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 |
|---|---|---|---|---|---|---|
Instructions: Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Input: Jacksonville is the largest city by population in the U.S. state of Florida, and the largest... | Which Florida city has the biggest population? | 3 | NIv2 | task1609_xquad_en_question_generation | zs_opt | [
-0.2603064179420471,
0.5946164727210999,
-0.159111887216568,
-0.5543285608291626,
0.225551575422287,
-0.08207882940769196,
0.545934796333313,
0.36703115701675415,
-0.3250136971473694,
0.5950279235839844,
0.17376354336738586,
0.22751322388648987,
-0.633661150932312,
0.0015380230033770204,
... |
You will be given a definition of a task first, then some input of the task.
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is s... | sadness | 1 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.34025129675865173,
0.04323326051235199,
-0.12268508970737457,
-0.5615660548210144,
-0.16202035546302795,
0.16250428557395935,
0.7359461188316345,
0.35352468490600586,
0.047805458307266235,
-0.18765461444854736,
-0.7432700395584106,
-0.15002575516700745,
-0.1306891292333603,
0.2200052738... |
Detailed Instructions: 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".
Problem:Japanese: オリンピアの新しい博物館は最後の瞬間に守られた。しかし、古代スタジアムの一部は救えなかった。
Khamer: សារ... | Yes | 8 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
0.3673588037490845,
0.010017408058047295,
-0.3689410984516144,
0.12731096148490906,
0.2506900429725647,
-1.325059413909912,
0.41166630387306213,
0.3878607749938965,
-0.04458099603652954,
-0.2902132570743561,
0.06390311568975449,
0.032875850796699524,
-0.41416114568710327,
0.569228589534759... |
Q: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay spe... | REFERENCE TARDIS | 7 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.18939536809921265,
0.7796427011489868,
-0.7338924407958984,
0.3181729018688202,
-0.5817229747772217,
-0.5432971715927124,
1.5274724960327148,
0.8185363411903381,
0.3174293041229248,
0.11759889125823975,
-0.4225914478302002,
0.5859552025794983,
-0.34096360206604004,
0.11356408894062042,
... |
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 sentence. For ... | scared | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.15301349759101868,
0.29290395975112915,
-0.11192723363637924,
-0.8883069753646851,
0.20250007510185242,
-0.7791004776954651,
0.9378260374069214,
0.8321041464805603,
-0.0039035016670823097,
0.1911977380514145,
-0.00009947456419467926,
-0.2102784961462021,
-0.3623170256614685,
-0.046143539... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 3 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
1.4916322231292725,
0.004920426290482283,
0.15098172426223755,
0.05894724279642105,
-0.2712668478488922,
-1.0801420211791992,
0.5200901031494141,
0.6057131290435791,
-1.052166223526001,
-0.33011794090270996,
-0.6182136535644531,
-0.3033563494682312,
-0.43392783403396606,
-0.185653463006019... |
Q: A question is presented to you in this task, and your job is to write a potentially correct answer.
where is jefferson davis buried?
A: | Hollywood Cemetery | 7 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.18370765447616577,
0.7297108173370361,
-0.5031466484069824,
-0.49713826179504395,
-0.00024630967527627945,
0.28455713391304016,
0.8225555419921875,
-0.09502480179071426,
0.6732949018478394,
0.44783729314804077,
1.016916275024414,
0.18885618448257446,
0.2984659671783447,
0.33472576737403... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Ex Input:
در طی عمر طولانی هر دوی آنها، با وجود اینکه چندین و چند بار بر حسب اتفاق یکدیگر را ملاقات کردند،
Ex Output:
alone in the many chance encounters of their very long lives,
Ex Input:
گلها آنجا بودند
Ex Outpu... | for their sake was I laid in the black pit.
| 1 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.8345270156860352,
0.12872718274593353,
-0.5944851636886597,
-0.09504680335521698,
-0.4683712422847748,
-0.6721667051315308,
0.8105831146240234,
-0.08900035917758942,
0.3470415771007538,
-0.1495923101902008,
-0.45732465386390686,
0.688852071762085,
0.15533870458602905,
0.7300504446029663... |
Given the task definition and input, reply with output. 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 seamlessly connects with the rest of the story, indicating your choice as 'a' o... | a | 5 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.5677130222320557,
0.7708954215049744,
-0.0638195052742958,
0.4952656328678131,
-0.3841532766819,
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0.379995733499527,
0.46494534611701965,
0.3057715892791748,
0.1308019757270813,
-0.906315803527832,
0.03820612281560898,
0.1273687779903412,
0.006367496680468321,
-0.... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 地方の気象当局はAP通信社に「フロレス海の下の37km（23マイル）で地震があった」と報告した。
Lao: ພະນັກງານອຸຕຸນິຍົມທ້ອງຖິ່ນ ໄດ້ລາຍງານ ກຸ່ມສຳນັກ... | Yes | 4 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.9238755702972412,
-0.531737208366394,
0.13763433694839478,
0.12988483905792236,
0.11524973809719086,
-0.8155570030212402,
0.6054837107658386,
0.9102329015731812,
-0.5627574920654297,
-0.8896474838256836,
-0.5167092680931091,
0.1353909969329834,
-0.7619926929473877,
0.27778953313827515,
... |
Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If the label is 'cause', ... | Boja je postala zelena. | 0 | NIv2 | task1626_copa_hr_question_answering | zs_opt | [
-0.4931420087814331,
0.4957152307033539,
-0.4572125971317291,
0.18206700682640076,
-0.5865904092788696,
-0.5685958862304688,
-0.10029779374599457,
0.03535747528076172,
-0.31158310174942017,
-0.2605736255645752,
-0.2536976933479309,
0.7394803166389465,
-0.6237388849258423,
0.203528463840484... |
Teacher:Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Dokumen tersebut ditandatangani oleh 3 Anggota Parlemen Musli... | 手紙は、3人のイスラム教徒の下院議員、3人のイスラム教徒の上院議員と、英国イスラム会議、イスラム英国連合、英国イスラム・フォーラム、イスラム連帯委員会を含む38のイスラム・グループによって署名された。 | 6 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.18284918367862701,
0.4597155451774597,
0.013149825856089592,
-0.6307507753372192,
0.032533660531044006,
-0.4897344708442688,
0.9180643558502197,
-0.614896297454834,
0.040529292076826096,
-0.5244646072387695,
-0.09180502593517303,
0.6901594400405884,
-0.8851123452186584,
0.04063694179058... |
Detailed Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
See one example below:
Problem: Placa motora es la unión entre la neurona motora y el
Solution: Motor plate is the union between the motor neuron and the
Expla... | One of the following is NOT a guideline that should guide interventions in Autism Spectrum Disorders. Point out which | 4 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
-0.10993251204490662,
-0.11680086702108383,
0.3687342703342438,
0.010823276825249195,
-0.0008435053750872612,
-0.7563942670822144,
0.2561531960964203,
0.9466649293899536,
0.8677084445953369,
0.10121774673461914,
0.32485997676849365,
0.8990204334259033,
0.16518080234527588,
0.13633984327316... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
E à [direita] é a "" forma lisogénica "" que usa um vírus 'agente secreto'.
