inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: 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... | peerson | 9 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.4883221983909607,
0.4855918288230896,
0.04310566186904907,
0.31871920824050903,
0.816068172454834,
-1.1858559846878052,
1.1974554061889648,
-0.14051684737205505,
0.2368747889995575,
0.3952571749687195,
0.25383031368255615,
0.10239720344543457,
-0.6563650965690613,
-0.41502612829208374,
... |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Part 2. Example
Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we ha... | E naquele par, uma pessoa recebe uma mensagem que diz, "" Queres dar uma parte dos 10 dólares que ganhaste por estar aqui e enviá-lo a outra pessoa no laboratório? "" O truque é que não os consegues ver, não consegues falar com eles. | 7 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.21880191564559937,
0.43839871883392334,
0.11531879752874374,
-0.6866529583930969,
-0.1065274327993393,
-0.36066851019859314,
-0.3094487190246582,
0.5389705896377563,
0.25689154863357544,
-0.47067809104919434,
-0.3489519953727722,
0.44581660628318787,
-0.4694374203681946,
-0.396497547626... |
Q: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
I have been drinking Royal King 100% Natural Organic Green Tea (100 tea bags x 2g each) as my every day tea for several years now. I buy 12 bo... | True | 7 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
0.40261310338974,
-0.34706437587738037,
-0.13190141320228577,
-0.24507549405097961,
0.32061558961868286,
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0.15211978554725647,
0.12092147022485733,
-0.5047381520271301,
-0.6165682077407837,
-0.0758747905492782... |
TASK DEFINITION: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
PROBLEM: 5... | 4846
| 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.1019546166062355,
0.31505125761032104,
-0.5473535060882568,
-0.02505013346672058,
-0.5530127882957458,
0.40135452151298523,
0.8700383305549622,
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0.3018002510070801,
-0.41782647371292114,
-1.119508981704712,
-0.25913292169570923,
-0.5798836350440979,
0.7705634832382202,... |
Q: In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
So my ... | HYPOTHETICAL | 7 | NIv2 | task282_scruples_event_time | zs_opt | [
0.011653214693069458,
0.3745575249195099,
0.008432446047663689,
0.6220278739929199,
0.5216283798217773,
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-0.19500732421875,
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-0.5270308256149292,
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-0.3380447030067444,
0.8088572025299072,
-0.6672992706298828,
-0.343976229429245,
... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
[EX Q]: Context: Alex took Aubrey to the store for two hours so they c... | No
| 6 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.17247074842453003,
-0.3307480216026306,
0.1310644894838333,
0.13015241920948029,
0.4490339159965515,
-0.5741212368011475,
0.7305693030357361,
1.15065336227417,
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0.1433466672897339,
0.07674585282802582,
0.27206945419311523,
-0.48388493061065674,
-0.25065624713897705,... |
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.
One example: Question: When did the operation during which the 7... | 3 | 6 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.08470644801855087,
0.40035441517829895,
-0.5149150490760803,
0.12129201740026474,
0.6248292922973633,
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0.6754400730133057,
1.3239929676055908,
0.12254221737384796,
0.08003062009811401,
-0.1585277020931244,
0.23227202892303467,
-0.4496530294418335,
-0.1384134292602539... |
You will be given a definition of a task first, then some input of the task.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
As described, this is for beginner to mild intermediate. I started usi... | positive | 1 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.2627169191837311,
-0.11848758906126022,
-0.1192844957113266,
-0.5179929733276367,
0.2871905267238617,
0.25346916913986206,
1.1905474662780762,
0.4220656752586365,
0.2292858064174652,
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-0.228594109416008,
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... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
精密公衆衛生の適用で私が最も期待しているのは貧富で分けられた世界に橋を架けることです
A: | ומה שהכי מרגש אותי בגישה הממוקדת היא מקרבת בין שני העולמות האלה. | 7 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.04100646823644638,
0.2672230005264282,
-0.0694919005036354,
-0.3029066324234009,
-0.08522554486989975,
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-0.27114057540893555,
-0.27934175729751587,
0.2675513029098511,
-0.09281226992607117,
-0.11044982075691223,
0.744993269443512,
-0.40450096130371094,
0.28772479295... |
Given the task definition and input, reply with output. In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a group of zebra eating hay in an enclosure'. How many words contain the letter 'h' in the sentence.
| 1 | 5 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.5949841737747192,
0.8193273544311523,
0.3270898759365082,
-0.08525482565164566,
-0.7790058851242065,
0.16636236011981964,
0.06523607671260834,
-0.11623315513134003,
-0.034871019423007965,
-1.1960172653198242,
-0.8248683214187622,
-0.6374616622924805,
-0.018474623560905457,
-0.1053559407... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the se... | none | 1 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.18477779626846313,
0.16957426071166992,
-0.6004260778427124,
-0.20060592889785767,
-0.1014033630490303,
-0.5939435958862305,
0.21940939128398895,
1.1296238899230957,
-0.07822096347808838,
0.07716982066631317,
-0.05529496818780899,
-0.3061802387237549,
-0.5439291596412659,
0.154841929674... |
You will be given a definition of a task first, then some input of the task.
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 agree with each other. Generated sentences must be short, wi... | The cars are in a parking lot | 1 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.36674919724464417,
0.4906279444694519,
0.4794538617134094,
-0.01726130023598671,
0.10860231518745422,
-0.24823123216629028,
0.33691632747650146,
0.4977303743362427,
0.3984658122062683,
-0.258423775434494,
-0.9160017967224121,
-0.7247211933135986,
-0.03988195210695267,
-0.261195331811904... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
One example is below.
Q: Ulwakhiwo neempawu zentsinga zemifuno.
A: Construction and characteristics of vegetable fibre cordage.
