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 |
|---|---|---|---|---|---|---|
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: கவுஷிக் கங்குலி
Example solution: ਕੌਕਸ ਗਰੂਕੁਲੀ
Example explanation: Correct translation for given sentence. Input sentence means 'Causk gunkuli' w... | Solution: ਬਿਜਲੀ ਸਾਰੇ ਗ੍ਰਾਮੀਣ ਖੇਤਰਾਂ ਵਿੱਚ ਪਹੁੰਚ ਗਈ ਹੈ। | 5 | NIv2 | task1016_pib_translation_tamil_punjabi | fs_opt | [
-0.3191392421722412,
1.1940644979476929,
0.07696875184774399,
-0.16267646849155426,
-0.136948823928833,
-2.1269664764404297,
1.002354621887207,
-0.32067614793777466,
-0.3439074754714966,
0.5335942506790161,
-0.4224766194820404,
0.11615713685750961,
-0.8245540857315063,
0.22691717743873596,... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Let me give you an example: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remov... | butternut squash, rosemary, extra virgin olive oil, kosher salt, bacon, shallots, garlic, flour, milk, nutmeg, whole wheat penne, provolone | 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.5626453161239624,
0.538273274898529,
-0.4168564975261688,
0.4716271162033081,
-0.17397533357143402,
0.5285995602607727,
1.0287892818450928,
0.8218026161193848,
0.10478110611438751,
0.07206422090530396,
0.1390838623046875,
0.08364573866128922,
-0.3013516068458557,
0.3053155541419983,
0.... |
instruction:
Given a premise and two alternatives in Hindi, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'कथन' field and the alternatives are the 'विकल्प A' and 'विकल्प B' fields. The output should either be "विकल्प A" or "विकल्प B" base... | विकल्प A
| 9 | NIv2 | task938_copa_hi_commonsense_reasoning | fs_opt | [
-0.48818862438201904,
0.021975837647914886,
-0.11212171614170074,
0.49237823486328125,
-0.47359347343444824,
-0.31035786867141724,
0.17028537392616272,
0.9707604050636292,
0.30433952808380127,
-0.26826047897338867,
-1.055600643157959,
0.1657218486070633,
-0.03233708441257477,
-0.0880089700... |
Detailed Instructions: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. ... | no i am looking for information on housing outpatients | 8 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
0.12040460109710693,
0.24261733889579773,
-0.28939658403396606,
-0.4634583592414856,
0.4797455072402954,
-0.0470585934817791,
0.7091171741485596,
0.8972657322883606,
0.454639196395874,
0.6130371689796448,
-0.1463426798582077,
-0.4231845438480377,
-0.3369598388671875,
0.005221306812018156,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write ... | Donald's tooth hurts >Causes> Donald feel(s) | 1 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.3380192816257477,
0.7507802248001099,
0.02467833086848259,
-0.5387066006660461,
0.17931434512138367,
-0.4495989680290222,
0.011854339390993118,
0.916556715965271,
0.022629428654909134,
0.10414546728134155,
0.06806539744138718,
0.21540957689285278,
0.13805967569351196,
-0.2511346936225891... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Example:... | Solution: sound Antonym taste | 5 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.7742511034011841,
1.3336002826690674,
0.1977614462375641,
-0.2769479751586914,
-0.035735707730054855,
-0.42658212780952454,
0.1914239227771759,
0.440051794052124,
0.443425714969635,
-0.606545627117157,
-0.10449481010437012,
0.17390646040439606,
-0.8371117115020752,
-0.19954004883766174,
... |
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... | No | 9 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.26390230655670166,
0.622381329536438,
0.34223175048828125,
-0.18061712384223938,
-0.5263473987579346,
-0.6384855508804321,
0.7718192934989929,
0.38175415992736816,
-0.6918756365776062,
-0.3706798553466797,
-0.3870285749435425,
-0.4811449348926544,
-0.4391401708126068,
0.28352123498916626... |
Part 1. Definition
In this task, you need to Translate Czech text to English.
Part 2. Example
Řešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Konkrétně se týká nových acylovaných aminofenylsulfonylmočovin obecného vzorce I, způsobu... | Solution se concerns agregometru thrombocytes on basis optical turbidimeter a.spo # is looking in that, that to expensive volume monochro # mathematical lights they are between luminous source and photoelectric detector subdued except monochromator collimation lenses, apertur- it ape... | 7 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
-0.10840044915676117,
-0.11709831655025482,
-0.3111158013343811,
0.536085844039917,
0.40392011404037476,
-0.5007030963897705,
0.030803291127085686,
1.1112561225891113,
0.3417729139328003,
0.3143755793571472,
-1.0336557626724243,
0.4276004731655121,
-0.39192038774490356,
0.3723912835121155,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Input: Consider Input: 私たちはただ、エゴや利己主義を捨てれば良いのです
Output: All we have to do is to get our egos out of the way, get our egotism out of the way.
Input: Consider Input: 「これは凄いぞ」そして深海探索の虜になりました
Output: This is really cool.... | Output: We put the mops in the hallway and re-engineered the thing and that's where we recorded the first Grammy.
| 2 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
-0.29247239232063293,
-0.09606049954891205,
0.3096455931663513,
-0.5954915285110474,
0.16504070162773132,
-1.2830767631530762,
-0.35722875595092773,
-0.28324973583221436,
0.32551634311676025,
-0.7228862047195435,
-0.06681731343269348,
-0.18256875872612,
-0.3363285958766937,
-1.108478784561... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Example input: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an Amer... | Whose death during the 1973 Dutch Grand Prix at Zandvoort Circuit in the Netherlands is the subject of a book by David Tremayne? | 3 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.745692789554596,
0.427900493144989,
-0.881017804145813,
1.039865255355835,
0.5206602811813354,
-0.11661181598901749,
0.6148329973220825,
0.5391418933868408,
-0.020160004496574402,
0.36546868085861206,
-0.11550359427928925,
0.5607262253761292,
-1.0400713682174683,
-0.05674928426742554,
... |
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
--------
Question: مسلح افواج میں خواتین کی موجودگی
Answer: ஆயுதப்படைகளில் பெண்கள்
Question: پی ایم ایس ایس کے تحت ہر سال وزارت دفاع کی نگرانی میں مسلح دستوں... | நாடாளுமன்றத்தில் 2019-2020-க்கான பட்ஜெட் நிதியமைச்சரால் தாக்கல் செய்யப்பட்ட பின், வெளியிட்ட அறிக்கையில், இந்த பட்ஜெட் ஏழை எளிய மக்களை வலுப்படுத்தும், நாட்டின் இளைஞர்களுக்கு சிறந்த எதிர்காலத்தை உருவாக்கும்.
