inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral... | Entailment | 5 | NIv2 | task1385_anli_r1_entailment | zs_opt | [
-0.5574548840522766,
0.24975620210170746,
0.14094504714012146,
0.48064976930618286,
0.2650619447231293,
-0.39341315627098083,
0.036496397107839584,
0.3573896884918213,
0.6180261373519897,
0.2934325337409973,
-0.18980759382247925,
-0.5176389217376709,
-0.533255398273468,
-0.2869460582733154... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the... | a, c, d, f, g, j, k, m, p, t, w, x | 1 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.3660610318183899,
0.20548927783966064,
-0.09119328111410141,
-0.3291628360748291,
0.7781475186347961,
0.08484183251857758,
0.9237998723983765,
0.22564704716205597,
-0.1455923318862915,
0.19204068183898926,
-0.5392844080924988,
-0.43568435311317444,
0.0460318922996521,
-0.524774014949798... |
Given the task definition and input, reply with output. Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
How many subtypes of T, sorry, B cells exist?
| How many subtypes of B cells exist? | 5 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.8708000183105469,
0.763708233833313,
0.008724015206098557,
-0.18150721490383148,
0.36752164363861084,
0.08540669083595276,
0.3472657799720764,
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-0.28779250383377075,
-0.7394444942474365,
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0.12878359854221344,
0.060769878327846... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereo... | Unrelated | 0 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.04805587977170944,
0.4312793016433716,
-0.3483538031578064,
0.18399539589881897,
-0.03920518979430199,
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0.7398032546043396,
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-0.6298859119415283,
-0.04275238886475563,
-0.5411427617073059,
0.017153833061456... |
Teacher: 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 c... | c | 2 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.45046889781951904,
0.4180067181587219,
-0.1925124228000641,
-0.6757646799087524,
0.5329854488372803,
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1.2901279926300049,
0.9003878831863403,
0.11106869578361511,
0.6182011365890503,
-0.0319695807993412,
0.2954694628715515,
-0.2997128963470459,
-0.12640948593616486,
... |
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 user's questions or follo... | Output: agent
| 2 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.3318150043487549,
0.38814741373062134,
-0.12140008807182312,
0.052991028875112534,
-0.304195761680603,
-0.19424974918365479,
0.5052328109741211,
0.15654845535755157,
0.4990697503089905,
0.28008735179901123,
-0.32058900594711304,
-0.040402162820100784,
-0.6192402839660645,
0.025212425738... |
TASK DEFINITION: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in ... | The palm of the hand is not good for stoking fires.
| 8 | NIv2 | task1620_menyo20k-mt_yo_en_translation | fs_opt | [
-0.3701344430446625,
0.05445009469985962,
-0.03377995640039444,
0.4011300802230835,
0.24312037229537964,
-0.3598768413066864,
0.8086515665054321,
0.5789065361022949,
-0.26590538024902344,
-0.31395095586776733,
-0.08679057657718658,
0.11294100433588028,
-0.3775274455547333,
0.16472651064395... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Part 2. Example
Isto inclúe un sistema en árabe chamado al-jebra.
Answer: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated i... | Ha un'assicurazione per coprire la prescrizione? | 7 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.30908674001693726,
1.2278965711593628,
-0.28484752774238586,
0.10925999283790588,
-0.42762190103530884,
-0.4503304660320282,
1.1242449283599854,
0.6842924356460571,
-0.9148849248886108,
-0.2807483673095703,
-0.5833661556243896,
0.011590893380343914,
-0.8274956941604614,
0.31382513046264... |
Part 1. Definition
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the followin... | 2. | 7 | NIv2 | task028_drop_answer_generation | fs_opt | [
1.0026167631149292,
0.37242627143859863,
-0.48548075556755066,
-0.2827931046485901,
0.7026263475418091,
-0.9735351800918579,
0.9305122494697571,
0.4466184973716736,
0.49697378277778625,
0.4031592011451721,
-0.30764782428741455,
0.3782343566417694,
-0.8274320363998413,
0.19902187585830688,
... |
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 Spanish. Your job is to translate the Spanish sentence into Italian.
Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Why? The... | Potete aggiungere alla pellicola una terza dimensione. | 0 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.43218547105789185,
0.5463582277297974,
-0.5524331331253052,
-0.17890039086341858,
-0.7648301124572754,
0.18072715401649475,
0.8139057159423828,
0.9393635988235474,
0.01133150327950716,
-0.5345385074615479,
-0.147055983543396,
-0.01006314903497696,
-0.19867341220378876,
0.766653060913085... |
Definition: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The que... | Question: Whose name does Claire stumble upon while reading the dead passenger list?, Answer: Claire Summers | 2 | NIv2 | task182_duorc_question_generation | zs_opt | [
-0.23283806443214417,
0.10703860223293304,
-0.30580824613571167,
-0.34556227922439575,
0.4894261360168457,
-0.07376820594072342,
0.9249455332756042,
0.6991879940032959,
-0.4839492738246918,
0.09133560955524445,
0.12251971662044525,
0.2818783223628998,
-0.4003201425075531,
0.291184723377227... |
You will be given a definition of a task first, then some input of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the ... | red_pantry | 1 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.1733027994632721,
-0.3629392385482788,
-0.4291425943374634,
-0.07591134309768677,
-0.057794734835624695,
-0.32567107677459717,
0.27141088247299194,
0.8095134496688843,
-0.10762526094913483,
-0.42367225885391235,
-0.07256019115447998,
0.5915630459785461,
-0.21769750118255615,
0.3040947616... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 23415 | 0 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.10847775638103485,
0.5158460140228271,
0.05745204538106918,
-0.027261920273303986,
-0.39533531665802,
-0.11672550439834595,
0.044744573533535004,
0.8100754618644714,
-0.4363229274749756,
0.4297291934490204,
-1.2308237552642822,
-0.6291035413742065,
-0.7290105819702148,
0.061047673225402... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Pero una de las cosas que estamos descubriendo es que el viento, como la energía solar, es relativamente una fuente diluída de energía
Student: | Ma ciò che sta venendo alla luce è che il vento, come il sole, è in realtà una fonte d'energia relativamente dispersiva. | 6 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.24863971769809723,
1.131340503692627,
-0.2010350525379181,
-0.9765979051589966,
-0.9039441347122192,
-1.2396926879882812,
0.1496959775686264,
1.0369205474853516,
0.15648838877677917,
-0.36559176445007324,
0.12240590155124664,
-0.3138982355594635,
-0.2961444556713104,
-0.3017258048057556... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
[EX Q]: Cont... | Which company is the parent company of Foodtown?
| 6 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.0036852569319307804,
0.04717828333377838,
-0.17995929718017578,
0.2396564781665802,
-0.1864611804485321,
0.818588137626648,
0.29618412256240845,
0.6251117587089539,
0.052905261516571045,
0.3585878610610962,
-0.21708561480045319,
0.761411190032959,
-0.7467025518417358,
-0.0659652873873710... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Ex Input:
Como ya son unos expertos en protocélulas, haremos un juego con estas protocélulas.
