inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: In-N-Out is like the sunshine and blue sky. The song of a bird. ... | false
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.3217928409576416,
1.3962559700012207,
0.19942833483219147,
0.21527743339538574,
-0.672622799873352,
-0.7407984137535095,
0.19138062000274658,
0.6816389560699463,
0.49301213026046753,
0.49248313903808594,
-0.2671210765838623,
-0.36852580308914185,
-0.6264113783836365,
-0.850756824016571,... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: THE OLYMPICS
Clue: Of the 5 continents symbolized by Olympic rings, only one never ... | africa | 0 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-0.19280603528022766,
0.8866548538208008,
-1.0002589225769043,
0.3239057660102844,
-0.3683137595653534,
-0.26027411222457886,
0.14197921752929688,
-0.03853877633810043,
-0.07321906089782715,
-0.9547170400619507,
-0.9237502813339233,
-0.18776294589042664,
-0.2849918603897095,
0.476669371128... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that a consent to search is not an interrogation within the meaning of miranda | 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.491852730512619,
0.25296059250831604,
-0.5241147875785828,
0.09799627959728241,
0.038380205631256104,
-1.3621336221694946,
0.6786513328552246,
0.512336254119873,
-0.5681865215301514,
-0.16428440809249878,
-0.2246522456407547,
-0.27909964323043823,
-0.5001475214958191,
-0.0079429633915424... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Ale to inna historia.
| Mas isso é outra história, talvez. | 5 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.7537187337875366,
1.2033634185791016,
-0.07341086119413376,
0.6525442004203796,
-0.8485641479492188,
0.13250604271888733,
-0.0357510969042778,
0.1757347285747528,
-0.2769603133201599,
-0.5023316144943237,
-0.48684024810791016,
0.552077054977417,
-0.19434377551078796,
-0.1702187806367874... |
Q: This task is about translating a given English language sentence to French.
It is true that sometimes people produce free hardware, but it has one binary blob, that does not mean that we should not thank this person and give them credit, in fact, to really praise them for putting in so much effort to make everything... | Il est vrai que des fois les gens font du matériel libre et du logiciel libre, mais il a un blob propriétaire, cela ne veut pas dire qu'on ne devrait pas remercier cette personne, et les créditer pour ça, en fait, vraiment les louer pour donner autant d'efforts pour faire des choses les plus libres possibles, et c'est ... | 7 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.42661431431770325,
0.42047783732414246,
-0.16972984373569489,
0.30350393056869507,
0.48873865604400635,
-1.0537605285644531,
0.07274320721626282,
0.1416967213153839,
0.3932441771030426,
0.023187067359685898,
-0.28889200091362,
-0.010929401963949203,
0.6363494396209717,
-0.10703816264867... |
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.
[EX Q]: Category: OVERLAPS
Clue: Reddish-brown poisonous U.S. snake that leads the RNs at a h... | the franco-prussian war
| 6 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-1.029932975769043,
0.6975831985473633,
-0.7111326456069946,
-0.1678376942873001,
-0.49410882592201233,
0.42109695076942444,
0.41729843616485596,
-0.0907227173447609,
0.2546723484992981,
-0.03966958075761795,
-0.24469269812107086,
0.7387253046035767,
-0.5160378217697144,
0.4970478415489197... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: Consider Input: Somnambulism, or sleepwalking, is a parasomnia of non-rapid eye movement (NREM) sleep where movement behaviours usually confined to wakefulness are displa... | Output: Evolution and function of ubiquitin-like protein-conjugation systems
| 2 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.11576400697231293,
0.2815700173377991,
-0.13659381866455078,
-0.5192386507987976,
0.15976747870445251,
0.11804792284965515,
-0.18038542568683624,
1.1408945322036743,
-0.4213849902153015,
0.08293849229812622,
-0.29573705792427063,
0.41517630219459534,
-0.7825314998626709,
-0.0251701511442... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
One example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Solution is here: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować... | To też spory problem. | 6 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3661763072013855,
0.8749761581420898,
0.36581307649612427,
-0.1005120649933815,
-0.5389971137046814,
0.28405696153640747,
1.4463927745819092,
-0.269670307636261,
0.13471947610378265,
-0.751704216003418,
-1.2781853675842285,
1.1192430257797241,
-0.6712747812271118,
0.5551818609237671,
... |
Given a sentence in French, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Input: Consider Input: Lorsque Patrick Logan arrive à Wisteria Lane, il écrase Nick.
