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 |
|---|---|---|---|---|---|---|
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Part 2. Example
Sentence 1: Next to the MGM Grand you will f... | yes | 7 | NIv2 | task199_mnli_classification | fs_opt | [
-0.32970818877220154,
0.4959818422794342,
0.49946731328964233,
-0.2690052092075348,
0.3060612678527832,
-0.18078109622001648,
0.16358518600463867,
0.5002031922340393,
0.45713672041893005,
-0.29096609354019165,
-0.5573978424072266,
-0.8050180673599243,
-0.3816722631454468,
0.087462335824966... |
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 the subject of the... | Two human beings are alive. | 9 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.22940903902053833,
0.6483665108680725,
0.7317330837249756,
-0.7481053471565247,
0.1981562077999115,
-0.6151506304740906,
-0.2422776073217392,
0.5832455158233643,
0.4540148377418518,
-0.3903161287307739,
-0.9408938884735107,
-0.7220512628555298,
-0.7847408056259155,
-0.477636456489563,
... |
Definition: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Input: Question: Do several mechanical manipulations of the wal... | no | 2 | NIv2 | task846_pubmedqa_classification | zs_opt | [
0.08678721636533737,
-0.12056006491184235,
-0.026742208749055862,
0.5560765862464905,
0.1435258835554123,
0.19767269492149353,
0.6752892732620239,
0.2321852594614029,
0.6758414506912231,
-0.29052573442459106,
-0.5310784578323364,
-0.24947898089885712,
-0.21086351573467255,
0.07468386739492... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Q: System Reference: manna, is in the hayes valley or inset area and it is address is 845 irving street.
Original R... | 0
****
| 4 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.8831679821014404,
0.5760513544082642,
-0.011206584051251411,
0.35044851899147034,
-0.8791936635971069,
-0.47670042514801025,
0.9032697677612305,
0.9896667003631592,
-0.030434049665927887,
-0.21944910287857056,
-0.7574150562286377,
-0.204520121216774,
-0.4778411388397217,
-0.023743331432... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
E dinme conta de que o resto da manada estaba, de feito, coidando a este xoven elefante. | ועלה בדעתי ששאר העדר למעשה דאג לפילה הצעירה הזו. | 0 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.34909534454345703,
0.6708505749702454,
-0.27245965600013733,
-0.3902750611305237,
-0.7087033987045288,
-0.9180147051811218,
0.48116686940193176,
0.30319416522979736,
0.5430752038955688,
-0.3633585572242737,
-0.08969436585903168,
-0.13073718547821045,
-2.068258762359619,
0.68265008926391... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Problem:Comment: You and les get the message which by your own words con... | Insult | 8 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.9232691526412964,
0.9659258127212524,
1.0878520011901855,
-0.13790634274482727,
-0.08103816956281662,
-0.42105424404144287,
0.8883852958679199,
0.27902668714523315,
0.09991077333688736,
0.0004219195106998086,
-0.24066942930221558,
0.0963468924164772,
-0.41370999813079834,
-0.31282603740... |
You will be given a definition of a task first, then some input of the task.
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its ... | Neutral | 1 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
0.6513649225234985,
-0.09024040400981903,
-0.055081479251384735,
-0.05731184035539627,
0.4950334429740906,
-0.7548243403434753,
0.6425065398216248,
0.5116831064224243,
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0.5296117067337036,
0.06579159200191498,
0.7144639492034912,
-0.4336242973804474,
0.175260990858078,... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Example Input: 2, 2, ['K', 'l']
Exam... | c, Q
| 3 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.7963804006576538,
0.25718072056770325,
-0.5711381435394287,
-0.4421916604042053,
-0.2526003122329712,
-0.7492802143096924,
0.40544021129608154,
-0.7086048126220703,
-0.6027138233184814,
-0.03450243920087814,
-0.8000059127807617,
-0.23594263195991516,
0.08698861300945282,
0.0339361876249... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Let me give you an example: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
The answer to this example can be: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.
Here is why: The Engli... | متشکرم. (تشویق حاضرین) خودتان را در ۲۰ سال پیش تصور کنید. | 8 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.29567503929138184,
0.6974006295204163,
0.18116061389446259,
-0.04313585162162781,
0.0457337349653244,
-1.4440343379974365,
1.259887456893921,
0.0798293948173523,
0.23028573393821716,
0.475996732711792,
-1.1130908727645874,
0.38998499512672424,
-1.3352289199829102,
0.34002062678337097,
... |
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 dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of diction... | [{'first': -95, 'second': 13}, {'first': -34, 'second': -7}, {'first': -8, 'second': -47}, {'first': -8, 'second': -31}, {'first': 1, 'second': -56}, {'first': 80, 'second': 35}] | 0 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.2468564361333847,
-0.38994354009628296,
-0.5922060012817383,
0.4538576006889343,
0.733225405216217,
-0.31875449419021606,
0.5077924728393555,
1.1501948833465576,
-0.17978215217590332,
-0.311273455619812,
-0.44542157649993896,
-0.760657787322998,
-0.4763350486755371,
0.2604624629020691,
... |
In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Ex Input:
செல்வாக்காளர் மசோதாவிற்கு ஆதரவு தர மக்களவையை இணங்கச் செய்... | effect
| 1 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | fs_opt | [
-0.38636940717697144,
0.23251962661743164,
-0.04406844824552536,
-0.12154301255941391,
-0.11653023958206177,
-0.6591888070106506,
0.0713212639093399,
0.8871734142303467,
-0.2016136795282364,
0.4284822940826416,
-0.3195921778678894,
0.5446017980575562,
-0.7010394930839539,
-0.12669633328914... |
Part 1. Definition
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Part 2. Example
سم ، خوبي ، تو حالت خوبه .
Answer: sam . alright , youre alright .
Explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Part 3. Exercis... | mesa no tink so . | 7 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.33778777718544006,
0.9550728797912598,
-0.03969337046146393,
-0.8771446943283081,
-0.26981163024902344,
-0.7581075429916382,
0.8138071894645691,
0.3898006081581116,
0.4300525188446045,
-0.4315062165260315,
-0.8638465404510498,
1.0822887420654297,
-0.7781251668930054,
-0.15441560745239258... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. 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.
