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TASK DEFINITION: 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. PROBLEM: CONTEXT: Petrografía Según un estudio publicado en la revista especializada G...
Caja Rural de Asturias
8
NIv2
task1334_sqac_answer_generation
fs_opt
[ 0.9058407545089722, 0.761867105960846, -0.8121336698532104, -0.2349873036146164, 0.23805969953536987, -0.6752235889434814, 0.5483587980270386, 0.794376015663147, -0.15593039989471436, 0.205825537443161, -0.6316419839859009, 1.1429719924926758, -0.7977638244628906, 0.35633519291877747, 0....
instruction: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False". question: Paragraph: Background: Bacterial...
True
9
NIv2
task1162_coda19_title_classification
fs_opt
[ 0.39343467354774475, 0.146589994430542, -0.4241620600223541, 0.7601436972618103, 0.41231319308280945, -0.23550760746002197, 0.6335196495056152, 0.6259890794754028, -0.10684333741664886, 0.060580767691135406, -0.12607955932617188, 0.4748922288417816, 0.3427981436252594, 0.4157506227493286, ...
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...
A group of people are sitting on a public tranport vehicle
0
NIv2
task189_snli_neutral_to_contradiction_text_modification
fs_opt
[ -0.8774300813674927, 0.5731048583984375, 0.2901557683944702, -0.8074023127555847, -0.6310141086578369, -0.10033205151557922, 0.018117055296897888, 1.012312650680542, 0.0002357263583689928, -0.37098824977874756, -0.8691978454589844, -0.5709054470062256, -0.31030187010765076, -0.312399059534...
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence. See one example below: Problem: ভুয়ো সংস্থাগুলির ব্যাপারে ভয় দূর করতে গঠিত টাস্কফোর্স উপযুক্ত ও সমন্বয়মূলক ব্যবস্থা গ্রহণ করেছে...
ਮਿੱਤਰੋ, ਸੁਆਮੀ ਵਿਵੇਕਾਨੰਦ ਨੇ ਆਪਣੇ ਭਾਸ਼ਣ ਰਾਹੀਂ ਪੂਰੇ ਵਿਸ਼ਵ ਨੂੰ ਭਾਰਤੀ ਸੱਭਿਆਚਾਰ ਦਰਸ਼ਨ ਅਤੇ ਪ੍ਰਾਚੀਨ ਪਰੰਪਰਾਵਾਂ ਦੀ ਰੋਸ਼ਨੀ ਪ੍ਰਦਾਨ ਕੀਤੀ।
4
NIv2
task1025_pib_translation_bengali_punjabi
fs_opt
[ -0.020356783643364906, 0.014102841727435589, -0.3364696502685547, 0.6450165510177612, -0.23725882172584534, -0.8958526849746704, 1.163631796836853, 0.6387994289398193, -0.4962267279624939, 0.5191373825073242, -0.897852897644043, -0.15497161448001862, -0.252746045589447, -0.0292491223663091...
Definition: In this task, we are given a sentence in either 'English' or 'Kurdish' languages and we have to determine what the language of the sentence is as output Input: *Wêne: AA - Enqere / Murat Kaynak Output:
Kurdish
2
NIv2
task912_bianet_classification
zs_opt
[ -0.3624635934829712, 0.7959028482437134, 0.8083179593086243, -0.8774689435958862, -0.4936622381210327, -0.5128148794174194, 0.45487290620803833, 0.137031689286232, 0.6593608856201172, 0.31578710675239563, -0.160308375954628, 0.1031968891620636, -0.5233665704727173, 0.6728159189224243, 0....
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language. Q: Most of those surveyed said that the European Union is out of touch, corrupt and is poor value for money; 83% of those polled want UK law to be paramount and, therefore, to revok...
Повечето от участниците в проучването са заявили, че Европейският съюз е недостъпен, корумпиран и твърде скъп; 83 % от анкетираните искат правото на Обединеното кралство да бъде от първостепенно значение и следователно отхвърлят върховенството на правото на ЕС, а 71 % искат референдум за продължаване на британското чле...
4
NIv2
task272_europarl_translation
zs_opt
[ -0.28854238986968994, 1.1885559558868408, 0.07282157242298126, -0.7636318206787109, 0.040300402790308, -0.9245116710662842, 0.5878897309303284, 0.1486121416091919, -0.017503809183835983, 0.08747144043445587, 0.26967352628707886, 0.8978098630905151, -0.7365840673446655, -0.5546137690544128,...
Teacher:This task is about translating a given Spanish language sentence to English. Teacher: Now, understand the problem? Solve this instance: Onu korkunç bir zombi yapmaktı amacı. Student:
In the hopes of creating a horrible zombie
6
NIv2
task1692_qed_amara_translation
zs_opt
[ -0.07982438057661057, 0.5701004862785339, 1.0481938123703003, -0.965177059173584, 0.18608613312244415, -0.5321413278579712, 0.5987983345985413, 0.4790491461753845, 0.41326022148132324, -0.49414706230163574, 0.3388381898403168, 0.47012829780578613, -0.7997956275939941, -0.4032459557056427, ...
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev...
No
4
NIv2
task1211_atomic_classification_hassubevent
fs_opt
[ 0.3563176095485687, 0.1396259069442749, 0.20234864950180054, 0.22879323363304138, -0.41028445959091187, -0.8220144510269165, 1.1726505756378174, 0.6408180594444275, -0.666978120803833, -0.16188573837280273, -0.2527967095375061, -0.3913639187812805, -0.6574913859367371, 0.3096538782119751, ...
Detailed Instructions: The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness']. Problem:SENTENCE: My aunt found herself in an <blank> situation. EMOTIO...
My aunt found herself in an irritating situation.
8
NIv2
task1339_peixian_equity_evaluation_corpus_text_completion
zs_opt
[ -0.22972387075424194, 0.18832457065582275, -0.01703960821032524, -0.3098644018173218, -0.2873624265193939, -0.8780890703201294, 0.8664004802703857, 0.8099563121795654, 0.44294673204421997, -0.04906328022480011, -0.1802441030740738, -0.303993284702301, -0.6624100208282471, 0.524001955986023...
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew. See one example below: Problem: Monterey is one of those. Solution: מונטריי היא אחת מהם. Explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translat...
זה יוצא מן הכלל.
4
NIv2
task1221_ted_translation_en_he
fs_opt
[ -0.12722693383693695, 0.5635961294174194, 0.4773638844490051, -0.6591978073120117, -0.4668049216270447, -0.8012808561325073, 0.6081640720367432, 0.011746857315301895, 0.9663963317871094, -0.25357967615127563, -0.5132290124893188, 0.3006058633327484, -1.0310709476470947, 0.08384168893098831...
In this task you will break down a question into the basic steps required to answer it. A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ...
#1 return flights #2 return #1 serviced by american airlines
0
NIv2
task176_break_decompose_questions
fs_opt
[ 0.6110371351242065, -0.2146575152873993, -0.9624199867248535, 0.28924858570098877, -0.09690123796463013, -0.463618665933609, 1.210877537727356, 0.1810428947210312, -0.2109348475933075, 0.4654120206832886, -0.5016183853149414, 0.21602459251880646, -0.24148693680763245, 0.4589557349681854, ...
