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 |
|---|---|---|---|---|---|---|
Teacher: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 ... | (B) | 6 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.5730116963386536,
0.28916728496551514,
0.096089668571949,
-0.040281929075717926,
0.18821880221366882,
-0.9350478053092957,
0.11084343492984772,
0.9986264705657959,
-0.09759993851184845,
-0.03546673059463501,
-0.17962390184402466,
0.241665318608284,
-0.6144949793815613,
-0.171690285205841... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original... | Changed | 4 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.5732525587081909,
0.7332111597061157,
0.10267063975334167,
-0.8550445437431335,
-0.02746378630399704,
-0.5398609638214111,
0.2730110287666321,
0.2557811141014099,
0.4369095265865326,
-0.3852981925010681,
-0.7205730676651001,
-0.3340296745300293,
-0.9125739336013794,
0.20249956846237183,... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Let me give you an example: hNarAik
The answer to this example can be: hNrk
Here is why: The three vowels in the input 'a, 'A', and 'i' a... | nwlzQN | 8 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.4621987044811249,
1.099915623664856,
-0.26611292362213135,
-0.7065689563751221,
0.19243845343589783,
-0.5724105834960938,
0.5848453044891357,
-0.08076132833957672,
0.1521884649991989,
-0.4614853262901306,
-0.45765790343284607,
-0.13315686583518982,
-0.18075066804885864,
-0.81405574083328... |
Given the task definition, example input & output, solve the new input case.
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 implie... | grateful & appreciative. | 1 | NIv2 | task924_event2mind_word_generation | fs_opt | [
-0.10724513977766037,
-0.10583929717540741,
0.2212563157081604,
-0.25908005237579346,
-0.1401022970676422,
-0.27437567710876465,
1.0347700119018555,
0.4129304885864258,
0.5556424856185913,
-0.38791659474372864,
0.23229151964187622,
0.2466259002685547,
-0.1138584092259407,
0.135190635919570... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example solution: a, 34, f, 931, 7
Example expla... | Solution: C, 3523, u, 8087, 3333, s, z, 6517, U, r, t, z, 5645, b, V, 2751, M, W, 3739, O, 3113, s, D | 5 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.45790109038352966,
-0.21386873722076416,
-0.6877412796020508,
-0.5302332639694214,
-0.09081360697746277,
-0.42482417821884155,
0.6688002943992615,
0.5300626754760742,
-0.5869525671005249,
0.08453580737113953,
-0.7625443935394287,
0.19758574664592743,
0.33618053793907166,
0.28965651988983... |
Given the task definition and input, reply with output. In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: Whole-wheat flour -- Whole-wheat flour (in the US) or wh... | 1 | 5 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.011282669380307198,
1.128967046737671,
-0.2469978630542755,
-0.1987513303756714,
-0.2709929347038269,
-0.013376599177718163,
0.6128803491592407,
0.8904891610145569,
0.11418589949607849,
-0.26136961579322815,
-0.6158170700073242,
0.1881311684846878,
0.20738202333450317,
0.1666892170906067... |
Instructions: 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.
Input: Personality: Story I ve ever heard.
My parents are science deniers, but ... | That would be nice. My parents are different. | 3 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.24939283728599548,
0.60301673412323,
-0.6446901559829712,
-0.0982944667339325,
-0.45557862520217896,
-0.3578452169895172,
0.8759089112281799,
0.1134347915649414,
0.06653936952352524,
-0.3420296609401703,
-0.15163792669773102,
-0.015592239797115326,
-0.3608396053314209,
-0.33513483405113... |
instruction:
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> for other nouns. The capital 'B' denotes the first word of a p... | Israel <B-LOC> gave Palestinian <B-MISC> President Yasser <B-PER> Arafat <I-PER> permission on Thursday to fly over its territory to the West <B-LOC> Bank <I-LOC> , ending a brief Israeli-PLO <B-MISC> crisis , an Arafat <B-PER> adviser said .
| 9 | NIv2 | task610_conllpp_ner | fs_opt | [
0.047957323491573334,
0.3306195139884949,
-0.6719263792037964,
0.1453503668308258,
0.1791069507598877,
-0.03289587050676346,
1.114319086074829,
0.6252095699310303,
-0.32137006521224976,
0.248551607131958,
-0.16454342007637024,
0.7293721437454224,
-0.21213114261627197,
0.45306119322776794,
... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Ex Input:
Question: Does greater body mass independently predict less radi... | no
| 1 | NIv2 | task846_pubmedqa_classification | fs_opt | [
0.15412932634353638,
0.28496724367141724,
-0.6853752136230469,
0.945550262928009,
-0.27166807651519775,
-0.473548948764801,
0.5823290944099426,
0.9495207071304321,
0.7374779582023621,
-0.15192092955112457,
-0.9763872623443604,
0.2980518639087677,
-0.5501827597618103,
0.3540327847003937,
... |
You will be given a definition of a task first, then some input of the task.
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".
دانلود اهنگ چرا ساعت ۷ نمیشه تتلو... | paraphrase | 1 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.26115599274635315,
1.1039854288101196,
0.29155316948890686,
0.34183448553085327,
-0.40559858083724976,
0.03944888710975647,
0.9858076572418213,
0.5768913626670837,
0.6339807510375977,
-0.4884304106235504,
-0.4835473299026489,
-0.7204129695892334,
-0.1855771839618683,
0.1817457377910614,... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
--------
Question: George W. Bush went home ... | (B)
| 7 | NIv2 | task302_record_classification | fs_opt | [
0.4601423144340515,
0.681120753288269,
-0.25151288509368896,
0.0673011913895607,
0.48470765352249146,
0.19428442418575287,
1.1274384260177612,
0.8597109317779541,
-0.18520238995552063,
0.6833270788192749,
-0.03345295041799545,
0.6429190635681152,
-0.036676570773124695,
-0.17767533659934998... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
question:
Nessuno nella mia famiglia era mai entrato nell'esercito, e il mio primo approccio con l'esercito è stato all'età di 13 anni quando fui mandato alla scuola militare, perché mia madre mi minacciava con q... | اين روزها اغلب مردم باور دارن كه اين رغبتِ روزافزون به شفافيت ، اين همگرايى ميان شهروندانِ کنشگر ، فن آورى نوين و وضع قوانين طرفدار شفافيت مى تونه اعتماد به سياست و سياستمدارها رو برگردونه.