Rationale: 'Ulwakhiwo nee... | Instrument by which sea depth is measured by increased water pressure compressing air in a small bore tube that is carried down by lead or sinker. | 9 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.3707055151462555,
0.5362493991851807,
0.17199811339378357,
-0.6306930184364319,
-0.5174762010574341,
-0.9132806658744812,
1.141106128692627,
0.23828497529029846,
-0.13143199682235718,
0.012878285720944405,
-0.11179075390100479,
-0.409687876701355,
-0.805755615234375,
0.402016282081604,
... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example input: For many Brazilians, Michel Temer's ascension to president was surprisin... | Yellow Duckmarine drivers in unfair dismissal claim | 3 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.9525083303451538,
0.694521427154541,
-0.17942175269126892,
-0.48467153310775757,
-0.42509663105010986,
0.011025378480553627,
-0.24012058973312378,
0.7277579307556152,
-0.07780557870864868,
0.6129112243652344,
-0.5068912506103516,
0.3467552959918976,
0.01464777160435915,
-0.1308419555425... |
Detailed Instructions: 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 re... | NnsSUxicmAqzfyabiijkmmoovxyzQQgbfEdCRo, ivdbYLWtqabiijkmmoovxyzBnFOwBxdRfWhr | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.4851478636264801,
0.5379847884178162,
-0.021241653710603714,
0.02621835097670555,
0.0556996613740921,
-0.11300891637802124,
0.6478811502456665,
-0.42461252212524414,
0.018799280747771263,
0.09402675181627274,
-0.5167509913444519,
-0.5743166208267212,
-0.05126429349184036,
0.1519337594509... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Lisa's feet sweat while in shoes >Causes/Enables> Lisa's feet stink | 0 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.13520552217960358,
1.1443164348602295,
0.11546733975410461,
0.3746788799762726,
0.008432107046246529,
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0.38168904185295105,
0.9650174379348755,
-0.36546385288238525,
0.06727205216884613,
-0.530885636806488,
0.6466712355613708,
-0.25321847200393677,
-0.189204916357994... |
Teacher:In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Teach... | Unidentifiable | 6 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-0.8976722955703735,
0.5343927145004272,
0.13435836136341095,
-0.2995370626449585,
0.14827357232570648,
-0.185536727309227,
-0.7790746092796326,
1.0255229473114014,
0.5988219976425171,
0.054610271006822586,
-0.5541555881500244,
-0.21336661279201508,
-0.07233819365501404,
-0.588570952415466... |
Q: 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.
హిందూ మహా సముద్రం మొదలుకొని పసిఫిక్ వరకు విస్తరించిన ప్రధానమైన సముద్ర మార్గాలతో బంధాన్ని కలిగివున్నటువంటి వ్యూహాత్మక ప్రాంతంలో. విస్తరించ... | India is located strategically along major sea-lanes from the Indian Ocean to the Pacific. | 7 | NIv2 | task1048_pib_translation_telugu_english | zs_opt | [
0.17926958203315735,
0.25499218702316284,
-0.001651447033509612,
0.07013431191444397,
-0.11078876256942749,
-1.1484320163726807,
-0.8686875700950623,
0.1251363456249237,
0.5425212383270264,
-0.4237418472766876,
0.29214078187942505,
-0.6792821288108826,
-0.5644334554672241,
-0.3053668737411... |
Definition: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Input: [که] پروردگارت تو را وانگذاشته، و دشمن نداشته است.
Output: | Your Lord has neither left you, nor despises you. | 2 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.6005075573921204,
0.973115086555481,
-0.2538643777370453,
-0.6226805448532104,
-0.5319268703460693,
-0.3063427805900574,
1.0224491357803345,
0.2867199182510376,
1.1279397010803223,
-0.1345866322517395,
-0.7246115803718567,
0.8638569116592407,
-0.538526177406311,
0.2066783607006073,
0.... |
Teacher: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Teacher: Now, understand the problem? If you are still confused, see the following example:
['238', 'h', '92', 'U', '2799']
Solution: 238, 92, 2799
Reason:... | 1173, 3473, 827, 1555, 7293, 4681 | 2 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.3997786045074463,
-0.09132920205593109,
-0.8175298571586609,
-0.7277356386184692,
0.2229156196117401,
-0.6827532052993774,
0.2838077247142792,
-0.16696670651435852,
-0.6345937848091125,
0.07538388669490814,
-0.27766865491867065,
-0.6916213035583496,
0.2954970598220825,
-0.33194994926452... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
--------
Question: Fact1: exercise increases a body 's strength, Fact2: Strength is increased by resistance activities., Question: which of the following are ... | D
| 7 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.5389024019241333,
0.338692307472229,
-1.03415048122406,
0.18339741230010986,
-0.4678597152233124,
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0.07676446437835693,
0.9845501184463501,
0.14769519865512848,
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-0.9900566339492798,
0.20347759127616882,
-1.0190668106079102,
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... |
Q: Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Cows are pregnant for ____ months.\Question: Choose the right answer from options given a) one b) nine c) zero d) two
A: | b | 7 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | zs_opt | [
-0.2829902172088623,
0.2042810618877411,
-0.41394439339637756,
-0.2665405869483948,
-0.7012666463851929,
-0.07643859088420868,
0.15145504474639893,
1.3720788955688477,
-0.5897079706192017,
0.3524073660373688,
-0.535107433795929,
-0.5226529240608215,
-0.6376683712005615,
0.05449815839529037... |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Q: we take everyone, sudanese nigger... | not religious hate | 4 | NIv2 | task1607_ethos_text_classification | zs_opt | [
-0.511092483997345,
-0.10565958172082901,
-0.11453694105148315,
0.013502972200512886,
-0.7767552733421326,
-0.7038853764533997,
0.21420423686504364,
0.1371360719203949,
0.3230404853820801,
0.2931808829307556,
0.2497071623802185,
0.22245362401008606,
-0.5155082941055298,
-0.629808247089386,... |
Detailed Instructions: In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
See one exam... | Cheque clearing | 4 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.11976930499076843,
0.3790041208267212,
-1.0594542026519775,
-0.1813357174396515,
-0.41553831100463867,
-0.581966757774353,
0.8282648324966431,
0.1433153748512268,
0.3293796181678772,
0.5451946258544922,
-0.33855533599853516,
-0.03701697662472725,
-0.14849765598773956,
0.0038396585732698... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
['238', 'h', '92', '... | Z, M, O, o, A, I, I, w, y, k, s, f, K, H, N, a | 2 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.23874610662460327,
0.40471553802490234,
-0.36741337180137634,
-0.7129931449890137,
-0.08069591969251633,
-0.8423237800598145,
0.38812655210494995,
0.21056422591209412,
0.11353541165590286,
0.2649541199207306,
-0.3978649377822876,
-0.36039459705352783,
0.38613444566726685,
-0.44045034050... |
Given the task definition and input, reply with output. In this task, you are given an article. Your task is to summarize the article in a sentence.
Russia annexed Crimea in March 2014, while the collection was on display at the Allard Pierson museum in Amsterdam.
