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 |
|---|---|---|---|---|---|---|
Definition: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '3 c. sliced, cooked squash', '1 large onion', '1/2 stick butter', '3 pieces toast, crumbled', '3 beaten eggs', '1/2 lb. grated sharp cheese', '1 c. cream of mushroom soup', 'salt a... | Squash Casserole | 2 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.6261327266693115,
0.7903269529342651,
-0.38580256700515747,
0.01354982890188694,
0.13616812229156494,
0.19831596314907074,
0.8591703176498413,
0.5854458212852478,
-0.20858651399612427,
-0.015096232295036316,
0.21806275844573975,
0.5526663661003113,
-0.49723660945892334,
-0.15655973553657... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
بی سروصدا ، شبیه همان به عنوان مثال ، تفتیش بدنی مظنونان ، که در گذر زمان به امری متداول تبدیل شده است. | בעורמה, בדיוק בדרך שבה עצור-וחפש (שיטת שיטור שנחשבית לגזענית), למשל, הפכה במשך הזמן למשחק מספרים בירוקרטי. | 0 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-1.0183613300323486,
0.7232335805892944,
-0.6087362766265869,
0.5292063355445862,
-0.2790183424949646,
1.0809707641601562,
0.8958198428153992,
0.03847573697566986,
1.1305112838745117,
-0.12441690266132355,
-1.3381321430206299,
0.10342070460319519,
-0.43160173296928406,
0.2279643416404724,
... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Water vapor cooling releases heat energy. | 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.26052993535995483,
1.041266918182373,
-0.7309077382087708,
0.0035465536639094353,
-0.3288058638572693,
-1.1926615238189697,
-0.46540623903274536,
1.5071134567260742,
-0.623847484588623,
0.05638983100652695,
-1.0263336896896362,
0.14616698026657104,
-0.3887953460216522,
0.1985917389392852... |
Definition: In this task, you are provided with an article of the legal acts. Your task is to classify it into three categories (Regulation, Decision and Directive) based on its content: 1) Regulation is a binding legislative act that must be applied in its entirety on a set date across all the member states (European ... | Directive | 2 | NIv2 | task744_eurlex_classification | zs_opt | [
0.46341001987457275,
0.4441021978855133,
0.1080487072467804,
0.14567594230175018,
0.3625914454460144,
0.04286967217922211,
-0.19337502121925354,
0.761208176612854,
-0.010885472409427166,
0.19856902956962585,
-0.07620754837989807,
0.44755586981773376,
-0.423664391040802,
-0.0364239066839218... |
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..
Q: Context: Aubrey had so much trouble with their car. They decided to buy a new one.
Answer: test drive a car... | What does Aubrey need to do before this? | 9 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.08364664018154144,
0.5703651905059814,
0.0048592230305075645,
-0.2573534846305847,
-0.13033583760261536,
-0.14071977138519287,
0.4109320640563965,
0.4791427552700043,
1.3101837635040283,
0.22347363829612732,
-0.27176809310913086,
-0.27765128016471863,
0.03876110166311264,
0.231592953205... |
Detailed Instructions: 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 -
'.': ... | PRON | 8 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.4518175423145294,
0.1132136732339859,
-0.2233666181564331,
0.2750319838523865,
-0.00524501409381628,
-0.6389967203140259,
0.7095586657524109,
0.6773582696914673,
-0.37827083468437195,
0.02070787362754345,
-0.5106440186500549,
0.27759891748428345,
-0.6796666979789734,
0.09850555658340454,... |
Detailed Instructions: 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 form " A >causes/enables> B". Try to use phrases and sent... | She makes 3 dozen >Causes/Enables> She sits them on the table | 8 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.18647751212120056,
0.3303508162498474,
0.21059563755989075,
-0.10811538994312286,
-0.5510443449020386,
-0.498821884393692,
0.08217588067054749,
1.2539079189300537,
-0.08905404061079025,
-0.2147071808576584,
-0.08997969329357147,
0.3096557557582855,
0.16483096778392792,
-0.41395729780197... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
--------
Question: I purchased this product to lure black bear to the bait pile. The product has no sweet smell ... | will never buy a different brand again
| 7 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.026461102068424225,
0.2598874568939209,
0.10400757193565369,
-0.5732625722885132,
0.29495251178741455,
-0.6900055408477783,
-0.06411360204219818,
0.397727370262146,
-0.7737395167350769,
0.5896500945091248,
-0.20651566982269287,
-0.2790675163269043,
-1.3021503686904907,
-0.362635761499404... |
You will be given a definition of a task first, then some input of the task.
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.
What are some unexpected things first-time visitors to Singapore notice?
Output: | What are some unexpected things first-time visitors to Australia notice? | 1 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.463666707277298,
0.7558643817901611,
0.07734617590904236,
0.03754410892724991,
0.16645576059818268,
-0.8391918540000916,
0.6978909969329834,
0.02443038672208786,
0.0038957567885518074,
0.6616142988204956,
-0.2592952251434326,
0.23118406534194946,
-0.31190040707588196,
0.1988864541053772... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note... | ac | 8 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.021316444501280785,
0.7432457804679871,
-0.2369605302810669,
0.27805763483047485,
-0.5786967873573303,
-0.14132122695446014,
0.8248575925827026,
0.7241716384887695,
-0.029985615983605385,
0.40051424503326416,
-0.5326589941978455,
0.02461804449558258,
-0.1325426697731018,
-0.184396773576... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Problem:Así que lo que hacen, veamos, es algo como eso, así que lo que hacen es captar aspectos de ese movimiento y generarlos en una frase.