Output: Patrick LoganがWisteria Laneに到着すると、彼はNickを倒します。
Input: Cons... | Output: South Arm TownshipはCharlevoix County南部に位置し、Antrim Countyと南西に接しています。
| 2 | NIv2 | task794_pawsx_french_japanese_translation | fs_opt | [
-0.14631161093711853,
0.22386223077774048,
-0.3724074363708496,
-0.5014813542366028,
0.4775002598762512,
-0.3572671413421631,
0.47512680292129517,
-0.1352728307247162,
0.3355531096458435,
0.2776169776916504,
0.5050086379051208,
0.6478039622306824,
-0.5548517107963562,
-0.05890330299735069,... |
Q: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
さらなる効果は、上述の誘拐にベネズエラ人が関与している可能性を疑わしいものにしようというフーゴ・チャベス大統領の行動への国際的な名声を減らそう... | An additional effect is to reduce the international prestige of the conduct of President Hugo Chávez creating doubts about a possible Venezuelan implication in said kidnapping. | 7 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.22330039739608765,
0.20541197061538696,
0.8719189167022705,
-0.47516191005706787,
0.4203881025314331,
-0.2287929505109787,
0.768240213394165,
0.6114206910133362,
-0.3087751865386963,
-0.08887840807437897,
-0.9455593824386597,
0.10249525308609009,
-0.9006654024124146,
-0.3497613668441772... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Q: - Bericht: Oomen-Ruijten
A: | - Oomen-Ruijten report | 4 | NIv2 | task271_europarl_translation | zs_opt | [
-0.12220364809036255,
1.455530047416687,
-0.016561804339289665,
-0.6500024199485779,
-0.061611175537109375,
-0.6370341777801514,
0.4262610673904419,
0.08617667853832245,
1.5218957662582397,
-0.8209600448608398,
-0.34413307905197144,
0.8329545259475708,
-0.756683886051178,
-0.15068998932838... |
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.... | [535]
| 1 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.8244186043739319,
-0.22103476524353027,
-0.5843232274055481,
-0.4339194595813751,
-0.23762445151805878,
0.10540533065795898,
0.13965387642383575,
0.5591477155685425,
-0.6530740857124329,
-0.13474300503730774,
-0.7319271564483643,
0.02158966474235058,
-0.5200222134590149,
-0.414101421833... |
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 write the character's motivation by doing a specific job, which is given in the sentence. Y... | None
| 5 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.2767508625984192,
0.41881799697875977,
-0.35269486904144287,
-0.05453920364379883,
0.03378191217780113,
-0.4242702126502991,
0.35860955715179443,
0.6907433867454529,
0.18220506608486176,
0.015190922655165195,
-0.2495621144771576,
0.25946736335754395,
-0.34968093037605286,
0.213193714618... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Profession | 0 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.19611424207687378,
0.46665316820144653,
-0.2111758589744568,
0.4977216124534607,
0.16373032331466675,
0.4284672439098358,
0.4836971163749695,
0.4273870885372162,
0.6545672416687012,
-0.16750526428222656,
-0.9354864954948425,
-0.09005141258239746,
-0.39356136322021484,
-0.208149492740631... |
In this task, you are given books product reviews in Japanese 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.
今回はマリアメインの巻 . ゲームでいうと第２話のマリアメインの話が中心です。 大神が黒之巣会の敵と光武に乗らずに真っ向から戦う珍しいシーンもあります。 おおまかにゲーム通りの... | POS | 0 | NIv2 | task485_cls_japanese_books_classification | zs_opt | [
0.28557485342025757,
-0.04958036541938782,
-0.352792888879776,
-0.38286149501800537,
-0.03207928687334061,
-0.709933876991272,
0.904561460018158,
0.2331620454788208,
0.18263983726501465,
0.2501016855239868,
-0.5566730499267578,
-0.2218591570854187,
-0.3573433458805084,
0.2884896397590637,
... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
कुछ विशिष्ट व्यक़्तियों से निर्मित बचाव परिषद् ने प्रिवी काउंसिल में ए... | The defence council composed of prominent public men decied to file a petition to the Privy Council to challenge firstly , the legality of the ordinance appointing a Special Tribunal and secondly to disseminate knowledge and give publicity abroad of India 's struggle for freedom . | 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
0.1710432767868042,
0.6329147219657898,
0.6355031728744507,
-0.04319743812084198,
0.01690828427672386,
-1.1445224285125732,
0.38560816645622253,
0.473092645406723,
-0.3378773331642151,
-0.12374219298362732,
-0.9614208340644836,
0.029354803264141083,
-0.547099232673645,
0.4002701938152313,
... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: Sweat wets the skin, and when it evaporates, it cools the body., Fact2: Skin is hot and red, but wet with sweat., Question: t... | H | 9 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.15923729538917542,
0.38487064838409424,
-0.6990994215011597,
0.4768880009651184,
-0.39820802211761475,
-1.5826504230499268,
-0.20453161001205444,
0.9145485162734985,
0.18289348483085632,
-0.4407998323440552,
-0.4016769230365753,
-0.3560843765735626,
-0.6226850748062134,
-0.4597920775413... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not ref... | Yes | 8 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.062995195388794,
0.17052148282527924,
0.24510468542575836,
0.2812168002128601,
-0.11073817312717438,
-0.13728828728199005,
0.45976465940475464,
0.15581408143043518,
0.2844685912132263,
0.2886541783809662,
0.03711344301700592,
0.05588098242878914,
-0.341818243265152,
-0.6722508668899536,... |
In this task, you are given music product reviews in French 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.
Input: Consider Input: Le premier CD d'anti-flag! Une bombe! . Le premier album d'anti-fla... | Output: NEG
| 2 | NIv2 | task484_cls_french_music_classification | fs_opt | [
0.6504788398742676,
0.24759015440940857,
-0.9006136655807495,
-0.15480616688728333,
0.20943842828273773,
-0.6406348943710327,
1.3558120727539062,
0.4370981454849243,
0.21882441639900208,
0.8224803805351257,
-0.521983802318573,
-0.4483189582824707,
-0.7364574670791626,
-0.3985844850540161,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 3 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.5853018760681152,
-0.17184734344482422,
0.32409757375717163,
0.0442013293504715,
0.09810036420822144,
-1.1142306327819824,
1.200793743133545,
0.6168637275695801,
-1.1132973432540894,
-0.33567237854003906,
-0.49433499574661255,
-0.3284812867641449,
-0.5846444964408875,
0.15652605891227722... |
instruction:
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
question:
Dialogue 1: 'u r comparing me with ur cat loll no i mean dogs do it quite oft... | yes
| 9 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.8749973773956299,
-0.07929281145334244,
0.3062087893486023,
-0.39734357595443726,
-0.29942888021469116,
0.1738782823085785,
0.9213159084320068,
0.09694979339838028,
-0.10565665364265442,
-0.36386528611183167,
0.36153364181518555,
-0.38910841941833496,
-0.3231853246688843,
0.200827807188... |
instruction:
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "In... | Inversion
| 9 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.07409316301345825,
0.7944804430007935,
0.2189599573612213,
0.04304901883006096,
0.010221024975180626,
-0.5678725242614746,
0.5505930185317993,
0.735889196395874,
-0.4205740690231323,
-0.11435025185346603,
-0.4756988286972046,
-0.59578537940979,
-1.0499922037124634,
-0.13485364615917206,... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | At the end of the passage , what level is the narrator 's blood sugar likely at ? | 0 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.7351243495941162,
0.14258411526679993,
0.01485297828912735,
0.1325213760137558,
-0.23594477772712708,
-0.24324896931648254,
0.39732983708381653,
0.5403109788894653,
0.12628738582134247,
0.10609865933656693,
-0.4608103334903717,
-0.1989649385213852,
-0.6660038232803345,
0.4678553342819214... |
Detailed Instructions: 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.