| 9 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.04284646362066269,
0.3760218918323517,
-0.4493478536605835,
-0.6393958926200867,
-0.4778859317302704,
-0.584862232208252,
1.0024138689041138,
1.0941880941390991,
0.632152795791626,
-0.08314485102891922,
-0.5438726544380188,
0.31388169527053833,
-1.2188060283660889,
-0.4605439305305481,
... |
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.
name something you might do to keep your house cool on a hot day | air conditioning | 0 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
0.2454867660999298,
0.9126310348510742,
-0.006841190624982119,
0.3765661120414734,
-0.4173243045806885,
-1.628563642501831,
0.6144774556159973,
0.25737524032592773,
-0.4563400149345398,
-0.06624407321214676,
-0.2575780153274536,
-0.10100609064102173,
-0.894316554069519,
-0.4976668357849121... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 1990年代後半になる... | Yes | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.8943620920181274,
0.2991701364517212,
0.31832313537597656,
-0.13421863317489624,
-0.6254072189331055,
0.3516671657562256,
0.36537066102027893,
-0.40376806259155273,
0.11060929298400879,
-0.4569517970085144,
-0.7556317448616028,
0.5323827862739563,
-1.199386715888977,
0.535789430141449,
... |
You are given a statement written in Oriya. 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 .
[EX Q]: Statement: କୌଟିଲ୍ୟଙ୍କ ଅର୍ଥଶାସ୍ତ୍ର, ମେଘାସ୍ଥିନିସଙ୍କ ଇଣ୍ଡିକା ଏବଂ ଅଶୋକଙ୍କର ଶିଳାନୁଶାସନରୁ ମୌର୍ଯ୍ୟ ଶାସନପଦ୍ଧତି ବିଷୟ... | ପଞ୍ଜାବ
| 6 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
-0.0774945616722107,
0.980131983757019,
0.07745056599378586,
-0.4289604425430298,
0.05951707065105438,
-0.6417508721351624,
-0.2866961359977722,
0.7579188346862793,
-0.11539772897958755,
0.2497403770685196,
-0.26964348554611206,
-0.15945178270339966,
0.09008435159921646,
-0.573384881019592... |
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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A mother and her child cry at a funeral home. | 8 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.31517311930656433,
0.7368713617324829,
0.4995259940624237,
-0.7281772494316101,
0.03579024225473404,
-0.4326152503490448,
-0.323302686214447,
0.842914342880249,
0.5215297341346741,
-0.1939198076725006,
-0.5265907049179077,
-0.1846914142370224,
-0.7126893997192383,
-0.3924238681793213,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Input: Consider Input: Person1: Why aren't you doing your homework ?
Person2: I'll do it later , Dad . I must prep... | Output: 1
| 2 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.7502926588058472,
0.29392367601394653,
-0.6865940690040588,
0.036643244326114655,
0.147940993309021,
-0.4751804769039154,
1.0639653205871582,
0.6094502210617065,
-0.030451413244009018,
0.1186755895614624,
-0.28362175822257996,
0.043645113706588745,
-0.4215935468673706,
-0.330364108085632... |
Teacher: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sente... | None | 2 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.19847995042800903,
-0.04029465466737747,
0.22602301836013794,
-0.7930939197540283,
0.7175742983818054,
0.30614861845970154,
0.6880667805671692,
0.9826005697250366,
-0.670502245426178,
-0.33977335691452026,
0.29573768377304077,
0.0903836041688919,
-0.656724750995636,
-0.33578115701675415,... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Let me give you an example: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse... | Broccoli Casserole | 8 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.912431001663208,
0.6124927997589111,
-0.5025650858879089,
1.329458236694336,
0.09621067345142365,
-0.3533988893032074,
0.5939903855323792,
0.7441546320915222,
-0.5928806662559509,
-0.46665164828300476,
-0.3350730538368225,
0.37638282775878906,
-0.39209431409835815,
-0.13429656624794006,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a | 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.3035680651664734,
-0.2292098104953766,
-0.22491656243801117,
-0.07085073739290237,
0.5026501417160034,
-0.027637211605906487,
0.800621509552002,
1.5033702850341797,
0.001962469657883048,
0.34382206201553345,
-0.8515735864639282,
-0.1495800018310547,
-0.21687372028827667,
0.09187276661396... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Q: [8095, 493, 'S', 'y', 'g', '3823', 'Y', '9997', 's', '4361', 'R', '2905', 'X', 'F', 'b', 'g', 4509, 'U', 'f', 'x'], ['o', 2397, 977, 'H', 'W', 'B', 'H', 'W', '3823', 'Y', '9997', 's', '4361', 'R', '2905', 'X', 'i', '... | 3823, Y, 9997, s, 4361, R, 2905, X | 4 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.8477835655212402,
0.47994911670684814,
-0.3291481137275696,
-0.4258524477481842,
-0.2024504691362381,
-0.27395856380462646,
-0.04698581248521805,
-0.21431411802768707,
-0.3242383599281311,
-0.016760047525167465,
-1.1459605693817139,
0.17123910784721375,
0.7926951050758362,
0.41375398635... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Let me give you an 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。
Filipino: Ang mga... | No | 8 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.23073768615722656,
-0.48133575916290283,
-0.3597681522369385,
0.2941134572029114,
-0.08886536210775375,
-0.45013636350631714,
0.6533197164535522,
-0.21411409974098206,
-0.4892303943634033,
-0.43952345848083496,
-0.021737229079008102,
1.0819884538650513,
-0.12281728535890579,
1.115154504... |
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the s... | ab | 2 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.5140472054481506,
0.07650024443864822,
-0.05510217323899269,
0.1369980275630951,
-0.06105765327811241,
0.05145702511072159,
0.5262008309364319,
0.4951056241989136,
0.1705828607082367,
0.20143811404705048,
-0.7424878478050232,
-0.0209087822586298,
0.18207785487174988,
0.32931679487228394... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Q: Former Wigan and England threequarter Da... | Hull KR | 4 | NIv2 | task339_record_answer_generation | zs_opt | [
0.7228137850761414,
0.7939267754554749,
-0.6006553769111633,
-1.0437670946121216,
0.21967750787734985,
-0.9242209196090698,
0.2038152664899826,
0.5825526714324951,
-0.07905752956867218,
-0.15434615314006805,
0.0034312251955270767,
1.0400867462158203,
-0.3918662369251251,
-0.227639257907867... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
PROBLEM: But what we think is that, under conditions of stress, the levels of these hormones drop — for example, having limited food supply.
