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 Telugu language. The translation must not omit or add information to the original sentence.
[Q]: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਮਾਈਸੁਰੂ ਵਿੱਚ ਰੇਲਵੇ ਪ੍ਰੋਜੈਕਟ ਲਾਂਚ ਕੀਤੇ ਸ਼੍ਰਵਨਬੇਲਾਗੋਲਾ ਵਿਖੇ ਵਿਕਾਸ ਕਾਰਜਾਂ ਦਾ ਉਦਘਾਟਨ ਕੀਤਾ
[A]: ప్రధాన మంత్రి శ్రీ నరేంద్ర మోదీ మైసూరు... | వివిధ భాగస్వాములకు అవసరమైన నూతన శిక్షణను అభివృద్ధి చేయడం ;
| 5 | NIv2 | task1065_pib_translation_punjabi_telugu | fs_opt | [
-0.010455413721501827,
0.14355343580245972,
0.23091183602809906,
-0.24711254239082336,
-0.22634749114513397,
-0.2822039723396301,
0.6307052969932556,
0.7726441025733948,
0.019437653943896294,
0.3934241235256195,
-0.31483882665634155,
-0.5627638697624207,
-0.1877712905406952,
-0.16077412664... |
Part 1. Definition
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'.
Part 2. Example
Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ... | d | 7 | NIv2 | task1420_mathqa_general | fs_opt | [
0.6862832903862,
0.5665911436080933,
-0.39313143491744995,
0.2823941707611084,
0.313994437456131,
-0.026850426569581032,
0.9363985061645508,
1.1100904941558838,
-0.04944590479135513,
0.4172073006629944,
-0.9268738627433777,
-0.195508673787117,
-0.2100164294242859,
-0.07077367603778839,
0... |
Given the task definition and input, reply with output. 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.
ប្រធានទូទៅនៃការដឹកជញ្ជូនតាមអាកាសរបស់ឥណ្ឌូនេស៊ីប៊ូឌី មូលយ៉ាវ៉ាន់ ស៊ុយយីតណូបាននិយាយថា... | 航空運輸のブディ・Mulyawan長官は次のように語った。地方の限られた予算では、いくつかの空港では改善に限界があるが、現在のジャカルタは、2,250メートルの滑走路に140メートルのRESAを整備したり、航空機救助隊や消防トラックを空港に配置するという改善をしていて、何も問題がない。 | 5 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.1709718108177185,
0.3732775151729584,
-0.21321403980255127,
-0.6611027717590332,
0.2653120756149292,
-0.23714256286621094,
0.43610870838165283,
0.4050184190273285,
-0.3103659451007843,
-0.23838654160499573,
-0.6735880374908447,
1.1050076484680176,
-0.855712890625,
0.35778695344924927,
... |
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Okay, the story makes no sense, the characters lack any dimensionally, the best dialogue is ad-libs about the low quality of movie, the ci... | negative | 2 | NIv2 | task284_imdb_classification | zs_opt | [
-0.7332645058631897,
-0.11039482802152634,
0.41707178950309753,
-0.15255913138389587,
0.31453830003738403,
-0.14676885306835175,
0.38031911849975586,
0.3584691882133484,
0.3742687702178955,
0.7740139961242676,
-0.5316606163978577,
-0.2890595495700836,
0.09466326236724854,
-0.47494131326675... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Yes
| 3 | NIv2 | task355_casino_classification_negotiation_other_need | fs_opt | [
0.7635545134544373,
0.31875109672546387,
-0.5321639776229858,
0.2635680139064789,
-0.01490054838359356,
-1.391403079032898,
0.3929368555545807,
0.8354158997535706,
-0.7912102937698364,
0.25473904609680176,
0.2132776528596878,
0.08773151785135269,
-0.9861642122268677,
-0.1318201869726181,
... |
Teacher: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the ... | what do the doctors returning want to do out of caution? | 2 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
0.32112056016921997,
0.041587211191654205,
-0.04081208258867264,
-0.4462463855743408,
0.2602729797363281,
-0.48149967193603516,
0.6484473943710327,
0.6600421071052551,
-0.0119707640260458,
-0.15002650022506714,
-0.2575267255306244,
0.6952757835388184,
0.02751513570547104,
-0.05733004212379... |
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | W | 4 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.20221617817878723,
0.0006342151900753379,
-0.40133050084114075,
-0.43530577421188354,
-0.10544436424970627,
-0.4006936550140381,
0.9920130372047424,
0.2917994260787964,
-0.5015827417373657,
0.12463635951280594,
-0.8306350708007812,
0.464559406042099,
-0.20296251773834229,
0.1276677250862... |
Teacher: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Who was the first American President?
Solution: president of the united states
Reason: The ques... | achilles | 2 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.46196138858795166,
0.2812877595424652,
0.22870203852653503,
0.10492656379938126,
-0.550441324710846,
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0.40311384201049805,
0.6056278944015503,
0.09090650081634521,
-0.04924081265926361,
-0.2162005603313446,
-0.24142152070999146,
-0.6145786046981812,
-0.653086125850677... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: By car , it is north of Paris , ea... | Paraphrase | 4 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.695451021194458,
-0.0029255468398332596,
0.4407753050327301,
-0.27056896686553955,
0.10300959646701813,
0.26544272899627686,
1.367789626121521,
-0.2666164040565491,
0.31737324595451355,
-0.23524154722690582,
-0.19219274818897247,
0.5659512281417847,
-0.801027774810791,
0.509457945823669... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Also according to media reports, New York Senator Hillary Clinton has won... | हालाँकि, "एमआरई सैनिटाईज़ेशन" के लिए अतिरिक्त कदम उठाए जाने हैं; आपूर्ति कर्मियों को अपशिष्ट निपटान प्रणालियों को नुकसान पहुंचाने वाली चीजों को दूर करना चाहिए- संभवतः शौचालय के लिए एक सैन्य शब्द।
****
| 4 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.5940332412719727,
0.024339545518159866,
-0.037196144461631775,
0.41869205236434937,
0.21985206007957458,
-0.943321704864502,
-0.10837030410766602,
1.207881212234497,
-0.5172522068023682,
0.27074089646339417,
-0.5352525115013123,
0.5712002515792847,
-0.1316264569759369,
0.070824831724166... |
Given a paragraph and a claim, classify it this way: If the claim contradicts the evidence present in the paragraph, classify the claim as '0'. If the claim has multiple supporting *AND* contradicting evidences, classify the claim as '1'. If the claim has supporting evidence and the paragraph is in overall favor of the... | Solution: 1 | 5 | NIv2 | task1366_healthfact_classification | fs_opt | [
0.21107174456119537,
0.06501153111457825,
-0.6983275413513184,
0.05012261122465134,
1.117631435394287,
-0.17599137127399445,
0.4580751061439514,
0.9629321098327637,
-0.10915873199701309,
0.9176156520843506,
-0.2709425389766693,
0.5622025728225708,
-0.3536587357521057,
0.20674197375774384,
... |
Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation... | మీరు నిజంగా "% 1", "% 2" మరియు "% 3" ను క్రియాశీలము చేద్దామని అనుకొనుచున్నారా? | 8 | NIv2 | task878_kde4_translation | fs_opt | [
-0.42027583718299866,
0.845645010471344,
0.3264557123184204,
0.41136735677719116,
0.17648491263389587,
-1.3001106977462769,
1.0695514678955078,
0.21548213064670563,
-0.1034836620092392,
-0.18976950645446777,
-0.8118956685066223,
0.28990688920021057,
-0.773987889289856,
0.1374380886554718,
... |
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.
