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 are given two lists A,B. Find the longest common subsequence in the lists A and B.
Part 2. Example
[5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Answer: 8297, b
Explanation: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8... | 9563, 6327, F, z, I, A, I, Z, 877, H, n, 8969, G, 2237, j, 355, 811, d, 3727, F, 9303, 8469, t, 6003, 9865, 3839, W, L, 3643 | 7 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
0.21070297062397003,
-0.06106756255030632,
-0.5541101098060608,
-0.6676895618438721,
-0.10492314398288727,
-0.40969595313072205,
0.12040308117866516,
0.8200163245201111,
-0.5475133657455444,
-0.13578058779239655,
-1.1607310771942139,
0.07336516678333282,
0.06718122214078903,
-0.00027786754... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
સરકાર દરેક વ્યક્તિને વર્ષ 2022 સુધીમાં એટલે કે આપણી આઝાદીને 5 વર્ષ પૂરાં થાય ત્યાં સુધીમાં આ... | ഇന്ത്യ അതിന്റെ സ്വാതന്ത്ര്യത്തിന്റെ 75-ാം വര്ഷം ആഘോഷിക്കുന്ന 2022 ഓടെ ഓരോ ഇന്ത്യാക്കാരനും വീട് ഉറപ്പുവരുത്തുക എന്നതിനാണ് ഗവണ്മെന്റ് യത്നിക്കുന്നതെന്ന് അദ്ദേഹം കൂട്ടിച്ചേര്ത്തു. | 5 | NIv2 | task1041_pib_translation_gujarati_malayalam | zs_opt | [
-0.6113344430923462,
0.8577935695648193,
0.2662836015224457,
-0.06471394002437592,
-0.24166861176490784,
-0.5396323800086975,
0.5888485908508301,
-0.1937548816204071,
-0.45661497116088867,
-0.10107980668544769,
-0.6606230735778809,
0.5203034281730652,
-1.143613338470459,
0.373390793800354,... |
Teacher: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several ... | Answer: (B) System | 2 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.2791967988014221,
0.6092966794967651,
-0.566373348236084,
-0.33841729164123535,
0.19829457998275757,
-0.9462108612060547,
0.2738863229751587,
0.772914707660675,
-0.05741158127784729,
-0.07494950294494629,
-0.0002609773073345423,
0.271526962518692,
-0.6073052883148193,
-0.0396755263209342... |
In this task, you will be presented with a question having multiple possible answers in Dutch language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: John kon niet lachen. Hij was niet verdrietig, hij had er de spieren niet meer voor. ... | B | 4 | NIv2 | task1133_xcsr_nl_commonsense_mc_classification | zs_opt | [
0.17075923085212708,
0.9343503713607788,
0.5440835952758789,
-0.7104452848434448,
-0.3214903473854065,
-0.3709762990474701,
0.36042115092277527,
0.30846118927001953,
0.6885223388671875,
-0.316763311624527,
-0.39431995153427124,
1.1932923793792725,
0.06326176226139069,
-0.023552602156996727... |
Detailed Instructions: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Problem:Every week I go to the store to stock up on groceries for my family. First, I make a plan for the meals I want to make during the week. The... | Why were they going shop? | 8 | NIv2 | task596_mocha_question_generation | zs_opt | [
0.16930018365383148,
0.5540046691894531,
-0.14135301113128662,
0.11922004818916321,
-0.0754130408167839,
-0.35293540358543396,
0.8311933279037476,
0.578981339931488,
-0.0073613692075014114,
0.13598862290382385,
0.18406179547309875,
-0.4389384090900421,
-1.0072081089019775,
0.27769365906715... |
Q: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its h... | nerve | 7 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.43971413373947144,
0.6929779052734375,
0.18897154927253723,
-0.08480386435985565,
-0.230326309800148,
0.09215699136257172,
-0.41454842686653137,
0.37487995624542236,
0.9924720525741577,
-1.2525346279144287,
-0.9025626182556152,
0.20840033888816833,
-0.28173381090164185,
0.28195142745971... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Най-вероятно ще намерите вход в сградата.
| 3 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.05768592283129692,
0.9508521556854248,
-0.059333380311727524,
-0.018821418285369873,
0.11106027662754059,
-0.4619719982147217,
0.8113236427307129,
1.3436579704284668,
0.29514050483703613,
-0.07282309234142303,
-0.49728280305862427,
0.803390383720398,
-0.6530237793922424,
0.06907474249601... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
[Q]: This case is great, just what I was looking for. It protects the iPad, as well as looks like a book. I was a little worried about the stand up feature as most cases have the triangular folding option. I... | GREAT CASE
| 5 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
0.42036545276641846,
-0.009436756372451782,
-0.4153071641921997,
-0.37280696630477905,
0.1449505239725113,
-0.0940743014216423,
0.8651423454284668,
0.51468825340271,
0.21315118670463562,
0.14848986268043518,
0.1296376734972,
0.4168567955493927,
-0.9179782867431641,
0.04674234241247177,
0... |
Instructions: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements ... | No | 3 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.01567906141281128,
-0.17848241329193115,
-0.48892587423324585,
0.28584256768226624,
-0.09117037802934647,
-0.4482322633266449,
0.9439213871955872,
0.6746642589569092,
-0.184484601020813,
-0.046414826065301895,
-0.4321977198123932,
0.36744630336761475,
-0.13319700956344604,
-0.38362115621... |
Given the task definition and input, reply with output. In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a... | spray adhesive onto one side of the plastic, place the sprayed side down on the fabric, press down firmly on the plastic to remove air bubbles, and allow to dry overnight. | 5 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.25157544016838074,
1.123326063156128,
-0.2956056594848633,
0.27150022983551025,
-0.5530182123184204,
0.0004721420118585229,
-0.48898637294769287,
-0.07470112293958664,
0.2848542034626007,
0.06857036799192429,
-0.845112681388855,
0.22516398131847382,
-0.20237821340560913,
0.0899227410554... |
You are given a statement written in Kannada. 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: <MASK>ದ ಉರುಲಿಸರು ಆಸ್ಟ್ರಲಾಯಿಡರ ಗುಂಪಿಗೂ ಛೋಟಾನಾಗಪುರದ ಬಿರ್ಹೋರರು ಕಾಕಸಾಯಿಡರ ಗುಂಪಿಗೂ ಸೇರಿದವರು. ಕೇರಳದ ಅಣ್ಣಾಮ... | ಕೇರಳ | 4 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
-0.04754636064171791,
0.9840217232704163,
-0.7275203466415405,
-0.5344951748847961,
-0.6349273324012756,
-0.08539370447397232,
0.213200181722641,
0.736085057258606,
-0.1005159318447113,
-0.35601627826690674,
-0.33289074897766113,
-0.3235642910003662,
-0.23814921081066132,
-0.00554515002295... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Q: Verify if the sentiment of the following document towards the entity Zakaryia Abdin is Neutral . On Monday... | yes | 4 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
1.0162718296051025,
-0.3098607361316681,
-0.5234724879264832,
0.02676459401845932,
0.2833648920059204,
-0.36429673433303833,
1.0052543878555298,
0.4545551836490631,
-0.13711285591125488,
0.5383669137954712,
-0.16282355785369873,
0.5968747138977051,
-0.8628066182136536,
0.0115668261423707,
... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Output: N
| 2 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
-0.04416464641690254,
0.7940434217453003,
-0.34294962882995605,
0.6655100584030151,
-0.0943201556801796,
0.05915089696645737,
0.1919448971748352,
0.3089728057384491,
0.7684907913208008,
-0.28054073452949524,
-0.9964609742164612,
0.6080226898193359,
-0.3935208022594452,
0.25453951954841614,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Example Input: يمكننا أن نتنبأ بالحادث و يمكننا أن نتنبأ من, أي سيارات هي في أفضل المواقع للابتعاد من الطريق للقيام بمعرفة الطريق الآمن للجميع
Example Output: Podemos prever o acidente e quem, que carros, estão na melhor p... | Não façamos isso.
