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 |
|---|---|---|---|---|---|---|
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.
Sentence: 'people on horses riding around the bush ntear a fores'. How many words end with the letter 'g' in the sentence. | 1 | 0 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.22199152410030365,
0.5460716485977173,
0.38862085342407227,
-1.3562211990356445,
-0.21599459648132324,
-0.8330177068710327,
0.5989248156547546,
0.11738719791173935,
-0.07414831966161728,
-0.993708610534668,
-0.7541327476501465,
-0.7152999639511108,
-0.1817242056131363,
0.001761046703904... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Na przedstawienie "" Sultan 's Elephant "", Royal de Luxe' a przybył do Londynu czym spowodowal zastoj, opowiadajac historie o olbrzymiej, małej dz... | Per "" The Sultan's Elephant "", Royal de Luxe è arrivata nel centro di Londra e l'ha bloccato completamente per raccontare la storia di una bambina gigante e del suo amico, un elefante che viaggia nel tempo. | 1 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.9662848711013794,
0.6130876541137695,
-0.36057817935943604,
-0.26329314708709717,
-0.5848506689071655,
0.2990506887435913,
-0.22618652880191803,
0.07322853803634644,
-0.28748807311058044,
-0.8617581129074097,
0.4632931351661682,
0.9447752237319946,
-1.0972356796264648,
0.278628319501876... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Două femei concurente își plimbă câinii într-un spectacol de câini.
| Two women contestants are walking their dogs in a dog show. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-1.428489327430725,
0.8001174926757812,
0.12715791165828705,
0.16087698936462402,
-0.3777901530265808,
0.852864146232605,
0.17026779055595398,
0.2837170362472534,
0.7212387323379517,
-0.5637016296386719,
-0.4997158348560333,
0.9018506407737732,
-0.5133514404296875,
0.32401925325393677,
0... |
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.
Ex Input:
['989', '9937', '7857']
Ex Output:
3
Ex Input:
['5981', '1469', 't',... | 6
| 1 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.2808670997619629,
0.3377723693847656,
-0.3272291421890259,
-0.5265840291976929,
0.000794429681263864,
0.1564151644706726,
0.1921478509902954,
0.058501701802015305,
-0.5714700222015381,
0.3439919948577881,
-0.7288138270378113,
0.5716097354888916,
0.1270066648721695,
-0.11745035648345947,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: Recommendati... | no | 1 | NIv2 | task273_europarl_classification | zs_opt | [
-0.41241249442100525,
0.482116162776947,
0.5634859204292297,
0.3652760684490204,
0.4615950882434845,
-0.30570361018180847,
0.985815167427063,
0.11383907496929169,
0.6097444295883179,
0.05375031381845474,
0.11811116337776184,
0.44637206196784973,
-0.2955129146575928,
0.23839282989501953,
... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Y... | Yes
| 8 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.630346417427063,
0.35607874393463135,
0.10419262945652008,
0.07871639728546143,
-0.4899832606315613,
-0.6900003552436829,
1.397766351699829,
0.548972487449646,
-0.45964983105659485,
-0.46184027194976807,
-0.5047820806503296,
-0.5547695159912109,
-0.6431173086166382,
0.021670401096343994,... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
If you're looking for a water softe... | Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.8104954957962036,
0.5545034408569336,
-0.3249989151954651,
0.13052400946617126,
0.1501695215702057,
-0.610071063041687,
0.37772059440612793,
0.8564755916595459,
0.036058053374290466,
0.4547727406024933,
-0.5143870115280151,
-0.28071174025535583,
-0.3023093044757843,
-0.6566666960716248,... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: मुझे सबसे बड़ी बात तो यह जान पड़ती है कि दोनों तरफ के ... | Government too stepped in to reap its share of this prosperity through the levy of an excess profits tax and higher income-tax rates .
| 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.13538722693920135,
0.1991889625787735,
0.11926458030939102,
0.04309281334280968,
0.07989221066236496,
-0.6846111416816711,
0.6673728823661804,
0.8681387901306152,
-0.36449769139289856,
-0.1416454017162323,
-0.7746009826660156,
0.18449899554252625,
-0.3385745584964752,
-0.1401734352111816... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Problem:Ya hemos visto anteriormente es cuando
Solution: | We've already seen that one of the best ways to get a high performance machine learning system, is if you take a low-bias learning algorithm, and train that on a lot of data. | 8 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.034306325018405914,
0.9426359534263611,
0.25717246532440186,
-0.6205164194107056,
-0.02294919453561306,
-0.10369231551885605,
0.835674524307251,
0.6985856294631958,
0.7005009055137634,
0.4353955388069153,
0.330722838640213,
-0.2830011546611786,
-0.4327186048030853,
0.33374205231666565,
... |
Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Input: Wallmart employees are cunts. Hate them all
Output: | not hate | 3 | NIv2 | task1604_ethos_text_classification | zs_opt | [
-0.5632561445236206,
1.2240614891052246,
0.10195326805114746,
0.6111686825752258,
-0.5515056252479553,
-0.5688505172729492,
-0.31999924778938293,
0.5596359968185425,
0.4784570038318634,
0.7091403007507324,
0.3386576175689697,
-0.3058839440345764,
-0.2541998028755188,
-0.7713789939880371,
... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse t... | Several people look over a railing at the busy area beneath them.
