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 |
|---|---|---|---|---|---|---|
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: Consider Input: זה בדרך כלל רמז לבחור.
Output: normalmente el chico.
Input: Consider Input: הוא אמר לי שהוא מזמין את הנבדקים פנימה, ויגיד, "" אתם יודעים, יש נחש בחדר השני ואנחנו עומדים להכנס לשם. "" לזה, הוא אמר, ר... | Output: Si no sólo quieren una reina, pueden comprar un paquete de tres libras de abejas que llega por correo y, por supuesto, la Oficina de Correos se preocupa mucho cada vez que llegan, su paquete de tres libras de abejas, saben,
| 2 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-1.2204573154449463,
0.1599201261997223,
-0.07527737319469452,
0.37122392654418945,
-0.4902677536010742,
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0.8672135472297668,
-0.6991678476333618,
-0.14362293481826... |
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 context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer ... | Because she was eating a lot of food . | 0 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.44734078645706177,
0.44700613617897034,
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0.0024626776576042175,
-0.7836562395095825,
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You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | Solution: acceptable | 5 | NIv2 | task616_cola_classification | fs_opt | [
-0.2877328395843506,
0.7942997217178345,
0.5029987096786499,
-0.44705289602279663,
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-0.7009768486022949,
-0.2020253837108612,
-0.5836609601974487,
0.000058703299146145... |
Teacher:In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwis... | Option 2 | 6 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.36947548389434814,
0.23333749175071716,
0.14335379004478455,
0.10820319503545761,
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-0.5355796813964844,
-0.49602797627449036,
0.06353010982275009,
-0.2470024824142... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
--------
Question: Context: @wgillis j... | how many dead have been recovered, after the airstrike?
| 7 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.26352936029434204,
0.520697832107544,
-0.2732747197151184,
-0.4182872176170349,
0.22183002531528473,
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-0.1373230218887329,
0.21948610246181488,
-1.101678729057312,
0.6842630505561829,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز دا... | و الآن يراجع مدمنو الأحذية الرياضية حين يخيمون منتظرين الإصدارات. | 0 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.21587982773780823,
-0.009959087707102299,
-1.0907608270645142,
-0.7216695547103882,
-0.3077528178691864,
-0.1593484729528427,
1.3871302604675293,
-0.04670507088303566,
-0.10030144453048706,
-0.1665761023759842,
-0.7585634589195251,
-0.07571995258331299,
-0.29400962591171265,
0.510912477... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Finally, they called him and told him he got the job!
| 3 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.303329199552536,
0.8493499755859375,
0.13656321167945862,
-0.6186113357543945,
-0.1756489872932434,
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0.44442009925842285,
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0.09291967749595642,
-0.6322177648544312,
0.33047035336494446,
-0.1943795382976532,
-0.18721280992031... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | film
| 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.18554404377937317,
0.5110812783241272,
-0.28730589151382446,
-0.24298293888568878,
0.27857452630996704,
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-0.23225143551826477,
0.38098275661468506,
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-0.21553602814674377,
0.07027120888233185,
0.23035459220409393,
-0.4402061700820923,
-0.26664116978... |
Teacher: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereoty... | Anti-stereotype | 2 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.17890723049640656,
0.4706517457962036,
-0.28052425384521484,
-0.17465895414352417,
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-0.8511235117912292,
-0.26371908187866... |
Q: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as f... | Tired. | 7 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.18083013594150543,
0.6589375138282776,
0.039813216775655746,
0.36810317635536194,
-0.1513759344816208,
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-0.1641543358564... |
Q: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
The movie is great but the disk won't play. I am a little dissapointed. Is there anything... | Bad review | 7 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.4081428349018097,
0.2611277103424072,
-0.21125870943069458,
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0.13261815905570984,
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-0.32849234342575073... |
You will be given a definition of a task first, then some input of the task.
In this task, you are to Translate German text to English
Die Konfiguration der unter Umständen verbundenen im Komponenten-Pool vorhandenen Komponenten wird laufend auf Übereinstimmung mit Archetypen untersucht.
Output: | The configuration of the components (which may be linked) in the component pool is continuously analysed, to determine whether it agrees with the archetypes. | 1 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.4019790589809418,
0.3918435871601105,
-0.4949650764465332,
0.683100700378418,
-0.15161630511283875,
-0.23643994331359863,
0.7868738174438477,
0.010447341948747635,
0.20511049032211304,
0.5015296936035156,
-0.18638184666633606,
-0.33686554431915283,
0.31808871030807495,
0.456467777490615... |
Given the task definition and input, reply with output. In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", ... | Entailment | 5 | NIv2 | task463_parsinlu_entailment_classification | zs_opt | [
-1.037747859954834,
0.4087837338447571,
0.1673080176115036,
0.4753546714782715,
-0.7909619808197021,
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0.5186702013015747,
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-0.43291664123535156,
-0.8577185869216919,
0.19106866419315338,
-0.10912629961967468,
0.09589484333992004,... |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Example Input: Sentence: 'a man riding an elephant plays basketball while others watch'. Reverse all words of length '1' in the given se... | eht nam holds a phone next to sih rae
| 3 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
0.3085501194000244,
0.3465878367424011,
-0.06514450907707214,
-0.5540218353271484,
-0.20621845126152039,
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0.11288022994995117,
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-1.308449149131775,
0.04159155488014221,
-0.8086827993392944,
-0.442138314247131... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [0, 2, -84, -800]
| 1 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.029424089938402176,
0.33715686202049255,
-0.9146871566772461,
0.1269514560699463,
-0.02205352671444416,
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0.8757424354553223,
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-0.8446437120437622,
0.3053390383720398,
-0.3518308401107788,
-0.54351896047592... |
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Input: Consider Input:... | Output: cause
| 2 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-0.5102030038833618,
0.5181965827941895,
-0.6445947885513306,
0.2495502382516861,
-0.3705906271934509,
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-0.018835220485925674,
-0.0410955473780632,
-0.13699355721473694,
-0.22827252745628357,
-0.018879346549510956,
0.6898437142372131,
-0.85706627368927,
-0.0172175690531... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Q: انه ليس حيوان نرسمه عادة.. في الحقيقة لا نرسمه ابدا
A: | 普通絵に描いたりも − しませんけど | 4 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.31640028953552246,
0.32548099756240845,
0.0035865111276507378,
-0.26592952013015747,
-0.9354478716850281,
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0.4204142391681671,
0.5547805428504944,
0.6025818586349487,
-0.6817072033882141,
-0.29257291555404663,
0.6967018246650696,
-0.39037638902664185,
0.8116791248321... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Solution: It was inexpensive because we saved up extra money. | 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
-0.012079903855919838,
0.5728268623352051,
0.15153242647647858,
0.6972805261611938,
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-0.22553609311580658,
-0.005531477741897106,
-0.4034908413887024,
-0.48485636711... |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Problem:Arem-arem | country | Indonesia
Arem-arem ... | The main course Arem-arem is a dish of Javanese cuisine and is also popular in Indonesia. The main ingredients are rice cooked in banana leaf with vegetables or minced meat fillings. | 8 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.034486956894397736,
0.8939963579177856,
0.1106131374835968,
-0.5802621245384216,
-0.38290733098983765,
0.36315464973449707,
1.0533381700515747,
-0.14172016084194183,
-1.1984119415283203,
-0.2566704750061035,
-0.5663062334060669,
0.9160985946655273,
-0.7869232296943665,
0.144848346710205... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
--------
Question: Which American film actress, born in 1947, had a 14 year relationship with Clint Eastwood, starring with him in several films before splitting up in 1989?
