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Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list...
[768, -26, 0, 0, 0, 389120, 25536, -36, 20]
6
NIv2
task851_synthetic_multiply_evens
zs_opt
[ -0.5158658027648926, 0.32975488901138306, -0.3322458863258362, -0.1291705071926117, 0.008938217535614967, -0.05611049383878708, 0.9963006973266602, 0.32158714532852173, -0.24402543902397156, -0.1467076539993286, -0.7168127298355103, 0.019005563110113144, -0.7742365002632141, -0.68453478813...
Detailed Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content. Problem:@anonymized_account @anonymized_account @anonymized_account @anonymized_account Można się odczulić, recepta za darmo, ockniesz sie jak z matrixa Solution:
0
8
NIv2
task838_cdt_classification
zs_opt
[ -1.5316969156265259, 0.9537171721458435, 0.4758039712905884, 0.18066439032554626, 0.0037057616282254457, -0.8264294862747192, 1.0884573459625244, -0.1012120172381401, 0.5151417851448059, 0.23212765157222748, -0.1490485966205597, -0.5437583923339844, -0.22376126050949097, -0.716363787651062...
Given the task definition and input, reply with output. Use a disfluent question or a proper question and find the answer to the question based on the given context or return None if an answer can't be found. A disfluent question is a question that has some interruptions in it while framing. A proper question is the co...
None
5
NIv2
task1625_disfl_qa_asnwer_generation
zs_opt
[ 0.09571661800146103, 0.3328736424446106, -0.39414307475090027, 0.2610921859741211, -0.19138847291469574, -0.3713655471801758, 0.5377953052520752, 0.7204045057296753, 0.22883373498916626, 0.4044498801231384, -0.8050680160522461, -0.7156177759170532, -0.856637716293335, -0.10982897132635117,...
Given a sentence in Dutch, generate a new Dutch 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...
U kunt meer als je snijd het in lepel maat brokken.
5
NIv2
task409_mickey_nl_sentence_perturbation_generation
fs_opt
[ -0.23240293562412262, 1.0744390487670898, 0.1181458979845047, -0.2923731207847595, -0.2738878130912781, -0.8327161073684692, 0.27285605669021606, 0.07701417803764343, 0.056588850915431976, -0.503379225730896, -0.3377212584018707, 0.536711573600769, -0.5272032618522644, 0.6608238220214844, ...
instruction: 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. question: PersonX asks if PersonY could help answer: ...
to make persony proud
9
NIv2
task1596_event2mind_text_generation_2
fs_opt
[ -0.24427202343940735, 0.5959680676460266, 0.013254821300506592, -0.6292035579681396, -0.4348216652870178, -0.9277501106262207, 0.766778290271759, 0.3148377537727356, 0.5074319839477539, -0.43700113892555237, -0.38615506887435913, -0.02645065449178219, -0.6233245134353638, 0.452365994453430...
Definition: In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence. Input: we men are always asking does she have a fairly good reputation? Output:
Does she have a fairly good reputation?
2
NIv2
task1669_md_gender_bias_text_modification
zs_opt
[ -1.6342313289642334, 0.8364535570144653, 0.24396288394927979, -0.47563037276268005, 0.04742100462317467, -0.34336531162261963, 0.6180078387260437, -0.18672683835029602, 0.8290036916732788, -0.4290204644203186, -1.2423663139343262, 0.15115444362163544, -0.9895150661468506, -0.05830638110637...
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top...
non-political
4
NIv2
task1491_bengali_political_hate_speech_binary_classification
zs_opt
[ -0.3233134150505066, 0.050897955894470215, 0.5424835681915283, 0.1477675884962082, -0.4176332652568817, -0.08057978004217148, -0.24902759492397308, 0.5944294929504395, 0.14775235950946808, 0.13187819719314575, -0.6034644246101379, -0.39685821533203125, -0.05488559976220131, -0.458367437124...
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian. Problem:and even though i was married to your father . Solution:
و هرچند اينكه با پدرتون ازدواج كرده بودم .
8
NIv2
task658_tep_en_fa_translation
zs_opt
[ -0.17242467403411865, 1.5663937330245972, -0.4676327109336853, 0.04134092852473259, -0.6070556640625, 0.051199860870838165, 0.45242971181869507, 0.8679264187812805, 0.38925451040267944, 0.07987257838249207, -0.635390043258667, 0.4925617575645447, -1.4261345863342285, -0.22200703620910645, ...
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". One example is below. Q: English: Details were given by the UK Transport Secretary, ...
Yes
9
NIv2
task437_alt_en_ja_answer_generation
fs_opt
[ -0.4896702766418457, -0.16394881904125214, 0.34854432940483093, 0.22697728872299194, 0.32561516761779785, -0.2295621931552887, -0.11786659061908722, 0.01601862907409668, -0.2469778209924698, -0.44373172521591187, 0.1381826400756836, 0.7803065776824951, -0.33901840448379517, 0.5033613443374...
In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link]. [Q]: 1. Lo que se propone es interesante como una aplicación pero no e...
en
5
NIv2
task265_paper_reviews_language_identification
fs_opt
[ 0.3867957890033722, 0.5142682194709778, -0.09717674553394318, -0.09580504894256592, 0.4680890440940857, -0.6652167439460754, 1.2439141273498535, 1.120431661605835, -0.08171308040618896, 0.39950352907180786, -0.05902666598558426, 0.2800742983818054, 0.374355286359787, 0.6230834722518921, ...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in ele...
high
0
NIv2
task1712_poki_classification
fs_opt
[ 0.20996180176734924, 0.9629958868026733, 0.028546344488859177, -0.3941895663738251, -0.284432590007782, -0.9247077703475952, 0.4772067368030548, 0.7794045805931091, -0.12357303500175476, -0.487445592880249, -0.04535489156842232, 0.27724021673202515, -0.4941166639328003, -0.0184282250702381...
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None Event:PersonX takes ___ of the children. Intent: 1) to ha...
thankful
0
NIv2
task924_event2mind_word_generation
zs_opt
[ 0.38662952184677124, 0.35624009370803833, -0.15809646248817444, -0.4828304946422577, -1.0641993284225464, -0.2814806401729584, 1.1999969482421875, 0.734953761100769, 0.16693449020385742, -0.5047245025634766, 0.5448424816131592, 0.004628750495612621, -0.5696699023246765, 0.3069292902946472,...
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun...
A man is a player in a basketball game.
0
NIv2
task188_snli_neutral_to_entailment_text_modification
fs_opt
[ 0.14099982380867004, 0.8980159759521484, -0.6155422925949097, -0.3262863755226135, 0.13446249067783356, 0.03202550858259201, 0.6209102272987366, 0.5224723815917969, 0.3029834032058716, -0.7332255244255066, -1.0800716876983643, 0.058754049241542816, -0.6055961847305298, 0.02848559059202671,...
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the q...
How long did Paul Snyder own the Buffalo Braves before he sold the team to Brown Jr?
