inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: The second longest river in China, the Yellow River, is known locally as what?
A: | china | 9 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
-0.269149512052536,
1.0598022937774658,
-0.13719423115253448,
-0.10223639011383057,
-0.4477957487106323,
-0.018504254519939423,
-0.953917920589447,
0.7429757714271545,
0.5597084760665894,
-0.42645230889320374,
-0.0018896348774433136,
0.030558090656995773,
-0.3035844564437866,
0.34877032041... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be 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-ini... | None | 0 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
-0.18490371108055115,
0.380617618560791,
0.15867480635643005,
-0.14268583059310913,
-0.17971180379390717,
0.3409944474697113,
1.2727558612823486,
-0.057012416422367096,
0.8198757171630859,
-0.41564247012138367,
-0.44187721610069275,
0.6762264966964722,
-0.4436035752296448,
0.31747183203697... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: 病院では医療器具を運ぶのに使えるでしょう
Output: | في مستشفى ، هذا الجهاز يمكن أن يستخدم لنقل المعدات الطبية. | 3 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.11110814660787582,
-0.008757432922720909,
-0.5634890198707581,
0.06221728026866913,
-0.02262597158551216,
-0.30050164461135864,
0.25807949900627136,
0.18317365646362305,
0.4690830707550049,
-0.15049993991851807,
-0.6735854148864746,
0.9875839352607727,
0.14992330968379974,
0.477674841880... |
You will be given a definition of a task first, then some input of the task.
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... | Not paraphrase | 1 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.44349604845046997,
0.44460487365722656,
-0.4852636456489563,
-0.05426324903964996,
-0.22566410899162292,
0.44987380504608154,
1.1582711935043335,
0.2573865056037903,
0.02658742107450962,
-0.3899652361869812,
0.22948159277439117,
0.04759238660335541,
-1.0783733129501343,
0.33207678794860... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 0
| 6 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.028171202167868614,
0.35715675354003906,
-0.5279796719551086,
0.5735917091369629,
0.2619215250015259,
-0.5302495956420898,
-0.2051309049129486,
0.4781312644481659,
-0.503212571144104,
0.4061000347137451,
-0.6042414903640747,
0.5896472930908203,
-0.3660750985145569,
0.12591809034347534,
... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
See one example below:
Problem: Amends the Water Resources Development Act of 1999 ... | To amend the Internal Revenue Code of 1986 to reduce the capital gains tax on stock of domestic corporations engaged in manufacturing and to index the basis of such stock for inflation. | 4 | NIv2 | task1659_title_generation | fs_opt | [
-0.07539137452840805,
0.20560121536254883,
-0.5700258016586304,
-0.07714928686618805,
0.426455020904541,
-0.8739303946495056,
0.4645177721977234,
0.7963536977767944,
-0.5000801086425781,
0.22261443734169006,
0.4248993396759033,
0.25696828961372375,
-0.4170408248901367,
-0.41003063321113586... |
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 building ... | look around left thrice and walk thrice
****
| 4 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.6771196126937866,
0.6827099323272705,
-0.5216547250747681,
0.13405120372772217,
0.18573202192783356,
-0.07617757469415665,
0.1311696171760559,
0.8198993802070618,
-0.2664690613746643,
-0.10075558722019196,
-0.7235662341117859,
-0.14317463338375092,
-0.5748096704483032,
-0.080862388014793... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 8 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.7167677283287048,
0.9089471101760864,
0.3940940201282501,
-0.12783530354499817,
-0.08941884338855743,
-0.8052637577056885,
0.9199978113174438,
0.48006245493888855,
0.17358165979385376,
-0.1657731533050537,
-0.34259340167045593,
-0.20696836709976196,
-0.3560355603694916,
0.300933599472045... |
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 set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
excavator, crane, pelican, hoist, upr... | level | 0 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
-0.09462244808673859,
0.6020015478134155,
0.03001597337424755,
-0.29650259017944336,
0.09390345215797424,
0.18390530347824097,
0.450312077999115,
0.40315666794776917,
0.278023898601532,
-0.4735656976699829,
-0.7344892621040344,
0.1280275136232376,
-0.5180718898773193,
0.32309073209762573,
... |
Teacher: 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 ... | ADJ | 2 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.09351631999015808,
0.16500619053840637,
-0.04973940923810005,
-0.04236551374197006,
-0.11854491382837296,
-0.4323039948940277,
0.663921594619751,
0.7639322280883789,
-0.22521282732486725,
0.2052335888147354,
-0.5219042897224426,
0.11447484791278839,
-0.6517856121063232,
0.288139820098876... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Input: Consider Input: وقد بدأنا البحث في جنوب سيبيريا في جبال التاي في موقع يدعى "" دينيسوفا "" حيث هناك كهف في ذلك الجبل حيث وجد علماء الآثار في عام 2008 قطعة عظام صغيرة هذه صورة لها انها ربما السلامية الاخيرة من خنصر كف... | Output: E a primeira implementação foi pensar, sobre como poderíamos tornar o edifício autossuficiente em termos de energia, numa cidade que tem cortes de energia quase todos os dias.
| 2 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.07853381335735321,
0.6128658652305603,
-0.33113205432891846,
-0.12202876806259155,
-0.4007579982280731,
-0.3799911439418793,
0.25392746925354004,
0.9047457575798035,
0.060029320418834686,
0.42359474301338196,
-0.008575248531997204,
0.6085233092308044,
-0.38846296072006226,
0.12603855133... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a ... | Solution: Què és incorrecte? | 5 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
1.206404447555542,
1.1312806606292725,
-0.595923125743866,
0.6116546392440796,
0.03380384296178818,
-0.2977631688117981,
0.9271299839019775,
0.3822643756866455,
-0.3054655194282532,
-0.010893152095377445,
-0.6123948097229004,
0.3408665359020233,
-0.9066157341003418,
0.08855840563774109,
... |
Teacher:In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any ex... | Who is ex-soldier? | 6 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.388627827167511,
0.43376946449279785,
-0.518515944480896,
-0.23946277797222137,
0.09889861196279526,
-0.11360563337802887,
0.9759172797203064,
0.7498667240142822,
0.18614616990089417,
0.0912109985947609,
-0.04747285693883896,
0.2600700855255127,
-0.9361356496810913,
-0.016326261684298515... |
Teacher: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given... | He is angry. | 2 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.9508798718452454,
0.1495828777551651,
-0.42260876297950745,
-0.12006424367427826,
0.18492500483989716,
-0.5288418531417847,
0.41150328516960144,
1.2374582290649414,
0.6404416561126709,
0.22319242358207703,
-0.36153846979141235,
0.4222291111946106,
-0.7753183245658875,
-0.5041595697402954... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
--------
Question: The Incredible Hulk (film) -- After the mixed reception to the 2003 film Hulk, Marvel Studios reacquired... | can you buy an opel in the usa
| 7 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
-0.02493860200047493,
0.49201497435569763,
0.2076355665922165,
-0.13717949390411377,
-0.04056939482688904,
0.19635263085365295,
0.7002946138381958,
0.6242175102233887,
0.14530795812606812,
-0.4850764274597168,
-0.07780081033706665,
0.44896405935287476,
-0.20804843306541443,
0.1951488852500... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
One example is below.