['3515', '3775', '5111'... | 3515, 3775, 5111, 7489, 1, 8979, 17, 15, 22, 1691, 889, 3191, 17, 8565, 15, 2649, 2, 4355, 1165, 5491, 7, 933, 4207, 18, 24, 7, 23, 1297 | 1 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.2405889481306076,
0.3400207757949829,
0.18063035607337952,
0.10399781912565231,
0.26571953296661377,
-0.3033140003681183,
-0.1261485069990158,
0.29182806611061096,
0.1235647201538086,
0.0665714293718338,
-0.11721016466617584,
-0.6837236285209656,
0.41261935234069824,
-0.7886741161346436... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Q: Sentence1: a ... | percents | 4 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.47526055574417114,
0.5754647254943848,
0.33922702074050903,
-0.5727506279945374,
-0.06577565521001816,
-0.7929861545562744,
0.9967571496963501,
0.4452657997608185,
0.08420801162719727,
-0.37490934133529663,
-0.7292032241821289,
-0.04004724696278572,
-0.5089867115020752,
0.49508160352706... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You sh... | What team came in second in the year that Zenit won their first Russian Premier League title? | 1 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.6278561949729919,
0.33637934923171997,
-0.945654034614563,
-0.1758287101984024,
0.13781164586544037,
-0.07094281166791916,
1.1319375038146973,
0.88319331407547,
0.10916659235954285,
0.22080370783805847,
-0.47077444195747375,
0.3879072368144989,
-0.6301721930503845,
-0.10048916190862656,
... |
You will be given a definition of a task first, then some input of the task.
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
I had a dream that my cat gave birth to 7 kittens, she gave birth on my bed and t... | Site which gives Details of all upcoming hollywood movies? | 1 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.4525109529495239,
1.2295284271240234,
-0.5977279543876648,
0.22932040691375732,
-0.43498659133911133,
0.05959772318601608,
0.13173875212669373,
0.5726863145828247,
-0.2415248602628708,
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-0.1474502980709076,
0.9180580973625183,
-1.063083529472351,
0.435497909784317,
... |
Detailed Instructions: In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Q: Question: Herbivores need to stock up on food before winter because? Answer: plants will perish.
A: | if an animal relies on plants for food then that animal must store enough food to last through the winter | 9 | NIv2 | task1401_obqa_sentence_generation | zs_opt | [
0.16678428649902344,
0.6369243860244751,
-0.49617689847946167,
0.19182172417640686,
-0.5263880491256714,
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0.2542223334312439,
0.42623889446258545,
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0.043507739901542664,
-0.7525915503501892,
-0.23621177673339844,
-1.2115648984909058,
0.46684995293617... |
Detailed Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Q: Context : Rocketship X-M tells the story of a Moon expedition that, through a series of unforeseen events, winds up tra... | Which place is Rocketship X-M in? | 9 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.5574033260345459,
0.552749752998352,
-0.8818191885948181,
-0.5164884328842163,
-0.34177660942077637,
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-0.17868177592754364,
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0.43630942702293396,
-0.3991680443286896,
-0.08572997152805328,
0.1228985637426376... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Q: چرا آمریکا وارد جنگ جهانی دوم شد؟ <sep> چرا امریکا وارد جنگ جهانی دوم شد؟
A: | paraphrase | 4 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.3333035707473755,
0.9406878352165222,
0.36196595430374146,
0.30713582038879395,
-0.8220263123512268,
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0.8965082168579102,
0.8764617443084717,
1.082306146621704,
-0.06064998358488083,
-0.36059489846229553,
-0.07163631916046143,
-0.4975374937057495,
-0.111191503703594... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a ... | B | 8 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.3828575015068054,
0.2792571783065796,
0.3592768907546997,
-0.4334016442298889,
0.048885002732276917,
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0.2990458309650421,
0.6793130040168762,
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-0.2651992440223694,
-0.27674224972724915,
-0.07354119420051575,
-0.1362994909286499... |
Q: 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... | high temperatures can cause air pollution. | 7 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.03647750988602638,
0.6804302334785461,
-0.5934906005859375,
-0.13861079514026642,
-0.5947394967079163,
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-0.20738831162452698,
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0.09135066717863083,
-0.9953231811523438,
0.521817147731781,
-0.4677942991256714,
0.3044016361236572,... |
Part 1. Definition
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Part 2. Example
A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the po... | Wolves killed 19 elk—17 of them calves—in one night in what Wyoming officials are calling a "sport killing," USA Today reports. "They went crazy and just took down each elk and moved on to the next," the game and fish department's John Lund says. Killing that many elk in one night is unusual for area wolves, who typica... | 7 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6392346024513245,
0.11020901799201965,
0.09322665631771088,
-0.031095195561647415,
1.0157651901245117,
-0.2299347221851349,
1.0883920192718506,
0.9584980010986328,
-0.45683252811431885,
0.7813372015953064,
0.06528200954198837,
0.27017742395401,
-0.10442877560853958,
0.6778194904327393,
... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: この治療でなんらかの効果が現れればと私たちは願っています
Output: | Esperamos obter sinais de melhoria a partir deste tratamento. | 3 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.08518269658088684,
0.4724949896335602,
-0.42131945490837097,
-0.4258832037448883,
-0.44367215037345886,
-0.9929627180099487,
-0.443604052066803,
0.7470614910125732,
0.4331361949443817,
0.10184650123119354,
-0.394070029258728,
0.4144015312194824,
0.24186395108699799,
-0.00105521385557949... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
PROBLEM: Por exemplo, peguei esta foto dun minarete na Suiza poucas semanas despois de que votaran a prohibición de minaretes no país.
SOLUTION: Por exemplo, colei uma foto de um minarete na Suíça pouc... | A crescente colónia de bactérias que aqui veem tem a largura de um cabelo humano.
| 8 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.08699255436658859,
0.788583517074585,
-0.38233909010887146,
-0.9121979475021362,
-0.1641121506690979,
-0.7599311470985413,
-0.33040499687194824,
1.0654454231262207,
-0.6876773834228516,
0.38144946098327637,
-0.4915418028831482,
0.4557236433029175,
-0.3932284414768219,
0.0188095159828662... |
Teacher: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Teacher: Now, understand the problem? If you are still confused, see the following example:... | nursery | 2 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.3994690775871277,
-0.25911352038383484,
-0.2421267181634903,
-0.17788165807724,
0.042918652296066284,
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0.8905704021453857,
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0.6044318675994873,
0.18088605999946594,
-0.2597365379333496,
-0.8061327934265137,
0.00861983560025692,... |
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.
