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.
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is uniq... | What do almost all cells readily stain with? | 1 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.338206946849823,
-0.10308308154344559,
-0.8524293303489685,
0.16404858231544495,
0.16274303197860718,
-0.6591287851333618,
0.06135290116071701,
0.963001012802124,
0.1487126350402832,
0.8286149501800537,
-0.7736607789993286,
0.09910371899604797,
-0.3930642902851105,
0.11759719252586365,
... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
One example is below.
Q: Sentence1: My dog was bored. Sentence2: I was working all day so I couldn't spend time with him. Sentence3: When I finished work I decided to ... | Rowan, Djared | 9 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.36327266693115234,
-0.172932431101799,
-0.28855806589126587,
-0.38232237100601196,
0.11241965740919113,
-0.37500059604644775,
0.3803509473800659,
0.5605291128158569,
0.13314074277877808,
-0.40245407819747925,
-0.4483878016471863,
-0.39702028036117554,
-0.6168276071548462,
0.0772943124175... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'Paper presented at a symposium at the International Conference for Infant Studies , Chicago , IL.', Argument/Subject 1: 'paper', Argument/Sub... | smile at
| 0 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.0036020963452756405,
0.18751883506774902,
0.00104057346470654,
-0.29624831676483154,
-0.8143078684806824,
-0.11230487376451492,
0.0922246128320694,
0.6326048374176025,
-0.1368686556816101,
0.036771662533283234,
-0.4507211744785309,
0.8280571699142456,
-0.5567159056663513,
0.445659786462... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | He doesn't want(s) her to get lost >Motivates> He tells her to follow his car | 4 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.48586344718933105,
-0.07255427539348602,
0.5514863729476929,
-0.007366856560111046,
-0.23306003212928772,
-0.734205424785614,
0.7096779346466064,
0.3608582317829132,
-0.7780203223228455,
-0.23748193681240082,
-0.7330112457275391,
-0.3314723074436188,
-0.2890227437019348,
0.0442875139415... |
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"
Review: Not good if you plan on getting your Fitbit wet. I wear my Fitbit during aqua aerobics. It just filled with water and c... | True | 0 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.5227450132369995,
-0.35378551483154297,
-0.4121664762496948,
-0.13821977376937866,
-0.04065120220184326,
-1.0381309986114502,
0.26127633452415466,
0.09210880100727081,
0.3133271336555481,
0.5630421042442322,
-0.6322600245475769,
0.12398116290569305,
0.049916476011276245,
-0.517602562904... |
Given the task definition and input, reply with output. In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
A teen spins holding a disc in his right h... | A | 5 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.0007158718071877956,
1.0641882419586182,
-0.8155020475387573,
-0.68104088306427,
-0.4493597149848938,
0.5501601696014404,
-0.4056874215602875,
0.818192183971405,
1.0714852809906006,
-0.058240197598934174,
-0.43602225184440613,
0.870798647403717,
0.1553790122270584,
-0.6149473190307617,
... |
Detailed Instructions: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence... | برنامه همکار شورای CFO در سال ۱۹۹۸ آغاز شد. | 9 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-0.7604044675827026,
0.3134547472000122,
-0.25850385427474976,
-0.002640045713633299,
-0.5431299209594727,
-0.32307079434394836,
0.39582589268684387,
0.07336066663265228,
0.16193825006484985,
-0.3370319604873657,
-0.627467155456543,
0.36860039830207825,
-0.3945251703262329,
0.2564372122287... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Q: Several hitherto unknown (E)-but-2-enyl nucleoside phosphonoamidate analogs (ANPs) were prepared... | Highly convergent synthesis and antiviral activity of (E)-but-2-enyl nucleoside phosphonoamidates | 9 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.23250621557235718,
-0.20682378113269806,
-0.3372578024864197,
0.1458488255739212,
-0.22175930440425873,
-0.508995771408081,
0.3937506377696991,
0.8212708234786987,
0.18689866364002228,
0.5201208591461182,
-0.6514400243759155,
0.6549178957939148,
-1.3206202983856201,
-0.11113911867141724,... |
Q: In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
I love all kinds of music, what kind of music do you love? Ballads?
A: | i love all kinds of music, what kind of music do you love? | 7 | NIv2 | task1670_md_gender_bias_text_modification | zs_opt | [
-1.3176205158233643,
1.1802083253860474,
-0.594308078289032,
0.19094595313072205,
-0.042030446231365204,
0.10564004629850388,
1.1508753299713135,
-0.2798595726490021,
0.7647513151168823,
-0.705618143081665,
-0.6125351190567017,
-0.34209930896759033,
-0.7634578943252563,
-0.1401926726102829... |
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: Consider Input: मैं आयन जी को धन्यवाद देता हू कि आपने मन की बात के सभी साथियों का ध्यान इस ओर आकर्षित किया।
Output: அவர் மனதின் குரலின் அனைத்து நண்பர்... | Output: இது உலகின் பல்வேறு நாடுகளில் சோதித்து பார்க்கப்பட்டது.
| 2 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
-0.38028305768966675,
0.47356683015823364,
0.14795994758605957,
0.27043604850769043,
0.03412759304046631,
-0.8707590103149414,
0.5025988221168518,
-0.2453639805316925,
0.07925719767808914,
-0.16360580921173096,
-0.8193709254264832,
0.29374992847442627,
-0.5659472346305847,
-0.1000195145606... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without an... | What type of role that Islamism seeks makes it not a controversial concept? | 0 | NIv2 | task1622_disfl_qa_text_modication | fs_opt | [
0.3970508575439453,
0.3250292241573334,
0.26537275314331055,
-0.3569924533367157,
0.09849640727043152,
-0.0017705149948596954,
0.5278170704841614,
0.35954558849334717,
0.16439053416252136,
0.2891268730163574,
-0.4783577620983124,
-0.6607857346534729,
-0.3411150276660919,
0.3686603903770447... |
Part 1. Definition
In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change... | Linda Goodman's biography of the Spartan general Persephone conveys a vivid sense of the difficulties she faced in her childhood . | 7 | NIv2 | task275_enhanced_wsc_paraphrase_generation | fs_opt | [
-0.2722412347793579,
0.6797171831130981,
-0.44019636511802673,
-0.6200703382492065,
-0.002480322029441595,
-0.6616054773330688,
1.0513911247253418,
0.6025509834289551,
0.2947819232940674,
0.009503647685050964,
-0.5553674697875977,
0.0593678243458271,
-1.098108172416687,
0.02543316595256328... |
You will be given a definition of a task first, then some input of the task.