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 either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages ​​at the same time. Clea...
English
1
NIv2
task533_europarl_es-en_language_identification
zs_opt
[ -0.6013433933258057, 0.5769715905189514, 0.7220798134803772, -0.206454798579216, 0.13231372833251953, -0.24415932595729828, -0.05184343457221985, 0.7640776038169861, -0.06383777409791946, -0.6116130352020264, 0.4201014041900635, -0.12636138498783112, 0.17616680264472961, -0.335063159465789...
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli...
green_bucket ****
4
NIv2
task153_tomqa_find_location_hard_clean
fs_opt
[ 0.49241316318511963, -0.3277522325515747, -0.469970166683197, 0.32935231924057007, -0.10313935577869415, -0.5216301083564758, 0.08876662701368332, 0.9359517097473145, 0.1442890465259552, -0.25440460443496704, 0.1696828305721283, 0.4476768970489502, 0.29206231236457825, 0.24437198042869568,...
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English. One example is below. Q: 第一にキリバス共和国が彼ら自身の利益になると理解したからです A: And it was primarily because Kiribati realized that this was in their own self-interest to do this. Rationale: The Japanese sentence is correctly translated into ...
PS: Okay, when I say three, we move.
9
NIv2
task1222_ted_translation_ja_en
fs_opt
[ 0.5880036950111389, 0.26924851536750793, -0.19014319777488708, -0.452486515045166, -0.26364606618881226, -0.997666597366333, 1.0546252727508545, -0.4091312885284424, -0.050863802433013916, -0.2959063649177551, -0.6132311820983887, 0.2733469009399414, -0.557289719581604, 0.41295239329338074...
Given the task definition, example input & output, solve the new input case. In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/techno...
World
1
NIv2
task379_agnews_topic_classification
fs_opt
[ -0.5697914958000183, 0.7718169689178467, -0.5627793669700623, 0.6638880372047424, -0.08936494588851929, 0.42146965861320496, -0.6007300615310669, 0.6753768920898438, -0.38950660824775696, 0.18805977702140808, -0.5276427268981934, 0.4023974537849426, 0.6231591701507568, -0.13528114557266235...
Teacher:Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link]. Teacher: Now, understand the problem? Solve this instance: The Cook County medical examiner's office h...
Medical examiner: Kenneka Jenkins died from exposure and her death was an accident
6
NIv2
task418_persent_title_generation
zs_opt
[ 0.5578999519348145, 0.26367878913879395, -0.891417920589447, 0.13413769006729126, 0.49297869205474854, -1.052187204360962, 0.09422653913497925, 0.8560217618942261, -0.8325884342193604, 0.16883009672164917, 0.540358304977417, 0.41230806708335876, -0.3272325396537781, 0.7528626322746277, -...
Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment. Input: Je viens de voir le film "Ombres et Lumières" et je tiens vraiment à donner mon avis sur ce bijou. c'est un bon film original, très réussi, des a...
1
3
NIv2
task1591_allocine_classification
zs_opt
[ -0.30759215354919434, 1.0396134853363037, -0.22330310940742493, 0.11094873398542404, 0.18136480450630188, -0.6028674244880676, 0.42011481523513794, 0.22205516695976257, 0.31736019253730774, 0.14202475547790527, -0.7199487090110779, -0.4420550465583801, 0.038775861263275146, -0.466177880764...
Given the task definition, example input & output, solve the new input case. In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No". Example: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the...
Yes
1
NIv2
task566_circa_classification
fs_opt
[ -0.25839924812316895, 0.7006247043609619, 0.20173388719558716, 0.4413130581378937, 0.09936879575252533, -0.2936566472053528, 0.2986742854118347, 1.223684549331665, 0.22412899136543274, 0.25554966926574707, -0.12313874065876007, -0.20906823873519897, -0.5938894748687744, -0.3151199519634247...
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language. Experții în securitate avertizează că un nou vierme de e-mail de masă se extinde pe internet, uneori imitând un e-mail de la fondatorul Microsoft.
Security experts are warning that a new mass-mailing worm is spreading widely across the Internet, sometimes posing as e-mail from the Microsoft founder.
0
NIv2
task1435_ro_sts_parallel_language_translation_ro_to_en
zs_opt
[ -0.9583054184913635, 1.0513805150985718, 0.028567273169755936, -0.5607534646987915, -0.2675110697746277, 0.3540394902229309, 0.26289796829223633, 0.7458227872848511, 0.2623381018638611, -0.3338319957256317, 0.7704060077667236, 0.6631836295127869, -0.6517635583877563, -0.7431268095970154, ...
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is - ...
VERB
7
NIv2
task1168_brown_coarse_pos_tagging
zs_opt
[ 0.5489296317100525, 0.013863477855920792, -0.23114736378192902, 0.2419257014989853, -0.14910945296287537, -1.0638309717178345, 0.5804228782653809, 0.8223806619644165, -0.19992280006408691, 0.20932239294052124, -0.606434166431427, 0.16038334369659424, -0.6211813688278198, 0.3711270689964294...
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. Here are the defications ...
Solution: superlative
5
NIv2
task212_logic2text_classification
fs_opt
[ 0.21734875440597534, -0.3305774927139282, -0.34952855110168457, 0.3283860385417938, 0.43500226736068726, -0.5157856941223145, 0.7778803110122681, 0.7112768888473511, 0.3063529431819916, -0.011241728439927101, -0.11098136007785797, 0.10562814772129059, 0.03631257265806198, 0.408389359712600...
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words. Input: Consider Input: Puppies can start vaccinations at _ weeks. Output: six Input: Consider Input: Most men die within _ years. Output: three Input: Consider Input: Infertility affects about _ in si...
Output: one
2
NIv2
task672_nummersense
fs_opt
[ -0.23441770672798157, 0.9959443807601929, 0.09488700330257416, -0.38292765617370605, -0.9138530492782593, -0.32813575863838196, 0.4166267216205597, 0.6333720088005066, 0.5904010534286499, -0.6514051556587219, -0.31702518463134766, 0.970718264579773, -0.18626204133033752, 0.1586761176586151...
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it. A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ...
#1 return Wendell Tyler #2 return rushing touchdowns of #1 #3 return receiving touchdowns of #1 #4 return number of #2 #5 return number of #3 #6 return the difference of #4 and #5
8
NIv2
task176_break_decompose_questions
zs_opt
[ 0.9887001514434814, -0.41716358065605164, -0.8416404724121094, 0.788361668586731, 0.5043410658836365, -0.16009554266929626, 1.2314283847808838, 0.5143566131591797, -0.5490565299987793, 0.0891977995634079, -0.4929054379463196, -0.019737165421247482, 0.017817722633481026, 0.7287396788597107,...
Detailed Instructions: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please be...
The Japan branch has confirmed that no Jehovah’s Witnesses died.
9
NIv2
task1620_menyo20k-mt_yo_en_translation
zs_opt
[ -0.9731932878494263, -0.008605917915701866, -0.16694992780685425, 0.14249804615974426, 0.07504956424236298, -0.3826550841331482, 0.6688748598098755, 0.3637217879295349, 0.11433925479650497, -0.5697344541549683, 0.16462579369544983, 0.8205660581588745, -0.6253663301467896, 0.508306205272674...
