inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | CNN
| 7 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.09002664685249329,
0.5909100770950317,
-0.2907102704048157,
0.32750028371810913,
0.38537368178367615,
-0.34238672256469727,
1.3155686855316162,
0.5929402112960815,
0.3140912353992462,
0.14484062790870667,
-0.32309070229530334,
0.913608193397522,
-0.39768657088279724,
0.6401033997535706,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Let me give you an example: Wszystko jest robione pomiędzy żebrami.
The answer to this example can be: 全て肋骨の間から行うのです
Here is why: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.
... | そんなことでは必要な人数の科学者技術者専門家は育たないと言う見解があることも知っています | 8 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
0.04791030287742615,
0.7695263624191284,
-0.260151207447052,
0.040037937462329865,
-0.17131464183330536,
-0.34664392471313477,
0.7928205728530884,
-0.4928911328315735,
-0.5830504894256592,
-0.5826097130775452,
-0.00248472997918725,
0.553601861000061,
-0.5329866409301758,
0.8006315231323242... |
Given the task definition and input, reply with output. 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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | No | 5 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.20855116844177246,
0.16633810102939606,
0.5524685382843018,
0.005165852140635252,
-0.2434765100479126,
-0.8137755990028381,
1.1602928638458252,
0.5025554895401001,
-0.4194326400756836,
-0.37309932708740234,
-0.3106001615524292,
0.01546536572277546,
-0.8358715772628784,
0.369351983070373... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A man is outside playing golf.
****
| 4 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.5025293231010437,
0.5750163197517395,
-0.7469049692153931,
-0.12385620176792145,
-0.25514957308769226,
-0.8415719270706177,
0.6332795023918152,
0.3454701006412506,
0.1825006604194641,
-0.6104916334152222,
-0.4928268492221832,
0.39090055227279663,
-0.3706107437610626,
-0.214255690574646,... |
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. Similarly, the user may ask details of the place suggeste... | You want to find a continental restaurant. You don't care about the price range. Make sure you get the address and postcode. | 8 | NIv2 | task1499_dstc3_summarization | fs_opt | [
0.6643580198287964,
0.32576075196266174,
-0.4370599389076233,
-0.25948667526245117,
0.35797566175460815,
-0.5639642477035522,
0.657462477684021,
0.7698144912719727,
-0.32122790813446045,
-0.04971214011311531,
0.7925518155097961,
0.06221570074558258,
-0.38398829102516174,
0.2434051036834716... |
Teacher: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, ... | Y | 2 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.6782405376434326,
0.3831433057785034,
0.3237001895904541,
-0.5795968770980835,
0.06320644915103912,
-0.15324172377586365,
0.1325853168964386,
0.6157547235488892,
0.2848626971244812,
-0.26630711555480957,
-0.5549002885818481,
0.14433982968330383,
-0.6680240631103516,
-0.503432035446167,
... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
--------
Question: Sentence: I would suggest xname because it is affordable and a Fre... | familyFriendly[no], location[riverside], cuisine[Indian]
| 7 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.2760326862335205,
0.4223043918609619,
-0.25582942366600037,
-0.32325443625450134,
-0.10487906634807587,
0.21439439058303833,
0.45864394307136536,
0.45889392495155334,
0.6597598791122437,
-0.2311122715473175,
0.9465632438659668,
-0.2259543240070343,
-0.29673710465431213,
-0.5808996558189... |
TASK DEFINITION: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
PROBLEM: کوتوله ها تبدیل به ستون شدند.
SOLUTION: Los enanos se convirtieron en columnas.
PROBLEM: می خواستم عکسی بسازم که تعداد واقعی آمریکایی هایی که به خاطر سیگار مردند را نشان بدهم.
SOLUTION: Quer... | Mientras conversaba con los arquitectos locales Urban-Think Tank me hablaron de la Torre de David, un edificio de oficinas de 45 pisos situado justo en el centro de Caracas.
| 8 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
0.06582355499267578,
0.46403324604034424,
-0.25719743967056274,
-0.5257745981216431,
-0.7213032841682434,
-0.20676714181900024,
0.7290689945220947,
0.46209537982940674,
0.28555697202682495,
-0.1089240312576294,
-0.38582804799079895,
0.11132855713367462,
-0.4730771780014038,
0.4873497188091... |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited... | Sada kada nam se to sve dogodilo, i imamo sve ove podatke ovdje koji nam govore kako je bolje imati raznolikost oko stolova za kojima se donose odluke, hoćemo li vidjeti poslovnu i financijsku promjenu? | 9 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.4930613338947296,
0.47144830226898193,
-0.2755889296531677,
0.14376485347747803,
0.1577812135219574,
-0.7356823682785034,
0.3020983636379242,
0.13021686673164368,
0.1465141922235489,
-0.3326563835144043,
0.13046328723430634,
0.1916193813085556,
-0.5315775871276855,
0.002709842287003994,... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: تا زمان وقوع جنگ داخلی در سومالی در دهه ۸۰ میلادی ، امدادگران گاهی قربانی چیزی می شدند که به آن آسیب های موازی می گوییم. اما عموما ما هدف این قبیل حملات نبودی... | Fin dall'inizio della guerra civile in Somalia negli ultimi anni '80, gli operatori umanitari erano a volte vittime di ciò che chiamiamo danni collaterali, ma in generale non eravamo l'obiettivo di quegli attacchi. | 6 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.6259130239486694,
0.41743630170822144,
-0.08743564784526825,
-0.797425389289856,
-0.5986735820770264,
0.16670721769332886,
0.8189400434494019,
0.8664442300796509,
0.09254782646894455,
-0.395862877368927,
-0.2369672954082489,
0.7799396514892578,
-0.5516990423202515,
-0.15444877743721008,... |
Q: 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 det... | No | 7 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.42014238238334656,
0.31524890661239624,
0.2803330421447754,
-0.03584258258342743,
-0.5621736645698547,
-1.0350868701934814,
1.1458982229232788,
0.1694289594888687,
-0.7481299638748169,
-0.5253598093986511,
-0.486393004655838,
-0.43603289127349854,
-0.5872092843055725,
0.4724816083908081,... |
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.
Example Input: Mas malaki pa sana ang naitatala nilang kabuuan kung hindi sila nabigo noong huling mga pagkakataon sa pagpalo.
