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 will be given a definition of a task first, then some input of the task.
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 The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.19165098667144775,
0.27547287940979004,
0.36862713098526,
-0.024115022271871567,
-0.44015711545944214,
-0.7672434449195862,
1.258549451828003,
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-0.6122214198112488,
-0.32087886333465576,
-0.2818050980567932,
-0.6672611236572266,
-0.5493863821029663,
0.4074249863624573... |
Definition: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: SpaceXは現在、その場所で5年間リース契約している。
Khamer: ថ្មីៗនេះស្ពេសXមានកិច្ចសន្យាប្រាំឆ... | Yes | 2 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.6242648363113403,
0.03608843311667442,
-0.18429163098335266,
-0.3277624845504761,
0.14888378977775574,
-0.15575401484966278,
0.2226511389017105,
0.43851983547210693,
-0.12150093168020248,
-0.2027423083782196,
0.47371184825897217,
-0.17048245668411255,
-0.5445940494537354,
0.349809587001... |
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 | [
-0.5844014883041382,
0.6766884922981262,
-0.05210869759321213,
0.38027217984199524,
-0.3120296597480774,
0.266090989112854,
0.6864027380943298,
0.6548916697502136,
0.41768625378608704,
0.004676009528338909,
-0.7401062846183777,
0.08583788573741913,
-0.07929175347089767,
0.231104776263237,
... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Input: Sentence 1: The sexy girls with terrific hair would dashingl... | yes | 2 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7694411277770996,
0.19023889303207397,
0.6158458590507507,
-0.2162175476551056,
0.3513994514942169,
-0.6410577297210693,
0.23842856287956238,
0.9537007808685303,
0.013499874621629715,
0.504462480545044,
-0.439670592546463,
-0.8003383874893188,
-0.54207843542099,
-0.31107303500175476,
... |
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".
One example: English: Details were given by the UK Transport Secretary, Ruth Kelly, ... | Yes | 6 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.0398126095533371,
0.04760074242949486,
0.45758894085884094,
-0.1949625462293625,
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-0.37655583024024963,
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-0.2972671091556549,
-0.20080894231796265,
0.08451101928949356,
0.5781977772712708,
-0.30899232625961304,
0.485355794429779... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Q: Context: Jo... | C
****
| 4 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.3136127293109894,
0.4411545395851135,
-0.019627775996923447,
-0.41705024242401123,
-0.270096093416214,
-0.04886416718363762,
0.9368910789489746,
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0.009327353909611702,
-0.23716667294502258,
0.22186820209026337,
-0.4035429060459137,
-0.377036154270172... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | Yes | 0 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
-0.26912856101989746,
0.78419029712677,
-0.20366477966308594,
0.8566402196884155,
0.3890349864959717,
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1.2586860656738281,
0.09861662983894348,
-0.6002533435821533,
0.5222562551498413,
0.1392654925584793,
-0.03346811234951019,
-0.6412749886512756,
0.531974196434021,
-... |
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 | 4 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.6898142695426941,
0.428691029548645,
0.07756011188030243,
0.010939166881144047,
0.310895711183548,
-0.7488443851470947,
0.8007587790489197,
-0.3082438111305237,
0.5749142169952393,
0.1784183233976364,
-0.4726142883300781,
0.2796024680137634,
-0.29477453231811523,
-0.0190468430519104,
... |
Part 1. Definition
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Part 2. Example
סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Answer: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Explanation: Th... | الجمهور: 1966. | 7 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.2087344527244568,
0.5781643390655518,
0.023090459406375885,
-0.7218907475471497,
-0.4701192378997803,
0.3481764793395996,
1.2503786087036133,
-0.05037126690149307,
0.6850447058677673,
-0.35264647006988525,
-1.3461172580718994,
-0.04288731515407562,
-0.8916740417480469,
-0.02358510345220... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Unrelated | 6 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.054869394749403,
0.5254278182983398,
-0.4570782780647278,
0.20234249532222748,
-0.11407114565372467,
-0.35476624965667725,
0.5384732484817505,
0.7687379717826843,
0.421772837638855,
-0.6154517531394958,
-0.7188454866409302,
0.2745863199234009,
-0.7711958289146423,
-0.3187481462955475,
... |
Detailed Instructions: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Si analizamos la gasolina, por ejemplo, veremos que los impuestos especiales en Alema... | If one looks at petrol, for example, one sees that excise taxes in Germany are different from those of Holland, and consequently Dutch motorists cross the border and fill up their tanks in Germany. | 9 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.2844353914260864,
0.18802744150161743,
0.5021448135375977,
-0.301954448223114,
-0.16198915243148804,
-1.136969804763794,
0.37177276611328125,
0.9966650009155273,
-0.08843246102333069,
-0.021929748356342316,
-0.3011772036552429,
0.31201523542404175,
-0.352467805147171,
0.0227930061519145... |
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 intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underh... | Yes
| 6 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.6006622314453125,
0.28494566679000854,
0.05284034460783005,
0.4609350860118866,
-0.09862826019525528,
-0.35248038172721863,
0.44201964139938354,
0.7278041243553162,
0.006614405196160078,
0.07892821729183197,
-0.11886966228485107,
-0.10909321904182434,
-0.17215222120285034,
-0.4459946155... |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting s... | INFORM_INTENT
| 5 | NIv2 | task880_schema_guided_dstc8_classification | fs_opt | [
0.21920204162597656,
0.16533194482326508,
0.09988722950220108,
0.47909021377563477,
-0.133078932762146,
-0.015851983800530434,
0.22137881815433502,
0.585642397403717,
0.23380723595619202,
0.1253555864095688,
-0.8097673654556274,
-0.3279801309108734,
-0.3914681077003479,
0.1296485960483551,... |
Part 1. Definition
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Part 2. Example
ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: ... | Vegan Roulade | 7 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.7823885679244995,
0.757299542427063,
-0.23128800094127655,
0.7804884910583496,
0.16258496046066284,
-0.1782597154378891,
0.2724200487136841,
0.6862245202064514,
-0.5457489490509033,
-0.23646202683448792,
-0.23399858176708221,
0.2444411963224411,
-0.589909553527832,
-0.008822763338685036,... |
Q: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exi... | Father's Day | 7 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.5247470140457153,
0.13780894875526428,
-0.4689747989177704,
-0.030640706419944763,
0.7722954750061035,
-0.22102855145931244,
1.3048124313354492,
0.8320584893226624,
-0.23069703578948975,
0.2789856195449829,
0.11942017078399658,
1.054337739944458,
-0.4619305729866028,
0.02881510555744171,... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subjec... | A man on a skateboard. | 6 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.49554240703582764,
0.5130982398986816,
0.7127456068992615,
-0.7905200123786926,
-0.18593460321426392,
-0.8291834592819214,
-0.46335893869400024,
1.1264350414276123,
0.08481575548648834,
-0.3407302796840668,
-1.257460117340088,
-0.711399257183075,
-0.5761165618896484,
-0.5164024829864502... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful | 8 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
0.011145178228616714,
0.02921586111187935,
0.1571061909198761,
0.47564226388931274,
-0.3537991940975189,
-0.7953768968582153,
-0.30458876490592957,
1.1637818813323975,
0.09764927625656128,
0.25460413098335266,
-0.4716656804084778,
0.25009989738464355,
-0.22622275352478027,
-0.4930083155632... |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: CHINESE CALENDAR ANIMALS
Clue: This wascally sign whose years inc... | a rabbit | 2 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.7637485265731812,
0.5138923525810242,
-0.20842638611793518,
-0.3480220139026642,
0.08786984533071518,
-0.36556628346443176,
0.71340411901474,
-0.0858057290315628,
-0.35636717081069946,
-0.16233086585998535,
-0.616468071937561,
0.15354958176612854,
-0.455453097820282,
0.5566097497940063,... |
Part 1. Definition
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 .
