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 |
|---|---|---|---|---|---|---|
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.
Text: if you're familiar with soylent, you know where this is going.
for those who don't know abou... | drank soylent when my body wasn't ready for it, went on a hike, joined the "i diarrhea'ed in a state park" and "i wiped my ass with my underwear" clubs, and now i walk with a limp because my ass is chafed. | 0 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
-0.021539632230997086,
0.35148799419403076,
-0.15748131275177002,
-0.4527382254600525,
-0.20978301763534546,
-0.43930327892303467,
0.6357145309448242,
0.6751048564910889,
-0.16318896412849426,
-0.708356499671936,
-0.27872371673583984,
-0.3499620854854584,
-0.7373661994934082,
-0.2269913256... |
instruction:
You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
question:
Statement: ଶ୍ରୀମନ୍ଥୁଡ଼ୁ ଏବଂ ଏହାର ତାମିଲ୍ ଡବିଂ ସେଲବାନ୍ଧନ ଏହା ଦିନେ ୭ ଅଗଷ୍ଟ ୨୦୧୫ରେ ସାରା ବିଶ୍ୱରେ ପ... | କେନ୍ଦୁଝର
| 9 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
0.05400172993540764,
0.7072819471359253,
-0.10155563056468964,
0.3383828401565552,
-0.14879538118839264,
-0.5625070333480835,
0.04292438551783562,
0.45755183696746826,
-0.2693610191345215,
0.36688661575317383,
-0.24590517580509186,
-0.08480656892061234,
-0.481816828250885,
-0.3831170797348... |
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.
[EX Q]: Dan has spent the summer assisting a famous author (guest star Jay McInerney), and clearly still has one certain girl on his mind, ... | Margaret Hudson
| 6 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.2350703626871109,
0.9064273834228516,
-0.2183879315853119,
-0.4877445697784424,
0.1447121500968933,
-0.6193459033966064,
0.0833929181098938,
0.36512303352355957,
0.3845682144165039,
0.09049367904663086,
-0.22601452469825745,
0.7799956798553467,
-0.5089650750160217,
-0.07727231830358505,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be purchase by', Argument/Subject 1: 'macromedium', Argument/Subject 2: 'adobe' | When Adobe purchased Macromedia in 2005 they decided to retain the greater sophistication of Fireworks and discontinue ImageReady which they did in 2007 with the introduction of CS3 . | 0 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.9539777636528015,
0.3554776906967163,
-0.4201434254646301,
-0.10244402289390564,
-0.5932974815368652,
0.05148903280496597,
0.16256240010261536,
0.8104085922241211,
0.3043360412120819,
-0.34304994344711304,
0.3773224353790283,
-1.1613667011260986,
-0.3582291007041931,
-0.35114556550979614... |
Teacher:You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Teacher: Now, understand the problem? Solve this instance: The situation makes my husband feel irritated.
Student: | male | 6 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.839678168296814,
0.23325681686401367,
-0.0961969792842865,
-0.9270861148834229,
-0.013794627971947193,
-0.37563928961753845,
0.5490467548370361,
0.4305277466773987,
0.9371567964553833,
-0.27234601974487305,
-0.8689794540405273,
-0.21049270033836365,
-0.9747996926307678,
-0.6994985342025... |
Detailed Instructions: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Problem:Oliver was organizing his baseball cards in a binder with 3 ... | 4 | 8 | NIv2 | task865_mawps_addsub_question_answering | zs_opt | [
0.12707369029521942,
0.49857228994369507,
-0.9867949485778809,
-0.15444976091384888,
-0.2605297863483429,
0.41079211235046387,
1.2151949405670166,
-0.014760303311049938,
0.25446656346321106,
-0.6661438941955566,
-0.6534352898597717,
0.1713428497314453,
-0.14534218609333038,
-0.105142235755... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Example Input: name[xname], eattype[coffee shop], cuisine[Italian], price[high], rating[average], location[riverside], familyFriendly[no]
Example ... | The coffee shop by xnear, xname, serves English food. It has a high price range but has only received average reviews.
| 3 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.6065899133682251,
0.09250397980213165,
-0.6724270582199097,
-0.567016065120697,
-0.37287241220474243,
0.2902871370315552,
0.5240079164505005,
1.1305606365203857,
-0.06599690020084381,
-0.5778974294662476,
0.7162613868713379,
-0.04342193901538849,
-0.29484087228775024,
0.1468020677566528... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original... | Original | 9 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.7146450281143188,
1.0086288452148438,
-0.12560954689979553,
-0.3161696195602417,
-0.1872686743736267,
-0.3396017551422119,
0.445037305355072,
0.683383584022522,
0.11917194724082947,
-0.4498772919178009,
-0.875346839427948,
0.004548252560198307,
-1.1760129928588867,
-0.006205993704497814... |
Q: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list... | SIMILAR | 7 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.8342269062995911,
0.6980843544006348,
0.14378002285957336,
0.033518217504024506,
-0.2130436897277832,
0.21396368741989136,
1.3047761917114258,
0.2729176878929138,
0.6183326244354248,
-0.14344371855258942,
-0.47875118255615234,
-0.07122120261192322,
-0.9784044027328491,
-0.00919876061379... |
Definition: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Input: My Ex ... | no longer wanting to be friends w/ the person dating my ex | 2 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
-0.23782289028167725,
0.1357155442237854,
0.23265567421913147,
-0.569760799407959,
-0.12207940220832825,
-0.4336986541748047,
0.41172298789024353,
0.5393480062484741,
0.1527080535888672,
0.2785874307155609,
0.012024981901049614,
0.4192827343940735,
-1.0252127647399902,
0.09854213148355484,... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
One example is below.
Q: what kind of film is Best Seller?
A: crime
Rationale: The answer is correct because crime genre movie is among best... | good | 9 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.4196162223815918,
0.21549585461616516,
-1.0860697031021118,
0.14288049936294556,
-0.3140956163406372,
0.10182683169841766,
0.6071796417236328,
0.11461538076400757,
0.11297272145748138,
-0.15250465273857117,
-0.24029403924942017,
-0.15673978626728058,
-0.6741471290588379,
0.2069686949253... |
Definition: In this task, you need to identify the sentiment of the given sentence as one of 'positive' or 'negative.