Ex Output:
みなさんもプロトセルの専門家になりましたのでプロトセルでゲームをしてみましょう
Ex Input:
Pienso que estamos en el inicio de una revolución colaborativa ... | アメリカ人はテロがあるからというだけで憲法をゴミ箱行きにするつもりなんでしょうか ？
| 1 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.2508109509944916,
0.07131342589855194,
-0.6120493412017822,
0.13957756757736206,
-0.5142903923988342,
-0.25871962308883667,
1.0043319463729858,
0.5061798095703125,
0.21101754903793335,
-1.1994829177856445,
-0.21248596906661987,
0.26343831419944763,
-0.0647982507944107,
-0.60382020473480... |
Part 1. Definition
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Part 2. Example
[1, 2, 3]
Answer: [0.167, 0.333, 0.500]
Explanation: The output list sums to 1.0... | [ 0.097 0.102 -0.023 0.251 0.197 0.138 0.195 -0.035 0.079] | 7 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.19911259412765503,
0.31778454780578613,
-0.9347987174987793,
-0.6359634399414062,
0.4586082696914673,
0.10949738323688507,
0.910031259059906,
0.005907778162509203,
0.25631263852119446,
-0.0324750617146492,
-0.9910455346107483,
0.3085733950138092,
-0.45065295696258545,
-0.603286027908325... |
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".
Q: English: He criticised the outgoing head of the U.N.'s climate secretariat, Yvo de Boer... | Yes | 4 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.6328250169754028,
0.2716316282749176,
-0.0031840880401432514,
0.7791574001312256,
0.359341025352478,
-1.0648455619812012,
-0.03820126876235008,
-0.2248782068490982,
-0.4206107556819916,
-0.31691446900367737,
0.022188812494277954,
0.2541869580745697,
-0.49483877420425415,
0.3960357010364... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Solution: Option D | 5 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.9435858726501465,
0.195721834897995,
-0.4593886733055115,
-0.5612753629684448,
0.2162897288799286,
-0.5218293070793152,
0.6483808159828186,
1.2222460508346558,
-0.1562502533197403,
-0.3310054540634155,
-0.5210019946098328,
0.22150754928588867,
-0.38703739643096924,
-0.35057488083839417,
... |
Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Input: 1, 1, ['p', 'o', '4769', '431']
Output: | p, o, 4769, 431 | 3 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.12757234275341034,
0.15428589284420013,
-0.9679678678512573,
-0.5398373603820801,
-0.8791523575782776,
0.2564614713191986,
0.7151800990104675,
-0.5295149087905884,
0.06297330558300018,
-0.21797586977481842,
-0.39034953713417053,
-0.5592798590660095,
0.24052201211452484,
0.041454911231994... |
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)
Example input: Passage: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant l... | 1 | 3 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.39897608757019043,
0.971341609954834,
-0.570662260055542,
0.39173513650894165,
0.9052464962005615,
-0.5440849661827087,
1.4827139377593994,
1.223882794380188,
-0.03905359283089638,
-0.1693716198205948,
-0.4223000407218933,
0.9260306358337402,
-1.119463562965393,
-0.1449824571609497,
-0... |
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 Hebrew. Your job is to translate the Hebrew sentence into Galician.
"אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים.... | Se Auguste estivese viva hoxe, non lle daríamos prestado máis axuda da que Alois puido darlle hai 114 anos. | 0 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.8211760520935059,
0.46897631883621216,
0.3979351818561554,
-0.5995095372200012,
-0.1984149068593979,
-0.015047539956867695,
0.6722961068153381,
0.17961353063583374,
-0.8031365871429443,
-0.21172428131103516,
0.19514869153499603,
-0.17136940360069275,
-0.3372901678085327,
-0.195150971412... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 7
| 6 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
0.7976311445236206,
-0.5223716497421265,
-0.09683991968631744,
0.7901709079742432,
0.8122189044952393,
-0.16750192642211914,
-0.058803655207157135,
0.972628116607666,
-0.6881575584411621,
0.20560747385025024,
0.14777064323425293,
0.6001523733139038,
-0.4652235507965088,
0.6980533003807068,... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if i... | Literature | 1 | NIv2 | task521_trivia_question_classification | zs_opt | [
0.33958590030670166,
0.7717599868774414,
-0.4714973568916321,
0.4669930338859558,
-0.036604251712560654,
-0.13335970044136047,
0.3943379819393158,
0.5654276609420776,
-0.22015058994293213,
-0.14166787266731262,
-0.43369436264038086,
0.051300689578056335,
-0.12918059527873993,
-0.0597251430... |
Detailed Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify which one of following five services the sentence is related to - Media, Travel, Flights, Buses, RideSharing
Q: Where can I watch movies online?
A: | Media | 9 | NIv2 | task881_schema_guided_dstc8_classification | zs_opt | [
0.10500049591064453,
-0.015454165637493134,
0.40115058422088623,
0.006223160773515701,
-0.1832396239042282,
1.4398746490478516,
0.6895233988761902,
0.6000475883483887,
0.12428828328847885,
0.16241157054901123,
0.04526948183774948,
-0.8090696334838867,
0.014258453622460365,
-0.0717415288090... |
Detailed Instructions: In this task, you need to count the occurrences of the given word in the given sentence.
Q: Sentence: 'black and white photograph of a park bench in woods'. Count the occurrences of the word 'white' in the given sentence.