| 3 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.1700856238603592,
0.5686153173446655,
0.3525012135505676,
-0.03956281393766403,
-0.5530089139938354,
-0.3685503602027893,
0.3124889135360718,
1.0698920488357544,
0.7322801351547241,
0.33129996061325073,
-1.2568548917770386,
0.663068950176239,
-0.6229248046875,
0.13615486025810242,
0.7... |
instruction:
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event... | Yes
| 9 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
1.1247913837432861,
-0.05468548834323883,
0.11951661854982376,
-0.03597390279173851,
-0.2456045150756836,
-1.0169973373413086,
1.2870392799377441,
0.9666340351104736,
-0.9362446665763855,
-0.24556267261505127,
-0.5561822652816772,
-0.1428528130054474,
-0.7715209126472473,
0.188359543681144... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to... | People are walking towards an active volcano, unaware that it is about to spew molten ash into the air | 2 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.021319391205906868,
0.16668252646923065,
0.15105244517326355,
-0.47378209233283997,
0.3373997211456299,
-0.8720940947532654,
-0.3252822160720825,
1.0302708148956299,
-0.05349975451827049,
-0.12361448258161545,
-0.615426778793335,
-0.17270077764987946,
-0.8787392377853394,
-1.001620531082... |
Definition: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Input: The miniseries was... | Paraphrase | 2 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-1.085402488708496,
0.368868887424469,
0.4585548937320709,
-0.38672029972076416,
-0.03225469961762428,
-0.05200863629579544,
0.8686270117759705,
-0.1845448613166809,
0.4604299068450928,
-0.5314841270446777,
-0.646999180316925,
0.20324784517288208,
-0.7394844889640808,
0.21962329745292664,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Q: "" O meu primeiro negócio era na área de roupas "" que comecei durante os Taliban.
A: كان مشروعي الاول هو تصميم الازياء كنت اعمل تحت حكم طالبان
****
Q: Mas o importante aqui é fornecer um pouco de evidências de qu... | في أسلوب التعرف البصري على الحروف التقليدية وخاصة التي يمكن استخدامها للمخطوطات المطبوعة ، أنها لا تعمل جيدا في وثيقة مكتوبة بخط اليد.
****
| 4 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.15485405921936035,
0.7412735223770142,
-0.4385712146759033,
-0.35539931058883667,
-0.41477346420288086,
0.42653775215148926,
0.7409515380859375,
0.8268789052963257,
0.5964493751525879,
-0.062271833419799805,
-0.41786909103393555,
-0.1322985738515854,
-0.47543659806251526,
-0.08253696560... |
Q: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatu... | mero | 7 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.33859363198280334,
0.18516752123832703,
0.4633513391017914,
-0.14508652687072754,
-0.989568293094635,
0.2771698534488678,
-0.14789587259292603,
0.3114703893661499,
0.41013720631599426,
-0.9912755489349365,
-0.21741607785224915,
0.06154125928878784,
-0.7636967897415161,
0.3605995178222656... |
Detailed Instructions: In this task, you are given a question in English, and your task is to translate it into Persian.
Problem:What does 'everything you love is well-arranged dust' mean?
Solution: | معنی "everything you love is well-arranged dust" چیست؟ | 8 | NIv2 | task652_parsinlu_en_fa_translation | zs_opt | [
-0.014832736924290657,
0.6452029943466187,
-0.11984676122665405,
-0.25762730836868286,
-0.3562501072883606,
-0.5180723667144775,
0.20775958895683289,
0.3480686545372009,
0.24853107333183289,
0.7206506729125977,
-0.15602335333824158,
0.3803313672542572,
-0.2924952208995819,
0.29562175273895... |
You will be given a definition of a task first, then some input of the task.
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet i... | black cock | 1 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.7840250134468079,
0.39137786626815796,
0.4487855136394501,
0.3806186020374298,
-0.22936376929283142,
-0.8315904140472412,
-0.06068667396903038,
0.3579965829849243,
-0.0038751019164919853,
0.2702915668487549,
-0.3894975185394287,
-0.33519601821899414,
-0.18631993234157562,
-0.85430979728... |
Detailed Instructions: Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct ans... | saving money. | 8 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.7914678454399109,
1.293691635131836,
-0.2394496500492096,
0.2488694190979004,
-0.21398481726646423,
-1.9662885665893555,
0.24222338199615479,
0.6728784441947937,
-0.05346637964248657,
-0.2518877387046814,
-0.8692600727081299,
-0.06634978950023651,
-0.3227156698703766,
0.13059057295322418... |
Detailed Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Problem:Sentence1: 'the pair of kids in the green meadows fly a colorful kite', Sentence2: 'a man riding down the side of a skateboard ramp'. Is the frequency of the word 'the' in two se... | No | 8 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.6216177940368652,
0.6386558413505554,
-0.5046672821044922,
-0.2023172229528427,
0.006459283642470837,
-0.4514755606651306,
0.2677987217903137,
1.1937255859375,
-0.12687832117080688,
0.07327035069465637,
-1.0478417873382568,
0.20452764630317688,
-0.28905388712882996,
-0.00828902050852775... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example input: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program... | yes | 3 | NIv2 | task1587_scifact_classification | fs_opt | [
0.5352038741111755,
0.2155538648366928,
-0.8459184765815735,
0.679797351360321,
1.3635592460632324,
-0.3492819666862488,
0.13867157697677612,
0.7874562740325928,
-0.18446296453475952,
0.2794845700263977,
-0.2897103428840637,
0.44928252696990967,
-0.7920045852661133,
0.04133293405175209,
... |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
ダニエル・マロイ州知事は水曜日に廃止を法律に盛り込むと署名し、これにより即効力発生となる。
answer:
ຜູ້ວ່າການປົກຄອງລັດ ທ່ານ ແດນຽວ ມາລອຍ ເຊັນການຍົກເລີກລົງໃນກົດໝາຍ ໃນວັນພຸດ ແລະ... | ລາວໄດ້ເວົ້າວ່າ ໂບດຂອງວິທະຍາສາດ ບໍ່ໄດ້ໃຫ້ຄຳແນະນຳທາງການແພດ ແຕ່ມັນໃຫ້ຄວາມກ້າຕໍ່ປະຊາຊົນ ເພື່ອແນ່ໃສ່ຜົນຂ້າງຄຽງຂອງການໃຊ້ຢາ ແລະ ໄດ້ຕຳໜິ "ການໃຊ້ຢາເກີນຂະໜາດ" ຂອງຄວາມອົດທົນທາງຈິດ.