Q: Comment: your posts shows you are stupid period
A: Insult
Rationale: T... | Insult | 9 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.7403249740600586,
0.4387427568435669,
0.7342976331710815,
-0.3893440365791321,
0.01982886716723442,
0.12907001376152039,
-0.07916992902755737,
0.28880032896995544,
-0.47924187779426575,
0.2775973081588745,
0.021474599838256836,
0.12840716540813446,
-0.28626322746276855,
-0.4538603425025... |
You will be given a definition of a task first, then some input of the task.
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
technical note : in 2b116 , ‘ bare table ’ means a flat table , or... | in 2b116 , `` bare table '' means a flat table or surface with no smoking or accessories . | 1 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.31301450729370117,
1.0568270683288574,
-0.22855541110038757,
-0.08416952192783356,
0.4908251166343689,
-0.3587823212146759,
1.4554502964019775,
0.6777469515800476,
-0.4285273551940918,
0.4145549535751343,
-0.3022918105125427,
-0.42440497875213623,
-0.09276391565799713,
0.645989656448364... |
Definition: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective po... | FdiYgisvwKeebl, zxcgisvwYk | 2 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.05000622943043709,
0.26312530040740967,
-0.2715928256511688,
0.37202632427215576,
0.3326042890548706,
0.08857519924640656,
0.5181877613067627,
0.12179133296012878,
-0.42100560665130615,
0.5872197151184082,
-1.1893582344055176,
-0.3683975338935852,
0.15183335542678833,
-0.4365106523036957... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Problem:Meglio far vedere anche questo. (Sullo schermo appare: Non in scala!)
Solution: | Better put that up. | 8 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
0.04072780907154083,
0.7595868110656738,
-0.145022451877594,
-0.24193771183490753,
0.05878371372818947,
0.47963958978652954,
0.3800644278526306,
1.4814327955245972,
0.24029487371444702,
0.3832244873046875,
0.05320638418197632,
0.368141233921051,
-0.5852780342102051,
0.32769182324409485,
... |
instruction:
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive ... | Offensive
| 9 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.6727521419525146,
0.2418605089187622,
0.3295971155166626,
0.5759056806564331,
0.004190468229353428,
-1.0835225582122803,
0.16433164477348328,
0.6442655324935913,
0.31272047758102417,
0.220697283744812,
0.0340493842959404,
-0.24780234694480896,
-0.6700483560562134,
-0.8090680837631226,
... |
Detailed Instructions: In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Q: مصوبات جلسه غیر علنی مجلس شورای اسلامی در چه صورتی معتبر خواهد بود؟ <sep> (A) در صورتیکه به تصویب دو سوم مجموع نمای... | B | 9 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.33149608969688416,
0.9825546741485596,
-0.10474517941474915,
0.8795286417007446,
-0.5235104560852051,
0.2823725640773773,
1.7779173851013184,
0.49949759244918823,
0.17340177297592163,
0.43240612745285034,
-0.40387243032455444,
0.4630042314529419,
0.28576764464378357,
0.19568321108818054... |
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.
Sentence: The developer buil... | Male | 0 | NIv2 | task341_winomt_classification_gender_anti | zs_opt | [
-1.365875482559204,
0.7209749221801758,
-0.5184352397918701,
-0.5597538948059082,
0.09205220639705658,
0.03556863218545914,
0.2545269727706909,
0.6056164503097534,
0.4820924401283264,
0.40612250566482544,
-0.9171993732452393,
0.0015334337949752808,
-0.7989667057991028,
-0.5252188444137573,... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: この情報のなかに意図的に混ぜたのは被験者自身がネットに投稿した完全に合法でありながらちょっと具合の悪い情報に関することです
A: | We included in this information some references to some funny, absolutely legal, but perhaps slightly embarrassing information that the subject had posted online. | 9 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.6546171307563782,
-0.4623097777366638,
0.40195319056510925,
-0.29149770736694336,
0.37353891134262085,
-1.2856348752975464,
-0.43801644444465637,
0.7307125329971313,
0.2206934094429016,
0.48263072967529297,
-0.1011061891913414,
0.44760653376579285,
-0.8060485124588013,
0.009033673442900... |
Teacher:Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: フリータウンで行われた財務省のプレゼンテーションではシエラレオネのユニセフ... | No | 6 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.0497740507125854,
-0.35305649042129517,
0.28240078687667847,
-0.13574707508087158,
0.059880368411540985,
-0.5117495656013489,
1.1506037712097168,
0.5443050861358643,
-0.6297814249992371,
-0.5297625064849854,
0.04787277430295944,
0.601288914680481,
-0.5232158899307251,
0.3557501137256622... |
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... | green_cupboard
| 3 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.7058262228965759,
-0.40699517726898193,
-0.468794047832489,
-0.17434009909629822,
0.06196312606334686,
-0.45123425126075745,
0.5104953050613403,
0.8354973196983337,
0.022142965346574783,
-0.07004848122596741,
-0.4949769973754883,
0.595676064491272,
-0.12644077837467194,
-0.33461427688598... |
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 "Inversion" base... | Inversion | 4 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.64616459608078,
1.088470220565796,
0.4905945658683777,
0.1530800759792328,
-0.05649110674858093,
-0.4510535001754761,
0.3003181219100952,
0.9215916991233826,
-0.10907577723264694,
-0.1620674580335617,
-0.5947909355163574,
-0.010732772760093212,
-0.6836365461349487,
-0.17699739336967468,... |
Definition: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Input: Context: I'm so sadd... | no | 2 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.4644099473953247,
0.465885728597641,
0.2559582591056824,
0.29976385831832886,
-0.004187929444015026,
-0.4173487424850464,
0.5118774175643921,
-0.0013804547488689423,
0.40799838304519653,
0.2612605094909668,
-0.1408802568912506,
-0.006707155145704746,
-0.06436614692211151,
0.133238196372... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Example input: English sentence: Lionel Messi is the greatest football player of all time