| 8 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.42328715324401855,
0.7212940454483032,
0.354425847530365,
-1.3692424297332764,
0.25053897500038147,
0.04222531244158745,
0.6818621158599854,
0.4251598119735718,
0.6363600492477417,
-0.494576096534729,
-0.687648594379425,
-0.7711809873580933,
-0.44310522079467773,
0.06740644574165344,
... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example input: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupo... | Yes | 3 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.9798021912574768,
0.8351671099662781,
0.4428744316101074,
0.006325559690594673,
-0.20883025228977203,
-1.2038928270339966,
1.1776643991470337,
0.9085206389427185,
-0.36342835426330566,
0.3947644829750061,
-0.6985495090484619,
0.19751019775867462,
-0.8784258365631104,
-0.0077730845659971... |
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: केन्द्रीय सड़क परिवहन और राजमार्ग, नौवहन, रसायन और उर्वरक राज्य मंत्री श्री मनसुख मंडाविया ने कहा कि नागरिकों के लाभ के लिए परिवहन ... | جاری سال کے دوران مالگزاری کے رجحانات ظاہر کرنے والا چارٹ درج ذیل ہے: | 8 | NIv2 | task1053_pib_translation_hindi_urdu | fs_opt | [
-0.6293544769287109,
0.48086410760879517,
0.22313782572746277,
-0.9147056341171265,
-0.017489485442638397,
-0.25188496708869934,
-0.30046242475509644,
0.3869839906692505,
-0.6238405108451843,
0.14237351715564728,
-0.6758379340171814,
-0.6757871508598328,
0.355461061000824,
-0.3033187985420... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: MEDIEVAL TIMES
Clue: By the 12th century, the Chinese had ... | compass | 9 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.488115131855011,
0.9893563389778137,
-0.8292256593704224,
-0.33862611651420593,
-0.10087358951568604,
0.06220775470137596,
0.3224758803844452,
0.31920701265335083,
0.43189185857772827,
0.0015424687881022692,
0.23822060227394104,
0.4029924273490906,
0.3417758643627167,
0.2490721940994262... |
Definition: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question c... | dad | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.08152974396944046,
0.21043536067008972,
-0.8976962566375732,
0.040432024747133255,
-0.15474505722522736,
0.5913881063461304,
1.3310861587524414,
0.960442304611206,
0.5183103680610657,
0.21984875202178955,
-0.6326659917831421,
-0.15971392393112183,
-0.45768052339553833,
-0.416320174932479... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a 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 subtrac... | 122 | 0 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.043731965124607086,
0.2859983444213867,
0.17632022500038147,
0.0661020502448082,
-0.06531587988138199,
-0.018055830150842667,
0.6680666208267212,
0.5580737590789795,
0.6210823059082031,
0.06056596711277962,
0.00612679123878479,
-0.4525969326496124,
-0.32478851079940796,
0.13772496581077... |
Given the task definition and input, reply with output. 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 ... | PersonX always had more motivation in life and achieving goals than PersonY, as _ was optimistic. | 5 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.31869909167289734,
0.5274243354797363,
0.22220322489738464,
0.06262633204460144,
-0.06802564859390259,
-0.15287508070468903,
0.45691049098968506,
0.4410705864429474,
0.004751562140882015,
-0.6067811250686646,
-0.6052042245864868,
-0.06330319494009018,
-0.30327108502388,
0.100611969828605... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Input: Comment: Leah:
Suck it up, buttercup.
And be court... | Sexual-explicit | 2 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.869655728340149,
0.46558940410614014,
0.46647632122039795,
0.2529204189777374,
-0.2972916066646576,
0.20856590569019318,
0.4525199234485626,
0.8056073188781738,
0.45912861824035645,
0.18581679463386536,
0.49825620651245117,
-0.05463824421167374,
-0.2394144982099533,
-0.7604295015335083,... |
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? ... | finding | 0 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.17334404587745667,
0.4687592387199402,
0.03799299895763397,
-0.15524102747440338,
-0.40492820739746094,
-0.0036232965067029,
0.6924586296081543,
0.21934717893600464,
0.20025619864463806,
-0.17782266438007355,
-0.970469057559967,
1.0261645317077637,
-0.15352819859981537,
-0.0118411285802... |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:Great filter system... I don't know it the pump is louder tha... | Good Review | 8 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7732536196708679,
0.21035993099212646,
-0.4223610758781433,
0.07845079898834229,
0.09015899151563644,
-1.622370719909668,
0.6197983622550964,
0.8298321962356567,
0.07817263901233673,
0.6879655122756958,
-0.11576605588197708,
0.42757683992385864,
-0.1597312092781067,
-0.15831302106380463... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: My nephew, Adam, turned 19 on Monday. He's a good kid ... | This passage is mainly about _ . | 0 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.3613767921924591,
0.39540183544158936,
-0.708987832069397,
-0.43781501054763794,
0.08493812382221222,
-0.3916237950325012,
-0.18898126482963562,
0.6196903586387634,
0.3790898025035858,
0.19383062422275543,
-0.5456068515777588,
0.5563839077949524,
-0.5514576435089111,
-0.31574878096580505... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Q: Beginning: Jane didn'... | 2 | 4 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.3839177191257477,
0.5940033793449402,
0.3349640965461731,
-0.0768175795674324,
-0.10222537815570831,
-0.08008495718240738,
0.3068282902240753,
0.5921400785446167,
-0.2849661111831665,
-0.1942080855369568,
-0.362465500831604,
-0.46548619866371155,
-0.49301135540008545,
-0.607454061508178... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
--------
Question: عزيز دردانه .
Answer: peat .
Question: محلي را انتخاب کردم که هرگز نرفته بودم .
Answer: i chose a place id never go to .
Question: به من 50 دلار قرض ميدي .
Answer: | let me borrow 50 bucks .
| 7 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.017271652817726135,
0.9808088541030884,
-0.5818769931793213,
-0.4567229449748993,
-0.9061729907989502,
-0.04613152891397476,
1.247973084449768,
-0.4642249047756195,
0.5148937702178955,
-0.5640379190444946,
0.015863273292779922,
0.527610182762146,
-0.37482690811157227,
0.278217077255249,
... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
[EX Q]: Topic: We should introduce compulsory voting<sep>Argument: Everyone sh... | True
| 6 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
-0.07588738948106766,
0.7586528658866882,
0.14162717759609222,
-0.12025219947099686,
-0.3580419421195984,
-0.18160904943943024,
0.47024422883987427,
0.5367357730865479,
0.27376604080200195,
-0.0695125013589859,
-0.1552375853061676,
0.17851203680038452,
-0.024971451610326767,
-0.19808131456... |
Part 1. Definition
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, with less than 15 words. New information can be introduced. ... | A man is playing guitar and singing. | 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
0.12574294209480286,
0.8201342225074768,
0.016387060284614563,
-0.2831183671951294,
0.302193820476532,
-0.2828074097633362,
0.1912657916545868,
0.2988886833190918,
0.27748870849609375,
-0.336203396320343,
-0.6179553270339966,
0.1050247848033905,
-0.531015157699585,
-0.30367082357406616,
... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Consider Input: Name Shakespeare play Ariel, Miranda and Prospero appear?
Output: ariel
Input: Consider Input: Which cyclist won the first medal for Team GB at the 2012 Olympic Games?