Teacher: 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 of the number for example '1726' will be 'onese...
548658
2
NIv2
task1443_string_to_number
fs_opt
[ 0.015595966950058937, 0.6452186107635498, -0.3513008952140808, -1.0906908512115479, -0.22092270851135254, -0.6741732954978943, 0.6687393188476562, 0.5557705163955688, -0.1880648136138916, -0.31461668014526367, -0.48787009716033936, 0.4091950058937073, -1.6518319845199585, -0.64651036262512...
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi...
Against
3
NIv2
task1646_dataset_card_for_catalonia_independence_corpus_text_classification
fs_opt
[ 0.3267803192138672, 0.2154015749692917, -0.19221076369285583, -0.044817764312028885, 0.24468007683753967, -0.5538063049316406, 0.6566060781478882, 0.9465063810348511, 0.2052917629480362, 0.16687345504760742, -0.4115488529205322, 0.03561530262231827, 0.1487438976764679, -0.229515939950943, ...
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian. Problem:私たちが提案したのは斬新で — 現地に馴染んでいるどの建物とも異なるもので私たちもクライアントもとても不安でした地元の方も警戒していましたそこで私たちが作ったのが写真に近い完成予想図でこれをFacebookやインスタグラムに載せて流れに任せてみましたシェアやコメントをしたり「いいね ! 」がついたり嫌われたりという具合です Solution:
Abbiamo proposto un edificio audace, diverso da qualunque forma a cui era abituata la comunità, e avevamo paura, sia noi che il cliente che la comunità stessa, così abbiamo creato una serie di rendering che abbiamo messo su Facebook e su Instagram, e abbiamo lasciato decidere alla gente: potevano condividerli, commenta...
8
NIv2
task1096_ted_translation_ja_it
zs_opt
[ 0.3467264175415039, 0.632314920425415, -0.00705741299316287, -0.25656914710998535, -0.14789822697639465, -0.7678416967391968, 0.12341830134391785, 1.1079776287078857, 0.5552420616149902, 0.16640892624855042, 0.026614530012011528, 0.49280524253845215, -0.6747661232948303, 0.3572100400924682...
Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the...
bc
3
NIv2
task221_rocstories_two_choice_classification
zs_opt
[ -0.27202683687210083, 0.5133039951324463, -0.2779075503349304, -0.13144774734973907, 0.3176799416542053, 0.36899399757385254, 0.19422081112861633, 0.9768147468566895, -0.5761204957962036, 0.6730912923812866, -0.13256540894508362, -0.03591224551200867, -0.02674778923392296, -0.2065680623054...
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English. Input: そこでピースダイレクトは現地住民の活動を支援しました例えば市民軍の解体や経済の再建難民の定住化少年兵の解放などです Output:
And the kind of thing they're doing is demobilizing militias, rebuilding economies, resettling refugees, even liberating child soldiers.
3
NIv2
task1222_ted_translation_ja_en
zs_opt
[ -0.20023146271705627, -0.25511032342910767, -0.32388168573379517, -0.05481570586562157, -0.25796234607696533, -1.4248809814453125, 0.6613175272941589, -0.2726996839046478, 0.7171023488044739, 0.6355396509170532, -0.11370719224214554, 0.10378872603178024, -0.05688660964369774, -0.6568285226...
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam...
Clive: B-PER, Davis: I-PER, Santana: B-PER, Arista-label: B-MISC, Supernatural: B-MISC
6
NIv2
task1544_conll2002_named_entity_recognition_answer_generation
fs_opt
[ -0.41016048192977905, -0.34173744916915894, 0.06840991973876953, -0.09698721021413803, -0.23560939729213715, -0.3239991068840027, 0.25052085518836975, -0.045602038502693176, 0.13930396735668182, 0.04353020340204239, -0.739182710647583, 0.213645339012146, 0.042947035282850266, -0.1206713169...
Teacher:In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be r...
[878]
6
NIv2
task372_synthetic_palindrome_numbers
zs_opt
[ -1.0168702602386475, -0.025167638435959816, -0.18739280104637146, -0.6703914403915405, -0.20154941082000732, 0.3757643699645996, 0.9430128335952759, 0.08023788034915924, -0.5870708227157593, -0.07287251949310303, -0.2042415291070938, -0.5012606382369995, -0.38874566555023193, -0.6453440189...
In this task, you will be presented with an English sentence, and you have to translate it into Arabic. Let me give you an example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them. The answer to this example can be: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم. Here i...
مرحباً، عزيزي.
8
NIv2
task651_opus100_en_ar_translation
fs_opt
[ 0.4615011215209961, 0.580322265625, -0.01642676256597042, -0.9760093688964844, -0.25681033730506897, -0.5171331167221069, 0.9540812969207764, 0.15647359192371368, 0.3337195813655853, -0.6643889546394348, -0.40104836225509644, 0.6332464218139648, -0.6794895529747009, -0.2899511158466339, ...
Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, ans...
for
3
NIv2
task1727_wiqa_what_is_the_effect
zs_opt
[ -0.7071775197982788, 0.4155160188674927, -0.46398717164993286, 0.23603570461273193, -0.6574429273605347, -0.6342311501502991, -0.286291241645813, 1.1653861999511719, -0.01642393320798874, 0.032472070306539536, -0.004988678731024265, -0.22380053997039795, -1.4411168098449707, 0.182491704821...
Instructions: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language. Input: O femeie stoarce niște felii de castravete. Output:
A woman is squeezing some cucumber slices.
3
NIv2
task1435_ro_sts_parallel_language_translation_ro_to_en
zs_opt
[ 0.26978418231010437, 0.9912359714508057, -0.03660348430275917, 0.11004394292831421, 0.15816397964954376, 0.004942002706229687, 0.4283906817436218, 0.7708615660667419, 0.7946512699127197, -0.13007085025310516, -0.030138619244098663, 0.18690183758735657, -0.7433961629867554, -0.0496649853885...
You will be given a definition of a task first, then some input of the task. You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No". Sentence1: He was in Cincinnati helping another daughter move when the tragedy occurred , friends sa...
Yes
1
NIv2
task1288_glue_mrpc_paraphrasing
zs_opt
[ -0.6327362060546875, 0.8028161525726318, 0.3060961067676544, 0.2468416839838028, -0.13329626619815826, -0.2994522452354431, 0.3124937415122986, 1.2838921546936035, 0.4381639361381531, 0.03766404837369919, -0.6948447227478027, -0.23871365189552307, -0.13107609748840332, 0.250910222530365, ...
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal...
False
0
NIv2
task403_creak_commonsense_inference
zs_opt
[ -0.7587661743164062, 0.47675126791000366, -0.18306922912597656, -0.0850849375128746, -0.30475324392318726, -1.2097587585449219, 0.10479561239480972, 0.9588233232498169, 0.5705806016921997, -0.057126738131046295, -0.5853922367095947, -0.40498000383377075, -0.4036516845226288, 0.145100235939...
Given the task definition and input, reply with output. In this task, you are given a paragraph and question in Chinese, and your task is to generate the right answer for the given question from the passage. Construct an answer in such a way that (i) it is unambiguous, (ii) it is extracted from the passage, (iii) it is...
