,
-0.3595527708530426,
-1.5689029693603516,
0.1092713475227356,
0.9260355234146118,
0.73631751537323,
-0.22577333450317383,
-1.0708754062652588,
-0.9540841579437256,
0.16649171710014343,
-0.9343061447143555,
0.47271156311035156,
... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | No | 0 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-1.0118694305419922,
0.2393845021724701,
-0.14855512976646423,
-0.1721489429473877,
-0.5447790026664734,
-0.47310346364974976,
0.37200993299484253,
1.1432502269744873,
-0.3563461899757385,
-0.23646824061870575,
-0.7663641571998596,
-0.543476939201355,
-0.5302087068557739,
0.120603568851947... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
W... | When does the seventh season of portlandia start?
January 5, 2017
| 0 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.42849287390708923,
0.946038007736206,
-0.716111958026886,
-0.4617108106613159,
-0.4172725975513458,
0.5671670436859131,
0.33983319997787476,
0.10640105605125427,
-0.11506996303796768,
-0.3136668801307678,
0.32650941610336304,
-0.31112027168273926,
-0.8676971197128296,
0.1751248836517334... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Does bacteriuria in patients with a continent ileal reservoir fo... | yes
| 0 | NIv2 | task846_pubmedqa_classification | fs_opt | [
0.49736911058425903,
-0.17658889293670654,
-0.4386376142501831,
0.9366898536682129,
0.2808290123939514,
-0.21406060457229614,
0.1998128741979599,
0.30290573835372925,
-0.009541505016386509,
-0.10692037642002106,
0.04606454074382782,
0.6797322630882263,
-0.7403185367584229,
0.38415351510047... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Output: Option C
| 2 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.3956994414329529,
0.43768417835235596,
-0.7266958355903625,
-0.1662381887435913,
-0.0006738859228789806,
-0.27907460927963257,
0.42708462476730347,
0.2891613245010376,
0.2210116982460022,
-0.09086894989013672,
-0.369453489780426,
0.2657352685928345,
-0.16132697463035583,
-0.2316042780876... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: Japanese: そのiPhoneはアップルのウェブサイトで、「革新的な携帯電話」であると主張されている。
Thai: IPhone ถูกอ้างว่าเป็น... | Output: No
| 2 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.2252582609653473,
-0.6784282922744751,
-0.45996910333633423,
0.03322985768318176,
-0.17021536827087402,
-0.6998865008354187,
0.23712235689163208,
0.6990749835968018,
-0.670714259147644,
0.40850764513015747,
-0.4296953082084656,
0.31508100032806396,
-0.6139962077140808,
0.393735647201538... |
Generate a topic word for the given sentence. A topic word is usually the name of a person, place, animal, concept or object the sentence is focusing on.
lainie kazan (born may 15, 1940 in brooklyn, new york) is an american actress and singer. | lainie kazan | 0 | NIv2 | task645_summarization | zs_opt | [
1.2910592555999756,
0.6056174635887146,
-0.3383473753929138,
0.311489462852478,
0.38922974467277527,
0.8177810907363892,
-0.4258943796157837,
0.009512484073638916,
-1.4004491567611694,
0.4330343008041382,
-0.06823544204235077,
0.12680047750473022,
-1.4516404867172241,
0.8479510545730591,
... |
Detailed Instructions: 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.
See one e... | [54, 71] | 4 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.08024770021438599,
0.8750476837158203,
-0.27101099491119385,
-0.7509965896606445,
-0.2533162534236908,
-0.7771745324134827,
0.9404193162918091,
0.5219144821166992,
0.26364821195602417,
0.2773992419242859,
-0.23201873898506165,
0.1453419029712677,
0.014162016101181507,
0.0589074641466140... |
TASK DEFINITION: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
P... | Sad
| 8 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.041832447052002,
0.2710881233215332,
0.6510745882987976,
0.1346350908279419,
-0.1920059770345688,
-0.3065575659275055,
0.9806982278823853,
0.5195603966712952,
0.1934904009103775,
0.5375580787658691,
-0.24883253872394562,
-0.5202226638793945,
-0.7133211493492126,
-0.056970853358507156,
... |
Teacher:In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Teacher: Now, understand th... | History | 6 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.010267771780490875,
0.4229235053062439,
0.3569764792919159,
-0.33623290061950684,
-0.21583403646945953,
-0.3651520609855652,
-0.21164986491203308,
0.2531554400920868,
-0.26579946279525757,
0.05908537283539772,
0.02495313622057438,
0.3928205370903015,
-0.18639545142650604,
-0.65795475244... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Chinese, generate a new Chinese 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 ... | 你可能在小溪附近 找到一只小狗 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.20717144012451172,
0.5552096366882324,
-0.23792389035224915,
-0.14321072399616241,
0.36729028820991516,
-0.08315517008304596,
-0.16155590116977692,
0.7013469338417053,
0.19043931365013123,
0.2829744219779968,
-0.7174381613731384,
-0.08709932863712311,
-0.1288471817970276,
0.335652589797... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Als je een badkamer moet raken dan moet je tickets kopen.