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns in... | What does a Henry James character never do at an election? | 1 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.7412292957305908,
0.30878394842147827,
-0.33488091826438904,
0.28450459241867065,
0.27138325572013855,
-0.4473867118358612,
0.9064038395881653,
0.5241591334342957,
-0.018901241943240166,
-0.08970165997743607,
-0.38678473234176636,
0.44357025623321533,
-0.45292431116104126,
-0.07445929944... |
Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
In... | 2833, o, l, P, 181, 725, 7693 | 3 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.16832378506660461,
0.3218015432357788,
-0.9430092573165894,
-0.5801111459732056,
-0.13522513210773468,
-0.5783109664916992,
0.7468510866165161,
-0.35490378737449646,
-0.3456465005874634,
0.3814561069011688,
-1.1416460275650024,
0.37543126940727234,
0.04572073370218277,
-0.40746334195137... |
Given the task definition and input, reply with output. In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a girl in black sweater holding a frosted donut'. Remove all words of ... | girl in black sweater holding frosted donut | 5 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.06818792968988419,
0.4422246813774109,
-0.08807716518640518,
-0.726476788520813,
-0.11641204357147217,
-0.36008772253990173,
-0.018433351069688797,
0.36558616161346436,
0.03312591463327408,
-0.3063797950744629,
-0.7186396718025208,
-0.17968067526817322,
-0.6251304149627686,
-0.3463658094... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.10527380555868149,
0.38352566957473755,
0.5050018429756165,
-0.08979134261608124,
-0.48124176263809204,
-0.7316871881484985,
1.2278239727020264,
0.3067112863063812,
-0.36219680309295654,
-0.3905828893184662,
-0.5818307995796204,
-0.22858791053295135,
-1.0034775733947754,
0.38768288493156... |
TASK DEFINITION: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
P... | 148
| 8 | NIv2 | task1446_farthest_integers | fs_opt | [
0.10700961947441101,
0.23066189885139465,
0.042505212128162384,
-0.2425323873758316,
-0.16829600930213928,
-0.2627103328704834,
1.1171735525131226,
-0.1630939394235611,
0.5127524137496948,
-0.3119030296802521,
-0.13682852685451508,
-0.175226092338562,
-0.6536479592323303,
-0.11282249540090... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
One example is below.
Q: Review: My cat won't touch these. M... | False | 9 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5409345030784607,
0.06465491652488708,
-0.3217858672142029,
-0.4706118702888489,
-0.1493121087551117,
-0.9182028770446777,
0.2690674960613251,
0.6398471593856812,
-0.6118075251579285,
0.30215945839881897,
-0.008485471829771996,
0.2501183748245239,
-0.6755815744400024,
-0.235047966241836... |
In this task, you are given a question. You have to answer the question based on your information.
--------
Question: the World's Most Dangerous Party featured this American singer and founder of the Frank Sinatra School of the Arts who was born in what year
Answer: 1926
Question: Who is the British novelist and fig... | The V-2
| 7 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.17655125260353088,
0.9823024868965149,
1.143834114074707,
-0.126534104347229,
-0.2598365247249603,
0.07644492387771606,
1.0870442390441895,
0.16962403059005737,
-0.18469199538230896,
0.16865727305412292,
-0.07508811354637146,
0.29513275623321533,
-1.2678816318511963,
-0.8922619819641113... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | spouse
| 6 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
-0.030531905591487885,
0.42798981070518494,
0.0326298326253891,
-0.4519667625427246,
0.4511514902114868,
0.04589153081178665,
0.2867319583892822,
0.8426476716995239,
0.30226731300354004,
-0.04349975660443306,
-0.08063270151615143,
0.03617009520530701,
-1.024881362915039,
0.1393616497516632... |
Given the task definition and input, reply with output. You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". Ther... | No. | 5 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.8789170980453491,
0.7788269519805908,
0.48261088132858276,
0.493821918964386,
-0.4653241038322449,
-1.1159486770629883,
0.5854857563972473,
0.817430853843689,
0.19129444658756256,
-0.4312271177768707,
-0.3500201106071472,
0.07495410740375519,
-0.226246178150177,
-0.18883928656578064,
... |
Teacher:In this task, you are given a list of integers you need to calculate and return the range of the integers which is the difference between maximum and minimum element in the list.
Teacher: Now, understand the problem? Solve this instance: [384, 200, 268, 33, 272, 131, 301, 144, 276, 432, 46, 499, 133, 377, 177, ... | 466 | 6 | NIv2 | task1315_find_range_array | zs_opt | [
-0.812458872795105,
0.16864565014839172,
0.0036087925545871258,
-0.5434672236442566,
-0.25747060775756836,
-0.7591968774795532,
0.5893823504447937,
-0.30000507831573486,
-0.5105173587799072,
-0.0355556420981884,
-0.3110462725162506,
0.3214123845100403,
-0.26733407378196716,
-0.734148621559... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['Q', 'm', 'z', 'h', '5837', '8917', '2689', 'B', 'p', 'x', '63', 'e', '919'... | 20 | 0 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.027252154424786568,
0.16468270123004913,
0.160734623670578,
-0.5621639490127563,
0.12496732175350189,
-0.32627829909324646,
0.4228895306587219,
-0.676703155040741,
-0.5183210372924805,
0.24398711323738098,
-0.9345519542694092,
0.20140716433525085,
0.24845072627067566,
-0.1976810395717620... |
You will be given a definition of a task first, then some input of the task.
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implie... | also social | 1 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.15695133805274963,
-0.131598562002182,
-0.15603145956993103,
-0.13377612829208374,
-0.3246901035308838,
-0.2805929481983185,
0.9937765598297119,
0.32809844613075256,
0.5266791582107544,
-0.3379465937614441,
0.2223103642463684,
-0.30620384216308594,
-0.2772149443626404,
0.219040647149086,... |
Detailed Instructions: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop ... | Soil | 8 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.16795222461223602,
0.884315550327301,
0.16820800304412842,
-0.3894757926464081,
-0.4201270043849945,
-1.0214331150054932,
1.0424692630767822,
0.6238195300102234,
-0.5554897785186768,
-0.8338780403137207,
-0.6919186115264893,
-0.2677742838859558,
-1.2856550216674805,
0.39769458770751953,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Q: Una delle ragioni maggiori è che pensiamo che il successo sia una via a senso unico.
A: | その主な理由は、成功を一方通行のものだと考えてしまうところにあります | 9 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.7199203968048096,
0.220225989818573,
-0.027683742344379425,
-0.6228744387626648,
0.06573289632797241,
0.020945850759744644,
-0.44061243534088135,
0.6679338216781616,
0.06350889801979065,
-0.21967506408691406,
-0.07144303619861603,
-0.19477877020835876,
-0.10634813457727432,
0.4979153573... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: E a dado momento, tive de fazer "" A História Toda "" (Literalmente: "" As Nove Jardas Completas "") Este rolo recortado tem mesmo nove jardas de comprimento (8,22m).
