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 |
|---|---|---|---|---|---|---|
Q: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: With the ascent of Akbar to the M... | Answer: 1556 | 7 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.2537047564983368,
0.2950223684310913,
0.022127941250801086,
-0.024953417479991913,
-0.02353842183947563,
0.14880651235580444,
0.6557945013046265,
0.9908681511878967,
0.6150718927383423,
-0.2909933924674988,
-0.5994540452957153,
-0.17627419531345367,
-0.6908139586448669,
0.227091833949089... |
instruction:
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
question:
... | False
| 9 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
0.406319260597229,
0.04128973186016083,
-0.35425493121147156,
0.5283035039901733,
0.00427755294367671,
-0.6272535920143127,
1.1890745162963867,
0.683207631111145,
0.323131263256073,
0.17072094976902008,
-0.025060364976525307,
0.7724562883377075,
-0.9061657786369324,
0.00324891391210258,
... |
Part 1. Definition
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Part 2. Example
Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the... | Yes | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.4006890058517456,
0.20504534244537354,
-0.28327539563179016,
0.2207828164100647,
0.4972996115684509,
-0.3123709261417389,
0.5128821134567261,
0.800193190574646,
0.1937941610813141,
0.21289736032485962,
-0.6313188076019287,
-0.048593319952487946,
0.299471914768219,
0.04140648990869522,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Let me give you an example: Aquí esta la medusa ala-x de la muerte.
The answer to this example can be: Qui c'è la medusa mortale con le ali ad X.
Here is why: The Spanish sentence is correctly translated into Italian, beca... | PR: Esatto, ma ha chiuso il giorno stesso in cui ha aperto, in termini di tempo in internet | 8 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.9652291536331177,
0.5776935815811157,
-0.42581552267074585,
-0.20401139557361603,
-1.0046778917312622,
-0.513583779335022,
0.4848182797431946,
0.8610342741012573,
0.04461898282170296,
-0.16132573783397675,
-0.4438326060771942,
0.17271627485752106,
-0.2672065198421478,
0.5744922161102295... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
One example: Sentence 1: The sum of all... | entails | 6 | NIv2 | task1554_scitail_classification | fs_opt | [
0.31514060497283936,
0.41161757707595825,
0.003548240289092064,
-0.17700430750846863,
-0.08500548452138901,
-0.9829171895980835,
-0.38970452547073364,
0.5492585897445679,
0.024771325290203094,
-0.6092782020568848,
-0.5578409433364868,
-0.3453245759010315,
-0.7013964653015137,
-0.1653985828... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: How is everyone
A: | କେମିତି ଅଛନ୍ତି ଆପଣମାନେ ସମସ୍ତେ! | 9 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
0.7719485759735107,
0.8651156425476074,
-0.46983814239501953,
-0.4579605460166931,
-0.38963666558265686,
-1.5604101419448853,
0.7539509534835815,
-0.06075656786561012,
0.29332345724105835,
-0.33122241497039795,
-0.451921284198761,
-0.14964665472507477,
-0.11279977858066559,
0.1924762129783... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
[EX Q]: Fact1: ... | Section chief Kim Kim Myungmin was dispatched to South Korea 22 years ago to spy for the North Korean government. But spying is not his job anymore, or at least, it’s not what he does in daily life. Now, Kim makes a living by selling fake Viagra pills smuggled from China and returns home every night to his wife and two... | 6 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.8648457527160645,
0.29576683044433594,
-0.32632800936698914,
0.2638052701950073,
0.17439332604408264,
-0.6606981158256531,
0.5433375835418701,
1.0062037706375122,
0.16195744276046753,
0.010876484215259552,
-0.4221858084201813,
0.1786649525165558,
-0.35117462277412415,
0.03988935425877571... |
Part 1. 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and wi... | p | 7 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.3016347289085388,
-0.4040020704269409,
-0.8313803672790527,
-0.2234066128730774,
0.067690908908844,
-0.16753128170967102,
0.5257877707481384,
-0.06240544840693474,
-0.4256363809108734,
0.22043576836585999,
-1.2297160625457764,
-0.36600542068481445,
-0.14634108543395996,
0.067289970815181... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Input: Conside... | Output: B
| 2 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.4983806908130646,
0.2986738085746765,
-0.4214913249015808,
-0.01550329104065895,
-0.224173903465271,
-0.17217062413692474,
0.7830389738082886,
0.7291009426116943,
0.029407082125544548,
0.10777910053730011,
-0.3208274841308594,
0.351412296295166,
-0.31032559275627136,
-0.4054691195487976,... |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | No.
| 3 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.5989327430725098,
0.6225333213806152,
-0.5907458066940308,
0.05584117770195007,
0.46410977840423584,
-0.105110764503479,
0.8805230855941772,
0.6181312799453735,
0.10484427213668823,
0.22611011564731598,
-0.48600876331329346,
0.32803380489349365,
-0.8372727632522583,
-0.22180667519569397,... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.06257886439561844,
0.417948842048645,
0.2282835990190506,
0.03227327764034271,
-0.3196178376674652,
-0.565690279006958,
0.8942034244537354,
0.7442209720611572,
-0.389081209897995,
-0.3208954930305481,
-0.2728474736213684,
-0.08092841506004333,
-0.7615667581558228,
0.1762467324733734,
1... |
Instructions: This task is about translating a given Spanish language sentence to English.
Input: Pero la cosa es que el coyote salta el acantilado tras él.
