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're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
--------
Question: Sentence 1: yeah but who cares ab... | government
| 7 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.2784534692764282,
0.5904203653335571,
0.4877093434333801,
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0.11866459250450134,
-0.5373088717460632,
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... |
Teacher:Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e... | no | 6 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.4032592177391052,
0.6689127683639526,
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You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
(Aplausos) O interesante é que a prensa non podía entendelo.
Output: | (Aplausos) O que era interessante é que os media não conseguiam entrar. | 1 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.6770773530006409,
0.8427075147628784,
0.06797106564044952,
-0.42513787746429443,
0.0017433231696486473,
-0.3897494077682495,
-0.180982306599617,
0.572338879108429,
0.3141155242919922,
-0.0023481608368456364,
-0.755768358707428,
-0.11808978021144867,
-0.6640270948410034,
0.07964693009853... |
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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. ... | Yes
| 8 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.4521504044532776,
-0.15562394261360168,
0.08041410893201828,
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1.3289873600006104,
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You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[Q]: Statement: ১৯৪৪ চনত স্নাতক পাঠ্যক্ৰম গ্ৰহণৰ বাবে <MASK> আহে, তেতিয়া ভাৰতৰ কমিউনিষ্ট পাৰ্টিৰ সাংস্কৃতিক দল ... | তেজপুৰ
| 5 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.03365735337138176,
0.966731607913971,
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... |
Q: Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product. Given medica... | non-adverse drug event | 7 | NIv2 | task1495_adverse_drug_event_classification | zs_opt | [
0.4211176633834839,
0.03305321931838989,
0.08687815070152283,
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Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
È comunicandolo in una forma semplice e chiara, che il lettore può comprenderlo.
A: | É comunicar de uma forma simples e clara, que o nosso leitor perceba à primeira. | 7 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.43419331312179565,
1.2100260257720947,
0.2882609963417053,
-1.2438932657241821,
0.03882962837815285,
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-0.27196240425109863,
0.650237500667572,
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-0.31798693537712097,
-0.02816751040518284,
0.08114360272884369,
0.33693143725395... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | Solution: scar these be the type of scar that can not be see scar that be skin-deep do these scar define u a a person if we reveal these scar will it at least provide some compassion and sympathy in people you see these scar be form when people injure you verbally or physically these scar all have meaning to them so if... | 5 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.18986478447914124,
1.7318912744522095,
0.0020600655116140842,
-0.6420106887817383,
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Q: Translate the given Spanish text to English
The watch face (12) indicates a time of day in an analog format.
A: | La carátula de reloj (12) indica una hora del día en un formato analogico. | 7 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.5168728232383728,
1.011501431465149,
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0.2018461525440216,
0.10182097554206848,
0.07519365847110748,
0.12792444229125977,
0.4317558407783508... |
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... | walk thrice after turn opposite right thrice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.18361030519008636,
1.1726574897766113,
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Detailed Instructions: 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).
See one example below:
Problem: Alonzo feels angry.
Solution: male
Explanation: The gender of the person is correct and ... | female | 4 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.6334868669509888,
0.38411587476730347,
-0.5149344205856323,
-0.7064348459243774,
-0.6178544759750366,
-0.5333356857299805,
1.1151758432388306,
-0.23786692321300507,
0.29923465847969055,
-0.04768390208482742,
-0.8004209399223328,
-0.30482518672943115,
-1.0061545372009277,
0.2970615327358... |
You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not generate anything el... | D
| 1 | NIv2 | task073_commonsenseqa_answer_generation | fs_opt | [
-0.46995580196380615,
-0.031241174787282944,
-0.4722806215286255,
0.386991024017334,
-0.6759680509567261,
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-0.4515163004398346,
0.0623660571873188,
-0.13771051168441772,
-0.191309958696365... |
Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. I... | customer: Most welcome. | 3 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.15771378576755524,
0.31732410192489624,
-0.725631594657898,
-0.702066957950592,
0.2177954465150833,
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0.8953580260276794,
-0.15500594675540924,
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0.7613889575004578,
0.6194411516189575,
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-0.3633074164390564,
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Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Problem:Por isso, preferimos olhar para esta imagem e acreditar nela.
Solution: | پس انتخاب میکنیم که این عکسهارو ببینیم و باور کنیم | 8 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
0.07316135615110397,
1.0530415773391724,
0.23701544106006622,
-0.2020145058631897,
-0.5765126347541809,
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1.1037886142730713,
0.38700103759765625,
1.216055154800415,
-0.12852352857589722,
-1.1271456480026245,
0.2346930354833603,
-0.4860917329788208,
0.6665359139442444,
... |
Definition: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Input: In transfection studies , either constitutively active Vav or Rac could complement constitutively active calcineurin to a... | NF - AT | 2 | NIv2 | task1480_gene_extraction_jnlpba_dataset | zs_opt | [
-0.24307763576507568,
-0.25039637088775635,
-0.3182947635650635,
0.35913148522377014,
-0.26956504583358765,
0.040868669748306274,
1.1351807117462158,
0.3844130039215088,
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-0.1306828409433365,
-0.7538082003593445,
-0.37140730023384094,
-0.8435758352279663,
0.515236139297... |
Definition: In this task, you will be given a sentence, and you need to identify the set of coreference words. Coreferences are generally a set of words in the text that refer to the same person or thing. Your output set of coreference words must be strictly present in the given input sentence. Do not use any outside k... | the, physician, he | 2 | NIv2 | task1664_winobias_text_generation | zs_opt | [
-0.12911143898963928,
0.7951232194900513,
-0.693449854850769,
0.47951579093933105,
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-0.23452582955360413,
-0.3108273148536682,
0.08435218036174774,... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
One example is below.
Q: English sentence: Lionel Messi is the greatest football player of all time
A: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Rationale: The output exac... | 9 Rabbigu waa yaqaan sida kuwa cibaadada leh jirrabaadda looga samatabbixiyo iyo sida kuwa aan xaqa ahayn loo hayo iyagoo ciqaaban ilaa maalinta xisaabta, | 9 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
0.16135399043560028,
0.7103214263916016,
0.045553531497716904,
0.0031156339682638645,
0.16141608357429504,
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-0.10786575824022293,
1.4057953357696533,
-1.3169376850128174,
0.106988102197... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
i A combination of judicial and executive functions were vested in the same officer .