Solution: | Oni po prostu przechwycają fragmenty moich ruchów Oni po prostu przechwycają fragmenty moich ruchów i tworzą frazę. | 8 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
0.362265408039093,
1.488094687461853,
-0.15233047306537628,
0.042928799986839294,
-0.062642402946949,
0.003279824508354068,
0.2575804591178894,
0.44500744342803955,
-0.12468790262937546,
-0.03260885924100876,
-0.3198876976966858,
-0.12634849548339844,
0.25787872076034546,
-0.13270130753517... |
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 | task1213_atomic_classification_desires | fs_opt | [
-0.08497554063796997,
0.19020414352416992,
0.5018181800842285,
-0.4129902720451355,
-0.6521462202072144,
-0.8348959684371948,
1.1675479412078857,
0.3259647488594055,
-0.4843687117099762,
-0.4865977168083191,
-0.4685312807559967,
-0.18021923303604126,
-0.484287291765213,
0.19368797540664673... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution: در جنوب غرب نیجریه ، ... | این رویایی است که توسط هیرام بینگهام شروع شد ، اما ما آن را به کل جهان گسترش دادیم ، اکتشاف باستان شناسی را امکان پذیرتر و جامع تر کردیم ، در مقیاسی که حقیقتا در گذشته امکان پذیر نبود. | 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.5563767552375793,
0.26653778553009033,
0.4209832549095154,
-0.5709677934646606,
-0.0922326147556305,
-0.4507327079772949,
0.9579592943191528,
0.15114140510559082,
-0.1168207973241806,
0.1710239201784134,
-0.9298403263092041,
0.06688456237316132,
-1.0745362043380737,
0.42074912786483765,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio gra... | وأحد الأسئلة الشائعة ، بالطبع ، هو إذا ذهبنا إلى هناك ووجدنا حياةً تحت السطح ، وأنا متأكدةٌ من ذلك ، فهل تلك بداية نشأة حياةٍ جديدة ؟ | 0 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.6646016240119934,
0.16126582026481628,
-0.18898528814315796,
-0.7099183797836304,
-0.28172916173934937,
-0.34684085845947266,
0.8174409866333008,
0.5981778502464294,
0.18009555339813232,
-0.13728725910186768,
-0.29737597703933716,
0.19598893821239471,
-0.683709979057312,
0.5987067222595... |
instruction:
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
question:
Oom
answer:
m
question:
IyiQ
answer:
yQ
question:
beuaup
answer:
| bp
| 9 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.558285653591156,
1.0788180828094482,
-0.22546334564685822,
-0.8796937465667725,
0.48728516697883606,
-1.1152839660644531,
0.4676516652107239,
0.3825085163116455,
0.40412628650665283,
-0.3121810257434845,
-0.3473929464817047,
-0.0453253909945488,
0.05868885666131973,
-0.7849029898643494,
... |
Detailed Instructions: In this task, you are given a question. You have to answer the question based on your information.
See one example below:
Problem: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution: William Egbert
Explanation: This is a good example... | Lanoe Hawker | 4 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.6780376434326172,
0.4360535144805908,
0.38388270139694214,
-0.3592136800289154,
0.1357741355895996,
0.38549238443374634,
0.46523261070251465,
0.08176308870315552,
0.7980243563652039,
0.2575913369655609,
0.08598565310239792,
0.2638028860092163,
-0.7653946876525879,
0.05910089984536171,
... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Solution: Art Adj N N V N Adv Adj Conj N Prep Art N Prep N Punc Art Num Prep Art Adj N V N Adv Prep Pron N Conj N Punc N N Punc Prep Pron Adj N V Punc | 5 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.2317517250776291,
0.7892167568206787,
-0.3273792266845703,
0.01078295148909092,
-0.17368873953819275,
-0.029955048114061356,
0.19446402788162231,
0.16039957106113434,
0.37829697132110596,
-0.12921541929244995,
-0.11799997091293335,
0.67075514793396,
-0.11441567540168762,
0.05091425776481... |
Given the task definition, example input & output, solve the new input case.
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be... | How do I create a web page? | 1 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-0.630391001701355,
0.6411908268928528,
-0.4696570932865143,
0.1594836413860321,
0.5040771961212158,
0.37153851985931396,
0.43042775988578796,
0.787149965763092,
-0.09493866562843323,
0.6287801861763,
-0.07884533703327179,
0.6283624172210693,
0.051575083285570145,
-0.06853529810905457,
0... |
You will be given a definition of a task first, then some input of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without ... | butterfly fly high on a soft blue sky the bird sing they fly with their colorful wing there be a lot of love there be lot of angel up above music be good just like my childhood | 1 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.8109127283096313,
1.4905633926391602,
-0.16719570755958557,
-0.30396872758865356,
-0.4482302665710449,
-0.6279985904693604,
0.4210488200187683,
0.5564067363739014,
0.07178125530481339,
-0.1435694545507431,
-0.7750282287597656,
0.47589102387428284,
-0.3976803719997406,
-0.179018676280975... |
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.
[EX Q]: Text: this was during christmas break
yeah this is a fucked up tifu (pun intended) i’m 16, my m... | body oils disintegrated lighting cable, broke cable. can't charge phone.
| 6 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.5409713387489319,
0.4273926019668579,
-0.24669989943504333,
-0.7980164885520935,
0.55367112159729,
0.023404467850923538,
0.773550808429718,
0.8462129235267639,
0.03639362007379532,
-0.03435695916414261,
-0.010951327160000801,
0.5636812448501587,
-0.8886699676513672,
-0.1014251857995987,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 7 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.6380020976066589,
0.40951165556907654,
0.3115164339542389,
-0.0949307307600975,
-0.6738476753234863,
-1.3983912467956543,
0.5736188888549805,
0.3145204186439514,
-0.6273952722549438,
-0.13728788495063782,
-0.489592581987381,
-0.7693315744400024,
-0.4150676131248474,
0.2983812391757965,
... |
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 that situation having read the premise. The update provides additional inform... | weakener
| 6 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.6976924538612366,
0.4663585126399994,
-0.49611687660217285,
-0.03162246197462082,
0.006190955638885498,
-1.2535134553909302,
0.9852739572525024,
1.3006956577301025,
0.08449281752109528,
-0.47142988443374634,
-0.9559296369552612,
0.04562022164463997,
-1.1195182800292969,
-0.17233997583389... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Kabul | 4 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.3372897505760193,
1.4503728151321411,
-0.47282910346984863,
-0.4093698263168335,
-0.4359607398509979,
-0.46770989894866943,
0.4865245223045349,
0.9510172605514526,
0.4799879193305969,
0.4583611488342285,
-0.5379253625869751,
0.6000788807868958,
-0.7556009888648987,
0.5383044481277466,
... |
In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
Q: 公诉机关指控：2015年9月起，被告人肖某从非正规渠道购入“勃乐”、“黑马”、“挑战”、“男子汉”等产品，在其经营的位于深圳市南山区西丽塘朗村XXX号102房的无名诊所内销售。2015年10月20日，肖某在上述诊所内以人民币110元的价格向周某出售“黑马”1粒。随后，周某所购产品被公安机关扣押。2015年10月23日14时许，肖某在该诊所内被抓获，其待出售的... | 郑某某
****
| 4 | NIv2 | task1666_cail2018_answer_generation | fs_opt | [
-0.11713863909244537,
-0.06597234308719635,
-0.40670323371887207,
-0.3720828592777252,
0.14039194583892822,
0.3433661162853241,
0.24727101624011993,
0.9999828338623047,
-0.3671603202819824,
-0.03006374090909958,
-0.3988172709941864,
1.071677803993225,
-0.6229254603385925,
-0.08834922313690... |
Teacher:In this task, you are to Translate German text to English
Teacher: Now, understand the problem? Solve this instance: Die Fritieranlage besteht aus Dosiereinrichtung und Backwanne mit Abschoepfvorrichtung.
