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 |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the expression x # y denotes the product of the consecutive multiples of 3 between x and y , inclusive . what is the sum of the exponents in... | c | 9 | NIv2 | task1420_mathqa_general | zs_opt | [
0.23812136054039001,
0.0631098747253418,
-0.48540419340133667,
-0.6563748121261597,
-0.28159528970718384,
0.06062910333275795,
0.8037285208702087,
0.9762893915176392,
0.017022352665662766,
0.33849525451660156,
-0.559478759765625,
0.540585994720459,
-0.023069394752383232,
-0.447132140398025... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['Asser Levy Public Baths', 'LOCATION', 'New York City'], ['New York City', 'COUNTRY', 'United States'], ['Manhattan', 'LEADER_NAME', 'Cyrus Vance, Jr.'], ['New York City', 'IS_PART_OF', 'Manhattan'], ['New York City', 'IS_PART_OF', 'Brooklyn']]
| 6 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.1498599648475647,
0.08942647278308868,
-0.18074074387550354,
-0.16927935183048248,
0.32545626163482666,
0.3920409381389618,
0.06695765256881714,
0.6710138916969299,
-0.1691952347755432,
-0.13137781620025635,
0.22584950923919678,
0.08763479441404343,
-0.54112708568573,
-0.1891271471977234... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Por tanto, este animal vai vivir o dobre de tempo.
| この動物は２倍長く生きられます | 5 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-1.3650717735290527,
0.35376277565956116,
0.34678739309310913,
-0.3731604814529419,
-0.3050580322742462,
-0.43119293451309204,
0.5833960771560669,
-0.10699902474880219,
-0.5293325185775757,
-0.9937037229537964,
-0.47108855843544006,
0.6033428907394409,
-0.9419913291931152,
0.66631484031677... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Example Input: So NSA has two missions.
Example Output: La NSA ha due missioni:
Example Input: But those bubbles have membranes very similar to the membrane of every cell of every living thing on Earth looks like, like th... | Così dobbiamo iniziare a pensare a questa capacità proprio adesso.
| 3 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.5438727736473083,
0.608323335647583,
0.20259621739387512,
0.012915387749671936,
-0.201884925365448,
-0.5733272433280945,
0.18651729822158813,
0.3555735945701599,
-0.5391792058944702,
0.36076998710632324,
0.01633785292506218,
0.5471687912940979,
0.28045910596847534,
-0.09367775917053223,... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful | 8 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.42022931575775146,
0.019856953993439674,
0.4327710270881653,
0.42074131965637207,
-0.4520896077156067,
-0.818609356880188,
0.11933760344982147,
1.0151170492172241,
0.5279579162597656,
0.016432378441095352,
-0.587073564529419,
0.3999476432800293,
-0.3240317702293396,
-0.5403627157211304,... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
One example: Context: During Operation Market... | Answer: Gannett Peak | 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.20121587812900543,
0.5733150243759155,
-0.5508736371994019,
-0.39479273557662964,
0.2251996397972107,
-1.081191062927246,
0.17605158686637878,
1.20868718624115,
0.9294431209564209,
-0.23737478256225586,
-0.4499867558479309,
0.6075515151023865,
-1.594065546989441,
-0.18820598721504211,
... |
Given the task definition and input, reply with output. In this task, you are given a question. You have to answer the question based on your information.
U.S. Bank Tower is one of the tallest buildings west of the Mississippi River, but is shorter than which LA building?
| Wilshire Grand Center | 5 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.21192938089370728,
0.6123833656311035,
-0.5478906631469727,
0.667030394077301,
-0.004740007221698761,
0.04793739691376686,
-0.6985633969306946,
0.45259493589401245,
-0.18157482147216797,
0.15602320432662964,
-0.29281121492385864,
-0.06740337610244751,
0.0011090022744610906,
0.3228167295... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Ora ci troviamo in una situazione in cui per ogni tre 'baby boomers' l'Istituto Globale McKinsey prevede che due non riusciranno a mantenere il tenore di vita precedente al pensionamento.
Output: | E agora estamos na situación na que de cada tres nacementos, o Instituto Global McKinsey predí que dous non van ser quen de cubrir as súas necesidades pre-xubilatorias cando estean xubilados. | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.6092041730880737,
0.43761172890663147,
-0.35062873363494873,
-0.8283365964889526,
-0.25285255908966064,
-0.32701176404953003,
-0.5505147576332092,
1.17825448513031,
-0.06624576449394226,
0.35645294189453125,
-0.07149014621973038,
0.5219792723655701,
-0.046705491840839386,
0.075667753815... |
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... | Yes | 9 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.6704779863357544,
0.2898675799369812,
0.37507009506225586,
-0.21072733402252197,
-0.49980348348617554,
-0.7815643548965454,
1.1512577533721924,
0.723335862159729,
-0.7224158644676208,
-0.4037353992462158,
-0.5359963774681091,
-0.26389962434768677,
-1.0978294610977173,
0.33997270464897156... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose | 3 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.2018713355064392,
0.6243699789047241,
-0.11780473589897156,
-0.3422101140022278,
0.30796653032302856,
0.3050002455711365,
0.016811158508062363,
1.107163906097412,
0.21068882942199707,
0.7367531061172485,
-0.9560920000076294,
0.1095375269651413,
-0.010756878182291985,
0.10119158029556274... |
Q: In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'person grating cheese on top of small pizza'. Find frequency of the letter 'r'
A: | 2 | 7 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.5947936773300171,
1.0318108797073364,
0.3409934639930725,
0.4680246412754059,
-0.5115640163421631,
0.6159223318099976,
0.9036515951156616,
0.4462789297103882,
-0.4426020383834839,
-0.010954169556498528,
-0.2208644151687622,
-0.5173419117927551,
-0.3135582208633423,
0.5117470026016235,
... |
Detailed Instructions: 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, b by 2, and so on.
Problem:['A', '1567', '8545', '6999', '9121', 'G', 'P', 'Z', 't', '6573', 'x',... | 1, 1567, 8545, 6999, 9121, 7, 16, 26, 20, 6573, 24, 20, 23, 4347, 2639, 887, 3917 | 8 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.11792043596506119,
0.11873425543308258,
0.35618317127227783,
-0.4332047700881958,
0.14319320023059845,
-0.6253758072853088,
-0.2221209555864334,
-0.15905533730983734,
0.1414467990398407,
-0.2650139331817627,
-0.03093603625893593,
-0.3501144051551819,
0.18192529678344727,
-0.667369604110... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Der Hammer . Da ich schon einige Alben von Scooter besitze und mir auch diese gekauft h... | POS | 4 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.3377229571342468,
-0.3763299584388733,
-0.23097538948059082,
0.331163227558136,
0.6487758159637451,
-0.4836275577545166,
0.8318687081336975,
0.26555073261260986,
0.2220613807439804,
1.1567046642303467,
0.108080193400383,
0.46659785509109497,
0.3432137966156006,
-0.51887047290802,
0.32... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
Example input: original question: Which class of computer peripheral supp... | Yes | 3 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.38577333092689514,
0.7230206727981567,
-0.17875561118125916,
-0.35835766792297363,
-0.4734533727169037,
-0.7645986676216125,
0.8533520698547363,
0.3180529475212097,
0.15393324196338654,
0.2797614336013794,
-0.03580837696790695,
0.47912633419036865,
-0.3186701536178589,
0.037232920527458... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Q: ראש העיר הלבן ביקר את מר טסלר ואמר, "מר טסלר, אני בטוח שאתה עומד לשכור עובדים לבנים רבים."