Example Output: 後の... | ベーティは、1928年に、カーライルのブランプトンで生まれ、かつては腹話術師だった。
| 3 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.32657289505004883,
-0.21647876501083374,
-0.5688649415969849,
-0.4248453974723816,
0.2615543603897095,
-0.6536107063293457,
0.8058942556381226,
0.48257192969322205,
-0.2011774629354477,
-0.34818142652511597,
-0.93145352602005,
0.2954535186290741,
-0.6802176237106323,
0.33994558453559875... |
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 'ADJ'... | INTJ | 4 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.9075229167938232,
0.19271352887153625,
-0.017537489533424377,
0.13979685306549072,
-0.0425514355301857,
-0.8742059469223022,
0.8457657098770142,
0.7232469320297241,
-0.4540167450904846,
-0.2155407965183258,
-0.5010086297988892,
-0.04066237807273865,
-0.5459875464439392,
0.570156991481781... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | formal
| 0 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.08334185183048248,
0.494834303855896,
-0.5595064163208008,
0.6758272051811218,
0.3543241024017334,
0.1278991401195526,
0.343858540058136,
0.8702412843704224,
-0.26322051882743835,
0.5290787220001221,
-0.4212404191493988,
0.37524890899658203,
0.059203729033470154,
0.6354208588600159,
0.... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Input: Consider Input: Ale musieliśmy to zrobić.
Output: Mas tínhamos de o fazer.
Input: Consider Input: To aktualny czas dla Kentucky.
Output: A mesma hora no Kentucky.
Input: Consider Input: Słowniki często definiu... | Output: Na verdade, se olharmos para o dicionário, muitos dicionários definem perseguir como "" tentar apanhar com hostilidade "". Perseguimos felicidade com hostilidade?
| 2 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.5869329571723938,
1.3593475818634033,
-0.31286191940307617,
-0.043992117047309875,
-0.6150246262550354,
-0.5660107135772705,
0.26781532168388367,
-0.15139628946781158,
0.42451003193855286,
-0.1435190737247467,
-0.6171389818191528,
0.2854631841182709,
-0.2932353913784027,
0.1557047963142... |
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 count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Input: ['S', 'X', 'b', 'E', 'u', '6593', '333', '5497']
Output: | 3 | 2 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.14709144830703735,
0.3426204323768616,
-0.5147191286087036,
-0.2378302812576294,
0.1353306621313095,
-0.13521844148635864,
0.14112229645252228,
0.22657954692840576,
0.013699643313884735,
0.6708265542984009,
-0.3815637230873108,
0.4512702226638794,
0.3897706866264343,
-0.2646729052066803... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | formal | 0 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.4195881187915802,
0.38678473234176636,
0.13684353232383728,
-0.7269207239151001,
-0.4161268472671509,
-0.44907575845718384,
0.8643459677696228,
-0.030617615208029747,
0.16178640723228455,
-0.11392824351787567,
-0.22254326939582825,
-0.31549888849258423,
-0.50566166639328,
0.343719542026... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
One example is below.
Q: [73.059... | [-17] | 9 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.16996388137340546,
0.9961971044540405,
-0.06133713573217392,
-0.8043428659439087,
-0.24948224425315857,
-0.7476024627685547,
1.0967057943344116,
0.42438748478889465,
0.07200673222541809,
0.0730036050081253,
-0.35355785489082336,
0.21361380815505981,
-0.0980873852968216,
-0.1011359989643... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Example input: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID و رمز عبو... | not-paraphrase | 3 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.5603424310684204,
0.47679540514945984,
0.05333883315324783,
-0.27336037158966064,
-0.9387704730033875,
-0.4365459680557251,
1.916412353515625,
0.7163999676704407,
0.11951075494289398,
-0.3384224772453308,
-0.5310289859771729,
-0.55376797914505,
-0.5457638502120972,
0.09309503436088562,
... |
Given the task definition and input, reply with output. This task is about translating a given French language sentence to English.
De ce point de vue, les ailes des abeilles pourraient tout aussi bien être les ailes de la plante.
| From the point of view of the plant DNA the bees' wings might as well be plant wings. | 5 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.6184936165809631,
1.233546257019043,
0.11742480844259262,
0.16627532243728638,
0.04384417459368706,
-0.7252935171127319,
0.13034802675247192,
0.5140539407730103,
0.08985208719968796,
-0.10850121080875397,
-0.6711297035217285,
0.6025496125221252,
-0.46715354919433594,
0.2243771255016327,... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Q: Os respostas de fuxida ou loita liberan adrenalina, a cal levanta as nosas defensas ate o ceo.
A: | תגובת הבריחה-או-לחימה משחררת אדרנלין, שמגביה את החומות עד לשמיים. | 9 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.49568605422973633,
0.592448353767395,
-0.31726330518722534,
-0.7827928066253662,
-0.5553394556045532,
-1.0347206592559814,
0.4159175753593445,
0.8250483870506287,
0.3205537796020508,
-0.4619870185852051,
-0.8510464429855347,
-0.2733052968978882,
-2.089062213897705,
0.1264098733663559,
... |
Teacher:In this task, you need to replace a letter in the sentence with another given letter.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'people at and around a table with wine glasses'. Replace the letter 't' with 'k' in the sentence.
Student: | people ak and around a kable wikh wine glasses | 6 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.49398672580718994,
1.0877679586410522,
-0.48797208070755005,
-0.7442616820335388,
-0.16593918204307556,
-0.451968252658844,
-0.20286931097507477,
0.3991372585296631,
0.9353715777397156,
-0.09137117862701416,
0.8142147064208984,
-0.6081002950668335,
-0.46775829792022705,
-0.1251273006200... |
Q: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:It works either. Intent:. XEmotion:
A: | satisfied | 7 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.36540234088897705,
0.3446534276008606,
0.17862582206726074,
-0.2093506157398224,
-0.7799832820892334,
-0.6791375875473022,
1.0170563459396362,
0.5101351737976074,
0.3560327887535095,
-0.38383299112319946,
0.4625283479690552,
-0.05232314020395279,
-0.505691647529602,
0.22805435955524445,
... |
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.
Q: Given Relationship: 'be signatory of', Sentence: 'Iran is signatory to NPT but its civilian nuclear programme of enrichment of Uranium is raising suspicion in ... | signatory | 4 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
0.0952448695898056,
1.3682163953781128,
0.656428337097168,
-0.20923930406570435,
-0.709922730922699,
-0.33802199363708496,
1.0243921279907227,
0.6558133959770203,
0.5243903398513794,
-0.39423805475234985,
-0.6236802339553833,
0.2047901749610901,
-1.0726321935653687,
-0.014332175254821777,
... |
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... | [-28, -12168, 240, -220, 4, -1020, 0, 40, 0, 0, 38896, -63536, 50, 1728]
| 0 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
-0.312414288520813,
0.023621469736099243,
-1.0709450244903564,
0.22538810968399048,
-0.22591149806976318,
-0.4304550290107727,
0.9337934255599976,
0.7051509618759155,
-0.6162137985229492,
-0.33623430132865906,
-1.0671720504760742,
0.32518064975738525,
-0.5060693025588989,
-0.46271574497222... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: CA: In quale formato?