| 9 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.6197088360786438,
-0.1705465018749237,
0.07901383936405182,
-1.0130889415740967,
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0.8647347092628479,
1.2312347888946533,
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-1.0531269311904907,
0.6584859490394592,
-0.5589296817779541,
0.276293277740478... |
Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of ... | Valid | 3 | NIv2 | task149_afs_argument_quality_death_penalty | zs_opt | [
0.20449717342853546,
0.6653822660446167,
0.6725988984107971,
-0.12137138098478317,
-0.46040236949920654,
-1.9402718544006348,
0.5767479538917542,
0.6136656999588013,
0.0981442779302597,
0.5409131646156311,
-0.5175207853317261,
-0.5246162414550781,
-0.8181681632995605,
0.39761990308761597,
... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
One... | sadness | 6 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.4028613567352295,
0.04673589766025543,
-0.254509299993515,
-0.3004211485385895,
-0.5217064619064331,
-0.0739128515124321,
0.6392428278923035,
0.977543830871582,
0.18409007787704468,
-0.017995884642004967,
-0.7283202409744263,
0.0724930539727211,
0.11486055701971054,
0.3953794240951538,
... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Let me give you an example: Post: @Darkeph E... | Generic | 8 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-0.48601025342941284,
0.3095061182975769,
0.4680701494216919,
0.5531206130981445,
-0.5282435417175293,
-0.10960093140602112,
0.0423048660159111,
0.8635063171386719,
0.030201271176338196,
0.30445876717567444,
0.33256852626800537,
0.4133504629135132,
-0.5715754628181458,
-0.662988543510437,
... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasona... | Врачи скачали урожай книг. | 9 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.1571168154478073,
0.3804031014442444,
0.09841936826705933,
-0.9200558662414551,
-0.32899513840675354,
0.11111258715391159,
1.1755664348602295,
0.7736831307411194,
0.7722118496894836,
-0.45573389530181885,
-1.1729214191436768,
-0.008157557807862759,
-0.7692846059799194,
0.6996811032295227... |
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... | Solution: Yes | 5 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.4329568147659302,
0.4448503255844116,
-0.10685387253761292,
-0.24394436180591583,
-0.682191014289856,
-0.5974944233894348,
1.014282464981079,
0.7716631293296814,
-0.5871832966804504,
-0.574313759803772,
-0.8962070941925049,
-0.03624222055077553,
-0.633320689201355,
-0.0225155558437109,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for ... | no | 1 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.21718814969062805,
0.022753966972231865,
-0.27820608019828796,
0.6625556945800781,
0.4322909712791443,
-0.5338537693023682,
-0.11957757920026779,
0.74434494972229,
0.03723686933517456,
0.16619333624839783,
-0.31152039766311646,
0.4187759757041931,
0.15078091621398926,
0.6333045959472656... |
Instructions: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Input: [header] How to say thank you to gifts at your birthday party [title] Open you... | D | 3 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.546303927898407,
0.9168041944503784,
-0.333780437707901,
-0.03538927435874939,
-0.36646318435668945,
-1.0927075147628784,
1.1373088359832764,
0.04611621052026749,
0.2176169753074646,
-0.2688358724117279,
0.12180215120315552,
0.15824458003044128,
-0.19586515426635742,
-0.00619612541049718... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
[EX Q]: خُب هیچ وسیله ای قبلا نمیتونسته یه همچین کاری رو انجام بده
[EX A]: Nenhum outro aparelho tem sido capaz de fazer isto.
[EX Q]: من کنار سنگرها ، در خیابان هروشفسکی یک استودیوی موقت عکاسی پرتره راه انداختم.
[EX A]: ... | O império do Irão, os medos e os persas, unidos sob Ciro, tornou-se o primeiro grande império mundial.
| 6 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
0.15671059489250183,
1.2076530456542969,
-0.22589640319347382,
-0.15674848854541779,
-0.21140187978744507,
-0.20905473828315735,
-0.4497224688529968,
1.4709281921386719,
0.39623576402664185,
0.016280552372336388,
-1.12766432762146,
-0.07309689372777939,
0.3138886094093323,
0.24848598241806... |
Given the task definition, example input & output, solve the new input case.
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., Person... | No | 1 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.19718649983406067,
0.06399035453796387,
0.3244331181049347,
0.17364689707756042,
-0.23243726789951324,
-0.7962151765823364,
0.9346784353256226,
1.0413594245910645,
-0.6382790803909302,
-0.2045397013425827,
-0.3782687187194824,
-0.3097081482410431,
-0.8390195965766907,
0.04577922075986862... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two langu... | Hindi | 1 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.6984593868255615,
0.4364103674888611,
1.1926984786987305,
-0.03472544252872467,
0.009483176283538342,
-0.08237390965223312,
-0.012794313952326775,
0.7239426970481873,
-0.15402701497077942,
-0.270128071308136,
0.011045432649552822,
0.0328587144613266,
0.04841819033026695,
-0.609758973121... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Let me give you an example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
The answer to this example can be: خوب ، من چیزی ن... | این لحظه ی بزرگ پیروزی ما بود. | 8 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.14784839749336243,
0.6013265252113342,
-0.24214623868465424,
0.11766208708286285,
-0.5482608079910278,
-0.29868948459625244,
0.36156216263771057,
0.4632379710674286,
-0.275690495967865,
-0.25727689266204834,
-0.2067539393901825,
0.6152817606925964,
-0.3028428554534912,
-0.29936769604682... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Ex Input:
Nós precisamos dos ecrãs, claro.