| 1 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.25532519817352295,
0.382112979888916,
-0.7532925605773926,
0.0610431507229805,
-0.08699169754981995,
-0.9511130452156067,
0.562698483467102,
0.42699167132377625,
0.5296686887741089,
-0.3307390809059143,
-0.16124245524406433,
0.7101681232452393,
-0.5245717763900757,
0.1325543224811554,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Estas zonas do corpo como os nódulos ninfáticos, o sistema nervioso e os pulmóns onde o virus está inactivo e non chegan fácilmente ao sangue dos pacientes... | هذه المناطق في الجسد كالغدد اللمفاوية والجهاز العصبي بالإضافة للرئتين — والتي يكون فيها الفيروس خاملا ولا يصل للدم في المرضى الخاضعين لعلاج الإيدز بشكل مستمر | 6 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.7846794128417969,
0.0818389281630516,
0.3229309320449829,
-1.1406683921813965,
-0.12896284461021423,
-0.8094573616981506,
1.140985369682312,
0.832143247127533,
0.3081059455871582,
-0.03349592536687851,
-0.9254058599472046,
-0.6538113951683044,
-0.7816113233566284,
0.15906774997711182,
... |
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... | False
| 5 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.9653885960578918,
0.350341796875,
-0.5196771621704102,
0.11858470737934113,
0.678575336933136,
-0.45240485668182373,
0.8557131290435791,
1.052613615989685,
-0.0430302768945694,
0.016300804913043976,
0.08018336445093155,
-0.2621915936470032,
-1.006737470626831,
-0.2788679003715515,
-0.6... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Let me give you an example: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
The answer to this example can be: He who created pairs of everything, and fas... | Marry off those who are single among you, and those of your male and female servants who are righteous. If they are poor, God will enrich them of His grace, for God is bounteous and all-knowing. | 8 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.8203610181808472,
0.6559209227561951,
-0.634616494178772,
-0.3263258934020996,
-0.2137620747089386,
-0.11288388073444366,
1.098586916923523,
0.4228590726852417,
-0.22482451796531677,
0.07696457207202911,
-1.1191670894622803,
1.084486484527588,
-0.7129466533660889,
0.23300670087337494,
... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: English: Sport administ... | Yes | 6 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.3779436945915222,
0.012270813807845116,
0.42230844497680664,
0.3907129764556885,
0.17905408143997192,
-0.9899430274963379,
-0.39602524042129517,
0.1203167662024498,
0.09160888195037842,
-1.1077158451080322,
0.016585737466812134,
0.36128953099250793,
-0.7157473564147949,
-0.0182404108345... |
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: 5 + 3
Example solution: 2
Example explanation: Here, '+' represents su... | Solution: -11892 | 5 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.33232688903808594,
-0.07763528823852539,
-0.8380568027496338,
0.4073060154914856,
-0.09204800426959991,
0.2190726101398468,
0.6020276546478271,
1.559564471244812,
0.5229230523109436,
-0.5994812846183777,
-0.7102263569831848,
-0.26417046785354614,
-0.4828629791736603,
0.1209530383348465,... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: その組織は、ロシアにおける... | No | 1 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.2222665697336197,
-0.4527689516544342,
-0.055472154170274734,
-0.2585599422454834,
0.20439882576465607,
0.130415678024292,
0.6183827519416809,
0.8973724842071533,
-0.2549614906311035,
0.19212061166763306,
-0.5219504833221436,
-0.3443533182144165,
-0.8368355631828308,
0.05646529793739319... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
خدای جنگ (به انگلیسی: God of War) یک بازی ویدئویی به سبک اکشن-ماجراجویی و هک اند ... | True
| 0 | NIv2 | task396_persianqa_classification | fs_opt | [
0.5087738037109375,
0.02689383551478386,
-0.8257874250411987,
0.35573357343673706,
-0.15258082747459412,
-1.6619477272033691,
0.8870359063148499,
0.7441542148590088,
-0.07833297550678253,
0.04146517440676689,
-0.4910522997379303,
0.30572402477264404,
-0.626392662525177,
-0.0497084036469459... |
Detailed Instructions: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the... | Hate Speech | 4 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.47317275404930115,
0.8222830295562744,
0.39024341106414795,
0.4457278251647949,
-0.1694573163986206,
-1.046217441558838,
-0.07248007506132126,
0.4900820851325989,
0.4861011803150177,
0.5465644598007202,
-0.343888521194458,
0.045182690024375916,
-0.45422831177711487,
-0.9517006278038025,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
One example: Poradzi sobie, ale trzeba na nią uważać.
Solution is here: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Explanation: The Polish sentence is correctly translated into Arabic, because the meaning is preserved.
No... | أتعلمون ، كان لدي مجموعة من المسلمين من المملكة المتحدة. | 6 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
0.05460862070322037,
1.1198232173919678,
0.2338656187057495,
-0.8581645488739014,
-0.03147123008966446,
-0.33034175634384155,
1.5566245317459106,
-0.4802435040473938,
0.3547874093055725,
0.2565326690673828,
-0.7740492224693298,
0.42791467905044556,
-1.037881851196289,
0.4278668165206909,
... |
Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Laporan yang menyarankan Organisasi Kesehatan Dunia mengumumkan pandemi flu babi adalah kesalahan yang dike... | 報道によると、世界保健機関による豚インフルエンザ世界的大流行の宣言は、製薬会社により推し進められた間違いであり、不当な不安を引き起こしたようです。 | 3 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
0.4045228660106659,
0.6339341402053833,
-0.5899813175201416,
0.014303451403975487,
-0.07997727394104004,
-0.4109192490577698,
0.28249719738960266,
0.5498656034469604,
-0.22800597548484802,
0.05668332055211067,
-1.266026496887207,
0.6500228643417358,
-0.15520800650119781,
0.1280635148286819... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
ילדים קטנים לא מסוגלים לאכול מבר סלטים, ילדים גדולים יירקו לתוך זה — שום דבר מזה לא התרחש.
A: | Małe dzieci nie dadzą sobie rady, a starsze tylko naplują. Nic takiego się nie stało. | 7 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
0.4253459572792053,
0.9920673370361328,
-0.29852432012557983,
0.40985316038131714,
-0.6010640859603882,
0.17841736972332,
0.781112790107727,
-0.05353745445609093,
0.20725256204605103,
-1.3255465030670166,
0.16016538441181183,
0.9346045255661011,
-1.024200439453125,
0.26727360486984253,
0... |
Detailed Instructions: 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... | REFERENCE Energems | 4 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.09247833490371704,
0.4041109085083008,
-0.8192462921142578,
0.029830152168869972,
-0.21106202900409698,
-0.4266033172607422,
1.4391100406646729,
0.7043586373329163,
0.04350064694881439,
-0.059649914503097534,
-0.3976351022720337,
0.1689111888408661,
-0.35999757051467896,
-0.0939870923757... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
یک میلیارد نفر مردم چاق مفرط یا مردم با اضافه وزن وجود دارند و یک میلیارد نفر هم گرسنه وجود دارند.