A: | न्यायिक तथा कार्यपालक कार्यों का संयोजन अर्थात न्यायाधीश और अभियोजक के कार्य एक ही अधिकारी करता था ; | 7 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.23293659090995789,
0.36389899253845215,
-0.14415006339550018,
-0.6231726408004761,
0.10889726877212524,
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0.5973048210... |
Q: Translate the given Spanish text to English
Methods of generating same are also disclosed.
A: | También se describen métodos para generar los mismos. | 7 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.08844786882400513,
1.0306775569915771,
0.041899461299180984,
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1.4617657661437988,
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0.020435834303498268,
0.16297191381454468,
0.627452552318573,
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0.3152768611907959,
... |
Teacher:Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
Teacher: Now, understand the problem? Solve this instance: This hotel was very beautiful. I went with a group of 4 friends and we had a blast. It was very centrally located and was close to all sorts of ... | positive | 6 | NIv2 | task902_deceptive_opinion_spam_classification | zs_opt | [
-0.33352556824684143,
0.13770747184753418,
-0.24983742833137512,
-0.24427424371242523,
-0.15978193283081055,
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0.12717768549919128,
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-0.62805169820... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: A musicie tylko zauważyć, że gdzie jest światło, tam jest potencjalny sposób przesyłu danych.
Student: | ويجب عليك ان تلاحظ فقط, حيث لدينا الضوء هنالك امكانية لبث البيانات | 6 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.536115288734436,
0.39450564980506897,
-0.22664745151996613,
-0.8158999085426331,
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0.025332143530249596,
1.5499762296676636,
0.09444768726825714,
0.16419944167137146,
0.21792510151863098,
0.10911549627780914,
-0.01810293458402157,
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-0.194352626800... |
Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the ind... | green_treasure_chest | 3 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.3754291832447052,
-0.46193745732307434,
-0.43739938735961914,
-0.29504209756851196,
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0.0816735327243805,
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0.5603652000427246,
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-0.17142447829... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | negative | 6 | NIv2 | task284_imdb_classification | fs_opt | [
0.5461606979370117,
0.7178609371185303,
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0.33494675159454346,
0.36766523122787476,
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1.5300174951553345,
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-0.3832642138004303,
0.40349382162094116,
-0.3356580436229706,
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... |
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.
Q: Comment: Not sure there's much to be proud of in being welcomed by ... | Non-sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.5691463947296143,
0.21474589407444,
0.5990169048309326,
-0.23204168677330017,
-0.2692793905735016,
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0.31030941009521484,
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0.8714022636413574,
-0.09317132085561752,
0.03512781113386154,
-0.5760040283203125,
-0.4040147066116333,... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Q: Problem: solution y is 30 percent liquid x and 70 percent water. if 2 k... | b
****
| 4 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
-0.3080196976661682,
-0.07803532481193542,
-0.2207758128643036,
-0.43541109561920166,
0.6095612049102783,
-0.15332189202308655,
0.012606656178832054,
1.197544813156128,
0.2921133041381836,
0.27444300055503845,
0.1156715601682663,
-0.2687036395072937,
-0.38521790504455566,
-0.02936994284391... |
Teacher: 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).
Teacher: Now, understand the problem? If you are still confused,... | That this enforced holiday was fruitful in . a truly creative sense is evidenced from the quality of poems exquisite and haunting in their playful and restrained tenderness which he wrote during his stay at San Isidro and for some time after . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.06998474150896072,
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0.6301038861274719,
-0.23199057579040527,
0.32754313945770264,
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0.565376877784729,
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-0.38993409276008606,
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-0.34672218561172485,
-0.051448244... |
Instructions: This task is about translating a given Spanish language sentence to English.
Input: Todas esas cosas que estás diciendo, Jacque... ¿podrían ser construidas con lo que sabemos hoy?
Output: | Are all of these things you are saying, Jacque... could they be built with what we know today? | 3 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.12043106555938721,
1.887332558631897,
1.098584532737732,
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0.4023129642009735,
0.8791812658309937,
0.24426326155662537,
0.434848815202713,
0.5984354615211487,
0.0628938227891922,
-0.649887204170227,
0.05266126990318298,
-0... |
Given the task definition, example input & output, solve the new input case.
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Example: Our friends won't buy this analysis, let a... | 0 | 1 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.3447498679161072,
1.0814611911773682,
0.009025165811181068,
-0.006207261234521866,
0.5893298387527466,
-0.5875828266143799,
0.3635810613632202,
0.8669134378433228,
0.4288896322250366,
-0.22778576612472534,
-0.40216025710105896,
-0.3972361981868744,
0.10602428764104843,
-0.71510386466979... |
Teacher:Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Teacher: Now, understand the problem? Solve this instance: concept: Robert H Schuller question: what happened to rev. robert schuller?
Student: | ['Televangelist', 'Writer'] | 6 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.6917848587036133,
0.5754649639129639,
0.12101566791534424,
-0.47657743096351624,
-0.7204388380050659,
-0.3578729033470154,
0.3340258002281189,
-0.233364999294281,
1.2082149982452393,
-0.7645010948181152,
-0.09687172621488571,
-0.11264915019273758,
-0.18156808614730835,
-0.26697665452957... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Q: O rostro ancián tórnase miserable.