SOLUTION: Mas aquilo que pensamos é que, sob condições de stre... | E faz-nos ponderar porque falharam esses pioneiros.
| 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.10030579566955566,
0.14757513999938965,
-0.3370317816734314,
-0.5749927163124084,
0.01410649437457323,
-0.8476821184158325,
-0.6326259970664978,
1.3559410572052002,
0.4287075400352478,
-0.18006443977355957,
-0.8018434643745422,
-0.6441637873649597,
-0.6812352538108826,
-0.164138630032539... |
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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Input: Beginn... | 2 | 3 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.3636644780635834,
1.1815251111984253,
0.15478211641311646,
-0.28761976957321167,
-0.4285317063331604,
-0.31515341997146606,
0.5838865637779236,
0.7582754492759705,
-0.07693919539451599,
-0.2945021390914917,
-0.631859302520752,
0.40353840589523315,
-0.7848111987113953,
-0.392035186290740... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is conside... | True | 0 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.12341351807117462,
-0.18218660354614258,
-0.2344643771648407,
0.7601679563522339,
0.4700046479701996,
-0.37784039974212646,
0.7332984209060669,
0.6789610385894775,
-0.17478832602500916,
0.2708744704723358,
-0.21040473878383636,
0.0670350044965744,
-0.07766363024711609,
-0.00764619791880... |
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: a journey . i don't do a lot of reading for fun. but this book i couldn't put down on... | POS
****
| 4 | NIv2 | task476_cls_english_books_classification | fs_opt | [
0.21800875663757324,
0.020955316722393036,
0.012208836153149605,
-0.1652297079563141,
0.3153068721294403,
-0.38514840602874756,
0.8887315392494202,
0.16874784231185913,
0.578135073184967,
0.10059912502765656,
-0.3441222608089447,
-0.08185559511184692,
-0.6788405776023865,
-0.22581231594085... |
The task is to generate the correct answer for a given math problem.
Q: Problem: an alloy of copper and zinc contains copper and zinc in the ratio 8 : 2 . another alloy of copper and zinc contains copper and zinc in the ratio 4 : 6 . in what ratio should the two alloys be mixed so that the resultant alloy contains equa... | 3 : 1 | 4 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.3785845637321472,
1.029238224029541,
-0.6910123825073242,
0.5353046655654907,
0.11577136814594269,
0.1369141787290573,
0.7570194005966187,
0.9141601324081421,
-0.27169984579086304,
-0.02411756105720997,
-0.09170735627412796,
0.34814077615737915,
-0.3381139934062958,
0.24059279263019562,
... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[[-2, 20], [-13, 36, -18, 9, -16], [-8, -32], [-2... | [-40, -1213056, 256, 243, -8199750, -36288, 29808, -17280, -19584, 798] | 0 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.30189090967178345,
0.218294158577919,
-0.8029298186302185,
-0.0023663495667278767,
0.03809608519077301,
-0.11200199276208878,
1.4130288362503052,
0.08512414991855621,
-0.5422191619873047,
-0.3186725378036499,
-1.171939492225647,
0.2874790132045746,
-0.9162504076957703,
-0.11316189169883... |
Given the task definition and input, reply with output. 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: B... | True | 5 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.3828687071800232,
0.3950255513191223,
-0.45602497458457947,
0.3387277126312256,
-0.5076220035552979,
0.3957303762435913,
0.46846118569374084,
0.9911038875579834,
0.4382597804069519,
-0.3046388030052185,
-1.322693109512329,
-0.04917930066585541,
0.16321951150894165,
0.4849676489830017,
... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: この通り、今日はどうやったって論文に取り掛かることなんてできない ！ 」これは事実上、あなたの中にオデュッセウスと一等航海士がいるようなものです。
Output: | E non hai forma de que isto funcione "". Polo que si, somos coma Ulises e o seu primeiro oficial nunha mesma persoa. | 3 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.5232011079788208,
0.8667775392532349,
-0.07523077726364136,
-0.9348084926605225,
-0.06053370609879494,
-0.8354277610778809,
0.07462583482265472,
0.4152933657169342,
-0.1357259452342987,
-0.5469168424606323,
-0.20975103974342346,
-0.16564376652240753,
0.22208206355571747,
-0.332285165786... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_tra... | base | 0 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.038786157965660095,
0.32986241579055786,
-0.01965641789138317,
-0.3451782464981079,
0.11814110726118088,
0.5782389044761658,
0.6434797048568726,
0.47851818799972534,
0.18664409220218658,
0.2853114604949951,
-0.13568788766860962,
0.09375351667404175,
-0.4662691652774811,
-0.05369822680950... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Example ... | Identity-attack
| 3 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.09053704887628555,
0.18259689211845398,
0.14208951592445374,
0.5609237551689148,
-0.18607160449028015,
-0.1307132989168167,
0.40536606311798096,
0.9473738074302673,
0.35113421082496643,
0.40822553634643555,
0.12812082469463348,
0.649085521697998,
-0.7586847543716431,
-0.4401134848594665... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
See one example below:
Problem: Context: Joanne McLeod is a Canadian figure... | privateer | 4 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.37707579135894775,
0.635759711265564,
-0.7493605017662048,
-0.3068743348121643,
0.43110954761505127,
0.21439018845558167,
0.7458597421646118,
0.806928277015686,
-0.30264005064964294,
0.09115409851074219,
-0.09257832169532776,
0.6597260236740112,
-0.6504659652709961,
0.5093403458595276,
... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Q: Passage: Lloyd's police department became the first in the county to purchase ... | Hudson Valley Rail Trail. | 4 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.08836010098457336,
0.657861590385437,
0.19666528701782227,
0.39905405044555664,
0.1918220818042755,
-0.3616117238998413,
-0.13473641872406006,
0.7974293231964111,
-0.10050109773874283,
-0.2122189998626709,
-0.036276061087846756,
0.43828096985816956,
-0.11601956188678741,
-0.0993044823408... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Comment:... | Non-identity-attack | 0 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.7165220379829407,
0.2668028175830841,
0.6847929358482361,
0.9745525121688843,
-0.21880939602851868,
-0.009723405353724957,
0.7178738117218018,
0.055166710168123245,
0.39884820580482483,
-0.1881759762763977,
0.16230088472366333,
-0.39866018295288086,
-1.2088871002197266,
-0.6516299843788... |
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, travel, v... | N | 4 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-0.9552403688430786,
0.46542930603027344,
-0.05174054950475693,
-0.8634336590766907,
0.08459721505641937,
0.2800661623477936,
0.3273623287677765,
0.5929409265518188,
0.19368241727352142,
-0.015875130891799927,
-0.2918475866317749,
0.47990888357162476,
-0.6869350075721741,
-0.35053580999374... |
Definition: 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".