Output: | There's a billion people obese or overweight and a billion people hungry. | 1 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.9378180503845215,
0.5468484163284302,
0.12439806759357452,
-0.5523755550384521,
-0.8223162889480591,
0.11468560993671417,
0.7032569646835327,
0.31641796231269836,
0.32829323410987854,
-0.615062415599823,
-0.863139271736145,
-0.05979812890291214,
-0.7409834861755371,
0.28106850385665894,... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
[EX Q]: Topic: We should subsidize space exploration<sep>Argument: We should s... | False
| 6 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
-0.2739641070365906,
0.32604920864105225,
-0.07355912029743195,
0.09129782766103745,
-0.2664201259613037,
-0.23940861225128174,
0.21068090200424194,
0.5395764708518982,
0.43045806884765625,
0.039884164929389954,
-0.02931431122124195,
-0.27764660120010376,
0.016931764781475067,
-0.326398670... |
Detailed Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: A Classic Death Cab Album . Death Cab For Cutie's follow up to t... | POS | 9 | NIv2 | task478_cls_english_music_classification | zs_opt | [
0.8721381425857544,
0.13037362694740295,
-0.5041767954826355,
0.3312084376811981,
0.6583781242370605,
-0.6151890158653259,
1.4605635404586792,
0.7245137691497803,
-0.5396674871444702,
1.0964562892913818,
-0.4732968807220459,
-0.24198788404464722,
-0.43392133712768555,
0.24111774563789368,
... |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Problem:ACTION1: putting up a curtain in a shared apartment ACTION2: ... | yes | 8 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.05592813342809677,
0.040674664080142975,
-0.009711092337965965,
0.38366055488586426,
-0.6231456995010376,
-0.8841536045074463,
0.17485395073890686,
0.9894468784332275,
-0.0395207479596138,
0.8774082064628601,
0.277764230966568,
-0.1820821762084961,
-0.7777189016342163,
-0.86409080028533... |
Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. I... | customer: No. | 3 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.30897653102874756,
0.05443670600652695,
-0.5160430669784546,
-1.0152530670166016,
0.17696337401866913,
0.05318224057555199,
0.8267768621444702,
0.04317173734307289,
0.16013924777507782,
0.35161614418029785,
0.51133793592453,
-0.47731083631515503,
-0.2616749703884125,
0.01646284759044647... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: ما بیماری را در آخرین مرحله تشخیص می دهیم ، زمانیکه علائم بیماری ظاهر میشود ، و سپس به مدت 140و30و20و10 سال علائم بیماری را درمان میکنیم.
Student: | Ostatecznie diagnozujemy chorobę, gdy pojawią się objawy, a potem leczymy objawy przez 10, 20, 30, 40 lat. | 6 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.2629837989807129,
0.7028759717941284,
-0.18015044927597046,
-0.43106609582901,
-0.7281255722045898,
-0.34151655435562134,
0.5592390298843384,
0.0038372226990759373,
0.4036872386932373,
-0.13274072110652924,
-0.04913716018199921,
1.2067795991897583,
-0.2455889880657196,
0.571717143058776... |
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: Bananaman | starring | Tim_Brooke-Taylor
Tim_Brooke-Taylor | birthPlac... | Tim Brooke-Taylor was born in the UK and starred in Bananaman. | 4 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
0.14063113927841187,
0.9483319520950317,
-0.35958030819892883,
-0.07926464080810547,
-0.17188072204589844,
0.9314882755279541,
1.4294357299804688,
-0.06672871857881546,
-0.34957191348075867,
-0.2920246720314026,
-0.2872025668621063,
0.4881787896156311,
-0.8931393623352051,
0.14200839400291... |
Detailed Instructions: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Problem:['i', '69', '4193', '6489', 'n', ... | a, g, h, i, l, n, o, p, x | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.5645014047622681,
-0.026357419788837433,
0.0413074716925621,
-0.628494918346405,
0.03498699516057968,
-0.17319218814373016,
-0.03367587924003601,
0.2540607154369354,
-0.5625626444816589,
-0.09398068487644196,
-1.1297622919082642,
-0.7320923805236816,
0.16945931315422058,
0.2669065594673... |
In this task, you need to Translate Czech text to English.
Vynález řeší způsob a zapojení pro omezení velikosti napětí mezi uzlem (1) sítě a zemí (2), a to především v sítích s přímo uzemněným uzlem (1) nebo v sítích, kde je mezi uzel (1) sítě a zem (2) zapojena omezující impedance (5) za účelem zamezení průtoku stejn... | The invention solves the method and circuitry for limiting the magnitude of voltage between a network node (1) and a ground (2), especially in networks with a directly grounded node (1) or in networks where there is a network and ground between node (1) a limiting impedance (5) is connected to prevent the Iuzlem (1) DC... | 0 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.0835467204451561,
0.9594830274581909,
-0.29292193055152893,
-0.6472359895706177,
0.1415134072303772,
0.5000443458557129,
0.9679915904998779,
0.9007513523101807,
0.2448652684688568,
0.24161472916603088,
-0.9314597845077515,
0.5582941174507141,
-0.5266916751861572,
-0.4287891387939453,
-... |
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 | 9 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.38647568225860596,
0.32730817794799805,
0.38001561164855957,
-0.4002397656440735,
-0.17977792024612427,
0.06291013956069946,
1.4447088241577148,
0.10289699584245682,
-0.15990914404392242,
0.1644773632287979,
-1.0276976823806763,
-0.36779728531837463,
-0.7157716751098633,
0.7066982984542... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
One example: Rope and its Usage
Solution is here: Intambo nomsebenzi ewenzayo.