Student: | كريس أندرسون: بأي نظام ؟ | 6 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.3364509344100952,
0.5099984407424927,
0.07959219813346863,
-0.705997109413147,
-0.5969514846801758,
0.3028101325035095,
0.33938372135162354,
0.6340427398681641,
-0.004447578452527523,
-0.02174602448940277,
-0.09907971322536469,
-0.3954348862171173,
-0.4577594995498657,
-0.65424650907516... |
Given the task definition and input, reply with output. In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is ... | [{'first': -89, 'second': 29}, {'first': -84, 'second': -77}, {'first': 39, 'second': 27}, {'first': 58, 'second': -16}] | 5 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.46680933237075806,
0.3699392080307007,
0.0010520500363782048,
-0.19214922189712524,
0.25490179657936096,
-0.05351678282022476,
0.1867811381816864,
0.06654161214828491,
0.4292706847190857,
-0.6016882658004761,
-0.8692183494567871,
-0.4504505395889282,
-0.6615726947784424,
-0.068225026130... |
Teacher: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 t... | Yes | 6 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.6074557304382324,
0.18856586515903473,
0.18258211016654968,
-0.3142905831336975,
-0.5633665323257446,
-1.0494014024734497,
1.2978301048278809,
0.3570809066295624,
-0.5142389535903931,
-0.5460259914398193,
-0.46153923869132996,
-0.20940092206001282,
-0.8955062627792358,
0.3473159968852997... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True | 4 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
0.27632009983062744,
0.5516826510429382,
-0.3185291290283203,
-0.783238410949707,
-0.23002800345420837,
-0.15483300387859344,
0.6020996570587158,
1.1284855604171753,
0.20982423424720764,
-0.05498741567134857,
-0.8475647568702698,
0.40891847014427185,
-0.21549169719219208,
0.148885190486907... |
Detailed Instructions: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' ... | 28792761 | 8 | NIv2 | task1443_string_to_number | zs_opt | [
-0.4658552408218384,
1.368356704711914,
-0.4498288631439209,
-1.1868793964385986,
-0.4322834014892578,
-0.6084635257720947,
0.8088818192481995,
0.26259613037109375,
-0.0789395123720169,
-0.5003735423088074,
-0.3632116913795471,
0.5875759124755859,
-1.2485073804855347,
-0.25565606355667114,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
[EX Q]: É a do lado da recepção. Tem a ver com o modo como obtemos a informação e como reunimos as notícias.
[EX A]: tylko zdobywania informacji. Jak zdobywamy i gromadzimy wiadomości.
[EX Q]: Foi incrivelmente renhi... | Musimy zacząć działać, tak jak Lula, prezydent Brazylii.
| 6 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.9775224924087524,
0.9258702993392944,
-0.05420243740081787,
-0.11793332546949387,
-0.8702516555786133,
-0.15678763389587402,
0.6653182506561279,
0.14502975344657898,
0.39814847707748413,
-0.5587223172187805,
-0.6586328148841858,
0.08634735643863678,
-0.48930782079696655,
0.9160581827163... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Ex Input:
Passage: By the 1920s, SCGX was doub... | Answer: 13
| 1 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.47826123237609863,
0.49313175678253174,
-0.8577481508255005,
0.6467458009719849,
0.33417725563049316,
-0.8048028945922852,
0.8999822735786438,
1.0242762565612793,
-0.43374931812286377,
-0.07074518501758575,
-0.5826926231384277,
0.08157733082771301,
-0.8448007106781006,
-0.299957960844039... |
Teacher:You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be ... | Connor was having kidney trouble, so he cut down on his smoking and his alcohol intake, and he felt like cutting the _ helped his breathing too. | 6 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.5879127979278564,
0.32565099000930786,
0.2665788531303406,
-0.049330323934555054,
0.44264113903045654,
-0.7302868366241455,
0.5120129585266113,
1.2715418338775635,
-0.45502352714538574,
-0.3988395929336548,
-0.20779800415039062,
0.3130199909210205,
-0.3842107653617859,
0.0059953010641038... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Q: Due to health issues, my husband is newly required to eat a gluten ... | 1
****
| 4 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.06369016319513321,
0.007704537827521563,
0.01995144970715046,
0.23782384395599365,
0.7900475263595581,
-0.6690880656242371,
0.9393413066864014,
1.1826679706573486,
-0.07322277128696442,
0.3292771577835083,
-0.4086901545524597,
-0.49144160747528076,
-0.7039779424667358,
-0.48910677433013... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
[EX Q]: PersonX regrets PersonY's decision
[EX A]: he is disappoi... | to be wary of deception
| 6 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.28272169828414917,
0.5574984550476074,
0.21135279536247253,
-0.3439376652240753,
-0.37422797083854675,
-0.70022052526474,
0.9659275412559509,
0.4855191111564636,
0.04355023056268692,
-0.1893087774515152,
0.1438714861869812,
0.19504493474960327,
-0.7504169344902039,
0.13844852149486542,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Recombinant 5 - lipoxygenase was not affected by the peptide .
| 5 - lipoxygenase | 5 | NIv2 | task1480_gene_extraction_jnlpba_dataset | zs_opt | [
-0.37936583161354065,
0.5591506958007812,
-0.1960686892271042,
-0.20914503931999207,
-0.3870367705821991,
-0.7218809723854065,
0.614037275314331,
0.10995635390281677,
-0.336025595664978,
-1.0447521209716797,
-1.1569585800170898,
-0.11742652952671051,
-0.61358642578125,
-0.06896524131298065... |
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, 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 ... | A sad girl in a plaid shirt is sitting on a print couch in the middle of a store. | 1 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.3973124921321869,
0.3747577667236328,
0.17381709814071655,
0.008647803217172623,
0.5814447402954102,
-0.3418017029762268,
0.03523021191358566,
0.3494560122489929,
0.1780281364917755,
-0.3874495327472687,
-1.2473461627960205,
-0.877755343914032,
-0.047877173870801926,
-0.6611050963401794... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Example: E eu continuo a pensar que o transporte é o centro deste universo.