Input: Japanese: プラネットアウトの株主は、ヒヤ・メディアのたった20％に相当することになる。
Khamer: អ្នកស៊ើបអង្កេតមុនដំបូងខ... | No | 2 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.5927687883377075,
-0.19056349992752075,
0.11170335114002228,
-0.16559582948684692,
0.221601665019989,
-0.6223350763320923,
0.7945963144302368,
0.6176992654800415,
0.015400964766740799,
-0.15109944343566895,
-0.3822975158691406,
-0.033413469791412354,
-0.9299639463424683,
0.1959224045276... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | I want to do something besides fight. | 3 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.8266887664794922,
0.06518229842185974,
0.22284002602100372,
-0.03754335641860962,
0.3584144711494446,
-1.5646836757659912,
-1.0164228677749634,
-0.1931493729352951,
0.6400172710418701,
-0.6101892590522766,
-0.012419303879141808,
0.116676926612854,
-0.40882328152656555,
0.018732661381363... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
One example is below.
Q: excavator, crane, pelican, hoist, upraise
A: pelican
Rationale: The common category here are words related to construction. A pelican ... | hearts | 9 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.5664464831352234,
0.7791982889175415,
0.04144133999943733,
-0.06863949447870255,
0.12502077221870422,
0.18822291493415833,
0.4101639986038208,
0.04553873836994171,
-0.09999842941761017,
-0.6091293692588806,
-1.2056468725204468,
-0.11687003821134567,
-0.84421706199646,
0.5491138100624084,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so... | Jill's husband wanted to give her flowers or jewelry for their anniversary, but chose the _ because she likes to dress up. | 1 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.597693681716919,
0.22614985704421997,
0.2969617247581482,
-0.0658472403883934,
0.8425945043563843,
-0.8660160303115845,
0.8057719469070435,
1.124229907989502,
-0.8028162717819214,
-0.32637572288513184,
-0.46180522441864014,
0.3656766414642334,
-0.4509614109992981,
0.13283684849739075,
... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Problem:The contraction of the smooth muscle of the digestive tract
Solution: | La contracción del músculo liso del tubo digestivo | 8 | NIv2 | task1432_head_qa_language_translation_en_to_es | zs_opt | [
0.25404325127601624,
0.6309423446655273,
-0.35607796907424927,
-0.9430307149887085,
0.20262135565280914,
-0.1035778820514679,
-0.4303547143936157,
0.6876821517944336,
0.4797419309616089,
-0.5357398986816406,
0.40027517080307007,
0.19362418353557587,
-1.4367185831069946,
0.16406038403511047... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: ... | Adj N N N Punc N Num Punc Punc | 1 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
-0.41897642612457275,
0.7490864992141724,
-0.037879377603530884,
-0.13848790526390076,
-0.23800820112228394,
-0.022626224905252457,
0.3512720465660095,
0.1572018563747406,
0.418011873960495,
-0.2980935871601105,
-0.1449526995420456,
0.7786787748336792,
0.07918059825897217,
0.07492126524448... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'ag... | 3257 | 1 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
0.4181233048439026,
0.6636883020401001,
-0.4361518919467926,
0.1639244556427002,
-0.3584202527999878,
0.1157173216342926,
0.5146126747131348,
1.0476114749908447,
0.05095204710960388,
-0.47210490703582764,
-0.8564196228981018,
-0.4223066568374634,
-0.20816132426261902,
0.39457613229751587,
... |
Detailed Instructions: 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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | A man is in a restaurant eating. | 4 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.3290579319000244,
0.615063488483429,
0.5368691682815552,
-0.6684176921844482,
0.1463720053434372,
-0.36441540718078613,
-0.48942500352859497,
0.6383728384971619,
0.4918837547302246,
-0.1523871123790741,
-0.8332919478416443,
-0.2037089467048645,
-0.6917937994003296,
-0.22597387433052063,... |
Detailed Instructions: 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 questio... | 1, 2. | 9 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.1892203688621521,
0.6937490701675415,
-0.9674769639968872,
-0.8610333204269409,
-0.5023261308670044,
-1.4086577892303467,
-0.08036990463733673,
1.399441123008728,
-0.2104281485080719,
0.02522776648402214,
0.2793823182582855,
0.34730589389801025,
-0.4431493878364563,
-0.04765802621841431,... |
Q: 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.
Article: In recent years many countr... | Yes | 7 | NIv2 | task310_race_classification | zs_opt | [
0.2213936597108841,
0.39148956537246704,
-0.4094543159008026,
0.9259232878684998,
0.2820471525192261,
-0.0026474641636013985,
0.2481796145439148,
1.2546851634979248,
0.37613534927368164,
0.12720566987991333,
-0.39196234941482544,
-0.2532162070274353,
-0.12885448336601257,
-0.01825970970094... |
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 should not change any ... | PersonX wasn't able to survive the knife attack from PersonY, so _ is now a killer. | 8 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.0404943227767944,
0.0893356204032898,
-0.09739352762699127,
-0.04410962015390396,
0.44972988963127136,
-1.2082926034927368,
1.4432224035263062,
0.7039722800254822,
-0.5199006795883179,
-0.48409193754196167,
-0.27483153343200684,
0.1346491426229477,
-0.7569092512130737,
0.5200421810150146... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
PROBLEM: Il resto viene passato tra un "" togli i gomiti dal tavolo "" e un "" passami il ketchup "". Si possono prendere quei dieci minuti, trasferirli in un qualsiasi momento della giornata e trarne lo stes... | پیتر: می خواهی چه کار کنی ، دیمیتری ؟ صدای خانم: له کردن یک حلزون ممکن است خیلی مهم به نظر نرسد ، ولی به یاد داشته باشید ، حتی این گزینه
| 8 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.26019060611724854,
0.6880818605422974,
0.06785385310649872,
0.23403698205947876,
-0.9564921855926514,
-0.2954540252685547,
0.8686604499816895,
0.4141712784767151,
-0.310851514339447,
-0.18987640738487244,
-0.8602274656295776,
0.15479740500450134,
-0.5815832614898682,
0.3660884499549866,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narr... | Kyle loved to read and write. | 1 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.6186221837997437,
0.8026817440986633,
0.11552001535892487,
-0.3391895890235901,
-0.27482298016548157,
0.633552074432373,
0.816931426525116,
0.5042181015014648,
-0.15762078762054443,
0.09685565531253815,
-0.09223754703998566,
-0.10046625137329102,
-0.1365317702293396,
0.12894383072853088... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Q: وعندما تُخصَّب ، تتصرف كبيض أي حيوان آخر: تنقسم إلى نصفين ، مرة واثنتين وهكذا.