Q: MOREL:
A: | MOREL: | 4 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.4452575743198395,
1.504512071609497,
0.9356942772865295,
0.26575005054473877,
0.5440938472747803,
-0.8365298509597778,
0.3119046688079834,
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0.11115644872188568,
0.6020357608795166,
-1.0275317430496216,
0.15124955773353577,
... |
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: ラインの切断で路線の流れが中断された。
Filipino: Ang pagputol ng mga linya pagkatapos humiwa... | Yes | 2 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.3795572817325592,
-0.3707694113254547,
0.3254375755786896,
-0.36197853088378906,
-0.0769132748246193,
0.2700747847557068,
0.8030195236206055,
0.7377322912216187,
-0.16278015077114105,
-0.16685031354427338,
-0.8454592227935791,
-0.3517182171344757,
-0.22671042382717133,
0.590790390968322... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: درباره این که فناوری چطور بنظر خواهد رسید و چه حسی خواهد داشت بیشتر بدانند ، و این که بیشتر از آنچه که فکرش را می کردیم به این پروژه علاقمندی نشان داده شد. بنابراین ، مثل یک دیوانه ، تصمیم به استعفاء از ... | そしてひとつ確実だったことは人々はこの日光を取り入れる技術がどのようなものか知り体感したいという強い興味を抱いていたということでした想像以上の関心が寄せられました | 3 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-1.0938670635223389,
0.4109172821044922,
-0.14462882280349731,
-0.029512256383895874,
-0.4494430422782898,
-0.2950330972671509,
0.34604722261428833,
0.38901033997535706,
0.6383277773857117,
-0.6493711471557617,
-0.24430954456329346,
0.1091981828212738,
-0.09063763916492462,
0.2233959436416... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example Input: Relationship: 'win', Argument/Subject 1: 'philly', Argument/Subject 2: 'world series'
Example Output: The Red Sox won their second World Series Title by sweeping... | Muhammad Ali was originally born as Cassius Clay in 1942 in Louisville Kentucky .
| 3 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.011834783479571342,
0.08374222368001938,
-0.6390799283981323,
0.29300516843795776,
-0.24258998036384583,
-0.22482281923294067,
0.3509449064731598,
0.05262685939669609,
0.02840079739689827,
-0.6079705953598022,
-0.583724856376648,
0.1542118787765503,
-0.30787351727485657,
-0.3521953523159... |
Given the task definition and input, reply with output. The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context cont... | No | 5 | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt | [
-0.30327466130256653,
0.9674829840660095,
-0.7471908926963806,
-0.1342409998178482,
-0.7402296662330627,
-0.24960128962993622,
0.39152103662490845,
0.7175527811050415,
-0.31588974595069885,
-0.007917756214737892,
-0.09262919425964355,
0.3930654525756836,
-1.1019692420959473,
0.054154787212... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
One example is below.
Q: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian, or British food? Sentence3: A... | Answer: (A) User | 9 | NIv2 | task638_multi_woz_classification | fs_opt | [
1.2202558517456055,
0.3180980384349823,
-0.39995115995407104,
-0.12178312987089157,
0.3971467912197113,
-0.9308838248252869,
0.6048537492752075,
1.0302845239639282,
-0.4146702289581299,
-0.3045920729637146,
-0.09144909679889679,
0.34744957089424133,
-0.8198927044868469,
0.1830495297908783,... |
Part 1. Definition
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your... | Sam feel(s) curious >Motivates> Sam asks his mother why Mrs June is so mean | 7 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.0914791077375412,
0.039489779621362686,
-0.31530988216400146,
0.053028564900159836,
-0.2532860040664673,
-0.8585138916969299,
0.19723549485206604,
0.5165146589279175,
-0.2915704846382141,
-0.16597402095794678,
-0.6606284976005554,
0.2555030584335327,
0.00853237695991993,
-0.3233486413955... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Q: An inviting white bench sits in the shade of this well-planned, forested garden.
A: | આ આમંત્રિત સફેદ બેન્ચ આ સુવ્યવસ્થિત, જંગલવાળા બગીચાના શેડમાં બેસે છે. | 4 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.21140378713607788,
0.7012741565704346,
-0.49776482582092285,
-1.121088981628418,
-0.16607803106307983,
-1.390304446220398,
0.23782286047935486,
-0.2421082854270935,
0.6614223718643188,
-0.13208141922950745,
-0.12638479471206665,
0.32151758670806885,
-1.065147042274475,
0.353640377521514... |
instruction:
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
question:
At each training step, we train the model with a batch of original examples along with adversarial examples with balanced labels. The ... | Zero Resource Toolkit (ZRTools) BIBREF7
| 9 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.6119837164878845,
0.6052291393280029,
-0.16985470056533813,
-0.1404913067817688,
-0.22432546317577362,
-0.4170360565185547,
0.711127519607544,
0.5143036246299744,
-0.03997119516134262,
0.2768125832080841,
-0.5038885474205017,
-0.27683186531066895,
-0.7516337633132935,
0.0731252655386924... |
Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If the label is 'cause', ... | Moj se pas linjao.
| 0 | NIv2 | task1626_copa_hr_question_answering | fs_opt | [
0.11609452962875366,
0.4737306535243988,
-0.5703972578048706,
-0.03502912446856499,
-0.9598386883735657,
-1.468461513519287,
-0.13282987475395203,
-0.19864144921302795,
-0.48643970489501953,
0.013458635658025742,
-0.20506900548934937,
0.7200219631195068,
-1.277677297592163,
0.0881842002272... |
Q: In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Question: Ron went to the gym and lifted weights as usual. If he stops... | Anaerobic exercises cause muscles to get bigger and stronger. | 7 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
0.4479954242706299,
0.8651615977287292,
-0.056967463344335556,
-0.8581699132919312,
0.005243683699518442,
-0.9756060242652893,
0.6151653528213501,
0.904415488243103,
0.5472478270530701,
-0.4185726046562195,
-0.7893079519271851,
0.3918154835700989,
-1.2594958543777466,
0.4931041896343231,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 3 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.6113678216934204,
0.33825188875198364,
0.0002145086182281375,
0.2277246117591858,
-0.4287993907928467,
-1.2417786121368408,
1.0738072395324707,
1.0071903467178345,
-0.45253288745880127,
-0.021587543189525604,
-1.0052158832550049,
-0.06629392504692078,
-0.6460088491439819,
-0.174017444252... |
Given the task definition and input, reply with output. You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Braceaba ciego contra el mar irritado,... | recuperar aliento y la seguridad del pie firme | 5 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
-0.17612913250923157,
1.0518786907196045,
-0.5122345685958862,
-0.775618314743042,
-0.5669652223587036,
0.1986297219991684,
0.11842340230941772,
0.8135395050048828,
0.12817029654979706,
-0.1045171320438385,
-0.7255663275718689,
-0.15450654923915863,
0.010701466351747513,
0.1640837192535400... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Pero la situación está cambiando y detectamos que hay nuevos actores principales que salen a escena.
A: | Mas o cenário está a mudar, e estamos a ver que há novos agentes-chave a surgirem. | 7 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.16941361129283905,
1.4133834838867188,
-0.4224995970726013,
-0.7921463251113892,
-0.37912657856941223,
-0.2767595648765564,
-0.28954362869262695,
1.2319728136062622,
1.086782455444336,
-0.4267091155052185,
0.15500453114509583,
-0.23120693862438202,
-0.6842970848083496,
0.1053441464900970... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
PROBLEM: O che Gertrude Stein è più computer di William Blake?