Output: | وذات مرة قمت بعمل "" 9 ياردات كاملة "" وهو عمل طوله تسع ياردات بالفعل | 2 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
0.019834624603390694,
0.4545627534389496,
-0.0767822340130806,
-0.0978451818227768,
-0.4181097745895386,
0.25447922945022583,
0.4316926896572113,
0.647187352180481,
-0.07550652325153351,
-0.0373690202832222,
-0.8488314747810364,
-0.35462215542793274,
-1.1163642406463623,
0.2682927250862121... |
Q: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: In December, Steven Monjeza, 26, and Tiwonge Chimbalanga, 20, were arrested fo... | No | 7 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.44239094853401184,
0.31464314460754395,
0.3627447485923767,
0.6020649671554565,
-0.23309902846813202,
-0.8292250037193298,
0.1666550636291504,
-0.011530382558703423,
-0.0856005847454071,
-0.3079560399055481,
-0.14330609142780304,
0.7048133015632629,
-0.7441361546516418,
-0.0895385369658... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
These are some of the stories of communities which We relate unto thee: of them some are standing, and some have been mown down (... | این از گزارشهای شهرها [و اهل آنها] است که آن را بر تو حکایت میکنیم، برخی از آن [شهر] ها هنوز برجایند، و برخی درو شده بر باد رفتهاند! | 1 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.5704315900802612,
0.7670505046844482,
-0.05816430598497391,
-0.13684670627117157,
0.07883626222610474,
-0.5475247502326965,
0.894038736820221,
0.6842478513717651,
-0.15543073415756226,
0.4802584648132324,
-0.36315739154815674,
0.6932857036590576,
-0.5787603855133057,
0.1942548155784607,... |
Detailed Instructions: You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be cl... | 0 | 8 | NIv2 | task1535_daily_dialog_uniqueness_classification | zs_opt | [
-0.17802084982395172,
0.30615484714508057,
-0.0033675190061330795,
0.39801454544067383,
-0.42467445135116577,
-0.43803656101226807,
0.6114490628242493,
-0.054393745958805084,
0.14715567231178284,
-0.47706717252731323,
-0.43332231044769287,
-0.8728753328323364,
-0.5161360502243042,
0.033488... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Example Input: Ma i francesi non hanno comunque specificato ... | 在MINUSTAH以及其他联合国机构的努力下，安全状况有了很大改观，这要归功于司法制度的强化和国民警察部队效率的提高。与此同时，小学入学率也有了显著增长，从1993年的47%提高到今天的90%。
| 3 | NIv2 | task1376_newscomm_translation | fs_opt | [
0.2668355405330658,
0.30613258481025696,
-0.5577853918075562,
0.2200237363576889,
-0.044901952147483826,
-0.12511888146400452,
0.24154414236545563,
1.4102773666381836,
-0.4981800317764282,
-0.06551380455493927,
-1.0246113538742065,
0.2057398557662964,
-0.6368698477745056,
-0.15495760738849... |
Q: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, bab... | lawn and garden | 7 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.10330237448215485,
0.054557204246520996,
-0.35256898403167725,
0.101878821849823,
0.3972618579864502,
0.2328229546546936,
-0.18665137887001038,
0.309558629989624,
-0.15850242972373962,
0.23768696188926697,
0.14567890763282776,
0.6479946970939636,
-0.22116458415985107,
-0.473390400409698... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Input: Consider Input: Ora fermiamoci a pensarci per un minuto.
Output: الآن دعونا نقف و نفكر لدقيقة.
Input: Consider Input: (Risate) CA: E quindi, tra 10 anni, cosa ti immagini di fare?
Output: (ضحك) كريس: وعلى ذلك ، ف... | Output: نائب الرئيس آل غور سوف يتحدث عن كيف يمكننا أن نوجه مسار واحوال المناخ الى اقل احتمالية ممكنة لكارثة.
| 2 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.7979373931884766,
0.7308647632598877,
0.043210238218307495,
0.16118790209293365,
-0.3255467712879181,
-0.9940460920333862,
0.0776318907737732,
0.7011147737503052,
0.16138160228729248,
0.31226179003715515,
-0.5604901313781738,
0.3795642852783203,
-0.23665480315685272,
0.01377110183238983... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
--------
Question: Further, low acidity will cause the future wine to be unbalanced with excess alcohol and lack of liveliness.
Answer: තවද, අඩු ආම්ලිකතාවය අනාගත වයින් වල වැඩිපුර මද්යසාර සහ සජීවී බව අඩුවීම යන... | කෙසේ වෙතත්, විනිශ්චයකරු හෝ විනිශ්චයකරුගේ සහකාරු , ක්රීඩකයාගේ ඉල්ලීම මත උසාවියට කැඳවිය හැකි අතර, ක්රීඩකයකුගේ ඇමතුම විනිශ්චයකරු හට හෝ සහායක හට වෙනස් කළ හැකිය.
| 7 | NIv2 | task604_flores_translation_entosn | fs_opt | [
-0.38496607542037964,
0.3743690848350525,
-0.08554311096668243,
0.2707388401031494,
-0.3439066410064697,
-0.99149489402771,
-0.1525193750858307,
0.40381431579589844,
-0.0043054320849478245,
-0.24643877148628235,
0.3974216878414154,
0.09548333287239075,
-0.5800086259841919,
0.38862287998199... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
One example: Jag förklarar debatten avslutad.
Solution is... | Swedish | 6 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.16816122829914093,
0.707602858543396,
0.7633736729621887,
-0.4347418546676636,
-0.12911655008792877,
-0.25104764103889465,
0.7403121590614319,
0.10290932655334473,
0.6791874170303345,
-0.41189515590667725,
0.03912101313471794,
0.4582193195819855,
-0.1530114710330963,
-0.0715870112180709... |
Given the task definition, example input & output, solve the new input case.
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... | Yes | 1 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.6155356168746948,
0.037427715957164764,
-0.28020966053009033,
0.7789197564125061,
0.16478142142295837,
-0.21307095885276794,
0.26097002625465393,
0.7399243712425232,
-0.46002423763275146,
-0.343528151512146,
-0.3851078152656555,
-0.05528082698583603,
0.24464866518974304,
-0.6292564868927... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
22679 | Yes | 0 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.20229339599609375,
0.7180936336517334,
0.25156745314598083,
-0.12088753283023834,
-0.5586711168289185,
-0.3057946264743805,
0.34901395440101624,
0.7098149657249451,
-0.17643263936042786,
0.2019113004207611,
-1.1012603044509888,
-0.15988652408123016,
-0.5810387134552002,
-0.4115680158138... |
Teacher: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transpor... | Artist | 2 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | fs_opt | [
-0.46435678005218506,
-0.3928202688694,
0.14164847135543823,
-0.3014948070049286,
0.5059337019920349,
-0.3252977430820465,
-1.0684878826141357,
0.392596036195755,
0.24468879401683807,
-0.4681144654750824,
-0.7816864252090454,
0.3147214353084564,
0.22748231887817383,
-0.053526341915130615,
... |
Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Input: Text: i'm still shuddering. it's 12:45 in the morning, several days from the incide... | just fuck my life up fam | 3 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.4861147105693817,
0.5904064774513245,
-0.2296338975429535,
-0.3759280741214752,
0.01387927308678627,
-0.14443722367286682,
0.8210208415985107,
0.9722123742103577,
0.0021154177375137806,
0.02832929790019989,
-0.2585013806819916,
0.49099475145339966,
-0.05837509408593178,
-0.27370971441268... |
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | Art, your wish is my command. You will be a blue skinned alien. | 4 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.3133689761161804,
0.6683067083358765,
0.6003466248512268,
-0.2797025740146637,
0.08419879525899887,
-0.4447585940361023,
0.10415085405111313,
0.8282214999198914,
0.07665503770112991,
-0.3123473525047302,
-0.5683926343917847,
-0.09608109295368195,
-0.886634111404419,
0.6245455741882324,
... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
EPA Regulatory Relief Act of 2011 - Provides that the following rules shall have no force or effect and s... | To amend title 38, United States Code, to enhance the Servicemembers' Group Life Insurance program, and for other purposes.