A: | 右側の溶原性の方法ウィルス秘密工作部員を使う方法 | 7 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.9560444355010986,
0.21373561024665833,
0.3981061577796936,
-0.20728538930416107,
-0.7985882759094238,
0.25683632493019104,
0.5029175877571106,
0.11088918149471283,
0.14375224709510803,
-0.599402666091919,
-0.9486783146858215,
0.45186376571655273,
-0.2721312642097473,
0.2374507486820221,... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
PROBLEM: Que durmas ben. "" Eu non sabía que dicir!
SOLUTION: أحلاما سعيدة. "" لم أدر ماذا أقول!
PROBLEM: É un lugar moi afastado, moi seco e moi fermoso.
SOLUTION: إنها بعيدة جدا وجافة جدا وجميلة جدا
... | (ضحك) وقد كان هناك 4-5 بطاريق ميتة تحوم حولي وانا كنت هناك التقط الصور
| 8 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.3995654582977295,
0.7565832734107971,
-0.03921370953321457,
-1.6503387689590454,
-0.5836176872253418,
-0.1892765611410141,
1.1046345233917236,
-0.09938766062259674,
-0.7655203342437744,
-0.17926529049873352,
-1.085836410522461,
-0.35197803378105164,
-0.9266018867492676,
0.10322333127260... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
As an African-American woman, she's twice as likely to have a premature birth or to have a stillbirth.
Output: | وكونها امرأة أمريكية من أصول إفريقية ، تملك احتمالاً مضاعفاً لأن تلد ولادة مبكرة أو تلد جنيناً ميتاً. | 1 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.5826559066772461,
0.12602059543132782,
0.28071802854537964,
0.17669756710529327,
-0.04851841181516647,
0.4652097225189209,
-0.0158291757106781,
0.5600439310073853,
0.600041389465332,
0.6147009134292603,
-0.4279831647872925,
-0.4759659767150879,
-0.6895605325698853,
-0.08706680685281754,... |
Part 1. Definition
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the com... | Offensive | 7 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.6220607757568359,
0.9085197448730469,
0.13832834362983704,
0.24927231669425964,
-0.41337600350379944,
-1.0793769359588623,
0.45093488693237305,
-0.07312090694904327,
0.1940072476863861,
0.019932378083467484,
-0.7295088768005371,
0.2947627902030945,
-0.5344617366790771,
-0.69371223449707... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
--------
Question: Article: Sports can help you keep fit and get in touch with nature. However, whether you are on the mountains, in the waves, or on the grassland, you should be aware t... | Which of the following words can best describe the author's father?
| 7 | NIv2 | task311_race_question_generation | fs_opt | [
0.16565340757369995,
0.4855516850948334,
-1.323116421699524,
0.19883930683135986,
0.21273669600486755,
-0.21163420379161835,
-0.22676146030426025,
0.2927286624908447,
0.17058077454566956,
-0.28077495098114014,
-0.1360810399055481,
0.9269446730613708,
-0.7203881144523621,
0.0011766725219786... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Input: 他にもあります
Output: | Pero no solamente eso. | 3 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.11900518089532852,
0.18641971051692963,
-0.2905873954296112,
0.19055792689323425,
0.3832877278327942,
0.22468677163124084,
-0.4542273283004761,
0.46452605724334717,
0.10005016624927521,
-0.5594441294670105,
-0.6057469248771667,
0.020741507411003113,
-0.8683143258094788,
0.06650339066982... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holo... | poison | 4 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.8071587085723877,
0.8908135890960693,
0.07944969087839127,
-0.07986631989479065,
-0.6870909929275513,
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-0.5237421989440918,
0.5071842670440674,
0.30633744597435,
-0.7228829264640808,
-0.25730961561203003,
0.6626486778259277,
-0.08965897560119629,
0.034637100994586945... |
Instructions: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being ... | You are likely to find a match king in a chess restaurant . | 3 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.13457544147968292,
0.9890038371086121,
-0.8095951676368713,
0.16891664266586304,
-0.013861298561096191,
-0.676925778388977,
0.4721651077270508,
0.564237117767334,
0.5488101243972778,
-0.6112830638885498,
-0.8920227885246277,
-0.03190906345844269,
-0.5313763618469238,
-0.2204217761754989... |
Detailed Instructions: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then... | 18239089902cA1737N5888 | 9 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.027763601392507553,
0.4638487994670868,
-0.5491759777069092,
-0.09536761045455933,
-0.34849977493286133,
-0.1802729070186615,
0.4947751760482788,
0.03598602116107941,
-0.6506556868553162,
0.07396969199180603,
-0.9748609066009521,
-0.05625960975885391,
-0.11680950224399567,
-0.3582212030... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
مدرکی وجود داره که مگسها این کارو انجام میدن ؟ | C'è una prova che le mosche facciano ciò? | 0 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.3591924905776978,
0.8107101917266846,
-0.3926023840904236,
0.09871704876422882,
-0.1509636640548706,
0.01879986748099327,
-0.048246778547763824,
0.2357466071844101,
-0.23187941312789917,
-0.09934379160404205,
-1.0987317562103271,
0.35578006505966187,
0.2483166754245758,
0.42536145448684... |
Detailed Instructions: 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".
Problem:Swedish: Det är därför på tiden att parlamentet härvidlag ti... | No | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.6793884038925171,
0.8408228158950806,
0.14483346045017242,
-0.047025617212057114,
0.445500910282135,
-0.6929676532745361,
0.42961111664772034,
0.6624690294265747,
0.5557857751846313,
0.4570291042327881,
0.1994137465953827,
0.9152486324310303,
-0.6276262998580933,
-0.23060323297977448,
... |
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Example: ['8129', 'a', '4245', 'y', 'm', 'a']
Example solution: ... | Solution: a, d, e, g, k, l, p, q, r, s, v, w, z | 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.13189367949962616,
-0.1002240777015686,
-0.009656461887061596,
-0.5365816354751587,
0.112167127430439,
-0.07390414923429489,
0.3818565607070923,
0.27838134765625,
0.02416094020009041,
0.1250680834054947,
-0.6875928044319153,
-0.1912183165550232,
-0.29947471618652344,
0.01831273548305034... |
TASK DEFINITION: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
PROBLEM: Have you been to an orchestra concert?