Four museums in Crimea asked for the collection to be ... | An Amsterdam court has ruled that ancient treasures on loan to a Dutch museum should be handed to Ukraine and not the Crimea museums they came from. | 5 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.31568044424057007,
0.3973255455493927,
-0.7781949639320374,
0.2490006387233734,
0.682499885559082,
-0.21669958531856537,
-0.07359668612480164,
0.6307002305984497,
-0.05366481840610504,
0.537330150604248,
0.1174672320485115,
0.9579100012779236,
-0.21573428809642792,
0.3473944067955017,
... |
Q: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | a | 7 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
0.08866877108812332,
0.42037343978881836,
0.7065393328666687,
-0.5102051496505737,
0.05822553485631943,
0.1335451602935791,
0.17768320441246033,
0.8975248336791992,
0.2966080904006958,
0.6022685170173645,
-0.35047268867492676,
-0.25080642104148865,
-0.27606201171875,
-0.6117417812347412,
... |
Given the task definition and input, reply with output. In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wro... | yes | 5 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.9897366166114807,
0.18203073740005493,
-0.04886183887720108,
0.6619600653648376,
0.022921405732631683,
0.1566459834575653,
0.06541633605957031,
0.1848973035812378,
0.10435336828231812,
0.0777854174375534,
-0.6303220391273499,
0.12696662545204163,
0.08493480086326599,
-0.2559281587600708... |
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 will always have a va... | xp | 4 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.13653743267059326,
-0.04587032273411751,
-0.32538920640945435,
-0.43463972210884094,
-0.2458033263683319,
0.14363393187522888,
0.5389301180839539,
0.2748393416404724,
-0.518353283405304,
0.35178011655807495,
-1.1249582767486572,
-0.020091485232114792,
-0.059375934302806854,
-0.0938951373... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution: And it was primarily because Kiribati realized that this was in their own self-... | And — well, I'll leave you in suspense. | 2 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.3091501295566559,
0.09758505970239639,
0.13937464356422424,
-0.8557322025299072,
-0.04114414006471634,
-0.6456382274627686,
0.32125747203826904,
0.1900143325328827,
0.32050374150276184,
-0.04484565183520317,
-0.04262806102633476,
-0.02657947689294815,
-1.0161436796188354,
-0.124408811330... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:This has been possible because we have emphasized upon empowerment of the poor. Therefore, when a poor person gets a house... | ਇੰਨਾ ਹੀ ਨਹੀਂ, ਦੇਸ਼ ਭਰ ਦੇ ਹਰ ਲਾਭਾਰਥੀ ਨੂੰ ਠੀਕ ਤਰ੍ਹਾਂ ਇਸ ਦਾ ਲਾਭ ਪਹੁੰਚ ਸਕੇ, ਉਸ ਦਾ ਵੀ ਪ੍ਰਭਾਵੀ ਇੰਤਜਾਮ ਕੀਤਾ ਗਿਆ ਹੈ। ਤੁਹਾਨੂੰ ਇਲਾਜ ਲਈ ਭਟਕਣ ਨਾ ਪਵੇ, ਇਸ ਨੂੰ ਧਿਆਨ ਵਿੱਚ ਰੱਖਦਿਆਂ ਵਿਵਸਥਾਵਾਂ ਖੜ੍ਹੀਆਂ ਕੀਤੀਆਂ ਗਈਆਂ ਹਨ। ਸਭ ਕੁਝ technology ਰਾਹੀਂ ਸੁਨਿਸ਼ਚਿਤ ਕਰਨ ਦਾ ਯਤਨ ਕੀਤਾ ਜਾ ਰਿਹਾ ਹੈ। ਕੋਈ ਜ਼ਰੂਰਤਮੰਦ ਛੁੱਟ ਨਾ ਜਾਵੇ, ਇਸ ਦੀ ਸਮੀਖਿਆ ਨਿਰੰਤਰ ਚੱਲ ਰਹੀ ਹੈ। | 8 | NIv2 | task1007_pib_translation_english_punjabi | zs_opt | [
0.4420201778411865,
0.5174785852432251,
0.3512347638607025,
-0.6486110091209412,
-0.015620660036802292,
-1.3440577983856201,
1.0869505405426025,
0.6188504099845886,
0.0934191569685936,
0.45906728506088257,
-0.5426359176635742,
0.071576789021492,
-1.3525153398513794,
-0.165553480386734,
-... |
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). Perso... | No | 5 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
-0.31642770767211914,
0.14836418628692627,
0.6232003569602966,
-0.1503421664237976,
-0.2828236222267151,
-0.8278831243515015,
1.2212629318237305,
0.5603342056274414,
-0.338022381067276,
-0.47722309827804565,
-0.48058265447616577,
-0.03794614225625992,
-0.7993325591087341,
0.266732811927795... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return wolves
#2 return #1 that are interacting playfully
#3 return snow
#4 return #2 that are in #3
#5 return #4 that are different colored
#6 return images
#7 return number of #5 for each #6
#8 return #6 where #7 is equal to two
#9 return rear of #5
#10 return #9 that is toward the camera
#11 retur... | 7 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.8267741203308105,
-0.4972824454307556,
-1.0624938011169434,
0.7778136134147644,
0.1287316083908081,
-0.43716859817504883,
0.9738779067993164,
0.07503023743629456,
-0.34555327892303467,
0.3490583896636963,
-0.38296008110046387,
0.06830369681119919,
0.08121570944786072,
0.40710681676864624... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Output: Hoxe, en Suecia e outros países rico... | Primeiro haberá que demostrar realmente que é útil antes de ofrecerlle este tratamento para todo o mundo | 1 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.8064262866973877,
1.0864794254302979,
-0.3346242308616638,
-0.3549456298351288,
-0.11761489510536194,
-0.5157820582389832,
0.7155023217201233,
0.40141236782073975,
-0.0003495836863294244,
-0.023432279005646706,
-0.5028914213180542,
0.8610584735870361,
0.18596580624580383,
0.161855474114... |
Part 1. Definition
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid respons... | Yes. | 7 | NIv2 | task050_multirc_answerability | fs_opt | [
-1.0843826532363892,
0.10414038598537445,
0.5072853565216064,
0.5381378531455994,
-0.4360780417919159,
-1.2290642261505127,
0.44782721996307373,
0.45850300788879395,
0.06019425019621849,
-0.03970809653401375,
-0.41703715920448303,
-0.042085107415914536,
-0.24690106511116028,
0.088142976164... |
Definition: 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".
Input: Japanese: 彼のけがの程度は公表されていないが、容態は安定しているとされる。
Filipino: Sa aking palagay kailangan niy... | No | 2 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.6589546799659729,
-0.3671388030052185,
0.13839460909366608,
-0.2243851125240326,
0.08360350131988525,
-0.050803590565919876,
1.3199937343597412,
0.5792621970176697,
-0.241895854473114,
-0.38305509090423584,
-1.0099854469299316,
0.3428294062614441,
-0.6936686038970947,
0.3118311166763305... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many days did the Easter Rising last for? | 4 | NIv2 | task026_drop_question_generation | zs_opt | [
0.8136218190193176,
0.37835371494293213,
-0.33802804350852966,
0.3650099039077759,
0.13468711078166962,
-0.40719616413116455,
0.6311224102973938,
0.6680806875228882,
-0.17143285274505615,
0.10305297374725342,
-0.1595698595046997,
0.6961852312088013,
-0.6271203756332397,
0.16804444789886475... |
Definition: In this task, you need to count the number of words in a sentence that contain the given letter
Input: Sentence: 'the banana is on the desk beside the calculator'. How many words contain the letter 'o' in the sentence.