6
NIv2
task235_iirc_question_from_subtext_answer_generation
fs_opt
[ -0.08525225520133972, 0.10664249956607819, -0.26310253143310547, 0.6207491159439087, 0.07241426408290863, -0.017780641093850136, 0.3215446174144745, 0.7828764915466309, 0.48591578006744385, 0.050325967371463776, -0.5489461421966553, 0.42421990633010864, -0.9921780824661255, 0.0199131760746...
You will be given a definition of a task first, then some input of the task. You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese. Sto perdendo la concentrazione. Output:
EG: A perder concentração.
1
NIv2
task1255_ted_translation_it_pt
zs_opt
[ 0.14606279134750366, 0.9020907878875732, -0.5015754699707031, -0.43505918979644775, -0.3169437646865845, -0.1772994101047516, -0.42936182022094727, 1.1128298044204712, 0.6915631890296936, -0.27068865299224854, -0.8520548343658447, -0.14618365466594696, -0.2953382432460785, 0.44420409202575...
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence. Input: અહીંની દરેક ચીજવસ્તુ જો તમે ઝીણવટથી જોશો તો ભારતના લોકો જે સંસ્કૃતિથી જીવે છે તેની સાથે મળતી આવે છે. Output:
या देशाकडे जर तुम्ही बारकाईने पाहिलंत तर तुम्हाला आढळेल की भारतात जी संस्कृती आहे तशीच तिथंही आहे.
3
NIv2
task983_pib_translation_gujarati_marathi
zs_opt
[ -0.06484962999820709, 0.6103085279464722, -0.18799155950546265, 0.4216114580631256, 0.2128082811832428, -1.3823137283325195, 0.3128267526626587, -0.16862618923187256, -0.7169371843338013, -0.273331880569458, -0.45342159271240234, -0.677746057510376, -0.5021995306015015, 0.35714808106422424...
Given the task definition and input, reply with output. 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...
ab
5
NIv2
task221_rocstories_two_choice_classification
zs_opt
[ -0.43168336153030396, 0.8321127891540527, 0.1283845752477646, 0.3659679889678955, -0.3231525421142578, 0.21025648713111877, 0.5759962201118469, 0.7690334916114807, -0.35092175006866455, -0.043762125074863434, -0.7717907428741455, 0.15739113092422485, 0.009581507183611393, -0.10329872369766...
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words. Example: A lion has _ legs. Example solution: four Example explanation: The most logical numeric answer in words is four. Problem: Currents are extremely variable, from nothing to a fast, steady flow of _ k...
Solution: three
5
NIv2
task672_nummersense
fs_opt
[ 0.04241969436407089, 0.802942156791687, -0.4528231620788574, -0.25589823722839355, -0.4687223434448242, -0.3692874610424042, 0.24562036991119385, 0.4929417371749878, -0.30183839797973633, -0.5090208649635315, -0.011480221524834633, 0.24103371798992157, -0.9841631650924683, 0.16983610391616...
You will be given a definition of a task first, then some input of the task. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic. خیلی خوب ، بدون حرف اضافه ای ، دوست دارید صداش را بشنوید ؟ Output:
لذلك ، ومن دون أن نكثر من الكلام ، هل تودّون سماعه ؟
1
NIv2
task1268_ted_translation_fa_ar
zs_opt
[ -0.328049898147583, 0.47264671325683594, -0.17228573560714722, -0.05023442208766937, -0.41684117913246155, 0.6246209144592285, 1.0244693756103516, 0.06010473892092705, 0.6503254175186157, 0.43423545360565186, -0.8715038895606995, -0.49374622106552124, -0.4229417145252228, 0.034011110663414...
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer. Problem:Who played gaston in the movie beauty and the beast? Solution:
Who played gaston in the 2017 movie beauty and the beast?
8
NIv2
task670_ambigqa_question_generation
zs_opt
[ 0.8065093755722046, 0.6486773490905762, -0.6472175121307373, -0.9713222980499268, 0.4079347252845764, -0.31224673986434937, 0.42654234170913696, 0.03983007371425629, 0.5817105770111084, -0.20682930946350098, -0.20607084035873413, 0.263364315032959, -1.2518086433410645, -0.3531518578529358,...
Detailed Instructions: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". See one example below: Problem: Tweet: @justin...
no
4
NIv2
task196_sentiment140_answer_generation
fs_opt
[ -1.019042730331421, -0.42073917388916016, 0.321530282497406, 0.5488996505737305, 0.19115929305553436, -0.8201808929443359, -0.08156285434961319, 0.30371809005737305, 0.31128472089767456, 0.18393155932426453, -0.46151867508888245, -0.43709275126457214, -0.33138924837112427, -0.2826735675334...
Q: 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 The site collects your computer information for an unspecified purpose. Collection ...
Computer information
7
NIv2
task684_online_privacy_policy_text_information_type_generation
zs_opt
[ -0.6443250179290771, -0.1439891755580902, -0.746816873550415, 0.2460547685623169, -0.7722618579864502, -1.1532604694366455, 0.3130466341972351, 0.3572843074798584, 0.37872689962387085, 0.6671773195266724, 0.8000355958938599, 0.11525020748376846, -0.2834698557853699, -0.4678627550601959, ...
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc...
coats.
8
NIv2
task041_qasc_answer_generation
fs_opt
[ 0.3339269161224365, 0.8678523302078247, -0.6120189428329468, 0.5155243277549744, -0.4361298084259033, -1.701458215713501, 0.058247387409210205, 0.3657078146934509, -0.49187836050987244, -0.3407192826271057, -1.2135322093963623, 0.46029800176620483, -0.5071356296539307, -0.2273433357477188,...
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship. Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it' Example solution: The mailbox was bent and broken and looked like someone had knocked it ...
Solution: 1974 : " The Rumble in The Jungle " : Muhammad Ali knocks out George Foreman in Kinshasa , Zaire to regain the World Heavyweight Boxing championship .
5
NIv2
task677_ollie_sentence_answer_generation
fs_opt
[ 0.07415267080068588, 0.9268448352813721, 0.08809587359428406, 0.12366421520709991, 0.3324270248413086, -0.6349986791610718, 0.2759805917739868, 0.8556072115898132, -0.03031941130757332, -0.34378930926322937, -0.3151032626628876, 0.15507209300994873, -1.052202820777893, -0.12507376074790955...
Definition: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language. Input: ¿Cuál de las siguientes intervenciones NO forma parte del entrenamiento en hábitos defecatorios para el tratamiento de la encorpresis? Output:
Which of the following interventions is NOT part of the training in defecatory habits for the treatment of corporpresis?
2
NIv2
task1433_head_qa_language_translation_es_to_en
zs_opt
[ -0.3499900996685028, 0.4845895767211914, -0.07976259291172028, -0.5725019574165344, -0.1726149022579193, -0.28476661443710327, -0.09890541434288025, 1.408236026763916, 0.2365499883890152, -0.3470095992088318, -0.10442914068698883, -0.42911913990974426, -0.24025548994541168, -0.092979751527...