SOLUTION: I was never really interested in orchestra concerts.
PROBLEM: Are you into team sports?
SOLUTION: I do like rugby.
PROBLEM: Is that ... | It's pricey, for sure.
| 8 | NIv2 | task565_circa_answer_generation | fs_opt | [
0.43453454971313477,
0.43783634901046753,
-0.8570165038108826,
0.13900411128997803,
-0.02446736954152584,
-0.15335047245025635,
1.247139573097229,
-0.18490120768547058,
0.3748475909233093,
-0.08726514130830765,
0.006296415813267231,
0.1597594916820526,
-0.6811414361000061,
-0.1066919490694... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Q: structured
A: unstructured
****
Q: cared-for
A: uncared-for
****
Q: nonsubmersible
A: | submersible
****
| 4 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.006468735635280609,
1.2937909364700317,
0.73484206199646,
-0.5901715755462646,
-0.23519980907440186,
-1.4540815353393555,
-0.37594565749168396,
0.6008422374725342,
0.02892277017235756,
-0.03575335815548897,
-0.36683598160743713,
-0.5403954982757568,
-1.2357481718063354,
0.183917358517646... |
Instructions: 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 a... | What may of been the reason for Alex to run off? | 3 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.5229079127311707,
0.375343382358551,
-0.6679704189300537,
-0.35035672783851624,
-0.8735110759735107,
-0.18681040406227112,
0.2886820137500763,
0.6917401552200317,
0.005230515263974667,
0.04357166960835457,
-0.5543185472488403,
-0.32534244656562805,
-0.9321421980857849,
0.6397807002067566... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Explanation: This is a good example. The above sentence is cor... | Not only does the competition represent the South Caucasus moving closer to Europe, but given that this year has proven to be a political turbulent one for all three countries it might also provide people here with a welcome break from rigged votes and post-election unrest. | 4 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.33773574233055115,
0.8032305240631104,
-0.2047966867685318,
-0.11156362295150757,
-0.4590214490890503,
0.40058889985084534,
1.2217328548431396,
-0.059330832213163376,
0.39454585313796997,
0.33512699604034424,
-0.584566593170166,
0.6570339798927307,
-0.4215475618839264,
0.076402805745601... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[EX Q]: [1249, 4091, 'E', 483, 'O', 8427, '5009', 'X', 'Q', '107', 'F', '6119', '4479', 'u', 'o', 'U', '4405', '1737', 'K', 'j', 'B', 'U', 2857, 's'], ['J', 'B', 8825, 9581, '5009', 'X', 'Q', '107', 'F', '6119', '4479'... | 3697, 533, 4623, L, 9799, y, S
| 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3432292342185974,
0.37103134393692017,
-0.4414181709289551,
-0.2969362139701843,
-0.2942512631416321,
-0.09309513121843338,
0.5849617719650269,
0.8311586976051331,
-0.49184179306030273,
0.09488677978515625,
-0.8488885760307312,
0.35684844851493835,
-0.20068630576133728,
0.26146253943443... |
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 questions? ... | method
****
| 4 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.8634829521179199,
0.26682430505752563,
-0.24123692512512207,
-0.175038680434227,
-0.40355443954467773,
0.7631452083587646,
-0.15844374895095825,
0.5242605805397034,
0.5575902462005615,
0.27776896953582764,
-0.592437744140625,
0.045963793992996216,
0.032488204538822174,
0.520742654800415... |
Q: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea... | stereotype | 7 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.2732406258583069,
0.7166670560836792,
0.169875830411911,
0.13037651777267456,
0.044677734375,
-0.46176213026046753,
0.5607414841651917,
0.728743314743042,
0.5462055206298828,
-0.29077357053756714,
-0.6975839138031006,
-0.004287512972950935,
-0.8994886875152588,
-0.17245370149612427,
0... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 20581
| 5 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.25389254093170166,
-0.07743670046329498,
-0.4579945206642151,
-0.3907836675643921,
-0.18219101428985596,
-0.4128260016441345,
0.589903712272644,
0.10877244919538498,
-0.7585278749465942,
0.2113191783428192,
-1.043346881866455,
0.7079905271530151,
0.1789124310016632,
-0.19229677319526672... |
Instructions: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport... | fried food | 3 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.19976571202278137,
0.12525932490825653,
-0.4337349832057953,
-0.024847235530614853,
0.2057921290397644,
0.12348450720310211,
-0.42242980003356934,
0.4159840941429138,
0.007346505299210548,
-0.10741620510816574,
-0.2369164526462555,
-0.23888273537158966,
-0.1707797348499298,
-0.5112936496... |
Teacher:In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the fir... | [15, -12] | 6 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.40952515602111816,
0.08164585381746292,
-0.6773109436035156,
-0.7005476951599121,
0.10718436539173126,
-0.2006334364414215,
1.3498601913452148,
0.7143194675445557,
0.35409867763519287,
-0.3142649531364441,
-0.04354146867990494,
-0.3392038345336914,
-0.6009135246276855,
-0.161028906702995... |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | socioeconomic | 8 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
-0.21645396947860718,
0.23120838403701782,
0.05929262191057205,
-0.22768276929855347,
-0.3116677403450012,
-0.3737192749977112,
0.3025377690792084,
0.9059900641441345,
0.35452598333358765,
0.21869292855262756,
-0.43867015838623047,
0.17279306054115295,
-0.7264755368232727,
-0.4217879176139... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Q: Mix all sugars and butter.,Sift flour and other dry ingredients together.,Add other ingredients to creamed mixture. Add dry ingredients.,Chill.,Shape int... | Fill with jelly while still warm and top with pecans. | 4 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.07962656021118164,
1.1527252197265625,
-0.1928163468837738,
-0.4232778549194336,
-0.0940159410238266,
0.9183266162872314,
0.18048016726970673,
0.30091211199760437,
-0.6235542297363281,
-0.35371923446655273,
0.6118953227996826,
-0.1770886778831482,
0.1308046281337738,
-0.07901928573846817... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: After his dentist noticed something unusual with him, Brown was told to... | No
****
| 4 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.24880126118659973,
0.08878853917121887,
0.3515509366989136,
-0.6883224248886108,
-0.144393652677536,
-0.9252690672874451,
0.10927090048789978,
0.08060229569673538,
-0.15765506029129028,
-0.5304035544395447,
0.3082531988620758,
0.24549758434295654,
-0.4569694995880127,
0.0885038226842880... |
Teacher:You are given a statement written in Hindi. 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: कासरेस पेटागोनिया, <MASK> में गडरिया प... | अर्जेंटीना | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.14437732100486755,
0.5161011219024658,
0.022638877853751183,
-0.15652276575565338,
-0.29002267122268677,
-0.18143267929553986,
0.4746520519256592,
0.510396420955658,
0.18640553951263428,
-0.7114906311035156,
0.14377692341804504,
0.03428083285689354,
0.1206447184085846,
-0.04333087056875... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Q: Mas julgo que nenhuma destas empresas diria que é perfeita. Nós certamente não somos.