Input: and friendship's tenderest sympathy
Output: | positive | 2 | NIv2 | task833_poem_sentiment_classification | zs_opt | [
-1.0539815425872803,
0.5073066353797913,
0.6289790272712708,
-0.6186864376068115,
-0.09787634015083313,
-1.3161776065826416,
0.7677726149559021,
-0.5644773244857788,
1.0062041282653809,
0.0701083391904831,
-0.9133690595626831,
-0.24528899788856506,
-0.16499218344688416,
-0.0635109990835189... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Problem:['n', '3983', 'g', 'u']
Solution: | 3983 | 8 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.07995036244392395,
0.35445213317871094,
-0.6818946599960327,
-1.6338491439819336,
-0.15868817269802094,
0.0903167650103569,
0.3436688184738159,
-0.49796611070632935,
-0.2084847092628479,
0.3829682469367981,
-0.39637696743011475,
0.03336947411298752,
-0.04327532276511192,
-0.5074282288551... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Is obstructive sleep apnea associated with visit-to-visit variability in low-density lipoprotein-cholesterol in patients with coronary artery disease?
| 3 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
1.0471971035003662,
0.358135849237442,
-0.5288631319999695,
0.3194628357887268,
0.5373710989952087,
-0.33592888712882996,
0.871113657951355,
0.949313223361969,
0.15358836948871613,
0.215714693069458,
-0.509320855140686,
0.5560917258262634,
-0.1817057728767395,
0.15213550627231598,
-0.006... |
Definition: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: Tanisha found herself in an annoying situation.
Output: | female | 2 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.31918448209762573,
0.16748866438865662,
-0.29939332604408264,
-0.5772800445556641,
-0.14150914549827576,
0.42468029260635376,
0.06817396730184555,
0.2900790274143219,
0.7019757628440857,
0.5181223154067993,
-1.4294973611831665,
-0.1513722687959671,
-0.704993486404419,
0.2195050716400146... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Let me give you an example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
The answer to this example can be: Who did the Han Chinese want to help the Mongols fight... | How much potential economic growth could the United States amass if everyone went through less schooling? | 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.7195038795471191,
0.7057633996009827,
-0.08092471212148666,
-0.7505424618721008,
-0.46737831830978394,
-0.6801406145095825,
0.9396644830703735,
0.9442408084869385,
0.30193954706192017,
-0.3756978213787079,
-0.259906530380249,
-0.611166775226593,
-1.2336132526397705,
-0.3921034038066864,... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
--------
Question: At this moment I don't have any
Answer: Do you have any meetings tomorrow?
Question: I think I'll be more successful there.
Answer: Is it more in line with your skill set?
Question: I've w... | Have you always worked in this field?
| 7 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.4396543800830841,
0.765337347984314,
0.39591044187545776,
0.3024113178253174,
0.045060981065034866,
-0.43483471870422363,
-0.24598440527915955,
0.5152466297149658,
0.5778363347053528,
-0.19052374362945557,
-0.19297543168067932,
0.06598523259162903,
-0.4076259434223175,
0.137900412082672... |
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `... | Output: no_reservation
| 2 | NIv2 | task573_air_dialogue_classification | fs_opt | [
0.739102840423584,
0.2442697286605835,
-0.9604668617248535,
-0.4755203425884247,
0.3370549976825714,
-0.0545901320874691,
1.2539490461349487,
0.45552894473075867,
-0.37336573004722595,
0.3349178731441498,
0.4046640694141388,
0.15013501048088074,
-0.5326851606369019,
0.19009068608283997,
... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
[EX Q]: Sentence 1: Kevin was posting hits on mturk. Sentence 2: P... | Mirror
| 6 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.49220842123031616,
-0.18984779715538025,
-0.3171845078468323,
-0.5580371618270874,
0.8624660968780518,
-0.44407087564468384,
0.7164885997772217,
0.9083210229873657,
-0.010237395763397217,
0.019771799445152283,
-0.5687724947929382,
0.4357333481311798,
-0.6215434074401855,
0.41849359869956... |
Part 1. Definition
This task is about translating a given Yoruba language sentence to English.
Part 2. Example
Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
Answer: Today CC licenses are prevalent across the web and are used by c... | There is no compulsion in voluntary work. | 7 | NIv2 | task1686_menyo20k_translation | fs_opt | [
0.009151006117463112,
0.670423150062561,
-0.39876043796539307,
0.12534700334072113,
0.001332886517047882,
0.0661214292049408,
-0.14456573128700256,
0.3527337908744812,
0.05099707469344139,
-0.6900626420974731,
-0.21325984597206116,
-0.5550827980041504,
-0.7518891096115112,
0.41832348704338... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the len... | U, 8069, s, 4645, 2945, 1071, X, 1119 | 1 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.387406587600708,
0.27575546503067017,
-0.8389065265655518,
-0.020566672086715698,
-0.0027575388085097075,
-0.41269049048423767,
0.5583161115646362,
-0.4707837700843811,
-0.3291395306587219,
0.12544219195842743,
-0.6416229009628296,
0.027333341538906097,
0.29421594738960266,
-0.122380927... |
Q: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence... | [['103 Colmore Row', 'ARCHITECT', 'John Madin'], ['John Madin', 'HOMETOWN', 'Birmingham'], ['Birmingham', 'LEADER_NAME', 'John Clancy (Labour politician)']] | 7 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.5260375142097473,
0.667151153087616,
-0.1763884723186493,
-0.2502918243408203,
-0.19428738951683044,
-0.13543373346328735,
0.9837758541107178,
-0.2019871175289154,
-0.09695662558078766,
-0.18770012259483337,
-0.5733019709587097,
0.7712440490722656,
-0.223970428109169,
0.0102638117969036... |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Problem:See, for that the LORD hath given you the sabbath, therefore he giveth you on the sixth day the bread of two days; abide ye every man in his place, let no man go out of his pla... | و موسی گفت: «این امری است که خداوند فرموده است که عومری از آن پرکنی، تا در نسلهای شما نگاه داشته شود، تا آن نان را ببینند که در صحرا، وقتی که شما را از زمین مصر بیرون آوردم، آن را به شما خورانیدم.» | 8 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.4302675127983093,
1.2573957443237305,
0.3518492579460144,
-0.7511676549911499,
-0.7529535293579102,
-0.7156052589416504,
0.9510554671287537,
0.48019498586654663,
0.6557554006576538,
-0.33696597814559937,
-0.18533261120319366,
0.6996523141860962,
-0.9069476127624512,
0.02069384977221489,
... |
In this task, you need to reverse the order of words in the given sentence.
