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 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: JkbloNUq, nYblowj
Example solution: b, j, k, l, n, o, q, u
Example explanation: Here, 'JkbloNUq' is the longer string am... | Solution: b, d, e, f, g, i, j, l, n, o, q, r, s, t, u, w, x, z | 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.2584443986415863,
1.3408927917480469,
-0.6362144947052002,
-0.774443507194519,
-0.04751955717802048,
-0.011141786351799965,
1.0805476903915405,
-0.20047971606254578,
-0.18208706378936768,
0.49604862928390503,
0.031206903979182243,
-0.19615505635738373,
-0.3838101625442505,
0.19025740027... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Gettoizacja okazała się czynnikiem, który wywołał wojnę.
Student: | Este urbanismo empobrecido provou ser um precursor tangível da guerra. | 6 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.3819076418876648,
0.7594845294952393,
0.06100349500775337,
-0.4921501874923706,
-0.4989955723285675,
-0.9657818675041199,
-0.25256288051605225,
1.0439598560333252,
0.5989521145820618,
-0.41223347187042236,
-0.12980511784553528,
-0.1621452271938324,
-0.9618687629699707,
-0.51905071735382... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
その判決はグロクスターやストリームキャストのような会社に影響を及ぼしており、そのどちらもこの訴訟での被告だった。
Ex Output:
Nagkakabisa ang pasya sa mga kompanya katulad ng Grokster at Strea... | "Ito ay naging isang madamdaming araw ngayon, pero sa termino ng aking tatlong buwan sa pangangalaga, ito'y naging isang napakagandang karanasan."
| 1 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.3278542160987854,
-0.6467474699020386,
-0.20908930897712708,
-0.6161094903945923,
-0.11391495168209076,
-0.329159677028656,
0.3044288158416748,
0.847658097743988,
-0.11673840880393982,
-0.34097766876220703,
-0.6493642330169678,
0.26594746112823486,
-0.21427926421165466,
-0.1483211666345... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Q: Article: Short Skirts Are Out! After decades of skimpy skirts... | According to the new dress codes for cheerleaders in some American schools, _ . | 4 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.46743178367614746,
0.027577653527259827,
-0.8422556519508362,
0.38060444593429565,
0.5852805972099304,
-0.5513609647750854,
-0.5559889078140259,
1.1012742519378662,
-0.49461328983306885,
-0.30149245262145996,
-0.6551342010498047,
0.6113519072532654,
-0.5108523368835449,
-0.32261872291564... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Il vedere con il cervello si chiama spesso immaginazione.
Student: | E ver com o cérebro é muitas vezes apelidado de imaginação. | 6 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.4221991300582886,
0.5935128927230835,
0.8861656188964844,
-1.4001295566558838,
-0.8075259327888489,
-0.5675466060638428,
-0.6629965305328369,
0.6311130523681641,
0.4595370590686798,
-0.42525649070739746,
-0.19565099477767944,
-0.48716142773628235,
-0.5135869979858398,
-0.010576629079878... |
Detailed Instructions: 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, indu... | pet products | 8 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.3570254445075989,
-0.2182380110025406,
-0.21127597987651825,
0.12251666188240051,
0.1800956428050995,
0.4782562851905823,
-0.23759783804416656,
0.5803260803222656,
0.06486081331968307,
0.06170539930462837,
0.2245635986328125,
0.46331313252449036,
-0.3794821500778198,
-0.2883360981941223... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | 1/153
****
| 4 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.6294021606445312,
0.6345256567001343,
-0.14555326104164124,
-0.5876534581184387,
0.5415875911712646,
-0.07726907730102539,
1.1781727075576782,
0.5487208366394043,
-0.39358752965927124,
-0.8735112547874451,
-0.783470094203949,
-0.19261707365512848,
-0.1215793639421463,
-0.242385983467102... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "m... | Solution: Where does the conversation most likely take place? (A) In a taxi. (B) On a bus. (C) On a train. | 5 | NIv2 | task246_dream_question_generation | fs_opt | [
0.3243432641029358,
-0.33842039108276367,
-0.13329920172691345,
-0.10076455771923065,
0.4818902611732483,
-0.2951778173446655,
0.6224240064620972,
0.8090434074401855,
-0.029991954565048218,
0.1781785786151886,
-0.5406697988510132,
-0.5134081244468689,
0.9463715553283691,
-0.077634081244468... |
You are given a geometric mathematical question. Questions in this task often involve shapes and Geometric Relationships. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematic... | D | 0 | NIv2 | task119_semeval_2019_task10_geometric_mathematical_answer_generation | zs_opt | [
0.21194547414779663,
1.2719868421554565,
-0.2301061898469925,
-0.8960350751876831,
-0.23861297965049744,
-0.28017693758010864,
0.8488427400588989,
0.6938670873641968,
0.05133764445781708,
-0.4121057987213135,
-0.8323947191238403,
0.4448634386062622,
0.1926765888929367,
-0.4482032060623169,... |
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.
Input: PersonX buys PersonX's own house
Output: | to live on their own | 2 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.33943241834640503,
0.43142396211624146,
-0.1846695840358734,
-0.03643880411982536,
-0.18354195356369019,
-0.17956814169883728,
0.4295370578765869,
0.2778022885322571,
0.06760251522064209,
-0.09974624216556549,
-0.3707949221134186,
-0.09045617282390594,
-0.5270482301712036,
0.31330618262... |
Definition: 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 orientatio... | Identity-attack | 2 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.7473105788230896,
0.19449056684970856,
0.36445820331573486,
0.8647297620773315,
0.0017012606840580702,
-0.37355899810791016,
0.5655797719955444,
0.0477314293384552,
0.7365496158599854,
0.0767725259065628,
-0.3143869638442993,
-0.6568557024002075,
-0.5398920774459839,
-1.0515689849853516... |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Part 2. Example
તેમણે કહ્યું કે ભિલાઈ સ્ટીલ પ્લાન્ટે દેશના નિર્માણમાં સિંહફાળો આપ્યો છે
Answer: उन्होंने कहा कि भाई इस्पात संयंत्र ने ... | मदुरै चिन्ना पिल्लई वही शख्सियत हैं, जिन्होंने सबसे पहले तमिलनाडु में कलन्जियम आन्दोलन के जरिए पीड़ितों और शोषितों को सशक्त करने का प्रयास किया। साथ ही समुदाय आधारित लघु वित्तीय व्यवस्था की शुरुआत की। | 7 | NIv2 | task1033_pib_translation_gujarati_hindi | fs_opt | [
-0.40374231338500977,
0.701655387878418,
0.0007940242066979408,
-0.10037585347890854,
-0.16276824474334717,
-1.002973198890686,
0.39394181966781616,
0.4921039342880249,
-0.20484589040279388,
0.3417525589466095,
-0.8518750667572021,
-0.4414249360561371,
-0.2393118292093277,
0.21204629540443... |
Teacher:You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambigu... | surprise | 6 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.8571428060531616,
0.030236253514885902,
0.08071739226579666,
-0.42333948612213135,
-0.952466607093811,
-0.30288320779800415,
0.2698819637298584,
1.2265424728393555,
-0.37141042947769165,
-0.33698001503944397,
-0.8509001731872559,
-0.14994902908802032,
-0.5389463901519775,
0.254633545875... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Comment: Agree that Bannon's pushing to get out of the Paris Accord was a terrible move.