Q: Sentence: 'a man with his finger held up to his nose'. How many words end with the letter 'n' in the sentence.
A: | 1 | 4 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.6441284418106079,
0.7500836849212646,
1.1015435457229614,
-0.9679895043373108,
0.025155875831842422,
-0.36719900369644165,
0.09251640737056732,
-0.052106183022260666,
0.1447913646697998,
-0.043236859142780304,
-0.6244252920150757,
-0.14341183006763458,
-1.1468080282211304,
-0.28705072402... |
Q: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place sugge... | You are looking for a pub and it should have an internet connection and have a television. You want to know the phone number and price range of the venue. | 7 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.4900956153869629,
0.9214658737182617,
-0.6686903834342957,
-0.08970679342746735,
0.2011372148990631,
-0.4352284371852875,
0.6329822540283203,
0.10153599083423615,
-0.09161071479320526,
0.10733960568904877,
0.18991374969482422,
-0.061365433037281036,
-0.038945987820625305,
-0.248629882931... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Para que as verdadeiras identidades das empresas passem, a abertura é fundamental, mas a abertura radical não é solução, porque quando tudo estiver abe... | الجوهر الحقيقي للشركات يأتي من خلال ، الانفتاح وهو أمر بالغ الأهمية ، ولكن الانفتاح الجذري ليس هو حل ، لأنه عندما يكون كل شيء مفتوحاً ، ليس هناك ما هو مفتوح. | 6 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.09971239417791367,
-0.0010869414545595646,
0.1008988544344902,
-1.0271180868148804,
-0.9819058775901794,
0.19503650069236755,
0.09800179302692413,
0.4640829861164093,
0.7663968205451965,
0.043744951486587524,
-0.058891572058200836,
-0.5401503443717957,
-0.5140061378479004,
-0.7433050274... |
Teacher:In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Teacher: Now, understand the problem? Solve this instance: با مدرک لیسانس مدیریت کسب و کار چه کاری می ت... | paraphrase | 6 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.7716131210327148,
0.409651517868042,
0.4707545340061188,
-0.559219479560852,
-0.5895692706108093,
0.24828319251537323,
0.6725490093231201,
0.8905003070831299,
0.7759373188018799,
-0.21648748219013214,
-0.26993173360824585,
0.2641652822494507,
-0.19082383811473846,
-0.14557570219039917,
... |
Q: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
M: Did you turn off the lights and check the locks on all doors and windows? W: Yes, I tole our next do... | (C) Make a two-week long trip. | 7 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.1407640427350998,
0.8756605386734009,
-0.3362036645412445,
-0.6068998575210571,
0.10658839344978333,
-0.4093649983406067,
0.27231013774871826,
0.367625892162323,
0.4584141969680786,
-0.06197962537407875,
-0.4783647358417511,
0.1744089424610138,
0.10947728902101517,
-0.1853717565536499,
... |
Teacher:This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete jus... | Strategic Air Command | 6 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.10987183451652527,
0.8783212900161743,
-0.5878551602363586,
-0.836674690246582,
0.40567272901535034,
-0.2672593295574188,
0.6080750226974487,
0.714164137840271,
0.7770478129386902,
0.9125617742538452,
0.4346954822540283,
-0.3934061527252197,
-0.3604297637939453,
-0.008046970702707767,
... |
In this task, you are given dvd 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: Glückwunsch . Endlich mal wieder ein klassischer Thriller ohne überflüssige Effekthascher... | POS
****
| 4 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
-0.06263214349746704,
0.1663394272327423,
-0.7395133376121521,
-0.08965376764535904,
0.3557589054107666,
-0.37689584493637085,
0.9495837092399597,
0.8821266889572144,
-0.48738807439804077,
0.19047895073890686,
-0.07022703438997269,
-0.1735570877790451,
-0.7515245676040649,
-0.0302731990814... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Polish.
PROBLEM: Door-to-door travel time is reduced, because now, instead of lugging bags, finding a parking space, taking off your shoes or pulling your airplane out of the hanger, you're now just spending that ti... | Spróbujcie ze swoimi dziećmi. Może zadziała. (Śmiech) Chociaż nie sądzę.
| 8 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
0.18077799677848816,
0.4229031801223755,
-0.22507700324058533,
-0.17535434663295746,
-0.24637117981910706,
0.06154540926218033,
0.7522354125976562,
-0.1842568814754486,
0.1244586929678917,
0.05872934311628342,
0.09987568110227585,
0.5350385904312134,
-0.5014865398406982,
0.1256356537342071... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | C | 3 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.6485570073127747,
0.12807580828666687,
0.48014137148857117,
0.17161661386489868,
-0.6230900883674622,
0.010727662593126297,
0.06361541152000427,
1.0821846723556519,
0.14563937485218048,
-0.4187287986278534,
-0.2707572281360626,
0.535832405090332,
-0.6085710525512695,
-0.3072187900543213... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | No | 6 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
0.524128794670105,
0.17401449382305145,
0.813942551612854,
-0.15345913171768188,
0.5151888728141785,
-1.1893532276153564,
0.9783259630203247,
1.0260529518127441,
-1.1186671257019043,
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-0.3048683702945709,
0.4936177730560303,
-0.20368580520153046,
0.11444999277591705,
... |
Detailed Instructions: In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
See one example below:
Problem: Question: Which is an example of a renewable energy resource? Answer: ... | Methyl groups are found within amino acids. | 4 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.4191986322402954,
0.8650898933410645,
-0.14944931864738464,
-0.5671631097793579,
-0.8659079074859619,
-1.1346280574798584,
0.9164631366729736,
0.8922069072723389,
0.13100764155387878,
-0.14802764356136322,
-0.3101552128791809,
0.03705713152885437,
-0.582958996295929,
0.17211264371871948,... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
question:
ואני לא יודע למה, אבל אני זוכר את הסיפור.
answer:
And I don't know why, but I remember the story.
question:
והוא שתה קצת מהבירה ונתן קצת לאחותי והיא שתתה מעט, והם הציעו את זה לי.
answer:
And he had a ... | It's hard to get them to envision themselves as a scientist, which involves standing up in front of people like we're doing here at this symposium and presenting something as a knowledgeable person, and then seeing yourself in the role as a scientist and giving yourself the tools to pursue that.
| 9 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.04829345643520355,
0.8500854969024658,
0.3961164355278015,
-0.015330657362937927,
-0.49174490571022034,
-1.1568679809570312,
0.09567965567111969,
0.2631198763847351,
0.8381735682487488,
-0.2718566656112671,
-0.38909977674484253,
0.34836679697036743,
-1.1099663972854614,
0.41645762324333... |
Q: In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
زیرا اگر قوم مرا رها نکنی، همانا من بر تو وبندگانت و قومت و خانه هایت انواع مگسهافرستم و خانه های مصریان و زمینی نیز که برآننداز انواع مگسها پر خواهد شد.