Part 2. Example
Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको ... | पृथ्वी | 7 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.2856791019439697,
0.6894625425338745,
-0.33737713098526,
-0.13168615102767944,
0.04762376472353935,
-1.2222572565078735,
0.005429178476333618,
0.3691168427467346,
0.10539805889129639,
-0.2652432918548584,
-0.004454885143786669,
0.4291817843914032,
-0.49953198432922363,
-0.335120022296905... |
Detailed Instructions: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking cou... | non-overruling | 4 | NIv2 | task274_overruling_legal_classification | fs_opt | [
-0.4703007638454437,
0.6603496074676514,
0.44078582525253296,
-0.6883420944213867,
-0.1366625726222992,
-1.1186232566833496,
0.703079342842102,
0.8639377355575562,
0.5035940408706665,
-0.43135762214660645,
-0.3458085060119629,
-0.4585306644439697,
-0.9567617774009705,
-0.07993568480014801,... |
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Let me give you an example: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
The answer to this example can be: A herd of sheep standing together grazing in a pasture.
Here is why: T... | A blue and white train engine pulling lots of brown train cars through a rural area. | 8 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.7929231524467468,
0.22677432000637054,
0.255895733833313,
-0.3172297477722168,
-0.06064550578594208,
-0.7606081962585449,
-0.11167769879102707,
0.25045764446258545,
-0.1690671741962433,
-0.3768281638622284,
-1.0210095643997192,
0.0632096529006958,
-0.2691360116004944,
-0.273119479417800... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_bottle
| 7 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.6642978191375732,
-0.5278781652450562,
-0.48625802993774414,
-0.18141359090805054,
-0.29799896478652954,
-0.36841467022895813,
-0.3228597640991211,
0.7384767532348633,
0.0637998878955841,
-0.18316052854061127,
-0.15817341208457947,
0.2695608139038086,
0.012871542945504189,
0.409174352884... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Ex Input:
Context: David Warren Ellefson (born November 12, 1964) is an American bassist and 2nd ... | capital punishment
| 1 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.535469651222229,
0.31744033098220825,
-0.4612322151660919,
-0.06433017551898956,
0.5150836110115051,
-0.5652289390563965,
0.9858716726303101,
0.5357545018196106,
-0.028120551258325577,
0.7555665373802185,
-0.33699777722358704,
0.5915411710739136,
-0.7822388410568237,
0.30615168809890747,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
One example: Comment: Enough already. Cut the he... | Non-threat | 6 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.8455880880355835,
1.1181633472442627,
0.7602301836013794,
0.2646715044975281,
-0.3420432209968567,
-0.8749411702156067,
1.040528655052185,
0.8911836743354797,
0.0870310589671135,
0.2248653918504715,
0.07235950231552124,
0.13437670469284058,
-0.7767989635467529,
-0.4821600317955017,
-0... |
You will be given a definition of a task first, then some input of the task.