Output: | 2 | 2 | NIv2 | task161_count_words_containing_letter | zs_opt | [
0.13400253653526306,
1.0343540906906128,
-1.0498266220092773,
-0.3869042694568634,
-0.06532485783100128,
0.25412529706954956,
0.5039817094802856,
0.31119146943092346,
0.5810767412185669,
-0.40944746136665344,
-0.41207608580589294,
0.02399279549717903,
0.2129541039466858,
-0.000729522143956... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : The Dragunov sniper rifle (formal Russian: Снайперская Винтовка системы Драгунова образца 1963 года Snayperskaya Vintovka sistem'y Dragunova obraz'tsa 1963 goda (SVD-63), officially ``Sniper Rifle, System of Dragunov,... | 1963 | 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.441456139087677,
0.34051278233528137,
0.048807449638843536,
-0.6397539973258972,
0.2811969816684723,
0.3240862786769867,
0.7446363568305969,
1.2108478546142578,
0.6397958397865295,
-0.1433669626712799,
-0.06223536282777786,
0.49391812086105347,
-0.7213954925537109,
0.43247830867767334,
... |
Definition: This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Input: Le système social, créé pour combattre la ... | Система социального обеспечения, которая была создана для борьбы с нищетой, оказалась не такой эффективной в борьбе с «болезнями богатства», такими как болезни сердца и рак легких. | 2 | NIv2 | task1377_newscomm_translation | zs_opt | [
0.0010554089676588774,
0.02550538256764412,
0.19278588891029358,
-0.5399624109268188,
0.3401992917060852,
0.3933213949203491,
0.6545599699020386,
0.7950241565704346,
0.6959011554718018,
-0.15302875638008118,
-1.1913803815841675,
-0.1934078484773636,
-0.2679867744445801,
0.34135565161705017... |
Teacher:In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Teacher: Now, understand the problem? Solve this instance: یکی از ویژگیهای دورهی سوم شعر نیمایی، کدام است؟ <sep> (A) جدال بر سر که... | D | 6 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.42574477195739746,
0.31925055384635925,
0.3721616864204407,
-0.28384464979171753,
-0.8204927444458008,
-0.19304601848125458,
0.7981715202331543,
0.5298352241516113,
0.7017726302146912,
0.31637975573539734,
-0.5248236060142517,
0.17106881737709045,
-0.2754736542701721,
-0.207133859395980... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Example: PPdQTlHHTJEe, DydQTlHHVnmlLu
Output: dQTlHH
Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe... | YYDKEqo | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.04384289309382439,
1.071836233139038,
-0.44278863072395325,
-0.2449711561203003,
0.09112262725830078,
-0.5326270461082458,
0.24338848888874054,
-0.42139142751693726,
-0.02520136348903179,
-0.03819640725851059,
-0.6418706178665161,
-0.7206304669380188,
0.2328386753797531,
-0.217316448688... |
Instructions: 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.
Input: [68, 46, 13, -76, 54, 77, -7, 52]
Output: | [68, 46, 13, -76, 77, -7, 52] | 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.2560148537158966,
-0.21040888130664825,
-0.5419121980667114,
-0.5264624357223511,
0.42298802733421326,
0.580339789390564,
1.1523683071136475,
-0.11347934603691101,
-0.49021732807159424,
0.02230987139046192,
-0.7122581601142883,
0.19239024817943573,
-0.09123000502586365,
-0.70927405357360... |
Instructions: In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Input: "দ্য ক্যাডার" বইটা গিফট পেলাম, পড়েছি দারুন অনেক লেখা, আগে অনেক কিছুই যানা ছিলো না।
Output: | positive | 3 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-0.919891357421875,
-0.4218796491622925,
-0.2078721970319748,
-0.25730088353157043,
0.6916822195053101,
-0.5047355890274048,
0.48906874656677246,
-0.15128988027572632,
0.29765796661376953,
-0.14475440979003906,
-0.7487828731536865,
-0.9757068753242493,
-0.8690037727355957,
-0.0913058221340... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Ex Input:
في عالم بدائي و بسيط ، لا يوجد حقا سبب لنموذج. لأن الإحساس يقارب الحقيقة.
Ex Output:
Num mundo primitivo e simples, não existem motivos para [a existência] de um modelo. Porque o sentimento está próximo da reali... | "Será que o rio fervente existe?"
| 1 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.8080345392227173,
0.33486008644104004,
-0.02596171945333481,
-0.8425109386444092,
-0.8073351383209229,
-0.8676080703735352,
-0.008171116933226585,
0.397288978099823,
0.1065102368593216,
-0.4617280960083008,
-0.903709352016449,
0.16629432141780853,
-0.6131208539009094,
-0.037634342908859... |
You will be given a definition of a task first, then some input of the task.
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 upperc... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK | 1 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.3796752691268921,
0.6217880845069885,
-0.44061368703842163,
0.26409095525741577,
0.11284677684307098,
-0.00651018088683486,
0.21444028615951538,
0.21808256208896637,
-0.2086249589920044,
-0.2576972246170044,
-0.7003127336502075,
-0.5401875972747803,
-0.4084906578063965,
-0.18103450536727... |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Let me give you an example: ['8129', 'a', '4245', '2391', 'Y', '7569']
The answer to this example ca... | 15, 6529, 8, 6265, 8, 3, 4655, 9, 5, 19, 7, 5649, 6289, 1, 4915, 8835, 23, 5 | 8 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.0063047222793102264,
0.26904183626174927,
0.3889654278755188,
-0.5919594168663025,
0.26861077547073364,
-1.0625028610229492,
-0.0329006090760231,
0.16244325041770935,
-0.2534372806549072,
-0.19906583428382874,
-0.6211937665939331,
-0.3375798463821411,
0.20399266481399536,
-0.566646337509... |
Teacher: A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ఈ పోర్టల్ ను 2019-20 ఆర్థిక సంవత్సరానికి ఎన్జిఒ లు మ... | प्रधानमंत्री ने आगे कहा कि स्टार्ट अप की सफलता के लिये पर्याप्त पूंजी, साहस और लोगों से जुड़ना जरूरी है। | 2 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.2941528856754303,
0.17092353105545044,
0.40457603335380554,
-0.22030887007713318,
0.1134057566523552,
-0.8639088869094849,
0.1040760725736618,
0.7056381106376648,
-0.27545076608657837,
0.19729802012443542,
-0.04693186655640602,
-0.07368248701095581,
-0.6104819774627686,
-0.1568490862846... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Ex Input:
Funcionaba mejor. La base "" H "", mucho más práctica.
Ex Output:
Było lepsze w użytkowaniu. Podstawa "" H "" jest dużo bardziej praktyczna.