A: | A cara mais velha está miserável. | 9 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
0.35169780254364014,
1.719952940940857,
0.42473024129867554,
-1.5112501382827759,
-0.4136013388633728,
-0.5002849102020264,
-0.5164541006088257,
1.7028850317001343,
-0.06503225117921829,
0.04373249039053917,
-0.2189529538154602,
-0.46406006813049316,
-0.5788550972938538,
0.3089683949947357... |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) 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 FAC... | Solution: Not similar | 5 | NIv2 | task146_afs_argument_similarity_gun_control | fs_opt | [
-0.17160414159297943,
0.08454392850399017,
-0.07476237416267395,
0.2799637019634247,
0.21420879662036896,
-0.980624794960022,
0.22194916009902954,
1.4426443576812744,
0.023066557943820953,
0.6752129793167114,
-0.6741962432861328,
0.050178080797195435,
-0.7308746576309204,
-0.24658147990703... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive... | The family friendly food place, _____, serves decent full _____ breakfasts at low prices. | 1 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.703603208065033,
0.4778853952884674,
-0.4550148844718933,
0.10025833547115326,
0.18946591019630432,
0.600345253944397,
0.9668229222297668,
-0.0817156434059143,
0.36235377192497253,
-0.44476985931396484,
-0.5758984684944153,
0.10566490143537521,
-0.03256669640541077,
-0.17775440216064453... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B".... | The album comes out >Causes/Enables> Jen goes to buy it | 2 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
-0.021959153935313225,
0.3865879476070404,
-0.5946124196052551,
-0.2061159759759903,
-0.4641536772251129,
-0.37207984924316406,
0.23608633875846863,
0.33411023020744324,
-0.9295482635498047,
0.05674874410033226,
-0.35067176818847656,
0.38400453329086304,
-0.8125447630882263,
-0.46613702178... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 政府のスポークスマンによると、「処刑はいかなる暴力も、叫びも、喜びの泣き声もなく行われた」。
A: โฆษกรัฐบาลอิรักแจ้งว่า "การประหารชีวิต[เขา]มีขึ้นโดยไม่เกิดเหตุรุนแรงใดๆ ไม่มีเสียงกู่ตะโกนหรือ... | ผู้ต้องสงสัยทั้งสองได้หลบหนีออกไปพร้อมกับตัวประกันหญิงหนึ่งคน ด้วยการขับรถของลูกจ้างธนาคารคนหนึ่ง แต่ก็ขับไปได้ไม่ถึงหนึ่งไมล์ก่อนที่เจอด่านกั้นถนนหยุดพวกเขาเอาไว้
****
| 4 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
-0.2600690722465515,
0.4401400089263916,
-0.09375229477882385,
-0.5664620399475098,
-0.2285933643579483,
-0.46748965978622437,
0.9121959209442139,
0.9172775149345398,
-0.010584758594632149,
-0.022456038743257523,
-0.6836621761322021,
0.3803556263446808,
-0.920203685760498,
0.50070351362228... |
In this task, you are provided with an article of the legal acts. Your task is to classify it into three categories (Regulation, Decision and Directive) based on its content: 1) Regulation is a binding legislative act that must be applied in its entirety on a set date across all the member states (European Union countr... | Decision | 0 | NIv2 | task744_eurlex_classification | zs_opt | [
-0.03689016401767731,
0.3635673522949219,
0.034386180341243744,
0.030415544286370277,
-0.16947819292545319,
-0.08764577656984329,
0.4803481101989746,
0.5820995569229126,
-0.5485467910766602,
0.3955698013305664,
-0.7756376266479492,
0.40678679943084717,
-0.2788197100162506,
-0.1923206448554... |
Q: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Washington (CNN) In response to a questio... | (E) | 7 | NIv2 | task302_record_classification | zs_opt | [
0.29909229278564453,
0.5652840733528137,
-0.2617914378643036,
0.27591222524642944,
-0.0014242467004805803,
0.15924352407455444,
0.18914218246936798,
1.0252896547317505,
0.13383862376213074,
0.6366583108901978,
0.1290149986743927,
0.9565132260322571,
-0.9853489995002747,
-0.1606367826461792... |
Q: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to... | Vlasnik sam tvrtke koja se bavi dizajnom i animacijom, tako da su graffiti definitivno zamršen dio onoga čemu se divimo i što poštujemo u svijetu umjetnosti. | 7 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.7703831195831299,
0.8522068858146667,
0.034942448139190674,
0.3778398633003235,
0.18352976441383362,
-1.0685008764266968,
-0.0028354404494166374,
0.10157063603401184,
0.08780939877033234,
-0.1626472771167755,
0.3038148283958435,
0.3120555281639099,
-0.4472777843475342,
0.047471415251493... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's senti... | mixed | 1 | NIv2 | task525_parsinlu_movie_aspect_classification | fs_opt | [
-0.4160284101963043,
0.3027156591415405,
-0.09790156036615372,
0.31027811765670776,
0.2835066616535187,
-0.017194978892803192,
1.067441463470459,
0.9997022151947021,
0.38453465700149536,
-0.00787720363587141,
-0.010834245942533016,
0.015708256512880325,
-0.06941454857587814,
-0.09457612037... |
You will be given a definition of a task first, then some input of the task.
In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '2 cans corn', '1 small chopped green chilies', '1 small sour cream', '2 eggs, beaten', '1/4 c. corn meal', '1 (10 oz.) Ch... | Corn Casserole | 1 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.026317980140447617,
0.5628297328948975,
-0.028636496514081955,
0.3659091293811798,
-0.13354620337486267,
0.6983734965324402,
0.16555847227573395,
0.26819825172424316,
-0.6916388869285583,
-0.23137062788009644,
0.3978370428085327,
0.09803330898284912,
-0.4437192380428314,
0.10788325965404... |
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... | search for a bike | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
1.1689281463623047,
-0.10451176017522812,
-0.656853199005127,
0.8105230331420898,
0.19193196296691895,
0.3381216824054718,
0.930560290813446,
0.6759099960327148,
0.10103806853294373,
0.29836124181747437,
-0.20393818616867065,
0.5634070634841919,
-0.13633276522159576,
-0.014987647533416748,... |
Instructions: 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.
Input: The learning model for retrieval is trained by an oracle constructed using distant supervision. Using the answer labels in the training ... | Using the answer labels in the training set, we can find appropriate articles that include the information requested in the question. | 3 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.8572666645050049,
0.4565621316432953,
-0.08459153771400452,
-0.01665365882217884,
-0.47875434160232544,
0.30243533849716187,
1.0215532779693604,
-0.03529210388660431,
0.4844622015953064,
0.15506672859191895,
-0.7342633008956909,
-0.07015755027532578,
-0.13826915621757507,
0.356827557086... |
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... | When was the structure the crew of the Abana mistook for a lighthouse constructed? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.21692907810211182,
0.5278328657150269,
-0.8114653825759888,
-0.28333088755607605,
0.27727147936820984,
-0.7598666548728943,
0.8120739459991455,
0.8234665989875793,
-0.0539204403758049,
0.14809206128120422,
-0.23487544059753418,
0.43275898694992065,
-0.3621792197227478,
0.2501413822174072... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Ex Input:
یک نرم افزارکاربردی ، یک شبکه اینترنتی و یک نرم افزارموبایل ، به نام ارتباط شهروندی داره.
Ex Output:
Ten unha aplicación para Internet e móbil, chamada Citizens Connect.