"Cli... | Insult | 0 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
0.4065874218940735,
0.3939928710460663,
0.06511081755161285,
0.057343922555446625,
-0.4941938519477844,
-0.8156740069389343,
0.8954966068267822,
0.5066424608230591,
-0.046739738434553146,
0.34267568588256836,
-0.3474962115287781,
0.5108402967453003,
-0.22216033935546875,
-0.135540544986724... |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می شود.
Solution: In the southwestern part of Nigeria, the plant i... | In fact, he observed that many with the fortune of being born American were nonetheless trapped in lives that made second chances like his impossible. | 2 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.7120093107223511,
-0.1591009795665741,
0.2393120527267456,
-0.1233988106250763,
-0.15895003080368042,
-0.5524278879165649,
0.904137372970581,
0.1018192321062088,
-0.044125188142061234,
0.25995534658432007,
-0.9261840581893921,
0.15726488828659058,
-0.9370687007904053,
0.4289293289184570... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Q: My girlfriend found herself in an irritating situation.
A: | anger | 4 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.7657018303871155,
0.294725626707077,
0.5554596185684204,
-1.0070693492889404,
-0.11326777189970016,
-0.4084720313549042,
0.5988381505012512,
0.46867984533309937,
0.4801603853702545,
-0.4650386571884155,
-0.7498217821121216,
-0.7255222797393799,
-0.2659350633621216,
-0.14993083477020264,... |
TASK DEFINITION: Translation from English to Telugu.
PROBLEM: Trying to make a dollar.
SOLUTION: ఒక డాలర్ చేయడానికి ప్రయత్నిస్తోంది.
PROBLEM: Jeez, Angus, I couldn't do any worse than you.
SOLUTION: Jeez, అంగస్, l మీరు కంటే ఏ పరిస్థితి కాలేదు.
PROBLEM: - THERE WE GO.
SOLUTION: | -అక్కడWE GO
| 8 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
0.13149940967559814,
0.19475291669368744,
0.03006858006119728,
0.4406321048736572,
-0.5778756141662598,
-0.14290755987167358,
0.3807626962661743,
0.2780291736125946,
-0.40371739864349365,
0.04281822592020035,
-0.3254642188549042,
-0.050808414816856384,
-0.827243447303772,
0.024212388321757... |
TASK DEFINITION: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
PROBLEM: BBC Beijing producer Xinyan Yu was among the first journalists... | Harvester owner says it needs more cash to survive lockdown
| 8 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.2423080950975418,
0.8549699783325195,
-0.5644024610519409,
-0.06330860406160355,
0.2377730756998062,
0.23336225748062134,
0.0025589046999812126,
0.07370886206626892,
0.2601338028907776,
0.651800274848938,
-0.13272635638713837,
0.8905912041664124,
-0.7336282730102539,
0.16738343238830566... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Q: Context: Addison worked really hard and practiced every day. Addison... | No | 4 | NIv2 | task579_socialiqa_classification | zs_opt | [
0.24768562614917755,
0.20909535884857178,
0.635089635848999,
0.04109729826450348,
0.2298254370689392,
-0.3811119794845581,
0.24509434401988983,
0.25259801745414734,
0.2238340675830841,
-0.14786842465400696,
-0.2837870717048645,
-0.32490789890289307,
-0.27399682998657227,
-0.608885169029235... |
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... | To what areas has Melbourne dedicated substantial international investment? | 1 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
-0.008284259587526321,
1.4362308979034424,
0.0037017392460256815,
-0.596976637840271,
0.09334401041269302,
0.5007293820381165,
0.5100525617599487,
1.1786234378814697,
0.27727895975112915,
-0.05849922448396683,
-0.31959888339042664,
0.5501691102981567,
-0.5049059391021729,
-0.22251312434673... |
Detailed Instructions: In this task, you need to count the number of nouns/verbs in the given sentence.
Problem:Sentence: 'A woman playing tennis and preparing to hit the ball'. Count the number of nouns in this sentence.
Solution: | 3 | 8 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.08532492816448212,
0.8145697116851807,
-1.422166109085083,
0.25643324851989746,
-0.6206110715866089,
-0.10507833957672119,
0.11745087802410126,
0.6419519186019897,
0.5757632255554199,
-0.5273878574371338,
-0.3549511432647705,
0.147710919380188,
-0.5207874178886414,
-0.014119694009423256... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Q: Context_1 : Rolling papers (aka Blanks) are small sheets, rolls, or leaves of paper, inve... | Rashad alShawwa was the Palestinian mayor of a city that has been inhabited since what century?