A: | عميد البيض زار السيد تسزلر وقال, "سيد تسزلر, أنا واثق انك ستقوم توظيف الكثير من العمال البيض." | 4 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.301971435546875,
0.9424604177474976,
-0.1498935967683792,
-0.512452244758606,
-0.1397099643945694,
-0.09546889364719391,
0.127499058842659,
-0.5637329816818237,
1.376241683959961,
0.10683733224868774,
-0.1185331791639328,
0.8714956045150757,
-0.4855934679508209,
-0.4278479516506195,
0... |
Given the task definition and input, reply with output. You will be given a context and a verb separated with a newline character. You have to decide if the given verb implies a hypothetical or conditioned action or not. We say a verb is hypothetical if it involves or is based on a suggested idea or theory. A verb is c... | Yes | 5 | NIv2 | task457_matres_conditional_classification | zs_opt | [
-0.8573514819145203,
0.721319317817688,
0.25318026542663574,
0.6166496276855469,
-0.05614824220538139,
-0.09962650388479233,
0.2557693123817444,
0.8798834085464478,
0.31070804595947266,
-0.33234867453575134,
-0.6745012998580933,
-0.024292316287755966,
-0.43488770723342896,
0.01598333008587... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: इतिहासकारों के एक दृष्टिकोण के अनुसार इस सभ्यता के अन्... | in opposition her husband Govind Prasad Varma was handsome, scholar,lover of music, unbeliever of god, interested in hunting and roaming,non vegetarian and a smiling person.
| 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.0007229894399642944,
0.29246872663497925,
0.036920417100191116,
0.15299615263938904,
0.052465666085481644,
-0.3699926733970642,
-0.28863853216171265,
0.09607930481433868,
-0.10403316468000412,
0.210942804813385,
0.2658589780330658,
0.25725093483924866,
-0.493985116481781,
-0.75629591941... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity,... | None | 8 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.24891328811645508,
0.877539873123169,
-0.17850443720817566,
-0.26504313945770264,
-0.049194611608982086,
-0.505185604095459,
1.5467218160629272,
-0.18967820703983307,
0.11868184804916382,
-0.3896695673465729,
-0.2370302826166153,
0.5459091663360596,
-0.09899787604808807,
-0.095253154635... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introd... | Some people are eating indoors. | 5 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.6210864782333374,
0.9895344972610474,
0.36831068992614746,
-0.2379463016986847,
-0.1103130504488945,
0.08822529762983322,
-0.2200426161289215,
0.37971481680870056,
0.4959205985069275,
-0.43415844440460205,
-0.807685375213623,
-0.2875432074069977,
-0.14526665210723877,
0.1073520183563232... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will b... | Changed | 1 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.7453318238258362,
0.9327282309532166,
-0.15853847563266754,
-0.1807243674993515,
-0.22445398569107056,
-0.2784055769443512,
0.04632061347365379,
0.6614072322845459,
0.23353591561317444,
-0.2965046763420105,
-0.6467366218566895,
-0.12384454905986786,
-0.38649216294288635,
0.1034941896796... |
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... | Yes | 4 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.19901615381240845,
0.3572612404823303,
0.5299792289733887,
-0.1178835779428482,
-0.4961746037006378,
-0.7350093126296997,
1.2695541381835938,
0.07477392256259918,
-0.5524773597717285,
-0.42129936814308167,
-0.27579373121261597,
-0.48640477657318115,
-0.586111307144165,
0.1261655986309051... |
Part 1. Definition
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 ch... | Mark got an offer to visit wine country. | 7 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.20760740339756012,
0.436398983001709,
-0.130941703915596,
-0.42765429615974426,
-0.2987081706523895,
0.42446714639663696,
0.5579311847686768,
0.5582000613212585,
-0.023344388231635094,
-0.34726381301879883,
-0.480935275554657,
-0.13894546031951904,
-0.1149354875087738,
0.279212415218353... |
You will be given a definition of a task first, then some input of the task.
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 possibl... | Gina runs out of books >Causes/Enables> She asks her mom to take her to a bookstore | 1 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.47775399684906006,
0.21575598418712616,
0.5823577046394348,
0.04097377508878708,
0.5919330716133118,
-0.48745131492614746,
0.28754743933677673,
0.968955397605896,
-0.10899170488119125,
0.2567763030529022,
-0.33027082681655884,
0.15714922547340393,
-0.30636507272720337,
-0.43795847892761... |
You are given a statement written in Malayalam. 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 .