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m...
a
6
NIv2
task214_rocstories_incorrect_ending_classification
fs_opt
[ 0.4786137342453003, 0.10770198702812195, -0.135244682431221, 0.26734599471092224, 0.712155818939209, -0.10744509100914001, 0.5960545539855957, 0.9996840357780457, 0.07571516185998917, 0.09953475743532181, -0.7164630889892578, -0.11158108711242676, -0.12348280102014542, -0.20608952641487122...
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact English sentence: 17:12 And the ten horns that you saw are ten kings; these have not yet received a kingdom, but they shall receive authority, as if they were kings, for one hour, after t...
17:12 Oo tobankii gees oo aad aragtay waa toban boqor,; kuwaas oo aan weli helin boqortooyo, laakiin waxay heli doonaan awood, sida haddii ay ahaayeen boqorradii, hal saac, bahalkii;.
0
NIv2
task446_opus_paracrawl_en_so_translation
zs_opt
[ 0.27523502707481384, 0.967124342918396, -0.7715723514556885, -0.19076833128929138, -0.9511023163795471, -0.7076531648635864, 0.9124715328216553, 0.5385169982910156, -0.4827948212623596, -0.5249150395393372, 0.05423082411289215, 0.529541015625, -1.0103850364685059, -0.13687697052955627, -...
Teacher:Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". Teacher: Now, understand the problem? Solve this instance: Japanese: 病...
Yes
6
NIv2
task1117_alt_ja_id_answer_generation
zs_opt
[ -0.3234027028083801, 0.6351381540298462, 0.38439106941223145, -0.24189917743206024, 0.2609318494796753, -0.6273713111877441, 0.3596208989620209, -0.15308161079883575, 0.08317697793245316, -0.8362990617752075, -0.2522701621055603, 0.9493604898452759, -0.9366562366485596, 0.343646377325058, ...
Detailed Instructions: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the s...
more.
4
NIv2
task061_ropes_answer_generation
fs_opt
[ -0.18923984467983246, 0.10533912479877472, 0.17306163907051086, -0.31094425916671753, 0.3120034337043762, -1.266481876373291, 0.06588130444288254, 1.529736042022705, -0.908793568611145, 0.6173579692840576, -1.1422683000564575, 0.006769336760044098, -0.566677451133728, 0.529920220375061, ...
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. Your...
entails
4
NIv2
task1529_scitail1.1_classification
zs_opt
[ -0.22414854168891907, 0.5797334909439087, -0.3463197350502014, 0.05304912477731705, -0.23829513788223267, -1.0255661010742188, 0.1480771005153656, 0.4624232053756714, 0.5170140266418457, -0.6594390869140625, -0.4157429337501526, 0.12389864027500153, -0.8240606188774109, -0.0537181049585342...
In this task, you have to generate the title of the recipe given its required ingredients and directions. Q: ingredients: '2 c. flour', '1 1/2 c. sugar', '2 eggs', '1/2 tsp. salt', '2 tsp. baking soda', '1 can (16 oz.) crushed pineapple', '1/2 c. chopped pecans',<sep> directions: 'Mix all ingredients together and pou...
Veal Stew ****
4
NIv2
task569_recipe_nlg_text_generation
fs_opt
[ 0.8757925033569336, 0.36953216791152954, -0.8883497714996338, 0.7295388579368591, 0.6662827730178833, -0.15203818678855896, 1.0014138221740723, 1.1825271844863892, -0.5558555722236633, -0.2171308398246765, -0.3456762731075287, 0.4961260259151459, -0.08047925680875778, 0.48295408487319946, ...
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
9
NIv2
task1196_atomic_classification_oeffect
fs_opt
[ 1.012594223022461, -0.22694118320941925, 0.18325665593147278, -0.4393816590309143, 0.1622043401002884, -0.9147924780845642, 1.1659629344940186, 0.8714845180511475, -0.7926192283630371, -0.2821691036224365, -0.5093303918838501, -0.15834076702594757, -0.4699198603630066, -0.05282015725970268...
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap...
North to South.
3
NIv2
task054_multirc_write_correct_answer
fs_opt
[ 0.29610776901245117, 0.04647163301706314, -0.4637979567050934, -0.06898139417171478, -0.23287780582904816, -0.7670407295227051, 0.004565345123410225, 0.5628008246421814, 0.8759892582893372, 0.21023871004581451, -0.8684524893760681, 0.6324882507324219, -0.6315016746520996, -0.65202409029006...
Part 1. Definition Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b...
You are likely to rate a watch in over water .
7
NIv2
task413_mickey_en_sentence_perturbation_generation
fs_opt
[ 0.06889192759990692, 0.4146525263786316, -0.019621070474386215, -0.3584539294242859, 0.1989908516407013, -0.7588960528373718, 0.4353005290031433, 0.5727654695510864, 0.40675169229507446, -0.9103687405586243, -0.7581809163093567, -0.6011137962341309, -1.1379860639572144, 0.1615470051765442,...
Given the task definition and input, reply with output. In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit ...
05410689
5
NIv2
task1443_string_to_number
zs_opt
[ -0.8883948922157288, 1.2586841583251953, -0.18191277980804443, -0.7523940205574036, -0.35199639201164246, -0.08941639959812164, 0.5555978417396545, -0.016984954476356506, 0.11086858808994293, -0.5329059958457947, -0.670678436756134, 0.3673686981201172, -0.7643605470657349, 0.00508116418495...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi. One example: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد. Solution is here: و آنگاه آنها کُد می نوشتند ، معمولا ک...
هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود. هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود.
6
NIv2
task1108_ted_translation_ar_fa
fs_opt
[ -0.7241697311401367, 0.3143496811389923, -0.2663627862930298, -0.7803834676742554, 0.08180304616689682, -0.008926172740757465, 1.3183059692382812, -0.06066492944955826, -0.4638870060443878, -0.19229468703269958, -0.5934909582138062, -0.18734128773212433, -0.6517036557197571, 0.282154709100...
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill. Q: SECTION 1. SHORT TITLE. This Act may be cited as the ``Child Custody Protection Act''. SEC. 2. TRANSPORTATION OF MINORS IN CIRCUMVENTION OF CERTAIN LAWS RELATING T...
Possessions Wage Credit Act of 1993 - Amends the Internal Revenue Code to allow a possessions employment credit for wages paid or incurred by an employer for services performed by an employee within a possession of the United States, if such employee is a bona fide resident of such possession and is subject to its tax ...
4
NIv2
task1658_billsum_summarization
fs_opt
[ 0.6121819019317627, 0.22758056223392487, -0.12156779319047928, 0.13419288396835327, 0.24069717526435852, -0.36031556129455566, 0.42184606194496155, 1.3256040811538696, -0.7851396799087524, 0.4119470417499542, -0.3563140034675598, 0.5520855188369751, -0.6393049955368042, -0.0230325125157833...
Given the task definition and input, reply with output. In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'. Sentence 1: In 1993, our four year old was ...
b
5
NIv2
task220_rocstories_title_classification
zs_opt
[ -0.6942179203033447, 0.7464209198951721, -0.22410151362419128, -0.3035375773906708, -0.4351513981819153, -0.2550203502178192, 0.2596217691898346, 0.7159074544906616, 0.1900738626718521, 0.06818065792322159, -0.44735634326934814, 0.13386842608451843, -0.6622747778892517, -0.2089911699295044...