A: | 1 | 9 | NIv2 | task158_count_frequency_of_words | zs_opt | [
0.22050830721855164,
1.0783541202545166,
-0.8028604388237,
-0.8428289890289307,
-0.6549862623214722,
0.20695343613624573,
0.430264413356781,
0.6640545129776001,
0.6744323372840881,
0.24882104992866516,
-0.10934997349977493,
-0.347506046295166,
-0.4522213339805603,
1.0620653629302979,
-0.... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No
| 7 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt | [
0.723349928855896,
0.6166642904281616,
-0.41823601722717285,
-0.2478085160255432,
-0.14430725574493408,
-1.3048555850982666,
1.0074784755706787,
0.8818199634552002,
-0.737786054611206,
0.1815480887889862,
0.47888654470443726,
0.13772998750209808,
-1.0374698638916016,
0.08903821557760239,
... |
Part 1. Definition
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresse... | Neutral | 7 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.23072656989097595,
-0.25769293308258057,
0.7278273701667786,
0.46339744329452515,
0.4654965400695801,
-1.2489374876022339,
0.47566741704940796,
0.5663102269172668,
-0.07868850231170654,
0.10256493091583252,
-0.5125102996826172,
0.010513890534639359,
-0.342343270778656,
-0.45384544134140... |
TASK DEFINITION: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
PROBLEM: isizisiiziiis
SOLUTION: isizisi... | essesse
| 8 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
0.03133774548768997,
0.940946638584137,
-0.04661480337381363,
-0.4741646647453308,
-0.1596725881099701,
0.010040641762316227,
1.2527021169662476,
-0.6302273273468018,
0.11331835389137268,
-0.03737689554691315,
-0.8073207139968872,
0.19365675747394562,
-0.6504073143005371,
0.577716827392578... |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Problem:Germaine (interprétée par la remarquable Annie Girardot) est femme de ménage ; elle se déplace quotidiennement chez trois clients : Fra... | 1 | 8 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.23841619491577148,
0.4373706579208374,
-0.8002904057502747,
-0.374444842338562,
0.4365828037261963,
0.08142296969890594,
0.2556808590888977,
0.5493829250335693,
-0.3000963628292084,
0.5556995272636414,
-0.23212458193302155,
-0.024725351482629776,
-0.7191187739372253,
-0.47323077917099,
... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 354
| 1 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.3872760534286499,
0.8566786646842957,
-0.7797061204910278,
-0.6211389303207397,
-0.30984216928482056,
-0.48422664403915405,
0.9113078117370605,
1.0543122291564941,
0.14191053807735443,
-0.9504972696304321,
-0.6682522296905518,
0.8429047465324402,
-1.0643274784088135,
0.0744549110531807,
... |
Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Q: WOW THIS GUY TALKS LIKE A RETARD HAHAHAHAHAH
A: | hate | 4 | NIv2 | task1604_ethos_text_classification | zs_opt | [
0.12367932498455048,
1.2876713275909424,
0.8411210179328918,
-0.20236751437187195,
-0.31456494331359863,
-0.6226799488067627,
0.5274595022201538,
0.703355610370636,
0.25670433044433594,
0.04562738910317421,
-0.12752215564250946,
0.26790979504585266,
-0.7043479084968567,
-0.1242435276508331... |
Instructions: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at l... | 28 | 3 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.739605188369751,
1.10060715675354,
0.03783776983618736,
-0.7976076602935791,
0.019452612847089767,
-0.24589118361473083,
1.291558027267456,
-0.15824466943740845,
0.3449232876300812,
-0.876937747001648,
-0.052146460860967636,
-0.08414556086063385,
-0.8901791572570801,
-0.5185121893882751,... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | cCsbbddknooqqssuwyjJH, RYRoVTJXmLbbddknooqqssuwyXZNc | 4 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
-0.158503919839859,
0.9978002309799194,
-0.2229022979736328,
-0.04656665772199631,
-0.2729170322418213,
-0.025968994945287704,
0.5193780660629272,
-0.35629695653915405,
0.45819413661956787,
0.14628075063228607,
-0.8685968518257141,
-0.14363619685173035,
0.07361331582069397,
0.2262101471424... |
Instructions: 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 the... | How many times was the armistice renewed? | 3 | NIv2 | task184_break_generate_question | zs_opt | [
0.5927660465240479,
0.28106868267059326,
-1.0320848226547241,
0.6844799518585205,
0.23079867660999298,
-0.5219801664352417,
1.0512089729309082,
0.3843390941619873,
-0.344407856464386,
0.588630735874176,
-0.5121190547943115,
0.34479308128356934,
-0.09189435839653015,
0.12255869805812836,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX got a lien put on his house so PersonY lent him some money which _ promised to pay back as soon as possible.
Sentence 2: PersonX got a lien put on his house so PersonY lent him some money which _ expected to be paid back as soon as possible. | 0 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.09872092306613922,
0.2795347273349762,
0.008446920663118362,
-0.21751083433628082,
0.3969160318374634,
-0.16715268790721893,
0.6391957998275757,
0.6466630101203918,
-0.28535693883895874,
-0.7152632474899292,
-0.5059808492660522,
-0.19108045101165771,
-0.4645621180534363,
0.00344652729108... |
TASK DEFINITION: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them... | 1 Tsp baking soda Toothpaste of your choice Gloves or sponge(optional) Dab on before bed and wash in the morning
| 8 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.005069682840257883,
0.8664475679397583,
-0.1922129988670349,
0.02114901691675186,
-0.4472964406013489,
-0.13473141193389893,
0.13619518280029297,
0.3066316843032837,
0.030691174790263176,
0.15348653495311737,
-0.32486528158187866,
0.28568035364151,
-0.291083425283432,
0.1093796044588089... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesi... | یوهان اسوندسن هیچ شراکتی با افرادی با نام احمد نداشت. | 1 | NIv2 | task464_parsinlu_entailment_sentence_generation | fs_opt | [
-0.954143226146698,
0.8881368637084961,
0.10924054682254791,
0.09899790585041046,
-0.2110888510942459,
-0.40298354625701904,
0.15020763874053955,
0.29642197489738464,
0.16264238953590393,
-0.241744726896286,
-0.5283222198486328,
0.4036962687969208,
0.14283698797225952,
-0.00708781834691762... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | The man is wet. | 8 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.23054376244544983,
0.9989908933639526,
-0.0821329653263092,
-1.5800570249557495,
-0.12794825434684753,
-0.2311469167470932,
0.19949671626091003,
0.6766039133071899,
0.17692428827285767,
-0.36353135108947754,
-1.0240278244018555,
-0.591920018196106,
-0.9344843029975891,
-0.06751874089241... |
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 consistency, answers should be in all lower cased letters.