Ex Input:
این مجموعه ای شگفت انگیز ا... | Temos que cambialo para que exista igualdade de oportunidades.
| 1 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.5369817018508911,
0.6037179827690125,
-0.7607907652854919,
-0.23447886109352112,
-0.7772931456565857,
-0.49455612897872925,
0.5215171575546265,
0.6780171394348145,
0.29122620820999146,
0.1836358904838562,
-0.7256448864936829,
0.9387352466583252,
-0.42192885279655457,
-0.4718260765075683... |
Q: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.... | Original | 7 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.9544616341590881,
0.1714354157447815,
0.48081886768341064,
0.02741846814751625,
0.12142697721719742,
-0.13313058018684387,
0.48704594373703003,
0.5072060823440552,
0.4400080740451813,
-0.3258700966835022,
-1.2044615745544434,
-0.6558224558830261,
-0.3612285554409027,
0.09106776118278503... |
TASK DEFINITION: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
PROBLEM: i feel a little glamorous i wet the brush
SOLUTION: joy
PROBLEM: im thinking that feeling extremely cold yesterd... | love
| 8 | NIv2 | task875_emotion_classification | fs_opt | [
0.08589402586221695,
-0.0013022437924519181,
0.6493721008300781,
-0.2550007700920105,
0.33345043659210205,
-1.2745230197906494,
0.3328056037425995,
0.46874916553497314,
-0.032167255878448486,
-0.3625062108039856,
-0.3931850492954254,
-0.19488656520843506,
-1.0800213813781738,
-0.1502171307... |
Given the task definition and input, reply with output. 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... | down the alley | 5 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.6061623096466064,
0.7992740869522095,
-0.6719646453857422,
0.21148814260959625,
-0.08235339820384979,
-0.32674115896224976,
0.3604915738105774,
0.8206242918968201,
0.36349791288375854,
-0.6179684400558472,
-0.4526973068714142,
0.7783803343772888,
-0.41359835863113403,
-0.2245388180017471... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Input: Consider Input: Context: .@VP Mike ... | Output: no
| 2 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.08912332355976105,
0.010044449009001255,
-0.5184746384620667,
0.6416550874710083,
0.12231507152318954,
-0.234974667429924,
0.5717437267303467,
0.7771168351173401,
-0.08921841531991959,
0.4320167005062103,
-0.22545182704925537,
-0.009534556418657303,
0.2999371886253357,
0.367910772562027,... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: 3129
Example explanation: Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) is 3129.... | Solution: 13637 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.5648128390312195,
0.45046985149383545,
-0.6267501711845398,
-0.6880605816841125,
0.02573930099606514,
-0.1309761255979538,
0.07208456844091415,
0.05518098548054695,
-0.6218289732933044,
-0.036410994827747345,
-0.8640497922897339,
-0.11663021147251129,
0.13365989923477173,
0.018020406365... |
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.
Q: Passage: Inhabited on a mysterious island are strange creatures called Boggs ... | Ishbo.
****
| 4 | NIv2 | task002_quoref_answer_generation | fs_opt | [
1.2649635076522827,
0.28458142280578613,
-0.8333240151405334,
-0.15080174803733826,
0.4142211377620697,
-0.45532888174057007,
1.1072158813476562,
0.49308618903160095,
-0.5512653589248657,
-0.23768959939479828,
0.03107571229338646,
0.043169960379600525,
-0.32486069202423096,
0.5047383308410... |
Teacher: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Teacher: Now, understand the problem? If you are still confused, see the following example:
रोजगार कार्यालय जाओ.
Solution: Go to the employment of... | I need my bicycle. | 2 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.4669293463230133,
0.003878571093082428,
0.3266613483428955,
0.25949451327323914,
0.2810963988304138,
-0.8211466670036316,
-0.17274907231330872,
0.01772688329219818,
0.044728659093379974,
-0.13895843923091888,
0.006770308129489422,
-0.3316282331943512,
0.17495650053024292,
-0.04582357034... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Example Input: This mild semi-soft/soft cheese has a range of subtle flavors that I have yet to find elsewhere. The price is w... | False
| 3 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.16142688691616058,
-0.48316484689712524,
0.23474401235580444,
0.2030361294746399,
-0.22638852894306183,
-0.3882145881652832,
0.8232434988021851,
0.2958953380584717,
-0.02538004145026207,
-0.17578226327896118,
0.0523127056658268,
0.2939590811729431,
-0.4732869565486908,
-0.24405108392238... |
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 event. You ... | Yes | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.12738406658172607,
0.49117767810821533,
-0.03717041015625,
-0.00391004653647542,
-0.6785974502563477,
-0.7648513913154602,
1.0711909532546997,
0.22339008748531342,
-0.40222805738449097,
-0.4965587854385376,
-0.35475075244903564,
-0.31842654943466187,
-0.33928894996643066,
0.1657300442457... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
One example is below.
Q: M: I am considering dropping ... | Salt. | 9 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.05603130906820297,
0.1390666663646698,
0.0033151821698993444,
0.05053149536252022,
0.1854466199874878,
-0.48283296823501587,
0.6474742293357849,
0.5720064043998718,
-0.14338508248329163,
-0.18399661779403687,
-0.28418654203414917,
0.10232403874397278,
-0.3938630223274231,
-0.068408891558... |
Instructions: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Input: ['8273', 'l', '6843', '6891', 'm', 'b', 'r'... | a, b, c, d, e, i, l, m, n, o, q, r, t, x | 3 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.4427090287208557,
0.43494588136672974,
-0.1785769760608673,
-0.12423977255821228,
0.06653240323066711,
-0.1669943928718567,
0.47426638007164,
-0.20942790806293488,
-0.6914178133010864,
0.010836783796548843,
-0.8066962361335754,
-0.4970167279243469,
-0.2506848871707916,
0.014204856008291... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | None | 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.261200487613678,
0.38579320907592773,
0.1900845766067505,
-0.28659549355506897,
-0.6696438193321228,
-0.19219142198562622,
1.282373070716858,
-0.4259955883026123,
0.7381894588470459,
-0.4101089537143707,
-0.8054240942001343,
0.4519064724445343,
-0.2190541923046112,
0.1587960571050644,
... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
[Q]: [151.151, 144.049, 217.252]
[A]: 170.817
... | 74.83
| 5 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.28193122148513794,
0.550823450088501,
-0.7569444179534912,
-1.5250645875930786,
-0.076952263712883,
0.18849590420722961,
0.4481779932975769,
0.2979699969291687,
-0.24660974740982056,
0.2289152443408966,
-1.245617389678955,
0.43901389837265015,
-0.6983356475830078,
0.3183702826499939,
... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset o... | PRON | 8 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.4415907859802246,
0.2171025574207306,
-0.31710994243621826,
0.2488708198070526,
-0.18110519647598267,
-0.6329481601715088,
0.7406265735626221,
0.6287122964859009,
-0.2434421330690384,
-0.0985017716884613,
-0.6953970193862915,
0.08618879318237305,
-0.5768907070159912,
0.2562409043312073,
... |
Q: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I own my own business.<sep>Sentence-2: I have gotten a job .