Answer: clint eastwoo... | despicable me
| 7 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.5522193312644958,
0.9476233124732971,
-0.23004361987113953,
0.04369542747735977,
-0.4645305275917053,
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0.02661694772541523,
0.446111261844635,
-0.009453474543988705,
-0.7683277130126953,
0.284743070602417,... |
The task is to generate the correct answer for a given math problem.
Example: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Example solution: 625
Example explanation: Total r of 5 * 5 * 5 * 5 = 5 ^ 4... | Solution: 37.25 kg | 5 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.37504079937934875,
0.42496415972709656,
0.5313385725021362,
-0.0575457364320755,
0.2567604184150696,
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-0.801068902015686,
0.2459113448858261,
-0.3903771638870239,
0.6323442459106445,
-0... |
Teacher: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 question. If a question is unanswerable or none of the events answer the question, output should be empty.
Teacher... | meet | 6 | NIv2 | task390_torque_text_span_selection | zs_opt | [
-0.5015249252319336,
0.8516470193862915,
-0.3049595057964325,
0.08415324240922928,
-0.603728175163269,
0.22254681587219238,
0.8159708380699158,
0.5824991464614868,
0.006092609837651253,
0.44722193479537964,
0.2165020853281021,
0.20998984575271606,
-0.1956157386302948,
0.6403384804725647,
... |
Definition: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced ... | Ther | 2 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.6697235107421875,
0.5275753140449524,
0.02707798406481743,
0.8111391067504883,
0.6375149488449097,
-0.825855553150177,
0.6409367322921753,
0.07399335503578186,
0.18005412817001343,
0.5975298285484314,
0.2481212615966797,
-0.49943050742149353,
-0.7015184164047241,
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... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
See one example below:
Problem: "" אף אדם אינו אי העומד בפני עצמו.
Solution: "" Nessun uomo è un'isola completamente a sé.
Explanation: The Hebrew sentence is correctly translated into Italian, because ... | Non può proseguire nella sua ricerca di fosforo. | 4 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.07415535300970078,
0.5692934989929199,
-0.11949709057807922,
-0.44828829169273376,
-0.3019026517868042,
-0.8096411228179932,
1.2524999380111694,
0.09676636755466461,
0.19524835050106049,
-0.5467767715454102,
-0.8752095103263855,
0.20489612221717834,
-1.1806917190551758,
0.33384841680526... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Ex Input:
نیمتنههای سفید و میزهای کوچک در پس زمینه پوشیده از نسخههای مجله تتلر و بطریهای آب گازدار گویی تصدیق میکردند.
Ex Output:
The white busts and the little tables in the background covered with copies of the Tat... | still sitting alone on the seat, in his shabby overcoat, his legs crossed, staring, talking aloud.
| 1 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.9373569488525391,
0.4113282263278961,
-0.559080183506012,
-0.15176993608474731,
-0.24712790548801422,
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0.5181984901428223,
0.5984375476837158,
0.7228738069534302,
0.1939130425453186,
-0.2992156744003296,
0.3123618960380554,
-0.631216287612915,
0.03621799498796463,
0... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Así que, tan pronto como un cangrejo las toca se retraen a sus conchas, igual que sus uñas.
Student: | カニが触れた瞬間にピクッと殻の中へ引っ込みます | 6 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
0.2097650021314621,
0.8271934986114502,
-0.05092380940914154,
-0.61207115650177,
-0.05525227636098862,
-0.3250475823879242,
0.38655993342399597,
0.6687774658203125,
-0.2552028298377991,
0.02450554072856903,
0.5884931087493896,
-0.10001565515995026,
-0.7001329064369202,
-0.1366860568523407,... |
Detailed Instructions: Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາ... | 「この特定の決断には、我々の見解を示すものは何もない」 | 4 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.6432282328605652,
0.6071717739105225,
-0.6028454303741455,
0.42722463607788086,
-0.19649085402488708,
-0.4341610074043274,
0.4364197552204132,
0.47439590096473694,
0.321594774723053,
-0.528281033039093,
-0.8115164041519165,
1.15921151638031,
-0.6623513102531433,
0.9944183826446533,
0.... |
Q: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Someone looks up to someone's room.