Explanation: 'Intambo' means rope, 'nomsebenzi ewenzayo' roughly translate... | Kwiinqanawa ezincinci umz: | 6 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.4200158417224884,
0.9157309532165527,
0.2653611898422241,
-0.23047083616256714,
-0.38162797689437866,
-0.47092604637145996,
0.8856415152549744,
0.165277898311615,
-0.5826242566108704,
-0.325869083404541,
-0.34208011627197266,
-0.3665403425693512,
-0.5308278203010559,
-0.20617686212062836... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be... | ZW42051845Z | 2 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.06308238953351974,
0.12963025271892548,
-0.3269495964050293,
-0.6154465675354004,
0.2619759142398834,
-0.20640932023525238,
0.27540624141693115,
-0.45979446172714233,
0.30111753940582275,
0.04111313074827194,
-1.2652363777160645,
0.3117923140525818,
0.08812505006790161,
-0.41104105114936... |
Detailed Instructions: 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.... | DISSIMILAR | 9 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.898475170135498,
0.1680731475353241,
0.34280040860176086,
-0.3731878995895386,
0.006906057707965374,
-0.03577633947134018,
1.195631742477417,
0.8227185010910034,
-0.056090399622917175,
0.21830964088439941,
-0.9071323871612549,
-0.41656383872032166,
-0.9020488858222961,
0.562243103981018... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Trátase a obesidade. | אתם מתייחסים להשמנת יתר. | 0 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.05310243368148804,
0.7548279762268066,
-0.12452340126037598,
-0.9934279322624207,
-0.4862242639064789,
0.23338040709495544,
0.5906568765640259,
0.29283809661865234,
0.37055015563964844,
-0.4508219063282013,
-0.6598093509674072,
-0.1886814832687378,
-1.1288273334503174,
0.287147641181945... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
--------
Question: On a less philanthropic plane , the NRIs ' political clout serves to further their business back home in the West .
Answer: वहीं आप्रवासी भारत... | 2. वह लोकसभा से संलग्न सचिवालय का प्रशासनिक अध्यक्ष होता है किंतु इस भूमिका के रूप मे वह न्यायालय के समक्ष उत्तरदायी होगा
| 7 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
-0.5416746139526367,
0.27237406373023987,
0.2180785834789276,
0.5370147228240967,
-0.3080226182937622,
-0.455045610666275,
1.002529263496399,
-0.21115373075008392,
0.13844485580921173,
0.06246209889650345,
-0.5140107870101929,
0.5892659425735474,
-0.905840277671814,
0.7182906270027161,
-... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: In this paper ∗–compatible extensions of fuzzy relations are studied, generalizing some results obtai... | Compatible extensions and consistent closures: a fuzzy approach | 6 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.6947773694992065,
0.3889515995979309,
0.2567588984966278,
-0.5126798152923584,
0.019983291625976562,
0.0036358865909278393,
0.8514854907989502,
-0.3660096526145935,
-0.33796411752700806,
-0.31693997979164124,
0.009811654686927795,
0.008180836215615273,
-0.44982367753982544,
-0.542199492... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
フランスのパリ、パルク・デ・プランスで行われた2007年ラ... | ເວບໄຊ ເຊິ່ງເປັນເລື່ອງລໍ້ລຽນຜົນງານຂອງທອມຄູສ ແລະ ການມີສ່ວນຮ່ວມຂອງລາວກັບໂບດນິກາຍວິທີວິທະຍາ ໄດ້ກາຍມາເປັນສູນກາງຂອງການໂຕ້ຖຽງ ເມື່ອມັນໄດ້ຮັບໃຊ້ຫລາຍໆການຄໍາສັ່ງຢຸດ ແລະ ຢຸດເຊົາ ທີ່ລີເລີ່ມໂດຍໂບດດັ່ງກ່າວ. | 0 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.72270667552948,
0.5059415102005005,
-0.6204484701156616,
-0.13593557476997375,
-0.3025062680244446,
-0.38465940952301025,
0.6303437352180481,
0.6389617919921875,
0.12655366957187653,
-0.4406372010707855,
-0.9104439616203308,
0.7963773012161255,
-0.4059399366378784,
0.8961586356163025,
... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Problem:English sentence: "If at first you don't succeed, try again."
Solution: | "Ọ bụrụ na na mbụ ị na-adịghị ihe ịga nke ọma, nwaa ọzọ. " | 8 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.41514483094215393,
1.000820279121399,
0.41057202219963074,
-0.9791985750198364,
0.42287588119506836,
-0.5438850522041321,
0.8709966540336609,
0.4487178325653076,
-0.7781087160110474,
0.06608353555202484,
0.16316035389900208,
-0.8353236317634583,
-1.447310447692871,
-0.19530247151851654,
... |
Part 1. Definition
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". ... | Question: As the film ends, where is Lila singing?, Answer: Church | 7 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.49018633365631104,
0.4136611819267273,
-0.17451396584510803,
-0.3084847927093506,
0.19600829482078552,
-0.22341288626194,
0.7432197332382202,
0.4977966547012329,
-0.03872118517756462,
-0.2887706160545349,
-0.19924864172935486,
0.3216872811317444,
-0.4697626531124115,
0.26246723532676697,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Me cortaban en finas lonchas y me hacían tragar carbones calientes.