... | Output: gladiator
| 2 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
-0.3810011148452759,
0.36729851365089417,
-0.5855734944343567,
-0.2678515613079071,
-0.7244940996170044,
-0.3091236650943756,
0.2169274538755417,
0.4182983338832855,
0.5218250155448914,
-0.6763818264007568,
-0.11464066803455353,
0.9493744373321533,
-0.6548376083374023,
0.2193237990140915,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: آسٹریلیا میں 15 ویں بھارت آسٹریلیا مشترکہ وزارتی کمیشن کا انعقاد
A: | 15th India-Australia Joint Ministerial Commission held in Australia | 9 | NIv2 | task1058_pib_translation_urdu_english | zs_opt | [
0.9213208556175232,
-0.684607207775116,
-0.27373844385147095,
-0.3690337538719177,
-0.18112657964229584,
-0.8404079675674438,
0.4880327582359314,
-0.09888329356908798,
-0.20844995975494385,
-0.5108742713928223,
-0.041686415672302246,
0.4380183815956116,
-0.35192835330963135,
0.243201613426... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
[EX Q]: Context_1 : 100 Deeds for Eddie McDowd is an American television sitcom created by S... | Who produced the aircraft that Attack Squadron 134 flew?
| 6 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7709394097328186,
-0.44889169931411743,
-0.5054810047149658,
-0.2380642294883728,
0.6104693412780762,
0.7622489333152771,
0.9711287021636963,
0.5026851296424866,
-0.13940078020095825,
0.27517756819725037,
-0.03620641306042671,
0.6012465953826904,
-1.1230312585830688,
-0.08437631279230118... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
[Q]: Title: Car Accident. Sentence 1: The Smiths were stop... | After the first practice, Mindy began to wonder what she had done!
| 5 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.15706796944141388,
0.7697988152503967,
0.2896661162376404,
-0.5698779821395874,
-0.47457003593444824,
0.1104729175567627,
-0.0768093466758728,
1.053778052330017,
0.12093374133110046,
-0.48961398005485535,
-0.20787394046783447,
0.04963768273591995,
0.05085114389657974,
0.0185978338122367... |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) 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 FA... | Not similar
| 3 | NIv2 | task147_afs_argument_similarity_gay_marriage | fs_opt | [
-0.5424004793167114,
0.19655993580818176,
-0.280329167842865,
0.6238940954208374,
0.4489363729953766,
-0.6457509994506836,
0.44999122619628906,
0.733029305934906,
-0.07506703585386276,
-0.09349042922258377,
-0.9655617475509644,
0.8536697030067444,
-0.6403495073318481,
-0.4729098379611969,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Ex Input:
Person1: Are things still going badly with your housegu... | 1
| 1 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.32901179790496826,
0.08022978901863098,
-0.03999808058142662,
-0.1815454661846161,
0.30204764008522034,
-0.22860626876354218,
0.9318224191665649,
0.41076841950416565,
-0.4817446172237396,
0.09995178878307343,
-0.345389723777771,
-0.2587655484676361,
-0.526661217212677,
0.0006530835526064... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
[Q]: I made Nichelle feel disappointed.
[A]: female
[Q]: The situation makes my girlfriend feel scared.
[A]: female
[Q]: My husband found ... | male
| 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-1.199657678604126,
0.4425831139087677,
-0.27007564902305603,
-0.9097768068313599,
0.05670611560344696,
-0.5646557807922363,
1.1484018564224243,
0.4429980218410492,
0.9816510677337646,
0.36311548948287964,
-0.7602580785751343,
-0.4718320071697235,
-1.0150445699691772,
-0.24325090646743774,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
فهم فريق تدريس. ويطورون مدرسيهم باستمرار.
Output: | They're team teaching. They're constantly improving their teachers. | 1 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.5968846082687378,
0.0972161814570427,
0.1850622296333313,
-0.39631107449531555,
-0.2789202630519867,
0.33395421504974365,
0.5699102878570557,
-0.16096600890159607,
0.9380162358283997,
-0.27233320474624634,
-0.20910529792308807,
-0.5353132486343384,
-0.296061635017395,
0.1665937006473541... |
Instructions: 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-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a ste... | Unrelated | 3 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.22599011659622192,
0.13615328073501587,
-0.25814276933670044,
-0.04921555891633034,
-0.13413098454475403,
-0.03773932531476021,
1.0679571628570557,
0.6479237079620361,
-0.14799144864082336,
-0.35485953092575073,
-0.5074654221534729,
-0.13993936777114868,
-0.9069433212280273,
0.1560208499... |
Q: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[-67, 17, 37, 72]
A: | [84, 20, 35] | 7 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.9702914953231812,
0.6067128777503967,
-0.1715613305568695,
-0.5872613191604614,
-0.8015984296798706,
-0.7296062707901001,
0.7448132038116455,
0.2515393793582916,
0.9513111114501953,
-0.3764656186103821,
0.26140713691711426,
-0.13385149836540222,
-0.3208254873752594,
0.443379282951355,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
--------
Question: ['4981', 't', '5817', 'o', '1131', 'N', 'D', 'R', '6693', ... | 2
| 7 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.357662558555603,
0.3962600827217102,
-0.4323464632034302,
-0.18515853583812714,
0.1693667471408844,
-0.6452312469482422,
0.603264331817627,
0.5566180944442749,
-0.5082966685295105,
0.4936564862728119,
-0.77925044298172,
0.20720471441745758,
-0.25096485018730164,
0.3634672164916992,
-0.... |
Definition: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Input: Passage: Lucy Harmon, a nineteen-year-old American, is the dau... | Christopher. | 2 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.5262841582298279,
0.30105191469192505,
0.07268500328063965,
0.02184128202497959,
0.03534974530339241,
-0.32501882314682007,
0.5472575426101685,
0.7335352897644043,
0.07677306234836578,
-0.1230449378490448,
0.30955374240875244,
0.688739001750946,
-0.534614622592926,
0.45686209201812744,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: Consider Input: Przepychała się wraz z matką przez tłum, krzycząc: "" Ratuj moje dziecko! "", i przekazała go komuś w oknie.
Output: او به یاد می آورد که با مادرش ، در جلوی جمعیت تلاش می کرد جمعیتی که همه می گفتند کودک... | Output: من در سال ۲۰۰۳ آن جا بودم.
| 2 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.24580277502536774,
0.4684712290763855,
-0.6512771248817444,
0.08652891963720322,
-0.8709009289741516,
0.18535083532333374,
0.9334308505058289,
0.14542458951473236,
0.7803558111190796,
-0.002569204196333885,
-0.5775982141494751,
0.9928715229034424,
-0.5972487926483154,
0.4335465133190155... |
In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example: Le crépuscule du Dieu . Cet enregistrement des années 70 marque incontestablement ... | Solution: POS | 5 | NIv2 | task484_cls_french_music_classification | fs_opt | [
-0.032635994255542755,
-0.08785547316074371,
-0.7137922048568726,
0.6417187452316284,
0.48493385314941406,
-0.767323911190033,
1.140540361404419,
0.7765907049179077,
-0.5819226503372192,
0.8962975144386292,
-0.35571759939193726,
-0.13871753215789795,
0.4298974871635437,
-0.3871001899242401... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:The aid system must effectively be continued... | Stödsystemet bör finnas kvar efter år 2002. | 8 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.6656043529510498,
1.1535420417785645,
0.4289553761482239,
-0.7388246655464172,
-0.04415065050125122,
-0.40906018018722534,
1.1124508380889893,
1.0275875329971313,
0.17914023995399475,
0.4328773021697998,
-0.6085319519042969,
-0.002319213468581438,
-0.6151723265647888,
0.0452734008431434... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: Gdyby to był horror ludzie w kinie szeptaliby: "" Nie idź tam. Nie idź tam "". (Śmiech) Oczywiście w cieniu był krokodyl.