Output: | But the thing is, the coyote runs off the cliff right after him. | 3 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.24583746492862701,
0.9432406425476074,
-0.09140567481517792,
0.5068811178207397,
0.24361565709114075,
-0.8802081346511841,
-0.30858299136161804,
0.8420349359512329,
-0.01277131587266922,
-0.6306589841842651,
0.2873302698135376,
0.20275817811489105,
-1.2004914283752441,
0.0740135163068771... |
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: முன்னாள் படை வீரர் பங்களிப்பு சுகாதாரத் திட்டத்தின் கீழ் 2ஆம் உலகப்போர் வீரர்கள், அவசரக்கால நியமன அதிகாரிகள், குறுகிய பணி கால நியமன அதிகாரிகள் மற்றும் ... | پارلیمنٹ کے دونوں ایوانوں کے مشترکہ اجلاس سے صدر جمہوریہ ہند جناب رام ناتھ کووند کا خطاب
| 6 | NIv2 | task1035_pib_translation_tamil_urdu | fs_opt | [
-0.31201687455177307,
-0.23767948150634766,
-0.5095035433769226,
-0.25042080879211426,
0.2191668152809143,
-1.5129899978637695,
0.6929471492767334,
0.29954099655151367,
-0.059369977563619614,
0.2509840726852417,
-0.12071084976196289,
0.5241813659667969,
-0.07144847512245178,
0.154466137290... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: フックポイント艀で本島に渡るのを待っている間、子どもは彼女の両親とビーチに居た。
[EX A]: ในขณะที่เด็กอยู่บนชายหาดกับพ่อแม่ ระหว่างกำลังรอข้ามไปยังแผ่นดินใหญ่ส่งด้วยเรือขนส่งฮุคพ้อยท... | การเสียชีวิตเกิดขึ้นในเมืองโทเลียรา และมีเหตุการณ์ที่คล้ายกันเกิดขึ้นในเมืองซาคาราฮาซึ่งอยู่ห่างออกไป 130 กิโลเมตร(80.8ไมล์)
| 6 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.03377978503704071,
-0.4110901355743408,
-1.00678288936615,
-0.6773474216461182,
-0.29572224617004395,
-0.7125608921051025,
0.5895613431930542,
0.27414876222610474,
-0.34427374601364136,
-0.16073931753635406,
-0.4754837453365326,
0.9154539704322815,
-0.5306105613708496,
0.6150137186050415... |
TASK DEFINITION: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
PROBLEM: 私は変わった
SOLUTION: ♪ Porque eu mudei
PROBLEM: さらに多いですね
SOLUTION: Mais ainda.
PROBLEM: 「何を言っているんだ ？ 」そう思うでしょう
SOLUTION: | Provavelmente estão a pensar que não faz sentido nenhum.
| 8 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
0.7387983798980713,
-0.11679063737392426,
0.035805560648441315,
-0.4225410223007202,
-0.26585596799850464,
-0.9257373809814453,
-0.33432555198669434,
0.9103466868400574,
0.7357218265533447,
-0.29220616817474365,
-0.3360907733440399,
-0.1177285686135292,
-1.0111494064331055,
0.0169771499931... |
Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input:... | flowers | 3 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.02351665124297142,
0.8571591377258301,
-0.276119589805603,
-0.3792552947998047,
-0.03135790303349495,
-0.6663451194763184,
0.5936998724937439,
0.7592734098434448,
-0.03935756906867027,
0.07991662621498108,
-0.14984697103500366,
-0.01716010458767414,
0.006986485794186592,
-0.4913254082202... |
Definition: A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: ‘‘భారతదేశానికి, దక్షిణ ఆఫ్రికా కు మధ్య 20 సంవత్సరాల వ్యూహాత్మక భాగస్వామ్యం’’ అనే ఇతివృత్తం పై భారతదేశం, దక్షిణ ఆఫ్రికా లు సం... | The Union Cabinet chaired by the Prime Minister Shri Narendra Modi was apprised of joint issue of Postage Stamps on India-South Africa on the theme, "20 Years of Strategic Partnership between India and South Africa". | 2 | NIv2 | task1048_pib_translation_telugu_english | zs_opt | [
0.19700735807418823,
0.4490409195423126,
-0.13867315649986267,
0.22067248821258545,
-0.06343112885951996,
-0.4502355754375458,
0.7967944145202637,
0.1653689593076706,
-0.020626453682780266,
0.05574078857898712,
-0.2807469964027405,
0.19911131262779236,
-0.44727271795272827,
0.0790721103549... |
Detailed Instructions: Given a sentence in French, generate a new French 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 reasonabl... | Si vous voulez créer de l'art, alors vous devriez prendre un cours. | 9 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.43388840556144714,
0.7787733674049377,
0.09804162383079529,
-0.30151230096817017,
0.05645433068275452,
-0.4074450731277466,
0.35052424669265747,
0.4446805417537689,
0.06185682490468025,
-0.08597151190042496,
-0.5210720896720886,
-0.3499804735183716,
-0.40465104579925537,
0.5317953228950... |
Detailed Instructions: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the us... | user | 4 | NIv2 | task1599_smcalflow_classification | fs_opt | [
0.028406845405697823,
0.38311561942100525,
-0.23262596130371094,
-0.012060691602528095,
-0.013912612572312355,
-0.3180018663406372,
0.44875234365463257,
-0.1925470530986786,
0.3031606078147888,
0.27837851643562317,
-0.3542764484882355,
-0.28144264221191406,
-0.9039996862411499,
0.496316969... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
And this is a new project I have with Dean Kamen, the famous inventor in America.
A: | وهذا مشروعي الجديد مع "" دين كامين "", المخترع الشهير في الولايات المتحدة. | 7 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.6131820678710938,
0.7822800874710083,
0.8651337027549744,
-0.8170579671859741,
0.12085571885108948,
0.24348214268684387,
-0.0167478509247303,
0.10869299620389938,
0.38089606165885925,
0.06380480527877808,
-0.4718828797340393,
0.015206357464194298,
-0.8543190956115723,
-0.1794251948595047... |
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Problem:Verify if the sentiment of the following document towards the entity Tony Hail... | yes | 8 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.5583528280258179,
-0.026467302814126015,
0.41980016231536865,
0.6916906237602234,
0.5222975015640259,
-0.8002076745033264,
0.4002241790294647,
0.5064287185668945,
0.22423353791236877,
0.22214604914188385,
-0.07225103676319122,
0.2518208622932434,
-0.9236610531806946,
-0.4705246686935425... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | No | 1 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.3164157271385193,
0.3565230667591095,
0.40647274255752563,
-0.37110498547554016,
-0.15363965928554535,
-0.9525699615478516,
1.4326220750808716,
0.33073580265045166,
-1.1393985748291016,
-0.5504085421562195,
-0.3147590756416321,
-0.8247957825660706,
-0.4608157277107239,
0.4287070035934448... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: من این دو عنصر را به عنوان تجلی حیات بشر در نظر گرفتم.
Output: | وأعتبر هذين العنصرين تعبيرات بشرية حيوية. | 2 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.5484349131584167,
0.22419235110282898,
-0.575281023979187,
0.1041959896683693,
-0.36422741413116455,
-0.16327103972434998,
1.3229423761367798,
-0.06516625732183456,
0.6038053631782532,
0.2391882836818695,
-0.8058367371559143,
-0.1552782505750656,
-0.0695900171995163,
0.3219119906425476,... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Problem:Someone is typing.
Solution: | Cineva tastează. | 8 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
0.09224965423345566,
0.7207586765289307,
0.41647714376449585,
-0.45058295130729675,
0.034983258694410324,
-0.3998870551586151,
0.7721550464630127,
0.7652171850204468,
0.6075345873832703,
0.2333979606628418,
0.09371896088123322,
0.18758422136306763,
-0.29408928751945496,
-0.4573052823543548... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Q: Se eu não amasse a minha esposa, uma TV seria o suficiente: "" Vais ver o meu jogo de futebol preferido, "se não estás feliz, que tal um livro ou a porta?"