[Q]: Category: SNOWY SONGS
Clue: He "looked out on the feast of Stephen, when the snow lay r... | steamed
| 5 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.5212770700454712,
0.8180221319198608,
-0.03697490692138672,
-0.3732103705406189,
-0.1186128482222557,
-0.3290986120700836,
0.14528951048851013,
0.37137070298194885,
0.49492013454437256,
-0.022702332586050034,
-0.03214069828391075,
-0.35830068588256836,
-0.752966046333313,
0.234591856598... |
TASK DEFINITION: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
PROBLEM: Hi! I would like to know about Massachusetts
Hello!! Massachusetts is a state within the USA! Many people do not know this but, it;s official name is the "Commonwealth of Massachu... | Kiribati
| 8 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
1.2803423404693604,
-0.13433223962783813,
-0.5781323909759521,
0.07818490266799927,
0.5277339816093445,
-0.42584681510925293,
0.43318644165992737,
0.7186827063560486,
-0.5362950563430786,
0.08444518595933914,
0.15428900718688965,
0.21448272466659546,
-0.1380884349346161,
0.0452396310865879... |
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'.
Q: Context: In 1976 church president Neil Alb... | Answer: none | 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.44695335626602173,
0.3885047435760498,
-0.05794605240225792,
-0.07463060319423676,
-0.3091375231742859,
-0.3477289378643036,
0.7386769652366638,
0.5859559774398804,
0.5953913927078247,
0.12291614711284637,
0.2803196609020233,
0.2326475977897644,
-0.7172949910163879,
-0.16086773574352264,... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
See one example below:
Problem: Gracias.
Solution: Grazas.
Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.
Problem: Finalmente, Hasbro me i... | Finalmente, Hasbro invitoume á súa sé para amosarme a súa nova cociniña en negro, plata e azul. | 4 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.6029332280158997,
0.5211672186851501,
-0.1210918053984642,
-0.591704249382019,
-0.24555248022079468,
-1.1739614009857178,
0.08673900365829468,
0.5455895662307739,
-0.08877765387296677,
0.11721870303153992,
-0.3118283748626709,
0.44471198320388794,
-0.5725181102752686,
0.279837042093277,... |
Detailed Instructions: Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. ... | Which sports performer comes from the same birth place as [BBC Radio 1]? | 9 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.0455465242266655,
0.17487816512584686,
-0.6771867275238037,
-0.17311711609363556,
0.34710705280303955,
0.6928744316101074,
0.3590705692768097,
0.49329444766044617,
0.27935922145843506,
-0.23923465609550476,
-0.7941651940345764,
0.49192941188812256,
-0.8871129155158997,
-0.331278383731842... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example input: Article: Homework can p... | No | 3 | NIv2 | task310_race_classification | fs_opt | [
0.7304957509040833,
0.13033369183540344,
-0.7748522758483887,
0.009748851880431175,
0.6088182926177979,
-0.3131515383720398,
1.2593703269958496,
0.9478384852409363,
-0.22805188596248627,
0.15090912580490112,
0.13164959847927094,
0.154977485537529,
-0.23967517912387848,
0.11841191351413727,... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
نومید کننده است ، غم انگیز است.
| È scoraggiante, è triste. | 5 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.315697193145752,
1.3729565143585205,
0.4030613303184509,
-0.18065305054187775,
-0.2852053940296173,
-0.18305496871471405,
0.6211655139923096,
0.5425227880477905,
0.3014506697654724,
-0.08841071277856827,
-1.2723809480667114,
0.9095606207847595,
-0.0613284632563591,
0.5661256313323975,
... |
Detailed Instructions: In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Problem: Often it just consists of a number indicating the length because many shoemakers only provide a standard width for economic reasons.
Solution: | බොහෝ සපත්තු නිර්මාණකරුවන් ආර්ථික හේතුන් මත සම්මත පළලක් පමණක් සපයන බැවින් එහි දිග පමණක් සඳහන් වන අංකයක් දැක්වෙයි. | 8 | NIv2 | task604_flores_translation_entosn | zs_opt | [
-0.19308611750602722,
0.2808675467967987,
-0.19882985949516296,
-0.09214012324810028,
-0.5680402517318726,
-0.7476904392242432,
0.014264227822422981,
0.6733716726303101,
-0.03390583395957947,
-0.019108880311250687,
-0.011035782285034657,
0.4011935293674469,
-0.06556734442710876,
0.19995725... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene | 3 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.8245114684104919,
-0.025334980338811874,
0.534366250038147,
0.32857614755630493,
0.5548953413963318,
-0.5030139684677124,
-0.013126518577337265,
0.30963200330734253,
0.05014897882938385,
0.5338853597640991,
-0.08069899678230286,
-0.09013035893440247,
-0.024248242378234863,
-0.6947897672... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Part 2. Example
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Answer: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية... | فعلا ، يمكن أن يتبادلا معلومات عبر القوى الميكانيكية. | 7 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.23229411244392395,
0.5215683579444885,
-0.12645600736141205,
-0.6920946836471558,
-0.24888673424720764,
-0.28671979904174805,
0.7472591996192932,
0.6407936811447144,
0.45405593514442444,
-0.4381510019302368,
-0.8247570991516113,
0.394802987575531,
-0.30544865131378174,
0.382742077112197... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, o... | Yes | 0 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.6091907024383545,
0.4535146951675415,
0.5457165241241455,
-0.14372791349887848,
-0.060326993465423584,
-0.12832215428352356,
0.6281468868255615,
0.34685593843460083,
0.6055508255958557,
-0.07241909205913544,
0.6839016675949097,
0.9163228869438171,
-0.3012472093105316,
0.5545920133590698... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | Solution: run opposite right twice after walk left thrice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.30406254529953003,
0.5212424397468567,
-0.4579037129878998,
0.07885507494211197,
-0.13665974140167236,
0.28127214312553406,
0.1638340801000595,
0.7243844866752625,
-0.3459080457687378,
-0.19403278827667236,
-0.7970830798149109,
-0.5245838165283203,
-0.7748066186904907,
-0.126741126179695... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: ມີທາງຄ້ອຍຊັນເລັກນ້ອຍຢູ່ກ້ອງລົດບັດ ແລະ ທາງທ້າຍລົດເບິ່ງຄືວ່າຈະຮອດກ້ອງທາງລົງ ຫຼັງຄາທາງຫຼັງຂອງລົດແມ່ນຍຸບລົງ.