Problem:7, 7, ... | 2515 | 8 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.5115141868591309,
0.8763089776039124,
-0.2955523133277893,
-0.34347084164619446,
-0.26006370782852173,
-0.4452084004878998,
0.664160430431366,
-0.22029075026512146,
-0.3380286693572998,
-0.21001608669757843,
-0.3851774036884308,
0.2710300087928772,
-0.02390056475996971,
0.05304394289851... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
(Śmiech) Przeniosę was do początku lat 60.
| (Risate) Torniamo ai primi anni '60. | 5 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.9027769565582275,
1.416455626487732,
0.3296942114830017,
-0.19065029919147491,
-0.5612438321113586,
0.09333954751491547,
0.8605321645736694,
-0.2796028256416321,
0.7572872042655945,
-0.658937931060791,
-0.38039666414260864,
0.9376410841941833,
-0.594102144241333,
0.3827909231185913,
0... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Example: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a j... | Solution: Answer: His barn. | 5 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.7601498365402222,
0.6502059698104858,
-0.44318991899490356,
-0.11192280799150467,
0.27441906929016113,
-0.5398761034011841,
0.4139063060283661,
0.6730457544326782,
0.2718966603279114,
0.2104387730360031,
-0.6555367112159729,
0.47618621587753296,
-0.34808939695358276,
0.09896823018789291,... |
You will be given a definition of a task first, then some input of the task.
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 g... | 1 | 1 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.26198136806488037,
-0.17795225977897644,
0.5459357500076294,
-0.5386413335800171,
0.5584399700164795,
0.052001725882291794,
0.8376473188400269,
0.8325364589691162,
-0.5386519432067871,
0.32911115884780884,
0.07736607640981674,
-0.3140198588371277,
-0.7268824577331543,
-0.062872871756553... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: Sentence:... | Identifiable
****
| 4 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.6860806941986084,
0.6310272812843323,
-0.06695802509784698,
-0.15579405426979065,
0.34697580337524414,
-0.027421649545431137,
-0.7522211074829102,
1.0728684663772583,
0.3146945536136627,
0.22351917624473572,
-0.7483576536178589,
-0.016260908916592598,
-0.009986840188503265,
-0.339019805... |
You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words provi... | eagle, eggs, dry, nest., animal, lays, eggs, similar, eagle?
| 1 | NIv2 | task044_essential_terms_identifying_essential_words | fs_opt | [
0.2579408288002014,
0.22659581899642944,
-0.4907589554786682,
0.23834024369716644,
-0.3001245856285095,
-1.0446877479553223,
0.5429632663726807,
0.5421226024627686,
-0.7218971252441406,
0.194962739944458,
0.3117195963859558,
0.13012146949768066,
-1.0656925439834595,
-0.10772887617349625,
... |
Q: In this task, we ask you to write an answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Note that a lot of the questions could have more tha... | 2 years. | 7 | NIv2 | task004_mctaco_answer_generation_event_duration | zs_opt | [
0.5924768447875977,
0.9674919843673706,
0.6042602062225342,
-0.7376528978347778,
-0.7122466564178467,
-0.2474953830242157,
-0.03372946381568909,
0.5005717277526855,
-0.010543854907155037,
-0.05795598030090332,
0.058058932423591614,
0.5918871760368347,
-0.6348831653594971,
0.197657421231269... |
Definition: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norweg... | Denne gikk med noen få, avbrutte ord til takk, men stanset plutselig og kom tvilrådig tilbake. | 2 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.6145823001861572,
0.06873040646314621,
0.3743293881416321,
0.09184909611940384,
0.0058467453345656395,
-0.44616228342056274,
1.5416723489761353,
-0.6257045865058899,
0.0551668219268322,
-0.6968783140182495,
-0.2593318521976471,
0.5330820679664612,
-1.053863286972046,
0.34414753317832947... |
Part 1. Definition
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Part 2. Example
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an A... | yes | 7 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.6777352690696716,
0.43724822998046875,
-0.8111191391944885,
1.024903416633606,
0.568061351776123,
-0.0593726709485054,
0.6467989683151245,
0.4682855010032654,
-0.05018108710646629,
0.4527702331542969,
-0.04350467398762703,
0.4218180775642395,
-0.9574187994003296,
0.025233982130885124,
... |
Teacher: You are given a statement written in Telugu. 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? If you are still confused, see the following example:
Statement: ఇది... | అల్బేనియన్ | 2 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
1.229298710823059,
0.9300798773765564,
-0.2597275376319885,
0.044983915984630585,
0.5025875568389893,
-0.9150609970092773,
0.7178192138671875,
1.0082991123199463,
-0.027029618620872498,
-0.007953302934765816,
0.2718896269798279,
0.5452184677124023,
-0.569451093673706,
-0.41809797286987305,... |
Instructions: 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.