Ex Output:
البته به صفات نیاز داریم.
Ex Input:
De facto, é algo que escrevemos nós mesmos.
Ex Output:
در حقیقت ، این الگوریتم را خود ما می نویسیم.
Ex Input:
Os cientista... | و دانشمندان چنین اکوسیستم هایی را "" اکوسیستم های نوین "" نامیده اند ، چرا که در آنها اغلب گونه های غیر بومی غالب هستند ، و همچنین به این دلیل که بسیار عجیب اند.
| 1 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.874474048614502,
0.16684359312057495,
-0.2798886001110077,
0.26524022221565247,
-0.8674309253692627,
-0.2686096429824829,
-0.028416616842150688,
-0.08589021861553192,
0.6892755031585693,
-0.14428699016571045,
-1.0766953229904175,
0.48778387904167175,
-0.19504214823246002,
0.219901800155... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
[Q]: و دلیل این که مسئله این همه مرا به خود مشغول کرده بود این بود که فکر می کردم آن را می فهمم ، در حالی که وقتی مرورش کردم متوجه شدم که اصلا چیزی از آن سردرنیاورده ام.
[A]: A historia obsesionábame porque eu cría qu... | Ollei as súas mans namentres bañaba a unha anciá.
| 5 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.016285695135593414,
0.8669837117195129,
-0.4125517010688782,
-0.7575021982192993,
-0.5754702091217041,
-0.16642674803733826,
0.4491020739078522,
0.14521753787994385,
-0.19681456685066223,
0.2873925268650055,
-0.3131905794143677,
0.5049622058868408,
-0.36203742027282715,
0.56533062458038... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Q: Cleaning my coffee wear with decanter balls is so therapeutic. #sparkling
A: | Not happy | 9 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.092345952987671,
0.4041033983230591,
0.05707418918609619,
0.0028827793430536985,
0.16703537106513977,
-0.448803186416626,
0.6293917894363403,
-0.35752493143081665,
0.679552435874939,
0.16919463872909546,
-0.18954938650131226,
0.15666528046131134,
-0.25957611203193665,
-0.047649912536144... |
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.
Q: Comment: What's ridiculous is women claiming to have any understandin... | Insult | 9 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-1.2095353603363037,
1.0975005626678467,
0.5820508599281311,
-0.4786890745162964,
0.02843109518289566,
-0.16160449385643005,
0.8085692524909973,
0.4159807562828064,
0.9196955561637878,
0.06978082656860352,
-0.47912001609802246,
-0.11835446208715439,
-0.6190826892852783,
-0.5126837491989136... |
Detailed Instructions: 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.
Q: استان مرکزی از استانهای ایران است. بزرگترین شهر و مرکز استان مرکزی شهر اراک است. این استان به عنوان پایتخت صنعتی ایران شناخته میشود. در ... | استانهای البرز و قزوین | 9 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.34941309690475464,
0.37721794843673706,
-0.28528892993927,
0.1770222783088684,
0.03718171268701553,
0.08258424699306488,
0.8454111814498901,
0.5497572422027588,
0.3419356048107147,
-0.13557623326778412,
-0.20641855895519257,
1.151898741722107,
-0.43310660123825073,
-0.02010268345475197,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example input: Comment: Enough already. Cut the... | Non-threat | 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.37008050084114075,
0.33320945501327515,
0.3921617269515991,
0.6484740376472473,
-0.2479296773672104,
-0.8308096528053284,
0.4130294919013977,
1.1305912733078003,
-0.2857365012168884,
0.4090384840965271,
0.25724029541015625,
-0.07403209805488586,
-0.8319838047027588,
-0.46376872062683105... |
Teacher: In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Ulwakhiwo neempawu zentsinga zemifuno.
Solution: Con... | The flap and choke mechanism can also be checked but it usually gives no trouble. | 2 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.20338265597820282,
0.2515241503715515,
0.17981889843940735,
-0.5341160297393799,
-0.08138664066791534,
-1.0554808378219604,
0.9489613771438599,
0.49616771936416626,
-0.2321394383907318,
0.24667534232139587,
-0.09560155868530273,
-0.41934990882873535,
-0.45175376534461975,
-0.36048585176... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Example: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Example solution: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Example ... | Solution: Sufrí un incendio hace nueve días. | 5 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.4249614477157593,
0.5462389588356018,
-0.2742742598056793,
-0.6451019644737244,
-0.8747323155403137,
-0.07849588990211487,
-0.1037876158952713,
0.311607301235199,
-0.33382129669189453,
-0.5458424091339111,
-0.1047111228108406,
-0.1777365505695343,
-1.4531497955322266,
-0.280715584754943... |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | true | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.0421967506408691,
0.4884960949420929,
0.6081492900848389,
0.713341474533081,
-0.10035168379545212,
-0.968360185623169,
-0.09896375238895416,
1.0263824462890625,
0.41350656747817993,
0.21859528124332428,
0.08728132396936417,
-0.34734731912612915,
-0.5078023076057434,
-0.5358263850212097,... |
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 | [
0.144647479057312,
0.30569782853126526,
0.2520258128643036,
-0.48781532049179077,
-0.4091419577598572,
-0.6578971147537231,
1.3139842748641968,
0.045095816254615784,
-0.3927130103111267,
-0.7562950849533081,
-0.4718972444534302,
-0.4591200351715088,
-0.7436075806617737,
0.464648962020874,
... |
instruction:
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
question:
I ... | asking my friend to stop sharing one of her favorite stories
| 9 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.2294713854789734,
-0.4938843846321106,
-0.3928133249282837,
-0.2660643458366394,
0.597074568271637,
0.2728029489517212,
0.8744726181030273,
1.1062322854995728,
0.21717305481433868,
-0.4499054551124573,
0.5259010791778564,
0.513037919998169,
-0.5607010126113892,
0.3222373127937317,
-0.4... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: 90 g butter (don't use margarine), 1/3 cup brown sugar, 1/4 cup golden syrup, 1/2 cup orgr... | butter, brown sugar, golden syrup, orgran, ground ginger | 6 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.4913023114204407,
0.33315157890319824,
0.4617270231246948,
-0.24717554450035095,
-0.2751927971839905,
-0.7686967849731445,
0.5266730785369873,
0.6228201389312744,
-0.18731887638568878,
-0.10312177985906601,
-0.18180498480796814,
-0.1530078649520874,
-0.7067152857780457,
-0.6817052364349... |
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | LS
****
| 4 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.2351904958486557,
0.2202053815126419,
-0.12039071321487427,
0.3535516858100891,
0.2006455957889557,
-0.7241542935371399,
0.737992525100708,
0.9545348882675171,
-0.7181448936462402,
-0.28702405095100403,
-0.08937103301286697,
0.20016586780548096,
-0.588945746421814,
-0.11154946684837341,
... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[1, -41, 5, -41, -39], [-16, -2]]
A: | [-327795, 32] | 4 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.13863727450370789,
0.2710624039173126,
-0.7991740703582764,
-0.5061736702919006,
0.08364705741405487,
-0.005690593738108873,
1.5491678714752197,
-0.020094621926546097,
-0.11432800441980362,
-0.5270743370056152,
-0.7950222492218018,
0.286670058965683,
-0.6301459074020386,
0.0487119704484... |
Given the task definition, example input & output, solve the new input case.