Student: | The fryer consists of dosing device and baking pan with Abschoepfvorrichtung. | 6 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
0.5454447269439697,
-0.18434381484985352,
-0.5087619423866272,
-0.14419561624526978,
0.1904192715883255,
0.1932903528213501,
0.5142700672149658,
0.8021998405456543,
0.5068095326423645,
0.250588059425354,
-0.12332433462142944,
-0.9352550506591797,
-0.7922790050506592,
-0.032747458666563034,... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Example: Ok, the national dri... | Solution: assistant | 5 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
0.051260001957416534,
0.3098459243774414,
-0.3385712504386902,
-0.9258313775062561,
-0.4068279564380646,
-0.11542053520679474,
1.3961889743804932,
-0.7541477084159851,
0.8019727468490601,
-0.3318523168563843,
-0.042343370616436005,
0.07067527621984482,
-0.27343571186065674,
0.6380519866943... |
Instructions: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Input: Kolawọle Ajeyẹmi: Ó yẹ ká ro ọjọ́ ìkúnlẹ̀ bímọ mọ́ aya lára lásìkò tó bá ṣẹ̀ wá
Output: | Entertainment | 3 | NIv2 | task612_yorubabbc_classification | zs_opt | [
0.10022512823343277,
0.5138859748840332,
-0.35379552841186523,
0.5086431503295898,
-0.2408151924610138,
-0.5404841899871826,
-0.3473731279373169,
-0.38858965039253235,
0.11827325820922852,
-0.025296740233898163,
-0.02717616595327854,
0.03758087009191513,
-0.8715295195579529,
0.290264427661... |
TASK DEFINITION: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
PROBLEM: what can you tell me about the falkland islands?
The Falkland Islands are a group of islands in the South Atlantic Ocean, off the coast of South America. The capital is Stanley on... | Minnesota
| 8 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.8507307767868042,
-0.04193895310163498,
-0.8853219747543335,
-0.29405078291893005,
0.5800379514694214,
-0.6020644903182983,
0.818627119064331,
0.3143394887447357,
-0.5408852696418762,
0.2608382999897003,
0.12065859884023666,
0.4760042130947113,
-0.9259228706359863,
0.2374134510755539,
... |
Detailed Instructions: 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 given review and its summary match, otherwise generate "False".
Problem:Reviews: Almost too small (I ... | False | 8 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.3916701078414917,
0.5184887647628784,
-0.23966515064239502,
-0.9400832056999207,
-0.2220151424407959,
0.3878050446510315,
0.3459729552268982,
0.6758410930633545,
-0.1882874071598053,
0.29615318775177,
-0.25829461216926575,
0.0750584825873375,
-0.25309666991233826,
-0.08164069056510925,
... |
TASK DEFINITION: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: アトキンソン警察は、「反則」はそこに関与していなかったと言い、原因は検死官によりまだ調査中だった。
SOLUTION: Polisi Atkinson telah menyatakan bahwa tidak ada "p... | Banyak dari program latihan ini, khususnya pada perusahaan-perusahaan besar, mengklaim bahwa ini murni psikologis, bertujuan untuk meningkatkan produktivitas dan moralitas dan loyalitas.
| 8 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.14007100462913513,
-0.21621163189411163,
-0.1381244659423828,
-0.4866507053375244,
-0.21897295117378235,
-0.020676543936133385,
0.2800939083099365,
0.021815646439790726,
0.20345042645931244,
0.05263502150774002,
-0.3419038653373718,
0.3967825174331665,
-0.7943458557128906,
-0.1810453683... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: 'Forget to salute,' trash the other guy for the 'bad war' (during Cairo II), sym... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.6791540384292603,
0.7008417844772339,
0.7438454627990723,
0.09776093065738678,
-0.48581159114837646,
-0.8774445056915283,
0.5062819123268127,
0.41578540205955505,
0.4567294120788574,
0.29952046275138855,
-0.322842001914978,
0.0604439377784729,
-0.7978416681289673,
-0.39963072538375854,
... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Example: 1968 winter olympics
Example solution: Which Frenchman won the Alpine triple-crown at the 1968 Winter Olympics?
Example explanation: Both these questions ask a specific fact as the answer. So t... | Solution: Which band had a 2005 hit with the anthemic track Best of You? | 5 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.5564599633216858,
-0.18781927227973938,
-0.6851207613945007,
0.08634623885154724,
0.03273370862007141,
0.05289643257856369,
0.6275327205657959,
0.02009490691125393,
0.05098694562911987,
-0.6037040948867798,
-1.1889622211456299,
0.26060158014297485,
-0.9042809009552002,
0.0397222414612770... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: ששת אלפים חוות דעת כל שבוע לימודים שמתחרות על הכבוד להיות חוות הדעת של השבוע.
Output: | Seiscentas críticas por semana de trabalho em competição para serem a melhor da semana. | 2 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-1.2934527397155762,
0.45264607667922974,
0.1979951113462448,
-0.5193096995353699,
-0.6698053479194641,
-0.42713871598243713,
-0.21129104495048523,
0.7465517520904541,
0.5072816014289856,
-0.6830877065658569,
-0.5708473324775696,
-0.046103354543447495,
-0.8482420444488525,
0.17949467897415... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | b | 6 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.7307721972465515,
0.3592935800552368,
-0.3627803325653076,
-0.3144740164279938,
0.5312491655349731,
-0.3812422752380371,
1.0998318195343018,
1.1435091495513916,
-0.2794235050678253,
0.12486106157302856,
-0.11374971270561218,
-0.11441078782081604,
-0.5420328378677368,
0.0997978150844574,
... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: #anywere “@TheCooleyShow: LA = palm trees and great weather
Any were else =... | true | 0 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.271086573600769,
0.6457407474517822,
0.7197302579879761,
0.4567981958389282,
-0.7796316146850586,
-1.1401699781417847,
-0.09010845422744751,
0.7342281341552734,
0.1947883814573288,
0.3385426998138428,
-0.47228339314460754,
-0.18199841678142548,
-0.8386375308036804,
-0.35419219732284546,... |
Detailed Instructions: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
See one example below:
Proble... | first | 4 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.2438206672668457,
0.10436661541461945,
-0.1254706084728241,
-0.11461207270622253,
-0.11723404377698898,
-1.0920108556747437,
0.1755850613117218,
0.6079226136207581,
0.006734547205269337,
0.5076145529747009,
-0.4957369863986969,
-0.9882310032844543,
-0.5766803026199341,
-0.18923491239547... |
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.
Example Input: similar choices need to be made at an eu level .
Example Output: such decisions must be taken at eu level .