****
| 4 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.572551429271698,
0.02118135429918766,
-0.7056913375854492,
-0.045288823544979095,
0.9207780361175537,
-0.4032118618488312,
0.29763364791870117,
1.484163761138916,
-0.6651514172554016,
0.7127525806427002,
-0.2590063810348511,
0.559529185295105,
-0.06762433797121048,
0.3684552013874054,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
One example: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escola... | ولديها مدراء داخلها والكثير الكثير من الأشياء الأخرى. | 6 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.41834914684295654,
0.3550146818161011,
-0.3897401988506317,
-0.1366276741027832,
-0.5562431812286377,
-0.3219456374645233,
0.7138498425483704,
0.548311710357666,
-0.07016736268997192,
-0.23455636203289032,
-0.3569725751876831,
0.31587404012680054,
-0.7358101606369019,
-0.062179125845432... |
Instructions: In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Input: Yup
Output: | I've put that on your calendar. | 3 | NIv2 | task1603_smcalflow_sentence_generation | zs_opt | [
-0.2761613130569458,
0.3255475163459778,
-0.6949240565299988,
-0.24030399322509766,
-0.12112237513065338,
-0.959414005279541,
0.54026198387146,
0.286579966545105,
0.6512206196784973,
-0.16182608902454376,
-0.24439390003681183,
0.1863020658493042,
-0.7145457863807678,
0.11629173159599304,
... |
Given the task definition and input, reply with output. Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Of 24 health apps in the BMJ study, 19 shared user data with companies, including Facebook, Google and Amazon. It warns this could then be passed ... | Using popular health apps could mean private information about medical conditions is not kept confidential, researchers warn. | 5 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
-0.4983239471912384,
0.5570576786994934,
-0.8153960704803467,
-1.3961036205291748,
-0.5908408164978027,
-0.2503683865070343,
0.2453092783689499,
0.1839655041694641,
-0.07341483235359192,
0.201942577958107,
-0.10517896711826324,
0.7202768325805664,
-0.7069551348686218,
-0.5337741374969482,
... |
Q: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun... | ( in billions of yen unless specified ) | 7 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.6117162704467773,
0.35274094343185425,
0.03589482232928276,
-0.2260621190071106,
-0.15503725409507751,
-0.09534703195095062,
0.873989462852478,
-0.11545316874980927,
-0.21676567196846008,
-0.6033817529678345,
-0.44322335720062256,
-0.31196343898773193,
-0.19172394275665283,
0.3401581048... |
Q: In this task, you need to Translate Czech text to English.
Vynález se týká ocelová dveřní zárubné pro dodatečné osazování do hotových dveřních otvorů ve stěnách budov, která Je zhotovena ze dvou stejných rámů /1,2/ z úhelníkového profilu, jejichž strany, které překrývají ostání /3/ dveřního otvoru Jsou ukončeny... | The invention relates to a steel door frame for additional installation in finished doors holes in the walls of the buildings that is made from two identical frames / 1,2 / from angular profile whose sides overlap Remaining / 3 / Door Opening Are Outside bent edges (5) which, when fitted with a frame they lie on... | 7 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.48305875062942505,
1.259005069732666,
-0.6374837160110474,
0.3231261372566223,
0.006618426647037268,
0.2578274607658386,
0.4782014489173889,
0.9600520133972168,
0.7912339568138123,
0.2032482624053955,
0.03335803002119064,
-0.07301302254199982,
-0.6519789099693298,
0.24283713102340698,
... |
Definition: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, ... | [256, 1024, 4096, 4096] | 2 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.7701611518859863,
1.112774133682251,
-0.2128359079360962,
0.007853250950574875,
-0.2288690209388733,
-0.03922001272439957,
0.5489076375961304,
-0.012911016121506691,
-0.05269227921962738,
0.198720321059227,
-0.7739290595054626,
0.4423549473285675,
-0.40847885608673096,
-0.17894175648689... |
Definition: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Reviews: What a waste of money. ... | False | 2 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.0633993148803711,
0.2961964011192322,
-0.44324547052383423,
0.00240114564076066,
-0.2721099853515625,
0.307702898979187,
0.9735249280929565,
0.40559715032577515,
0.2755787968635559,
0.17249904572963715,
-0.7887346148490906,
0.3510516583919525,
-0.27565088868141174,
-0.05837724357843399,... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | dinner plates | 4 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.2786881923675537,
0.38678106665611267,
-0.5429375171661377,
-0.18009288609027863,
-0.7315293550491333,
-0.3303927183151245,
1.0551724433898926,
0.8292328119277954,
0.11627381294965744,
0.32329171895980835,
0.46358123421669006,
-0.006013101432472467,
-0.559207558631897,
0.0873134359717369... |
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse... | A naked woman playing the flute. | 7 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.6220071315765381,
0.4671376347541809,
0.28159618377685547,
-0.243610680103302,
0.6677495837211609,
-0.4576531648635864,
-0.31517326831817627,
0.6841397285461426,
0.43122297525405884,
-0.10405505448579788,
-0.9754060506820679,
-0.3305426239967346,
-0.6146714687347412,
-0.4805275201797485... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | Solution: 1 | 5 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.39181166887283325,
0.228052020072937,
0.1397171914577484,
0.0902707502245903,
0.23095577955245972,
-0.5316251516342163,
-0.012467837892472744,
0.8083879947662354,
0.3690148591995239,
-0.24495330452919006,
-0.5490674376487732,
-0.24686308205127716,
-0.2302301973104477,
-0.4709106981754303... |
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'.
Q: (A) reporting a guy who dropped an I.O.U into the collection bin for money that pays for frozen foo... | A | 4 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.33398428559303284,
0.486061155796051,
0.024884289130568504,
-0.11859451234340668,
-0.36879485845565796,
0.11035487055778503,
-0.20420773327350616,
0.3254109025001526,
-0.07891242951154709,
0.4144893288612366,
-0.3349123001098633,
-0.3651154935359955,
0.32705414295196533,
-0.567932724952... |
In this task, you will be presented with a question having multiple possible answers in Arabic language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
[EX Q]: Question: في الصباح تعود إلى العمل ، في المساء أنت؟
Options: A احصل على حياة B اترك الع... | E
| 6 | NIv2 | task1142_xcsr_ar_commonsense_mc_classification | fs_opt | [
-0.10319041460752487,
0.05208822339773178,
-0.38095131516456604,
-0.08012333512306213,
-0.6264440417289734,
-0.17385844886302948,
0.7588638067245483,
0.5853569507598877,
0.03968264162540436,
-0.34935683012008667,
-0.8473278284072876,
0.1499006748199463,
-0.33027952909469604,
-0.57858896255... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
See one example below:
Problem: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Solution: (Applause) However there is a political battle in our country.
Explanation: The Arabic sentence is correctly transla... | There's no problems. | 4 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
0.5900262594223022,
0.5697800517082214,
0.6216627359390259,
-0.7607601881027222,
-0.044595807790756226,
-0.29151836037635803,
0.673904538154602,
-0.2271760106086731,
0.07440917193889618,
0.23096036911010742,
-0.6343100070953369,
-0.059226781129837036,
-0.7732006907463074,
0.175176143646240... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
****
| 4 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.2910724878311157,
-0.13249623775482178,
-0.9259073734283447,
0.22959116101264954,
0.3032131791114807,
-0.5414397716522217,
0.6273018717765808,
0.8650525212287903,
-0.7239032983779907,
0.2749151885509491,
0.01178302988409996,
0.5131587982177734,
-0.20708265900611877,
0.16730470955371857,
... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Part 2. Example
Wszystko jest robione pomiędzy żebrami.