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... | unrelated | 1 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.27704036235809326,
0.6943966746330261,
0.23508688807487488,
-0.38069233298301697,
0.16987545788288116,
-0.05147324874997139,
0.30151402950286865,
1.0722336769104004,
0.3475084900856018,
0.1801731139421463,
-0.6025716662406921,
0.21396902203559875,
-0.5828264355659485,
-0.443714946508407... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Neutral | 6 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.12564679980278015,
0.43425989151000977,
-0.626537024974823,
0.18622562289237976,
0.401291161775589,
-1.2638572454452515,
1.2122116088867188,
0.48387739062309265,
0.12953367829322815,
0.23344983160495758,
-0.13030226528644562,
0.062476713210344315,
-0.34216001629829407,
0.035708427429199... |
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 th... | anti-stereotype
| 6 | NIv2 | task320_stereoset_classification_race | fs_opt | [
0.04879379644989967,
0.38322824239730835,
0.0705501139163971,
-0.23496495187282562,
-0.05757906660437584,
-0.5468477606773376,
0.4448193311691284,
1.0045437812805176,
0.32797694206237793,
0.03523845598101616,
-0.6701205968856812,
-0.09744764864444733,
-0.5015533566474915,
-0.32015895843505... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
One example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Solution is here: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É com... | Fose o que fose, aposto que, ademais doutras cousas, esto deuvos un pouco de liberdade, un pouco máis de tempo. | 6 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.6148275136947632,
0.4387352466583252,
0.09763024747371674,
-0.7892822027206421,
-0.15830907225608826,
-0.25575023889541626,
0.9512121677398682,
0.3506259322166443,
-0.39948320388793945,
-0.7357543110847473,
-0.024721678346395493,
-0.010669044218957424,
-0.8440923690795898,
-0.3650376796... |
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: "AI"
Clue: This often blended rum & juice cocktail is named for a Cuban to... | harold ii, edward the confessor or william the conqueror
| 6 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.3877813220024109,
0.7189613580703735,
0.023854490369558334,
-0.9377245903015137,
-0.44616326689720154,
-0.0337502583861351,
0.11941875517368317,
0.282076358795166,
-0.23180153965950012,
0.1312996745109558,
0.2169085592031479,
-0.7132538557052612,
-1.0242615938186646,
0.7696040272712708,... |
TASK DEFINITION: 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. Y... | No
| 8 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.6017202734947205,
0.47151270508766174,
0.16094087064266205,
-0.06229613721370697,
-0.2664640545845032,
-1.115336298942566,
1.4985320568084717,
0.6333166360855103,
-0.41257375478744507,
-0.45020759105682373,
-0.22376535832881927,
-0.3109445571899414,
-0.7173798084259033,
-0.21149981021881... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Q: Context: .@alo_oficial crashed before turn 4. The ambulance had to access in #Circuit tracks but Alonso is ok and conscious #F1— Circuit BCN-CAT E... | four | 4 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-0.446346640586853,
0.997961163520813,
0.5765280723571777,
0.3754807114601135,
-0.14106476306915283,
-0.15186206996440887,
-0.17152079939842224,
0.2694494128227234,
0.06081917881965637,
-0.08820189535617828,
-0.7754688858985901,
-0.26106560230255127,
0.6030656099319458,
0.43401551246643066... |
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 ... | None | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.49076375365257263,
0.12322691828012466,
0.0914842039346695,
-0.4379309415817261,
0.21990159153938293,
-0.1565733402967453,
1.0304006338119507,
0.48816388845443726,
0.09769558161497116,
-0.2854892611503601,
-0.09706639498472214,
-0.0687800794839859,
-0.6840263605117798,
0.133659139275550... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Anna Marlyn Monroe pathi solunga | Hope Speech | 0 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.5687106251716614,
-0.43384766578674316,
0.4599561095237732,
0.996105432510376,
-0.12619255483150482,
-0.8810865879058838,
-0.507985532283783,
0.5612576007843018,
-0.5496736764907837,
0.20473426580429077,
0.12589910626411438,
-0.11808215081691742,
0.028955642133951187,
-1.020522713661193... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
PROBLEM: הוא החליט לקחת לידיו את המדינה באופן לא פורמלי ואז פורמלי ואז יצר מדיניות יפה לכל האזור
SOLUTION: Postanowił przejąć kontrolę nad stanem, najpierw nieoficjalnie, potem oficjalnie. Zaprowadził zasadę ... | Są fascynujący. Na całym świecie.
| 8 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
0.11999635398387909,
1.0337495803833008,
0.37520867586135864,
-0.16146400570869446,
-0.22022604942321777,
0.3566516041755676,
1.4936423301696777,
-0.04691265523433685,
0.41941922903060913,
-0.1600513458251953,
-0.9759842157363892,
0.4428200125694275,
-0.8862087726593018,
-0.028081130236387... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: اینکار فهم بهتری از وبلاگستان بهمون میده و کمک میکنه وبلاگهای مرده رو حذف کنیم.
Student: | This will give me a better understanding of the Persian blogosphere and will help reject dead blogs. | 6 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-1.0879900455474854,
-0.17343923449516296,
0.34430992603302,
-0.4258207380771637,
-0.0031527276150882244,
-0.4206680655479431,
0.8533285856246948,
0.2537773549556732,
0.42651233077049255,
0.0074622733518481255,
0.013325564563274384,
0.08820419758558273,
-0.43617770075798035,
0.280122756958... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Context_1 : Charles Edw... | author | 1 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7602887153625488,
0.3591175973415375,
-0.8544505834579468,
0.9977307915687561,
0.576438307762146,
-0.05097053945064545,
0.6888904571533203,
0.6518676280975342,
-0.05304574593901634,
0.3679473400115967,
-0.096535325050354,
0.5506277084350586,
-0.7469319105148315,
-0.08422438055276871,
0... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
[Q]: I was listening to all the experts and talking to sort of a board of medical advisers.
[A]: Escoitei a todos eses expertos e falei cunha especie de grupo de conselleiros médicos.
[Q]: They're just relentless and ob... | Eu, como antropóloga ciborg, díxenme de pronto: "" Vaia! Somos unha nova forma de homo sapiens. Mirade estas culturas fascinantes. Mirade estes rituais curiosos de toda esta xente arredor desta tecnoloxía.