[EX Q]: Statement: <MASK> സംസ്ഥാനമായ കർണാടകയിലെ മംഗലാപുരം ബൊലാരയിലെ ഒരു ഹിന്ദു ക്ഷേത്രമാണ് മംഗളദേവി ക്ഷേത്രം. ന... | അമേരിക്കയിലും
| 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.29237157106399536,
0.5250131487846375,
-0.704557478427887,
0.09190784394741058,
-0.2791156768798828,
-0.3851472735404968,
0.1743471920490265,
0.6607214212417603,
0.3724006414413452,
-0.3120969235897064,
-0.29511386156082153,
0.07145145535469055,
-0.6349167823791504,
-0.19086040556430817,... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: これは昨年1月17日の記事のうちの二つです
Student: | این تنها تعدادی از گزارش های ۱۷ ژانویه ی پارسال است. | 6 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.5799219608306885,
0.5267505645751953,
0.26172471046447754,
-0.6100213527679443,
0.03212755545973778,
-0.38737553358078003,
0.8342812061309814,
0.6495829820632935,
0.43533962965011597,
-0.22912022471427917,
-0.3722379803657532,
-0.1038445383310318,
-0.46236652135849,
0.23964077234268188,... |
Teacher: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 child. Avoid ... | Bob made a big mess with the nailpolish on his girlfriend's nails. | 6 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.6114693880081177,
0.7116783857345581,
-0.09286876022815704,
-0.7636749148368835,
-0.31235164403915405,
-0.01251574233174324,
0.5285155773162842,
0.535346508026123,
-0.09116509556770325,
0.002696945797652006,
-0.24382825195789337,
0.11852402240037918,
0.11768899857997894,
-0.539027452468... |
Definition: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: 4 1/2 c. One Minute oatmeal, 3 1/4 c. all-purpose flour, 2 1/4 c. sugar, 1 Tbsp. baking powder, 1 1/2 tsp. salt, 1 tsp. baking soda
Output... | oatmeal, all-purpose, sugar, baking powder, salt, baking soda | 2 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.4056563973426819,
0.7110753655433655,
-0.021346163004636765,
0.4408412575721741,
-0.09844984114170074,
-0.2943231761455536,
0.5723426938056946,
0.5345454216003418,
-0.27333083748817444,
-0.0994192436337471,
-0.2707691490650177,
-0.3856179714202881,
-0.4812428653240204,
-0.59559261798858... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos... | With fewer humans to fear, flamingos flock to Albania lagoon. | 9 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.9015164971351624,
0.5558030605316162,
-0.4957720637321472,
0.06434398889541626,
0.06766327470541,
-0.8699228167533875,
0.4525832533836365,
0.5093855857849121,
-0.5411118268966675,
0.04599756747484207,
-0.5875508785247803,
0.6573047637939453,
-1.541032314300537,
0.06411582976579666,
0.2... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example input: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example output: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیق... | و فکر کنم دلیل این که چنین دانش آموز وحشتناکی بودم این است که حس می کردم تحصیلات هم جز آن مجموعه موانعی است که پیش رویم سبز شده بود ، و برای رسیدن به بزرگسالی باید از رویشان می گذشتم. | 3 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.22933343052864075,
0.2737470865249634,
-0.21019326150417328,
-0.35445040464401245,
-0.07934403419494629,
-0.11486494541168213,
0.2586643099784851,
0.7773606777191162,
-0.41028454899787903,
-0.2934338450431824,
-0.30412471294403076,
0.19826960563659668,
-0.47113656997680664,
-0.363902330... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Example Input: CONTEXT: Impacto cultural
Se considera que el aumento en la popularidad del género fant... | bajar el gasto público
| 3 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.01567104458808899,
0.4859655499458313,
-0.3597312569618225,
-0.05916814133524895,
0.6528241634368896,
0.22469355165958405,
0.18505001068115234,
0.44369566440582275,
-0.5087425708770752,
0.14030756056308746,
0.1646147072315216,
0.5832874178886414,
-0.33178961277008057,
-0.2076953053474426... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment),... | 0 | 8 | NIv2 | task1612_sick_label_classification | zs_opt | [
-0.942503035068512,
0.21368452906608582,
0.2549801766872406,
0.1389356553554535,
0.248367577791214,
-0.8180402517318726,
0.057400889694690704,
0.6209592819213867,
0.4203944802284241,
0.14675280451774597,
-0.2539156973361969,
-0.15814101696014404,
-0.3889837861061096,
-0.10946231335401535,
... |
Instructions: In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Input: [56.33, -49.847, 176.505, -... | 85.697 | 3 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.3141467273235321,
0.33216995000839233,
-1.2084615230560303,
-1.1224963665008545,
0.16758152842521667,
0.29300475120544434,
0.3422747254371643,
0.22198238968849182,
-0.11611589044332504,
0.08148878812789917,
-1.2744202613830566,
0.33764949440956116,
-0.9689409136772156,
0.030274147167801... |
You will be given a definition of a task first, then some input of the task.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: ... | ¿Cuándo impactó la Tierra el UARS? | 1 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.019020453095436096,
0.5835598707199097,
-0.40015679597854614,
-0.17463397979736328,
0.3867886960506439,
0.24764417111873627,
1.0611239671707153,
0.7169373035430908,
-0.4609605073928833,
0.23673191666603088,
-0.7333666086196899,
0.7800605297088623,
-0.15811258554458618,
0.2746259272098541... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
[Q]: What episode does michael and... | 1988 Summer Olympics
| 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.31902721524238586,
0.5175525546073914,
-0.4048352837562561,
-0.22360585629940033,
-0.15694046020507812,
0.07213826477527618,
1.30451500415802,
0.21478407084941864,
0.40805768966674805,
-0.02916245348751545,
-0.18031276762485504,
0.4213409423828125,
-0.3417752981185913,
-0.05043803900480... |
Teacher:You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Teacher: Now, understand the problem? Solve this instance: System Reference: he san francisco marriott marqu... | 0 | 6 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.08114805817604065,
0.8754910826683044,
-0.40974730253219604,
-0.38668209314346313,
-0.06811635941267014,
-0.9956853985786438,
0.5883030891418457,
0.41009873151779175,
0.48165759444236755,
0.15999659895896912,
-0.3573102653026581,
-0.09251350909471512,
-0.44631871581077576,
-0.3446838259... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Aceia sunt parțial psihopați. | Those are partial psychopaths. | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.1133137196302414,
0.28627800941467285,
0.37873947620391846,
-0.5910892486572266,
-0.642912745475769,
-0.5629853010177612,
1.4728617668151855,
0.022586610168218613,
1.5068272352218628,
-0.2746705710887909,
-0.45859813690185547,
0.7743056416511536,
-0.9858575463294983,
0.01629626005887985... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
הוא שם אותם ביחד, עיצב אותם למשהו יותר מעניין מאשר המרכיבים המקוריים ואז הכניס את כל זה לתוכנה זו, שלפי דעתי בנו פיתח אותה במקור, ויצר את המצגת הנפלאה הזו.
A: | ووضعها مع بعضها ، جمعها في شكل أكثر جاذبية من القطع الأصلية وبعد ذلك أدخلها في هذا البرنامج ، الذي أعتقد أن ابنه قام بتطويره ، من الأساس ، وأنتج هذا التقديم المدهش ، | 7 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.4213206470012665,
0.6330951452255249,
0.5711224675178528,
-0.3118046522140503,
-0.3839796185493469,
0.41299915313720703,
0.7911331057548523,
0.3157411217689514,
1.1493442058563232,
0.16242249310016632,
-0.764255940914154,
0.41850972175598145,
-0.813217282295227,
0.8184261322021484,
-0... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: لذلك يمكنكم رؤية أن في أقدم كتب التقليد الإغريقي هوميروس ، هناك زيادة صغيرة في كون الكتب تقترب من مفهوم التأمل الذاتي.