| 7 | NIv2 | task1036_pib_translation_urdu_tamil | fs_opt | [
0.08186519891023636,
0.014289451763033867,
-0.6158714294433594,
-0.844985842704773,
0.3482665419578552,
-0.4512205123901367,
0.5400984287261963,
0.97748202085495,
0.28426674008369446,
0.5512957572937012,
-0.33822697401046753,
0.4482458829879761,
-0.43278831243515015,
-0.09433168917894363,
... |
TASK DEFINITION: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
PROBLEM: Nancy bought 615 crayons that came in packs of 15 . How many p... | 54
| 8 | NIv2 | task866_mawps_multidiv_question_answering | fs_opt | [
0.25552019476890564,
0.33717775344848633,
0.10272537171840668,
-0.008828749880194664,
-0.4652547836303711,
0.9088345766067505,
0.8328039646148682,
0.31152650713920593,
-0.02136564999818802,
-0.2097621113061905,
0.19729101657867432,
-0.03389083221554756,
-0.5175851583480835,
-0.010268511250... |
Definition: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Input: Question: If plane... | less than | 2 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.3183116316795349,
0.3837035894393921,
0.27084431052207947,
-0.3105658292770386,
-0.15543019771575928,
-0.4337077736854553,
1.0336101055145264,
-0.2462235689163208,
0.25315752625465393,
-0.6741578578948975,
-0.820662796497345,
-0.03682010993361473,
-0.04885270446538925,
0.192793026566505... |
Given the task definition and input, reply with output. In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sente... | 1, John felt like he was coming down with a cold. | 5 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.4119304418563843,
1.1145144701004028,
0.04406730458140373,
-0.47535356879234314,
0.07705707848072052,
-0.3383766710758209,
0.4404403269290924,
0.25860321521759033,
-0.05027799308300018,
-0.027968257665634155,
-0.685394823551178,
-0.17263244092464447,
-0.5774638056755066,
0.1317862421274... |
Definition: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: ೧೯೧೯, ಏಪ್ರಿಲ್ ೧೩ರಂದು,ಬ್ರಿಟಿಷರು ಜಾರಿಗೆ ತಂದ ರೌಲಟ್ ಆಕ್ಟನ್ನು ವಿರೊಧಿಸಿ <MASK> ರಾಜ್ಯದ ಮುಖ್... | ಪಂಜಾಬ್ | 2 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.4557659327983856,
0.5760575532913208,
-0.41642284393310547,
-0.00008402718231081963,
-0.7782072424888611,
-1.4291571378707886,
0.4881724715232849,
-0.0034163035452365875,
-0.04109540209174156,
-0.029144935309886932,
-0.15378065407276154,
-0.05198530852794647,
-0.109077088534832,
-0.30193... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: In Western countries people have been using the installment plan since the first half of the twentieth century. Today, a large number of families in Great Britain buy furnitur... | What is the purpose of disaster prediction according to the passage?
| 0 | NIv2 | task311_race_question_generation | fs_opt | [
1.1289455890655518,
0.2850990295410156,
-0.11789222061634064,
-0.11643612384796143,
0.6460281610488892,
-0.5408191680908203,
0.5553655624389648,
1.0320193767547607,
-0.47639358043670654,
0.3386755883693695,
0.09062615036964417,
0.462781697511673,
-0.7516992092132568,
0.4406115412712097,
... |
Q: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Beginning: A deli own... | 2 | 7 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.4352637529373169,
0.10496582090854645,
0.2956547439098358,
0.16834604740142822,
-0.5575301051139832,
-0.4605359137058258,
-0.2649354934692383,
0.5168085098266602,
0.3964551091194153,
-0.17726892232894897,
-1.1300320625305176,
0.27707499265670776,
-0.09303255379199982,
-0.186841264367103... |
Teacher:Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individua... | blue_bathtub | 6 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.016659392043948174,
0.057090602815151215,
-0.32309991121292114,
-0.6883981227874756,
-0.446108341217041,
-0.6961472630500793,
0.3111743628978729,
0.14345163106918335,
0.3502689301967621,
-0.40029260516166687,
-0.14245158433914185,
0.9094731211662292,
-0.15359090268611908,
-0.361767083406... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion | 4 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.7074846029281616,
0.3876093924045563,
0.2959643006324768,
-0.30447515845298767,
-0.18905991315841675,
-0.15227913856506348,
0.7075256109237671,
-0.5800164937973022,
-0.07123738527297974,
-0.7033330202102661,
-0.03633442521095276,
-0.28104692697525024,
-0.35424351692199707,
0.57809579372... |
Detailed Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Me... | Building | 8 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
0.13495714962482452,
0.8308367729187012,
-0.26221030950546265,
-0.05851097032427788,
-0.2753570079803467,
-0.20303256809711456,
0.3990008533000946,
-0.2897909879684448,
-0.5436941385269165,
0.051565900444984436,
0.43208688497543335,
0.5268925428390503,
-0.4145486652851105,
-0.0388188138604... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: আফ্রিকান ইউনিয়ন কমিশনের কমিশনার,
A: | ਅਫਰੀਕੀ ਸੰਘ ਦੇ ਕਮਿਸ਼ਨ ਦੇ ਕਮਿਸ਼ਨਰ | 4 | NIv2 | task1025_pib_translation_bengali_punjabi | zs_opt | [
0.6337487697601318,
0.4238849878311157,
-0.1817980259656906,
-0.1250651478767395,
-0.21568563580513,
-0.6192408800125122,
0.7792263031005859,
-0.8306723833084106,
-0.3188630938529968,
0.3390663266181946,
-0.19915693998336792,
-0.056776758283376694,
-1.2620006799697876,
0.6732711791992188,
... |
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... | Solution: SIMILAR | 5 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.2998678684234619,
0.5494113564491272,
0.14215731620788574,
-0.3462424576282501,
-0.21668601036071777,
-0.8142046928405762,
1.547337293624878,
0.45182090997695923,
0.23101183772087097,
0.2814006805419922,
-0.7640746831893921,
0.07878555357456207,
-0.4979788661003113,
0.2750593423843384,
... |
Part 1. Definition
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an... | [32256, 312, 1292, -28, 31280, 0, -14, 0, -44, -36] | 7 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.5484747886657715,
-0.18341514468193054,
-0.7873413562774658,
-0.17418977618217468,
0.5620450377464294,
-0.42174941301345825,
1.0273724794387817,
0.48837795853614807,
-0.2945290505886078,
-0.3500449061393738,
-1.0028197765350342,
0.09914665669202805,
-0.5589793920516968,
-0.26193389296531... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further in... | c | 1 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.5870134830474854,
0.5685311555862427,
-0.6582218408584595,
0.34718626737594604,
0.14054787158966064,
-0.1270330250263214,
0.08617421984672546,
0.0474431999027729,
0.4233464300632477,
-0.12359601259231567,
0.013782080262899399,
0.4475627541542053,
-0.557842493057251,
0.39491724967956543,
... |
Definition: Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Input: Who I vote for president has nothing to do with it. But you insinuating that it does, it now makes sense where you are comin... | No | 2 | NIv2 | task1720_civil_comments_toxicity_classification | zs_opt | [
-0.08287562429904938,
0.3868902623653412,
0.3507217764854431,
0.8086563348770142,
-0.2957991659641266,
-1.0300272703170776,
0.6775881052017212,
-0.06350169330835342,
0.6132892966270447,
0.2952107787132263,
-0.10340752452611923,
-0.1277148723602295,
-0.30231016874313354,
-0.6304808855056763... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
--------
Question: Fact1: vinegar can cause harm to the eyes, Fact2: Vinegar is dilute acetic acid., Question: What can acetic acid do to the eyes? (A) treat ... | E
| 7 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.6087843179702759,
-0.06780695915222168,