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: ہاؤسنگ اور شہری امور کی وزارت کے سکریٹری جناب درگا شنکر مشرا کی قیادت میں ... | अधिनियम 12 मई, 2017 को पारित | 1 | NIv2 | task1054_pib_translation_urdu_hindi | fs_opt | [
-0.06563370674848557,
0.20052790641784668,
-0.34192389249801636,
-0.007520467042922974,
0.19803914427757263,
0.20580652356147766,
0.3305889368057251,
0.5487484931945801,
-0.04520219936966896,
-0.25583308935165405,
-0.23951563239097595,
0.43888500332832336,
0.048570722341537476,
0.383985161... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Example: ويوجد أساسا مرجل دوار.
Output: É basicamente un caldeiro que rota.
The Arabic sentence is correctly translated into Galician, because the ... | Lémbrome de que as miñas enfermeiras queixábanse de ter que conducir así, | 1 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.5314719080924988,
0.14390107989311218,
-0.08705271780490875,
-0.4212104082107544,
-0.1372196525335312,
0.047666002064943314,
0.7597553730010986,
0.05333615839481354,
0.025201689451932907,
-0.23867836594581604,
-0.5857688188552856,
-0.2976137101650238,
-0.45352792739868164,
0.41813755035... |
instruction:
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.
question:
Sentence 1: The Mus??e Camargais at Albaron gives a glim... | yes
| 9 | NIv2 | task199_mnli_classification | fs_opt | [
0.3978869915008545,
0.21718591451644897,
-0.5204923748970032,
0.06757456064224243,
0.7648937702178955,
-0.6893815398216248,
0.05257561430335045,
0.33408957719802856,
0.08458817005157471,
0.6615045070648193,
0.1853116750717163,
-0.46634721755981445,
-0.5265284776687622,
-0.27406999468803406... |
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable... | Anh phải có đầu óc khôn ngoan trong văn phòng nha sĩ. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.14208920300006866,
0.40713047981262207,
-0.059775084257125854,
-0.11160522699356079,
0.04456755891442299,
-0.4277949333190918,
-0.11801017820835114,
1.3368877172470093,
0.06669555604457855,
0.0925578624010086,
-0.7019292712211609,
0.1710198074579239,
0.09507773816585541,
-0.085212670266... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Input: Pros: - Extremely fragrant - Full bodied - Can be steeped twice - Nice air-tight container ... | Best Earl Grey ever | 3 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.29265332221984863,
-0.13116954267024994,
0.26966890692710876,
-0.43136847019195557,
0.2970971465110779,
-0.42303702235221863,
0.44041502475738525,
0.5065924525260925,
-0.046992942690849304,
1.063570261001587,
0.35428017377853394,
-0.15002574026584625,
-0.7224494814872742,
0.060966148972... |
Given a sentence in the Japanese and Thai 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".
One example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Thai: รายละเอียดถูกเปิดเผยโดยเลขาธิกา... | No | 6 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.6912301778793335,
-0.6480607986450195,
-0.07200752198696136,
0.13117273151874542,
0.24719728529453278,
-0.9329559803009033,
0.287212610244751,
0.2340785264968872,
-0.6382968425750732,
0.014947796240448952,
0.27806615829467773,
0.7986708283424377,
0.23861199617385864,
0.7923722863197327,... |
Q: 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 expected to output... | Text two | 7 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.7914550304412842,
0.5132808685302734,
0.22906282544136047,
-0.7263916730880737,
-0.21109220385551453,
-1.0233659744262695,
0.21066999435424805,
0.6803948879241943,
0.5216500759124756,
-0.007312720641493797,
-0.2521202564239502,
0.00340911652892828,
-0.4377981424331665,
0.286911725997924... |
Indicate with `Yes` if the given question involves the provided reasoning `Category`. Indicate with `No`, otherwise. We define five categories of temporal reasoning. First: "event duration" which is defined as the understanding of how long events last. For example, "brushing teeth", usually takes few minutes. Second: "... | Yes.
| 6 | NIv2 | task019_mctaco_temporal_reasoning_category | fs_opt | [
0.32232666015625,
0.18594248592853546,
0.38799816370010376,
0.6632726192474365,
-0.11735132336616516,
-0.6895776987075806,
0.0278608538210392,
1.0281740427017212,
-0.07974708825349808,
0.3974786400794983,
0.29634809494018555,
0.082117959856987,
-0.617925226688385,
0.15963271260261536,
0.... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: ഓരോ ജില്ലയില്നിന്നും ഉള്ള മൂല്യവര്ധിത ഉല്പന്നങ്ങള് ആഗോള വിപണികളില് എത്തണം.
A: | प्रत्येक जिल्ह्यातून मूल्यवर्धित माल जागतिक बाजारात पोहोचला पाहिजे. | 4 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
0.16560086607933044,
1.2958935499191284,
0.7283910512924194,
-0.4142654836177826,
-0.5347884893417358,
-0.6180592775344849,
-0.26559025049209595,
0.5483392477035522,
-0.8389319181442261,
-0.7218685746192932,
-0.3594723343849182,
-0.028406333178281784,
-0.40973931550979614,
0.35694062709808... |
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
| 7 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.24983254075050354,
0.8386685252189636,
0.1937745064496994,
0.10133463144302368,
-0.7866938710212708,
-1.0612231492996216,
1.2410452365875244,
0.567272424697876,
-0.41793662309646606,
-0.5869901776313782,
-0.5365608930587769,
-0.46306324005126953,
-0.6271634101867676,
0.17789141833782196,... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
question:
אז דתות הן תרבויות הדוגלות בשינון.
answer:
Portanto, as religiões são culturas de repetição.