A: | Someone looks hopefully at someone. | 7 | NIv2 | task455_swag_context_generation | zs_opt | [
0.5364320278167725,
1.8077287673950195,
-0.700279951095581,
-0.05441555380821228,
-0.38479915261268616,
-0.31802457571029663,
-0.061638057231903076,
-0.04362848401069641,
0.37441912293434143,
0.07395453006029129,
-0.0006088302470743656,
0.3311951756477356,
-0.8356528282165527,
-0.086076468... |
Given the task definition and input, reply with output. In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but n... | Hateful | 5 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-1.0158631801605225,
0.6520255208015442,
0.7322592735290527,
0.6562674045562744,
-0.24926479160785675,
-0.5302978157997131,
0.49462956190109253,
0.7466124892234802,
0.7896227836608887,
0.38071852922439575,
-0.5464861392974854,
0.37702497839927673,
-0.7467436194419861,
-0.4835755527019501,
... |
Teacher:Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, th... | blood. | 6 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.18559682369232178,
0.2921929657459259,
0.1898702085018158,
-0.10967867076396942,
-0.5547078251838684,
-1.4900965690612793,
0.3662431240081787,
0.4368184506893158,
-0.2128751426935196,
-0.26710766553878784,
-0.34968602657318115,
0.12987059354782104,
-1.145633578300476,
-0.1790821701288223... |
TASK DEFINITION: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
PROBLEM: Question: How many artists had won the... | 2
| 8 | NIv2 | task230_iirc_passage_classification | fs_opt | [
-0.022081930190324783,
0.531504213809967,
-0.8288750052452087,
-0.07631413638591766,
0.31031283736228943,
0.20603269338607788,
0.7241105437278748,
0.7415223121643066,
0.09249387681484222,
0.1483035683631897,
-0.08373671770095825,
0.8746939301490784,
-0.22468863427639008,
-0.180840998888015... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
ودیگه چيزى كه غیرمنتظره وتعجب آمیز بود دوربین بود
Output: | E a outra surpresa inesperada foi a câmara. | 1 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-1.0280828475952148,
0.7048754096031189,
-0.6055669784545898,
-0.3487361967563629,
-0.5944442749023438,
0.046825289726257324,
0.21555566787719727,
0.4566264748573303,
1.033673644065857,
-0.43773984909057617,
-0.8550105094909668,
-0.25286105275154114,
0.29930877685546875,
0.5723342895507812... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: a rainbow is formed by refraction of light by separating light into all d... | C | 1 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.1270986646413803,
0.4091707766056061,
0.211547389626503,
-0.3274713456630707,
-0.5432910919189453,
-0.33918070793151855,
-0.11498767882585526,
0.8092272281646729,
0.18342655897140503,
-0.31653299927711487,
-0.30445194244384766,
-0.24681033194065094,
-0.22835174202919006,
0.17085085809230... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Example: Category: construction
Words: excavator, crane, pelican, hoist, upraise
Example solution: pelican
Example explanation: A p... | Solution: car | 5 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.16389788687229156,
0.510047197341919,
-0.13048303127288818,
0.1804671436548233,
0.04903213679790497,
0.06345599889755249,
0.37770336866378784,
0.17215444147586823,
-0.16378869116306305,
-0.4145418107509613,
-1.1297999620437622,
0.22792214155197144,
-0.7224698066711426,
0.3286795616149902... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
[EX Q]: No próximo modo, o Rezero está passivo, e podemos movê-lo de um lado para o outro.
[EX A]: En el siguiente modo, Rezero está pasivo, y lo podemos mover.
[EX Q]: Sabemos que há um número infinito de números p... | Porque todavía circula el 80% del tráfico.
| 6 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.9746795892715454,
0.5586596131324768,
0.002664275001734495,
-0.7579126358032227,
-0.6777050495147705,
0.2742725610733032,
0.7553412914276123,
0.6788854002952576,
0.2325412780046463,
-0.12706808745861053,
-0.6130479574203491,
-0.07955613732337952,
-0.18075573444366455,
0.2622225880622864... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
[Q]: 11, 14, ['... | 4687, d, 1359, 2151, 5825, 5379
| 5 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.11390455067157745,
0.054079920053482056,
-0.3241274952888489,
-0.6540088653564453,
-0.4515315890312195,
-0.42938297986984253,
0.5424307584762573,
-0.1407695710659027,
-0.7151646018028259,
0.07423911988735199,
-0.9841282367706299,
0.14863044023513794,
0.12881480157375336,
0.1070967465639... |
TASK DEFINITION: In this task, you are given a sentence in English, and your task is to translate it into Persian.
PROBLEM: That's because he says he doesn't see any fundamental changes. "The election of Mr. Rouhani, to me, is just a cosmetic change.
SOLUTION: به این دلیل که وی هیچ تغییر بنیادینی در ساختار نمیبیند و ... | «من از جوانان کشورم نمیخواهم که صبر پیشه کنند، من از اعتراضات مسالمتآمیز آنها حمایت میکنم»
| 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.19902274012565613,
1.0224378108978271,
0.10084767639636993,
-0.010739065706729889,
-0.7991629838943481,
0.19334663450717926,
1.272812843322754,
0.875931978225708,
0.32484501600265503,
-0.045877210795879364,
-0.02114725671708584,
0.5514601469039917,
-0.08846107870340347,
0.16731353104114... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: Normally I buy thistle from Walmart but they were out of stock for a few weeks so I ordered this product. I use socks and finches in... | positive
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.16303426027297974,
-0.23160776495933533,
-0.3300027549266815,
0.020191138610243797,
-0.033540286123752594,
-0.2577941417694092,
1.0000278949737549,
0.8866703510284424,
-0.08315304666757584,
0.45742830634117126,
0.09253893792629242,
-0.06328348070383072,
-0.8551552295684814,
-0.760736048... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | PersonX lost her stuffed rabbit while at the playground with PersonY, so _ consoles her friend. | 4 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.041572093963623,
0.16544866561889648,
-0.41086840629577637,
-0.042587265372276306,
0.4309692978858948,
-1.1002256870269775,
1.4256412982940674,
0.6374220848083496,
-0.5321881175041199,
-0.6468137502670288,
-0.1395144760608673,
0.12960311770439148,
-0.7513609528541565,
0.3271196484565735,... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 9, 11. | 0 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.08722136169672012,
0.13234996795654297,
-0.3127955198287964,
0.16272704303264618,
0.5375890135765076,
-0.16663753986358643,
0.2391781508922577,
1.1815195083618164,