-0.29374441504478455,
0.8857607841491699,
0.04190356656908989,
-1.122911810874939,
-0.08273067325353622,
0.9344273209571838,
-0.11158779263496399,
-0.15904882550239563,
-0.8420237898826599,
-0.330691397190094,
-0.25096166133880615,
0.07427747547626... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Input: Consider Input: [76, -10, 95]
Output: [86, 105]
Input: Consider Inp... | Output: [100, 157, 157, 154, 110]
| 2 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.7459490299224854,
0.4365799129009247,
-0.41013047099113464,
-0.2612563967704773,
-0.5030876994132996,
0.060678064823150635,
0.6788374185562134,
0.4598309099674225,
0.5837239027023315,
-0.07139512896537781,
-0.10873216390609741,
-0.44538065791130066,
-0.05279100686311722,
-0.067551568150... |
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)... | "Siis kohtaamme me toisemme, ellei mitään odottamatonta tapahdu, lauantaina kello 10:30 Paddington-asemalla." | 0 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.5106687545776367,
0.6498551964759827,
-0.02055802009999752,
-0.34096404910087585,
-0.22719600796699524,
-1.1774122714996338,
0.9927433133125305,
-0.3108008801937103,
-0.23235800862312317,
-0.38086435198783875,
-0.18746614456176758,
1.0252435207366943,
-0.9268461465835571,
0.613015592098... |
Detailed Instructions: 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
Q: ['b', 'j', 'T', '3407', '6053', 'X', 'w', '2653', '... | 10 | 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.5588913559913635,
0.6958080530166626,
-0.27088746428489685,
-0.33535826206207275,
0.08761662244796753,
-0.15198224782943726,
0.3984544575214386,
-0.3806540071964264,
-0.7991683483123779,
0.6059404611587524,
-0.2085980772972107,
-0.17837940156459808,
0.6265857219696045,
-0.545857727527618... |
In this task you are given a premise and two alternatives in Italian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
[Q]:... | 1
| 5 | NIv2 | task1172_xcopa_commonsense_reasoning_it | fs_opt | [
-0.19982650876045227,
0.9102026224136353,
0.21148501336574554,
0.2453411966562271,
-0.6959739327430725,
0.3902272582054138,
0.31624719500541687,
1.2087626457214355,
0.13464272022247314,
0.11013307422399521,
-0.7040338516235352,
0.2175161987543106,
-0.16118070483207703,
0.189150869846344,
... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Let me give you an example: Then, the camel stops and the woman gets down from the camel.
The answer to this example can be: A woman rides a camel holding a rode with her right hand... | Someone is left standing on the tracks. | 8 | NIv2 | task455_swag_context_generation | fs_opt | [
0.27464568614959717,
0.9287122488021851,
-0.6615607738494873,
-0.10988571494817734,
-0.5371700525283813,
-0.39142701029777527,
-0.10307212918996811,
1.2607210874557495,
0.7642552256584167,
-0.035366691648960114,
-0.7641516923904419,
0.2020224779844284,
-0.5157656669616699,
0.09819790720939... |
Instructions: Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has part?.'
Inp... | 0 | 3 | NIv2 | task1583_bless_meronym_classification | zs_opt | [
-0.10835810005664825,
0.8536919355392456,
-0.4503084719181061,
0.5164865255355835,
0.10393529385328293,
-0.6265981793403625,
1.2641924619674683,
0.4200666546821594,
0.23731562495231628,
-0.023069413378834724,
-0.5634876489639282,
0.3473877012729645,
-0.9422533512115479,
0.372627854347229,
... |
Teacher: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb can be anchored in time or not. We say a verb can be anchored in the real timeline if and only if a verb happened in the past, is happening now, or is guaranteed to happen in the future. The outp... | No | 2 | NIv2 | task383_matres_classification | fs_opt | [
0.9943215847015381,
0.775813102722168,
0.34273433685302734,
-0.32396984100341797,
-0.06473053991794586,
-0.026781093329191208,
0.39726758003234863,
0.8573484420776367,
-0.7436342239379883,
0.3929162621498108,
0.24201332032680511,
0.6713684797286987,
-0.5604467391967773,
0.12057299166917801... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat... | I went into the mine looking for diamonds but all I found was quartz and topaz. I settled on the _ because it shined yellow. | 0 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.818975567817688,
0.5147848725318909,
0.2210785150527954,
0.23142340779304504,
0.5076990127563477,
-0.8194594383239746,
0.5524852275848389,
1.179394006729126,
-0.3645331859588623,
-0.682759165763855,
-0.38297340273857117,
0.1709768921136856,
-0.2841658592224121,
0.035639870911836624,
0.... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Reduction of Metals in Packaging Act - Prohibits the intentional introduction of lead, cadmium, mercury, ... | Reduction of Metals in Packaging Act | 0 | NIv2 | task1659_title_generation | zs_opt | [
-0.19341233372688293,
0.05545476824045181,
-0.5169640183448792,
0.432494580745697,
0.21909964084625244,
-1.1907070875167847,
0.06250953674316406,
1.2757651805877686,
-0.7912572622299194,
0.6462496519088745,
-0.5965601205825806,
0.132910817861557,
-0.15989691019058228,
-0.04986041784286499,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for ... | no | 1 | NIv2 | task211_logic2text_classification | zs_opt | [
0.1267838180065155,
-0.47373461723327637,
-0.3601415753364563,
0.5608762502670288,
0.45037591457366943,
-0.5330367088317871,
0.10395070165395737,
0.6728174090385437,
0.006701158359646797,
-0.02923543006181717,
-0.3294716477394104,
0.1762569546699524,
0.3216667175292969,
0.36221909523010254... |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Input: Consider Input: Amotekun: Àwọn adájọ́ àgbà ilẹ̀ Yoruba dá àba kí ìkọ̀ Amotẹkun lo ìbọn
Output: Nigeria
Input: Conside... | Output: Politics
| 2 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.6894052028656006,
-0.11745069921016693,
0.21978743374347687,
0.24339023232460022,
0.052249662578105927,
-0.6211999654769897,
-0.308625191450119,
0.3105739951133728,
0.6114563345909119,
-0.377140074968338,
-0.26817643642425537,
-0.10009390115737915,
-1.1551752090454102,
-0.359897106885910... |
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; note that the selected choi... | bc | 4 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
0.2109810709953308,
0.6377846598625183,
0.09264227002859116,
-0.06701196730136871,
0.1502000391483307,
-0.1528085172176361,
0.2846398651599884,
0.3435140550136566,
0.11693538725376129,
0.5249205827713013,
-0.46842947602272034,
-0.419092059135437,
-0.4197021722793579,
0.03929024189710617,
... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
--------
Ques... | What was Kashiram Tiwari's career?
| 7 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.044935163110494614,
0.2504170835018158,
0.003976413048803806,
0.11523225903511047,
0.40757831931114197,
-0.7386443614959717,
-0.06600623577833176,
0.4546147584915161,
0.4296421408653259,
-0.17580991983413696,
-0.07454515993595123,
0.3387264013290405,
-0.7727258205413818,
-0.1187122985720... |
Detailed Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In y... | He thought he might know him . | 8 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.26304131746292114,
0.5171314477920532,
-0.6090832948684692,
-1.0801515579223633,
-0.346905380487442,
-0.6354203224182129,
0.2811276912689209,
-0.11491161584854126,
-0.1654403805732727,
-0.4132520258426666,
0.028309263288974762,
0.002837561769410968,
-0.9761069416999817,
-0.53509771823883... |
Given the task definition, example input & output, solve the new input case.