A: | Gdybym nie kochał żony, to jeden telewizor by wystarczył. Oglądasz ze mną mecz, a jak się nie podoba, to wybieraj: książka albo drzwi. | 4 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
0.0735485777258873,
0.8661680817604065,
-0.9179996252059937,
0.5859935283660889,
-0.011298593133687973,
-0.046545714139938354,
0.4775768518447876,
-0.9054702520370483,
0.13915401697158813,
-0.0706012025475502,
0.5289700031280518,
-0.25002437829971313,
-0.6606863737106323,
-0.05602256953716... |
In this task, given a sentence in the Thai language, your task is to convert it into the English language.
[Q]: ฉันเชื่อว่าในอีก 5 ถึง10ปีข้างหน้า เราจะเห็นการเปลี่ยนแปลงของวัฒนธรรมด้านการรายงานข่าวของสื่อ และอคติทางเพศ
[A]: I believe in 5–10 years' time we will see a cultural change with regards to media coverage and... | Kawhmu is a rural township in south-west Myanmar which was hit by cyclone Nargis in 2008.
| 5 | NIv2 | task537_alt_translation_th_en | fs_opt | [
-0.8649714589118958,
-0.011273634620010853,
0.18015018105506897,
-0.3650416135787964,
0.021014440804719925,
-1.018043041229248,
0.32488933205604553,
1.1504310369491577,
0.031879063695669174,
-0.24717654287815094,
-0.4700912833213806,
0.8016980886459351,
-0.2719244956970215,
0.2080173194408... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
[EX Q]: Chciałabym podzielić się z wami swoją opinią na temat zmian w morzach, które dotyczą nas wszystkich i opowiedzieć, jakie znaczenie ma fakt, że w ciągu 50 lat straciliśmy, a właściwie wyłowiliśmy, zjedliśmy, ponad 90... | Claro que non, abusar nunca é bo.
| 6 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.5241342186927795,
0.2797411382198334,
-0.589246392250061,
-0.7070024609565735,
-0.3796887993812561,
-1.1912176609039307,
0.6588999629020691,
0.2576417326927185,
-0.44239580631256104,
-0.0383521243929863,
0.7447384595870972,
0.29273420572280884,
-1.2722381353378296,
0.7017303705215454,
... |
Q: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the que... | James took out a seat from his office to create more space. The _ is too small. | 7 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7443965673446655,
0.2744824290275574,
0.023495344445109367,
-0.3511016368865967,
0.662610650062561,
-0.9918898344039917,
0.744026780128479,
1.012514591217041,
-0.5210578441619873,
-0.2374889850616455,
-0.3549840450286865,
0.3442937135696411,
-0.3405725359916687,
0.02999209240078926,
-0... |
Detailed Instructions: 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... | Metro-style apps | 9 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.208297997713089,
-0.30438265204429626,
-0.27155715227127075,
-0.48984959721565247,
0.6115469932556152,
-0.7464957237243652,
0.13678941130638123,
1.018283486366272,
0.06219341978430748,
0.26949912309646606,
-0.17329201102256775,
0.4690729081630707,
-0.3628467917442322,
0.0912192538380622... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True | 0 | NIv2 | task1187_politifact_classification | zs_opt | [
0.1443343162536621,
0.4208943545818329,
-0.1919558048248291,
0.0008639359148219228,
-0.9013339281082153,
-0.3163861334323883,
0.7152799367904663,
-0.12660032510757446,
0.4253222346305847,
0.10100888460874557,
-0.6150659918785095,
-0.09803664684295654,
-0.45714879035949707,
0.41127043962478... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Q: ['q', '9237', 'o', '8877', '7265', '7741', '5897', 'z', '1967', 'c', 'H', ... | 10 | 4 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.39784395694732666,
0.8665058612823486,
-0.13445916771888733,
-0.4517246186733246,
0.39722740650177,
-1.1376644372940063,
0.10494447499513626,
-0.45368635654449463,
-0.4472516179084778,
0.24760866165161133,
-0.8015044927597046,
0.1711750030517578,
0.16191676259040833,
0.14606067538261414... |
Detailed Instructions: 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.
Q: Context: This nev... | no | 9 | NIv2 | task242_tweetqa_classification | zs_opt | [
-1.3830350637435913,
0.46635133028030396,
0.6396403908729553,
-0.27949219942092896,
-0.1999155879020691,
-0.26677820086479187,
0.04345150664448738,
0.5625598430633545,
0.25763604044914246,
0.6504617929458618,
0.0004244674346409738,
0.014549165964126587,
-0.2817652225494385,
0.1620143353939... |
TASK DEFINITION: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
PROBLEM: I am interested in learning about Zimbabwe.
Good evening. Zimbabwe is a country in southern Africa. The capital is Harare.