[EX Q]: Sentence: a large airplane is sitting on the runway at the airport
[EX A]: airport the at runway the on sitting is airplane large a
[EX Q]: Sentence: the road is a cross between aurora and 90th street
[EX A]: street 90th and aurora be... | pitcher from hit deliver to about bat at player baseball
| 6 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.3558896481990814,
1.0055227279663086,
-0.7657285928726196,
-0.701654851436615,
-0.4502846598625183,
0.16093888878822327,
0.05446555092930794,
0.5822240114212036,
0.8656029105186462,
0.05458211153745651,
-0.3386121988296509,
0.39120805263519287,
0.0635678693652153,
-0.36278432607650757,
... |
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answe... | Step1: What is the density of a pear?, Step2: What is the density of water?, Step3: Is #1 greater than #2?, Wikipedia page for step 1: Pear, Wikipedia page for step 2: Water, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: False | 0 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.5395819544792175,
-0.04496189206838608,
-0.6658220887184143,
0.23339605331420898,
0.0906267836689949,
-0.6998234987258911,
1.0229662656784058,
0.5555655360221863,
0.1852359175682068,
0.2262675166130066,
-0.30352360010147095,
0.014823917299509048,
-0.742165744304657,
0.27299126982688904,
... |
Given the task definition and input, reply with output. In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical l... | False | 5 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.4524308741092682,
0.8144039511680603,
-0.40776684880256653,
0.3985799551010132,
-0.3142673075199127,
-0.5064265727996826,
0.41472434997558594,
0.7402803897857666,
-0.3078228235244751,
-0.15450578927993774,
-0.9058777093887329,
0.5029523372650146,
0.14856906235218048,
-0.17875288426876068... |
Q: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Canadian law requires that all persons entering Canada must carry proof of both citizenship and identity. A valid U.S. passport or passport card is pref... | Yes | 7 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.6514903903007507,
0.32870668172836304,
-0.09156785160303116,
-0.41888171434402466,
-0.317081093788147,
0.05389781668782234,
1.1909183263778687,
0.5079365968704224,
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0.10147835314273834,
-0.2250460982322693,
-0.21254999935626984,
-0.3676128089427948,
0.1614893972873687... |
Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation... | అమెరికా సంయుక్త రాష్ట్రాలు | 4 | NIv2 | task878_kde4_translation | zs_opt | [
-0.6602190732955933,
0.3594256639480591,
0.3844161331653595,
0.8328911066055298,
0.22039565443992615,
-1.151590347290039,
0.5255314707756042,
0.26619213819503784,
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-0.1860533356666565,
0.4256819486618042,
-0.6895245909690857,
0.11894786357879639,
... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
[EX Q]: who played the dead friend in t... | Jay Treaty
| 6 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.25720182061195374,
0.5954420566558838,
-0.45868366956710815,
-0.47510963678359985,
-0.9932359457015991,
-0.63641357421875,
1.254584550857544,
0.2337845414876938,
0.06219088286161423,
-0.35978978872299194,
0.05902764946222305,
0.009232280775904655,
-0.5784895420074463,
0.1062766090035438... |
Part 1. Definition
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Part 2. Example
PersonX keeps ___ in mind
Answe... | to help | 7 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.12155559659004211,
0.2627515494823456,
-0.084431953728199,
-0.41191816329956055,
-0.3750287890434265,
-0.8957332968711853,
1.3655457496643066,
0.2563951909542084,
0.6041057109832764,
-0.5997167825698853,
-0.2140733301639557,
-0.05625665932893753,
-0.8290339112281799,
0.6826690435409546,... |
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"
Ex Input:
کاهش توانایی شخص در اندیشیدن، عاطفهٔ ضعیف، انجام رفتارهای نامعقول و نات... | True
| 1 | NIv2 | task396_persianqa_classification | fs_opt | [
-0.1272226870059967,
0.36377912759780884,
-0.606590986251831,
-0.14052531123161316,
-0.34648841619491577,
0.05796971917152405,
0.9839837551116943,
0.6194305419921875,
0.09692876040935516,
0.2325000762939453,
-0.54865962266922,
0.7754099369049072,
-0.8945375680923462,
0.07004562765359879,
... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | Output: Yes
| 2 | NIv2 | task496_semeval_answer_generation | fs_opt | [
-0.3686555027961731,
0.34621116518974304,
0.5712134838104248,
0.16004034876823425,
-0.4382733702659607,
-0.4933363199234009,
-0.37860360741615295,
0.4030769169330597,
-0.13962474465370178,
-0.3142607808113098,
-0.6546652317047119,
0.2613200545310974,
-0.8760663866996765,
0.1264965832233429... |
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... | Positive
| 1 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.11165577173233032,
-0.38141170144081116,
0.26801466941833496,
0.08683870732784271,
0.6208118200302124,
-0.4141392111778259,
1.1090785264968872,
0.5094351172447205,
-0.24404072761535645,
0.25066041946411133,
0.4062168598175049,
0.7322918772697449,
-0.040753625333309174,
0.080575287342071... |
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 -
'.': Period symbol is used f... | X
| 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3284534513950348,
-0.006866976618766785,
-0.14710450172424316,
0.10577694326639175,
-0.08679739385843277,
-0.46643131971359253,
0.45816272497177124,
0.7674129605293274,
-0.2620164453983307,
-0.03791400045156479,
-0.7955194711685181,
0.051875293254852295,
-0.5767772197723389,
0.2705849111... |
Detailed 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.
Q: ଚୈତ୍ର ସୁକ୍ଳାଡ଼ି, ଉଗାଦି, ଗୁଡ଼ି ପରବ, ଚେତି ଚାନ୍ଦ, ନଭରେହ ଓ ସାଜିବୁ ଚେରାଓବା ପର୍ବ ଅବସରରେ ରାଷ୍ଟ୍ରପତିଙ୍କ ଶୁଭେଚ୍ଛା
A: | प्रधानमंत्री ने कहा, चेति चंद के शुभ अवसर पर सिंधी समुदाय को मेरी ओर से शुभकामनाएं। | 9 | NIv2 | task986_pib_translation_oriya_hindi | zs_opt | [
-0.6355498433113098,
0.8467416763305664,
-0.8016902804374695,
0.014396676793694496,
0.0716567113995552,
-0.7286608219146729,
-0.16210365295410156,
-0.5479980707168579,
-0.1560390293598175,
-0.7213089466094971,
-0.1723499447107315,
-0.5440908074378967,
0.618189811706543,
0.05817383155226707... |
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 an article. Your task is to summarize the article in a sentence.
Ms Bourne, who became Sussex's first PCC in 2012, was declared winner after the vote went to a second cou... | Business Secretary Sajid Javid says the government's trade union reforms will prevent people from being "bullied" by striking workers. | 0 | NIv2 | task1290_xsum_summarization | fs_opt | [
-0.03456370532512665,
0.5578705072402954,
-0.4921875,
0.11266207695007324,
0.4333617091178894,
-0.09360374510288239,
0.3982830345630646,
0.4510098099708557,
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0.4509246349334717,
-0.12400484085083008,
0.35834357142448425,
0.10463866591453552,
0.13990435004234314,
-0.20... |
Given the task definition and input, reply with output. Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
MUFON គឺជាអង្គការស៊ើបអង្កេតយានUFO ក្នុងសហរដ្ឋអាមេរិក។
| MUFONは、合衆国のUFO調査組織である。 | 5 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.19895678758621216,
-0.15024887025356293,
0.36132925748825073,
-1.261695384979248,
-0.13564139604568481,
0.19675350189208984,
0.19882574677467346,
-0.13770224153995514,
0.26285678148269653,
-0.08689288794994354,
-1.0963711738586426,
0.12024560570716858,
-1.0298709869384766,
-0.1124078854... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable fro... | Where is Mary? | 1 | NIv2 | task082_babi_t1_single_supporting_fact_question_generation | zs_opt | [
0.4623994827270508,
0.8495058417320251,
-1.0407931804656982,
-0.08701694011688232,
-0.31007179617881775,
-0.19651183485984802,
1.0194897651672363,
0.05297083780169487,
-0.08922259509563446,
-0.22063879668712616,
-0.31275999546051025,
0.05133640021085739,
-0.2906069755554199,
0.273453831672... |
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 Polish.