A: | And the magicians did so with their enchantments to bring forth lice, but they could not: so there were lice upon man, and upon beast. | 7 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.44095689058303833,
0.6469252109527588,
-0.6764195561408997,
-0.5816678404808044,
-0.5220905542373657,
-0.6401679515838623,
1.1494166851043701,
0.009719994850456715,
-0.4287455379962921,
-0.09196819365024567,
-0.23439452052116394,
1.0674526691436768,
-0.6610077619552612,
-0.0921824574470... |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the foll... | 84. | 9 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.15701064467430115,
0.2038726657629013,
-0.7458946704864502,
-0.014440082013607025,
-0.2066597044467926,
-0.22655823826789856,
0.537549614906311,
0.28686732053756714,
-0.09618990123271942,
0.12326060235500336,
-0.10093323141336441,
0.6012256741523743,
-0.6439306735992432,
-0.1574521660804... |
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'.
One example is below.
Q: i am ever feeling nostalgic about the fireplace i will know that it is still on the property
A: love
Rationale: The... | love | 9 | NIv2 | task875_emotion_classification | fs_opt | [
-0.16228072345256805,
0.44749534130096436,
0.5007660388946533,
-0.38715797662734985,
0.3325843811035156,
-1.1396125555038452,
1.4456284046173096,
0.7087122201919556,
-0.09240706264972687,
-0.3763653337955475,
-0.49154821038246155,
-0.05372806638479233,
-1.2077946662902832,
0.01796226575970... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Questa è la domanda basilare che si pone chiunque voglia scoprire e studiare i buchi neri.
A: | هذا سؤال اساسي لأي شخص مهتم بالبحث عن و دراسة الثقوب السوداء | 7 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.8055195808410645,
0.28309905529022217,
0.12692901492118835,
-0.7233506441116333,
-0.35326656699180603,
-0.3195621967315674,
0.7984050512313843,
-0.2689703702926636,
0.400584876537323,
0.3183305859565735,
-0.46784719824790955,
-0.6199356317520142,
-0.9033935070037842,
0.3293238878250122,... |
Definition: You are given a statement written in Gujarati. 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: વાવીયાળા (તા. ગરૂડેશ્વર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના નર્મદા જિલ... | ભારત | 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.008630439639091492,
0.6704692840576172,
0.44472914934158325,
-0.49969470500946045,
-0.025167694315314293,
-0.6288987398147583,
0.6690436601638794,
0.6388276219367981,
-0.24565845727920532,
-0.03184036910533905,
-0.3117123246192932,
-0.24085108935832977,
-0.3070070743560791,
-0.2028504610... |
Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Input: What metropolis should I look in, and what types of food do you want?
Output: | Yes | 3 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
-0.6282559037208557,
0.8174481391906738,
0.41838493943214417,
0.20655491948127747,
-0.7532802820205688,
0.7098034620285034,
0.882483959197998,
0.4255550801753998,
0.39427125453948975,
-0.007354201283305883,
0.3882450759410858,
-0.3967272639274597,
-0.6830190420150757,
-0.07133513689041138,... |
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: Adam was rid... | 1 | 0 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
0.36938101053237915,
0.5679177641868591,
0.07722192257642746,
-0.38018864393234253,
-0.7106874585151672,
-0.49531739950180054,
0.36720943450927734,
0.506066083908081,
0.22182616591453552,
0.11656707525253296,
-0.8103169202804565,
0.18547554314136505,
-0.05017917603254318,
-0.10587835311889... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT
| 3 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.2278307676315308,
0.4477037489414215,
0.6923447847366333,
0.4907476603984833,
-0.35302144289016724,
-0.6770049333572388,
0.7085443735122681,
0.5813280344009399,
0.7317967414855957,
0.1508747786283493,
0.37407246232032776,
0.15241548418998718,
-0.21541407704353333,
-0.726849377155304,
... |
Detailed Instructions: 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 i... | She was participating in a charity weight lifting competition. | 9 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.2986219525337219,
0.03165523335337639,
0.011376751586794853,
0.05801759660243988,
-0.03848348557949066,
-0.6063770651817322,
-0.1097564622759819,
1.1176831722259521,
0.0023467293940484524,
-0.49109959602355957,
-0.5498417019844055,
-0.4205884039402008,
-0.22535552084445953,
-0.0439230948... |
instruction:
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. 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 classification of each word from the labels (reason) =... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', '... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.6885215640068054,
0.0453217551112175,
-0.006403403822332621,
-0.3253590762615204,
0.8338478803634644,
-0.17136985063552856,
1.0174005031585693,
1.137386679649353,
-0.5191871523857117,
0.36350753903388977,
-0.0965079665184021,
-0.2063349485397339,
-0.356210321187973,
-0.15359364449977875,... |
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
| 3 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.1219230443239212,
0.1837550699710846,
0.1363033652305603,
0.09372467547655106,
-0.38298970460891724,
-0.3764839768409729,
1.086027979850769,
0.5045546889305115,
-0.3653639256954193,
-0.49194902181625366,
-0.739202618598938,
-0.3009752631187439,
-0.7125851511955261,
0.4092862010002136,
... |
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.
30بی سی ایم ہے۔ سردست ان آبی ذخائر میں جمع پانی کی مقدار 9. | கட்கரி, நமது நாட்டில் தண்ணீர் பற்றாக்குறை இல்லை என்று தெரிவித்தார். | 0 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
0.30600205063819885,
0.8570515513420105,
-0.5886220932006836,
-0.41220200061798096,
0.06143636256456375,
-1.5453479290008545,
-0.03159225732088089,
0.217978835105896,
-0.5593078136444092,
0.054996222257614136,
0.023198790848255157,
0.14374344050884247,
-1.080349326133728,
0.196269810199737... |
Teacher:Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Teacher: Now, understand the problem? Solve this instance: What did Jews I mean tax collectors try to prevent from being installed in the Temple?