Example Input: the ... | ( pursuant to article 27 ( 3 ) ( a ) ) ex 0713 20 00
| 3 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.07245935499668121,
0.9139360189437866,
-0.10856553912162781,
-0.399120569229126,
0.29214906692504883,
-0.42850038409233093,
0.8676654100418091,
0.6307090520858765,
0.15762530267238617,
0.16418138146400452,
-0.02347831055521965,
0.621206521987915,
-1.035986065864563,
0.07151637971401215,
... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
पंतप्रधान नरेंद्र मोदी यांनी जनतेला गुजराती नववर्षाच्या शुभेच्छा दिल्या आहेत. | এক শুভেচ্ছা বার্তায় প্রধানমন্ত্রী বলেছেন, “গুজরাটের সব মানুষকে নববর্ষের শুভেচ্ছা। | 0 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
-0.20298197865486145,
0.6419494152069092,
0.21273870766162872,
-0.33109405636787415,
0.17427048087120056,
-1.102786660194397,
0.695565402507782,
-0.1395873725414276,
-0.04495938867330551,
-0.515525221824646,
-0.910625159740448,
-0.07717682421207428,
-0.19750253856182098,
0.4181856215000152... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
[EX Q]: As the host collects his time. They
[EX A]: dip down under the surface.
[EX Q]: People head over to people. People
[EX A]: are arriving at the shore.
[EX Q]: The kids are doing ... | make up to the boys left.
| 6 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
-0.3149471879005432,
0.8095057010650635,
-0.9538475871086121,
-0.4550620913505554,
-0.5437717437744141,
-0.17696812748908997,
-0.34590452909469604,
0.3670228123664856,
0.45050114393234253,
-0.5747528076171875,
-0.09933836758136749,
0.3234633207321167,
-0.42170214653015137,
-0.9075213074684... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements ap... | a, r, r, s, I, d, 4365, 5151, 3025, 4119, 6777 | 9 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.15537086129188538,
0.8168829679489136,
-0.012182245962321758,
-0.6792641878128052,
-0.39714890718460083,
0.02049635723233223,
0.7552313208580017,
0.189367413520813,
-0.3107682466506958,
0.6054230332374573,
-0.5254631042480469,
0.4010002017021179,
-0.11000636219978333,
0.1660158932209015,... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [748, 4032, -840, 200, 0, 0, 40, 0, 6688]
| 6 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
-0.13730183243751526,
0.004214681219309568,
-1.078319787979126,
-0.042736802250146866,
0.0850861594080925,
-0.42527586221694946,
0.9444636106491089,
0.8520736694335938,
-0.6630535125732422,
-0.4084656834602356,
-0.9143528342247009,
0.4116426706314087,
-0.7394329309463501,
-0.51512491703033... |
instruction:
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
question:
Given Relationship: 'recognize independence of', Sentence: 'Russia recognized August 26 independence of South Ossetia and Abkhazia and then... | director
| 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
0.0818261206150055,
1.3086539506912231,
-0.3188689649105072,
-0.6739242076873779,
-0.5814125537872314,
-1.1335521936416626,
0.4036007523536682,
0.6533486843109131,
0.041162170469760895,
-0.4071536362171173,
-0.6239683032035828,
0.3136764168739319,
-0.5062806606292725,
0.06626345217227936,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You sh... | When was the team founded that Ferdinand signed with on August 31 2012? | 1 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.6167071461677551,
0.6661922335624695,
-0.6878262758255005,
-0.48466184735298157,
0.635411262512207,
-0.253070592880249,
0.4552396535873413,
0.43490689992904663,
-0.05997180938720703,
0.09780071675777435,
0.032967809587717056,
0.5948832035064697,
-1.0734846591949463,
-0.15052014589309692,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 5 | NIv2 | task1216_atomic_classification_causes | fs_opt | [
0.06896235048770905,
0.38619357347488403,
0.4493977129459381,
-0.40648627281188965,
-0.5785788893699646,
-0.4524778127670288,
1.1382644176483154,
0.25104618072509766,
-0.4859493374824524,
-0.47966066002845764,
-0.4200114607810974,
-0.35807910561561584,
-0.8031800985336304,
0.19440306723117... |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
ز مین سے فضا میں مار کرنے والی درمیانی رینج کی میزائل کا تجربہ
| মাঝারি পাল্লার এই ক্ষেপণাস্ত্রের সফল পরীক্ষা সংশ্লিষ্ট সব পক্ষের বিগত কয়েক বছরের নিরলস প্রচেষ্টার প্রতিফলন। | 5 | NIv2 | task1070_pib_translation_urdu_bengali | zs_opt | [
-1.0335984230041504,
1.4022287130355835,
0.00010089011630043387,
-0.40435659885406494,
0.07883277535438538,
0.19942735135555267,
0.5774851441383362,
-0.4177480936050415,
-0.0305534265935421,
-0.6475828886032104,
-1.2536733150482178,
0.30248650908470154,
-0.36794742941856384,
0.142069444060... |
Detailed Instructions: In this task, you are given a sentence in English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
Problem:English: Why are we only now considering a pan-Canadian framework with that focus?
French: Quel rô... | no | 8 | NIv2 | task831_giga_fren_classification | zs_opt | [
-0.7131980657577515,
0.8140515089035034,
0.6672937870025635,
-0.6645386219024658,
0.39647096395492554,
-0.550765872001648,
0.8973249793052673,
0.4925960302352905,
0.14029838144779205,
0.4327263832092285,
-0.25201594829559326,
0.07432068884372711,
-0.3542580008506775,
0.29378485679626465,
... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | count | 3 | NIv2 | task212_logic2text_classification | fs_opt | [
0.18128067255020142,
-0.3100566267967224,
-0.42382383346557617,
0.2453862726688385,
0.43911054730415344,
-0.5142934322357178,
0.7159498929977417,
0.662891685962677,
0.27442893385887146,
0.032194629311561584,
0.0039248159155249596,
0.1165444403886795,
-0.020073147490620613,
0.45591658353805... |
You will be given a definition of a task first, then some input of the task.