من عاشق زندگیم. و عاشق زنده بودنم. دوست دارم چیزها را ببینیم.
| Kocham życie, kocham żyć. Lubię patrzeć na świat. | 5 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.43833494186401367,
0.8648915886878967,
0.0013304551830515265,
0.21965175867080688,
-0.47658756375312805,
-0.09165382385253906,
0.8928057551383972,
-0.2011575698852539,
0.5893840193748474,
-0.40575575828552246,
-0.5139070153236389,
0.5198533535003662,
-0.5814412832260132,
0.5116838216781... |
Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny... | Funny | 3 | NIv2 | task495_semeval_headline_classification | zs_opt | [
-0.16171902418136597,
0.5144860148429871,
0.05593089759349823,
0.34854990243911743,
-0.45656025409698486,
-0.7581131458282471,
-0.35124537348747253,
0.8424023389816284,
0.02617453783750534,
-0.21858343482017517,
-0.6099486351013184,
0.08479739725589752,
-0.39228782057762146,
0.040975198149... |
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... | unrelated | 0 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.21191853284835815,
0.20440949499607086,
0.3209042549133301,
0.05994635075330734,
-0.1004936546087265,
-0.6689334511756897,
0.4310879409313202,
0.9936693906784058,
0.17013509571552277,
0.3342874348163605,
-0.7624489665031433,
-0.3969036340713501,
-0.8344254493713379,
-0.13268175721168518... |
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 classified as '1' else it... | 0
| 6 | NIv2 | task1535_daily_dialog_uniqueness_classification | fs_opt | [
0.3818225860595703,
0.559322714805603,
-0.29559507966041565,
-0.17293156683444977,
0.30280202627182007,
-0.5587949752807617,
0.4294876456260681,
1.0701669454574585,
0.2618096172809601,
-0.2883637845516205,
-0.14764763414859772,
-0.14879857003688812,
-0.3343718945980072,
0.08410712331533432... |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
We create poem because we are monkey, and the human, i... | C
| 0 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
-0.002708895830437541,
0.8411426544189453,
-0.28824150562286377,
-0.4165276288986206,
-0.2762664556503296,
-0.7456430196762085,
0.08120772987604141,
0.5071919560432434,
0.27471622824668884,
-0.05079038441181183,
-0.18498635292053223,
0.3554389476776123,
0.2872766852378845,
-0.2943261265754... |
Part 1. Definition
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based o... | Original | 7 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.1347143054008484,
0.09533971548080444,
0.37700825929641724,
0.09068208932876587,
0.2903974950313568,
-0.1384570300579071,
1.0067181587219238,
0.16929465532302856,
0.5047934055328369,
-0.3963736295700073,
-0.752370297908783,
-0.5560265183448792,
-0.7414902448654175,
-0.13559776544570923,... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 3b, 1c | 4 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.19081580638885498,
-0.20824918150901794,
0.14917975664138794,
-0.2902827560901642,
-0.1283106803894043,
0.5390884280204773,
0.1928558349609375,
0.9796432256698608,
-0.31864672899246216,
-0.19652405381202698,
-0.35068750381469727,
-0.4273234009742737,
0.03210775926709175,
-0.474617898464... |
instruction:
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 indi... | green_drawer
| 9 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.187831848859787,
-0.22637939453125,
-0.2405937910079956,
-0.3060755133628845,
-0.34922850131988525,
-0.3818940818309784,
-0.07119479775428772,
0.7029522657394409,
0.21238663792610168,
0.11560888588428497,
-0.29582643508911133,
0.5706436634063721,
0.00271052960306406,
0.06782626360654831,... |
TASK DEFINITION: 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 giv... | upset
| 8 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.15693578124046326,
0.0961722657084465,
-0.25583428144454956,
-0.49814385175704956,
-0.2539379596710205,
0.12421336770057678,
1.0609959363937378,
0.4701254069805145,
0.9097498655319214,
-0.2513207495212555,
0.022936979308724403,
-0.3153718411922455,
-0.3429914116859436,
0.5188322067260742... |
Definition: Given a sentence in Japanese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Input: McSweeneyは北アイルランドで生まれ、ロンドンに引っ越しました。
Output: | McSweeney wurde in Nordirland geboren, zog jedoch nach London. | 2 | NIv2 | task817_pawsx_japanese_german_translation | zs_opt | [
-0.17476505041122437,
0.6798633337020874,
-0.10397795587778091,
-0.7753298282623291,
0.2816915214061737,
0.08493838459253311,
0.4547468423843384,
0.039523184299468994,
1.0243735313415527,
-0.20239979028701782,
-0.522507905960083,
0.4087177515029907,
-1.740535020828247,
0.6558206081390381,
... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Example Input: It depends on the day.
Example Output: Has your life gone the way you expected?
Example Input: We got so old!
Example Output: Hasn't time flown by?
Example Input: Early to rise gets the worm.
Exa... | Will you be having a lie in in the morning?