| 0 | NIv2 | task1659_title_generation | fs_opt | [
0.7155300974845886,
0.27674052119255066,
-0.22663436830043793,
-0.22885088622570038,
0.6260671615600586,
-1.1154285669326782,
0.18057961761951447,
1.210564374923706,
-0.2874116897583008,
0.481143057346344,
0.11082448810338974,
0.5387492179870605,
-0.5118529200553894,
-0.05377575382590294,
... |
A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: ਕਿਸਾਨ ਆਪਣਾ ਮਾਸਿਕ ਯੋਗਦਾਨ ਪੀਐੱਮ-ਕਿਸਾਨ ਦੀਆਂ ਕਿਸਤਾਂ ਨਾਲ ਜਾਂ ਸੀਐੱਸਸੀ ਰਾਹੀਂ ਕਰ ਸਕਦੇ ਹਨ।
Output: “ମହାକାଶ କାର୍ଯ୍ୟକ୍ରମ କ୍ଷେତ୍ରରେ ଶ୍ରେଷ୍ଠ କାର୍... | Output: ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଥିଲେ ଯେ, ରାଜନେତାମାନେ ହିଁ ସୌଖୀନ ଆବାସ ନିର୍ମାଣ କରିପାରିବେ ବୋଲି ଧାରଣା ପୂର୍ବରୁ ରହିଥିଲା । ଏବେ ଏହି ଧାରଣା ବଦଳି ଯାଇଛି ଏବଂ ଗରିବ ଲୋକମାନେ ସେମାନଙ୍କ ନିଜସ୍ୱ ଆବାସ ପାଇପାରୁଛନ୍ତି ।
| 2 | NIv2 | task1040_pib_translation_punjabi_oriya | fs_opt | [
-1.2308616638183594,
0.46667274832725525,
-0.31053251028060913,
0.316450834274292,
-0.48210418224334717,
-0.21276208758354187,
-0.42502158880233765,
1.1493756771087646,
0.263083815574646,
0.41417762637138367,
-0.7830154299736023,
-0.3582698702812195,
-0.2270902693271637,
-0.14964559674263,... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
[Q]: Background: Prevention of infection with airborne pathogens and exposure to airborne particulates and aerosols (envi... | Success in the South Pacific: a case study of successful diffusion of an infection prevention and control program
| 5 | NIv2 | task1161_coda19_title_generation | fs_opt | [
1.2631537914276123,
0.5048704147338867,
-0.3647382855415344,
-0.6838054656982422,
0.2808148264884949,
-0.3736489713191986,
0.5422853231430054,
0.5498294830322266,
-0.10552432388067245,
0.2893534302711487,
-0.1965746283531189,
0.9363559484481812,
0.18149927258491516,
0.15162259340286255,
... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: Who played Frankie in the 1991 film `Frankie and Johnny`?
A: | michelle pfeiffer | 4 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.08301449567079544,
1.15586256980896,
-0.1240357831120491,
-0.4613892436027527,
-0.6136637926101685,
0.29171857237815857,
0.7300593256950378,
0.1357734054327011,
0.3085625171661377,
-0.3080601096153259,
-0.5856356024742126,
-0.11330752819776535,
-0.7539934515953064,
0.5245281457901001,
... |
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.
Here are the defications ... | unique
| 6 | NIv2 | task212_logic2text_classification | fs_opt | [
0.041296496987342834,
-0.28110265731811523,
-0.35387420654296875,
0.26400548219680786,
0.43048837780952454,
-0.4757288694381714,
0.7511383891105652,
0.705092191696167,
0.3240278363227844,
0.06647682189941406,
-0.09023064374923706,
0.09073382616043091,
0.003993753809481859,
0.56384575366973... |
instruction:
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
i have been looking for this candy for over a year..... I used to enjoy this as a young kid and now its back!! all there is to say is YUMMY... | Positive
| 9 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.3920559883117676,
0.07000739872455597,
0.5291449427604675,
-0.6084665060043335,
-0.0902685597538948,
0.1732642501592636,
0.8660002946853638,
0.34919002652168274,
0.037577126175165176,
0.3660178482532501,
-0.0559040792286396,
0.049249570816755295,
-0.9219179749488831,
0.32597512006759644... |
instruction:
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 fictional ones (e.g., a group or organization o... | Event.
| 9 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.7804989814758301,
-0.04905332997441292,
-0.3616560697555542,
0.30683982372283936,
-0.47163641452789307,
-1.0738303661346436,
1.0714402198791504,
0.8523737192153931,
-0.44982674717903137,
-0.34592366218566895,
-0.6569886803627014,
0.5173588395118713,
-0.22972184419631958,
-0.1670878231525... |
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 Galician. Your job is to translate the Galician sentence into Arabic.
É basicamente un caldeiro que rota.
Solution: ويوجد أساسا مرجل دوار.
Why? The Galician sentence is c... | وبصراحة ، أعتقد أن هذا ما جعلني أفضل مضيفة. | 0 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.3946058750152588,
0.06483612954616547,
0.004752344451844692,
-0.5196236371994019,
0.041079167276620865,
0.4222099184989929,
0.8334310054779053,
-0.10145533084869385,
-0.14905382692813873,
-0.25264403223991394,
-0.20215058326721191,
-0.5700438618659973,
-0.8039042949676514,
0.62001168727... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on i... | neutral | 0 | NIv2 | task634_allegro_reviews_classification | fs_opt | [
-0.6546090245246887,
0.3895774483680725,
-0.20644380152225494,
-0.10627790540456772,
0.4084920585155487,
0.0797596201300621,
1.391535758972168,
0.937936544418335,
-0.1307482123374939,
0.5445967316627502,
-0.2702363431453705,
0.4432305097579956,
-0.5165582299232483,
0.2133934199810028,
0.... |
Detailed Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid res... | Yes. | 9 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.6859109401702881,
0.2501804828643799,
0.42378664016723633,
0.44156527519226074,
-0.26674649119377136,
-1.1467208862304688,
-0.034625738859176636,
1.0780271291732788,
0.23058830201625824,
-0.12041372060775757,
0.1964552402496338,
-0.037824030965566635,
-0.5172100067138672,
-0.13642719388... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Input: Consider Input: Psychiatrists say one out of _ people are mentally ill.