Vietnam Technological and Commercial Joint- stock Bank
5
NIv2
task1570_cmrc2018_answer_generation
zs_opt
[ 0.04712580144405365, 0.3054216504096985, -0.4305177330970764, 0.19582056999206543, 0.001095567480660975, 0.18591681122779846, 0.19679659605026245, 0.7129186987876892, -0.08076437562704086, 0.7279621362686157, 0.03785035386681557, 0.4745200574398041, -0.08760717511177063, 0.2338077127933502...
Part 1. Definition Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasona...
Ако искате да разкажете история, трябва да намерите вход.
7
NIv2
task415_mickey_bg_sentence_perturbation_generation
fs_opt
[ 0.2500360906124115, 0.3237845301628113, -0.3017941117286682, -0.5332947969436646, -0.026293370872735977, -0.6082803010940552, 1.2921817302703857, 0.8234768509864807, 1.0252283811569214, -0.38312503695487976, -0.7158036828041077, 0.4271649122238159, -0.6516956090927124, -0.06011443585157394...
Definition: 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. Input: YlBFqnlfGZbFSioqRmXGCcaa, SzszuwGZbFSioqRmdjONamVgTa Output:
a, b, d, f, g, i, j, m, n, o, q, r, s, t, u, v, w, z
2
NIv2
task756_find_longert_substring_and_return_all_unique_alphabets_in_it
zs_opt
[ -0.028491122648119926, 1.3518832921981812, -0.04899978265166283, -0.6801539063453674, 0.19873292744159698, 0.1266442835330963, 1.0195198059082031, -0.6718727350234985, 0.24550029635429382, -0.31153199076652527, -0.5620850920677185, 0.29810866713523865, -0.09894111752510071, -0.086669892072...
Q: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" b...
Inversion
7
NIv2
task516_senteval_conjoints_inversion
zs_opt
[ -0.49043482542037964, 0.8327944278717041, 0.23748603463172913, 0.058609168976545334, 0.20749236643314362, -0.6638153791427612, 0.04801550880074501, 0.891587495803833, -0.02729729190468788, -0.25101229548454285, -0.35314974188804626, -0.5606033802032471, -0.7205536961555481, -0.286608964204...
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu Q: Have questions about your next trip? A: English **** Q: 20:1 And the Lord spoke all these words: A: English **** Q: What others are saying A:
English ****
4
NIv2
task1618_cc_alligned_classify_tel_eng
fs_opt
[ -0.022828254848718643, 1.023289442062378, 0.4960789382457733, -0.2085435390472412, -0.25148504972457886, -1.6364009380340576, 0.4765958786010742, 0.09988334774971008, -0.4939649701118469, -0.5416365265846252, 0.05019311234354973, 0.20511394739151, -0.4904572665691376, -0.2328249216079712, ...
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5. Sentence: 'a propeller plane sits parked inside of a building'. Reverse all words of length '8' in the given sentence. a propeller plane...
egral shower sectional of a bathroom in a nworb and etihw photograph
0
NIv2
task378_reverse_words_of_given_length
fs_opt
[ -0.3788742125034332, 0.683274507522583, -0.40339431166648865, -0.6694290637969971, -0.40264225006103516, 0.24755363166332245, 0.2844339907169342, 0.28654199838638306, 0.5604655146598816, -0.5169190168380737, -1.3862929344177246, -0.0054266247898340225, -0.49322038888931274, -0.109273336827...
Detailed Instructions: In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel. Q: ioWozDnzJaWoi A:
WzDnzJW
9
NIv2
task365_synthetic_remove_vowels
zs_opt
[ 0.9456003904342651, 1.344996452331543, -0.06781893968582153, -0.47576114535331726, 0.3166884481906891, -0.43323850631713867, 0.29173561930656433, 0.3928548991680145, -0.18051263689994812, -0.04264049977064133, 0.012801649048924446, -0.5057450532913208, -0.0761142149567604, -0.6514366865158...
Given the task definition and input, reply with output. You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No". original question...
No
5
NIv2
task404_grailqa_paraphrase_validation
zs_opt
[ -1.1720050573349, 0.5561466813087463, 0.2217850387096405, -0.0054980129934847355, -0.4670233726501465, -0.3328831195831299, 0.6090559363365173, 0.7533464431762695, 0.7256139516830444, 0.017984867095947266, -0.03906402364373207, -0.4460374414920807, -0.23840025067329407, -0.0332461670041084...
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish. Input: もちろん人類は明晰で創造力のある種ですがあまりに多くのものを作り経済がとても巨大になったのですとても巨大になったのでわれらの主人の地球より経済の方が大きくなったのです Output:
Oczywiście jesteśmy fantastycznym i twórczym gatunkiem, ale wytworzyliśmy już trochę za dużo. Tak dużo, że nasza gospodarka jest obecnie większa od naszego gospodarza, naszej planety.
3
NIv2
task1097_ted_translation_ja_pl
zs_opt
[ -0.08863887190818787, 1.2387956380844116, -0.19567370414733887, 0.032495200634002686, -0.769545316696167, -1.3689155578613281, -0.24304400384426117, -0.41175898909568787, -0.34609270095825195, -0.6022138595581055, -0.7543691396713257, 0.6397732496261597, -0.5537551641464233, -0.64626252651...
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill. Extractive Industries Transparency Disclosure Act - Amends the Securities Exchange Act of 1934 to instruc...
A bill to require, for the benefit of shareholders, the disclosure of payments to foreign governments for the extraction of natural resources, to allow such shareholders more appropriately to determine associated risks.
0
NIv2
task1659_title_generation
zs_opt
[ -0.9714439511299133, 0.3795163035392761, -0.19113004207611084, 0.05021939426660538, 0.03644847869873047, -0.4648562967777252, 0.3738015294075012, 0.6237598657608032, -0.21629323065280914, 0.7629743218421936, -0.005185872316360474, -0.06280791759490967, -0.2847999930381775, -0.4885665774345...
Teacher: 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. Teacher: Now, understand the problem? If you are sti...
English
2
NIv2
task427_hindienglish_corpora_hi-en_language_identification
fs_opt
[ 0.14540867507457733, -0.32508453726768494, 0.6652714014053345, -0.008554378524422646, 0.4048452377319336, -0.971311628818512, -0.21611741185188293, 0.5053543448448181, 0.2736774682998657, -0.6566919088363647, -0.5103129744529724, -0.23683616518974304, -0.0010877029271796346, -0.36549115180...
Given the task definition, example input & output, solve the new input case. 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 ...
1
1
NIv2
task201_mnli_neutral_classification
fs_opt
[ 0.3267104923725128, 0.4012220501899719, 0.019461270421743393, 0.6675538420677185, 0.19872988760471344, -0.04130499064922333, -0.26629871129989624, 0.9263285994529724, 0.41373759508132935, -0.0831267237663269, -0.22692425549030304, 0.2666541039943695, -0.33102068305015564, -0.28449654579162...
Teacher: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 t...