A: | הן יחתכו אותי לחתיכות קטנות או יכריחו אותי לבלוע גחלים לוהטות. | 4 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.06865568459033966,
0.9185622930526733,
-0.2861050069332123,
-0.9668970108032227,
-0.779720664024353,
-0.4244459867477417,
0.6514455080032349,
0.06347724795341492,
-0.22601979970932007,
-0.36831194162368774,
0.10964997112751007,
-0.23059555888175964,
-1.4244719743728638,
0.34230834245681... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about ... | weakener | 1 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.27093297243118286,
0.18001750111579895,
-0.39024245738983154,
0.2354571521282196,
0.1475132405757904,
-0.8869503736495972,
0.9146579504013062,
1.1622951030731201,
0.5202206373214722,
-0.348295658826828,
-1.2048561573028564,
-0.3275066614151001,
-0.7097421884536743,
-0.1871964931488037,
... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Example: [1, 2, 3]
Example solution: [0.167, 0.333, 0.500]
Example explanation: The output list sums to 1.0 and has... | Solution: [-0.005 -0.195 0.131 0.439 0.042 0.067 0.302 0.432 -0.213] | 5 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.10036514699459076,
0.17498576641082764,
-0.9445697069168091,
-0.5021011829376221,
0.3205413818359375,
0.05175130069255829,
0.7550674676895142,
0.23971939086914062,
-0.007456342689692974,
0.09044930338859558,
-0.8077414631843567,
0.024683821946382523,
-0.14686566591262817,
-0.32117590308... |
Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: ['2201', '8499']
Output: | 2201, 8499 | 3 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.2646665573120117,
0.8223605155944824,
-0.9160029292106628,
-0.6285196542739868,
-0.28096622228622437,
0.23877182602882385,
0.7442553639411926,
-0.5836796760559082,
-0.05911910906434059,
0.4054614305496216,
-0.8447802066802979,
-0.31271910667419434,
0.19592958688735962,
-0.322469413280487... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Solution: Jednog dana kada budem snažnija, želim upoznati tu ženu." | 5 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.34687209129333496,
0.5141056180000305,
-0.3505224585533142,
0.702034592628479,
-0.0391380712389946,
-1.1152474880218506,
0.72027587890625,
0.024714350700378418,
-0.2515450716018677,
-0.314552366733551,
-0.35548412799835205,
0.5904581546783447,
-0.16407650709152222,
0.18572348356246948,
... |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: ALSO A GUM BRAND
Clue: To walk with long steps (you may "hit" you... | a stride | 2 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.7568292617797852,
0.47908222675323486,
-0.5051591396331787,
0.025463232770562172,
-0.12545940279960632,
-0.15190327167510986,
0.08753950148820877,
-0.4213460087776184,
0.292279988527298,
0.014343133196234703,
-0.580363929271698,
0.7423115968704224,
-0.6047594547271729,
-0.01070986315608... |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Problem:Sentence1: I suppose, please give me a price and train ID. Sentence2: I would be happy to do that. I just need to know what day you would like your reservation... | Answer: (B) System | 8 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.5053068399429321,
0.7883514761924744,
-0.5264151096343994,
-0.5564741492271423,
-0.27524083852767944,
-0.9612370729446411,
0.7162989377975464,
0.7780907154083252,
-0.13923774659633636,
-0.38637012243270874,
-0.40986019372940063,
0.34636062383651733,
-0.6114500761032104,
-0.19967667758464... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-44, 666]
| 3 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.44894737005233765,
-0.022568758577108383,
-0.6188774108886719,
-0.27441394329071045,
-0.3312024474143982,
0.19958263635635376,
0.6373226046562195,
0.522870659828186,
-0.8044602870941162,
0.05454397201538086,
-0.7835397720336914,
-0.12769365310668945,
-0.30042335391044617,
-0.39691793918... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Viviamo più a lungo. Abbiamo accesso a tecnologie che solo qualche anno fa sarebbero sembrate pura fantascienza.
Output: | أننا نعيش فترة أطول. أصبح لدينا إمكانية الوصول إلى التكنولوجيا كانت تبدو مثل الخيال العلمي قبل سنوات قليلة فقط. | 1 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.543732762336731,
0.7479011416435242,
0.16427741944789886,
-0.28701144456863403,
-0.120696060359478,
-0.47053828835487366,
0.5429474711418152,
0.6285037398338318,
0.36880162358283997,
0.5934618711471558,
-0.5919392108917236,
0.11200284957885742,
-0.4907137155532837,
0.47910958528518677,
... |
Given the task definition and input, reply with output. A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
राजस्थान के माउंट आबू, में नक्की झील के पास रॉक क्लाइंबिंग।
| بیسک فیلڈ : نکی جھیل ، ماؤنٹ آبو ، راجستھان کے نزدیک ایک منفرد اور مخصوص مقام ، جہاں کوہ پیمائی کی جا سکتی ہے ۔ | 5 | NIv2 | task1053_pib_translation_hindi_urdu | zs_opt | [
-0.35419130325317383,
1.1443253755569458,
0.047025591135025024,
-0.4587804079055786,
-0.897213339805603,
0.1939302682876587,
-0.24173840880393982,
0.23144300282001495,
-0.15049928426742554,
-0.7200907468795776,
-0.5668416023254395,
-0.250295490026474,
-0.4653911888599396,
0.523776888847351... |
In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not includ... | Not offensive
| 3 | NIv2 | task1537_tamil_offenseval_dravidian_classification | fs_opt | [
-0.09010474383831024,
0.7607889175415039,
0.5291006565093994,
0.23105062544345856,
0.01193262543529272,
-0.685378909111023,
0.6339221000671387,
0.3168796896934509,
-0.2575693726539612,
-0.299169659614563,
0.35420989990234375,
-0.14175847172737122,
-0.7295151352882385,
-0.35102200508117676,... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
PROBLEM: אנחנו יודעים בזכות מדעי המוח שלחמלה יש כמה תכונות יוצאות דופן.
SOLUTION: A través da neurociencia sabemos que a compaixón ten algunhas extraordinarias cualidades.