A: | Yes | 7 | NIv2 | task566_circa_classification | zs_opt | [
-0.7090147733688354,
0.7162777185440063,
0.4347437024116516,
-0.07270340621471405,
0.14746683835983276,
-0.3719996213912964,
-0.08623489737510681,
1.1969610452651978,
0.3269333243370056,
0.128673255443573,
-0.1366061270236969,
-0.913245677947998,
-0.7381319999694824,
-0.7585114240646362,
... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Cynthia ran out of concealer so she had to borrow some from Kayla. _ felt appreciative about it. (A) Cynthia (B) Kayla | A | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.008072027936577797,
1.0382999181747437,
-0.222799152135849,
-0.08322329819202423,
-0.4691365957260132,
-1.1367429494857788,
0.4850688576698303,
0.8389017581939697,
0.5534401535987854,
0.04278747737407684,
0.21244961023330688,
0.17492952942848206,
0.501644492149353,
-0.2684269845485687,
... |
Detailed Instructions: 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.
Problem:The Jenolan River, a perennial river that is part of the H... | The Jenolan River, a perennial river that is part of the HawkesburyNepean catchment, is located in the Central Tablelands region of New South Wales, Australia. | 8 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
0.8121412992477417,
0.36620885133743286,
-0.4873177409172058,
-0.5892549753189087,
-0.6238338351249695,
-0.34643620252609253,
0.2778182923793793,
0.6095699071884155,
-0.2419051229953766,
0.07623845338821411,
0.18791761994361877,
0.3310610353946686,
-0.7075645923614502,
-0.33491677045822144... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Q: In the second act, Victor's apartment is shown from a different angle, and the Krap home is still visible. For much of the act, that par... | Michael
****
| 4 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.10937867313623428,
0.6236816644668579,
0.04549241438508034,
0.4383803606033325,
0.328621506690979,
0.28140002489089966,
0.4732798933982849,
0.7822966575622559,
-0.037283699959516525,
0.2820450961589813,
-0.062424443662166595,
0.3292422890663147,
-1.109926462173462,
-0.21273112297058105,... |
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 orientation.
Input: C... | Output: Non-identity-attack
| 2 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.701470136642456,
0.8036316633224487,
0.32333266735076904,
0.3758099675178528,
-0.2978397011756897,
0.17376050353050232,
1.122499942779541,
0.21605242788791656,
0.1540689468383789,
0.6088504195213318,
0.002309083007276058,
0.05782110616564751,
-0.4866793155670166,
-0.6394093632698059,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Output: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di l... | Già. | 1 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.38373231887817383,
0.23839856684207916,
-0.3286091685295105,
-0.0549435093998909,
0.09707444906234741,
-0.3070578873157501,
0.28631705045700073,
1.300889492034912,
0.2983924150466919,
-0.1925528645515442,
-0.7245991230010986,
0.5308780670166016,
-0.0982990488409996,
-0.03634970635175705... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Silence can place us inside the head of a character or provoke thought. | O silêncio pode colocar-nos na mente de uma personagem ou provocar o pensamento. | 0 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.04101705551147461,
0.8541789054870605,
0.17969900369644165,
-0.3575170636177063,
-0.385926216840744,
-0.636040985584259,
0.24411647021770477,
0.33141306042671204,
1.1296279430389404,
-0.1313624083995819,
-0.23967839777469635,
-0.09581837058067322,
-1.1204969882965088,
-0.436003535985946... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: הכוח הפוליטי שלהם נמצא בעלייה, בעוד המולות מבודדים את עצמם, חוץ מקבוצה אחת של מולות, שלא כל כך מוכרת לאמריקאים.
A: ich polityczna siła przebicia rośnie, podczas gdy mułłowie się izolują — z wyjątkiem jednej grupy mułłów, ... | Przepuszczano przez nią prąd elektryczny, który porażał psy.
****
| 4 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-1.0466740131378174,
0.9806118011474609,
0.004820886068046093,
0.4021455943584442,
-0.5092600584030151,
-0.5083928108215332,
0.7397952675819397,
-0.02091028541326523,
0.45826858282089233,
-0.4443986415863037,
-0.6836903095245361,
0.38170191645622253,
-0.6315740942955017,
0.0132805956527590... |
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.