No
6
NIv2
task1214_atomic_classification_xwant
zs_opt
[ -0.06580138206481934, 0.41050097346305847, 0.18694867193698883, -0.6693439483642578, -0.5173032283782959, -1.076430320739746, 1.5461835861206055, -0.21440082788467407, -0.5853867530822754, -0.7814660668373108, -0.2433033585548401, -0.4602387249469757, -0.7941082715988159, 0.120923280715942...
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 consistency, answers should be in all lower cased letters. One example: Category: EVERYBODY TALKS ABOUT IT... Clue: In the winter of 1971-72, a record 1...
levites
6
NIv2
task305_jeopardy_answer_generation_normal
fs_opt
[ 0.2012169361114502, 0.38296324014663696, -0.18395429849624634, -0.2590322494506836, -0.3209496736526489, -0.16429048776626587, 0.6866366267204285, -0.1726970672607422, 0.36565226316452026, -0.43038418889045715, -0.6495023369789124, -0.5192126035690308, -1.3032957315444946, 0.51052325963974...
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D...
MD
4
NIv2
task584_udeps_eng_fine_pos_tagging
zs_opt
[ -0.008049546740949154, 0.37880954146385193, -0.005880000535398722, 0.28211891651153564, -0.03358539193868637, -0.6221944093704224, 0.6261449456214905, 0.9521954655647278, -0.48215827345848083, -0.11000429838895798, -0.2980484664440155, 0.25338149070739746, -0.24510860443115234, 0.059792615...
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew. أريدكم ان تتخيلوها في عقولكم A:
אני רוצה שתדמיינו אותה בראש.
7
NIv2
task1233_ted_translation_ar_he
zs_opt
[ -0.8843919038772583, 1.0055270195007324, 0.33959004282951355, -0.6174544095993042, -0.6018438339233398, 0.5505551695823669, 0.5673514604568481, -0.08814121782779694, 1.1832821369171143, -0.26312100887298584, 0.09020526707172394, 0.1595933884382248, -0.8432402610778809, 0.0763983428478241, ...
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'. Q: Dialogue 1: 'i been on the low been taking my time i been good i can't complain and that's all y...
yes
4
NIv2
task518_emo_different_dialogue_emotions
zs_opt
[ -0.5220804214477539, 0.23916414380073547, -0.10728710144758224, -0.4456803798675537, -0.209409698843956, 0.04622458666563034, 1.1513969898223877, -0.03327179327607155, -0.1465453803539276, -0.6224955320358276, 0.2073524296283722, -0.8297386765480042, -0.8124077320098877, 0.3775613307952881...
Q: You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types: (1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons ...
Location.
7
NIv2
task046_miscellaneous_question_typing
zs_opt
[ 0.9340850114822388, -0.23261335492134094, -0.18128442764282227, 0.008695884607732296, 0.018263770267367363, -0.87852543592453, 0.9398350715637207, 0.8050529360771179, -0.41560208797454834, -0.20709733664989471, -0.2646913528442383, 0.5010989904403687, -0.1183013916015625, -0.01380944531410...
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...
the man is diving
4
NIv2
task188_snli_neutral_to_entailment_text_modification
zs_opt
[ -0.7423024773597717, 0.5347671508789062, -0.011011656373739243, -1.7246551513671875, -0.08484768867492676, -0.03746709227561951, 0.47831207513809204, 0.580562949180603, 0.24966323375701904, -0.5353155136108398, -0.9230119585990906, -0.6306453943252563, -0.7324306964874268, -0.0371001586318...
In this task you need to give reasons to justify the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a question about how to justify the coreference between a noun phrase and the target pronoun. Good practices involve the discussion about how the descriptions att...
Because The journalists wanted to interview the stars. The stars had a choice. The stars agreed.
4
NIv2
task134_winowhy_reason_generation
zs_opt
[ -0.144943505525589, 0.32429689168930054, -0.40084198117256165, 0.29055097699165344, -0.018167033791542053, -0.3733363747596741, 0.002595763187855482, 0.42451468110084534, 0.45146238803863525, -0.6777864098548889, -1.015291690826416, 0.21108275651931763, -0.712390661239624, -0.1379056572914...
You will be given a definition of a task first, then some input of the task. In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present"...
Present
1
NIv2
task429_senteval_tense
zs_opt
[ -0.4018815755844116, 0.376716285943985, 0.4307357668876648, 0.6720067262649536, 0.41931599378585815, -0.17719340324401855, 0.7325081825256348, 1.0473827123641968, 0.08517614006996155, -0.05949472263455391, -0.5818901062011719, -0.6193314790725708, -0.5633813142776489, -0.1675603985786438, ...
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal. -------- Question: Defects in phagocytic nicotinamide adenine dinucleotide phosphate oxidase 2 (NOX2) ...
0
7
NIv2
task848_pubmedqa_classification
fs_opt
[ 0.18836410343647003, -0.3590138554573059, -0.3654117286205292, 0.03134321793913841, 0.920718789100647, -0.6296647787094116, 0.767129123210907, 0.722470760345459, 0.18565329909324646, 0.52362459897995, -0.21338140964508057, -0.4614778161048889, -0.7437321543693542, 0.4276827573776245, -0....
Given the task definition and input, reply with output. In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Class...
C
5
NIv2
task580_socialiqa_answer_generation
zs_opt
[ -0.2742670476436615, 0.6890607476234436, -0.033545657992362976, 0.0022087038960307837, -0.10154174268245697, 0.07229480892419815, 0.11484556645154953, 0.2284853160381317, 0.38034841418266296, -0.06365866959095001, -0.7767860889434814, -0.2335638552904129, 0.12701839208602905, -0.1405520439...
instruction: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e....
no
9
NIv2
task472_haspart_classification
fs_opt
[ -0.564778208732605, 0.33389437198638916, 0.2984386086463928, -0.008873498067259789, -0.23780381679534912, -0.9832386374473572, 0.2325870245695114, 0.8066420555114746, 0.4556038975715637, -0.38688433170318604, -0.5743396282196045, -0.22311624884605408, -0.18827460706233978, 0.18047356605529...
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 packets
3
NIv2
task304_numeric_fused_head_resolution
fs_opt
[ 0.19912441074848175, 0.5591329336166382, -0.5086420774459839, -0.01814485713839531, -0.20501483976840973, -0.4169633984565735, 1.3574702739715576, 0.8401274085044861, -0.10286247730255127, 0.1549399495124817, -0.46417999267578125, 0.4327950179576874, -0.5042322874069214, -0.072713315486907...
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line. [...
The outermost layer of the anterior side of the kidney is called the? Anterior renal fascia
5
NIv2
task671_ambigqa_text_generation
fs_opt
[ 0.5827425122261047, 0.6671952605247498, -0.8949835896492004, 0.5315144062042236, -0.300386905670166, -0.693493127822876, 0.3226599097251892, 0.34964433312416077, 0.26089006662368774, -0.340812087059021, -0.14188627898693085, 1.204908847808838, -0.4496103823184967, 0.07508236169815063, 0....
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions wh...
How often had they built a house before?
4
NIv2
task015_mctaco_question_generation_frequency
zs_opt
[ -0.3926878571510315, 0.49969369173049927, -0.29795730113983154, -0.36939626932144165, 0.07963082194328308, -1.128967523574829, 0.7345340847969055, -0.06525175273418427, -0.6224603652954102, -0.1674780398607254, -0.5312488675117493, 0.9777374267578125, -0.9058105945587158, 0.649270236492157...