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 ... | True | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.16390642523765564,
0.37751051783561707,
-0.05354709178209305,
-0.30435147881507874,
-0.4014335870742798,
-0.38747888803482056,
0.5763047933578491,
0.5221402645111084,
-0.16370558738708496,
-0.24743890762329102,
-0.3114396631717682,
0.4109063148498535,
-0.6064507961273193,
-0.26996418833... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Q: Im the only member of the House of Rep... | elections
****
| 4 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.22105887532234192,
0.7889078259468079,
-0.05107875540852547,
0.121483214199543,
-0.32189998030662537,
-0.3855154514312744,
0.11182820796966553,
0.22052602469921112,
0.030464056879281998,
0.19891491532325745,
-0.30862438678741455,
0.4300484359264374,
-0.2654717266559601,
-0.2946682870388... |
Detailed Instructions: This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Der allgemeinen Auffassun... | De acuerdo con la opinión generalmente aceptada de muchos activistas ambientales, primero deberíamos hacer todo lo que podamos para mitigar el calentamiento global, y recién entonces concentrarnos en estrategias de adaptación. | 9 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.21629056334495544,
0.6857393980026245,
-0.01726933941245079,
-0.23371165990829468,
-0.3613087832927704,
-1.2503910064697266,
-0.12570422887802124,
0.7695027589797974,
0.6627918481826782,
-0.293697714805603,
-0.0492880754172802,
0.3386761546134949,
-0.37538930773735046,
-0.21880385279655... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | holding that prejudgment interest ordinarily should be awarded on damages pursuant to claims under the copyright act of 1909 17 usc 1 et seq 1976 ed superceded by the copyright act of 1976 17 usc 101 et seq | 9 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
-0.03771258518099785,
0.6178897023200989,
-0.4444497227668762,
0.11869671195745468,
0.2932793200016022,
-0.5645384788513184,
0.17744866013526917,
1.0462102890014648,
0.013349674642086029,
-0.3735901117324829,
0.01625397987663746,
0.15259981155395508,
-0.33734434843063354,
-0.15783081948757... |
Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: xname is a high priced and high rated coffee shop. Loc... | eattype[coffee shop], cuisine[Fast Food], price[more than £30] | 3 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.7959402203559875,
0.12167700380086899,
-0.3890572190284729,
-0.6351240873336792,
-0.45634880661964417,
0.8684679269790649,
0.5756708979606628,
0.58613121509552,
0.5116478204727173,
-0.296757310628891,
0.49746042490005493,
-0.7490910291671753,
-0.1693863868713379,
0.1783125400543213,
0... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Let me give you an example: Bob took the woman from work a cake
The answer to this example ... | Michael yielded some peace to a man | 8 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.2869170010089874,
0.9031226634979248,
-0.06443925946950912,
-0.5070154666900635,
0.20074279606342316,
-0.8797824382781982,
0.2136138677597046,
0.1836107075214386,
0.373158723115921,
-0.43704015016555786,
-0.3937312960624695,
0.0760752409696579,
-0.2888614237308502,
0.08257896453142166,
... |
TASK DEFINITION: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
PROBLEM: Unipolar motors have _ coils and are likely to have five or six wires attached.
SOLUTION: four
PROBLEM: Triaxial fabric is woven with _ sets of yarn whose intersections form equil... | seven
| 8 | NIv2 | task672_nummersense | fs_opt | [
-0.1707211434841156,
0.174135223031044,
-0.35316354036331177,
-0.00949983112514019,
-0.23080718517303467,
0.10178990662097931,
0.6091906428337097,
0.9146926403045654,
0.0814981684088707,
-0.07384572178125381,
-0.464671790599823,
0.08728545159101486,
0.3976518511772156,
0.15628056228160858,... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sente... | Liam wants a new bed for his bedroom >Causes> Liam feel(s) desire | 6 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.24660122394561768,
0.1335701048374176,
0.05683906376361847,
-0.6949623823165894,
0.0060098739340901375,
-0.9444893598556519,
-0.3327013850212097,
0.5417035818099976,
-0.5447195768356323,
-0.012206580489873886,
-0.006428210996091366,
0.6658192873001099,
-0.5725001096725464,
-0.3692003488... |
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 true.
Q: You a... | You are open to find an atmosphere in a struggle . | 4 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.22720040380954742,
0.6268529891967773,
-0.31293824315071106,
0.17920942604541779,
0.07321023941040039,
-0.7118035554885864,
-0.14742887020111084,
0.49990493059158325,
-0.15012606978416443,
-0.5256932377815247,
-0.3443312644958496,
-0.41099727153778076,
-0.7989579439163208,
0.40340307354... |
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 inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (includ... | 8826 | 0 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.015309801325201988,
0.3467387557029724,
-0.7144862413406372,
-0.8348940014839172,
0.02092287875711918,
0.145335853099823,
0.3277878165245056,
0.31850552558898926,
-0.27601778507232666,
-0.3653433918952942,
-0.9045058488845825,
0.18698441982269287,
0.18416789174079895,
-0.0207359008491039... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | No
| 0 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.7823547124862671,
0.017447788268327713,
-0.11383536458015442,
0.8928606510162354,
0.35009557008743286,
-0.529463529586792,
0.43701523542404175,
0.7338757514953613,
0.21233385801315308,
0.27631139755249023,
-0.3184128701686859,
0.023309756070375443,
-0.5095349550247192,
-0.80649423599243... |
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 ... | Per què ha estat Adriana Lecouvreur una de les òperes preferides des de la seva estrena?
| 6 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.9152109622955322,
0.9746197462081909,
-0.8458375930786133,
0.4996533989906311,
-0.6615265011787415,
0.07450595498085022,
0.6944887638092041,
0.6863001585006714,
-0.0025385443586856127,
0.4445367157459259,
-0.42822620272636414,
0.5985118746757507,
-0.10955848544836044,
-0.0760762840509414... |
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 deter... | Yes
| 6 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.5649842023849487,
-0.47717007994651794,
0.15817181766033173,
-0.11544293165206909,
-0.06291258335113525,
-1.34482741355896,
1.3662129640579224,
1.0757572650909424,
-0.9136817455291748,
-0.3081572353839874,
-0.5997429490089417,
-0.34666916728019714,
-0.6256863474845886,
0.0087112113833427... |
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 | task1215_atomic_classification_capableof | fs_opt | [
0.7044028043746948,
0.11956751346588135,
0.3096184730529785,
0.11323434114456177,
-0.3336350917816162,
-0.9485543370246887,
0.8771582245826721,
0.3716343641281128,
0.2110687643289566,
-0.34368932247161865,
-1.0446579456329346,
0.0624154731631279,
-0.8307806849479675,
-0.006991300731897354,... |
Instructions: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Input: Sentence1: There were six puppies running around my fo... | Yes | 3 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.5105269551277161,
0.06495735794305801,
0.3882719576358795,
0.11556559801101685,
-0.44017869234085083,
-0.23332637548446655,
0.17053194344043732,
0.6517902612686157,
0.27191466093063354,
-0.08149348199367523,
-0.44139331579208374,
-0.10721675306558609,
-0.3723953366279602,
-0.02678808756... |
In this task, you need to provide the correct option for a given problem from the provided options.
Problem: divide $ 600 among a , b in the ratio 1 : 2 . how many $ that a get ?
Options: a ) $ 50 , b ) $ 500 , c ) $ 150 , d ) $ 250 , e ) $ 600 | e | 0 | NIv2 | task1421_mathqa_other | zs_opt | [
0.07695626467466354,
0.6940788626670837,
-0.46024543046951294,
0.27207598090171814,
-0.7050421237945557,
0.13057026267051697,
0.5496628880500793,
1.4382853507995605,
0.45899298787117004,
-0.2754009962081909,
0.33474090695381165,
0.2262389212846756,
0.30295872688293457,
-0.8064857721328735,... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character.... | D | 1 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.6054853796958923,
0.4750085175037384,
0.17517004907131195,
-0.8196628093719482,
0.5117315649986267,
-0.09525242447853088,
0.6001514196395874,
0.43917351961135864,
0.49443519115448,
-0.1289813071489334,
-0.15724745392799377,
-0.3054741621017456,
0.09554365277290344,
-0.17353306710720062,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: List of Colorado Rockies seasons -- The Colorado Rockies... | has the colorado rockies ever won their division | 6 | NIv2 | task1660_super_glue_question_generation | zs_opt | [
-0.19905366003513336,
0.12142333388328552,
-0.4956201910972595,
0.2488575577735901,
-0.24665771424770355,
-0.5753377676010132,
0.3875967562198639,
0.13729096949100494,
-0.19325010478496552,
-0.12734435498714447,
0.06825118511915207,
0.19259026646614075,
-0.34030574560165405,
-0.36208999156... |
Categorize the comment on the basis of insult. If the comment is insulting output Yes, otherwise output No.