Example Input: Category: OSCAR WINNING ROLES
Clue: Elmer Gantry
Example Output: burt lancaste... | starry night of the living dead
| 3 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.07005715370178223,
0.4716547727584839,
-0.3715091347694397,
-0.3022509813308716,
-0.14008229970932007,
-0.44406795501708984,
0.5322830677032471,
0.010308737866580486,
0.47435036301612854,
-0.39765915274620056,
0.1314622163772583,
0.043525323271751404,
-0.7623780965805054,
-0.07226490974... |
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 have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
1 3/4 cups all purpose flour, 1/4 c... | rotini pasta, chicken broth, butter, milk, cheddar cheese, salt | 0 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.059497490525245667,
0.19375185668468475,
-0.3332929313182831,
0.8471336960792542,
-0.26066315174102783,
-0.42354458570480347,
0.7014768123626709,
0.9604982733726501,
-0.3034690320491791,
-0.1261109858751297,
-0.029284177348017693,
-0.19107110798358917,
-0.30251434445381165,
0.13488250970... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Example input: A mosquito stings me
I sting a mosqu... | first | 3 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.2504546046257019,
0.1721334606409073,
-0.2233344167470932,
-0.17970909178256989,
-0.173195019364357,
-0.6834520101547241,
0.22300143539905548,
0.5128039717674255,
-0.15008080005645752,
0.001394730876199901,
-0.6826767921447754,
-0.7873141765594482,
-0.5790277719497681,
-0.43715098500251... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Problem:I'm convinced that in 30 years, when we look back on today and on how we raise and slaughter billions of animals to make our hamburgers and our handbags, we'll see this as being wasteful and... | Estou convencido que daqui a 30 anos, quando pensarmos nos dias de hoje e em como criamos e abatemos milhares de milhões de animais para fazer os nossos hambúrgueres e as nossas malas, consideraremos isto um desperdício e verdadeiramente louco. | 8 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.7763735055923462,
0.5449107885360718,
0.16589409112930298,
0.4215000569820404,
-0.7704297304153442,
-0.8329916000366211,
-0.46798691153526306,
1.0058923959732056,
-0.24523161351680756,
-0.03984875977039337,
-0.09488683938980103,
0.9492311477661133,
-0.4558590054512024,
-0.40044769644737... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Q: પ્રધાનમંત્રી આવતીકાલે મનોરમા ન્યુઝ કોન્ક્લેવ 201ને સંબોધિત કરશે
A: | আগামীকাল মনোরমা নিউজ কনক্লেভে ভাষণ দেবেন প্রধানমন্ত্রী | 4 | NIv2 | task1068_pib_translation_gujarati_bengali | zs_opt | [
0.12380386888980865,
0.11744990944862366,
0.3121865391731262,
-0.8668465614318848,
-0.5302606821060181,
-0.9204545617103577,
-0.19549933075904846,
-0.5447957515716553,
-0.4281506836414337,
-0.27007901668548584,
-0.9418370723724365,
-0.04037065431475639,
-0.6179257035255432,
0.5978289842605... |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Genotypes with greater fitness produce more offspring and pass more cop... | more offspring | 1 | NIv2 | task1731_quartz_question_answering | zs_opt | [
-0.7170196771621704,
0.23914532363414764,
-0.594761073589325,
0.6794638633728027,
-0.507266640663147,
-0.12703466415405273,
0.07830801606178284,
1.2421808242797852,
-0.15705999732017517,
-0.8462421894073486,
-0.795007586479187,
0.27933165431022644,
-0.8547627925872803,
0.07466244697570801,... |
Detailed Instructions: 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, colors, sports, etc. Abbreviation questions ask about ... | Location | 8 | NIv2 | task1289_trec_classification | zs_opt | [
-0.04118945449590683,
-0.5823493003845215,
0.2047959715127945,
-0.23553834855556488,
-0.2918974757194519,
-0.5976399183273315,
0.21827763319015503,
0.08348433673381805,
0.08178922533988953,
0.03221910819411278,
-0.46924376487731934,
-0.10434132069349289,
-0.15971927344799042,
0.15312036871... |
Given the task definition and input, reply with output. Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the ans... | any other suggestions or tips? | 5 | NIv2 | task1437_doqa_cooking_question_generation | zs_opt | [
-1.0004403591156006,
0.6130387783050537,
0.24892854690551758,
-0.4112476706504822,
0.017879873514175415,
-0.5872393846511841,
-0.04966730624437332,
0.9405047297477722,
-0.29479074478149414,
0.5115392208099365,
-0.35683178901672363,
0.32688507437705994,
-0.7116897106170654,
-0.0528488233685... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
سم ، خوبي ، تو حالت خوبه .
Solution: sam . alright , youre alright .
Why? This is a good example. Th... | really you trying to give bandhu a hernia . | 0 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.12178859859704971,
0.20486730337142944,
-0.1604217290878296,
-0.6479071378707886,
-0.23426282405853271,
-0.30635759234428406,
0.6133773326873779,
0.12319418042898178,
0.37744882702827454,
-0.17599476873874664,
-0.2919451594352722,
0.9426419734954834,
-0.36160725355148315,
0.4266023039817... |
Teacher: "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 thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". In... | Response 2 | 2 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.3754771947860718,
0.44764021039009094,
0.38384389877319336,
-0.32774215936660767,
0.2324371635913849,
-0.8729355335235596,
0.21497474610805511,
0.826414942741394,
-0.15107235312461853,
-0.32262808084487915,
-0.5359882116317749,
0.2085077464580536,
-0.8887010812759399,
0.16164502501487732... |
You will be given a definition of a task first, then some input of the task.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the... | "Näyttää siltä kuin teillä kaikilla, hyvät herrat, olisi minun asiani paremmin selvillä kuin minulla itselläni." | 1 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.7527168393135071,
0.5877431035041809,
-0.0559919998049736,
0.010841088369488716,
0.30832189321517944,
-0.5769455432891846,
0.9155278205871582,
0.12367449700832367,
-0.10437733680009842,
-0.5198349952697754,
-0.06174183636903763,
1.0265910625457764,
-1.4552948474884033,
0.706854283809661... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: Consider Input: [0.78, 2... | Output: [-51, 99, -52, 39, -62]
| 2 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.5437184572219849,
0.3509528338909149,
-0.5674710273742676,
-0.26740092039108276,
-0.10615873336791992,
-0.008834903128445148,
0.6808218359947205,
0.38445132970809937,
0.07084152847528458,
-0.029319405555725098,
-0.804867148399353,
0.21274346113204956,
0.0034362836740911007,
-0.435052633... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Example input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account
Example output... | 1 | 3 | NIv2 | task838_cdt_classification | fs_opt | [
-1.2233399152755737,
1.0408002138137817,
0.5025804042816162,
0.4711763858795166,
-0.3274836838245392,
-0.6973822116851807,
0.5379537343978882,
-0.6701095104217529,
0.28292346000671387,
0.2892795205116272,
-0.6603095531463623,
-0.17129775881767273,
-0.25825515389442444,
-0.4803082346916199,... |
Teacher: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If th... | number | 2 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
1.3016517162322998,
0.34094077348709106,
-0.41017410159111023,
-0.31499117612838745,
0.4563169777393341,
-1.0589303970336914,
0.945070207118988,
0.7040988802909851,
0.2578399181365967,
-0.04528774321079254,
-0.2614932060241699,
0.06773656606674194,
-1.0397655963897705,
0.005344231147319078... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[EX Q]: آن طرف نیمچه خلیج، کاخهای سفید ایست اگ، تخم مرغ مد روز، در ساحل میدرخشیدند،
[EX A]: Across the courtesy bay the white palaces of fashionable East Egg glittered along the water,
[EX Q]: جما بسرعت، سر از روی کاغذ... | That first repulsion had been really a fear of her undiscovered self, and the fear had gone to sleep.