Answer: バスの下にはゆるい坂があり、その後ろ... | 3月に東部の安徽省で、6歳以下の子どもがこのウイルスの症状で病院に入院したのを手始めに、この発生はその後急速に拡大した。
| 7 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.29792582988739014,
-0.4871681332588196,
-0.1679934710264206,
-0.14747700095176697,
-0.5449944138526917,
-0.4554779529571533,
0.7483527660369873,
0.5311499834060669,
-0.22410795092582703,
-0.46113479137420654,
-0.3707907199859619,
0.6507701873779297,
-0.4862695038318634,
0.08225205540657... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
दावों के लिए शेफ़ील्ड की प्रतिक्रिया काफी सरल थी: जब उनसे पूछा गया कि क्या उ... | "The US has announced that it is imposing new sanctions on Iran, Oil markets also continued to have an eye on developments related to the current tensions between Turkey and Kurd rebels in Iraq."
| 0 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-1.0026692152023315,
0.41415679454803467,
0.8822166919708252,
-0.757555365562439,
-0.009625294245779514,
-0.9057273268699646,
0.5780826807022095,
0.6612758636474609,
0.0046532126143574715,
0.13983947038650513,
-0.6232964992523193,
-0.6890843510627747,
-0.9060973525047302,
-0.41086378693580... |
Q: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, the... | What is the name of the place that is now a popular shopping and tourist site? | 7 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.24187646806240082,
1.1583362817764282,
-0.41101720929145813,
-0.05502524971961975,
0.7234092950820923,
-0.6486110687255859,
0.741580605506897,
0.7765580415725708,
0.3437069058418274,
0.19389572739601135,
-0.1946663111448288,
0.7698008418083191,
-1.009631633758545,
0.4015255272388458,
-... |
Given a text passage, you need to generate a suitable title as the output. The output title should be one of the words/phrases used in the passage and must be no longer than five words.
--------
Question: Paragraph: The plain maskray generally hunts at the surface of the bottom substrate , rather than digging for p... | Gameplay
| 7 | NIv2 | task602_wikitext-103_answer_generation | fs_opt | [
0.5256776809692383,
0.1486896276473999,
-0.8105319738388062,
0.31643298268318176,
0.5861063003540039,
-0.22318196296691895,
0.9521279335021973,
0.8507688641548157,
-0.20519226789474487,
0.45451995730400085,
0.07462936639785767,
0.04916141554713249,
-0.3496924042701721,
0.0361403152346611,
... |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: जे साखर कारखाने विशिष्ट अटी पूर्ण करणार आहेत, त्यांच्याच सभासदांना प्रति क्विंटल 5.
A: | گنا کاشت کاروں کے بقایاجات کی ادائیگی کی خاطر چینی ملوں کی امداد کی غرض سے سرکار نے 2017-18 کے گنا پیرائی کے سیزن میں پیرے جانے والے گنے پر 5. | 4 | NIv2 | task989_pib_translation_marathi_urdu | zs_opt | [
1.060682773590088,
0.7518972158432007,
-0.4002736210823059,
0.16897593438625336,
-0.20149540901184082,
-0.10287962853908539,
0.09069456160068512,
0.22128503024578094,
-0.08090570569038391,
0.2377546727657318,
-0.40195780992507935,
-0.7580331563949585,
-0.23814654350280762,
0.87225204706192... |
In this task, you're given a passage, 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'.
Passage: The song became Rihanna's thirteenth ... | Answer: Beyoncé Giselle Knowles-Carter | 0 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
-0.11175885796546936,
0.9602387547492981,
-0.09462741017341614,
0.4975344240665436,
0.416923463344574,
-0.3655346632003784,
-0.17255043983459473,
0.5899096131324768,
-0.03443161025643349,
0.6040685176849365,
0.050059445202350616,
-0.322279691696167,
-0.26863378286361694,
-0.211701005697250... |
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a ... | Output: iving
| 2 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.24012410640716553,
0.03732144087553024,
-0.31664925813674927,
0.06568877398967743,
0.1520448923110962,
-0.3520270586013794,
0.8536401987075806,
0.35135507583618164,
-0.1373767852783203,
0.4032837152481079,
-0.44749149680137634,
-0.19623370468616486,
-0.4853125214576721,
-0.6022123694419... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Bob want(s) new counters >Motivates> Bob is happy to hear about the new counters | 3 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.5518141984939575,
0.13259738683700562,
-0.6696560382843018,
0.5184822082519531,
-0.10728436708450317,
-1.1556780338287354,
0.5442823171615601,
0.5824021697044373,
-0.3123876452445984,
-0.12966851890087128,
-0.7132879495620728,
0.17938949167728424,
-0.06983624398708344,
-0.076682038605213... |
instruction:
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupa... | constellation
| 9 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.1396041363477707,
-0.3724128007888794,
-0.3964026868343353,
0.03865800052881241,
0.11945843696594238,
0.17820340394973755,
-0.6125652194023132,
0.7944383025169373,
-0.21508391201496124,
0.09824025630950928,
-0.1785808503627777,
-0.8177149295806885,
0.05042382702231407,
-0.080194436013698... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If ... | she was Enduring | 1 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.01381702534854412,
0.6934250593185425,
-0.2823987603187561,
0.4891418516635895,
0.0024426705203950405,
0.21019957959651947,
0.46815037727355957,
0.606330394744873,
0.07254712283611298,
0.3730641007423401,
-0.40947508811950684,
-0.4861478805541992,
0.13565149903297424,
0.09193010628223419... |
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 | [
0.16573455929756165,
-0.06642681360244751,
-0.6556923985481262,
0.6986857056617737,
-0.2703642249107361,
-0.6216036677360535,
0.9336906671524048,
0.32229989767074585,
-0.3462485074996948,
-0.2301062047481537,
-0.6638031005859375,
0.19429004192352295,
0.19854742288589478,
0.1376412808895111... |
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 Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution: Y puede ... | Recibí alrededor de 3.000 emails. | 0 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.3546797037124634,
0.718712329864502,
0.44207093119621277,
-0.6787315607070923,
-0.3037877082824707,
-0.3032566010951996,
0.3629090189933777,
0.3976123332977295,
0.42079126834869385,
-0.780044674873352,
-0.3008038401603699,
0.17574870586395264,
-0.5796363353729248,
-0.11873568594455719,
... |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: In the Bible who was the wife of Ahab?