SOLUTION: 逆にスタインはコンピュータ的 ？
PROBLEM: Mi sono fatto la barba per la prima volta in 10 anni.
SOLUTION: 私は10年ぶりに自分で髭剃りもできました
PROBLEM: Nick – l... | ニックはここでも自動式のカメラを使ってヒヒの写真を何千枚も撮りました
| 8 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.21015435457229614,
-0.13847970962524414,
-0.38005688786506653,
0.08969201147556305,
0.6051719188690186,
-0.695116400718689,
0.8719842433929443,
0.12963709235191345,
0.6985538005828857,
0.40708810091018677,
-0.0026904128026217222,
-0.2228497862815857,
-0.39081650972366333,
0.4248216152191... |
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 right image
#2 return bottles in #1
#3 return number of #2
#4 return if #3 is at most three | 0 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.7922710180282593,
-0.2148972600698471,
-0.7387998104095459,
0.6767252087593079,
-0.028278876096010208,
-0.37927883863449097,
1.215014934539795,
0.08503308147192001,
-0.19467945396900177,
0.45228105783462524,
-0.613268256187439,
-0.06461693346500397,
0.04854508861899376,
0.455504596233367... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
כשתיארו אותן לראשונה חשבו שניתן לפרש אותן כמו חלומות.
Output: | عندما تم وصف تلك الحالات للمرة الأولى ، ظنوا أنه من الممكن تفسيرها و ترجمتها كالأحلام. | 1 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.860838770866394,
0.634299635887146,
0.15292637050151825,
-0.5998114347457886,
-0.40613698959350586,
1.1162707805633545,
1.0797953605651855,
-0.1039319783449173,
0.9346437454223633,
-0.3781770169734955,
-0.7898091673851013,
-0.32883214950561523,
-0.4017484784126282,
0.10429351031780243,
... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
One example: North Willingham is a village and civil parish in the West Lindsey district ... | Brando is widely known for his Academy Awardwinning performances as Terry Malloy in On the Waterfront 1954 and Vito Corleone in The Godfather 1972, as well as his performances in A Streetcar Named Desire 1951, Viva Zapata! | 6 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.32993319630622864,
0.1571357548236847,
0.383303701877594,
0.394008994102478,
0.5849236249923706,
0.01004400197416544,
-0.2143080234527588,
0.44114047288894653,
0.047630853950977325,
0.2187843918800354,
0.019227100536227226,
0.2400905191898346,
-0.4764629304409027,
-0.5719403624534607,
... |
Given the task definition, example input & output, solve the new input case.
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to.... | Wrong | 1 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.23817817866802216,
0.4621203541755676,
-0.17844566702842712,
0.4794353246688843,
0.5535311698913574,
-0.5404731035232544,
-0.16361446678638458,
0.4579622745513916,
0.17571406066417694,
-0.504709005355835,
-0.5110878944396973,
0.5355382561683655,
-0.616938054561615,
-0.4618586599826813,
... |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | trash | 4 | NIv2 | task1155_bard_analogical_reasoning_trash_or_treasure | zs_opt | [
0.04442905634641647,
0.9533879160881042,
0.027042873203754425,
0.24517905712127686,
-0.11797209084033966,
-0.33705198764801025,
0.501887857913971,
1.0040086507797241,
-0.0028872033581137657,
-0.33593592047691345,
0.14111462235450745,
0.421501487493515,
-0.372365802526474,
-0.10284784436225... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual... | Identity-attack | 8 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.3385331630706787,
0.41168197989463806,
0.6183637380599976,
0.3408721089363098,
-0.049496471881866455,
0.24511297047138214,
0.09468445181846619,
0.3633075952529907,
0.24061134457588196,
0.6666971445083618,
0.49679237604141235,
-0.30857324600219727,
-0.12601226568222046,
-0.89587861299514... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX makes ___ in PersonY's image. Intent: 1) to... | happy and loved
| 0 | NIv2 | task924_event2mind_word_generation | fs_opt | [
-0.00910203531384468,
0.07524996995925903,
0.20042625069618225,
-0.26687175035476685,
-0.31032267212867737,
-0.7428562641143799,
0.9875903129577637,
0.8381884694099426,
0.22343897819519043,
-0.15567553043365479,
0.6720004081726074,
-0.1957262009382248,
-0.5662529468536377,
0.20822551846504... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid... | A man is playing the bass and singing. | 3 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
0.23688188195228577,
0.9191491603851318,
-0.20892663300037384,
0.11467315256595612,
0.055566929280757904,
-0.9140706062316895,
-0.03629090264439583,
0.1949722021818161,
-0.3671138882637024,
0.4560433328151703,
-1.0848652124404907,
-0.5439445972442627,
-0.2965768277645111,
-0.53116160631179... |
Instructions: In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Input: મોટરસાયકલો પરના લોકોની વિન્ટેજ, રંગીન રેખાંકન ગેસ સ્ટેશનમાં ખેંચાય છે.
Output: | A vintage, colored drawing of people on motorcycles pulled into a gas station. | 3 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | zs_opt | [
-0.15092617273330688,
0.19234804809093475,
-0.022995982319116592,
-0.5952945947647095,
0.20604076981544495,
-0.9406344890594482,
0.12060082703828812,
-0.02391008287668228,
0.42554789781570435,
0.0002705648075789213,
-0.6697474718093872,
-0.4117638170719147,
0.35781800746917725,
-0.19855913... |
Detailed Instructions: 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... | No | 9 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.16566555202007294,
0.43958351016044617,
0.5906428098678589,
-0.5343899726867676,
-0.5166124105453491,
-1.0119445323944092,
0.9529703855514526,
0.3154507577419281,
-0.3586164116859436,
-0.5478782653808594,
0.057574767619371414,
-0.2613833546638489,
-0.7489717602729797,
0.09016221761703491... |
TASK DEFINITION: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expe... | Text two
| 8 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.4949677586555481,
0.2532139718532562,
0.19196656346321106,
-0.21015441417694092,
0.38560712337493896,
-0.3454572856426239,
1.119428277015686,
0.8583378791809082,
0.3114670515060425,
0.276823490858078,
-0.11356478929519653,
0.2733759880065918,
-0.6901090145111084,
-0.08046694099903107,
... |
In this task, you are to Translate German text to English
Let me give you an example: Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
The answer to this example can be: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Here is why: The... | The inventive means enable brilliant colourings, especially in the orange range, that are characterised by excellent light-fastness and shampooing fastness. | 8 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.44540590047836304,
1.0241745710372925,
-0.6888248920440674,
0.3978545665740967,
-0.19538161158561707,
-0.977104902267456,
0.3929610252380371,
0.44842207431793213,
-0.20706313848495483,
0.4844314455986023,
-0.5054491758346558,
-0.036644238978624344,
-0.6410920023918152,
-0.01653342694044... |
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 English, and your task is to translate it into Persian.