| 3 | NIv2 | task568_circa_question_generation | fs_opt | [
0.020499303936958313,
1.2063642740249634,
-0.2602022886276245,
-0.41822418570518494,
-0.5592522025108337,
-1.1279865503311157,
0.4459313750267029,
0.2990172505378723,
-0.2529110908508301,
-0.5565726161003113,
-0.5389836430549622,
0.5016235113143921,
-0.5710750222206116,
0.35068511962890625... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: "A motorcycle carrying two people broke through the... | अफ़गानिस्तान में NATO के अंतर्राष्ट्रीय सुरक्षा सहायता बल (ISAF) के कनाडाई दल के डिप्टी कमांडर कर्नल फ़्रेड लुईस ने कहा, "दो लोगों को लेकर जा रही एक मोटरसाइकिल ने तेज रफ़्तार से अफ़गान नेशनल पुलिस का बाहरी सुरक्षा घेरा तोड़ दिया।" | 9 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
0.08845815807580948,
-0.29640132188796997,
-0.17848774790763855,
-0.431871235370636,
0.38543978333473206,
-1.0010991096496582,
0.39563867449760437,
0.2528113126754761,
-0.3198239505290985,
0.20018459856510162,
-1.105010747909546,
0.10536911338567734,
-0.6842519044876099,
0.2648638784885406... |
Q: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Y... | entails | 7 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.5604580044746399,
0.47510913014411926,
-0.5319386124610901,
-0.023108039051294327,
-0.7818893194198608,
-0.9550133347511292,
0.15902172029018402,
0.7867642641067505,
0.07276175916194916,
-0.8624355792999268,
-1.1920461654663086,
-0.007937617599964142,
-0.5815674066543579,
0.265453368425... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a ... | On són les piràmides de Núbia? | 8 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
1.0698258876800537,
1.1447943449020386,
-0.6173330545425415,
0.03217633068561554,
-0.20034830272197723,
-0.26772773265838623,
1.079129934310913,
0.4804280698299408,
-0.3472527861595154,
0.42345476150512695,
-0.07072741538286209,
0.40712493658065796,
-0.8942521810531616,
0.20623928308486938... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given in... | b, s, O, G, b, X, C, p, B, n, H, U, c, v, b, Y, M, r, U, C, 3217, 8463, 4753, 9369, 3677, 8729, 2089, 9053, 1057, 8245, 4499, 5331, 3333, 8333, 8037, 725, 5065 | 7 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.0733305960893631,
0.5224456191062927,
-0.673538088798523,
-0.37014228105545044,
0.005428163334727287,
-0.6666650772094727,
0.14933061599731445,
0.2889542579650879,
-0.34911006689071655,
0.6652043461799622,
-0.6896928548812866,
0.2856603264808655,
0.14788126945495605,
-0.0970398485660553... |
Detailed Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the s... | neutral | 8 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.0750514566898346,
0.6371078491210938,
0.19389735162258148,
0.16039863228797913,
-0.3046737313270569,
-0.8222329020500183,
0.7237242460250854,
0.6425553560256958,
-0.004602747969329357,
-0.06696592271327972,
-0.9391689300537109,
-0.2312191128730774,
-0.5247489809989929,
0.074602775275707... |
Instructions: 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: U.S. GEOGRAPHIC NICKNAMES
Clue: Appropriately enough, this New ... | buffalo | 3 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.24733582139015198,
0.5407593846321106,
-0.050348736345767975,
-0.44353628158569336,
0.46400877833366394,
-0.11466985940933228,
0.5304379463195801,
-0.12036481499671936,
0.680787205696106,
0.3487164378166199,
-0.3239646852016449,
0.5984094142913818,
-0.42765843868255615,
0.01168336905539... |
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 an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else outpu... | 0 | 0 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.5272738933563232,
0.8016544580459595,
-0.4492020606994629,
-0.013776923529803753,
-0.11094273626804352,
-0.029061011970043182,
1.1669950485229492,
0.5557209253311157,
0.07983849942684174,
-0.27420687675476074,
-0.18753473460674286,
-0.5865042805671692,
-0.0053947847336530685,
0.04719728... |
Detailed Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: The EU must therefore mobilise resources immediately and effectively, in terms of quantity as ... | No | 9 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.4227069318294525,
0.6580947041511536,
0.8158327341079712,
0.17466720938682556,
-0.6008819341659546,
-0.9329320192337036,
0.14014586806297302,
0.9888731837272644,
-0.3511868715286255,
0.3289487957954407,
0.034649912267923355,
-0.014067355543375015,
-0.2894566059112549,
-0.202831238508224... |
You will be given a review about a book, an item, a place or a movie. After that, a question is given that you should answer using a certain span of the review. Your answer should be from the review itself and should not contain extra words, and should not be a combination of different spans. If there's no direct answe... | everything looks gorgeous
| 6 | NIv2 | task144_subjqa_question_answering | fs_opt | [
-0.26636508107185364,
-0.3078416883945465,
-0.7631347179412842,
0.1314598023891449,
-0.06313848495483398,
-0.2985430359840393,
0.8106968998908997,
0.3987407088279724,
0.2901666760444641,
-0.07860561460256577,
-0.0024104369804263115,
0.37185370922088623,
-0.4403771758079529,
0.1372659206390... |
Teacher: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.
Teacher: Now, understand the pro... | Not Hope Speech | 6 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.5517308712005615,
-0.10842996090650558,
0.9073560237884521,
0.3294900059700012,
-0.42478299140930176,
-1.1522581577301025,
-0.2978608012199402,
1.250209927558899,
-0.6236388683319092,
0.28126758337020874,
0.10802546888589859,
-0.010744872502982616,
-0.11677740514278412,
-0.6493604779243... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
[Q]: There was known to everyone.
[A]: 0
[Q]: Mike will sing if you will sing.
[A]: 1
[Q]: The meeting began at 4 P.M.
[A]: | 1
| 5 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
0.12707123160362244,
1.1415424346923828,
-0.13749414682388306,
-0.2709268629550934,
0.03724183887243271,
-1.4214534759521484,
0.5958178043365479,
-0.12555766105651855,
0.4975021779537201,
0.061719540506601334,
-0.5783303380012512,
-0.7507596611976624,
-0.26510655879974365,
-0.2966190576553... |
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.
One example is below.
Q: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on t... | inauguration | 9 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.076799675822258,
0.5766012668609619,
0.11848720908164978,
-0.10337162017822266,
-0.16975179314613342,
-0.8298159837722778,
0.7092106342315674,
0.3174131512641907,
-0.006860667839646339,
0.13639146089553833,
-0.06712331622838974,
0.03410133719444275,
-0.4982619881629944,
-0.42595264315605... |
You will be given a definition of a task first, then some input of the task.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. ... | Hate Speech | 1 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.3688508868217468,
0.3399006426334381,
0.6991748809814453,
0.5581598281860352,
0.024097628891468048,
-0.5405380725860596,
-0.3642262816429138,
0.7156488299369812,
0.4042138457298279,
0.5935178399085999,
-0.24073494970798492,
-0.5274222493171692,
-0.42121902108192444,
-1.1308469772338867,... |
Definition: 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 any disfluency.
Input: What time or better when was Montreal captured?
Output: | When was Montreal captured? | 2 | NIv2 | task1622_disfl_qa_text_modication | zs_opt | [
0.34941598773002625,
0.3942217230796814,
-0.268199622631073,
-0.3397366404533386,
-0.41557401418685913,
0.33243197202682495,
0.2944087088108063,
0.3219538629055023,
0.6094024181365967,
0.24336330592632294,
-1.0733951330184937,
-0.7268232107162476,
-0.8968498110771179,
0.4432629942893982,
... |
Teacher:You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In ... | A, B, D. | 6 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.7861371636390686,
0.31540167331695557,
-0.8216222524642944,
-0.40188783407211304,
0.2778903841972351,
-1.2615830898284912,
0.9414554834365845,
1.09723961353302,
-0.22437569499015808,
0.11550621688365936,
0.00742459949105978,
-0.2048034965991974,
-0.5183029770851135,
-0.5938477516174316,
... |
Q: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Hon. Miss Dashwood, whose manners very pretty face, she offended you have done before.