| 5 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.4675317108631134,
0.6902092695236206,
-0.23001417517662048,
-0.19303661584854126,
-0.20429328083992004,
-1.715771198272705,
0.5385841131210327,
-0.38722747564315796,
0.31548815965652466,
-0.12346120178699493,
0.28948086500167847,
0.15253916382789612,
-0.008491383865475655,
0.81800568103... |
Teacher:In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additiona... | weakener | 6 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.12900210916996002,
0.027885936200618744,
-0.415466845035553,
-0.1420457512140274,
-0.01574404537677765,
-1.345984935760498,
1.1968129873275757,
1.1586720943450928,
0.3120424151420593,
-0.6265590190887451,
-0.9899308681488037,
-0.22756433486938477,
-0.8165592551231384,
-0.0505697093904018... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', ... | disgust,No emotion,disgust,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.7395928502082825,
0.2414500117301941,
-0.08630922436714172,
-0.7758281826972961,
-0.06551621109247208,
-0.10245786607265472,
0.7752533555030823,
-0.2510520815849304,
0.16166114807128906,
-0.5832442045211792,
0.014068040996789932,
-0.34051811695098877,
-0.6493154764175415,
0.390946865081... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
One example: Passage: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant land... | 1 | 6 | NIv2 | task1661_super_glue_classification | fs_opt | [
-0.26119813323020935,
0.4976889491081238,
-0.5076890587806702,
0.38379621505737305,
0.5424774885177612,
-0.4817492961883545,
1.0309756994247437,
1.2965774536132812,
-0.045720286667346954,
0.13555428385734558,
-0.4188367426395416,
0.7947355508804321,
-0.42379826307296753,
-0.019054640084505... |
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Let me give you an example: My Kids Love It . ... | POS | 8 | NIv2 | task477_cls_english_dvd_classification | fs_opt | [
-0.3851415514945984,
-0.05069894716143608,
-0.7017552852630615,
0.18660244345664978,
0.10592284053564072,
-0.47538697719573975,
1.0954139232635498,
0.49657943844795227,
0.49327898025512695,
0.5762022733688354,
-0.06669475138187408,
-0.3135785460472107,
-0.03798605129122734,
-0.018189802765... |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix... | Solution: Yes | 5 | NIv2 | task1442_doqa_movies_isanswerable | fs_opt | [
0.8886549472808838,
0.11925989389419556,
-0.24647977948188782,
0.5941879153251648,
-0.05608951672911644,
-0.7613816261291504,
0.8021403551101685,
1.2877414226531982,
-0.3789626955986023,
0.1585654616355896,
-0.2956090569496155,
-0.09821279346942902,
-0.3884619474411011,
0.4277961254119873,... |
Part 1. Definition
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 cla... | A proposed merger that involves 13 Massachusetts hospitals has received approval from a key state board, but hurdles remain. | 7 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.7543327808380127,
0.16761906445026398,
0.15404829382896423,
0.071810781955719,
0.45145705342292786,
-0.6512314081192017,
0.002452931832522154,
0.9376962184906006,
-0.37388256192207336,
0.32124072313308716,
-0.37345436215400696,
0.7261128425598145,
0.1270492523908615,
0.37028008699417114,... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Ex Input:
Doctor Who: D'you... | flame
| 1 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
0.2555321455001831,
0.18843206763267517,
-0.4109293222427368,
-0.6918224692344666,
0.09844490885734558,
-1.1576364040374756,
0.9372240304946899,
0.42762959003448486,
0.4068186283111572,
0.2085970640182495,
-0.3800288140773773,
0.7240695953369141,
-0.22958871722221375,
0.06619298458099365,
... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
[Q]: The plot of the film focuses on the life of a Chinese American family who struggles with identity. The mother, Doris Chu, has undergon... | Barbara Berman
| 5 | NIv2 | task330_gap_answer_generation | fs_opt | [
0.6903332471847534,
0.2958719730377197,
-0.2316288948059082,
0.1683536171913147,
-0.05321040749549866,
0.10327436029911041,
-0.00739117618650198,
0.7149985432624817,
0.43023037910461426,
0.0516110360622406,
-0.07615937292575836,
-0.010861673392355442,
0.16807228326797485,
-0.44739800691604... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm... | [9.0, 72.0, 22.5, 20.5, 65.0, -27.0] | 8 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.853158712387085,
-0.08309284597635269,
-0.8295553922653198,
-0.42359232902526855,
-0.19108960032463074,
0.5639958381652832,
0.664222240447998,
0.5947849154472351,
0.08937142789363861,
-0.09732422232627869,
-0.5403211116790771,
-0.44986677169799805,
-0.08068729937076569,
0.45352742075920... |
Detailed Instructions: In this task you are given a passage in Bulgarian as the input content. You are expected to generate a suitable title for the passage which accurately summarizes the contents of the passage. The input is provided in the form of a long passage comprising of multiple sentences. The output should be... | Pa1.bg – порталът за новини на Пазарджишка област » Blog Archive » Вижте как се разпределят средствата от „Изгряваща надежда“ | 9 | NIv2 | task1561_clickbait_new_bg_summarization | zs_opt | [
1.3730127811431885,
0.16923929750919342,
-0.4381944537162781,
-0.44150274991989136,
0.2753852307796478,
0.22897771000862122,
1.1928339004516602,
0.9152717590332031,
-0.1970788538455963,
0.29778853058815,
-0.42624631524086,
0.7150033712387085,
-0.3847895562648773,
0.5401574969291687,
-0.4... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a
| 1 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.2582877278327942,
-0.09286683797836304,
-0.001408059848472476,
0.326166570186615,
0.2917065918445587,
-0.5698007345199585,
0.308185338973999,
1.0223238468170166,
-0.3532491624355316,
0.378863126039505,
-0.7442355751991272,
-0.03046926110982895,
0.2992032766342163,
-0.3395146131515503,
... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false ... | green_crate | 8 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
-0.00016270714695565403,
-0.15231499075889587,
-0.2047218680381775,
-0.03295845910906792,
-0.3829568028450012,
-0.38006889820098877,
0.16819769144058228,
0.8272417783737183,
0.5669838190078735,
-0.40143951773643494,
-0.28839051723480225,
0.378592848777771,
-0.08212321996688843,
-0.19935791... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | N
| 5 | NIv2 | task534_farstail_entailment | fs_opt | [
0.14346984028816223,
0.5618676543235779,
0.3465449810028076,
-0.13782641291618347,
-0.14790496230125427,
0.4009605348110199,
0.9712162017822266,
1.2573535442352295,
0.22876250743865967,
-0.12483920902013779,
-0.71619713306427,
-0.341858834028244,
-0.39977675676345825,
-0.34163910150527954,... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | French food Café Blue Spice has a price range more than £30 and is located in city centre. | 3 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.7011469006538391,
0.28675806522369385,
-0.11328325420618057,
-0.530569314956665,
0.1404092013835907,
-0.20452336966991425,
0.24631045758724213,
0.7633441090583801,
0.07206010818481445,
0.0986662358045578,
0.10954376310110092,
-0.08687487244606018,
-0.08805786073207855,
-0.65074479579925... |
Given the task definition and input, reply with output. In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples a... | The Mill is a type of pub, which offers Indian food, with a high price range, it is located in a riverside area. | 5 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.9665680527687073,
0.8097139000892639,
-0.2989662289619446,
-0.005018341355025768,
-0.7584720253944397,
0.23226207494735718,
0.036888621747493744,
-0.055911168456077576,
-0.07471386343240738,
-0.4491825997829437,
-1.097111701965332,
0.061794862151145935,
0.14384911954402924,
-0.110462829... |
Detailed Instructions: 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.