Output: four
Input: Consider Input: Most men die within _ years.
Output: three
Input: Consider Input: Cytochrome oxidase ... | Output: two
| 2 | NIv2 | task672_nummersense | fs_opt | [
0.6605076193809509,
0.7201544046401978,
-0.6976122856140137,
-0.8252688050270081,
-0.1479959785938263,
-0.3182448744773865,
0.8236731290817261,
-0.26796257495880127,
0.7357763051986694,
-0.18981263041496277,
-0.28869515657424927,
-0.17324161529541016,
0.17563024163246155,
0.155206695199012... |
Teacher:In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be re... | [389, 619, 97, 293, 503, 193, 277, 601] | 6 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.7411789298057556,
0.39522287249565125,
0.07272976636886597,
-0.8980621099472046,
-0.11210986971855164,
-0.1352178156375885,
0.6638675928115845,
0.7077282667160034,
0.07639439404010773,
0.1651095151901245,
-0.9811408519744873,
-0.5965230464935303,
-0.3490470349788666,
-0.630408763885498,... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
question:
Ho un posto, uno spazio, in mente quando scrivo?
answer:
Tenho um lugar, um sítio, em mente quando escrevo?
question:
Entra a far parte dell'esercito. L'esercito gli dà un fucile.
answer:
Ele entr... | Mas ouvi-a repetir o nome dela, durante alguns minutos.
| 9 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.0752289742231369,
0.5085058212280273,
-0.19849923253059387,
-0.7026113867759705,
0.0642414465546608,
-1.6190019845962524,
0.3648034334182739,
0.3248608112335205,
0.9672777056694031,
-0.5023831129074097,
-0.4953042268753052,
0.12848353385925293,
-0.7201348543167114,
0.13350129127502441,
... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
One example: A herd of sheep standing together grazing ... | Gujarati | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-1.2295223474502563,
0.34922513365745544,
0.8084428310394287,
-0.07582889497280121,
-0.02665545418858528,
-0.7036750316619873,
-0.06462510675191879,
0.21058544516563416,
-0.2602768540382385,
-0.5643496513366699,
-0.700457751750946,
-0.05408072471618652,
-0.07228892296552658,
-0.31447887420... |
You are given a sentence and your task is to generate another sentence that supports the given input.
--------
Question: Cell membrane functions as a barrier to the movement of substances between the intracellular and extracellular spaces 3.
Answer: A cell's membrane provides a barrier to keep extracellular materials ... | There are two types of surface waves.
| 7 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
0.253377228975296,
0.9177215099334717,
-0.6566522121429443,
-0.15150967240333557,
0.08944904804229736,
-0.4544382095336914,
-0.16925153136253357,
0.6356145143508911,
-0.42154741287231445,
0.018523426726460457,
-0.24377939105033875,
0.39530354738235474,
-0.6316933631896973,
0.10241928696632... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: Musimy przejść od mentalności opieki zdrowotnej typu mainframe do osobistego modelu opieki zdrowotnej.
A: | We have to shift from this mainframe mentality of healthcare to a personal model of healthcare. | 9 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
0.06469590216875076,
0.11844132840633392,
0.1831316500902176,
-0.9058141112327576,
0.07428780198097229,
-2.0239853858947754,
0.1975824534893036,
0.22260871529579163,
0.3276953101158142,
0.24499689042568207,
0.6589763164520264,
-0.16765201091766357,
0.16487932205200195,
0.56111741065979,
... |
Teacher: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instanc... | False | 2 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.286222368478775,
0.6637949347496033,
-0.2056841254234314,
0.3591632843017578,
-0.20836694538593292,
-1.204795241355896,
0.7172049880027771,
0.607021689414978,
0.059133756905794144,
-0.13901986181735992,
-0.4637545347213745,
0.036564141511917114,
-0.37202879786491394,
-0.2368713915348053,... |
Detailed Instructions: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
See one example below:
Problem: Do you want to see t... | X wants to know what sorts of books Y likes to read. | 4 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.014240549877285957,
0.5619068145751953,
-0.43258410692214966,
0.34052574634552,
0.2652508020401001,
-0.020519070327281952,
0.32933956384658813,
0.6344819068908691,
0.1517552137374878,
-0.17591525614261627,
-0.3430202603340149,
0.02473030425608158,
-1.0617460012435913,
0.4351196885108948... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Problem:He wanted her skills.
Solution: | Plural | 8 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.0830755233764648,
0.9366575479507446,
0.40381601452827454,
-0.08654916286468506,
-0.049027346074581146,
-0.23784759640693665,
0.7833027839660645,
-0.16424989700317383,
-0.12719202041625977,
-0.3990631699562073,
-0.39937812089920044,
0.008374767377972603,
-0.5311703681945801,
-0.42259690... |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: Without "mental anachronism", thi... | no | 9 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.6794145703315735,
0.21531802415847778,
0.08792690932750702,
0.6501625776290894,
-0.26133155822753906,
-0.6779301166534424,
1.2195684909820557,
0.43259841203689575,
0.6412421464920044,
-0.4283626675605774,
-0.37182295322418213,
0.057838570326566696,
-0.5784532427787781,
-0.18635083734989... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Fred leaves late >Causes> Fred feel(s) worried | 4 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.5511550903320312,
0.6015838980674744,
-0.07476308941841125,
-0.20247919857501984,
-0.11472977697849274,
-0.7821588516235352,
0.927098274230957,
0.7502761483192444,
-0.33642667531967163,
-0.435232013463974,
-0.7557145357131958,
0.46371832489967346,
-1.0211126804351807,
-0.215751081705093... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Example: Qui c'è la medusa mortale con le ali ad X.
Example solution: Aquí esta la medusa ala-x de la muerte.