Student: | What did tax collectors try to prevent from being installed in the Temple? | 6 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.1852782666683197,
1.1291135549545288,
-0.27669256925582886,
-0.02183748036623001,
-0.7201924324035645,
-0.7966755628585815,
0.1274946928024292,
1.0482730865478516,
0.43508046865463257,
-0.22619357705116272,
0.24709750711917877,
-0.2728155553340912,
-1.0911211967468262,
-0.86379778385162... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Q: Sentence1: Rene was at the arcade with a couple of friends on a Friday n... | No | 4 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.34793442487716675,
0.5315069556236267,
0.6025330424308777,
-0.7249553203582764,
-0.3632286489009857,
-0.485504150390625,
0.39482173323631287,
0.6743465065956116,
0.1642434000968933,
0.1805868148803711,
0.08082473278045654,
-0.32754477858543396,
-0.41044408082962036,
0.24709510803222656,... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
[EX Q]: But that's a slightly different story, which I won't go into now.
[EX A]: אבל זהו סיפור קצת שונה. שאליו לא אכנס עכשיו.
[EX Q]: Now, look at this.
[EX A]: כעת, הסתכלו על זה.
[EX Q]: So we looked at that observation... | אז הסתכלנו על ההבחנה הזו שלמעשה הייתה כישלון וחשבנו, מה אנחנו יכולים לעשות בנידון.
| 6 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.7601503133773804,
0.4686228930950165,
0.4355335831642151,
0.11832715570926666,
-0.23026154935359955,
-0.3060576319694519,
0.33195924758911133,
0.38894355297088623,
0.5890683531761169,
-0.15136978030204773,
-0.18992164731025696,
-0.21717220544815063,
-0.35924988985061646,
0.4174765348434... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
FG: To dlatego że,
| FG: Bueno, yo simplemente siempre he — | 5 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.7684193253517151,
1.2512359619140625,
0.07022003829479218,
-0.559748113155365,
-0.08849404752254486,
-0.39299285411834717,
0.12691332399845123,
-0.12347620725631714,
0.19200697541236877,
-0.6052966117858887,
-0.03250056505203247,
0.9675320386886597,
-1.2161507606506348,
-0.1515863090753... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | for the frequency records of all rows , most of them are less than 2 ghz .
| 6 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
-0.04980709031224251,
-0.12952908873558044,
-0.38351577520370483,
0.11347813904285431,
-0.03589688986539841,
-0.3736037015914917,
0.5511598587036133,
0.38640889525413513,
0.1391911506652832,
-0.2169889360666275,
-0.49591064453125,
-0.147500142455101,
0.0767526626586914,
0.6421821117401123,... |
Detailed Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
See one example below:
Problem: Sentence: 'as a guy jumps over the snow with his snowboard people riding on the li... | a man si playing tennis no a gray court | 4 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.3891425132751465,
0.9103630781173706,
0.0624646320939064,
-0.9391412734985352,
-0.10089457035064697,
-0.25716277956962585,
0.5778007507324219,
0.33084625005722046,
0.24940945208072662,
-0.9414645433425903,
-1.6345274448394775,
0.5603567957878113,
-1.024864673614502,
0.37902697920799255,... |
Q: Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Questions: ['when did david pezler mother die?']
A: | 1992 | 7 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | zs_opt | [
0.284834086894989,
0.49803972244262695,
-1.085508942604065,
-1.194347858428955,
-1.167959451675415,
-0.22178404033184052,
1.3014858961105347,
-0.04655049741268158,
1.0385618209838867,
0.30660152435302734,
-0.0969754010438919,
-0.14943672716617584,
-0.6873390078544617,
0.04366183280944824,
... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | no | 4 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.022839823737740517,
0.3070636987686157,
0.39047449827194214,
-0.042572129517793655,
0.09303097426891327,
-1.4190192222595215,
0.49623915553092957,
-0.014070315286517143,
0.19746467471122742,
0.02380402572453022,
-0.3503650724887848,
-0.6413441896438599,
-1.0189597606658936,
-0.079889290... |
Detailed Instructions: In this task, you are to Translate German text to English
Q: Die Abstützung des Batteriegehäuses am Schachtboden erfolgt über elastische Mittel, z.B.
A: | The battery housing is supported on the shaft floor by elastic means, e.g. | 9 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
0.7537952661514282,
0.7581449747085571,
-0.29210400581359863,
-0.8306121230125427,
0.0074528115801513195,
-1.0458102226257324,
0.4636194705963135,
0.2496841549873352,
0.14025087654590607,
0.3643222749233246,
-0.29356759786605835,
-0.5561402440071106,
-0.5364968180656433,
0.4314537048339844... |
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 | task1215_atomic_classification_capableof | zs_opt | [
0.1750248372554779,
0.7617029547691345,
0.3773537278175354,
-0.39397045969963074,
-0.29953300952911377,
-0.8413357138633728,
1.1969738006591797,
0.25065237283706665,
-0.01769087463617325,
-0.43503570556640625,
-0.3841547667980194,
-0.3886462450027466,
-0.37704718112945557,
0.43118831515312... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: بگو: «اى مردم، اگر در دین من تردید دارید، پس [بدانید که من] کسانى را که به جاى خدا مىپرستید نمىپرستم، بلکه خدایى را مىپرستم که جان شما را مىستاند، و دستور یافتهام که از مؤمنان باشم.»
A: | Say: "O men, if you have doubt about my faith, then (know) I do not worship those you worship apart from God, but I worship God who makes you die; and I am commanded to be a believer, | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.32178378105163574,
0.5859813690185547,
-0.38231948018074036,
-0.6715916395187378,
-0.8363150358200073,
-0.946523904800415,
0.7357523441314697,
-0.08262301981449127,
-0.22714191675186157,
-0.18445223569869995,
0.21167396008968353,
0.08783668279647827,
-0.776885986328125,
0.19491714239120... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Q: וההתפתחות הזו, בילדות, משקפת את ההתפתחות של המין שלנו.
A: | Y este desarrollo en la infancia refleja la evolución de nuestra especie. | 9 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.0773297548294067,
0.7003899216651917,
-0.03940862417221069,
-0.1133490800857544,
-0.7999333739280701,
0.25739580392837524,
0.022257337346673012,
0.515360951423645,
1.2851518392562866,
-0.6905251145362854,
-0.2935619056224823,
0.3395533263683319,
-1.1730265617370605,
0.47210413217544556,... |
Definition: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "w... | What time will the two speakers meet? (A) At nine o'clock (B) Earlier than nine o'clock (C) Later than nine o'clock. | 2 | NIv2 | task246_dream_question_generation | zs_opt | [
0.6364387273788452,
0.03938760235905647,
-0.3341657519340515,
-0.5222474336624146,
-0.2498743236064911,
0.383311003446579,
0.43270695209503174,
0.04428047686815262,
0.5024232268333435,
-0.4074552357196808,
-0.5514823198318481,
0.017282938584685326,
0.40977248549461365,
0.01964872144162655,... |
Definition: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remembe... | There were more calluses on the worker's hands than on their feet because the _ were worked easier. | 2 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7610900402069092,
0.20811882615089417,
-0.12311846017837524,
-0.18863564729690552,
0.715732216835022,
-0.7542499899864197,
0.9392322301864624,
1.0428228378295898,
-0.5002870559692383,
-0.11551585793495178,
-0.47423791885375977,
0.15400366485118866,
-0.20649296045303345,
-0.09178045392036... |
In this task, you need to replace a letter in the sentence with another given letter.