A: | ahab | 9 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.5256893634796143,
0.8182079792022705,
-0.3848346471786499,
0.05178827792406082,
-0.4776681065559387,
0.18522316217422485,
0.1714504510164261,
0.7348837852478027,
0.9527384638786316,
-0.18057450652122498,
-0.8175245523452759,
0.5577601194381714,
-1.0028879642486572,
-0.09607136249542236,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example Input: Dialogue 1: 'holding on thank you beamingfacewithsmilingeyes what do women think'. D... | yes
| 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.562545657157898,
0.3098989725112915,
0.41720128059387207,
-0.3838730454444885,
0.13639679551124573,
-0.025005994364619255,
1.1311427354812622,
0.6337471604347229,
0.16361990571022034,
-0.2893012762069702,
-0.11832790076732635,
-0.3291184604167938,
-0.20347344875335693,
-0.23251663148403... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Input: Consider Input: Quanto ao terceiro sinal vermelho, aquele assunto interdito, o que vos parece que seja?
Output: En cuanto a esa tercera línea roja, ya saben, ese tema fuera de los límites, ¿qué creen que pued... | Output: Y otra vez, y otra vez, y otra vez.
| 2 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.7991547584533691,
0.5405573844909668,
-0.3766440153121948,
-0.5424907803535461,
-0.2148037552833557,
-0.590972363948822,
-0.3900010883808136,
2.0304579734802246,
0.6016671657562256,
0.2189522683620453,
-0.3800974488258362,
0.7117210030555725,
0.019962940365076065,
-0.6826821565628052,
... |
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 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 fr... | Què conserva El cor baix? | 0 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.8032633662223816,
0.8621732592582703,
-0.6452934741973877,
0.24321216344833374,
0.6632127165794373,
-0.4421399235725403,
0.7558698654174805,
0.8954300880432129,
-0.3508424758911133,
-0.023683296516537666,
-0.18174470961093903,
0.19090765714645386,
-0.35582584142684937,
0.1896040737628936... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Q: The girl braids her hair together in french braids.
A: The girl adds hair product to her hair and combs it through with her hands.
****
Q: There are five people underwater with ... | The man drinks from a bottle of water.
****
| 4 | NIv2 | task455_swag_context_generation | fs_opt | [
0.09822408109903336,
0.945197582244873,
-0.9794296026229858,
-0.7172544002532959,
-0.03145761042833328,
0.03301886469125748,
0.16231462359428406,
0.4993124306201935,
0.2729722857475281,
0.33356842398643494,
0.025584595277905464,
0.13943780958652496,
-0.01578577235341072,
-0.439830869436264... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 931, 13245
Rationale: Here, every 3rd element from array are 'a', '931', and '13... | 2811, Q, H | 9 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.11763092130422592,
0.25619441270828247,
-0.35693323612213135,
-0.7749320268630981,
-0.4670981764793396,
-0.045341864228248596,
0.6337661743164062,
-0.04309540241956711,
-0.146112859249115,
-0.3058198094367981,
-1.0302925109863281,
-0.11387111246585846,
-0.20172807574272156,
-0.1308925151... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Input: ﻓﻜﺮﻭﺍ ﺑﻬﺬﺍ ﻟﺪﻗﻴﻘﺔ
Output: | Pomyślmy o tym przez chwilę. | 2 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.5281751155853271,
0.573958158493042,
-0.21288283169269562,
-0.22856053709983826,
-1.0008094310760498,
0.00918434839695692,
1.054046392440796,
-0.36453935503959656,
0.8973976373672485,
-0.3236861526966095,
-0.6569522023200989,
0.23999108374118805,
-0.11996372044086456,
0.0859315916895866... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts speci... | Alimentum providing fast food less than £20 price range. It is located in city center. | 1 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.15004518628120422,
0.29165762662887573,
-0.5857586860656738,
-0.17397093772888184,
0.046188872307538986,
0.012436462566256523,
0.7846018075942993,
1.133678913116455,
-0.402889609336853,
-0.2683074474334717,
-0.30764228105545044,
-0.13456162810325623,
-0.40916141867637634,
-0.38449990749... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
در جهان آنلاین ، ما می توانیم اثر اقلیت را با تبدیل شدن به افرادی مقاوم پرورش دهیم.