Example solution: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Example explanation: The Portugese sentence is correctly translated into... | Solution: معتقدم که خیلی زود ساختمانها و ماشین هاي ما خودشان را گردآوري می كنند ، خودشان را تقليد و تعمیر می کنند. | 5 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.3750307857990265,
0.8923143744468689,
0.34510529041290283,
0.1875489354133606,
-0.675152063369751,
-0.30832698941230774,
0.6871163845062256,
0.5437299013137817,
0.13038791716098785,
0.10507090389728546,
-1.2758252620697021,
0.6477246284484863,
-0.4208950996398926,
0.8958619832992554,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: finished by ad 8 , possibly published posthumously.
Student: | completed by ad 8 , likely published after death. | 6 | NIv2 | task934_turk_simplification | zs_opt | [
-0.7639869451522827,
0.19919458031654358,
0.3997853100299835,
-1.5273469686508179,
-0.06721499562263489,
-0.014320739544928074,
0.33460959792137146,
0.5521815419197083,
-0.37815141677856445,
-0.9493215084075928,
0.07693654298782349,
-0.21684785187244415,
-0.3502746820449829,
0.287518978118... |
Part 1. Definition
You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not g... | D | 7 | NIv2 | task073_commonsenseqa_answer_generation | fs_opt | [
0.460945725440979,
0.7089027762413025,
-0.6934957504272461,
-0.038620129227638245,
-0.053905196487903595,
-0.28455618023872375,
0.6983718872070312,
-0.13309884071350098,
0.18707986176013947,
-0.3055049777030945,
-0.3725820779800415,
0.4571879506111145,
0.0004577701911330223,
-0.39388340711... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Yes
| 5 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.19997580349445343,
0.20082572102546692,
-0.7962305545806885,
0.13329282402992249,
-0.359360009431839,
-0.6530212163925171,
0.27612221240997314,
1.0827975273132324,
-0.3781468868255615,
-0.3193303644657135,
0.024659335613250732,
0.10356453061103821,
-0.4216158986091614,
-0.31492811441421... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sent... | I say Something that makes him jealous >Causes> He feel(s) jealous | 2 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.1938672959804535,
0.3324427604675293,
-0.08204688876867294,
-0.5068565011024475,
0.1043345034122467,
-0.9873116612434387,
0.5149072408676147,
0.7163268327713013,
-0.37490978837013245,
-0.0033553752582520247,
-0.026279838755726814,
0.7339537143707275,
-0.6586443781852722,
-0.4800272285938... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disea... | Since we know so little about the molecules regulating vertebrate myocyte fusion, we propose that the mylpfa:H2B-GFP transgene will be a very useful reporter for conducting forward and reverse genetic screens to identify new components regulating vertebrate myocyte fusion. | 1 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.18991132080554962,
0.3383117616176605,
-0.5138295292854309,
-0.03658138960599899,
0.8244723081588745,
0.03576017543673515,
0.10925041884183884,
0.6226188540458679,
-0.19262364506721497,
-0.17898955941200256,
-0.28115391731262207,
0.062156107276678085,
-0.6221921443939209,
0.5662884712219... |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Maar hoe landen hun gezondheidszorgsysteem – en hun sam... | Mas como os países estruturam os seus sistemas de saúde – e as suas sociedades – faz uma diferença enorme em termos de resultados. | 4 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.35608139634132385,
0.7707829475402832,
0.11585673689842224,
-0.5572287440299988,
-0.2405635565519333,
-0.3898387849330902,
-0.02853729948401451,
0.7608643770217896,
0.22660402953624725,
-0.3468545079231262,
-0.9763054251670837,
0.7023292183876038,
-0.39287978410720825,
0.143965959548950... |
Part 1. Definition
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Part 2. Example
A man is spreading shreded cheese on a pizza.
Answer: Un bărbat pune brânză mărunțită pe o pizza.
Explanation: In the given translation process, th... | A refuzat să spună ce procent din zborurile interne avea ofițeri de securitate la bord. | 7 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.35799944400787354,
0.7231459617614746,
0.45942965149879456,
-0.6151820421218872,
0.14787277579307556,
0.13330838084220886,
1.15931236743927,
0.7562905550003052,
0.7123688459396362,
0.09403930604457855,
-0.5163024663925171,
0.7688994407653809,
-0.5315347909927368,
-0.22745919227600098,
... |
instruction:
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
question:
Especially give credit to Affleck .
answer:
POS
question:
Captivates and shows how a skillf... | POS
| 9 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.8660117387771606,
-0.12162886559963226,
0.5079050064086914,
-0.050729382783174515,
0.4831961691379547,
-0.902350127696991,
1.4562259912490845,
-0.08440458029508591,
0.34791287779808044,
0.27288007736206055,
-0.5068825483322144,
-0.7381323575973511,
-0.3476409912109375,
-0.06538514792919... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Q: Personality: My dad works in the automotive industry.
Mom in telecommunications.
I dream o... | Yeah, bring as many people as possible, we will throw a concert! | 4 | NIv2 | task1730_personachat_choose_next | zs_opt | [
0.031264424324035645,
-0.05133828520774841,
-0.8106592297554016,
0.11565594375133514,
0.42063987255096436,
0.2054612785577774,
0.8614333271980286,
0.4674859046936035,
-0.5338320732116699,
-0.27009984850883484,
-0.10645270347595215,
0.17927010357379913,
-0.24873657524585724,
-0.141206994652... |
Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: A digital parking sign instructs t... | English | 3 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.9380810856819153,
0.344780296087265,
0.7132046818733215,
-0.34851378202438354,
0.034748200327157974,
-0.6423712372779846,
0.2023351788520813,
0.10131904482841492,
0.18623673915863037,
-0.027493402361869812,
-0.18435268104076385,
0.07102476060390472,
-0.13993099331855774,
-0.412623286247... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | Who was older when Heitler obtained his doctorate, Arnold Sommerfeld or Karl Herzfeld? | 8 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.10198022425174713,
0.7521439790725708,
-0.4636160135269165,
-0.26937630772590637,
0.24948766827583313,
-0.457977294921875,
0.5269525647163391,
0.6447396874427795,
0.37907254695892334,
0.006182787008583546,
-0.5952329635620117,
0.05232466384768486,
-0.5106273293495178,
0.19583866000175476... |
Teacher:In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs... | False | 6 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.23731443285942078,
0.02692570723593235,
0.10105762630701065,
-0.02076585218310356,
0.4111558794975281,
-0.298708975315094,
1.1744542121887207,
0.7720164060592651,
0.1679564267396927,
0.5731199979782104,
-0.45907092094421387,
-0.11706922948360443,
-0.8108737468719482,
-0.0520230680704116... |
Detailed Instructions: 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 rel... | phytochemical | 4 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.24596276879310608,
0.451968252658844,
0.11790357530117035,
0.16095559298992157,
-0.20483914017677307,
-0.4934704899787903,
-0.41860833764076233,
0.17774368822574615,
0.5082599520683289,
-0.5499408841133118,
-0.8398717641830444,
0.19073402881622314,
-0.29287153482437134,
0.26414376497268... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Input: E o oposto, as pessoas que vão a correr fazer tudo estão num tal frenesim de ansiedade que também não têm pensamentos originais.