| 6 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.2657623291015625,
0.8053221106529236,
-0.27850043773651123,
-0.9800903797149658,
-0.42362725734710693,
-0.47146183252334595,
0.32364606857299805,
0.9032056927680969,
0.031548842787742615,
-0.1069195568561554,
-0.07424667477607727,
0.2762020230293274,
-0.5599955320358276,
-0.014457867480... |
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 quality or skills. Select Neutral if the document expresses no clear view tow... | Positive
| 3 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.37440234422683716,
-0.0896746814250946,
0.18344831466674805,
-0.19263529777526855,
0.4386850893497467,
-0.4048721194267273,
1.1498311758041382,
0.9555705189704895,
-0.438748300075531,
0.709204912185669,
0.02686305157840252,
0.5299025774002075,
0.0775773823261261,
-0.1596050262451172,
... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
[Q]: Sentence: 'dogs are running around while a man on a horse passes through'. Count the number of consonants in the given sentence.
[A]: 30
[Q]: Sentence: 'a li... | 21
| 5 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.16620349884033203,
0.20289629697799683,
-1.0516459941864014,
-0.3706163763999939,
-0.35241326689720154,
-0.2392086535692215,
-0.14648211002349854,
0.8634778261184692,
-0.11624785512685776,
-0.5255475044250488,
-0.8950785398483276,
0.33068838715553284,
-0.055280063301324844,
-0.3983159661... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose name english record fuzzily matches to alliance 90 the greens . take the votes 2011 record of this row . select the rows whose name english record fuzzily matches to free democratic party . take the votes 2011 record of this row . the first record is greater than the second record . | 4 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.0446917787194252,
-0.1805930882692337,
-0.21664172410964966,
0.04874318838119507,
-0.040204692631959915,
-0.4541458487510681,
0.6250519752502441,
0.4226600229740143,
-0.03633059933781624,
-0.05143599957227707,
-0.39624717831611633,
-0.12365363538265228,
0.09190812706947327,
0.48328942060... |
Detailed Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentenc... | No | 9 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.47979336977005005,
0.6528223752975464,
0.031253375113010406,
-0.12872755527496338,
-0.28646963834762573,
-0.8041031360626221,
0.6675521731376648,
0.420936644077301,
0.11302438378334045,
-0.3249659240245819,
-0.2910500168800354,
-0.5825552344322205,
0.02083069458603859,
0.401851087808609... |
In this task, given a sentence in English Tokens, your task is to convert it into the English language
--------
Question: FUSS Soledad GNU / Linux has multi-language support and uses the GNOME desktop environment .
Answer: FUSS Soledad GNU/Linux has multi-language support and uses the GNOME desktop environment.
Ques... | Elizabeth Wilmshurst, then Deputy Legal Adviser to the Foreign and Commonwealth Office, resigned in protest only days before the invasion.
| 7 | NIv2 | task547_alt_translation_entk_en | fs_opt | [
-0.1257171630859375,
0.013353516347706318,
-0.10598580539226532,
-0.33901917934417725,
-0.22131097316741943,
-1.0689771175384521,
0.6445885896682739,
0.08252228796482086,
0.7525744438171387,
0.38702359795570374,
0.502844512462616,
0.8143559098243713,
-0.6779888272285461,
0.1810240447521209... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Example Input: من به آن داده ها در سپتامبر نیاز داریم.
Example Output: Potrzebuję tych danych we wrześniu.
Example Input: من نمی دونم آیا این بیشتر شادی رو در بر داشت ، یا این یکی ، که وقتی کسی به گوگل می رفت با این ... | od medycyny, misji kosmicznych, CERN w Genewie - gdzie pracuję, fizyki molekularnej, inżynierii i nauk humanistycznych, wszystko z tego samego budżetu, 3.3 mld., ten mały żółty bąbel wokół pomarańczowego na górze po lewej.
| 3 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-1.2386161088943481,
0.6453934907913208,
-0.6159003973007202,
-0.1216416284441948,
-1.143276572227478,
0.0840015709400177,
0.6425769925117493,
0.23698845505714417,
0.1845395863056183,
-0.43596553802490234,
-0.5817065238952637,
0.5001037120819092,
0.08255261927843094,
0.06454530358314514,
... |
Given the task definition and input, reply with output. In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flip... | The bartender spilled the vermouth out of the tumbler and filled it with the vodka, as the _ would make the drink. | 5 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.8215599060058594,
0.28282853960990906,
0.2030094861984253,
-0.08978618681430817,
0.7135475873947144,
-0.5715764164924622,
0.5083576440811157,
1.0457968711853027,
-0.5119972825050354,
-0.2549290657043457,
-0.47917431592941284,
0.28151988983154297,
-0.5417165756225586,
-0.05486839637160301... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: Consider Input: Atopamos incluso planetas que orbitan dúas estrelas.
Output: ２つの恒星の周りを公転している惑星も発見されています
Input: Consider Input: Os antigos gregos dixéronnos que a Terra era o centro do universo.
Output: 古代ギリシャ... | Output: それは医療と呼ばれ ― 医師達が健康を改善する為のソリューションを処方することができるシステムです疾患の管理をするだけではありません
| 2 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.21532133221626282,
0.7135398983955383,
-0.5741729736328125,
-0.7028605341911316,
-0.4655924439430237,
-0.895930290222168,
0.21215173602104187,
-0.26486000418663025,
0.21256211400032043,
-0.7324295043945312,
-0.6158342361450195,
0.5072672963142395,
-0.4604845345020294,
0.1019926369190216... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Louis like(s) meatloaf >Motivates> Louis makes meatloaf | 9 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.7792243957519531,
0.26415884494781494,
-0.5551691651344299,
0.48811256885528564,
-0.02873266488313675,
-1.0015347003936768,
0.9452037811279297,
0.5590910911560059,
-0.920722246170044,
-0.516289234161377,
-0.6803276538848877,
0.13213154673576355,
-0.07667917758226395,
-0.0341658778488636,... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extract... | Abstractive | 5 | NIv2 | task462_qasper_classification | zs_opt | [
0.48041588068008423,
0.14633265137672424,
-0.425664484500885,
-0.08193853497505188,
0.3590942323207855,
-0.30183660984039307,
0.3772856295108795,
0.9855176210403442,
-0.22535954415798187,
0.292774498462677,
-0.4124664068222046,
-0.16404110193252563,
-1.4516363143920898,
-0.1042557656764984... |
TASK DEFINITION: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases ... | Harry makes some food >Causes> Harry feel(s) optimistic
| 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.10068634152412415,
0.7198243737220764,
0.09138789027929306,
-0.10815179347991943,
-0.34118157625198364,
-1.1159001588821411,
0.43475252389907837,
0.7035278081893921,
-0.3556091785430908,
-0.28076350688934326,
-0.6952084302902222,
0.3319433033466339,
-0.32801392674446106,
0.09771806001663... |
Given the task definition and input, reply with output. 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.