Input: Comment: Bet the ranch that ... | Non-threat | 3 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.9002885818481445,
0.5487892031669617,
0.6245205402374268,
0.056874703615903854,
-0.2403225302696228,
0.022466322407126427,
1.3170621395111084,
0.9100875854492188,
-0.2502618432044983,
-0.11969374120235443,
-0.43128064274787903,
0.13034790754318237,
-0.6494661569595337,
-0.16050389409065... |
Q: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
AC_Hotel_Bella_Sky_Copenhagen | location | Denmark
Marriott_Internatio... | A key person at Marriott International which was founded in Washington DC, is Bill Marriott. Marriott International is a tenant of AC Hotel Bella Sky in Copenhagen, Demark. | 7 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.6255590915679932,
0.7229853272438049,
-0.3363036811351776,
-1.4569834470748901,
-0.6434196829795837,
0.07652275264263153,
0.9065479040145874,
-0.23074494302272797,
0.4504506587982178,
-0.04850948601961136,
0.005709532182663679,
0.8294436931610107,
-0.5860274434089661,
0.0703041628003120... |
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... | [234, 72, 297, 138, 132, 184, 222] | 4 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-0.8390333652496338,
0.09886473417282104,
-0.1340758204460144,
-0.46916359663009644,
0.20629066228866577,
0.19950807094573975,
1.1969572305679321,
0.24826321005821228,
-0.6589112281799316,
0.4801487326622009,
-0.49357467889785767,
0.2373734414577484,
-0.285704642534256,
-0.3395675718784332... |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
One example: Question: トム少佐は武器の保存を望んでいた 彼らが危険であるのと同様に 彼は将来的には何ができるのかを 感じていました
Options: (A) 街路 ... | D | 6 | NIv2 | task1145_xcsr_jap_commonsense_mc_classification | fs_opt | [
-0.07648375630378723,
0.11115936934947968,
-0.09701214730739594,
-0.21625547111034393,
0.03437480702996254,
-0.6128587126731873,
0.44599202275276184,
0.3660997152328491,
0.3472873568534851,
-0.22536879777908325,
-0.24908483028411865,
0.4364107549190521,
-0.08219294995069504,
-0.45962828397... |
Detailed Instructions: In this task, you are given a question. You have to answer the question based on your information.
Q: did Marty Riessen and Rennae Stubbs both play tennis professionally ?
A: | yes | 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.05476868897676468,
1.2577853202819824,
-0.10933747887611389,
-0.13465899229049683,
0.11911828815937042,
0.004327419213950634,
0.6287323236465454,
-0.04410459101200104,
1.0005879402160645,
0.6063258051872253,
-0.3610556125640869,
0.7944657802581787,
-0.14747042953968048,
-0.5631372928619... |
TASK DEFINITION: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding re... | 5/969
| 8 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
0.8697936534881592,
-0.38656166195869446,
-0.42342668771743774,
-0.1428544819355011,
0.3825361728668213,
-0.5742920637130737,
0.6143928170204163,
0.14412140846252441,
-0.282650351524353,
-0.28389760851860046,
-0.7319581508636475,
0.6020359396934509,
-0.4433251619338989,
0.22237443923950195... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
question:
او نامش دیوید بود و ده ساله. او دوست داشت که یک دکتر باشد ،
answer:
que dí: "" David, idade 10 anos. "" David, a súa ambición: ser doutor.
question:
چی می شد اگه به جای نژاد به عنوان یه نماد خام از ی... | Síntome máis lixeira.
| 9 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.0088728666305542,
0.4157634973526001,
-0.6915168166160583,
-1.395940899848938,
-1.1932923793792725,
-0.8553115725517273,
0.7700432538986206,
0.4183422327041626,
0.31301406025886536,
0.11675648391246796,
-0.7799310684204102,
0.5413114428520203,
-1.134493112564087,
0.37238216400146484,
... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: อิตาลีได้เอาชนะโปร... | ไวร์นิวส์กล่าวถึงการโจมตีในครั้งนี้อาจจะเป็นการโจมตีทางคอมพิวเตอร์ครั้งแรกในประวัติศาสตร์ ซึ่งก่อให้เกิดความเสียหายและอันตรายต่อร่างกายของผู้ที่ได้รับผลกระทบ | 4 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.06962119042873383,
0.39789754152297974,
-0.8463643789291382,
0.46321365237236023,
-0.21532991528511047,
-0.7466099858283997,
0.3366518020629883,
0.3812302350997925,
0.07108989357948303,
-0.2306719720363617,
-0.7650061845779419,
1.040174961090088,
-0.35021018981933594,
1.017338514328003,
... |
Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: the average of 20 results is 65 and the average of other 65 results is 20 . what is the average of all the results ?
Options: a ) 30 , b ) 25 , ... | a | 3 | NIv2 | task1420_mathqa_general | zs_opt | [
0.18302945792675018,
0.4471879005432129,
-0.6704987287521362,
-0.9955958724021912,
0.20636272430419922,
-0.09099014103412628,
0.7107970714569092,
0.7928850650787354,
-0.03549677133560181,
-0.2443251758813858,
-0.7784820795059204,
0.8386642932891846,
-0.42778927087783813,
-0.363143205642700... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | c
| 6 | NIv2 | task231_iirc_link_classification | fs_opt | [
1.0146937370300293,
0.41721418499946594,
-0.7744379043579102,
0.15867552161216736,
0.3537057042121887,
-0.6502071619033813,
0.6695431470870972,
0.7346282005310059,
-0.22975243628025055,
0.9279691576957703,
-0.10454563796520233,
0.5019286274909973,
-0.23707807064056396,
0.5293519496917725,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
[EX Q]: Porque se non o fai, as forzas centrífugas que se desencadearán serán demoníacas, e destruirán a Unión Europea.