Answer: 全て肋骨の間から行うのです
Explanation: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise
Myśl... | 若者は ― ハーバード・ビジネス・スクールの私の学生は理解してきています | 7 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
0.331518292427063,
0.5387470722198486,
-0.25438517332077026,
-0.3749803304672241,
0.15962433815002441,
-0.1014774739742279,
1.2823967933654785,
-0.6277267932891846,
-0.09072375297546387,
-0.8394361734390259,
-0.11910061538219452,
0.6048217415809631,
-0.9349761009216309,
0.505481481552124,
... |
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... | Solution: Our granddaughter's glove falls off >Causes> Our granddaughter feel(s) annoyed | 5 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.23740029335021973,
0.8198304772377014,
-0.4389173984527588,
0.19651417434215546,
-0.388394296169281,
-0.812650740146637,
0.5767490863800049,
0.7097293734550476,
-0.205515056848526,
-0.12656661868095398,
-0.6945602893829346,
0.9582163691520691,
-0.25381892919540405,
-0.06496831774711609,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and nou... | March 23,2008 after 1 and half month of the criticism to him by the raj, he said to reporters that the instantly criticism are always instant and it should be avoided. | 1 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.31724247336387634,
-0.09982335567474365,
0.49197760224342346,
0.019163042306900024,
-0.12548097968101501,
0.1787281036376953,
0.38043373823165894,
-0.2809998095035553,
0.11427997797727585,
-0.48846668004989624,
-0.683060884475708,
0.3693651854991913,
-0.5243135690689087,
0.0122045781463... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.3065827786922455,
0.5084452629089355,
0.06921090185642242,
-0.3659204840660095,
-0.6310089826583862,
-1.0434792041778564,
1.3358941078186035,
0.4880380630493164,
-0.5344234704971313,
-0.28653937578201294,
-0.8028494715690613,
-0.29401862621307373,
-0.34137481451034546,
0.1285770535469055... |
Given the task definition and input, reply with output. The task is to generate the correct answer for a given math problem.
Problem: what is the value of n if the sum of the consecutive odd intergers r from 1 to n equals 169 ?
| 25 | 5 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.49216267466545105,
0.9185760021209717,
0.2859756350517273,
-0.6713325381278992,
-0.21725264191627502,
1.0031421184539795,
0.1812061071395874,
-0.3668175935745239,
-0.012935460545122623,
-0.14971157908439636,
-0.37038978934288025,
-0.14204412698745728,
-0.43466460704803467,
-0.16708026826... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Ex Input:
Great product, easy to install just plug it and start using it, beautifuly soundless. I use it to work enhancing photos with Photoshop. When cleaning a photo from dust or scratches I need to click many times in a row so ... | Positive Review
| 1 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
-0.3983868360519409,
-0.26070329546928406,
-0.5388878583908081,
0.24949845671653748,
0.28755223751068115,
-0.4282881021499634,
0.31926995515823364,
0.9199844598770142,
0.6321810483932495,
0.7564225196838379,
-0.004779648035764694,
-0.3057829737663269,
0.2945842444896698,
-0.455795049667358... |
instruction:
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
question:
Post: @AnnCoulter From... | Generic
| 9 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-0.41760027408599854,
0.598431408405304,
0.5503498315811157,
0.5448224544525146,
-0.27392393350601196,
-0.7466994524002075,
-0.00990454014390707,
0.49592524766921997,
-0.16243168711662292,
0.6710290908813477,
-0.28958576917648315,
0.6982318162918091,
-0.32981353998184204,
-0.64126861095428... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No | 4 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.16409513354301453,
0.5353049635887146,
0.3287946581840515,
-0.38120096921920776,
-0.6500085592269897,
-1.0192919969558716,
1.3084551095962524,
0.054884810000658035,
-0.4439031481742859,
-0.7331867218017578,
-0.16561037302017212,
-0.3504478931427002,
-0.8963648080825806,
0.542917251586914... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Which former Education (and Transport) Secretary is MP for Bolton West? | bolton west | 0 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
-0.18944132328033447,
0.7016104459762573,
0.24844592809677124,
-0.5660642385482788,
-0.15720400214195251,
-0.9048869609832764,
0.5748151540756226,
0.14154407382011414,
-0.5360555648803711,
-0.6530032753944397,
0.0039030667394399643,
0.6176983714103699,
0.5855967998504639,
-0.01757745817303... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
--------
Question: それから写真を撮り通りにあるソファを描きました
Answer: ואז צילמתי וציירתי ציור של ספה ברחוב.
Question: 皆さんが考えているほど厳格なダイエットではありません病を治すにはある程度厳しいダイエットが必要ですが
Answer: התגובה הנפוצה לדיאטה שעליה אני ממליץ, היא שזו דיאטה מאד נוקש... | אפשר לפצל את דרום אסיה כאן. הודו היא הבועה הגדולה במרכז.