A: | اگر این فیلم سینمایی ترسناکی بود ، مردم به تماشاگران می گفتند "" به دیدن این فیلم نرو. به دیدن این فیلم نرو. "" (خنده تماشاگران) و البته تمساحی در سایه بود. | 4 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.43072259426116943,
1.0359764099121094,
-0.4967350661754608,
-0.36379408836364746,
-0.7604334950447083,
-0.5148093700408936,
0.7333556413650513,
0.1434011459350586,
0.17026099562644958,
0.0371776781976223,
-0.659798264503479,
0.434067964553833,
-0.9634202122688293,
0.18432074785232544,
... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: Dan Allen ผู้แทนของ DeLay บอกกับผู้สื่อข่าวว่า "ความเป็นผู้นำของสมาชิกวุฒิสภา DeLay ที่สร้างและเพิ่มความเข้มแข็งให้แก่เสียงส่วนใหญ่ของสภาเป็น... | そうしている間に、死亡または死亡したと思われる犠牲者は130人に達した。
| 6 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.3505655825138092,
-0.37531739473342896,
-0.5916351675987244,
-0.12633821368217468,
0.01193609181791544,
-1.2897297143936157,
0.5501660108566284,
0.6764877438545227,
0.1279153823852539,
0.36657074093818665,
-0.3386586308479309,
0.7782787680625916,
-0.39431846141815186,
0.7015143632888794... |
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Ex Input:
Never! . The last song in it was not... | NEG
| 1 | NIv2 | task477_cls_english_dvd_classification | fs_opt | [
0.34706777334213257,
0.3578788638114929,
-1.3008184432983398,
0.3046141266822815,
0.24222831428050995,
-0.1396140456199646,
1.5408353805541992,
0.7141402959823608,
-0.5464309453964233,
-0.06661932170391083,
0.1325155645608902,
-0.34192967414855957,
-0.6853994131088257,
-0.11279594898223877... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
The situation makes my son feel fearful.
fear
Torrance told us all about th... | fear
| 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.21225568652153015,
0.7031409740447998,
0.3594347834587097,
-0.6166951656341553,
-0.2364012897014618,
-0.025161346420645714,
0.9732489585876465,
0.5162954330444336,
0.18533271551132202,
-0.3703056573867798,
-0.4453414976596832,
-0.3940986394882202,
-0.6716570258140564,
-0.168191522359848... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid usi... | Three girls are eating watermelon while a woman is reading to them and a man is taking a picture of them. | 4 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.07878062129020691,
0.4191499948501587,
0.03469739481806755,
-0.7176066040992737,
0.032997045665979385,
-0.537087082862854,
0.012737568467855453,
0.8377525806427002,
0.08938685804605484,
-0.41223305463790894,
-0.5411041975021362,
-0.3465288579463959,
-1.0103340148925781,
-0.19058233499526... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Q: חלק מהנורמות שלי, יותר בוטות.
A: | برخی از معصیت های من شنیع ترند. | 4 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.5811547040939331,
0.42817479372024536,
0.36471521854400635,
-0.24033084511756897,
-1.0935583114624023,
-0.28076493740081787,
0.24192020297050476,
-0.3498883843421936,
0.677027702331543,
-0.26820170879364014,
-0.8065680861473083,
0.4445495903491974,
-1.2872999906539917,
-0.11183046549558... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | No | 0 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.123490333557129,
-0.27982962131500244,
0.6169493198394775,
0.45161503553390503,
0.03926955908536911,
-0.19901560246944427,
0.09880224615335464,
0.8258147835731506,
0.18741212785243988,
0.1975766271352768,
-0.03730201721191406,
-0.6397036910057068,
-0.5148223042488098,
-0.864181458950042... |
Detailed Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Onye na-Kraịst bụ ndị kasị ewu ewu ihe na-na ọha mmadụ na ụbọchị ndị a, ma ọ n'ezie bụ ihe kasị mkpa.
A: | Being a Christian is not the most popular thing to be in society these days, but it surely is the most vital. | 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
0.15313073992729187,
0.46616214513778687,
-0.2650498151779175,
-0.2347661256790161,
-0.2908598780632019,
-1.36539888381958,
0.32761579751968384,
0.7052168846130371,
-0.2288523018360138,
-0.32862988114356995,
-0.5497868061065674,
-0.4066425859928131,
0.0012217804323881865,
0.095192492008209... |
Teacher:Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Control (cho... | First Party Collection/Use | 6 | NIv2 | task682_online_privacy_policy_text_classification | zs_opt | [
-0.45715367794036865,
0.20065666735172272,
-0.7687833309173584,
0.12528403103351593,
-0.45330357551574707,
-0.618657648563385,
0.654655933380127,
0.629397988319397,
0.26371896266937256,
0.19188803434371948,
0.41402968764305115,
0.34268292784690857,
-0.39173227548599243,
-0.4210665225982666... |
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 Japanese. Your job is to translate the Japanese sentence into Polish.
全て肋骨の間から行うのです
Solution: Wszystko jest robione pomiędzy żebrami.
Why? The Japanese sentence is correc... | Zaczniemy od hipokampu, w kolorze żółtym, który jest organem pamięci. | 0 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.35396793484687805,
0.5733415484428406,
0.005575130693614483,
-0.2624029517173767,
-0.08278169482946396,
0.06094823032617569,
1.3136227130889893,
-0.13898363709449768,
-0.29040300846099854,
-0.6572287082672119,
0.03234238550066948,
0.5284934043884277,
-0.5141611099243164,
0.92518955469131... |
Q: This task is about translating a given Yoruba language sentence to English.