Ex Input:
Sentence: 'a man eats food that is inside a banana peel'. Replace the letter 'n' with 'k' in the sentence.
Ex Output:
a mak eats food that is ikside a bakaka peel
Ex Input:
Sentence: 'a little girl is sitting in a suitca... | j couple of people wjiting nejr jn electric trjin
| 1 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.22028613090515137,
0.7913855314254761,
-0.39977750182151794,
-0.9498531222343445,
0.12063483148813248,
0.08517555147409439,
0.8020412921905518,
0.024841273203492165,
0.11812624335289001,
-0.3998169004917145,
0.14135462045669556,
-0.3822738528251648,
-0.6918048858642578,
0.30852687358856... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: "ສຳຫຼັບຂ້າພະເຈົ້າແລ້ວ ລາວເປັນຄືກັນກັບອ້າຍ ເປັນຫຼາຍກວ່າອ້າຍຄີງໆ" ອິສິໂດໂຣ ໄດ້ກ່າວ.
Output: 「私にとって、彼は自分の兄弟以上に兄弟のように感じる」とイシドロは言った... | Output: 従業員が参加を強制された「フォーラム」コースは、ワーナー・エアハードアンドアソシエイツによって発展していた。
| 2 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.77696293592453,
-0.08079786598682404,
-0.44077950716018677,
-0.15855154395103455,
-0.1778535544872284,
-0.7996635437011719,
0.6857706308364868,
0.18095621466636658,
0.3163577616214752,
-0.6344414353370667,
-0.5766452550888062,
0.48362696170806885,
-1.0621014833450317,
0.402654230594635,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da T... | That's basically the difference. | 1 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.17383542656898499,
0.4887450933456421,
0.08279229700565338,
-0.2788271903991699,
-0.07398487627506256,
-0.5294800996780396,
-0.3392781615257263,
0.6426253318786621,
0.5814054012298584,
-0.3492717444896698,
-0.17810767889022827,
0.2934480309486389,
-0.4158671498298645,
-0.165397465229034... |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Problem:uEOSViBOkCgNcyMewKgB, HrFuLYoSViBOkCgNcydjBqKVfGX
Solution: | b, c, d, f, g, h, i, j, k, l, n, o, q, r, s, u, v, x, y | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
0.3703322112560272,
1.2656117677688599,
-0.2740557789802551,
-0.15009531378746033,
0.049155041575431824,
-0.3312191367149353,
1.1780970096588135,
0.14387096464633942,
-0.13822171092033386,
-0.2497011423110962,
-0.8141802549362183,
-0.34048396348953247,
0.2810575067996979,
-0.17190329730510... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: Wcześniej miałam już stany lękowe, ale ataki paniki tuż przed powrotem były nie do zniesienia. "" Statystycznie, im krócej kobieta odpoczywa po urodzeniu dziecka, tym częściej zapada na poporodowe zaburzenia nastroju, jak ... | I already suffer from anxiety, but the panic attacks I had prior to returning to work were unbearable. "" Statistically speaking, the shorter a woman's leave after having a baby, the more likely she will be to suffer from postpartum mood disorders like depression and anxiety, and among many potential consequences of th... | 4 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.17228077352046967,
0.35668113827705383,
-0.627344012260437,
-0.12606248259544373,
-0.4732652008533478,
-0.48541730642318726,
1.0081427097320557,
0.46030744910240173,
0.41619163751602173,
0.008874354884028435,
-0.21314162015914917,
0.4189547002315521,
-1.0806947946548462,
0.4611176848411... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 198
| 3 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.15441805124282837,
0.38302481174468994,
-0.8024897575378418,
-0.3017093539237976,
-0.03145432472229004,
-0.23687419295310974,
0.6898677349090576,
1.2688716650009155,
-0.24654516577720642,
-0.6483510732650757,
-0.7001302242279053,
0.5347962379455566,
-1.0808534622192383,
-0.04560906440019... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)altern... | 1 | 0 | NIv2 | task827_copa_commonsense_reasoning | fs_opt | [
-0.442715585231781,
0.3576359152793884,
-0.12993347644805908,
0.1856997013092041,
0.11156561970710754,
0.6854859590530396,
0.8442253470420837,
0.23055145144462585,
0.5498917102813721,
-0.05355275794863701,
-0.10432141274213791,
-0.6894668340682983,
0.34898829460144043,
0.27430200576782227,... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | No | 2 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.3679850697517395,
0.1723145693540573,
0.3988755941390991,
-0.17064231634140015,
-0.38769882917404175,
-0.576209545135498,
1.2004072666168213,
0.06913351267576218,
-0.3756425678730011,
-0.5831500291824341,
-0.6475410461425781,
-0.4224534034729004,
-0.760222852230072,
0.4515465199947357,
... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose event record fuzzily matches to 50 km . there is only one such row in the table . the year record of this unqiue row is 2011 . the competition record of this unqiue row is world championships . | 0 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.17183232307434082,
-0.2345111221075058,
-0.22697165608406067,
0.10259465873241425,
0.01843583583831787,
-0.3867068290710449,
0.3725128173828125,
0.40067023038864136,
-0.037737518548965454,
-0.1451587677001953,
-0.7472161054611206,
-0.024468645453453064,
0.021332133561372757,
0.6052066087... |
Q: In this task, you are given a sentence in English, and your task is to translate it into Persian.
im sorry i disappointed you , sir , but i should have never come here in the first place .
A: | من متاسفم من شما را نااميد کردم ، از اولش هم نبايد به اينجا مياومدم . | 7 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.5132198333740234,
0.8412734866142273,
-0.08721436560153961,
0.01258937455713749,
-0.027203544974327087,
-0.6481925249099731,
0.30127501487731934,
0.07636099308729172,
0.2614496052265167,
0.7705665826797485,
0.17572373151779175,
0.768946647644043,
-0.9345054030418396,
-0.1520814001560211... |
Instructions: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Input: Sentence:... | Male | 3 | NIv2 | task340_winomt_classification_gender_pro | zs_opt | [
-1.5146234035491943,
0.6588863134384155,
-0.7014769911766052,
-0.8746854662895203,
0.1831766664981842,
-0.01984410732984543,
-0.4895298182964325,
0.5328602194786072,
1.1938077211380005,
0.3118981719017029,
-0.7951271533966064,
-0.011766910552978516,
-0.23090001940727234,
-0.143908798694610... |
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.
Example input: Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public sch... | Why do our mother's characteristics leave us an indelible impression? | 3 | NIv2 | task311_race_question_generation | fs_opt | [
0.5540472269058228,
0.17640197277069092,
-0.48967283964157104,
-0.307974249124527,
0.9888526797294617,
-0.5069304704666138,
0.9367640018463135,
0.13632863759994507,
0.7605489492416382,
-0.2315131276845932,
-0.15436553955078125,
0.862891435623169,
-1.7337262630462646,
0.37260767817497253,
... |
Teacher:In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Teacher: Now, understand the problem? Solve this instance: The System that was founded on May 25 , 1885 has how many vehicles ?