I'm tired of reading from various prominent state leaders, not the legislators, that we need "new revenue." OK, Fran, what new revenue? You've served in plenty of high caliber appointed position inside and out... | No | 0 | NIv2 | task1724_civil_comments_insult_classification | zs_opt | [
-0.7267146110534668,
0.5975102782249451,
-0.5001828074455261,
-0.2742462456226349,
-0.5174654126167297,
-0.5272380113601685,
0.42392924427986145,
0.7109410762786865,
0.4115446209907532,
0.2560757100582123,
0.01824447512626648,
-0.4691486358642578,
-0.28266799449920654,
-0.08013218641281128... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Teacher: Now, understand the problem? Solve this instance: Pers... | 1 | 6 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.18650037050247192,
-0.10446039587259293,
-0.06957384198904037,
-0.258833110332489,
0.26190656423568726,
-0.4111257791519165,
0.20838312804698944,
0.5685310363769531,
-0.14940214157104492,
0.07724844664335251,
-0.4690459370613098,
-0.6409055590629578,
-0.30200719833374023,
-0.39611762762... |
Definition: A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: இந்நிகழ்வுக்காக நாற்பதுக்கும் மேற்பட்ட வெளிநாடுகளைச் சேர்ந்த அதிகாரிகள் வந்திருக்கிறார்கள்.
Output: | 50 ല് കൂടുതല് രാജ്യങ്ങള് അവരുടെ ഔദ്യോഗിക പ്രതിനിധികളെ അയച്ചിരിക്കുന്നു. | 2 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
0.6061165928840637,
0.629368245601654,
-0.132462739944458,
0.2683558166027069,
0.02703697793185711,
-0.32760244607925415,
-0.09821836650371552,
0.3926876187324524,
-0.04309115186333656,
0.307664692401886,
-0.6621224880218506,
0.49907761812210083,
-1.0400530099868774,
0.5502111911773682,
... |
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ... | Àgbàká nigbà ń gba ọ̀pẹ.
| 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
0.48012784123420715,
0.4443798065185547,
-0.24913546442985535,
0.2464924305677414,
0.16098353266716003,
-0.9508471488952637,
0.12613049149513245,
0.6999334096908569,
-0.09963786602020264,
-0.4565696716308594,
-0.20354676246643066,
0.38213759660720825,
-0.606413722038269,
-0.013741828501224... |
Q: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Context: Madonna come party with us - I'... | yes | 7 | NIv2 | task242_tweetqa_classification | zs_opt | [
0.1212240606546402,
0.49772751331329346,
-0.006023012567311525,
0.7443174719810486,
-0.0486983098089695,
-0.5148250460624695,
0.07675139605998993,
0.6397141814231873,
0.36314719915390015,
0.37754786014556885,
-0.1777854561805725,
0.11067505180835724,
-0.6079009771347046,
-0.302053511142730... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
土曜日の朝、警察はイーストロンドンの地下鉄のマイルエンド駅をしばらく遮断した。
Ex Output:
Polisi sempat mengepung stasiun kereta bawah tanah Mile-End di London Timur... | Petugas Berita Internasional di Wapping juga dicari hari ni sebagai bagian dari penyelidikan.
| 1 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
0.09538128972053528,
-0.06375071406364441,
-0.44326168298721313,
0.014501206576824188,
-0.10855356603860855,
-0.47141289710998535,
-0.12910130620002747,
-0.21075014770030975,
-0.09040480852127075,
-0.09102603793144226,
-0.8218021988868713,
0.7123219966888428,
-0.47942906618118286,
-0.03238... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | what is the color of the other object the same size as the green sphere? | 4 | NIv2 | task184_break_generate_question | zs_opt | [
0.8566789031028748,
-0.4188160002231598,
-0.6703842282295227,
0.3327655792236328,
0.3457978069782257,
-0.033108800649642944,
0.8962751626968384,
0.5800882577896118,
-0.4811379611492157,
0.7530822157859802,
-0.4291224479675293,
0.3252526521682739,
0.278933048248291,
-0.08862565457820892,
... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
[EX Q]: Bottom trawling should simply be outlawed; it would ... | Ces agriculteurs parviendraient alors, non seulement à nourrir leur famille, mais à tirer de la vente de leurs produits un bénéfice qu’ils pourraient épargner.
| 6 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.44606223702430725,
0.2681918144226074,
-0.10058866441249847,
-0.2719622254371643,
0.1741606593132019,
-0.02419484406709671,
1.004379153251648,
0.6379417777061462,
0.04784655570983887,
0.23273691534996033,
-0.45905837416648865,
-0.11590713262557983,
-0.05831253528594971,
-0.3877089917659... |
Given the task definition and input, reply with output. 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: Bergwikによると、KallaFaktaでランドマークエデュケー... | Yes | 5 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.7995553016662598,
0.4370826184749603,
0.023723062127828598,
-0.5535317659378052,
-0.0786920040845871,
-0.5658687353134155,
0.5069079399108887,
0.14128252863883972,
-0.41072380542755127,
-0.9315963983535767,
-0.039760928601026535,
0.45929229259490967,
-1.0629398822784424,
0.4376758933067... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: Consider Input: כל המידע הזה הוא חובה. הסינית לא מרשה לי להתעלם ממנו.
Output: Todas estas informações são obrigatórias. A língua chinesa não me deixa ignorá-las.