Problem:Context: So ... | no | 8 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.9472345113754272,
0.17422045767307281,
0.3294681906700134,
0.4501194357872009,
-0.45714229345321655,
-0.5808436274528503,
0.5535284280776978,
0.8518486618995667,
0.012415805831551552,
0.5685439109802246,
-0.46695250272750854,
-0.3399638533592224,
-0.35890936851501465,
-0.038985427469015... |
Given the task definition and input, reply with output. In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a man covers his ears with his hands as he stands outside a store'. How many words start with the letter 'a' in the s... | 3 | 5 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
-0.02373576909303665,
1.144744873046875,
0.008116550743579865,
-0.8037861585617065,
-0.5183641314506531,
0.28422242403030396,
0.07975005358457565,
0.532944917678833,
0.752734899520874,
-0.5482486486434937,
-0.7946012616157532,
-0.1258888989686966,
-0.2345372438430786,
-0.499782919883728,
... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (1, 2) | 8 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.2611783742904663,
0.49491941928863525,
-0.07314817607402802,
-0.8471322655677795,
0.15535126626491547,
-0.07851114124059677,
0.17337946593761444,
0.8459761142730713,
0.11873301863670349,
-0.05481716990470886,
-0.3234502375125885,
-0.08011181652545929,
-0.4564330577850342,
-0.13911536335... |
Given the task definition and input, reply with output. 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.
lol just forget about it well that made me rolling on floor laughing grinningfacewithsweatgrinningfa... | happy | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.953351616859436,
0.8606833219528198,
0.8674964904785156,
-0.6114698648452759,
-0.2796446681022644,
-0.20657332241535187,
0.42686307430267334,
0.2864467203617096,
0.5463611483573914,
-0.5807668566703796,
-0.45667868852615356,
-0.2707587480545044,
-0.6656144261360168,
0.1089581847190857,
... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Q: Passage: "My... | point | 4 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.878292441368103,
0.7825806140899658,
0.03423217684030533,
-0.3822818398475647,
-0.30453363060951233,
0.10829277336597443,
0.6684705018997192,
0.2413172721862793,
-0.15242385864257812,
-0.01991415210068226,
-0.32765913009643555,
0.21832135319709778,
-0.6953648328781128,
0.3095350265502929... |
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: After spending a year in Braz... | Yes
| 0 | NIv2 | task310_race_classification | fs_opt | [
0.22340238094329834,
-0.2636992633342743,
0.19225437939167023,
-0.009473012760281563,
0.8218088150024414,
-0.0186032522469759,
0.7764946818351746,
1.0893359184265137,
-0.2150374799966812,
0.41162022948265076,
0.4572247266769409,
0.8357643485069275,
-1.0103578567504883,
0.042176753282547,
... |
Detailed Instructions: The provided file includes inquiries about restaurants in Chinese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. W... | show me a list of " vegan " restaurants with at least 1 reviews . | 9 | NIv2 | task260_spl_translation_zh_en | zs_opt | [
-0.5263586044311523,
0.4868604838848114,
0.36422404646873474,
-0.3772491216659546,
-0.14891251921653748,
0.0001608915627002716,
0.4557313919067383,
0.36602097749710083,
-0.10066672414541245,
-0.04843107610940933,
0.9121170043945312,
0.3850123882293701,
0.15393920242786407,
0.90410864353179... |
Part 1. Definition
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Part 2. Example
Context: D... | Answer: 1899 | 7 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.8352335691452026,
0.258108526468277,
0.09123069792985916,
-0.156561478972435,
-0.21456703543663025,
-0.5587515830993652,
0.5096793174743652,
0.6386449337005615,
0.46801474690437317,
-0.1666216254234314,
-0.6720442175865173,
0.264926016330719,
-1.0020697116851807,
0.16017945110797882,
... |
Detailed Instructions: Given a premise and two alternatives in Marathi, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The premise is the 'विधान' field and the alternatives are the 'पर्याय A' and 'पर्याय B' fields The output should either be "पर्याय A" or "पर्... | पर्याय B | 4 | NIv2 | task942_copa_mr_commonsense_reasoning | fs_opt | [
-0.13603994250297546,
0.21939560770988464,
-0.18359515070915222,
0.06377290189266205,
-0.8056284785270691,
-0.6769188046455383,
0.5260509252548218,
0.9060741066932678,
0.23129713535308838,
0.27063530683517456,
-0.773241400718689,
0.04751873388886452,
0.0944104939699173,
0.3425665497779846,... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
One example: Timothy likes to play sports. He spends his time after school playing basketball and baseball. Som... | Yes | 6 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.3961993455886841,
-0.0656367763876915,
-0.5624032020568848,
0.5312688946723938,
0.19024768471717834,
-0.2923663854598999,
0.8588564395904541,
0.48768091201782227,
-0.4573574364185333,
-0.047468364238739014,
-0.2555590867996216,
0.4272150993347168,
-0.5776216983795166,
0.07030699402093887... |
Teacher: This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion ... | Yí po | 2 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.027890142053365707,
0.3515605330467224,
0.4632647633552551,
-0.4455793499946594,
-0.12573370337486267,
-0.44757020473480225,
-0.2651364803314209,
1.3168513774871826,
0.17165085673332214,
-0.6337985396385193,
0.3681955337524414,
0.3538609743118286,
-1.1961365938186646,
0.1582772135734558... |
Teacher:In this task, you need to count the occurrences of the given word in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a couple of cats laying on top of a bed'. Count the occurrences of the word 'laying' in the given sentence.
Student: | 1 | 6 | NIv2 | task158_count_frequency_of_words | zs_opt | [
0.30751848220825195,
0.8233521580696106,
-0.5996299982070923,
-0.39098748564720154,
-0.156508669257164,
-0.42170384526252747,
-0.29914379119873047,
1.1103391647338867,
-0.5375282764434814,
0.14501747488975525,
-0.20168744027614594,
-0.35788285732269287,
-0.8650285005569458,
0.0676022619009... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example is below.
Q: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
A: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Rationale: The English sentence is correctly translated into Ja... | ７時になりました | 9 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
1.0802165269851685,
0.8017569184303284,
-0.034575097262859344,
-0.023567207157611847,
-0.5866327285766602,
-0.9050790071487427,
0.5820740461349487,
-0.5089930295944214,
0.6695756912231445,
-0.779134213924408,
-0.31055742502212524,
0.0002743223449215293,
-0.8190325498580933,
0.5617250204086... |
Detailed Instructions: 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.