Ex Input:
¿Se imaginan si en cada Starbucks se consiguieran condones?... | To nie Wielki Brat będzie szpiegował nas, tylko my, jako Wielki Brat, będziemy śledzić polityków.
| 1 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7181980013847351,
0.15862345695495605,
-0.8735429048538208,
0.40286216139793396,
-0.07895146310329437,
-0.5122407674789429,
0.562580943107605,
0.21227668225765228,
0.6839309930801392,
-0.16108402609825134,
-1.1386409997940063,
0.4255373477935791,
0.5779005289077759,
-0.04279239475727081... |
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.
Q: Sentence 1: The main function of the... | entails | 4 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.3858121633529663,
0.6493370532989502,
-0.03831331059336662,
0.06270165741443634,
-0.08233550190925598,
-1.4382567405700684,
-0.5060651302337646,
0.2691892385482788,
-0.3923916518688202,
-0.025146320462226868,
-0.49501970410346985,
-0.7764502763748169,
-0.126316100358963,
-0.254399389028... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 8 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.4068699777126312,
-0.13672129809856415,
0.44942688941955566,
0.029085379093885422,
0.045172080397605896,
-1.082811951637268,
1.0982060432434082,
0.6710026264190674,
-1.1921772956848145,
-0.3396713137626648,
-0.27581262588500977,
-0.4509420692920685,
-0.5325074195861816,
0.236942842602729... |
Detailed Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: Japanese: 詳細は昨日UTC17時30... | Yes | 4 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.6621533632278442,
0.2918643355369568,
-0.09838633984327316,
0.1945521980524063,
-0.09421129524707794,
-0.2618308365345001,
0.2930254638195038,
-0.290241539478302,
-0.10536886006593704,
-0.21867267787456512,
0.035313721746206284,
0.8495213389396667,
-0.5909044742584229,
0.764543831348419... |
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
| 0 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.12949977815151215,
0.0980040580034256,
0.396375834941864,
-0.050531331449747086,
-0.30162543058395386,
-0.030416421592235565,
1.0823204517364502,
0.3219311237335205,
0.33826592564582825,
-0.348385214805603,
-0.8298331499099731,
0.007185883820056915,
0.2958492934703827,
-0.13485452532768... |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Part 2. Example
وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Answer: Penso che abbastanza presto vedrete pazienti curati con le cellule st... | Anziché usarlo per il computer, | 7 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.29125407338142395,
0.7062356472015381,
-0.43028730154037476,
-0.5579268932342529,
-0.48359301686286926,
-0.2524436116218567,
0.8540256023406982,
0.7926225066184998,
0.5026028752326965,
-0.17743617296218872,
-0.6392127871513367,
0.3870837986469269,
-0.5029089450836182,
0.2957494258880615... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガ... | យើងមិនអាចខិតខំដើម្បីរក្សាឲ្យវាត្រឡប់មកចាស់ដដែល គំនិតចាស់ដដែល និងសង្ឃឹមថាបានលទ្ធផលផ្សេងឡើយ លោក Newsom បាននិយាយនៅក្នុងវីដេអូឃោសនារបស់គាត់។ | 1 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.03525571525096893,
0.45537659525871277,
-0.5205926299095154,
0.412661075592041,
-0.14934085309505463,
0.012751336209475994,
0.26726973056793213,
0.6779874563217163,
-0.173478901386261,
-0.3061596751213074,
-1.003861904144287,
0.6987648606300354,
-0.27329137921333313,
0.45563969016075134... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to p... | Human papillomavirus vaccine is aimed at the cause of most cases of cervical cancer. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.005955853499472141,
0.7296951413154602,
-0.28376877307891846,
-0.09463576227426529,
-0.39260733127593994,
-0.2776506841182709,
0.050651274621486664,
0.551244854927063,
-0.02082887478172779,
-0.29753872752189636,
-1.210695743560791,
0.7590088844299316,
-0.4071306586265564,
0.277503013610... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Usted lamenta encontrar un paquete th en un sobre. | 8 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.235304594039917,
0.4621884226799011,
-0.5023285746574402,
0.3898434638977051,
-0.3955070674419403,
-1.075911045074463,
0.2435193955898285,
1.177353858947754,
0.12822020053863525,
-0.8504327535629272,
-0.37917202711105347,
0.38192999362945557,
-0.559556245803833,
0.083929643034935,
-0.... |
Detailed Instructions: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Q: This is my first SSD in a MBP, I have 2 MacBook Air with 64 GB SSD and 128 GB SSD. I changed the original disk with this item. Everything is so fast now, and with 250gb there is room for a lot of programs... | Positive Review | 9 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.4041576385498047,
-0.09726710617542267,
-0.6785663366317749,
-0.7776830196380615,
0.19163154065608978,
-0.6871678829193115,
-0.17721019685268402,
0.8626508712768555,
1.0699224472045898,
0.243610680103302,
0.49442458152770996,
-0.11474207043647766,
0.07639023661613464,
-0.2356970310211181... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Italian.
PROBLEM: I first came across this study when I was 29 and I was going through a really difficult breakup.
SOLUTION: La prima volta che venni a sapere di questo studio avevo 29 anni e stavo attraversando un... | "" Hey, aspetta un attimo.
| 8 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.2788200378417969,
0.5926895141601562,
-0.15566307306289673,
-0.7561085224151611,
-0.6057451367378235,
-0.0694035142660141,
0.10960295796394348,
0.7775639295578003,
0.5424466729164124,
-0.3039287030696869,
-0.3210937976837158,
0.4880490303039551,
-0.24170759320259094,
0.5370815992355347,
... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Es probable que encuentres una serpiente posiblemente en el suelo. | 9 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.33517447113990784,
0.4824366569519043,
-0.13789227604866028,
-0.07066581398248672,
-0.20825916528701782,
-1.1898918151855469,
-0.12785062193870544,
1.3548009395599365,
-0.15517699718475342,
-0.5024591088294983,
-0.42410171031951904,
0.3137190639972687,
-0.2954012453556061,
0.01051403768... |
Definition: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer... | PersonX and PersonY are really good friends, one day they sailed for hours in _ at the boat. | 2 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.8764848709106445,
0.35483646392822266,
-0.28462135791778564,
-0.031786393374204636,
0.04666717350482941,
-0.2271289825439453,
0.8523427248001099,
0.5062329769134521,
0.04538719356060028,
-0.5715285539627075,
0.013092431239783764,
-0.2939244508743286,
-0.08700442314147949,
0.3514454960823... |
Teacher:In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? Solv... | [36960, -224960, -1415904, -496] | 6 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.20576655864715576,
-0.11417622864246368,
-0.4180625081062317,
-0.39879465103149414,
0.06509673595428467,
0.095332071185112,
1.1390101909637451,
0.4109254479408264,
0.07298966497182846,
-0.20037859678268433,
-0.8547965288162231,
-0.25444284081459045,
-0.5253920555114746,
-0.3937703669071... |
Detailed Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Problem:claim: Music That Glorifies Crim... | support | 8 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.5051947832107544,
1.10795259475708,
-0.10263124108314514,
-0.18096503615379333,
-0.4148795008659363,
-0.20479054749011993,
0.5320359468460083,
0.925582766532898,
0.34172070026397705,
0.2942763864994049,
-0.511128306388855,
-0.41219788789749146,
-0.715813398361206,
0.0452176108956337,
... |
instruction:
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... | customer: Source: IAH.