-0.4160955548286438,
0.1544235795736313,
-0.6164752244949341,
0.38913047313690186,
-0.20124788582324982,
0.2818092107772827,... |
In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: Quando se limpa os pés no tapete da porta e se entra pela porta, ond... | D
| 3 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | fs_opt | [
0.45840078592300415,
0.4504823386669159,
-0.6509445309638977,
0.0143181923776865,
-0.4251142740249634,
-0.24466533958911896,
0.06115433946251869,
1.0567615032196045,
0.021514998748898506,
0.09548377990722656,
-0.04069451615214348,
0.30746546387672424,
0.03899738937616348,
-0.72430080175399... |
You are given a statement written in Malayalam. 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: (Tidal action). തരംഗങ്ങളെ അപേക്ഷിച്ച് വേലിയേറ്റ--വേലിയിറക്ക പ്രവർത്തനങ്ങൾ ക്രമത്തിലുള്ളതും പ്രവചന... | സൂര്യ | 4 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
-0.03734789416193962,
0.7359362840652466,
-0.41613441705703735,
-0.276327908039093,
-0.18539367616176605,
-0.1922031044960022,
0.0353083610534668,
1.3664729595184326,
-0.47906768321990967,
0.37635838985443115,
0.1193733960390091,
-0.8122085332870483,
-0.08329568803310394,
-0.17219558358192... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Example: Statement: Next to the MGM Grand you will find M and M Worl... | Solution: 1 | 5 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.2669236660003662,
0.3776226043701172,
0.010729646310210228,
0.014524792321026325,
0.179706409573555,
-0.4245116710662842,
-0.23181170225143433,
0.9891114234924316,
0.03889085724949837,
-0.15970414876937866,
-0.17572623491287231,
-0.9332373142242432,
0.3329817056655884,
-0.936643898487091... |
TASK DEFINITION: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level res... | purpose
| 8 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.07829608023166656,
0.5445383787155151,
-0.39262717962265015,
-0.03908586874604225,
-0.2672368288040161,
0.3564419150352478,
1.091871738433838,
0.6113321185112,
0.6274243593215942,
-0.3673778772354126,
-0.8571670651435852,
0.3858480453491211,
-0.06306859850883484,
-0.04419267922639847,
... |
Definition: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
... | 2, 5, 6, 10, 12, 13, 18, 21, 22, 23, 26, 27, 28, 29 | 2 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.052778877317905426,
0.35988444089889526,
-0.1696135699748993,
-0.2585585117340088,
0.20335932075977325,
-0.04070259630680084,
0.38262349367141724,
0.09975657612085342,
0.06727217137813568,
0.1416756957769394,
-0.7826440930366516,
-0.1423456370830536,
0.20804890990257263,
0.2051203548908... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio gra... | نقوم بتجفيف اللقاحات ونسقطها على النانوباتش ونضعها على الجلد. | 0 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.33105146884918213,
0.4791416525840759,
0.012138744816184044,
-0.2151249349117279,
-0.5536851286888123,
-0.043296169489622116,
1.2197203636169434,
0.7787412405014038,
0.2745097875595093,
-0.22011110186576843,
-0.30548644065856934,
0.08682163059711456,
-0.34173232316970825,
0.686338901519... |
instruction:
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the mos... | Raise the child well
| 9 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.4825950562953949,
0.5654112696647644,
0.39892005920410156,
-0.834019660949707,
-0.0033324742689728737,
-0.06731414794921875,
0.7323706746101379,
0.3255997598171234,
0.017191004008054733,
-0.37885501980781555,
-0.468440443277359,
0.2864035964012146,
-1.1098017692565918,
0.3810180127620697... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Remy cal... | C | 0 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.2325272262096405,
1.0186102390289307,
-0.0813760906457901,
0.2168603241443634,
-0.43342217803001404,
-0.3795776963233948,
0.774482011795044,
0.3508886992931366,
-0.10478677600622177,
0.364058256149292,
-0.6770300269126892,
0.21403896808624268,
0.06347118318080902,
-0.26772505044937134,
... |
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".
Q: [header] How to write a free verse poem [title] Choose a subject or theme. [step] Maybe you'd li... | C | 4 | NIv2 | task1389_hellaswag_completion | zs_opt | [
1.1373957395553589,
0.5877041816711426,
-0.19838662445545197,
-0.441402792930603,
0.2580567002296448,
-0.9058924913406372,
0.6418052911758423,
0.7271261215209961,
0.020601624622941017,
-0.1512981355190277,
-0.645636260509491,
0.009228727780282497,
0.5208779573440552,
0.39410072565078735,
... |
instruction:
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.
question:
['7203', '8715', '3193', 'w', '7159', '85... | a, e, h, l, n, o, q, u, v, y
| 9 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
0.11526700854301453,
0.010851850733160973,
-0.22088733315467834,
-0.04283863678574562,
0.16859465837478638,
-0.41598814725875854,
0.769176721572876,
0.5440214276313782,
-0.3151472806930542,
0.5983700752258301,
-0.2903299331665039,
0.2156394124031067,
-0.5192309617996216,
0.3070053458213806... |
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 context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Tracy... | How would Lee feel afterwards? | 0 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.05696724355220795,
0.7684723138809204,
0.16037340462207794,
0.20290230214595795,
-0.059725068509578705,
0.0277471374720335,
0.2085925191640854,
0.453257292509079,
0.5596641302108765,
-0.1533108949661255,
-0.5641469955444336,
0.17627441883087158,
-0.1101069301366806,
0.4359265863895416,
... |
Teacher: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Natalo ng Italya ang Portugal sa puntos na 31... | 「彼らは抗議者を追って、『おい、ポン引き、おい、侵入者、自由が欲しいか？俺たちが与えてやる』と叫びながら、広場のちょうど北の裏道に入って行った」 | 2 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
0.41972801089286804,
0.5105553865432739,
-0.790019690990448,
0.2552086114883423,
-0.1358257532119751,
-0.8338570594787598,
0.3007577061653137,
0.6534391641616821,
-0.023936649784445763,
-0.5944864749908447,
-1.0015106201171875,
0.8814312815666199,
-0.2681752145290375,
0.2040601223707199,
... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subjec... | Some people are lined up. | 6 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.8927087187767029,
-0.08000598847866058,
0.38005387783050537,
-0.902084469795227,
-0.023741930723190308,
-0.2207709699869156,
-0.2834895849227905,
0.9930423498153687,
0.27725616097450256,
-0.41887980699539185,
-1.4642672538757324,
-0.6273555755615234,
-0.06786172091960907,
-0.70836824178... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Example Input: What is the pressure of gas in... | scefitana