A: | Not angry | 7 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.4384931325912476,
0.1570134460926056,
0.8764479160308838,
-0.24016351997852325,
0.15977871417999268,
-1.3156535625457764,
0.3904157280921936,
0.06738899648189545,
0.1683797985315323,
0.9553430676460266,
0.20000596344470978,
-0.3523806035518646,
0.011820097453892231,
-0.26296842098236084... |
Q: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: पहिल्या विभागात इ.स. १९०१ मध्ये १० वर्षीय भीमराव आंबेडकरांनी आणि त्यांच्या भावंडांनी त्यांच्या निवास... | सातारा | 7 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.6876070499420166,
0.539770781993866,
-0.3625814616680145,
-0.04365162551403046,
-0.5554084777832031,
-0.7560194134712219,
0.31757742166519165,
-0.010231515392661095,
0.4191495180130005,
-0.2895341217517853,
-0.3470477759838104,
0.29638850688934326,
-0.16095653176307678,
-0.33813935518264... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Q: Title: Pregnant. Sentence 1: The ... | Now June plays first chair cello in the school orchestra! | 9 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.2005993127822876,
0.8488193154335022,
0.10409539937973022,
-0.12124213576316833,
-0.28287264704704285,
0.27027207612991333,
0.03901208937168121,
0.8754528164863586,
0.26003438234329224,
0.11813318729400635,
-0.7001996040344238,
0.033411577343940735,
-0.5413306951522827,
0.21716433763504... |
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Example: ఈ పోర్టల్ ను 2019-20 ఆర్థిక సంవత్సరానికి ఎన్జిఒ లు మరియు రాష్ట్రాలు ఆన్లైన్ లో దరఖాస్తులను దాఖలు చేయడం కోసం బుధవారం నాడు తిరిగి తెరవడం జర... | Solution: उन्होंने वन धन योजना लांच की जिसका उद्वेश्य जनजातीय समुदायों को सशक्त बनाना है। | 5 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.37752068042755127,
0.38121670484542847,
0.18892605602741241,
0.09732018411159515,
-0.2289314717054367,
-0.810427188873291,
0.4615634083747864,
0.6747393608093262,
-0.23119968175888062,
0.30998706817626953,
-0.4782055616378784,
0.19687995314598083,
-0.6513034105300903,
0.0421051904559135... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | आप हमारे सामाजिक अंतरिक्ष को प्रभावित करने के लिए एक फिल्म कह सकते हैं.
| 5 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
0.3397454619407654,
0.43656182289123535,
0.3702917695045471,
-0.21165722608566284,
-0.11639577150344849,
-0.9959396719932556,
0.5150938034057617,
0.7681162357330322,
0.1814144104719162,
-0.5521172285079956,
-1.1522563695907593,
-0.3121418058872223,
-0.394145667552948,
0.10950087010860443,
... |
instruction:
Given a text, write a compressed version of it in a single sentence.
question:
The research published in Science gives evidence of progress by documenting the first successful transplantation of functional heart cells into an animal model. These transplanted cells line up properly, make the correct connect... | I urge you to support a group that the San Francisco Chronicle calls "one of America's most respected conservative organizations."
| 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.2273612767457962,
0.18105795979499817,
-0.5781761407852173,
0.04817385971546173,
0.00716630183160305,
-0.9335427284240723,
0.3729582130908966,
0.14028410613536835,
-0.1633499711751938,
0.18404452502727509,
-0.17570768296718597,
-0.06348340213298798,
-0.36633536219596863,
0.4832984805107... |
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.
Q: Sentence1: Mike was into photography. Sentence2: He wanted to try his hand at being a photographer. Sente... | Mike was thrilled and uses the camera every chance he gets. | 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-1.0870107412338257,
1.052203893661499,
0.2739116847515106,
-1.0689884424209595,
0.2120254635810852,
0.43939656019210815,
0.5582400560379028,
0.05356675386428833,
0.6827506422996521,
0.14552411437034607,
-0.603032112121582,
-0.5081619620323181,
-0.5028311610221863,
0.1255439668893814,
0.... |
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 a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a ... | Not Outstanding. Light to Medium Roast. Smooth, Not Acidic. | 0 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.09566374868154526,
-0.04122472181916237,
-0.751157820224762,
-0.035664841532707214,
-0.18000176548957825,
0.20521387457847595,
0.7627216577529907,
0.6210471391677856,
-0.06500507891178131,
0.23434783518314362,
0.22840461134910583,
0.271088182926178,
-0.568851888179779,
-0.040699951350688... |
Detailed Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Problem:Context: Skylar took their daughter Casey to Disneyland as their Christmas present.
Answer: have fun wi... | What will Skylar want to do next? | 8 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.3747982084751129,
0.37108469009399414,
-0.8884787559509277,
-0.43213582038879395,
-0.04930805042386055,
0.18777886033058167,
0.6647631525993347,
0.1305243968963623,
1.142592430114746,
0.4931205213069916,
0.6920346617698669,
0.42585861682891846,
-0.9879652261734009,
-0.09244367480278015,... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: モスクワ市民は、振動は「あまり強くなかった」が、壁にかけたものが揺れるのには十分だったと言った... | Yes | 5 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.9150946140289307,
0.7144761085510254,
0.08860959857702255,
-0.08492083102464676,
0.32476145029067993,
-0.3763319253921509,
0.761725664138794,
0.9079680442810059,
-0.44486361742019653,
-0.9705509543418884,
-0.03973942995071411,
0.4606631398200989,
-0.7908300161361694,
0.35187798738479614... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
The ocean has properties that allow low-frequency sound to basically move globally.
A: | ان المحيط الذي بقربنا يملك خصائص تجعله ينقل الاصوات ذات التردد المنخفض الى جميع الانحاء كالاتصال الدولي | 7 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.958748996257782,
0.7787911891937256,
-0.5753500461578369,
-0.8172411322593689,
0.023462209850549698,
-0.050735343247652054,
0.07535959780216217,
0.0020514600910246372,
0.05118976905941963,
0.35821276903152466,
-0.3265642523765564,
-0.1987328827381134,
-0.7793534994125366,
-0.17906600236... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
از "" جلو بیرفار "" ، فعال اجتماعی و نوازنده پاپ راک نقل قولی شده که من عاشقش هستم.
A: | Hay una cita del activista y roquero punk Jello Biafra que me encanta. | 7 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.8733955025672913,
0.5410703420639038,
-0.7063066959381104,
0.26750004291534424,
-0.7943142652511597,
0.3876895308494568,
0.7081391215324402,
0.7942299842834473,
0.9891873598098755,
-0.15581299364566803,
-0.6263412237167358,
0.6709040999412537,
-0.8230301737785339,
-0.29286670684814453,
... |
Detailed Instructions: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Q: The site collects your cookies or tracking elements for pers... | Cookies and tracking elements | 9 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.4643467664718628,
-0.20833700895309448,
-0.5400620698928833,
0.2687154710292816,
-0.7521519064903259,
-0.7915482521057129,
0.37563908100128174,
0.21189536154270172,
0.2809267044067383,
0.8556520938873291,
0.515708327293396,
-0.07805664092302322,
-0.28569263219833374,
-0.3302209973335266... |
TASK DEFINITION: In this task, you need to provide the correct option for a given problem on probability from the provided options.