Given the task definition, example input & output, solve the new input case. You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its anton...
After PersonX started dating PersonY's former girlfriend, _ tried to break up the new relationship.
1
NIv2
task035_winogrande_question_modification_person
fs_opt
[ 0.9644458889961243, 0.20476359128952026, -0.3584849536418915, 0.0667879730463028, 0.559967041015625, -0.9194149971008301, 1.357205867767334, 0.6403803825378418, -0.5970978736877441, -0.6828444004058838, -0.20835909247398376, 0.12149441987276077, -0.5265153050422668, 0.21351665258407593, ...
Part 1. Definition In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative Part 2. Example It 's a lovely film with lovely performances by Buy and Accorsi . Answer: POS Exp...
POS
7
NIv2
task363_sst2_polarity_classification
fs_opt
[ -0.6376444101333618, 0.6000992059707642, 0.31126946210861206, 0.179655522108078, 0.43647950887680054, -0.4174914062023163, 0.5445736050605774, 0.3462138772010803, 0.2766034007072449, 0.20424768328666687, -0.625309407711029, -0.5998889803886414, 0.3910607695579529, 0.3106899559497833, 0.9...
Teacher:In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definition...
yes
6
NIv2
task211_logic2text_classification
zs_opt
[ -0.12512826919555664, -0.3357347249984741, -0.3035530745983124, 0.1593208611011505, 0.31878557801246643, -0.5094540119171143, 0.29796308279037476, 0.8581138849258423, 0.07321055978536606, -0.08621567487716675, -0.19742369651794434, 0.05053624510765076, 0.06412104517221451, 0.21942472457885...
Given the task definition, example input & output, solve the new input case. Given a text, write a compressed version of it in a single sentence. Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford Uni...
The ethics panel concluded its review just as Torricelli is gearing up for his campaign against Douglas R. Forrester.
1
NIv2
task1340_msr_text_compression_compression
fs_opt
[ -0.45625734329223633, 0.5344496965408325, 0.6074137091636658, 0.2581450939178467, -0.09181104600429535, -0.9647073745727539, 0.27191245555877686, 0.3929831087589264, -0.14285537600517273, 0.5218174457550049, -0.09196223318576813, 0.39195191860198975, -0.12065340578556061, -0.30600476264953...
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable. Ex...
Unidentifiable
1
NIv2
task350_winomt_classification_gender_identifiability_pro
fs_opt
[ -1.1462289094924927, 0.09488849341869354, -0.10139001905918121, -0.08507326245307922, 0.38512662053108215, 0.24653825163841248, -0.6086350679397583, 0.7341009378433228, 0.4903936982154846, 0.481915146112442, -1.1809656620025635, -0.3312264680862427, 0.24306994676589966, -0.3792324364185333...
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici...
Solution: No
5
NIv2
task608_sbic_sexual_offense_binary_classification
fs_opt
[ -1.321692943572998, 0.3470636308193207, 0.36904025077819824, 0.2272094488143921, -0.1686243712902069, 0.13161146640777588, 0.32489317655563354, 0.3289835453033447, 0.3495432734489441, 0.3744933605194092, 0.5060129165649414, -0.36083686351776123, -0.277271568775177, -0.7109848260879517, 0...
Teacher:In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent. Teacher: Now, understand the problem? Solve this instance:...
A
6
NIv2
task296_storycloze_correct_end_classification
zs_opt
[ -0.2716750204563141, 0.14578992128372192, -0.051897548139095306, -0.4378929138183594, 0.3421224057674408, -0.5769708156585693, -0.07823449373245239, 0.38279396295547485, 0.10241331905126572, 0.3107207119464874, -0.213695228099823, -0.6677790284156799, 0.29998162388801575, -0.59964132308959...
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the foll...
93.9.
9
NIv2
task028_drop_answer_generation
zs_opt
[ 0.12522894144058228, 0.538427472114563, -0.0130296116694808, -0.33085232973098755, 0.18559762835502625, -0.06903614103794098, 0.6649101376533508, 0.6143038272857666, -0.05348896607756615, 0.28658533096313477, -0.29323506355285645, 0.657425045967102, -0.7259108424186707, -0.2136774361133575...
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.. Example input: Context: Tracy didn't go home that evening and resisted Riley's attacks. Answer: Find somewhere to go Example output: ...
What does Austin need to do before this?
3
NIv2
task581_socialiqa_question_generation
fs_opt
[ 0.5380144119262695, 0.7909841537475586, 0.23989622294902802, -0.1098516657948494, -0.141344353556633, -1.04155433177948, 0.188412606716156, -0.29446858167648315, 0.4803366959095001, 0.46747905015945435, -0.3665458858013153, 0.17613288760185242, -0.41988155245780945, -0.08248893171548843, ...
Detailed Instructions: A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence. Problem:ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਨੇ ਭਾਰਤ ਦੇ ਸਾਬਕਾ ਰਾਸ਼ਟਰਪਤੀ, ਡਾ. Solution:
akir Hussain, former President of India, on his birth anniversary.
8
NIv2
task1008_pib_translation_punjabi_english
zs_opt
[ -0.06379051506519318, 0.11958979070186615, 0.1120654046535492, -0.26407402753829956, -0.1383051574230194, -0.5177117586135864, 1.3973419666290283, -0.14289209246635437, 0.0719723105430603, 0.29748421907424927, -0.9530608057975769, -0.2421259880065918, -0.3324819505214691, 0.207497149705886...
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man". Problem:W: Morning. Gall. Did y...
In a farm house.
8
NIv2
task283_dream_incorrect_answer_generation
zs_opt
[ 0.007311779074370861, 0.5943481922149658, 0.1043248176574707, -1.1783133745193481, 0.1074378713965416, -1.0751547813415527, 1.0851645469665527, 0.252168744802475, -0.12983061373233795, -0.4463335871696472, -0.5508251190185547, -0.00724053243175149, -0.4472927451133728, -0.20883621275424957...
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'. L...
None
8
NIv2
task1545_conll2002_person_name_extraction_answer_generation
fs_opt
[ -0.30464473366737366, 0.7132841348648071, -0.22653324902057648, 0.35194602608680725, -0.3420228660106659, -0.8528147339820862, 1.393813133239746, 0.10661537945270538, 0.5076054930686951, -0.5458487272262573, -0.9541831016540527, 0.634108304977417, -0.11738283932209015, -0.00704112928360700...
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Perso...
Yes
5
NIv2
task1203_atomic_classification_xreact
zs_opt
[ -0.07337294518947601, 0.11704836040735245, 0.49442026019096375, -0.2686190605163574, -0.293966144323349, -0.7118042707443237, 1.2632968425750732, 0.7110018134117126, -0.46792566776275635, -0.46801823377609253, -0.6831764578819275, -0.025735054165124893, -0.7702528238296509, 0.1235909312963...