Nice, What do you know of the political structure ther... | Djibouti
| 8 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.3299320936203003,
0.23664593696594238,
-0.30424630641937256,
-0.2275838404893875,
0.5900795459747314,
0.04571319371461868,
1.2783342599868774,
0.7297118902206421,
-0.38569140434265137,
-0.04268364608287811,
-0.5693855285644531,
0.512711226940155,
-1.1696178913116455,
0.2967563271522522,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
[Q]: ولكن ما من أحد آخر ؛ ليس هناك غيرك أنت ؟
[A]: でも「他の誰か」はいないのです自分しかいません
[Q]: (ضحك) قالت سيلفيا أنه يجب أن نستخدم كل القدرات التي نملكها لمحاولة معرفة المحيط
[A]: （ 笑 ） 海を知るにはありったけの力を傾けなければならないとシルビア （ Sylvia Earle ） は言い... | 頻繁に食肉の値段を僅かに下げる為に鶏や豚に投与されたのです随分と抗生物質を病気でもない家畜に成長促進の為に使ってきました
| 5 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.17154356837272644,
0.24913062155246735,
0.11097478866577148,
-0.8190173506736755,
-0.365694522857666,
-0.32642415165901184,
0.7269634008407593,
-0.1948910355567932,
0.09345182776451111,
-0.19476106762886047,
-0.1667000949382782,
0.27312973141670227,
-1.5315653085708618,
0.15082511305809... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [72, -15, 55, -85, 66, 183] | 8 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.7288733720779419,
0.15887707471847534,
-0.7002488374710083,
-0.2518978416919708,
0.22509229183197021,
0.1194344013929367,
0.7994729280471802,
0.5825667381286621,
-0.5310875773429871,
-0.3121156692504883,
-0.4500047266483307,
0.18181468546390533,
-0.3034094572067261,
-0.4000239372253418,
... |
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 appear in the given input... | o, B, V, L, R, f, J, n, v, n, P, V, 9779, 8613, 7595, 9329, 7697, 5483, 471, 1435, 1263, 1539, 47, 6499, 4537, 5813, 7677, 4601, 8167
| 7 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
-0.24819304049015045,
-0.03149768337607384,
-0.5494765043258667,
-0.13343070447444916,
0.0916467159986496,
-0.46551063656806946,
0.6403060555458069,
0.403661847114563,
-0.5452926158905029,
0.6073483228683472,
-0.5691738128662109,
0.19673782587051392,
-0.2632560133934021,
0.2380256354808807... |
Detailed Instructions: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then... | SSq | 8 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.13738761842250824,
0.9703372120857239,
-0.4657718241214752,
-0.46792060136795044,
0.006189018487930298,
0.08954165875911713,
0.694881021976471,
-0.047847211360931396,
-0.3700137138366699,
0.19880381226539612,
-0.6040993928909302,
0.4265495240688324,
0.10671620070934296,
-0.0456949435174... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review an... | neutral | 0 | NIv2 | task525_parsinlu_movie_aspect_classification | fs_opt | [
-0.34190529584884644,
-0.010583320632576942,
-0.17551152408123016,
0.08114135265350342,
-0.10186409205198288,
0.09182374179363251,
1.153658390045166,
0.709666907787323,
0.5388723611831665,
-0.15450243651866913,
0.08349525928497314,
0.013896919786930084,
-0.16964489221572876,
0.185274004936... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Q: This enhancer element functioned in a position - and orientation - independent manner both on the Pax - QNR P0 promoter and the heterolog... | thymidine kinase | 4 | NIv2 | task1481_gene_extraction_bc2gm_dataset | zs_opt | [
-0.5528899431228638,
0.5908452868461609,
-0.2997376322746277,
-0.038490988314151764,
-0.39880985021591187,
-0.4620105028152466,
1.3076527118682861,
0.4153958559036255,
0.3818235993385315,
0.21256618201732635,
-0.7298389077186584,
-0.29559046030044556,
-1.1294666528701782,
0.299409389495849... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Example: Coming from a xenophobic race that possesses the uni... | Singular | 1 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.231236457824707,
0.5061315298080444,
0.03922376036643982,
-0.03507539629936218,
-0.4824882745742798,
-0.08796665072441101,
0.32853591442108154,
0.36274683475494385,
-0.016156798228621483,
-0.33615005016326904,
-0.5549229383468628,
-0.3149523138999939,
-0.38557660579681396,
-0.1409673094... |
Given the task definition and input, reply with output. Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two par... | I haven't. My dog is the security. He looks vicious but he is gentle. | 5 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.34431561827659607,
0.12414310872554779,
-0.15220150351524353,
-0.6174295544624329,
-0.49635130167007446,
1.0389115810394287,
0.51039057970047,
0.37152281403541565,
0.29464489221572876,
-0.21782788634300232,
-0.1367865651845932,
-0.09585030376911163,
-0.4936482906341553,
0.27653682231903... |
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 post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypo... | yes | 0 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.22537103295326233,
0.39658594131469727,
0.07253198325634003,
0.07925461232662201,
0.14080359041690826,
-0.09008308500051498,
0.7785378694534302,
1.2886133193969727,
-0.7419092655181885,
-0.22339940071105957,
0.12549042701721191,
0.041087377816438675,
-0.1313740313053131,
-0.1432619839906... |
TASK DEFINITION: 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".
PROBLEM: Reviews: BEWARE !!! This ... | False
| 8 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
0.5560498237609863,
-0.4187687635421753,
-0.5337979197502136,
-0.38284730911254883,
0.020166929811239243,
-0.10987456887960434,
0.5194202661514282,
1.3450710773468018,
0.07490846514701843,
0.5162144899368286,
-0.037598542869091034,
0.5012916326522827,
-0.5118916034698486,
0.066924974322319... |
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 sentences fro... | I think my stepdad is silly >Causes> I feel(s) disappoinment
| 7 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
-0.6825827360153198,
-0.06741328537464142,
-0.5249862670898438,
0.011397471651434898,
0.14210382103919983,
-1.889106273651123,
1.0982900857925415,
1.0722191333770752,
-0.7128407955169678,
-0.2630884647369385,
-0.5026947259902954,
0.2820856273174286,
-0.5124955177307129,
-0.2703683376312256... |
Instructions: You are given a sentence and a question. You're expected to write the correct answer based on the sentence.
Input: Sentence: A girl slides a game piece across the gameboard, then across across the carpet. He notices the game piece shows more resistance against the carpet. Question: Which surface allows th... | the gameboard | 3 | NIv2 | task1382_quarel_write_correct_answer | zs_opt | [
-0.282815545797348,
1.1330732107162476,
-1.0634617805480957,
-0.6501866579055786,
0.04027298465371132,
-0.45676517486572266,
-0.6385763883590698,
0.5664899945259094,
0.44423291087150574,
-0.3980374336242676,
0.2434118241071701,
0.5366655588150024,
-0.9987648129463196,
-0.13605424761772156,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Ex Input:
Parece que hai unha norma na natureza pola que se te achegas moito a onde provés, a cousa ponse fea.
Ex Output:
W naturze jest taka zasada, że jak zbliżysz się do miejsca pochodzenia może być nieprzyjemnie.
E... | Postanowiłem się tam udać.
| 1 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-1.4413650035858154,
0.5196641087532043,
-0.630659282207489,
-0.40039318799972534,
-0.6741220951080322,
-1.0575804710388184,
0.319084107875824,
-0.5345904231071472,
-0.5598000884056091,
-0.05619107186794281,
-0.8745875954627991,
0.3034580945968628,
-0.4893355369567871,
0.13284838199615479,... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Example: 7
Example solution: Yes
Example explanation: 7 is a prime number as it has no factors greater than 1. So, it ... | Solution: Yes | 5 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.3960908055305481,
1.1131856441497803,
0.033974237740039825,
-0.1537187099456787,
-0.02121913991868496,
-0.3909444808959961,
0.7807286977767944,
0.9256840944290161,
0.3978879451751709,
-0.21721352636814117,
-0.19559970498085022,
0.026251280680298805,
-0.6858580708503723,
0.04600229486823... |
Definition: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Input: It is very difficult to set the alarm. The button seems to stick which makes i... | 2 | 2 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
0.16222862899303436,
-0.08945058286190033,
-0.028284721076488495,
0.06991232931613922,
0.48408347368240356,
-0.23082000017166138,
0.721919596195221,
0.6644219160079956,
0.12841632962226868,
0.5344200134277344,
-0.7216739654541016,
-0.005222582258284092,
-0.739293098449707,
-0.0322768315672... |
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.