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that hav... | Not Funny | 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.03462056443095207,
0.38096731901168823,
0.3157191574573517,
0.2785991430282593,
-0.02832372859120369,
-0.27646857500076294,
0.15066930651664734,
1.0357881784439087,
-0.03787954896688461,
0.3467797636985779,
-0.5373548269271851,
-0.6344289779663086,
-0.16936041414737701,
-0.4290774464607... |
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 will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-83, 53, -48, 8]
So... | [720, -640] | 0 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.2874038815498352,
0.5645989179611206,
-0.44115033745765686,
-0.1645989567041397,
0.1693306565284729,
0.029154188930988312,
1.0808568000793457,
0.30460110306739807,
0.20581023395061493,
0.3220982849597931,
-0.22609785199165344,
-0.2689927816390991,
-0.28096139430999756,
0.409657567739486... |
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... | 刀是用来攻击AR的 | 4 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-1.0999935865402222,
0.7900370955467224,
-0.17150132358074188,
-0.9848759174346924,
0.5382779836654663,
-0.5152229070663452,
0.29075390100479126,
0.470495343208313,
0.1248754933476448,
-0.24625448882579803,
-0.6271581649780273,
0.35635730624198914,
-0.18409624695777893,
0.534983217716217,
... |
You will be given a definition of a task first, then some input of the task.
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 t... | sand. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.036296308040618896,
0.8459184169769287,
-0.13035035133361816,
0.6222567558288574,
0.032155461609363556,
-1.3296440839767456,
0.2802914083003998,
0.7311330437660217,
-0.3587305545806885,
-0.2516304850578308,
-0.6477397680282593,
-0.1602257788181305,
-0.771931529045105,
0.17608606815338135... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Context: The Board also announced the ... | no | 0 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.8823518753051758,
0.6208980083465576,
-0.4481006860733032,
0.600834310054779,
0.19782042503356934,
-0.24901992082595825,
0.8084313869476318,
0.007680135779082775,
0.3191501498222351,
0.33071035146713257,
-0.6490243673324585,
-0.015978477895259857,
-0.31142735481262207,
0.256709039211273... |
You will be given a definition of a task first, then some input of the task.
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
i ca n't recall a previous film experience where the fairly good time i was having turned as sour as quickly as it did during feeling mi... | N | 1 | NIv2 | task1361_movierationales_classification | zs_opt | [
0.24905337393283844,
0.27831244468688965,
-0.6709054112434387,
-0.13002508878707886,
0.6331337690353394,
0.24423998594284058,
1.1957066059112549,
1.258168339729309,
-0.0035538929514586926,
0.35838934779167175,
0.18373370170593262,
-0.2771732211112976,
-0.6167792081832886,
-0.11892838776111... |
Teacher: You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ਅਮ... | ਮਕਰਾਨ | 2 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.6452699303627014,
0.3634266257286072,
0.40670132637023926,
-0.07194440811872482,
0.04511673003435135,
-0.4374116063117981,
-0.1679825335741043,
0.8109359741210938,
0.5691912174224854,
0.02747262828052044,
-0.6406922936439514,
-0.11188401281833649,
-0.8293890953063965,
-0.2090052664279937... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Solution: Entity | 5 | NIv2 | task1289_trec_classification | fs_opt | [
0.027715792879462242,
0.22832465171813965,
0.054319120943546295,
-0.22689154744148254,
-0.14184165000915527,
-0.745643138885498,
0.5409137010574341,
-0.16751141846179962,
-0.09783150255680084,
-0.12016378343105316,
-1.0541620254516602,
-0.1659436821937561,
-0.5411888360977173,
0.1837308704... |
Part 1. Definition
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Part 2. Example
Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libr... | What's the purpose of writing the text? | 7 | NIv2 | task311_race_question_generation | fs_opt | [
0.4300333261489868,
0.12761788070201874,
0.09093160927295685,
-0.06304612010717392,
1.0382401943206787,
-0.27829068899154663,
1.1141529083251953,
0.3399029076099396,
0.21811263263225555,
-0.21477389335632324,
0.1687566041946411,
0.5945573449134827,
-1.425814151763916,
0.15660840272903442,
... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
3, 10, ['141', '2067', '5341', 'l', '9859', 'E', 's', '5173', '8... | 5341, K, y | 0 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
-0.05645563825964928,
0.14905625581741333,
-1.051887035369873,
-0.7529264092445374,
-0.7165495157241821,
-0.07894707471132278,
0.7356367111206055,
-0.3331211805343628,
-0.22134259343147278,
0.20701494812965393,
-0.7089748978614807,
-0.06331034004688263,
0.020602485164999962,
0.165111735463... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Example: Answer: victoria woodhull
Example solution: who was the first women to run for presidency in the us?
Example explanation: The given answer directly answers the generated question
Problem: Answer: alexander... | Solution: who was the first secretary of the treasury? | 5 | NIv2 | task443_com_qa_ans_question_generation | fs_opt | [
0.3620826005935669,
0.3727074861526489,
-0.10030687600374222,
0.08146297186613083,
-0.5158810615539551,
-1.0618383884429932,
0.7916377186775208,
0.11252067983150482,
1.025085210800171,
-0.09523627161979675,
0.05963527783751488,
0.35456788539886475,
-0.7329471111297607,
-0.02311788126826286... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Portugese.
In about five billion years, our sun will become a red giant, as large as the Earth's orbit, and our Earth will be kaput, and in a thousand billion years, if dark e... | Daqui a cerca de 5 biliões de anos, o nosso sol tornar-se-á uma gigante vermelha, tão grande como a órbita da Terra, e a nossa Terra será destruída, e daqui a 1000 biliões de anos, se a energia escura continuar a alimentar a expansão de espaço no ritmo atual, vocês nem serão capazes de ver os dedos dos pés, porque tudo... | 5 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.049069248139858246,
1.6343640089035034,
-0.31825876235961914,
-0.16374251246452332,
-1.1731641292572021,
-0.3866071403026581,
-0.8625401854515076,
0.9137691259384155,
0.47006353735923767,
0.07284616678953171,
0.0981692373752594,
0.669180154800415,
-0.4110836386680603,
-0.5714427828788757... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[1, 7, 3, 7, 2, 3, 7, 0, 4, 2]
[1, 0, 4]
[5, 4, 0, 6, 5]
[4, 0, 6]
[0, 4,... | [6, 1, 5]
| 0 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.16824671626091003,
0.7263523936271667,
-0.30378979444503784,
-0.2184901237487793,
0.23286846280097961,
-0.47531670331954956,
1.0246849060058594,
0.3917114734649658,
-0.6662871837615967,
-0.25866782665252686,
-1.0786819458007812,
-0.22231519222259521,
-0.09598580002784729,
-0.29420569539... |
Teacher:In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: ... | no | 6 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.34787312150001526,
-0.6574585437774658,
0.2995324730873108,
-0.04569150507450104,
0.4943534731864929,
-0.3843038082122803,
0.23626524209976196,
0.7110258340835571,
0.16200950741767883,
-0.23116612434387207,
-0.11527839303016663,
0.33715930581092834,
-0.033699795603752136,
-0.55938327312... |
Part 1. Definition
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Part 2. Example
Our friends won't buy this analysis, let alone the next one we propose.