[EX A]: چون اگراینگونه شود ، نیروهای گریزی که بوجود خواهند آمد بسیار خطرناک خواهند بود ، و اتحادیه ارو... | چی می شد اگه دکترها به خط مقدم ملحق می شدن در حرکت برای خاتمه دادن به نابرابری های ساختاری ناشی از نژادپرستی ، و نه بر اساس تفاوت های ژنتیک ؟
| 6 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.5336359739303589,
0.9756555557250977,
-0.0652972087264061,
-0.14256219565868378,
-0.5892692804336548,
-0.6655776500701904,
0.21083977818489075,
0.8315469026565552,
0.07996390759944916,
0.12668532133102417,
-0.7667136192321777,
0.37669408321380615,
-0.4677596688270569,
-0.010960772633552... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tag... | NN | 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.7299752235412598,
0.44071316719055176,
-0.6052087545394897,
0.618141770362854,
-0.30412960052490234,
-0.5331307649612427,
0.8526102900505066,
0.6442046761512756,
-0.5257149934768677,
0.20767810940742493,
-0.5992696285247803,
0.406521737575531,
0.07452377676963806,
-0.17926320433616638,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
See one example bel... | Non-toxic | 4 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.17680585384368896,
0.21457050740718842,
0.8000600934028625,
0.18381747603416443,
0.08705063909292221,
-0.5596950054168701,
0.326359361410141,
0.35933390259742737,
0.09280563145875931,
0.7726616263389587,
-0.09638505429029465,
-0.5303723812103271,
-0.7047914862632751,
-1.1690783500671387... |
TASK DEFINITION: In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
PROBLEM: A gap of £1.6 million in required funding remains a concern the local Comhairle nan Eilean Siar (previously, Western Isles Council) is actively seeking help from both Europe and the S... | "Lahat ng mga pagtataya na mayroon kami mula sa mga modelo ng klima ay aming inaasahang magpapatuloy na iinit sa loob ng ika-21 siglo," aniya.
| 8 | NIv2 | task559_alt_translation_en_fi | fs_opt | [
-0.43804365396499634,
0.5393013954162598,
0.4279863238334656,
-0.5695674419403076,
0.2551056742668152,
-0.6765561699867249,
1.270385980606079,
0.1220255121588707,
-0.05714312568306923,
-0.38007616996765137,
0.556174635887146,
0.6155879497528076,
-0.6295095682144165,
0.4404614269733429,
0... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a singl... | 3 | 1 | NIv2 | task1445_closest_integers | fs_opt | [
-0.6294398307800293,
0.26751184463500977,
-0.17540869116783142,
0.3191652297973633,
0.08578282594680786,
-0.011694619432091713,
0.785565197467804,
0.5090009570121765,
0.3498266935348511,
0.026149194687604904,
-0.24989941716194153,
-0.2831626236438751,
-0.20825228095054626,
-0.4748000204563... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | What may be the reason for the man saying what he does ?
| 7 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.430249959230423,
0.34654706716537476,
-0.5108823776245117,
0.38640379905700684,
0.011093164794147015,
-0.41362497210502625,
0.1067228615283966,
1.0054357051849365,
0.21460609138011932,
-0.04826493561267853,
-0.4239130914211273,
-0.05234822630882263,
-0.5466101169586182,
0.138768315315246... |
Part 1. Definition
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, t... | N | 7 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.9434921741485596,
0.4339190125465393,
0.2773548364639282,
-0.8099545240402222,
0.17821508646011353,
0.3070265054702759,
0.21785351634025574,
0.34584954380989075,
0.4708617627620697,
-0.2773783206939697,
-0.7077918648719788,
-0.011378204450011253,
-0.6138788461685181,
-0.3536533713340759... |
Teacher: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research qu... | finding | 2 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.10057507455348969,
0.4218234419822693,
0.051185037940740585,
-0.013627625070512295,
0.4989810585975647,
-0.32960188388824463,
-0.3306346833705902,
1.0608057975769043,
0.0644545927643776,
0.5020091533660889,
-0.7669718265533447,
-0.34951165318489075,
0.3620705008506775,
-0.21560363471508... |
TASK DEFINITION: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as... | neutral
| 8 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
0.4620347023010254,
0.3128645420074463,
-0.01626652479171753,
0.031538479030132294,
-0.33213967084884644,
-0.7275890707969666,
0.7230710983276367,
0.8124890327453613,
0.18042190372943878,
-0.39060643315315247,
-0.5104309916496277,
-0.24479690194129944,
-0.1670665293931961,
-0.2186547815799... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c... | It is early morning. | 8 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.20977474749088287,
0.700361430644989,
0.3721122145652771,
-1.0409207344055176,
0.2774803042411804,
-0.722298264503479,
-0.36349329352378845,
0.7510538101196289,
0.21258486807346344,
-0.4419386386871338,
-0.33899569511413574,
-0.26036980748176575,
-0.8936446905136108,
-0.6368568539619446... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Abbiamo identificato le 50 macchine più importanti che riteniamo servano per far esistere la vita moderna — cose che vanno dai trattori, ai forni per il pane, a creatori di circuiti.