Ọdún yìí ló pé ọdún márùndínlọ́gbọ̀n (25) tí ìpẹ̀yàrun yẹn wáyé, ọpọ̀ èèyàn ló ń ronú jinlẹ̀ nípa ìpẹ̀yàrun tó ṣẹlẹ̀ náà, pàápàá jùlọ àwọn tó là á já.
A: | For many, especially survivors, the 25th anniversary of the genocide is a time of deep reflection. | 7 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.0086407121270895,
0.9110457301139832,
-0.2699893116950989,
0.14641091227531433,
-0.5299059152603149,
-1.1995176076889038,
-0.5189867615699768,
1.0299023389816284,
0.009609577246010303,
-0.353221595287323,
0.3585459291934967,
0.05172739550471306,
-0.8827090263366699,
-0.19456684589385986... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.2766413688659668,
0.37248778343200684,
0.44474148750305176,
0.18629339337348938,
-0.06759409606456757,
-0.7568299770355225,
0.9314101934432983,
0.6016288995742798,
-0.1722308248281479,
-0.46863168478012085,
-0.4408790171146393,
-0.24557165801525116,
-0.38771823048591614,
0.47782009840011... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Consider Input: Eses tipos de estrés teñen un efecto moi característico na fisioloxía do estrés.
Output: Questi tipi di stress hanno un particolare effetto sulla fisiologia dello stress.
Input: Consider Input: ... | Output: Vedere come, in appena due settimane, i vermi comuni siano invecchiati.
| 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.6462870836257935,
0.5516797304153442,
-0.36270731687545776,
-0.5286076068878174,
0.21900415420532227,
-0.6476274728775024,
0.3823104798793793,
1.0350079536437988,
0.1745431274175644,
-0.6083783507347107,
-0.7078514695167542,
0.6751092672348022,
-0.538896918296814,
0.01266042422503233,
... |
Detailed Instructions: In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passag... | el poema de Crabbe | 8 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
0.6012499332427979,
1.5862700939178467,
-0.12103664129972458,
-1.0415188074111938,
-0.11440964788198471,
-0.660224437713623,
1.3645962476730347,
-0.018441572785377502,
0.12592831254005432,
-0.5934550762176514,
-1.3472288846969604,
-0.29889851808547974,
-0.41871967911720276,
0.2271913290023... |
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 provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX treats PersonY... | Negative | 0 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.26370859146118164,
0.3051897883415222,
0.14013886451721191,
-0.2659880220890045,
0.058390889316797256,
-0.5695180892944336,
0.8720601797103882,
0.19459372758865356,
0.5924246311187744,
-0.05294465273618698,
0.14417749643325806,
0.07248251140117645,
-0.13906928896903992,
0.23249152302742... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: बैठ जाओ.
A: | - It was. Sit down. | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.12636272609233856,
0.5697660446166992,
-0.25241827964782715,
0.11094263195991516,
-0.22884860634803772,
-1.077021598815918,
0.9225871562957764,
-0.3911735415458679,
0.18838520348072052,
-0.08983850479125977,
0.10787961632013321,
0.46883755922317505,
-0.20958265662193298,
0.81636077165603... |
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 | [
0.14242874085903168,
0.009671376086771488,
-0.10295017063617706,
0.4145244061946869,
-0.2725987136363983,
-0.3072050213813782,
0.8036962747573853,
0.45797449350357056,
-0.3161207139492035,
0.0010039552580565214,
-0.6267423033714294,
0.3688168525695801,
-0.32792067527770996,
-0.134679913520... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Sometimes we create our own heartbreaks through expectations. When #love prevails, ... | Happy | 6 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.2689895629882812,
0.29526394605636597,
0.7522761225700378,
-0.25709831714630127,
0.0820324718952179,
-0.835159957408905,
0.19084350764751434,
0.6412481069564819,
0.23459258675575256,
0.25780239701271057,
-0.13550616800785065,
-0.4482763409614563,
-0.6517186760902405,
-0.4504601359367370... |
Teacher: 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'.
Teacher: Now, understand the problem... | Answer: 28 | 2 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.06374594569206238,
0.09441839158535004,
-0.655695915222168,
-0.3746906518936157,
0.5725635290145874,
-0.5469279885292053,
0.18232086300849915,
0.6032265424728394,
0.18288041651248932,
0.0743211954832077,
-0.29748934507369995,
0.03781379014253616,
-0.9264782667160034,
-0.3630160987377167... |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Example input: Sentence: The carpente... | Analyst | 3 | NIv2 | task342_winomt_classification_profession_pro | fs_opt | [
-1.4646053314208984,
0.867892324924469,
-0.2967762351036072,
-0.6006040573120117,
0.3782099485397339,
-0.36404573917388916,
0.23623929917812347,
0.9226790070533752,
0.467699259519577,
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-1.1135053634643555,
0.0910450667142868,
-0.5705742835998535,
-0.40576228499412537,
... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 2 | 0 | NIv2 | task1541_agnews_classification | zs_opt | [
-1.2461529970169067,
0.14905178546905518,
0.23185226321220398,
0.43365752696990967,
0.4780305027961731,
-0.35208195447921753,
-0.4566832184791565,
0.1855175644159317,
-0.15969231724739075,
-0.008172211237251759,
-0.30473533272743225,
0.3958507776260376,
-0.35983750224113464,
-0.38307556509... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Output: No
| 2 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.9630699753761292,
0.14876142144203186,
0.062181293964385986,
0.8025345802307129,
0.21082746982574463,
-0.9237966537475586,
0.114033542573452,
0.6508704423904419,
-0.06470136344432831,
0.2730554938316345,
-0.06425308436155319,
-0.26068544387817383,
-0.46506020426750183,
-0.89874207973480... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Teacher: Now, understand the problem? Solve this instance: כשההורים שלי קנו לאחותי ולי את הנינטנדו הראשון שלנו, איזושהי תכונה פנימית ממכרת שההנאה האלקטרונית האינטראקטיבית הראשונית הזו הכילה, השתלטה עלי במהרה.
Student: | When my parents bought my sister and I our first Nintendo, whatever inherent addictive quality this early interactive electronic entertainment possessed quickly took hold of me. | 6 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.48785582184791565,
0.11323736608028412,
-0.011037756688892841,
0.10359333455562592,
-0.2354617863893509,
-0.5491718053817749,
0.3149537444114685,
0.734623908996582,
0.7600803375244141,
-0.20214352011680603,
0.1585172414779663,
-0.5585551261901855,
-1.3898406028747559,
-0.611021399497985... |
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... | 1 | 6 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.19597773253917694,
0.406985342502594,
-0.6184825897216797,
-0.09060743451118469,
0.408034086227417,
-0.18874748051166534,
0.763269305229187,
1.2406127452850342,
0.20729970932006836,
0.2385081648826599,
-0.25410622358322144,
0.3372043967247009,
-0.42563921213150024,
-0.12732580304145813,
... |
The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Input: Consider Input: What was Tesla's reputation in popular culture?