Problem:Sentence 1: It was wh... | fiction | 8 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.9796541333198547,
0.42700016498565674,
-0.22038578987121582,
-0.3658101558685303,
-0.3773573637008667,
0.4158283472061157,
0.2004047930240631,
0.27325519919395447,
0.49194279313087463,
-0.6504045724868774,
-0.5497841835021973,
0.03033580631017685,
-0.6318599581718445,
-0.547886371612548... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
One example is below.
Q: Expressing happiness in interacting with women from Self Help Groups of various states, Prime Minister said that each member i... | യുവമനസ്സുകളില് നവീനാശയങ്ങള് പ്രോത്സാഹിപ്പിക്കണം; ഒറ്റത്തവണ ഉപയോഗിക്കുന്ന പ്ലാസ്റ്റിക് നിയന്ത്രിക്കുന്നതില്അധ്യാപകര് സജീവ പങ്കാളികളാകണം. | 9 | NIv2 | task1021_pib_translation_english_malayalam | fs_opt | [
0.04140617325901985,
-0.22255145013332367,
0.023229334503412247,
-1.2922606468200684,
0.025249894708395004,
-0.6958445310592651,
0.4839365780353546,
0.2361977994441986,
-0.6457844972610474,
0.21526390314102173,
-0.3374430537223816,
0.3842376172542572,
-0.6207271814346313,
-0.07467108219861... |
Definition: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the word... | What is the result of a dolphin keeping a high metabolism rate? | 2 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.8362060785293579,
0.5799704790115356,
0.1934851109981537,
-0.0071385763585567474,
-0.7596567273139954,
-0.4546769857406616,
0.7418877482414246,
0.2516556978225708,
0.2252805382013321,
-0.9445332288742065,
-1.396620750427246,
-0.1367790400981903,
-0.5225623846054077,
0.3832901418209076,
... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Example Input: Плаващи мрежи (вот)
Example Output: Drift nets (vote)
Example Input: Интегрирана морска политика за Европейския съюз (
Example Output: An Integrated Maritime Poli... | As rapporteur, I thank you for your support.
| 3 | NIv2 | task271_europarl_translation | fs_opt | [
-0.49536365270614624,
0.39334407448768616,
0.12879419326782227,
-0.41015875339508057,
0.0849631279706955,
-0.7922590970993042,
0.2921166718006134,
0.8224525451660156,
0.44766664505004883,
0.29704219102859497,
0.1389121115207672,
0.9443555474281311,
-0.19694286584854126,
-0.3205432891845703... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer ... | Article One of the United States Constitution | 0 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.18434596061706543,
0.034863490611314774,
-0.26350587606430054,
0.11577059328556061,
-0.5152845978736877,
-0.12382209300994873,
0.9351636171340942,
0.09778419137001038,
0.14118634164333344,
0.1736782193183899,
-0.2658440172672272,
-0.1827092468738556,
-0.2786700129508972,
0.1741422116756... |
Detailed Instructions: Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
See one example below:
Problem: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or mo... | c | 4 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.643397331237793,
0.3288213908672333,
-0.6370460987091064,
-0.16564053297042847,
-0.1935100555419922,
-0.6813900470733643,
0.5934456586837769,
1.0599209070205688,
-0.04276798292994499,
0.4172862768173218,
-0.04875008761882782,
0.08037055283784866,
-0.7958387136459351,
0.32267117500305176... |
TASK DEFINITION: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
PROBLEM: Sentence: 'a row of boats parked next to a shore on a lake'. How many words end with the letter 't' in the sentence.
SOLUTION: 1
PROBLEM: Sentence: 'a cat stan... | 1
| 8 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.0005795073229819536,
0.30086761713027954,
-0.4674559533596039,
-0.24159429967403412,
0.11648732423782349,
-0.052269477397203445,
0.23529383540153503,
0.12777502834796906,
0.2450888752937317,
-0.41207584738731384,
-0.3385502099990845,
0.5007747411727905,
-0.5833235383033752,
0.07832614332... |
Instructions: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Input: [-95, -17, 15, -78, 23]
Output: | [78, 32, 93, 101] | 3 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.8467015624046326,
0.2716507315635681,
-0.7667024731636047,
-0.20577004551887512,
-0.536879301071167,
0.0399218425154686,
1.1807544231414795,
0.5231953263282776,
0.2878209054470062,
-0.17040911316871643,
-0.27551472187042236,
-0.3213975131511688,
-0.3033903241157532,
0.07679528743028641,... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see t... | False | 2 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
-0.12917648255825043,
0.04595170170068741,
0.39891237020492554,
-0.21569006145000458,
0.06529031693935394,
-0.5271914005279541,
0.25466012954711914,
0.7459756731987,
0.15658438205718994,
0.14534509181976318,
-0.04373988136649132,
-0.00461809616535902,
-0.11693096160888672,
0.10915800929069... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['T', 'u'], ['T', 'C'], ['u', 'C']] | 9 | NIv2 | task208_combinations_of_list | fs_opt | [
0.19360096752643585,
0.144155815243721,
-0.6948973536491394,
0.26328644156455994,
0.7173229455947876,
-0.7314797043800354,
0.3598692715167999,
1.2679781913757324,
-0.4265165328979492,
0.21369148790836334,
-0.0485212467610836,
-0.07148513942956924,
0.04109402373433113,
-0.3879024386405945,
... |
Instructions: 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.
Input: Topic: We should prohibit flag burning<sep>Argument: We sh... | True | 3 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.2932581603527069,
0.950063943862915,
-0.014691228978335857,
-0.16830408573150635,
-0.6180332899093628,
-0.7566914558410645,
-0.025021186098456383,
0.13085071742534637,
-0.08154304325580597,
0.11989506334066391,
-0.17644673585891724,
-0.010892036370933056,
-0.18039487302303314,
0.09675010... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
و این اطلاعات در اروپا از شش ماه تا دو سال نگهداری می شه
| E esta informação é guardada na Europa durante seis meses até um máximo de dois anos. | 5 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.5721089243888855,
0.9457976818084717,
0.1488487869501114,
0.21604055166244507,
-0.8593560457229614,
0.10178926587104797,
0.14188751578330994,
0.3922325372695923,
0.7447507977485657,
-0.7026082873344421,
-0.6539818644523621,
0.8359549045562744,
-0.490913450717926,
0.544661283493042,
0.... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
--------
Question: Answer: heinrich himmler
Answer: who were other leaders of the nazi?