Output: | ホメロスの伝承の時代には内省に近づいた書物の増加傾向は小さく | 2 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.39220964908599854,
-0.07892104983329773,
-0.6723849177360535,
-0.6812432408332825,
0.030572472140192986,
-0.02785845659673214,
1.0417826175689697,
-0.8145664930343628,
1.144848346710205,
-0.7395089864730835,
-0.7352405786514282,
-0.11401063203811646,
-0.9700300693511963,
-0.007535113021... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Q: CONTEXT: Servicios
Debido a su tardía incorporación a la zona urbana, así como a sus particulares c... | sus brazos ya no eran paralelos
****
| 4 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
-0.06389512866735458,
0.4102553129196167,
-0.17317911982536316,
0.27257466316223145,
0.7312120795249939,
0.08996103703975677,
0.894636869430542,
1.3295565843582153,
0.18032033741474152,
0.04538259655237198,
0.2077982872724533,
0.5557376146316528,
-0.3121609091758728,
-0.04742998629808426,
... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | -95.726 | 4 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.4771522879600525,
0.38399234414100647,
-0.04933229088783264,
0.5996322631835938,
0.1818239390850067,
-0.32703524827957153,
1.0583237409591675,
1.078843116760254,
0.12801925837993622,
-0.1754995435476303,
-0.27415698766708374,
0.15775039792060852,
0.026471197605133057,
0.18967270851135254... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Q: But both Spinelli and Liman understood that , as with the Bush family , they could n't tell Seal 's story a... | Why Bill Clinton And George W. Bush Are Portrayed In A Tom Cruise Movie About An Infamous Drug Smuggler . | 4 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.24431514739990234,
0.4600387513637543,
-0.34375208616256714,
0.49255621433258057,
0.45506125688552856,
0.028493866324424744,
0.590557336807251,
0.7523095011711121,
-0.02902580425143242,
1.0317842960357666,
0.3268207013607025,
1.0170838832855225,
0.10545206815004349,
0.034927185624837875... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2)... | Ensin istui hän ääneti ja hämillään, ja sitten hän purskahti sydämelliseen nauruun. | 0 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.5775736570358276,
0.7855782508850098,
0.37120842933654785,
-0.4761804938316345,
0.08946885168552399,
-0.36188745498657227,
1.1428394317626953,
-0.05633282661437988,
0.1409173607826233,
-0.5386064052581787,
-0.372894823551178,
0.885602593421936,
-1.324844241142273,
0.5260536670684814,
... |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can ... | we will be flying to attend funeral. | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.0443410687148571,
0.8119890093803406,
-0.037800561636686325,
0.24605360627174377,
-0.36718693375587463,
-0.3626967966556549,
0.9697336554527283,
0.6533535122871399,
0.13662835955619812,
-0.024919871240854263,
-0.5157508850097656,
-0.11333441734313965,
0.2620110511779785,
0.3082730770111... |
Given the task definition and input, reply with output. In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the informat... | What year did Eisner's "Mad Dog" ad for Zima originally air? | 5 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
-0.04956959933042526,
0.3581905961036682,
-0.20356163382530212,
0.08422400057315826,
-0.33586636185646057,
0.4716680347919464,
0.39035943150520325,
0.7568013072013855,
-0.010206618346273899,
0.22288715839385986,
-0.008282089605927467,
0.7948551177978516,
-0.04108363762497902,
-0.0449101142... |
TASK DEFINITION: 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.
PROBLEM: Text: Onwetendheid van de instrumenten voor uw winkel promotie zou kunnen eindigen in een gebrek aan verkeer en (vandaar) minder orders.Zelfs als j... | Dutch
| 8 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.31116369366645813,
0.3314853012561798,
0.10714200139045715,
-0.22512918710708618,
0.433505117893219,
-0.25974419713020325,
0.04733796417713165,
0.5974410176277161,
0.10237904638051987,
0.24282747507095337,
0.15754202008247375,
0.7410247325897217,
-0.5238536596298218,
-0.17320111393928528... |
Detailed Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Q: Get the waffle cone! The surprise at the end is a nice surprise!\nMany flavors to pick from and the employees are always nice.\nMissing a 5th star only because they do not take cards w... | 4 stars | 9 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
0.6465685367584229,
0.04312798008322716,
-0.446977436542511,
-0.3350173234939575,
0.41322335600852966,
-0.5739669799804688,
0.27299171686172485,
0.9665317535400391,
0.12528416514396667,
0.199136421084404,
0.8278915882110596,
-0.5298222303390503,
-0.5908081531524658,
0.45855268836021423,
... |
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: 'The caves here are later than the ones at Ajanta - as Buddhism waned and Hinduism had a renaissance as the main religion of India , Ajanta ... | be religion of | 4 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.28956538438796997,
0.31048157811164856,
-0.216038316488266,
-0.016830792650580406,
-1.2965874671936035,
-0.5116375684738159,
-0.2694547474384308,
0.5769537687301636,
-0.46154770255088806,
-0.9217334985733032,
0.025190971791744232,
0.13070818781852722,
-0.59181147813797,
0.423534333705902... |
Detailed Instructions: In this task, you are given a list of integers and an integer k. You need to find the kth smallest element in the input list and return that.
See one example below:
Problem: [163, 290, 90, 51, 96, 86, 282, 265, 10, 85, 91, 201, 68, 126, 26, 228, 229, 236, 31, 71], k=14
Solution: 201
Explanation: ... | 192 | 4 | NIv2 | task1406_kth_smallest_element | fs_opt | [
-0.14915384352207184,
0.845415472984314,
-0.4704004228115082,
-0.6764634251594543,
-0.3032273054122925,
-0.16698336601257324,
1.5553990602493286,
-0.5119430422782898,
-0.24309608340263367,
0.5140222311019897,
-0.8704612255096436,
-0.04512409493327141,
0.2017897516489029,
0.0601117908954620... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
One example is below.
Q: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product... | True | 9 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.06893231719732285,
-0.8277458548545837,
0.09368623048067093,
-0.18094989657402039,
0.12068969011306763,
-0.36508122086524963,
-0.32553791999816895,
0.912520170211792,
-0.5466607213020325,
-0.3275997042655945,
-0.4003342092037201,
0.05037103593349457,
-0.5947784185409546,
-0.2445402443408... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Output: N
| 2 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-1.0906726121902466,
0.6863703727722168,
-0.05590186268091202,
-0.3764529228210449,
0.09885528683662415,
0.16060669720172882,
0.16329573094844818,
0.769589900970459,
0.1397230625152588,
0.056911710649728775,
-0.5514997839927673,
0.26007699966430664,
-0.4463343620300293,
-0.2601427733898163... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the i... | ironic | 9 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.3318588733673096,
0.46216055750846863,
0.6868698596954346,
0.30723249912261963,
-0.3923381268978119,
0.311049222946167,
0.48207390308380127,
0.07228469103574753,
0.7438235878944397,
-0.13777397572994232,
-0.2673035264015198,
-0.17299573123455048,
-0.6533434391021729,
-0.0002519367262721... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Ex Input:
Jessica wanted to fix a broken nail while Elena wanted to fix a broken friendship. _ fixed the broken nail. (A) Jessica (B) Elena
Ex Output:
A... | B
| 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.019983451813459396,
0.5243974924087524,
0.15371140837669373,
-0.09012972563505173,
-0.20290417969226837,
-0.8050089478492737,
0.702934741973877,
0.8133214116096497,
0.3051995038986206,
0.23992779850959778,
0.5188009738922119,
0.6485179662704468,
0.6313359141349792,
-0.20326462388038635,... |
Definition: In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
Input: Navi Pillay, the UN's Human Rights watchdog, was particularly critical of Prime Minister Julia Gillard's asylum seeker trade deal with Malaysia.