Answer: 1
Explanation... | 1 | 7 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.018679333850741386,
1.2320802211761475,
0.22274497151374817,
-0.00772415567189455,
0.5505537390708923,
-0.9564526677131653,
0.6939374208450317,
0.3404865860939026,
0.41139882802963257,
-0.08572527021169662,
-0.6424206495285034,
-0.3183284103870392,
-0.1672084629535675,
-0.76511800289154... |
Definition: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Input: Passage: The next day, 2 December 1942, everybody assembled fo... | Walter. | 2 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.2611140012741089,
0.34052151441574097,
-0.48698437213897705,
0.3421449363231659,
0.32367074489593506,
-0.12269869446754456,
0.700939953327179,
0.7027441263198853,
0.19194015860557556,
0.34381622076034546,
-0.647368311882019,
0.41126734018325806,
-0.5662156939506531,
0.48759299516677856,
... |
Given the task definition and input, reply with output. In this task, you need to Translate Czech text to English.
1,4,7,10-Tetraazycyklododekan neboli cyklen a jeho N-acylderiváty obecného vzorce I, kde Y je vodík, terc-butoxykarbonyl, methoxykarbonyl, ethoxykarbonyl, benzyloxykarbonyl, 9-fluorenylmethoxykarbonyl, se... | 1,4,7,10-Tetraazycyclododecane or Cyclene and its N-acyl derivatives of Formula I wherein Y is hydrogen, tert-butoxycarbonyl, methoxycarbonyl, ethoxycarbonyl, benzyloxycarbonyl, 9-fluorenylmethoxycarbonyl, are prepared by electrophilically catalyzed cyclotetrameration of N-acylaziridines Formula II wherein Y is tert-bu... | 5 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.2992503046989441,
0.35662999749183655,
-0.4206779897212982,
-0.24969054758548737,
0.2587183713912964,
0.2832062840461731,
0.13333003222942352,
0.189265638589859,
0.4508531093597412,
-0.21031171083450317,
-0.5072620511054993,
0.27726322412490845,
-0.3939587473869324,
-0.08526650071144104,... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: ประเทศอื่นๆ ที่ได้นำคำเตือนในแบบรูปภาพมาใช้ รวมไปถึงออสเตรเลียและแคนาดาได้กล่าวว่า ภาพคำเตือนนี้ใช้ได้ผล
A: | オーストラリアやカナダを含む、画像によって警告を表示する諸外国によると、その警告は効果があるとのことである。 | 4 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.26262640953063965,
0.376697301864624,
-0.41811397671699524,
-0.7075995206832886,
-0.09817646443843842,
-0.8803534507751465,
1.361212968826294,
0.9965656995773315,
-0.5856345891952515,
0.16139188408851624,
-0.39357802271842957,
0.5851545333862305,
-0.306554913520813,
1.1146187782287598,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: a man , a woman and a boy can together complete a piece of work in 3 days . if a man alone ca... | a | 1 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.29908043146133423,
0.5118088722229004,
-0.26245424151420593,
-0.5851736068725586,
-0.10806837677955627,
-0.3112863302230835,
0.4281820058822632,
0.27644550800323486,
-0.31367364525794983,
-0.13749197125434875,
-0.9503371119499207,
0.3223690688610077,
0.40380290150642395,
-0.5329508781433... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
I received the screen protector in a shipping tube, spent a couple of hours to flatten it out before applying to my Ipad. They give you a spray bottle (I think about 4-6 oz. of spray)for applying the screen protector. I would hig... | Positive Review | 0 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.032184723764657974,
0.24353694915771484,
-0.3713265657424927,
-1.18681800365448,
-0.10466404259204865,
-0.8776035308837891,
0.9021825790405273,
0.05171133577823639,
-0.14276045560836792,
0.2680321931838989,
0.26688140630722046,
-0.056692253798246384,
-0.5905261039733887,
0.0113580059260... |
Part 1. Definition
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Part 2. Example
I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Answer: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندارد با یک غریبه این نق... | کلاریسا گفت: اما او هیچ وقت از کسانی که از دوستانمان خوشش نمیآمد. | 7 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.3889175057411194,
1.3160127401351929,
-0.05914509296417236,
0.03785979002714157,
-0.13595369458198547,
-0.8781763911247253,
1.5986101627349854,
0.15678386390209198,
0.17238587141036987,
0.014675023034214973,
-0.1255059540271759,
0.4354097545146942,
-0.827215313911438,
-0.3611996769905090... |
Teacher:Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use... | We would keep playing our board game . | 6 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.4383273124694824,
0.1943592131137848,
-0.6569086909294128,
0.38476961851119995,
-0.21707290410995483,
-0.7943609952926636,
0.839924693107605,
1.1564617156982422,
-0.22297723591327667,
-0.06137649714946747,
-0.30323106050491333,
0.49379289150238037,
-0.388327419757843,
-0.976245641708374,... |
Given the task definition, example input & output, solve the new input case.
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is uniq... | How have Arsenal players portrayed in media? | 1 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
1.3552402257919312,
0.3019331097602844,
-0.5631535649299622,
0.5643292665481567,
0.5135513544082642,
-0.5694980025291443,
0.8733599185943604,
1.105769395828247,
0.19838707149028778,
-0.1806996762752533,
0.2454632818698883,
-0.2667580246925354,
-0.6034541130065918,
-0.06631550937891006,
-... |
Teacher:Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable proba... | Người ta uống sữa bò. | 6 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.2738099694252014,
0.219877690076828,
0.29787784814834595,
-0.4879090487957001,
-0.4551340937614441,
-0.6408572196960449,
0.5956710577011108,
1.4314110279083252,
0.011815306730568409,
-0.6079660058021545,
-0.4034791886806488,
-0.13074594736099243,
-0.288605660200119,
-0.2928183078765869,
... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: a cactus stem is used for storing water, Fact2: Water consists of H2O, etc., Question: A cactus stem stores what? (A) RNA (B) h2o (C) rain (D) h1n1 ... | B | 4 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.3740721344947815,
0.7782191038131714,
-0.47170037031173706,
0.0763518214225769,
-0.26083463430404663,
-2.090428352355957,
-0.6333301067352295,
0.9064754247665405,
-0.15280917286872864,
0.13668878376483917,
-0.38703101873397827,
-0.20917272567749023,
-0.36766210198402405,
-0.0982801467180... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article,... | Num N V V Pron Pron Adj Conj Adv Adv V Pron Adv Prep N N Adv Conj Adv Art N Punc Adj Adj Punc Punc Misc Misc Punc N N N N | 5 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.4531061053276062,
0.966808557510376,
-0.11658630520105362,
0.12117134034633636,
-0.2956499755382538,
0.2531529664993286,
0.3547236919403076,
0.13662174344062805,
0.21306884288787842,
-0.6228677034378052,
-0.21328753232955933,
0.6948670148849487,
-0.48321497440338135,
-0.1448295116424560... |
Given the task definition, example input & output, solve the new input case.