A: | هنگامی که بارور شدند ، مانند تخم دیگر حیوانات رفتار می کنند: به طور مکرر به دو نیمه تقسیم می شوند. | 9 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.34754738211631775,
0.66644287109375,
0.13037139177322388,
0.38686293363571167,
-0.3993861675262451,
1.1441713571548462,
0.6792038083076477,
0.11511388421058655,
-0.24325257539749146,
-0.4259215295314789,
-0.7801441550254822,
0.037241287529468536,
-1.0253525972366333,
0.7085543274879456,... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: ومن ثم ، اذا توقفت عن الدفع له ، مالذي سيحدث حينها ؟
Output: | それにお金を与えるのを止めたらどうなるでしょう ？ | 2 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.07802403718233109,
0.1856052577495575,
0.17399391531944275,
-0.32878178358078003,
-0.7121855020523071,
-0.1721910983324051,
0.6342107057571411,
0.4574168026447296,
0.8211195468902588,
-0.2847612500190735,
0.09829370677471161,
-0.18421243131160736,
-0.19135063886642456,
0.110165446996688... |
Q: 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 -
... | NUM | 7 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.5404543876647949,
0.0041803838685154915,
-0.37988370656967163,
0.14045697450637817,
-0.06280434131622314,
-1.009061336517334,
0.5699099898338318,
0.6655687093734741,
-0.414272278547287,
0.1827716827392578,
-0.4818035960197449,
0.3809780776500702,
-0.6809058785438538,
0.5048637390136719,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Le ibotshelelwe kwisibambi senTambo ibizwa ngekuba likhankco elisebenzayo.
| That which is connected to the cable holder is called the working bridle. | 5 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
-0.2663279175758362,
0.8300795555114746,
0.42096424102783203,
0.1642332822084427,
-0.19331206381320953,
-0.6011092662811279,
0.7414258122444153,
0.07965106517076492,
0.01804141327738762,
-0.5504340529441833,
-0.46812015771865845,
0.23450005054473877,
-0.3444487154483795,
0.4520512819290161... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [62, 183] | 4 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-1.3881208896636963,
0.4607037901878357,
0.1596098393201828,
-0.42041194438934326,
0.16800014674663544,
-0.22032594680786133,
0.9489777684211731,
0.1149202436208725,
-0.012195847928524017,
0.48191726207733154,
-0.37367942929267883,
0.5092376470565796,
-0.17518377304077148,
-0.3229994177818... |
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.
[Q]: Category: MOVIE CO-STARS
Clue: Meryl Streep & this actress were acclaimed for playing si... | hector
| 5 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.33927488327026367,
0.27462345361709595,
-0.32424861192703247,
-0.14196592569351196,
0.31484556198120117,
0.6112757325172424,
0.3476817309856415,
0.2543383240699768,
0.7320702075958252,
0.06266166269779205,
0.10787610709667206,
-0.5248181223869324,
-0.7974712252616882,
-0.307060569524765... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
One example is below.
Q: Comment: Enough already.... | Threat | 9 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.6816940307617188,
0.7548736333847046,
0.9671815037727356,
0.21807065606117249,
-0.05933767929673195,
-1.1696555614471436,
0.6222690343856812,
0.6573498845100403,
-0.21614307165145874,
0.25639578700065613,
0.4563753306865692,
-0.227975994348526,
-0.8858003616333008,
-0.6938220262527466,
... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return the Armenian Patriarchate of Constantinople
#2 return estimate of Armenians in Van of #1
#3 return estimate of Kurds in Van of #1
#4 return which is the highest of #2 , #3 | 4 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.1972851753234863,
-0.23621317744255066,
-0.7102988958358765,
0.6550590991973877,
0.08494038134813309,
-0.421750545501709,
1.4297552108764648,
0.3261861205101013,
0.06602726876735687,
0.5330305695533752,
-0.4515727162361145,
0.04772784560918808,
-0.20495131611824036,
0.43247807025909424,
... |
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... | How long did Sonny King and Jay Strongbow hold their title for before Tanaka took it? | 6 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.17141246795654297,
0.8443859219551086,
-0.6959563493728638,
-0.11243849247694016,
0.44289079308509827,
-0.303838849067688,
0.8657698035240173,
0.6764686107635498,
0.25185108184814453,
-0.07639163732528687,
-0.7674674987792969,
0.4735390543937683,
-0.5376792550086975,
0.1719616800546646,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
See one example below:
Problem: Gracias.
Solution: Grazas.
Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.
Problem: No sé si habrán visto u... | Non sei se viron a cadena CNN ultimamente: Déronlle un premio a un rapaz pastor de Kenia que non podía estudar á noite na súa aldea como o resto de nenos da aldea, porque a lámpada de queroseno botaba fume e lastimáballe os ollos. | 4 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-1.1763800382614136,
0.7719628810882568,
0.28811854124069214,
-0.901705265045166,
-0.21357157826423645,
-1.4387712478637695,
0.2312561720609665,
0.9769810438156128,
-0.2892587184906006,
-0.02358284406363964,
-0.3905618488788605,
0.3594836890697479,
-1.1687265634536743,
0.14413243532180786,... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
See one example below:
Problem: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوبار... | وهكذا ، فان وضعت كل ذلك معاً ، يمكن أن يساعد هذا على تفسير لماذا خريجى جامعات اليوم بالتوازي مع الأقل تعليماً فى الولايات المتحدة يعرفون الأقل عن العالم عن أقرانهم قبل 20 عاماً. | 4 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.9217513799667358,
0.4382808804512024,
-0.5829366445541382,
-0.825588047504425,
-0.2929133176803589,
-0.6937932372093201,
1.0625545978546143,
0.2895536720752716,
0.1076807975769043,
0.04408750683069229,
-0.9122932553291321,
0.5206253528594971,
-0.5587902069091797,
0.4353344440460205,
0... |
You will be given a definition of a task first, then some input of the task.