Teacher:In this task, you are given an answer, and your task is to generate a reasonable question for that answer. Teacher: Now, understand the problem? Solve this instance: I try to eat well. Student:
Do you prefer healthy food?
6
NIv2
task568_circa_question_generation
zs_opt
[ -0.18551002442836761, 0.4966055750846863, 0.6694008111953735, -0.5301452279090881, -0.30149221420288086, -0.5467432737350464, -0.04369165003299713, 0.22981856763362885, -0.3124438226222992, -0.5606861710548401, 0.22314995527267456, -0.6094223260879517, -1.4823830127716064, -0.3522780835628...
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time. Input: Consider Input: The DRC has already coordina...
Output: English
2
NIv2
task1621_menyo20k-mt_en_yo_language_identification
fs_opt
[ 0.06863719969987869, 0.6864889860153198, 0.08799713104963303, -0.25933295488357544, -0.2242714762687683, -0.9232611060142517, 0.37131452560424805, 0.09584803879261017, 0.3164955675601959, -0.012360282242298126, -0.4906061887741089, 0.3693861663341522, -0.9042775630950928, -0.25837010145187...
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No". Question1: What is your review of Mint Newspaper?, Question2: Which is a better newspaper to read: Economic Times or Mint?
No
0
NIv2
task1287_glue_qqp_paraphrasing
zs_opt
[ -0.7536636590957642, 0.3794582188129425, 0.4389725923538208, 0.2876882255077362, 0.021819155663251877, -0.7808079719543457, -0.1664322018623352, 0.03675912320613861, 0.31511354446411133, 0.3098245859146118, -0.5631126761436462, -0.22290873527526855, -0.6862072944641113, -0.1650665253400802...
Q: 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 det...
Yes
7
NIv2
task1202_atomic_classification_xneed
zs_opt
[ 0.6446819305419922, 0.19976088404655457, 0.39928683638572693, 0.06021204963326454, -0.4752759039402008, -0.695493221282959, 1.2540283203125, 0.2578638792037964, -0.4801639914512634, -0.575198233127594, -0.3308402895927429, -0.2810927629470825, -0.8611025810241699, 0.45286253094673157, 0....
In this task, you will be presented with a context from an academic paper and a question separated with a . You have to answer the question based on the context. Input: Consider Input: To model an answer which is a collection of spans, the multi-span head uses the $\mathtt {BIO}$ tagging format BIBREF8: $\mathtt {B}$...
Output: ELIZA PARRY A.L.I.C.E. Cleverbot
2
NIv2
task460_qasper_answer_generation
fs_opt
[ 0.20777738094329834, -0.11487827450037003, -0.4283701777458191, 0.06901299208402634, 0.31341075897216797, -0.23262663185596466, 0.7896661758422852, 0.6509053111076355, -0.34918051958084106, 0.24877740442752838, -0.27339866757392883, 0.4720143973827362, -0.27104753255844116, 0.2919753789901...
You are given a sentence in English. Your job is to translate the English sentence into Japanese. Speaking of company failures: we're all familiar with the failure of Kodak, the company that declared bankruptcy in January 2012.
企業の失敗と言えばコダックの失敗が有名でしょう倒産を発表したのは 2012年の1月のことでした
0
NIv2
task1218_ted_translation_en_ja
zs_opt
[ -1.0961685180664062, 0.5349249839782715, -0.13226629793643951, -0.7970539331436157, 0.38164064288139343, -0.23971876502037048, 0.5516778230667114, 0.5133889317512512, -0.18139521777629852, -0.34014368057250977, 0.6329001784324646, -0.6933598518371582, -0.3580440282821655, 0.373597472906112...
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit...
0
4
NIv2
task956_leetcode_420_strong_password_check
zs_opt
[ 0.445112943649292, 1.3442327976226807, 0.19840186834335327, -0.8011816740036011, 0.12363278120756149, -0.2331620752811432, 1.4098446369171143, -0.42621126770973206, 0.08885949105024338, -0.8154310584068298, 0.1198749765753746, 0.0852997824549675, -0.9306498765945435, -0.4117409884929657, ...
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence. Q: પ્રધાનમંત્રી આવતીકાલે મહારાષ્ટ્રની મુલાકાત લેશે A:
പ്രധാനമന്ത്രി നാളെ മഹാരാഷ്ട്ര സന്ദര്‍ശിക്കും
9
NIv2
task1041_pib_translation_gujarati_malayalam
zs_opt
[ 0.6160433292388916, -0.10856127738952637, 0.257921040058136, -0.7693190574645996, -0.2719193398952484, -1.2606228590011597, 0.4766603112220764, -0.5331420302391052, -0.811494767665863, -0.2367587387561798, -0.8081305027008057, -0.22436638176441193, -0.24781523644924164, 0.3766666054725647,...
Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as...
jump left twice after jump around right twice
3
NIv2
task127_scan_long_text_generation_action_command_all
zs_opt
[ 0.15995806455612183, 0.8576233386993408, -0.5578227639198303, 0.07540129125118256, 0.011687684804201126, 0.3575827181339264, 0.2456245720386505, 0.7421075105667114, -0.31013739109039307, -0.308086097240448, -0.8842881917953491, -0.3852192759513855, -0.6209983825683594, -0.15600170195102692...
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. -------- Question: passage: The Southern Ocean, also known as the Antarctic Ocean or the Austral Ocean, comprises the southernmost waters of the World Ocean, genera...
Yes
7
NIv2
task380_boolq_yes_no_question
fs_opt
[ 0.1348189413547516, -0.1687934398651123, -0.4515043795108795, -0.1474580317735672, 0.21527495980262756, 0.3788127303123474, 0.5036677718162537, 0.689993143081665, -0.12920495867729187, -0.06900186836719513, 0.42239588499069214, -0.3854633569717407, -0.498369425535202, 0.21279019117355347, ...
You will be given a definition of a task first, then some input of the task. Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship. Relationship: 'be situate in', Argument/Subject 1: 'hotel', Argument/Subject 2: 'centre' Output:
Situated in Dublin City Centre , Brooks Hotel is a four-star designer/boutique hotel .
1
NIv2
task677_ollie_sentence_answer_generation
zs_opt
[ 0.1858588606119156, 0.21621236205101013, -0.23763670027256012, -0.16940301656723022, -0.12097708880901337, -0.20575837790966034, 0.27797189354896545, 0.4163651168346405, 0.7810020446777344, -0.4037928581237793, 0.3641001880168915, -0.04686100408434868, -0.639472246170044, -0.18307554721832...
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics...
0
7
NIv2
task1592_yahoo_answers_topics_classfication
fs_opt
[ -0.41288620233535767, -0.11284150928258896, 0.13660676777362823, -0.31938380002975464, 0.168849378824234, -0.14228487014770508, 0.1666070520877838, 0.05061390995979309, 0.10944294184446335, -0.33890458941459656, 0.0520906075835228, 0.09915633499622345, -0.8065222501754761, -0.6118544340133...
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati...