Output: Quina ... | Output: Quin és el sobrenom del logotip de l’ABC des de la campanya del 2000?
| 2 | NIv2 | task1677_xquad-ca_translation | fs_opt | [
-0.4759049415588379,
0.9197450876235962,
0.2731984257698059,
-0.16014644503593445,
-0.04037921130657196,
-0.5366213917732239,
0.4518272876739502,
0.4979952871799469,
-0.12356226146221161,
0.3836950957775116,
-0.300309956073761,
0.3129173219203949,
0.08151353895664215,
-0.3628966808319092,
... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Example input: a georgian inscription around the drum attests his name.
Example output: there is a georgian inscription around the drum to confirm... | cameron 's wife nobile also acted in the film set , playing hattie durham. | 3 | NIv2 | task934_turk_simplification | fs_opt | [
0.0905371606349945,
0.33256515860557556,
-0.6030939817428589,
-0.8121669292449951,
0.2345120906829834,
-0.7573758959770203,
0.9280564188957214,
0.710229754447937,
0.16843053698539734,
-0.06083201617002487,
-0.4206380844116211,
-0.0040560392662882805,
-0.9778803586959839,
-0.366878658533096... |
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese 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... | Anh có thể mua tem ở bưu điện. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.20273330807685852,
0.4897316098213196,
-0.15007326006889343,
-0.04462620988488197,
-0.19285914301872253,
-0.2871320843696594,
0.6305152177810669,
1.469804286956787,
0.2948656678199768,
-0.19564197957515717,
-0.6252423524856567,
0.06002295762300491,
-0.2795906662940979,
0.2083576619625091... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Example input: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Examp... | Take a look at me. | 3 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.47139355540275574,
1.0782160758972168,
0.3970929980278015,
0.08720679581165314,
0.005633246153593063,
-1.770477056503296,
0.06318408995866776,
-0.163235604763031,
-0.43264156579971313,
-0.5341894626617432,
-0.6797882914543152,
-0.024474889039993286,
-0.6825443506240845,
-0.1257436573505... |
Detailed Instructions: 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... | jump around left twice and jump right thrice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
-0.04670407623052597,
0.9589091539382935,
-0.45874664187431335,
-0.2525072395801544,
0.01688345894217491,
0.4455038011074066,
0.18730732798576355,
0.803573727607727,
-0.4365929961204529,
-0.3375478684902191,
-0.9213799238204956,
-0.10648342967033386,
-0.8632082939147949,
0.0451169908046722... |
Definition: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Input: I have used chemical strategy as a good example of an area in which we need to do this.
Outp... | He usado el ejemplo de la estrategia sobre sustancias químicas, sector que es un buen modelo de aplicación. | 2 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
0.0199548602104187,
0.4819852113723755,
0.22119274735450745,
-1.0672833919525146,
-0.07500976324081421,
-0.7379550933837891,
0.6470853686332703,
0.7433624267578125,
-0.041144683957099915,
0.06146237254142761,
-0.39420199394226074,
0.16790291666984558,
-0.4794875681400299,
-0.22906555235385... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example Input: Ci sarà sempre qualcosa da vedere.
Example Output: これ以上ないくらい見るものがあります
Example Input: Infatti, anche ora, parlando con la gente dell'argomento di questo intervento, ho inventato una storia di copertura e ho... | ディランをテストするときにはプロジェクト・プラカシュで赤ちゃんや子供に与えるものと同じようなインプットを与えます
| 3 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.5869685411453247,
0.0741034597158432,
-0.19107304513454437,
0.5726656317710876,
-0.41827547550201416,
-0.00008390331640839577,
0.1716412603855133,
0.6496604681015015,
0.08795082569122314,
-0.0685213953256607,
-0.35886549949645996,
0.5277783274650574,
-0.41235601902008057,
0.855340838432... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Oh, neem me mee op vrije voeten. | 0 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.4037853479385376,
0.8341342210769653,
-0.1561739146709442,
-0.4439218044281006,
-0.5352226495742798,
-0.483401358127594,
0.07086582481861115,
0.4732753038406372,
0.5217958688735962,
-0.39218777418136597,
-1.0014528036117554,
0.73054039478302,
-0.6630554795265198,
0.3263053894042969,
-... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Problem:English sentence: The phone number to call for emergency medical help is 911.
Solution: | lambarka telefoonka ayaa kaalmo u wacan caafimaad oo degdeg ah waa 911. | 8 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.1606568694114685,
0.6781327128410339,
0.19817787408828735,
-1.5333822965621948,
0.2704128324985504,
-1.1682902574539185,
0.7198340892791748,
0.7863315343856812,
0.4651678800582886,
0.08493156731128693,
-0.3070467710494995,
1.072373867034912,
-1.0973262786865234,
-0.3766328990459442,
-0... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | 97.24
| 0 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.22495891153812408,
0.3903011679649353,
-0.15821042656898499,
0.3660021722316742,
-0.14952196180820465,
-0.751953661441803,
1.0684988498687744,
0.8348565697669983,
0.22183308005332947,
-0.14288230240345,
-0.4374849796295166,
-0.0021785516291856766,
-0.1825030893087387,
0.19312481582164764... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
question:
['j', '8025']
answer:
1
question:
['t', '4967', '190... | 14
| 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
-0.21259041130542755,
0.5806534290313721,
-0.2781691253185272,
0.11938710510730743,
0.36978742480278015,
-0.0260133296251297,
0.5673503875732422,
-0.19526001811027527,
-1.2902333736419678,
0.4842405617237091,
-0.6758360862731934,
0.18967334926128387,
0.030104411765933037,
-0.01895999349653... |
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", or "Entailment".