| 7 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.4043806195259094,
0.0077153826132416725,
-0.15057963132858276,
0.04822032153606415,
-0.46740812063217163,
0.32628560066223145,
0.21272236108779907,
0.23266546428203583,
-0.07422345876693726,
-0.48604342341423035,
0.03467715531587601,
0.4681504964828491,
-0.4435645043849945,
0.3823995888... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
人間は、影響を受けた水が風や波に取... | Humans can be affected by breathing affected water taken into the air by wind and waves. | 5 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.36245450377464294,
0.9026978611946106,
0.332195520401001,
-0.6765132546424866,
0.17662137746810913,
-0.6460467576980591,
0.4702507555484772,
0.21853488683700562,
0.014790628105401993,
-0.3075309991836548,
-0.19186453521251678,
0.28625956177711487,
-0.9497389793395996,
-0.207487314939498... |
Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level resear... | background | 3 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.14361265301704407,
0.2770749032497406,
0.32703810930252075,
-0.46336477994918823,
0.11474978923797607,
-0.06880669295787811,
0.5412008166313171,
0.4625818431377411,
0.0984102264046669,
-0.14846906065940857,
-1.2513740062713623,
0.16807568073272705,
-0.6580520272254944,
0.109926402568817... |
instruction:
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
question:
CONTEXT: La arqueología bíblica y la Iglesia católica
Las excavaciones e investi... | a pocos kilómetros de las costas de Taiwán
| 9 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.755364716053009,
0.10917665809392929,
-1.0574581623077393,
0.29766637086868286,
0.6314631104469299,
-0.6140156388282776,
0.66719651222229,
0.9862574338912964,
-0.2299509346485138,
0.580274224281311,
0.11299078166484833,
0.4332517385482788,
-0.5645045042037964,
0.35120144486427307,
-0.3... |
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example input: Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલ... | ભારત | 3 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.17574793100357056,
0.9067007899284363,
0.29905539751052856,
-0.37508368492126465,
-0.26211756467819214,
0.1072547510266304,
0.046617381274700165,
0.9624953866004944,
-0.5916606187820435,
0.10229724645614624,
-0.38626593351364136,
0.446441113948822,
-0.3097798526287079,
-0.092886820435523... |
Q: Given a sentence in Chinese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
这座城市坐落在蛇河（Snake River）与伟大的威瑟河（Weiser River）的交汇处，这条河与俄勒冈州（Oregon）接壤。
A: | La ciudad se encuentra en la confluencia del río Snake y el río Great Weiser, que marca la frontera con Oregon. | 7 | NIv2 | task810_pawsx_chinese_spanish_translation | zs_opt | [
-0.35730189085006714,
1.3251765966415405,
-0.38852906227111816,
-0.5530911684036255,
0.11822820454835892,
0.18323637545108795,
-0.2002418488264084,
0.839900016784668,
0.6887550950050354,
-0.625809907913208,
0.676241397857666,
0.04305480793118477,
-1.0654886960983276,
-0.29770535230636597,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
संगम... | Hindi | 5 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.7783429622650146,
0.7194570899009705,
0.6821475028991699,
-0.24805337190628052,
0.05637320131063461,
-0.7366288304328918,
-0.02921854704618454,
0.15690827369689941,
0.01736794039607048,
-0.335648775100708,
-0.07260558009147644,
0.4613840579986572,
0.17787495255470276,
0.0715393275022506... |
In this task, you're given a passage, 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 passage and link information to create the q... | Of the musical acts Vixen toured with, which one has been active the longest?
| 7 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.7180611491203308,
0.36293521523475647,
-1.35667884349823,
0.4541347026824951,
0.49583926796913147,
0.11695289611816406,
0.6001322269439697,
0.9987359046936035,
0.3358670175075531,
0.1584368646144867,
0.17739556729793549,
0.08443836867809296,
-0.7295581102371216,
0.09680236130952835,
-0... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
One example: The sound seems really good but sometimes it cuts in and out which is annoying.... | Good Review | 6 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.6629982590675354,
0.055992353707551956,
-0.12739013135433197,
0.011648695915937424,
0.3582737147808075,
-1.176354169845581,
0.6931157112121582,
0.9881488680839539,
-0.11526565253734589,
0.6640148758888245,
-0.17018058896064758,
0.11102301627397537,
-0.35549813508987427,
-0.4151145815849... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: ຖະໜົນດາວນີ້ງແມ່ນຄາດວ່າຈະຖືກວາງໃຫ້ຈັດສັນສະຖານທີ່ໃນວັນຕໍ່ໄປ.
[EX A]: ダウニング街も今日後ほどこの計画を追認するものと予想されている。
[EX Q]: ເດັນນິສ ລີ ໂຮບເປີ້ ລາວເກີດ ໃນວັນທ... | 午前8時30分から午後4時まで15分おきに運行した。
| 6 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.9417723417282104,
0.022500216960906982,
-0.46918991208076477,
-0.2546980381011963,
-0.2513176500797272,
-0.5519322156906128,
0.38351765275001526,
0.08214953541755676,
0.23394528031349182,
-0.6570489406585693,
-0.8268762230873108,
0.6592864990234375,
-0.688102662563324,
0.080625399947166... |
Teacher: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 ... | PROPN | 6 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6576706171035767,
0.2334577590227127,
-0.04311695694923401,
-0.14814724028110504,
0.09713496267795563,
-0.594273567199707,
0.6073805093765259,
0.7635943293571472,
-0.3785717487335205,
-0.26906323432922363,
-0.30936306715011597,
0.21809382736682892,
-0.6500340700149536,
0.4796079397201538... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_cupboard
****
| 4 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
-0.4436954855918884,
-0.259941041469574,
-0.3762055039405823,
-0.004842780530452728,
-0.6165672540664673,
-0.6853445768356323,
0.14198105037212372,
0.5832865834236145,
0.12552699446678162,
0.14475104212760925,
-0.4281521439552307,
0.22992119193077087,
-0.37032750248908997,
0.04104446619749... |
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 ... | RT158636977669092U753637199249HX5697F | 4 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
0.10718117654323578,
0.4264221787452698,
-0.4044836163520813,
-0.3695284128189087,
-0.04814078286290169,
0.23881405591964722,
0.3681311011314392,
0.21570980548858643,
-0.430145263671875,
0.11033022403717041,
-1.2472903728485107,
-0.17113780975341797,
0.22491346299648285,
-0.067074358463287... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | Tôi nhìn xuống dưới cái ghế và tìm thấy một con chuột.
| 7 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
-0.7588593363761902,
0.24453629553318024,
0.05058375373482704,
0.0458022840321064,
0.02143104560673237,
-1.0438860654830933,
0.285241961479187,
1.2248761653900146,
0.10192753374576569,
-0.22427208721637726,
-0.20593032240867615,
0.11806107312440872,
-0.17903323471546173,
-0.256930887699127... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | happiness,happiness,happiness,happiness,happiness,happiness,No emotion,No emotion,No emotion,No emotion,No emotion,happiness,happiness,happiness,happiness
****
| 4 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.23421040177345276,
0.2836122512817383,
0.02243887446820736,
-0.016371825709939003,
0.6319571733474731,
-0.6877336502075195,
0.7337223291397095,
0.6467086672782898,
-0.20841045677661896,
0.2586742341518402,
-0.00781457219272852,
0.3512047529220581,
-0.30951035022735596,
0.1559698730707168... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : Rear Admiral Charles Stillman Sperry (3 September 1847 -- 1 February 1911) was an officer in the United States Navy.
Question : Which military did Charles Stillman Sperry serve with?
A: United States Navy
****
Q: C... | University of Michigan
****
| 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.3283507823944092,
0.251099169254303,
-0.8902931213378906,
-0.4612202048301697,
0.23997832834720612,
-0.726747989654541,
0.3182775378227234,
-0.0002785618416965008,
0.3334595263004303,
0.3377310335636139,
0.04345220327377319,
-0.1502307802438736,
-0.26573920249938965,
0.11752396821975708,... |
Given the task definition and input, reply with output. In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted a... | good | 5 | NIv2 | task1559_blimp_binary_classification | zs_opt | [
-0.38824793696403503,
0.4756276607513428,
0.3646131753921509,
-0.43203026056289673,
-0.0405171699821949,
-1.3305946588516235,
0.2250056266784668,
-0.35261499881744385,
0.31753337383270264,
-0.09997494518756866,
-0.050275083631277084,
-0.24934270977973938,
-0.35863715410232544,
0.3010663986... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Q: و او یک توپ فوتبال آورد ، و ما هر شب در اون دهکده ی کوچک فوتبال داشتیم.