Student: | 69 | 6 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.28167659044265747,
-0.476919561624527,
0.06549520790576935,
0.4874633252620697,
-0.765536367893219,
-0.6406519412994385,
0.2586000859737396,
0.5425956845283508,
-0.35352590680122375,
-0.3650595545768738,
-0.5669745206832886,
-0.5981584787368774,
0.051117926836013794,
-0.4175725877285003... |
Q: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
a programming language that had a bui... | Haskell | 7 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.36100703477859497,
0.6811835765838623,
0.5042524933815002,
-0.16770026087760925,
-0.26661211252212524,
-0.7598965167999268,
0.9465988278388977,
0.17585937678813934,
0.6045082211494446,
-0.3819773197174072,
-0.667569100856781,
-0.10223005712032318,
-0.33043956756591797,
0.124864012002944... |
Given the task definition and input, reply with output. You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
How do you check balance in account of SBI ?
What happend to r... | How do you check balance in account of SBI ? | 5 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
-0.7015820741653442,
0.8222431540489197,
-0.3083498477935791,
-0.028935078531503677,
-0.6229511499404907,
0.5803942084312439,
0.4396095871925354,
-0.2558302581310272,
0.3948826193809509,
0.11524729430675507,
-0.3002399504184723,
0.02725418284535408,
-0.041900839656591415,
0.481350719928741... |
You will be given a definition of a task first, then some input of the task.
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its anton... | The computer that PersonX was using belonged to PersonY, so _ asked her to be very careful with it. | 1 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.9572321176528931,
0.46998777985572815,
-0.5235252380371094,
0.017724432051181793,
0.3605547845363617,
-0.7510260343551636,
1.5732812881469727,
0.6131783723831177,
-0.10599257797002792,
-0.5331782698631287,
-0.09131370484828949,
0.17634688317775726,
-0.39635562896728516,
0.554435133934021... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | None | 3 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.19156073033809662,
0.1334688812494278,
0.014191620983183384,
-0.09089680016040802,
-0.4825505018234253,
-0.41423216462135315,
0.9586879014968872,
0.07252751290798187,
0.6763136386871338,
-0.42359256744384766,
-0.8482223749160767,
0.14457157254219055,
0.37120702862739563,
-0.029214117676... |
Teacher:You will be given a review about a book, an item, a place or a movie. After that, a question is given that you should answer using a certain span of the review. Your answer should be from the review itself and should not contain extra words, and should not be a combination of different spans. If there's no dire... | fantastic view over the lake and city | 6 | NIv2 | task144_subjqa_question_answering | zs_opt | [
-0.12247134745121002,
0.14590629935264587,
0.2449377477169037,
-0.0447101891040802,
0.1382865160703659,
-0.34140023589134216,
0.6753991842269897,
0.2924584448337555,
-0.17547482252120972,
-0.05468352511525154,
0.45491161942481995,
0.15653404593467712,
-1.0062501430511475,
-0.07452962547540... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise g... | Yes | 0 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.1667051911354065,
-0.04000766947865486,
-0.32773321866989136,
-0.062175165861845016,
0.2068546563386917,
-0.34910649061203003,
-0.007457397878170013,
0.2108829766511917,
-0.8307495713233948,
-0.6834554672241211,
0.26320624351501465,
0.7227687835693359,
-0.21570490300655365,
0.3191634416... |
Detailed Instructions: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. 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. You are expected to classify the pass... | Race | 9 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.3380679786205292,
0.6595144867897034,
-0.08714550733566284,
0.07813567668199539,
-0.018008854240179062,
0.07418829202651978,
1.1803107261657715,
0.8619895577430725,
0.21089547872543335,
0.5574822425842285,
-0.6079154014587402,
0.21961918473243713,
-0.38484030961990356,
-0.09096664190292... |
In this task, you are given a sentence in Polish language and its corresponding English translation. Here, your job is to output label "yes" if the translation is correct, otherwise output "no".
Example Input: Polish: Możemy to sobie wyobrazić, powiedzmy, że to ziemia
English: As we can imagine, let's say that this... | no
| 3 | NIv2 | task832_poleval2019_mt_classification | fs_opt | [
-0.4849904775619507,
0.9433197975158691,
0.8373169302940369,
0.19371607899665833,
0.7363348603248596,
-1.0877406597137451,
0.5260395407676697,
0.19936273992061615,
0.33813872933387756,
0.08133785426616669,
-0.23587806522846222,
0.5754152536392212,
-0.8307746052742004,
-0.22761216759681702,... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Ex Input:
Tori: Why are you... | Destroyer
| 1 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
0.28437575697898865,
0.370257705450058,
-0.28474241495132446,
-0.38953498005867004,
-0.08624903112649918,
-0.9500893950462341,
0.8656271696090698,
0.7655332088470459,
0.17061620950698853,
0.4712793529033661,
-0.8225508332252502,
0.056230589747428894,
-0.5855869054794312,
0.2779759764671325... |
In this task you are given a premise and two alternatives in Haitian. 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.
Bag ... | 1 | 0 | NIv2 | task1168_xcopa_commonsense_reasoning_ht | zs_opt | [
0.18461129069328308,
0.7306902408599854,
-0.08794381469488144,
-0.027111945673823357,
-0.16299758851528168,
-0.48053446412086487,
0.18032976984977722,
0.7090264558792114,
0.1294969767332077,
0.22339068353176117,
-0.5860465168952942,
-0.46830177307128906,
0.031281694769859314,
0.08180741965... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
"What this has sh... | 「これで示したことは、単にポップやロック以上の別のスタイルがあるということである」とLordi氏はニュースメディアに驚きの勝利の後で語った。 | 5 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.1968872845172882,
0.47825634479522705,
0.26535680890083313,
0.1107986569404602,
0.09829437732696533,
0.15374839305877686,
0.3848246932029724,
-0.15527553856372833,
0.1263934224843979,
-0.9736934900283813,
-0.4685569107532501,
0.2150193452835083,
-0.809687614440918,
-0.013750122860074043... |
Given the task definition and input, reply with output. This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
©2005-2018 Karnar మమ్మల్ని సంప్రదించండి సైట్ మ్యాప్ Last modified: August 19 2019 03:55:15.
| Telugu | 5 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.2609369158744812,
0.6868613958358765,
0.6745638847351074,
0.18904925882816315,
-0.050898514688014984,
-0.4609363079071045,
-0.01610865443944931,
-0.1789862960577011,
0.10747558623552322,
0.12040437012910843,
0.11099492013454437,
0.3636113107204437,
-0.6741433143615723,
-0.01931268349289... |
Definition: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Input: name[xname], cuisine[English], rating[5 out of 5], near[xnear]
Output: | xname is a Five-Star English food restaurant near xnear. | 2 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.40683260560035706,
0.46151819825172424,
-0.32120442390441895,
0.15737369656562805,
-0.06453785300254822,
0.07542204856872559,
0.6291012763977051,
0.2506289482116699,
0.2589324712753296,
-0.5361576080322266,
0.05762927979230881,
-0.2997230887413025,
-0.7198892831802368,
0.425862312316894... |
Part 1. Definition
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.