| 3 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.004857312887907028,
1.0898728370666504,
-0.1964244395494461,
-0.5027226209640503,
-0.3920520544052124,
-0.9290767908096313,
-0.05495142191648483,
0.23477447032928467,
-0.18892142176628113,
-0.45539218187332153,
-0.600631594657898,
0.22518403828144073,
-0.9060713052749634,
-0.27347537875... |
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
****
| 4 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
1.0543828010559082,
0.14736098051071167,
0.07617919147014618,
-0.3755177855491638,
-0.532615065574646,
-0.6196832656860352,
1.3411571979522705,
0.553555965423584,
-0.7891409993171692,
-0.25098851323127747,
-1.053669810295105,
-0.3845571279525757,
-1.2950382232666016,
0.02069871872663498,
... |
Detailed Instructions: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Q: In a transverse wave... | flow | 9 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.005666828714311123,
1.035037636756897,
-0.4134202301502228,
-0.3404712677001953,
0.00042400811798870564,
-0.11254295706748962,
-0.17578400671482086,
0.24164357781410217,
-0.17045795917510986,
0.0688503161072731,
0.1343245804309845,
0.37990087270736694,
-0.5142713189125061,
0.12496040761... |
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 context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense r... | False | 0 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
-0.002383500337600708,
0.6015493273735046,
0.5174024105072021,
-0.15629994869232178,
-0.297143816947937,
-0.02580539509654045,
0.5793025493621826,
0.3327969014644623,
0.500974178314209,
-0.29532909393310547,
-0.44607293605804443,
-0.10895462334156036,
0.07245279848575592,
0.363986432552337... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
[EX Q]: 2, 3, ['8871', 't', '8563']
... | 2577, 5223, J
| 6 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.6000396013259888,
0.30013519525527954,
-0.5897411108016968,
-0.2057161182165146,
-0.07164142280817032,
-0.41301703453063965,
0.6863723397254944,
-0.4652699828147888,
-0.5222732424736023,
0.41461122035980225,
-0.6717265844345093,
0.1720212697982788,
0.07124605774879456,
-0.38079702854156... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC... | BASKETBALL - OLYMPIAKOS <B-ORG> BEAT DINAMO <B-ORG> 69-60 . | 1 | NIv2 | task610_conllpp_ner | fs_opt | [
0.3173697292804718,
0.06062676012516022,
-0.06060253456234932,
0.7931792736053467,
0.14171816408634186,
-0.2643352150917053,
-0.10972914099693298,
0.6070519089698792,
-0.17654727399349213,
0.1249142587184906,
-0.0966387540102005,
0.5924320220947266,
-0.3972108066082001,
0.15527388453483582... |
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 of this corpus is -
'.... | Output: CONJ
| 2 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6260809898376465,
0.20741066336631775,
-0.09640706330537796,
0.03536272048950195,
-0.08617910742759705,
-0.5130390524864197,
0.6444106101989746,
0.7625507116317749,
-0.474636435508728,
-0.011539002880454063,
-0.7189979553222656,
0.12149389088153839,
-0.5383964776992798,
0.319806247949600... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
-0.012625450268387794,
0.26706260442733765,
0.538923978805542,
-0.403333842754364,
-0.5464590787887573,
-1.398165225982666,
1.6184754371643066,
0.4484771490097046,
-0.3760219216346741,
-0.5918769836425781,
-0.3068963289260864,
-0.3138718605041504,
-0.7859116792678833,
0.309110164642334,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Hindi(hi), give the translation of the sentence in English(en) as output
एकता का स्वर, देश को, कितनी बड़ी ताकत देता है उसका यह उदाहरण है
Output: | It is an example of how the voice of unison can bestow strength upon our country. | 1 | NIv2 | task1655_mkb_translation | zs_opt | [
-0.25850987434387207,
0.4765348434448242,
-0.33597004413604736,
0.04075784981250763,
-0.0648043304681778,
-0.7269142866134644,
0.07851278781890869,
0.5956315994262695,
-0.25691765546798706,
0.15135788917541504,
-0.8884518146514893,
-0.05733083188533783,
0.23699674010276794,
0.0966154783964... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
L'altro fu trattare i pazienti con il chinino, o derivati del chinino. | La otra fue tratar a los pacientes con quinina o sus derivados. | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.7649871706962585,
0.6289712190628052,
-0.24917148053646088,
0.19937506318092346,
-0.02138930931687355,
-0.7816133499145508,
-0.0843391865491867,
1.1274373531341553,
0.10286016762256622,
-1.0203206539154053,
-0.4674454629421234,
0.08509179204702377,
-0.274289071559906,
0.4648075699806213... |
This task is about translating a given French language sentence to English.
Q: Nous avons eu la chance de travailler avec un autre groupe à Stanford qui nous a fabriqué un capteur spécial qui nous a permis de mesurer l'effort sur un seul poil.
A: | We were fortunate to work with another group at Stanford that built us a special manned sensor, that we were able to measure the force of an individual hair. | 4 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.43271204829216003,
0.6641393303871155,
-0.3041718602180481,
-0.7270563244819641,
0.12439532577991486,
-0.9784229397773743,
-0.2549564242362976,
0.5916726589202881,
0.6185131669044495,
0.35465115308761597,
0.20119830965995789,
0.3615708351135254,
-0.20145675539970398,
0.09650585055351257... |
Part 1. Definition
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Part 2. Example
ఈ పోర్టల్ ను 2019-20 ఆర్థిక సంవత్సరానికి ఎన్జిఒ లు మరియు రాష్ట్రాలు ఆన్లైన్ లో దరఖాస్తులను దాఖలు చేయడం కోసం బుధవార... | श्री मोदी ने भारत के लिए प्रासंगिक माने जाने वाले कुछ महत्वपूर्ण नीतिगत मुद्दों की ओर विशेषज्ञों का ध्यान आकृष्ट किया। | 7 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.3351791203022003,
0.20462003350257874,
0.2912404239177704,
0.21025027334690094,
-0.04692733287811279,
-0.4786034822463989,
0.6581241488456726,
0.772416353225708,
-0.31293484568595886,
0.3289339542388916,
-0.54678875207901,
0.4141571521759033,
-0.6357933282852173,
0.25628533959388733,
... |
Detailed Instructions: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the ... | Don't Care | 8 | NIv2 | task1500_dstc3_classification | zs_opt | [
-0.1731022298336029,
0.5663226842880249,
-0.3309613764286041,
-0.30195993185043335,
0.30036473274230957,
-0.5836721658706665,
-0.1512225866317749,
0.5717945694923401,
-0.16310930252075195,
0.5444379448890686,
0.7175692915916443,
-0.47209882736206055,
0.013315552845597267,
-0.62894463539123... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Example input: Un bărbat pune brânză mărunțită pe o pizza.