Output: | Si Navi Pillay, ang tagabantay ng Karapatang Pantao ng UN, ay lubhang kritikal sa kasunduan sa paghahanap ng asilo ni Prime Minister Julia Gilliard sa pagitan ng Malaysia. | 2 | NIv2 | task559_alt_translation_en_fi | zs_opt | [
-1.26230788230896,
-0.030134040862321854,
0.021550290286540985,
-0.6196997761726379,
0.2536858320236206,
0.19728142023086548,
0.2755644619464874,
-0.17242100834846497,
-0.2804935574531555,
0.3483063280582428,
-0.5488160252571106,
-0.2149103283882141,
-0.10499086230993271,
-0.09075546264648... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ... | Ты ходила бы в школу, потому что твои родители заставляли тебя. | 1 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.3124675154685974,
0.5582649111747742,
0.29329150915145874,
-0.2843589186668396,
-0.2785186767578125,
0.5026538968086243,
0.3158143162727356,
0.8755360841751099,
0.38234943151474,
-0.48392656445503235,
-0.6912932395935059,
-0.2839643061161041,
-0.06749702990055084,
-0.24826475977897644,
... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | family on the picnic in park | 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.643898069858551,
0.27860796451568604,
-0.6908062696456909,
-0.3427572250366211,
-0.2588404715061188,
-0.7244812846183777,
0.49157488346099854,
0.47379153966903687,
0.4501522183418274,
-0.6440714597702026,
-0.33549538254737854,
0.7351320385932922,
-0.685645580291748,
0.12075106799602509,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example solution: The mailbox was bent and broken and looked like someone had knocked it ... | Solution: Gift and Gourmet is your one stop gift shop located at 751 North Austin Street in beautiful Seguin Texas just minutes away from San Antonio , New Braunfels and San Marcos . | 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.18898195028305054,
0.5892072916030884,
-0.018035467714071274,
0.17912228405475616,
0.35751932859420776,
-0.6373950242996216,
0.24756887555122375,
1.0062618255615234,
-0.015119987539947033,
-0.38538187742233276,
0.027370510622859,
0.07704326510429382,
-1.1215229034423828,
-0.1378543525934... |
Given the task definition and input, reply with output. 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 ma... | Yes | 5 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.6042772531509399,
0.4498496651649475,
0.20292659103870392,
0.0833175927400589,
-0.4879522919654846,
-0.29988130927085876,
-0.22885029017925262,
0.7467021942138672,
-0.18595942854881287,
-0.14430025219917297,
-0.5215948820114136,
-0.1469210684299469,
-0.32731813192367554,
0.0109212482348... |
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... | very old men.
| 0 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.7309586405754089,
0.9980918169021606,
-0.6322065591812134,
0.7200115323066711,
-0.5837832093238831,
-1.7445893287658691,
0.6197320222854614,
0.9792298674583435,
-0.7594665884971619,
0.17972731590270996,
-1.2243142127990723,
0.24848800897598267,
-0.866510272026062,
1.043748140335083,
0.... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Example Input: Hundreds of bones are laid out on the floor and Dr Hilary Ketchum, of the Oxford Museum of Natural History, has kindly offered to piece them all together.
It takes more than an hour to slot the makeshift skeleto... | The boss of Easyjet says the airline has seen its costs increase by £40m ($53m; €48m) in just four weeks, as a result of the pound's drop in the wake of Britain's vote to leave the EU.
| 3 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.4890764355659485,
0.053793683648109436,
-0.9115346074104309,
0.43435364961624146,
0.4374360144138336,
-0.282220721244812,
-0.007943494245409966,
0.6129601001739502,
0.00803439598530531,
0.4249279499053955,
0.2474564015865326,
0.43425410985946655,
-0.39988699555397034,
1.030396819114685,
... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Q: my world is called jessica-land , and everyone worships queen jessica because jessica is so beautiful .
A: in my world they all worship que... | the analysis provided estimates of credit losses on the basis of two macroeconomic scenarios , a baseline scenario and a negative scenario .
****
| 4 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.8041713833808899,
1.2053093910217285,
-0.6687254905700684,
-0.2108047604560852,
-0.21240831911563873,
-0.746195912361145,
-0.12030264735221863,
-0.11429183185100555,
-0.2520844340324402,
-0.2081678807735443,
0.18877199292182922,
-0.035862214863300323,
-0.03545180708169937,
0.36490249633... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Example: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example solution: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example explanation: T... | Solution: napisały program pomagający rodzicom w wyborze najlepszej szkoły dla dziecka. | 5 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.8658098578453064,
1.067250370979309,
-0.3404324948787689,
-0.5459632873535156,
-0.18940037488937378,
-0.6637377738952637,
1.2471438646316528,
0.11824223399162292,
-0.1675613820552826,
-0.17769217491149902,
-0.4449436664581299,
0.9822806119918823,
0.15327931940555573,
0.178714781999588,
... |
Teacher:In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? Solve this instance: Travis Henderson (Harry Dean Stanton) is walking al... | Answer: Car | 6 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.7647206783294678,
0.13096851110458374,
-0.2769605219364166,
-0.04018412157893181,
0.38762879371643066,
-0.4110203981399536,
0.7813916206359863,
0.7337639331817627,
-0.14408883452415466,
0.20713141560554504,
-0.19772648811340332,
0.5463727116584778,
-0.39173322916030884,
0.486482024192810... |
Detailed Instructions: 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... | what is the meaning of mingle? | 9 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.5323435664176941,
1.4210870265960693,
0.10476288944482803,
0.054202474653720856,
-0.124289870262146,
-0.3728840947151184,
0.5786093473434448,
0.5815176963806152,
-0.6668809056282043,
0.43043193221092224,
-0.5823323130607605,
-0.49471738934516907,
-0.8306989669799805,
0.4096936583518982,
... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
私は神からの思し召しだと言いました
A: | إشارة من الرب ، قالوا | 7 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.08789436519145966,