A: | Identificámos as 50 máquinas mais importantes que achamos que fazem falta para que exista a vida moderna; coisas como tractores, fornos de pão, construtores de circuitos. | 4 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
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-... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | False | 3 | NIv2 | task1187_politifact_classification | fs_opt | [
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Definition: 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 odd 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 odd numbers in an inner li... | [-35, 3619, 27, 5, 59241, 7, 13, -27, 15525, -247, 45, 37665, -21, 15] | 2 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.2298807054758072,
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Given the task definition and input, reply with output. 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 classificat... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'N... | 5 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
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Definition: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Input: Sentence 1: Amy's dog was a troublemaker. Sentence 2: When she left for work, he ... | a | 2 | NIv2 | task220_rocstories_title_classification | zs_opt | [
0.0031997067853808403,
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-0.1657496690750122,
-0.10939569771289825,
0.0798099189... |
TASK DEFINITION: In this task, you are given dvd product reviews in German 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.
PROBLEM: Nur für ganz harte Gemüter! Der reine Horror. . Ich habe den Film v... | POS
| 8 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
-0.07452935725450516,
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In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | a | 6 | NIv2 | task231_iirc_link_classification | fs_opt | [
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0.2874939441680908,
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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.
Example: Context: Tracy didn't go home that evening and resisted Riley'... | Solution: No | 5 | NIv2 | task579_socialiqa_classification | fs_opt | [
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer ... | Female | 0 | NIv2 | task340_winomt_classification_gender_pro | fs_opt | [
-1.0267220735549927,
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Q: 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.
Ang Edware Road na tren, aalis para sa Paddington at pati na rin sa Circle, ay sumabog sa kabila at isang tren na padating mula sa ibang bahagi... | 環状線をパディントンに向けて出発したエッジウェアロード電車が、他の方向から来る電車に向かって爆発したが、人々は最初脱線したと思った。 | 7 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.31513965129852295,
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Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Q: You can make a choice about your privacy not described by our label scheme the use ... | Unspecified | 4 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.8650751113891602,
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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 1901, H.G. Wells, an Engli... | No | 0 | NIv2 | task310_race_classification | zs_opt | [
0.29955336451530457,
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Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીએ કેરળના મુખ્યમંત્રી શ્રી પિનારાયી વિજયન સાથે રાજ્યમા... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਨੇ ਕੇਰਲ ਦੇ ਮੁੱਖ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਪੀਨਾਰਾਈ ਵਿਜਯਨ (Shri Pinarayi Vijayan) ਨਾਲ ਰਾਜ ਵਿੱਚ ਹੜ੍ਹ ਦੀ ਸਥਿਤੀ ਬਾਰੇ ਗੱਲਬਾਤ ਕੀਤੀ ਹੈ। | 6 | NIv2 | task1043_pib_translation_gujarati_punjabi | zs_opt | [
-0.12557321786880493,
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0.2693622708... |
Teacher: 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 sele... | ac | 2 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.03613917529582977,
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0.3182733654975891,
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Given the task definition and input, reply with output. In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given que... | No. | 5 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
1.073606252670288,
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... |
instruction:
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'.
question:
Passage: Pearsall made h... | Answer: Belgium
| 9 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.8508373498916626,
0.7918060421943665,
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... |
In this task you will be given a list of strings and you need to concatenate them.
One example: ['a', 'b', 'c']
Solution is here: abc
Explanation: The strings 'a', 'b', 'c', got concatenated into the string 'abc'. So this is a good example.
Now, solve this: ['he', 'c', 'generally', 'q', 'these', 'b']
Solution: | hecgenerallyqtheseb | 6 | NIv2 | task079_conala_concat_strings | fs_opt | [
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... |
Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Ej btw co to za czwartki z social media co udostępniałaś na fb?? Byłaś na czymś takim? , Question: Is the tweet free of any cyberbullying (harmful) conten... | Yes | 9 | NIv2 | task839_cdt_classification | zs_opt | [
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... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
به نظرم این در واقع چکیده فهمیدن چیزی است.
Pienso que esta es la esencia de entender algo.
آنچه که اون میگه همچین چیزیه ، میگه: "" اون داره بمن میگه قبل از مرگش مشکل تنفس داشته. "" آنچه که اون میگه همچین چیزیه ، میگه: "" او... | El interés supremo de la ley común son los derechos a la autonomía y a la autodeterminación.
| 0 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
0.18786725401878357,
1.2041761875152588,
0.05058366432785988,
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Part 1. Definition
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets su... | Against | 7 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.13310222327709198,
0.6141767501831055,
0.10688795149326324,
0.5740256309509277,
-0.31293797492980957,
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0.15600627660751343,
0.9327581524848938,
0.12144336104393005,
0.4437573552131653,
-0.6312196254730225,
-0.3311266601085663,
0.13595050573349,
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... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". 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., second enti... | no
| 7 | NIv2 | task472_haspart_classification | fs_opt | [
-0.3499636948108673,
0.6267200112342834,
0.5435006618499756,
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... |
Part 1. Definition
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes... | Response 2 | 7 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.09721918404102325,
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-0.6776757836341858,
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0.295545756816864,
0... |
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 considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Q: Review: I am a huge... | True
****
| 4 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
0.12274962663650513,
-0.23854553699493408,
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0.2801530659198761,
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1.0556566715240479,
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0.1127428263425827,
0.20429828763008118,
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-0.4628005027770996,... |
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 write the character's motivation by doing a specific job, which is given in the sentence. Y... | None | 3 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.327705442905426,
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0.011277836747467518... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 2 | 4 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-1.0759999752044678,
0.2795497179031372,
0.16156885027885437,
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0.28810980916023254,
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0.10422021895647049,
1.0112890005111694,
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0.04003462195396423,
-0.6716406345367432,
-0.976499080657959,
0.06229046359658241,
-0.0163200683891773... |
Given the task definition and input, reply with output. Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
A salt concentration of 32 percent is nearly ten times that of seawater abundant resource.