PROBLEM: Problem: there are 4 red shoes & 4 green shoes . if two of red shoes are drawn what is the probability of getting red shoes
Options: a ) 1 / 3 , b ) 1 / 14 , c ) 3 / 14 , d ) 1 /... | d
| 8 | NIv2 | task1424_mathqa_probability | fs_opt | [
0.3352805972099304,
-0.01662515476346016,
-0.7480463981628418,
0.565625786781311,
-0.11570826917886734,
0.5675967335700989,
0.99615478515625,
1.1757984161376953,
-0.03218873590230942,
-0.2168094664812088,
-0.20440539717674255,
0.8044312000274658,
0.8011300563812256,
0.3970193564891815,
0... |
Teacher:Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | « أتريدون أن تُرسلوا قرية إلى السجن ». | 6 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
0.17514601349830627,
0.3662157356739044,
0.42395293712615967,
-1.0128239393234253,
-0.35661551356315613,
0.16223357617855072,
0.7250480055809021,
0.6936565637588501,
0.12803298234939575,
-0.4112949073314667,
-1.0675179958343506,
0.1733347475528717,
-0.9842209815979004,
-0.3710137605667114,... |
Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Input:... | bad | 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | zs_opt | [
-0.7493678331375122,
0.510141134262085,
0.5160017609596252,
-0.4298900365829468,
0.4367918372154236,
0.15441280603408813,
0.2586396336555481,
0.5800160765647888,
0.06917696446180344,
-0.0074083334766328335,
-0.5357140302658081,
0.46095943450927734,
-0.46138015389442444,
-0.3260491788387298... |
instruction:
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive ... | Hate Speech
| 9 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-1.0411596298217773,
0.3196030557155609,
0.054603494703769684,
0.4190122187137604,
-0.2029438614845276,
-0.7558531761169434,
0.24744045734405518,
0.355943500995636,
0.2951817512512207,
0.282243013381958,
-0.3357749283313751,
-0.20019005239009857,
-0.6310178637504578,
-0.9155411124229431,
... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element 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 t... | 7709 | 4 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.14179718494415283,
-0.01973096653819084,
-0.3228139281272888,
-0.42912355065345764,
0.2597939372062683,
-0.42753204703330994,
0.5169735550880432,
-0.1974075585603714,
-0.31822478771209717,
0.2823691964149475,
-1.0503008365631104,
0.00012503191828727722,
0.3578835129737854,
-0.1368909031... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
台湾客家テレビによれば、何人かの専門家が展覧会場で検査した現場での電磁放射の率は、国際標準より確固として高かった。 | Tingkat tempat radiasi elektromagnetik sangat tinggi dibandingkan standar internasional sebagai ahli penguji di pertunjukan bawah, menurut TV Hakka Taiwan. | 0 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.11618414521217346,
0.27676689624786377,
-0.18339556455612183,
-0.201951801776886,
-0.05759289115667343,
-0.6586255431175232,
0.1301390528678894,
0.21692685782909393,
-0.3242013454437256,
0.34945714473724365,
-0.543907642364502,
0.726712703704834,
-1.0407707691192627,
0.81139075756073,
... |
You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
One example is below.
Q: Sentence: GOP leaders submitted the new offer Tues... | He met a witch. | 9 | NIv2 | task051_multirc_correct_answer_single_sentence | fs_opt | [
-0.47943025827407837,
0.6323138475418091,
-0.27130600810050964,
-0.19129300117492676,
-0.752494215965271,
-1.0290298461914062,
0.5075757503509521,
0.348116010427475,
0.47321850061416626,
-0.11713455617427826,
-0.4860837459564209,
-0.017485156655311584,
-0.1717900037765503,
0.01918113417923... |
instruction:
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
question:
'trouble is , we do n't have any idea where the float may be . '
answer:
`` the thing is , we have no idea where the boat... | our planets are self-righteous under the government of humans of our religion .
| 9 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.22384880483150482,
0.8461526036262512,
0.0503760389983654,
-0.8475157022476196,
-0.45718204975128174,
-0.9330304861068726,
1.0768935680389404,
0.18478569388389587,
-0.05413840338587761,
0.07555103302001953,
0.16186797618865967,
0.03299029916524887,
-0.582548975944519,
0.45288723707199097... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Let me give you an example: מונטריי היא אחת מהם.
The answer to this example can be: Monterey is one of those.
Here is why: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונ... | They were also lucky, they said, because they began to dig in a sort of Bermuda Triangle of jurisdiction, between port authority, airport authority, two city districts, and a review board. | 8 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.3018282651901245,
1.0302399396896362,
0.6249054670333862,
-0.25976112484931946,
-0.07403270900249481,
-0.1314401924610138,
0.10497631132602692,
-0.07017813622951508,
1.0607755184173584,
-0.47807466983795166,
-0.8847830891609192,
0.24927353858947754,
-0.6246215105056763,
-0.1374933123588... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ઇન્ડો-રશિયન રાયફલ્સ પ્રા
The answer to this example can b... | 56لاکھ کروڑروپے کے بقدرہواہے، جو گذشتہ برس کی اسی مدت کے دوران ہوئے کلکشن کے مقابلے میں 18. | 8 | NIv2 | task1001_pib_translation_gujarati_urdu | fs_opt | [
-0.3675073981285095,
0.573695182800293,
-0.1488392949104309,
-0.6210107803344727,
-0.07872134447097778,
0.3180627226829529,
0.2799893617630005,
0.38842394948005676,
0.18793070316314697,
-0.35814768075942993,
-0.9397938251495361,
0.07667283713817596,
-0.8491450548171997,
-0.2042818367481231... |
Definition: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answ... | 10721 | 2 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.0402262806892395,
0.1700296550989151,
-1.2249765396118164,
-0.03530449420213699,
-0.4281386137008667,
-0.4868873953819275,
0.458859384059906,
1.3459346294403076,
0.8549289703369141,
-0.0008915982907637954,
-0.5894599556922913,
-0.4630495309829712,
0.20639678835868835,
-0.0412403084337711... |
Given the task definition and input, reply with output. In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "no... | not plausible | 5 | NIv2 | task392_inverse_causal_relationship | zs_opt | [
-1.0523041486740112,
1.0388827323913574,
0.9705758094787598,
-0.26965272426605225,
-0.07822231203317642,
0.26782771944999695,
-0.36460596323013306,
0.6498291492462158,
0.561394214630127,
0.3015417456626892,
-0.13824638724327087,
0.29191017150878906,
-0.14829722046852112,
-0.341325461864471... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 8 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.1973629593849182,
0.6018654108047485,
0.164005309343338,
-0.3170619010925293,
-0.308316707611084,
-0.4761223793029785,
1.353930950164795,
0.4448409080505371,
-0.3087772727012634,
-0.5791952610015869,
-0.44589346647262573,
-0.19099214673042297,
-0.64142906665802,
0.3606509864330292,
0.8... |
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.