Get the filing done as fast as possible, and come by the passage between two and three.
Output: | کار سوهان کشی را هرچه زودتر به انجام برسان، و ساعت دو یا سه از طریق راهرو زیرزمینی بیا؛ | 1 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.5964350700378418,
0.798305869102478,
-0.0898776650428772,
0.025607945397496223,
-0.23802247643470764,
0.5904884338378906,
0.6242444515228271,
0.6477210521697998,
0.5171689391136169,
0.41299325227737427,
-0.6365699768066406,
0.021088553592562675,
0.446513295173645,
0.06221313402056694,
... |
Generate a correct and concise answer for the question based on the words in the context.
Context : My Poor Beloved Mother (Spanish:Pobre mi madre querida) is a 1948 Argentine drama film directed by Homero Manzi and Ralph Pappier and starring Hugo del Carril, Emma Gramatica and Aída Luz.
Question : What is the name o... | Kanal 2
| 0 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
-0.38095954060554504,
0.09985123574733734,
-0.08970224857330322,
0.0730295330286026,
-0.5540220141410828,
1.0968055725097656,
0.9238541722297668,
0.899972140789032,
-0.40722423791885376,
-0.22460919618606567,
-0.28155267238616943,
0.36251822113990784,
-0.46461009979248047,
0.33540463447570... |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expr... | Neutral | 4 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-1.1247466802597046,
0.1412757784128189,
0.35702016949653625,
0.39104166626930237,
0.06929615139961243,
-1.3504600524902344,
0.9857956171035767,
0.35519909858703613,
0.35289666056632996,
0.3100038170814514,
-0.16538497805595398,
0.39740297198295593,
-0.3661935031414032,
-0.3269670307636261... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
One example is below.
Q: Who were the builders of the mosque in Herat with fire temples ?
A: Ghurids
Rationale: This is a good example. Ghurids were the builders ... | Gulf of Finland | 9 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.4402485489845276,
0.8404793739318848,
0.03797488659620285,
-0.6305299997329712,
-0.7104672193527222,
-1.0765326023101807,
1.1369240283966064,
-0.23206105828285217,
-0.36837679147720337,
-0.45289185643196106,
-0.3341485559940338,
0.28909021615982056,
-1.0445057153701782,
0.42378020286560... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Q: I zapytałem studentów w Kuwejcie, gdzie sądzili, że te wydarzenia miały miejsce.
A: Le pregunté a los estudiantes de Kuwait dónde pensaban que habían ocurrido estos incidentes.
****
Q: Po drugie, jeśli chce się przewidzi... | La pregunta que teníamos era, ¿cómo pueden las bacterias, estos organismos primitivos, diferenciar entre el momento en el que estaban solas, y el momento en el que estaban en una comunidad, y luego hacer algo todas juntas?
****
| 4 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.6391341090202332,
0.7581424713134766,
-0.4486030042171478,
-0.3341689109802246,
-0.3273143768310547,
-0.5622299313545227,
0.384645938873291,
0.8192951083183289,
-0.13943323493003845,
0.03222896531224251,
0.143905371427536,
0.9177005290985107,
-1.0847363471984863,
-0.009842824190855026,
... |
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.
One example is below.
Q: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like... | Negative | 9 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.1573730856180191,
-0.18262897431850433,
0.23684760928153992,
0.013304282911121845,
0.2890240550041199,
-0.21032118797302246,
0.23165646195411682,
1.2358635663986206,
-0.289519727230072,
0.2168857753276825,
0.16260015964508057,
-0.1204448789358139,
-0.7297540903091431,
-0.2588446736335754... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [27, -9, -235, 0] | 0 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.9953965544700623,
0.5757052898406982,
-0.6917325258255005,
-0.11372817307710648,
0.0020318012684583664,
0.3007146716117859,
1.408910870552063,
0.16206157207489014,
-0.26723188161849976,
0.016698293387889862,
-1.2763036489486694,
-0.5327110290527344,
-0.4556195139884949,
-0.4588180184364... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
７年前ある学生が会社への投資を求め私のところへやってきて言いました
Output: | Há sete anos, um aluno veio ter comigo e pediu-me para investir na empresa dele. | 1 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.18662841618061066,
1.297317385673523,
-0.005919924937188625,
-0.6500505208969116,
0.10959729552268982,
-0.3900885283946991,
-0.36908620595932007,
0.5297784805297852,
0.6518727540969849,
-0.20263229310512543,
0.4092010259628296,
0.23928916454315186,
-0.420293390750885,
-0.123829573392868... |
Definition: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Parlemen di kedua negara menyetujui perjanjian, yang akan mengikat kedua negara.
Output: | 両国の議会は契約に同意したが、それは、両国を結びつけることになる。 | 2 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.13179880380630493,
0.35785403847694397,
-0.12053940445184708,
0.20806729793548584,
0.14499250054359436,
-0.5552307367324829,
1.2873194217681885,
0.17297667264938354,
0.03277302160859108,
-0.48091936111450195,
-0.9283101558685303,
0.35717108845710754,
-1.24229097366333,
0.836792111396789... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Ex Input:
Did you see this kind of movement? Let me conduct you. Twice.
Ex Output:
Vistes ese movemento? Deixádeme que vos dirixa. Dúas veces.
Ex Input:
So that's a factor of two reduction of the childhood death rate.
... | (Risas) Vale? Listos? Fagámolo.
| 1 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-1.0175695419311523,
0.06711870431900024,
-0.24556264281272888,
-0.37927597761154175,
-0.692919909954071,
-0.49673786759376526,
0.6763092875480652,
0.8564813137054443,
0.13389447331428528,
0.1407366693019867,
-0.7778591513633728,
-0.054529283195734024,
0.111379474401474,
0.4515712857246399... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.27957335114479065,
0.36026549339294434,
0.4031641483306885,
-0.016718298196792603,
-0.29428404569625854,
-0.9010311365127563,
0.6511284112930298,
0.7690261602401733,
-0.9279120564460754,
0.21157518029212952,
-0.7144818305969238,
-0.27706006169319153,
-0.1822945773601532,
-0.0727072954177... |
Generate a correct and concise answer for the question based on the words in the context.
One example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Question : What was Isaac Nicola's city of birth?