| A salt concentration of 32 percent is nearly ten times that of what abundant resource? | 5 | NIv2 | task1552_scitail_question_generation | zs_opt | [
-0.15525805950164795,
1.0991898775100708,
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0.1839333474636078,
0.8653823137283325,
-1.0143582820892334,
-0.4274213016033172... |
Teacher: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and ... | mero | 2 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.0023173147346824408,
-0.17200900614261627,
0.4912855923175812,
-0.05793660134077072,
-0.6596140265464783,
0.11909085512161255,
-0.14260971546173096,
0.3352469801902771,
-0.11439894139766693,
-0.7466486692428589,
-0.35696670413017273,
0.06418144702911377,
-0.7924035787582397,
0.0918373018... |
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).... | Yes | 6 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.19259782135486603,
0.35751819610595703,
-0.14970141649246216,
0.27559977769851685,
0.19763845205307007,
-0.5559667944908142,
0.6449155211448669,
0.6792377233505249,
-0.3055826425552368,
0.38911736011505127,
-0.2013857066631317,
0.5212836265563965,
-0.516643762588501,
0.21485161781311035,... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
the cotton , bosch guessed , had only been used as a strainer once or twice .
| gauze , as bosch estimated , was used as a filter once or twice . | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.38883283734321594,
1.0180790424346924,
-0.5850628614425659,
0.08772702515125275,
-0.0349838063120842,
-0.34739065170288086,
0.4112895727157593,
0.5123698711395264,
-0.05620688945055008,
0.3478504717350006,
-1.203897476196289,
0.5640558004379272,
0.03937390819191933,
-0.08360142260789871... |
Instructions: In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Input: Post: ¿Cuándo viajará la... | Generic | 3 | NIv2 | task338_hateeval_classification_individual_es | zs_opt | [
-1.4179637432098389,
0.8366376161575317,
-0.3856085538864136,
-0.41259294748306274,
-0.36279529333114624,
-0.7968873381614685,
0.7494094967842102,
0.6115063428878784,
-0.3019503951072693,
0.01423342153429985,
-0.6121585369110107,
0.6825646162033081,
-0.2707819938659668,
-0.4016723930835724... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Input: AIDS zabija ludzi w kwiecie wieku.
Output: | 全盛期の人々に死をもたらすのです | 2 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
0.1886008381843567,
0.20080633461475372,
-0.8615344762802124,
-0.5624620914459229,
-0.12096092849969864,
-0.6747846603393555,
0.704155445098877,
-0.3269059658050537,
0.29104334115982056,
-0.09458430111408234,
-0.4286057949066162,
0.33089715242385864,
-0.42583054304122925,
0.404962509870529... |
Instructions: 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 write the character's motivation by doing a specific job, which is given in t... | None | 3 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.5070580840110779,
0.45307478308677673,
-0.4910750091075897,
-0.45252448320388794,
0.35346418619155884,
-0.286812961101532,
0.5164672136306763,
0.48971471190452576,
0.5785748958587646,
-0.36054831743240356,
-0.6064690351486206,
-0.18256884813308716,
-0.29928362369537354,
-0.0715681239962... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! ... | What might the narrator be suffering from ? | 0 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.7244494557380676,
-0.26117098331451416,
-0.6163872480392456,
0.5894317030906677,
0.05099674314260483,
-0.08983566612005234,
0.5016037225723267,
0.7751259803771973,
-0.4941295087337494,
0.14930397272109985,
-0.5440531373023987,
-0.0853271484375,
0.11852967739105225,
0.5003128051757812,
... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
[EX Q]: Context: Kurt Helin @basketballtal... | no
| 6 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.4280305504798889,
0.44062793254852295,
0.0766688734292984,
0.7214899659156799,
0.20736807584762573,
-0.6436840295791626,
0.15842989087104797,
0.019207347184419632,
-0.19676396250724792,
0.09933680295944214,
0.5682172775268555,
0.21395312249660492,
-0.24477189779281616,
-0.365665495395660... |
Given the task definition and input, reply with output. You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and ... | less | 5 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.7674843072891235,
0.4256030023097992,
0.006541037932038307,
0.3622378408908844,
-0.39310380816459656,
-0.30950483679771423,
0.11076903343200684,
0.7582363486289978,
0.30796581506729126,
0.3004963994026184,
-1.0127127170562744,
0.053021449595689774,
-0.203867569565773,
-0.057660706341266... |
Definition: 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... | No | 2 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.22546547651290894,
0.702072024345398,
0.0964660495519638,
0.33246278762817383,
-0.5495083928108215,
-0.5026016235351562,
0.30505308508872986,
0.865859866142273,
0.5611172914505005,
0.0914793312549591,
-0.14357563853263855,
0.1665712594985962,
-0.2489708960056305,
0.12824957072734833,
... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Numbers Win | 4 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.08753371238708496,
0.259653240442276,
-0.3372958302497864,
-0.17067404091358185,
-0.5741323232650757,
-0.4570649266242981,
0.46346452832221985,
-0.41756516695022583,
0.04847853630781174,
-0.025393450632691383,
-1.3112359046936035,
-0.0025462990161031485,
0.2133248895406723,
0.4589069485... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | San Diego | 8 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.8831654787063599,
0.43821078538894653,
-0.4230261445045471,
0.7679141759872437,
0.350908488035202,
-0.4076392352581024,
0.3259331285953522,
0.4148555099964142,
0.4980846345424652,
-0.5735721588134766,
0.26787054538726807,
0.3101547956466675,
-0.4433264434337616,
-0.22191767394542694,
-... |
In this task, we ask you to write an answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Note that a lot of the questions could have more than o... | a month. | 0 | NIv2 | task004_mctaco_answer_generation_event_duration | zs_opt | [
-0.19941964745521545,
0.3388388156890869,
0.5333449244499207,
-0.6932783722877502,
-0.6272328495979309,
-0.30344873666763306,
0.17540478706359863,
0.16377726197242737,
0.12508170306682587,
-0.25840744376182556,
-0.22552244365215302,
0.563056230545044,
-0.6995024681091309,
0.236908614635467... |
In this task, you are given dvd product reviews in German 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.