Example output: A man is spreading shreded cheese on a pizza.
Example explanation: In the given translation process, the ... | The central bank's policy board left rates steady for now, as widely expected, but surprised the market by declaring that overall risks were weighted toward weakness. | 3 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
0.06507699936628342,
0.9335672855377197,
0.02790229022502899,
0.0012907026102766395,
0.1337132453918457,
-0.41632041335105896,
0.5959272384643555,
0.8733128905296326,
0.7731478214263916,
0.4162527024745941,
-0.03194847330451012,
0.8805862069129944,
-0.5119291543960571,
-0.19965440034866333... |
Q: Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the r... | Which type of transmission is found in a [Ford C4 transmission]? | 7 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.4432862102985382,
-0.2084536850452423,
-0.5994288921356201,
0.5581719279289246,
0.4084623456001282,
-0.7183155417442322,
0.347110390663147,
1.2626886367797852,
0.1707785576581955,
-0.12320143729448318,
-0.705944836139679,
-0.017406895756721497,
-0.03565013408660889,
0.1782265603542328,
... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: E qui sotto, la mortalità infantile, la percentuale dei bambini che sopravvivono all'infanzia fino a cominciare la scuola. 60 per cento, 70 per cento, 80 per cento, 90, e quasi 100 per cento, com ’ è ade... | E aquí abaixo, os nenos que sobreviven, a porcentaxe de nenos que sobreviven ata alcanzar a escola: 60 por cento, 70 por cento, 80 por cento, 90... e case 100 porcento, como temos hoxe en día nos paises máis ricos e sáns. | 2 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.8397681713104248,
0.5949622392654419,
0.1363120973110199,
-0.9045689702033997,
-0.392386257648468,
-0.7681046724319458,
0.1807866394519806,
1.3056223392486572,
-0.2929190397262573,
0.06609232723712921,
-0.3734741806983948,
0.6387847661972046,
-0.6206256151199341,
0.9635140895843506,
0... |
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... | Yes | 6 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.6028025150299072,
-0.6515670418739319,
-0.14575502276420593,
-0.05357528477907181,
0.27465710043907166,
-0.7436585426330566,
0.372632771730423,
0.024303419515490532,
-0.2744656205177307,
0.01714743860065937,
0.21004977822303772,
1.183732032775879,
0.07444694638252258,
0.863888144493103,... |
Q: In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Text: Szkło beznadziejne. Położyłem telefon na noc na zimnych kaflach co poskutkowało pęknięciem. Dodatkow... | negative | 7 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
-1.317115306854248,
0.4014776051044464,
0.14025922119617462,
-0.5799060463905334,
0.8065260052680969,
0.203738272190094,
0.6327624320983887,
0.2536378800868988,
-0.16848820447921753,
0.7341979742050171,
0.07945254445075989,
0.6759204864501953,
-0.4437682032585144,
-0.07613533735275269,
0... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Input: Consider Input: 8155 + 6800 - 6839 - 8047 + 3270
Output: 12971
Input... | Output: 8425
| 2 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
0.09540484100580215,
-0.10013443231582642,
-0.8538739681243896,
-0.21081191301345825,
-0.23896916210651398,
0.08148068189620972,
0.12969069182872772,
1.3120851516723633,
0.2285984754562378,
-0.6559658050537109,
-0.7495522499084473,
0.006635033059865236,
-0.1738450825214386,
-0.099296964704... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
"" Gracias a que me sentiste, puedo volver a sentirme "". La clave aquí es la empatía.
| "" Poiché tu sei entrata in contatto con me, io sono di nuovo in contatto con me stessa. "" La chiave, qui, è l'empatia. | 5 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.3015757203102112,
0.9095267057418823,
0.4244842231273651,
-0.1289723515510559,
0.07976605743169785,
-0.5141321420669556,
0.17873424291610718,
0.7535108327865601,
-0.0686919093132019,
-0.3258288502693176,
-0.0022130992729216814,
0.39524024724960327,
-0.38059765100479126,
0.26537162065505... |
Part 1. Definition
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Part 2. Example
Is AUTHOR wrong in the post ? POST : Pretty much was hanging ou... | no | 7 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.3637709319591522,
0.07600783556699753,
0.08190828561782837,
0.2857361435890198,
0.32085156440734863,
-0.5560426712036133,
0.5235539674758911,
0.2997402250766754,
0.557147741317749,
-0.35917389392852783,
-0.11426711082458496,
0.10905429720878601,
-0.982561469078064,
-0.4493430554866791,
... |
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 district court erred in relying on authority other than that of the supreme court of the united states in its analysis under 2254d | 9 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.6530812978744507,
0.38786083459854126,
-0.3757975995540619,
0.06117703765630722,
0.42551660537719727,
-1.14664888381958,
0.3708518445491791,
0.9230950474739075,
-0.7639551758766174,
0.20154492557048798,
-0.46506571769714355,
0.40723252296447754,
-0.4256376624107361,
0.1138274222612381,
... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
PROBLEM: Sentence 1: He must parry opponents' attacks better. ... | yes
| 8 | NIv2 | task199_mnli_classification | fs_opt | [
-0.5261839628219604,
0.6457870006561279,
0.3485985994338989,
-0.1472412645816803,
-0.0013324061874300241,
-0.7516810297966003,
0.799879789352417,
1.2101722955703735,
0.10753850638866425,
0.2965567111968994,
-0.7962350845336914,
-0.5972951650619507,
-0.8554607629776001,
-0.09978073835372925... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
P... | 1 | 8 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.7036927938461304,
0.8070377707481384,
0.5537675619125366,
-0.1624344438314438,
-0.6471648812294006,
0.2875722646713257,
0.34586840867996216,
0.6319243907928467,
0.1314111351966858,
-0.16911935806274414,
-0.4877663254737854,
0.253564715385437,
0.1030244529247284,
-0.12961407005786896,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
[EX Q]: 楽な道のりだとは言いません
[EX A]: Non vi stiamo dicendo che sarà facile.