Input: Consider Input: Tweet: One more of tonight's dog walk sunset. AKA, invisible bird ... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.4767485857009888,
0.7224367260932922,
0.406735897064209,
0.7292675971984863,
-0.5356813669204712,
-1.0835531949996948,
-0.09114507585763931,
0.8383190631866455,
0.3968573212623596,
0.3465113639831543,
-0.40568000078201294,
-0.3165324330329895,
-0.3577732741832733,
-0.9116296768188477,
... |
Definition: In this task, you are given a question. You have to answer the question based on your information.
Input: Who created the television series produced by 50 cent were Kathrine Narducci has made a guest appearance?
Output: | Courtney Kemp Agboh | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.07420364767313004,
0.34801435470581055,
-0.13875968754291534,
0.1912941038608551,
0.2890685796737671,
0.6937675476074219,
1.1969068050384521,
0.6132447719573975,
0.08875060826539993,
-0.14852924644947052,
-0.28860747814178467,
-0.04027818143367767,
-0.6334944367408752,
0.131504833698272... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
¿Valió la pena? Absolutamente. | لكن هل كان ذلك يستحق العناء نعم حتما. | 0 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.1683124154806137,
0.4694763123989105,
0.10568301379680634,
-0.0031097140163183212,
-0.060398299247026443,
-0.31854480504989624,
1.3831126689910889,
-0.09469468146562576,
0.7761441469192505,
-0.3835342824459076,
0.12700417637825012,
-0.16357091069221497,
-0.8517804145812988,
0.47908401489... |
Q: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Sentence1: Charles was high up in the Agriculture Department. Sentence2: He heard from the news someone w... | The president of America called Charles to hear what was going on. | 7 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.1841326802968979,
0.7678672671318054,
0.252228707075119,
-0.9133635759353638,
0.06246594339609146,
-0.08978143334388733,
0.4385586977005005,
0.28888973593711853,
-0.02809521183371544,
-0.22515608370304108,
-0.3388339579105377,
-0.04541851952672005,
-0.2227148711681366,
0.406051754951477... |
Q: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
In a 6-qt. stockpot, cook fettuccine according to package directions. Drain; return to pot., Meanwhile, in a large skillet, heat butte... | fettuccine, butter, onions, garlic, all-purpose, salt, pepper, cream, shrimp, lemon zest, lemon juice, Parmesan cheese, parsley | 7 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
-0.7944233417510986,
0.061549026519060135,
0.04065023362636566,
-0.2431618571281433,
-0.30830344557762146,
-0.018051140010356903,
1.1695377826690674,
-0.1251143515110016,
-0.1920766830444336,
-0.25002437829971313,
0.2689371407032013,
-0.22829538583755493,
-1.226701259613037,
-0.12768794596... |
Detailed Instructions: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_cont... | B_contradicts_A | 9 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
-0.6718366146087646,
0.20995095372200012,
0.17260262370109558,
-0.17755156755447388,
-0.31160640716552734,
-0.36789047718048096,
-0.0600409097969532,
0.4206191897392273,
0.6621149778366089,
-0.024716468527913094,
-0.5279081463813782,
0.10670919716358185,
0.3471905291080475,
0.1248946487903... |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
PROBLEM: En 2001 este edificio recibió un premio.
SOLUTION: Em 2001 este edifício recebeu um prémio.
PROBLEM: Se coloca en unos pocos minutos y se espera a que aparezcan las señales.
SOLUTION: Apenas l... | Em 2001, perguntámos a árabes e a muçulmanos em geral, pelo mundo, o que mais admiravam no mundo ocidental.
| 8 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
0.22536464035511017,
0.8079679608345032,
-0.06475929915904999,
-0.1098138689994812,
-0.5342708826065063,
-0.2789362668991089,
0.21983009576797485,
1.1030604839324951,
0.6834538578987122,
-0.1709442436695099,
-0.7163995504379272,
0.5080366134643555,
-0.6150063276290894,
0.0539671927690506,
... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
[Q]: Category: PRESIDENTIAL FIRSTS
Clue: The first president to cross the Atlantic Ocean whil... | halloween
| 5 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.07026612758636475,
0.7838369011878967,
-0.1789623498916626,
-0.3512742221355438,
-0.22945742309093475,
-0.44427311420440674,
0.12572649121284485,
-0.33511459827423096,
0.45857182145118713,
0.6575317978858948,
0.03713327646255493,
-0.0800619125366211,
-0.33605724573135376,
-0.12104817479... |
instruction:
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information w... | Amy had just arrived for her first day of junior high.
| 9 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.11402304470539093,
0.5766218900680542,
-0.3904734253883362,
-0.5203026533126831,
-0.21912983059883118,
-0.24753034114837646,
0.4815460443496704,
0.6501715183258057,
0.06384874880313873,
-0.06527184695005417,
-0.7249120473861694,
0.06284040957689285,
-0.1421550065279007,
0.14569666981697... |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Valid
| 6 | NIv2 | task149_afs_argument_quality_death_penalty | fs_opt | [
0.3640841245651245,
0.6120579242706299,
0.3837926685810089,
0.0779326856136322,
-0.6860975027084351,
-1.9635347127914429,
0.39129358530044556,
0.6074579358100891,
0.27412497997283936,
0.7221971750259399,
-0.30114278197288513,
-0.16883228719234467,
-0.5857611894607544,
0.08242235332727432,
... |
Definition: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the ... | Japanese | 2 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.8235952854156494,
0.21962501108646393,
0.13978734612464905,
-0.019374873489141464,
-0.40480199456214905,
-0.43426063656806946,
0.8547078371047974,
0.4639706015586853,
0.4531259834766388,
-0.6931301355361938,
-0.6477027535438538,
-0.9529927372932434,
-0.3771095275878906,
0.35647314786911... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: ハマりやすいし素晴らしいビデオです
A: | Fantastyczny viral i wspaniały teledysk. | 9 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.28955498337745667,
0.29587486386299133,
-0.4108613133430481,
-0.20107242465019226,
-0.3442974090576172,
-1.121990442276001,
1.0126758813858032,
-0.39458370208740234,
0.05236884951591492,
-0.08130486309528351,
-0.20288288593292236,
-0.6140096187591553,
0.3377456068992615,
0.21038371324539... |
Given the task definition and input, reply with output. A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
5 ఎంఎంటి) పాదుర్ (2.
| 5 ਐੱਮਐੱਮਟੀ) ਅਤੇ ਪਦੁਰ (2. | 5 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
-0.3933353126049042,
1.1417837142944336,
-0.10878469049930573,
0.48737192153930664,
0.20785319805145264,
-0.7045817971229553,
0.2358510047197342,
-0.15299385786056519,
0.5212019681930542,
-0.03559711202979088,
-0.6157891750335693,
0.15280453860759735,
-0.8472284078598022,
0.181994885206222... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Q: Sentence: 'two zebras that are standing in the dirt'. How many words end with the letter 'e' in the sentence.