Output: | No polo oposto, os que van a todo correr padecen de tal ansiedade que tampouco teñen pensamentos orixinais. | 2 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.3915991187095642,
0.9804428815841675,
-0.4011923372745514,
-0.29963910579681396,
-0.23404167592525482,
-0.026117786765098572,
-0.16654625535011292,
0.6994450092315674,
0.5199328660964966,
-0.4669039845466614,
-1.6734216213226318,
0.1463756263256073,
-0.5389546155929565,
0.38281956315040... |
Detailed Instructions: This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Problem:In Rallentamento la “Nuova Nor... | 中国的减速新常态 | 8 | NIv2 | task1376_newscomm_translation | zs_opt | [
-0.5518199801445007,
0.6829906105995178,
-0.4781092405319214,
0.4587922692298889,
-0.33196771144866943,
0.047744300216436386,
0.08776021003723145,
1.0224136114120483,
-0.2233547419309616,
-0.3580944538116455,
-0.7128077149391174,
-0.07772047072649002,
0.09270874410867691,
0.006226354278624... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Input: Tit... | 32541 | 3 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.2816368341445923,
0.29678964614868164,
0.24287080764770508,
-0.93275386095047,
-0.3705345094203949,
0.20228612422943115,
0.3713170289993286,
1.0088016986846924,
0.2495194375514984,
0.460603803396225,
-0.9552683234214783,
-0.8634665608406067,
-0.9793336987495422,
-0.2150379717350006,
-... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | residence | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.37020939588546753,
0.570594847202301,
-0.41412296891212463,
0.10470229387283325,
0.06826579570770264,
-0.05154683440923691,
0.7414536476135254,
0.6995250582695007,
0.3137674629688263,
0.10857084393501282,
0.13487863540649414,
1.266672968864441,
-1.3601584434509277,
-0.05803506821393967,
... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Which writer rode Devon Loch in the 1956 Grand National?
Solution: ... | frederic chopin | 2 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.2586975395679474,
0.3816021680831909,
-0.23432552814483643,
-0.4797927737236023,
-0.38296574354171753,
-0.7094954252243042,
0.5512288808822632,
-0.37180569767951965,
0.3901779353618622,
-0.1784665733575821,
-0.5603069067001343,
0.44950661063194275,
0.08828547596931458,
0.2888945341110229... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
See one example below:
Problem: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transporte é o centro deste universo.
Explanation: The Farsi sentence is cor... | Também quer dizer que podemos ir a Marte | 4 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.09691403806209564,
0.7006337642669678,
-0.08756810426712036,
0.09969285875558853,
-0.5806322693824768,
-0.5707060694694519,
0.4034609794616699,
0.448089063167572,
0.08200648427009583,
0.17873971164226532,
-1.0542399883270264,
0.469149649143219,
-0.4189186096191406,
0.5766558051109314,
... |
You will be given a definition of a task first, then some input of the task.
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
where do people often go for their honeymoons
Outpu... | hawaii | 1 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.14072996377944946,
1.171147108078003,
-0.27145546674728394,
-0.8826448917388916,
-0.20661865174770355,
-0.942713737487793,
0.1697382628917694,
-0.28975242376327515,
0.35930413007736206,
-0.8537604212760925,
-0.30381184816360474,
0.29814469814300537,
-0.13012108206748962,
0.1940219551324... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 3
Explanation: Here... | 6 | 6 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.36127033829689026,
0.61662358045578,
-0.04252222552895546,
-0.5147973895072937,
0.19229361414909363,
-0.17209790647029877,
0.49290311336517334,
0.058957289904356,
-0.6796941757202148,
0.18711084127426147,
-0.8083322048187256,
0.1939166933298111,
0.35132765769958496,
-0.2268829345703125,... |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i ... | 16755
| 9 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.308114230632782,
0.14162911474704742,
-0.8581466674804688,
-0.3817864656448364,
-0.08148980140686035,
-0.3187474012374878,
0.8636659979820251,
0.38859739899635315,
-0.37113940715789795,
-0.00670383358374238,
-0.7043329477310181,
0.3349902033805847,
-0.11422865837812424,
-0.05854047089815... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The first two were found unreliable and the prosecution case ... | जब कोई नवीन लोकसभा चुनी जाती है तब राष्ट्रपति उस सदस्य को कार्यवाहक स्पीकर नियुक्त करता है जिसको संसद मे सदस्य होने का सबसे लंबा अनुभव होता है वह राष्ट्रपति द्वारा शपथ ग्रहण करता है | 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.3306238055229187,
0.2656085789203644,
0.18544802069664001,
-0.04319048672914505,
0.04295932501554489,
-0.6556592583656311,
-0.20047542452812195,
0.5054646134376526,
-0.013395726680755615,
-0.03478080779314041,
-0.570804238319397,
-0.07247988879680634,
-0.49286940693855286,
-0.01590158045... |
Q: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: オーストラリア政府会議（CＯＡG）は２００６年の最初の会議のために今日キャンベラに集まる。
Khamer: ពូកអ្នកស្រាវជ្រាវព្យាយាមយកប្រាក់... | No | 7 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.09659595787525177,
-0.2451152205467224,
-0.22649413347244263,
0.08101995289325714,
-0.17316722869873047,
-0.6164131760597229,
0.6941525936126709,
0.474959135055542,
-0.35379302501678467,
-0.43408000469207764,
0.4678659439086914,
0.024211259558796883,
-0.7909066677093506,
0.4806180298328... |
instruction:
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 after the first i elements. i will always have a value less than the length of A.
question:
4, ['Q', '177', '9843', 'i', '5581', 'u', 'c', 'j']
answer:
5581, u, c, j
question:
1, ['30... | 1055, M, 3313, 4347, 9533, 9295, 5235, 4385, O, n, 6811, 5547, P, 4261, 9593
| 9 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.3487911820411682,
0.1837327927350998,
-0.6127221584320068,
-0.503499448299408,
-0.1203589141368866,
-0.6282587647438049,
0.6919702291488647,
0.47614550590515137,
-0.6579979658126831,
0.3884105980396271,
-0.6879187822341919,
0.02113044634461403,
0.0017389083513990045,
0.3150518536567688,
... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
One example: Context: Tracy didn't go home that evening and resisted Ri... | No | 6 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.5285234451293945,
0.3410528302192688,
0.22036504745483398,
0.5313599109649658,
0.0995170921087265,
-0.6341034770011902,
0.481937438249588,
0.4000051021575928,
0.2178935706615448,
0.6688400506973267,
-0.012526019476354122,
-0.13623294234275818,
0.1022055372595787,
-0.32178938388824463,
... |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Example: The woman went to the bank, so pigs can fly.