Output: similar pattern
2
NIv2
task075_squad1.1_answer_generation
fs_opt
[ 0.8523937463760376, -0.14332374930381775, -0.4427573084831238, -0.08598542213439941, 0.35672727227211, -0.8147144317626953, 0.421731173992157, 0.7162306308746338, 0.17035549879074097, -0.09450115263462067, -0.032533347606658936, -0.767980694770813, -1.0250040292739868, -0.3890075087547302,...
Definition: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question. Input: Question: What occurs when two waves combine and cancel each other out? Answer: destructive interference Output:
Destructive interference occurs when two waves combine and cancel each other out. This occurs when a peak in one wave lines up with a trough in the other wave.
2
NIv2
task593_sciq_explanation_generation
zs_opt
[ 0.15021058917045593, 0.832135021686554, -0.4569632112979889, -0.6346222162246704, 0.11981824785470963, -0.22122284770011902, -0.09781565517187119, 0.2733323872089386, 0.3224440813064575, 0.3114737868309021, -0.8135141134262085, -0.2355736494064331, -0.1537310779094696, -0.22417333722114563...
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an...
He told a really scary story.
5
NIv2
task067_abductivenli_answer_generation
fs_opt
[ 0.3038530647754669, 0.822211503982544, -0.6554597616195679, -0.21572503447532654, -0.25276699662208557, -0.5127671957015991, 0.9090976715087891, 0.679958701133728, -0.5147727727890015, -0.12004949152469635, -0.2612651586532593, 0.19973653554916382, -0.03347102552652359, -0.0973630249500274...
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 input...
H, Y, y, X, 15, 5921, 753, 6099
4
NIv2
task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately
zs_opt
[ 0.08106251060962677, 0.2613156735897064, 0.1877044141292572, -0.01180930994451046, -0.09667086601257324, -0.38966095447540283, 0.30237528681755066, 0.09168758988380432, 0.119986891746521, 0.2634408175945282, -0.4962442219257355, 0.14824102818965912, 0.1814662218093872, 0.050163134932518005...
You are given a statement written in Bengali. 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: বাংলাদেশের অন্যতম প্রধান কৌশলগত সামরিক মিত্র যুক্তরাষ্ট্র। এ প্রতিরক্ষা খাতের সহায়তা আঞ্চলিক শক্তিধর...
ত্রিশূরের
0
NIv2
task945_wiki_cloze_bn_multiple_choice_question_answering
fs_opt
[ 0.297285258769989, 0.8368070125579834, -0.4430156648159027, 0.29216182231903076, -0.1845087856054306, -0.4817942976951599, 0.07914842665195465, 1.0425081253051758, 0.4208698272705078, 0.3232213258743286, -0.1612863838672638, 0.31903761625289917, -0.22770071029663086, -0.21451719105243683, ...
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 on your judgment. On...
Inversion
6
NIv2
task428_senteval_inversion
fs_opt
[ -0.42135411500930786, 0.606063723564148, 0.5052152276039124, -0.19750018417835236, -0.1616634726524353, -0.1646159291267395, 1.1126291751861572, 0.14946962893009186, 0.30221012234687805, -0.4757612943649292, -1.0159435272216797, -0.48189830780029297, -0.7962809205055237, 0.1481582075357437...
Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when tra...
Ako možemo to dvoje zajedno spojiti u sigurnom prostoru, navesti ih da rade zajedno, možemo isporučiti javna dobra trenutno, ili u ekstremno kratkoj ponudi.
3
NIv2
task1365_opustedtalks_translation
zs_opt
[ -0.44220390915870667, 1.0023021697998047, -0.2712469696998596, 0.29508763551712036, 0.11719333380460739, -0.8363009095191956, 0.33239609003067017, 0.02845585346221924, -0.13786426186561584, -0.15881651639938354, -0.03292635828256607, 0.23979149758815765, -0.34792789816856384, 0.00796199124...
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 write the character's motivation by doing a specific job, which is given in the sentence. Y...
None
6
NIv2
task294_storycommonsense_motiv_text_generation
fs_opt
[ -0.056127943098545074, 0.06155462935566902, -1.0810920000076294, 0.05964057520031929, 0.4623066782951355, -0.09993588924407959, 0.5759260058403015, 0.8030526638031006, 0.43067634105682373, -0.35993945598602295, -0.7214547991752625, 0.41570085287094116, -0.06194566935300827, 0.0393812060356...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish. Ex Input: با صدها مورد ، همه اپیدمی ‌ های پیشین را تحت ‌ الشعاع قرار داده بود. Ex Output: Setki zachorowań przyćmiły poprzednie wybuchy. Ex Input: باید آن دانش و مهارت به کار گرفته شوند ، باید به دنیای بیرون از آن دهکده ها...
Uświadomiłem sobie, że być może Zachód nie będzie dominował nad światem w nieskończoność.
1
NIv2
task1272_ted_translation_fa_pl
fs_opt
[ -0.7540826201438904, 0.5293784141540527, -0.5363045930862427, 0.1606263518333435, -0.6719332933425903, -0.20802545547485352, 0.7134861946105957, 0.32481148838996887, 0.24612945318222046, -0.3675708770751953, -0.928166925907135, 1.1302015781402588, -0.07256723195314407, 0.5183482766151428, ...
Translate from English to Hindi. Example input: Go to the employment office. Example output: रोजगार कार्यालय जाओ. Example explanation: The translation is accurate. Q: He's an educated man? A:
वह एक शिक्षित व्यक्ति है.
3
NIv2
task1329_open_subtitles_en_hi_translation
fs_opt
[ -0.5549614429473877, 0.24108538031578064, 0.17202679812908173, -0.3504483699798584, 0.3925042748451233, -0.8914139866828918, 0.07443836331367493, -0.07790139317512512, 0.10162118822336197, 0.1586158126592636, 0.028239060193300247, -0.16360749304294586, -0.1780565083026886, 0.32358601689338...
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian. Teacher: Now, understand the problem? If you are still confused, see the following example: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmen...
Un beneficio immediato.
2
NIv2
task1280_ted_translation_pt_it
fs_opt
[ -0.4094845652580261, 0.7799102067947388, 0.293107807636261, -0.3418338894844055, 0.00917996559292078, -1.0385020971298218, -0.6507606506347656, 1.4559835195541382, -0.32436585426330566, 0.10057355463504791, -0.5601263046264648, 0.19156405329704285, -0.31051450967788696, -0.3693774342536926...
Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction. Problem:Mary furnished a team the news Solution:
Mary furnished the news to a team
8
NIv2
task132_dais_text_modification
zs_opt
[ -0.3144938349723816, 0.7418546080589294, -0.016310058534145355, 0.3859550952911377, 0.022660132497549057, -0.7142014503479004, -0.023104999214410782, 0.5491003394126892, 0.1630382388830185, -0.6205252408981323, -0.6743854284286499, -0.1773339956998825, -0.13159550726413727, 0.1410260945558...
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time. Ex Input: Men hur använder vi det krismedvetande som den...