question:
אנחנו רק צריכים להתמיד. "" עכשיו ארבעה מפקדי ISAF מאוחר יותר, אנחנו שומעים מסר אחר: "" אי אפשר ... | Pensámos que os filmes, cujas histórias são um ponto de encontro entre drama, música, literatura e experiência humana, iriam atrair e inspirar os jovens que participassem no FILMCLUB.
| 9 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-0.9988049268722534,
0.38897836208343506,
0.32821834087371826,
-0.37364715337753296,
-0.4477121829986572,
-0.05626748874783516,
0.695762574672699,
-0.13906298577785492,
-0.049580059945583344,
-0.5235871076583862,
-0.5926713943481445,
-0.22673887014389038,
-0.9287170171737671,
0.14457033574... |
Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. ... | holding that the military judge has considerable discretion to exclude relevant evidence under military rule of evidence 403 | 2 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.16774140298366547,
0.13546623289585114,
-0.24126237630844116,
0.47147777676582336,
-0.12780189514160156,
-1.126647710800171,
-0.7413368225097656,
1.0888991355895996,
-0.0713714063167572,
0.10984526574611664,
-0.40572646260261536,
0.43333959579467773,
-0.09636174887418747,
-0.225065007805... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Part 2. Example
Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Answe... | O facto é que isto não é o Google. | 7 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.46724891662597656,
0.6133148074150085,
0.3189602494239807,
-0.26684069633483887,
0.06673730909824371,
-0.45962244272232056,
-0.6348506212234497,
1.2619352340698242,
-0.37543922662734985,
0.40902695059776306,
-0.6237895488739014,
0.186603382229805,
-0.2576391100883484,
-0.555195987224578... |
Detailed Instructions: 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 information can be introduced. Av... | The man in the red shorts is a champion kickboxer. | 4 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
0.11332616209983826,
0.5039018392562866,
0.18784159421920776,
-0.6698145866394043,
-0.009790921583771706,
-0.7174206972122192,
0.025582516565918922,
1.043865442276001,
0.25935548543930054,
-0.25701460242271423,
-0.9137070178985596,
-0.31687474250793457,
-0.7267699241638184,
-0.508737683296... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example solution: a, 34, f, 931, 7
Example expla... | Solution: g, N, 6869, 13, H, 7113, 7949, J, 513 | 5 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.5200424194335938,
0.024292804300785065,
-0.13575007021427155,
-0.6446533203125,
-0.14217409491539001,
-0.18858902156352997,
0.5760427117347717,
0.05268828570842743,
-0.2746577262878418,
-0.12313514947891235,
-1.022308349609375,
0.03090907819569111,
0.3190712034702301,
-0.3459737300872803... |
Detailed Instructions: 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".
Problem:Everyone seems to enjoy these so I think maybe I'm missing something. I microwaved them for slig... | False | 8 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
0.20649680495262146,
-0.3885468542575836,
0.0038269050419330597,
-0.30553415417671204,
-0.030914703384041786,
-0.09245999902486801,
1.1933894157409668,
-0.17681659758090973,
0.1687658280134201,
-0.10604265332221985,
0.12657414376735687,
-0.27395862340927124,
-0.779162585735321,
-0.28001230... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Input: Consider Input: with which could you tell the exact size of an object? (A) a plain stick with irregular shape (B) a plastic tape with graduated markings (C) ... | Output: D
| 2 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.17358750104904175,
0.4041370153427124,
-0.6887984275817871,
0.18353796005249023,
-0.7988897562026978,
-0.20731616020202637,
0.3822322189807892,
0.03454354777932167,
0.04659171774983406,
0.15217646956443787,
-0.2184952050447464,
-0.26257386803627014,
0.2731708884239197,
-0.38806051015853... |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Q: Sentence1: Is too high a dose of birth contr... | Dissimilar | 4 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.7436841130256653,
0.2240406721830368,
-0.4761551320552826,
-0.10046255588531494,
-0.2491428405046463,
-0.5214786529541016,
0.8860350251197815,
0.2325674593448639,
0.32218849658966064,
0.35102027654647827,
-1.169175624847412,
0.25378137826919556,
-0.41098129749298096,
0.0936078429222107,... |
You will be given a definition of a task first, then some input of the task.
Given Sentence 1 and Sentence 2, indicate your answer as yes when the two sentences clearly agree or clearly disagree with each other. If the relationship cannot be determined, answer with 'no'.
A person attempts to rope a black cow while rid... | no | 1 | NIv2 | task642_esnli_classification | zs_opt | [
0.03037753887474537,
0.4107360541820526,
0.6935259103775024,
0.3407108187675476,
-0.4911041855812073,
-0.22806212306022644,
0.7044339776039124,
1.270766019821167,
0.1349647343158722,
0.061115629971027374,
-0.4935396909713745,
-0.45232445001602173,
-0.17945672571659088,
-0.19656962156295776... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that the plaintiff must show that there was a lack of probable cause for the criminal prosecution
| 5 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.13473209738731384,
0.6887232065200806,
-0.12932796776294708,
0.16173763573169708,
0.6176785826683044,
-1.248961329460144,
0.12989486753940582,
1.188997507095337,
-0.488069087266922,
-0.04922134801745415,
-0.5228396654129028,
0.543082594871521,
-0.4073263704776764,
-0.01349097490310669,
... |
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... | Yes | 8 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.3887079358100891,
0.5877259969711304,
0.029938003048300743,
-0.030705682933330536,
-0.2728109359741211,
-0.9725984334945679,
1.430704116821289,
0.18169090151786804,
-0.7848725914955139,
-0.409778356552124,
-0.3087525963783264,
-0.8477274179458618,
-0.616425096988678,
0.17116418480873108,... |
TASK DEFINITION: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the d... | no
| 8 | NIv2 | task211_logic2text_classification | fs_opt | [
0.15221133828163147,
-0.3394258916378021,
-0.3241233825683594,
0.4074828028678894,
0.5723141431808472,
-0.6234506964683533,
0.37083855271339417,
0.7581177353858948,
0.05053645372390747,
0.022014757618308067,
-0.23766618967056274,
0.13158008456230164,
0.14112864434719086,
0.461294949054718,... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Example Input: Given Relationship: 'win', Sentence: 'Noting if Senator Barack Obama is successful in winning the U.S. Presidency and Democrats are able to increa... | city
| 3 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.575000524520874,
1.2998120784759521,
-0.15208740532398224,
0.033216334879398346,
-0.6495858430862427,
0.1571003496646881,
0.7829775810241699,
0.8970935344696045,
0.8596402406692505,
-0.1978631317615509,
-0.8125289678573608,
1.161791443824768,
-0.37463951110839844,
-0.3794923424720764,
... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 0 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.21229904890060425,
0.6680761575698853,
-0.40696990489959717,
0.14371560513973236,
0.012879366055130959,
-0.2183428406715393,
0.2270253300666809,
-0.02337285317480564,
-0.1479029655456543,
-0.18712174892425537,
-0.6987202167510986,
-0.45874202251434326,
-0.7439746856689453,
-0.12833069264... |
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.
جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Soluti... | Some committee | 0 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.7982038259506226,
0.08711502701044083,
-0.02016361989080906,
-0.10552938282489777,
-0.34823745489120483,
-0.7809020280838013,
0.9137171506881714,
-0.10171444714069366,
0.31314176321029663,
-0.3793419897556305,
-0.2700676918029785,
0.3726673126220703,
-0.12012407183647156,
0.903319358825... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Problem:How were negotiations influenced when dealing with the governors?, Context: On September 21, 1953, Thomas Watson, Jr., the company's president at the time, sent out a ... | He also publicized the policy | 8 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.236668199300766,
0.1793959140777588,
0.09729503095149994,
-0.033872514963150024,
-0.0882984921336174,
-0.10351897031068802,
-0.1976975053548813,
0.46291083097457886,
0.5256099700927734,
0.6169105172157288,
0.23047876358032227,
0.3534010350704193,
-0.009162926115095615,
-0.36387157440185... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Female snakes incubate eggs i... | four | 0 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.6561561226844788,
0.49482107162475586,
-0.08901229500770569,
-0.1568063348531723,
0.1576250195503235,
0.10686764121055603,
0.5419137477874756,
0.5960472822189331,
-0.40171846747398376,
0.03819410502910614,
0.9055028557777405,
0.48700231313705444,
-1.1373449563980103,
-0.0314529091119766... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['4993', 'F', 'R', 'l', 'C']
A: | 4993 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.5247342586517334,
1.0526294708251953,
-0.419528067111969,
-0.6683237552642822,
-0.5492868423461914,
0.39655229449272156,
0.8162865042686462,
-0.5997351408004761,
-0.1705378293991089,
0.23556971549987793,
-0.5580072402954102,
-0.4161183834075928,
0.09391579031944275,
0.48600849509239197,
... |
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: x is a high-end restaurant located on the riverside close to x it is near x.
Original Refere... | 0
| 5 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.6693217754364014,
0.6949074268341064,
-0.5938312411308289,
-0.3443945050239563,
-0.8513349294662476,
-0.15769657492637634,
0.7458105087280273,
0.7449512481689453,
-0.22938162088394165,
-0.3236551880836487,
-0.3508009612560272,
-0.2918860912322998,
-0.32400786876678467,
-0.11658835411071... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. 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,... | fiction | 1 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.8177531361579895,
0.4020735025405884,
0.1891036331653595,
-0.623492956161499,
0.04819207265973091,
0.6181438565254211,
0.14977765083312988,
0.3191465735435486,
0.1860932558774948,
-0.17402949929237366,
-0.5628683567047119,
-0.4062904119491577,
-0.21272879838943481,
-0.9264257550239563,
... |
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.
[EX Q]: between Thomas Scoffin and Roni Remme what is the date of the earlier birthday ?
[EX A]: April 25 , 1994
[EX Q]: What other country was represented by t... | Sakharov Prize
| 6 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
0.014961771667003632,
0.788480281829834,
0.004961732774972916,
-0.23297497630119324,
-0.25562018156051636,
-0.01323441881686449,
0.15169887244701385,
-0.06566724926233292,
0.6923797726631165,
0.1417517215013504,
-0.12240882217884064,
1.1944584846496582,
-0.6442356109619141,
-0.061700634658... |
Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Input: Who was the husband of Mary I of England, also known as Mary Tudor?
Output: | philip ii of spain | 3 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.5698773860931396,
1.1063919067382812,
-0.6109198331832886,
-0.7459002733230591,
-0.020301111042499542,
-0.47111791372299194,
0.23163890838623047,
0.2062109410762787,
0.4867292046546936,
-0.18842752277851105,
-0.6888983249664307,
0.15895162522792816,
-0.8899483680725098,
-0.61787998676300... |
instruction:
You are given a statement written in Marathi. 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 .
question:
Statement: हो चि मिन्ह (व्हियेतनामी: Hồ Chí Minh; १९ मे १८९० - २ सप्टेंबर १९६९), जन्मनावः ए... | भारतातील
| 9 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.21130913496017456,
0.29608336091041565,
-0.23018985986709595,
0.4167385697364807,
0.26819485425949097,
-0.7974264621734619,
-0.055683404207229614,
0.7299394011497498,
-0.36778631806373596,
0.05678088963031769,
-0.6042829155921936,
0.0005034792702645063,
-0.30023398995399475,
0.3973420858... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Y, con toda sinceridad, puedo decir que me alegro de haber vivido así esos dos años de mi vida porque cumplí mi objetivo de no sufrir más lamentos. Lo hice.... | E in tutta sincerità, sono contenta di aver vissuto in questo modo questi due anni di vita, perché il mio obiettivo di non patire più il rimorso, l'ho raggiunto. | 6 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.44792699813842773,
0.5142809152603149,
0.5222506523132324,
-0.25340354442596436,
0.1285901814699173,
-0.762220025062561,
-0.4121575355529785,
0.7335706353187561,
0.2215833067893982,
-0.44878363609313965,
0.2502319812774658,
0.5612484812736511,
-0.6111210584640503,
-0.16423451900482178,
... |
Instructions: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Input: 32143
Output: | Yes | 3 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.46788880228996277,
0.48038771748542786,
-0.08848141133785248,
-0.32881492376327515,
-0.4516981840133667,
-0.1417853981256485,
0.4569317102432251,
0.7100085020065308,
-0.039821840822696686,
0.25290319323539734,
-1.1139520406723022,
-0.14436954259872437,
-0.4449918270111084,
-0.4035699963... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | Output: Severe droughts may cause?
| 2 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.45634299516677856,
0.8658663034439087,
0.18685495853424072,
0.16741684079170227,
-0.4357931613922119,
-0.40677106380462646,
0.6593109369277954,
0.9940542578697205,
0.30971741676330566,
-0.47661519050598145,
-1.28725004196167,
-0.10873696208000183,
-0.34311267733573914,
-0.072260320186614... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
フランスのパリ、パルク・デ・プランスで行われた2007年ラ... | ຫຼາຍຊົ່ວໂມງຕໍ່ມາ ຜູ້ຕ້ອງສົງໄສໃນການກໍ່ເຫດຖືກຈັບກຸມໂດຍຕໍາຫຼວດເມືອງ ເອວ ອາວໂຕ້. | 0 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.42846760153770447,
0.5789855122566223,
-0.7564871311187744,
0.3589465916156769,
-0.37206873297691345,
0.06317932903766632,
0.7067586183547974,
0.5825746655464172,
0.0714617371559143,
-0.902328372001648,
-1.2259732484817505,
0.8435071110725403,
-0.6835054755210876,
1.1301307678222656,
... |
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).