Example solu... | Solution: not plausible | 5 | NIv2 | task391_causal_relationship | fs_opt | [
-0.8303009271621704,
0.612480103969574,
0.2755783200263977,
-0.2461051642894745,
0.0421956405043602,
-0.425811231136322,
-0.20480482280254364,
0.8786174058914185,
0.4008622467517853,
0.24790121614933014,
-0.6240357756614685,
0.46452072262763977,
-0.36160191893577576,
-0.48651182651519775,
... |
Instructions: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Input: Fact: birds sometimes eat seeds. Question: While robins refuse to eat much aside ... | potato boxes | 3 | NIv2 | task1400_obqa_incorrect_answer_generation | zs_opt | [
-0.1419091820716858,
1.1291266679763794,
0.4076509475708008,
-0.0008658026345074177,
-0.5642048120498657,
-0.6443419456481934,
0.17274048924446106,
0.7341521978378296,
-0.503948450088501,
-0.27557843923568726,
-0.47947588562965393,
-0.3918704390525818,
-1.1601080894470215,
0.16656813025474... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: એક મોટી વિમાનમાં લટકતી પટ્ટામાં ઊભેલા વિમાન.
English: A red stop sign covere... | No | 0 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.0633922815322876,
0.3978016972541809,
0.7524510622024536,
0.018461493775248528,
0.20591135323047638,
-0.5411470532417297,
-0.087235227227211,
0.35383403301239014,
-0.22251713275909424,
-0.2667309045791626,
-0.603905439376831,
0.14972016215324402,
-0.3180324137210846,
0.4460291266441345,... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Example input: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in f... | Randy got stitches in his head and his bike taken away. | 3 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
0.20164361596107483,
1.283731460571289,
-0.14266926050186157,
-0.8310254812240601,
-0.1967402994632721,
-0.845086932182312,
0.5132661461830139,
0.6254387497901917,
0.4947513937950134,
0.1720326691865921,
-0.9490683674812317,
0.37653589248657227,
-0.45304641127586365,
0.2645084857940674,
... |
Teacher:In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Teacher: Now, understand the problem? Solve this instance: Sentence-1: My best friend lives next door.<sep>Sentence-2: I have met the other neighbors .
S... | Yes | 6 | NIv2 | task566_circa_classification | zs_opt | [
-0.7777513265609741,
0.6125417947769165,
0.15337252616882324,
-0.3438414931297302,
-0.14727255702018738,
-0.42848894000053406,
0.34422415494918823,
0.9058451652526855,
0.6649610996246338,
0.15990500152111053,
-0.2740037739276886,
-0.30635136365890503,
-0.7355633974075317,
-0.47909334301948... |
TASK DEFINITION: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
PROBLEM: چه غذاهایی برای فشار خون بالا مضر است؟ <sep> چه غذاهایی برای فشار خون مضر است؟
SOLUT... | not-paraphrase
| 8 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.6469155550003052,
0.4490988552570343,
-0.09987764060497284,
-0.42168158292770386,
-0.8400907516479492,
-0.09584295749664307,
1.9227973222732544,
0.556793212890625,
0.48971861600875854,
-0.5959882736206055,
-0.7457568645477295,
0.006915702484548092,
-0.6141518354415894,
0.284193873405456... |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Part 2. Example
It's sort of the biggest TiVo box you've ever seen.
Answer: To największa nagrywarka, jaką w życiu widzieliście.
Explanation: The English sentence is correctly translated into Polish, becau... | Oboje powinniście iść do więzienia » "". Nigdy nie bałam się rozmawiać z synem o wszystkim. | 7 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
0.04944435879588127,
0.7480781078338623,
-0.07858332991600037,
0.5272972583770752,
0.29337766766548157,
-0.20787188410758972,
0.8730151057243347,
-0.5250464677810669,
0.12645387649536133,
-0.09676983952522278,
0.1388837695121765,
0.590567946434021,
-0.8957862257957458,
0.24169769883155823,... |
Q: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: Ciidanka dowladda ayaa weerar ku qaaday deegaanka Masaajid Cali Guduud oo hoos-taga degmada Cadalle ee gobolka, sida uu Bar-kulan u sheegay guddoomiye ku-xigeenka d... | English | 7 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
-0.05786393582820892,
0.5562745332717896,
0.2614220976829529,
-1.0152130126953125,
0.20204493403434753,
-0.8481037020683289,
-0.10707280784845352,
0.3470049500465393,
0.07750322669744492,
0.08204560726881027,
0.13443928956985474,
-0.5774333477020264,
-0.6374741196632385,
-0.073132574558258... |
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 confuse ... | The street vendor is selling chicken tacos. | 0 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.9785479307174683,
0.4311167597770691,
0.7725502848625183,
-0.3255576491355896,
0.16955655813217163,
-0.22251081466674805,
0.23160392045974731,
0.7051762938499451,
0.1507992446422577,
-0.46432656049728394,
-1.0244051218032837,
-0.9746596217155457,
-0.7030513286590576,
-0.0655727237462997... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Mary lowered a woman the ladder | Mary lowered the ladder to a woman | 0 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.5644146203994751,
1.106253981590271,
0.06816020607948303,
-0.19529587030410767,
0.16693659126758575,
0.009469034150242805,
0.24040749669075012,
0.6106094717979431,
0.1742514967918396,
-0.5307784080505371,
-0.9027654528617859,
-0.5562546253204346,
-0.3367639482021332,
0.15973204374313354... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
One example: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite happy with th... | lasted 2 years and three months for thirty dollars. | 6 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.32792383432388306,
0.12121094763278961,
-0.4337770938873291,
-0.24273233115673065,
0.1665734350681305,
-0.49872153997421265,
1.1858402490615845,
0.32371532917022705,
0.20785461366176605,
0.6942172050476074,
0.04114018380641937,
0.2717295289039612,
-0.5977407693862915,
0.0104950582608580... |
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | No | 9 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.2693413496017456,
0.6170846223831177,
-0.23172137141227722,
-0.10768664628267288,
-0.3277965188026428,
-0.6426989436149597,
0.8770142793655396,
0.14609038829803467,
-0.01478734239935875,
0.2939443588256836,
-0.359480082988739,
0.5987889766693115,
-0.8573978543281555,
0.1538121998310089,
... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Déixenme levalos ao cordal dos Andes, en Chile, a 500 kilómetros, 300 millas, ao nordés de Santiago.