A: | Él se llevó una pelota de fútbol, y jugamos al fútbol todas las noches en ese pueblito. | 4 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.6631160974502563,
1.1954495906829834,
-0.422791987657547,
0.1145099401473999,
-0.9258708953857422,
-0.7041754126548767,
1.2008521556854248,
0.7263582944869995,
0.2824985384941101,
-0.40765097737312317,
-1.01479172706604,
1.0820064544677734,
-0.6668506264686584,
0.22300809621810913,
1.... |
Teacher: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Teacher: Now, underst... | Female | 2 | NIv2 | task340_winomt_classification_gender_pro | fs_opt | [
-1.1629408597946167,
0.17684368789196014,
0.386719286441803,
-0.506301999092102,
0.42584240436553955,
-0.4190176725387573,
-0.1929701715707779,
0.9044017791748047,
0.21399138867855072,
0.5626499056816101,
-0.9197489619255066,
0.05575805902481079,
-0.6092548370361328,
-0.7159117460250854,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Input: Consider Input: Hello, The bank of Uganda handles all monetary policies and printing of the shilling.
Cool! Can you tell me a ... | Output: Almost the entire population speaks French, which is also the official language.
| 2 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.20092855393886566,
0.41153377294540405,
-0.7422304153442383,
-0.8212456703186035,
-0.18295663595199585,
-1.1242085695266724,
0.3483489751815796,
0.887924313545227,
0.024477077648043633,
-0.10717704892158508,
0.11496800929307938,
-0.1370105892419815,
-0.47277528047561646,
0.19063007831573... |
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.
Example In... | Not Funny
| 3 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.06072482839226723,
0.42559853196144104,
0.7178058624267578,
0.031216416507959366,
-0.427976131439209,
-0.7122741937637329,
-0.06168403849005699,
1.0347954034805298,
0.03824694827198982,
-0.13332292437553406,
-0.5019518733024597,
-0.1045156717300415,
-0.4615066647529602,
0.14641818404197... |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
party
Sentence1: The green party took 12... | False. | 0 | NIv2 | task625_xlwic_true_or_false_answer_generation | zs_opt | [
-1.2405990362167358,
0.6235790252685547,
-0.408727765083313,
-0.12185542285442352,
-0.8701881170272827,
-0.34089195728302,
1.2422773838043213,
0.42736881971359253,
-0.12936633825302124,
-0.18332400918006897,
-0.7297012209892273,
0.26334717869758606,
-0.05572067201137543,
0.0976375937461853... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | Completion D | 8 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.05586474388837814,
0.2864988148212433,
0.04268195480108261,
-0.3190670609474182,
0.07412487268447876,
-0.18254354596138,
0.0218113511800766,
0.836928129196167,
-0.6124374270439148,
-0.362434059381485,
-0.5906331539154053,
0.025057166814804077,
-0.09092715382575989,
-0.2689257860183716,
... |
You will be given a definition of a task first, then some input of the task.
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to ans... | Option C | 1 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.1641433984041214,
0.1306835263967514,
-0.10431113839149475,
0.032560084015131,
0.21360215544700623,
-0.2520737648010254,
0.23950298130512238,
0.5069999694824219,
-0.21756994724273682,
-0.22716575860977173,
-0.9867318868637085,
-0.2866424322128296,
0.08656010776758194,
-0.7281791567802429... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: 勝者のないショーはない。
[A]: ຈະບໍ່ມີລາຍການ ຖ້າວ່າບໍ່ມີຜູ້ຊະນະເລີດ!
[Q]: 警備員はマニュアルの中で抑留所や他のどんな勤務地内においても、いかなる個人的な手紙や小包を受け取ってはならないと教えられている。
[A]: ຜູ້ຄຸມຈະຖືກແ... | ລະບົບພູມຄຸ້ມກັນຂອງຮ່າງກາຍມີການພັດທະນາທີ່ເຫັນໄດ້ຊັດເຈນວ່າຈະບໍ່ໄດ້ຜົນຢ່າງອ່ອນໂຍນ ຍ້ອນເຫດນັ້ນມັນຈິ່ງໄດ້ຮັບຄວາມສົມດູນລະຫວ່າງການຕອບສະໜອງຕໍ່ພະຍາດການເກີດພະຍາດຢ່າງໄວວາ ແລະ ຫຼຸດຜ່ອນການເກີດຄວາມເປັນໄປໄດ້ໃນການເກີດໂລກພູມແພ້ຕົວເອງ ໃນເງື່ອນໄຂທີ່ບະບົບພູມຄຸ້ມກັນຮ່າງກາຍໂຈມຕີເນື້ອເຍື່ອທີ່ແຂງແຮງ.
| 5 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.49893462657928467,
0.04570503532886505,
-0.5402700901031494,
-0.6153438687324524,
-0.1669740378856659,
-0.4047474265098572,
0.25726318359375,
0.37650758028030396,
-0.23270951211452484,
-0.7493998408317566,
-0.4970255494117737,
0.4830571413040161,
-1.2943363189697266,
0.5495190620422363,... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Input: Wiecie, jakie zdanie go spaliło?