0.08350320160388947,
0.07115750014781952,
-0.7156438231468201,
-0.7148879766464233,
-0.3863397240638733,
0.7072238326072693,
-0.30087780952453613,
0.5085281133651733,
0.01197134517133236,
-0.2422873079776764,
-0.3293123245239258,
-0.47633984684944153,
0.540858745574951... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.4059649705886841,
0.6339129209518433,
0.3025335371494293,
-0.1224416047334671,
-0.6479179859161377,
-1.3800246715545654,
1.4335739612579346,
0.170420840382576,
-0.4229506850242615,
-0.3873516321182251,
-0.2940743863582611,
-0.3179374039173126,
-0.8706053495407104,
0.536392867565155,
0.... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'be body of', Argument/Subject 1: 'council', Argument/Subject 2: 'association'
A: | The NCJA 's core membership comprises high-level state executive branch officials who have been designated by their governors as their state 's representative to NCJA 's Advisory Council , the association 's governing body . | 4 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.12888562679290771,
1.1098010540008545,
0.3305891454219818,
-0.009377422742545605,
-0.457954466342926,
-1.472975254058838,
0.6322652101516724,
0.2792346477508545,
0.10803411900997162,
-0.4823067784309387,
0.23589806258678436,
-1.0896141529083252,
-0.6034290790557861,
0.4925388693809509,
... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and t... | 5a, 4b | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.12550416588783264,
0.3584742844104767,
-0.36497312784194946,
-0.16906484961509705,
-0.12012532353401184,
-0.031881533563137054,
0.3916846513748169,
1.4804925918579102,
-0.7772181034088135,
0.3767884373664856,
-0.2739644944667816,
-0.355105996131897,
-0.32698044180870056,
-0.152927815914... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | majority | 8 | NIv2 | task212_logic2text_classification | fs_opt | [
0.20803022384643555,
-0.28785625100135803,
-0.4118841290473938,
0.3305879533290863,
0.34982728958129883,
-0.48991432785987854,
0.7643831968307495,
0.7273269891738892,
0.308025598526001,
-0.03363146260380745,
-0.07871904969215393,
0.18912352621555328,
-0.0909663662314415,
0.4207877218723297... |
Given the task definition and input, reply with output. In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
the european commission unveiled sweeping plans wednesday to diversify eu energy sources , slash carbon emissions by ## percent and enforce fuel compe... | UNK eu unveils vast energy plan to protect supplies environment | 5 | NIv2 | task288_gigaword_summarization | zs_opt | [
-0.7718330025672913,
0.8982288837432861,
0.25900688767433167,
-0.3037749230861664,
-0.4293828010559082,
-0.8622392416000366,
0.047644298523664474,
0.32289043068885803,
0.10769106447696686,
0.35487425327301025,
-0.23437467217445374,
0.3490446209907532,
0.21089911460876465,
-0.25133028626441... |
In this task, you need to reverse the order of words in the given sentence.
Example input: Sentence: luggage surrounds a vehicle in an underground parking area
Example output: area parking underground an in vehicle a surrounds luggage
Example explanation: This is a correct answer, as it correctly reverses the order of... | racquet tennis holding other each to next standing guys of couple a | 3 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.17448069155216217,
0.6454023122787476,
-0.27452367544174194,
-0.10804431885480881,
-0.16854070127010345,
-0.24802708625793457,
0.3049788475036621,
0.2874871790409088,
0.9546712636947632,
-0.3911958932876587,
-0.9725984334945679,
0.20251314342021942,
-0.05673982575535774,
-0.406284868717... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | He tried to ditch the dog. | 4 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.5579763650894165,
0.18544135987758636,
0.25285470485687256,
0.42904794216156006,
0.18315547704696655,
-0.9044444561004639,
-0.3001291751861572,
1.2499501705169678,
-0.14292575418949127,
-0.43655240535736084,
-0.6716864109039307,
-0.035161808133125305,
-0.46218645572662354,
0.134515538811... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Unfortunately for you @FLOTUS and @POTUS I wasn't alone when y... | flotus and potus | 1 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-1.0938501358032227,
1.0375697612762451,
-0.03887674957513809,
0.49175915122032166,
-0.27960360050201416,
-1.177919864654541,
-0.16551534831523895,
0.2448890507221222,
-0.21563392877578735,
-0.3725356459617615,
0.4531319737434387,
0.07367509603500366,
0.5029039978981018,
0.3503786027431488... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Input: Consider Input: PersonX suits PersonY's needs
Ou... | Output: bit better
| 2 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.15499064326286316,
0.9899247288703918,
-0.053504034876823425,
-0.7066376209259033,
-0.35015052556991577,
-0.4828914999961853,
0.9708301424980164,
0.7534182667732239,
0.34152621030807495,
-0.5170373916625977,
-0.13106432557106018,
0.37854352593421936,
-0.8327434062957764,
0.1075375899672... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Der Effekt des Hinzufügens einer Spalte von Zahlen ist das Hinzufügen von Sachen.
| 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.41939181089401245,
0.16588889062404633,
-0.15795694291591644,
-0.45924633741378784,
0.05393878370523453,
-0.20550252497196198,
0.658414363861084,
0.3838217854499817,
0.387328177690506,
0.2635830044746399,
-0.6577374935150146,
-0.011381205171346664,
-0.6534810066223145,
0.031425073742866... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: میفهمید که کالسکه فقط و فقط برای خود اوست، .
A: She felt that the carriage was for herself, and herself alone:
****
Q: شما رفتاری با من کردهاید که هر مردی که از زنی زاده شده باشد در انجام آن نسبت به بدترین دشمنان خ... | It is one of her aristocratic tastes, and quite proper, for a real lady is always known by neat boots, gloves, and handkerchief,'
****
| 4 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.14112703502178192,
0.7785604000091553,
-0.525670051574707,
0.07942578941583633,
-0.3114284873008728,
-0.2941913604736328,
0.5800003409385681,
0.6632715463638306,
0.7115761637687683,
0.2794947624206543,
-0.7843843698501587,
0.9340789914131165,
-0.4025634825229645,
0.36351263523101807,
... |
Given the task definition, example input & output, solve the new input case.
