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 |
|---|---|---|---|---|---|---|
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | RANDOM | 4 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.13026410341262817,
0.3636237382888794,
-0.18631501495838165,
-0.20073027908802032,
-0.6713387370109558,
0.151468425989151,
0.423343300819397,
0.6038351058959961,
0.4532034397125244,
-0.3952760100364685,
-0.9111365675926208,
0.03300943598151207,
-0.405630886554718,
0.03948264569044113,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Owszem, są cholernie sfrustrowani, ale zamiast narzekać, próbują coś robić.
Output: | Sono frustrati da morire, ma non si lamentano e sistemano le cose. | 1 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.6190129518508911,
0.9754096865653992,
-0.24918362498283386,
-0.13620154559612274,
-0.43370717763900757,
-0.12521591782569885,
0.9213181734085083,
0.3206137418746948,
0.18070106208324432,
-0.1560458540916443,
-0.5952168703079224,
-0.0657745748758316,
0.06197618693113327,
0.05365201085805... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [969, 323, -696, 99] | 4 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.2083871364593506,
-0.10218331962823868,
-0.15913844108581543,
-0.5059501528739929,
-0.2955225706100464,
0.8067201375961304,
0.7395540475845337,
-0.025824829936027527,
-0.773134708404541,
0.28513726592063904,
-0.6320846080780029,
-0.08225760608911514,
-0.11049062013626099,
0.086238592863... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: これは規制だけでなく現在の科学的根拠に基づいた医療において実現させるのに必要な資金の額や大規模な臨床試験などが問題になるからです
Output: | E não é apenas por causa da regulamentação; é pela quantidade de dinheiro necessária sob a atual medicina baseada na evidência e os tamanhos dos ensaios clínicos e por aí fora, para que aconteça. | 2 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.10662475228309631,
-0.037372030317783356,
-0.25751715898513794,
-0.6914430260658264,
-0.5978363752365112,
0.05133878439664841,
-0.3952673375606537,
0.5239287614822388,
0.6058588027954102,
-0.5825694799423218,
-1.0022519826889038,
0.4357651174068451,
-0.02662688121199608,
0.1930821537971... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | Solution: green_pantry | 5 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.3260679841041565,
-0.6644415855407715,
0.0231303907930851,
0.14892920851707458,
-0.34109073877334595,
-0.6339899301528931,
0.03844590485095978,
0.6528503894805908,
0.1803770512342453,
0.1122138723731041,
0.132097989320755,
0.31307244300842285,
-0.15878579020500183,
0.1889137476682663,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
One example is below.
Q: מה מייחד את המוח האנושי?
A: 人の脳の何がそんなに特別なのでしょうか ？
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: הוא אמר לי שהתלמיד שלו קינונג שו והוא עצ... | デーブは彼の学生であるケノン・シューと一緒に驚くべき性質を持ったイネの古代品種を研究していると話してくれました | 9 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.4421537220478058,
0.5935224890708923,
0.2507896423339844,
-0.42955467104911804,
-0.7356602549552917,
-0.2273818701505661,
0.9166996479034424,
-0.6286936402320862,
0.6959933042526245,
-0.9396087527275085,
-0.9998073577880859,
0.04701072350144386,
-0.8689442873001099,
0.9264451265335083,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
[Q]: כפי שניתן לראות מהתמונות, השטח יכול לשמש למטרות רבות כולל אדמה חקלאית, יערות או שטחים פתוחים.
[A]: ويمكنكم أن تروا من هذه الصور ، أن المساحة البينية يمكن إستخدامها لأغراض متعددة وضمنها الأراضي الزراعية ، المراعي أو الفضا... | عدد لا منته من القرود لا يمكنه أبدا أن يكتب أعمال شكسبير.
| 5 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.7796707153320312,
0.47624471783638,
-0.3038768768310547,
-0.663299560546875,
-0.8695803880691528,
-0.39872100949287415,
0.5212829113006592,
-0.13509400188922882,
0.2548706829547882,
-0.5357503890991211,
-0.7242271304130554,
0.14874915778636932,
-0.6438347101211548,
0.10426968336105347,
... |
You will be given a definition of a task first, then some input of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
ఉభయ పక్షాలలో ఏదైనా పక్షం ఈ ఒప్పందాన్ని రద్దు చేసుకోవాలనే అభిమతాన్ని అవత... | સમજૂતીકરાર પ્રથમ પાંચ વર્ષ માટે માન્ય રહેશે અને જ્યાં સુધી બેમાંથી એક પક્ષ તેને સમાપ્ત કરવાની ઇચ્છા ન જાહેર કરે, ત્યાં સુધી આગામી પાંચ વર્ષ માટે આપમેળે રિન્યૂ થશે. | 1 | NIv2 | task1014_pib_translation_telugu_gujarati | zs_opt | [
0.05373048782348633,
0.8596091270446777,
0.3669435977935791,
0.0978669673204422,
0.9591066837310791,
-0.9774429798126221,
-0.33221668004989624,
0.1476895809173584,
0.004982387647032738,
0.1565050482749939,
-0.16497378051280975,
-0.890282154083252,
-0.34958168864250183,
-0.10489849746227264... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Teac... | 1, 2, 3 | 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.4901249408721924,
0.12806221842765808,
0.19875554740428925,
-1.0019843578338623,
0.8093909621238708,
-0.36364006996154785,
0.886450469493866,
0.4967072904109955,
-0.12306780368089676,
0.04827646166086197,
-0.1725178211927414,
-0.09716856479644775,
0.031187696382403374,
-0.904736042022705... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
--------
Question: Title: Fast Runner. Sentence 1: Andy loved watching the Olympic track events. Sentence 2: Andy w... | It was a great day for Bob!
| 7 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
0.35726219415664673,
-0.4025218188762665,
-0.5714154243469238,
-0.34900546073913574,
0.3500744700431824,
-0.583147406578064,
0.32408300042152405,
0.6005986928939819,
0.005844921804964542,
-0.4007512331008911,
-1.115594506263733,
0.7043974995613098,
-0.4660719037055969,
0.5882049798965454,
... |
Given the task definition and input, reply with output. In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".... | False | 5 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.5287555456161499,
0.45683252811431885,
-0.34497636556625366,
0.45401400327682495,
-0.4257371127605438,
-0.5130501985549927,
0.9014754295349121,
0.38351720571517944,
0.5307826399803162,
0.46609294414520264,
-1.0859763622283936,
0.46705296635627747,
-0.2574860453605652,
0.8201586008071899... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | Output: None
| 2 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.018966734409332275,
0.4131131172180176,
-0.061160240322351456,
-0.444064736366272,
-0.25819385051727295,
0.6160799264907837,
0.1698012799024582,
0.00693129887804389,
0.1786319762468338,
-0.836318850517273,
-0.627108097076416,
0.787538468837738,
-0.21433201432228088,
-0.1765362024307251,
... |
Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Alex started going to church a years ago, he witnessed to his family and led them to Christ.