Input: Consider Input: העושר המהימן ביותר נמצא במע... | Output: Eu tenho olhos castanhos. Os vossos poderão ser azuis ou cinzentos.
| 2 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-0.7522542476654053,
0.8261452913284302,
0.0783115029335022,
-0.2303934395313263,
-0.7794504165649414,
0.29756367206573486,
0.09801202267408371,
0.7784586548805237,
0.826836347579956,
-0.7004352807998657,
-0.8889193534851074,
0.4971609115600586,
-0.671817421913147,
0.3131200075149536,
1.... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 8 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.4967702031135559,
0.6725196838378906,
0.46553924679756165,
-0.21556159853935242,
-0.23050662875175476,
-0.8169735670089722,
1.1230554580688477,
0.16252727806568146,
0.09911958873271942,
-0.5060024261474609,
-0.38994917273521423,
-0.5108801126480103,
-0.5352833271026611,
0.568629980087280... |
Given the task definition and input, reply with output. In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: This study assessed the influence of age on the predictors of bone mineral in men.... | Relationships of body composition, muscular strength and aerobic capacity to bone mineral are stronger in middle-age versus older men. | 5 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.693923830986023,
0.6992044448852539,
-1.0373947620391846,
-0.9004688858985901,
-0.1014951765537262,
-0.4756632149219513,
0.5776276588439941,
0.17410053312778473,
0.7211134433746338,
-0.6687697768211365,
-1.0548975467681885,
0.770724356174469,
-1.1011967658996582,
0.10084353387355804,
1... |
Detailed Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Q: Reviews: I rarely write r... | False | 9 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.8884130120277405,
0.018444206565618515,
-0.15821228921413422,
-0.9755924940109253,
0.17979106307029724,
-0.20044279098510742,
0.4539138972759247,
0.5275378823280334,
0.5204764604568481,
0.2757568657398224,
-0.16190487146377563,
0.6295011639595032,
0.1295604705810547,
-0.0685125291347503... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Input: Consider Input: Passage: Conjunctivitis -- Common bacteria responsible for non-acute bacterial conjunctivitis are ... | Output: 0
| 2 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.7396910190582275,
-0.005200088955461979,
-0.8446761965751648,
0.20912334322929382,
0.49122247099876404,
-0.6589385867118835,
0.42200201749801636,
0.7493830919265747,
0.1461050659418106,
0.2290792614221573,
-0.7094227075576782,
0.5762053728103638,
-0.251661092042923,
-0.34017956256866455,... |
Q: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
تم تنفيذ الحك... | NEGATIVE | 7 | NIv2 | task1414_ajgt_twitter_ar_classification | zs_opt | [
-0.9343217015266418,
-0.27617695927619934,
0.58100426197052,
-0.27607250213623047,
-0.7350274324417114,
-0.3593912124633789,
0.6496688723564148,
0.7152190804481506,
0.27819180488586426,
-0.15129195153713226,
-0.8275202512741089,
-0.10890984535217285,
-0.07900434732437134,
0.044172685593366... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You have to predict the type of conversation sentence given as input. Your predictions can be one among: 'information' if the input statement states a piece of information, 'question' if the input st... | directive | 0 | NIv2 | task1531_daily_dialog_type_classification | fs_opt | [
0.06993065774440765,
0.9489820003509521,
0.16033509373664856,
0.08942583948373795,
0.34642916917800903,
-0.08574909716844559,
0.5617844462394714,
0.43194472789764404,
0.21319347620010376,
-0.3976617753505707,
-0.7556658983230591,
-0.29508447647094727,
0.05633099749684334,
-0.13910992443561... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
"" Nessun uomo è un'isola completamente a sé.
Solution: "" אף אדם אינו אי העומד בפני עצמו.
Reason: The Italian sentence is ... | איכות האוויר השתפרה, והתחלנו לאסוף פרי עונתי שגדל ללא שום מאמץ ממש בחצר האחורית של ביתנו. | 2 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
0.19166474044322968,
0.8271272778511047,
-0.44216787815093994,
-0.5164379477500916,
-0.694730281829834,
-0.9739016890525818,
1.0086030960083008,
0.5643433928489685,
0.026050623506307602,
-0.43588322401046753,
-0.6812812685966492,
0.03223789483308792,
-1.8220019340515137,
0.1975415349006652... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Inpu... | 4117, 8687 | 2 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.5124155282974243,
0.08445216715335846,
-0.6666624546051025,
-0.37018123269081116,
0.10655474662780762,
0.07671529054641724,
0.47018229961395264,
-0.1607658416032791,
0.1648884117603302,
0.021703217178583145,
-0.8068749904632568,
0.24939851462841034,
0.3462159037590027,
-0.21971461176872... |
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 ... | COORD | 4 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.3336246609687805,
0.08436374366283417,
0.14338725805282593,
-0.1611536741256714,
-0.5686819553375244,
0.022886604070663452,
0.4132578372955322,
0.6594029664993286,
0.63006591796875,
-0.4672622084617615,
-1.1293340921401978,
-0.25456103682518005,
-0.19348153471946716,
-0.1789120882749557... |
Detailed Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Problem:నేను సమయంలో కొన్ని విషయాలు చెప్పుకునే...
Solution: | I might say some things during... | 8 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
0.12097001075744629,
0.9819482564926147,
0.597213089466095,
0.5679805278778076,
0.062189310789108276,
-1.0349186658859253,
0.3476962745189667,
0.4583161175251007,
-0.16019926965236664,
-0.3888925611972809,
-0.3019418716430664,
0.2158423662185669,
-1.292572259902954,
0.20015540719032288,
... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two | 3 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.629128098487854,
0.17718234658241272,
0.3048814535140991,
-0.6152744293212891,
-0.18403245508670807,
-1.0737050771713257,
0.48035165667533875,
0.9505426287651062,
-0.3173590898513794,
-0.05214902386069298,
-0.5244379043579102,
-0.009502045810222626,
-1.0296143293380737,
-0.0997114703059... |
Part 1. Definition
You are given a statement written in Tamil. 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 .
Part 2. Example
Statement: எம்.சி.பி வங்கி, 2008 இல், மலேசியாவின் மலாய் வங்கி நிறுவனத்துடன் ஒரு ... | அல்ஜீரியா | 7 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.8225535154342651,
0.4973350465297699,
-0.23405201733112335,
0.07498937845230103,
0.10825370997190475,
-0.33137381076812744,
0.3337250351905823,
0.1953418254852295,
0.41472741961479187,
0.21239838004112244,
-0.022873328998684883,
0.3349818289279938,
-0.1995057314634323,
-0.458510994911193... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
What is the most accepted religious viewpoint?, Context: Modern Baptist churches trace their history to the English Separatist movement in th... | Baptist | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.951380729675293,
0.44416543841362,
-0.27650880813598633,
0.42689043283462524,
-0.5221278071403503,
-0.3988732695579529,
0.21651381254196167,
0.49609696865081787,
1.3190865516662598,
0.1216743215918541,
-0.08072203397750854,
0.7051287293434143,
-0.3610398471355438,
0.20525403320789337,
... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
PROBLEM: Non temos as bases dunha asociación apropiada pra o futuro, e nembargantes, do desexo da xente dunha ética global e unha sociedade global se pode facer.
SOLUTION: Não temos as bases de uma boa... | Na verdade, temos a carta de estímulo — é interessante — a versão da Câmara de Representantes tinha mesmo incluído verbas para esses sistemas de dados, e foi retirado pelo Senado porque há pessoas que se sentem ameaçadas por estas coisas.
| 8 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
0.006832693703472614,
0.7530443668365479,
0.06681221723556519,
-0.7845710515975952,
-0.4418259263038635,
-0.793150782585144,
0.4027111828327179,
0.5494495630264282,
-0.37524545192718506,
0.49689781665802,
-0.5718002319335938,
0.53324294090271,
-0.5748692750930786,
-0.0500265397131443,
-0... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Q: ואז פיניתי את כל האבנים שבתוך הרדיוס ההוא וערמתי ערימה.