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 afte... | strong | 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.18927159905433655,
0.24840447306632996,
0.2982463836669922,
0.1675274819135666,
0.19651490449905396,
-0.46707069873809814,
0.476654052734375,
0.9783607125282288,
0.1772356927394867,
-0.32724881172180176,
-0.3625006377696991,
-0.3575782775878906,
-0.42098093032836914,
-0.1019837707281112... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Sen el, os problemas que afrontamos no mundo real (pobreza, guerras, enfermidades e xenocidio) carecen da frivolidade que deberían.
Output: | Bez niego, problemy którym stawiamy czoła w rzeczywistości - ubóstwo, wojna, choroby i ludobójstwo - nie mają odpowiedniej powagi. | 1 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.8717085123062134,
1.0072455406188965,
0.6405153870582581,
-0.42825520038604736,
-0.5357122421264648,
-0.7668229341506958,
1.3500471115112305,
-0.010982641950249672,
-0.9308240413665771,
0.18761490285396576,
-0.9564366936683655,
0.03999173268675804,
-0.7039408683776855,
0.032481510192155... |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
PROBLEM: Y por último está la artillería, y la artillería la forman los arqueros y, lo más importante, los honderos.
SOLUTION: Była też artyleria, a więc łucznicy, ale przede wszystkim żołnierze uzbrojeni w... | (Wideo): Dziewczyna: Nazywam się Valentina Kofi. Mam 8 lat.
| 8 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.016231868416070938,
0.3742215037345886,
-0.33472940325737,
-0.475955605506897,
-0.40328723192214966,
-0.1729913204908371,
1.2335456609725952,
0.12545734643936157,
0.39248472452163696,
-0.15531858801841736,
-0.10652654618024826,
0.6291408538818359,
-0.7647385001182556,
0.0187426134943962... |
Instructions: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Input: concept: Steve Vai answers: ['Ibanez', 'Ibanez Universe', 'Ibanez JEM']
Output: | what brand of guitar does steve vai play? | 3 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
-0.18372578918933868,
-0.07089740037918091,
-0.5700949430465698,
-0.059147149324417114,
0.5030678510665894,
-0.10030947625637054,
0.18106767535209656,
-0.06035758554935455,
0.3885806202888489,
0.05630164593458176,
-0.5574936866760254,
0.21662643551826477,
-0.01317471731454134,
-0.339469701... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | does lufthansa fly between boston and oakland
| 7 | NIv2 | task184_break_generate_question | fs_opt | [
0.8189911842346191,
-0.054685331881046295,
-0.661048173904419,
0.4760693609714508,
0.6102299690246582,
-0.695276141166687,
1.0027942657470703,
0.5060919523239136,
-0.5988609790802002,
0.6012581586837769,
-0.5384098887443542,
0.26528143882751465,
-0.12116492539644241,
0.29230087995529175,
... |
Teacher: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 be directly excluded without reasoning according to the context. Try ... | They had only a few moments ' warning before the buildings collapsed . | 6 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.007289395667612553,
1.242551326751709,
0.1453915536403656,
0.3350898027420044,
-0.14214245975017548,
-0.5825451612472534,
-0.09510210156440735,
0.9377658367156982,
0.3791227340698242,
-0.1149924099445343,
-0.32057154178619385,
-0.15497028827667236,
-0.6658782362937927,
-0.42969402670860... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: पीएम मोदी कार्यक्रम में आईआईटी भिलाई के स्थायी परिसर की आधारशिला भी रखेंगे।
A: ঐ একই অনুষ্ঠানে প্রধানমন্ত্রী শ্রী মোদী আইআইটি ভিলাই-এর স্থায়ী ক্যাম্প... | ২ হাজার টাকা পর্যন্ত ওভার ড্রাফট্-এর ক্ষেত্রে কোনও শর্তাবলী থাকছে না।
****
| 4 | NIv2 | task1010_pib_translation_hindi_bengali | fs_opt | [
-0.34249192476272583,
-0.45228976011276245,
0.15100783109664917,
0.2305266112089157,
-0.3907739520072937,
-0.08919976651668549,
0.012380086816847324,
0.32193002104759216,
-0.08589206635951996,
0.016428614035248756,
-0.3842526972293854,
-0.2335328757762909,
0.3413718044757843,
0.56479644775... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: ការយកឈ្នះលើការដកសេចក្តីទុកចិត្ត នឹងពឹងផ្អែកភាគច្រើនលើការគាំទ្រដោយយោធា ដែលគាត់បានកាន់ជាអគ្គមេបញ្ជាការរហូតដល់មានសម្ពាធអន្តរជ... | 「私はここで君にインタビューさせていて、君の質問にこたえており、そして君は酷いことをする」
| 7 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.19342835247516632,
-0.2262147068977356,
-0.25762709975242615,
-0.35221290588378906,
-0.04050125926733017,
-0.999561071395874,
0.779478907585144,
0.3542543947696686,
-0.6210030317306519,
0.21578916907310486,
-0.7139472961425781,
0.16353628039360046,
-1.3362332582473755,
0.515027761459350... |
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 return one of the emotions which are expressed by the Character in the given sentence. For ... | None
| 6 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.34579187631607056,
0.1277548372745514,
-0.14638832211494446,
-0.9296057224273682,
-0.39997994899749756,
-0.2605939507484436,
1.0535871982574463,
0.5922285318374634,
0.49618223309516907,
-0.1282956898212433,
-0.24826136231422424,
-0.6706264019012451,
-0.4274613857269287,
-0.28391402959823... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[EX Q]: [15... | [1, 119]
| 6 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.7426517009735107,
0.21992671489715576,
-0.10953298211097717,
-0.7706210613250732,
0.14999450743198395,
-0.14407534897327423,
0.7800738215446472,
0.18496385216712952,
-0.7071856260299683,
0.5479393005371094,
-0.8942097425460815,
0.24808834493160248,
-0.14549776911735535,
-0.4786279797554... |
Detailed Instructions: 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.