[EX Q]: ２年半前ヒュー・ハー教授に会い ２年半前ヒュー・ハー教授に会いこの問題の解決法を彼に訊ねられ「まだ分かりませんが是非見つけ出したいと思います」と答えましたそれでMITメディアラボでの博士課程中に私が設計した義肢ソケットは安価で製作過程も短くしかも使い心地が今までより良いものです
[E... | E penso che questo è uno dei problemi principali della nostra società:
| 6 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.4879659414291382,
-0.10680567473173141,
-0.20444518327713013,
-0.14899668097496033,
-0.39132288098335266,
-0.2060280740261078,
0.20970891416072845,
0.797768235206604,
-0.17149391770362854,
-0.9117588400840759,
-0.6640790104866028,
0.8350182175636292,
0.386778861284256,
0.561524689197540... |
Definition: In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Input: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Sensible Advertising and Family
Education Act''.
SEC. 2. FINDINGS.
Congress makes the following findin... | Sensible Advertising and Family Education Act - Declares it to be an unlawful or deceptive act under the Federal Trade Commission Act to advertise through magazines, newspapers, brochures, and promotional displays any alcoholic beverage, unless the advertising includes one of specified health warnings.
Requires the Se... | 2 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.6644948124885559,
0.2744257152080536,
-0.6505568027496338,
-0.42802324891090393,
0.3018374443054199,
-0.5769332647323608,
0.7316476106643677,
1.355857253074646,
-0.25957274436950684,
0.4212273359298706,
0.22314786911010742,
0.5225933790206909,
-0.344071626663208,
-0.20591288805007935,
... |
Given the task definition, example input & output, solve the new input case.
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.
Example: I have bought several of t... | couldn't handle the texture | 1 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6465014219284058,
0.03754011541604996,
-0.10565479844808578,
0.034491464495658875,
0.27588391304016113,
0.24116140604019165,
0.26469922065734863,
0.7971351146697998,
-0.3890884816646576,
0.01518465019762516,
0.4053053557872772,
-0.18466942012310028,
-0.05741048604249954,
-0.428489685058... |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
--------
Question: Sentence: 'a person wearing a black jacket is standing next to a horse'. Reverse all words of length '8' in the given ... | a egg salad sandwich on htiw bread and emos epyt of a llor
| 7 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
0.10285063087940216,
0.4758247137069702,
-0.16793784499168396,
-0.1532161831855774,
-0.26099616289138794,
-0.42412257194519043,
0.2529577910900116,
0.4633203446865082,
-0.07094700634479523,
-0.4650384187698364,
-1.0698037147521973,
0.15132154524326324,
-0.3205997347831726,
-0.1038325875997... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Example input: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet con... | Yes | 3 | NIv2 | task839_cdt_classification | fs_opt | [
-1.4161016941070557,
1.2056844234466553,
0.5093728303909302,
0.152168869972229,
-0.6146663427352905,
-0.9160656332969666,
0.7467392683029175,
-0.7827372550964355,
-0.008361132815480232,
-0.00876688864082098,
-0.3221859037876129,
0.18168142437934875,
-0.7824515700340271,
-0.1041080579161644... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
فكر كنم اشتباه ميكني ، نيك تو چه آشغالي باشي كه بگي من دارم اشتباه ميكنم .
Output: | i think youre wrong , nick . who the fuck are you to think im wrong . | 1 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.5363156199455261,
0.3461880087852478,
0.20800049602985382,
0.2916840612888336,
-0.06765089929103851,
0.3674108386039734,
0.8341354131698608,
0.14561131596565247,
0.6213722229003906,
0.5668701529502869,
-0.35062694549560547,
-0.1835024058818817,
-0.48710596561431885,
0.254294753074646,
... |
Q: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, prov... | They picked it up and took it home and called the kitten Scamp. | 7 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.010663105174899101,
0.13035345077514648,
-0.015647130087018013,
-0.05175486579537392,
-0.4486083388328552,
-0.7798647880554199,
-0.38934484124183655,
0.6656104922294617,
-0.022938312962651253,
-0.10561592876911163,
-0.18960492312908173,
0.215285986661911,
-0.16773992776870728,
-0.0178583... |
Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial su... | wireless | 3 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.7040417194366455,
0.07201065868139267,
-0.3338252305984497,
-0.5782675743103027,
0.3142573833465576,
0.664934515953064,
-0.26317736506462097,
0.29009491205215454,
-0.07998065650463104,
0.4726157784461975,
-0.025138184428215027,
0.4669423997402191,
-0.519503116607666,
-0.7129127979278564... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: Consider Input: How does bass drum does not sound?, Context: It is still possible for two sounds of indefinite pitch to clearly be higher or lower than one another. For instance, a snare dru... | Output: Conseil d'État
| 2 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.909500002861023,
0.6139153242111206,
0.18208461999893188,
0.0030095335096120834,
0.9742429256439209,
-1.1085915565490723,
0.46086782217025757,
0.5797605514526367,
-0.22799552977085114,
0.37253522872924805,
0.18300461769104004,
0.5753383636474609,
-0.5906519293785095,
-0.14366072416305542... |
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 underscores). Triplet values encompassed in [*] are special tokens that can ... | _____ has the abbreviated form Abh. Math. Semin. Univ. Hambg. It also has the LCCN number _____ and the CODEN code AMHAAJ.
| 0 | NIv2 | task1407_dart_question_generation | fs_opt | [
-0.11162291467189789,
-0.34922489523887634,
-0.20627115666866302,
-0.22732770442962646,
0.42061832547187805,
0.057142600417137146,
0.6757445931434631,
0.5365151166915894,
-0.5794883966445923,
0.1856737732887268,
-0.3787515163421631,
0.8622300028800964,
-0.3293215334415436,
0.33251270651817... |
Q: 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 corre... | holding where 1 the government provided the defendant with all the necessary drugmaking materials 2 the government provided instructions on how to make the drugs and 3 the defendant sought out the materials and help from the undercover government agents the case set the outer limits to which the government may go in th... | 7 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
-0.1670275777578354,
0.48811376094818115,
0.2045895755290985,
-0.009957315400242805,
0.4983145296573639,
-0.7948147654533386,
0.46286556124687195,
1.2860243320465088,
-0.49447745084762573,
-0.20155492424964905,
-0.7166012525558472,
0.4483199715614319,
-0.7093997597694397,
-0.02511450834572... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Part 2. Example
ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Answer: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Explanation: The Farsi sentence... | 何故そうなったのでしょうか ？ | 7 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.36121949553489685,
1.1957628726959229,
-0.41219601035118103,
0.06963693350553513,
-0.4127267897129059,
-0.07177260518074036,
1.1938154697418213,
0.280662477016449,
0.20968753099441528,
-0.7372309565544128,
-0.9955575466156006,
0.2664515972137451,
-1.1153004169464111,
0.21293245255947113,... |
Given the task definition and input, reply with output. Given a sentence in the Sinhala language, translate it into the English language.