A: | Raczej nikt z nich nie twierdzi, że są idealni. My tak nie twierdzimy. | 9 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.3643741011619568,
1.4769366979599,
0.24560698866844177,
-0.34175634384155273,
-0.536972165107727,
-0.5735512971878052,
1.0208712816238403,
0.0023894573096185923,
0.5680996775627136,
0.4415132403373718,
-0.5124884843826294,
0.042761243879795074,
-0.31248903274536133,
0.022062670439481735... |
In this task, you are given a text of news article and corresponding headline of an article. Your task is to give label "match" if headline is correct for article, otherwise give label "no".
One example is below.
Q: Article: Serge Ibaka -- the Oklahoma City Thunder forward who was born in the Congo but played in Spain ... | match | 9 | NIv2 | task1354_sent_comp_classification | fs_opt | [
-0.04736391827464104,
0.09818722307682037,
-0.4811825156211853,
0.2159610539674759,
0.22366297245025635,
0.18114396929740906,
0.5824829936027527,
0.4833143353462219,
-0.1003752201795578,
0.09933453798294067,
0.14273875951766968,
0.5329548120498657,
-0.41322949528694153,
-0.2230926603078842... |
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 view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Positive | 9 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.6330534219741821,
0.3400208353996277,
0.34669962525367737,
0.086771160364151,
0.34403693675994873,
-1.4317195415496826,
0.27253198623657227,
0.6566717028617859,
0.31022965908050537,
0.2740590572357178,
0.24872665107250214,
0.5111007690429688,
0.32754290103912354,
-0.5422006845474243,
... |
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
| 7 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.5014089941978455,
0.6357779502868652,
0.08767032623291016,
-0.3520740866661072,
0.18756935000419617,
0.2787494957447052,
0.19537673890590668,
0.8246594667434692,
0.2130996435880661,
0.20622959733009338,
-0.4883018136024475,
0.18847142159938812,
-0.4890799820423126,
-0.05997339263558388,... |
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... | [94, 111, 276, 294, 162] | 9 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.5776532888412476,
0.6409118175506592,
-0.13897836208343506,
-0.2016877830028534,
0.09672249853610992,
-0.3968087434768677,
1.165158987045288,
0.34878969192504883,
-0.40282613039016724,
0.19030919671058655,
-0.5728179812431335,
0.2177533358335495,
-0.44665056467056274,
-0.422466218471527... |
Q: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Busine... | C | 7 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.26065176725387573,
0.5965865850448608,
-0.22716876864433289,
0.1122421845793724,
0.020904626697301865,
-0.2529817819595337,
0.783353328704834,
0.9275205135345459,
-0.06532852351665497,
0.17510928213596344,
-0.33989256620407104,
-0.003626736346632242,
-0.19455289840698242,
-0.719550848007... |
Detailed Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Problem:Igbo sentence: MovieLens bụ ihe atụ nke rụ nyocha nke nwere ihe ịga nke ma n'ịmepụta aka ntinye aka (Harper and Konstan 2015) .
Solution: | MovieLens is an example of a research project that has succeeded in creating a positive feedback loop (Harper and Konstan 2015) . | 8 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.4434228539466858,
0.33774980902671814,
-0.23990070819854736,
0.05679767206311226,
0.2172994166612625,
-0.7035069465637207,
0.2009805589914322,
0.957839846611023,
-0.0821634829044342,
-0.9566179513931274,
-0.18845507502555847,
-0.1295071244239807,
-0.7685797214508057,
0.03161586448550224... |
Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2... | Gov. Gavin Newsom says he has concerns about enacting tougher rules that limit doctors from granting medical exemptions for children’s vaccinations. | 3 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
-0.02590746246278286,
-0.013136772438883781,
-0.40575718879699707,
-0.055802762508392334,
-0.0347394160926342,
-0.9931921362876892,
0.33128276467323303,
1.1072850227355957,
-0.017229031771421432,
0.021646341308951378,
0.23611709475517273,
0.31190675497055054,
0.10513128340244293,
-0.292488... |
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 .
[EX Q]: Statement: વડસ્મા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ઉત્તર ભાગમાં આવેલા મહેસાણા જિલ્લાના મ... | ભારત
| 6 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.6040127277374268,
0.4838560223579407,
0.24985045194625854,
-0.13733568787574768,
0.10842444002628326,
-0.7692596912384033,
-0.04189885035157204,
1.095271110534668,
-0.1720162034034729,
-0.10852044075727463,
-0.4418230354785919,
0.6413724422454834,
-0.1561592072248459,
-0.7843825817108154... |
instruction:
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 ... | ac
| 9 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.2610781788825989,
0.35947149991989136,
-0.18869492411613464,
0.17868289351463318,
0.2258889377117157,
-0.23162195086479187,
0.5878639221191406,
0.8225380182266235,
-0.1868470013141632,
0.5364665389060974,
-0.5845955610275269,
0.3150458335876465,
-0.29523712396621704,
-0.5934001207351685,... |
TASK DEFINITION: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
PROBLEM: Context_1 : FM La Boca is an Argentine radio station. The station b... | Consider the eccentric Knoxville businessman with whom George Roby Dempster often staged politcal battles. In what year were they born?
| 8 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.826088547706604,
0.38205549120903015,
-0.6818243265151978,
0.32366713881492615,
0.8437703251838684,
-0.022147374227643013,
0.7648975253105164,
1.000423789024353,
-0.15698209404945374,
-0.19289323687553406,
-0.1611902415752411,
0.8287221789360046,
-0.6760451793670654,
0.25077614188194275,... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Ex Input:
Topic: We should end mandatory retirement<sep>Argument: Mandatory re... | True
| 1 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.013879979960620403,
-0.06923545151948929,
-0.18578921258449554,
0.1932085156440735,
0.09837068617343903,
-0.19399264454841614,
0.1916450560092926,
0.9629913568496704,
0.35083556175231934,
0.1880786418914795,
-0.6773999929428101,
-0.01111485343426466,
-0.3352210223674774,
-0.1764453202486... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False
| 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.3615145683288574,
0.2487897276878357,
0.002942137187346816,
0.10668955743312836,
0.11658976227045059,
-0.19608066976070404,
0.48499229550361633,
0.3978534936904907,
-0.2856822609901428,
0.15493473410606384,
-0.46452248096466064,
0.1267191469669342,
-0.2529539465904236,
0.0490528531372547... |
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.