A: | In the online world, we can foster minority influence by becoming upstanders. | 7 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-1.4423301219940186,
1.438423752784729,
0.49679479002952576,
0.1755657196044922,
-0.5452954769134521,
-0.9050502181053162,
0.7121217250823975,
0.5419999361038208,
0.7826140522956848,
0.38784313201904297,
-0.17701542377471924,
1.0787550210952759,
-0.7588836550712585,
-0.14338909089565277,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'when where you born or created 28th oct 1997 birthday is coming up its gone its 31st ... | yes | 0 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.8610986471176147,
0.2581663727760315,
0.24982652068138123,
-0.6077411770820618,
-0.6404587030410767,
-0.30231645703315735,
0.7627747058868408,
0.18017247319221497,
-0.07559114694595337,
-0.15372586250305176,
-0.06068816035985947,
-0.3582884967327118,
-0.5152217149734497,
-0.115314073860... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
--------
Question: ingredients: '3 cups farfalle (bow-tie pasta), uncooked', '4 cups small broccoli florets', '1 red pepper, chopped', '1 small red onion, sliced, separated into rings', '4 carrots, cut diagonally ... | Lemon-Pepper Fettuccine
| 7 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
1.0171939134597778,
0.5188754200935364,
-0.3998126983642578,
0.5974131226539612,
0.43649324774742126,
-0.19945326447486877,
0.9000691175460815,
1.0166611671447754,
-0.6208420991897583,
0.10534663498401642,
0.21722443401813507,
0.2866451144218445,
-0.438640296459198,
0.2737555503845215,
-... |
Teacher:In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Teacher: Now, understand the problem? Solve this instance: [52, -71,... | [52, -71, 37, 97, 85, 26, -35] | 6 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.41613519191741943,
-0.15681087970733643,
-0.3751184940338135,
-0.795302152633667,
0.23322312533855438,
-0.11609797179698944,
0.9486157298088074,
0.3879843056201935,
0.047049615532159805,
0.40250980854034424,
-0.4598343074321747,
-0.42245739698410034,
-0.12064063549041748,
-0.42021742463... |
Detailed Instructions: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Problem:According to available information, the quotas in s... | English | 8 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.06693622469902039,
0.7448070049285889,
0.4727177023887634,
-0.20848017930984497,
0.11092811822891235,
-0.9270098209381104,
0.31272971630096436,
0.8730219006538391,
0.003767237067222595,
-0.35773855447769165,
-0.2273683100938797,
0.061476826667785645,
0.2258514016866684,
-0.4252750277519... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 2 | 9 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.32591062784194946,
0.4094073474407196,
0.15552325546741486,
0.011308189481496811,
0.2001863718032837,
-0.2269027680158615,
0.3280647099018097,
1.273728370666504,
0.16368241608142853,
0.3419533967971802,
0.06691217422485352,
-0.8181890845298767,
-0.3351200222969055,
-0.6866670846939087,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Example input: Comment: i am just sorry t... | Toxic | 3 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.7454367876052856,
0.6077027320861816,
0.805729866027832,
-0.1627204269170761,
-0.07640166580677032,
-0.9955734014511108,
1.1150627136230469,
0.03940482437610626,
0.5021764636039734,
0.9191123247146606,
-0.22703728079795837,
-0.16592231392860413,
-0.8385342359542847,
-0.7406450510025024,... |
Detailed Instructions: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter,... | 18 | 8 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.40592923760414124,
0.8031339049339294,
0.08323763310909271,
-0.9200736284255981,
-0.015583943575620651,
-0.19882692396640778,
1.6645784378051758,
-0.3038923442363739,
0.2025778889656067,
-0.8506119251251221,
-0.020320221781730652,
-0.17665205895900726,
-1.0743966102600098,
-0.23754939436... |
Given the task definition and input, reply with output. 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 ele... | Ob17423255I9227346e30789754a54065026C1375s5559F73949492piy | 5 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
0.23242402076721191,
0.0943617969751358,
-0.1609562486410141,
-0.20621754229068756,
0.1350155919790268,
-0.2744874954223633,
0.3797001540660858,
0.29413384199142456,
-0.7786638140678406,
-0.2105138599872589,
-1.0890077352523804,
-0.12352391332387924,
-0.13815972208976746,
-0.01191627047955... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ティーンエージャーは警官に向かっ... | Yes | 1 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.5019000172615051,
0.08149494230747223,
0.3502964675426483,
-0.25563693046569824,
0.2084101289510727,
-0.5128666162490845,
0.335951030254364,
0.8180123567581177,
0.039450883865356445,
-0.04393068701028824,
-0.5873825550079346,
0.28073015809059143,
-0.8309832811355591,
0.07934479415416718... |
Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only:... | for the team records of all rows , most of them fuzzily match to rothmans honda . | 3 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.2590258717536926,
-0.16231298446655273,
-0.47227907180786133,
-0.0007316869450733066,
0.006469902116805315,
-0.26448768377304077,
0.42253899574279785,
0.3693062663078308,
0.2827262878417969,
-0.3927448093891144,
-0.7308724522590637,
-0.10931068658828735,
0.2782452702522278,
0.68583482503... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Example: أمي - سأعود بالحال -
Example solution: Mommy will be right back.
Example explanation: This is a good example. The above sentence is correctly translated from Arabic to English.
Problem: يوريكا، شاهدها تمضي (يوريكا... | Solution: Eureka! | 5 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.20786403119564056,
0.4556128978729248,
-0.21397119760513306,
-0.5427180528640747,
-0.7383478283882141,
0.26343870162963867,
0.46274805068969727,
0.675001859664917,
0.32197460532188416,
-0.08383682370185852,
-0.42370468378067017,
0.6109845638275146,
-0.5703214406967163,
0.3388915956020355... |
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_contradicts_A'. If you cann... | B_entails_A | 0 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
-1.0538225173950195,
0.5557624101638794,
0.21631237864494324,
-0.2982144355773926,
0.10358695685863495,
-0.30590179562568665,
0.18250757455825806,
0.36362022161483765,
0.231072336435318,
0.1261037290096283,
-0.7717547416687012,
-0.029530378058552742,
0.32254576683044434,
-0.334649801254272... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Ex Input:
[-53, 2... | 129
| 1 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.3028188645839691,
0.30580079555511475,
0.146045982837677,
0.0038185990415513515,
-0.21351021528244019,
0.0012520457385107875,
0.21496903896331787,
0.26522916555404663,
0.4220910668373108,
-0.32013827562332153,
-0.5758268237113953,
-0.2852781414985657,
-0.6573065519332886,
-0.18186736106... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer ... | I needed to clear up some congestion . | 0 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.1460752636194229,
0.6874158978462219,
0.42861461639404297,
0.13304832577705383,
-0.07869792729616165,
-0.5169330835342407,
1.14747154712677,
0.935417652130127,
-0.23617622256278992,
0.2362101674079895,
-0.5643462538719177,
-0.06905628740787506,
-0.8496630191802979,
0.532429575920105,
0... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answ... | Tim feel(s) romance >Motivates> Tim is in love | 3 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.5837116241455078,
-0.1101178377866745,
0.18948329985141754,
0.09765050560235977,
-0.03247644007205963,
-1.1603306531906128,
0.2693539261817932,
0.7101309299468994,
-0.47964709997177124,
0.2630983889102936,
-0.7382800579071045,
-0.20877304673194885,
-0.07365810871124268,
-0.0484602972865... |
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)... | Así que les recomendaría a ustedes dos que partan a la ciudad cuando se cansen de Barton, sin decirle una palabra sobre ello a la señorita Dashwood. | 9 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.21138718724250793,
0.604661762714386,
-0.4339064359664917,
-0.3754339814186096,
0.128885418176651,
-1.4786794185638428,
0.8170262575149536,
-0.2582780718803406,
-0.1976354569196701,
-0.21960903704166412,
0.2216750830411911,
0.24810554087162018,
-1.3607956171035767,
-0.4403044879436493,
... |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger word... | Sentence 1: PersonX put a large amount of insulation in their attic but PersonY only put a thin layer of it. _ saved a huge amount on their power bill.