A: 2
****
Q: Sentence: 'a beautiful little blond girl using a smart phon... | 4
****
| 4 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.23101693391799927,
0.3380439877510071,
-0.31959068775177,
-0.4252021610736847,
-0.46889379620552063,
-0.24196815490722656,
0.2740783095359802,
0.23488159477710724,
-0.35282233357429504,
-0.5004199743270874,
-0.8201357126235962,
0.3548694849014282,
0.1284993290901184,
-0.2242985963821411... |
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
| 6 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.4100363552570343,
0.25115251541137695,
-0.0005503049469552934,
0.12168756127357483,
-0.92596435546875,
-0.1170710027217865,
0.47384214401245117,
0.47495096921920776,
0.3989596664905548,
-0.6611467599868774,
-1.3758265972137451,
-0.047033295035362244,
-0.3732466399669647,
0.0290888249874... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Ex Input:
EkdpWYLsmfb, rgxdpWYLor
Ex Output:
b, d, e, f, k, l, m, p, s, w, y
Ex Input:
qcVxWDtmcggsaJRIRRnpkJyay, pocHLOqGEQi... | b, f, h, n, o, q, r, s, t, w, x, z
| 1 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.19604524970054626,
0.8942464590072632,
-0.21013915538787842,
-0.4609232544898987,
0.10692556947469711,
-0.10429339110851288,
1.2163147926330566,
-0.2536696195602417,
-0.13419665396213531,
0.13544940948486328,
-0.843112587928772,
0.07709503918886185,
0.1665688455104828,
-0.32606443762779... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 2 | 1 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.05093236640095711,
0.44428473711013794,
-0.13162504136562347,
-0.051165368407964706,
0.1344965696334839,
-0.1698218435049057,
0.452677458524704,
0.3087160289287567,
-0.13776007294654846,
-0.07531574368476868,
-0.3523922860622406,
-0.2656469941139221,
0.18371927738189697,
-1.073269486427... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
One example is below.
Q: Qui c'è la medusa mortale con le ali ad X.
A: Aquí esta la medusa ala-x de la muerte.
Rationale: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
Q: G: Be... | FG: Pero sabes, Richard, la mayoría de arquitectos cuando presentan su trabajo, la mayoria de las personas que conocemos, se ponen de pie y hablan sobre su trabajo y es casi como que le cuenta a todo el mundo que es un buen tipo diciendo, "" Miren, me preocupo por el contexto, me preocupo por la ciudad, me preocupo por... | 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.6507169604301453,
0.9481011629104614,
-0.2618652582168579,
-0.34671133756637573,
-0.2548699975013733,
-0.6878918409347534,
0.16634123027324677,
1.2581467628479004,
0.044972799718379974,
-0.22916656732559204,
-0.46603649854660034,
0.19073131680488586,
-0.5910888314247131,
0.0540213137865... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Y... | Yes
| 8 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.9215677380561829,
-0.22905655205249786,
-0.029959067702293396,
0.2671612799167633,
-0.050605807453393936,
-0.9871742725372314,
1.1392520666122437,
0.8658837080001831,
-0.8850258588790894,
-0.2092282623052597,
-0.38923192024230957,
-0.5944136381149292,
-0.21208615601062775,
-0.19571733474... |
TASK DEFINITION: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
PROBLEM: Sentence: 'a man picks bananas that are still green'. Count the number of vowels in the given sentence.
SOLUTION: 12
PROBLEM: Sentence: '... | 16
| 8 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.5497039556503296,
0.6167272329330444,
-0.7819392681121826,
-0.6273970603942871,
0.04600617289543152,
0.1668212115764618,
0.2154868245124817,
0.5253406763076782,
-0.2385481894016266,
-0.19125032424926758,
-0.7448381185531616,
0.2098827213048935,
-0.3963451385498047,
-0.5639548301696777,
... |
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the cor... | True | 6 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.0836162120103836,
0.25053149461746216,
-0.2776603102684021,
-0.4241027235984802,
-0.22739030420780182,
-1.0335955619812012,
1.10132896900177,
0.5236548781394958,
0.27376222610473633,
0.27658283710479736,
0.10098783671855927,
0.05078544095158577,
-0.7002940773963928,
-0.04940470308065414... |
instruction:
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX... | NNP
| 9 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.6853534579277039,
0.22613760828971863,
-0.10782250016927719,
0.4144163429737091,
-0.03492108732461929,
-0.8579831123352051,
1.0197268724441528,
1.0416295528411865,
-0.49083569645881653,
-0.08852952718734741,
-0.2836815416812897,
0.3659030497074127,
-0.58613121509552,
0.0891452357172966,
... |
Given the task definition, example input & output, solve the new input case.
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet i... | fucked a nigger | 1 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.652353048324585,
0.9555233716964722,
0.5395504236221313,
0.40085020661354065,
-0.1430649757385254,
-0.6580435037612915,
-0.017082564532756805,
0.6645100116729736,
0.345438152551651,
0.279167115688324,
-0.4276949167251587,
0.15076714754104614,
-0.11036030203104019,
-1.2484933137893677,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [70, 94, -17.0, 0.0, 118, 2.5, -14.0, -11.5] | 3 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.48620322346687317,
0.9640614986419678,
-0.3686242699623108,
-0.3400402367115021,
0.10584226995706558,
-0.35384637117385864,
1.2692348957061768,
0.023718426004052162,
-0.1979714334011078,
0.24507728219032288,
-0.49947860836982727,
0.08034040033817291,
-0.5041095614433289,
-0.068271443247... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
[EX Q]: نیروی محرکه من اشتیاق وافرم برای خلق عکس های داستان گو است.
[EX A]: Sou movido por uma pura paixão por criar fotografias que contam histórias.
[EX Q]: (خنده) اما آن جا ، چیز متفاوتی درباره ساختمان فهمیدم.