Premise: Baseball<br>Sammy wanted t... | Neutral | 0 | NIv2 | task1387_anli_r3_entailment | zs_opt | [
-0.39459148049354553,
0.18443477153778076,
0.18703250586986542,
0.39125949144363403,
0.08205265551805496,
-1.5524719953536987,
0.5052210092544556,
0.3740415871143341,
1.0496400594711304,
-0.2509349584579468,
-0.6859101057052612,
0.302970290184021,
0.009717113338410854,
-0.7759507298469543,... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Hari booked a hotel and a tour only to get mugged in Canada. | 4 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.6957971453666687,
0.2976149618625641,
-0.06840874254703522,
-0.44101256132125854,
-0.5389000773429871,
0.1180080994963646,
0.4149390459060669,
0.29173362255096436,
-0.21903449296951294,
-0.3958825469017029,
-0.7003451585769653,
0.43186289072036743,
-0.4551703631877899,
-0.026131030172109... |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.5398618578910828,
0.3698079586029053,
0.24971580505371094,
0.61320960521698,
-0.2026584893465042,
-1.1434293985366821,
0.6343333721160889,
1.2140679359436035,
0.46397024393081665,
0.30692219734191895,
-0.20480877161026,
0.03127603977918625,
-0.4673113524913788,
-0.5679620504379272,
0.... |
Detailed 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 an... | If the right image contains exactly one black barrel. | 8 | NIv2 | task184_break_generate_question | zs_opt | [
0.5035854578018188,
0.028490222990512848,
-0.7512481212615967,
0.4997181296348572,
0.125086709856987,
-0.35727760195732117,
0.9259846806526184,
0.6695663928985596,
-0.34618571400642395,
0.7107404470443726,
-0.5730260610580444,
0.40592965483665466,
0.011235509999096394,
0.021029874682426453... |
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ... | Arákùnrin Remy Pringle, tó jẹ́ ọ̀kan lára Ìgbìmọ̀ Ẹ̀ka lórílẹ̀-èdè Kẹ́ńyà ló mú Bíbélì yìí jáde lọ́jọ́ àkọ́kọ́ àpéjọ náà. | 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
-0.21855555474758148,
0.5496348738670349,
0.03070184588432312,
0.04137445613741875,
-0.15341848134994507,
-0.6192088723182678,
0.5706101059913635,
0.3428414463996887,
0.3940943777561188,
-0.23936769366264343,
-0.46384984254837036,
0.4879474341869354,
-1.192991852760315,
0.33233562111854553... |
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Problem:Verify if the sentiment of the following document towards the entity Ichiro Oz... | no | 8 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.23597127199172974,
-1.130542516708374,
-0.45791304111480713,
0.5873236656188965,
0.08999605476856232,
0.020798759534955025,
1.0794014930725098,
0.22027407586574554,
-0.2059440314769745,
-0.07642602920532227,
0.060361385345458984,
0.850511908531189,
-0.5269119739532471,
0.1045605465769767... |
Part 1. Definition
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") s... | [787, 601, 311, 239, 47, 241] | 7 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.28446298837661743,
0.1971983015537262,
-0.3913336396217346,
-0.46309906244277954,
0.15496456623077393,
-0.17423295974731445,
0.9364113807678223,
0.5843992233276367,
-0.06622004508972168,
0.10349205881357193,
-1.2658400535583496,
-0.609474778175354,
-0.4965224266052246,
-0.34061136841773... |
Teacher: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the r... | 524 | 2 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.19674451649188995,
-0.0029156506061553955,
-0.4149264395236969,
-0.5203320384025574,
0.1624872088432312,
-0.28571420907974243,
0.2466905266046524,
0.3784787654876709,
-0.6805461049079895,
-0.12919649481773376,
-1.0120997428894043,
-0.2024059146642685,
-0.0025535256136208773,
-0.59460949... |
Detailed Instructions: 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.
See one example below:
Problem: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস... | positive | 4 | NIv2 | task1496_bengali_reviews_sentiment_classification | fs_opt | [
-0.7868754267692566,
0.015948113054037094,
0.2912379205226898,
-0.21242478489875793,
-0.032048605382442474,
-0.34213316440582275,
1.0964363813400269,
0.4990304708480835,
0.23651687800884247,
-0.27936381101608276,
0.07628552615642548,
0.03144711256027222,
-0.3378538489341736,
0.060886122286... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Solution: I may ask Ali about French troop movements in the area . | 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.20226958394050598,
0.4797021746635437,
0.024601031094789505,
1.1396408081054688,
0.33335191011428833,
-0.42518484592437744,
0.6187455058097839,
0.618388295173645,
-0.23612108826637268,
-0.21579991281032562,
-0.5064653754234314,
-0.11698521673679352,
-0.4242049753665924,
-0.36441904306411... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Q: ['g', 't', '459', 'y', '455', '305']
A: | 0, 3, 4, 5, 9 | 4 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.6165319681167603,
-0.24387049674987793,
-0.5265840291976929,
-0.297939658164978,
0.5092037916183472,
-0.1407184898853302,
0.7589665651321411,
-0.22825707495212555,
-0.5735589861869812,
-0.08870168775320053,
-0.4750053584575653,
-0.34459415078163147,
-0.7581106424331665,
-0.0720741599798... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
"" Todos têm uma perspetiva válida. | לכל אחד בצוות יש נקודת מבט לגיטימית. | 0 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.09381015598773956,
0.3748205900192261,
0.07416540384292603,
-0.5197429656982422,
-0.42676764726638794,
-0.2676905393600464,
0.6184160709381104,
-0.3548133969306946,
1.3956515789031982,
-0.5230017900466919,
-0.5950701236724854,
-0.40256327390670776,
-0.36614593863487244,
0.11434810608625... |
You will be given a definition of a task first, then some input of the task.
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, ... | Location | 1 | NIv2 | task1289_trec_classification | zs_opt | [
0.03097885102033615,
0.17149239778518677,
0.07856936752796173,
0.06418737769126892,
-0.1634730100631714,
-0.4220291078090668,
0.3018476665019989,
0.2749158442020416,
0.2504340410232544,
-0.06001508980989456,
-0.6809949278831482,
-0.09288197755813599,
-0.4541006088256836,
-0.042593806982040... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: iv) ఆధునిక సాంకేతిక పరిజ్ఞానంతో విత్తన ఉత్పత్తిలో అనుభవాల మార్పిడి;
The answer to this example can be: iv) വിപുലമായ സാങ്ക... | പണം ലഭ്യമാക്കുന്നത് ഇന്ത്യന് വസ്ത്രനിര്മാണ വ്യവസായത്തെ പിന്തുണയ്ക്കല്, ഇളവുകളോടെയുള്ള സാമ്പത്തിക സഹായ പദ്ധതി(സി. എഫ്. | 8 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
-0.17826320230960846,
0.06676752120256424,
-0.062133632600307465,
0.5631712079048157,
-0.047098781913518906,
-1.0474469661712646,
-0.32554107904434204,
0.5677053928375244,
-0.13545025885105133,
-0.14920246601104736,
-0.220092311501503,
-0.25544261932373047,
-0.3381955027580261,
0.249132111... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | yes | 0 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.30490025877952576,
0.5982938408851624,
0.7052820920944214,
-0.13141167163848877,
0.3994457423686981,
-0.8020775318145752,
0.24052010476589203,
0.5904165506362915,
0.20945557951927185,
-0.3702384829521179,
-0.4574451744556427,
-0.021782897412776947,
-0.7972309589385986,
0.4873890876770019... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Ta siada przy Skype i ratuje sytuację.