A.E_Dimitra_Efxeinoupolis | location | Greece
Greece | capital | Athens
... | Nikos Voutsis and Prokopis Pavlopoulos are leaders in Greece where the capital city is Athens and the Greek language is spoken. The country is also the location of the A.E Dimitra Efxeinoupolis club. | 0 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.4417654871940613,
-0.22631247341632843,
0.09860959649085999,
-0.830727219581604,
-0.4029374420642853,
-0.6205970048904419,
0.9453431367874146,
-0.8105289340019226,
0.055712152272462845,
-0.11158649623394012,
-0.3566043972969055,
1.2532563209533691,
-0.8436907529830933,
-0.69115805625915... |
Q: In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. You... | Yes there was - he wanted to make sure the President was told that the Vice President had executed the order. | 7 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.2581031918525696,
0.22809886932373047,
-0.4920058846473694,
-0.1354028284549713,
0.4751088619232178,
-0.6262252330780029,
0.6053794622421265,
0.9093712568283081,
0.4292486608028412,
0.2374599277973175,
-0.5577692985534668,
-0.11908829212188721,
-0.32330209016799927,
0.20943675935268402,
... |
Teacher: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 prono... | The scuba diver is diving looking for octopus in the sea. | 6 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.7073783278465271,
0.7996822595596313,
0.08758772909641266,
-1.0801081657409668,
0.1453065723180771,
0.157101571559906,
-0.45685306191444397,
0.5964446067810059,
0.26333993673324585,
-0.25102269649505615,
-0.3905099630355835,
-0.6547967195510864,
-0.15837475657463074,
-0.4964402914047241... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The produ... | Solution: True | 5 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.2756122648715973,
-0.6236382722854614,
0.5768153667449951,
0.0012157289311289787,
-0.050111912190914154,
-0.6533321142196655,
0.7513035535812378,
0.3391316533088684,
0.1264728307723999,
0.10590064525604248,
-0.28660809993743896,
0.152955561876297,
-0.6883345246315002,
-0.495401084423065... |
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").
--------
Question: Fact1: Insulin helps cells take up glucose from the blood., Fact2: Insulin produced by the pancreas is endogenous insulin., Question: What ... | F
| 7 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.7636837959289551,
0.7146822810173035,
-0.8710662722587585,
0.07033592462539673,
-0.3615230321884155,
-1.1712663173675537,
0.1182531788945198,
0.46673384308815,
-0.3053552210330963,
-0.13977354764938354,
-0.806787371635437,
-0.25179341435432434,
-0.5566650629043579,
0.10724717378616333,
... |
TASK DEFINITION: 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 ... | blue_treasure_chest
| 8 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.6476991176605225,
-0.39147868752479553,
-0.4518224596977234,
-0.34004878997802734,
-0.2078750729560852,
0.389762818813324,
0.12540197372436523,
0.5853835940361023,
0.23523962497711182,
0.1122615784406662,
-0.22083064913749695,
0.7031418681144714,
-0.3533790707588196,
0.2762894034385681,
... |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Let me give you an example: Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and angler fi... | heat our homes | 8 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
-0.24855099618434906,
0.2256556749343872,
-0.850294828414917,
-0.23780788481235504,
-0.6187626123428345,
-0.977034330368042,
0.4542405605316162,
0.24530960619449615,
-0.293634831905365,
0.04553176835179329,
-0.320024311542511,
0.16099534928798676,
-1.1836200952529907,
-0.021027643233537674... |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
[Q]: ['8315', '3189', 'j', 'n', 't', 'U', '4163', 'z', '4013', '3159', '8169', '8649', '431', '6291'... | 8, 4731, 1373, 7365, 2735, 1, 8733, 7031, 3823, 9001, 7637, 3, 2, 14
| 5 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
-0.2830333113670349,
0.14047926664352417,
0.04503125697374344,
-0.6105506420135498,
0.18453267216682434,
-0.13002188503742218,
-0.35678452253341675,
-0.022600866854190826,
-0.6281605958938599,
-0.20253288745880127,
-0.22916099429130554,
0.2248922735452652,
0.22562141716480255,
-0.418175756... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.... | このような明るい色をした無数の展示物が何週間かセントラルパークに展示されましたそれはギャラリーや美術館の展示物とはまったく違っていていつもの見慣れた空間が別のものになっていましたそれはセントラルパークという場所でしか体験できないアートでした色々な意味において「ザ・ゲート」はフレデリック・オルムステッドが設計したセントラルパークに新しい意味を与えたのです | 0 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.2527516186237335,
-0.0677909255027771,
-0.3163881003856659,
0.2128216028213501,
-0.40537798404693604,
-0.27431702613830566,
0.10270819813013077,
0.6126875877380371,
0.25585466623306274,
-0.4136230945587158,
-0.271688312292099,
0.35473448038101196,
-0.5972985029220581,
0.1553497016429901... |
Teacher:Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Teacher: Now, understand the problem? Solve this inst... | kitchen | 6 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | zs_opt | [
0.6130326986312866,
0.9216872453689575,
-0.8747519254684448,
0.5087929964065552,
-0.1533488929271698,
-0.010346584022045135,
0.5008000135421753,
0.3911280930042267,
0.08121327310800552,
-0.04504818469285965,
0.4398326873779297,
0.13965356349945068,
-0.14989568293094635,
-0.3059910833835602... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
[EX Q]: 4, ['1883', '7491', 'u', 'P', 'd', 'o', 'j', 'C', '3111', 'y', 'X', '7987', 'M', '2843', 'S', '4093', '5479... | 6015, G, 6093, l, 73, f, B, 4091, 155, j, K, p, n, b, J, 5437
| 6 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.007134231273084879,
0.11420796066522598,
-0.5959070324897766,
-0.5067117214202881,
-0.18278595805168152,
-0.5368235111236572,
0.9529989957809448,
0.51616370677948,
-0.588242769241333,
0.3648560047149658,
-0.7386372685432434,
-0.006435284856706858,
0.053324609994888306,
0.0295860059559345... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Consider Input: Problem: find the area of a rhombus one side of which measures 20 cm and one diagonal is 28 cm .