Detailed Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to th...
Because when the writer came home , gas was $ 3.89 .
9
NIv2
task025_cosmosqa_incorrect_answer_generation
zs_opt
[ 0.21180006861686707, 0.4570382535457611, 0.08340033888816833, -0.2053777277469635, -0.2486577332019806, -1.1574898958206177, 0.4047210216522217, 0.974900484085083, -0.09992283582687378, -0.0134509839117527, -0.45540133118629456, -0.4286057949066162, -0.5480730533599854, -0.5033195614814758...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew. Ex Input: وذلك باستعارة جينات البروتين المضاد للتجمد من الأسماك وجينات تحمل الجفاف من نباتات أخرى كالأرز وبعدها نزرعها في النباتات المحتاجة لها ، وحالياً نملك نباتات تتحمل أقصى درجات الجفاف و البرد. Ex Output: על ידי השאלת ג...
ויצרנו פרוייקט שקראנו לו אתגר CyArk 500 — וזה לשמר דיגיטלית 500 אתרי מורשת עולמיים בחמש שנים.
1
NIv2
task1233_ted_translation_ar_he
fs_opt
[ -0.5717947483062744, -0.07654038071632385, -0.731884777545929, 0.4446774125099182, -0.5940979719161987, -0.42713963985443115, 0.7147951126098633, 0.09600690007209778, 0.24922984838485718, -0.11558470129966736, -1.1092839241027832, 0.1773364245891571, -1.024099588394165, 0.524935245513916, ...
Given the task definition, example input & output, solve the new input case. In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newli...
effect
1
NIv2
task1183_xcopa_commonsense_cause_effect_vi
fs_opt
[ -0.2676374316215515, 0.35863614082336426, -0.26010048389434814, -0.39583712816238403, -0.08568825572729111, 0.009067580103874207, 0.03171458840370178, 1.3505275249481201, 0.3788045048713684, -0.017395755276083946, -0.5592042207717896, 0.19131776690483093, -0.2445823848247528, -0.2618049681...
Part 1. Definition In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer. Part 2. Example Con...
what are they glamorizing?
7
NIv2
task240_tweetqa_question_generation
fs_opt
[ 0.6219189763069153, 0.28492486476898193, -0.16156694293022156, -0.6493047475814819, 0.6610081195831299, -0.6693930625915527, 0.902441143989563, 0.8860072493553162, -0.15864871442317963, -0.3649270534515381, -0.7132927179336548, 0.669080913066864, -0.1482432335615158, -0.06650922447443008, ...
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese. Let me give you an example: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro. The answer to this example can be: No final, esp...
E tivemos bastante sorte em descobrir que as mutações que danificam um único gene chamado daf-2 duplicam o tempo de vida daquele pequeno verme.
8
NIv2
task1246_ted_translation_gl_pt
fs_opt
[ -0.8487029671669006, 0.7117871046066284, 0.16039812564849854, -1.3180179595947266, -0.5014636516571045, -1.1361701488494873, 0.20982839167118073, 0.14727559685707092, -0.22770147025585175, -0.05611841753125191, -0.9196262955665588, 0.6617783308029175, -0.9942431449890137, 0.417209267616272...
Q: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct ...
True
7
NIv2
task1187_politifact_classification
zs_opt
[ -0.5855375528335571, 0.42783915996551514, -0.36050283908843994, -0.40884125232696533, -0.48392170667648315, -0.25569507479667664, 0.8730674386024475, -0.0275132954120636, 0.47849565744400024, 0.22073885798454285, -0.568061113357544, 0.42211949825286865, -0.7160069942474365, -0.244093656539...
Definition: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character. Input: oovfvvofvovovoo Output:
vovov
2
NIv2
task850_synthetic_longest_palindrome
zs_opt
[ -0.24924695491790771, 0.9837986826896667, -0.2973863482475281, -0.430279403924942, -0.12986233830451965, 0.04982743412256241, 1.1727595329284668, -0.27108705043792725, 0.38033246994018555, -0.19934427738189697, -0.8421814441680908, 0.01914491504430771, -0.585465133190155, 0.383930742740631...
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). Q: Dado que su autor no está presente, la pregunta nº 52 decae. A: As the author is not present, Question No ...
Recent events have shown us that these regulations are essential. ****
4
NIv2
task531_europarl_es_en_translation
fs_opt
[ -0.36846059560775757, 0.38698479533195496, 0.768569827079773, -0.42061832547187805, 0.37388283014297485, -0.5159647464752197, 0.7117960453033447, 0.5116806030273438, -0.3300422430038452, 0.3087678849697113, -0.06915055215358734, 0.28607428073883057, -0.656845211982727, 0.30748772621154785,...
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: as the mass of an object increases , the force required to push that object will increa...
requires more muscle power to shift
3
NIv2
task1399_obqa_answer_generation
zs_opt
[ 0.5490253567695618, 1.0130341053009033, -0.5634616017341614, -0.01008415687829256, -0.7123688459396362, -0.5149081945419312, 0.4112105965614319, 0.9860807657241821, 0.20710262656211853, -0.5634081363677979, -1.164235234260559, -0.07947658002376556, -1.0480480194091797, 0.2328101098537445, ...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew. Q: comenzamos el proyecto con un reporte provisional, que rápidamente juntó mucha información de muchos, muchos investigadores. A: התחלנו את הפרויקט עם דו "" ח זמני, שארגן במהירות מידע רב שנאסף על הנושא על ידי חוקרים רבים ...
ואקרא לכלי הזה TED Pad. ****
4
NIv2
task1229_ted_translation_es_he
fs_opt
[ -0.5915926694869995, 0.6091575622558594, 0.06446138024330139, -0.07167589664459229, -0.08398765325546265, -0.6560214161872864, 0.016509192064404488, 0.6309459805488586, 0.734542727470398, -0.47170910239219666, -0.47618693113327026, 0.5126923322677612, -0.6447829008102417, 0.071819707751274...
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text. Ex Input: Rory Cellan-JonesTechnology correspondent@BBCRoryCJon Twitter The man behind the design of the iPhone, the iPod and countless other i-products was just another young designer at Apple's Cupert...
The Conservatives are due to take control of Colchester Borough Council for the first time in 13 years.
1
NIv2
task1357_xlsum_summary_generation
fs_opt
[ 0.15711671113967896, 0.8212913274765015, -0.8566166758537292, -0.014454221352934837, 0.27643561363220215, 0.00027885427698493004, 0.09464932978153229, 0.6747417449951172, 0.11613541841506958, 0.7065036296844482, -0.32199716567993164, 0.8147552013397217, -0.1810200810432434, -0.078161761164...
Detailed Instructions: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the us...
user
9
NIv2
task1599_smcalflow_classification
zs_opt
[ -0.5025468468666077, 0.19218428432941437, -0.02591896429657936, -0.202872633934021, -0.2975502610206604, -0.6731115579605103, 0.24444003403186798, -0.3658474087715149, 0.7655439376831055, -0.031343117356300354, -0.1032082736492157, 0.24217143654823303, -0.8297804594039917, 0.84023827314376...