Example output: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example explanation: T... | Qormo Press” Ra’iisal wasaaraha xukuumada Soomaaliya Cumar C/rashiid Cali Sharm’arke ayaa si qarsoodi ah shaqsi ay isku beel ka soo jeedaan ugu magacaabay wasiiru-dowlaha xafiiska ra’iisal wasaaraha xilkaas oo uu ka geeriyooday Alle ha u naxariisteen Burci Xamza oo ku dhintay weerarkii ismiidaaminta ahaa ee lagu qaaday... | 3 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.46401655673980713,
0.7552700042724609,
-0.8359957933425903,
0.09350451827049255,
0.3335810899734497,
-1.1685986518859863,
-0.16771966218948364,
0.03871893510222435,
-0.041466061025857925,
-0.4922395944595337,
0.27424007654190063,
0.9159023761749268,
-0.5766763687133789,
0.32750174403190... |
Detailed Instructions: An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Problem:Answer: sonia orwell
Solution: | what was the name of george orwell's wife? | 8 | NIv2 | task443_com_qa_ans_question_generation | zs_opt | [
-0.4845370054244995,
0.917880654335022,
0.15280534327030182,
-0.7198739051818848,
-0.1400800496339798,
-1.2137186527252197,
-0.24919673800468445,
-0.4027886390686035,
1.0842516422271729,
-0.5867403745651245,
0.5775718688964844,
0.26979395747184753,
-0.9814159274101257,
-0.7129252552986145,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Example: "" אף אדם אינו אי העומד בפני עצמו.
Example solution: "" Nessun uomo è un'isola completamente a sé.
Example explanation: The Hebrew sentence is correctly translated into Italian, because the meaning is preserved.
Pro... | Solution: In meno di 40 anni, saremo 9 miliardi. | 5 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.2131805717945099,
0.9367858171463013,
0.004276306368410587,
-0.2490513026714325,
-0.8410844802856445,
-0.48990923166275024,
0.7818442583084106,
0.2569727301597595,
0.19552883505821228,
-0.842198371887207,
-0.7078007459640503,
0.3471948504447937,
-1.5088180303573608,
0.17619194090366364,... |
Teacher: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, th... | None | 6 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.31231215596199036,
0.32102158665657043,
-0.03250884264707565,
-0.32362550497055054,
-0.5043299198150635,
-0.10836340487003326,
0.37443143129348755,
0.40471351146698,
0.6057283878326416,
-0.6163639426231384,
-0.19880549609661102,
0.2567294239997864,
-0.4760286211967468,
-0.437162727117538... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['433', '133', '255', 'h', '59', 'm', '315', '149', 't', 'y', 'n', '5... | 1, 2, 3, 4, 5, 9 | 1 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.1532912254333496,
-0.4634855389595032,
-0.3346264660358429,
-0.20286032557487488,
0.27935612201690674,
0.6092953085899353,
-0.12122049927711487,
0.07473663985729218,
-0.19278016686439514,
0.1896207481622696,
-0.8256121873855591,
-0.17309653759002686,
-0.4680114686489105,
-0.133831530809... |
instruction:
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.
question:
What should you do if you tell your girlfriend you love her and she's not ready to say it back?
answer:
What are some cute things your s... | How do Native American tribes commemorate death? What ceremonies do the Creek Tribe practice?
| 9 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.30621403455734253,
0.9141544103622437,
0.10290008783340454,
0.01933146081864834,
-0.4230024814605713,
-0.9215334057807922,
0.8122599720954895,
-0.20099115371704102,
-0.43718791007995605,
-0.18448401987552643,
-0.26808640360832214,
-0.07304845750331879,
-0.2883269190788269,
0.40532815456... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Input: Isto são os vasos sanguíneos.
Output: | אלה הם כלי-הדם. | 2 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
0.2715299129486084,
0.7696857452392578,
-0.2526429295539856,
0.5075398683547974,
-0.4403824210166931,
0.010421989485621452,
0.6515324115753174,
1.0179266929626465,
1.0247015953063965,
0.003927954472601414,
-0.8222876787185669,
-0.09208314120769501,
-0.5743318796157837,
-0.04037095606327057... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Example Input: jxxjxjxxaaaj
Example Output: xxjxjxx
Exam... | nnnnn
| 3 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.5532506704330444,
0.9642274379730225,
-0.18031072616577148,
-0.3758195638656616,
-0.6190078854560852,
-0.08652661740779877,
1.0492284297943115,
-0.06777273118495941,
0.1329888254404068,
-0.3185468912124634,
-0.6615265607833862,
0.1619342863559723,
-0.6204476356506348,
0.4510011374950409... |
In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Example Input: Today similar flare sta... | As a result , First Lady Nancy Reagan created her " Just Say No " campaign to promote anti-drug usage to children .
| 3 | NIv2 | task933_wiki_auto_style_transfer | fs_opt | [
-0.3527359962463379,
0.4550158381462097,
-0.34352225065231323,
0.18963634967803955,
-0.06886858493089676,
-0.8288835287094116,
0.9288133382797241,
1.1634496450424194,
0.5555770993232727,
0.16995662450790405,
-0.7178201675415039,
0.2242603749036789,
-0.2353755235671997,
-0.3926140069961548,... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Example Input: Text: first time using ebay. sold a laptop for $800. send buyer invoice. re... | Tifu by getting poison ivy nsfw
| 3 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.03136966750025749,
0.11990490555763245,
-0.28032582998275757,
-0.355813592672348,
0.6001413464546204,
-0.023509709164500237,
0.5737978219985962,
0.5090826153755188,
-0.2783474028110504,
0.12993869185447693,
0.5153087377548218,
0.4409531354904175,
-1.0079905986785889,
-0.16290995478630066... |
Teacher:In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Teacher: Now, understand the problem? Solve this instance: English: The proposal therefore aims to facilitate harmonisati... | Yes | 6 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.47966885566711426,
0.358242392539978,
0.7003124952316284,
-0.18334892392158508,
0.1478102207183838,
-0.7512030005455017,
0.5009133815765381,
0.5519266128540039,
0.09289887547492981,
0.06756207346916199,
0.4508994221687317,
-0.09814058989286423,
-0.7464224100112915,
-0.05279615521430969,... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Ex Input:
We're just seeing this strange thing and we know we love David Sedaris, and so we're hoping that we're in for a good time.