Answer: Hap... | How would Others feel as a result? | 3 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.1553909182548523,
0.9537354707717896,
-0.5685920119285583,
-0.45121878385543823,
-0.7128944993019104,
-0.5279603004455566,
0.42281201481819153,
0.030346451327204704,
0.6723682880401611,
0.03412967547774315,
-0.012172119691967964,
0.118648961186409,
-0.3550199866294861,
0.064914032816886... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences ... | 52 | 6 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4284175634384155,
0.3105292022228241,
-0.048919446766376495,
-0.8576775789260864,
-0.29878929257392883,
-0.6319879293441772,
0.15203842520713806,
0.6444163918495178,
0.026643943041563034,
-0.34840869903564453,
-0.6080513000488281,
-0.4350874722003937,
-0.8601270914077759,
-0.42272934317... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the for... | Tom's mother looks at homes while driving around >Causes/Enables> Tom joins his mother while she drives around | 1 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.09407388418912888,
0.37263137102127075,
0.32748156785964966,
0.0696035698056221,
-0.26000335812568665,
-0.3537375330924988,
0.3715222477912903,
1.053229808807373,
0.11160922050476074,
0.43773770332336426,
-0.6576359272003174,
-0.03826059401035309,
-0.10276500880718231,
-0.51207733154296... |
Definition: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should b... | Hateful | 2 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.44621542096138,
-0.23179885745048523,
0.1823493242263794,
0.6033943295478821,
0.11005164682865143,
-0.6241282224655151,
0.27068305015563965,
1.2240936756134033,
0.22309747338294983,
0.22787675261497498,
-0.18619579076766968,
0.059919584542512894,
-0.20778796076774597,
-0.721715807914733... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | apparel
| 6 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.7259383797645569,
0.3184911012649536,
-0.4419192671775818,
0.028921937569975853,
0.37167465686798096,
0.686010479927063,
0.19559483230113983,
1.2490187883377075,
-0.06802564859390259,
0.9637141227722168,
0.028223078697919846,
0.41243141889572144,
-0.28525662422180176,
-0.485805124044418... |
Given the task definition and input, reply with output. Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be c... | Name one kind of a protein that some viruses have inside their phospholid envelope? | 5 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.15196987986564636,
1.0564793348312378,
0.23675082623958588,
0.0994068905711174,
-0.7945653200149536,
-0.18661317229270935,
0.6547556519508362,
0.6443725824356079,
0.37815412878990173,
-0.6199603080749512,
-1.411218523979187,
0.2902849018573761,
-0.39726966619491577,
0.21322984993457794,
... |
Q: You are given a statement written in Oriya. 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 .
Statement: ବଚେନ୍ଦ୍ରୀ ପାଲଙ୍କ ଜନ୍ମ ବର୍ତ୍ତମାନର <MASK> ରାଜ୍ୟର ଉତ୍ତରକାଶୀ ଜିଲ୍ଲାର ନକୁରୀ ଗାଁରେ ୧୯୫୪ ମସିହାରେ ହେଇଥିଲା । କ୍... | ଉତ୍ତରାଖଣ୍ଡ | 7 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | zs_opt | [
-0.2319316565990448,
1.2070178985595703,
-0.16235581040382385,
-0.24776890873908997,
-0.41693753004074097,
-0.2691431939601898,
-0.11164825409650803,
0.7517315745353699,
0.46963679790496826,
-0.12230494618415833,
-0.6442255973815918,
-0.4714658856391907,
0.08856887370347977,
-0.35092657804... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Q: Abstract: In a phase II multicenter trial, 71 patients with advanced measurable gastric cancer were registered to receive sequential high-dose methotrexate (MTX) and 5-fluorouracil (5-FU) combined with Adriamy... | An EORTC Gastrointestinal Group evaluation of the combination of sequential methotrexate and 5-fluorouracil, combined with adriamycin in advanced measurable gastric cancer. | 4 | NIv2 | task619_ohsumed_abstract_title_generation | zs_opt | [
0.6306414008140564,
0.24756665527820587,
0.14947068691253662,
-0.6710103750228882,
0.18011991679668427,
-0.08482754230499268,
0.05042462795972824,
0.7580719590187073,
0.17168575525283813,
0.24086993932724,
-0.5248622894287109,
-0.1800469309091568,
-0.7602935433387756,
0.32949352264404297,
... |
You will be given a definition of a task first, then some input of the task.
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... | foreign-policy | 1 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.0390821173787117,
0.8738510608673096,
-0.41487550735473633,
0.27215781807899475,
-0.27915823459625244,
-0.4933352470397949,
0.5311356782913208,
0.6173264980316162,
0.44892042875289917,
0.16971629858016968,
-0.3905711770057678,
0.16950710117816925,
-0.06896597892045975,
0.2455382645130157... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | Even though he didn't want to give some of it back, the driver reluctantly moved away. | 6 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.45913946628570557,
-0.10781842470169067,
0.469223290681839,
0.23961511254310608,
0.2911185026168823,
-0.6775380373001099,
-0.8063448667526245,
0.4307378828525543,
0.0974385142326355,
-0.26714473962783813,
-0.21807721257209778,
-0.5067139863967896,
-0.24582496285438538,
-0.12689033150672... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Input: Consider Input: Event:PersonX runs for class presi... | Output: panicked
| 2 | NIv2 | task924_event2mind_word_generation | fs_opt | [
-0.0904037281870842,
0.19405555725097656,
0.019668305292725563,
-0.33941346406936646,
-0.6400080919265747,
-0.4576861560344696,
1.1230072975158691,
-0.04205406457185745,
0.2327861785888672,
-0.5715782642364502,
0.30771926045417786,
0.08105557411909103,
-0.3150487542152405,
0.19450381398200... |
Detailed Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Q: ফালতু সেবা কি কখনো। তারা আমাকে অর্ধ ঘন্টার জন্য অপেক্ষা রাখতে আমাকে বলেছিল তারা রাখতে পারবো না। মোট আবর্জনা
A: | negative | 9 | NIv2 | task1496_bengali_reviews_sentiment_classification | zs_opt | [
-0.8077117204666138,
0.04679924622178078,
0.5068714618682861,
-0.338645875453949,
0.17385464906692505,
-0.16774263978004456,
0.3348991870880127,
0.45366179943084717,
-0.07766921073198318,
0.1516573131084442,
-0.23850271105766296,
-0.3560137152671814,
0.11384637653827667,
-0.062324963510036... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | They wanted to do something nice for people . | 0 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.1740669310092926,
0.9196977615356445,
0.4674067795276642,
0.030969694256782532,
-0.12632006406784058,
0.2803066372871399,
0.38970860838890076,
0.05148737132549286,
-0.7604820728302002,
-0.3577854037284851,
-0.05381143093109131,
0.2990088164806366,
-0.05276722460985184,
0.058370575308799... |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being tr... | If you click to program a computer then you should stick on the process . | 2 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.19104021787643433,
0.614088773727417,
-0.1789311170578003,
-0.0642559751868248,
-0.13202378153800964,
-0.4815969169139862,
0.31906649470329285,
0.6337194442749023,
0.6188654899597168,
-0.3735651671886444,
-1.148125410079956,
-0.22971276938915253,
-0.7138292789459229,
0.5011037588119507,... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
--------
Question: I'm real glad everything worked out.