Output: | Vocês sabem qual foi a frase desastrosa que ele usou? | 2 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.11056683957576752,
0.6263320446014404,
0.19460119307041168,
-0.2857199013233185,
-0.4972342848777771,
-1.3089983463287354,
0.43793174624443054,
0.24340926110744476,
0.679716944694519,
0.14114157855510712,
-0.414045512676239,
0.08020547032356262,
-0.43910181522369385,
-0.2218642085790634... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example: جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Output: because I know how much more Dr. G... | Then she remembered how they had drawn mutually away before the revealing moon, | 1 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-1.028769850730896,
0.19900424778461456,
-0.14422538876533508,
-0.1473449021577835,
-0.6282491683959961,
-0.6447176933288574,
0.6119675636291504,
0.2349996417760849,
0.44345664978027344,
-0.47602424025535583,
-0.44016945362091064,
0.4283938407897949,
-0.14744871854782104,
0.227683037519454... |
Teacher: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
Teacher: Now, understand the problem? Solve this instance: ['8261', '... | 20 | 6 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.42662331461906433,
0.7390027046203613,
-0.43540245294570923,
-0.9415498971939087,
-0.13487949967384338,
-0.19256305694580078,
0.22513046860694885,
0.448275625705719,
-0.448803573846817,
0.73442143201828,
-0.2489786297082901,
-0.04667431861162186,
0.19639639556407928,
-0.1893920600414276... |
Detailed Instructions: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Problem:[33, 57, 64, -71]
Solution: | [24, 7, 135] | 8 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.5162229537963867,
0.20640680193901062,
-0.17734453082084656,
-0.5155931711196899,
-0.5896704196929932,
0.1513386219739914,
1.182889699935913,
0.09855842590332031,
0.5819659233093262,
-0.18769729137420654,
0.042000725865364075,
-0.7103139758110046,
-0.06698083877563477,
0.163180857896804... |
Q: 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 returne... | [103, 79, 443, 457, 71, 827, 421] | 7 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.11118866503238678,
0.05705415830016136,
-0.02835218235850334,
-0.5908997058868408,
0.11606867611408234,
-0.355151891708374,
0.3545169532299042,
0.8243165016174316,
-0.20347121357917786,
0.5816864967346191,
-1.105165958404541,
-0.6690441966056824,
-0.3134753704071045,
-0.4381660223007202... |
Detailed Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the questi... | James could not finish reading the book on his trip to the beach. The _ is long. | 8 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.801444411277771,
0.3388192355632782,
0.09414873272180557,
-0.4562041461467743,
0.5284618139266968,
-0.7497428059577942,
0.8320609927177429,
0.9566646814346313,
-0.7927610874176025,
-0.2525068521499634,
-0.35727283358573914,
0.3691859245300293,
-0.5583872199058533,
-0.1529618501663208,
... |
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... | Yes | 9 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.35967665910720825,
0.7071655988693237,
0.2975116968154907,
-0.3542461395263672,
-0.4703364372253418,
-0.8470311164855957,
1.2510720491409302,
0.43067029118537903,
-0.5635607242584229,
-0.45168137550354004,
-0.34886667132377625,
-0.08345996588468552,
-0.8337489366531372,
0.521460711956024... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene
| 6 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.33202022314071655,
0.06801983714103699,
0.3627890348434448,
0.31785616278648376,
0.3925149440765381,
-0.38426053524017334,
0.530305802822113,
0.7076854705810547,
0.5021309852600098,
0.8913447260856628,
-0.16840760409832,
0.09416075050830841,
-0.01628050021827221,
-0.774017333984375,
0... |
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Example in... | where did the phrase "cop a feel" originate? | 3 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-1.0405738353729248,
0.9965105056762695,
-0.630452036857605,
0.07786913216114044,
0.27809345722198486,
0.2940621078014374,
-0.06106484308838844,
0.6477493047714233,
0.287227988243103,
0.6484454870223999,
-0.19228096306324005,
0.015918802469968796,
-0.09302545338869095,
0.3017761707305908,
... |
Part 1. Definition
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes... | Response 2 | 7 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.2793687582015991,
0.6724330186843872,
0.48230433464050293,
0.04796754568815231,
-0.014761954545974731,
-0.28558748960494995,
-0.1594211310148239,
0.44462913274765015,
-0.11036287248134613,
-0.3372330069541931,
-0.23381780087947845,
-0.1299826204776764,
-1.0006145238876343,
-0.18379306793... |
Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX:... | JJ | 2 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.26953357458114624,
0.04009655490517616,
-0.3225265145301819,
0.25213542580604553,
0.07201255857944489,
-0.414853036403656,
1.0193774700164795,
0.682916522026062,
-0.4035398066043854,
-0.1805075705051422,
-0.01069714780896902,
0.4954284131526947,
-0.2861115336418152,
0.12812627851963043,
... |
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) constantly antagonizing one of my classmates
(B) being angry with my friend for not supporting me... | B
| 0 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.09458565711975098,
0.45920753479003906,
0.2903446853160858,
-0.534003734588623,
-0.6949760913848877,
-0.5004830956459045,
0.0516122430562973,
0.3189377188682556,
0.1442190408706665,
0.456875741481781,
-0.15111178159713745,
-0.2654349207878113,
-0.20764988660812378,
-0.6081940531730652,
... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Context: La Movida Madrileña was a countercultural movement that took place mainly in Madrid duri... | agustín almodóvar | 0 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.6732308268547058,
0.19864052534103394,
-0.792540967464447,
0.2544965445995331,
0.22322019934654236,
0.6009451746940613,
0.9084628820419312,
1.1124029159545898,
-0.0003175348974764347,
0.3652920126914978,
-0.2910163998603821,
0.3049088716506958,
-0.878892719745636,
0.08324342966079712,
... |
Detailed Instructions: In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Problem:Senten... | 1 | 8 | NIv2 | task1344_glue_entailment_classification | zs_opt | [
-0.19283273816108704,
0.9701557159423828,
0.5938142538070679,
-1.091658353805542,
0.11416997760534286,
-0.5490526556968689,
0.6442809104919434,
0.6409562826156616,
0.5722858905792236,
-0.576109766960144,
-0.6054065823554993,
0.13587777316570282,
-0.41914334893226624,
0.24224990606307983,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Problem:um truque partilhado pela maior flor na Terra.
Solution: | Un truco compartido por la flor más grande en la Tierra. | 8 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.33888858556747437,
1.8755934238433838,
-0.15626724064350128,
-0.45009663701057434,
-0.380617618560791,
-0.15266713500022888,
0.40299874544143677,
0.8379705548286438,
0.17047320306301117,
-0.23072023689746857,
-0.7299460768699646,
0.10340458154678345,
-0.5731304287910461,
1.2078742980957... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquia... | نزديکترين " starbucks " کجاست؟ | 8 | NIv2 | task172_spl_translation_en_fa | fs_opt | [
-0.5543457269668579,
0.8900701999664307,
0.09857391566038132,
-0.07910320162773132,
-0.14064665138721466,
0.05377033352851868,
1.0833330154418945,
0.6496835350990295,
-0.07060529291629791,
-0.2954927086830139,
-0.2609526216983795,
0.07769178599119186,
-0.17179244756698608,
0.66235983371734... |
Given the task definition and input, reply with output. In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, w... | Alissa applied for an entry level position paying 20 an hour. | 5 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.390761137008667,
0.7119367122650146,
0.2996528744697571,
0.39428961277008057,
-0.49148672819137573,
-0.16375836730003357,
0.14828436076641083,
0.29312586784362793,
-0.09420977532863617,
-0.32847267389297485,
-0.7212510108947754,
0.4538400173187256,
-0.38353317975997925,
-0.26524290442466... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Example input: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Exa... | الأخوة مختلفة عن الصداقة. | 3 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.5796459317207336,
0.9158153533935547,
-0.6100470423698425,
-0.8873274326324463,
-0.38049745559692383,
-0.24560987949371338,
1.3358397483825684,
0.029365088790655136,
0.3893393874168396,
-0.1537156105041504,
-0.9936572313308716,
-0.006638446822762489,
-0.2102704644203186,
0.3386277258396... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Infine, l'ultimo progetto di cui vi voglio parlare è il Progetto della Foresta del Sahara, su cui stiamo lavorando ora.