Problem:[168.156, -87.537, 165.486, 82.827, -37.844, 168.728, -72.594, 161.785, 165.776, 198... | [ 0.184 -0.096 0.181 0.091 -0.041 0.185 -0.079 0.177 0.182 0.217] | 8 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.27222174406051636,
0.1568906605243683,
-0.8635045289993286,
-0.9877586364746094,
0.24924364686012268,
0.7544316649436951,
0.6599020957946777,
-0.13525047898292542,
-0.5836705565452576,
-0.01350313238799572,
-0.8644636273384094,
0.5579522848129272,
-0.21654009819030762,
-0.44258421659469... |
Detailed Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input ... | ["Let's", 'do', 'some', 'more', 'percentage', 'problems.', "Let's", 'say', 'that', 'I', 'start', 'this', 'year', 'in', 'my', 'stock', 'portfolio', 'with', '$95.00.', 'And', 'I', 'say', 'that', 'my', 'portfolio', 'portfolio', 'grows', 'by,', "let's", 'say', 'fifteen', 'percent', 'how', 'much', 'do', 'I', 'have', 'now', ... | 9 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.6731787323951721,
0.17302685976028442,
0.1430748999118805,
-0.039236880838871,
0.39953160285949707,
-0.40958845615386963,
-0.13765078783035278,
1.3176896572113037,
-0.11654127389192581,
0.00174986501224339,
-0.14070796966552734,
-0.3620064854621887,
-0.505241870880127,
-0.368918120861053... |
You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ. ಬಾಬ್ ಎ... | Solution: ಕುವೆಂಪು | 5 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.3869667649269104,
0.6294419169425964,
-0.2805701494216919,
-0.4607113301753998,
-0.22701872885227203,
-0.4137359857559204,
0.09242954105138779,
0.6455967426300049,
-0.27896177768707275,
0.10856139659881592,
0.12158457189798355,
-0.126698300242424,
-0.8443159461021423,
-0.4036470055580139... |
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 sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "... | Yes | 0 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.5955836772918701,
-0.059299811720848083,
0.1907934844493866,
0.0571073517203331,
0.12388582527637482,
-0.13724853098392487,
0.40531671047210693,
-0.009225836023688316,
-0.25958251953125,
-0.01316889189183712,
0.49813374876976013,
0.7930582165718079,
-0.26857179403305054,
0.6720992326736... |
Q: The task is to generate text based off 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 intent behind doing the event, i.e. why did the person do that action.
PersonX sets up PersonY's tent
A: | to be helpful | 7 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.5015752911567688,
0.38588470220565796,
-0.04312005639076233,
-0.2681117653846741,
-0.45401474833488464,
-1.4556556940078735,
0.3021882176399231,
0.35894107818603516,
0.2832626700401306,
-0.02045414224267006,
-0.098811574280262,
0.2007884979248047,
-1.0573968887329102,
0.5585470199584961... |
Definition: In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Input: italians know it for hosting a maximum-security prison -lrb- 1858-1998 -rrb- holding especially dangerous mafia criminals.
Outpu... | italians know it for hosting a maximum-security prison holding dangerous mafia criminals. | 2 | NIv2 | task934_turk_simplification | zs_opt | [
0.1521328091621399,
0.5242220163345337,
-0.40170544385910034,
-0.13590100407600403,
-0.8837500810623169,
-0.36959609389305115,
0.5097832679748535,
1.1133414506912231,
-0.06072509288787842,
-0.1508493721485138,
-1.4307279586791992,
0.28416091203689575,
-0.8950294852256775,
0.159533113241195... |
Definition: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a s... | I also asked if he needs a menu to make an order. He told me if I knew the location to another restaurant. While being confused, I gave him some directions. | 2 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.06411521881818771,
0.027272123843431473,
0.027864497154951096,
0.07999098300933838,
0.05548962950706482,
-0.21611595153808594,
0.3460785746574402,
0.7724515199661255,
0.19356730580329895,
-0.25125253200531006,
-0.4974185824394226,
-0.3671189248561859,
-0.47381162643432617,
0.211194470524... |
Q: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the... | 1, Annie was the top gymnast in her class. | 7 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.4271106719970703,
0.9762997627258301,
0.3631621301174164,
-0.6748842000961304,
0.5291796326637268,
-0.07328066229820251,
0.4355573356151581,
0.7315971851348877,
-0.039014603942632675,
-0.12370340526103973,
-0.7890398502349854,
-0.3506922721862793,
-0.5394541025161743,
-0.007409160025417... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrec... | A | 8 | NIv2 | task297_storycloze_incorrect_end_classification | zs_opt | [
-0.012398255988955498,
1.0062729120254517,
-0.16993620991706848,
-0.49481213092803955,
-0.1684948205947876,
-0.25386375188827515,
0.5589658617973328,
0.6228639483451843,
0.28039678931236267,
0.09419359266757965,
-0.4421233534812927,
0.009666813537478447,
0.18866261839866638,
-0.31984046101... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Input: Consider Input: Temos que cortar os excessos e temos que aprender a controlar o que compramos.
Output: 生活に不必要なモノは削りながら増やさないようにする努力が必要です
Input: Consider Input: Já não é apenas para aficionados.
Output: オタク... | Output: なぜこうした事を起こるがままにするのか考えなければなりません私たちはかけがえのないものを賭けたギャンブルをしているからです気候変動について何をすべきか何をしないべきかというギャンブルです
| 2 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.0998346358537674,
0.3110506534576416,
-0.4086335301399231,
0.26729074120521545,
-0.25512856245040894,
-0.7517669796943665,
-0.15327613055706024,
0.11626262962818146,
0.4750095009803772,
-0.2842302918434143,
-0.6507530212402344,
0.02471674233675003,
-1.016243815422058,
-0.214675173163414... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Una iniciativa comunitaria implica la participación de la comunidad local.
A: The Community initiative mea... | It is obvious to me that the regional and local authorities, and their representative bodies, the Committee of the Regions and, of course, the European Parliament should have been involved in the clearest way possible and at the earliest possible opportunity framing this programme.
****
| 4 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.3061847686767578,
0.6841644644737244,
0.8319230079650879,
-0.49118155241012573,
0.3968697786331177,
-1.0637385845184326,
0.2754894196987152,
0.829400360584259,
-0.2185337245464325,
0.0501939058303833,
0.10729093104600906,
0.5526343584060669,
-0.5947393178939819,
-0.40934380888938904,
0... |
Given the task definition and input, reply with output. A text is given in Oriya. Translate it from the Oriya language to the Telugu language. The translation must not omit or add information to the original sentence.
ମହାକାଶରେ ଅବସ୍ଥିତ ସାଟେଲାଇଟକୁ ଲକ୍ଷ୍ୟଭେଦ କରିବାର କ୍ଷମତାକୁ ଏହି ପରୀକ୍ଷଣ ପ୍ରତିପାଦିତ କରିଛି । ବିଶ୍ୱର ଚତୁର୍ଥ ରା... | శాస్త్రవేత్త లు సాధించిన ఈ విజయాని కి వారి ని ప్రధాన మంత్రి అభినందించారు. అనుకున్న పని ని చక్కగా నెరవేర్చిన మన శాస్త్రవేత్త లను చూసుకొని యావత్తు దేశం గర్విస్తోందని ఆయన అన్నారు. | 5 | NIv2 | task1019_pib_translation_oriya_telugu | zs_opt | [
-0.44419652223587036,
1.722191333770752,
0.0976017415523529,
-0.2921231687068939,
0.04551121965050697,
0.3704270124435425,
0.4695134162902832,
0.40424418449401855,
0.03289389610290527,
-0.028572464361786842,
-0.8296159505844116,
-0.6315146684646606,
-0.09240014106035233,
-0.429726392030715... |
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Example Input: అందుకే వారి కోసం మేం పెన్షన్ స్కీమ్ అమలు చేస్తున్నాం.