Answer: أنا سعيد حقيقية عملت كل شيء.
Question: How 'bout eight... eight bucks?
Answer: ماذا عن 8 8؟
Question: The tuition money
Answer: | المال الخاص بالتدريس
| 7 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.24443745613098145,
0.12236342579126358,
-0.22488702833652496,
-0.8328332304954529,
-0.47163549065589905,
0.09674632549285889,
0.46882081031799316,
0.13580504059791565,
0.17475949227809906,
-0.3774877190589905,
-0.10217060893774033,
-0.16350220143795013,
-0.537781834602356,
-0.38498458266... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Sentence1: Tim and Gina both h... | Tim did the dishes for Gina to be kind. | 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.4057360291481018,
1.2587426900863647,
0.32471340894699097,
-0.9050945043563843,
-0.01220117136836052,
-0.35188937187194824,
-0.19361275434494019,
0.274099200963974,
0.0030215561855584383,
0.2788030207157135,
-0.3362056314945221,
0.13158965110778809,
0.056097611784935,
-0.319374620914459... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 34644667 | 6 | NIv2 | task1443_string_to_number | fs_opt | [
-0.6667501926422119,
1.3388832807540894,
-0.6788262724876404,
-1.1990747451782227,
-0.5101889371871948,
-0.12586161494255066,
1.1133595705032349,
0.1036723256111145,
0.0037074536085128784,
-0.30900710821151733,
-0.8005564212799072,
0.38093245029449463,
-1.2400972843170166,
-0.1896282285451... |
Teacher: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? If you are still confused, see the following example:
This is my... | NEGATIVE | 2 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.14370793104171753,
-0.31327590346336365,
-0.3204992413520813,
-0.39085596799850464,
0.5099475383758545,
-0.46570885181427,
0.5766218900680542,
1.289539098739624,
-0.2276087999343872,
0.030353695154190063,
0.6550291180610657,
0.5793414115905762,
-0.9382263422012329,
-0.03638207167387009,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand ... | The room. | 1 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.17369626462459564,
0.5881086587905884,
-0.45459794998168945,
0.1318742334842682,
0.2638849914073944,
0.04241403564810753,
-0.22224608063697815,
0.2966931462287903,
0.3188677430152893,
0.04178532958030701,
-0.7782332301139832,
0.08920548856258392,
0.30570515990257263,
-0.35628965497016907... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) deliberately showing to my friend's girlfriend that he is still smoking though he's been lying ... | B | 4 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.16575348377227783,
0.8182656168937683,
0.42826056480407715,
-0.608277440071106,
-0.3302677273750305,
-0.400357186794281,
0.21326521039009094,
0.5954991579055786,
-0.16560807824134827,
0.6524022817611694,
-0.760045051574707,
-0.12414836138486862,
0.16137680411338806,
-0.5159907341003418,... |
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.
Example input: 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 بھیجاجائے گا۔درخوا... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਮਹਾਰਾਸ਼ਟਰ ‘ਚ ਬੱਸ ਦੁਰਘਟਨਾ ਕਾਰਨ ਹੋਏ ਜਾਨੀ ਨੁਕਸਾਨ ‘ਤੇ ਸੋਗ ਪ੍ਰਗਟਾਇਆ ਹੈ | 3 | NIv2 | task1052_pib_translation_urdu_punjabi | fs_opt | [
-0.21058502793312073,
0.3683170974254608,
0.33142954111099243,
0.03689281642436981,
0.15942691266536713,
-0.6386271715164185,
0.8196691870689392,
0.26041388511657715,
-0.7696669101715088,
-0.01888740062713623,
-0.30467548966407776,
0.12004609405994415,
0.5833006501197815,
0.604663729667663... |
Given the task definition, example input & output, solve the new input case.
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Example: what kind of film is Best Seller?
Output: crime
The an... | famous | 1 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.8816767334938049,
-0.20992738008499146,
-0.8436092734336853,
1.095290184020996,
-0.09988472610712051,
1.0211844444274902,
0.2873169779777527,
0.19428622722625732,
-0.06928053498268127,
-0.2048950046300888,
-0.5374327301979065,
0.19390742480754852,
-0.17377212643623352,
-0.22112028300762... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Consider Input: Lo que en realidad cuenta es cuando usamos realmente nuestros números para tener en cuenta verdaderamente a nuestra gente.
Output: O que realmente conta é quando usamos os nossos números para real... | Output: O que isto me diz é que, numa época em que há mais, em que há uma maior abundância de informação do que nunca, difícil de filtrar, nós temos ferramentas melhores.
| 2 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.03536105155944824,
0.8955018520355225,
-0.5250861048698425,
0.14040818810462952,
-0.7363020181655884,
-1.1363470554351807,
-0.4375719428062439,
1.1763360500335693,
0.7420855760574341,
0.11604706943035126,
-0.2225857973098755,
0.47355473041534424,
-0.8943437337875366,
-0.2638010382652282... |
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.