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or ... | Valid | 1 | NIv2 | task148_afs_argument_quality_gay_marriage | zs_opt | [
-0.0034993188455700874,
0.28551679849624634,
0.4951377511024475,
0.4152860939502716,
0.12462789565324783,
-1.1963698863983154,
-0.02645929343998432,
0.220274418592453,
-0.1341814398765564,
0.05272078514099121,
-0.45938920974731445,
-0.11379031836986542,
-0.7876458168029785,
-0.557944178581... |
Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name enti... | None | 3 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.3040173053741455,
0.4483988583087921,
-0.01092821080237627,
-0.1489766240119934,
-0.35249456763267517,
-0.16418540477752686,
0.7922661304473877,
0.06577710062265396,
0.7314673066139221,
-0.6706947684288025,
-0.7999314069747925,
0.47313830256462097,
-0.26436322927474976,
-0.03572500124573... |
Teacher: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 .
Teacher: Now, understand the problem? Solve this instance: Statement: സാമ്പത്തികശാസ്ത്രത്തിനുള്ള നോബൽസമ... | 1968 | 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
-0.17102105915546417,
0.19224420189857483,
-0.032084133476018906,
-0.28562963008880615,
-0.4121376872062683,
-0.5312710404396057,
-0.19663295149803162,
0.25410860776901245,
0.39322710037231445,
0.07076901942491531,
0.21736367046833038,
0.1478569358587265,
-0.2692990005016327,
-0.4505856931... |
Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.1001281812787056,
-0.11218462884426117,
-0.05029170960187912,
0.16019943356513977,
0.21564987301826477,
-0.46191543340682983,
0.2566508948802948,
0.9957083463668823,
-0.4804925322532654,
0.2579748034477234,
-0.09934398531913757,
-0.2698156237602234,
-0.24560080468654633,
-0.310054719448... |
Q: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's b... | green_box | 7 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
-0.11935868859291077,
0.18495222926139832,
-0.6166449785232544,
-0.10476622730493546,
-0.373753160238266,
-0.9755426645278931,
-0.26849687099456787,
0.669661283493042,
0.22690609097480774,
0.1004912406206131,
0.4616973102092743,
0.36110538244247437,
-0.08022055774927139,
0.133287712931633,... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | weakener | 6 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
0.05012063682079315,
0.6829884648323059,
0.030452951788902283,
0.07857602834701538,
-0.024086158722639084,
-0.8474201560020447,
0.7378641963005066,
1.0429613590240479,
0.6135331392288208,
-0.566594123840332,
-1.2353956699371338,
0.13396576046943665,
-0.5521256327629089,
-0.0960743501782417... |
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 ... | Brasilian | 4 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.05356701835989952,
0.494889497756958,
-0.2812284529209137,
-0.3418334722518921,
0.5019708871841431,
-0.3644406199455261,
0.8070646524429321,
0.7177602648735046,
-0.5658117532730103,
0.07686979323625565,
-0.24835577607154846,
0.9152654409408569,
-0.33230817317962646,
-0.0147254578769207,... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Ex Input:
Text: Przesiadka z P9 Lite na 20 Pro jest wielka, co można... | No
| 1 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.6857085824012756,
0.05739714205265045,
-0.5169858932495117,
0.057304151356220245,
0.21411745250225067,
-0.7904924154281616,
0.9568963050842285,
0.7394117116928101,
-0.3565994203090668,
0.5984838008880615,
-0.18407250940799713,
0.8456071615219116,
-0.8584251999855042,
-0.1141381263732910... |
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.
4, 11, ['6301', 'A', '8325', 'A', 'E... | 3415, 4307, 6961, m, 4139
| 0 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.22706621885299683,
0.1328745037317276,
-0.398728609085083,
-0.23172426223754883,
-0.1573263555765152,
-0.42386749386787415,
0.436703622341156,
0.1570708155632019,
-0.5807141661643982,
0.2598629593849182,
-0.6827116012573242,
0.2801142930984497,
-0.06561727821826935,
0.26434528827667236,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Example: このアイデアはとてもシンプルで
Example solution: A ideia é muito, muito simples.
Example explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: 私たちは機械で換気された空気が人間... | Solution: O que nós descobrimos é que o ar mecanicamente ventilado se assemelha aos seres humanos. | 5 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.04765080660581589,
0.7634214162826538,
-0.22995057702064514,
-0.7888550758361816,
-0.4844602942466736,
-1.6300687789916992,
0.9111142158508301,
0.5962741374969482,
0.239279106259346,
-0.4212697744369507,
-1.080331802368164,
-0.0919632837176323,
-0.6033196449279785,
0.22414499521255493,
... |
Given the task definition and input, reply with output. Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following ... | bus | 5 | NIv2 | task1154_bard_analogical_reasoning_travel | zs_opt | [
-0.1852288544178009,
0.675084114074707,
-0.521808385848999,
0.13837313652038574,
-0.7940451502799988,
0.7428275346755981,
0.9328561425209045,
0.32751041650772095,
0.29140305519104004,
-0.5033128261566162,
-0.3722037672996521,
0.00941541325300932,
0.4866008758544922,
0.04956962168216705,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal
| 5 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.7472752332687378,
-0.47390103340148926,
0.0502321757376194,
0.38791751861572266,
-0.2589830160140991,
-0.5573428869247437,
0.41174018383026123,
0.08519671857357025,
0.08064159750938416,
0.30279606580734253,
-0.6531907916069031,
-0.03635847568511963,
-0.1757185459136963,
-0.4925940632820... |
Definition: 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.
Input: Sinabi niya na makakatakbo ang misil sa bilis ng 328 talampakan bawa't segundo.
Output: | 彼は「ミサイルが1秒につき328フィート移動することができる」と言った。 | 2 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.32062047719955444,
-0.11164399236440659,
0.07074658572673798,
-0.43766969442367554,
0.43941617012023926,
-0.17720827460289001,
0.7700165510177612,
0.7958217263221741,
0.059622347354888916,
-0.258780300617218,
-1.2925561666488647,
0.2423575520515442,
-0.7654322385787964,
0.63288450241088... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Input: Consider Input: These potato chips are DELICIOUS! I have not had potato chips in approximately two years as it has been difficult to find... | Output: False
| 2 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.14059188961982727,
-0.3858671486377716,
-0.2317231297492981,
0.2137964963912964,
0.14400485157966614,
-0.5239795446395874,
0.5461578965187073,
1.0642542839050293,
-0.38236215710639954,
0.12353940308094025,
0.39761263132095337,
0.24156448245048523,
-0.7757529020309448,
-0.0240105800330638... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | []
| 0 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.9505281448364258,
-0.3796067237854004,
-0.7436816096305847,
-0.37241238355636597,
-0.2520219087600708,
0.00030781805980950594,
0.471565306186676,
0.05194464325904846,
-1.0647789239883423,
-0.16495949029922485,
-0.7618429660797119,
-0.04751373454928398,
-0.6298085451126099,
0.04214748740... |
Detailed Instructions: 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'.