PROBLEM: כאשר הקשבתי לכל הסיפורים... | Así, CarderPlanet convértese nunha especie de supermercado para ciberdelincuentes.
| 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.6743185520172119,
0.1525840163230896,
0.14239661395549774,
-0.5840764045715332,
-0.4453253149986267,
-0.6582639813423157,
0.8870776891708374,
-0.5523704290390015,
0.6149788498878479,
-0.36579078435897827,
-0.34098169207572937,
-0.07502652704715729,
-0.9010677933692932,
0.474471449851989... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Input: ففي منتصف القرن القادم سنغدو ما يقارب 8 مليارات نسمة تعيش في مدن تبتعد عن بعضها البعض مسافة سير يوم واحد فقط
Output: | Para mediados de siglo vamos a tener cerca 8.000 millones - quizás más - de personas viviendo en las ciudades, o a un día de distancia de ellas. | 3 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.16364622116088867,
0.69380122423172,
-0.40539100766181946,
-0.6721625328063965,
-0.5512621402740479,
-0.08227313309907913,
-0.24835020303726196,
0.5669397115707397,
-0.05754604935646057,
-0.6095361113548279,
0.11253802478313446,
0.41710203886032104,
-0.6601009368896484,
-0.3702860474586... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
י.ב.: המצאה זו היא שילוב בין גלישת רוח לסקי.
| Yves Behar: ecco una combinazione di windsurf e sci in questa invenzione. | 5 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.5730087757110596,
1.1390272378921509,
-0.02021385356783867,
-0.1449437439441681,
-0.02012287825345993,
0.4330882728099823,
0.18839001655578613,
0.17742159962654114,
1.0054497718811035,
-1.112156867980957,
-0.5396394729614258,
0.7868512868881226,
-0.41375023126602173,
0.6273928880691528,... |
Detailed Instructions: In this task, you are given a question in English, and your task is to translate it into Persian.
Q: Would China ever block Quora?
A: | آیا چین هرگز کوئورا را مسدود می کند؟ | 9 | NIv2 | task652_parsinlu_en_fa_translation | zs_opt | [
-1.1134358644485474,
0.5081189274787903,
-0.07322317361831665,
0.27892979979515076,
-0.09555110335350037,
0.19147223234176636,
0.212369903922081,
0.01684565469622612,
0.37987685203552246,
0.43432193994522095,
-0.12196972221136093,
0.38050395250320435,
0.44823405146598816,
0.205829232931137... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: Is the climate an hoax?, Question2: Is climate a lie?
A: | Yes | 4 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.47924575209617615,
0.5671683549880981,
-0.13601423799991608,
0.23272059857845306,
-0.8469930291175842,
-1.6208220720291138,
0.16259898245334625,
0.3705415725708008,
-0.4490695297718048,
-0.4889872074127197,
-0.44078969955444336,
-0.6484206914901733,
-0.5984062552452087,
-0.0897537618875... |
Given the task definition and input, reply with output. In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical l... | False | 5 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.04628797993063927,
0.3528568744659424,
-0.16646380722522736,
0.2658548951148987,
-0.31783801317214966,
-0.3604596257209778,
0.25045913457870483,
0.3215431571006775,
-0.3170173764228821,
0.028101442381739616,
-0.9166725873947144,
0.12577393651008606,
0.0177887175232172,
-0.14307609200477... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Q: Question: How old is the person who succeeded Hastings? Pass... | 2
****
| 4 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.3583405911922455,
-0.2787392735481262,
-0.7063255310058594,
-0.33978232741355896,
0.3127318024635315,
0.3366367220878601,
0.6993944644927979,
0.853253960609436,
-0.48014670610427856,
0.1372966170310974,
-0.04022427648305893,
0.2106385976076126,
-0.6156507134437561,
0.4068337082862854,
... |
TASK DEFINITION: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4... | [64, 512, 4096, 2048, 16, 64, 4, 256, 128, 1024, 4096, 16, 32, 4, 64, 256]
| 8 | NIv2 | task1444_round_power_of_two | fs_opt | [
0.15571054816246033,
1.0063841342926025,
-0.4470663368701935,
-0.09586389362812042,
-0.19441284239292145,
0.17837998270988464,
0.5753499269485474,
0.5470643043518066,
-0.5211140513420105,
-0.01073293387889862,
-0.6860330104827881,
0.39565837383270264,
-0.04863578826189041,
-0.4242489635944... |
In this task, you need to count the number of times the given letter appears in the given sentence.
[EX Q]: Sentence: 'a man that is on his cell phone'. Find frequency of the letter 's'
[EX A]: 2
[EX Q]: Sentence: 'a white and blue plate topped with meat and a salad'. Find frequency of the letter 'u'
[EX A]: 1
[EX Q... | 1
| 6 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.6621966361999512,
0.8666691780090332,
-1.1688823699951172,
-0.5468431115150452,
0.16284868121147156,
-0.08980155736207962,
0.6577244997024536,
0.5393506288528442,
0.289989709854126,
0.2586491107940674,
-0.008781136944890022,
0.8737354278564453,
-0.18488472700119019,
0.11543575674295425,... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | EVERYBODY | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.597463846206665,
-0.11589937657117844,
-0.5755948424339294,
-0.0014790152199566364,
0.1106642410159111,
-0.5381007194519043,
0.9024671316146851,
0.48476940393447876,
0.2745123505592346,
0.08232860267162323,
-0.029754623770713806,
0.25900107622146606,
-1.0545597076416016,
-0.0051790568977... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
PROBLEM: Porque hai dúas cabezas dentro de cada un se o pensades.
SOLUTION: Porque hay dos cabezas en una misma persona, si lo pensamos.
PROBLEM: A verdade é outra.
SOLUTION: La verdad es otra.