Swedish
1
NIv2
task315_europarl_sv-en_language_identification
fs_opt
[ -0.4735974669456482, 0.47345006465911865, 0.5460953712463379, -0.41288840770721436, -0.22958289086818695, -0.7049523591995239, 0.08585900813341141, 0.9158616065979004, 0.3233439028263092, -0.09055732935667038, -0.3847413659095764, 0.37705400586128235, -0.2936975359916687, -0.51961493492126...
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about. [Q]: Who did boxer Floyd Patterson defeat to regain the Heavyweight Championship in June 1960? [A]: boxing [Q]: Which American city has baseball-playing 'Dodgers'? [A]: los angeles dodgers [Q...
bathsheba
5
NIv2
task899_freebase_qa_topic_generation
fs_opt
[ 1.0348381996154785, 0.4488680958747864, -0.4983903765678406, -0.44312378764152527, -0.4778750538825989, -0.5220177173614502, 1.1254041194915771, 0.2769249677658081, 1.199653148651123, -0.7117189168930054, -0.8978596329689026, 0.7152591347694397, -1.2168049812316895, -0.23292772471904755, ...
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable...
Bạn sẽ thử sức lực của bạn vì bạn cho một thử thách.
3
NIv2
task411_mickey_vi_sentence_perturbation_generation
zs_opt
[ -0.03606601431965828, 0.618496298789978, 0.0015609338879585266, -0.47748470306396484, -0.30429959297180176, -0.5999175310134888, 0.8326162695884705, 0.8886525630950928, 0.21871480345726013, -0.18275240063667297, -0.773810863494873, 0.082268625497818, -0.48350903391838074, 0.100452817976474...
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list. Q: [[-8, 10, -2], [-5, 24, 30, -13]] A:
[160, 46800]
4
NIv2
task371_synthetic_product_of_list
zs_opt
[ -0.4638190269470215, -0.013963611796498299, -0.8991586565971375, -0.5743088722229004, -0.006180017255246639, -0.4545920491218567, 1.5830755233764648, 0.09971361607313156, -0.5470939874649048, -0.24833112955093384, -0.7492937445640564, 0.6072347164154053, -0.5145403146743774, -0.49216884374...
Detailed Instructions: In this task, you are to Translate German text to English Problem:Das beschriebene Pigment zeichnet sich gegenüber dem Stand der Technik durch ver­besserten Glanz, geringeren Weißgrad bzw. Solution:
According to the invention, means for viscosity adjustment and surface conditioning of the pigment are also provided.
8
NIv2
task841_para_pdt_de_en_translation
zs_opt
[ -0.22841167449951172, 0.004908421076834202, -0.0003646930563263595, -0.8991101980209351, -0.38020431995391846, -0.3440130054950714, -0.007479086518287659, 0.9650965332984924, 0.13074809312820435, 0.4462481141090393, -0.7183088064193726, -0.0019351472146809101, 0.05027925223112106, 0.467444...
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, 16, 32, 64, ...
[256, 1024, 4096, 2048, 8, 64]
4
NIv2
task1444_round_power_of_two
zs_opt
[ -0.806708812713623, 1.683603286743164, 0.20650658011436462, -0.29441317915916443, -0.4457162618637085, 0.3694140911102295, 0.640272319316864, -0.01936940662562847, 0.0643327385187149, 0.4435119926929474, -0.295177698135376, 0.9095264673233032, -0.09559257328510284, -0.08716782927513123, ...
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t...
woman
6
NIv2
task1518_limit_answer_generation
fs_opt
[ -0.18483328819274902, 0.5077443718910217, 0.23389966785907745, 0.39472222328186035, -0.5028718113899231, -0.027547433972358704, 0.30888086557388306, 0.6523418426513672, -0.04413668066263199, -0.3803873658180237, -0.9519287943840027, -0.5701624155044556, -0.6230295896530151, -0.308884203433...
Teacher: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 ...
यदि आप एक फिल्म जीना चाहते हैं तो आप टीवी पर बारी करना चाहिए.
6
NIv2
task407_mickey_hi_sentence_perturbation_generation
zs_opt
[ 0.06954802572727203, 0.5244672894477844, 0.3373659551143646, 0.35948899388313293, -0.05207297205924988, -0.3711378574371338, 0.8345731496810913, 0.5638436675071716, -0.2837180197238922, -0.9197595119476318, -0.4529620110988617, -0.19493526220321655, -0.3560507297515869, 0.01361457724124193...
Detailed Instructions: 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 ...
VERB
9
NIv2
task583_udeps_eng_coarse_pos_tagging
zs_opt
[ 0.6183834671974182, 0.39657360315322876, -0.10382923483848572, 0.044992268085479736, -0.002170508960261941, -0.6716223359107971, 0.862853467464447, 0.7463072538375854, -0.20941373705863953, -0.05392663925886154, -0.3387216031551361, 0.11827773600816727, -0.6860331296920776, 0.6272405982017...
You are given a sentence in English. Your job is to translate the English sentence into Persian. Q: They are working to create a new imagination about shared life among young Jews and Muslims, and as they do that, they cultivate what they call "curiosity without assumptions." A:
آنها بر روی خلق تصوری جدید کار می کنند در باره زندگی مشترک میان جوانان مسلمان و یهودی ، و در این مسیر به ترویج آنچه « کنجکاوی بدون پیش فرض » می نامند هستند.
4
NIv2
task1093_ted_translation_en_fa
zs_opt
[ -0.530022382736206, 0.40565401315689087, 0.18868514895439148, 0.36324554681777954, -1.0835630893707275, 0.22568479180335999, 1.1713368892669678, 0.1086827889084816, 0.6991395354270935, -0.21638885140419006, -0.26474887132644653, 0.21360841393470764, -0.8637588024139404, -0.1208287999033927...
Detailed Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story. Problem:Sentence1: She went home, her face swollen from the surgery. Sentence2: She took painkillers and decided to work anyway. Sentence3: She ...
Employer
8
NIv2
task292_storycommonsense_character_text_generation
zs_opt
[ 0.023893281817436218, 0.741558313369751, -0.48456352949142456, -0.3792049288749695, 0.13328173756599426, -0.10844152420759201, 0.3850315809249878, 0.38852187991142273, 0.5593010187149048, -0.21019582450389862, -0.30986279249191284, -0.43340829014778137, -0.10577040910720825, 0.160500258207...
Given a scientific passage and an answer, generate a question for the given answer. Q: Passage: The strength of an acid depends on how many hydrogen ions it produces when it dissolves in water. A stronger acid produces more hydrogen ions than a weaker acid. For example, sulfuric acid (H 2 SO 4 ), which is found in car ...
The strength of an acid depends on how many of which ions it produces when it dissolves in water?
4
NIv2
task594_sciq_question_generation
zs_opt
[ 0.34704434871673584, 1.146438479423523, -0.3171387016773224, -0.8268864154815674, 0.2719464898109436, -1.696150779724121, 0.5052194595336914, 0.7153546810150146, 0.7133138179779053, -0.41051989793777466, -0.26924842596054077, -0.5624784827232361, -0.5050826072692871, -0.4346713423728943, ...