| 9 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.04247981309890747,
-0.007562414277344942,
-0.41526922583580017,
-0.4677181541919708,
0.2804345488548279,
-0.5031272172927856,
0.8545413613319397,
0.41310936212539673,
-0.5750817060470581,
0.47611185908317566,
0.17517268657684326,
-0.15864761173725128,
-0.5364104509353638,
0.1089759543538... |
Instructions: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Input: Fact: An example of reproduction is laying eggs. Question: A way to reproduce is ... | plant dishes | 3 | NIv2 | task1400_obqa_incorrect_answer_generation | zs_opt | [
-0.2519727945327759,
0.9076902270317078,
-0.10349583625793457,
0.6034984588623047,
-0.8957599401473999,
0.010606983676552773,
0.3633444905281067,
1.1879931688308716,
-0.5566539764404297,
-0.23413631319999695,
-1.116461992263794,
0.2307184338569641,
-1.1734957695007324,
0.7558555603027344,
... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Q: [-61.905, -98.66, 90.472, 237.317, 5.243, 19... | 71.96
****
| 4 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.3872044086456299,
0.38506901264190674,
-0.9355548620223999,
-1.3587453365325928,
0.048128653317689896,
0.16307781636714935,
0.5487279891967773,
0.264263778924942,
-0.11818810552358627,
0.06479436159133911,
-1.066342830657959,
0.4704018235206604,
-0.7286760807037354,
0.2476012110710144,
... |
Definition: You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Input: System Reference: x is a restaurant near the river.
Origi... | 1 | 2 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.43456488847732544,
0.7773807048797607,
-0.8607116341590881,
-0.18671771883964539,
-0.8431677222251892,
-0.689696192741394,
1.0268757343292236,
0.48619815707206726,
0.39748522639274597,
-0.5918712615966797,
-0.33334454894065857,
-0.7025941014289856,
-0.3922788202762604,
0.077094562351703... |
Detailed Instructions: In this task, you are given a Kurdish sentence and the goal is to faithfully translate the Kurdish sentence into Turkish so that they both mean the same thing
Q: ‘’Makeqanûn dê bê guhertin’’
A: | Almanya’daki soykırım oylaması | 9 | NIv2 | task914_bianet_translation | zs_opt | [
0.12727467715740204,
1.3981612920761108,
0.21860526502132416,
-0.894768476486206,
-0.026729779317975044,
-0.36037760972976685,
0.5313123464584351,
-0.5332863330841064,
0.5793718099594116,
0.07025428116321564,
-0.36506885290145874,
0.17082570493221283,
-1.1223316192626953,
0.558454275131225... |
Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wron... | EVERYBODY | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.03725486993789673,
0.23771978914737701,
0.3502664566040039,
0.3363420367240906,
-0.24895702302455902,
-0.6469789743423462,
0.09571241587400436,
1.1268097162246704,
0.4100978672504425,
0.13864076137542725,
0.17559945583343506,
0.06312121450901031,
-0.9921202659606934,
-0.32249993085861206... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: والتين وكل شي يمكن ان تتكلم عنه
Student: | Há figos e tudo o mais para quem quiser comer. | 6 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
0.5798665285110474,
0.9043352603912354,
-0.06467413902282715,
-0.2936488091945648,
-0.48322027921676636,
-0.31923532485961914,
-0.27999645471572876,
0.8047542572021484,
0.463329553604126,
-0.6518747806549072,
-0.02757376804947853,
0.3353499174118042,
-0.7666846513748169,
0.0123117212206125... |
Teacher:In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Teacher: Now, understand the problem? Solve this instance: Background: Real-time reverse transcriptase quantitativ... | BMC Molecular Biology Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data | 6 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.048634983599185944,
0.2615429162979126,
-0.8664155006408691,
0.04952419176697731,
-0.10731583833694458,
-0.5597711205482483,
0.028513502329587936,
0.9520576000213623,
0.3035443425178528,
-0.11520450562238693,
-0.5376505851745605,
0.8638567924499512,
-0.10935078561306,
0.524397611618042,
... |
Definition: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Input: Context: "They real... | what will happen if "they" pull the thread? | 2 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.116891622543335,
0.5791937112808228,
-0.16227802634239197,
-0.07999013364315033,
-0.021533986553549767,
-0.9529010057449341,
0.5513147711753845,
0.7959901094436646,
0.54803466796875,
0.5270265936851501,
-0.3676241934299469,
-0.1530359983444214,
-0.2259719967842102,
0.39539793133735657,
... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
The girl ate rocks for lunch.
The girl ate a sandwi... | second
| 0 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.08622893691062927,
0.7863271236419678,
-0.33606356382369995,
-0.16152876615524292,
-0.5429074764251709,
-0.06928683072328568,
0.29162004590034485,
0.5813740491867065,
0.2563382089138031,
-0.23574727773666382,
0.021412886679172516,
-0.9309462904930115,
-0.9473766684532166,
-0.479060560464... |
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 ... | motorboike.
****
| 4 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.5562705397605896,
0.5822457075119019,
-0.10511443018913269,
0.5937815308570862,
0.1857704520225525,
-1.0518217086791992,
1.0177428722381592,
0.1572883576154709,
0.2822583317756653,
-0.21382266283035278,
0.12664365768432617,
0.3594787120819092,
-0.7298948764801025,
0.08803761005401611,
... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: john was thrice as old as tom 6 years ago . john will be 7 / 5 times as old as tom in 6 years . how old is tom today ?
Options: a ) 7 , b ) 9 , c ) 11 , d ) 13 , ... | b | 4 | NIv2 | task1420_mathqa_general | zs_opt | [
0.6436582207679749,
0.7578992247581482,
0.30709218978881836,
-0.7555071711540222,
0.09878622740507126,
-1.076509714126587,
-0.025875046849250793,
0.4315647482872009,
-0.11250583827495575,
0.3422626256942749,
-0.39242023229599,
0.6499903798103333,
-0.7731964588165283,
-0.698386549949646,
... |
Detailed Instructions: 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: NF - kappaB - like element 2 elevated promoter activity when combined with NF - kappaB - like element 1 , indicati... | NF - kappaB | 9 | NIv2 | task1480_gene_extraction_jnlpba_dataset | zs_opt | [
0.031248439103364944,
-0.2035132348537445,
-0.12719589471817017,
0.1638430655002594,
-0.41452932357788086,
-0.685478687286377,
1.0358359813690186,
0.7303900122642517,
-0.7241626977920532,
0.43854987621307373,
-0.8466806411743164,
-0.29531586170196533,
-1.1378262042999268,
0.583514928817749... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Q: 3190 aggiunta 3743 sott... | 30329
****
| 4 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.23843219876289368,
0.628057062625885,
-0.2516731321811676,
-0.209471195936203,
-0.7821751236915588,
-0.16861900687217712,
0.6656427383422852,
0.8168442845344543,
0.30836182832717896,
-0.3272130787372589,
-1.1310285329818726,
-0.3825951814651489,
-0.48513948917388916,
0.6325440406799316,... |
Given a sentence in the English language, translate it into the Nepali language.