Ex Output:
Widzimy tylko tę dziwną rzecz i już wiemy, że podoba nam się David Sedaris, i ... | Nazywa się to "" zmianą funkcji "".
| 1 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.7140620946884155,
0.2616855204105377,
-0.6340404748916626,
-0.07417942583560944,
-0.08619486540555954,
-0.6713132858276367,
0.5893665552139282,
-0.4741882383823395,
0.9204928874969482,
-0.10055016726255417,
-0.5679091215133667,
-0.314245343208313,
-0.1716720163822174,
0.0672208666801452... |
Q: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one di... | 7 | 7 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.6898115873336792,
1.1058471202850342,
0.061591919511556625,
-0.7374336123466492,
-0.00843063835054636,
-0.4269063472747803,
1.314828634262085,
-0.24761918187141418,
0.33145037293434143,
-0.7952910661697388,
0.16621437668800354,
-0.001342087285593152,
-0.9668384194374084,
-0.4929172396659... |
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... | Robert's. | 9 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.2676047384738922,
0.22593912482261658,
0.041328802704811096,
0.19797459244728088,
0.12821321189403534,
-0.6867454051971436,
0.056619077920913696,
1.3575351238250732,
-0.5405863523483276,
0.48154181241989136,
-0.8476822376251221,
-0.03838731348514557,
-1.2321996688842773,
0.10145144909620... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Q: Article: Americans think that travel... | No | 4 | NIv2 | task310_race_classification | zs_opt | [
0.7807495594024658,
-0.30074751377105713,
-0.1361219584941864,
-0.147328719496727,
-0.08363879472017288,
-0.27675074338912964,
0.8094674348831177,
1.189561367034912,
-0.1252431571483612,
-0.2841004431247711,
-0.5135291814804077,
0.6717922687530518,
0.16517095267772675,
-0.3694368004798889,... |
This task is about translating a given French language sentence to English.
One example is below.
Q: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
A: You did such a great thing today, why are you avoiding me?
Rationale: This is a good example because the French sentence has been ... | He just looked back at me very warmly, but said no words. | 9 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.26137274503707886,
1.347798228263855,
0.8774005770683289,
-0.4406338334083557,
0.25173068046569824,
-1.0952033996582031,
0.27106404304504395,
-0.3632521629333496,
0.3577357828617096,
-0.22210654616355896,
-0.16468648612499237,
0.31213897466659546,
-0.8898253440856934,
-0.020508177578449... |
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.
Ex Input:
Poster: Went see my favorite California Fuzz Rockers @fuman... | Mixed
| 1 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.4901122450828552,
-0.23835588991641998,
-0.004422320984303951,
0.7198219299316406,
0.17538537085056305,
-0.9061489105224609,
0.1390807330608368,
0.4030110538005829,
-0.07923173904418945,
0.2447463721036911,
-0.04561363160610199,
0.1967015564441681,
0.40643808245658875,
-0.26841634511947... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | As he got older, the piece of coal never became a diamond. Brady was grown up and remembered the coal. He was sad he dug the piece of coal up too early. | 4 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.5018308162689209,
0.5715550184249878,
0.48138323426246643,
-0.5316731929779053,
0.17107275128364563,
-1.1047037839889526,
0.07277233153581619,
1.317906141281128,
-0.197224423289299,
-0.3113881051540375,
-0.8394892811775208,
-0.5029897689819336,
-0.47407686710357666,
0.16003504395484924,
... |
Detailed Instructions: 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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausib... | b | 8 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.30149272084236145,
0.37446773052215576,
0.48869672417640686,
-0.400718092918396,
0.35479021072387695,
-0.1407967209815979,
0.2695418894290924,
0.8925396203994751,
0.07157398760318756,
0.49911534786224365,
-0.892327070236206,
-0.039825260639190674,
-0.0967709869146347,
-0.208826124668121... |
Detailed Instructions: Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Q: Abstract: We describe the clinical and laboratory characteristics of 52 patients with rheumatoid vasculitis whose condition was diagnosed at a tertiary care center between 1974 and 1981,... | Rheumatoid vasculitis: survival and associated risk factors. | 9 | NIv2 | task619_ohsumed_abstract_title_generation | zs_opt | [
0.18330997228622437,
0.6385225057601929,
-0.5023353099822998,
0.09274204075336456,
0.07414991408586502,
-0.18374738097190857,
-0.1682010143995285,
0.9160693287849426,
0.22673830389976501,
0.1380194127559662,
0.20034688711166382,
0.5053727626800537,
-0.4599030613899231,
0.4319172501564026,
... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
و شکل منفی آن ، به همان اندازه مهمه — "با دیگران کاری را نکنید که دوست ندارید با شما آن کار را بکنند."
| Równie ważna jest negacja: Równie ważna jest negacja: "" Nie rób drugiemu, co tobie niemiłe "". | 5 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.8919639587402344,
1.3009132146835327,
-0.008049193769693375,
0.11865945160388947,
-0.7852997779846191,
0.5638037919998169,
1.0701797008514404,
-0.4944610297679901,
0.49459517002105713,
-0.38645875453948975,
-0.8625948429107666,
0.6852046847343445,
-0.3178500533103943,
0.1535982936620712... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Lee d... | B
****
| 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.7721192836761475,
-0.03875749185681343,
-0.19226858019828796,
-0.27281105518341064,
0.12739545106887817,
0.2498313933610916,
0.11929290741682053,
0.8297346234321594,
-0.4722348749637604,
0.376216322183609,
0.13874343037605286,
0.8858851790428162,
-0.32721054553985596,
-0.474054753780365... |
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... | Jean-Luc: B-PER, Dehaene: I-PER, Europese: B-ORG, Commissie: I-ORG | 8 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
0.2669229209423065,
0.2879679203033447,
-0.01494876854121685,
0.06861163675785065,
-0.14690342545509338,
-0.14473271369934082,
1.0074462890625,
0.2004847228527069,
0.6425924897193909,
-0.2534707486629486,
-0.8114081621170044,
0.4437713623046875,
0.3625708222389221,
0.02324652299284935,
0... |
instruction:
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
question:
ઊભા બેઠકો શૌચાલય, સિંક, ફુવારો અને ગંદા સફેદ ટુવાલ સાથેના બાથરૂમનું ચિત્ર.