Example explanation: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.... | Solution: Pero, no, el tipo no estaba reduciendo la velocidad. | 5 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.19692686200141907,
0.6223511099815369,
-0.7850548624992371,
0.20170298218727112,
-0.8041437864303589,
-1.0924237966537476,
0.5866969227790833,
0.9859778881072998,
-0.07047702372074127,
-0.34154951572418213,
-0.31950104236602783,
-0.3136693239212036,
-0.3557744026184082,
0.87144601345062... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) snapping at my parents cause their won't get off my back
(B) holding a grudge against my in-laws ... | B | 0 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.18635855615139008,
0.8751753568649292,
0.2501938045024872,
-0.5833024978637695,
-0.6994761228561401,
0.014409905299544334,
0.2418392151594162,
0.8568660616874695,
-0.16882233321666718,
0.025668848305940628,
-0.31715965270996094,
0.24086417257785797,
-0.23503051698207855,
-0.881486177444... |
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Topic: US electoral college
Argument: Minority interests must be protected against majority support for popular vote. | in favor | 0 | NIv2 | task209_stancedetection_classification | zs_opt | [
-0.28614336252212524,
0.030225157737731934,
0.586738109588623,
-0.013163961470127106,
-0.2738499641418457,
-1.4831448793411255,
0.07051266729831696,
0.2790464758872986,
0.21067240834236145,
0.2855916917324066,
0.23736387491226196,
-0.35003405809402466,
-0.2001887410879135,
-0.5576435327529... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: लाखों लोगों ने बढ़-चढ़ करके हिस्सा लिया। टेक्नोलॉजी को समझने का प्रयास किया, स्वीकार करने का प्रयास किया।
Output: | ଆମ୍ବେଦକରଙ୍କ ସ୍ୱପ୍ନ - ଏକ ଶକ୍ତିଶାଳୀ, ସମୃଦ୍ଧ ଓ ସର୍ବ ସମାବେଶୀ ଭାରତ ଗଠନ ଦିଗରେ ଆମର ଅନବରତ ପ୍ରୟାସ ଅବ୍ୟାହତ ରହିବ । ’’ | 3 | NIv2 | task985_pib_translation_hindi_oriya | zs_opt | [
-0.11655986309051514,
0.5206817388534546,
-0.5539231896400452,
0.553199052810669,
-0.3939591646194458,
-0.5442532300949097,
-0.09107597917318344,
0.4158693552017212,
-0.23147760331630707,
-0.4638233780860901,
-0.8324989080429077,
-0.7972239851951599,
-0.01925705559551716,
0.275223970413208... |
Teacher:In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: ☆５つ . パッケージが素敵で、初回限定版を... | POS | 6 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
0.18517589569091797,
-0.8877667188644409,
0.04734884575009346,
-0.14873139560222626,
0.5036805868148804,
-0.747282862663269,
0.622671365737915,
0.41247251629829407,
-0.4968585669994354,
0.26365864276885986,
-0.2711595892906189,
-0.3700207769870758,
-0.18689994513988495,
-0.2114182710647583... |
Detailed Instructions: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in t... | -No, no es eso. | 9 | NIv2 | task1651_opus_books_en-es__translation | zs_opt | [
-0.0660085454583168,
0.43565547466278076,
0.4035731554031372,
0.023297324776649475,
0.1612488031387329,
-1.1659131050109863,
1.3793718814849854,
0.31483498215675354,
-0.28191545605659485,
-0.24205604195594788,
0.0726424977183342,
0.5247616767883301,
-1.2404088973999023,
-0.0485165119171142... |
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: સંસ્થા 188 થી દેશને વિસ્ફોટકો, કોમ્પ્રેસ્ડ ગેસ અને પેટ્રોલિયમ જેવા પદાર્થોની સલામતીના નિયમન માટે નોડલ એજન્સી તરીકે સેવા આપી રહી છે.... | ఈ సంస్థ పేలుడు పదార్థాలు, కంప్రెస్డ్ గ్యాసెస్ ఇంకా పెట్రోలియమ్ ల వంటి పదార్థాల తాలూకు భద్రతను నియంత్రించేందుకు ఒక నోడల్ ఏజెన్సీ గా ఏర్పాటై, 1898 నుండి దేశ ప్రజలకు సేవలు అందిస్తూ వస్తోంది. | 3 | NIv2 | task1013_pib_translation_gujarati_telugu | zs_opt | [
-0.36707067489624023,
0.3452743887901306,
0.1335175335407257,
-0.4234936833381653,
0.2024272084236145,
-1.2738010883331299,
0.6682058572769165,
-0.05561360344290733,
-0.3079463839530945,
0.023081164807081223,
-0.6540728807449341,
-0.8426421880722046,
-0.8181053400039673,
-0.522645115852356... |
Instructions: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Input: قلب (به فارسی: گِش یا دل) نوعی عضو عضلانی در انسانها و دیگر ... | False | 3 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.16009578108787537,
0.7278501987457275,
-0.254899799823761,
0.15273632109165192,
-0.4869195818901062,
-0.05317876860499382,
1.0856142044067383,
0.03500422090291977,
0.13500793278217316,
-0.27342039346694946,
-0.7272399663925171,
0.09248591959476471,
-0.8998722434043884,
0.552283167839050... |
Detailed Instructions: 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 t... | Sports | 9 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.48818039894104004,
0.31961607933044434,
-0.45526787638664246,
0.3633924424648285,
-0.03959823399782181,
-0.3042526841163635,
-0.06645235419273376,
0.14121952652931213,
-0.3894394636154175,
-0.10314169526100159,
-0.681731104850769,
0.41150033473968506,
-0.00986713171005249,
-0.0669609233... |
Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Input: Sentence1: Rachel really wanted some new make-up. Sentence2: However, she lacked money ... | Rachel went home and put the eyeliner on. | 3 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.5977747440338135,
1.2969591617584229,
0.15283982455730438,
-1.0361348390579224,
-0.32382410764694214,
0.4823946952819824,
0.31954556703567505,
0.2271113395690918,
0.33080893754959106,
-0.602895975112915,
-0.15095621347427368,
-0.19073212146759033,
-0.4210136830806732,
-0.117292359471321... |
Detailed Instructions: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Problem:Context: HMS Carisbrooke Castle (K379) was a Royal Navy Castle-class corvette. She wa... | 2 | 8 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.17452022433280945,
0.4664975702762604,
-0.14814697206020355,
0.1631002426147461,
0.2607664465904236,
-0.7619507908821106,
0.2512873709201813,
0.4397082030773163,
0.07795727998018265,
-0.22371500730514526,
0.3505653142929077,
-0.08983132243156433,
0.17375889420509338,
0.33103665709495544... |
Detailed 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, outd... | guitar part | 8 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.24049556255340576,
0.22328296303749084,
-0.7286627292633057,
-0.07034702599048615,
0.1487109363079071,
-0.1787995845079422,
-0.20793072879314423,
0.3440417945384979,
0.1133674681186676,
0.279825896024704,
-0.382590115070343,
-0.23929128050804138,
-0.3431786894798279,
-0.3377723693847656,... |
This task is about translating a given English language sentence to French.
Q: My job is to make sure that every person, no matter what fate has assigned to you, will have the opportunity to get the best quality health care in life.