[EX ... | Finalmente, o objetivo, quando percebermos como é que estas decisões afectam a nossa tomada de decisão, queremos ser capazes de oferecer às pessoas ferramentas para se possam conscientemente tornar melhores poupadores e investidores mais conscientes nos seus futuros.
| 6 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.6260683536529541,
0.04463670402765274,
-0.2997126281261444,
-0.5031998157501221,
-0.7669638991355896,
-0.7065140604972839,
0.34827184677124023,
0.6273089647293091,
0.3759859800338745,
-0.5986160635948181,
-0.7871106863021851,
-0.2745330333709717,
-0.4413578510284424,
0.8070278167724609,... |
Teacher:You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Teacher: Now, understand the problem? Solve this instance: Category: IN THE NEWS
Clue:... | mercury | 6 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-1.3116432428359985,
0.7862575054168701,
-0.18428611755371094,
0.11712658405303955,
0.295134574174881,
-0.020357009023427963,
0.05516938120126724,
0.09032832086086273,
0.03816135600209236,
0.2364645153284073,
-0.3115060329437256,
0.06242923066020012,
0.4317350685596466,
-0.4403762817382812... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: Gdy zamykamy dłoń, te mięśnie się kurczą.
Output: | وإذا أردت ضم اليد ، تنقبض تلك العضلات. | 2 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.5735594034194946,
0.687500536441803,
-0.5496371984481812,
-0.756912887096405,
-0.5661256313323975,
0.7536234259605408,
1.5326118469238281,
-0.5539237260818481,
0.6667577028274536,
0.24709950387477875,
-0.6996484994888306,
0.07135993242263794,
-0.8182449340820312,
0.28459739685058594,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
[EX Q]: ['3999', 'V', 'U', '1379', 'G', 'C', '8655', '5737', '7207', 'q', '5243', 'r', 'Q', 'E', '1645', 'P', '3901', 'T... | z, m, o, e
| 6 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.35955095291137695,
0.4792046844959259,
-0.33762410283088684,
-0.421798974275589,
-0.03548886626958847,
-0.12765778601169586,
0.40118661522865295,
0.020442064851522446,
-0.20807898044586182,
0.05997749790549278,
-0.4317847490310669,
-0.2830136716365814,
0.24423256516456604,
-0.0215708594... |
Definition: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Input: Question: Does plasma TF activity predict cardiovascular... | yes | 2 | NIv2 | task846_pubmedqa_classification | zs_opt | [
0.31073981523513794,
-0.527382493019104,
-0.08190327882766724,
0.7000705003738403,
0.15101513266563416,
-0.521739661693573,
0.34404754638671875,
0.3559405207633972,
0.48831579089164734,
0.6424916386604309,
-1.0974602699279785,
0.07636018097400665,
-0.3659087121486664,
0.43731915950775146,
... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following:... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 8 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
0.3038502037525177,
-0.058993149548769,
-0.27178895473480225,
0.13041184842586517,
0.1252998560667038,
0.1741708517074585,
1.247888207435608,
0.09571138024330139,
-0.07253164798021317,
-0.19412869215011597,
0.3898279070854187,
0.14597702026367188,
-0.3243653178215027,
0.1412714719772339,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
نحن نعمل أيضا في التصميم.
Output: | We've also been working in design. | 1 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.8390728831291199,
0.4832291305065155,
0.2331639528274536,
-0.5212240219116211,
-0.26046812534332275,
0.018460329622030258,
0.32114699482917786,
0.12351936101913452,
0.9788632988929749,
0.32136446237564087,
-0.08968795835971832,
0.09751565009355545,
-0.27706795930862427,
0.13515235483646... |
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.
[EX Q]: Which 1982 album by Dire Staits included the tracks Telegraph Road, Private Investigations , Industrial Disease and It Never Rains?
[EX A]: love over gold
[EX... | frank hornby
| 6 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.014945589005947113,
0.5759291648864746,
-0.5951360464096069,
0.3465006947517395,
-0.43328970670700073,
-0.6617560386657715,
0.5689734220504761,
-0.6510149240493774,
0.028674351051449776,
-0.3195495307445526,
-0.5044520497322083,
0.091356061398983,
-0.8877912163734436,
0.43558406829833984... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Q: Sentence: 'two striped zebras are looking through a fence'. How many words end with the letter 'o' in the sentence.
A: | 1 | 4 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.15177971124649048,
1.089856505393982,
-0.4632478952407837,
-0.8260046243667603,
-0.7254980802536011,
-0.06224506348371506,
0.044902950525283813,
-0.015052823349833488,
0.3793240487575531,
-0.587973952293396,
-0.5484045743942261,
-0.29099446535110474,
-0.35204631090164185,
-0.16809725761... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Q: A street sign for queen street with a colorful repr... | Gujarati
****
| 4 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.7455313205718994,
0.29843929409980774,
0.2793746292591095,
-0.599246621131897,
-0.11772594600915909,
-0.8080402612686157,
-0.007460396736860275,
0.006409015506505966,
-0.09894290566444397,
-0.6811038851737976,
-0.41025683283805847,
0.11153685301542282,
0.0481637567281723,
-0.20488624274... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | DISSIMILAR
| 6 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
0.04391542822122574,
-0.07458584010601044,
-0.25118765234947205,
-0.23348572850227356,
0.11432944983243942,
-0.10433082282543182,
0.6667822599411011,
0.9332801699638367,
0.5139851570129395,
-0.0177883580327034,
-0.19098763167858124,
0.025798708200454712,
-0.6433049440383911,
-0.07311443984... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Example: Question: When did the operation during which the 704th... | Solution: 3 | 5 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.14197060465812683,
0.2627594769001007,
-0.5887652635574341,
0.00744814844802022,
0.5161895751953125,
-0.303885817527771,
0.6351419687271118,
1.2149996757507324,
0.11019717901945114,
0.20925411581993103,
-0.10076930373907089,
0.2349778562784195,
-0.3761190176010132,
-0.09883817285299301,
... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
One example: It 's a lovely film with lovely performances by Buy and Accorsi .