Teacher:You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to ...
It was easier for PersonX to speak in public than it was for PersonY because _ was an outgoing person.
6
NIv2
task032_winogrande_question_generation_person
zs_opt
[ 0.1770380139350891, 0.6204391717910767, 0.3116633892059326, -0.31465426087379456, 0.17693257331848145, -0.21341341733932495, 0.5374941229820251, 0.5421063303947449, 0.24453389644622803, -0.7867945432662964, -0.007688424549996853, 0.05079864338040352, -0.09964312613010406, -0.27658030390739...
You will be given a definition of a task first, then some input of the task. 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 ...
He was very happy when he scored the winning goal!
1
NIv2
task071_abductivenli_answer_generation
zs_opt
[ 0.13985995948314667, 0.7003598213195801, -0.3684888184070587, -0.29485762119293213, -0.21680355072021484, 0.29409030079841614, 0.6116676330566406, 0.4895661175251007, -0.08979014307260513, -0.2135809361934662, -0.6182669401168823, 0.23532578349113464, 0.30995064973831177, -0.10942623019218...
Instructions: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect. Input: What is the most common c...
coal smoke exposure
3
NIv2
task592_sciq_incorrect_answer_generation
zs_opt
[ -0.30226460099220276, 0.6716017127037048, -0.428020179271698, -1.0364415645599365, -0.2597784996032715, -0.36233049631118774, -0.5220064520835876, 0.4993608295917511, 0.051338814198970795, -0.25547581911087036, -0.6664014458656311, 0.024363581091165543, -0.47064128518104553, 0.284067362546...
Detailed Instructions: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produ...
Grain alcohol is produced by fermentation of the glucose in corn or other plants.
9
NIv2
task038_qasc_combined_fact
zs_opt
[ 0.038128845393657684, 0.6693766713142395, -0.0555979423224926, -0.26879775524139404, -0.7128976583480835, -1.3739209175109863, -0.24662722647190094, 1.3068482875823975, -0.31359678506851196, 0.4082406759262085, -0.9493880271911621, 0.5352847576141357, -0.9110772609710693, 0.199849188327789...
Teacher: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context. Teacher: Now, understand the problem? If you are still confused, see the following example: Context: Chronic rhinosinusitis (CRS) is a hete...
Active pulmonary perfusion reduces the inflammatory response and apoptosis in the lungs observed during conventional CPB. This effect is greatest when pulmonary perfusion is performed with pulsatility. The reduction in cytokine expression by pulsatile pulmonary perfusion might be mediated by AP-1 and NF-kappaB.
2
NIv2
task849_pubmedqa_answer_generation
fs_opt
[ 0.1984069049358368, 0.36338257789611816, -0.3621862530708313, -0.2890535295009613, 0.5220080614089966, -0.6611471176147461, 0.22420349717140198, 0.4612157940864563, -0.18866349756717682, 0.08864903450012207, -0.25323548913002014, 0.04328151047229767, -0.8587746620178223, 0.3694734573364258...
Definition: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5. Input: Sentence: 'a man eating pizza on a lawn with a woman'. Reverse all words of length '1' in the given sentence. Output:
a man eating pizza on a lawn with a woman
2
NIv2
task378_reverse_words_of_given_length
zs_opt
[ -0.45245370268821716, 0.2969498634338379, 0.22502505779266357, -0.38981014490127563, 0.0017269110539928079, 0.2588474750518799, -0.1331666260957718, 0.47795066237449646, 0.45386022329330444, -0.4136446714401245, -1.3854334354400635, -0.20963343977928162, -0.49958479404449463, 0.02304661646...
Part 1. Definition In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from...
[['7', 'i', '4'], ['7', 'i', '7'], ['7', '4', '7'], ['i', '4', '7']]
7
NIv2
task208_combinations_of_list
fs_opt
[ 0.28643301129341125, 0.07072460651397705, -0.7972991466522217, 0.11046745628118515, 0.7483769655227661, -0.30753692984580994, 0.5944035649299622, 1.0494558811187744, -0.19624356925487518, 0.1118193119764328, -0.2534359395503998, -0.1067146584391594, -0.2586633265018463, -0.4453595578670501...
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish. Q: Por exemplo, temos un paciente cun membro pantasma. Se lles quitaron un brazo e vostedes teñen un membro pantasma e miran a alguén ó que están a tocar, sentirano no seu membro pantasma. A:
Tienen un paciente con un miembro fantasma. Si le han quitado el brazo y tiene un miembro fantasma, y observa que acarician a alguien, lo siente en su miembro fantasma.
9
NIv2
task1240_ted_translation_gl_es
zs_opt
[ 0.5817304849624634, 0.8930511474609375, 0.15948976576328278, -0.40844857692718506, 0.0727137103676796, -1.8097248077392578, 0.871840238571167, 0.4587016999721527, -0.0072991917841136456, 0.5576708316802979, 0.42060625553131104, 0.7882890105247498, -0.6751755475997925, 0.7435441017150879, ...
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female). Problem:Roger found himself in a hilarious situation. Solution:
male
8
NIv2
task1336_peixian_equity_evaluation_corpus_gender_classifier
zs_opt
[ -0.7766757011413574, 0.37110042572021484, -0.3013962507247925, -0.6723971962928772, -0.4432644546031952, -0.2968981862068176, 0.8003082275390625, 0.3771686255931854, 1.1474329233169556, -0.32434576749801636, -1.1250895261764526, -0.48837465047836304, -0.25931990146636963, -0.30486425757408...
Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant. Input: Sure, Si...
assistant
3
NIv2
task577_curiosity_dialogs_classification
zs_opt
[ -0.16182158887386322, 0.4746863842010498, -0.5685432553291321, -0.4316200017929077, -0.7325009107589722, 0.541610598564148, 1.035757064819336, 0.12486767768859863, 0.6727851629257202, -0.12598764896392822, -0.42369526624679565, -0.5089355707168579, 0.04226052016019821, 0.25103282928466797,...
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article. Example input: Article: Homework can p...
Yes
3
NIv2
task310_race_classification
fs_opt
[ 0.350757896900177, 0.33709537982940674, -0.3530978560447693, -0.44680115580558777, 0.40215003490448, -0.10170777887105942, 1.123042106628418, 0.8601380586624146, 0.1028590202331543, -0.023059260100126266, -0.10223828256130219, 0.11115355789661407, -0.00604264298453927, 0.1763494908809662, ...
You will be given a definition of a task first, then some input of the task. Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the ...
green_cupboard
1
NIv2
task153_tomqa_find_location_hard_clean
zs_opt
[ 0.5272729992866516, -0.4280814528465271, -0.546729564666748, 0.03684955835342407, 0.367770791053772, -0.3272308111190796, -0.27154970169067383, 1.0039112567901611, -0.18310612440109253, 0.0715833529829979, -0.13761556148529053, 0.28707224130630493, -0.32195523381233215, 0.23248893022537231...
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 i...
NOUN
6
NIv2
task1168_brown_coarse_pos_tagging
zs_opt
[ 0.48200833797454834, 0.3914368748664856, -0.37611114978790283, 0.18338657915592194, -0.17486035823822021, -0.7988914847373962, 1.0241484642028809, 0.5308392643928528, 0.11102396249771118, 0.20402498543262482, -0.46180492639541626, 0.4383677840232849, -0.4396199882030487, 0.3961737155914306...