A: | Mon boulot est de assurer que chaque personne, peu importe le destin qui vous a été donné, aura l'occasion de recevoir les meilleurs soins médicaux dans la vie. | 4 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.4738301932811737,
0.5662060379981995,
-0.050135307013988495,
-0.8722144961357117,
-0.004079441539943218,
-0.8482951521873474,
0.3508424162864685,
-0.3561142683029175,
0.5006071329116821,
-0.315218985080719,
0.5050030946731567,
0.4698548913002014,
0.16662731766700745,
0.21781355142593384... |
Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Example: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refi... | Solution: Spontaneous regression of a desmoid tumour. | 5 | NIv2 | task624_ohsumed_question_answering | fs_opt | [
0.31375133991241455,
0.30613553524017334,
-0.28349336981773376,
0.24320273101329803,
-0.06113310530781746,
-0.43543002009391785,
0.7920514941215515,
0.43996554613113403,
0.7936846613883972,
0.8482739925384521,
-0.7718081474304199,
0.3756953179836273,
-0.4126708507537842,
0.2262322008609771... |
Detailed Instructions: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link info... | Which of the chemical agents used in the Halabja chemical attack was first invented? | 8 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
0.040117047727108,
0.5885136127471924,
-0.401974081993103,
0.1475755274295807,
0.32741156220436096,
-0.19905194640159607,
0.8803642988204956,
0.5978996157646179,
0.6670830249786377,
-0.35890620946884155,
-1.068190574645996,
0.16299737989902496,
-1.1230100393295288,
0.1715489774942398,
-0... |
Teacher:Given a sentence in Bulgarian, generate a new Bulgarian 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 probabi... | A Длъжността се използва за улов на процеса. | 6 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.27045783400535583,
-0.01751108467578888,
0.4542645812034607,
-0.8090097904205322,
-0.0809827521443367,
-0.8289141654968262,
1.1099553108215332,
-0.03231151029467583,
0.728662371635437,
-0.6693572998046875,
-0.6577095985412598,
0.8313606381416321,
-0.6453229188919067,
-0.2534049749374389... |
This task is to translate the English language Input to Telugu Language Output
Example Input: University of Birmingham Birmingham
Example Output: బర్మింగ్హామ్ విశ్వవిద్యాలయం బర్మింగ్హామ్
Example Input: > Customized terminals like shunt,braided Cu-wire etc.
Example Output: షంట్ వంటి> అనుకూలీకరించిన టెర్మినల్స్, అల్లిన... | అకుర్ది, పూణే-411035.
| 3 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.9935023784637451,
0.44348692893981934,
-0.12802299857139587,
-0.4969794750213623,
0.04783901572227478,
-0.9514862298965454,
-0.7858172655105591,
-0.1669037938117981,
-0.07056906819343567,
0.7394518256187439,
0.12723709642887115,
0.97688227891922,
0.16810183227062225,
-0.0093421991914510... |
Detailed Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Q: @anonymized_account Dobra idę juz spać powodzenia o vice ci życzę bo mistrz wiesz ze do nas należy
A: | 0 | 9 | NIv2 | task838_cdt_classification | zs_opt | [
-1.675788402557373,
0.9594166278839111,
0.6648606657981873,
0.22264090180397034,
-0.08817233145236969,
-0.1705116629600525,
0.49221518635749817,
-0.4070253372192383,
0.1485937237739563,
0.026811940595507622,
-0.6546482443809509,
-0.13611045479774475,
-0.06640014052391052,
-0.44506490230560... |
Instructions: A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with th... | 14 | 3 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.361480176448822,
1.0969316959381104,
-0.6715497970581055,
-0.76137375831604,
-0.4267480969429016,
-0.43277573585510254,
1.1026053428649902,
0.6511492729187012,
-0.059108950197696686,
-0.9036949872970581,
-0.5735841989517212,
0.9409200549125671,
-0.7787240147590637,
-0.012202223762869835,... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a singl... | 5 | 1 | NIv2 | task1445_closest_integers | zs_opt | [
-0.6531726121902466,
0.9111693501472473,
-0.11168782413005829,
0.1031152606010437,
-0.10472746938467026,
-0.02377062477171421,
1.135985016822815,
0.13856209814548492,
0.5408307313919067,
-0.10976995527744293,
-0.3467702865600586,
-0.3234972655773163,
-0.3470003008842468,
-0.234854131937026... |
Q: A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
और इसलिए भारत में भी उतनी ही संभावना है।
A: | আন্তর্জাতিক সৌরসঙ্ঘের মাধ্যমে আমরা বিশ্ব জলবায়ু পরিবর্তনের সমস্যা মোকাবিলায় এগিয়ে চলেছি। | 7 | NIv2 | task1010_pib_translation_hindi_bengali | zs_opt | [
0.399766206741333,
0.4224105477333069,
0.19340726733207703,
0.4331417679786682,
-0.1537177413702011,
-0.7916868329048157,
0.6278973817825317,
0.3723064064979553,
0.017464086413383484,
-0.7766687273979187,
-1.144418478012085,
0.2586383819580078,
-0.455274760723114,
0.7814076542854309,
-0.... |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Yes-no
| 5 | NIv2 | task462_qasper_classification | fs_opt | [
-0.19198475778102875,
0.13960865139961243,
-0.0840805172920227,
-0.048304811120033264,
0.08770476281642914,
-0.3965035676956177,
0.9062638282775879,
0.22172215580940247,
0.34752601385116577,
0.24268107116222382,
-0.7125222682952881,
-0.36874815821647644,
-0.8210199475288391,
0.191878214478... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Problem:She cools his domain with Spring air, venting heat up to the surface, creating summer.