Example input: Maria has 3 boxes of eggs . Each box holds 7 eggs and there are 8 boxes ... | 3 | 3 | NIv2 | task866_mawps_multidiv_question_answering | fs_opt | [
-0.05408455431461334,
0.3388093411922455,
-0.1759035736322403,
-0.5688886046409607,
-0.7504671216011047,
-0.07929018139839172,
0.6392861604690552,
0.6328017711639404,
-0.19124706089496613,
-0.34117281436920166,
-0.47396013140678406,
0.4038090705871582,
0.15841975808143616,
-0.0884179770946... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
One example: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Solution is here: He who created pairs of everything, and fashioned for you boats and beasts o... | The day their faces would be turned on the fire (as on a spit), they will say: "Alas! If only we had obeyed God, and obeyed the Prophet." | 6 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.5012240409851074,
0.5334911346435547,
-0.3153333365917206,
-0.24337083101272583,
-0.34040606021881104,
-0.3941538333892822,
0.8961825966835022,
0.20082589983940125,
-0.47474172711372375,
-0.07212379574775696,
-0.9241724014282227,
0.7881165146827698,
-0.47647348046302795,
0.4960031509399... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
--------
Question: This is what they recommend at Oxford as introductory textbooks to students starting a Masters' in Linguistics.
Answer: Asta este ce se recomandă la Oxford drept ... | A refuzat să spună ce procent din zborurile interne avea ofițeri de securitate la bord.
| 7 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.749922513961792,
0.5209777355194092,
-0.5839857459068298,
-1.6354889869689941,
-0.063044473528862,
-0.4724152982234955,
1.11294424533844,
0.35941600799560547,
1.2212295532226562,
-0.16844137012958527,
-0.12917116284370422,
-0.030959047377109528,
-0.6573405265808105,
-0.1418236345052719,... |
In this task, you are given a paragraph, and your task is to construct a question from the given passage. Construct question in such a way that (i) it is well explained in the paragraph, (ii) the words may/may not be present in the paragraph, (iii) it should start with what/how/describe. Avoid creating a question that ... | Describe how meteorites create craters on a planet.
| 7 | NIv2 | task1567_propara_question_generation | fs_opt | [
0.25477567315101624,
1.1535096168518066,
-0.4054630398750305,
0.07913777977228165,
0.019799349829554558,
-0.36692753434181213,
0.29837411642074585,
1.035874605178833,
-0.7908898591995239,
0.43141305446624756,
-1.0152127742767334,
-0.04178774729371071,
-0.8631787300109863,
0.115978151559829... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Q: PersonX takes part in the expedition
A: | accomplished. | 4 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.430800199508667,
0.4771454334259033,
-0.17862924933433533,
-0.9118226766586304,
-0.7555874586105347,
-0.6773548126220703,
1.4855449199676514,
0.45796316862106323,
0.18605820834636688,
-1.0313217639923096,
0.03060442954301834,
-0.11115335673093796,
-0.5587581992149353,
0.2715358436107635... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Example Input: The proposal adopted by the Commission last July is the outcome of a thorough process of consultation. It started before the financial crisis.
Example Output: Предло... | С какви думи да приветстваме това събитие?
| 3 | NIv2 | task272_europarl_translation | fs_opt | [
-0.09969459474086761,
1.0662562847137451,
-0.0799451619386673,
-0.12734702229499817,
0.282528281211853,
-0.7276515364646912,
0.8044893145561218,
0.9394785165786743,
-0.026468953117728233,
0.08293578773736954,
0.4123963713645935,
0.9956046342849731,
-0.17997024953365326,
0.37908482551574707... |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
... | PRT | 7 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.5757395029067993,
0.2905743420124054,
-0.1413559913635254,
0.2599461078643799,
-0.08412139117717743,
-1.192692518234253,
0.6973101496696472,
0.6890069246292114,
-0.2266521155834198,
-0.021777329966425896,
-0.5465389490127563,
0.21118032932281494,
-0.9355979561805725,
0.2902313470840454,
... |
In this task, you are given a piece of an article. Your task is to generate a short summary of the text. Try to give the summary in just one sentence.
Q: Lake Tahoe is back in the spotlight as hundreds gather on its eastern shore for an annual environmental summit.
A: | An Indian tanker seized by Iran has been allowed to leave. | 4 | NIv2 | task1355_sent_comp_summarization | zs_opt | [
0.2964979410171509,
0.23809611797332764,
-0.36448174715042114,
-0.31738507747650146,
-0.3528008460998535,
-1.4248723983764648,
-0.1937772035598755,
-0.13586576282978058,
-0.718357503414154,
0.3918384909629822,
0.5734424591064453,
-0.20763610303401947,
-0.4303456246852875,
-0.02370616421103... |
Detailed Instructions: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: 撮影班の4人のメンバーが日曜の夜、「宇宙戦争」のロンドンプレミア公演で映画スターのトム・クルーズ... | Four members of a filmcrew have been arrested on suspicion of assault after squirting water at movie star Tom Cruise at the London premiere of the War of the Worlds on Sunday evening. | 9 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.477672278881073,
1.4081432819366455,
0.48465394973754883,
-0.5717295408248901,
0.1442999392747879,
-0.7181540727615356,
-0.10672169923782349,
-0.02764630690217018,
-0.08449377864599228,
-0.1326497197151184,
0.3671569228172302,
-0.1129944920539856,
-0.44841158390045166,
-0.218045860528945... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return pair of knee pads
#2 return #1 that are black
#3 return number of #2
#4 return If #3 is equal to one
| 7 | NIv2 | task176_break_decompose_questions | fs_opt | [
1.0827581882476807,
0.08553402125835419,
-0.6838898658752441,
0.3863353729248047,
0.442594051361084,
-0.1885482370853424,
1.0284916162490845,
0.44175636768341064,
0.061337538063526154,
0.3724871575832367,
-0.7778634428977966,
0.07472127676010132,
-0.2607554793357849,
0.38083866238594055,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Example: Sox - 4 is important for very early B - cell differenti... | monoamine oxidase | 1 | NIv2 | task1482_gene_extraction_chemprot_dataset | fs_opt | [
-0.20064537227153778,
0.7132405042648315,
-0.6415894627571106,
-0.2727491557598114,
0.1645526885986328,
-0.5963631868362427,
0.06338012218475342,
0.9027331471443176,
0.5093075037002563,
-0.6367385983467102,
-0.46868905425071716,
-0.05796082690358162,
-0.35799640417099,
-0.5743315815925598,... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: زمانی که خاک خشک می شود ، زمانی که شما در فصل گرما هستید ، زمین ترک می خورد ، اکسیژن وارد زمین میشود ، شعله ها به بیرون می آیند و مشکلات دوباره شروع می شوند.