See one example below:
P... | Answer: Korea | 4 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.291118323802948,
0.06769062578678131,
-0.6031045913696289,
-0.21843554079532623,
0.5832842588424683,
-0.4696086645126343,
1.585116982460022,
0.9355250597000122,
0.3098026514053345,
0.27711063623428345,
-0.3571649491786957,
-0.09370546042919159,
-0.07292693853378296,
0.3046998679637909,
... |
Given the task definition and input, reply with output. 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 in... | C | 5 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.18591691553592682,
0.9054639935493469,
0.4664153754711151,
-0.2349572777748108,
-0.1354803442955017,
0.589396595954895,
-0.3154338598251343,
0.25342249870300293,
0.5247286558151245,
0.425649493932724,
-0.22979424893856049,
-0.10706361383199692,
-0.20652766525745392,
0.03912147134542465,... |
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.
Example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Example solution: पहले दो को... | Solution: सन् 1976-79 के दौरान , नाइट्रोजनयुक्त उर्वरकों की खपत में वृद्धि 15 से 20 प्रतिशत प्रति वर्ष की दर से हुई.सन् 1979-80 का वर्ष चारों तरफ फैले सूखे की स्थिति के कारण अपवाद था । | 5 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.28807729482650757,
0.23973780870437622,
0.5183510780334473,
-0.10378044843673706,
0.030326280742883682,
-0.8198942542076111,
0.034527573734521866,
0.9394695162773132,
-0.18590199947357178,
-0.30215197801589966,
-1.0744940042495728,
-0.2794179320335388,
-0.8981657028198242,
0.190781146287... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example: Swedish: Jag förklarar debatten avslutad.
English: The debate is closed.
Example... | Solution: No | 5 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.4545401930809021,
0.47730571031570435,
0.5597387552261353,
-0.3972568213939667,
-0.11720544099807739,
-1.3681108951568604,
0.8986214399337769,
0.7793123126029968,
0.6883368492126465,
0.3303385376930237,
0.2941947877407074,
0.8846690654754639,
-0.6762489676475525,
0.009732494130730629,
... |
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
O... | None | 0 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.27696704864501953,
0.20580895245075226,
-0.2605554163455963,
-0.05706799030303955,
-0.3345387279987335,
-0.13779515027999878,
1.5975637435913086,
0.2557699978351593,
0.341612309217453,
-0.4499923586845398,
-0.5212608575820923,
0.34023869037628174,
-0.07029013335704803,
-0.14881496131420... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Well, that's where you have to go backstage and ask the magician.
برای اینکه این را بفهمیم ، باید برویم پشت صحنه و از شعبده باز سوال کنیم.
It's far less than half the size of the Earth, and yet despite the fact that it's ... | قبلا درباره این ایده نوشته ام ، و و می دانم که افردی در این سالن هستند که در گذشته تلاش قابل توجه ای را مبذول کرده اند.
| 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
0.20282045006752014,
1.3712387084960938,
-0.2706754505634308,
-0.6065568923950195,
0.09031175822019577,
-0.3934341073036194,
0.5891948342323303,
-0.2844306528568268,
0.5505003333091736,
0.2368955910205841,
-0.769629180431366,
0.3021741807460785,
-0.35735684633255005,
0.8142151236534119,
... |
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 particular sentiment, otherwise generate answer "no".
Ex Input:
Tweet: @zombiebites Oh no! That is so horrible dude! I'm s... | no
| 1 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-0.9054365158081055,
0.13635709881782532,
0.3786996901035309,
0.24794332683086395,
0.07862364500761032,
-0.877156674861908,
0.2556351125240326,
0.3046940565109253,
0.20927751064300537,
0.5827653408050537,
-0.27311885356903076,
-0.3763420581817627,
0.2064136564731598,
-0.6028220653533936,
... |
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.
Let me give you an example: PersonX keeps ___ in mind
The answer ... | to help someone out | 8 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.318764865398407,
0.7922176122665405,
0.17419356107711792,
-0.4508955180644989,
-0.6771751642227173,
-0.7850801348686218,
1.4041321277618408,
0.585809588432312,
0.3541657328605652,
-0.544655978679657,
-0.14472389221191406,
0.3288653790950775,
-0.8340667486190796,
0.5853451490402222,
0.... |
Part 1. Definition
In this task, you're given a context, 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 context and link informat... | Who had killed Stephanie Brown in War Crimes? | 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.0891495794057846,
0.6513631343841553,
-0.4119979739189148,
0.095277339220047,
0.23240330815315247,
-0.48358240723609924,
0.30564814805984497,
0.4577317535877228,
0.969754695892334,
-0.15782040357589722,
-0.8301864862442017,
0.5597226619720459,
-1.1259162425994873,
0.32645097374916077,
... |
Instructions: 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.
Input: Ang paglilitis sa korte para sa nahuling lalake sa Montreal ay sa darating na Miyerkules.