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example: ਆਮਦਨ ਟੈਕਸ ਐਕਟ ਦੀ ਧਾਰਾ 50ਸੀਏ ਅਤੇ 56 ਦੇ ਦੁਰਵਿਵਹਾਰ ਵਿਰੋਧੀ ਪ੍ਰਾਵਧਾਨਾਂ... | મેઘાલય, ત્રિપૂરા અને મિઝોરમ સૌ પ્રથમ વખત ભારતના રેલવે મેપ હેઠળ મૂકાયું છે. | 1 | NIv2 | task1044_pib_translation_punjabi_gujarati | fs_opt | [
0.11987193673849106,
0.4439406991004944,
0.29162657260894775,
0.1903310865163803,
0.6482912302017212,
-0.557975172996521,
0.21305549144744873,
0.6128523349761963,
0.027112536132335663,
0.38366854190826416,
-0.3266746997833252,
-0.9265725612640381,
-0.34787625074386597,
-0.21531584858894348... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_suitcase | 4 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-1.1078400611877441,
-0.2514961361885071,
-0.0832023024559021,
-0.536461353302002,
-0.5335107445716858,
-0.3606693744659424,
0.23252132534980774,
0.2966516613960266,
-0.6776115298271179,
-0.32507389783859253,
0.48405396938323975,
0.20652492344379425,
-0.4620250463485718,
0.4676253795623779... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Ex Input:
Sentence:... | Yes
| 1 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.6110287308692932,
0.7280811071395874,
-0.04401267319917679,
0.2123059332370758,
-0.029073812067508698,
-0.4615951180458069,
0.31468600034713745,
0.4990628957748413,
0.1646725833415985,
-0.3352122902870178,
-0.5944347381591797,
0.39820241928100586,
-0.09015592932701111,
0.070125214755535... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example solution: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کو... | Solution: نقطه سیاه نمایانگر میانگین فعالیت های مغزی در تعامل با یکدیگر است. | 5 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
0.028555305674672127,
0.15125694870948792,
-0.483537495136261,
-0.3215314745903015,
-0.25195178389549255,
0.06663230061531067,
0.5442920923233032,
0.8129414319992065,
-0.12933167815208435,
-0.424433171749115,
-0.797935426235199,
0.326943039894104,
-0.39282089471817017,
0.010674260556697845... |
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.
[Q]: [-49, -16.175, 60, 5.932, ... | [20, 25]
| 5 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.17638972401618958,
0.6197583675384521,
-0.24204601347446442,
-0.7057274580001831,
-0.17472076416015625,
-0.33033064007759094,
1.2084928750991821,
0.39220985770225525,
0.010058111511170864,
-0.12475897371768951,
-0.3546326160430908,
0.5445438623428345,
-0.5583186745643616,
-0.15752246975... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Sentence 1: The self-help center will be the only one of its kind in the cou... | yes | 7 | NIv2 | task199_mnli_classification | zs_opt | [
-0.45980048179626465,
0.752752423286438,
0.7137080430984497,
-0.30188649892807007,
0.19821298122406006,
-1.1565786600112915,
0.14425303041934967,
1.189315915107727,
0.4529813826084137,
0.06275597959756851,
0.023119106888771057,
-0.7757936716079712,
-0.6706457734107971,
0.022203639149665833... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Input: Consider Input: E de cada vez que faço Arte Pública, quero uma coisa que seja realmente relevante para o lugar onde está instalada.
Output: Zawsze kiedy tworzę sztukę publiczną chcę pokazać coś naprawdę istotn... | Output: Żyjemy w niesamowicie złożonym świecie, Żyjemy w niesamowicie złożonym świecie, Wykorzystujemy algorytmy, aby go trochę przefiltrować, by móc się po nim poruszać.
| 2 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.230549618601799,
0.9987108707427979,
-0.029643505811691284,
-0.05353996157646179,
-0.4021676480770111,
-0.22404618561267853,
0.5050324201583862,
-0.287283718585968,
0.461417019367218,
-0.03953055292367935,
-0.40801388025283813,
0.5036543607711792,
-0.1875395029783249,
-0.452282190322876... |
In this task, you need to remove 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: 'a large tree next to a bench on a field'. Remove all words of length '2' in the given sentence. | a large tree next a bench a field | 0 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.2188192903995514,
0.46948981285095215,
-0.4338909983634949,
-0.998507559299469,
-0.35004642605781555,
-0.8236610889434814,
0.3157912790775299,
0.5609170794487,
0.12415064871311188,
-0.4809924066066742,
-1.2187905311584473,
-0.493817538022995,
-0.779627799987793,
-0.1206902265548706,
0... |
Part 1. Definition
In this task, we ask you to write an implausible answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Even though there exist ... | 10 months. | 7 | NIv2 | task005_mctaco_wrong_answer_generation_event_duration | fs_opt | [
0.39484336972236633,
0.5659655928611755,
-0.1336022913455963,
-0.47083184123039246,
-0.6980029344558716,
-0.08552399277687073,
0.8586952090263367,
0.3125346302986145,
-0.13530729711055756,
-0.3518514037132263,
-0.22904132306575775,
0.5534548759460449,
-0.6586880683898926,
-0.14584998786449... |
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 | 8 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.20638540387153625,
0.5880247354507446,
-0.0970291942358017,
-0.04843294620513916,
-0.22460775077342987,
0.1497611403465271,
0.47418785095214844,
0.9410271048545837,
0.3804934024810791,
-0.25663256645202637,
-0.718140721321106,
-0.01482266467064619,
-0.6756855845451355,
0.129632025957107... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
One example is below.
Q: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refibrillate before hospital arrival. Th... | Coronary angioplasty for early postinfarction unstable angina. | 9 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
0.6123030781745911,
0.1978633552789688,
-0.2914363443851471,
-0.15951448678970337,
0.550227701663971,
-0.20751234889030457,
0.7569704651832581,
0.6186814308166504,
0.13604074716567993,
0.6111197471618652,
-0.3768531382083893,
0.2975347936153412,
-0.11038181930780411,
0.598685622215271,
-... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
我々が築いた国家権威は砂の城であり人々は自然にあるべきか教化 （ 文明化 ） されるべきかをテーマとしていますヘレン・ミレン演じるプロスペラが最後に語る言葉です人々は自然の下大きな嵐の中文明を築き上げますが雲に覆われた塔や豪華な宮殿はやがて朽ち果てて何も残りません
| To był zamek z piasku, temat "" natura kontra kultura "", budowa cywilizacji. Prospera Helen Mirren mówi na końcu: budujemy je, lecz pod wpływem natury, pod naporem burzy, te wieże wśród chmur, te wspaniałe pałace znikną i nie zostawią po sobie śladu. | 5 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.6478213667869568,
1.391305685043335,
-0.016534237191081047,
-1.1661581993103027,
-0.3157326579093933,
-0.3084861934185028,
-0.11259967088699341,
-0.2749529778957367,
-0.6255459189414978,
-0.6348484754562378,
-0.5605360269546509,
0.5902652740478516,
-0.5796427726745605,
-0.514776229858398... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: برون ، سريع برو .