A: | Zabiorę was w Andy do Chile. 500 km na północny wschód od Santiago. | 7 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-1.0139515399932861,
0.6217185258865356,
-0.41368550062179565,
-0.24068957567214966,
-0.5809922218322754,
-0.7450167536735535,
-0.2895914912223816,
-0.4881684184074402,
-0.3162778913974762,
-0.6007260084152222,
-0.3000250458717346,
0.4581984281539917,
-0.5564488172531128,
0.700050234794616... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful | 6 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.372304767370224,
0.33545225858688354,
0.5236450433731079,
0.8297303915023804,
-0.25995588302612305,
-0.7392270565032959,
0.45690810680389404,
1.2702736854553223,
0.5016249418258667,
0.03125712648034096,
-0.40213826298713684,
0.34443455934524536,
-0.20511487126350403,
-0.4875954687595367... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Isto inclúe un sistema en árabe chamado al-jebra.
Solution: Tra di esse, si annovera il piccolo sistema in arabo detto a... | In sostanza abbiamo scoperto che quasi tutto quello che è legato alla fiducia a livello internazionale, è legato alla fiducia anche nei nostri 50 stati su questo banco di prova separato. | 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
0.24411511421203613,
0.7696449756622314,
-0.25245165824890137,
0.06378020346164703,
-0.4072616398334503,
-0.9558868408203125,
0.5386969447135925,
0.9390096068382263,
-0.7807607054710388,
-0.023339826613664627,
-0.09661778062582016,
0.027702992781996727,
-0.7884258031845093,
0.3520403206348... |
Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Input: sbHKEsCWCrWSyDjT, gCRRzdIWCrWSyDVM
Output: | WCrWSyD | 3 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.03156155347824097,
1.3626723289489746,
0.06483607739210129,
-0.1858745962381363,
-0.4299677610397339,
-0.16931238770484924,
0.2808772921562195,
-0.9004349708557129,
0.04501696676015854,
-0.4208071231842041,
-0.25726452469825745,
-0.10349051654338837,
0.027883732691407204,
0.398184716701... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
--------
Question: O Brasil começava a urbanizar-se, a industrializar-se, e eu conhecia a política. Tornei-me um pouco radical. Era membro dos partidos de esquerda e tornei-me ativista.
Answer: Brazil was starting to... | You think that's not an issue going forward?
| 7 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.27900320291519165,
0.21891076862812042,
0.3976210355758667,
-0.21953240036964417,
-0.8359849452972412,
-0.7780977487564087,
-0.5496541857719421,
1.601920485496521,
0.44163280725479126,
0.42015305161476135,
-0.45757877826690674,
-0.3471946716308594,
-0.21813586354255676,
-0.57968711853027... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
One example: Article: Homework can put ... | Yes | 6 | NIv2 | task310_race_classification | fs_opt | [
0.36335769295692444,
0.2893429100513458,
-0.18522459268569946,
-0.12334650754928589,
0.2236563265323639,
-0.22620534896850586,
0.5410495400428772,
0.2774941623210907,
-0.3485340476036072,
0.17577895522117615,
-0.1500372737646103,
0.23797352612018585,
-0.27856767177581787,
-0.05084416642785... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Tenho que voltar a desenhar este mapa de meses a meses, porque alguém descobre que uma data em particular estava errada.
Student: | Devo ridisegnare questa mappa ogni pochi mesi, poiché qualcuno scopre che quella particolare data era sbagliata. | 6 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.3639925718307495,
0.5964045524597168,
-0.39864441752433777,
-0.7784253358840942,
-0.5948883891105652,
-0.549159049987793,
0.6353960037231445,
0.5846058130264282,
-0.39810699224472046,
-0.48300355672836304,
-0.026461273431777954,
0.22577255964279175,
0.13580070436000824,
0.02276584133505... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Example Input: When hitting the volume up/down button you can feel the give in the case and you ... | 1
| 3 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.04132934659719467,
0.0963955968618393,
-0.16370609402656555,
-0.005416616797447205,
0.7682859301567078,
-0.5833449959754944,
0.6249898076057434,
1.2191884517669678,
-0.43575429916381836,
0.8014100790023804,
0.08998625725507736,
0.1710890680551529,
-0.7962713241577148,
-0.4075946509838104... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
One example is below.
Q: ఇల్లు అందంగా ఉంది
A: Telugu
Rationale: The language is Telugu so it is correct.
Q: May 12, 2013
A: | English | 9 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
0.03999283164739609,
1.1506929397583008,
0.495851069688797,
-0.32997825741767883,
0.24450573325157166,
-1.1292304992675781,
0.15196824073791504,
0.2529498338699341,
-0.24033109843730927,
0.06667284667491913,
-0.3102338910102844,
0.16853444278240204,
-0.7068094611167908,
-0.1371411681175232... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Problem:Mais de 85% dos agressores são homens, e a violência doméstica passa-se apenas em relações de intimidade, interdependência e de longa duração, por outras palavras, nas famílias, o último... | Más del 85% de los maltratadores son hombres, y el abuso doméstico solo sucede en relaciones íntimas, interdependientes y de larga duración o, dicho de otra manera, en las familias, el último lugar donde querríamos o esperaríamos encontrar violencia; motivo por el cual, el abuso doméstico resulta tan desconcertante. | 8 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.46301165223121643,
0.8235522508621216,
-0.7504794597625732,
-0.8623857498168945,
-0.42931753396987915,
-0.0013305419124662876,
0.8545939922332764,
1.1924203634262085,
0.5857516527175903,
-0.26990950107574463,
-0.8122216463088989,
0.8661121726036072,
-1.1074410676956177,
-0.2068062424659... |
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 text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that pa... | no | 0 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.0753211975097656,
-0.3488014042377472,
0.7225380539894104,
0.29170095920562744,
0.37892821431159973,
-0.7054455280303955,
0.023863818496465683,
0.4335543215274811,
-0.182991623878479,
0.25176581740379333,
-0.19392962753772736,
-0.4644915759563446,
-0.15468794107437134,
-0.23339289426803... |
Teacher:This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HO... | ¿Quién escribió "China and the Developing World: Beijing's Strategy at the 21st Century"? | 6 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.2626407742500305,
0.1401963233947754,
-0.3414093255996704,
-0.6882293224334717,
0.17462070286273956,
0.31520068645477295,
0.49779242277145386,
0.7805730104446411,
0.24435371160507202,
0.05672048404812813,
-0.17140968143939972,
0.4227803349494934,
-0.6937516331672668,
-0.07988454401493073... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
[EX Q]: و اگر شما آن را درست انجام دهید ، مردم در واقع این تغییر را خواهند پذیرفت و اگر شما آن را درست انجام دهید ، و اگر شما آن را درست انجام دهید ، مردم حتی آن را دوست خواهند داشت.