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo...
[284, -131, -52, 54, -19, -74, 56, -55, -73]
3
NIv2
task122_conala_list_index_addition
fs_opt
[ 0.3735041916370392, -0.11045817285776138, -0.7869175672531128, -0.47717273235321045, 0.015777040272951126, -0.12616758048534393, 0.8788825273513794, 0.754487156867981, -0.5350102186203003, 0.014232085086405277, -0.5257778167724609, 0.3000040352344513, -0.15666945278644562, -0.1854694038629...
Given the task definition, example input & output, solve the new input case. In this task, you need to replace a letter in the sentence with another given letter. Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence. Output: grnup nf mntnrcycle...
n desk with n computer nnd nssorted other things on it
1
NIv2
task160_replace_letter_in_a_sentence
fs_opt
[ -0.42319586873054504, 0.7162478566169739, -0.5699183940887451, -0.3560563325881958, 0.2790036201477051, 0.1401548534631729, -0.4726347327232361, 0.6772951483726501, 0.7324947118759155, -0.10913579910993576, -0.18126346170902252, -0.13207510113716125, 0.34359225630760193, -0.597509145736694...
You are given a statement written in Kannada. 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: ಸಮುದ್ರವಾಸಿ ಅಥವಾ ನದೀಮುಖದಲ್ಲಿರುವ ಮೊಸಳೆ ಯು (ಕ್ರಾಕಡೈಲಸ್‌ ಪೋರೋಸಸ್‌ ) ಎಲ್ಲಾ ಜೀವಂತ ಸರೀಸೃಪಗಳ ಪ...
ಬಿಹಾರ
3
NIv2
task948_wiki_cloze_kn_multiple_choice_question_answering
fs_opt
[ 0.752774715423584, 0.33130478858947754, -0.4123711884021759, -0.3069457411766052, 0.21778300404548645, -0.45415210723876953, 0.1674167513847351, 1.1947219371795654, -0.6058622002601624, 0.24626460671424866, 0.3846450448036194, 0.2564390003681183, -0.28120937943458557, -0.29382842779159546,...
Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words. Input: UN Secretary-General Ban Ki-moon said: "Biological diversity underpins ecosystem functioning... its continued loss, therefore, ha...
Biodiversity - a kind of washing powder?
3
NIv2
task1356_xlsum_title_generation
zs_opt
[ 0.0510423369705677, 0.4570648670196533, -0.752595841884613, -0.14216062426567078, -0.1426529437303543, -0.555727481842041, -0.03450355678796768, 0.5833368301391602, -0.7286314964294434, 0.21972601115703583, -0.34193140268325806, 0.677503228187561, -0.8864086866378784, 0.18792292475700378, ...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew. Afinal de contas elas é que decidem, e decidiram mesmo. Solution: אחרי הכל, הם החליטו, והם עשו, ...
איך אנו יודעים זאת?
0
NIv2
task1278_ted_translation_pt_he
fs_opt
[ 0.41557711362838745, 0.7753052711486816, 0.6395406126976013, 0.26029741764068604, -0.49270719289779663, -0.483348548412323, 0.8073536157608032, 0.36126184463500977, 0.46227842569351196, -0.20100603997707367, -0.3564338684082031, 0.18088650703430176, -0.5243768095970154, 0.02737316302955150...
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False" Let me give you an example: فتوسنتز فرایندی زیست‌شیمیایی است که در آن، انرژی نورا...
False
8
NIv2
task396_persianqa_classification
fs_opt
[ 0.5784593820571899, 0.34290075302124023, -0.355403870344162, 0.46231159567832947, -0.18263718485832214, -0.1419573426246643, 0.2567257285118103, 1.1623659133911133, -0.11308354884386063, 0.3432389199733734, -0.8650089502334595, 0.13672056794166565, -0.5944881439208984, 0.10027243196964264,...
Definition: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense. Input: Begin...
2
2
NIv2
task070_abductivenli_incorrect_classification
zs_opt
[ -0.3070302903652191, 0.07057812809944153, 0.3487326502799988, -0.3661248981952667, -0.3768351078033447, 0.507854163646698, 0.6161468029022217, 0.15019027888774872, 0.12974092364311218, -0.2856350839138031, -1.106041669845581, -0.2510751485824585, -0.09193708002567291, -0.11485344171524048,...
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. Example: Context: Tracy didn't go home that evening and resisted Riley'...
Solution: Yes
5
NIv2
task579_socialiqa_classification
fs_opt
[ 0.21294379234313965, 0.3800249993801117, 0.6914063692092896, 0.11831817030906677, 0.0036561740562319756, -0.7232019901275635, 0.44353294372558594, 0.6836556196212769, 0.2480188012123108, 0.2214128077030182, -0.0747988373041153, -0.03905937820672989, 0.11460378021001816, -0.3314177393913269...
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ...
Output: Ó dùn wá pé tọkọtaya kan àtàwọn ọmọ kékeré mẹ́ta táwọn òbí wọn ti ṣèrìbọmi ṣaláìsí, torí pé wọ́n ṣàìsàn.
2
NIv2
task1619_menyo20k-mt_en_yo_translation
fs_opt
[ 0.24031797051429749, 0.03859788551926613, -0.24537786841392517, 0.1327601969242096, 0.5574000477790833, -0.3307717442512512, 0.42122405767440796, 0.4301994740962982, 0.1049249991774559, -0.27713191509246826, -0.26374539732933044, 0.608625054359436, -0.8273918032646179, 0.5797823667526245, ...
Teacher:Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the g...
1
6
NIv2
task1584_evalution_meronym_classification
zs_opt
[ -0.852192223072052, 0.44355976581573486, -0.21134841442108154, 0.5833388566970825, -0.2989708483219147, -0.48741614818573, 1.1230418682098389, 0.7304937839508057, -0.1720840185880661, -0.560893714427948, -0.5429734587669373, 0.34401997923851013, -0.6974904537200928, 0.03312624618411064, ...
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph. Example input: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene....
increased threats from terrorist groups?
3
NIv2
task239_tweetqa_answer_generation
fs_opt
[ -0.07518526911735535, 0.5489048957824707, 0.1705993413925171, -0.4096949100494385, -0.03140070661902428, -0.8375006914138794, 0.4884195923805237, 0.16601133346557617, -0.11956761032342911, 0.03355563431978226, -0.20212547481060028, -0.108456090092659, -0.42755478620529175, -0.3171502053737...
Instructions: Given scientific fact as input, generate the question from this fact such that it can be answered from the input. Input: Local winds type of winds blow over a limited area. Output:
What type of winds blow over a limited area?
3
NIv2
task1552_scitail_question_generation
zs_opt
[ -1.0783743858337402, 1.8891210556030273, -0.2732008099555969, -0.41150957345962524, -0.08433987200260162, -0.7343876957893372, -0.3418217897415161, 0.5760236978530884, 0.44121068716049194, -0.3903222680091858, -0.9831550121307373, 0.8092538118362427, -0.631765604019165, -0.4986337125301361...