Question: Answer: cafu
Answer: who was the captain for brazil in world cup 2006?
Question: Answer: johnny depp
Answer: | who is johnny depps favourite artist?
| 7 | NIv2 | task443_com_qa_ans_question_generation | fs_opt | [
0.38271769881248474,
0.6427039504051208,
-0.08664019405841827,
-0.10019198805093765,
-0.9218717813491821,
-0.794437050819397,
1.4012880325317383,
-0.3446822166442871,
0.26611125469207764,
0.17538166046142578,
-0.8119719624519348,
0.11142991483211517,
-1.169567346572876,
-0.4058498740196228... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situatio... | polarity | 1 | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt | [
-1.1834667921066284,
0.39073869585990906,
0.6986204981803894,
0.2923167943954468,
0.10302074998617172,
0.3224450349807739,
0.07177071273326874,
0.493572473526001,
0.7320123314857483,
-0.08666612207889557,
-0.2925642728805542,
-0.47652173042297363,
-0.42664745450019836,
-0.02414978481829166... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Example input: Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (D) talented
Example output: C
Example e... | B | 3 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.518206000328064,
0.5437991619110107,
0.03193548694252968,
-0.6162623167037964,
-0.3713166117668152,
-1.260494589805603,
1.1189911365509033,
0.671176552772522,
0.11030030995607376,
-0.04903591424226761,
-0.14523309469223022,
-0.07787758111953735,
-0.1042063981294632,
-0.24332532286643982... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No | 4 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.005641033872961998,
-0.07045259326696396,
-0.3251418173313141,
0.06111063063144684,
-0.3551562428474426,
-0.3900330364704132,
0.6646237969398499,
0.48652756214141846,
-0.2772575616836548,
0.1166590079665184,
-0.5109359622001648,
0.1659003496170044,
-0.13974861800670624,
-0.13827167451381... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
He... | ordinal | 8 | NIv2 | task212_logic2text_classification | zs_opt | [
0.01797233521938324,
-0.4002738893032074,
-0.3625068664550781,
0.27592623233795166,
0.43551939725875854,
-0.37511762976646423,
0.7971060276031494,
0.63028883934021,
0.3493998646736145,
-0.009455460123717785,
-0.08988266438245773,
0.054488085210323334,
0.024457348510622978,
0.52221977710723... |
You will be given a definition of a task first, then some input of the task.
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, pol... | outdoor sport activity | 1 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.2620074152946472,
0.3230263292789459,
-0.5995985269546509,
-0.04092918336391449,
0.08519741892814636,
-0.12234003841876984,
-0.19761981070041656,
0.49272555112838745,
0.09264680743217468,
-0.06695764511823654,
-0.28685179352760315,
-0.11123189330101013,
-0.37881046533584595,
-0.539220929... |
Teacher:In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Teacher... | B | 6 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.20435678958892822,
-0.27839165925979614,
-0.29870089888572693,
-0.06891535222530365,
-0.42104384303092957,
0.04083005338907242,
0.8146491050720215,
0.29292237758636475,
-0.34823668003082275,
0.34223419427871704,
-0.20758500695228577,
-0.49174848198890686,
-0.20094448328018188,
-0.5326068... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | blue_container
| 1 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.06929770112037659,
-0.06553185731172562,
-0.5250130295753479,
0.009327392093837261,
-0.3786502480506897,
-0.363150417804718,
-0.3312556743621826,
0.6756511330604553,
0.22428590059280396,
-0.2624109387397766,
-0.463694304227829,
0.5032031536102295,
0.21334201097488403,
0.22106480598449707... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Q: Beginning: Hershel was a... | 2 | 4 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.8209991455078125,
0.5352095365524292,
0.5916196703910828,
-0.34187236428260803,
-0.5700620412826538,
-0.38928353786468506,
0.7930713891983032,
0.634406566619873,
0.25169384479522705,
-0.2640102207660675,
-0.44904011487960815,
0.1047133207321167,
-0.7257574796676636,
0.08574114739894867,... |
Detailed Instructions: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations s... | What does the man mean? (A) Everyone ate his fish. (B) No one ate his fish. (C) It was not enough for all of them. | 8 | NIv2 | task246_dream_question_generation | zs_opt | [
0.37415409088134766,
0.5527220964431763,
-0.7499986886978149,
-1.0055246353149414,
0.017850421369075775,
-0.4087662994861603,
0.726494312286377,
0.11891735345125198,
0.18843358755111694,
-0.4713309109210968,
-0.19566091895103455,
0.15320953726768494,
-0.16012856364250183,
0.144925951957702... |
Detailed Instructions: Given a sentence in the Sinhala language, translate it into the English language.
Q: ලෝකය පුරා සාමාන්ය ජනතාව වෙත වහල්භාවය පිළිබඳ ඉතිහාසය ඉදිරිපත් කිරීමේ දී වඩාත් ප්රබල මාධ්යය සිනමාව විය.