Solution: | 彼女は春の風によりハーデスの領域を冷やし、地上に熱気を放出し、夏を作り出すのです。 | 8 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.8103160262107849,
0.4751736521720886,
-0.8182031512260437,
0.43062645196914673,
-0.2919958233833313,
-0.9098240733146667,
-0.21426373720169067,
0.23470079898834229,
0.23873445391654968,
-0.07794127613306046,
0.26925599575042725,
0.12856096029281616,
-1.0343263149261475,
-0.1278047859668... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classi... | (A) | 1 | NIv2 | task302_record_classification | fs_opt | [
0.0764821469783783,
0.7936206459999084,
-0.655775785446167,
0.050677474588155746,
0.0706794410943985,
0.5319885015487671,
0.279043972492218,
1.1381144523620605,
-0.28689736127853394,
0.8458435535430908,
-0.09030795097351074,
0.5005247592926025,
-0.3803313970565796,
0.1643383651971817,
-0... |
Instructions: Given a sentence in Russian, generate a new Russian 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 proba... | Вы разочарованы тем, что нашли классное занятие в школе. | 3 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.27677497267723083,
0.5718053579330444,
-0.15913721919059753,
-0.49852800369262695,
-0.5037784576416016,
0.35800987482070923,
0.7725541591644287,
1.4953603744506836,
0.3653368353843689,
-0.6371247172355652,
-0.7106258869171143,
-0.3506771922111511,
-0.06214629113674164,
-0.06102924048900... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the passage and find the corresponding pronoun for the given name. The word between ** ** is the target name. The pronoun should be one of 'her', 'him', 'he', 'she' and 'his' with proper casing ... | he | 0 | NIv2 | task892_gap_reverse_coreference_resolution | fs_opt | [
-0.21993212401866913,
0.975069522857666,
0.6381880044937134,
-0.27011820673942566,
0.45529645681381226,
-0.425529807806015,
0.3694418668746948,
0.5896950960159302,
-0.6225178241729736,
0.6914887428283691,
-0.3055000603199005,
0.5428023338317871,
-1.0438851118087769,
-0.3074286878108978,
... |
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 reverse the resulting ... | 964l | 9 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.20861728489398956,
0.30657196044921875,
-0.2984243631362915,
-0.4710903763771057,
-0.12059755623340607,
-0.04845952242612839,
0.5181357860565186,
0.05807971954345703,
-0.6733061075210571,
0.15319782495498657,
-1.1968340873718262,
0.002520920243114233,
0.048764053732156754,
-0.3312172293... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Example: Sen... | Solution: N | 5 | NIv2 | task190_snli_classification | fs_opt | [
0.08990705013275146,
0.17429277300834656,
0.7802881002426147,
-0.44705355167388916,
0.42780405282974243,
-0.8070666790008545,
-0.32640478014945984,
0.7796491384506226,
0.22263629734516144,
0.5215301513671875,
-0.33767378330230713,
-0.547491729259491,
-0.418117880821228,
-0.6617388725280762... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Example input: JkbloNUq, nYblowj
Example output: b, j, k, l, n, o, q, u
Example explanation: Here, 'JkbloNUq' is the longer stri... | a, c, e, h, i, l, n, o, t, w | 3 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.41660112142562866,
1.7649798393249512,
-0.4417043924331665,
-0.46069860458374023,
0.08923114836215973,
0.03820880874991417,
0.8640130758285522,
-0.6516919136047363,
-0.44761142134666443,
0.5736008286476135,
0.14559558033943176,
-0.2597014307975769,
-0.4298092722892761,
0.435071408748626... |
Definition: 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 addit... | strengthener | 2 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.23824062943458557,
0.24135029315948486,
-0.4395284056663513,
0.10318497568368912,
-0.030639158561825752,
-0.804709792137146,
0.9164466261863708,
1.0547878742218018,
0.7374839186668396,
-0.4917648732662201,
-1.1681592464447021,
-0.027136806398630142,
-0.5596241354942322,
0.032169159501791... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Cuándo cree el hombre oír sonidos de aviones, hielo siendo machacado o cristales rompiéndose? | 4 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.9636926651000977,
0.8594213724136353,
-0.5536165237426758,
-0.911308765411377,
-0.019016019999980927,
-0.17521879076957703,
0.6791001558303833,
1.221713662147522,
0.2191130816936493,
-0.40221086144447327,
-0.34327220916748047,
0.9064837694168091,
-1.5434842109680176,
-0.10872678458690643... |
Q: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I grew out of comics
A: | Do you still like Avengers? | 7 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.22048698365688324,
0.9079978466033936,
-0.1645735800266266,
-1.2865164279937744,
-0.45664939284324646,
-0.632097601890564,
-0.30056676268577576,
0.1846572458744049,
0.004831934347748756,
-0.23943331837654114,
-0.23781777918338776,
0.025069618597626686,
-1.7524985074996948,
0.06750623136... |
Teacher:This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? Solve this instance: The Nigerian table tennis team began their campaign in Group 4 of the men’s team event at the 2018 Commonwealth Games in Gold Coast, Australia on a bright note on Thurs... | Ikọ̀ agbábọ́ọ̀lù orí tábílì Nàìjííríà ti bẹ̀ẹ̀rẹ̀ ìfigagbága wọn nínú ìdíje Commonwealth Games tó ń lọ lọ́wọ́ lórílẹ̀-èdè Australia. | 6 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.2788613438606262,
0.42656147480010986,
-0.018353743478655815,
-0.5486780405044556,
0.34371164441108704,
-0.5764142870903015,
0.2407360076904297,
0.5909291505813599,
-0.08724875748157501,
0.17736759781837463,
0.23955489695072174,
-0.016738610342144966,
-0.9762458205223083,
-0.820962250232... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restr... | good | 8 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
-0.02803059294819832,
0.2983289957046509,
-0.13773071765899658,
-0.41799288988113403,
-0.7090092897415161,
-0.5505319833755493,
0.9218921065330505,
0.21625277400016785,
0.44840896129608154,
-0.4404495358467102,
-0.6167421340942383,
-0.5171966552734375,
-0.9040011763572693,
0.29611638188362... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Q: Commen... | Identity-attack | 4 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.49226582050323486,
0.08040526509284973,
0.4857023060321808,
0.622439444065094,
-0.22530610859394073,
-0.23299360275268555,
-0.019577106460928917,
0.027223097160458565,
0.6448590755462646,
0.47236597537994385,
-0.20844891667366028,
-0.2293669581413269,
-0.3435159921646118,
-0.76217532157... |
Teacher: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 ... | [['L', 'a', 'Z', '8', '9'], ['L', 'a', 'Z', '8', '8'], ['L', 'a', 'Z', '9', '8'], ['L', 'a', '8', '9', '8'], ['L', 'Z', '8', '9', '8'], ['a', 'Z', '8', '9', '8']] | 6 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.34627172350883484,
0.38335540890693665,
-0.3343835771083832,
-0.2513929605484009,
0.22033964097499847,
-0.2964532971382141,
0.42353856563568115,
0.25334447622299194,
-0.21121779084205627,
-0.4499841630458832,
-0.22567510604858398,
0.24776095151901245,
-0.2741759419441223,
-0.05037188529... |
Q: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes... | b | 7 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.5952778458595276,
0.9363807439804077,
-0.06188962981104851,
-0.15583159029483795,
0.905610203742981,
-0.5809658765792847,
0.8302613496780396,
0.6113154292106628,
-0.11446961015462875,
-0.23159199953079224,
0.3278895318508148,
0.5795547366142273,
-1.3914849758148193,
0.04939055070281029,
... |
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 is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happin... | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt | [
-0.8606176376342773,
-0.1472841501235962,
0.7045918703079224,
0.42295852303504944,
0.5231360197067261,
-1.327944040298462,
-0.20964160561561584,
0.42902982234954834,
0.42219194769859314,
1.0306693315505981,
-0.45534637570381165,
-0.3551809787750244,
-0.21848267316818237,
-0.671584844589233... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | Solution: X | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7491005659103394,
0.3655455410480499,
0.14091050624847412,
-0.02318430133163929,
0.2172413021326065,
-0.7439697980880737,
0.8078025579452515,
0.9599225521087646,
-0.7703414559364319,
-0.27196580171585083,
-0.2877863347530365,
0.025584837421774864,
-0.6507962346076965,
0.3678343594074249,... |
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