A: | E quando il suolo si secca, nella stagione arida, si aprono delle crepe, entra l'ossigeno ed escono fiamme, e il problema si ripresenta. | 9 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.3251838982105255,
1.0490881204605103,
-1.2965642213821411,
-0.11524829268455505,
-1.4064357280731201,
-1.1839728355407715,
0.7430647611618042,
0.7744398713111877,
-0.3383544087409973,
-0.1943908929824829,
-0.5684709548950195,
-0.17143109440803528,
-0.06810255348682404,
0.554547011852264... |
Q: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is use... | NUM | 7 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.261128693819046,
0.05227204039692879,
-0.1487365961074829,
0.13152965903282166,
-0.07416914403438568,
-0.7253707051277161,
0.5606694221496582,
0.7354831695556641,
-0.10359392315149307,
-0.034696727991104126,
-0.5803413391113281,
0.4734800457954407,
-0.7160084247589111,
0.3122926056385040... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Problem:These will benefit our relations by providing them with strength, speed and progress.
Solution: | यामुळे आपल्यातील संबंध अधिक दृढ आणि गतिमान होतील, तसेच त्यांना प्रगतीचे लाभ प्राप्त होतील. | 8 | NIv2 | task1085_pib_translation_english_marathi | zs_opt | [
0.665247917175293,
1.2001757621765137,
0.09936901181936264,
-0.10308350622653961,
-0.429695188999176,
-1.045386552810669,
0.8199335336685181,
0.4272632598876953,
0.048345305025577545,
-0.41208580136299133,
-1.0264551639556885,
0.07175499200820923,
-1.1729669570922852,
0.2704797089099884,
... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Problem:Title: Cracked. Sentence 1: ... | Now everyone thinks Brian is the best at Battleship. | 8 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.08084727823734283,
0.48922786116600037,
0.4657537341117859,
-0.26328006386756897,
-0.31707221269607544,
0.09270670264959335,
0.41914254426956177,
0.21040990948677063,
-0.20729103684425354,
-0.07413893938064575,
-0.3767847716808319,
0.17954608798027039,
-0.604736328125,
0.535423099994659... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
837 + 118 + 1503 - 3288 + 6669 - 1394 | -2771 | 0 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.6108052730560303,
0.28788524866104126,
-1.0427913665771484,
-0.2160203754901886,
-0.14443334937095642,
0.3477456569671631,
1.0653495788574219,
1.0012210607528687,
0.10709165036678314,
-0.588848352432251,
-0.7934912443161011,
-0.34661775827407837,
-0.3915519118309021,
0.11221049726009369... |
instruction:
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer... | during a performance
| 9 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.5205408930778503,
0.5273491144180298,
-0.9670157432556152,
0.4539416432380676,
-0.22894595563411713,
-0.916107177734375,
1.3396528959274292,
0.5860599279403687,
-0.10970528423786163,
0.3018378019332886,
-0.6509517431259155,
-0.25874626636505127,
-0.554482102394104,
0.01616809330880642,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
11歳のときスリランカ軍に尋問されテロリストであると告訴されました両親は彼を単身イギリスに送りました政治的保護を求める難民として | Con 11 anos o Exército de Sri Lanka interrogouno, acusándoo de terrorismo, e os seus pais enviárono a Gran Bretaña como refuxiado en busca de asilo político. | 0 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.014132063835859299,
0.5072439908981323,
-0.18741793930530548,
-1.2303439378738403,
-0.3407026529312134,
-1.3582632541656494,
0.24321691691875458,
-0.43895217776298523,
-0.7324490547180176,
-0.1718316674232483,
0.131490096449852,
0.14368820190429688,
-1.2902661561965942,
-0.45050907135009... |
Detailed Instructions: Given a sentence in Hindi, generate a new Hindi 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 ... | अगर आप एक कहानी देखना चाहते हैं तो आपको फिल्मों से भाग जाना चाहिए । | 8 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.5420207381248474,
0.436637282371521,
0.32236528396606445,
0.3942359685897827,
-0.28470125794410706,
-0.5624216794967651,
0.3050243854522705,
0.6064791679382324,
-0.42643553018569946,
-0.7453130483627319,
-0.6714168787002563,
-0.4728795289993286,
-0.02183222398161888,
0.4669988751411438,... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words o... | after they are cooked | 4 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.8783320784568787,
0.2669179439544678,
-0.49275651574134827,
1.0901811122894287,
-0.6515251398086548,
-0.2884911596775055,
0.653016209602356,
1.278223991394043,
-0.32195934653282166,
-0.17381168901920319,
-0.3180074691772461,
0.2084808200597763,
-0.14931859076023102,
0.23703095316886902,
... |
You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you need to find the value of the variable using equations and relationships. You ar... | E | 9 | NIv2 | task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation | fs_opt | [
-0.009254306554794312,
-0.1774577796459198,
-0.6031343340873718,
-0.2368067055940628,
0.004111131187528372,
-0.21166828274726868,
0.7844986915588379,
0.89593905210495,
0.3488474488258362,
-0.10766454041004181,
-1.0291264057159424,
0.4193550646305084,
0.23158720135688782,
-0.339452207088470... |
Teacher:In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem?... | Answer: 1996 | 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.909244179725647,
0.9305079579353333,
0.183322936296463,
-0.34508800506591797,
-0.4022757411003113,
-0.24926118552684784,
0.030449312180280685,
0.3047531247138977,
-0.17335271835327148,
-0.034918032586574554,
0.7167376279830933,
0.6416224241256714,
-0.9294459819793701,
-0.240858241915702... |
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 numerical elements in the given list. Return 0 if no numerical element in the list.