Solution is he... | Gordon Luce | 6 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.43444207310676575,
0.5110291242599487,
-0.5806193947792053,
-0.12379299849271774,
0.35011130571365356,
-0.3693191707134247,
0.938181459903717,
0.36937177181243896,
0.4278726577758789,
0.3109023869037628,
0.18846404552459717,
0.9306721091270447,
-1.539379596710205,
0.5176311135292053,
0... |
Definition: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the... | [-1, 5, -4, 12, 10, 13, -13, -24, 6] | 2 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.17234328389167786,
0.16588430106639862,
-0.7121644020080566,
0.0170639306306839,
0.2336307018995285,
-0.007970428094267845,
0.8317105174064636,
0.47771549224853516,
0.28340619802474976,
-0.10556354373693466,
-0.5744479894638062,
-0.2862205505371094,
-0.28281170129776,
0.12137806415557861... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences ... | 15 | 6 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4491122364997864,
0.16044658422470093,
-0.2775830626487732,
-0.5189128518104553,
-0.07279065251350403,
0.24119219183921814,
0.8846279382705688,
-0.13700559735298157,
0.5525278449058533,
-0.04543773829936981,
-0.4935508966445923,
-0.2864293158054352,
-0.6516135931015015,
-0.0909275561571... |
Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i... | 17305 | 3 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.26848095655441284,
-0.3829207122325897,
-0.5162069797515869,
-0.5799880027770996,
0.10112404823303223,
-1.014045000076294,
0.4836246371269226,
0.5447393655776978,
-0.6670095324516296,
0.17857521772384644,
-1.102568507194519,
0.5150259733200073,
0.1310136616230011,
-0.3645083010196686,
... |
Given the task definition and input, reply with output. In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
لیونل آندرس «لئو» مسی کوچیتینی بازیکن فوتبال آرژانتینی است که برای باشگاه بارسلونا و تیم ملی آرژانتین در پ... | آرژانتین | 5 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.8484559059143066,
0.07349427044391632,
-0.8925264477729797,
0.4898398518562317,
0.14181825518608093,
0.16776740550994873,
0.42788851261138916,
1.2052428722381592,
-0.575513482093811,
-0.15531471371650696,
-1.0174198150634766,
1.0513019561767578,
-0.5135115385055542,
0.23656615614891052,
... |
Teacher: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").
Teacher: Now, understand the problem? Solve this instance: Fact1: Organisms use lipids to store energy., Fact2: Plants and animals are organisms., Que... | E | 6 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.055347178131341934,
0.20813480019569397,
-0.21927666664123535,
0.031480561941862106,
-0.7381565570831299,
-1.2274367809295654,
0.08009567856788635,
0.7846461534500122,
0.13179785013198853,
-0.5750322937965393,
-0.4652092456817627,
-0.32157427072525024,
-0.7013499736785889,
-0.13199484348... |
Given the task definition and input, reply with output. Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Sounds like some of this attitude might have come from home.
| No | 5 | NIv2 | task1722_civil_comments_threat_classification | zs_opt | [
-0.4875033497810364,
0.6722652316093445,
0.48656678199768066,
0.7421321868896484,
-0.16950827836990356,
-0.6905873417854309,
0.5490884184837341,
0.7649791836738586,
0.09368188679218292,
0.4355287551879883,
-0.47743791341781616,
0.09404679387807846,
-0.6631741523742676,
-0.7447377443313599,... |
Given the task definition and input, reply with output. Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
"Hindi ako mananatili sa maraming laro na kagaya nito."
| 「こんな試合はこれからあまりしたくない。」 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.26345375180244446,
0.28800418972969055,
-0.020447805523872375,
-0.09157276898622513,
-0.16598209738731384,
-0.07365773618221283,
0.9748164415359497,
0.11966679990291595,
0.1999019980430603,
-1.059009313583374,
-0.8478372693061829,
0.3123839199542999,
-0.9285562038421631,
0.5311576128005... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.26429304480552673,
0.13943849503993988,
0.04249100387096405,
-0.255997896194458,
-0.6243575811386108,
-0.7982661724090576,
1.0418314933776855,
0.5475780963897705,
-0.568019688129425,
-0.6095321178436279,
-0.5768153667449951,
-0.5648021697998047,
-0.7832772731781006,
0.21110504865646362,
... |
In this task, you are given a list of unique integers you need to swap the positions of maximum and minimum element in the list and return the updated list.
[32, 14, 400, 228, 387, 277, 427, 108, 481, 479, 154, 432, 398, 142, 115, 173, 286, 267, 356, 183] | [32, 481, 400, 228, 387, 277, 427, 108, 14, 479, 154, 432, 398, 142, 115, 173, 286, 267, 356, 183] | 0 | NIv2 | task1151_swap_max_min | zs_opt | [
-0.5865439176559448,
0.13641361892223358,
-0.19540980458259583,
-0.2301987260580063,
-0.39202627539634705,
-0.37390515208244324,
0.9256260991096497,
-0.1528192162513733,
-0.6144438982009888,
-0.0329284742474556,
-0.7890276908874512,
-0.20702767372131348,
0.06513573229312897,
0.094257161021... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Esto es crucial, porque a menudo los alumnos tienen miedo o incomodidad por lo que otros puedan pensar de ellos por sus opiniones e ideas.
A: This is important, because many times students, they fear or they feel uncom... | I'm sick of it.
****
| 4 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5364194512367249,
0.4095830023288727,
0.3682533800601959,
-0.8083139061927795,
-0.12155257910490036,
-1.260653018951416,
0.3128594756126404,
1.5768004655838013,
-0.24087806046009064,
-0.34206342697143555,
0.517044186592102,
0.15732690691947937,
-0.5960007905960083,
-0.5022261738777161,
... |
Definition: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Input: Reviews: The sprayer plastic packaging ha... | True | 2 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.895488977432251,
-0.4440116286277771,
-0.20400187373161316,
-0.3420916199684143,
-0.14633262157440186,
-0.37452858686447144,
0.02574937231838703,
0.5215962529182434,
-0.18314804136753082,
0.8895528316497803,
-0.6338552236557007,
-0.0905628502368927,
-0.42637932300567627,
0.3499104976654... |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
[EX Q]: ਸਰਕਾਰ ਨੇ 4-ਆਰ ਪਹੁੰਚ - ਮਾਨਤਾ, ਮਤਾ, ਮੁੜ ਪੂੰਜੀਕਰਨ ਅਤੇ ਸੁਧਾਰ ਨੂੰ ਖਤਮ ਕੀਤਾ
[EX A]: સરકારે 4R (recognition, resolution, recapitalization અને reforms... | ભારતીય વાણિજ્યિક સમુદાયના મિત્રો,
| 6 | NIv2 | task1044_pib_translation_punjabi_gujarati | fs_opt | [
-0.5061501264572144,
0.9984029531478882,
0.5863454341888428,
-0.5627057552337646,
0.039225704967975616,
-0.7073096632957458,
0.896297812461853,
0.5806714296340942,
0.02220889925956726,
0.04490051791071892,
-0.5979894399642944,
0.007169308140873909,
-0.5254683494567871,
0.0548386424779892,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
And hand it off to the nurse. She squirts it into a tin.