Student: | drive , fast . | 6 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.3473355770111084,
1.0058457851409912,
0.03629915788769722,
-0.8086493015289307,
-0.3331686556339264,
0.1327562779188156,
0.2996102273464203,
0.6080707907676697,
0.9301667809486389,
-0.4327661991119385,
-0.4190811216831207,
0.38003814220428467,
-0.34950652718544006,
-0.1897859275341034,
... |
Given the task definition and input, reply with output. In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Johnny Lewis DEEP Scientology Ties
EXCLUSIVE
-- the "Sons of Anarchy" star who murdered his landlady, dismembered her cat and th... | Details of Johnny Lewis' troubled life are pouring out after the former Sons of Anarchy actor was found dead after allegedly killing his landlord Wednesday: The 28-year-old had been arrested at least three times this year, the Los Angeles Times reports: once for breaking into a home and beating two men inside, once for... | 5 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.24543912708759308,
0.591074526309967,
-0.4232412576675415,
0.13690783083438873,
0.36660897731781006,
-0.6760618686676025,
-0.09172458201646805,
1.0564539432525635,
-0.045985106378793716,
0.17440545558929443,
0.17492450773715973,
0.7154373526573181,
-0.7796647548675537,
0.0966902077198028... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Il secondo problema di questi meccanismi è che puoi sempre trovare il modo di disattivarli.
A: | O outro problema cos mecanismos de compromiso é que sempre podes escapar deles. | 7 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.5106222629547119,
0.9962718486785889,
0.199355810880661,
-0.3031873106956482,
-0.052267059683799744,
-0.5145784020423889,
0.6372122764587402,
1.1866562366485596,
-0.08176983892917633,
-0.1579921841621399,
-0.5618413686752319,
0.11348682641983032,
-0.4301997423171997,
0.7147139310836792,... |
TASK DEFINITION: In this task, you are to Translate German text to English
PROBLEM: Die vorgeschlagene Loesung ist anwendbar zur Befestigung schwellenlos elastisch gelagerter Schienen im Bereich des Ueberganges zwischen Brueckenueberbau und Gelaende.
SOLUTION: The proposed solution is applicable for the attachment of ... | Said section (31) acts then as a coupling section.
| 8 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.3072815537452698,
0.42664939165115356,
-0.20262320339679718,
-0.26981139183044434,
-0.13168086111545563,
0.9168583154678345,
0.9825000762939453,
0.36331626772880554,
-0.04088181257247925,
-0.693331778049469,
-0.11580121517181396,
0.5265055894851685,
0.30298835039138794,
0.31124487519264... |
Detailed Instructions: 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".
Q: English: Goldman's complaint asserts that he was discriminated a... | Yes | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.6594891548156738,
0.07132178544998169,
0.6076490879058838,
-0.05052054673433304,
-0.2864190340042114,
-1.1091411113739014,
-0.023441821336746216,
0.18534047901630402,
-0.03691060096025467,
-0.5017286539077759,
-0.006119870115071535,
0.007853584364056587,
-0.37121981382369995,
0.56257367... |
Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the twee... | f*ck <censored> white gays and f*ck <censored> their smelly loose cyst infested assholes | 3 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.7060613036155701,
0.8026101589202881,
0.29565346240997314,
-0.03450925648212433,
-0.16401180624961853,
-0.7061376571655273,
-0.5030977725982666,
0.8940253853797913,
0.20515874028205872,
0.5664599537849426,
-0.8373736143112183,
0.5444018840789795,
-0.26451587677001953,
-1.425765752792358... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
[Q]: im just feeling grumpy and impatient and im ready to get things moving
[A]: anger
[Q]: i feel like i m damaged goods and that he des... | love
| 5 | NIv2 | task875_emotion_classification | fs_opt | [
-0.4376087784767151,
0.45882052183151245,
0.9805867075920105,
-0.5029492378234863,
-0.1607256829738617,
-1.0011320114135742,
0.1336473971605301,
0.5954617261886597,
0.08434846997261047,
-0.6848524808883667,
-0.5710936188697815,
-0.012408756650984287,
-1.1555163860321045,
-0.553406238555908... |
Instructions: In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is '... | This difficult idea seems to evade her. | 3 | NIv2 | task626_xlwic_sentence_based_on_given_word_sentence_generation | zs_opt | [
0.03590595722198486,
1.3025822639465332,
0.3575896918773651,
-0.5508731603622437,
-0.35949718952178955,
-0.599007248878479,
0.41454100608825684,
0.4087159037590027,
-0.09909629076719284,
-0.28699740767478943,
-0.6499770879745483,
-0.26076948642730713,
-0.7312893867492676,
-0.06244495138525... |
Teacher:In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Teacher: Now, understand the problem? Solve this instance: Abstract: Parathyroid hormone (PTH), a major regulator of bone metaboli... | yes | 6 | NIv2 | task1587_scifact_classification | zs_opt | [
0.4989500939846039,
0.3913242220878601,
-0.4324967563152313,
0.48644739389419556,
0.3082597255706787,
-0.7905706167221069,
0.5366030335426331,
0.8016610145568848,
0.30988046526908875,
0.13997143507003784,
-0.7805366516113281,
0.021800320595502853,
-0.33750081062316895,
0.047611258924007416... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a red and yellow bus next to some bikes'. How many words end with the letter 's' in the sentence.
2
Sentence: 'a bunch of people stand atop of a green hill'. How many words e... | 2
| 0 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.15461322665214539,
0.8175677061080933,
-0.3343179225921631,
-0.33764228224754333,
-0.7231327295303345,
-0.5419790744781494,
0.32273244857788086,
0.36383840441703796,
0.7868963479995728,
-0.5580790042877197,
-0.18709373474121094,
0.43177780508995056,
0.4576777517795563,
0.1443731635808944... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Part 2. Example
وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Answer: Cando chegas a estas sociedades en desenrolo, as mull... | Pero moitos doentes de alzhéimer non poden defenderse por si mesmos. | 7 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.8374446630477905,
1.2767765522003174,
-0.23110321164131165,
-0.337332546710968,
0.025057068094611168,
-0.31115078926086426,
0.9865828156471252,
1.0296283960342407,
0.32977113127708435,
0.045411497354507446,
-1.121177077293396,
0.7650277614593506,
-0.915278434753418,
0.16207630932331085,... |
Given the task definition, example input & output, solve the new input case.
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Example: Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a g... | Unknown | 1 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.5933717489242554,
0.3040647506713867,
0.1988673359155655,
-0.07852739095687866,
0.12179644405841827,
-0.3388735055923462,
0.7236189842224121,
0.2710704505443573,
0.4028380215167999,
0.05664103478193283,
0.09505538642406464,
0.21656052768230438,
-0.20878857374191284,
0.022317029535770416... |
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.
Input: Consider Input: 7371 - 9025 + 8352 - 9201 - 9297 - 3561 + 8576
Output:... | Output: 6811
| 2 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.684502363204956,
0.09158056974411011,
-1.0457696914672852,
0.06393593549728394,
-0.34822413325309753,
0.09134696424007416,
0.22036966681480408,
1.3497512340545654,
0.5100891590118408,
-0.5609908699989319,
-0.6517826318740845,
-0.08758661895990372,
-0.38469329476356506,
0.087448671460151... |
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