PROBLE... | Sabemos todo.
| 8 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
0.14848430454730988,
0.6124688982963562,
0.18702733516693115,
-0.6105254292488098,
-0.16010206937789917,
-1.175017237663269,
0.11120036244392395,
0.9463002681732178,
0.07807935774326324,
-0.3833775818347931,
-0.3617725372314453,
-0.26783692836761475,
-0.5081850290298462,
0.1331809461116790... |
Part 1. Definition
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".
Part 2. Example
English: Details were given by the UK Transport Secreta... | Yes | 7 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.28903841972351074,
0.0046251676976680756,
0.4519044756889343,
0.23996016383171082,
0.17954467236995697,
-0.3858530521392822,
0.1619228720664978,
0.4295896887779236,
-0.26629215478897095,
-0.28466635942459106,
0.1360132396221161,
0.7585999965667725,
-0.21848070621490479,
0.53723835945129... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one enti... | a | 1 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.8168123960494995,
0.22934293746948242,
-0.47797518968582153,
-0.14561903476715088,
0.49139857292175293,
-0.6874289512634277,
1.1124839782714844,
1.2124226093292236,
0.00888210441917181,
0.308167040348053,
-0.1653507649898529,
0.4909239709377289,
0.0909019410610199,
0.029534058645367622,
... |
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".
Q: A woman cleans a cafeteria floor with a mop while occasionally talking to the camera. the woman... | B
****
| 4 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.5662906169891357,
0.643686056137085,
-0.5886553525924683,
-0.3621212840080261,
0.3700551390647888,
-0.4835100769996643,
0.8503155708312988,
0.4701468348503113,
-0.2908889353275299,
-0.26345163583755493,
-0.4994410276412964,
0.5702248811721802,
0.3217785656452179,
0.19967874884605408,
-... |
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Q: Remain attached to God during your happiness and during your sadness.
A: Happy
****
Q: When your rewatching glee and break down in tears all over... | Happy
****
| 4 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | fs_opt | [
-1.5515613555908203,
0.8117357492446899,
0.7073230743408203,
-0.21087442338466644,
-0.18142148852348328,
-0.8731081485748291,
0.991952657699585,
0.2586979269981384,
0.1355701982975006,
0.5144437551498413,
-0.7205098867416382,
0.040286898612976074,
-0.4493367671966553,
-0.20255210995674133,... |
In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only. Input sentences must ... | Bengali
| 7 | NIv2 | task976_pib_indian_language_identification | fs_opt | [
-0.5715650916099548,
1.1519834995269775,
0.5872562527656555,
-0.08803116530179977,
-0.031018897891044617,
-0.9506698250770569,
0.3826065957546234,
0.5668909549713135,
-0.14931818842887878,
0.31828367710113525,
-0.41373518109321594,
-0.10231763869524002,
0.158676415681839,
-0.39249789714813... |
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 have to determ... | No
| 5 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
1.6082465648651123,
-0.3967261016368866,
-0.4135686755180359,
0.2093261480331421,
-0.4588029980659485,
-1.3068702220916748,
0.9706491827964783,
0.5293076038360596,
-1.2226892709732056,
-0.20041824877262115,
-0.7728098630905151,
-0.2390657216310501,
-0.6628512144088745,
0.2942388355731964,
... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Solution... | (تصفيق) أظن أن لدينا الوقت لتدخل واحد أخير. | 2 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.3773941695690155,
0.3981722593307495,
-0.18407094478607178,
-0.8219262361526489,
-0.5434679388999939,
-0.7473089694976807,
0.801813006401062,
0.8614065647125244,
0.12633882462978363,
-0.2295379787683487,
-0.34932708740234375,
0.4771445691585541,
-0.6857523918151855,
0.4326131343841553,
... |
Construct a question that every answer in the list is correct and reasonable for it.
Example input: umbrella, sunscreen, sun hat, sunglasses, cover up, shade
Example output: at the beach, name something that might protect you from sun.
Example explanation: umbrella, sunscreen, sun hat, sunglasses, cover up and shade c... | if a 10-year-old became president, what's the first thing they would outlaw? | 3 | NIv2 | task821_protoqa_question_generation | fs_opt | [
0.5689836740493774,
0.7539174556732178,
-0.931166410446167,
-0.7318954467773438,
-0.1571810245513916,
-1.8066372871398926,
-0.3595946431159973,
0.6808300018310547,
0.152572900056839,
-0.3494078814983368,
0.2366211861371994,
-0.02710898034274578,
-1.0049430131912231,
-0.7450367212295532,
... |
Detailed Instructions: 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.
Q: Transcription of broadcast news is an interesting and challenging application for large-vocabulary continuous speech recognition (LVCSR). We p... | A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems | 9 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.5991029739379883,
0.6461805105209351,
0.08187327533960342,
0.5418121814727783,
-0.17406022548675537,
0.45060813426971436,
0.9920239448547363,
0.4085114598274231,
0.3498004674911499,
0.19935497641563416,
-0.7446659803390503,
-0.3253227472305298,
-0.5793972015380859,
0.49315565824508667,
... |
Given the task definition and input, reply with output. 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'.
Dialogue 1: 'dont have anyone to talk to yo... | no | 5 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.7184176445007324,
0.3712930679321289,
0.4248587489128113,
-0.25891998410224915,
-0.32949280738830566,
-0.14711812138557434,
0.9980523586273193,
0.4640759825706482,
0.03217194974422455,
-0.35228848457336426,
-0.1786370575428009,
-0.543917179107666,
-0.1446416676044464,
-0.044558998197317... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a 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 w... | strengthener | 0 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.07380582392215729,
0.49120110273361206,
-0.25428587198257446,
0.1280137300491333,
0.10391059517860413,
-0.9203750491142273,
1.058420181274414,
1.3016283512115479,
0.2556026875972748,
-0.4779091775417328,
-0.8072446584701538,
-0.05355934798717499,
-0.31919699907302856,
0.1712389886379242... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Example: Text: Cheval de soins pour les enfants de 3 ans!