Part 2. Example
Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly.,... | butter, onion, shallot, very, celery, baking potatoes, celery root, salt, white pepper, Chicken | 7 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.517146646976471,
0.13885393738746643,
-0.19708380103111267,
0.3909158706665039,
-0.016960659995675087,
0.1958063691854477,
1.0047634840011597,
0.8220536708831787,
-0.32901430130004883,
-0.2661881446838379,
-0.2093523144721985,
0.04709742218255997,
-0.4055098295211792,
0.27766770124435425... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
One example is below.
Q: And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
A: و خورشید [نیز برای آنان نشانهای از قدرت ماست] که ... | ای پیامبر! زمانی که خواستید زنان را طلاق دهید، آنان را در زمان عده [آن زمانی که از عادت پاک شده و با همسر آمیزش نکرده باشند] طلاق دهید و حساب عده را نگه دارید، و از خدا پروردگارتان پروا کنید، و آنان را [در مدتی که عده خود را میگذرانند] از خانه هایشان بیرون مکنید، و آنان هم [در مدت عده] بیرون نروند مگر اینکه مرتکب عمل ... | 9 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
0.05290699377655983,
1.002475380897522,
-0.9015507102012634,
-0.15267238020896912,
-0.22485794126987457,
-1.0656187534332275,
0.8408598899841309,
0.6033678650856018,
0.069225013256073,
0.19963443279266357,
-0.9418708086013794,
0.6233909130096436,
-0.6687570214271545,
-0.0484013669192791,
... |
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 context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer wi... | henry mancini | 0 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.40987318754196167,
0.44945019483566284,
-0.8816239833831787,
-0.34904149174690247,
0.5000466704368591,
0.32408326864242554,
0.5504505038261414,
0.7647844552993774,
-0.274270623922348,
-0.0222959965467453,
-0.21119320392608643,
0.9725620746612549,
-0.5357750654220581,
0.5240347385406494,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby... | 司法省は、スティーヴンスを再び裁判する気はないと述べた。 | 6 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.09623068571090698,
0.6743338108062744,
-0.2113235741853714,
0.06259799003601074,
-0.01792239025235176,
-0.13949856162071228,
0.4154263138771057,
0.4258849322795868,
0.20216423273086548,
-0.4397459626197815,
-0.3848824203014374,
0.3694800138473511,
-0.3622415065765381,
0.4725762009620666... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
--------
Question: Says Tennessees higher ... | ethics
| 7 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.012802695855498314,
0.3378605246543884,
0.5099195837974548,
-0.045863062143325806,
-0.03758201748132706,
-0.322207510471344,
0.39787933230400085,
0.643921971321106,
-0.3400217890739441,
0.25262466073036194,
-0.06330117583274841,
0.3130531311035156,
-0.5743830800056458,
0.071097910404205... |
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? ... | background
| 1 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.07890661060810089,
0.05331012234091759,
-0.4597926139831543,
0.5058677196502686,
-0.0209573432803154,
0.29996588826179504,
0.43026071786880493,
1.386083722114563,
0.20454806089401245,
0.02033321186900139,
-0.6028037071228027,
-0.06708060204982758,
-0.17435020208358765,
0.135539561510086... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
One example is below.
Q: The sound seems really good but sometimes it cuts in and out which ... | Bad review | 9 | NIv2 | task929_products_reviews_classification | fs_opt | [
0.24541446566581726,
-0.19618061184883118,
-0.6705929040908813,
-0.0038534807972609997,
0.4762967824935913,
-0.9859354496002197,
1.0303282737731934,
0.8333543539047241,
-0.5019947290420532,
0.6316447257995605,
0.07261141389608383,
0.03367612510919571,
-0.10161148011684418,
0.12519854307174... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Ex Input:
A woman in a black hat is standing by the subway.
Ex Output:
O femeie cu o pălărie neagră stă lângă metrou.
Ex Input:
Mayor says 14 dead in Texas fertilizer plant blast... | Canapea albastră și pat dublu într-un living.
| 1 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
0.21500688791275024,
0.31165069341659546,
-0.7254517674446106,
-0.06709444522857666,
-0.18372103571891785,
-0.22192978858947754,
0.021096035838127136,
1.3279407024383545,
0.8616044521331787,
0.46721529960632324,
0.04690772294998169,
0.46970194578170776,
0.30836743116378784,
-0.273403912782... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Input: 16, 17, ['5223', '... | 8537, 6183 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.34347960352897644,
0.3766649663448334,
-0.9545885920524597,
-0.360556036233902,
-0.002213673200458288,
-0.2213899940252304,
0.6477914452552795,
-0.29888680577278137,
0.03694356232881546,
0.09456764161586761,
-0.682788074016571,
0.12190429121255875,
0.09931003302335739,
0.019000688567757... |
Definition: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Input: (CNN) Republicans are fin... | (G) | 2 | NIv2 | task302_record_classification | zs_opt | [
-0.09085442125797272,
0.2386462688446045,
0.11759993433952332,
0.42379945516586304,
0.19713357090950012,
0.2848234176635742,
0.1815839558839798,
0.8396780490875244,
0.11911116540431976,
0.5646983981132507,
0.026240728795528412,
0.26364004611968994,
-0.006901988759636879,
-0.230853900313377... |
Given the task definition and input, reply with output. The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Ow!
| Ow! | 5 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.8404306769371033,
1.3473339080810547,
0.5838751792907715,
0.41183170676231384,
0.4147253632545471,
-0.6919409036636353,
0.06971192359924316,
-0.15466956794261932,
0.2943410873413086,
-0.3644807040691376,
-0.29407522082328796,
0.6700459718704224,
-0.4656529128551483,
0.10304506123065948,... |
Part 1. Definition
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Part 2. Example
We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Answer: flips upside - down
Explanation: Flippi... | is on a sidewalk bordering the yard. | 7 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.015393160283565521,
0.41519880294799805,
-0.018680689856410027,
-0.4996746778488159,
0.09203366935253143,
-0.5749583840370178,
0.23884394764900208,
0.7775796055793762,
0.2171991765499115,
0.139634907245636,
-0.5686535835266113,
0.09157857298851013,
-0.9229222536087036,
0.0445164404809474... |
Instructions: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain condit... | SELECT CampusFee FROM csu_fees WHERE Year = "San Jose State University" AND Year = 1996 | 3 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.5642802119255066,
0.6330658197402954,
-1.3313978910446167,
0.9806607961654663,
-0.18400120735168457,
-0.23310819268226624,
0.5389404892921448,
0.9921815991401672,
-0.5863597393035889,
0.6952877044677734,
0.4803178906440735,
0.3063959777355194,
0.007149583660066128,
0.22317960858345032,
... |
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: 'Gabrielle looked up at Xena thoughtfully .', Argument/Subject 1: 'xena', Argument/Subject 2: 'gabrielle'
A: | look at | 4 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.6949099898338318,
0.6780103445053101,
0.3053690195083618,
-0.7126798629760742,
-0.832416296005249,
-1.3919148445129395,
0.6117405295372009,
0.884879469871521,
0.657634973526001,
-0.2969301640987396,
-0.2545177936553955,
-0.5838747620582581,
-0.7353967428207397,
-0.11108019948005676,
0... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: Ora, uno degli svantaggi di essere un lessicografo è che la gente di solito non vede il dizionario come qualcosa di caldo, morbido e confortevole.