System Reference: what type of food would you like to eat?
... | 0 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-1.1736364364624023,
1.2048442363739014,
-0.018327757716178894,
0.3396828770637512,
-0.41284918785095215,
-0.48662787675857544,
1.068311333656311,
0.2815278172492981,
-0.3062700629234314,
-0.21636027097702026,
-0.5703984498977661,
-0.7201358079910278,
-0.713751494884491,
-0.137894868850708... |
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.
[EX Q]: How can I keep my toothbrush clean?
[EX A]: How do I keep my teeth clean?
[EX Q]: What is the price of iPhone 5C display?
[EX A]: What will be the pr... | Why did Fred not appear when Harry used the Resurrection Stone?
| 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.4559886157512665,
0.6624838709831238,
-0.5188592076301575,
-0.12612661719322205,
0.014401738531887531,
0.14333702623844147,
-0.19677351415157318,
0.48398882150650024,
-0.03647692874073982,
-0.008267251774668694,
0.04308160021901131,
0.26196396350860596,
-0.4823216199874878,
0.1812817901... |
You will be given a definition of a task first, then some input of the task.
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 equall... | Wanting a new car was all PersonX thought about as where a new home was all PersonY thought about, _ wants a new vehicle. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.5167487859725952,
0.5304466485977173,
0.36096063256263733,
0.2595946490764618,
0.2108611762523651,
0.11240164935588837,
0.6384012699127197,
0.6794619560241699,
-0.23486486077308655,
-0.8101774454116821,
-0.09662643074989319,
-0.33012181520462036,
-0.31293344497680664,
-0.3752634227275848... |
Detailed Instructions: 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.
See one example below:
Problem: Alphonse feels anxious... | joy | 4 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.32878556847572327,
0.3812524080276489,
0.4302161633968353,
-0.5228911638259888,
-0.2296857237815857,
-0.5613011121749878,
1.3903326988220215,
0.4206206202507019,
0.13323885202407837,
0.1438159942626953,
-0.5897892117500305,
-0.39697325229644775,
-0.404227614402771,
-0.002986744046211242... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Problem:Conseguiu pasar os meus filtros de correos lixo.
Solution: | وتمكنت من اختراق حاجز البريد غير المرغوب فيه. | 8 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.419318288564682,
-0.10000064969062805,
-0.07039205729961395,
-1.1627368927001953,
0.11956186592578888,
-0.554561197757721,
0.190100759267807,
-0.050468962639570236,
-0.3891083598136902,
0.03495965898036957,
-0.17683950066566467,
-0.23923718929290771,
-0.8806111812591553,
0.6272573471069... |
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. You ha... | Yes | 2 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.13632477819919586,
0.2007281631231308,
0.3253805637359619,
-0.4944233298301697,
-0.44854724407196045,
-0.8396749496459961,
1.4249051809310913,
-0.3434620499610901,
-0.6210008263587952,
-0.6986542344093323,
-0.23398052155971527,
-0.5399961471557617,
-0.8190364837646484,
0.7184185981750488... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
[EX Q]: તાજેતરમાં 1 ડિસેમ્બર, 2018નાં રોજ GSLV-F11ને સફળતાપૂર્વક લોંચ કરવાની સાથે જીએસએલવીએ 10 રાષ્ટ્રીય ઉપગ્રહો ભ્રમણકક્ષામાં સફળતાપૂર્વક ફરતા મૂક્યાં... | The widespread support can be clearly seen in the final numbers, 125:61 in RS and 370:70 in LS.
| 6 | NIv2 | task1080_pib_translation_gujarati_english | fs_opt | [
-1.4530960321426392,
-0.18173854053020477,
0.3386222720146179,
-0.40978753566741943,
0.42881903052330017,
-0.09420561790466309,
0.6428974270820618,
-0.007515668869018555,
-0.11466416716575623,
-0.3897397518157959,
-0.7051904201507568,
0.29366543889045715,
-0.4235537052154541,
0.18567976355... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
ஆயுஷ்மன் பாரத் திட்டத்தின்கீழ், தேசிய சுகாதார பாதுகாப்பு இயக்கத்தை ஒருங்கிணைத... | ਇਹ ਆਯੁਸ਼ਮਾਨ ਭਾਰਤ ਅਧੀਨ ਪ੍ਰਸਤਾਵਿਤ ਰਾਸ਼ਟਰੀ ਸਿਹਤ ਰੱਖਿਆ ਮਿਸ਼ਨ ਨਾਲ ਜੁੜੇਗਾ। | 1 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.6137383580207825,
0.7262572646141052,
-0.11557279527187347,
0.2199879139661789,
-0.18015916645526886,
-0.5008734464645386,
0.10808397829532623,
0.11901238560676575,
-0.2832089066505432,
0.8135255575180054,
-0.2711641192436218,
0.1372666358947754,
-0.571925699710846,
-0.01804128661751747,... |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
McCullum, who opened the bowling for NZ, took three... | クライトン氏は1942年にイリノイのシカゴで生まれ、ジェラシック・パークの小説で最も有名だ。
| 9 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.2918165624141693,
0.4997575581073761,
-0.09482407569885254,
-0.8645119071006775,
0.15037605166435242,
-0.49446427822113037,
0.07144483923912048,
-0.5372238159179688,
-0.04927053675055504,
-1.392293930053711,
-0.052755191922187805,
-0.04390418156981468,
-0.9661356210708618,
-0.4610414505... |
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