Options: ['a ) 200 cm 2', 'b ) 300 cm 2', 'c ) 400 cm 2', 'd ... | Output: a
| 2 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.49600696563720703,
0.47308939695358276,
-0.24132812023162842,
-0.39890575408935547,
-0.10904152691364288,
-0.1580774486064911,
0.6704473495483398,
0.131959930062294,
-0.0007596260402351618,
0.1453705132007599,
-0.5069750547409058,
1.0582001209259033,
-0.34547847509384155,
0.0107411369681... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Business | 8 | NIv2 | task379_agnews_topic_classification | fs_opt | [
0.05050119385123253,
0.7188658714294434,
-0.3308601677417755,
0.6546331644058228,
-0.15510210394859314,
0.6802951693534851,
-0.5963478684425354,
0.1526794135570526,
-0.21417412161827087,
0.43437546491622925,
0.32547539472579956,
0.2954140901565552,
-0.11007741093635559,
-0.1958655714988708... |
Teacher:You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing t... | Place the tot and the toys in a laundry Washing machine, that way the child is more likely to stay put and the toys won't float off. | 6 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.22613593935966492,
0.7894527316093445,
-0.5070955157279968,
0.0808185338973999,
-0.4396516680717468,
-0.40583086013793945,
0.07278268039226532,
0.5922721028327942,
-0.1673610508441925,
0.13048967719078064,
0.3450886011123657,
0.4670233130455017,
-0.4589458405971527,
-0.4916718006134033,
... |
Teacher:In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'onesev... | 60195 | 6 | NIv2 | task1443_string_to_number | zs_opt | [
-0.5710259079933167,
1.1861850023269653,
-0.09189192950725555,
-1.2885770797729492,
-0.204751655459404,
-0.24977852404117584,
0.9917432069778442,
0.627498209476471,
-0.34230881929397583,
-0.47298911213874817,
-0.08465547859668732,
0.334134578704834,
-1.6627177000045776,
-0.4948685765266418... |
Detailed Instructions: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' ... | 48294531 | 4 | NIv2 | task1443_string_to_number | fs_opt | [
-0.4803762435913086,
1.1214014291763306,
-0.6317607760429382,
-0.9797376394271851,
-0.5415102243423462,
-0.5576836466789246,
1.012319803237915,
-0.02508089505136013,
0.020523488521575928,
-0.27145618200302124,
-0.783668041229248,
0.3968929648399353,
-1.1790990829467773,
-0.1929144710302353... |
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Let me give you an example: Review: These are junk! Both bulbs have burned out within a two month period!! I cannot believe tha... | False | 8 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
-0.060914281755685806,
-0.02401500940322876,
0.1021382212638855,
-0.08393274247646332,
-0.00002609404327813536,
-0.5343405604362488,
0.6343891620635986,
0.23630742728710175,
0.0008584953611716628,
0.1656225323677063,
-0.11258690059185028,
0.09934280812740326,
-0.07804393768310547,
-0.19848... |
Detailed Instructions: Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Q: A named third party does receive your user profile for an additional (non-basic) service or featur... | Additional service/feature | 9 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.4928649663925171,
0.19608233869075775,
-0.8331844806671143,
-0.49126291275024414,
-0.6940556764602661,
-1.3126399517059326,
0.34848862886428833,
0.0774727463722229,
0.2531321048736572,
0.7115107774734497,
0.9709222912788391,
-0.015092656016349792,
-0.07652246952056885,
-0.58056020736694... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
--------
Question: English: Citizens are believed to have been burnt alive in air-raid shelters.
Spanish:Se dice asimismo que h... | No
| 7 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
-0.2247576117515564,
0.373108446598053,
-0.042265597730875015,
0.01789172552525997,
0.36064839363098145,
-0.7028692960739136,
0.4032329022884369,
0.6765463352203369,
-0.43366366624832153,
0.49819764494895935,
0.21639564633369446,
0.1263195276260376,
-0.5646394491195679,
-0.1200707182288169... |
instruction:
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
question:
Sentence1: The hotel should be in the moderate price range and should include free wifi. Sentence2: Booking was successful. Reference number is : WJFFGVWD . Is there a... | Answer: (A) User
| 9 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.48355960845947266,
0.47899264097213745,
-0.6466841101646423,
-0.5789656043052673,
0.4254636764526367,
-0.930427074432373,
0.5582964420318604,
1.0885498523712158,
-0.4096498489379883,
-0.13232138752937317,
0.2206302434206009,
0.3656284809112549,
-0.6219896078109741,
-0.09800320863723755,
... |
Given the task definition and input, reply with output. You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fict... | Quantity. | 5 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.5628616213798523,
-0.14661818742752075,
-0.08240070939064026,
0.4187765121459961,
-0.5114742517471313,
-1.0607876777648926,
0.6343907117843628,
0.627718985080719,
-0.3498395085334778,
-0.288707971572876,
-0.6044510006904602,
0.04612913727760315,
-0.06577302515506744,
-0.4781399369239807,... |
Definition: 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: Person1: Do you know how to go to the Fragrant Hills in Beijing ? I heard that they are very famous ... | 1 | 2 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.3115842342376709,
0.3217007517814636,
-0.21182134747505188,
-0.2404017448425293,
0.19751089811325073,
-0.015382309444248676,
0.8940713405609131,
-0.053813159465789795,
-0.09082982689142227,
-0.23421701788902283,
-0.8725881576538086,
-0.39210450649261475,
-0.06714421510696411,
0.56782686... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution is here: positive
Explanation: There is an expression of h... | negative | 6 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.5513834953308105,
-0.21083110570907593,
0.2286970168352127,
0.0035203108564019203,
0.4460715055465698,
-1.045059323310852,
0.3158383071422577,
0.23168888688087463,
0.48108211159706116,
0.4951740503311157,
-0.8779826164245605,
-0.3671413064002991,
-0.6096717119216919,
-0.4642903804779053... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Anche i miei libri sui bambini hanno degli animaletti mordibi.