answer:
Picture of a bathroom with raised seat toilet, sink, shower and dirty white t... | A little girl wearing a hat with ears sitting on a park bench with large boulders behind it.
| 9 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.5304362773895264,
0.40297645330429077,
-0.31389954686164856,
-0.6579777002334595,
0.5671773552894592,
-0.9913854598999023,
-0.5326307415962219,
0.3359212279319763,
-0.3166630268096924,
0.16777020692825317,
0.3928277790546417,
0.2502346634864807,
-0.17762210965156555,
-0.2926011979579925... |
This task is about translating a given Spanish language sentence to English.
Example input: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Example output: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Example explanation: This is a good example because the Spanish s... | I like that one: | 3 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.6990907788276672,
0.6884778738021851,
-0.02265821397304535,
-0.7794942855834961,
-0.3425140976905823,
-1.2071311473846436,
0.49466192722320557,
0.8364932537078857,
0.7870304584503174,
-0.9013503193855286,
-0.5035004019737244,
0.7181226015090942,
-0.40265586972236633,
0.2194613218307495,... |
Q: In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and... | Economy | 7 | NIv2 | task1588_tecla_classification | zs_opt | [
0.09215814620256424,
0.3731987476348877,
0.026869505643844604,
-0.33981645107269287,
-0.3631270229816437,
0.1582358479499817,
0.06869248300790787,
1.4358357191085815,
-0.2143227607011795,
-0.038548216223716736,
-0.5482003688812256,
-0.15585827827453613,
-0.19107386469841003,
-0.11091618239... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Example: Text: The Mansfield Building S... | 2 | 1 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.3695693612098694,
0.03671349585056305,
-0.04862666875123978,
-0.295204222202301,
0.7619912624359131,
-0.24975305795669556,
-0.4746907651424408,
0.4238729476928711,
-0.49623653292655945,
0.06052426993846893,
-0.4014502167701721,
0.5085177421569824,
-0.11216673254966736,
-0.318703681230545... |
Detailed Instructions: In this task, you are given a tuple, comprising 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... | Yes | 9 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.38110703229904175,
0.5783426761627197,
0.47346580028533936,
-0.11622008681297302,
-0.5095932483673096,
-1.7841477394104004,
0.8616511821746826,
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-0.7807255387306213,
0.06617482006549835,
-0.3675857186317444,
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-0.4767110347747803,
-0.2794813513755798... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Abbiamo scattato foto come questa.
Output: | וצילמנו צילומים כאלה. | 2 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
0.1866287738084793,
0.5203644633293152,
-0.5075364708900452,
0.5088723301887512,
-0.31462016701698303,
-0.14764049649238586,
0.3787905275821686,
0.8744041919708252,
1.1820670366287231,
-0.07230830937623978,
-0.755946934223175,
0.08559860289096832,
-0.6424559354782104,
0.5622644424438477,
... |
In this task, you are given a question in Persian, and your task is to translate it into English.
Q: قسمت داخلی یک بادمجان چه شکلی باید باشد؟
A: What should the inside of an eggplant look like?
****
Q: دیدگاه های شما در مورد تجاوز جنسی در هند چیست؟
A: What are your views about demonetisation in India?
****
Q: چه کسی... | Who is the best Indian fielder ever?
****
| 4 | NIv2 | task653_parsinlu_fa_en_translation | fs_opt | [
-0.5794500112533569,
0.15721985697746277,
-0.3327665328979492,
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-0.2507968246936798,
-0.8416938781738281,
0.9606295824050903,
-0.2304745316505432,
0.4947148561477661,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
****
| 4 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.12297780811786652,
0.3044337034225464,
-0.010459991171956062,
-0.3928587734699249,
-0.9365658760070801,
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-0.6955893039703369,
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-0.3022574782371521,
-1.1376022100448608,
0.2136367410421371... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return ... | 1 - other | 1 | NIv2 | task352_coda-19_classification | zs_opt | [
0.29474082589149475,
0.015753641724586487,
-0.19103488326072693,
0.027779366821050644,
0.6134666204452515,
-0.0765666663646698,
0.5238702297210693,
0.9976814985275269,
0.028356503695249557,
0.026011068373918533,
-0.9072741866111755,
0.0931645929813385,
-0.1817706823348999,
0.13537390530109... |
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'.
--------
Question: Problem: the ratio of two no . addition and subtraction be 4 : 3 . the what is the ratio of numbers ?
Options: a ) 3 : 2 , b ) 4 : 3 , c ) 5 : 1 , d ) 6 : ... | e
| 7 | NIv2 | task1420_mathqa_general | fs_opt | [
-0.0826372504234314,
1.099360704421997,
-0.18648216128349304,
-0.11742370575666428,
-0.14051951467990875,
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-0.43927717208862305,
0.22385196387767792,
-0.5996021032333374,
0.336852490901947,
-0.27822622656822205,
-0.4263779222965240... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Love this charger. It consistently charged our devices in London, Italy, U.S., and Germany. It's compact and perfect for the many devices that need... | positive | 0 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.06576937437057495,
-0.6223106980323792,
0.10361699759960175,
-0.5786365866661072,
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-0.13342680037021637,
0.7837086319923401,
-0.3167085349559784,
-0.023819919675588608,
-0.39311695098876953,
-0.4279336333... |
Teacher: In this task, you need to reverse the order of words in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: luggage surrounds a vehicle in an underground parking area
Solution: area parking underground an in vehicle a surrounds luggage
Reaso... | oven an in put being tomatoes and sausages with grill a | 2 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.04607665166258812,
0.6400585174560547,
0.03596105799078941,
-0.0786658450961113,
-0.33488085865974426,
-0.4770386219024658,
-0.04665408283472061,
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-0.27649378776550293,
-0.06331853568553925,
-0.09874255955219269,
-0.2502241134... |
Definition: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. ... | Funny | 2 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.1575489491224289,
0.3095128536224365,
0.1420244723558426,
-0.03438601270318031,
-0.4882287085056305,
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-0.2810571789741516,
-0.7798808813095093,
-0.12725278735160828,
-1.0588374137878418,
0.034632958471775055... |
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.