The debate between Gillard and her Liberal/National Coalition primary opp... | 「彼は、女王にも隣人にも話しかけることができた。」
| 0 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
0.0059704831801354885,
0.5614615082740784,
-0.07850807905197144,
-0.18432950973510742,
0.02811753749847412,
0.009942227974534035,
0.9468106627464294,
0.09772473573684692,
0.42808589339256287,
-0.5700469017028809,
-0.42527633905410767,
0.3562731146812439,
-0.6317508816719055,
0.197055876255... |
Part 1. Definition
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information... | costs, time | 7 | NIv2 | task181_outcome_extraction | fs_opt | [
0.9362031817436218,
-0.36442145705223083,
-0.9499425888061523,
-0.5031360983848572,
0.19443468749523163,
-0.3562661409378052,
-0.04663194715976715,
0.800887942314148,
-0.11681938171386719,
0.46843159198760986,
-0.6140998601913452,
0.39680203795433044,
0.2857528626918793,
-0.059361707419157... |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be l... | ham | 4 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-0.7626906633377075,
0.0534246563911438,
0.9154493808746338,
-0.9865384697914124,
-0.05302019044756889,
-0.8925668001174927,
-0.1021464467048645,
0.12253299355506897,
-0.5557982921600342,
0.5472955107688904,
-0.26164281368255615,
0.5974056720733643,
-0.2279638946056366,
-0.3223610818386078... |
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 or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Rope and its Usage
Solution: In... | Impazamo salatha mbombo esipheleleyo. | 0 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.5678662061691284,
0.969115674495697,
0.28782862424850464,
0.1715046763420105,
-0.46840378642082214,
-0.717978835105896,
1.0029220581054688,
0.5428928732872009,
-0.3466804027557373,
-0.21382445096969604,
-0.256918340921402,
-0.4008525013923645,
-0.43737179040908813,
0.03982878848910332,
... |
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.
Category: 2-DRINK MINIMUM
Clue: Rhyming words for German dark beer & German white wine | bock & hach | 0 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.8936483860015869,
0.9483192563056946,
0.26292747259140015,
0.03595953434705734,
-0.3549894094467163,
1.0465960502624512,
0.6498596668243408,
0.11480686068534851,
0.47057464718818665,
-0.23384325206279755,
-0.4491940140724182,
-0.26345983147621155,
-1.3138532638549805,
0.2423298656940460... |
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 passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the q... | 0 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.6341291666030884,
0.6659039855003357,
0.03149539604783058,
0.5259052515029907,
0.3217359185218811,
-0.3244417607784271,
0.5504419803619385,
1.0592694282531738,
-0.10044105350971222,
0.4768235981464386,
0.05247291177511215,
0.18009009957313538,
-0.10493562370538712,
0.2602967619895935,
... | |
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics... | 4 | 0 | NIv2 | task1592_yahoo_answers_topics_classfication | zs_opt | [
-0.40182989835739136,
0.35115712881088257,
0.17827944457530975,
-0.09344837069511414,
0.012102003209292889,
-0.21860669553279877,
-0.2890011966228485,
0.130887970328331,
-0.46642541885375977,
-0.3146522045135498,
0.18154554069042206,
0.24808058142662048,
-0.44043001532554626,
-0.6189102530... |
instruction:
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
question:
Sentence: 'a person on a boat with trays of seafood while he sits under a umbrella'. How many words end with the letter 'a' in the sentence.
answer:
4
question:
S... | 3
| 9 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.13351161777973175,
0.34831494092941284,
-0.418222039937973,
-0.9557119607925415,
0.12962907552719116,
-0.7059680819511414,
0.4611905813217163,
0.23622997105121613,
0.32385554909706116,
-0.4514613151550293,
-0.21383607387542725,
0.5945018529891968,
-0.574112057685852,
-0.02086151391267776... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: find the ones digit of 73 ^ 300
Options: a ) 3 , b ) 5 , c ) 6 , d ) 7 , e ) 10
Output: | e | 1 | NIv2 | task1420_mathqa_general | zs_opt | [
0.22313135862350464,
-0.08295336365699768,
-0.6256203651428223,
-0.6751236319541931,
0.16402651369571686,
-0.027396075427532196,
1.0137083530426025,
0.16209867596626282,
-0.1279834359884262,
0.24143652617931366,
-0.6007431149482727,
0.16681340336799622,
0.001668448792770505,
0.162819951772... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: هذا هو أساسنا الأول.
Output: | これが私たちの抱える一番の問題点です | 3 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
0.7871405482292175,
0.4006785750389099,
-0.16766302287578583,
-0.449326753616333,
-0.06396499276161194,
0.1899266541004181,
1.1166789531707764,
0.062272824347019196,
0.8665209412574768,
-0.39966902136802673,
-0.9893445372581482,
-0.3769640028476715,
-0.4745500087738037,
-0.1144516021013259... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Input: هر دوتون بلند بشید. بریم. خوبه ، حالا ؟ اونا.
Output: | Levantem-se os dois. Cá vamos nós. Bom, agora? | 2 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.2968195080757141,
0.8323795795440674,
-0.7176570296287537,
0.01451348140835762,
-0.4449737071990967,
-0.12832103669643402,
0.10880737006664276,
0.6322744488716125,
0.859563946723938,
-0.30664288997650146,
-1.547263264656067,
0.5325806140899658,
-0.3331396281719208,
-0.13795152306556702,... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Example Input: Alexis de Tocqueville and Gustave de Beaumont in America: Their Friendship and Their Travels ed... | No
| 3 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.5898280739784241,
-0.01899183914065361,
-0.32797542214393616,
-0.0035828514955937862,
0.4385702908039093,
-0.09193187206983566,
1.0825797319412231,
1.170148491859436,
-0.7218131422996521,
-0.3256916403770447,
-0.16608178615570068,
0.14372694492340088,
-0.7188767194747925,
-0.395136535167... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explana... | False | 1 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
0.07525146007537842,
0.3569764494895935,
-0.2575073540210724,
-0.4119755029678345,
-0.3255440592765808,
-0.7362438440322876,
0.45610877871513367,
-0.052644915878772736,
0.2755963206291199,
-0.7382164001464844,
0.22108986973762512,
-0.7012307643890381,
-0.6868596076965332,
0.152101546525955... |
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