Output: | אפילו בספרים שלי על ילדים יש חיות חמודות ופרוותיות. | 3 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.6114180088043213,
0.4058775305747986,
-0.8080453872680664,
-0.1248895674943924,
-0.4362196624279022,
0.0915074497461319,
0.2988201975822449,
0.2746286988258362,
-0.30604809522628784,
-0.6696454286575317,
-0.5287452936172485,
-0.09107857942581177,
-1.2136642932891846,
-0.2340815067291259... |
Q: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[28, 63, 158, 32, 10... | [14, 190, 79, 16, 328, 46, 85, 298, 75] | 7 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.2062104046344757,
0.251364529132843,
0.05143214017152786,
-0.7377974987030029,
0.04260313883423805,
-0.4432944655418396,
1.2403920888900757,
0.10966446250677109,
-0.2760095000267029,
0.6902475357055664,
-0.6383068561553955,
-0.21160130202770233,
-0.5434049367904663,
-0.15524822473526,
... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
SECTION 1. SHORT TITLE.
This Act may be cited as the ``Teenage Pregnancy Reduction Act of
1997''.
SEC. 2. EVALUATION OF EFFECTIVE PROGRAMS FOR PREVENTION OF ADOLESCENT
... | Teenage Pregnancy Reduction Act of 1997 - Mandates evaluation (directly or through grants or contracts) of a wide variety of existing promising programs to prevent adolescent pregnancy, including programs that do not receive Federal grants. Mandates scientific peer review of evaluation proposals. Authorizes appropria... | 0 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.06261183321475983,
-0.1537082940340042,
-0.36841464042663574,
-0.33472251892089844,
0.6292078495025635,
-0.2603510022163391,
1.069636344909668,
1.286779761314392,
-0.09332183003425598,
0.6800490617752075,
-0.42239394783973694,
0.9093359708786011,
-0.3079758882522583,
0.11132964491844177,... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Ex Input:
@KicchaSudeep No words Sir... Thank you for the concern..
Ex Output:
Not angry
Ex Input:
Not trying to offend nobody
Ex Output:
Not ang... | Angry
| 1 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.2048903703689575,
0.6475727558135986,
0.9964009523391724,
-0.10759013891220093,
-0.4814178943634033,
-0.7964476346969604,
0.688366174697876,
-0.2481687366962433,
0.10353575646877289,
0.2223120480775833,
0.08787110447883606,
-0.07411635667085648,
-0.8453930616378784,
-0.47645077109336853... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Input: Sentence 1: Agency leaders must c... | government | 2 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.1883604526519775,
0.27601292729377747,
-0.036066897213459015,
-0.12139541655778885,
0.09285371005535126,
0.5191371440887451,
-0.2128690481185913,
0.6198766231536865,
-0.22720320522785187,
0.024060489609837532,
-0.03448188304901123,
-0.4279375970363617,
-0.10563942790031433,
-0.360327631... |
Part 1. Definition
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... | yes | 7 | NIv2 | task472_haspart_classification | fs_opt | [
-0.402582049369812,
0.42002731561660767,
0.38041388988494873,
0.21919231116771698,
0.07396042346954346,
-1.1653501987457275,
-0.2089318037033081,
0.809964656829834,
0.7405458688735962,
-0.5690958499908447,
-0.21310630440711975,
-0.0018584461649879813,
-0.44327637553215027,
0.21038267016410... |
instruction:
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's quest... | agent
| 9 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.27947917580604553,
0.4028700292110443,
-0.27075597643852234,
0.014881584793329239,
-0.40842774510383606,
-0.22012707591056824,
0.5039757490158081,
-0.09165620058774948,
0.3594491481781006,
0.00264408509247005,
-0.282762348651886,
-0.19260546565055847,
-0.5491622686386108,
0.496091753244... |
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two... | 12 | 4 | NIv2 | task244_count_elements_in_set_union | zs_opt | [
0.4060235023498535,
0.7398948669433594,
-1.0278737545013428,
-0.2722136676311493,
-0.18218308687210083,
0.38992246985435486,
0.6691373586654663,
0.586827278137207,
-0.3713679015636444,
-0.17213541269302368,
-0.7389370799064636,
-0.05860196426510811,
0.07001233845949173,
0.09527081251144409... |
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 proper noun ph... | The officials had been positive about Kinkel <B-PER> 's request on Wednesday that President Boris <B-PER> Yeltsin <I-PER> 's security chief Alexander <B-PER> Lebed <I-PER> should , on his return to Moscow <B-LOC> , meet Tim <B-PER> Goldiman <I-PER> , the OSCE <B-ORG> representative responsible for Chechnya <B-LOC> , he... | 6 | NIv2 | task610_conllpp_ner | fs_opt | [
0.20337694883346558,
-0.5268656015396118,
0.22403571009635925,
0.04095177724957466,
0.4824832081794739,
0.2570602595806122,
0.6710990071296692,
0.8652052879333496,
-0.6478080749511719,
-0.0004435266018845141,
-0.9262018203735352,
0.23912325501441956,
-0.3488216996192932,
0.4210383892059326... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: من يهمه أمر سوريا ؟! من يهمه أمر البوسنة ؟!
Output: | A chi importa la Siria? A chi importa la Bosnia? | 3 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.6618777513504028,
0.8514713644981384,
-0.28490662574768066,
-0.4127902388572693,
-0.3800877332687378,
-0.20582237839698792,
0.8046914339065552,
0.4643692076206207,
0.27672022581100464,
-0.16094326972961426,
-0.7352903485298157,
1.192781686782837,
-0.018253978341817856,
0.1454680860042572... |
instruction:
This task is about translating a given French language sentence to English.
question:
Encore une fois, je veux que vous y réfléchissiez ne regardez pas ces graphismes en pensant qu'ils sont ce qu'ils sont.
answer:
David Perry: The thing again I want you to think about is, don't look at these graphics and t... | By now, we trust ourselves
| 9 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.8630127906799316,
0.5780124664306641,
0.2848494052886963,
-0.5561461448669434,
-0.28820788860321045,
-0.8205709457397461,
0.9437918066978455,
0.26245516538619995,
0.31913408637046814,
-0.17550677061080933,
-0.5772098302841187,
0.3042081892490387,
-0.3677845597267151,
-0.1627924144268036... |
Detailed Instructions: 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".