A: | Niestety, słowniki nie wywołują dobrych skojarzeń. Niestety, słowniki nie wywołują dobrych skojarzeń. | 9 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.6381000876426697,
0.5427274107933044,
-0.04203737527132034,
-0.42541760206222534,
0.2188381850719452,
-1.3792561292648315,
-0.6737320423126221,
-0.13728679716587067,
0.07308818399906158,
-0.001404257956892252,
-0.20404857397079468,
-0.15103545784950256,
-0.148007333278656,
0.58297240734... |
Teacher:In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Teacher: Now, understand the problem? Solve this instance: آیا دانشکده مهندسی NYU Tandon یک مدرسه خوب ب... | not-paraphrase | 6 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.4467976093292236,
0.5839561223983765,
0.1338861882686615,
-0.8120304346084595,
-0.35629546642303467,
0.11327308416366577,
1.1854634284973145,
0.7603656053543091,
0.8736426830291748,
-0.09101802110671997,
-0.5389900207519531,
0.011163424700498581,
-0.5831961631774902,
0.32919996976852417... |
Q: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Context: Sydney was the last one to leave the big party, so Kendall ... | Yes | 7 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.44903630018234253,
0.38148218393325806,
0.750963568687439,
-0.44103777408599854,
-0.35878321528434753,
-0.6908475160598755,
0.3497655987739563,
0.5182234048843384,
0.17051240801811218,
0.46089795231819153,
0.5206283330917358,
0.10994039475917816,
-0.2323954850435257,
-0.156377911567688,... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
question:
世紀をまたいでようやく、 90 ％ 以上の子供が１歳以上生きるようになったのです。
answer:
Fu solo al volgere del XX secolo che il 90% dei bambini riuscirono a sopravvivere al primo anno.
question:
これは私達がいつも目にしている干ばつ死病気の写真ですが
answer:
L'i... | Tutti i bambini prima o poi diventano consapevoli della morte.
| 9 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.20570680499076843,
0.35071858763694763,
-0.41949930787086487,
-0.22114688158035278,
-0.6361814737319946,
-0.32665562629699707,
-0.05562658607959747,
1.0081548690795898,
-0.3055228590965271,
-0.3643563389778137,
-0.15206989645957947,
0.5353620052337646,
-0.9149993658065796,
0.96991443634... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Yes | 6 | NIv2 | task353_casino_classification_negotiation_elicit_pref | fs_opt | [
-0.4795915186405182,
-0.08012867718935013,
-0.07763919234275818,
-0.018088448792696,
-0.4762253165245056,
-0.6201547980308533,
0.4895659387111664,
0.10220227390527725,
-0.20369118452072144,
0.09868891537189484,
0.36582082509994507,
-0.35159939527511597,
-0.900486171245575,
0.24971747398376... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And now, though thou wouldest needs be gone, because thou sore longedst after thy father's house, yet wherefore hast thou stolen my gods? | و اما نزدهرکه خدایانت را بیابی، او زنده نماند. در حضوربرادران ما، آنچه از اموال تو نزد ما باشد، مشخص کن و برای خود بگیر.» زیرا یعقوب ندانست که راحیل آنها را دزدیده است. | 0 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.6611729860305786,
1.301470160484314,
-0.8663394451141357,
0.17786285281181335,
-0.5214166045188904,
-0.5346721410751343,
-0.3780730664730072,
0.6623002290725708,
0.19154588878154755,
-0.1083691343665123,
-0.18308988213539124,
0.6520586013793945,
-1.2827938795089722,
-0.3406340181827545,... |
Instructions: Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only parti... | తెలుపబడిన ప్రోక్సీ అమరికలలో వొకటి లేదా యెక్కువ అమరికలు చెల్లనవి. సరికాని ప్రవేశములు వుద్దీపనం చేయబడినాయి. | 3 | NIv2 | task878_kde4_translation | zs_opt | [
-0.29909539222717285,
0.4296075403690338,
0.636059045791626,
0.3437485694885254,
0.47510915994644165,
-0.9365032911300659,
0.5720160007476807,
0.1419561356306076,
-0.1643964797258377,
-0.394281804561615,
-0.7176000475883484,
0.05386212840676308,
-0.8030937910079956,
0.1449667364358902,
-... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Example: English sentence: How is this possible
Output: Olee kwere omume?
The Igbo translation means the same as ... | Na n'echiche a, ndị kwere ekwe n'ime Jizọs bụ mgbe naanị. | 1 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.10547175258398056,
0.8476059436798096,
0.05630932003259659,
0.2595423460006714,
0.33377623558044434,
-0.967727780342102,
0.5814687013626099,
0.36911720037460327,
-0.054698679596185684,
-0.2527230978012085,
-0.2774922847747803,
0.3662055730819702,
-0.12628141045570374,
-0.272346645593643... |
TASK DEFINITION: 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 information of which term you can answer the question. Indicat... | b
| 8 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.9953859448432922,
0.7081263065338135,
-0.5922584533691406,
-0.16314883530139923,
0.6812006235122681,
0.6287480592727661,
1.146369218826294,
0.292161762714386,
0.31185513734817505,
0.5192369222640991,
-0.09993332624435425,
0.8322491645812988,
-0.9232196807861328,
0.15697619318962097,
-0... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Example Input: SECTION 1. SHORT TITLE.
This Act may be cited as the ``National Breast and Cervical Cancer
Early Detection Program Reauthorization Act of 2006''.
SEC. 2. NATIONAL BR... | Directs the Secretary of State, when considering foreign military sales to Taiwan, to take into account Taiwan's special status (including its defense needs in response to the military modernization and weapons procurement efforts by China) and make every effort to ensure it has full and timely access to price and avai... | 3 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.20867840945720673,
0.1261051595211029,
-0.4999344050884247,
-0.5276875495910645,
1.144967794418335,
-0.13745859265327454,
0.9998353719711304,
1.4193205833435059,
-0.07739764451980591,
0.20503228902816772,
-0.30795472860336304,
0.18614482879638672,
0.2486732304096222,
-0.22243264317512512... |
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