Example Output: साठ साल की आयु के बाद वे भी सम्मान के साथ जी सकते हैं।
Example Input:... | मंत्रिमंडल ने पूरे देश में बाढ़ प्रबंधन कार्यों और वर्ष 2017-18 से 2019-20 के दौरान सीमावर्ती क्षेत्रों से संबंधित नदी प्रबंधन गतिविधियों और कार्यों के लिए एफएमबीएपी को मंजूरी दी
| 3 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.028104329481720924,
0.35339292883872986,
-0.05165904760360718,
-0.20152762532234192,
0.5451227426528931,
-1.3826801776885986,
0.2751210033893585,
0.505825936794281,
-0.3061412572860718,
0.27866703271865845,
-0.46345221996307373,
0.0974145233631134,
-0.883003830909729,
0.0476890206336975... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: درخواست واپس لینے کا عمل کامیابی کے ساتھ مکمل ہونے پر امیدوار کو درخواست واپس لینے کی تصدیق کے لئے ای میل اور ایس ایم ایس بھیجا... | ਅਥਾਰਿਟੀ ਰਾਜਾਂ ਅਤੇ ਰਾਜ ਡੈਮ ਸੁਰੱਖਿਆ ਸੰਗਠਨਾਂ ਨੂੰ ਤਕਨੀਕੀ ਅਤੇ ਪ੍ਰਬੰਧਕੀ ਸਹਾਇਤਾ ਉਪਲੱਬਧ ਕਰਵਾਏਗੀ। | 8 | NIv2 | task1052_pib_translation_urdu_punjabi | fs_opt | [
-0.27075088024139404,
1.3613684177398682,
0.24005727469921112,
-0.2785497009754181,
-0.25499391555786133,
-0.9196256995201111,
0.6126018762588501,
0.4466571807861328,
-0.605037271976471,
0.27339109778404236,
-0.9415216445922852,
-0.2162361443042755,
-0.35048574209213257,
-0.074074402451515... |
Given the task definition and input, reply with output. In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a small room with a bed small drawer and a table', Sentence2: 'two men boogie boarding on a wave'. Is the frequency of the word 'wave' in tw... | No | 5 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.698815107345581,
0.7379190921783447,
-0.6567317843437195,
-0.09332579374313354,
0.20420533418655396,
-0.24609066545963287,
0.5312857031822205,
0.5678027272224426,
-0.16193008422851562,
-0.2215345948934555,
-0.2714332342147827,
-0.3110625147819519,
0.5121504068374634,
-0.3823569416999817... |
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 | 8 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.5607189536094666,
0.336115300655365,
0.5530489683151245,
-0.014926271513104439,
-0.1869944930076599,
-1.019826889038086,
0.5831750631332397,
0.7367091178894043,
-0.4466661512851715,
-0.44135984778404236,
-0.5848467350006104,
-0.5813618898391724,
-0.4446864724159241,
0.08334163576364517,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Another elevator opens and the chiseled thug strides out. He
Output: | glimpses someone as her elevator closes. | 1 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.008174143731594086,
1.0666530132293701,
0.1649618148803711,
0.02609623596072197,
0.058608099818229675,
0.27634891867637634,
-0.28298163414001465,
0.3909790515899658,
0.17370639741420746,
0.39093896746635437,
-0.8385507464408875,
-0.286154180765152,
-1.0479469299316406,
-0.396604776382446... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
[Q]: و نمدها إلى المراكز الريفية و تكلفتها معقولة
[A]: And we'll extend it to the rural centers and make it affordable.
[Q]: وقالت بعدها ، "" أمي هل تعتقدين أن لديهم على شبكة الإنترنت ، تزاوج للإنسان ؟ "" (ضحك) وحينها أدرك... | And the idea is that you take the three-dimensional structure of a protein — in this case it's the crambin protein — you take the backbone — so no cross-linking, no environmental interactions — and you break that down into a series of components.
| 5 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.6300644278526306,
-0.16581323742866516,
0.025899305939674377,
-0.5189621448516846,
-0.5075770616531372,
0.5270082950592041,
0.8818357586860657,
0.1466384381055832,
0.2173786163330078,
0.059132810682058334,
-1.103459119796753,
0.5836924314498901,
-0.7405613660812378,
-0.2493007928133011,... |
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 return one of the emotions which are expressed by the Character in the given sentence. For ... | annoyed
| 0 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.29240500926971436,
-0.186884805560112,
-0.7280617952346802,
-0.3929460644721985,
0.1316538155078888,
-0.6474493145942688,
1.0957963466644287,
0.25146663188934326,
0.35648298263549805,
0.09604492783546448,
-0.17378351092338562,
0.4780113995075226,
-0.7587396502494812,
0.1311701387166977,
... |
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 | 6 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.2933271527290344,
0.25956690311431885,
0.2445390671491623,
0.011892756447196007,
-0.4652026295661926,
-0.7314814329147339,
0.7792890071868896,
0.7242578864097595,
-0.536911129951477,
-0.14961454272270203,
-0.6110571622848511,
-0.40556982159614563,
-0.6892700791358948,
0.10208836942911148... |
Instructions: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an... | [-221, 364, -73, 129, -14, 57, -186, 97, 60] | 3 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.22915422916412354,
-0.36068618297576904,
-0.8280951976776123,
-0.5776565670967102,
0.19285254180431366,
-0.10750843584537506,
0.8058611154556274,
0.6255115270614624,
-0.2890690863132477,
0.014519051648676395,
-0.6241680383682251,
0.13656920194625854,
-0.3738437592983246,
-0.1400633752346... |
Q: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Four LaGrange teens were hired on the spot after they approached the head of the LaGrange Housing Authority and asked for jobs to stay out of trouble and away from gangs. (Photo: Provided, WXI... | When four teen boys, ages 13 and 14, approached the head of the LaGrange Housing Authority in Georgia asking for summer jobs, they weren't just hoping for pocket money. "I said why do you want a job? They said so we want get in trouble and we do not want to be in a gang! I said have people approached you about being in... | 7 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.17534177005290985,
0.630181074142456,
-0.34461021423339844,
-0.48428091406822205,
0.3206213116645813,
-0.6043235659599304,
0.5104010105133057,
0.9004548192024231,
-0.814109742641449,
0.17265675961971283,
0.03515718877315521,
0.1486707329750061,
-0.26898589730262756,
0.03836546093225479,
... |
Teacher:In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
T... | use a lighter | 6 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.0534231960773468,
0.6505899429321289,
-0.1845756471157074,
-0.39038771390914917,
-0.66982102394104,
-0.42396172881126404,
-0.5008735656738281,
0.5852943658828735,
-0.10215981304645538,
-0.19405603408813477,
-0.19020119309425354,
0.20776081085205078,
-0.3760887384414673,
-0.26826840639114... |
Detailed Instructions: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Problem:Verify if the sentiment of the following document towards the entity Steve Ran... | no | 8 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.299914836883545,
0.8375564813613892,
0.5417615175247192,
-0.10698208212852478,
-0.5613452792167664,
-0.8074790239334106,
0.7992755770683289,
0.16717097163200378,
-0.051250096410512924,
0.4751943349838257,
-0.41191720962524414,
-0.2568703889846802,
-0.697334885597229,
0.22471562027931213... |
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