See one example below:
Problem: 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... | Yes | 4 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.6932722926139832,
-0.5429407358169556,
-0.02477019652724266,
0.06777004152536392,
0.20409737527370453,
-0.5537187457084656,
0.44499486684799194,
0.19773522019386292,
-0.6228903532028198,
-0.048648860305547714,
-0.008893321268260479,
0.6903181076049805,
-0.3292626142501831,
0.78117787837... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | Did Darrelle Revis have more tackles or sacks?
| 5 | NIv2 | task026_drop_question_generation | fs_opt | [
0.8965508937835693,
-0.21246396005153656,
-0.68635094165802,
0.2522295117378235,
0.43125343322753906,
-0.26340287923812866,
0.8626190423965454,
0.22076980769634247,
0.2094067931175232,
0.04986823350191116,
-0.7326842546463013,
0.6014260053634644,
-0.751721978187561,
0.3923565447330475,
-... |
Given the task definition, example input & output, solve the new input case.
Translation from English to Telugu.
Example: Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Output: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీ... | ఇది దాదాపు మధ్యాహ్నం ఉంది. | 1 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
-0.3414807915687561,
0.67962646484375,
-0.23672530055046082,
0.299344539642334,
-0.8267683982849121,
-0.3549783229827881,
-0.21597330272197723,
0.35554239153862,
-0.5544774532318115,
-0.5418455600738525,
-0.6901061534881592,
-0.3278435170650482,
-0.3838005065917969,
-0.1478610336780548,
... |
instruction:
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... | strengthener
| 9 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
0.11765849590301514,
0.45713698863983154,
0.06468677520751953,
0.1607772409915924,
0.0936778336763382,
-0.8839306831359863,
0.54230797290802,
0.9795253276824951,
0.37675267457962036,
-0.32363688945770264,
-1.3799479007720947,
0.23919253051280975,
-0.7219288945198059,
-0.18086880445480347,
... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
There is no such thing as a domestic issue when certain ideologies and certain po... | Spanish
| 0 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.24224121868610382,
0.5790296196937561,
0.4911141097545624,
-0.41358324885368347,
-0.35685405135154724,
-0.6924803256988525,
0.6980352401733398,
0.863924503326416,
0.22566357254981995,
-0.16576015949249268,
-0.0025073164142668247,
0.10282174497842789,
-0.4428573250770569,
-0.7921833992004... |
Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Input: Beg... | 1 | 3 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.5400713682174683,
0.5735586285591125,
0.27962610125541687,
-0.3505905568599701,
-0.5140154361724854,
-0.3531404733657837,
0.088018499314785,
0.9434781074523926,
-0.056163445115089417,
-0.035209812223911285,
-0.7137430906295776,
-0.37874647974967957,
-0.11661706864833832,
-0.198440849781... |
Definition: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. ... | Not Funny | 2 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.14772328734397888,
0.5189893245697021,
0.16254860162734985,
-0.2661275863647461,
-0.4935475289821625,
-0.6966955661773682,
0.1561807096004486,
0.9337913990020752,
0.3486296534538269,
-0.33287346363067627,
-0.8346223831176758,
-0.21255025267601013,
-1.1063743829727173,
0.36015796661376953... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Solution: Isto inclúe un sistema en árabe chamado al-... | Esa é esencialmente unha garantía do que atopará o LHC. | 2 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
0.005721217952668667,
1.3554445505142212,
0.01150231808423996,
0.0746479406952858,
-0.3340510427951813,
-1.326124668121338,
0.5908026695251465,
0.7511691451072693,
-1.156177282333374,
-0.37820684909820557,
-0.21237081289291382,
-0.13417568802833557,
-0.7220802903175354,
0.34068435430526733... |
Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX:... | NNP | 2 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.36214548349380493,
0.017792152240872383,
-0.11935079097747803,
0.1132127121090889,
0.07431671023368835,
-0.9766355156898499,
0.6612004041671753,
0.6116320490837097,
-0.47129786014556885,
-0.38888898491859436,
-0.21972304582595825,
0.3919309973716736,
-0.09586310386657715,
0.1138529777526... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using... | Two dogs outside. | 6 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.9193660020828247,
0.3170403838157654,
0.04710156470537186,
-0.4232759475708008,
-0.18865789473056793,
-0.48009005188941956,
-0.157061368227005,
0.8953448534011841,
-0.13110768795013428,
-0.7975749969482422,
-0.893487274646759,
-0.19949939846992493,
-0.12574689090251923,
-0.3484019637107... |
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 .
Ex Input:
Statement: ഫെനിയൻ വിപ്ലവ പ്രസ്ഥാനത്തെ ചാൾസ് പാർനലിന്റെ വ്യവസ്ഥാപിത പ്രക്ഷോഭവുമായി ബന്ധപ്പെടുത്തി പ്രവ... | ഐഹോളെ
| 1 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.08973245322704315,
0.2594704031944275,
-0.7880593538284302,
-0.023708732798695564,
-0.07059349119663239,
-0.8327219486236572,
0.3670807182788849,
0.42578619718551636,
0.004041947890073061,
0.6097264885902405,
-0.6308465003967285,
0.3186388909816742,
-0.5266060829162598,
0.009392498992383... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: These laws are uncoordinate... | 1 | 5 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-1.0314983129501343,
0.5818244218826294,
0.49637168645858765,
-0.1747264266014099,
-0.37396860122680664,
0.3635171353816986,
0.04511700198054314,
0.7424224019050598,
-0.22543464601039886,
-0.2111300230026245,
-0.7168847322463989,
-0.1451834738254547,
-0.33014732599258423,
-0.56815052032470... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example input: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles.
Example ou... | But even though I had this newfound joy and freedom, people's reaction completely changed towards me. | 3 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.06916393339633942,
0.7199723720550537,
0.07586706429719925,
-0.7095036506652832,
-0.2981683909893036,
-1.3516535758972168,
-0.23677679896354675,
0.4319411516189575,
0.7355070114135742,
-0.857820987701416,
0.04061701148748398,
0.35008180141448975,
-0.5560392141342163,
-0.0795353427529335... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Problem:Table TABREF46 shows that our Open model achieves more than 3 points of f1-score... | How big is improvement over the old state-of-the-art performance on CoNLL-2009 dataset? | 8 | NIv2 | task461_qasper_question_generation | zs_opt | [
-0.40867841243743896,
0.09475934505462646,
-0.07470186054706573,
-0.5965912342071533,
-0.15514585375785828,
0.3101174235343933,
1.0481219291687012,
0.5121654868125916,
0.11934440582990646,
0.15987417101860046,
-0.48771125078201294,
0.07340292632579803,
-0.3321382701396942,
0.07067981362342... |
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