Q: Sentence1: My husband and I went to the animal shelter to find a puppy. Sentence2: There were so many bea... | When we got him home, he was so happy too! | 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.6518360376358032,
1.0801739692687988,
-0.44569170475006104,
-0.6060948371887207,
-0.2230028659105301,
-0.6499271392822266,
-0.012040968984365463,
-0.210872083902359,
0.7743926048278809,
-0.464641809463501,
-0.47606784105300903,
0.2251276671886444,
-0.19925561547279358,
0.079667642712593... |
In this task, given a sentence in the English language, your task is to convert it into English Tokens.
One example is below.
Q: The incident, involving a lorry and a Ford Mondeo, occurred at around 01:00 UTC today (02:00 local time) on the A607 road.
A: The incident , involving a lorry and a Ford Mondeo , occurred at ... | In the ruling , the judge blasted the FDA for giving in to `` political considerations '' and delaying approval of the new age limit . | 9 | NIv2 | task560_alt_translation_en_entk | fs_opt | [
0.057672224938869476,
0.15076658129692078,
0.7526012659072876,
-0.49910101294517517,
-0.37611207365989685,
-0.3825194239616394,
-0.4103841781616211,
1.1239912509918213,
0.6056410074234009,
-0.2150905728340149,
0.1899581253528595,
0.40508949756622314,
-0.30564185976982117,
0.143294870853424... |
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... | Solution: toy | 5 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.1203356608748436,
-0.1801847219467163,
-0.38975396752357483,
0.2441035807132721,
0.5291799306869507,
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0.496684730052948,
0.6656672954559326,
-0.4531019330024719,
0.16470132768154144,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Problem:Comment: (*In 2016, “gender identity or expression” was added to... | Non-insult | 8 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.518609881401062,
0.6061244010925293,
0.841255784034729,
-0.10305950045585632,
0.24383199214935303,
-0.16925501823425293,
0.765012264251709,
0.594143271446228,
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0.232302725315094,
0.10591825842857361,
-0.10625725239515305,
-0.12344439327716827,
-0.7252205610275269,
... |
Detailed Instructions: In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spendin... | he got mad. | 4 | NIv2 | task011_mctaco_wrong_answer_generation_event_ordering | fs_opt | [
-0.3105526566505432,
0.4240425229072571,
-0.7964385151863098,
0.06556706130504608,
-0.6369325518608093,
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1.2833713293075562,
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-0.1546754240989685,
-0.2810748815536499,
-0.37387245893478394,
0.21630926430225372,
-1.1574680805206299,
0.0051543666049838... |
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... | The red potatoes.
| 5 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
1.287719488143921,
-0.1573536992073059,
-0.770618200302124,
0.6626898050308228,
-0.0575418658554554,
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1.4599803686141968,
1.0648462772369385,
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-0.21595604717731476,
0.19881826639175415,
-0.07295021414756775,
-0.38623595237731934,
0.226408138871192... |
Definition: 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... | Piero Sraffa | 2 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.4434385597705841,
0.627792477607727,
0.04440097510814667,
-0.2971498966217041,
0.37181150913238525,
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0.006771933753043413,
-0.6945258378982544,
0.07774975895881653,
-0.7271994948387146,
-0.12794937193393707... |
Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Review: Whatever the merits of the film, it is... | yes | 3 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.3492196798324585,
0.10734806954860687,
-0.07081064581871033,
0.47542887926101685,
0.10315153002738953,
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0.8643448352813721,
0.7522436380386353,
0.1239161491394043,
0.312289834022522,
-1.0609745979309082,
0.15315750241279602,
-0.1880708634853363,
-0.0469806008040905,... |
TASK DEFINITION: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
PRO... | Answerable
| 8 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
0.03870290517807007,
-0.18401935696601868,
-0.8656708002090454,
0.06841746717691422,
0.11855170130729675,
-1.1608762741088867,
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1.1696834564208984,
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0.5421156287193298,
-0.3301241397857666,
0.15096226334571838,
-0.7398474812507629,
0.268863350152969... |
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're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the giv... | False | 0 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.3386404514312744,
0.16258957982063293,
-0.18497225642204285,
0.07728548347949982,
0.12260161340236664,
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0.1969357281923294,
-0.23941494524478912,
-0.0020288412924855947,
-0.39824044704437256,
-0.2283149063... |
Definition: 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.
Input: I bought this for my 5 year old son because he is always leaving little b... | Good Review | 2 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.5855672359466553,
-0.03154276683926582,
-0.11325061321258545,
-0.15837088227272034,
0.4152361750602722,
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0.4848466217517853,
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0.47558271884918213,
-0.15098227560520172,
0.3702399730682373,
-0.5504342317581177,
-0.18104913830757... |
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 category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: ... | descending | 0 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.13820579648017883,
0.22516605257987976,
0.30211207270622253,
-0.2950986921787262,
0.14619305729866028,
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-0.383017361164093,
-0.5408949255943298,
0.06338304281234741,
-0.5633060336112976,
0.4098881185054779,
... |
Detailed Instructions: 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.
Q: The milk turns sour as soon as it is added to water , because of excess salinity .
A: | अधिक खारे पानी के कारण पानी में दूध मिलाते ही वह खट्टा हो जाता है । | 9 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.34126216173171997,
0.6682775616645813,
0.3429356813430786,
-0.5961422920227051,
-0.005765986628830433,
-0.20247408747673035,
-0.5126380920410156,
0.7072582840919495,
-0.542241632938385,
-0.3620700538158417,
0.08114751428365707,
-0.46744391322135925,
-1.4008896350860596,
0.09867833554744... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Input: Mientras tanto, los dos daneses de la izquierda se están matando de la risa.