Output: | 水曜日にモントリオールで男に対する法廷のヒアリングが開かれる。 | 3 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.7127475738525391,
0.12204669415950775,
-0.10783986747264862,
-0.737209677696228,
-0.00878366269171238,
-0.16707734763622284,
0.6944984197616577,
0.14388221502304077,
0.007088912185281515,
-0.5573837757110596,
-0.9034985899925232,
0.3258323073387146,
-0.8149945139884949,
1.07615876197814... |
Teacher: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious o... | non-religious | 2 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.4385068416595459,
0.012519516982138157,
0.3662192225456238,
0.03930644318461418,
-0.773963212966919,
-0.8896818161010742,
0.3423711657524109,
0.5517545342445374,
-0.22119732201099396,
0.11250726878643036,
-0.39039820432662964,
-0.13530589640140533,
-0.38923490047454834,
-0.3907620012760... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive v... | Neutral | 0 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-1.0020792484283447,
0.2461898773908615,
0.253475546836853,
0.29618310928344727,
0.21116691827774048,
-0.626401424407959,
1.2047579288482666,
0.18051956593990326,
0.5482837557792664,
0.32285308837890625,
-0.15570583939552307,
0.34165048599243164,
-0.20360615849494934,
0.09464532136917114,
... |
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRa... | name[Browns Cambridge], food[English], priceRange[high], customer rating[average] | 4 | NIv2 | task958_e2e_nlg_text_generation_parse | zs_opt | [
-0.5618640184402466,
0.42627036571502686,
-0.04849645495414734,
-0.5797576904296875,
0.023606210947036743,
-0.8234858512878418,
0.8025864362716675,
0.256927490234375,
0.0199904628098011,
-0.0791245847940445,
0.6248151063919067,
-0.35205623507499695,
-0.7449984550476074,
-0.1841475069522857... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Q: name[xname], recommend[yes], cuisine[English], location[Manhattan], price[cheap], service[bad]
A: | xname is the best restaurant because it has rude service, but xname is cheap though. It is a English place. It is in Manhattan. | 4 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.5859429240226746,
0.6868934035301208,
-0.315909743309021,
-0.18390023708343506,
-0.1891675591468811,
-0.29235297441482544,
0.5038783550262451,
0.28241199254989624,
-0.015171164646744728,
-0.23988443613052368,
0.423664391040802,
-0.6432944536209106,
-0.7661534547805786,
0.044182844460010... |
Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emot... | No emotion,happiness | 3 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.6070221066474915,
0.365005224943161,
-0.12316027283668518,
-0.5386991500854492,
-0.008087635040283203,
-0.10153958201408386,
1.0379056930541992,
-0.4858136475086212,
0.07622995972633362,
-0.40645498037338257,
-0.07879868149757385,
-0.36467063426971436,
-0.6016380190849304,
0.74412715435... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Example Input: وبسبب ذلك خرج إلى النور تخصص طب الأطفال.
Example Output: و درواقع از بابت همین است که طب مخصوص کودکان شکل گرفت.
Example Input: لا يمكن أن يكون جميعنا أفضل من كل الأفراد الأخرين.
Example Output: همه ما نمی تونیم... | این موضوع باعث شد که من درباره یکی از کاشفان مورد علاقه ام در تاریخ زیست شناسی فکر کنم.
| 3 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.8109291791915894,
0.11300227046012878,
-0.42584675550460815,
-0.4482420086860657,
-0.8640669584274292,
0.525754988193512,
0.6790857315063477,
0.4561655521392822,
0.9677563905715942,
-0.12180936336517334,
-0.92448490858078,
0.6192672252655029,
-1.0907520055770874,
0.24508272111415863,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
And before them, the people of Noah, for that they were (all) most unjust and most insolent transgressors,
| وقوم نوح را پیشتر [هلاک کرد]؛ زیرا آنان ستمکارتر و سرکشتر بودند | 5 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.760339081287384,
0.9588549137115479,
-0.05264272540807724,
-0.5753229856491089,
-0.324988454580307,
0.27886226773262024,
0.19871485233306885,
0.6001874804496765,
0.5345710515975952,
0.7073217630386353,
-0.38808751106262207,
0.30204471945762634,
-0.6046808958053589,
-0.239436075091362,
... |
Detailed Instructions: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movi... | Why does Shrek want someone other than him to be king? | 9 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.9291878342628479,
0.5655210018157959,
-0.5584621429443359,
-0.5610449314117432,
0.14235398173332214,
-0.34888678789138794,
0.16550230979919434,
0.5505024194717407,
-0.4338693916797638,
0.004426551051437855,
0.37180113792419434,
0.2704208791255951,
-0.7656118869781494,
0.02953562699258327... |
Q: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce th... | Canyon formed as a consequence of river erosion. | 7 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.09973430633544922,
0.6272291541099548,
-0.42800772190093994,
-0.29354017972946167,
-0.32221823930740356,
-1.190171480178833,
-0.1924232840538025,
1.0204137563705444,
-0.12399108707904816,
-0.0713675320148468,
-0.8374234437942505,
0.720962643623352,
-0.6954267024993896,
0.075209110975265... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Correct
| 1 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.14149439334869385,
0.13349750638008118,
-0.4170690178871155,
0.4249255657196045,
0.49721023440361023,
-0.8901128768920898,
0.20472171902656555,
0.575283408164978,
-0.1406264752149582,
-0.11524549126625061,
-0.4528822600841522,
0.40344923734664917,
-0.5775127410888672,
-0.494577944278717... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of strings and you need to concatenate them.
Example: ['a', 'b', 'c']
Output: abc
The strings 'a', 'b', 'c', got concatenated into the string 'abc'. So this is a good example.
New input case for you: ['B'... | BQSplaintiffs.zQU | 1 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.08973675966262817,
0.8862065672874451,
-0.5627157688140869,
-0.3379514813423157,
0.2608855664730072,
-0.006614861078560352,
0.37596583366394043,
0.3326413631439209,
0.16106604039669037,
0.2673787474632263,
0.16359375417232513,
0.08891189098358154,
0.18834885954856873,
-0.212414830923080... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
אם נביט בתמונה האחרת, שמראה את זרימת אדי המים, יש לכם אזורים יבשים בשחור, אזורים לחים באפור, ועננים בלבן.
A: | إن ألقينا النظر على هذه الصورة الأخرى ، التي تبين تدفق البخار المائي ، الهواء الجاف بالاسود ، و الهواء الرطب بالرمادي ، و الغيوم بالأبيض | 7 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.7634475827217102,
0.3382304906845093,
-0.2722240090370178,
-1.0958027839660645,
-0.36460039019584656,
0.458391934633255,
0.6288816332817078,
0.42568716406822205,
0.1718350648880005,
0.5246567726135254,
-0.693354606628418,
-0.2546365261077881,
-0.9732500314712524,
0.37737274169921875,
... |
Given the task definition and input, reply with output. You are given a statement written in Gujarati. 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 .
Statement: પાંતા (તા. વિરપુર) <MASK> દેશના પશ્ચિમ ભાગમાં... | ભારત | 5 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.30846068263053894,
0.93694669008255,
0.28191080689430237,
0.5830957889556885,
-0.07149018347263336,
0.18027037382125854,
0.020938850939273834,
1.307443618774414,
0.10290783643722534,
-0.13168910145759583,
-0.547477126121521,
0.12214815616607666,
-0.39101535081863403,
0.05467180162668228,... |
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