Solution is here: POS
Explanation: Th... | POS | 6 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.6899569630622864,
0.60276198387146,
0.2103271782398224,
-0.4344952702522278,
0.16413648426532745,
-0.5818291902542114,
0.7815780639648438,
0.2029964029788971,
0.16244417428970337,
0.15272802114486694,
-0.4074568748474121,
-0.5293346643447876,
0.4521358907222748,
0.3739640712738037,
0.... |
Detailed Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise ... | No | 9 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.292630672454834,
0.2027256190776825,
0.051559463143348694,
-0.16562581062316895,
-0.5891921520233154,
-0.8471363186836243,
0.11138372123241425,
0.5168529748916626,
0.507426917552948,
-0.16149234771728516,
-0.715070903301239,
0.08792760968208313,
-0.6878187656402588,
0.37058383226394653,... |
Instructions: We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the s... | Similar | 3 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.3859308362007141,
0.15352104604244232,
0.21685168147087097,
-0.0201367549598217,
0.15687644481658936,
-0.8261008262634277,
0.7602046132087708,
0.6647402048110962,
0.08137589693069458,
0.79366135597229,
-0.0654720813035965,
-0.23757895827293396,
-0.7337016463279724,
0.37045952677726746,
... |
Q: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
A Good Movie . Based on the autobiographical novel by Marguerite Duras, an erotic and sens... | POS | 7 | NIv2 | task483_cls_french_dvd_classification | zs_opt | [
-0.3928952217102051,
0.012123210355639458,
-0.4416830837726593,
0.08283507078886032,
0.3113363981246948,
0.31581565737724304,
0.6821330189704895,
0.8838118314743042,
0.004813557490706444,
0.35986804962158203,
-0.6606429219245911,
0.1401650607585907,
-0.3601464033126831,
-0.1827723532915115... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Ora, si potrebbe pensare: ah! C'è una soluzione: allucinazioni. | Teraz możecie pomyśleć, ach, istnieje na to odpowiedź: halucynacje! | 0 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.4843742549419403,
0.6894056797027588,
0.22787359356880188,
-0.10949742794036865,
-0.6508123278617859,
-0.483972430229187,
0.4311232566833496,
0.3244737684726715,
0.26155707240104675,
-0.321527361869812,
-0.4601231813430786,
-0.20966601371765137,
0.16572508215904236,
0.3752594590187073,
... |
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 one | 0 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.6418976187705994,
0.3546033799648285,
0.015678532421588898,
-0.16948427259922028,
-0.2753799855709076,
-0.7085844278335571,
0.8738400340080261,
0.6309432983398438,
-0.22206398844718933,
-0.009622016921639442,
-0.652944803237915,
-0.005169949494302273,
-0.999669075012207,
0.2024669647216... |
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 shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer... | کدام رشته کوه در نیوزلند است؟ | 0 | NIv2 | task468_parsinlu_rc_question_generation | fs_opt | [
-0.1635514795780182,
0.7757399082183838,
-0.4730505347251892,
-0.5206164717674255,
-0.5693283081054688,
-0.31523385643959045,
0.17640617489814758,
0.66179358959198,
-0.23865890502929688,
0.00958453118801117,
-0.5071930885314941,
-0.10713741183280945,
-1.6086342334747314,
0.7520703673362732... |
Teacher:In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: English: The iPhone is ... | No | 6 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.08328689634799957,
-0.0258138719946146,
0.9190816879272461,
-0.3248652219772339,
0.4172637462615967,
-0.887767493724823,
-0.6420150995254517,
0.47152650356292725,
-0.12837174534797668,
0.0942503958940506,
-0.10178599506616592,
0.0706111341714859,
-0.2978092432022095,
-0.7280277013778687... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
One example: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in two ... | No | 6 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.27390581369400024,
0.12887047231197357,
-0.7138750553131104,
-0.19422034919261932,
0.23490893840789795,
-0.5586291551589966,
0.22216078639030457,
1.2816548347473145,
-0.08563782274723053,
0.3138933777809143,
-0.3853353261947632,
-0.12676285207271576,
0.4041275084018707,
-0.0103753041476... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: ZOOLOGY
Clue: This floating sea creature which resembles a... | man-o\'-war | 9 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-1.1603082418441772,
0.2992144823074341,
-0.6962761878967285,
-0.5115405917167664,
-0.10146462917327881,
-0.006531753111630678,
0.4385493993759155,
-0.4031233787536621,
-0.4655750095844269,
-0.368253618478775,
0.37391793727874756,
0.04577324539422989,
-0.7889308333396912,
0.329821616411209... |
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".
[Q]: Japanese: スコットランドが同盟から離脱すれば、それはありえない。
Lao: ນັ້ນບໍ່ສາມາດເກີດຂຶ້ນ ຖ້າສະກອດແລນ ໄດ້ແຍກຕົວອອກຈາກສະຫະພັນ.
[A]: Y... | No
| 5 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.024881325662136078,
0.011786598712205887,
-0.007777715567499399,
0.07705669105052948,
0.13184522092342377,
-1.0813829898834229,
0.5326359272003174,
0.6733197569847107,
-0.043728794902563095,
-0.4985235035419464,
-0.26435327529907227,
0.7074095010757446,
-0.671449601650238,
0.08538525551... |
Instructions: In this task you will be given a list of strings and you need to concatenate them.
Input: ['j', 'v', 'a', 'R', 'thee', 'A', 'h', 'p', 'place,', 'k']
Output: | jvaRtheeAhpplace,k | 3 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.21215802431106567,
0.2548183798789978,
-0.23321640491485596,
-0.1351877748966217,
-0.09627614170312881,
0.3113027513027191,
0.6957177519798279,
-0.33759763836860657,
-0.0703069269657135,
0.23879817128181458,
-0.666598379611969,
0.00933004729449749,
-0.17155227065086365,
-0.4262080192565... |
Definition: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Input: Question: How long had Entertainment Tonight ... | 2 | 2 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.9923650026321411,
0.6259176731109619,
-0.9102522134780884,
0.32265713810920715,
0.16369324922561646,
0.16942641139030457,
0.8487808108329773,
1.0693503618240356,
-0.6075307726860046,
-0.16449609398841858,
0.111402727663517,
0.26882150769233704,
0.1927586942911148,
-0.45727741718292236,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and nou... | Abolition of Untouchability Article 17 abolishes and forbids its practice in any form . | 1 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.4436204433441162,
0.33426862955093384,
0.7595561742782593,
-0.24735787510871887,
-0.16921555995941162,
-0.7152815461158752,
0.7965446710586548,
0.3448002338409424,
0.35831117630004883,
0.019892482087016106,
-0.8787423372268677,
-0.2399493157863617,
-0.21995456516742706,
0.09153763949871... |
TASK DEFINITION: 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 ... | I sneeze >Causes> I feel(s) sick
| 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.04740111157298088,
-0.07114554941654205,
-0.27808916568756104,
-0.051086872816085815,
-0.028499316424131393,
-0.731671154499054,
0.9590864181518555,
1.3765801191329956,
-0.22290639579296112,
0.16700637340545654,
-0.2599504292011261,
0.36806556582450867,
-0.13640671968460083,
-0.058958053... |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Problem:Sentence: 'a decorative white clock sits on a white surface'. Find frequency of the letter 'r'
Solution: | 2 | 8 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.6653509736061096,
0.9746638536453247,
-0.27423471212387085,
-0.04693198949098587,
-0.15688946843147278,
0.8871142864227295,
-0.046703193336725235,
0.570152759552002,
0.3620411455631256,
0.18889449536800385,
-0.43909209966659546,
-0.653075635433197,
-0.6834572553634644,
0.393504232168197... |
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