[EX Q]: Was finden hier alle so toll dran? . ein langweiliger Film, mit langweiligen Gags, d... | NEG
| 6 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
-0.4629923701286316,
0.12880559265613556,
-0.43232160806655884,
-0.035011835396289825,
0.6013106107711792,
0.4660727381706238,
1.2904279232025146,
1.1433072090148926,
0.05100521445274353,
-0.08991162478923798,
-0.44245365262031555,
-0.4676874876022339,
-0.17685994505882263,
0.0468044653534... |
In this task you are given a disfluent question, a proper question and a context. A disfluent question is a question that has some interruptions in it while framing and a proper question is the correct form of the question without any disfluency. Classify whether the question is answerable or not based on the given con... | Yes
| 3 | NIv2 | task1624_disfl_qa_question_yesno_classification | fs_opt | [
0.5220788717269897,
-0.06245045363903046,
-0.5195062756538391,
0.5216761827468872,
0.7791064977645874,
-0.5027245283126831,
0.751517653465271,
0.6228436231613159,
-0.7135751843452454,
0.1707485467195511,
-0.5347540378570557,
0.714674711227417,
-0.5102219581604004,
0.34133902192115784,
0.... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: รัฐมนตรีภายในปากีสถาน Rehman Malik ผัดการให้คำยืนยันทางการและเรียกร้องให้รอคอยประกาศจาก ISPR และหน่วยงานอื่นๆ
Output: パキスタン内務... | Output: イスラムの武装勢力が、サウジアラビアの石油タンカー「シリウス・スター」をソマリア沿岸近くに拘束している海賊と戦うと誓った。
| 2 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.22977937757968903,
0.0979413390159607,
-0.39718034863471985,
-0.7878545522689819,
-0.054575949907302856,
-0.3350517153739929,
0.9213011860847473,
-0.13982537388801575,
-0.24024096131324768,
0.620002269744873,
-0.7451464533805847,
0.712404727935791,
-0.8421793580055237,
0.500313162803649... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.1840924769639969,
0.20709121227264404,
0.5144369006156921,
-0.41000449657440186,
-0.772794246673584,
-0.79004967212677,
1.2715404033660889,
0.4072607755661011,
-0.41960442066192627,
-0.5125828981399536,
-0.24785125255584717,
-0.356342613697052,
-0.8755940198898315,
0.20344330370426178,
... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 9 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.6132460832595825,
0.49831992387771606,
0.07251623272895813,
-0.04262242466211319,
-0.09334205836057663,
-1.0516223907470703,
1.064770221710205,
0.43625134229660034,
-0.26419931650161743,
-0.519431471824646,
-0.5940219759941101,
-0.298957884311676,
-0.6906795501708984,
0.4019593894481659,... |
Given the task definition and input, reply with output. Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ສົນທິສັນຍາຍັງຮ້ອງຂໍໃຫ້ທຸກປະເທດຮັບຮອງເອົາສັນຍາເພື່ອສະກັດກັ້ນຫ້າມຂອບເຂດການອະນຸຍາດທີ່ໃຫ້ມີການໂຄຊະ... | 条約は全ての国が、5年以内にタバコの広告、販売促進、資金提供の全てを、自国の憲法の許容範囲で禁止することを採用することを必要とする。 | 5 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.8276855945587158,
0.4643456041812897,
-0.14029642939567566,
-0.029862642288208008,
0.04410330951213837,
-0.08908814191818237,
0.5163395404815674,
0.09224190562963486,
-0.027374710887670517,
-0.7571547031402588,
-0.8558669686317444,
0.28951770067214966,
-0.5790167450904846,
0.30720368027... |
In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "for", "from"... | with
****
| 4 | NIv2 | task585_preposition_classification | fs_opt | [
-0.07002745568752289,
1.5424669981002808,
0.09164983779191971,
-0.4396442174911499,
-0.4972218871116638,
-0.7892388105392456,
0.2464718371629715,
0.7486485242843628,
0.04572314769029617,
-0.9850242137908936,
-1.2035305500030518,
0.03191319853067398,
-0.9482568502426147,
-0.0473091863095760... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Q: just information information maybe knowledge and intelligence ironically not so much i am seeing i l y
A: other
****
Q: i won't talk with you until u su... | other
****
| 4 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.7695313096046448,
0.495419442653656,
0.5038254261016846,
-0.745016872882843,
0.28668439388275146,
-1.032209873199463,
0.7016661763191223,
-0.012928582727909088,
0.8227805495262146,
-0.4194789528846741,
-0.22338327765464783,
-0.1708790510892868,
-0.7419581413269043,
0.026419322937726974,... |
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