--------
Question: ['N', 'q', 'Z', '3281', '5473', 'Y', '7995', 'L', '7077', 'e', ... | 11
| 7 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.07297870516777039,
0.11520706117153168,
-0.38717544078826904,
-0.2740720510482788,
-0.28273534774780273,
-0.5893910527229309,
0.7792491912841797,
0.3204658627510071,
-0.7446740865707397,
0.527355432510376,
-0.47229158878326416,
0.4876638650894165,
-0.34138569235801697,
0.183926954865455... |
Definition: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Input: ['x', '1305', '4045', 'f', '9457']
Output: | f, x | 2 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.3177340626716614,
0.15334129333496094,
-0.29883432388305664,
0.01972869783639908,
0.6421689987182617,
0.4856845736503601,
0.9843193292617798,
0.013620574027299881,
-0.046966128051280975,
0.1833508163690567,
-0.6285948753356934,
-0.5292858481407166,
-0.012735743075609207,
-0.296192973852... |
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | high | 6 | NIv2 | task1712_poki_classification | fs_opt | [
0.5961139798164368,
1.1273159980773926,
0.49007922410964966,
-1.1031708717346191,
-0.2606469988822937,
-1.0449538230895996,
0.46911829710006714,
0.575134813785553,
0.5554676055908203,
-1.0620516538619995,
-0.29998016357421875,
0.35718515515327454,
-0.8928772807121277,
-0.10174822807312012,... |
Definition: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Input: Poco is Xiaomi's
Outp... | Not in Expected Language | 2 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.5287027359008789,
-0.5393144488334656,
0.6178041100502014,
0.8117518424987793,
0.12924355268478394,
-0.8025365471839905,
-0.24520862102508545,
0.5522376894950867,
-0.611125648021698,
0.6749603748321533,
-0.0820838063955307,
0.21250249445438385,
0.08604229241609573,
-0.5958089828491211,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
We design simple and quantifiable testi... | Testing of global translational invariance in Convolutional and Capsule Networks | 1 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.8093401789665222,
0.30502748489379883,
-0.36522865295410156,
-0.17582686245441437,
-0.15002486109733582,
-0.05032840371131897,
0.261385977268219,
0.4080384075641632,
-0.05772579461336136,
0.2859286665916443,
-0.4855630099773407,
-0.1700560301542282,
-0.29411670565605164,
0.2258424162864... |
In this task, you will be shown a conversation and a question. You should categorize the question into matching, summary, logic, arithmetic and, commonsense groups. Matching is a question entailed or paraphrased by exactly one sentence in a dialogue. The answer can be extracted from the same sentence. Questions that ca... | commonsense | 0 | NIv2 | task248_dream_classification | zs_opt | [
-0.12010687589645386,
0.6083788275718689,
-0.04646015912294388,
-0.4150141477584839,
0.16853265464305878,
-0.70731520652771,
0.9962505102157593,
0.383220374584198,
0.17456060647964478,
-0.45355188846588135,
-0.9003598690032959,
0.05090045928955078,
-0.6401772499084473,
0.29875651001930237,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer... | C | 1 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.4334300756454468,
0.6011480093002319,
-0.3137056529521942,
0.37139254808425903,
0.4965234696865082,
0.08865368366241455,
0.5030015110969543,
0.461100310087204,
0.14736291766166687,
0.24467773735523224,
-0.14633984863758087,
-0.5512776374816895,
0.029975267127156258,
-0.6029747724533081,
... |
Given the task definition and input, reply with output. In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
4840 - 5846 - 1511 + 5... | 16294 | 5 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.4505162239074707,
0.15176518261432648,
-0.764256477355957,
0.28445884585380554,
-0.35243117809295654,
0.3257178068161011,
0.8515466451644897,
0.8242153525352478,
0.3735513985157013,
-0.3406844139099121,
-0.7828370332717896,
-0.22159729897975922,
-0.4156038463115692,
0.3745936155319214,
... |
Teacher:Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media... | travel | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.04892812296748161,
0.13190531730651855,
-0.1382943093776703,
-0.1350451558828354,
0.6354964375495911,
-0.45223408937454224,
-0.20140111446380615,
0.6197078227996826,
-0.07552095502614975,
-0.09253738820552826,
0.05854715406894684,
0.2791265845298767,
-0.30194091796875,
-0.18670254945755... |
Definition: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an ... | How is the narrator likely feeling about their ex ? | 2 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
-0.019000321626663208,
0.21016880869865417,
-0.05196206271648407,
0.17695403099060059,
0.21082013845443726,
-0.7611326575279236,
0.03800330311059952,
0.8838472366333008,
-0.0075174844823777676,
0.2198614776134491,
-0.857872486114502,
-0.03248418867588043,
-0.3937230110168457,
0.85457432270... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how w... | weakener | 0 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.04931280016899109,
0.5723111629486084,
-0.17895129323005676,
-0.008641649037599564,
0.014175737276673317,
-0.8585728406906128,
0.9093522429466248,
1.1983722448349,
0.4561951458454132,
-0.5411556363105774,
-0.8362040519714355,
-0.10545097291469574,
-0.3968935012817383,
0.1931369453668594... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: 50 年ほど前私たちの友人である物性物理学者はあのガラス鐘の下にある洗練された機器を発明しましたトランジスタです
A: | Pero nuestros amigos, físicos de la materia condensada, se las ingeniaron para inventar, hace 50 años, un dispositivo muy bueno que aparece bajo la campana de cristal, que es el transistor. | 9 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.0557902455329895,
0.6837102770805359,
-0.016743961721658707,
-0.3109053373336792,
0.40402674674987793,
-1.1630597114562988,
-0.7843180894851685,
0.18869909644126892,
0.5516941547393799,
0.14474958181381226,
0.5220080614089966,
0.3375589847564697,
-0.6386038661003113,
0.46763765811920166... |
Given the task definition, example input & output, solve the new input case.
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... | 1 | 1 | NIv2 | task1583_bless_meronym_classification | fs_opt | [
0.10433721542358398,
0.24855908751487732,
-0.07433396577835083,
0.46807214617729187,
0.229892760515213,
-0.3698703646659851,
0.7963175177574158,
0.9542645215988159,
0.10524725914001465,
-0.13193544745445251,
-0.6818710565567017,
-0.20917141437530518,
-0.10358062386512756,
-0.06217539310455... |
Instructions: The task is to generate the correct answer for a given math problem.
Input: Problem: ravi purchased a refrigerator and a mobile phone for rs . 15000 and rs . 8000 respectively . he sold the refrigerator at a loss of 4 percent and the mobile phone at a profit of 11 percent . overall he make a .
Output: | 28 | 3 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.4086233079433441,
0.3358968496322632,
-0.5417470932006836,
0.40938442945480347,
-0.734734296798706,
0.45204538106918335,
0.49269524216651917,
-0.03764975816011429,
0.38353681564331055,
-0.1508750021457672,
-1.0101172924041748,
0.20020246505737305,
-0.7898712754249573,
0.13437768816947937... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | original network | 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.21219247579574585,
0.4250834584236145,
-0.2392919957637787,
-0.3933955729007721,
-0.1644488275051117,
0.8461875915527344,
-0.13048723340034485,
0.41144809126853943,
0.42831820249557495,
0.19543848931789398,
-0.27368366718292236,
0.03868582099676132,
-0.3269460201263428,
-0.0989784076809... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | Group A.
| 7 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.8238242268562317,
0.39371293783187866,
-0.9296267032623291,
0.16049985587596893,
0.2843131721019745,
-0.5214575529098511,
0.22206497192382812,
0.851171612739563,
0.10757165402173996,
-0.18554425239562988,
-0.4247017502784729,
0.525802731513977,
-0.5128399133682251,
-0.05367323011159897,
... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
--------
Question: Person... | I have not had a frosty since I went vegan. I miss them, though.