වම් කර්ණිකාව පුප්ඵුසීය ශිරා හතරෙන් එකක් මගින් පෙනහැලි සිට එන ඔක්සිජනීකෘත රුධිරය ලබා ගනියි.
| left atrium will receive oxygenated blood from the lungs through one of the four pulmonary veins | 5 | NIv2 | task601_flores_translation_sntoen | zs_opt | [
-1.1695239543914795,
0.8868086934089661,
-0.3709867000579834,
-0.5219607353210449,
-0.32345548272132874,
0.10662773251533508,
-0.5094013214111328,
1.001045823097229,
1.0862733125686646,
0.26583606004714966,
0.3744519352912903,
-0.03606005385518074,
0.3891526758670807,
-0.4579692780971527,
... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 如果你想种植工具,你应该有一个花园。 | 0 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.3709930181503296,
0.40837669372558594,
-0.3601035475730896,
-0.22017958760261536,
-0.2580893635749817,
-0.47568848729133606,
-0.24486328661441803,
0.9132128953933716,
0.0522332638502121,
-0.07819619029760361,
-1.1296498775482178,
-0.03575800359249115,
-0.39214831590652466,
0.91753578186... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
One example is below.
Q: a georgian inscription around the drum attests his name.
A: there is a georgian inscription around the drum to confirm his... | boorowa is agricultural city in the austral. | 9 | NIv2 | task934_turk_simplification | fs_opt | [
-0.049700044095516205,
0.8075730800628662,
0.015015161596238613,
-1.4346513748168945,
-0.12368687987327576,
-1.521228551864624,
1.097989559173584,
0.37748029828071594,
-0.3086027503013611,
-0.3555043935775757,
-0.4131247401237488,
0.3815196752548218,
-0.35388025641441345,
-0.00503592472523... |
Teacher: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 ... | UH | 6 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.1557513177394867,
0.03524176776409149,
0.11830060184001923,
0.15068340301513672,
-0.05909455195069313,
-0.5808217525482178,
0.6803783178329468,
0.9966079592704773,
-0.46329203248023987,
-0.2813085913658142,
-0.21083779633045197,
0.44033026695251465,
-0.4527605175971985,
-0.1811426281929... |
Given the task definition and input, reply with output. In this task you are given a disfluent question, a proper question and a context. A disfluent question is a question that has some interruptions in it while framing and a proper question is the correct form of the question without any disfluency. Classify whether ... | No | 5 | NIv2 | task1624_disfl_qa_question_yesno_classification | zs_opt | [
-0.19288742542266846,
0.4323323369026184,
-0.23792695999145508,
0.4932287335395813,
0.3802659809589386,
0.2055654078722,
-0.31548747420310974,
0.6796426177024841,
-0.06337423622608185,
0.4384715259075165,
-0.5235856771469116,
-0.18547633290290833,
-0.35008561611175537,
-0.34619542956352234... |
Part 1. Definition
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.
Part 2. Example
System Reference: there is a chinese restaurant on x called x.
Original Reference... | 0 | 7 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.1772916615009308,
0.825498104095459,
-1.0138071775436401,
-0.1456858068704605,
-0.5776171088218689,
-0.0027144253253936768,
1.2601717710494995,
0.3250989019870758,
-0.23370829224586487,
-0.5619341135025024,
-0.2839833199977875,
-0.055032532662153244,
-0.35409417748451233,
-0.05870814621... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
--------
Question: Context: When is a person considered an adult? That depends. Most teens become physically mature by the age of 16 or s... | conservative party
| 7 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
1.8555634021759033,
0.29556339979171753,
-0.610960066318512,
-0.23234525322914124,
0.007173294201493263,
-0.3322971761226654,
1.0786021947860718,
0.5684218406677246,
0.17634758353233337,
-0.01414966955780983,
0.07086975872516632,
0.9403846263885498,
-0.9356544017791748,
-0.1120170503854751... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Temos sido capazes de ver os nervos das expressões faciais, do movimento fácil, da respiração - qualquer que seja o nervo - nervos da função urinária que rodeiam a próstata.
Siamo stati grado di vedere i nervi dell'e... | Lo stress ci dà accesso ai nostri cuori,
| 0 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.22069001197814941,
0.731606125831604,
-0.4873521625995636,
-0.6421037912368774,
-0.9855306148529053,
0.25115740299224854,
0.13711950182914734,
0.879086971282959,
0.8519054651260376,
-0.7704071998596191,
-0.5231201648712158,
0.4237212538719177,
-0.6767027974128723,
0.1419583112001419,
... |
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.
Let me give you an example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
The answer to this example c... | V, b, A, 6971, K, 4437, U, 1801, S, 7621, V, 5165 | 8 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.15573397278785706,
0.4019416570663452,
-0.6264427900314331,
-0.6468619108200073,
-0.12761104106903076,
-0.28309565782546997,
0.7189916372299194,
0.008911579847335815,
0.02625684067606926,
-0.053736019879579544,
-0.6940097808837891,
0.25277453660964966,
0.19734951853752136,
-0.19438941776... |
Given the task definition, example input & output, solve the new input case.
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 ... | snoop dog be a bosten tarrier he be very loud every night he would not stop bark how will i sleep | 1 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.5176129341125488,
1.698230504989624,
0.014475527219474316,
-0.2433687001466751,
-0.18169966340065002,
-0.07128577679395676,
0.23014067113399506,
0.5777810215950012,
-0.28410643339157104,
-0.3568776845932007,
-0.22211138904094696,
0.42660829424858093,
-0.3853341042995453,
-0.530425429344... |
Teacher:You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambi... | fear | 6 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.8861991763114929,
0.19459012150764465,
0.4582821726799011,
-0.6285936832427979,
-0.3419497013092041,
-0.11751527339220047,
0.2687312066555023,
0.8292065858840942,
-0.03541243076324463,
-0.36088255047798157,
-0.41575679183006287,
-0.16873697936534882,
-0.37265288829803467,
-0.03812984377... |
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