היא עולה אליו בסקייפ, ומסדרת את הדברים.
Przynoszą nawet skarbowi państwa niewielki dochód.
הם עושים קצת כסף למשרד האוצר.
Ponieważ myślę, że potrzebujemy by Internet był tym czymś o czy... | כי אני סבור שאנו באמת צריכים שהאינטרנט יהיה הדבר שכולנו חלמנו שהוא יהיה.
| 0 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.9427580833435059,
1.1950563192367554,
-0.24479347467422485,
-0.5345564484596252,
-0.581768274307251,
0.6844916939735413,
1.4423574209213257,
0.004750022664666176,
1.1938916444778442,
0.04309385269880295,
-0.0034315234515815973,
0.4034789800643921,
-0.7545483708381653,
0.0370661169290542... |
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.
[EX Q]: 99 lakh are reproductive animals. He said that there is a huge possibility of increasing productivity of Indigenous breeds in the country throug... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਮੋਦੀ ਨੇ ਯਾਦ ਕੀਤਾ ਕਿ ਪਿਛਲੇ ਪੰਜ ਸਾਲਾਂ ਦੇ ਦੌਰਾਨ ਸ਼੍ਰੀਮਤੀ ਸੁਸ਼ਮਾ ਸਵਰਾਜ ਦੇ ਕਾਰਜਕਾਲ ਵਿੱਚ ਵੱਡੀ ਸੰਖਿਆ ਵਿੱਚ ਨਵੇਂ ਪਾਸਪੋਰਟ ਖੁਲ੍ਹੇ ।
| 6 | NIv2 | task1007_pib_translation_english_punjabi | fs_opt | [
-0.5694983005523682,
0.4163873791694641,
0.30987969040870667,
-0.15025444328784943,
-0.38142311573028564,
-0.07990560680627823,
0.2674700915813446,
0.5841455459594727,
-0.543738842010498,
0.10010387748479843,
-0.4445387125015259,
0.4236273169517517,
-0.4609683156013489,
0.2699969410896301,... |
Q: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Sentence1: Helen lived in the state of Washington. Sentence2: Helen want... | Yes | 7 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.2266911417245865,
0.17492705583572388,
0.46921825408935547,
-0.43899837136268616,
-0.2240631878376007,
-0.23983263969421387,
0.481316477060318,
0.7654616236686707,
0.135376438498497,
-0.15734881162643433,
-0.05915169045329094,
-0.16800376772880554,
0.08057112991809845,
0.175485953688621... |
Given the task definition and input, reply with output. 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), or... | None | 5 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.6524420380592346,
0.6024118661880493,
-0.05413272604346275,
-0.24054524302482605,
-0.6052460670471191,
-0.09629727154970169,
0.7862305045127869,
0.2287050485610962,
0.4341568052768707,
-0.24422207474708557,
-0.6205439567565918,
0.6643701791763306,
0.02556317299604416,
0.0444268137216568... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Talmudic | 9 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
1.000870704650879,
0.36419886350631714,
0.0014926443109288812,
0.18477191030979156,
0.028222011402249336,
-0.5501622557640076,
0.35850900411605835,
0.7180173993110657,
1.0377601385116577,
0.06613881886005402,
-0.06340741366147995,
0.11487153172492981,
-1.024231195449829,
-0.293454587459564... |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: WHERE IS IT?
Clue: The Eiffel Tower is one of the dramatic landma... | paris | 2 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.6732972264289856,
0.8275488615036011,
0.2991308867931366,
-0.17925822734832764,
0.23450559377670288,
0.367692232131958,
0.9209591150283813,
0.21946710348129272,
0.4443579912185669,
-0.1076771542429924,
-0.6588700413703918,
0.5350066423416138,
-1.0745141506195068,
0.32939305901527405,
... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.1084330081939697,
0.36922362446784973,
0.7085261940956116,
0.3621000647544861,
-0.7993533611297607,
-1.1269593238830566,
0.4182923436164856,
0.7086644768714905,
0.6239416599273682,
0.4292592406272888,
-0.29400119185447693,
-0.03779244050383568,
-1.0056108236312866,
-0.7120847105979919,
... |
instruction:
Given a text, write a compressed version of it in a single sentence.
question:
Beyond the Esplanade you enter the first section of the Royal Mile, a narrow, cobbled street called Castlehill. On your left you will find the Edinburgh Old Town Weaving Company, where you can follow the journey of wool from the... | There are trails to suit all ages and levels of fitness and experience, including a multi-day expeditions along the John Muir Trail.
| 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.05575060471892357,
0.3117169737815857,
-0.6191070079803467,
0.3185434937477112,
-0.0007435683510266244,
-0.6130931377410889,
0.2739602327346802,
0.5283935070037842,
-0.4011295437812805,
0.3245103359222412,
0.07494476437568665,
0.3062794506549835,
-0.8050535917282104,
0.01746459305286407... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Polish.
PROBLEM: And if not, can you make yourself smart again?
SOLUTION: Jeśli nie, to czy możesz odzyskać inteligencję?
PROBLEM: So the stuff that's in this picture that's white, that is the dark matter.
SOLUTI... | Jedna historia prowadzi do drugiej.
| 8 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.34771615266799927,
0.7237980365753174,
0.3991903066635132,
-0.5341802835464478,
-0.48972946405410767,
-0.40726014971733093,
1.0622062683105469,
-0.17721663415431976,
0.1913382112979889,
0.13554923236370087,
-0.20448392629623413,
0.7437846660614014,
-0.7840752601623535,
0.613048613071441... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: ['s', '8995', 'o', 'i', 'i', '7659... | 19, 8995, 15, 9, 9, 7659, 11, 9807, 18, 8103, 1141, 9329, 7725, 263, 9259, 2621 | 6 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.7231320142745972,
0.2010400891304016,
0.023709993809461594,
-0.4183075726032257,
-0.2888496518135071,
-0.8137248158454895,
-0.28323930501937866,
-0.0698990523815155,
-0.21657127141952515,
-0.27363863587379456,
-0.24091210961341858,
-0.5826900005340576,
0.07175414264202118,
-0.5647940635... |
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