| 7 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.21865314245224,
-0.30936717987060547,
-0.22356730699539185,
0.05402487888932228,
-0.4374980926513672,
0.22980496287345886,
0.5327818989753723,
0.23705264925956726,
-0.24338184297084808,
-0.06916172057390213,
-0.20972983539104462,
0.18273770809173584,
-0.20856449007987976,
0.262514114379... |
Teacher: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Teacher: Now, understand the problem? If you are still confus... | Negative | 2 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.014986297115683556,
-0.35736024379730225,
0.37241560220718384,
-0.24502213299274445,
0.4013618230819702,
-0.33064645528793335,
0.4601900577545166,
0.5448517799377441,
0.04924904555082321,
0.587417483329773,
0.1720796823501587,
0.1094137579202652,
0.5913834571838379,
-0.22926920652389526... |
TASK DEFINITION: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
PROBLEM: Comment: Peeing in the park/alley when you t... | Sexual-explicit
| 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.7097635865211487,
0.011479961685836315,
-0.2329210489988327,
0.17531830072402954,
-0.24320469796657562,
0.32782918214797974,
0.4152125120162964,
1.234656810760498,
0.39813360571861267,
0.23427394032478333,
0.3459903597831726,
0.16363343596458435,
-0.20763179659843445,
-0.573038697242736... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Input: Consider Input: Question: What percent of daylight is sc... | Output: 2
| 2 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.44726797938346863,
0.44872674345970154,
-0.2734745740890503,
0.04815777763724327,
-0.2486506700515747,
-0.1817316710948944,
1.3980683088302612,
0.7666466236114502,
-0.8297451734542847,
0.4632691442966461,
-0.5196333527565002,
0.062069062143564224,
-0.5689418315887451,
0.31092625856399536... |
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.
--------... | atmosphere PartOf sky
| 7 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.4979950785636902,
1.2861063480377197,
0.3902249336242676,
-0.9364820718765259,
-0.4268420338630676,
-0.6994891166687012,
0.7519826889038086,
-0.10198365151882172,
0.21430771052837372,
-0.4862668514251709,
-0.4866549074649811,
0.037495315074920654,
-0.8710933923721313,
-0.0181763358414173... |
You will be given a definition of a task first, then some input of the task.
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
माझ्या देशवासियानो, राजस्थान मधल्या माझ्या वीरांनो, तुम्हाला अभिमान वाटेल की म... | بھائیو بہنو ، لیکن ہمیں اس سے بھی آگے جانا ہے۔ راجستھان کو آگے لے جانا ہے۔ راجستھان کے سفر کو ملک کی ترقی میں ایک نئی طاقت دینے والا راجستھان ہے اور وہ یہ کام راجستھان کی سرزمین کو کرکے دکھانا ہے۔ | 1 | NIv2 | task989_pib_translation_marathi_urdu | zs_opt | [
-0.22861479222774506,
0.6943854093551636,
-0.5930666923522949,
-0.07684342563152313,
-0.4205170273780823,
-0.7688442468643188,
1.2571594715118408,
0.3554738461971283,
0.4874933063983917,
0.040574248880147934,
-0.8360376954078674,
0.47304219007492065,
-0.49013063311576843,
-0.20944944024085... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: In fact, I have got qualifications.
Student: | De hecho, sí era apto para algo. | 6 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.20978686213493347,
0.1858677715063095,
0.6233168244361877,
0.03370225802063942,
-0.14368292689323425,
-0.9334906339645386,
0.07199004292488098,
0.9010612368583679,
-0.02923417091369629,
-0.5434274673461914,
-0.19727671146392822,
-0.1349307745695114,
-0.823100209236145,
-0.34127402305603... |
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).
Leading environmental scientist Professor Norman Myers says the Earth is exp... | अग्रणी पर्यावरण वैज्ञानिक प्रोफेसर नॉर्मन मायर्स कहते हैं कि पृथ्वी अपने "छठे विलुप्त होने" का अनुभव कर रही है। | 0 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.6481272578239441,
0.3411487340927124,
0.7096187472343445,
-0.18992239236831665,
-0.31066757440567017,
-1.3154139518737793,
-0.6422739624977112,
0.20342665910720825,
0.2372266799211502,
-0.16565850377082825,
-0.4190482497215271,
-0.15254123508930206,
-0.9042603969573975,
-0.2624560594558... |
TASK DEFINITION: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
PROBLEM: Context: Tecna's bo... | Answer: The International Union for Conservation of Nature
| 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.15014608204364777,
0.23126402497291565,
-0.6977770328521729,
0.3528469204902649,
-0.5628218650817871,
0.40027540922164917,
0.8057451844215393,
0.4804942309856415,
0.06095821410417557,
-0.10010881721973419,
-0.6013507843017578,
0.2642468512058258,
-1.0855214595794678,
0.18655464053153992... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Solutio... | I'm tired of having to do that. | 2 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.3482402265071869,
0.623741090297699,
0.5753623843193054,
-0.4346323311328888,
-0.27272915840148926,
-0.6550322771072388,
0.135183647274971,
1.0925226211547852,
0.2556425929069519,
-0.028082992881536484,
-0.11053923517465591,
0.5846487283706665,
-0.922513484954834,
-0.09748873859643936,
... |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Example Input: He likes to eat water.