Q: Text: Negative breeding science is the second part of the same plan
A: नकारात्मक सुजनन विज्ञान त्यहि योजनाको दोस्रो पक्ष हो ।
****
Q: Text: The tough keratinized scales provide body armour and some are fused to the skull.
A: केरा... | एक वैकल्पिक व्याख्या यो हो कि लगिरहेको हतियारहरूमा तीव्रता टर्की छ जसले शरीरलाई घुमाउन बटार्दै सेट गर्दछ।
****
| 4 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-1.196891188621521,
0.7050802111625671,
0.06766582280397415,
-0.6174674034118652,
0.10553064197301865,
-0.7882925868034363,
0.8521846532821655,
0.06825558841228485,
-0.42695438861846924,
0.4215947985649109,
-0.1014791950583458,
0.2820199131965637,
-1.1529924869537354,
0.7098778486251831,
... |
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 same FACET. A F... | Not similar | 0 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.35350966453552246,
0.5778001546859741,
0.3848532438278198,
0.2872140109539032,
0.12714643776416779,
-1.1163015365600586,
0.43581998348236084,
1.0346853733062744,
-0.03350697457790375,
0.6743791699409485,
-0.1413966715335846,
-0.12921658158302307,
-0.6917004585266113,
0.3296806216239929,... |
Instructions: In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are ba... | went | 3 | NIv2 | task388_torque_token_classification | zs_opt | [
0.6478866934776306,
0.3065851330757141,
-0.5713518857955933,
-0.09992332756519318,
-0.20077964663505554,
-0.08543424308300018,
0.08289936184883118,
0.5530802011489868,
-0.3121371567249298,
0.28997495770454407,
-0.7341345548629761,
0.6014229655265808,
-0.2640377879142761,
0.0647161006927490... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Plants in sunlight produce sugar. | 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.09524460136890411,
0.94037926197052,
-0.7148400545120239,
0.0722828283905983,
-0.7823581695556641,
-1.3609600067138672,
-0.4170166552066803,
1.5567550659179688,
-0.5318067073822021,
0.009801900014281273,
-1.2990697622299194,
0.546201229095459,
-0.05301082506775856,
-0.03971761465072632,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: I liked Shay and her independe... | 3 | 6 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.17707198858261108,
-0.37606745958328247,
0.26241618394851685,
-0.14859993755817413,
0.44999510049819946,
-0.48931220173835754,
0.8323415517807007,
0.4184983968734741,
-0.14398562908172607,
0.1780204027891159,
-0.31029757857322693,
-0.09196637570858002,
-1.234017252922058,
-0.38392210006... |
Definition: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choos... | Business | 2 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.567378044128418,
-0.04732336103916168,
-0.21741312742233276,
0.5776484608650208,
-0.019414711743593216,
0.3891541361808777,
-0.11258990317583084,
0.1802321970462799,
0.09921159595251083,
0.186599463224411,
-0.6269148588180542,
-0.016060039401054382,
-0.25957968831062317,
-0.135374575853... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Problem:['j', 'V', '2037', '453', 'l', 'q', 'u', 'k', '8403', '2501', 'b']
Solution: | 13394 | 8 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.309889018535614,
1.257981777191162,
-1.0746948719024658,
-0.9859848618507385,
-0.3002181649208069,
0.5525237321853638,
0.8150326013565063,
-0.5270522832870483,
-0.3620753288269043,
-0.13677266240119934,
-0.49093711376190186,
0.36677148938179016,
0.23266948759555817,
0.07387053966522217,... |
Q: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Robin ... | B | 7 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.2167343944311142,
1.0325405597686768,
0.39629191160202026,
-0.187890887260437,
0.15610773861408234,
-0.02822088450193405,
0.7648565173149109,
0.9810997247695923,
0.2808445394039154,
0.11147624254226685,
-0.31665822863578796,
0.041448891162872314,
0.16816367208957672,
-0.5458106994628906... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Let me give you an example: Then, the camel stops and the woman gets down from the camel.
The answer to this example can be: A woman rides a camel holding a rode with her right hand... | People comfort each other as the white ship glides away from the dock. | 8 | NIv2 | task455_swag_context_generation | fs_opt | [
0.25911277532577515,
0.9683825373649597,
-0.5247020721435547,
-0.1330520212650299,
-0.6095520257949829,
-0.28298622369766235,
0.05253373086452484,
1.092570185661316,
0.3456844985485077,
-0.0786852017045021,
-0.5443580150604248,
0.0022885152138769627,
-0.4623914361000061,
0.3215469121932983... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: today i fucked up by getting too high. i went with my boyfr... | TIFU by getting too high | 9 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.49336880445480347,
0.9020007848739624,
-0.5439038276672363,
0.05907125025987625,
0.1600363850593567,
-0.2937844693660736,
0.3519999384880066,
0.3852444291114807,
-0.17359277606010437,
-0.14920121431350708,
-0.36586976051330566,
0.33555668592453003,
-1.0648038387298584,
0.035100638866424... |
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 in doubt, please choose the closest match.