Ex Input:
ભારત વિશ્વની છઠ્ઠી મોટી અર્થવ્યવસ્થા બની ચૂક્યું છે. પાંચ વર્ષ પહેલા તે 11માં સ્થાને હતુ.
Ex Output:
భారత్ నేడు ప్రపంచంలో 6వ అతిపెద్ద ఆర్థిక... | --కేటగిరీ 2 ప్రత్యామ్నాయ పెట్టుబడి నిధుల కు సంబంధించిన షేర్ల విలువ విషయం లో ఎలాంటి పరిశీలన ఉండదు.
| 1 | NIv2 | task1013_pib_translation_gujarati_telugu | fs_opt | [
-0.12072229385375977,
0.7696539163589478,
0.5751261115074158,
-0.12947073578834534,
0.13864004611968994,
-0.9587571620941162,
0.08549559861421585,
0.6505438089370728,
-0.010694378055632114,
0.009886907413601875,
-0.35363316535949707,
-0.10577477514743805,
-0.7104630470275879,
0.00105355517... |
Definition: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Input: ['I', 4247, 'i', 8555, 'k', 2125, 1391, 'v', 1955, 1691, 6831, 2311, 'P', '5793', '4761', 'J', 'Q', 'P', 'm', '8677', '6461', 'N', '6433', '433', 'x', '2969', 'e', '7061', '8815', 'o', 'y', 'D', '8397... | P, 5793, 4761, J, Q, P, m, 8677, 6461, N, 6433, 433, x, 2969, e, 7061, 8815, o, y, D, 8397, 6559, i, 3499, B, N, 4749, d, 5069, Z | 2 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
0.12670135498046875,
0.007905710488557816,
-0.25839948654174805,
-0.41593149304389954,
-0.3699757158756256,
-0.08151301741600037,
0.908719539642334,
0.5288100838661194,
-0.4715569019317627,
0.3474099934101105,
-0.7962515354156494,
0.286268025636673,
-0.2884359359741211,
0.29227694869041443... |
Teacher: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1 3/4 cups all purpose flour, 1/4 cup finely ground blan... | tilapia fillet, unblanched almond, breadcrumbs, garlic salt, black pepper, Italian parsley, canola oil, mustard | 2 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.010514289140701294,
0.122508205473423,
0.024961981922388077,
0.4573116898536682,
-0.08215397596359253,
-0.7672864198684692,
0.7131487131118774,
0.6043553352355957,
-1.013132095336914,
0.04708361253142357,
0.15532374382019043,
-0.10641555488109589,
-0.7960906028747559,
-0.134540200233459... |
Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [84, 50, -19]
Output: | [50, -19] | 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.09621772915124893,
0.03419899195432663,
-0.856611967086792,
-0.7802374958992004,
0.2216537445783615,
0.00824006088078022,
1.523951768875122,
0.09399940073490143,
-0.27208012342453003,
0.22250349819660187,
-0.6557632088661194,
0.1745893657207489,
0.26067137718200684,
-0.7667388916015625,
... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Jednak jako profesor matematyki muszę przyznać, że niewielu ludzi używa całek na co dzień w świadomy, znaczący sposób.
Output: | Pero estou aquí para dicir, como profesor de matemáticas, que moi pouca xente usa o cálculo de xeito consciente e relevante na súa vida diaria. | 3 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.8278136253356934,
1.1075245141983032,
-0.33260223269462585,
-0.7486266493797302,
-0.24124592542648315,
-1.4524757862091064,
0.8519179821014404,
0.39720648527145386,
-0.7785336375236511,
-0.7196847796440125,
-0.22708651423454285,
0.20838460326194763,
-0.6472609639167786,
0.17645236849784... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
[Q]: Your better off with a $1 whistle over this. This does not work at all.
[A]: Thing never worked. Threw away the box ended up throwing it away
[Q]: I would have preferred to give this eyeliner 1 1/2 sta... | Never Received Product - Seller Shipped to Wrong Address
| 5 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.1623454988002777,
0.4139755964279175,
0.008235432207584381,
-0.6557343006134033,
0.7893785834312439,
-0.15228424966335297,
-0.8509795665740967,
1.10382080078125,
-0.25657063722610474,
0.4312971234321594,
-0.09155598282814026,
-0.034681033343076706,
-0.353877454996109,
-0.715468347072601... |
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 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 neither agree nor contradict each other. Genera... | They are at an airshow. | 0 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.05604662746191025,
0.26514333486557007,
-0.03928385674953461,
-0.46959540247917175,
0.1670275330543518,
-0.5368107557296753,
0.19921031594276428,
0.8757275342941284,
0.09723812341690063,
-0.09318885207176208,
-0.8030456304550171,
-0.28546255826950073,
-0.7291518449783325,
-0.23124805092... |
Detailed Instructions: You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions tha... | Name at least one factor of climate? | 8 | NIv2 | task048_multirc_question_generation | zs_opt | [
0.48559778928756714,
0.26334065198898315,
-0.6067981719970703,
0.2674192786216736,
0.04876776039600372,
-1.1101802587509155,
0.701741099357605,
0.7340660691261292,
-0.07183189690113068,
-0.440936803817749,
-0.532740592956543,
-0.11767512559890747,
-0.7992651462554932,
-0.05674071982502937,... |
instruction:
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
question:
Event:PersonX ends PersonX's career. Intent: 1) to reward them
answer:
Positive
question:
Event:PersonX is fast asleep. Inten... | Unknown
| 9 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.9001122713088989,
0.09657064080238342,
0.2246653139591217,
-0.43241626024246216,
-0.6024338006973267,
-0.996026873588562,
0.7494081854820251,
0.3721930682659149,
0.38218745589256287,
-0.2707931399345398,
-0.026364125311374664,
0.0969858467578888,
-0.3798801302909851,
-0.1785727739334106... |
Teacher:You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to ... | Of the two owners, PersonX was far worse than PersonY, because _ like to beat the dogs. | 6 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
-0.23451584577560425,
0.5478861331939697,
0.1374768614768982,
-0.21336369216442108,
-0.03806282579898834,
-0.11209622025489807,
0.4991665482521057,
0.9980733394622803,
0.4059435725212097,
-0.7374618053436279,
-0.013243862427771091,
0.09399023652076721,
-0.3810534179210663,
-0.5920393466949... |
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