Output: | Mentres tanto, os dous rapaces daneses á esquerda da cámara morren da risa. | 3 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-1.073693037033081,
1.6344977617263794,
-0.33838844299316406,
-1.7455389499664307,
-0.7615451216697693,
0.33985579013824463,
0.1110992431640625,
0.38712847232818604,
0.47910457849502563,
0.021916799247264862,
-0.7296676635742188,
-0.022823866456747055,
-0.3157398998737335,
-0.3475661277770... |
Detailed 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..
See one example below:
Problem: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer... | How would Taylor feel afterwards? | 4 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.24982315301895142,
0.861754834651947,
0.2142714262008667,
-0.17533549666404724,
-0.11242489516735077,
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0.2895906865596771,
0.28842705488204956,
0.4204864799976349,
0.07414987683296204,
-0.5056924819946289,
0.20743338763713837,
-0.7520421743392944,
0.06345325708389282,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Title: basketball. Sentence 1: Joe loved to play... | Joe loved his new basketball. | 6 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.010108742862939835,
0.605826199054718,
-0.08992888033390045,
-0.11316482722759247,
0.3205413520336151,
-0.11192099004983902,
0.7288031578063965,
0.7387640476226807,
-0.18234792351722717,
-0.12385822832584381,
-0.5030931234359741,
-0.03374674916267395,
-0.6569252610206604,
-0.26151093840... |
Detailed Instructions: In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Problem:So Reddit, last year, I graduated from college and moved to a new city. My roomma... | RIGHT | 8 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
-0.15437480807304382,
0.7687531113624573,
-0.25542616844177246,
-0.47252631187438965,
0.5246542096138,
-0.8144748210906982,
-0.046196967363357544,
0.8748988509178162,
-0.35955581068992615,
-0.2177087664604187,
0.4161880612373352,
0.8271355032920837,
-0.7896836996078491,
-0.613577127456665,... |
Instructions: In this task, you are given a question in Persian, and your task is to translate it into English.
Input: مرگبارترین نبرد تاریخ چه بود؟
Output: | What was the deadliest battle in history? | 3 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
0.0898926705121994,
0.4817659854888916,
0.045221105217933655,
0.2482096254825592,
-0.19457897543907166,
0.6593731641769409,
0.3477522134780884,
0.145235076546669,
0.6724732518196106,
0.19160392880439758,
-0.7629340887069702,
-0.20089367032051086,
0.0847843736410141,
0.34453415870666504,
... |
Detailed Instructions: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please be... | Brother Demeester concludes: “Although the COVID-19 outbreak has distanced us in many ways, it has been amazing to see how during this Memorial season our congregation has grown even closer. | 9 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.43676188588142395,
0.3959680199623108,
-0.019638607278466225,
0.20719514787197113,
0.15248054265975952,
-0.4469603896141052,
0.28971046209335327,
0.48513031005859375,
-0.29985231161117554,
0.00964087713509798,
-0.2949642241001129,
0.784171462059021,
-0.6258209347724915,
0.48202812671661... |
Q: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage wh... | True | 7 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.08224242925643921,
0.09391897171735764,
-0.02532884106040001,
0.9714277982711792,
-0.05721556395292282,
-1.0209197998046875,
1.638826608657837,
0.537826418876648,
0.14261016249656677,
-0.10159850865602493,
-0.2743346691131592,
0.09540551900863647,
-0.745884895324707,
0.07233496755361557,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about ... | weakener | 1 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.21619443595409393,
0.1391940414905548,
-0.5351227521896362,
0.47537922859191895,
0.22227537631988525,
-0.5663764476776123,
0.477239727973938,
1.4363999366760254,
0.7687222361564636,
-0.4424530863761902,
-1.1907222270965576,
0.27552956342697144,
-0.4972667694091797,
-0.007302777841687202... |
Teacher: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقب... | در انجیل آمده است که شما نمی توانید لباسی که از الیاف مخلوط ساخته شده باشد بپوشید. من فکر کردم این عجیب است ، ولی خوب بگزار امتحانش کنم. تا وقتی که امتحانش نکنم ، نمی فهمم. | 2 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.4884411096572876,
0.11987701058387756,
-0.5608788728713989,
-0.4283168911933899,
-0.2346925288438797,
-0.47525280714035034,
1.1304692029953003,
0.32416850328445435,
0.0014674384146928787,
-0.1653294414281845,
-0.8163356781005859,
0.37439316511154175,
-0.7249094843864441,
0.2115568518638... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Sapete di che si tratta - la chiamate "" visualizzazione dei dati "". Se fatta come si deve, è rivelatrice.
A: Sabem o que isto é: chama-se "" visualização de dados "". E, quando é bem feito, é esclarecedor.
****
Q: ... | E, graças a Deus, nós éramos demasiado jovens, rebeldes e do contra, nessa altura.
****
| 4 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.505297839641571,
0.6038165092468262,
-0.3594456911087036,
-0.22794049978256226,
-0.8655056953430176,
-0.431011438369751,
-0.03537537902593613,
1.6528313159942627,
0.6371003985404968,
0.13778015971183777,
-0.6794532537460327,
-0.11360684782266617,
-0.09182706475257874,
0.7566714286804199... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Q: English sentence: Trenbolone, commonly abbreviated as Tren, is ranked among the most effective steroids in changing one's physique quite quickly.
A: | Trenbolone, ọtụtụ ndị na-abbreviated dị ka Tren, na-họọrọ n'etiti ndị kasị dị irè Steroid na mmadụ ịgbanwe physique ezi ọsọ ọsọ. | 9 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.5688900947570801,
0.9273340702056885,
-0.3673585057258606,
-0.8141360282897949,
-0.055992916226387024,
-1.5592966079711914,
0.20824019610881805,
0.35036471486091614,
0.5329768061637878,
-0.4783145487308502,
-1.0998692512512207,
0.042139824479818344,
-0.7793574333190918,
0.146048128604888... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
मैंने इसे इस महीने 3 बार देखा है. - उह .. | I've seen it three times this month. | 0 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.24432675540447235,
0.7114707231521606,
-0.10720989108085632,
0.42921507358551025,
-0.046034205704927444,
-0.4194687604904175,
0.32623061537742615,
0.16503937542438507,
-0.5811726450920105,
-0.6413148641586304,
-0.2261265516281128,
0.30192071199417114,
0.011894190683960915,
0.720669984817... |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, t... | Sentence 1: Jane got her heel sinking in the sand when walking on the beach because the _ is lose.