Example solution: French
Example explanation: The given text is in French language
Problem: Text: 12:14 Halkii, wa... | Solution: Somali | 5 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.4279017150402069,
0.9925199747085571,
0.09943769872188568,
-0.10177745670080185,
-0.09445098042488098,
-0.4932124614715576,
0.6985814571380615,
0.5698758959770203,
0.20490533113479614,
-0.30727168917655945,
-0.10872809588909149,
0.5901453495025635,
-0.5636259913444519,
0.1174428164958953... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['g', 'F', '6091', '... | 10 | 5 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.016508042812347412,
0.500680148601532,
0.5680309534072876,
-0.7090216875076294,
0.29507946968078613,
-0.1538684070110321,
0.20681500434875488,
-0.3301262855529785,
-0.609586775302887,
0.16675083339214325,
-0.5494195222854614,
0.000802598602604121,
0.27887749671936035,
-0.473020076751709,... |
TASK DEFINITION: In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing ... | Yes.
| 8 | NIv2 | task018_mctaco_temporal_reasoning_presence | fs_opt | [
0.09233023971319199,
0.2700944244861603,
-0.3057417869567871,
0.11504703760147095,
-0.44986677169799805,
-0.6102389097213745,
0.3803691565990448,
0.6875619292259216,
-0.16540464758872986,
0.30328112840652466,
0.10607567429542542,
0.06906489282846451,
-0.23429512977600098,
0.317795276641845... |
TASK DEFINITION: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
PROBLEM: Comanche Indians have trapped the evil of their land in a monster made up of a mixtur... | Yes
| 8 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.6123414635658264,
0.22122988104820251,
-0.4755505919456482,
0.5631675720214844,
0.3339843153953552,
-0.08120454847812653,
0.436837375164032,
1.066559910774231,
-0.11808804422616959,
0.21537694334983826,
-0.28664952516555786,
0.49712732434272766,
-0.4055086672306061,
-0.2151557207107544,
... |
Teacher:In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: يقرّر النّاس من سيكون السيناتور القادم
Student: | people of Illinois decide who their next Senator will be. | 6 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.34316205978393555,
0.23738257586956024,
0.17757046222686768,
-0.5039076805114746,
-0.3693873882293701,
-0.06311850249767303,
0.9552686214447021,
0.18240457773208618,
0.4843028485774994,
0.2529008388519287,
0.3053819537162781,
0.5322431325912476,
-0.6241223812103271,
-0.3007400929927826,... |
Instructions: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Om konkurrenspolitiken skall underordnas social- och m... | If competition policy is to be made subordinate to the aims of social and environmental policy, real efficiency and economic growth will remain just a dream. | 3 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-1.087761640548706,
1.09568452835083,
0.6643400192260742,
-1.085066795349121,
-0.18935558199882507,
0.07258661091327667,
0.5447067022323608,
0.7204083204269409,
0.07022331655025482,
0.180672287940979,
-0.06702190637588501,
0.05441788583993912,
-0.5008301734924316,
-0.30951082706451416,
0... |
Part 1. Definition
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Part 2. Example
difficult
Answer: No
Explanation: The word difficult has no natural English rhymes and so the model outputs No as specified in the instructions.
Part 3. Exercise
set
Answer: | sweat | 7 | NIv2 | task183_rhyme_generation | fs_opt | [
0.558591902256012,
1.2285147905349731,
0.5160199403762817,
-0.5894201993942261,
-0.03363466262817383,
0.10806256532669067,
0.6843423247337341,
0.14993862807750702,
0.25202158093452454,
-0.2801460027694702,
-0.34217894077301025,
-0.19944466650485992,
-0.3346737325191498,
-0.1877765208482742... |
Q: Given a sentence in Bulgarian, generate a new Bulgarian 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 ... | Хората често шофират, за да работят във вакуум след закуска. | 7 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.45022842288017273,
0.34505870938301086,
-0.0133627038449049,
-0.4478312134742737,
-0.5051597952842712,
-0.06809011846780777,
1.1201884746551514,
1.1495915651321411,
0.6226192712783813,
-0.9972000122070312,
-0.8893340826034546,
0.20385673642158508,
-0.45927950739860535,
0.278988838195800... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Q: he tossed jörmungandr into the great ocean that encircles midgard.
A: he tossed jörmungandr into the great ocean that surrounds midgard.
****
... | ellin arrives at agnes 's house to avoid going to a party , where there is a boy she is avoiding.
****
| 4 | NIv2 | task934_turk_simplification | fs_opt | [
0.030427299439907074,
1.0805996656417847,
-0.2897438406944275,
-0.5805613994598389,
0.13073645532131195,
-1.107597827911377,
0.22727639973163605,
-0.6111266613006592,
-0.31707942485809326,
0.015339182689785957,
0.1125124841928482,
0.601105272769928,
-1.4938466548919678,
0.11907657980918884... |
This task is to translate a news commentary given in French language into Russian 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.
Input: Consider Input: Mais son courage et son exemple peuve... | Output: Две важные недавние истории успеха в сфере помощи использовали этот подход: Глобальный Союз по вакцинам и иммунизации, который успешно проводит вакцинацию маленьких детей, и Глобальный Фонд по борьбе со СПИДом, туберкулезом и малярией, который поддерживает национальные планы действий, направленные на борьбу с э... | 2 | NIv2 | task1377_newscomm_translation | fs_opt | [
0.009741617366671562,
0.7368128299713135,
0.2253810465335846,
-0.17064625024795532,
0.31854599714279175,
0.038169316947460175,
0.07561030238866806,
1.6478333473205566,
-0.14869096875190735,
0.2984991669654846,
-0.8520107865333557,
0.17139261960983276,
0.07985708117485046,
0.039466723799705... |
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