Output: | و به پرستار میدهیم تا آن را داخل ظرف بریزه. | 1 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.8982425928115845,
0.6912711262702942,
-0.02166387252509594,
-0.020227357745170593,
0.3542053699493408,
0.22424450516700745,
-0.04996176064014435,
0.6644484400749207,
0.7821981906890869,
0.7253066301345825,
-0.08680011332035065,
0.6849718689918518,
-0.22638988494873047,
0.246361285448074... |
Part 1. Definition
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 ser... | run around right after jump right | 7 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.40365010499954224,
0.6304592490196228,
-0.339775025844574,
0.03276986628770828,
-0.09770425409078598,
0.4286479651927948,
0.36416178941726685,
0.6026524305343628,
-0.13076753914356232,
-0.29508280754089355,
-1.1465773582458496,
-0.3528713583946228,
-0.7893834114074707,
-0.106164768338203... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Sally lives by a large lake full of fish. | 3 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.2984202802181244,
0.5492073893547058,
-0.2841980457305908,
-0.7952616214752197,
-0.6067201495170593,
-0.027876291424036026,
0.7044885158538818,
0.5584580898284912,
-0.47169893980026245,
-0.3520508110523224,
-0.5805625319480896,
0.39005181193351746,
0.22124308347702026,
-0.17748560011386... |
Q: In this task you're given two statements in Marathi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect' .
ग्राहक बुटीकमध्ये आला.
विंडो डिस्प्लेने तिची नजर पकडली.
A: | cause | 7 | NIv2 | task943_copa_mr_commonsense_cause_effect | zs_opt | [
-0.2984161078929901,
0.47303101420402527,
-0.10714498162269592,
-0.49689382314682007,
-0.29476937651634216,
-0.5413501262664795,
-0.07876590639352798,
0.788536548614502,
0.8028895854949951,
-0.05889140069484711,
-0.2683470547199249,
-0.20779946446418762,
-0.27830761671066284,
0.08899313211... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Input: Consider Input: 「デザインを基に行動する事は大切なんだ」
Output: "" Wszyscy powinniśmy działać według projektu.
Input: Consider Input: 靴は歯科治療用の材料で作りました
Output: Zrobiliśmy je z masy dentystycznej.
Input: Consider Input: これはエジソンの蓄... | Output: Oto pokaz nagrywania i odtwarzania dźwięku za pomocą fonografu Edisona.
| 2 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.3178340196609497,
0.5408011674880981,
-0.636439323425293,
0.19367638230323792,
-0.601703405380249,
-0.7804862260818481,
0.8157694935798645,
-0.34485840797424316,
-0.15139803290367126,
-0.5683666467666626,
-0.2015634924173355,
1.451629877090454,
-0.10963000357151031,
-0.24506130814552307... |
Q: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
(DE) Señor Cohn-Bendit, Señorías, me parece que el Parlamento Europeo no es el lugar para inmiscuirse en la ... | (DE) Mr Cohn-Bendit, I do not think that the European Parliament has any business intervening to such a huge extent in a country' s domestic politics, in the way that you are doing. | 7 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.4070490002632141,
0.518363356590271,
0.25401726365089417,
0.07555978000164032,
0.11843930184841156,
-1.1198737621307373,
0.646782636642456,
-0.10520458221435547,
-0.23497982323169708,
-0.031045250594615936,
0.09713719040155411,
0.35774368047714233,
-0.5549604892730713,
-0.16300150752067... |
Given the task definition and input, reply with output. In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatica... | ['In', 'the', 'following', 'graph,', 'is', 'y', 'a', 'function', 'of', 'x?', 'So', 'in', 'order', 'for', 'y', 'to', 'be', 'a', 'function', 'of', 'x,', 'for', 'any', 'x', 'that', 'you', 'input', 'into', 'the', 'function,', 'any', 'x', 'for', 'which', 'the', 'function', 'is', 'is', 'defined', 'so', "let's", 'say', 'we', ... | 5 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.5808297395706177,
0.21565566956996918,
0.17044739425182343,
-0.0007065995596349239,
0.6585773825645447,
-0.849645733833313,
-0.21433719992637634,
1.1436617374420166,
-0.3388851583003998,
0.13901525735855103,
-0.2557207942008972,
-0.060628391802310944,
-0.15363621711730957,
-0.25094446539... |
Detailed Instructions: In this task, you need to reverse the order of words in the given sentence.
Problem:Sentence: the woman is holding food in her hand
Solution: | hand her in food holding is woman the | 8 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.24682214856147766,
1.1259595155715942,
-0.43889036774635315,
-0.32418495416641235,
-0.32715630531311035,
-0.339239239692688,
0.4176616370677948,
0.7722604274749756,
0.15780460834503174,
-0.18956579267978668,
-0.8852771520614624,
-0.8761770129203796,
-0.6195237636566162,
-0.09609873592853... |
Q: In this task, you are given a sentence in English, and your task is to translate it into Persian.
youre the one soul .