Example Input: It sparked a sermon... | Literature
| 3 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.8756911754608154,
0.490680456161499,
-0.3464871644973755,
-0.33908313512802124,
0.24219632148742676,
-0.4260239005088806,
0.46194565296173096,
0.9098477363586426,
0.08146350085735321,
-0.0277558621019125,
-0.5351951718330383,
0.6425768136978149,
-0.833868145942688,
-0.2031835913658142,
... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Let me give you an example: فتوسنتز فرایندی زیستشیمیایی است که در آن، انرژی نورا... | True | 8 | NIv2 | task396_persianqa_classification | fs_opt | [
0.634850800037384,
0.12681306898593903,
-0.9288021326065063,
0.5625120401382446,
-0.2167714685201645,
-0.4810992181301117,
0.9232738614082336,
0.8366671800613403,
-0.04524987190961838,
0.12307649850845337,
-0.4977951645851135,
0.5629421472549438,
-0.7040370106697083,
0.44309061765670776,
... |
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Example Input: «کشفالعجهب» اثر کیست؟
Example Output: literature
Example Input: حاصل عبارت ۴ + ۳ برابر است با ؟
Exam... | math_and_logic
| 3 | NIv2 | task474_parsinlu_mc_classification | fs_opt | [
-0.4923897087574005,
0.35386016964912415,
0.232675701379776,
0.17464816570281982,
-0.19422976672649384,
0.11653698980808258,
0.7102571725845337,
-0.6388039588928223,
0.5364596843719482,
-1.057677984237671,
-0.7059475183486938,
0.37404048442840576,
-0.527328610420227,
-0.2969026565551758,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentenc... | There are difficult obstacles to overcome when trying to get funding from alcohol study sections. | 1 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.1792179346084595,
0.7770357728004456,
0.27760645747184753,
-0.22157923877239227,
0.09513410925865173,
-0.09481600672006607,
-0.04617367684841156,
0.659179151058197,
0.4604312479496002,
-0.10608161985874176,
-0.021642101928591728,
-0.4750979542732239,
-0.6846048831939697,
0.4105112552642... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Ex Input:
அதோடு, அரசு பணியிலும், கல்வி நிறுவனங்களில் மாணவர் சேர்க்கையிலும் அரசு கொள்கையின் அடிப்படையில் இடஒதுக்கீட்டைப் பெற முடியும்.
Ex Output:
వీటి కి అదన... | ఈ గొప్ప వాక్యంపైన నేను కొంత వివరణ ను ఇవ్వదలుచుకున్నాను.
| 1 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
-0.3330979347229004,
0.013241078704595566,
0.27223968505859375,
-0.45176273584365845,
0.10117362439632416,
-1.2053245306015015,
-0.008704440668225288,
0.8911861181259155,
0.09805665910243988,
0.3455609679222107,
0.09989915788173676,
-0.2355969250202179,
-0.3473801612854004,
-0.205138266086... |
instruction:
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an... | How was " he " running ?
| 9 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.4461181163787842,
0.15706849098205566,
-0.22979560494422913,
0.7103112936019897,
0.2922261357307434,
-0.9898840188980103,
-0.47440260648727417,
0.46860426664352417,
-0.16027814149856567,
0.21041812002658844,
-0.40581023693084717,
-0.1372901201248169,
-0.4636477530002594,
0.33242928981781... |
TASK DEFINITION: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
PROBLEM: I don't have information regarding their trade partners. I can tell you that Argentina and Great Britain are p... | Yes, there are 4 main schools for higher education, University of Liechtenstein, Principality of Liechtenstein, Liechtenstein and International Academy of Philosophy.
| 8 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.12867268919944763,
0.40959370136260986,
-0.35826432704925537,
-1.0324864387512207,
-0.09014701098203659,
-0.010937198996543884,
0.9630014300346375,
0.6951566934585571,
-0.678936243057251,
0.06610670685768127,
-0.22256752848625183,
0.2542405128479004,
-0.49475008249282837,
0.2723433971405... |
Given the task definition and input, reply with output. In this task, you are to Translate German text to English
Angegossen oder eingegossen ist eine Stahlblech-Struktur.
| A sheet steel structure is cast on or cast in. | 5 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.06846189498901367,
0.6543429493904114,
0.3265024721622467,
-0.034751348197460175,
0.023797955363988876,
-0.5786330699920654,
0.30462583899497986,
0.5343338847160339,
-0.47617119550704956,
0.42483729124069214,
-0.21250171959400177,
-0.5394958853721619,
-0.3837277889251709,
0.540362834930... |
Definition: 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.
Input: Sentence: 'a close up of two knives stuck in a wooden surface'. How many words end with the letter 'a' in the sentence.
Output: | 2 | 2 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.05433978885412216,
0.6085509657859802,
-0.1768822968006134,
-0.9470196962356567,
-0.5492273569107056,
0.47403135895729065,
0.47209227085113525,
0.340656042098999,
0.7297405004501343,
-0.38840168714523315,
-0.5056514143943787,
0.3693971335887909,
-0.4059392213821411,
0.36592912673950195,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Esta misión es ir a dónde nadie ha ido antes de la Tierra.
משימתה היא ללכת היכן ששום אדם עוד לא הילך על כדור הארץ.
¿Cuál fue la noticia? La muerte de Anna Nicole Smith.
מה היה הסיקור? מותה של אנה ניקול סמית '.
Mi madre di... | אמא שלי תאמר שזו הייתה הרוח של סבתא שלי מהספר הכי ראשון שלי, מכיוון שנראה היה שידעתי דברים שלא הייתי אמורה לדעת.
| 0 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.4083447456359863,
0.11695532500743866,
0.1334221363067627,
-0.28545302152633667,
-0.2042681872844696,
0.2649066150188446,
0.8604969382286072,
-0.176848366856575,
0.12629710137844086,
0.23229210078716278,
-0.2131386697292328,
-0.1659461259841919,
-0.8619155287742615,
0.3786056637763977,
... |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
PROBLEM: تستطيع رؤية اماكنها
SOLUTION: どこが神経かわかります
PROBLEM: إذن كما ترون ، شجرة التفاح فارغة.
SOLUTION: ご覧のようにリンゴの木には実がついていません
PROBLEM: و استمر فى التمدد حوالى 300 مليون عام.
SOLUTION: | それから [30万年] ほどそのまま膨らみ続けました
| 8 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.12481749057769775,
-0.5232014656066895,
0.06737629324197769,
-0.7187497019767761,
-0.01875414326786995,
-0.4628758430480957,
1.231260061264038,
-0.12803907692432404,
-0.2919258773326874,
-0.5100755095481873,
-0.5306587219238281,
0.00824646931141615,
-1.072330117225647,
0.814037442207336... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Q: Been spoilt even got a Kylie lip kit 😆
A: | Happy | 9 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.3820245265960693,
0.9302951097488403,
0.4113638997077942,
-0.6271783709526062,
0.040609754621982574,
-0.5939750671386719,
-0.23343396186828613,
-0.16411998867988586,
-0.07202087342739105,
0.013749903067946434,
0.35023999214172363,
-0.1833133101463318,
-0.3875899612903595,
0.301488220691... |
In this task, you need to replace a letter in the sentence with another given letter.
Q: Sentence: 'a computer, keyboard, and mouse sitting on a desk'. Replace the letter 's' with 'c' in the sentence.
A: a computer, keyboard, and mouce citting on a deck
****
Q: Sentence: 'a living room with an orange couch and green ... | a pbtcher, catcher, batter and umpbre bn a baseball game
****
| 4 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.03134523332118988,
0.4177965521812439,
-1.3616430759429932,
-0.3930549621582031,
0.21648281812667847,
-0.4583975374698639,
-0.12793293595314026,
0.7203735113143921,
0.6897937059402466,
-0.31359660625457764,
0.30932581424713135,
0.11090895533561707,
0.3952329158782959,
-0.0651238039135932... |
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