(A) He cannot ea... | A
| 3 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
0.371748149394989,
1.0203919410705566,
-0.11652558296918869,
-0.9786521196365356,
0.21952086687088013,
-0.5155306458473206,
0.043209969997406006,
0.5843340158462524,
-0.06120339035987854,
0.27947622537612915,
-0.17624028027057648,
0.0963507816195488,
-0.5944712162017822,
-0.750275254249572... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['7669', '3367', 'A', 'Z', '6173', '4391', 'f', 'S', '9657', '2631']
A: | 33888 | 7 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.0016445035580545664,
0.9308297634124756,
-0.1436176598072052,
-1.3177165985107422,
-0.22485794126987457,
0.17001086473464966,
0.07634825259447098,
-1.1425981521606445,
0.021764405071735382,
-0.19333164393901825,
-0.4983796179294586,
0.5493007898330688,
0.11414280533790588,
-0.34922379255... |
Given the task definition and input, reply with output. In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
If AI becomes more intelligent than man, doesn't that probabilistically mean that there must be creatu... | Anyone ever falsify what you did at a previous job, to get hired at a new one? | 5 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.8805243968963623,
1.0414401292800903,
0.3932441473007202,
-0.23096156120300293,
-0.8615750670433044,
-0.7808321714401245,
-0.004962775856256485,
0.45876288414001465,
0.008006112650036812,
0.19543446600437164,
-0.9298549890518188,
0.037693627178668976,
-0.2736450433731079,
0.459426879882... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Example input: Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percussion store to clas... | attila | 3 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.03516186773777008,
0.3748399019241333,
-0.3310442566871643,
0.08566220104694366,
-0.288388192653656,
-0.6848235130310059,
0.5356390476226807,
-0.23081344366073608,
0.43971967697143555,
-0.12360228598117828,
-0.17282584309577942,
0.44321274757385254,
-0.17212368547916412,
0.2264674901962... |
Teacher:Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the b... | look thrice and walk left | 6 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.33037811517715454,
0.8249483704566956,
-0.496198832988739,
0.13014894723892212,
-0.1991896778345108,
0.4632311463356018,
0.048266828060150146,
0.5936044454574585,
-0.4662036597728729,
-0.4246830344200134,
-0.6547518968582153,
-0.3894539177417755,
-0.698549747467041,
-0.040221475064754486... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 7 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
-0.1411174237728119,
0.4549105763435364,
0.2311137318611145,
0.3917158842086792,
0.24934923648834229,
-0.07125736773014069,
-0.18159149587154388,
1.1410918235778809,
-0.06380276381969452,
-0.02878699079155922,
-0.3750828504562378,
0.01476110890507698,
-0.005032356828451157,
0.0025242310948... |
Q: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill ... | PersonX apologized to PersonY for getting a big food stain on the couch, because _ felt awful about it. | 7 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.4136643409729004,
1.0964535474777222,
-0.25331252813339233,
-0.4809349775314331,
-0.1601475477218628,
-0.10389299690723419,
1.0310128927230835,
0.4545523226261139,
-0.009605901315808296,
-0.6757323741912842,
0.26700901985168457,
-0.05848813056945801,
-0.45087385177612305,
0.4972202777862... |
Part 1. Definition
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Part 2. Example
Text: quick backstory: i am a duel enrollment student (still in high s... | i made a shitty mixtape making fun of memes. now i'm famous around the county and i'm facing consequences for my lyrical content. | 7 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.4820195138454437,
-0.0957385003566742,
-0.21293768286705017,
-0.2638533115386963,
0.19017620384693146,
-0.1871626228094101,
0.6510179042816162,
0.9621162414550781,
0.043190937489271164,
0.06990960240364075,
-0.4128624200820923,
0.18967846035957336,
-0.47585630416870117,
-0.30169951915740... |
Teacher:In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? Solve this instance: I ha... | 5 | 6 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.3926321864128113,
-0.5388182401657104,
0.03915059566497803,
-0.21933472156524658,
0.46279168128967285,
-0.436764121055603,
0.6778335571289062,
1.404773473739624,
-0.2307528853416443,
-0.1044531837105751,
-0.08409810811281204,
0.20168569684028625,
-0.6906896829605103,
0.007976006716489792... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Now, someone beckons her to join her, and she, too, seems suddenly shy, stepping up next to her friend i... | Finally, summoning up a smile, someone standing with the congregation lifts an approving eyebrow. | 1 | NIv2 | task455_swag_context_generation | zs_opt | [
0.07112972438335419,
1.236720323562622,
-0.24179653823375702,
0.04490453749895096,
-0.29373228549957275,
0.17031432688236237,
0.22295427322387695,
0.3194079101085663,
0.8550093173980713,
0.6299803853034973,
-0.5940665006637573,
-0.17372480034828186,
-0.2996336817741394,
-0.2179567813873291... |
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with... | D. | 6 | NIv2 | task043_essential_terms_answering_incomplete_questions | fs_opt | [
0.30579712986946106,
0.46781298518180847,
-0.23541507124900818,
-0.4199123978614807,
0.22205159068107605,
-1.1728259325027466,
0.3923499584197998,
1.2939468622207642,
-0.5437650084495544,
0.2692335844039917,
-0.4325982332229614,
-0.24315997958183289,
-0.5200518369674683,
-0.509595513343811... |
Instructions: You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to ... | algebra | 3 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.07725512981414795,
0.48556506633758545,
0.08027086406946182,
-0.32446473836898804,
0.20223143696784973,
0.18074007332324982,
0.8529801368713379,
0.32754093408584595,
0.3542974889278412,
-0.32662433385849,
-0.5263197422027588,
0.30086588859558105,
-0.18838892877101898,
-0.2388737201690673... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example Input: Comment: And if a police officer ... | Threat
| 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.46175485849380493,
0.8477890491485596,
0.7952581644058228,
0.2704882323741913,
0.12514138221740723,
-0.3311920762062073,
1.1843934059143066,
0.7814364433288574,
0.2794775366783142,
0.35749924182891846,
-0.09757419675588608,
0.24150606989860535,
-0.7670648694038391,
-0.6142494082450867,
... |
Definition: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inv... | Original | 2 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.0846337154507637,
0.7504376769065857,
0.2376345843076706,
0.13575458526611328,
0.16564375162124634,
-0.19494745135307312,
0.3591158390045166,
0.6483496427536011,
-0.002777107059955597,
-0.1384265124797821,
-0.5313806533813477,
-0.4037717282772064,
-0.8380073308944702,
-0.030133133754134... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Let me give you an example: Question: When did the operation du... | 3 | 8 | NIv2 | task230_iirc_passage_classification | fs_opt | [
-0.08271778374910355,
0.45414918661117554,
-0.5719127655029297,
0.0033316975459456444,
0.5156717896461487,
-0.06524106115102768,
0.7790800333023071,
1.3965625762939453,
0.3341037631034851,
0.12791231274604797,
0.04239920899271965,
0.4560171365737915,
-0.6421016454696655,
0.0828689336776733... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
PROBLEM: Sentence 1: uh i didn't realize it but i sat at a cou... | yes
| 8 | NIv2 | task199_mnli_classification | fs_opt | [
-0.4692251980304718,
-0.03213323652744293,
0.4270694851875305,
0.02176785096526146,
-0.08655386418104172,
-0.2566809058189392,
0.3255293071269989,
1.411336898803711,
0.6528701782226562,
0.26248830556869507,
-0.1715182214975357,
-0.8257552981376648,
-0.14320579171180725,
0.18008717894554138... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Mas alguns verbos são irregulares.
Output: | ولكن بعض الأفعال شاذة. | 1 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.16136744618415833,
0.8967949151992798,
0.005146574229001999,
-0.5370998382568359,
-0.26713860034942627,
0.4167788624763489,
0.29153677821159363,
0.4377495050430298,
0.30873388051986694,
0.27600884437561035,
-0.9371491074562073,
-0.8089599609375,
-0.6969494819641113,
0.2088128924369812,
... |
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