A: | Film has been the most influential medium in the presentation of the history of slavery to the general public around the world. | 9 | NIv2 | task601_flores_translation_sntoen | zs_opt | [
-0.5002155303955078,
0.695071280002594,
0.18419599533081055,
-0.2996092438697815,
-0.33319053053855896,
-0.7934550642967224,
-0.36736464500427246,
1.0975596904754639,
0.0682615116238594,
-0.013410454615950584,
0.5045466423034668,
-0.06027742847800255,
-0.34179604053497314,
0.13074024021625... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.21326735615730286,
0.38430410623550415,
-0.12443393468856812,
-0.16619914770126343,
0.22926411032676697,
-1.1298093795776367,
0.4493176341056824,
0.7748417258262634,
0.05780494585633278,
0.16074223816394806,
0.0217953622341156,
0.1227751076221466,
-0.16982485353946686,
0.1029330343008041... |
Detailed Instructions: Given a sentence in Vietnamese, generate a new Vietnamese 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 r... | Bạn sẽ không quan tâm đến một trong những người bạn muốn gửi email. | 9 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.481560617685318,
0.442169725894928,
-0.11269772052764893,
-0.6360270380973816,
-0.21885433793067932,
-1.074383020401001,
0.9234257936477661,
0.8624243140220642,
0.03372744098305702,
-0.10231571644544601,
-0.1969226896762848,
0.7402619123458862,
-0.5893349647521973,
0.0848274677991867,
... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: 合衆国大統領ジョージ・W・ブッシュは本日、ブッシュ大統領の残りの任期と新大統領の任期一年目に、イラクとアフガニスタンでの戦争継続に1620億ドルの資金を提供する法案に署名した。
[EX A]: Pinirmahan ngayon ng Presidente ng Estad... | Pinaparatangan ang mga mas mayayaman na bansa na humihingi ng napakaraming pribilehiyo kapalit ng pagbubukas ng kalakalan at pagbabawas sa tulong na salapi habang ang mga mahihirap na bansa ay hinahawakan ito para maging panubos sa pamamagitan ng pagharang sa kaunlaran.
| 6 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.04672301188111305,
-0.06411369144916534,
-0.39067041873931885,
-0.18336032330989838,
0.009820002131164074,
-0.7046811580657959,
1.0004334449768066,
0.9376843571662903,
-0.3437049388885498,
-0.31657731533050537,
-0.8118976950645447,
0.29249632358551025,
-0.5332592129707336,
0.23617929220... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
original question: Which constitutional amendment proposer proposed [Dist... | No | 0 | NIv2 | task404_grailqa_paraphrase_validation | zs_opt | [
-0.42854148149490356,
0.4525982737541199,
0.6709201335906982,
0.46066880226135254,
-0.6395905017852783,
-0.605100691318512,
1.121868371963501,
0.15501117706298828,
0.34418898820877075,
-0.4346761405467987,
0.1481805443763733,
-0.6295485496520996,
-1.1380527019500732,
0.3424672782421112,
... |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., ... | Sentence 1: Before the meeting, PersonX bowed politely while serving tea to PersonY, because _ is subordinate.
Sentence 2: Before the meeting, PersonX bowed politely while serving tea to PersonY, because _ is superior. | 3 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.3357463479042053,
0.46785038709640503,
0.039764657616615295,
0.02379271388053894,
0.383586049079895,
-0.1448529064655304,
0.5141780972480774,
0.7033275365829468,
-0.013859650120139122,
-0.47036245465278625,
-0.4002242982387543,
-0.4667832851409912,
-0.476917028427124,
-0.1645935326814651... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
(ضحك) و الأصعب من ذلك طلاء الحمض الموجود في االليمون.
A: | (Śmiech) Jeszcze trudniej sprawić, żeby przylegała do kwasu w grejpfrucie. | 7 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.5386419296264648,
1.168764591217041,
0.512202262878418,
-0.8522874116897583,
-0.38839516043663025,
0.186809703707695,
0.7603594660758972,
0.33767300844192505,
0.7507116794586182,
-0.4245508015155792,
-0.6330099105834961,
0.2988026440143585,
-0.7314981818199158,
0.6985955238342285,
0.1... |
Definition: 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 ha... | No | 2 | NIv2 | task1208_atomic_classification_xreason | zs_opt | [
0.26870524883270264,
0.12579220533370972,
0.13516956567764282,
0.06077892705798149,
-0.383476197719574,
-0.7633533477783203,
1.126604676246643,
-0.11133512854576111,
-0.37766793370246887,
-0.3485758900642395,
-0.607638418674469,
-0.36173582077026367,
-0.576830267906189,
0.4147351384162903,... |
Given the task definition and input, reply with output. Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not m... | blue_container | 5 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.235621839761734,
0.3770265281200409,
0.34867727756500244,
-0.39898139238357544,
-0.6951723098754883,
-0.4736629128456116,
0.47520920634269714,
0.8179388046264648,
0.5664617419242859,
-0.4347549080848694,
-0.3472864329814911,
0.7796748876571655,
0.09948068857192993,
-0.35023537278175354,... |
Teacher:In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? Solve this instance: Question: What are usually planted in rows with bare soil ... | Crops are usually planted in rows with bare soil in between the rows. | 6 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.48336905241012573,
0.3318910002708435,
-0.022359192371368408,
0.0038197096437215805,
-0.24509094655513763,
-1.3949377536773682,
0.2639816403388977,
1.054530143737793,
-0.6610575318336487,
-0.37327784299850464,
-0.43363648653030396,
0.12952809035778046,
-0.5958111882209778,
0.361355185508... |
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).
[Q]: アップル社の新しい３GiPhoneが、金曜、21カ国の顧客に紹介されたが、販売初日は、少ない入荷数と反応の悪い電話のアクティベーションに... | In an 11-page report, the committee said that the US should not detain anyone in a secret facility under its control.
| 5 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
-0.07234592735767365,
0.0022511729039251804,
0.41536226868629456,
-0.7546178102493286,
0.2596578598022461,
-0.2010575532913208,
-0.20414842665195465,
0.39999499917030334,
-0.42111286520957947,
0.2085859775543213,
-0.8778623342514038,
0.31866249442100525,
0.09987571835517883,
-0.22343255579... |
In this task, you are given a hateful post in English 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].
--------
Question: Post: Russia is building u... | Generic
| 7 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-0.5443419218063354,
0.3965734839439392,
0.6374219655990601,
0.01349678449332714,
-0.08353041112422943,
-0.3948040306568146,
0.5035377144813538,
1.0174384117126465,
0.11889410763978958,
0.47597628831863403,
-0.22812333703041077,
0.08364788442850113,
-0.3615446388721466,
0.08358703553676605... |
You will be given a definition of a task first, then some input of the task.
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... | anti-stereotype | 1 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.3195318877696991,
0.1557316929101944,
0.04299308359622955,
-0.22037841379642487,
-0.16394370794296265,
-0.19242487847805023,
0.4699738025665283,
1.018212080001831,
0.17123332619667053,
-0.13137777149677277,
-0.3151705861091614,
-0.24139642715454102,
-0.6455894708633423,
-0.3942614495754... |
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