Output: | و پروژه آخری که من می خواهم راجع به آن صحبت کنم پروژه صحرای ساحارا است که در حال حاضر بر روی ان کار می کنیم. | 2 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.19629216194152832,
0.5828473567962646,
-0.11710274964570999,
-0.09353430569171906,
-0.790611743927002,
-0.173496812582016,
0.13709940016269684,
0.5028995275497437,
0.12153919041156769,
0.12714214622974396,
-0.026998769491910934,
0.16916009783744812,
0.12394479662179947,
-0.1349507272243... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE bag | 4 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.19420760869979858,
0.4389997720718384,
-0.710851788520813,
0.4214824140071869,
0.0904540866613388,
-0.4945581555366516,
1.1122839450836182,
1.2160835266113281,
-0.27002277970314026,
0.22698280215263367,
-0.3394639492034912,
0.6206602454185486,
-0.301129549741745,
-0.05969692021608353,
... |
Given the task definition, example input & output, solve the new input case.
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and y... | are you reffering to the federal or state tax | 1 | NIv2 | task166_clariq_sentence_generation | fs_opt | [
-0.45671504735946655,
0.769007682800293,
-0.47701939940452576,
0.011359687894582748,
-0.2942536771297455,
0.23842544853687286,
0.8111865520477295,
0.17985357344150543,
0.09659518301486969,
-0.3046620786190033,
-0.21152134239673615,
-0.7743726372718811,
-0.3246724307537079,
-0.0491999574005... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Solution: Three tan men on the side of a mountain | 5 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.13473641872406006,
0.8273376226425171,
0.4735164940357208,
-0.6374378204345703,
0.1242438554763794,
-0.2976863980293274,
-0.40120095014572144,
0.7561435103416443,
0.1354096233844757,
-0.20560726523399353,
-0.9266749620437622,
-0.4428465962409973,
-0.7380034923553467,
-0.4410910010337829... |
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) not telling my mother a joke
(B) lying to my mother because I didn't think she'd react well to th... | B | 0 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.14337800443172455,
0.9907572865486145,
0.33522191643714905,
-0.6587084531784058,
-1.2193055152893066,
-0.22282934188842773,
-0.03065146878361702,
0.4545929431915283,
0.1931672990322113,
0.03954910486936569,
-0.5122207999229431,
0.10903207957744598,
-0.4462583363056183,
-0.66214072704315... |
Definition: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words... | George niece was sadness. | 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.16258880496025085,
0.2081480175256729,
0.14885306358337402,
-0.5034310817718506,
-0.23379045724868774,
-0.15603439509868622,
0.3195669651031494,
0.4022931456565857,
-0.026844924315810204,
-0.7902964353561401,
-0.540310263633728,
0.2578866481781006,
-0.7814079523086548,
-0.413724124431610... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. 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... | 9501o
| 5 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.27514421939849854,
0.43802666664123535,
-0.25622016191482544,
-0.43120327591896057,
-0.0011797352926805615,
-0.20198622345924377,
0.09841734170913696,
0.07703223824501038,
-0.5219464898109436,
0.011384693905711174,
-1.112522840499878,
-0.11949650198221207,
0.20713025331497192,
-0.010395... |
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: "BAN"
Clue: In this 1974 Paul McCartney & Wings hit, "The rain exploded with a mi... | "band on the run" | 7 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
0.19542495906352997,
1.8429431915283203,
-0.5262643694877625,
0.056480471044778824,
0.07126247882843018,
-0.4937172830104828,
0.6257513761520386,
0.14158348739147186,
0.329837828874588,
0.6695431470870972,
-0.8330556154251099,
-0.1034272089600563,
-0.20155911147594452,
0.18635594844818115,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Pero os pais presentes saben que as mensaxes de texto son a mellor forma de comunicarse cos fillos. | אבל ההורים בחדר יודעים שמסרונים הם בעצם הדרך הטובה ביותר לתקשר עם הילדים שלכם. | 0 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.9051304459571838,
0.47881782054901123,
-0.12812066078186035,
-0.2858562469482422,
-0.6220203042030334,
-0.35418492555618286,
1.3046571016311646,
0.2817844748497009,
0.7658416032791138,
-0.05505138635635376,
-0.24854862689971924,
0.4856034517288208,
-0.605029284954071,
0.2675191760063171... |
Part 1. Definition
This task is about translating a given English language sentence to Yoruba language.
Part 2. Example
While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
Answer: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni ní... | Ó dùn èèyàn àbí?. | 7 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.23241642117500305,
0.4974793791770935,
0.5267782211303711,
-0.573722243309021,
-0.26377421617507935,
-0.036303430795669556,
0.35254967212677,
0.5203952193260193,
0.11479410529136658,
-0.919861376285553,
0.07929741591215134,
0.16938182711601257,
-0.960284948348999,
0.3693063259124756,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Nie. Po dwakroć, nie. | No. Di nuovo, no. | 0 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.824428915977478,
0.9372042417526245,
0.01743401773273945,
-0.08576885610818863,
-0.7152446508407593,
-0.5014858245849609,
1.0896883010864258,
0.2584066390991211,
-0.17953640222549438,
0.28323858976364136,
-0.3968338668346405,
-0.009481271728873253,
-0.43921929597854614,
0.14769364893436... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns... | the average of the us viewers in millions record of all rows is 9.15 . | 5 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.016588568687438965,
-0.14393852651119232,
-0.06962865591049194,
0.1479872763156891,
0.10748536884784698,
-0.10669226944446564,
0.2752438187599182,
0.26634708046913147,
0.22941520810127258,
-0.33108705282211304,
-0.5735838413238525,
-0.24390530586242676,
0.24415411055088043,
0.50181353092... |
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