A: それからそれを半径とする円内の石を全部拾って積み上げました
****
Q: הדבר המשמעותי ביותר בחיי אף הוא ארע בתקופה זו,
A: また私の人生において最も重要なこともこの時期に起こりました
****
Q: הבעיה היא שלסיפור המסגרת שלנו יש ... | 問題は私たちの「支配的な語り」はこれに対しても答えを用意していることです
****
| 4 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
0.3966858386993408,
0.5607523918151855,
-0.16936543583869934,
0.13100941479206085,
-0.45722049474716187,
-0.9020131826400757,
0.25249093770980835,
-0.36385542154312134,
0.28114110231399536,
-0.8921260833740234,
-0.35808274149894714,
0.5474862456321716,
-1.220463752746582,
0.524697780609130... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: و نظر إليّ و أومأ برأسه و قال "" سوف نكون على ما يرام.
A: E lui mi guardò, mi fece un cenno e poi disse: "" Andrà tutto bene.
****
Q: وقد استاؤا جداً
A: E se la sono presa molto.
****
Q: ان المناخ لا يلعب دوراً في تحديد... | Il clima non ha alcuna influenza;
****
| 4 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
0.9092739224433899,
1.0350685119628906,
-0.279806524515152,
-0.7391688823699951,
-0.6119875907897949,
-0.6528027057647705,
0.5183297395706177,
0.5970995426177979,
0.38955023884773254,
-0.04609560966491699,
-1.065253734588623,
0.28924354910850525,
-0.7901030778884888,
0.36893898248672485,
... |
Given the task definition and input, reply with output. Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
This model is about as simple as one can get. A box with a hard drive in it that stores<br />a multitude of docs, photos, recordings, or whatever you can ... | Good Storage: 1 TB Western Digital USB External HD | 5 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.34515005350112915,
0.2570505738258362,
-0.4270182251930237,
0.010703491978347301,
-0.07353891432285309,
-0.29134535789489746,
0.8603826761245728,
1.2709684371948242,
0.768600344657898,
-0.20491226017475128,
0.2614263892173767,
0.3886839747428894,
-0.7539411187171936,
0.06116514280438423... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Q: [-423, -350, -381, -171, -273, 741, -671, 804, 247, 785, -991, -38, 585, 299, 417]
A: | [-420, -350, -380, -170, -270, 740, -670, 800, 250, 780, -990, -40, 580, 300, 420] | 9 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-1.1749427318572998,
0.5661848783493042,
-0.1829148232936859,
-0.25314778089523315,
-0.26374542713165283,
-0.40999162197113037,
0.9368962645530701,
-0.4086453914642334,
-0.49349546432495117,
0.24643999338150024,
-0.8510969877243042,
0.344493567943573,
-0.5381916761398315,
0.388190329074859... |
In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
The improvement of setting facilities as well of the internal and external comm... | THEMENNAHE SEITENTHEMEN IM BEREICH GESUNDHEITSKOMMUNIKATIONEXTERNE LINKSEUROPÄISCHE KOMMISSIONTHEMENNAHE NACHRICHTENTHEMENNAHE ECDC-VERÖFFENTLICHUNGENTHEMENNAHE VERANSTALTUNGENECDC-REVIEWSAUF DEM LAUFENDEN BLEIBENENTWICKLUNGEN IN BEZUG AUF DIE ÖFFENTLICHE GESUNDHEITWISSENSCHAFTLICHE FORTSCHRITTE
| 0 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | fs_opt | [
-0.33923470973968506,
0.4853297472000122,
-0.3821178078651428,
-0.46836644411087036,
-0.07346414029598236,
0.25171107053756714,
0.5976506471633911,
0.8310772776603699,
0.5061065554618835,
-0.3626883029937744,
-0.5665757656097412,
0.018938282504677773,
-0.748763918876648,
0.0051297782920300... |
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.
[Q]: She walked a mile on the sun.
(A) The sun is yell... | A
| 5 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
0.01848260685801506,
0.7661707997322083,
-0.5976184606552124,
-0.23524761199951172,
-0.5315015316009521,
-0.5876345038414001,
0.3476618826389313,
0.3075442612171173,
-0.24288281798362732,
-0.2018338292837143,
-0.03730329871177673,
0.09871040284633636,
0.20788246393203735,
-0.43484002351760... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2)... | Detesto las jergas de cualquier tipo, y en ocasiones he guardado para mí misma mis sentimientos porque no podía encontrar otro lenguaje para describirlos que no fuera ese que ha sido gastado y manoseado hasta perder todo sentido y significado. | 8 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.06954404711723328,
0.7740482687950134,
-0.3036235570907593,
-0.25106579065322876,
-0.06647253036499023,
-1.4036457538604736,
0.6965358853340149,
-0.144648015499115,
-0.22477993369102478,
-0.3990124464035034,
0.19527924060821533,
0.4366723299026489,
-1.3546454906463623,
-0.374807178974151... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Is epithelial-to-mesenchymal transition ( EMT ) in intraductal papillary mucinous neoplasm ( IPMN ) associated with high tumor grade and adverse outcomes? | 0 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.8023066520690918,
-0.07062678784132004,
-0.20998381078243256,
-0.07278365641832352,
0.7231707572937012,
-0.5837641954421997,
0.7426429986953735,
1.0491442680358887,
0.2391211986541748,
0.37306222319602966,
-0.8517352342605591,
0.6647104024887085,
-0.6658892035484314,
0.2138727903366089,
... |
You will be given a definition of a task first, then some input of the task.
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Which European city has an underground station called George V?
Output: | paris | 1 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.2596069574356079,
0.2477351874113083,
0.08252932131290436,
-0.07670288532972336,
0.14415761828422546,
-0.06021667271852493,
1.0236319303512573,
0.03536917269229889,
0.4399568438529968,
-0.8454238176345825,
-0.624539852142334,
-0.06086744740605354,
-0.8309293985366821,
-0.2865758538246155... |
Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Context: Remy's desk w... | True | 3 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.4804667830467224,
0.39196133613586426,
0.1936885118484497,
-0.3130037784576416,
-0.10809364914894104,
-0.06768728047609329,
0.687595784664154,
0.7515734434127808,
0.8721050024032593,
0.17004351317882538,
-0.717775821685791,
-0.21081028878688812,
-0.5264571905136108,
0.36640608310699463,... |
Detailed Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Me... | Animal | 4 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | fs_opt | [
0.38022881746292114,
0.11361895501613617,
0.5629321932792664,
0.05170354247093201,
0.33549126982688904,
-0.12913566827774048,
-0.3891090750694275,
0.1367511749267578,
-0.3027845025062561,
-0.038980934768915176,
-0.07660400867462158,
-0.12845379114151,
-0.902671754360199,
-0.323790609836578... |
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