Instructions: In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement. Input: Fact: a scale is used for measuring weight. Question: A scale is used to measure what? Output...
fatness
3
NIv2
task1399_obqa_answer_generation
zs_opt
[ 0.33582669496536255, 1.082719087600708, -1.343526005744934, -0.29884806275367737, -0.07867249846458435, -0.7059366703033447, -0.1284475028514862, 0.778266191482544, 0.031414374709129333, -0.12780216336250305, -0.8688702583312988, 0.769245445728302, -0.8215751647949219, 0.3484170436859131, ...
Q: 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. Ok so just so you know...
being rude and ignoring my autistic possibly trans stalker
7
NIv2
task500_scruples_anecdotes_title_generation
zs_opt
[ 0.38701432943344116, 0.14794188737869263, 0.027521800249814987, -0.11924019455909729, 0.24104450643062592, -0.15159572660923004, 0.3506382703781128, 1.2041527032852173, 0.161845862865448, 0.06942056119441986, -0.011304549872875214, 0.1820439100265503, -0.572810709476471, 0.2119163274765014...
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'. Example: Person1: Passport , please , madam . Person2: Just a minute , please . It's in my bag . Here it is . Person...
Solution: 0
5
NIv2
task1534_daily_dialog_question_classification
fs_opt
[ 0.7612344026565552, 0.08636310696601868, -0.26514628529548645, 0.3424161374568939, 0.20948322117328644, -0.641472339630127, 0.4773174822330475, 0.2723639905452728, -0.2047167718410492, 0.2453281730413437, -0.2417019009590149, -0.2496204376220703, -0.09579488635063171, -0.08856897056102753,...
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin...
Sadie hated the cost of going but knew the treatment was necessary.
3
NIv2
task071_abductivenli_answer_generation
fs_opt
[ 0.04808831959962845, 1.0068237781524658, 0.15567880868911743, -0.7894408702850342, -0.49732232093811035, -0.13856396079063416, 0.9109692573547363, 0.4701324999332428, -0.03660835325717926, -0.616202712059021, -0.7381106615066528, 0.21798911690711975, 0.13983626663684845, -0.259858161211013...
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ...
Output: negative
2
NIv2
task527_parsinlu_food_overal_classification
fs_opt
[ -0.7767832279205322, 0.021316464990377426, 0.0958363264799118, 0.2297491878271103, -0.09783836454153061, 0.41825565695762634, 1.044147253036499, 0.22504128515720367, 0.5375255346298218, 0.20949852466583252, -0.47520363330841064, -0.08646506071090698, -0.4589316248893738, 0.1263550966978073...
You will be given a definition of a task first, then some input of the task. In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classi...
(A)
1
NIv2
task302_record_classification
zs_opt
[ 1.2584681510925293, -0.4124622941017151, -0.19452476501464844, -0.2575187087059021, 0.42593562602996826, -0.19888043403625488, 1.6482348442077637, 0.6698727011680603, -0.3342987298965454, 0.36937665939331055, -0.19824841618537903, 0.17470920085906982, -0.3381153345108032, 0.615315198898315...
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase. Problem:À la mort de Roger, son fils - William de Roumare, comte de Lincoln - hérite du manoir. Solution:
Roger의 죽음 후에, 그의 아들은 상속했다 - 링컨의 백작 윌리엄 de Roumare - 영주 저택.
8
NIv2
task790_pawsx_french_korean_translation
zs_opt
[ -0.15764091908931732, 1.1183325052261353, -0.20214684307575226, -1.074936866760254, -0.07407785952091217, -0.44125908613204956, 0.37064749002456665, 0.3812279999256134, 0.5919462442398071, -0.594310998916626, 0.5180357694625854, 0.3063637912273407, -0.6117310523986816, 0.9802866578102112, ...
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian. Teacher: Now, understand the problem? Solve this instance: پس ما هم میریم همون 'یه قسمت دیگه' "" خوب او خیلی خسته بود و کار واقعا خسته کننده است. Student:
Andiamo a cercare altrove "". Beh, era molto stanco, e tutta la faccenda era decisamente stancante.
6
NIv2
task1271_ted_translation_fa_it
zs_opt
[ -0.19806872308254242, 1.0683835744857788, -0.15288417041301727, -0.7256220579147339, -0.33077573776245117, -0.41449567675590515, 0.27114230394363403, 0.7809183597564697, 0.11691020429134369, -0.42643457651138306, -0.8605199456214905, 0.09946468472480774, -0.17744040489196777, 0.11608555912...
Detailed Instructions: 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". See one example below: Problem: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。 L...
Yes
4
NIv2
task1126_alt_ja_lo_answer_generation
fs_opt
[ -0.36825233697891235, -0.18467256426811218, -0.044926099479198456, 0.05863450467586517, -0.2578442692756653, -0.6153906583786011, 0.19610074162483215, 0.17033696174621582, -0.43019378185272217, -0.6055079698562622, -0.556862473487854, 1.298264503479004, -0.5179772973060608, 0.7688699960708...
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ...
London
0
NIv2
task303_record_incorrect_answer_generation
zs_opt
[ 0.023019440472126007, 0.8082014918327332, 0.5063490867614746, -0.22276218235492706, 0.3196962773799896, -0.2749246060848236, 0.67402184009552, 0.7912598848342896, 1.1449922323226929, 0.05124904587864876, 0.12114283442497253, 0.4979069232940674, -0.40051349997520447, 0.28373295068740845, ...
Part 1. Definition In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". Part 2. Example English: Details were given by the UK Transport S...
Yes
7
NIv2
task437_alt_en_ja_answer_generation
fs_opt
[ 0.1460062861442566, -0.3682819902896881, 0.17299163341522217, 0.1765420138835907, 0.09682661294937134, -0.3576394319534302, 0.4348938763141632, 0.34981769323349, -0.6541030406951904, -0.6627910137176514, 0.3117605745792389, 1.0854518413543701, -0.2633335590362549, 0.7878430485725403, -0....
Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words. Input: Sentence: 'a plate of food including grilled meat baked potato carrots and lima beans'. How many words end with the letter 'o' in the sentence. Output:
1
3
NIv2
task163_count_words_ending_with_letter
zs_opt
[ 0.053864337503910065, 1.1356823444366455, -0.46262893080711365, -0.34692203998565674, -0.524838924407959, -0.45881861448287964, -0.0019271725323051214, 0.25559088587760925, 0.16616880893707275, -0.8144612312316895, -0.030402014032006264, -0.013509400188922882, -0.34036868810653687, 0.01554...
Instructions: 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 answer the given question. Choose the best option from the 5 given...
Option E
3
NIv2
task750_aqua_multiple_choice_answering
zs_opt
[ 0.6117473244667053, 0.363536536693573, -0.41679972410202026, -0.46072307229042053, -0.17310327291488647, 0.004965024534612894, 0.8512216806411743, 0.6957577466964722, -0.15874946117401123, -0.4897264242172241, -0.8459203243255615, -0.3138100504875183, -0.4255759119987488, -0.51973414421081...