Sentence 2: PersonX put a large amount of insulation in their attic but PersonY only put a thin layer of it. _ saved a small amount on their power bill. | 8 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.346992552280426,
0.6456705331802368,
0.024927755817770958,
-0.36014318466186523,
0.23424328863620758,
-0.5249403119087219,
1.0525767803192139,
0.6569573879241943,
-0.052396759390830994,
-0.4523727595806122,
-0.41739511489868164,
-0.022488228976726532,
-0.6618247032165527,
0.2064207196235... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | customer: Atlanta, ATL is my origin airport.
****
| 4 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.21071189641952515,
0.3213029205799103,
-0.8193471431732178,
-0.4270023703575134,
0.43366920948028564,
-0.102272629737854,
0.4773947596549988,
0.15965627133846283,
-0.056865669786930084,
0.7179021835327148,
0.12088838219642639,
0.14169853925704956,
-0.20487934350967407,
0.0630557090044021... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Input: Consider Input: i z myślą o użytkownikach, w celu usprawnienia udzielania pomocy.
Output: É uma tecnologia apropriada para todos os utlizadores que foi usada para bem humanitário com grande efeito.
Input: Conside... | Output: Então, existem mais lugares.
| 2 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.4782673418521881,
0.6521098613739014,
-0.6048867702484131,
-0.08617588877677917,
-0.018849408254027367,
-0.7759245038032532,
0.1802207976579666,
0.13820049166679382,
0.892227828502655,
0.08517017215490341,
-0.4187646508216858,
1.145953893661499,
0.198512002825737,
-0.17240144312381744,
... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | Solution: finding | 5 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.086284339427948,
0.40489163994789124,
-0.3422156572341919,
0.104792021214962,
0.062442630529403687,
0.004251229576766491,
0.007188682444393635,
1.627584457397461,
0.2849487066268921,
0.5794287919998169,
-1.3914272785186768,
0.369639128446579,
-0.1317215859889984,
-0.04858152195811272,
... |
Instructions: Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B" relation.
Input: hit : hammer. dig : ?
Ou... | shovel | 3 | NIv2 | task1156_bard_analogical_reasoning_tools | zs_opt | [
0.25360995531082153,
0.6830205917358398,
-0.6396752595901489,
0.6797158718109131,
-0.11470097303390503,
-0.47633931040763855,
0.8555575609207153,
0.49922385811805725,
-0.011986590921878815,
-0.3332071304321289,
-0.35136115550994873,
0.24089935421943665,
-0.09775330126285553,
-0.21847441792... |
Q: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
খারাপ খাদ্য কি কখনো .... টাকা নষ্ট। আমি একটি দীর্ঘ খাদ্য বিষ ভুগছি খাই না দয়া করে
A: | negative | 7 | NIv2 | task1496_bengali_reviews_sentiment_classification | zs_opt | [
-0.9650841355323792,
0.028959788382053375,
0.5234056711196899,
-0.23594263195991516,
-0.05566107854247093,
-0.15553955733776093,
0.09940250217914581,
0.4105595350265503,
-0.23624393343925476,
-0.00577995041385293,
0.260778546333313,
-0.7460020184516907,
-0.17172527313232422,
-0.28856909275... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: And there's not much there.
Output: | E non hai moito máis alí. | 3 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.7291696667671204,
1.163910150527954,
0.008610940538346767,
-0.5546653270721436,
-0.14807668328285217,
-1.0929691791534424,
-1.042589783668518,
1.30392587184906,
-0.8122140765190125,
-0.2604833245277405,
-0.00048505328595638275,
-0.45266056060791016,
-0.06898243725299835,
-0.283360779285... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['8941', '4707', '6063', '5869', '9915', '745', '8313', '3193', 'Q', '9227', 'K',... | 13 | 0 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.43758726119995117,
0.45105284452438354,
-0.20770657062530518,
-0.5208194851875305,
-0.32158568501472473,
-0.07923691719770432,
0.4830908477306366,
-0.27240777015686035,
-0.6376560926437378,
0.25658294558525085,
-0.7364224791526794,
0.4534842371940613,
0.09328710287809372,
-0.07914721965... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN... | 0 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.3560296893119812,
0.7444790601730347,
-0.2940220534801483,
-0.06290075182914734,
0.20578864216804504,
-0.24462689459323883,
0.3597150444984436,
0.4824930429458618,
-0.18645593523979187,
-0.08768363296985626,
-0.8928512930870056,
-0.2495773732662201,
-0.6865143775939941,
-0.13526843488216... |
Instructions: 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
Input: Does little to elaborate the conceit of setting this blood-soaked tragedy of murderous ambition... | NEG | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.144646167755127,
-0.11146946996450424,
0.3613370656967163,
-0.15521860122680664,
0.185111865401268,
-0.4387773275375366,
1.0975905656814575,
0.5675755739212036,
0.6746113300323486,
0.5136398077011108,
-0.5805330872535706,
-1.0012818574905396,
-0.02905326336622238,
-0.09747539460659027,
... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Q: Esta foto é do ano pasado.
A: | התמונה הזו נלקחה לפני שנה. | 9 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.46539270877838135,
1.0603549480438232,
-0.44497981667518616,
-0.6655948758125305,
0.19977907836437225,
-0.729880690574646,
0.7105320692062378,
0.9836758375167847,
0.1694331020116806,
-0.3453904092311859,
-0.631864070892334,
-0.13130071759223938,
-0.8211245536804199,
0.9594734311103821,
... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | None
| 5 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.6033586859703064,
0.3319889307022095,
0.05869048088788986,
0.3197076916694641,
-0.28807684779167175,
-0.18561513721942902,
0.3646426200866699,
0.0976860374212265,
0.8151664733886719,
-0.328149676322937,
-0.6020132899284363,
0.10957492887973785,
0.5874875783920288,
0.1734817773103714,
... |
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