[EX A]: それが上手くできれば人々は実際変化を受け入れ更にその変化を喜んで... | JH: これらの事例のすべてに共通するのは、自我が少なくなるか、溶け去り、そして気持ちよく、本当に気持ちよくなり、その感じ方は普段の生活とは全く異なるのです。
| 6 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-1.0896978378295898,
0.31967389583587646,
-0.2044246643781662,
-0.3548624515533447,
-0.20148193836212158,
-0.6803621053695679,
0.7518534660339355,
0.6884804368019104,
-0.07604409754276276,
-0.36517757177352905,
-0.5975359082221985,
0.2289622575044632,
0.2578184902667999,
0.0148481540381908... |
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 that law will not permit insured to profit from his own breach of contract when insured disregarded his contractual obligation to cooperate with insurer | 7 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.3988324999809265,
0.45231980085372925,
-0.2747597396373749,
-0.11365853250026703,
0.17940285801887512,
-1.2785531282424927,
0.5245516896247864,
1.417299747467041,
-0.16592322289943695,
-0.09502951055765152,
-0.5850837826728821,
0.7161203622817993,
-0.6572896242141724,
0.07826994359493256... |
You will be given a definition of a task first, then some input of the task.
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the ... | intellect | 1 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.2403946816921234,
0.6964612007141113,
-0.33939415216445923,
-0.9099318981170654,
-0.2462524026632309,
-0.3463953733444214,
1.189337134361267,
0.06669183820486069,
-0.12250636518001556,
-0.37884777784347534,
-0.802618145942688,
-0.18852216005325317,
-0.27641308307647705,
-0.0755387097597... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Example Input: passage: The group winners, Serbia, qualified directly for the 2018 FIFA World Cup. The group runners-up, Republic of Ireland, advanced to the play-... | No
| 3 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.23019137978553772,
0.587363600730896,
-0.41560715436935425,
-0.15319430828094482,
0.17533719539642334,
-0.5919615626335144,
0.47376275062561035,
0.6011703014373779,
-0.8161942362785339,
0.5452467203140259,
-0.1603987067937851,
0.26735931634902954,
-0.4394794702529907,
-0.325225144624710... |
instruction:
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is no... | When did Roman Catholicism become more popular?
| 9 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.8745777606964111,
0.45578914880752563,
-0.6115184426307678,
0.5961515307426453,
0.6984515190124512,
-0.336753785610199,
0.16894853115081787,
1.0019845962524414,
-0.29657649993896484,
0.412911593914032,
0.48981449007987976,
0.2441512495279312,
-0.8280138373374939,
0.1286228746175766,
-0... |
Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: YOUNG LOVE IN SONG
Clue: In "I Love Rock 'N Roll", she sang, "S... | joan jett | 3 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.026884127408266068,
1.0215952396392822,
-0.7317029237747192,
0.24674858152866364,
-0.07026290893554688,
0.025381911545991898,
0.14333640038967133,
-0.008607439696788788,
0.34296756982803345,
0.5569256544113159,
0.05455024912953377,
0.11841653287410736,
-0.46478545665740967,
-0.001744630... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
[Q]: name something kids love to eat that adults like too
[A]: ice cream
[Q]: name a muscular celebrity who would probably hav... | sea shells
| 5 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
0.4348650574684143,
0.7484358549118042,
-0.5884063243865967,
-0.48650890588760376,
-0.46553897857666016,
-0.03588835895061493,
0.40913307666778564,
0.01777217537164688,
0.06619758158922195,
-0.2783452570438385,
0.39827442169189453,
0.2990823984146118,
-1.2875518798828125,
-0.48167964816093... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
[EX Q]: Context: The NASCAR All-Star Open qu... | Answer: none
| 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
0.20838777720928192,
-0.3566334843635559,
0.2598186135292053,
0.14809086918830872,
0.2320423275232315,
0.141066774725914,
0.5829678773880005,
1.0836987495422363,
0.6990814805030823,
0.07157520949840546,
-0.0705237165093422,
-0.40185195207595825,
-0.41130805015563965,
-0.2065485715866089,
... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
One example is below.
Q: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pat... | 1 | 9 | NIv2 | task848_pubmedqa_classification | fs_opt | [
-0.006664694286882877,
0.37345191836357117,
-0.14993740618228912,
-0.28911662101745605,
0.9018020629882812,
-0.2137477695941925,
-0.011192859150469303,
0.6047717332839966,
-0.09834867715835571,
0.2328805923461914,
-0.3941168189048767,
-0.2547832131385803,
-0.4905204474925995,
0.41457661986... |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | Gemcitabine
| 0 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.5327536463737488,
0.5022776126861572,
-0.14448462426662445,
-0.7352859973907471,
-0.38804951310157776,
-1.4383950233459473,
0.6944605708122253,
0.9082310199737549,
0.8202471733093262,
-0.5678700804710388,
-1.0237765312194824,
0.24599337577819824,
-0.6018924713134766,
-0.06372600793838501... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: "Raising Victor Vargas" is one of those light, f... | yes
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.15024569630622864,
0.0158891249448061,
-0.5575981736183167,
0.6375371813774109,
0.5502458810806274,
-0.22886289656162262,
1.178320050239563,
1.3822463750839233,
-0.20544539391994476,
-0.19495068490505219,
0.21186378598213196,
0.2666098475456238,
-0.7135517597198486,
-0.1956416815519333,
... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
PROBLEM: Il governo Clinton non era interessato a gestirlo.
SOLUTION: クリントン政権はこれには無関心でした
PROBLEM: Credo non ci sia niente come una crisi per dirci cosa sia veramente importante e cosa non lo sia, e Sandy... | この問題は私たちが作るものに対する思い上がりの結果です
| 8 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.26284265518188477,
-0.038272783160209656,
0.024347633123397827,
-0.4543936252593994,
-0.011860357597470284,
-0.6147371530532837,
0.7777273654937744,
0.6994879245758057,
-0.36324965953826904,
-0.2580314874649048,
0.2711176872253418,
0.05272817239165306,
-0.8790161609649658,
0.49896728992... |
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