Answer1: sand.
Sentence 2: Jane got her heel sinking in the sand when walking on the beach because the _ is pointed.
Answer2: heel. | 4 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.4996618628501892,
0.21993903815746307,
0.07621754705905914,
-0.5303164124488831,
0.6932520866394043,
-0.8018595576286316,
0.39642488956451416,
1.2867107391357422,
-0.6464533805847168,
-0.1537502110004425,
-0.37053102254867554,
-0.0075261713936924934,
-0.40376991033554077,
-0.122493095695... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | True | 3 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.37140482664108276,
0.2464192658662796,
-0.24225926399230957,
0.24089786410331726,
-0.13689933717250824,
-0.7525995969772339,
0.6908852458000183,
0.6850761771202087,
-0.2721240222454071,
-0.21399426460266113,
-0.47181063890457153,
0.17832674086093903,
0.2117081582546234,
0.030973518267273... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Q: Sentence 1: Allie got something in the ma... | Chocolate gift | 9 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.2329978048801422,
0.7769507169723511,
0.3458220958709717,
-0.4550352692604065,
0.27122068405151367,
-0.4505632817745209,
0.06235857307910919,
0.311672180891037,
-0.4741895794868469,
-0.02160434052348137,
-0.4071882963180542,
-0.42158398032188416,
-0.9643091559410095,
0.35746151208877563... |
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... | French Impressionist art | 6 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
0.5149810910224915,
0.39886474609375,
0.12252397835254669,
0.9089158177375793,
0.47164732217788696,
0.21012011170387268,
-0.7392301559448242,
0.21519431471824646,
0.059935566037893295,
0.42961254715919495,
-0.0666278600692749,
0.3151451349258423,
-0.6412674784660339,
-0.02220648154616356,
... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
[EX Q]: ഗുരു നാനാക് ദേവ് പറയാറുണ്ടായിരുു, 'ദരിദ്രരെയും ഇല്ലാത്തവരെയും സേവിക്കുതാണ് ഭഗവത് സേവ' എ്.
[EX A]: गुरू नानकदेव सांगायचे की, गरीब आणि गरजू या... | खेलो इंडिया या पचेही पंतप्रधानांनी यावेळी उद्घाटन केले.
| 6 | NIv2 | task1071_pib_translation_malayalam_marathi | fs_opt | [
-0.49577611684799194,
0.6719988584518433,
0.17406532168388367,
-1.492903709411621,
-0.514204740524292,
-0.1276789903640747,
1.1362800598144531,
0.6136202216148376,
-0.8031762838363647,
-0.30109935998916626,
0.1099601686000824,
-0.48049116134643555,
-0.5376746654510498,
-0.7022765874862671,... |
Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains infor... | 2 | 3 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.4622765779495239,
0.7935352921485901,
-0.08782727271318436,
-0.14059247076511383,
0.04148107394576073,
-0.2980040907859802,
-0.023172829300165176,
0.48205623030662537,
-0.19738350808620453,
0.3060172200202942,
-0.2739455997943878,
0.10795150697231293,
0.026653451845049858,
-0.3065849542... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
One example is below.
Q: CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon no rekishi / Nihonshi?) es la... | Caja Rural de Asturias | 9 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.1198853850364685,
-0.2384282946586609,
-0.44797638058662415,
0.4856424927711487,
0.18179552257061005,
-0.2582593858242035,
1.0326124429702759,
1.4285733699798584,
-0.5263495445251465,
-0.09286534786224365,
-0.49404746294021606,
0.8558098077774048,
-0.9743965864181519,
0.5189153552055359,... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: スポンサーによる幾つかの文字商標が台北１０１に表れた為、政府幹部から批判が起こり、台北国際金融センター（台北101の所有者）が34階からタワーの最上階である１０１階までの500メートルの... | No | 0 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-1.167546033859253,
-0.6060961484909058,
0.3881067633628845,
-0.04491790384054184,
0.3985961079597473,
-0.4545342028141022,
0.5602626800537109,
0.678085446357727,
-0.8557239770889282,
0.3743574023246765,
-0.5892431735992432,
0.009942974895238876,
-0.7674550414085388,
0.06368079036474228,
... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Problem:Ahead, two doctors try to stop someone from leaving. He
Solution: | reaches the alligator cabinet and closes a door. | 8 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.4956223964691162,
0.891350269317627,
0.18173524737358093,
-0.2793548107147217,
-0.3647870123386383,
0.04523979127407074,
-0.45283278822898865,
0.5994291305541992,
0.5829019546508789,
-0.021798793226480484,
-1.2102992534637451,
-0.03920913487672806,
-0.37865155935287476,
-0.07928220927715... |
Teacher:In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer wi... | against | 6 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.2989145517349243,
0.8101121187210083,
-0.22843554615974426,
-0.6420019865036011,
-0.3886275291442871,
-0.8075373768806458,
0.0673828274011612,
0.6350616216659546,
0.06898929178714752,
0.11970013380050659,
-0.3161620795726776,
0.1372966319322586,
-0.6977155804634094,
-0.15852390229701996,... |
Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: Polymorphisms in and around the Cholesteryl Ester Transfer Protein (CETP) gene have been associated with HDL levels, risk for coronary artery disease (CAD), ... | Cholesteryl Ester Transfer Protein (CETP) Polymorphisms Affect mRNA Splicing, HDL Levels, and Sex-Dependent Cardiovascular Risk | 3 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.00790712796151638,
-0.20218199491500854,
-0.40937602519989014,
0.37407273054122925,
0.5398167371749878,
-0.41981855034828186,
0.61316978931427,
0.8773151636123657,
0.013471318408846855,
0.014370402321219444,
-0.5791866779327393,
0.3319357633590698,
-0.9383488893508911,
0.2624350488185882... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 石油価格はアジアでの取引中... | Yes | 1 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.2328006625175476,
-0.41660594940185547,
-0.03561890125274658,
-0.01772811822593212,
-0.1317591518163681,
-0.3923490345478058,
0.44663527607917786,
0.6570707559585571,
-0.38269999623298645,
0.10592494159936905,
-0.12095516920089722,
-0.505484938621521,
-0.6062396764755249,
0.033296585083... |
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