A: | تنها فردي هستي . | 7 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.36893463134765625,
0.8521255254745483,
-0.4056461751461029,
-0.35033223032951355,
-0.27581697702407837,
-0.7258232831954956,
1.3018931150436401,
0.07062457501888275,
0.5806395411491394,
0.20615249872207642,
0.49974381923675537,
0.2256220281124115,
0.41439664363861084,
0.1799345016479492... |
Q: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output... | Yes | 7 | NIv2 | task355_casino_classification_negotiation_other_need | zs_opt | [
-0.4483969211578369,
0.5632910132408142,
-0.2983385920524597,
-0.014272092841565609,
-0.4692312180995941,
-0.9477312564849854,
0.5012260675430298,
0.6920979022979736,
-0.2588561177253723,
0.15412573516368866,
0.2969517111778259,
-0.15149953961372375,
-1.2879078388214111,
0.0095169292762875... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applyi... | [174, 156, 3, 147, 66, 178, 213, 92] | 5 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-0.6613876223564148,
0.3220061659812927,
0.15488910675048828,
0.026412997394800186,
0.2766703963279724,
-0.0054468512535095215,
0.4964141249656677,
0.13490444421768188,
-0.07456502318382263,
0.14821729063987732,
-0.5772916078567505,
-0.05350822955369949,
-0.39173147082328796,
0.02633436024... |
Teacher: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Teacher: Now, understand the problem? If you are... | Swedish | 2 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.14761826395988464,
0.527101993560791,
0.9366782903671265,
-0.397286057472229,
0.3073205351829529,
-0.6175796389579773,
0.34002357721328735,
0.47420430183410645,
0.8512741923332214,
-0.15549978613853455,
0.2037564367055893,
0.586837649345398,
-0.39869314432144165,
-0.6028483510017395,
... |
Definition: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: 他の車を押しのけようとしていたとみられている。
Output: | It is thought he was trying to force the other vehicle out of the way. | 2 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.09459260106086731,
0.339145302772522,
0.8773084282875061,
-0.33548808097839355,
0.3756735920906067,
0.4776167869567871,
0.4375290870666504,
0.26971060037612915,
0.18869778513908386,
-0.24637886881828308,
-0.5760306715965271,
0.031417135149240494,
-0.9705843925476074,
0.2469218671321869,... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [238, 182, 374, -17.0, 38, 302, -218, 2.0, -13.5, -21.5, -282]
| 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.8327090740203857,
0.4542258381843567,
-0.19681529700756073,
0.15984727442264557,
0.2932334244251251,
0.0400674045085907,
1.1514711380004883,
0.17215901613235474,
-0.3814513683319092,
0.19474756717681885,
-1.030167579650879,
-0.5358905792236328,
-0.7997695803642273,
-0.15292493999004364,... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. 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 ... | The dog is a german shepherd. | 5 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.8362046480178833,
1.0562629699707031,
0.2649259567260742,
-0.5854825377464294,
-0.38587066531181335,
-0.37291383743286133,
-0.3516116142272949,
0.734009861946106,
0.36804303526878357,
-0.45310232043266296,
-0.8557329177856445,
-0.3546990752220154,
-0.3689417243003845,
-0.215574577450752... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: אז תשומת הלב שלי, איפה היא הייתה חייבת להיות?
Student: | Y así mi atención, ¿a dónde debía ir? | 6 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.7910040616989136,
0.09293027222156525,
0.4290063977241516,
-0.9048342108726501,
-0.2536258101463318,
-0.2753981351852417,
0.3038701117038727,
0.4490445852279663,
0.8142383098602295,
-0.5920634269714355,
0.05592484772205353,
-0.10473716259002686,
-0.9430851936340332,
-0.40844103693962097... |
Given a sentence in English, provide the sentiment based on its empathetic direction. There are two possible classifications: positive (happy) or negative (offmychest).
Example Input: i want to be abused . i do n’t know why . i am in this great relationship with this wonderful man . but you see , i have this thing wit... | negative
| 3 | NIv2 | task819_pec_sentiment_classification | fs_opt | [
-0.23692908883094788,
0.13181595504283905,
0.5607777833938599,
0.07847864925861359,
0.5798097252845764,
-1.283200979232788,
0.21164312958717346,
0.5237367749214172,
0.9809018969535828,
0.3985429108142853,
-0.9272989630699158,
0.19060441851615906,
-0.3881610333919525,
-0.7396342754364014,
... |
Part 1. Definition
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Part 2. Example
Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the... | No | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.35066765546798706,
0.07775048911571503,
0.091128870844841,
0.16734373569488525,
0.2148299366235733,
-0.4818759858608246,
0.43132397532463074,
1.2347915172576904,
-0.2501615881919861,
0.19165191054344177,
-0.6540532112121582,
-0.1789383739233017,
0.5887943506240845,
-0.18017268180847168,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information... | In what year did Lord Nelson claim victory at the Battle of Trafalgar? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.5445965528488159,
0.7554600834846497,
-0.7683625221252441,
-0.14772427082061768,
0.34389638900756836,
-0.9556061029434204,
0.949526309967041,
0.912933349609375,
0.042400062084198,
0.17790953814983368,
-0.8449424505233765,
0.1688506007194519,
-0.525926947593689,
0.22206240892410278,
0.4... |
Teacher: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).
Teacher: Now, understand the problem? Solve this instance: 1997 was a matter for the old Commission and... | 1997 pertenece al mandato de la antigua Comisión y por ello la nueva piensa que no puede asumir la responsabilidad. | 6 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.7013088464736938,
1.0571818351745605,
0.312225341796875,
-0.6644609570503235,
0.14226295053958893,
-0.9453573822975159,
0.6535540819168091,
1.6314345598220825,
-0.4209519624710083,
0.057700734585523605,
0.15944205224514008,
0.0016420397441834211,
-0.2194337248802185,
0.37486791610717773... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Ex Input:
Sentence1: His dissent was joined by Chief Justice William H. Rehnquist and Justice Clarence Thomas ., Sentence2: Chief Justice William H. Rehnquist and Justices Anton... | Yes
| 1 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.10097329318523407,
0.2278720587491989,
-0.10521440207958221,
0.28409045934677124,
-0.19537843763828278,
-0.6807483434677124,
-0.3914151191711426,
0.5352356433868408,
-0.294655978679657,
-0.004796292632818222,
-0.14415805041790009,
0.09979060292243958,
-0.4515988528728485,
0.473090946674... |
Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Dialogue 1: 'can l say something yea sure what is it why not 100'. Dialogue 2: ... | yes | 3 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.6066094040870667,
0.1486085057258606,
0.2794719934463501,
-0.30370908975601196,
-0.3533414602279663,
0.7146514654159546,
1.2486820220947266,
-0.0238807313144207,
-0.10336664319038391,
-0.22256889939308167,
-0.03861343860626221,
-0.4826146066188812,
-0.2619837820529938,
0.419901967048645... |
Instructions: In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
Input: در توجیه یا رد این نظریه تاکنون بسیار کتابها و مقالات نوشته شدهاست. برخی آن را موجب شیوع یافتن د... | چرا دین نباید در سیاست دخالت داشته باشد؟ | 3 | NIv2 | task468_parsinlu_rc_question_generation | zs_opt | [
-0.2630923390388489,
0.9799541234970093,
-0.18885153532028198,
-0.1406959444284439,
-0.5136644244194031,
0.2288386970758438,
0.7343753576278687,
0.29610487818717957,
0.7895603179931641,
-0.35348910093307495,
-1.352095603942871,
0.0278670284897089,
-0.5316376686096191,
0.10308675467967987,
... |
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Ex Input:
Sentence: Electrophiles have a strong tendency to react with nucleophiles. Question: Electrophiles have a strong tendency to react with what?
Ex Output:
nucleophiles
... | weeds
| 1 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
-0.557109534740448,
0.4385669231414795,
-0.351902574300766,
-0.3860333561897278,
0.04894745349884033,
-1.0850114822387695,
-0.4257880449295044,
0.6461101770401001,
0.6315628886222839,
0.05776428058743477,
-0.49722516536712646,
0.05105258896946907,
-0.6788442134857178,
-0.45791128277778625,... |
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